metadata.csv

"id","file","taxon","input_data","modelling_method","output_type","future_projections","uncertainty_type","model_performance","model_performance_measure","xmin","xmax","ymin","ymax","x_resolution","y_resolution","spatial_units","crs","repo","data_usage_notes","licence","reference","citation"
"Ch2019-Scleractinia","Ch2019-Scleractinia_cog.tif","Scleractinia","samples from bottom trawling and dredging","ensemble (multiple species distribution modelling methods)","habitat suitability",FALSE,,0.99,"AUC",-3282496,2147244,194298,3333134,3719,3719,"m","EPSG:3031",,,"CC-BY 4.0","Chaabani S, López-González PJ, Casado-Amezua P, Pehlke H, Weber L, Martínez-Baraldés I, Jerosch K (2019) Ecological niche modelling of cold-water corals in the Southern Ocean (N Antarctic), present distribution and future projections due to temperature changes. Marine Ecology Progress Series 10.3354/meps13085","See reference"
"Ch2019-Scleractinia-SRESA1B-2037","Ch2019-Scleractinia-SRESA1B-2037_cog.tif","Scleractinia","samples from bottom trawling and dredging","ensemble (multiple species distribution modelling methods)","habitat suitability",TRUE,,0.99,"AUC",-3282496,2147244,194298,3333134,3719,3719,"m","EPSG:3031",,,"CC-BY 4.0","Chaabani S, López-González PJ, Casado-Amezua P, Pehlke H, Weber L, Martínez-Baraldés I, Jerosch K (2019) Ecological niche modelling of cold-water corals in the Southern Ocean (N Antarctic), present distribution and future projections due to temperature changes. Marine Ecology Progress Series 10.3354/meps13085","See reference"
"Ch2019-Scleractinia-SRESA1B-2150","Ch2019-Scleractinia-SRESA1B-2150_cog.tif","Scleractinia","samples from bottom trawling and dredging","ensemble (multiple species distribution modelling methods)","habitat suitability",TRUE,,0.99,"AUC",-3282496,2147244,194298,3333134,3719,3719,"m","EPSG:3031",,,"CC-BY 4.0","Chaabani S, López-González PJ, Casado-Amezua P, Pehlke H, Weber L, Martínez-Baraldés I, Jerosch K (2019) Ecological niche modelling of cold-water corals in the Southern Ocean (N Antarctic), present distribution and future projections due to temperature changes. Marine Ecology Progress Series 10.3354/meps13085","See reference"
"Ch2012-relative_risk","Ch2012-relative_risk_cog.tif","alien vascular plants","propagule pressure and origins","numerical model","relative risk",FALSE,,,,-2869642,3210108,-2869642,2918280,48638,48638,"m","EPSG:3031",,,"CC-BY 4.0","Chown SL, Huiskes AHL, Gremmen NJM, Lee JE, Terauds A, Crosbie K, Frenot Y, Hughes KA, Imura S, Kiefer K, Lebouvier M, Raymond B, Tsujimoto M, Ware C, Van de Vijver B, Bergstrom DM (2012) Continent-wide risk assessment for the establishment of nonindigenous species in Antarctica. Proceedings of the National Academy of Sciences. 10.1073/pnas.1119787109","See reference"
"CR2014-Euphausia_crystallorophias","CR2014-Euphausia_crystallorophias_cog.tif","Euphausia crystallorophias","net trawls","boosted regression tree","probability of presence",FALSE,"CV",0.84,"AUC",-180.5,180.5,-77.75,-39.75,1,0.5,"degrees","EPSG:4326",,,"CC-BY 4.0","Cuzin-Roudy J, Irisson J-O, Penot F, Kawaguchi S, Vallet C (2014) Southern Ocean Euphausiids. In: de Broyer C, et al. (eds) The Biogeographic Atlas of the Southern Ocean. Scientific Committee on Antarctic Research, Cambridge UK, pp. 309-320","See reference"
"CR2014-Euphausia_superba","CR2014-Euphausia_superba_cog.tif","Euphausia superba","net trawls","boosted regression tree","probability of presence",FALSE,"CV",0.94,"AUC",-180.5,180.5,-77.75,-32.75,1,0.5,"degrees","EPSG:4326",,,"CC-BY 4.0","Cuzin-Roudy J, Irisson J-O, Penot F, Kawaguchi S, Vallet C (2014) Southern Ocean Euphausiids. In: de Broyer C, et al. (eds) The Biogeographic Atlas of the Southern Ocean. Scientific Committee on Antarctic Research, Cambridge UK, pp. 309-320","See reference"
"CR2014-Thysanoessa_macrura","CR2014-Thysanoessa_macrura_cog.tif","Thysanoessa macrura","net trawls","boosted regression tree","probability of presence",FALSE,"CV",0.84,"AUC",-180.5,180.5,-77.75,-33.75,1,0.5,"degrees","EPSG:4326",,,"CC-BY 4.0","Cuzin-Roudy J, Irisson J-O, Penot F, Kawaguchi S, Vallet C (2014) Southern Ocean Euphausiids. In: de Broyer C, et al. (eds) The Biogeographic Atlas of the Southern Ocean. Scientific Committee on Antarctic Research, Cambridge UK, pp. 309-320","See reference"
"CR2014-Euphausia_vallentini","CR2014-Euphausia_vallentini_cog.tif","Euphausia vallentini","net trawls","boosted regression tree","probability of presence",FALSE,"CV",0.87,"AUC",-180.5,180.5,-77.75,-40.25,1,0.5,"degrees","EPSG:4326",,,"CC-BY 4.0","Cuzin-Roudy J, Irisson J-O, Penot F, Kawaguchi S, Vallet C (2014) Southern Ocean Euphausiids. In: de Broyer C, et al. (eds) The Biogeographic Atlas of the Southern Ocean. Scientific Committee on Antarctic Research, Cambridge UK, pp. 309-320","See reference"
"El2021-Balaenoptera_physalus_01","El2021-Balaenoptera_physalus_01_cog.tif","Balaenoptera physalus","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.83,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"January mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Balaenoptera_physalus_02","El2021-Balaenoptera_physalus_02_cog.tif","Balaenoptera physalus","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.83,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"February mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Balaenoptera_physalus_03","El2021-Balaenoptera_physalus_03_cog.tif","Balaenoptera physalus","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.83,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"March mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Balaenoptera_physalus_04","El2021-Balaenoptera_physalus_04_cog.tif","Balaenoptera physalus","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.83,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"April mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Balaenoptera_physalus_05","El2021-Balaenoptera_physalus_05_cog.tif","Balaenoptera physalus","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.83,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"May mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Balaenoptera_physalus_06","El2021-Balaenoptera_physalus_06_cog.tif","Balaenoptera physalus","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.83,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"June mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Balaenoptera_physalus_07","El2021-Balaenoptera_physalus_07_cog.tif","Balaenoptera physalus","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.83,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"July mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Balaenoptera_physalus_08","El2021-Balaenoptera_physalus_08_cog.tif","Balaenoptera physalus","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.83,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"August mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Balaenoptera_physalus_09","El2021-Balaenoptera_physalus_09_cog.tif","Balaenoptera physalus","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.83,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"September mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Balaenoptera_physalus_10","El2021-Balaenoptera_physalus_10_cog.tif","Balaenoptera physalus","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.83,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"October mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Balaenoptera_physalus_11","El2021-Balaenoptera_physalus_11_cog.tif","Balaenoptera physalus","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.83,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"November mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Balaenoptera_physalus_12","El2021-Balaenoptera_physalus_12_cog.tif","Balaenoptera physalus","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.83,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"December mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Balaenoptera_musculus_intermedia_01","El2021-Balaenoptera_musculus_intermedia_01_cog.tif","Balaenoptera musculus intermedia","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.86,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"January mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Balaenoptera_musculus_intermedia_02","El2021-Balaenoptera_musculus_intermedia_02_cog.tif","Balaenoptera musculus intermedia","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.86,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"February mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Balaenoptera_musculus_intermedia_03","El2021-Balaenoptera_musculus_intermedia_03_cog.tif","Balaenoptera musculus intermedia","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.86,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"March mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Balaenoptera_musculus_intermedia_04","El2021-Balaenoptera_musculus_intermedia_04_cog.tif","Balaenoptera musculus intermedia","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.86,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"April mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Balaenoptera_musculus_intermedia_05","El2021-Balaenoptera_musculus_intermedia_05_cog.tif","Balaenoptera musculus intermedia","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.86,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"May mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Balaenoptera_musculus_intermedia_06","El2021-Balaenoptera_musculus_intermedia_06_cog.tif","Balaenoptera musculus intermedia","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.86,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"June mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Balaenoptera_musculus_intermedia_07","El2021-Balaenoptera_musculus_intermedia_07_cog.tif","Balaenoptera musculus intermedia","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.86,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"July mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Balaenoptera_musculus_intermedia_08","El2021-Balaenoptera_musculus_intermedia_08_cog.tif","Balaenoptera musculus intermedia","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.86,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"August mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Balaenoptera_musculus_intermedia_09","El2021-Balaenoptera_musculus_intermedia_09_cog.tif","Balaenoptera musculus intermedia","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.86,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"September mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Balaenoptera_musculus_intermedia_10","El2021-Balaenoptera_musculus_intermedia_10_cog.tif","Balaenoptera musculus intermedia","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.86,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"October mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Balaenoptera_musculus_intermedia_11","El2021-Balaenoptera_musculus_intermedia_11_cog.tif","Balaenoptera musculus intermedia","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.86,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"November mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Balaenoptera_musculus_intermedia_12","El2021-Balaenoptera_musculus_intermedia_12_cog.tif","Balaenoptera musculus intermedia","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.86,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"December mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Balaenoptera_bonaerensis_01","El2021-Balaenoptera_bonaerensis_01_cog.tif","Balaenoptera bonaerensis","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.83,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"January mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Balaenoptera_bonaerensis_02","El2021-Balaenoptera_bonaerensis_02_cog.tif","Balaenoptera bonaerensis","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.83,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"February mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Balaenoptera_bonaerensis_03","El2021-Balaenoptera_bonaerensis_03_cog.tif","Balaenoptera bonaerensis","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.83,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"March mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Balaenoptera_bonaerensis_04","El2021-Balaenoptera_bonaerensis_04_cog.tif","Balaenoptera bonaerensis","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.83,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"April mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Balaenoptera_bonaerensis_05","El2021-Balaenoptera_bonaerensis_05_cog.tif","Balaenoptera bonaerensis","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.83,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"May mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Balaenoptera_bonaerensis_06","El2021-Balaenoptera_bonaerensis_06_cog.tif","Balaenoptera bonaerensis","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.83,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"June mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Balaenoptera_bonaerensis_07","El2021-Balaenoptera_bonaerensis_07_cog.tif","Balaenoptera bonaerensis","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.83,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"July mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Balaenoptera_bonaerensis_08","El2021-Balaenoptera_bonaerensis_08_cog.tif","Balaenoptera bonaerensis","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.83,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"August mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Balaenoptera_bonaerensis_09","El2021-Balaenoptera_bonaerensis_09_cog.tif","Balaenoptera bonaerensis","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.83,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"September mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Balaenoptera_bonaerensis_10","El2021-Balaenoptera_bonaerensis_10_cog.tif","Balaenoptera bonaerensis","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.83,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"October mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Balaenoptera_bonaerensis_11","El2021-Balaenoptera_bonaerensis_11_cog.tif","Balaenoptera bonaerensis","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.83,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"November mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Balaenoptera_bonaerensis_12","El2021-Balaenoptera_bonaerensis_12_cog.tif","Balaenoptera bonaerensis","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.83,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"December mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Megaptera_novaeangliae_01","El2021-Megaptera_novaeangliae_01_cog.tif","Megaptera novaeangliae","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.9,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"January mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Megaptera_novaeangliae_02","El2021-Megaptera_novaeangliae_02_cog.tif","Megaptera novaeangliae","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.9,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"February mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Megaptera_novaeangliae_03","El2021-Megaptera_novaeangliae_03_cog.tif","Megaptera novaeangliae","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.9,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"March mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Megaptera_novaeangliae_04","El2021-Megaptera_novaeangliae_04_cog.tif","Megaptera novaeangliae","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.9,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"April mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Megaptera_novaeangliae_05","El2021-Megaptera_novaeangliae_05_cog.tif","Megaptera novaeangliae","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.9,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"May mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Megaptera_novaeangliae_06","El2021-Megaptera_novaeangliae_06_cog.tif","Megaptera novaeangliae","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.9,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"June mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Megaptera_novaeangliae_07","El2021-Megaptera_novaeangliae_07_cog.tif","Megaptera novaeangliae","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.9,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"July mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Megaptera_novaeangliae_08","El2021-Megaptera_novaeangliae_08_cog.tif","Megaptera novaeangliae","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.9,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"August mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Megaptera_novaeangliae_09","El2021-Megaptera_novaeangliae_09_cog.tif","Megaptera novaeangliae","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.9,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"September mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Megaptera_novaeangliae_10","El2021-Megaptera_novaeangliae_10_cog.tif","Megaptera novaeangliae","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.9,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"October mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Megaptera_novaeangliae_11","El2021-Megaptera_novaeangliae_11_cog.tif","Megaptera novaeangliae","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.9,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"November mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"El2021-Megaptera_novaeangliae_12","El2021-Megaptera_novaeangliae_12_cog.tif","Megaptera novaeangliae","visual sightings","Maxent","habitat suitability",FALSE,"SD",0.9,"AUC",-3277659.35003177,4412340.64996823,-3295318.76038965,4504681.23961035,10000,10000,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs",,"December mean and SD habitat suitability. The original data archive on PANGAEA provides additional summaries (min, median, max, etc) as well as daily, weekly, and monthly predictions for 2002-2019","CC-BY 4.0","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2021) Dynamic species distribution models in the marine realm: predicting year-round habitat suitability of baleen whales in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2021.802276","El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel O (2022) Year-round habitat suitability of fin/blue/humpback/minke whales in the Southern Ocean.PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769, 10.1594/PANGAEA.946774"
"Fa2020-Abatus_cavernosus","Fa2020-Abatus_cavernosus_cog.tif","Abatus cavernosus","occurrences","random forest","habitat suitability",FALSE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.667","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Abatus_cordatus","Fa2020-Abatus_cordatus_cog.tif","Abatus cordatus","occurrences","random forest","habitat suitability",FALSE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.74","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Abatus_curvidens","Fa2020-Abatus_curvidens_cog.tif","Abatus curvidens","occurrences","random forest","habitat suitability",FALSE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.494","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Abatus_koehleri","Fa2020-Abatus_koehleri_cog.tif","Abatus koehleri","occurrences","random forest","habitat suitability",FALSE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.645","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Abatus_ingens","Fa2020-Abatus_ingens_cog.tif","Abatus ingens","occurrences","random forest","habitat suitability",FALSE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.625","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Abatus_Pseudabatus_nimrodi","Fa2020-Abatus_Pseudabatus_nimrodi_cog.tif","Abatus (Pseudabatus) nimrodi","occurrences","random forest","habitat suitability",FALSE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.627","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Abatus_philippii","Fa2020-Abatus_philippii_cog.tif","Abatus philippii","occurrences","random forest","habitat suitability",FALSE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.495","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Abatus_shackletoni","Fa2020-Abatus_shackletoni_cog.tif","Abatus shackletoni","occurrences","random forest","habitat suitability",FALSE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.654","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Amphipneustes_lorioli","Fa2020-Amphipneustes_lorioli_cog.tif","Amphipneustes lorioli","occurrences","random forest","habitat suitability",FALSE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.55","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Amphipneustes_rostratus","Fa2020-Amphipneustes_rostratus_cog.tif","Amphipneustes rostratus","occurrences","random forest","habitat suitability",FALSE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.629","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Amphipneustes_similis","Fa2020-Amphipneustes_similis_cog.tif","Amphipneustes similis","occurrences","random forest","habitat suitability",FALSE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.532","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Antrechinus_mortenseni","Fa2020-Antrechinus_mortenseni_cog.tif","Antrechinus mortenseni","occurrences","random forest","habitat suitability",FALSE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.727","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Antrechinus_nordenskjoldi","Fa2020-Antrechinus_nordenskjoldi_cog.tif","Antrechinus nordenskjoldi","occurrences","random forest","habitat suitability",FALSE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.522","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Apatopygus_recens","Fa2020-Apatopygus_recens_cog.tif","Apatopygus recens","occurrences","random forest","habitat suitability",FALSE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.709","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Arbacia_dufresnii","Fa2020-Arbacia_dufresnii_cog.tif","Arbacia dufresnii","occurrences","random forest","habitat suitability",FALSE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.687","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Austrocidaris_canaliculata","Fa2020-Austrocidaris_canaliculata_cog.tif","Austrocidaris canaliculata","occurrences","random forest","habitat suitability",FALSE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.637","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Brachysternaster_chesheri","Fa2020-Brachysternaster_chesheri_cog.tif","Brachysternaster chesheri","occurrences","random forest","habitat suitability",FALSE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.645","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Brisaster_antarcticus","Fa2020-Brisaster_antarcticus_cog.tif","Brisaster antarcticus","occurrences","random forest","habitat suitability",FALSE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.731","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Ctenocidaris_geliberti","Fa2020-Ctenocidaris_geliberti_cog.tif","Ctenocidaris geliberti","occurrences","random forest","habitat suitability",FALSE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.595","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Homalocidaris_gigantea","Fa2020-Homalocidaris_gigantea_cog.tif","Homalocidaris gigantea","occurrences","random forest","habitat suitability",FALSE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.639","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Ctenocidaris_Eurocidaris_nutrix","Fa2020-Ctenocidaris_Eurocidaris_nutrix_cog.tif","Ctenocidaris (Eurocidaris) nutrix","occurrences","random forest","habitat suitability",FALSE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.606","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Ctenocidaris_perrieri","Fa2020-Ctenocidaris_perrieri_cog.tif","Ctenocidaris perrieri","occurrences","random forest","habitat suitability",FALSE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.676","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Ctenocidaris_rugosa","Fa2020-Ctenocidaris_rugosa_cog.tif","Ctenocidaris rugosa","occurrences","random forest","habitat suitability",FALSE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.661","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Ctenocidaris_speciosa","Fa2020-Ctenocidaris_speciosa_cog.tif","Ctenocidaris speciosa","occurrences","random forest","habitat suitability",FALSE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.613","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Ctenocidaris_spinosa","Fa2020-Ctenocidaris_spinosa_cog.tif","Ctenocidaris spinosa","occurrences","random forest","habitat suitability",FALSE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.664","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Dermechinus_horridus","Fa2020-Dermechinus_horridus_cog.tif","Dermechinus horridus","occurrences","random forest","habitat suitability",FALSE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.635","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Goniocidaris_Aspidocidaris_parasol","Fa2020-Goniocidaris_Aspidocidaris_parasol_cog.tif","Goniocidaris (Aspidocidaris) parasol","occurrences","random forest","habitat suitability",FALSE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.731","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Goniocidaris_Goniocidaris_umbraculum","Fa2020-Goniocidaris_Goniocidaris_umbraculum_cog.tif","Goniocidaris (Goniocidaris) umbraculum","occurrences","random forest","habitat suitability",FALSE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.583","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Hygrosoma_luculentum","Fa2020-Hygrosoma_luculentum_cog.tif","Hygrosoma luculentum","occurrences","random forest","habitat suitability",FALSE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.7","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Notocidaris_gaussensis","Fa2020-Notocidaris_gaussensis_cog.tif","Notocidaris gaussensis","occurrences","random forest","habitat suitability",FALSE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.576","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Notocidaris_mortenseni","Fa2020-Notocidaris_mortenseni_cog.tif","Notocidaris mortenseni","occurrences","random forest","habitat suitability",FALSE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.575","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Notocidaris_platyacantha","Fa2020-Notocidaris_platyacantha_cog.tif","Notocidaris platyacantha","occurrences","random forest","habitat suitability",FALSE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.614","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Pseudechinus_huttoni","Fa2020-Pseudechinus_huttoni_cog.tif","Pseudechinus huttoni","occurrences","random forest","habitat suitability",FALSE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.66","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Pseudechinus_magellanicus","Fa2020-Pseudechinus_magellanicus_cog.tif","Pseudechinus magellanicus","occurrences","random forest","habitat suitability",FALSE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.655","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Pseudechinus_marionis","Fa2020-Pseudechinus_marionis_cog.tif","Pseudechinus marionis","occurrences","random forest","habitat suitability",FALSE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.784","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Pseudechinus_novaezealandiae","Fa2020-Pseudechinus_novaezealandiae_cog.tif","Pseudechinus novaezealandiae","occurrences","random forest","habitat suitability",FALSE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.767","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Rhynchocidaris_triplopora","Fa2020-Rhynchocidaris_triplopora_cog.tif","Rhynchocidaris triplopora","occurrences","random forest","habitat suitability",FALSE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.664","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Sterechinus_dentifer","Fa2020-Sterechinus_dentifer_cog.tif","Sterechinus dentifer","occurrences","random forest","habitat suitability",FALSE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.61","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Sterechinus_diadema","Fa2020-Sterechinus_diadema_cog.tif","Sterechinus diadema","occurrences","random forest","habitat suitability",FALSE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.702","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Sterechinus_neumayeri","Fa2020-Sterechinus_neumayeri_cog.tif","Sterechinus neumayeri","occurrences","random forest","habitat suitability",FALSE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.521","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Schizocosmus_abatoides","Fa2020-Schizocosmus_abatoides_cog.tif","Schizocosmus abatoides","occurrences","random forest","habitat suitability",FALSE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.598","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Abatus_cavernosus-RCP45","Fa2020-Abatus_cavernosus-RCP45_cog.tif","Abatus cavernosus","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.667","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Abatus_cordatus-RCP45","Fa2020-Abatus_cordatus-RCP45_cog.tif","Abatus cordatus","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.731","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Abatus_curvidens-RCP45","Fa2020-Abatus_curvidens-RCP45_cog.tif","Abatus curvidens","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.494","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Abatus_koehleri-RCP45","Fa2020-Abatus_koehleri-RCP45_cog.tif","Abatus koehleri","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.645","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Abatus_ingens-RCP45","Fa2020-Abatus_ingens-RCP45_cog.tif","Abatus ingens","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.625","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Abatus_Pseudabatus_nimrodi-RCP45","Fa2020-Abatus_Pseudabatus_nimrodi-RCP45_cog.tif","Abatus (Pseudabatus) nimrodi","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.627","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Abatus_philippii-RCP45","Fa2020-Abatus_philippii-RCP45_cog.tif","Abatus philippii","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.495","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Abatus_shackletoni-RCP45","Fa2020-Abatus_shackletoni-RCP45_cog.tif","Abatus shackletoni","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.654","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Amphipneustes_lorioli-RCP45","Fa2020-Amphipneustes_lorioli-RCP45_cog.tif","Amphipneustes lorioli","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.55","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Amphipneustes_rostratus-RCP45","Fa2020-Amphipneustes_rostratus-RCP45_cog.tif","Amphipneustes rostratus","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.629","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Amphipneustes_similis-RCP45","Fa2020-Amphipneustes_similis-RCP45_cog.tif","Amphipneustes similis","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.532","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Antrechinus_mortenseni-RCP45","Fa2020-Antrechinus_mortenseni-RCP45_cog.tif","Antrechinus mortenseni","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.727","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Antrechinus_nordenskjoldi-RCP45","Fa2020-Antrechinus_nordenskjoldi-RCP45_cog.tif","Antrechinus nordenskjoldi","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.522","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Apatopygus_recens-RCP45","Fa2020-Apatopygus_recens-RCP45_cog.tif","Apatopygus recens","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.71","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Arbacia_dufresnii-RCP45","Fa2020-Arbacia_dufresnii-RCP45_cog.tif","Arbacia dufresnii","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.687","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Austrocidaris_canaliculata-RCP45","Fa2020-Austrocidaris_canaliculata-RCP45_cog.tif","Austrocidaris canaliculata","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.637","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Brachysternaster_chesheri-RCP45","Fa2020-Brachysternaster_chesheri-RCP45_cog.tif","Brachysternaster chesheri","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.645","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Brisaster_antarcticus-RCP45","Fa2020-Brisaster_antarcticus-RCP45_cog.tif","Brisaster antarcticus","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.731","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Ctenocidaris_geliberti-RCP45","Fa2020-Ctenocidaris_geliberti-RCP45_cog.tif","Ctenocidaris geliberti","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.595","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Homalocidaris_gigantea-RCP45","Fa2020-Homalocidaris_gigantea-RCP45_cog.tif","Homalocidaris gigantea","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.639","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Ctenocidaris_Eurocidaris_nutrix-RCP45","Fa2020-Ctenocidaris_Eurocidaris_nutrix-RCP45_cog.tif","Ctenocidaris (Eurocidaris) nutrix","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.606","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Ctenocidaris_perrieri-RCP45","Fa2020-Ctenocidaris_perrieri-RCP45_cog.tif","Ctenocidaris perrieri","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.676","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Ctenocidaris_rugosa-RCP45","Fa2020-Ctenocidaris_rugosa-RCP45_cog.tif","Ctenocidaris rugosa","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.661","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Ctenocidaris_speciosa-RCP45","Fa2020-Ctenocidaris_speciosa-RCP45_cog.tif","Ctenocidaris speciosa","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.613","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Ctenocidaris_spinosa-RCP45","Fa2020-Ctenocidaris_spinosa-RCP45_cog.tif","Ctenocidaris spinosa","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.664","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Dermechinus_horridus-RCP45","Fa2020-Dermechinus_horridus-RCP45_cog.tif","Dermechinus horridus","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.635","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Goniocidaris_Aspidocidaris_parasol-RCP45","Fa2020-Goniocidaris_Aspidocidaris_parasol-RCP45_cog.tif","Goniocidaris (Aspidocidaris) parasol","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.731","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Goniocidaris_Goniocidaris_umbraculum-RCP45","Fa2020-Goniocidaris_Goniocidaris_umbraculum-RCP45_cog.tif","Goniocidaris (Goniocidaris) umbraculum","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.583","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Hygrosoma_luculentum-RCP45","Fa2020-Hygrosoma_luculentum-RCP45_cog.tif","Hygrosoma luculentum","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.7","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Notocidaris_gaussensis-RCP45","Fa2020-Notocidaris_gaussensis-RCP45_cog.tif","Notocidaris gaussensis","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.576","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Notocidaris_mortenseni-RCP45","Fa2020-Notocidaris_mortenseni-RCP45_cog.tif","Notocidaris mortenseni","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.575","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Notocidaris_platyacantha-RCP45","Fa2020-Notocidaris_platyacantha-RCP45_cog.tif","Notocidaris platyacantha","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.614","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Pseudechinus_huttoni-RCP45","Fa2020-Pseudechinus_huttoni-RCP45_cog.tif","Pseudechinus huttoni","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.662","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Pseudechinus_magellanicus-RCP45","Fa2020-Pseudechinus_magellanicus-RCP45_cog.tif","Pseudechinus magellanicus","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.655","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Pseudechinus_marionis-RCP45","Fa2020-Pseudechinus_marionis-RCP45_cog.tif","Pseudechinus marionis","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.785","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Pseudechinus_novaezealandiae-RCP45","Fa2020-Pseudechinus_novaezealandiae-RCP45_cog.tif","Pseudechinus novaezealandiae","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.767","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Rhynchocidaris_triplopora-RCP45","Fa2020-Rhynchocidaris_triplopora-RCP45_cog.tif","Rhynchocidaris triplopora","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.664","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Sterechinus_dentifer-RCP45","Fa2020-Sterechinus_dentifer-RCP45_cog.tif","Sterechinus dentifer","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.61","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Sterechinus_diadema-RCP45","Fa2020-Sterechinus_diadema-RCP45_cog.tif","Sterechinus diadema","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.702","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Sterechinus_neumayeri-RCP45","Fa2020-Sterechinus_neumayeri-RCP45_cog.tif","Sterechinus neumayeri","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.521","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Schizocosmus_abatoides-RCP45","Fa2020-Schizocosmus_abatoides-RCP45_cog.tif","Schizocosmus abatoides","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.598","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Abatus_cavernosus-RCP85","Fa2020-Abatus_cavernosus-RCP85_cog.tif","Abatus cavernosus","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.667","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Abatus_cordatus-RCP85","Fa2020-Abatus_cordatus-RCP85_cog.tif","Abatus cordatus","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.74","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Abatus_curvidens-RCP85","Fa2020-Abatus_curvidens-RCP85_cog.tif","Abatus curvidens","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.494","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Abatus_koehleri-RCP85","Fa2020-Abatus_koehleri-RCP85_cog.tif","Abatus koehleri","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,,"CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Abatus_ingens-RCP85","Fa2020-Abatus_ingens-RCP85_cog.tif","Abatus ingens","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.625","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Abatus_Pseudabatus_nimrodi-RCP85","Fa2020-Abatus_Pseudabatus_nimrodi-RCP85_cog.tif","Abatus (Pseudabatus) nimrodi","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.627","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Abatus_philippii-RCP85","Fa2020-Abatus_philippii-RCP85_cog.tif","Abatus philippii","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.495","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Abatus_shackletoni-RCP85","Fa2020-Abatus_shackletoni-RCP85_cog.tif","Abatus shackletoni","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.654","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Amphipneustes_lorioli-RCP85","Fa2020-Amphipneustes_lorioli-RCP85_cog.tif","Amphipneustes lorioli","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.55","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Amphipneustes_rostratus-RCP85","Fa2020-Amphipneustes_rostratus-RCP85_cog.tif","Amphipneustes rostratus","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.629","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Amphipneustes_similis-RCP85","Fa2020-Amphipneustes_similis-RCP85_cog.tif","Amphipneustes similis","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.532","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Antrechinus_mortenseni-RCP85","Fa2020-Antrechinus_mortenseni-RCP85_cog.tif","Antrechinus mortenseni","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.727","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Antrechinus_nordenskjoldi-RCP85","Fa2020-Antrechinus_nordenskjoldi-RCP85_cog.tif","Antrechinus nordenskjoldi","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.522","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Apatopygus_recens-RCP85","Fa2020-Apatopygus_recens-RCP85_cog.tif","Apatopygus recens","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.71","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Arbacia_dufresnii-RCP85","Fa2020-Arbacia_dufresnii-RCP85_cog.tif","Arbacia dufresnii","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.687","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Austrocidaris_canaliculata-RCP85","Fa2020-Austrocidaris_canaliculata-RCP85_cog.tif","Austrocidaris canaliculata","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.637","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Brachysternaster_chesheri-RCP85","Fa2020-Brachysternaster_chesheri-RCP85_cog.tif","Brachysternaster chesheri","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.645","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Brisaster_antarcticus-RCP85","Fa2020-Brisaster_antarcticus-RCP85_cog.tif","Brisaster antarcticus","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.731","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Ctenocidaris_geliberti-RCP85","Fa2020-Ctenocidaris_geliberti-RCP85_cog.tif","Ctenocidaris geliberti","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.595","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Homalocidaris_gigantea-RCP85","Fa2020-Homalocidaris_gigantea-RCP85_cog.tif","Homalocidaris gigantea","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.639","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Ctenocidaris_Eurocidaris_nutrix-RCP85","Fa2020-Ctenocidaris_Eurocidaris_nutrix-RCP85_cog.tif","Ctenocidaris (Eurocidaris) nutrix","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.606","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Ctenocidaris_perrieri-RCP85","Fa2020-Ctenocidaris_perrieri-RCP85_cog.tif","Ctenocidaris perrieri","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.676","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Ctenocidaris_rugosa-RCP85","Fa2020-Ctenocidaris_rugosa-RCP85_cog.tif","Ctenocidaris rugosa","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.661","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Ctenocidaris_speciosa-RCP85","Fa2020-Ctenocidaris_speciosa-RCP85_cog.tif","Ctenocidaris speciosa","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.613","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Ctenocidaris_spinosa-RCP85","Fa2020-Ctenocidaris_spinosa-RCP85_cog.tif","Ctenocidaris spinosa","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.664","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Dermechinus_horridus-RCP85","Fa2020-Dermechinus_horridus-RCP85_cog.tif","Dermechinus horridus","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.635","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Goniocidaris_Aspidocidaris_parasol-RCP85","Fa2020-Goniocidaris_Aspidocidaris_parasol-RCP85_cog.tif","Goniocidaris (Aspidocidaris) parasol","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.731","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Goniocidaris_Goniocidaris_umbraculum-RCP85","Fa2020-Goniocidaris_Goniocidaris_umbraculum-RCP85_cog.tif","Goniocidaris (Goniocidaris) umbraculum","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.583","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Hygrosoma_luculentum-RCP85","Fa2020-Hygrosoma_luculentum-RCP85_cog.tif","Hygrosoma luculentum","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.7","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Notocidaris_gaussensis-RCP85","Fa2020-Notocidaris_gaussensis-RCP85_cog.tif","Notocidaris gaussensis","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.576","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Notocidaris_mortenseni-RCP85","Fa2020-Notocidaris_mortenseni-RCP85_cog.tif","Notocidaris mortenseni","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.575","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Notocidaris_platyacantha-RCP85","Fa2020-Notocidaris_platyacantha-RCP85_cog.tif","Notocidaris platyacantha","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.613","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Pseudechinus_huttoni-RCP85","Fa2020-Pseudechinus_huttoni-RCP85_cog.tif","Pseudechinus huttoni","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.662","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Pseudechinus_magellanicus-RCP85","Fa2020-Pseudechinus_magellanicus-RCP85_cog.tif","Pseudechinus magellanicus","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.655","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Pseudechinus_marionis-RCP85","Fa2020-Pseudechinus_marionis-RCP85_cog.tif","Pseudechinus marionis","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.78","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Pseudechinus_novaezealandiae-RCP85","Fa2020-Pseudechinus_novaezealandiae-RCP85_cog.tif","Pseudechinus novaezealandiae","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.767","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Rhynchocidaris_triplopora-RCP85","Fa2020-Rhynchocidaris_triplopora-RCP85_cog.tif","Rhynchocidaris triplopora","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.664","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Sterechinus_dentifer-RCP85","Fa2020-Sterechinus_dentifer-RCP85_cog.tif","Sterechinus dentifer","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.61","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Sterechinus_diadema-RCP85","Fa2020-Sterechinus_diadema-RCP85_cog.tif","Sterechinus diadema","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.702","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Sterechinus_neumayeri-RCP85","Fa2020-Sterechinus_neumayeri-RCP85_cog.tif","Sterechinus neumayeri","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.521","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-Schizocosmus_abatoides-RCP85","Fa2020-Schizocosmus_abatoides-RCP85_cog.tif","Schizocosmus abatoides","occurrences","random forest","habitat suitability",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,"The binary map was generated using a threshold of 0.598","CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-bioregions","Fa2020-bioregions_cog.tif","Echinoidea","occurrences","random forest","bioregions",FALSE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,,"CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-bioregions-RCP45","Fa2020-bioregions-RCP45_cog.tif","Echinoidea","occurrences","random forest","bioregions",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,,"CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fa2020-bioregions-RCP85","Fa2020-bioregions-RCP85_cog.tif","Echinoidea","occurrences","random forest","bioregions",TRUE,,,,-180,179.9,-78,-45,0.1,0.1,"degrees","EPSG:4326",,,"CC-BY 4.0","Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffont R, Saucède T (2020) Benthic ecoregionalization based on echinoid fauna of the Southern Ocean supports current proposals of Antarctic Marine Protected Areas under IPCC scenarios of climate change. 10.1111/gcb.14988","See reference"
"Fi2025-Lobodon_carcinophagus-November","Fi2025-Lobodon_carcinophagus-November_cog.tif","Lobodon carcinophagus","occurrences","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.98,"AUC",30,170,-71.5011943661972,-54.9868056338028,0.1,0.0463887323943662,"degrees","EPSG:4326","https://github.com/lidefi87/Crabeater_Distribution_East_Antarctica","The three layers in this raster represent models trained with three different environmental predictor data sets: see the original publication for details. AUC (ROC) values: ACCESS-OM2-01 full set 0.984, ACCESS-OM2-01 reduced set 0.974, remotely-sensed data 0.971","CC BY-SA 4.0","Fierro-Arcos D, Corney C, Meyer A, Hayashida H, Kiss AE, Emmerson L, Southwell C, Heil P (2025) High-resolution ocean sea ice model outputs to predict species distribution: case study of crabeater seal Lobodon carcinophagus in East Antarctica. 10.3354/meps14968","See reference"
"Fi2025-Lobodon_carcinophagus-December","Fi2025-Lobodon_carcinophagus-December_cog.tif","Lobodon carcinophagus","occurrences","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.98,"AUC",30,170,-71.5011943661972,-54.9868056338028,0.1,0.0463887323943662,"degrees","EPSG:4326","https://github.com/lidefi87/Crabeater_Distribution_East_Antarctica","The three layers in this raster represent models trained with three different environmental predictor data sets: see the original publication for details. AUC (ROC) values: ACCESS-OM2-01 full set 0.984, ACCESS-OM2-01 reduced set 0.974, remotely-sensed data 0.971","CC BY-SA 4.0","Fierro-Arcos D, Corney C, Meyer A, Hayashida H, Kiss AE, Emmerson L, Southwell C, Heil P (2025) High-resolution ocean sea ice model outputs to predict species distribution: case study of crabeater seal Lobodon carcinophagus in East Antarctica. 10.3354/meps14968","See reference"
"Fr2019-Electrona_antarctica","Fr2019-Electrona_antarctica_cog.tif","Electrona antarctica","net trawls","Maxent","habitat suitability",FALSE,,0.81,"AUC",-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,,"CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Electrona_carlsbergi","Fr2019-Electrona_carlsbergi_cog.tif","Electrona carlsbergi","net trawls","Maxent","habitat suitability",FALSE,,0.76,"AUC",-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,,"CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Gymnoscopelus_bolini","Fr2019-Gymnoscopelus_bolini_cog.tif","Gymnoscopelus bolini","net trawls","Maxent","habitat suitability",FALSE,,0.83,"AUC",-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,,"CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Gymnoscopelus_braueri","Fr2019-Gymnoscopelus_braueri_cog.tif","Gymnoscopelus braueri","net trawls","Maxent","habitat suitability",FALSE,,0.76,"AUC",-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,,"CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Gymnoscopelus_fraseri","Fr2019-Gymnoscopelus_fraseri_cog.tif","Gymnoscopelus fraseri","net trawls","Maxent","habitat suitability",FALSE,,0.86,"AUC",-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,,"CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Gymnoscopelus_nicholsi","Fr2019-Gymnoscopelus_nicholsi_cog.tif","Gymnoscopelus nicholsi","net trawls","Maxent","habitat suitability",FALSE,,0.86,"AUC",-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,,"CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Gymnoscopelus_opisthopterus","Fr2019-Gymnoscopelus_opisthopterus_cog.tif","Gymnoscopelus opisthopterus","net trawls","Maxent","habitat suitability",FALSE,,0.83,"AUC",-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,,"CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Krefftichthys_anderssoni","Fr2019-Krefftichthys_anderssoni_cog.tif","Krefftichthys anderssoni","net trawls","Maxent","habitat suitability",FALSE,,0.78,"AUC",-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,,"CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Protomyctophum_bolini","Fr2019-Protomyctophum_bolini_cog.tif","Protomyctophum bolini","net trawls","Maxent","habitat suitability",FALSE,,0.81,"AUC",-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,,"CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Protomyctophum_tenisoni","Fr2019-Protomyctophum_tenisoni_cog.tif","Protomyctophum tenisoni","net trawls","Maxent","habitat suitability",FALSE,,0.89,"AUC",-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,,"CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Electrona_antarctica-RCP45-2055","Fr2019-Electrona_antarctica-RCP45-2055_cog.tif","Electrona antarctica","net trawls","Maxent","habitat suitability",TRUE,,,,-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,"Future projections for year 2055 using models CESM1-BGC, GFDL-ESM2G, GFDL-ESM2M, HADGEM2-ES, MPI-ESM-MR","CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Electrona_antarctica-RCP45-2099","Fr2019-Electrona_antarctica-RCP45-2099_cog.tif","Electrona antarctica","net trawls","Maxent","habitat suitability",TRUE,,,,-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,"Future projections for year 2099 using models CESM1-BGC, GFDL-ESM2G, GFDL-ESM2M, HADGEM2-ES, MPI-ESM-MR","CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Electrona_antarctica-RCP85-2055","Fr2019-Electrona_antarctica-RCP85-2055_cog.tif","Electrona antarctica","net trawls","Maxent","habitat suitability",TRUE,,,,-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,"Future projections for year 2055 using models CESM1-BGC, CMCC-CESM1, GFDL-ESM2G, GFDL-ESM2M, HADGEM2-ES, IPSL-CM5A-LR, IPSL-CM5A-MR, MPI-ESM-MR","CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Electrona_antarctica-RCP85-2099","Fr2019-Electrona_antarctica-RCP85-2099_cog.tif","Electrona antarctica","net trawls","Maxent","habitat suitability",TRUE,,,,-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,"Future projections for year 2099 using models CESM1-BGC, CMCC-CESM1, GFDL-ESM2G, GFDL-ESM2M, HADGEM2-ES, IPSL-CM5A-LR, IPSL-CM5A-MR, MPI-ESM-MR","CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Electrona_carlsbergi-RCP45-2055","Fr2019-Electrona_carlsbergi-RCP45-2055_cog.tif","Electrona carlsbergi","net trawls","Maxent","habitat suitability",TRUE,,,,-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,"Future projections for year 2055 using models CESM1-BGC, GFDL-ESM2G, GFDL-ESM2M, HADGEM2-ES, MPI-ESM-MR","CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Electrona_carlsbergi-RCP45-2099","Fr2019-Electrona_carlsbergi-RCP45-2099_cog.tif","Electrona carlsbergi","net trawls","Maxent","habitat suitability",TRUE,,,,-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,"Future projections for year 2099 using models CESM1-BGC, GFDL-ESM2G, GFDL-ESM2M, HADGEM2-ES, MPI-ESM-MR","CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Electrona_carlsbergi-RCP85-2055","Fr2019-Electrona_carlsbergi-RCP85-2055_cog.tif","Electrona carlsbergi","net trawls","Maxent","habitat suitability",TRUE,,,,-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,"Future projections for year 2055 using models CESM1-BGC, CMCC-CESM1, GFDL-ESM2G, GFDL-ESM2M, HADGEM2-ES, IPSL-CM5A-LR, IPSL-CM5A-MR, MPI-ESM-MR","CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Electrona_carlsbergi-RCP85-2099","Fr2019-Electrona_carlsbergi-RCP85-2099_cog.tif","Electrona carlsbergi","net trawls","Maxent","habitat suitability",TRUE,,,,-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,"Future projections for year 2099 using models CESM1-BGC, CMCC-CESM1, GFDL-ESM2G, GFDL-ESM2M, HADGEM2-ES, IPSL-CM5A-LR, IPSL-CM5A-MR, MPI-ESM-MR","CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Gymnoscopelus_bolini-RCP45-2055","Fr2019-Gymnoscopelus_bolini-RCP45-2055_cog.tif","Gymnoscopelus bolini","net trawls","Maxent","habitat suitability",TRUE,,,,-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,"Future projections for year 2055 using models CESM1-BGC, GFDL-ESM2G, GFDL-ESM2M, HADGEM2-ES, MPI-ESM-MR","CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Gymnoscopelus_bolini-RCP45-2099","Fr2019-Gymnoscopelus_bolini-RCP45-2099_cog.tif","Gymnoscopelus bolini","net trawls","Maxent","habitat suitability",TRUE,,,,-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,"Future projections for year 2099 using models CESM1-BGC, GFDL-ESM2G, GFDL-ESM2M, HADGEM2-ES, MPI-ESM-MR","CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Gymnoscopelus_bolini-RCP85-2055","Fr2019-Gymnoscopelus_bolini-RCP85-2055_cog.tif","Gymnoscopelus bolini","net trawls","Maxent","habitat suitability",TRUE,,,,-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,"Future projections for year 2055 using models CESM1-BGC, CMCC-CESM1, GFDL-ESM2G, GFDL-ESM2M, HADGEM2-ES, IPSL-CM5A-LR, IPSL-CM5A-MR, MPI-ESM-MR","CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Gymnoscopelus_bolini-RCP85-2099","Fr2019-Gymnoscopelus_bolini-RCP85-2099_cog.tif","Gymnoscopelus bolini","net trawls","Maxent","habitat suitability",TRUE,,,,-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,"Future projections for year 2099 using models CESM1-BGC, CMCC-CESM1, GFDL-ESM2G, GFDL-ESM2M, HADGEM2-ES, IPSL-CM5A-LR, IPSL-CM5A-MR, MPI-ESM-MR","CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Gymnoscopelus_braueri-RCP45-2055","Fr2019-Gymnoscopelus_braueri-RCP45-2055_cog.tif","Gymnoscopelus braueri","net trawls","Maxent","habitat suitability",TRUE,,,,-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,"Future projections for year 2055 using models CESM1-BGC, GFDL-ESM2G, GFDL-ESM2M, HADGEM2-ES, MPI-ESM-MR","CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Gymnoscopelus_braueri-RCP45-2099","Fr2019-Gymnoscopelus_braueri-RCP45-2099_cog.tif","Gymnoscopelus braueri","net trawls","Maxent","habitat suitability",TRUE,,,,-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,"Future projections for year 2099 using models CESM1-BGC, GFDL-ESM2G, GFDL-ESM2M, HADGEM2-ES, MPI-ESM-MR","CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Gymnoscopelus_braueri-RCP85-2055","Fr2019-Gymnoscopelus_braueri-RCP85-2055_cog.tif","Gymnoscopelus braueri","net trawls","Maxent","habitat suitability",TRUE,,,,-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,"Future projections for year 2055 using models CESM1-BGC, CMCC-CESM1, GFDL-ESM2G, GFDL-ESM2M, HADGEM2-ES, IPSL-CM5A-LR, IPSL-CM5A-MR, MPI-ESM-MR","CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Gymnoscopelus_braueri-RCP85-2099","Fr2019-Gymnoscopelus_braueri-RCP85-2099_cog.tif","Gymnoscopelus braueri","net trawls","Maxent","habitat suitability",TRUE,,,,-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,"Future projections for year 2099 using models CESM1-BGC, CMCC-CESM1, GFDL-ESM2G, GFDL-ESM2M, HADGEM2-ES, IPSL-CM5A-LR, IPSL-CM5A-MR, MPI-ESM-MR","CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Gymnoscopelus_fraseri-RCP45-2055","Fr2019-Gymnoscopelus_fraseri-RCP45-2055_cog.tif","Gymnoscopelus fraseri","net trawls","Maxent","habitat suitability",TRUE,,,,-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,"Future projections for year 2055 using models CESM1-BGC, GFDL-ESM2G, GFDL-ESM2M, HADGEM2-ES, MPI-ESM-MR","CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Gymnoscopelus_fraseri-RCP45-2099","Fr2019-Gymnoscopelus_fraseri-RCP45-2099_cog.tif","Gymnoscopelus fraseri","net trawls","Maxent","habitat suitability",TRUE,,,,-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,"Future projections for year 2099 using models CESM1-BGC, GFDL-ESM2G, GFDL-ESM2M, HADGEM2-ES, MPI-ESM-MR","CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Gymnoscopelus_fraseri-RCP85-2055","Fr2019-Gymnoscopelus_fraseri-RCP85-2055_cog.tif","Gymnoscopelus fraseri","net trawls","Maxent","habitat suitability",TRUE,,,,-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,"Future projections for year 2055 using models CESM1-BGC, CMCC-CESM1, GFDL-ESM2G, GFDL-ESM2M, HADGEM2-ES, IPSL-CM5A-LR, IPSL-CM5A-MR, MPI-ESM-MR","CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Gymnoscopelus_fraseri-RCP85-2099","Fr2019-Gymnoscopelus_fraseri-RCP85-2099_cog.tif","Gymnoscopelus fraseri","net trawls","Maxent","habitat suitability",TRUE,,,,-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,"Future projections for year 2099 using models CESM1-BGC, CMCC-CESM1, GFDL-ESM2G, GFDL-ESM2M, HADGEM2-ES, IPSL-CM5A-LR, IPSL-CM5A-MR, MPI-ESM-MR","CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Gymnoscopelus_nicholsi-RCP45-2055","Fr2019-Gymnoscopelus_nicholsi-RCP45-2055_cog.tif","Gymnoscopelus nicholsi","net trawls","Maxent","habitat suitability",TRUE,,,,-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,"Future projections for year 2055 using models CESM1-BGC, GFDL-ESM2G, GFDL-ESM2M, HADGEM2-ES, MPI-ESM-MR","CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Gymnoscopelus_nicholsi-RCP45-2099","Fr2019-Gymnoscopelus_nicholsi-RCP45-2099_cog.tif","Gymnoscopelus nicholsi","net trawls","Maxent","habitat suitability",TRUE,,,,-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,"Future projections for year 2099 using models CESM1-BGC, GFDL-ESM2G, GFDL-ESM2M, HADGEM2-ES, MPI-ESM-MR","CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Gymnoscopelus_nicholsi-RCP85-2055","Fr2019-Gymnoscopelus_nicholsi-RCP85-2055_cog.tif","Gymnoscopelus nicholsi","net trawls","Maxent","habitat suitability",TRUE,,,,-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,"Future projections for year 2055 using models CESM1-BGC, CMCC-CESM1, GFDL-ESM2G, GFDL-ESM2M, HADGEM2-ES, IPSL-CM5A-LR, IPSL-CM5A-MR, MPI-ESM-MR","CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Gymnoscopelus_nicholsi-RCP85-2099","Fr2019-Gymnoscopelus_nicholsi-RCP85-2099_cog.tif","Gymnoscopelus nicholsi","net trawls","Maxent","habitat suitability",TRUE,,,,-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,"Future projections for year 2099 using models CESM1-BGC, CMCC-CESM1, GFDL-ESM2G, GFDL-ESM2M, HADGEM2-ES, IPSL-CM5A-LR, IPSL-CM5A-MR, MPI-ESM-MR","CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Gymnoscopelus_opisthopterus-RCP45-2055","Fr2019-Gymnoscopelus_opisthopterus-RCP45-2055_cog.tif","Gymnoscopelus opisthopterus","net trawls","Maxent","habitat suitability",TRUE,,,,-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,"Future projections for year 2055 using models CESM1-BGC, GFDL-ESM2G, GFDL-ESM2M, HADGEM2-ES, MPI-ESM-MR","CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Gymnoscopelus_opisthopterus-RCP45-2099","Fr2019-Gymnoscopelus_opisthopterus-RCP45-2099_cog.tif","Gymnoscopelus opisthopterus","net trawls","Maxent","habitat suitability",TRUE,,,,-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,"Future projections for year 2099 using models CESM1-BGC, GFDL-ESM2G, GFDL-ESM2M, HADGEM2-ES, MPI-ESM-MR","CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Gymnoscopelus_opisthopterus-RCP85-2055","Fr2019-Gymnoscopelus_opisthopterus-RCP85-2055_cog.tif","Gymnoscopelus opisthopterus","net trawls","Maxent","habitat suitability",TRUE,,,,-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,"Future projections for year 2055 using models CESM1-BGC, CMCC-CESM1, GFDL-ESM2G, GFDL-ESM2M, HADGEM2-ES, IPSL-CM5A-LR, IPSL-CM5A-MR, MPI-ESM-MR","CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Gymnoscopelus_opisthopterus-RCP85-2099","Fr2019-Gymnoscopelus_opisthopterus-RCP85-2099_cog.tif","Gymnoscopelus opisthopterus","net trawls","Maxent","habitat suitability",TRUE,,,,-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,"Future projections for year 2099 using models CESM1-BGC, CMCC-CESM1, GFDL-ESM2G, GFDL-ESM2M, HADGEM2-ES, IPSL-CM5A-LR, IPSL-CM5A-MR, MPI-ESM-MR","CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Krefftichthys_anderssoni-RCP45-2055","Fr2019-Krefftichthys_anderssoni-RCP45-2055_cog.tif","Krefftichthys anderssoni","net trawls","Maxent","habitat suitability",TRUE,,,,-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,"Future projections for year 2055 using models CESM1-BGC, GFDL-ESM2G, GFDL-ESM2M, HADGEM2-ES, MPI-ESM-MR","CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Krefftichthys_anderssoni-RCP45-2099","Fr2019-Krefftichthys_anderssoni-RCP45-2099_cog.tif","Krefftichthys anderssoni","net trawls","Maxent","habitat suitability",TRUE,,,,-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,"Future projections for year 2099 using models CESM1-BGC, GFDL-ESM2G, GFDL-ESM2M, HADGEM2-ES, MPI-ESM-MR","CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Krefftichthys_anderssoni-RCP85-2055","Fr2019-Krefftichthys_anderssoni-RCP85-2055_cog.tif","Krefftichthys anderssoni","net trawls","Maxent","habitat suitability",TRUE,,,,-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,"Future projections for year 2055 using models CESM1-BGC, CMCC-CESM1, GFDL-ESM2G, GFDL-ESM2M, HADGEM2-ES, IPSL-CM5A-LR, IPSL-CM5A-MR, MPI-ESM-MR","CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Krefftichthys_anderssoni-RCP85-2099","Fr2019-Krefftichthys_anderssoni-RCP85-2099_cog.tif","Krefftichthys anderssoni","net trawls","Maxent","habitat suitability",TRUE,,,,-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,"Future projections for year 2099 using models CESM1-BGC, CMCC-CESM1, GFDL-ESM2G, GFDL-ESM2M, HADGEM2-ES, IPSL-CM5A-LR, IPSL-CM5A-MR, MPI-ESM-MR","CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Protomyctophum_bolini-RCP45-2055","Fr2019-Protomyctophum_bolini-RCP45-2055_cog.tif","Protomyctophum bolini","net trawls","Maxent","habitat suitability",TRUE,,,,-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,"Future projections for year 2055 using models CESM1-BGC, GFDL-ESM2G, GFDL-ESM2M, HADGEM2-ES, MPI-ESM-MR","CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Protomyctophum_bolini-RCP45-2099","Fr2019-Protomyctophum_bolini-RCP45-2099_cog.tif","Protomyctophum bolini","net trawls","Maxent","habitat suitability",TRUE,,,,-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,"Future projections for year 2099 using models CESM1-BGC, GFDL-ESM2G, GFDL-ESM2M, HADGEM2-ES, MPI-ESM-MR","CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Protomyctophum_bolini-RCP85-2055","Fr2019-Protomyctophum_bolini-RCP85-2055_cog.tif","Protomyctophum bolini","net trawls","Maxent","habitat suitability",TRUE,,,,-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,"Future projections for year 2055 using models CESM1-BGC, CMCC-CESM1, GFDL-ESM2G, GFDL-ESM2M, HADGEM2-ES, IPSL-CM5A-LR, IPSL-CM5A-MR, MPI-ESM-MR","CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Protomyctophum_bolini-RCP85-2099","Fr2019-Protomyctophum_bolini-RCP85-2099_cog.tif","Protomyctophum bolini","net trawls","Maxent","habitat suitability",TRUE,,,,-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,"Future projections for year 2099 using models CESM1-BGC, CMCC-CESM1, GFDL-ESM2G, GFDL-ESM2M, HADGEM2-ES, IPSL-CM5A-LR, IPSL-CM5A-MR, MPI-ESM-MR","CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Protomyctophum_tenisoni-RCP45-2055","Fr2019-Protomyctophum_tenisoni-RCP45-2055_cog.tif","Protomyctophum tenisoni","net trawls","Maxent","habitat suitability",TRUE,,,,-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,"Future projections for year 2055 using models CESM1-BGC, GFDL-ESM2G, GFDL-ESM2M, HADGEM2-ES, MPI-ESM-MR","CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Protomyctophum_tenisoni-RCP45-2099","Fr2019-Protomyctophum_tenisoni-RCP45-2099_cog.tif","Protomyctophum tenisoni","net trawls","Maxent","habitat suitability",TRUE,,,,-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,"Future projections for year 2099 using models CESM1-BGC, GFDL-ESM2G, GFDL-ESM2M, HADGEM2-ES, MPI-ESM-MR","CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Protomyctophum_tenisoni-RCP85-2055","Fr2019-Protomyctophum_tenisoni-RCP85-2055_cog.tif","Protomyctophum tenisoni","net trawls","Maxent","habitat suitability",TRUE,,,,-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,"Future projections for year 2055 using models CESM1-BGC, CMCC-CESM1, GFDL-ESM2G, GFDL-ESM2M, HADGEM2-ES, IPSL-CM5A-LR, IPSL-CM5A-MR, MPI-ESM-MR","CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Fr2019-Protomyctophum_tenisoni-RCP85-2099","Fr2019-Protomyctophum_tenisoni-RCP85-2099_cog.tif","Protomyctophum tenisoni","net trawls","Maxent","habitat suitability",TRUE,,,,-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,"Future projections for year 2099 using models CESM1-BGC, CMCC-CESM1, GFDL-ESM2G, GFDL-ESM2M, HADGEM2-ES, IPSL-CM5A-LR, IPSL-CM5A-MR, MPI-ESM-MR","CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
"Gr2025-green_snow_algae","Gr2025-green_snow_algae_cog.tif","green snow algae","WorldView imagery","Bayesian additive regression trees","probability of presence",FALSE,"95% credible interval width",0.96,"AUC",-2807300,-1733300,175200,2378900,100,100,"m","EPSG:3031",,,"Open Government Licence v3","Gray AM, Thomson AI, Colesie C, Convey P, Fretwell P, Smith AG, Peck LS, Davey MP (2025) Modelling snow algal habitat suitability and ecology under extreme weather events on the Antarctic Peninsula. 10.3389/fevo.2025.1474446","See reference"
"Gr2025-green_snow_algae-RCP85","Gr2025-green_snow_algae-RCP85_cog.tif","green snow algae","WorldView imagery","Bayesian additive regression trees","probability of presence",TRUE,"95% credible interval width",0.96,"AUC",-2807300,-1733300,175200,2378900,100,100,"m","EPSG:3031",,,"Open Government Licence v3","Gray AM, Thomson AI, Colesie C, Convey P, Fretwell P, Smith AG, Peck LS, Davey MP (2025) Modelling snow algal habitat suitability and ecology under extreme weather events on the Antarctic Peninsula. 10.3389/fevo.2025.1474446","See reference"
"Gr2025-red_snow_algae","Gr2025-red_snow_algae_cog.tif","red snow algae","WorldView imagery","Bayesian additive regression trees","probability of presence",FALSE,"95% credible interval width",0.98,"AUC",-2807300,-1733300,175200,2378900,100,100,"m","EPSG:3031",,,"Open Government Licence v3","Gray AM, Thomson AI, Colesie C, Convey P, Fretwell P, Smith AG, Peck LS, Davey MP (2025) Modelling snow algal habitat suitability and ecology under extreme weather events on the Antarctic Peninsula. 10.3389/fevo.2025.1474446","See reference"
"Gr2025-red_snow_algae-RCP85","Gr2025-red_snow_algae-RCP85_cog.tif","red snow algae","WorldView imagery","Bayesian additive regression trees","probability of presence",TRUE,"95% credible interval width",0.98,"AUC",-2807300,-1733300,175200,2378900,100,100,"m","EPSG:3031",,,"Open Government Licence v3","Gray AM, Thomson AI, Colesie C, Convey P, Fretwell P, Smith AG, Peck LS, Davey MP (2025) Modelling snow algal habitat suitability and ecology under extreme weather events on the Antarctic Peninsula. 10.3389/fevo.2025.1474446","See reference"
"Gr2021-spawning_habitat_duration","Gr2021-spawning_habitat_duration_cog.tif","Euphausia superba","net trawls","mechanistic spawning habitat model","spawning habitat duration (weeks)",FALSE,,,,-180,180,-80.125,-39.875,0.25,0.25,"degrees","EPSG:4326",,,"CC-BY 4.0","Green DB, Bestley S, Corney SP, Trebilco R, Lehodey P, Hindell MA (2021) Modeling Antarctic krill circumpolar spawning habitat quality to identify regions with potential to support high larval production. Geophysical Research Letters. 10.1029/2020GL091206","Green D, Bestley S, Corney S, Trebilco R, Lehodey P, Hindell M (2020). Circumpolar Antarctic krill spawning habitat [Data set]. Institute for Marine and Antarctic Studies (IMAS), University of Tasmania (UTAS). 10.25959/XXGM-N693"
"Gr2021-spawning_habitat_index","Gr2021-spawning_habitat_index_cog.tif","Euphausia superba","net trawls","mechanistic spawning habitat model","spawning habitat index",FALSE,,0.1,"mean error",-180,180,-80.125,-39.875,0.25,0.25,"degrees","EPSG:4326",,,"CC-BY 4.0","Green DB, Bestley S, Corney SP, Trebilco R, Lehodey P, Hindell MA (2021) Modeling Antarctic krill circumpolar spawning habitat quality to identify regions with potential to support high larval production. Geophysical Research Letters. 10.1029/2020GL091206","Green D, Bestley S, Corney S, Trebilco R, Lehodey P, Hindell M (2020). Circumpolar Antarctic krill spawning habitat [Data set]. Institute for Marine and Antarctic Studies (IMAS), University of Tasmania (UTAS). 10.25959/XXGM-N693"
"Gr2017-species_turnover","Gr2017-species_turnover_cog.tif","benthic taxa","occurrences","numerical model","species turnover",TRUE,,,,-179.5,180.5,-81.5,-39.5,1,1,"degrees","EPSG:4326",,"Predictions in areas with low sampling effort (typically under ice shelves) should be treated with additional caution. Typically these have very low historical number species but this is likely to be exacerbated by lack of sampling effort, more so than in other areas","CC-BY 4.0","Griffiths HJ, Meijers AJS, Bracegirdle TJ (2017) More losers than winners in a century of future Southern Ocean seafloor warming. Nature Climate Change. https://doi.org/10.1038/nclimate3377","See reference"
"Hi2023-Pygoscelis_adeliae","Hi2023-Pygoscelis_adeliae_cog.tif","Pygoscelis adeliae","animal tracking","boosted regression tree","habitat importance",FALSE,"CV",0.894666666666667,"AUC",-180,179.999999999877,-79.9999999999977,-40,0.0999999999999659,0.0999999999999943,"degrees","+proj=longlat +datum=WGS84","https://github.com/SCAR/RAATD/","The original publication reported model performance by taxon and stage, for taxa that had stage-specific models. The model performance reported here for those taxa is the average performance across the stage-specific models","CC-BY 4.0","Hindell MA, Reisinger RR, Ropert-Coudert Y, et al. (2020) Tracking of marine predators to protect Southern Ocean ecosystems. Nature. 10.1038/s41586-020-2126-y","See reference"
"Hi2023-Arctocephalus_gazella","Hi2023-Arctocephalus_gazella_cog.tif","Arctocephalus gazella","animal tracking","boosted regression tree","habitat importance",FALSE,"CV",0.8625,"AUC",-180,179.999999999877,-79.9999999999977,-40,0.0999999999999659,0.0999999999999943,"degrees","+proj=longlat +datum=WGS84","https://github.com/SCAR/RAATD/","The original publication reported model performance by taxon and stage, for taxa that had stage-specific models. The model performance reported here for those taxa is the average performance across the stage-specific models","CC-BY 4.0","Hindell MA, Reisinger RR, Ropert-Coudert Y, et al. (2020) Tracking of marine predators to protect Southern Ocean ecosystems. Nature. 10.1038/s41586-020-2126-y","See reference"
"Hi2023-Thalassoica_antarctica","Hi2023-Thalassoica_antarctica_cog.tif","Thalassoica antarctica","animal tracking","boosted regression tree","habitat importance",FALSE,"CV",0.836,"AUC",-180,179.999999999877,-79.9999999999977,-40,0.0999999999999659,0.0999999999999943,"degrees","+proj=longlat +datum=WGS84","https://github.com/SCAR/RAATD/","The original publication reported model performance by taxon and stage, for taxa that had stage-specific models. The model performance reported here for those taxa is the average performance across the stage-specific models","CC-BY 4.0","Hindell MA, Reisinger RR, Ropert-Coudert Y, et al. (2020) Tracking of marine predators to protect Southern Ocean ecosystems. Nature. 10.1038/s41586-020-2126-y","See reference"
"Hi2023-Thalassarche_melanophris","Hi2023-Thalassarche_melanophris_cog.tif","Thalassarche melanophris","animal tracking","boosted regression tree","habitat importance",FALSE,"CV",0.858666666666667,"AUC",-180,179.999999999877,-79.9999999999977,-40,0.0999999999999659,0.0999999999999943,"degrees","+proj=longlat +datum=WGS84","https://github.com/SCAR/RAATD/","The original publication reported model performance by taxon and stage, for taxa that had stage-specific models. The model performance reported here for those taxa is the average performance across the stage-specific models","CC-BY 4.0","Hindell MA, Reisinger RR, Ropert-Coudert Y, et al. (2020) Tracking of marine predators to protect Southern Ocean ecosystems. Nature. 10.1038/s41586-020-2126-y","See reference"
"Hi2023-Lobodon_carcinophaga","Hi2023-Lobodon_carcinophaga_cog.tif","Lobodon carcinophaga","animal tracking","boosted regression tree","habitat importance",FALSE,"CV",0.896,"AUC",-180,179.999999999877,-79.9999999999977,-40,0.0999999999999659,0.0999999999999943,"degrees","+proj=longlat +datum=WGS84","https://github.com/SCAR/RAATD/","The original publication reported model performance by taxon and stage, for taxa that had stage-specific models. The model performance reported here for those taxa is the average performance across the stage-specific models","CC-BY 4.0","Hindell MA, Reisinger RR, Ropert-Coudert Y, et al. (2020) Tracking of marine predators to protect Southern Ocean ecosystems. Nature. 10.1038/s41586-020-2126-y","See reference"
"Hi2023-Phoebetria_fusca","Hi2023-Phoebetria_fusca_cog.tif","Phoebetria fusca","animal tracking","boosted regression tree","habitat importance",FALSE,"CV",0.837666666666667,"AUC",-180,179.999999999877,-79.9999999999977,-40,0.0999999999999659,0.0999999999999943,"degrees","+proj=longlat +datum=WGS84","https://github.com/SCAR/RAATD/","The original publication reported model performance by taxon and stage, for taxa that had stage-specific models. The model performance reported here for those taxa is the average performance across the stage-specific models","CC-BY 4.0","Hindell MA, Reisinger RR, Ropert-Coudert Y, et al. (2020) Tracking of marine predators to protect Southern Ocean ecosystems. Nature. 10.1038/s41586-020-2126-y","See reference"
"Hi2023-Aptenodytes_forsteri","Hi2023-Aptenodytes_forsteri_cog.tif","Aptenodytes forsteri","animal tracking","boosted regression tree","habitat importance",FALSE,"CV",0.9115,"AUC",-180,179.999999999877,-79.9999999999977,-40,0.0999999999999659,0.0999999999999943,"degrees","+proj=longlat +datum=WGS84","https://github.com/SCAR/RAATD/","The original publication reported model performance by taxon and stage, for taxa that had stage-specific models. The model performance reported here for those taxa is the average performance across the stage-specific models","CC-BY 4.0","Hindell MA, Reisinger RR, Ropert-Coudert Y, et al. (2020) Tracking of marine predators to protect Southern Ocean ecosystems. Nature. 10.1038/s41586-020-2126-y","See reference"
"Hi2023-Thalassarche_chrysostoma","Hi2023-Thalassarche_chrysostoma_cog.tif","Thalassarche chrysostoma","animal tracking","boosted regression tree","habitat importance",FALSE,"CV",0.9055,"AUC",-180,179.999999999877,-79.9999999999977,-40,0.0999999999999659,0.0999999999999943,"degrees","+proj=longlat +datum=WGS84","https://github.com/SCAR/RAATD/","The original publication reported model performance by taxon and stage, for taxa that had stage-specific models. The model performance reported here for those taxa is the average performance across the stage-specific models","CC-BY 4.0","Hindell MA, Reisinger RR, Ropert-Coudert Y, et al. (2020) Tracking of marine predators to protect Southern Ocean ecosystems. Nature. 10.1038/s41586-020-2126-y","See reference"
"Hi2023-Megaptera_novaeangliae","Hi2023-Megaptera_novaeangliae_cog.tif","Megaptera novaeangliae","animal tracking","boosted regression tree","habitat importance",FALSE,"CV",0.953,"AUC",-180,179.999999999877,-79.9999999999977,-40,0.0999999999999659,0.0999999999999943,"degrees","+proj=longlat +datum=WGS84","https://github.com/SCAR/RAATD/","The original publication reported model performance by taxon and stage, for taxa that had stage-specific models. The model performance reported here for those taxa is the average performance across the stage-specific models","CC-BY 4.0","Hindell MA, Reisinger RR, Ropert-Coudert Y, et al. (2020) Tracking of marine predators to protect Southern Ocean ecosystems. Nature. 10.1038/s41586-020-2126-y","See reference"
"Hi2023-Aptenodytes_patagonicus","Hi2023-Aptenodytes_patagonicus_cog.tif","Aptenodytes patagonicus","animal tracking","boosted regression tree","habitat importance",FALSE,"CV",0.9345,"AUC",-180,179.999999999877,-79.9999999999977,-40,0.0999999999999659,0.0999999999999943,"degrees","+proj=longlat +datum=WGS84","https://github.com/SCAR/RAATD/","The original publication reported model performance by taxon and stage, for taxa that had stage-specific models. The model performance reported here for those taxa is the average performance across the stage-specific models","CC-BY 4.0","Hindell MA, Reisinger RR, Ropert-Coudert Y, et al. (2020) Tracking of marine predators to protect Southern Ocean ecosystems. Nature. 10.1038/s41586-020-2126-y","See reference"
"Hi2023-Phoebetria_palpebrata","Hi2023-Phoebetria_palpebrata_cog.tif","Phoebetria palpebrata","animal tracking","boosted regression tree","habitat importance",FALSE,"CV",0.8695,"AUC",-180,179.999999999877,-79.9999999999977,-40,0.0999999999999659,0.0999999999999943,"degrees","+proj=longlat +datum=WGS84","https://github.com/SCAR/RAATD/","The original publication reported model performance by taxon and stage, for taxa that had stage-specific models. The model performance reported here for those taxa is the average performance across the stage-specific models","CC-BY 4.0","Hindell MA, Reisinger RR, Ropert-Coudert Y, et al. (2020) Tracking of marine predators to protect Southern Ocean ecosystems. Nature. 10.1038/s41586-020-2126-y","See reference"
"Hi2023-Eudyptes_chrysolophus.Eudyptes_schlegeli","Hi2023-Eudyptes_chrysolophus.Eudyptes_schlegeli_cog.tif","Eudyptes chrysolophus.Eudyptes schlegeli","animal tracking","boosted regression tree","habitat importance",FALSE,"CV",0.8912,"AUC",-180,179.999999999877,-79.9999999999977,-40,0.0999999999999659,0.0999999999999943,"degrees","+proj=longlat +datum=WGS84","https://github.com/SCAR/RAATD/","The original publication reported model performance by taxon and stage, for taxa that had stage-specific models. The model performance reported here for those taxa is the average performance across the stage-specific models","CC-BY 4.0","Hindell MA, Reisinger RR, Ropert-Coudert Y, et al. (2020) Tracking of marine predators to protect Southern Ocean ecosystems. Nature. 10.1038/s41586-020-2126-y","See reference"
"Hi2023-Mirounga_leonina","Hi2023-Mirounga_leonina_cog.tif","Mirounga leonina","animal tracking","boosted regression tree","habitat importance",FALSE,"CV",0.859,"AUC",-180,179.999999999877,-79.9999999999977,-40,0.0999999999999659,0.0999999999999943,"degrees","+proj=longlat +datum=WGS84","https://github.com/SCAR/RAATD/","The original publication reported model performance by taxon and stage, for taxa that had stage-specific models. The model performance reported here for those taxa is the average performance across the stage-specific models","CC-BY 4.0","Hindell MA, Reisinger RR, Ropert-Coudert Y, et al. (2020) Tracking of marine predators to protect Southern Ocean ecosystems. Nature. 10.1038/s41586-020-2126-y","See reference"
"Hi2023-Diomedea_exulans","Hi2023-Diomedea_exulans_cog.tif","Diomedea exulans","animal tracking","boosted regression tree","habitat importance",FALSE,"CV",0.832666666666667,"AUC",-180,179.999999999877,-79.9999999999977,-40,0.0999999999999659,0.0999999999999943,"degrees","+proj=longlat +datum=WGS84","https://github.com/SCAR/RAATD/","The original publication reported model performance by taxon and stage, for taxa that had stage-specific models. The model performance reported here for those taxa is the average performance across the stage-specific models","CC-BY 4.0","Hindell MA, Reisinger RR, Ropert-Coudert Y, et al. (2020) Tracking of marine predators to protect Southern Ocean ecosystems. Nature. 10.1038/s41586-020-2126-y","See reference"
"Hi2023-Leptonychotes_weddellii","Hi2023-Leptonychotes_weddellii_cog.tif","Leptonychotes weddellii","animal tracking","boosted regression tree","habitat importance",FALSE,"CV",0.818,"AUC",-180,179.999999999877,-79.9999999999977,-40,0.0999999999999659,0.0999999999999943,"degrees","+proj=longlat +datum=WGS84","https://github.com/SCAR/RAATD/","The original publication reported model performance by taxon and stage, for taxa that had stage-specific models. The model performance reported here for those taxa is the average performance across the stage-specific models","CC-BY 4.0","Hindell MA, Reisinger RR, Ropert-Coudert Y, et al. (2020) Tracking of marine predators to protect Southern Ocean ecosystems. Nature. 10.1038/s41586-020-2126-y","See reference"
"Hi2023-Procellaria_aequinoctialis","Hi2023-Procellaria_aequinoctialis_cog.tif","Procellaria aequinoctialis","animal tracking","boosted regression tree","habitat importance",FALSE,"CV",0.81725,"AUC",-180,179.999999999877,-79.9999999999977,-40,0.0999999999999659,0.0999999999999943,"degrees","+proj=longlat +datum=WGS84","https://github.com/SCAR/RAATD/","The original publication reported model performance by taxon and stage, for taxa that had stage-specific models. The model performance reported here for those taxa is the average performance across the stage-specific models","CC-BY 4.0","Hindell MA, Reisinger RR, Ropert-Coudert Y, et al. (2020) Tracking of marine predators to protect Southern Ocean ecosystems. Nature. 10.1038/s41586-020-2126-y","See reference"
"Hi2023-aes_colony_weighted","Hi2023-aes_colony_weighted_cog.tif","marine predators","animal tracking","boosted regression tree","habitat importance",FALSE,"CV",,"AUC",-180,179.999999999877,-79.9999999999977,-40,0.0999999999999659,0.0999999999999943,"degrees","+proj=longlat +datum=WGS84","https://github.com/SCAR/RAATD/","Layer represents areas of ecological significance to multiple predators species, with results weighted by colony sizes. See Hindell et al. (2020) for details","CC-BY 4.0","Hindell MA, Reisinger RR, Ropert-Coudert Y, et al. (2020) Tracking of marine predators to protect Southern Ocean ecosystems. Nature. 10.1038/s41586-020-2126-y","See reference"
"Hi2023-aes_unweighted","Hi2023-aes_unweighted_cog.tif","marine predators","animal tracking","boosted regression tree","habitat importance",FALSE,"CV",,"AUC",-180,179.999999999877,-79.9999999999977,-40,0.0999999999999659,0.0999999999999943,"degrees","+proj=longlat +datum=WGS84","https://github.com/SCAR/RAATD/","Layer represents areas of ecological significance to multiple predators species, with results not weighted by colony sizes. See Hindell et al. (2020) for details","CC-BY 4.0","Hindell MA, Reisinger RR, Ropert-Coudert Y, et al. (2020) Tracking of marine predators to protect Southern Ocean ecosystems. Nature. 10.1038/s41586-020-2126-y","See reference"
"Hi2023-aes_colony_weighted-RCP45","Hi2023-aes_colony_weighted-RCP45_cog.tif","marine predators","animal tracking","boosted regression tree","habitat importance",FALSE,,,,-180,180,-78.8,-40,0.1,0.1,"degrees","+proj=longlat +datum=WGS84","https://github.com/SCAR/RAATD/","Values indicate the proportion of projections (across 8 climate models) for which a pixel contains habitat that is like current-climate areas of colony-size-weighted ecological significance. See Hindell et al. (2020) for details","CC-BY 4.0","Hindell MA, Reisinger RR, Ropert-Coudert Y, et al. (2020) Tracking of marine predators to protect Southern Ocean ecosystems. Nature. 10.1038/s41586-020-2126-y","See reference"
"Hi2023-aes_colony_weighted-RCP85","Hi2023-aes_colony_weighted-RCP85_cog.tif","marine predators","animal tracking","boosted regression tree","habitat importance",FALSE,,,,-180,180,-78.8,-40,0.1,0.1,"degrees","+proj=longlat +datum=WGS84","https://github.com/SCAR/RAATD/","Values indicate the proportion of projections (across 8 climate models) for which a pixel contains habitat that is like current-climate areas of colony-size-weighted ecological significance. See Hindell et al. (2020) for details","CC-BY 4.0","Hindell MA, Reisinger RR, Ropert-Coudert Y, et al. (2020) Tracking of marine predators to protect Southern Ocean ecosystems. Nature. 10.1038/s41586-020-2126-y","See reference"
"Kr2017-Thalassarche_melanophris-RCP26-2050","Kr2017-Thalassarche_melanophris-RCP26-2050_cog.tif","Thalassarche melanophris","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.958,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Thalassarche_melanophris","Kr2017-Thalassarche_melanophris_cog.tif","Thalassarche melanophris","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.958,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Thalassarche_melanophris-RCP26-2100","Kr2017-Thalassarche_melanophris-RCP26-2100_cog.tif","Thalassarche melanophris","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.958,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Thalassarche_melanophris","Kr2017-Thalassarche_melanophris_cog.tif","Thalassarche melanophris","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.958,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Thalassarche_melanophris-RCP45-2050","Kr2017-Thalassarche_melanophris-RCP45-2050_cog.tif","Thalassarche melanophris","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.958,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Thalassarche_melanophris","Kr2017-Thalassarche_melanophris_cog.tif","Thalassarche melanophris","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.958,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Thalassarche_melanophris-RCP45-2100","Kr2017-Thalassarche_melanophris-RCP45-2100_cog.tif","Thalassarche melanophris","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.958,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Thalassarche_melanophris","Kr2017-Thalassarche_melanophris_cog.tif","Thalassarche melanophris","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.958,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Thalassarche_melanophris-RCP60-2050","Kr2017-Thalassarche_melanophris-RCP60-2050_cog.tif","Thalassarche melanophris","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.958,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Thalassarche_melanophris","Kr2017-Thalassarche_melanophris_cog.tif","Thalassarche melanophris","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.958,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Thalassarche_melanophris-RCP60-2100","Kr2017-Thalassarche_melanophris-RCP60-2100_cog.tif","Thalassarche melanophris","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.958,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Thalassarche_melanophris","Kr2017-Thalassarche_melanophris_cog.tif","Thalassarche melanophris","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.958,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Thalassarche_melanophris-RCP85-2050","Kr2017-Thalassarche_melanophris-RCP85-2050_cog.tif","Thalassarche melanophris","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.958,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Thalassarche_melanophris","Kr2017-Thalassarche_melanophris_cog.tif","Thalassarche melanophris","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.958,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Thalassarche_melanophris-RCP85-2100","Kr2017-Thalassarche_melanophris-RCP85-2100_cog.tif","Thalassarche melanophris","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.958,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Thalassarche_melanophris","Kr2017-Thalassarche_melanophris_cog.tif","Thalassarche melanophris","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.958,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Thalassarche_chrysostoma-RCP26-2050","Kr2017-Thalassarche_chrysostoma-RCP26-2050_cog.tif","Thalassarche chrysostoma","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.981,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Thalassarche_chrysostoma","Kr2017-Thalassarche_chrysostoma_cog.tif","Thalassarche chrysostoma","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.981,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Thalassarche_chrysostoma-RCP26-2100","Kr2017-Thalassarche_chrysostoma-RCP26-2100_cog.tif","Thalassarche chrysostoma","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.981,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Thalassarche_chrysostoma","Kr2017-Thalassarche_chrysostoma_cog.tif","Thalassarche chrysostoma","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.981,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Thalassarche_chrysostoma-RCP45-2050","Kr2017-Thalassarche_chrysostoma-RCP45-2050_cog.tif","Thalassarche chrysostoma","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.981,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Thalassarche_chrysostoma","Kr2017-Thalassarche_chrysostoma_cog.tif","Thalassarche chrysostoma","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.981,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Thalassarche_chrysostoma-RCP45-2100","Kr2017-Thalassarche_chrysostoma-RCP45-2100_cog.tif","Thalassarche chrysostoma","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.981,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Thalassarche_chrysostoma","Kr2017-Thalassarche_chrysostoma_cog.tif","Thalassarche chrysostoma","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.981,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Thalassarche_chrysostoma-RCP60-2050","Kr2017-Thalassarche_chrysostoma-RCP60-2050_cog.tif","Thalassarche chrysostoma","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.981,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Thalassarche_chrysostoma","Kr2017-Thalassarche_chrysostoma_cog.tif","Thalassarche chrysostoma","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.981,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Thalassarche_chrysostoma-RCP60-2100","Kr2017-Thalassarche_chrysostoma-RCP60-2100_cog.tif","Thalassarche chrysostoma","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.981,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Thalassarche_chrysostoma","Kr2017-Thalassarche_chrysostoma_cog.tif","Thalassarche chrysostoma","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.981,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Thalassarche_chrysostoma-RCP85-2050","Kr2017-Thalassarche_chrysostoma-RCP85-2050_cog.tif","Thalassarche chrysostoma","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.981,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Thalassarche_chrysostoma","Kr2017-Thalassarche_chrysostoma_cog.tif","Thalassarche chrysostoma","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.981,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Thalassarche_chrysostoma-RCP85-2100","Kr2017-Thalassarche_chrysostoma-RCP85-2100_cog.tif","Thalassarche chrysostoma","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.981,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Thalassarche_chrysostoma","Kr2017-Thalassarche_chrysostoma_cog.tif","Thalassarche chrysostoma","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.981,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Macronectes_halli-RCP26-2050","Kr2017-Macronectes_halli-RCP26-2050_cog.tif","Macronectes halli","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.984,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Macronectes_halli","Kr2017-Macronectes_halli_cog.tif","Macronectes halli","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.984,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Macronectes_halli-RCP26-2100","Kr2017-Macronectes_halli-RCP26-2100_cog.tif","Macronectes halli","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.984,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Macronectes_halli","Kr2017-Macronectes_halli_cog.tif","Macronectes halli","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.984,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Macronectes_halli-RCP45-2050","Kr2017-Macronectes_halli-RCP45-2050_cog.tif","Macronectes halli","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.984,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Macronectes_halli","Kr2017-Macronectes_halli_cog.tif","Macronectes halli","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.984,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Macronectes_halli-RCP45-2100","Kr2017-Macronectes_halli-RCP45-2100_cog.tif","Macronectes halli","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.984,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Macronectes_halli","Kr2017-Macronectes_halli_cog.tif","Macronectes halli","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.984,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Macronectes_halli-RCP60-2050","Kr2017-Macronectes_halli-RCP60-2050_cog.tif","Macronectes halli","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.984,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Macronectes_halli","Kr2017-Macronectes_halli_cog.tif","Macronectes halli","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.984,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Macronectes_halli-RCP60-2100","Kr2017-Macronectes_halli-RCP60-2100_cog.tif","Macronectes halli","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.984,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Macronectes_halli","Kr2017-Macronectes_halli_cog.tif","Macronectes halli","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.984,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Macronectes_halli-RCP85-2050","Kr2017-Macronectes_halli-RCP85-2050_cog.tif","Macronectes halli","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.984,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Macronectes_halli","Kr2017-Macronectes_halli_cog.tif","Macronectes halli","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.984,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Macronectes_halli-RCP85-2100","Kr2017-Macronectes_halli-RCP85-2100_cog.tif","Macronectes halli","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.984,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Macronectes_halli","Kr2017-Macronectes_halli_cog.tif","Macronectes halli","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.984,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Macronectes_giganteus-RCP26-2050","Kr2017-Macronectes_giganteus-RCP26-2050_cog.tif","Macronectes giganteus","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.984,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Macronectes_giganteus","Kr2017-Macronectes_giganteus_cog.tif","Macronectes giganteus","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.984,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Macronectes_giganteus-RCP26-2100","Kr2017-Macronectes_giganteus-RCP26-2100_cog.tif","Macronectes giganteus","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.984,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Macronectes_giganteus","Kr2017-Macronectes_giganteus_cog.tif","Macronectes giganteus","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.984,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Macronectes_giganteus-RCP45-2050","Kr2017-Macronectes_giganteus-RCP45-2050_cog.tif","Macronectes giganteus","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.984,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Macronectes_giganteus","Kr2017-Macronectes_giganteus_cog.tif","Macronectes giganteus","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.984,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Macronectes_giganteus-RCP45-2100","Kr2017-Macronectes_giganteus-RCP45-2100_cog.tif","Macronectes giganteus","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.984,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Macronectes_giganteus","Kr2017-Macronectes_giganteus_cog.tif","Macronectes giganteus","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.984,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Macronectes_giganteus-RCP60-2050","Kr2017-Macronectes_giganteus-RCP60-2050_cog.tif","Macronectes giganteus","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.984,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Macronectes_giganteus","Kr2017-Macronectes_giganteus_cog.tif","Macronectes giganteus","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.984,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Macronectes_giganteus-RCP60-2100","Kr2017-Macronectes_giganteus-RCP60-2100_cog.tif","Macronectes giganteus","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.984,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Macronectes_giganteus","Kr2017-Macronectes_giganteus_cog.tif","Macronectes giganteus","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.984,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Macronectes_giganteus-RCP85-2050","Kr2017-Macronectes_giganteus-RCP85-2050_cog.tif","Macronectes giganteus","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.984,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Macronectes_giganteus","Kr2017-Macronectes_giganteus_cog.tif","Macronectes giganteus","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.984,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Macronectes_giganteus-RCP85-2100","Kr2017-Macronectes_giganteus-RCP85-2100_cog.tif","Macronectes giganteus","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.984,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Macronectes_giganteus","Kr2017-Macronectes_giganteus_cog.tif","Macronectes giganteus","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.984,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Diomedea_dabbenena-RCP26-2050","Kr2017-Diomedea_dabbenena-RCP26-2050_cog.tif","Diomedea dabbenena","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.979,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Diomedea_dabbenena","Kr2017-Diomedea_dabbenena_cog.tif","Diomedea dabbenena","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.979,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Diomedea_dabbenena-RCP26-2100","Kr2017-Diomedea_dabbenena-RCP26-2100_cog.tif","Diomedea dabbenena","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.979,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Diomedea_dabbenena","Kr2017-Diomedea_dabbenena_cog.tif","Diomedea dabbenena","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.979,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Diomedea_dabbenena-RCP45-2050","Kr2017-Diomedea_dabbenena-RCP45-2050_cog.tif","Diomedea dabbenena","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.979,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Diomedea_dabbenena","Kr2017-Diomedea_dabbenena_cog.tif","Diomedea dabbenena","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.979,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Diomedea_dabbenena-RCP45-2100","Kr2017-Diomedea_dabbenena-RCP45-2100_cog.tif","Diomedea dabbenena","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.979,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Diomedea_dabbenena","Kr2017-Diomedea_dabbenena_cog.tif","Diomedea dabbenena","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.979,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Diomedea_dabbenena-RCP60-2050","Kr2017-Diomedea_dabbenena-RCP60-2050_cog.tif","Diomedea dabbenena","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.979,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Diomedea_dabbenena","Kr2017-Diomedea_dabbenena_cog.tif","Diomedea dabbenena","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.979,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Diomedea_dabbenena-RCP60-2100","Kr2017-Diomedea_dabbenena-RCP60-2100_cog.tif","Diomedea dabbenena","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.979,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Diomedea_dabbenena","Kr2017-Diomedea_dabbenena_cog.tif","Diomedea dabbenena","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.979,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Diomedea_dabbenena-RCP85-2050","Kr2017-Diomedea_dabbenena-RCP85-2050_cog.tif","Diomedea dabbenena","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.979,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Diomedea_dabbenena","Kr2017-Diomedea_dabbenena_cog.tif","Diomedea dabbenena","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.979,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Diomedea_dabbenena-RCP85-2100","Kr2017-Diomedea_dabbenena-RCP85-2100_cog.tif","Diomedea dabbenena","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.979,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Diomedea_dabbenena","Kr2017-Diomedea_dabbenena_cog.tif","Diomedea dabbenena","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.979,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Diomedea_exulans-RCP26-2050","Kr2017-Diomedea_exulans-RCP26-2050_cog.tif","Diomedea exulans","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.983,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Diomedea_exulans","Kr2017-Diomedea_exulans_cog.tif","Diomedea exulans","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.983,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Diomedea_exulans-RCP26-2100","Kr2017-Diomedea_exulans-RCP26-2100_cog.tif","Diomedea exulans","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.983,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Diomedea_exulans","Kr2017-Diomedea_exulans_cog.tif","Diomedea exulans","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.983,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Diomedea_exulans-RCP45-2050","Kr2017-Diomedea_exulans-RCP45-2050_cog.tif","Diomedea exulans","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.983,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Diomedea_exulans","Kr2017-Diomedea_exulans_cog.tif","Diomedea exulans","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.983,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Diomedea_exulans-RCP45-2100","Kr2017-Diomedea_exulans-RCP45-2100_cog.tif","Diomedea exulans","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.983,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Diomedea_exulans","Kr2017-Diomedea_exulans_cog.tif","Diomedea exulans","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.983,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Diomedea_exulans-RCP60-2050","Kr2017-Diomedea_exulans-RCP60-2050_cog.tif","Diomedea exulans","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.983,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Diomedea_exulans","Kr2017-Diomedea_exulans_cog.tif","Diomedea exulans","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.983,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Diomedea_exulans-RCP60-2100","Kr2017-Diomedea_exulans-RCP60-2100_cog.tif","Diomedea exulans","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.983,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Diomedea_exulans","Kr2017-Diomedea_exulans_cog.tif","Diomedea exulans","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.983,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Diomedea_exulans-RCP85-2050","Kr2017-Diomedea_exulans-RCP85-2050_cog.tif","Diomedea exulans","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.983,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Diomedea_exulans","Kr2017-Diomedea_exulans_cog.tif","Diomedea exulans","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.983,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Diomedea_exulans-RCP85-2100","Kr2017-Diomedea_exulans-RCP85-2100_cog.tif","Diomedea exulans","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.983,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Diomedea_exulans","Kr2017-Diomedea_exulans_cog.tif","Diomedea exulans","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.983,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Procellaria_aequinoctialis-RCP26-2050","Kr2017-Procellaria_aequinoctialis-RCP26-2050_cog.tif","Procellaria aequinoctialis","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.987,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Procellaria_aequinoctialis","Kr2017-Procellaria_aequinoctialis_cog.tif","Procellaria aequinoctialis","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.987,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Procellaria_aequinoctialis-RCP26-2100","Kr2017-Procellaria_aequinoctialis-RCP26-2100_cog.tif","Procellaria aequinoctialis","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.987,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Procellaria_aequinoctialis","Kr2017-Procellaria_aequinoctialis_cog.tif","Procellaria aequinoctialis","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.987,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Procellaria_aequinoctialis-RCP45-2050","Kr2017-Procellaria_aequinoctialis-RCP45-2050_cog.tif","Procellaria aequinoctialis","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.987,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Procellaria_aequinoctialis","Kr2017-Procellaria_aequinoctialis_cog.tif","Procellaria aequinoctialis","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.987,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Procellaria_aequinoctialis-RCP45-2100","Kr2017-Procellaria_aequinoctialis-RCP45-2100_cog.tif","Procellaria aequinoctialis","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.987,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Procellaria_aequinoctialis","Kr2017-Procellaria_aequinoctialis_cog.tif","Procellaria aequinoctialis","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.987,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Procellaria_aequinoctialis-RCP60-2050","Kr2017-Procellaria_aequinoctialis-RCP60-2050_cog.tif","Procellaria aequinoctialis","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.987,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Procellaria_aequinoctialis","Kr2017-Procellaria_aequinoctialis_cog.tif","Procellaria aequinoctialis","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.987,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Procellaria_aequinoctialis-RCP60-2100","Kr2017-Procellaria_aequinoctialis-RCP60-2100_cog.tif","Procellaria aequinoctialis","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.987,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Procellaria_aequinoctialis","Kr2017-Procellaria_aequinoctialis_cog.tif","Procellaria aequinoctialis","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.987,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Procellaria_aequinoctialis-RCP85-2050","Kr2017-Procellaria_aequinoctialis-RCP85-2050_cog.tif","Procellaria aequinoctialis","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.987,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Procellaria_aequinoctialis","Kr2017-Procellaria_aequinoctialis_cog.tif","Procellaria aequinoctialis","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.987,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Procellaria_aequinoctialis-RCP85-2100","Kr2017-Procellaria_aequinoctialis-RCP85-2100_cog.tif","Procellaria aequinoctialis","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",TRUE,,0.987,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Kr2017-Procellaria_aequinoctialis","Kr2017-Procellaria_aequinoctialis_cog.tif","Procellaria aequinoctialis","animal tracking","ensemble (multiple presence-only modelling methods)","habitat suitability",FALSE,,0.987,"AUC",-179.5,179.5,-81.5,-0.5,1,1,"degrees","EPSG:4326",,,"CC0 1.0","Krüger L, Ramos JA, Xavier JC, Grémillet D, González-Solís J, Petry MV, Phillips RA, Wanless RM, Paiva VH (2017) Projected distributions of Southern Ocean albatrosses, petrels and fisheries as a consequence of climatic change. Ecography. 10.1111/ecog.02590","See reference"
"Le2017-ice_free_rcp45","Le2017-ice_free_rcp45_cog.tif",,"","numerical model","ice free habitat",TRUE,,,,-3333500,3333500,-3333500,3333500,1000,1000,"m","EPSG:3031",,"'mean', 'lower', and 'upper' estimates are based on average, lower, and upper values of snow and ice melt rates: see original publication for details","CC-BY 4.0","Lee JR, Raymond B, Bracegirdle TJ, Chadès I, Fuller RA, Shaw JD, Terauds A (2017) Climate change drives expansion of Antarctic ice-free habitat. Nature. 10.1038/nature22996","See reference"
"Le2017-ice_free_rcp85","Le2017-ice_free_rcp85_cog.tif",,"","numerical model","ice free habitat",TRUE,,,,-3333500,3333500,-3333500,3333500,1000,1000,"m","EPSG:3031",,"'mean', 'lower', and 'upper' estimates are based on average, lower, and upper values of snow and ice melt rates: see original publication for details","CC-BY 4.0","Lee JR, Raymond B, Bracegirdle TJ, Chadès I, Fuller RA, Shaw JD, Terauds A (2017) Climate change drives expansion of Antarctic ice-free habitat. Nature. 10.1038/nature22996","See reference"
"Le2020-wilderness_inviolate","Le2020-wilderness_inviolate_cog.tif",,"human activity records","numerical model","inviolate wilderness",FALSE,,,,-2661818.25,2838181.75,-2576520,2323480,50000,50000,"m","EPSG:3031",,"See original publication for the definition of 'inviolate' areas","CC-BY 4.0","Leihy RI, Coetzee BWT, Morgan F, Raymond B, Shaw JD, Terauds A, Bastmeijer K, Chown SL (2020) Antarctica's wilderness fails to capture continent's biodiversity. Nature. 10.1038/s41586-020-2506-3","See reference"
"Le2020-wilderness_negligibly_impacted","Le2020-wilderness_negligibly_impacted_cog.tif",,"human activity records","numerical model","negligibly impacted wilderness",FALSE,,,,-2661818.25,2838181.75,-2576520,2323480,50000,50000,"m","EPSG:3031",,"See original publication for the definition of 'negligibly impacted' areas","CC-BY 4.0","Leihy RI, Coetzee BWT, Morgan F, Raymond B, Shaw JD, Terauds A, Bastmeijer K, Chown SL (2020) Antarctica's wilderness fails to capture continent's biodiversity. Nature. 10.1038/s41586-020-2506-3","See reference"
"Me2023-Euphausia_superba","Me2023-Euphausia_superba_cog.tif","Euphausia superba","net trawls","boosted regression tree","probability of presence",FALSE,"CV",0.85,"AUC",-5397.6983,5402.3017,-5402.3017,5397.6983,10,10,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=km +no_defs","https://github.com/benjamin-merkel/Circumpolar-krill",,"CC-BY 4.0","Merkel B, Trathan P, Thorpe S, Murphy EJ, Pehlke H, Teschke K, Griffith GP (2023) Quantifying circumpolar summer habitat for Antarctic krill and ice krill, two key species of the Antarctic marine ecosystem. ICES Journal of Marine Science 80:1773-1786. 10.1093/icesjms/fsad110","Merkel, B. (2023). Modelled data for ""Merkel et al. 2023. Quantifying circumpolar summer habitat for Antarctic krill and Ice krill, two key species of the Antarctic marine ecosystem. ICES Journal of Marine Science"" [Data set]. Norwegian Polar Institute. 10.21334/npolar.2023.ad430ca5"
"Me2023-Euphausia_crystallorophias","Me2023-Euphausia_crystallorophias_cog.tif","Euphausia crystallorophias","net trawls","boosted regression tree","probability of presence",FALSE,"CV",0.99,"AUC",-5397.6983,5402.3017,-5402.3017,5397.6983,10,10,"m","+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=km +no_defs","https://github.com/benjamin-merkel/Circumpolar-krill",,"CC-BY 4.0","Merkel B, Trathan P, Thorpe S, Murphy EJ, Pehlke H, Teschke K, Griffith GP (2023) Quantifying circumpolar summer habitat for Antarctic krill and ice krill, two key species of the Antarctic marine ecosystem. ICES Journal of Marine Science 80:1773-1786. 10.1093/icesjms/fsad110","Merkel, B. (2023). Modelled data for ""Merkel et al. 2023. Quantifying circumpolar summer habitat for Antarctic krill and Ice krill, two key species of the Antarctic marine ecosystem. ICES Journal of Marine Science"" [Data set]. Norwegian Polar Institute. 10.21334/npolar.2023.ad430ca5"
"Pi2021-spring","Pi2021-spring_cog.tif","sea ice algae","satellite remote-sensed products","numerical model","sea ice primary productivity",FALSE,,,,-5791500,5791500,-5791500,5791500,9000,9000,"m","EPSG:3031",,"Units are mgC/m^2/day","CC-BY 4.0","Pinkerton MH, Hayward A (2021) Estimating variability and long-term change in sea ice primary productivity using a satellite-based light penetration index. Journal of Marine Systems. 10.1016/j.jmarsys.2021.103576","See reference"
"Pi2021-summer","Pi2021-summer_cog.tif","sea ice algae","satellite remote-sensed products","numerical model","sea ice primary productivity",FALSE,,,,-5791500,5791500,-5791500,5791500,9000,9000,"m","EPSG:3031",,"Units are mgC/m^2/day","CC-BY 4.0","Pinkerton MH, Hayward A (2021) Estimating variability and long-term change in sea ice primary productivity using a satellite-based light penetration index. Journal of Marine Systems. 10.1016/j.jmarsys.2021.103576","See reference"
"Pi2021-autumn","Pi2021-autumn_cog.tif","sea ice algae","satellite remote-sensed products","numerical model","sea ice primary productivity",FALSE,,,,-5791500,5791500,-5791500,5791500,9000,9000,"m","EPSG:3031",,"Units are mgC/m^2/day","CC-BY 4.0","Pinkerton MH, Hayward A (2021) Estimating variability and long-term change in sea ice primary productivity using a satellite-based light penetration index. Journal of Marine Systems. 10.1016/j.jmarsys.2021.103576","See reference"
"Pi2021-winter","Pi2021-winter_cog.tif","sea ice algae","satellite remote-sensed products","numerical model","sea ice primary productivity",FALSE,,,,-5791500,5791500,-5791500,5791500,9000,9000,"m","EPSG:3031",,"Units are mgC/m^2/day","CC-BY 4.0","Pinkerton MH, Hayward A (2021) Estimating variability and long-term change in sea ice primary productivity using a satellite-based light penetration index. Journal of Marine Systems. 10.1016/j.jmarsys.2021.103576","See reference"
"Pi2021-annual","Pi2021-annual_cog.tif","sea ice algae","satellite remote-sensed products","numerical model","sea ice primary productivity",FALSE,,,,-5791500,5791500,-5791500,5791500,9000,9000,"m","EPSG:3031",,"Units are mgC/m^2/day","CC-BY 4.0","Pinkerton MH, Hayward A (2021) Estimating variability and long-term change in sea ice primary productivity using a satellite-based light penetration index. Journal of Marine Systems. 10.1016/j.jmarsys.2021.103576","See reference"
"Ra2014-pelagic_regionalisation","Ra2014-pelagic_regionalisation_cog.tif",,"physical environmental data","clustering","bioregions",FALSE,,,,-180.05,180.05,-80.05,-39.95,0.1,0.1,"degrees","EPSG:4326",,"The colour map used in publications is (for clusters 1-20) #BF9830 #A64A00 #E64400 #EC6059 #A60400 #FF010A #FFC790 #9ECAE1 #6BAED6 #2171B5 #08306B #EEC6EF #B40097 #750062 #C0F400 #9AB72E #00C90D #008209 #FFBA00 #FFFD00","CC-BY 4.0","Raymond B (2014) Pelagic Regionalisation. In: de Broyer C, Koubbi P, Griffiths H, Raymond B et al. (eds) The Biogeographic Atlas of the Southern Ocean. Scientific Committee on Antarctic Research, Cambridge UK, pp. 418--421","See reference"
"Re2021-M1","Rei2021-M1_cog.tif","Megaptera novaeangliae","animal tracking","random forest","habitat suitability",FALSE,,0.772,"AUC",-180,179.999999999877,-79.9999999999977,-40,0.0999999999999658,0.0999999999999942,"degrees","EPSG:4326","https://github.com/ryanreisinger/megaPrediction","Habitat suitability according to model M1 in Reisinger et al. (2021). Performance is AUC using external validation data (catches/sightings), see Table 2 in Reisinger et al. (2021)","CC-BY 4.0","Reisinger RR, Friedlaender AS, Zerbini AN, Palacios DM, Andrews-Goff V, Dalla Rosa L, Double M, Findlay K, Garrigue C, How J, Jenner C, Jenner M-N, Mate B, Rosenbaum HC, Seakamela SM, Constantine R (2021) Combining regional habitat selection models for large-scale prediction: Circumpolar habitat selection of Southern Ocean humpback whales. Remote Sensing. 10.3390/rs13112074","See reference"
"Re2021-M2","Rei2021-M2_cog.tif","Megaptera novaeangliae","animal tracking","random forest","habitat suitability",FALSE,,0.805,"AUC",-180,179.999999999877,-79.9999999999977,-40,0.0999999999999658,0.0999999999999942,"degrees","EPSG:4326","https://github.com/ryanreisinger/megaPrediction","Habitat suitability according to model M2 in Reisinger et al. (2021). Performance is AUC using external validation data (catches/sightings), see Table 2 in Reisinger et al. (2021)","CC-BY 4.0","Reisinger RR, Friedlaender AS, Zerbini AN, Palacios DM, Andrews-Goff V, Dalla Rosa L, Double M, Findlay K, Garrigue C, How J, Jenner C, Jenner M-N, Mate B, Rosenbaum HC, Seakamela SM, Constantine R (2021) Combining regional habitat selection models for large-scale prediction: Circumpolar habitat selection of Southern Ocean humpback whales. Remote Sensing. 10.3390/rs13112074","See reference"
"Re2021-M3","Rei2021-M3_cog.tif","Megaptera novaeangliae","animal tracking","random forest","habitat suitability",FALSE,,0.764,"AUC",-180,179.999999999877,-79.9999999999977,-40,0.0999999999999658,0.0999999999999942,"degrees","EPSG:4326","https://github.com/ryanreisinger/megaPrediction","Habitat suitability according to model M3 in Reisinger et al. (2021). Performance is AUC using external validation data (catches/sightings), see Table 2 in Reisinger et al. (2021)","CC-BY 4.0","Reisinger RR, Friedlaender AS, Zerbini AN, Palacios DM, Andrews-Goff V, Dalla Rosa L, Double M, Findlay K, Garrigue C, How J, Jenner C, Jenner M-N, Mate B, Rosenbaum HC, Seakamela SM, Constantine R (2021) Combining regional habitat selection models for large-scale prediction: Circumpolar habitat selection of Southern Ocean humpback whales. Remote Sensing. 10.3390/rs13112074","See reference"
"Re2021-M4","Rei2021-M4_cog.tif","Megaptera novaeangliae","animal tracking","random forest","habitat suitability",FALSE,,0.782,"AUC",-180,179.999999999877,-79.9999999999977,-40,0.0999999999999658,0.0999999999999942,"degrees","EPSG:4326","https://github.com/ryanreisinger/megaPrediction","Habitat suitability according to model M4 in Reisinger et al. (2021). Performance is AUC using external validation data (catches/sightings), see Table 2 in Reisinger et al. (2021)","CC-BY 4.0","Reisinger RR, Friedlaender AS, Zerbini AN, Palacios DM, Andrews-Goff V, Dalla Rosa L, Double M, Findlay K, Garrigue C, How J, Jenner C, Jenner M-N, Mate B, Rosenbaum HC, Seakamela SM, Constantine R (2021) Combining regional habitat selection models for large-scale prediction: Circumpolar habitat selection of Southern Ocean humpback whales. Remote Sensing. 10.3390/rs13112074","See reference"
"Re2021-M5","Rei2021-M5_cog.tif","Megaptera novaeangliae","animal tracking","random forest","habitat suitability",FALSE,,0.821,"AUC",-180,179.999999999877,-79.9999999999977,-40,0.0999999999999658,0.0999999999999942,"degrees","EPSG:4326","https://github.com/ryanreisinger/megaPrediction","Habitat suitability according to model M5 in Reisinger et al. (2021). Performance is AUC using external validation data (catches/sightings), see Table 2 in Reisinger et al. (2021)","CC-BY 4.0","Reisinger RR, Friedlaender AS, Zerbini AN, Palacios DM, Andrews-Goff V, Dalla Rosa L, Double M, Findlay K, Garrigue C, How J, Jenner C, Jenner M-N, Mate B, Rosenbaum HC, Seakamela SM, Constantine R (2021) Combining regional habitat selection models for large-scale prediction: Circumpolar habitat selection of Southern Ocean humpback whales. Remote Sensing. 10.3390/rs13112074","See reference"
"Re2022-bioregions","Re2022-bioregions_cog.tif","marine predators","animal tracking","clustering, boosted regression tree","bioregions",FALSE,,,,-180,180,-78.8,-40,0.1,0.1,"degrees","+proj=longlat +datum=WGS84","https://github.com/ryanreisinger/soPredatorRegions","Bioregions are based on habitat importance of 17 species: Aptenodytes forsteri, Aptenodytes patagonicus, Arctocephalus gazella, Diomedea exulans, Eudyptes chrysolophus, Eudyptes schlegeli, Leptonychotes weddellii, Lobodon carcinophaga, Megaptera novaeangliae, Mirounga leonina, Phoebetria fusca, Phoebetria palpebrata, Procellaria aequinoctialis, Pygoscelis adeliae, Thalassarche chrysostoma, Thalassarche melanophris, Thalassoica antarctica","CC-BY 4.0","Reisinger R, Brooks C, Raymond B, Freer J, Cotté C, Xavier J, Trathan P, Bornemann H, Charrassin J-B, Costa D, Danis B, Hückstadt L, Jonsen I, Lea M-A, Torres L, Van de Putte A, Wotherspoon S, Friedlander A, Ropert-Coudert Y, Hindell M (2022) Predator-derived bioregions in the Southern Ocean: characteristics, drivers and representation in Marine Protected Areas. Biological Conservation. 10.1016/j.biocon.2022.109630","See reference"
"Ri2025-Myctophidae_bioregions","Ri2025-Myctophidae_bioregions_cog.tif","Myctophidae","occurrences","ensemble","bioregions",TRUE,"SD",,,-6899707,6914493,-6908380,6915620,57800,108000,"m","EPSG:102020","https://github.com/camlyr/LanternfishBiogeography",,"CC0","Rintz CL, Koubbi P, Ramiro-Sánchez B, Azarian C, Caccavo JA, Cotté C, Goberville E, Godet C, Hulley PA, Le Goff R, Leprieur F, Robuchon M, Serandour B, Leroy B (2025) Biogeographical regions and climate change: Lanternfishes shed light on the role of climatic barriers in the Southern Ocean. Global Change Biology. 10.1111/gcb.70256","See reference"
"Ri2025-Myctophidae_bioregions-SSP126_2060","Ri2025-Myctophidae_bioregions-SSP126_2060_cog.tif","Myctophidae","occurrences","ensemble","bioregions",TRUE,"SD",,,-6899707,6914493,-6908380,6915620,57800,108000,"m","EPSG:102020","https://github.com/camlyr/LanternfishBiogeography",,"CC0","Rintz CL, Koubbi P, Ramiro-Sánchez B, Azarian C, Caccavo JA, Cotté C, Goberville E, Godet C, Hulley PA, Le Goff R, Leprieur F, Robuchon M, Serandour B, Leroy B (2025) Biogeographical regions and climate change: Lanternfishes shed light on the role of climatic barriers in the Southern Ocean. Global Change Biology. 10.1111/gcb.70256","See reference"
"Ri2025-Myctophidae_bioregions-SSP126_2100","Ri2025-Myctophidae_bioregions-SSP126_2100_cog.tif","Myctophidae","occurrences","ensemble","bioregions",TRUE,"SD",,,-6899707,6914493,-6908380,6915620,57800,108000,"m","EPSG:102020","https://github.com/camlyr/LanternfishBiogeography",,"CC0","Rintz CL, Koubbi P, Ramiro-Sánchez B, Azarian C, Caccavo JA, Cotté C, Goberville E, Godet C, Hulley PA, Le Goff R, Leprieur F, Robuchon M, Serandour B, Leroy B (2025) Biogeographical regions and climate change: Lanternfishes shed light on the role of climatic barriers in the Southern Ocean. Global Change Biology. 10.1111/gcb.70256","See reference"
"Ri2025-Myctophidae_bioregions-SSP245_2060","Ri2025-Myctophidae_bioregions-SSP245_2060_cog.tif","Myctophidae","occurrences","ensemble","bioregions",TRUE,"SD",,,-6899707,6914493,-6908380,6915620,57800,108000,"m","EPSG:102020","https://github.com/camlyr/LanternfishBiogeography",,"CC0","Rintz CL, Koubbi P, Ramiro-Sánchez B, Azarian C, Caccavo JA, Cotté C, Goberville E, Godet C, Hulley PA, Le Goff R, Leprieur F, Robuchon M, Serandour B, Leroy B (2025) Biogeographical regions and climate change: Lanternfishes shed light on the role of climatic barriers in the Southern Ocean. Global Change Biology. 10.1111/gcb.70256","See reference"
"Ri2025-Myctophidae_bioregions-SSP245_2100","Ri2025-Myctophidae_bioregions-SSP245_2100_cog.tif","Myctophidae","occurrences","ensemble","bioregions",TRUE,"SD",,,-6899707,6914493,-6908380,6915620,57800,108000,"m","EPSG:102020","https://github.com/camlyr/LanternfishBiogeography",,"CC0","Rintz CL, Koubbi P, Ramiro-Sánchez B, Azarian C, Caccavo JA, Cotté C, Goberville E, Godet C, Hulley PA, Le Goff R, Leprieur F, Robuchon M, Serandour B, Leroy B (2025) Biogeographical regions and climate change: Lanternfishes shed light on the role of climatic barriers in the Southern Ocean. Global Change Biology. 10.1111/gcb.70256","See reference"
"Ri2025-Myctophidae_bioregions-SSP585_2060","Ri2025-Myctophidae_bioregions-SSP585_2060_cog.tif","Myctophidae","occurrences","ensemble","bioregions",TRUE,"SD",,,-6899707,6914493,-6908380,6915620,57800,108000,"m","EPSG:102020","https://github.com/camlyr/LanternfishBiogeography",,"CC0","Rintz CL, Koubbi P, Ramiro-Sánchez B, Azarian C, Caccavo JA, Cotté C, Goberville E, Godet C, Hulley PA, Le Goff R, Leprieur F, Robuchon M, Serandour B, Leroy B (2025) Biogeographical regions and climate change: Lanternfishes shed light on the role of climatic barriers in the Southern Ocean. Global Change Biology. 10.1111/gcb.70256","See reference"
"Ri2025-Myctophidae_bioregions-SSP585_2100","Ri2025-Myctophidae_bioregions-SSP585_2100_cog.tif","Myctophidae","occurrences","ensemble","bioregions",TRUE,"SD",,,-6899707,6914493,-6908380,6915620,57800,108000,"m","EPSG:102020","https://github.com/camlyr/LanternfishBiogeography",,"CC0","Rintz CL, Koubbi P, Ramiro-Sánchez B, Azarian C, Caccavo JA, Cotté C, Goberville E, Godet C, Hulley PA, Le Goff R, Leprieur F, Robuchon M, Serandour B, Leroy B (2025) Biogeographical regions and climate change: Lanternfishes shed light on the role of climatic barriers in the Southern Ocean. Global Change Biology. 10.1111/gcb.70256","See reference"
"EO-basemap_ps","EO-basemap_ps_cog.tif",,,,"supporting",FALSE,,,,-12367873,12367877,-12367877,12367873,750,750,"m","EPSG:3031",,"Original basemap reprojected to Antarctic polar stereographic","CC-BY 4.0","https://visibleearth.nasa.gov/images/147190/explorer-base-map","NASA Earth Observatory map by Joshua Stevens using data from NASA’s MODIS Land Cover, the Shuttle Radar Topography Mission (SRTM), the General Bathymetric Chart of the Oceans (GEBCO), and Natural Earth boundaries."
"IBCSO_bed","IBCSO_bed_cog.tif",,,,"supporting",FALSE,,,,-4898654.17609412,4898616.31323906,-4898616.31323906,4898654.17609412,510.27450465277,510.27450465277,"m","EPSG:3031",,"IBCSO V2 2024 update, reprojected to EPSG:3031 polar stereographic","CC-BY 4.0","https://ibcso.org/","Dorschel B et al. (2022) International Bathymetric Chart of the Southern Ocean Version 2 (IBCSO v2). 10.1038/s41597-022-01366-7"
"IBCSO_TID","IBCSO_TID_cog.tif",,,,"supporting",FALSE,,,,-4898635.24466659,4898635.24466659,-4898635.24466659,4898635.24466659,510.27450465277,510.27450465277,"m","EPSG:3031",,"IBCSO V2 2024 update, reprojected to EPSG:3031 polar stereographic. This raster gives the data source type for each grid cell: 10 = Singlebeam, 11 = Multibeam, 12 = Seismic, 13 = Isolated sounding, 14 = Electronic Navigation Chart sounding, 17 = Combination of direct measurements, 40 = Predicted bathymetry based on satellite-derived gravity data, 41 = Interpolated based on a computer algorithm, 42 = Digital bathymetric contours from charts, 45 = Predicted bathymetry based on flight-derived gravity data, 46 = Draft of a grounded iceberg, 70 = Pre-generated grid based on mixed source data types, 71 = Unknown source, 72 = Steering points","CC-BY 4.0","https://ibcso.org/","Dorschel B et al. (2022) International Bathymetric Chart of the Southern Ocean Version 2 (IBCSO v2). 10.1038/s41597-022-01366-7"
"Te2024-Mesostigmata","Te2024-Mesostigmata_cog.tif","Mesostigmata","physical environmental data","Poisson point process modelling","habitat suitability",FALSE,,,,-2868500,2867500,-2460500,2099500,2000,2000,"m","EPSG:3031",,,"CC-BY 4.0","Terauds A, Lee JR, Robertson T, Wauchope HS, Raymond B, Wotherspoon S, Shaw JD, Convey P, Chown SL, Morgan F (2024) Environmental drivers of Antarctic biodiversity in ice-free areas at a continental scale, Ver. 1, Australian Antarctic Data Centre. 10.26179/0cdf-5v18","See reference"
"Te2024-Sarcoptiformes","Te2024-Sarcoptiformes_cog.tif","Sarcoptiformes","physical environmental data","Poisson point process modelling","habitat suitability",FALSE,,,,-2868500,2867500,-2460500,2099500,2000,2000,"m","EPSG:3031",,,"CC-BY 4.0","Terauds A, Lee JR, Robertson T, Wauchope HS, Raymond B, Wotherspoon S, Shaw JD, Convey P, Chown SL, Morgan F (2024) Environmental drivers of Antarctic biodiversity in ice-free areas at a continental scale, Ver. 1, Australian Antarctic Data Centre. 10.26179/0cdf-5v18","See reference"
"Te2024-Trombidiformes","Te2024-Trombidiformes_cog.tif","Trombidiformes","physical environmental data","Poisson point process modelling","habitat suitability",FALSE,,,,-2868500,2867500,-2460500,2099500,2000,2000,"m","EPSG:3031",,,"CC-BY 4.0","Terauds A, Lee JR, Robertson T, Wauchope HS, Raymond B, Wotherspoon S, Shaw JD, Convey P, Chown SL, Morgan F (2024) Environmental drivers of Antarctic biodiversity in ice-free areas at a continental scale, Ver. 1, Australian Antarctic Data Centre. 10.26179/0cdf-5v18","See reference"
"Te2024-Entomobryomorpha","Te2024-Entomobryomorpha_cog.tif","Entomobryomorpha","physical environmental data","Poisson point process modelling","habitat suitability",FALSE,,,,-2868500,2867500,-2460500,2099500,2000,2000,"m","EPSG:3031",,,"CC-BY 4.0","Terauds A, Lee JR, Robertson T, Wauchope HS, Raymond B, Wotherspoon S, Shaw JD, Convey P, Chown SL, Morgan F (2024) Environmental drivers of Antarctic biodiversity in ice-free areas at a continental scale, Ver. 1, Australian Antarctic Data Centre. 10.26179/0cdf-5v18","See reference"
"Te2024-Acarosporaceae","Te2024-Acarosporaceae_cog.tif","Acarosporaceae","physical environmental data","Poisson point process modelling","habitat suitability",FALSE,,,,-2868500,2867500,-2460500,2099500,2000,2000,"m","EPSG:3031",,,"CC-BY 4.0","Terauds A, Lee JR, Robertson T, Wauchope HS, Raymond B, Wotherspoon S, Shaw JD, Convey P, Chown SL, Morgan F (2024) Environmental drivers of Antarctic biodiversity in ice-free areas at a continental scale, Ver. 1, Australian Antarctic Data Centre. 10.26179/0cdf-5v18","See reference"
"Te2024-Candelariaceae","Te2024-Candelariaceae_cog.tif","Candelariaceae","physical environmental data","Poisson point process modelling","habitat suitability",FALSE,,,,-2868500,2867500,-2460500,2099500,2000,2000,"m","EPSG:3031",,,"CC-BY 4.0","Terauds A, Lee JR, Robertson T, Wauchope HS, Raymond B, Wotherspoon S, Shaw JD, Convey P, Chown SL, Morgan F (2024) Environmental drivers of Antarctic biodiversity in ice-free areas at a continental scale, Ver. 1, Australian Antarctic Data Centre. 10.26179/0cdf-5v18","See reference"
"Te2024-Bacidiaceae","Te2024-Bacidiaceae_cog.tif","Bacidiaceae","physical environmental data","Poisson point process modelling","habitat suitability",FALSE,,,,-2868500,2867500,-2460500,2099500,2000,2000,"m","EPSG:3031",,,"CC-BY 4.0","Terauds A, Lee JR, Robertson T, Wauchope HS, Raymond B, Wotherspoon S, Shaw JD, Convey P, Chown SL, Morgan F (2024) Environmental drivers of Antarctic biodiversity in ice-free areas at a continental scale, Ver. 1, Australian Antarctic Data Centre. 10.26179/0cdf-5v18","See reference"
"Te2024-Cladoniaceae","Te2024-Cladoniaceae_cog.tif","Cladoniaceae","physical environmental data","Poisson point process modelling","habitat suitability",FALSE,,,,-2868500,2867500,-2460500,2099500,2000,2000,"m","EPSG:3031",,,"CC-BY 4.0","Terauds A, Lee JR, Robertson T, Wauchope HS, Raymond B, Wotherspoon S, Shaw JD, Convey P, Chown SL, Morgan F (2024) Environmental drivers of Antarctic biodiversity in ice-free areas at a continental scale, Ver. 1, Australian Antarctic Data Centre. 10.26179/0cdf-5v18","See reference"
"Te2024-Lecanoraceae","Te2024-Lecanoraceae_cog.tif","Lecanoraceae","physical environmental data","Poisson point process modelling","habitat suitability",FALSE,,,,-2868500,2867500,-2460500,2099500,2000,2000,"m","EPSG:3031",,,"CC-BY 4.0","Terauds A, Lee JR, Robertson T, Wauchope HS, Raymond B, Wotherspoon S, Shaw JD, Convey P, Chown SL, Morgan F (2024) Environmental drivers of Antarctic biodiversity in ice-free areas at a continental scale, Ver. 1, Australian Antarctic Data Centre. 10.26179/0cdf-5v18","See reference"
"Te2024-Parmeliaceae","Te2024-Parmeliaceae_cog.tif","Parmeliaceae","physical environmental data","Poisson point process modelling","habitat suitability",FALSE,,,,-2868500,2867500,-2460500,2099500,2000,2000,"m","EPSG:3031",,,"CC-BY 4.0","Terauds A, Lee JR, Robertson T, Wauchope HS, Raymond B, Wotherspoon S, Shaw JD, Convey P, Chown SL, Morgan F (2024) Environmental drivers of Antarctic biodiversity in ice-free areas at a continental scale, Ver. 1, Australian Antarctic Data Centre. 10.26179/0cdf-5v18","See reference"
"Te2024-Stereocaulaceae","Te2024-Stereocaulaceae_cog.tif","Stereocaulaceae","physical environmental data","Poisson point process modelling","habitat suitability",FALSE,,,,-2868500,2867500,-2460500,2099500,2000,2000,"m","EPSG:3031",,,"CC-BY 4.0","Terauds A, Lee JR, Robertson T, Wauchope HS, Raymond B, Wotherspoon S, Shaw JD, Convey P, Chown SL, Morgan F (2024) Environmental drivers of Antarctic biodiversity in ice-free areas at a continental scale, Ver. 1, Australian Antarctic Data Centre. 10.26179/0cdf-5v18","See reference"
"Te2024-Rhizocarpaceae","Te2024-Rhizocarpaceae_cog.tif","Rhizocarpaceae","physical environmental data","Poisson point process modelling","habitat suitability",FALSE,,,,-2868500,2867500,-2460500,2099500,2000,2000,"m","EPSG:3031",,,"CC-BY 4.0","Terauds A, Lee JR, Robertson T, Wauchope HS, Raymond B, Wotherspoon S, Shaw JD, Convey P, Chown SL, Morgan F (2024) Environmental drivers of Antarctic biodiversity in ice-free areas at a continental scale, Ver. 1, Australian Antarctic Data Centre. 10.26179/0cdf-5v18","See reference"
"Te2024-Physciaceae","Te2024-Physciaceae_cog.tif","Physciaceae","physical environmental data","Poisson point process modelling","habitat suitability",FALSE,,,,-2868500,2867500,-2460500,2099500,2000,2000,"m","EPSG:3031",,,"CC-BY 4.0","Terauds A, Lee JR, Robertson T, Wauchope HS, Raymond B, Wotherspoon S, Shaw JD, Convey P, Chown SL, Morgan F (2024) Environmental drivers of Antarctic biodiversity in ice-free areas at a continental scale, Ver. 1, Australian Antarctic Data Centre. 10.26179/0cdf-5v18","See reference"
"Te2024-Teloschistaceae","Te2024-Teloschistaceae_cog.tif","Teloschistaceae","physical environmental data","Poisson point process modelling","habitat suitability",FALSE,,,,-2868500,2867500,-2460500,2099500,2000,2000,"m","EPSG:3031",,,"CC-BY 4.0","Terauds A, Lee JR, Robertson T, Wauchope HS, Raymond B, Wotherspoon S, Shaw JD, Convey P, Chown SL, Morgan F (2024) Environmental drivers of Antarctic biodiversity in ice-free areas at a continental scale, Ver. 1, Australian Antarctic Data Centre. 10.26179/0cdf-5v18","See reference"
"Te2024-Bryales","Te2024-Bryales_cog.tif","Bryales","physical environmental data","Poisson point process modelling","habitat suitability",FALSE,,,,-2868500,2867500,-2460500,2099500,2000,2000,"m","EPSG:3031",,,"CC-BY 4.0","Terauds A, Lee JR, Robertson T, Wauchope HS, Raymond B, Wotherspoon S, Shaw JD, Convey P, Chown SL, Morgan F (2024) Environmental drivers of Antarctic biodiversity in ice-free areas at a continental scale, Ver. 1, Australian Antarctic Data Centre. 10.26179/0cdf-5v18","See reference"
"Te2024-Dicranales","Te2024-Dicranales_cog.tif","Dicranales","physical environmental data","Poisson point process modelling","habitat suitability",FALSE,,,,-2868500,2867500,-2460500,2099500,2000,2000,"m","EPSG:3031",,,"CC-BY 4.0","Terauds A, Lee JR, Robertson T, Wauchope HS, Raymond B, Wotherspoon S, Shaw JD, Convey P, Chown SL, Morgan F (2024) Environmental drivers of Antarctic biodiversity in ice-free areas at a continental scale, Ver. 1, Australian Antarctic Data Centre. 10.26179/0cdf-5v18","See reference"
"Te2024-Hypnales","Te2024-Hypnales_cog.tif","Hypnales","physical environmental data","Poisson point process modelling","habitat suitability",FALSE,,,,-2868500,2867500,-2460500,2099500,2000,2000,"m","EPSG:3031",,,"CC-BY 4.0","Terauds A, Lee JR, Robertson T, Wauchope HS, Raymond B, Wotherspoon S, Shaw JD, Convey P, Chown SL, Morgan F (2024) Environmental drivers of Antarctic biodiversity in ice-free areas at a continental scale, Ver. 1, Australian Antarctic Data Centre. 10.26179/0cdf-5v18","See reference"
"Te2024-Polytrichales","Te2024-Polytrichales_cog.tif","Polytrichales","physical environmental data","Poisson point process modelling","habitat suitability",FALSE,,,,-2868500,2867500,-2460500,2099500,2000,2000,"m","EPSG:3031",,,"CC-BY 4.0","Terauds A, Lee JR, Robertson T, Wauchope HS, Raymond B, Wotherspoon S, Shaw JD, Convey P, Chown SL, Morgan F (2024) Environmental drivers of Antarctic biodiversity in ice-free areas at a continental scale, Ver. 1, Australian Antarctic Data Centre. 10.26179/0cdf-5v18","See reference"
"Te2024-Pottiales","Te2024-Pottiales_cog.tif","Pottiales","physical environmental data","Poisson point process modelling","habitat suitability",FALSE,,,,-2868500,2867500,-2460500,2099500,2000,2000,"m","EPSG:3031",,,"CC-BY 4.0","Terauds A, Lee JR, Robertson T, Wauchope HS, Raymond B, Wotherspoon S, Shaw JD, Convey P, Chown SL, Morgan F (2024) Environmental drivers of Antarctic biodiversity in ice-free areas at a continental scale, Ver. 1, Australian Antarctic Data Centre. 10.26179/0cdf-5v18","See reference"
"Te2024-Chlorophyta","Te2024-Chlorophyta_cog.tif","Chlorophyta","physical environmental data","Poisson point process modelling","habitat suitability",FALSE,,,,-2868500,2867500,-2460500,2099500,2000,2000,"m","EPSG:3031",,,"CC-BY 4.0","Terauds A, Lee JR, Robertson T, Wauchope HS, Raymond B, Wotherspoon S, Shaw JD, Convey P, Chown SL, Morgan F (2024) Environmental drivers of Antarctic biodiversity in ice-free areas at a continental scale, Ver. 1, Australian Antarctic Data Centre. 10.26179/0cdf-5v18","See reference"
"Te2024-Pygoscelis antarcticus","Te2024-Pygoscelis antarcticus_cog.tif","Pygoscelis antarcticus","physical environmental data","Poisson point process modelling","habitat suitability",FALSE,,,,-2868500,2867500,-2460500,2099500,2000,2000,"m","EPSG:3031",,,"CC-BY 4.0","Terauds A, Lee JR, Robertson T, Wauchope HS, Raymond B, Wotherspoon S, Shaw JD, Convey P, Chown SL, Morgan F (2024) Environmental drivers of Antarctic biodiversity in ice-free areas at a continental scale, Ver. 1, Australian Antarctic Data Centre. 10.26179/0cdf-5v18","See reference"
"Te2024-Pygoscelis papua","Te2024-Pygoscelis papua_cog.tif","Pygoscelis papua","physical environmental data","Poisson point process modelling","habitat suitability",FALSE,,,,-2868500,2867500,-2460500,2099500,2000,2000,"m","EPSG:3031",,,"CC-BY 4.0","Terauds A, Lee JR, Robertson T, Wauchope HS, Raymond B, Wotherspoon S, Shaw JD, Convey P, Chown SL, Morgan F (2024) Environmental drivers of Antarctic biodiversity in ice-free areas at a continental scale, Ver. 1, Australian Antarctic Data Centre. 10.26179/0cdf-5v18","See reference"
"Te2024-Nematoda","Te2024-Nematoda_cog.tif","Nematoda","physical environmental data","Poisson point process modelling","habitat suitability",FALSE,,,,-2868500,2867500,-2460500,2099500,2000,2000,"m","EPSG:3031",,,"CC-BY 4.0","Terauds A, Lee JR, Robertson T, Wauchope HS, Raymond B, Wotherspoon S, Shaw JD, Convey P, Chown SL, Morgan F (2024) Environmental drivers of Antarctic biodiversity in ice-free areas at a continental scale, Ver. 1, Australian Antarctic Data Centre. 10.26179/0cdf-5v18","See reference"
"Te2024-Ochrophyta","Te2024-Ochrophyta_cog.tif","Ochrophyta","physical environmental data","Poisson point process modelling","habitat suitability",FALSE,,,,-2868500,2867500,-2460500,2099500,2000,2000,"m","EPSG:3031",,,"CC-BY 4.0","Terauds A, Lee JR, Robertson T, Wauchope HS, Raymond B, Wotherspoon S, Shaw JD, Convey P, Chown SL, Morgan F (2024) Environmental drivers of Antarctic biodiversity in ice-free areas at a continental scale, Ver. 1, Australian Antarctic Data Centre. 10.26179/0cdf-5v18","See reference"
"Te2024-Rotifera","Te2024-Rotifera_cog.tif","Rotifera","physical environmental data","Poisson point process modelling","habitat suitability",FALSE,,,,-2868500,2867500,-2460500,2099500,2000,2000,"m","EPSG:3031",,,"CC-BY 4.0","Terauds A, Lee JR, Robertson T, Wauchope HS, Raymond B, Wotherspoon S, Shaw JD, Convey P, Chown SL, Morgan F (2024) Environmental drivers of Antarctic biodiversity in ice-free areas at a continental scale, Ver. 1, Australian Antarctic Data Centre. 10.26179/0cdf-5v18","See reference"
"Te2021-physical_regionalisation","Te2021-physical_regionalisation_cog.tif",,"physical environmental data","clustering","bioregions",FALSE,,,,-180,180,-78,-50,1,1,"degrees","EPSG:4326",,"The colour map used in publications is #e5194a #3cb34d #fee119 #4364d8 #f58231 #901eb4 #41d4f5 #ef32e8 #bfee46 #fabebe #469991 #e6bdff","CC-BY 4.0","Testa G, Piñones A, Castro LR (2021) Physical and biogeochemical regionalization of the Southern Ocean and the CCAMLR zone 48.1. Frontiers in Marine Science 10.3389/fmars.2021.592378","See reference"
"Te2021-biogeochemical_regionalisation","Te2021-biogeochemical_regionalisation_cog.tif",,"biogeochemical data","clustering","bioregions",FALSE,,,,-180,180,-78,-50,1,1,"degrees","EPSG:4326",,"The colour map used in publications is #e5194a #3cb34d #fee119 #4364d8 #f58231 #901eb4 #41d4f5 #ef32e8 #bfee46 #fabebe #469991 #e6bdff #9a6227 #abffc3 #010077 #7f8000 #f4a362 #00ff01","CC-BY 4.0","Testa G, Piñones A, Castro LR (2021) Physical and biogeochemical regionalization of the Southern Ocean and the CCAMLR zone 48.1. Frontiers in Marine Science 10.3389/fmars.2021.592378","See reference"
"To2025-tier_1_major_environmental_units","To2025-tier_1_major_environmental_units_cog.tif","terrestrial ecosystems","physical environmental data","hierarchical classification","major environmental units",FALSE,"confidence",,,-2661816.29166667,2614583.70833333,-2490220.98473195,2321879.01526805,100,100,"m","EPSG:3031","https://github.com/anikobtoth/Antarctica",,"CC-BY 4.0","Tóth AB, Terauds A, Chown SL, Hughes KA, Convey P, Hodgson DA, Cowan DA, Gibson J, Leihy RI, Murray NJ, Robinson SA, Shaw JD, Stark JS, Stevens MI, van den Hoff J, Wasley J, Keith DA (2024). The Antarctic ecosystem inventory: a classification, descriptions and maps of Antarctica's ice-free terrestrial ecosystems (submitted)","See reference"
"To2025-tier_2_habitat_types","To2025-tier_2_habitat_types_cog.tif","terrestrial ecosystems","physical environmental and biotic data","hierarchical classification","habitat complexes",FALSE,"confidence",,,-2661816.29166667,2614583.70833333,-2490220.98473195,2321879.01526805,100,100,"m","EPSG:3031","https://github.com/anikobtoth/Antarctica",,"CC-BY 4.0","Tóth AB, Terauds A, Chown SL, Hughes KA, Convey P, Hodgson DA, Cowan DA, Gibson J, Leihy RI, Murray NJ, Robinson SA, Shaw JD, Stark JS, Stevens MI, van den Hoff J, Wasley J, Keith DA (2024). The Antarctic ecosystem inventory: a classification, descriptions and maps of Antarctica's ice-free terrestrial ecosystems (submitted)","See reference"
"To2025-tier_3_bioregional_ecosystem_types","To2025-tier_3_bioregional_ecosystem_types_cog.tif","terrestrial ecosystems","physical environmental and biotic data","hierarchical classification","bioregional ecosystem types",FALSE,,,,-2661816.29166667,2614583.70833333,-2490220.98473195,2321879.01526805,100,100,"m","EPSG:3031","https://github.com/anikobtoth/Antarctica",,"CC-BY 4.0","Tóth AB, Terauds A, Chown SL, Hughes KA, Convey P, Hodgson DA, Cowan DA, Gibson J, Leihy RI, Murray NJ, Robinson SA, Shaw JD, Stark JS, Stevens MI, van den Hoff J, Wasley J, Keith DA (2024). The Antarctic ecosystem inventory: a classification, descriptions and maps of Antarctica's ice-free terrestrial ecosystems (submitted)","See reference"
"Vi2023-SNPE_2011_03","Vi2023-SNPE_2011_03_cog.tif","Pagodroma nivea","animal tracking","boosted regression tree","habitat importance",FALSE,,,,-180,180,-90,-40,0.1,0.1,"degrees","EPSG:4326",,"This layer is monthly non-breeding habitat suitability for snow petrels breeding at Béchervaise and Filla Islands in Mar 2011. Layers here are as for Figure 5 in Viola et al. 2023","CC-BY 4.0","Viola B, Wienecke B, Green C-P, Corney C, Raymond B, Southwell C, Sumner MD, Virtue P, Wotherspoon S, Emmerson L (2023) Marine distribution and habitat use by snow petrels Pagodroma nivea in East Antarctica throughout the non-breeding period. Frontiers in Marine Science. 10.3389/fmars.2023.1278229","See reference"
"Vi2023-SNPE_2011_04","Vi2023-SNPE_2011_04_cog.tif","Pagodroma nivea","animal tracking","boosted regression tree","habitat importance",FALSE,,,,-180,180,-90,-40,0.1,0.1,"degrees","EPSG:4326",,"This layer is monthly non-breeding habitat suitability for snow petrels breeding at Béchervaise and Filla Islands in Apr 2011. Layers here are as for Figure 5 in Viola et al. 2023","CC-BY 4.0","Viola B, Wienecke B, Green C-P, Corney C, Raymond B, Southwell C, Sumner MD, Virtue P, Wotherspoon S, Emmerson L (2023) Marine distribution and habitat use by snow petrels Pagodroma nivea in East Antarctica throughout the non-breeding period. Frontiers in Marine Science. 10.3389/fmars.2023.1278229","See reference"
"Vi2023-SNPE_2011_05","Vi2023-SNPE_2011_05_cog.tif","Pagodroma nivea","animal tracking","boosted regression tree","habitat importance",FALSE,,,,-180,180,-90,-40,0.1,0.1,"degrees","EPSG:4326",,"This layer is monthly non-breeding habitat suitability for snow petrels breeding at Béchervaise and Filla Islands in May 2011. Layers here are as for Figure 5 in Viola et al. 2023","CC-BY 4.0","Viola B, Wienecke B, Green C-P, Corney C, Raymond B, Southwell C, Sumner MD, Virtue P, Wotherspoon S, Emmerson L (2023) Marine distribution and habitat use by snow petrels Pagodroma nivea in East Antarctica throughout the non-breeding period. Frontiers in Marine Science. 10.3389/fmars.2023.1278229","See reference"
"Vi2023-SNPE_2011_06","Vi2023-SNPE_2011_06_cog.tif","Pagodroma nivea","animal tracking","boosted regression tree","habitat importance",FALSE,,,,-180,180,-90,-40,0.1,0.1,"degrees","EPSG:4326",,"This layer is monthly non-breeding habitat suitability for snow petrels breeding at Béchervaise and Filla Islands in Jun 2011. Layers here are as for Figure 5 in Viola et al. 2023","CC-BY 4.0","Viola B, Wienecke B, Green C-P, Corney C, Raymond B, Southwell C, Sumner MD, Virtue P, Wotherspoon S, Emmerson L (2023) Marine distribution and habitat use by snow petrels Pagodroma nivea in East Antarctica throughout the non-breeding period. Frontiers in Marine Science. 10.3389/fmars.2023.1278229","See reference"
"Vi2023-SNPE_2011_07","Vi2023-SNPE_2011_07_cog.tif","Pagodroma nivea","animal tracking","boosted regression tree","habitat importance",FALSE,,,,-180,180,-90,-40,0.1,0.1,"degrees","EPSG:4326",,"This layer is monthly non-breeding habitat suitability for snow petrels breeding at Béchervaise and Filla Islands in Jul 2011. Layers here are as for Figure 5 in Viola et al. 2023","CC-BY 4.0","Viola B, Wienecke B, Green C-P, Corney C, Raymond B, Southwell C, Sumner MD, Virtue P, Wotherspoon S, Emmerson L (2023) Marine distribution and habitat use by snow petrels Pagodroma nivea in East Antarctica throughout the non-breeding period. Frontiers in Marine Science. 10.3389/fmars.2023.1278229","See reference"
"Vi2023-SNPE_2011_08","Vi2023-SNPE_2011_08_cog.tif","Pagodroma nivea","animal tracking","boosted regression tree","habitat importance",FALSE,,,,-180,180,-90,-40,0.1,0.1,"degrees","EPSG:4326",,"This layer is monthly non-breeding habitat suitability for snow petrels breeding at Béchervaise and Filla Islands in Aug 2011. Layers here are as for Figure 5 in Viola et al. 2023","CC-BY 4.0","Viola B, Wienecke B, Green C-P, Corney C, Raymond B, Southwell C, Sumner MD, Virtue P, Wotherspoon S, Emmerson L (2023) Marine distribution and habitat use by snow petrels Pagodroma nivea in East Antarctica throughout the non-breeding period. Frontiers in Marine Science. 10.3389/fmars.2023.1278229","See reference"
"Vi2023-SNPE_2011_09","Vi2023-SNPE_2011_09_cog.tif","Pagodroma nivea","animal tracking","boosted regression tree","habitat importance",FALSE,,,,-180,180,-90,-40,0.1,0.1,"degrees","EPSG:4326",,"This layer is monthly non-breeding habitat suitability for snow petrels breeding at Béchervaise and Filla Islands in Sep 2011. Layers here are as for Figure 5 in Viola et al. 2023","CC-BY 4.0","Viola B, Wienecke B, Green C-P, Corney C, Raymond B, Southwell C, Sumner MD, Virtue P, Wotherspoon S, Emmerson L (2023) Marine distribution and habitat use by snow petrels Pagodroma nivea in East Antarctica throughout the non-breeding period. Frontiers in Marine Science. 10.3389/fmars.2023.1278229","See reference"
"Vi2023-SNPE_2011_10","Vi2023-SNPE_2011_10_cog.tif","Pagodroma nivea","animal tracking","boosted regression tree","habitat importance",FALSE,,,,-180,180,-90,-40,0.1,0.1,"degrees","EPSG:4326",,"This layer is monthly non-breeding habitat suitability for snow petrels breeding at Béchervaise and Filla Islands in Oct 2011. Layers here are as for Figure 5 in Viola et al. 2023","CC-BY 4.0","Viola B, Wienecke B, Green C-P, Corney C, Raymond B, Southwell C, Sumner MD, Virtue P, Wotherspoon S, Emmerson L (2023) Marine distribution and habitat use by snow petrels Pagodroma nivea in East Antarctica throughout the non-breeding period. Frontiers in Marine Science. 10.3389/fmars.2023.1278229","See reference"
"Vi2023-SNPE_2012_03","Vi2023-SNPE_2012_03_cog.tif","Pagodroma nivea","animal tracking","boosted regression tree","habitat importance",FALSE,,,,-180,180,-90,-40,0.1,0.1,"degrees","EPSG:4326",,"This layer is monthly non-breeding habitat suitability for snow petrels breeding at Béchervaise and Filla Islands in Mar 2012. Layers here are as for Figure 5 in Viola et al. 2023","CC-BY 4.0","Viola B, Wienecke B, Green C-P, Corney C, Raymond B, Southwell C, Sumner MD, Virtue P, Wotherspoon S, Emmerson L (2023) Marine distribution and habitat use by snow petrels Pagodroma nivea in East Antarctica throughout the non-breeding period. Frontiers in Marine Science. 10.3389/fmars.2023.1278229","See reference"
"Vi2023-SNPE_2012_04","Vi2023-SNPE_2012_04_cog.tif","Pagodroma nivea","animal tracking","boosted regression tree","habitat importance",FALSE,,,,-180,180,-90,-40,0.1,0.1,"degrees","EPSG:4326",,"This layer is monthly non-breeding habitat suitability for snow petrels breeding at Béchervaise and Filla Islands in Apr 2012. Layers here are as for Figure 5 in Viola et al. 2023","CC-BY 4.0","Viola B, Wienecke B, Green C-P, Corney C, Raymond B, Southwell C, Sumner MD, Virtue P, Wotherspoon S, Emmerson L (2023) Marine distribution and habitat use by snow petrels Pagodroma nivea in East Antarctica throughout the non-breeding period. Frontiers in Marine Science. 10.3389/fmars.2023.1278229","See reference"
"Vi2023-SNPE_2012_05","Vi2023-SNPE_2012_05_cog.tif","Pagodroma nivea","animal tracking","boosted regression tree","habitat importance",FALSE,,,,-180,180,-90,-40,0.1,0.1,"degrees","EPSG:4326",,"This layer is monthly non-breeding habitat suitability for snow petrels breeding at Béchervaise and Filla Islands in May 2012. Layers here are as for Figure 5 in Viola et al. 2023","CC-BY 4.0","Viola B, Wienecke B, Green C-P, Corney C, Raymond B, Southwell C, Sumner MD, Virtue P, Wotherspoon S, Emmerson L (2023) Marine distribution and habitat use by snow petrels Pagodroma nivea in East Antarctica throughout the non-breeding period. Frontiers in Marine Science. 10.3389/fmars.2023.1278229","See reference"
"Vi2023-SNPE_2012_06","Vi2023-SNPE_2012_06_cog.tif","Pagodroma nivea","animal tracking","boosted regression tree","habitat importance",FALSE,,,,-180,180,-90,-40,0.1,0.1,"degrees","EPSG:4326",,"This layer is monthly non-breeding habitat suitability for snow petrels breeding at Béchervaise and Filla Islands in Jun 2012. Layers here are as for Figure 5 in Viola et al. 2023","CC-BY 4.0","Viola B, Wienecke B, Green C-P, Corney C, Raymond B, Southwell C, Sumner MD, Virtue P, Wotherspoon S, Emmerson L (2023) Marine distribution and habitat use by snow petrels Pagodroma nivea in East Antarctica throughout the non-breeding period. Frontiers in Marine Science. 10.3389/fmars.2023.1278229","See reference"
"Vi2023-SNPE_2012_07","Vi2023-SNPE_2012_07_cog.tif","Pagodroma nivea","animal tracking","boosted regression tree","habitat importance",FALSE,,,,-180,180,-90,-40,0.1,0.1,"degrees","EPSG:4326",,"This layer is monthly non-breeding habitat suitability for snow petrels breeding at Béchervaise and Filla Islands in Jul 2012. Layers here are as for Figure 5 in Viola et al. 2023","CC-BY 4.0","Viola B, Wienecke B, Green C-P, Corney C, Raymond B, Southwell C, Sumner MD, Virtue P, Wotherspoon S, Emmerson L (2023) Marine distribution and habitat use by snow petrels Pagodroma nivea in East Antarctica throughout the non-breeding period. Frontiers in Marine Science. 10.3389/fmars.2023.1278229","See reference"
"Vi2023-SNPE_2012_08","Vi2023-SNPE_2012_08_cog.tif","Pagodroma nivea","animal tracking","boosted regression tree","habitat importance",FALSE,,,,-180,180,-90,-40,0.1,0.1,"degrees","EPSG:4326",,"This layer is monthly non-breeding habitat suitability for snow petrels breeding at Béchervaise and Filla Islands in Aug 2012. Layers here are as for Figure 5 in Viola et al. 2023","CC-BY 4.0","Viola B, Wienecke B, Green C-P, Corney C, Raymond B, Southwell C, Sumner MD, Virtue P, Wotherspoon S, Emmerson L (2023) Marine distribution and habitat use by snow petrels Pagodroma nivea in East Antarctica throughout the non-breeding period. Frontiers in Marine Science. 10.3389/fmars.2023.1278229","See reference"
"Vi2023-SNPE_2012_09","Vi2023-SNPE_2012_09_cog.tif","Pagodroma nivea","animal tracking","boosted regression tree","habitat importance",FALSE,,,,-180,180,-90,-40,0.1,0.1,"degrees","EPSG:4326",,"This layer is monthly non-breeding habitat suitability for snow petrels breeding at Béchervaise and Filla Islands in Sep 2012. Layers here are as for Figure 5 in Viola et al. 2023","CC-BY 4.0","Viola B, Wienecke B, Green C-P, Corney C, Raymond B, Southwell C, Sumner MD, Virtue P, Wotherspoon S, Emmerson L (2023) Marine distribution and habitat use by snow petrels Pagodroma nivea in East Antarctica throughout the non-breeding period. Frontiers in Marine Science. 10.3389/fmars.2023.1278229","See reference"
"Vi2023-SNPE_2012_10","Vi2023-SNPE_2012_10_cog.tif","Pagodroma nivea","animal tracking","boosted regression tree","habitat importance",FALSE,,,,-180,180,-90,-40,0.1,0.1,"degrees","EPSG:4326",,"This layer is monthly non-breeding habitat suitability for snow petrels breeding at Béchervaise and Filla Islands in Oct 2012. Layers here are as for Figure 5 in Viola et al. 2023","CC-BY 4.0","Viola B, Wienecke B, Green C-P, Corney C, Raymond B, Southwell C, Sumner MD, Virtue P, Wotherspoon S, Emmerson L (2023) Marine distribution and habitat use by snow petrels Pagodroma nivea in East Antarctica throughout the non-breeding period. Frontiers in Marine Science. 10.3389/fmars.2023.1278229","See reference"
"Wo2023-Bathylagus_sp_day","Wo2023-Bathylagus_sp_day_cog.tif","Bathylagus sp.","net trawls","boosted regression tree","daytime abundance",FALSE,"CV",0.63,"mean correlation coefficient",-180,180,-75,-40,0.1,0.1,"degrees","EPSG:4326","https://github.com/BreeWoods/Myctobase-SDMs","Species-wise abundances: Units are individuals / 1000m^3","CC-BY 4.0","Woods BL, Van de Putte AP, Hindell MA, Raymond B, Saunders RA, Walters A, Trebilco R (2023) Species distribution models describe spatial variability in mesopelagic fish abundance in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2022.981434","Woods BL, Trebilco R, Walters A, Hindell MA, Duhamel G, Flores H, Moteki M, Pruvost P, Reiss C, Saunders RA, Sutton C, Gan Y-M, Van de Putte AP (2022) Myctobase, a circumpolar database of mesopelagic fishes for new insights into deep pelagic prey fields. Scientific Data. 10.1038/s41597-022-01496-y"
"Wo2023-Bathylagus_sp_night","Wo2023-Bathylagus_sp_night_cog.tif","Bathylagus sp.","net trawls","boosted regression tree","nighttime abundance",FALSE,"CV",0.63,"mean correlation coefficient",-180,180,-75,-40,0.1,0.1,"degrees","EPSG:4326","https://github.com/BreeWoods/Myctobase-SDMs","Species-wise abundances: Units are individuals / 1000m^3","CC-BY 4.0","Woods BL, Van de Putte AP, Hindell MA, Raymond B, Saunders RA, Walters A, Trebilco R (2023) Species distribution models describe spatial variability in mesopelagic fish abundance in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2022.981434","Woods BL, Trebilco R, Walters A, Hindell MA, Duhamel G, Flores H, Moteki M, Pruvost P, Reiss C, Saunders RA, Sutton C, Gan Y-M, Van de Putte AP (2022) Myctobase, a circumpolar database of mesopelagic fishes for new insights into deep pelagic prey fields. Scientific Data. 10.1038/s41597-022-01496-y"
"Wo2023-Electrona_antarctica_day","Wo2023-Electrona_antarctica_day_cog.tif","Electrona antarctica","net trawls","boosted regression tree","daytime abundance",FALSE,"CV",0.63,"mean correlation coefficient",-180,180,-75,-40,0.1,0.1,"degrees","EPSG:4326","https://github.com/BreeWoods/Myctobase-SDMs","Species-wise abundances: Units are individuals / 1000m^3","CC-BY 4.0","Woods BL, Van de Putte AP, Hindell MA, Raymond B, Saunders RA, Walters A, Trebilco R (2023) Species distribution models describe spatial variability in mesopelagic fish abundance in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2022.981434","Woods BL, Trebilco R, Walters A, Hindell MA, Duhamel G, Flores H, Moteki M, Pruvost P, Reiss C, Saunders RA, Sutton C, Gan Y-M, Van de Putte AP (2022) Myctobase, a circumpolar database of mesopelagic fishes for new insights into deep pelagic prey fields. Scientific Data. 10.1038/s41597-022-01496-y"
"Wo2023-Electrona_antarctica_night","Wo2023-Electrona_antarctica_night_cog.tif","Electrona antarctica","net trawls","boosted regression tree","nighttime abundance",FALSE,"CV",0.63,"mean correlation coefficient",-180,180,-75,-40,0.1,0.1,"degrees","EPSG:4326","https://github.com/BreeWoods/Myctobase-SDMs","Species-wise abundances: Units are individuals / 1000m^3","CC-BY 4.0","Woods BL, Van de Putte AP, Hindell MA, Raymond B, Saunders RA, Walters A, Trebilco R (2023) Species distribution models describe spatial variability in mesopelagic fish abundance in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2022.981434","Woods BL, Trebilco R, Walters A, Hindell MA, Duhamel G, Flores H, Moteki M, Pruvost P, Reiss C, Saunders RA, Sutton C, Gan Y-M, Van de Putte AP (2022) Myctobase, a circumpolar database of mesopelagic fishes for new insights into deep pelagic prey fields. Scientific Data. 10.1038/s41597-022-01496-y"
"Wo2023-Electrona_carlsbergi_day","Wo2023-Electrona_carlsbergi_day_cog.tif","Electrona carlsbergi","net trawls","boosted regression tree","daytime abundance",FALSE,"CV",0.63,"mean correlation coefficient",-180,180,-75,-40,0.1,0.1,"degrees","EPSG:4326","https://github.com/BreeWoods/Myctobase-SDMs","Species-wise abundances: Units are individuals / 1000m^3","CC-BY 4.0","Woods BL, Van de Putte AP, Hindell MA, Raymond B, Saunders RA, Walters A, Trebilco R (2023) Species distribution models describe spatial variability in mesopelagic fish abundance in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2022.981434","Woods BL, Trebilco R, Walters A, Hindell MA, Duhamel G, Flores H, Moteki M, Pruvost P, Reiss C, Saunders RA, Sutton C, Gan Y-M, Van de Putte AP (2022) Myctobase, a circumpolar database of mesopelagic fishes for new insights into deep pelagic prey fields. Scientific Data. 10.1038/s41597-022-01496-y"
"Wo2023-Electrona_carlsbergi_night","Wo2023-Electrona_carlsbergi_night_cog.tif","Electrona carlsbergi","net trawls","boosted regression tree","nighttime abundance",FALSE,"CV",0.63,"mean correlation coefficient",-180,180,-75,-40,0.1,0.1,"degrees","EPSG:4326","https://github.com/BreeWoods/Myctobase-SDMs","Species-wise abundances: Units are individuals / 1000m^3","CC-BY 4.0","Woods BL, Van de Putte AP, Hindell MA, Raymond B, Saunders RA, Walters A, Trebilco R (2023) Species distribution models describe spatial variability in mesopelagic fish abundance in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2022.981434","Woods BL, Trebilco R, Walters A, Hindell MA, Duhamel G, Flores H, Moteki M, Pruvost P, Reiss C, Saunders RA, Sutton C, Gan Y-M, Van de Putte AP (2022) Myctobase, a circumpolar database of mesopelagic fishes for new insights into deep pelagic prey fields. Scientific Data. 10.1038/s41597-022-01496-y"
"Wo2023-Gymnoscopelus_braueri_day","Wo2023-Gymnoscopelus_braueri_day_cog.tif","Gymnoscopelus braueri","net trawls","boosted regression tree","daytime abundance",FALSE,"CV",0.65,"mean correlation coefficient",-180,180,-75,-40,0.1,0.1,"degrees","EPSG:4326","https://github.com/BreeWoods/Myctobase-SDMs","Species-wise abundances: Units are individuals / 1000m^3","CC-BY 4.0","Woods BL, Van de Putte AP, Hindell MA, Raymond B, Saunders RA, Walters A, Trebilco R (2023) Species distribution models describe spatial variability in mesopelagic fish abundance in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2022.981434","Woods BL, Trebilco R, Walters A, Hindell MA, Duhamel G, Flores H, Moteki M, Pruvost P, Reiss C, Saunders RA, Sutton C, Gan Y-M, Van de Putte AP (2022) Myctobase, a circumpolar database of mesopelagic fishes for new insights into deep pelagic prey fields. Scientific Data. 10.1038/s41597-022-01496-y"
"Wo2023-Gymnoscopelus_braueri_night","Wo2023-Gymnoscopelus_braueri_night_cog.tif","Gymnoscopelus braueri","net trawls","boosted regression tree","nighttime abundance",FALSE,"CV",0.65,"mean correlation coefficient",-180,180,-75,-40,0.1,0.1,"degrees","EPSG:4326","https://github.com/BreeWoods/Myctobase-SDMs","Species-wise abundances: Units are individuals / 1000m^3","CC-BY 4.0","Woods BL, Van de Putte AP, Hindell MA, Raymond B, Saunders RA, Walters A, Trebilco R (2023) Species distribution models describe spatial variability in mesopelagic fish abundance in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2022.981434","Woods BL, Trebilco R, Walters A, Hindell MA, Duhamel G, Flores H, Moteki M, Pruvost P, Reiss C, Saunders RA, Sutton C, Gan Y-M, Van de Putte AP (2022) Myctobase, a circumpolar database of mesopelagic fishes for new insights into deep pelagic prey fields. Scientific Data. 10.1038/s41597-022-01496-y"
"Wo2023-Gymnoscopelus_fraseri_day","Wo2023-Gymnoscopelus_fraseri_day_cog.tif","Gymnoscopelus fraseri","net trawls","boosted regression tree","daytime abundance",FALSE,"CV",0.49,"mean correlation coefficient",-180,180,-75,-40,0.1,0.1,"degrees","EPSG:4326","https://github.com/BreeWoods/Myctobase-SDMs","Species-wise abundances: Units are individuals / 1000m^3","CC-BY 4.0","Woods BL, Van de Putte AP, Hindell MA, Raymond B, Saunders RA, Walters A, Trebilco R (2023) Species distribution models describe spatial variability in mesopelagic fish abundance in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2022.981434","Woods BL, Trebilco R, Walters A, Hindell MA, Duhamel G, Flores H, Moteki M, Pruvost P, Reiss C, Saunders RA, Sutton C, Gan Y-M, Van de Putte AP (2022) Myctobase, a circumpolar database of mesopelagic fishes for new insights into deep pelagic prey fields. Scientific Data. 10.1038/s41597-022-01496-y"
"Wo2023-Gymnoscopelus_fraseri_night","Wo2023-Gymnoscopelus_fraseri_night_cog.tif","Gymnoscopelus fraseri","net trawls","boosted regression tree","nighttime abundance",FALSE,"CV",0.49,"mean correlation coefficient",-180,180,-75,-40,0.1,0.1,"degrees","EPSG:4326","https://github.com/BreeWoods/Myctobase-SDMs","Species-wise abundances: Units are individuals / 1000m^3","CC-BY 4.0","Woods BL, Van de Putte AP, Hindell MA, Raymond B, Saunders RA, Walters A, Trebilco R (2023) Species distribution models describe spatial variability in mesopelagic fish abundance in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2022.981434","Woods BL, Trebilco R, Walters A, Hindell MA, Duhamel G, Flores H, Moteki M, Pruvost P, Reiss C, Saunders RA, Sutton C, Gan Y-M, Van de Putte AP (2022) Myctobase, a circumpolar database of mesopelagic fishes for new insights into deep pelagic prey fields. Scientific Data. 10.1038/s41597-022-01496-y"
"Wo2023-Gymnoscopelus_nicholsi_day","Wo2023-Gymnoscopelus_nicholsi_day_cog.tif","Gymnoscopelus nicholsi","net trawls","boosted regression tree","daytime abundance",FALSE,"CV",0.52,"mean correlation coefficient",-180,180,-75,-40,0.1,0.1,"degrees","EPSG:4326","https://github.com/BreeWoods/Myctobase-SDMs","Species-wise abundances: Units are individuals / 1000m^3","CC-BY 4.0","Woods BL, Van de Putte AP, Hindell MA, Raymond B, Saunders RA, Walters A, Trebilco R (2023) Species distribution models describe spatial variability in mesopelagic fish abundance in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2022.981434","Woods BL, Trebilco R, Walters A, Hindell MA, Duhamel G, Flores H, Moteki M, Pruvost P, Reiss C, Saunders RA, Sutton C, Gan Y-M, Van de Putte AP (2022) Myctobase, a circumpolar database of mesopelagic fishes for new insights into deep pelagic prey fields. Scientific Data. 10.1038/s41597-022-01496-y"
"Wo2023-Gymnoscopelus_nicholsi_night","Wo2023-Gymnoscopelus_nicholsi_night_cog.tif","Gymnoscopelus nicholsi","net trawls","boosted regression tree","nighttime abundance",FALSE,"CV",0.52,"mean correlation coefficient",-180,180,-75,-40,0.1,0.1,"degrees","EPSG:4326","https://github.com/BreeWoods/Myctobase-SDMs","Species-wise abundances: Units are individuals / 1000m^3","CC-BY 4.0","Woods BL, Van de Putte AP, Hindell MA, Raymond B, Saunders RA, Walters A, Trebilco R (2023) Species distribution models describe spatial variability in mesopelagic fish abundance in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2022.981434","Woods BL, Trebilco R, Walters A, Hindell MA, Duhamel G, Flores H, Moteki M, Pruvost P, Reiss C, Saunders RA, Sutton C, Gan Y-M, Van de Putte AP (2022) Myctobase, a circumpolar database of mesopelagic fishes for new insights into deep pelagic prey fields. Scientific Data. 10.1038/s41597-022-01496-y"
"Wo2023-Krefftichthys_anderssoni_day","Wo2023-Krefftichthys_anderssoni_day_cog.tif","Krefftichthys anderssoni","net trawls","boosted regression tree","daytime abundance",FALSE,"CV",0.69,"mean correlation coefficient",-180,180,-75,-40,0.1,0.1,"degrees","EPSG:4326","https://github.com/BreeWoods/Myctobase-SDMs","Species-wise abundances: Units are individuals / 1000m^3","CC-BY 4.0","Woods BL, Van de Putte AP, Hindell MA, Raymond B, Saunders RA, Walters A, Trebilco R (2023) Species distribution models describe spatial variability in mesopelagic fish abundance in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2022.981434","Woods BL, Trebilco R, Walters A, Hindell MA, Duhamel G, Flores H, Moteki M, Pruvost P, Reiss C, Saunders RA, Sutton C, Gan Y-M, Van de Putte AP (2022) Myctobase, a circumpolar database of mesopelagic fishes for new insights into deep pelagic prey fields. Scientific Data. 10.1038/s41597-022-01496-y"
"Wo2023-Krefftichthys_anderssoni_night","Wo2023-Krefftichthys_anderssoni_night_cog.tif","Krefftichthys anderssoni","net trawls","boosted regression tree","nighttime abundance",FALSE,"CV",0.69,"mean correlation coefficient",-180,180,-75,-40,0.1,0.1,"degrees","EPSG:4326","https://github.com/BreeWoods/Myctobase-SDMs","Species-wise abundances: Units are individuals / 1000m^3","CC-BY 4.0","Woods BL, Van de Putte AP, Hindell MA, Raymond B, Saunders RA, Walters A, Trebilco R (2023) Species distribution models describe spatial variability in mesopelagic fish abundance in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2022.981434","Woods BL, Trebilco R, Walters A, Hindell MA, Duhamel G, Flores H, Moteki M, Pruvost P, Reiss C, Saunders RA, Sutton C, Gan Y-M, Van de Putte AP (2022) Myctobase, a circumpolar database of mesopelagic fishes for new insights into deep pelagic prey fields. Scientific Data. 10.1038/s41597-022-01496-y"
"Wo2023-Protomyctophum_bolini_day","Wo2023-Protomyctophum_bolini_day_cog.tif","Protomyctophum bolini","net trawls","boosted regression tree","daytime abundance",FALSE,"CV",0.6,"mean correlation coefficient",-180,180,-75,-40,0.1,0.1,"degrees","EPSG:4326","https://github.com/BreeWoods/Myctobase-SDMs","Species-wise abundances: Units are individuals / 1000m^3","CC-BY 4.0","Woods BL, Van de Putte AP, Hindell MA, Raymond B, Saunders RA, Walters A, Trebilco R (2023) Species distribution models describe spatial variability in mesopelagic fish abundance in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2022.981434","Woods BL, Trebilco R, Walters A, Hindell MA, Duhamel G, Flores H, Moteki M, Pruvost P, Reiss C, Saunders RA, Sutton C, Gan Y-M, Van de Putte AP (2022) Myctobase, a circumpolar database of mesopelagic fishes for new insights into deep pelagic prey fields. Scientific Data. 10.1038/s41597-022-01496-y"
"Wo2023-Protomyctophum_bolini_night","Wo2023-Protomyctophum_bolini_night_cog.tif","Protomyctophum bolini","net trawls","boosted regression tree","nighttime abundance",FALSE,"CV",0.6,"mean correlation coefficient",-180,180,-75,-40,0.1,0.1,"degrees","EPSG:4326","https://github.com/BreeWoods/Myctobase-SDMs","Species-wise abundances: Units are individuals / 1000m^3","CC-BY 4.0","Woods BL, Van de Putte AP, Hindell MA, Raymond B, Saunders RA, Walters A, Trebilco R (2023) Species distribution models describe spatial variability in mesopelagic fish abundance in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2022.981434","Woods BL, Trebilco R, Walters A, Hindell MA, Duhamel G, Flores H, Moteki M, Pruvost P, Reiss C, Saunders RA, Sutton C, Gan Y-M, Van de Putte AP (2022) Myctobase, a circumpolar database of mesopelagic fishes for new insights into deep pelagic prey fields. Scientific Data. 10.1038/s41597-022-01496-y"
"Wo2023-Protomyctophum_tenisoni_day","Wo2023-Protomyctophum_tenisoni_day_cog.tif","Protomyctophum tenisoni","net trawls","boosted regression tree","daytime abundance",FALSE,"CV",0.66,"mean correlation coefficient",-180,180,-75,-40,0.1,0.1,"degrees","EPSG:4326","https://github.com/BreeWoods/Myctobase-SDMs","Species-wise abundances: Units are individuals / 1000m^3","CC-BY 4.0","Woods BL, Van de Putte AP, Hindell MA, Raymond B, Saunders RA, Walters A, Trebilco R (2023) Species distribution models describe spatial variability in mesopelagic fish abundance in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2022.981434","Woods BL, Trebilco R, Walters A, Hindell MA, Duhamel G, Flores H, Moteki M, Pruvost P, Reiss C, Saunders RA, Sutton C, Gan Y-M, Van de Putte AP (2022) Myctobase, a circumpolar database of mesopelagic fishes for new insights into deep pelagic prey fields. Scientific Data. 10.1038/s41597-022-01496-y"
"Wo2023-Protomyctophum_tenisoni_night","Wo2023-Protomyctophum_tenisoni_night_cog.tif","Protomyctophum tenisoni","net trawls","boosted regression tree","nighttime abundance",FALSE,"CV",0.66,"mean correlation coefficient",-180,180,-75,-40,0.1,0.1,"degrees","EPSG:4326","https://github.com/BreeWoods/Myctobase-SDMs","Species-wise abundances: Units are individuals / 1000m^3","CC-BY 4.0","Woods BL, Van de Putte AP, Hindell MA, Raymond B, Saunders RA, Walters A, Trebilco R (2023) Species distribution models describe spatial variability in mesopelagic fish abundance in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2022.981434","Woods BL, Trebilco R, Walters A, Hindell MA, Duhamel G, Flores H, Moteki M, Pruvost P, Reiss C, Saunders RA, Sutton C, Gan Y-M, Van de Putte AP (2022) Myctobase, a circumpolar database of mesopelagic fishes for new insights into deep pelagic prey fields. Scientific Data. 10.1038/s41597-022-01496-y"
"Wo2023-Multiple_Antarctic_fishes_night","Wo2023-Multiple_Antarctic_fishes_night_cog.tif","Multiple Antarctic fishes","net trawls","boosted regression tree","nighttime abundance",FALSE,"CV",,"mean correlation coefficient",-180,180,-75,-40,0.1,0.1,"degrees","EPSG:4326","https://github.com/BreeWoods/Myctobase-SDMs","The total combined night-time abundance (90th percentile)","CC-BY 4.0","Woods BL, Van de Putte AP, Hindell MA, Raymond B, Saunders RA, Walters A, Trebilco R (2023) Species distribution models describe spatial variability in mesopelagic fish abundance in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2022.981434","Woods BL, Trebilco R, Walters A, Hindell MA, Duhamel G, Flores H, Moteki M, Pruvost P, Reiss C, Saunders RA, Sutton C, Gan Y-M, Van de Putte AP (2022) Myctobase, a circumpolar database of mesopelagic fishes for new insights into deep pelagic prey fields. Scientific Data. 10.1038/s41597-022-01496-y"
"Wo2023-Multiple_broadly_Antarctic_fishes_night","Wo2023-Multiple_broadly_Antarctic_fishes_night_cog.tif","Multiple broadly Antarctic fishes","net trawls","boosted regression tree","nighttime abundance",FALSE,"CV",,"mean correlation coefficient",-180,180,-75,-40,0.1,0.1,"degrees","EPSG:4326","https://github.com/BreeWoods/Myctobase-SDMs","The total combined night-time abundance (90th percentile)","CC-BY 4.0","Woods BL, Van de Putte AP, Hindell MA, Raymond B, Saunders RA, Walters A, Trebilco R (2023) Species distribution models describe spatial variability in mesopelagic fish abundance in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2022.981434","Woods BL, Trebilco R, Walters A, Hindell MA, Duhamel G, Flores H, Moteki M, Pruvost P, Reiss C, Saunders RA, Sutton C, Gan Y-M, Van de Putte AP (2022) Myctobase, a circumpolar database of mesopelagic fishes for new insights into deep pelagic prey fields. Scientific Data. 10.1038/s41597-022-01496-y"
"Wo2023-Multiple_Sub-Antarctic_fishes_night","Wo2023-Multiple_Sub-Antarctic_fishes_night_cog.tif","Multiple Sub-Antarctic fishes","net trawls","boosted regression tree","nighttime abundance",FALSE,"CV",,"mean correlation coefficient",-180,180,-75,-40,0.1,0.1,"degrees","EPSG:4326","https://github.com/BreeWoods/Myctobase-SDMs","The total combined night-time abundance (90th percentile)","CC-BY 4.0","Woods BL, Van de Putte AP, Hindell MA, Raymond B, Saunders RA, Walters A, Trebilco R (2023) Species distribution models describe spatial variability in mesopelagic fish abundance in the Southern Ocean. Frontiers in Marine Science. 10.3389/fmars.2022.981434","Woods BL, Trebilco R, Walters A, Hindell MA, Duhamel G, Flores H, Moteki M, Pruvost P, Reiss C, Saunders RA, Sutton C, Gan Y-M, Van de Putte AP (2022) Myctobase, a circumpolar database of mesopelagic fishes for new insights into deep pelagic prey fields. Scientific Data. 10.1038/s41597-022-01496-y"
"Xa2016-Alluroteuthis_antarcticus","Xa2016-Alluroteuthis_antarcticus_cog.tif","Alluroteuthis antarcticus","net trawls","Maxent","habitat suitability",FALSE,,0.93,"AUC",-180.05,180.05,-90.05,-39.95,0.1,0.1,"degrees","EPSG:4326",,,"CC-BY 4.0","Xavier JC, Raymond B, Jones DC, Griffiths H (2016) Biogeography of cephalopods in the Southern Ocean using habitat suitability prediction models. Ecosystems. 10.1007/s10021-015-9926-1","See reference"
"Xa2016-Bathyteuthis_abyssicola","Xa2016-Bathyteuthis_abyssicola_cog.tif","Bathyteuthis abyssicola","net trawls","Maxent","habitat suitability",FALSE,,0.91,"AUC",-180.05,180.05,-90.05,-39.95,0.1,0.1,"degrees","EPSG:4326",,,"CC-BY 4.0","Xavier JC, Raymond B, Jones DC, Griffiths H (2016) Biogeography of cephalopods in the Southern Ocean using habitat suitability prediction models. Ecosystems. 10.1007/s10021-015-9926-1","See reference"
"Xa2016-Galiteuthis_glacialis","Xa2016-Galiteuthis_glacialis_cog.tif","Galiteuthis glacialis","net trawls","Maxent","habitat suitability",FALSE,,0.88,"AUC",-180.05,180.05,-90.05,-39.95,0.1,0.1,"degrees","EPSG:4326",,,"CC-BY 4.0","Xavier JC, Raymond B, Jones DC, Griffiths H (2016) Biogeography of cephalopods in the Southern Ocean using habitat suitability prediction models. Ecosystems. 10.1007/s10021-015-9926-1","See reference"
"Xa2016-Gonatus_antarcticus","Xa2016-Gonatus_antarcticus_cog.tif","Gonatus antarcticus","net trawls","Maxent","habitat suitability",FALSE,,0.82,"AUC",-180.05,180.05,-90.05,-39.95,0.1,0.1,"degrees","EPSG:4326",,,"CC-BY 4.0","Xavier JC, Raymond B, Jones DC, Griffiths H (2016) Biogeography of cephalopods in the Southern Ocean using habitat suitability prediction models. Ecosystems. 10.1007/s10021-015-9926-1","See reference"
"Xa2016-Histioteuthis_atlantica","Xa2016-Histioteuthis_atlantica_cog.tif","Histioteuthis atlantica","net trawls","Maxent","habitat suitability",FALSE,,0.89,"AUC",-180.05,180.05,-90.05,-39.95,0.1,0.1,"degrees","EPSG:4326",,,"CC-BY 4.0","Xavier JC, Raymond B, Jones DC, Griffiths H (2016) Biogeography of cephalopods in the Southern Ocean using habitat suitability prediction models. Ecosystems. 10.1007/s10021-015-9926-1","See reference"
"Xa2016-Histioteuthis_eltaninae","Xa2016-Histioteuthis_eltaninae_cog.tif","Histioteuthis eltaninae","net trawls","Maxent","habitat suitability",FALSE,,0.9,"AUC",-180.05,180.05,-90.05,-39.95,0.1,0.1,"degrees","EPSG:4326",,,"CC-BY 4.0","Xavier JC, Raymond B, Jones DC, Griffiths H (2016) Biogeography of cephalopods in the Southern Ocean using habitat suitability prediction models. Ecosystems. 10.1007/s10021-015-9926-1","See reference"
"Xa2016-Kondakovia_longimana","Xa2016-Kondakovia_longimana_cog.tif","Kondakovia longimana","net trawls","Maxent","habitat suitability",FALSE,,0.94,"AUC",-180.05,180.05,-90.05,-39.95,0.1,0.1,"degrees","EPSG:4326",,,"CC-BY 4.0","Xavier JC, Raymond B, Jones DC, Griffiths H (2016) Biogeography of cephalopods in the Southern Ocean using habitat suitability prediction models. Ecosystems. 10.1007/s10021-015-9926-1","See reference"
"Xa2016-Doryteuthis_gahi","Xa2016-Doryteuthis_gahi_cog.tif","Doryteuthis gahi","net trawls","Maxent","habitat suitability",FALSE,,0.99,"AUC",-180.05,180.05,-90.05,-39.95,0.1,0.1,"degrees","EPSG:4326",,,"CC-BY 4.0","Xavier JC, Raymond B, Jones DC, Griffiths H (2016) Biogeography of cephalopods in the Southern Ocean using habitat suitability prediction models. Ecosystems. 10.1007/s10021-015-9926-1","See reference"
"Xa2016-Martialia_hyadesi","Xa2016-Martialia_hyadesi_cog.tif","Martialia hyadesi","net trawls","Maxent","habitat suitability",FALSE,,0.94,"AUC",-180.05,180.05,-90.05,-39.95,0.1,0.1,"degrees","EPSG:4326",,,"CC-BY 4.0","Xavier JC, Raymond B, Jones DC, Griffiths H (2016) Biogeography of cephalopods in the Southern Ocean using habitat suitability prediction models. Ecosystems. 10.1007/s10021-015-9926-1","See reference"
"Xa2016-Mesonychoteuthis_hamiltoni","Xa2016-Mesonychoteuthis_hamiltoni_cog.tif","Mesonychoteuthis hamiltoni","net trawls","Maxent","habitat suitability",FALSE,,0.92,"AUC",-180.05,180.05,-90.05,-39.95,0.1,0.1,"degrees","EPSG:4326",,,"CC-BY 4.0","Xavier JC, Raymond B, Jones DC, Griffiths H (2016) Biogeography of cephalopods in the Southern Ocean using habitat suitability prediction models. Ecosystems. 10.1007/s10021-015-9926-1","See reference"
"Xa2016-Moroteuthis_ingens","Xa2016-Moroteuthis_ingens_cog.tif","Moroteuthis ingens","net trawls","Maxent","habitat suitability",FALSE,,0.61,"AUC",-180.05,180.05,-90.05,-39.95,0.1,0.1,"degrees","EPSG:4326",,,"CC-BY 4.0","Xavier JC, Raymond B, Jones DC, Griffiths H (2016) Biogeography of cephalopods in the Southern Ocean using habitat suitability prediction models. Ecosystems. 10.1007/s10021-015-9926-1","See reference"
"Xa2016-Moroteuthis_robsoni","Xa2016-Moroteuthis_robsoni_cog.tif","Moroteuthis robsoni","net trawls","Maxent","habitat suitability",FALSE,,0.75,"AUC",-180.05,180.05,-90.05,-39.95,0.1,0.1,"degrees","EPSG:4326",,,"CC-BY 4.0","Xavier JC, Raymond B, Jones DC, Griffiths H (2016) Biogeography of cephalopods in the Southern Ocean using habitat suitability prediction models. Ecosystems. 10.1007/s10021-015-9926-1","See reference"
"Xa2016-Psychroteuthis_glacialis","Xa2016-Psychroteuthis_glacialis_cog.tif","Psychroteuthis glacialis","net trawls","Maxent","habitat suitability",FALSE,,0.93,"AUC",-180.05,180.05,-90.05,-39.95,0.1,0.1,"degrees","EPSG:4326",,,"CC-BY 4.0","Xavier JC, Raymond B, Jones DC, Griffiths H (2016) Biogeography of cephalopods in the Southern Ocean using habitat suitability prediction models. Ecosystems. 10.1007/s10021-015-9926-1","See reference"
"Xa2016-Slosarczykovia_circumantarctica","Xa2016-Slosarczykovia_circumantarctica_cog.tif","Slosarczykovia circumantarctica","net trawls","Maxent","habitat suitability",FALSE,,0.96,"AUC",-180.05,180.05,-90.05,-39.95,0.1,0.1,"degrees","EPSG:4326",,,"CC-BY 4.0","Xavier JC, Raymond B, Jones DC, Griffiths H (2016) Biogeography of cephalopods in the Southern Ocean using habitat suitability prediction models. Ecosystems. 10.1007/s10021-015-9926-1","See reference"
"Xa2016-Todarodes_filippovae","Xa2016-Todarodes_filippovae_cog.tif","Todarodes filippovae","net trawls","Maxent","habitat suitability",FALSE,,0.61,"AUC",-180.05,180.05,-90.05,-39.95,0.1,0.1,"degrees","EPSG:4326",,,"CC-BY 4.0","Xavier JC, Raymond B, Jones DC, Griffiths H (2016) Biogeography of cephalopods in the Southern Ocean using habitat suitability prediction models. Ecosystems. 10.1007/s10021-015-9926-1","See reference"
"Xa2016-Species_richness","Xa2016-Species_richness_cog.tif","Species richness","net trawls","Maxent","habitat suitability",FALSE,,,,-180.05,180.05,-90.05,-39.95,0.1,0.1,"degrees","EPSG:4326",,,"CC-BY 4.0","Xavier JC, Raymond B, Jones DC, Griffiths H (2016) Biogeography of cephalopods in the Southern Ocean using habitat suitability prediction models. Ecosystems. 10.1007/s10021-015-9926-1","See reference"