title;description;source;URL;scale;ref;owner
CHLOm;Mean long-term chlorophyll a concentration in the sea estimated using MODIS Aqua;MODIS Aqua Level-3 4-km mapped annual Chlorophyll (CHLO);http://oceancolor.gsfc.nasa.gov;~4 km;Gregg, W.W., Casey, N.W., McClain, C.R. 2005. Recent trends in global ocean chlorophyll. Geophysical Research Letters, 32.;2001-2008
CHLOs;Mean long-term chlorophyll a concentration in the sea estimated using MODIS Aqua (standard deviation);MODIS Aqua Level-3 4-km mapped annual Chlorophyll (CHLO);http://oceancolor.gsfc.nasa.gov;~4 km;Gregg, W.W., Casey, N.W., McClain, C.R. 2005. Recent trends in global ocean chlorophyll. Geophysical Research Letters, 32.;2001-2008
CLOUDFm;Mean long term Cloud fraction based on MODIS monthly images;Cloud Fraction (1 month - Terra/MODIS);http://modis-atmos.gsfc.nasa.gov/MOD35_L2/index.html;10 km;Parkinson, C.L., Greenstone, R. (eds) 2000. EOS Data Products Handbook. vol 2, NASA Goddard Space Flight Center, p. 256.;2005-2010
CLOUDFs;Standard deviation of the long term Cloud fraction based on MODIS monthly images;Cloud Fraction (1 month - Terra/MODIS);http://modis-atmos.gsfc.nasa.gov/MOD35_L2/index.html;10 km;Parkinson, C.L., Greenstone, R. (eds) 2000. EOS Data Products Handbook. vol 2, NASA Goddard Space Flight Center, p. 256.;2005-2010
FRA2000;Forest cover types based on the Forest Resources Assessment (FRA) project;Global Forest Resources Assessment (FRA) - Global Forest Cover;http://edc2.usgs.gov/glcc/fao/;30 arcsec;FAO, 2001. Global Forest Resources Assessment 2000. Series title: FAO Forestry Paper 140, Rome, FAO.;1995-2000
GSHPUB;GSHAP Global Seismic Hazard Map;Global Seismic Hazard Map;http://www.seismo.ethz.ch/gshap/;0.05 degree;Giardini, D., 1999. The Global Seismic Hazard Program: 1992-1999. Annali Geofis. vol 36.;1992-1999
IGBP;MOD12C1 17 land cover classes defined by the International Geosphere Biosphere Programme (IGBP);Land Cover Type Yearly Climate Modeling Grid (CMG);https://lpdaac.usgs.gov/lpdaac/products/modis_products_table/land_cover/yearly_l3_global_0_05deg_cmg/mod12c1;0.05 degree;Strahler, A., 1999. MODIS Land Cover Product Algorithm Theoretical Basis Document (ATBD) Version 5.0. Boston University;src. date  
IGBPm;Membership values for MOD12C1 17 land cover classes defined by the International Geosphere Biosphere Programme (IGBP);Land Cover Type Yearly Climate Modeling Grid (CMG);https://lpdaac.usgs.gov/lpdaac/products/modis_products_table/land_cover/yearly_l3_global_0_05deg_cmg/mod12c1;0.05 degree;Strahler, A., 1999. MODIS Land Cover Product Algorithm Theoretical Basis Document (ATBD) Version 5.0. Boston University;src. date  
LAIm;Mean long term Leaf Area Index (downscaled);Leaf Area Index (1 month - Terra/MODIS) MOD15A2;http://neo.sci.gsfc.nasa.gov;10 km;Y. Knyazikhin, J. Glassy, J. L. Privette, Y. Tian, A. Lotsch, Y. Zhang, Y. Wang, J. T. Morisette, P.Votava, R.B. Myneni, R. R. Nemani, S. W. Running, 1999. MODIS Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation Absorbed by Vegetation (FPAR) Product (MOD15) Algorithm Theoretical BasisDocument, http://eospso.gsfc.nasa.gov/atbd/modistables.html.;2000-2010
LAIs;Mean long term Leaf Area Index (standard deviation);Leaf Area Index (1 month - Terra/MODIS) MOD15A2;http://neo.sci.gsfc.nasa.gov;10 km;Y. Knyazikhin, J. Glassy, J. L. Privette, Y. Tian, A. Lotsch, Y. Zhang, Y. Wang, J. T. Morisette, P.Votava, R.B. Myneni, R. R. Nemani, S. W. Running, 1999. MODIS Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation Absorbed by Vegetation (FPAR) Product (MOD15) Algorithm Theoretical BasisDocument, http://eospso.gsfc.nasa.gov/atbd/modistables.html.;2000-2010
LISOTD;Lightning combined Flash Rate;LIS/OTD 0.5 Degree High Resolution Full Climatology (HRFC);http://thunder.msfc.nasa.gov/;50 km;Christian, HJ et al 2003. Global frequency and distribution of lightning as observed by the Optical Transient Detector. J. Geophys. Res, 108 4005.;1998-2005
LSTDm;Mean Day-time MODIS Land Surface Temperature based on the monthly LST images;MODIS Land Surface Temperature 5600 m Monthly images (Monthly L3 Global 0.05Deg CMG);https://lpdaac.usgs.gov/lpdaac/products/modis_products_table/land_surface_temperature_emissivity/monthly_l3_global_0_05deg_cmg/mod11c3;250 m;biblio reference;2008-2009
LSTDs;Deviation of the Day-time MODIS Land Surface Temperature based on the monthly LST images;MODIS Land Surface Temperature 5600 m Monthly images (Monthly L3 Global 0.05Deg CMG);https://lpdaac.usgs.gov/lpdaac/products/modis_products_table/land_surface_temperature_emissivity/monthly_l3_global_0_05deg_cmg/mod11c3;250 m;biblio reference;2008-2009
LSTNm;Mean Night-time MODIS Land Surface Temperature based on the monthly LST images;MODIS Land Surface Temperature 5600 m Monthly images (Monthly L3 Global 0.05Deg CMG);https://lpdaac.usgs.gov/lpdaac/products/modis_products_table/land_surface_temperature_emissivity/monthly_l3_global_0_05deg_cmg/mod11c3;250 m;biblio reference;2008-2009
LSTNs;Deviation of the Night-time MODIS Land Surface Temperature based on the monthly LST images;MODIS Land Surface Temperature 5600 m Monthly images (Monthly L3 Global 0.05Deg CMG);https://lpdaac.usgs.gov/lpdaac/products/modis_products_table/land_surface_temperature_emissivity/monthly_l3_global_0_05deg_cmg/mod11c3;250 m;biblio reference;2008-2009
PCEVI1;EVI Principal Component #1;Vegetation Indices Monthly L3 Global 0.05Deg CMG;https://lpdaac.usgs.gov/lpdaac/products/modis_products_table/vegetation_indices/monthly_l3_global_0_05deg_cmg/v5/terra;250 m;Huete, A., Didan, K., Miura, T., Rodriguez, E.P., Gao, X., Ferreira, L.G., 2002. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment, 83: 195–213. ;2001-2009
PCEVI2;EVI Principal Component #2;Vegetation Indices Monthly L3 Global 0.05Deg CMG;https://lpdaac.usgs.gov/lpdaac/products/modis_products_table/vegetation_indices/monthly_l3_global_0_05deg_cmg/v5/terra;250 m;Huete, A., Didan, K., Miura, T., Rodriguez, E.P., Gao, X., Ferreira, L.G., 2002. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment, 83: 195–213. ;2001-2009
PCEVI3;EVI Principal Component #3;Vegetation Indices Monthly L3 Global 0.05Deg CMG;https://lpdaac.usgs.gov/lpdaac/products/modis_products_table/vegetation_indices/monthly_l3_global_0_05deg_cmg/v5/terra;250 m;Huete, A., Didan, K., Miura, T., Rodriguez, E.P., Gao, X., Ferreira, L.G., 2002. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment, 83: 195–213. ;2001-2009
PCEVI1;EVI Principal Component #4;Vegetation Indices Monthly L3 Global 0.05Deg CMG;https://lpdaac.usgs.gov/lpdaac/products/modis_products_table/vegetation_indices/monthly_l3_global_0_05deg_cmg/v5/terra;250 m;Huete, A., Didan, K., Miura, T., Rodriguez, E.P., Gao, X., Ferreira, L.G., 2002. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment, 83: 195–213. ;2001-2009
PHH2Oreg;Soil mean pH measured in H2O and predicted using correlation with worldmaps;Soil pH estimated using ISRIC WISE soil profile data;http://globalsoilmap.org;5 km;Hengl, T., Batjes, N., MacMillan, R.A., Hartemink, A., 2011? Information facilities for Global Soil Resource Assessment: an introduction. in review.;Day-Month-Year
PRECm;Precipitation estimated based on the GSMaP;Global Satellite Mapping of Precipitation MVK+;http://sharaku.eorc.jaxa.jp/GSMaP_crest/;3000;Kubota, T., Shige, S., Hashizume, H., Aonashi, K., Takahashi, N., Seto, S., Hirose, M., Takayabu, Y. N., Nakagawa, K., Iwanami, K., Ushio, T., Kachi, M., and Okamoto, K., 2007. Global Precipitation Map using Satelliteborne Microwave Radiometers by the GSMaP Project: Production and Validation. IEEE Trans. Geosci. Remote Sens., 45(7), 2259-2275.;2003-2006
SNOWCm;Mean long term snow coverage fraction based on MODIS monthly images;Snow Cover (1 month - Terra/MODIS);http://modis-snow-ice.gsfc.nasa.gov;10 km;Hall, D.K. and G.A. Riggs, 2007: Accuracy assessment of the MODIS snow-cover products, Hydrological Processes, 21:1534-1547.;2000-2010
SNOWCs;Standard deviation of the long term snow coverage fraction based on MODIS monthly images;Snow Cover (1 month - Terra/MODIS);http://modis-snow-ice.gsfc.nasa.gov;10 km;Hall, D.K. and G.A. Riggs, 2007: Accuracy assessment of the MODIS snow-cover products, Hydrological Processes, 21:1534-1547.;2000-2010
SOC;Soil Organic Carbon in kg/m^3 of soil;Soil Organic Carbon Map;http://soils.usda.gov/use/worldsoils/mapindex/soc.html;1:5,000,000;FAO-UNESCO, Soil Map of the World, digitized by ESRI. Soil climate map, USDA-NRCS, Soil Survey Division, World Soil Resources, Washington D.C.;2000
SSTm;Mean long-term sea surface temperature estimated using MODIS Aqua;MODIS Aqua Global Level 3 Mapped mid-IR SST ;http://oceancolor.gsfc.nasa.gov;~4 km;Brown, O.B., and P.J. Minnett, 1999. MODIS Infrared Sea Surface Temperature Algorithm Theoretical Basis Document, Ver 2.0;2001-2008
SSTs;Mean long-term sea surface temperature estimated using MODIS Aqua (standard deviation);MODIS Aqua Global Level 3 Mapped mid-IR SST ;http://oceancolor.gsfc.nasa.gov;~4 km;Brown, O.B., and P.J. Minnett, 1999. MODIS Infrared Sea Surface Temperature Algorithm Theoretical Basis Document, Ver 2.0;2001-2008
airports;World airports type (civilian/military);Global Airports DAFIF;http://www.pdc.org/geodata/world/airports_dafif.zip;NA;NA;2003
airroute;Estimated density of airline routes;Airport, airline and route data;http://openflights.org/data.html;NA;NA;April-2010
anthroms;Anthropogenic biomes of the World;Anthropogenic Biomes (18 classes);http://www.eoearth.org/article/Anthropogenic_biome_maps;1:5000,000;Ellis, E.C., Ramankutty, N. (2008) Putting people in the map: anthropogenic biomes of the world. Frontiers in Ecology and the Environment: Vol. 6, No. 8, pp. 439-447.;2007
baresoil;Bare soil area coverage based on the MERIS FR images;GlobCover Land Cover version V2.2;http://ionia1.esrin.esa.int;300 m;Bicheron, P. et al. 2008. GLOBCOVER: Products Description and Validation Report. MEDIAS France, Toulouse, 47 p.;2000-2005
biocl01;Annual Mean Temperature;WORLDCLIM Version 1.4;http://worldclim.org;1000 m;Hijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25:1965-1978.;1960-1990
biocl12;Annual Precipitation;WORLDCLIM Version 1.4;http://worldclim.org;1000 m;Hijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25:1965-1978.;1960-1990
biocl15;Precipitation Seasonality (Coefficient of Variation);WORLDCLIM Version 1.4;http://worldclim.org;1000 m;Hijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25:1965-1978.;1960-1990
biocl02;Mean Diurnal Range (Mean of monthly (max temp - min temp));WORLDCLIM Version 1.4;http://worldclim.org;1000 m;Hijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25:1965-1978.;1960-1990
biocl04;Temperature Seasonality (standard deviation *100);WORLDCLIM Version 1.4;http://worldclim.org;1000 m;Hijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25:1965-1978.;1960-1990
biocl05;Max Temperature of Warmest Month;WORLDCLIM Version 1.4;http://worldclim.org;1000 m;Hijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25:1965-1978.;1960-1990
biocl06;Min Temperature of Coldest Month;WORLDCLIM Version 1.4;http://worldclim.org;1000 m;Hijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25:1965-1978.;1960-1990
burned;Burned vegetation for years 2002-2004;MODIS Vegetative Cover Conversion;http://www.landcover.org/data/vcc/;1 km;Zhan, X., Sohlber, R., Townshend, R.A., DiMiceli, C.M., Carroll, M.L., Eastman, J.C., Hansen, M.C., Defries, R.S., 2002. Detection of land cover changes using MODIS 250 meter data. Remote sensing of Environment, 83:336-350.;2002-2004
cforest;Closed forests coverage based on the Forest Resources Assessment (FRA) project;Global Forest Resources Assessment (FRA) - Global Forest Cover;http://edc2.usgs.gov/glcc/fao/;30 arcsec;FAO, 2001. Global Forest Resources Assessment 2000. Series title: FAO Forestry Paper 140, Rome, FAO.;1995-2000
countries;World countries based on GADM level 0;Global Administrative Areas (GADM) version 0.9;http://www.gadm.org/world;1:200,000;NA;2009
dcoast;Distance from the sea coast line;World Vector Shoreline;http://rimmer.ngdc.noaa.gov/mgg/coast/wvs.html;1:250,000;Soluri, E.A., and Woodson, V.A., 1990. World Vector Shoreline. International Hydrographic Review, LXVII(1).;2006
ecoflor;Ecofloristic zones;Global Ecofloristic Zones (FAO);http://cdiac.ornl.gov/ftp/global_carbon/;1:5000,000;FAO (2001): Global Ecological Zoning for the Global Forest Resources Assessment 2000. FAO, Rome.;2001
fforest;Open or fragmented forests coverage based on the Forest Resources Assessment (FRA) project;Global Forest Resources Assessment (FRA) - Global Forest Cover;http://edc2.usgs.gov/glcc/fao/;30 arcsec;FAO, 2001. Global Forest Resources Assessment 2000. Series title: FAO Forestry Paper 140, Rome, FAO.;1995-2000
forestd;Global Forest Density based on the Forest Resources Assessment (FRA) project;Global Forest Resources Assessment (FRA) - Global Forest Density;http://edc2.usgs.gov/glcc/fao/;30 arcsec;FAO, 2001. Global Forest Resources Assessment 2000. Series title: FAO Forestry Paper 140, Rome, FAO.;1995-2000
gaccessm;Estimated travel time to major cities (>50k) in hours;A global map of Accessibility;http://bioval.jrc.ec.europa.eu/products/gam/;1 km;Nelson, A., 2008. Travel time to the nearest city of 50,000 or more people in year 2000. Global Environment Monitoring Unit - Joint Research Centre of the European Commission, Ispra, Italy. ;2008
gcarb;Global Biomass Carbon Map;New IPCC Tier-1 Global Biomass Carbon Map for the Year 2000;http://cdiac.ornl.gov/epubs/ndp/global_carbon/carbon_documentation.html;15 km;Ruesch, Aaron, and Holly K. Gibbs. 2008. New IPCC Tier-1 Global Biomass Carbon Map For the Year 2000. Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, Oak Ridge, Tennessee.;2008
glc2000;Land Cover classes for year 2000 based on the SPOT VEGA2000 dataset;Global Land Cover 2000;http://bioval.jrc.ec.europa.eu/products/glc2000/glc2000.php;1000 m;Fritz, S. et al. 2003. Harmonisation, mosaicing and production of the Global Land Cover 2000 database. JRC report EUR 20849 EN, Luxembourg, 41 p.;2000
glcrop;Cropland areas in 1992 ;1992 Croplands Dataset ;http://www.sage.wisc.edu/download/crop92/croplands.html;5 arcminutes;Ramankutty, N., Foley, J.A. 1998. Characterizing patterns of global land use: an analysis of global croplands data. Global Biogeochemical Cycles 12(4), 667-685.;1992
globcov;Land Cover classes based on the MERIS FR images;GlobCover Land Cover version V2.2;http://ionia1.esrin.esa.int;300 m;Bicheron, P. et al. 2008. GLOBCOVER: Products Description and Validation Report. MEDIAS France, Toulouse, 47 p.;2000-2005
globedem;Global Relief Model based on SRTM 30+ and ETOPO DEM ;SRTM 30+ / ETOPO1 Global Relief Model ;http://topex.ucsd.edu/WWW_html/srtm30_plus.html / http://ngdc.noaa.gov/mgg/global/global.html;1000 m;Amante, C., Eakins, B. W., 2008. ETOPO1 1 Arc-Minute Global Relief Model: Procedures, Data Sources and Analysis. National Geophysical Data Center, NESDIS, NOAA, U.S. Department of Commerce, Boulder, CO.;2009
glwd31;Global Lakes and Wetlands;Global Lakes and Wetlands v3.1;http://www.worldwildlife.org/science/data/item1877.html;1000 m;Lehner, B., Doll, P., 2004. Development and validation of a global database of lakes, reservoirs and wetlands. Journal of Hydrology 296(1-4):1-22.;2003
gmia;Global map of area equipped for irrigation expressed as percentage of total area ;Global Map of Irrigation Areas version 4.0.1 ;http://www.fao.org/nr/water/aquastat/irrigationmap/index10.stm;5 arcminutes;Stefan Siebert, Petra Döll, Sebastian Feick, Jippe Hoogeveen and Karen Frenken (2007) Global Map of Irrigation Areas version 4.0.1. Johann Wolfgang Goethe University, Frankfurt am Main, Germany / Food and Agriculture Organization of the United Nations, Rome, Italy.;2007
himpact;Areas of human impacts on the Biosphere (roads, railways and settlement density).;Human Impacts on the Biosphere (aggregated map);http://globio.info;1 km;United Nations Environment Programme, 2002. Global environment outlook 3;src. date  
hwsd;Soil groups based on FAO HWSD;Harmonized World Soil Database v 1.1 (37 classes);http://www.fao.org/nr/water/news/soil-db.html;1:5000,000;FAO/IIASA/ISRIC/ISSCAS/JRC, 2009. Harmonized World Soil Database (version 1.1). FAO, Rome, Italy and IIASA, Laxenburg, Austria.;2009
hwsdmu;Soil mapping units and number of soil attributes based on FAO HWSD;Harmonized World Soil Database v 1.1 (37 classes);http://www.fao.org/nr/water/news/soil-db.html;1:5000,000;FAO/IIASA/ISRIC/ISSCAS/JRC, 2009. Harmonized World Soil Database (version 1.1). FAO, Rome, Italy and IIASA, Laxenburg, Austria.;2009
hydrma;Mean annual concentration of hydrogen isotopes in precipitation;GNIP, the Global Network for Isotopes in Precipitation;http://www.waterisotopes.org;1:5,000,000;Bowen, G.J., Revenaugh, J. 2003. Interpolating the isotopic composition of modern meteoric precipitation. Water Resources Research 39, 1299, doi:10.129/2003WR002086;2008
iflworld;The world map of intact forest landscapes;The world map of intact forest landscapes;http://www.intactforests.org;1:1,000,000;Potapov, P. et al. 2008. Mapping the world’s intact forest landscapes by remote sensing. Ecology and Society 13(2):51.;2000-2006
landcov;Land cover map of the world (1981-1995) based on the AVHRR images;UMD Global Land Cover Classification;http://www.landcover.org;1000 m;Hansen, M., DeFries, R., Townshend,  J.R.G., Sohlberg, R., 2000. Global land cover classification at 1km resolution using a decision tree classifier. International Journal of Remote Sensing. 21:1331-1365.;1981-1995
landmask;Land mask of the world based on the GSHHS data;Global GSHHS Land-Water Mask in Shapefile Format v2;http://www.ngdc.noaa.gov/mgg/shorelines/gshhs.html;1:125,000;Wessel, P., and W. H. F. Smith, 1996. A Global Self-consistent, Hierarchical, High-resolution Shoreline Database. Journal of Geophysical Research, 101, 8741-8743.;2000
modfires;Year of MODIS estimated fire;The World Historical Large Wildfires;http://www.pdc.org/geodata/world/wildfires.zip;1000 m;NA;2000 to 2008
nlights;World stable lights;World stable lights;http://ngdc.noaa.gov/dmsp/;1000 m;Small, C., Pozzi, F. and Elvidge, C.D., 2005. Spatial analysis of global urban extent from DMSP-OLS nighttime lights. Remote Sensing of Environment v. 96:277-291.;2009
oxygma;Mean annual concentration of oxygen isotopes in precipitation;GNIP, the Global Network for Isotopes in Precipitation;http://www.waterisotopes.org;1:5,000,000;Bowen, G.J., Revenaugh, J. 2003. Interpolating the isotopic composition of modern meteoric precipitation. Water Resources Research 39, 1299, doi:10.129/2003WR002086;2008
pcnligh1;PC #1 from the World stable night lights time series;World stable lights;http://ngdc.noaa.gov/dmsp/;1000 m;Small, C., Pozzi, F. and Elvidge, C.D., 2005. Spatial analysis of global urban extent from DMSP-OLS nighttime lights. Remote Sensing of Environment v. 96:277-291.;1992-2009
pcnligh2;PC #2 from the World stable night lights time series;World stable lights;http://ngdc.noaa.gov/dmsp/;1000 m;Small, C., Pozzi, F. and Elvidge, C.D., 2005. Spatial analysis of global urban extent from DMSP-OLS nighttime lights. Remote Sensing of Environment v. 96:277-291.;1992-2009
pcpopd1;Long-term population density map (PC1);Gridded Population of the World, version 3 (GPWv3);http://sedac.ciesin.columbia.edu/gpw;1 km;Center for International Earth Science Information Network (CIESIN), Columbia University; United Nations Food and Agriculture Programme (FAO); and Centro Internacional de Agricultura Tropical (CIAT). 2005. Gridded Population of the World: Future Estimates (GPWFE). Palisades, NY: Socioeconomic Data and Applications Center (SEDAC), Columbia University. Available at http://sedac.ciesin.columbia.edu/gpw.;1990–2015
pcpopd2;Population change index (PC2);Gridded Population of the World, version 3 (GPWv3);http://sedac.ciesin.columbia.edu/gpw;1 km;Center for International Earth Science Information Network (CIESIN), Columbia University; United Nations Food and Agriculture Programme (FAO); and Centro Internacional de Agricultura Tropical (CIAT). 2005. Gridded Population of the World: Future Estimates (GPWFE). Palisades, NY: Socioeconomic Data and Applications Center (SEDAC), Columbia University. Available at http://sedac.ciesin.columbia.edu/gpw.;1990–2015
peatland;Bog, Fen, Mire (Peatland);Global Lakes and Wetlands v3.1;http://www.worldwildlife.org/science/data/item1877.html;1000 m;Lehner, B., Doll, P., 2004. Development and validation of a global database of lakes, reservoirs and wetlands. Journal of Hydrology 296(1-4):1-22.;2003
quakein;Kernel density of earthquake intensity (magnitude);NOAA's Global Significant Earthquake Database;http://ngdc.noaa.gov/hazard/earthqk.shtml;500 m;NA;-2150 to 2007
rcrops;Rainfed croplands coverage based on the MERIS FR images;GlobCover Land Cover version V2.2;http://ionia1.esrin.esa.int;300 m;Bicheron, P. et al. 2008. GLOBCOVER: Products Description and Validation Report. MEDIAS France, Toulouse, 47 p.;2000-2005
shipping;Shipping density (commercial);A Global Map of Human Impacts to Marine Ecosystems ;http://www.nceas.ucsb.edu/globalmarine/impacts;1 km;Halpern, B.S., et al. 2008. A Global Map of Human Impact on Marine Ecosystems. Science 319(5865):948-952. http://dx.doi.org/10.1126/science.1149345;2008
slope;Slope map based on SRTM 30+ and ETOPO DEM ;SRTM 30+ / ETOPO1 Global Relief Model ;http://topex.ucsd.edu/WWW_html/srtm30_plus.html / http://ngdc.noaa.gov/mgg/global/global.html;1000 m;Amante, C., Eakins, B. W., 2008. ETOPO1 1 Arc-Minute Global Relief Model: Procedures, Data Sources and Analysis. National Geophysical Data Center, NESDIS, NOAA, U.S. Department of Commerce, Boulder, CO.;2009
soilmask;Soil areas mask;Leaf Area Index (1 month - Terra/MODIS) MOD15A2;http://neo.sci.gsfc.nasa.gov;10 km;Y. Knyazikhin, J. Glassy, J. L. Privette, Y. Tian, A. Lotsch, Y. Zhang, Y. Wang, J. T. Morisette, P.Votava, R.B. Myneni, R. R. Nemani, S. W. Running, 1999. MODIS Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation Absorbed by Vegetation (FPAR) Product (MOD15) Algorithm Theoretical BasisDocument, http://eospso.gsfc.nasa.gov/atbd/modistables.html.;2000-2010
soiltype;KST Global Soil Regions;USGS Soil Taxonomy Suborders;http://soils.usda.gov/use/worldsoils/mapindex/;1:5,000,000;Reich, P., 2005. FAO-UNESCO Soil Map of the World, digitized by ESRI. Soil climate map, USDA-NRCS, Soil Survey Division, World Soil Resources, Washington D.C.;2005
stormtr;Density of Tropical Cyclone Storm Tracks (historical);Historical Tropical Cyclone Storm Tracks;http://www.pdc.org/geodata/world/stormtracks.zip;1000 m;NA;1945 to 2008
swamp;Swamp Forest, Flooded Forest;Global Lakes and Wetlands v3.1;http://www.worldwildlife.org/science/data/item1877.html;1000 m;Lehner, B., Doll, P., 2004. Development and validation of a global database of lakes, reservoirs and wetlands. Journal of Hydrology 296(1-4):1-22.;2003
treecov;Continuous Fields Tree Cover for 1992-1993;AVHRR Continuous Fields Tree Cover;http://www.landcover.org/data/treecover/;1 km;DeFries, R., M. Hansen, J.R.G. Townshend, A.C. Janetos, and T.R. Loveland (2000) A new global 1km data set of percent tree cover derived from remote sensing. Global Change Biology. 6: 247-254.;1992-1993
wildness;World wilderness areas;World Wilderness Areas data set;http://geodata.grid.unep.ch/;1:1,000,000;McCloskey, J.M. and H. Spalding, 1989. A reconnaissance level inventory of the amount of wilderness remaining in the world. Ambio, 18(4):221-227.;1998
wooded;Other wooded land coverage based on the Forest Resources Assessment (FRA) project;Global Forest Resources Assessment (FRA) - Global Forest Cover;http://edc2.usgs.gov/glcc/fao/;30 arcsec;FAO, 2001. Global Forest Resources Assessment 2000. Series title: FAO Forestry Paper 140, Rome, FAO.;1995-2000
wwfeco;Terrestrial ecoregions;WWF - Ecoregions - Terrestrial Ecoregions;http://www.worldwildlife.org/science/ecoregions/item1267.html;1:5,000,000;Olson, D. M., et al., 2001. Terrestrial Ecoregions of the World - A New Map of Life on Earth. BioScience 51:933-938.;2001