WMS A compliant implementation of WMS plus most of the SLD extension (dynamic styling). Can also generate PDF, SVG, KML, GeoRSS WFS WMS GEOSERVER CIESIN User Services CIESIN, Columbia University Work

ciesin.info@ciesin.columbia.edu NONE NONE text/xml image/png application/atom+xml application/pdf application/vnd.google-earth.kml+xml application/vnd.google-earth.kml+xml;mode=networklink application/vnd.google-earth.kmz image/geotiff image/geotiff8 image/gif image/jpeg image/png; mode=8bit image/svg+xml image/tiff image/tiff8 text/plain application/vnd.ogc.gml text/html XML INIMAGE BLANK A compliant implementation of WMS plus most of the SLD extension (dynamic styling). Can also generate PDF, SVG, KML, GeoRSS AUTO:42001 AUTO:42002 AUTO:42003 AUTO:42004 EPSG:WGS84(DD) EPSG:2000 EPSG:2001 EPSG:2002 EPSG:2003 EPSG:2004 EPSG:2005 EPSG:2006 EPSG:2007 EPSG:2008 EPSG:2009 EPSG:2010 EPSG:2011 EPSG:2012 EPSG:2013 EPSG:2014 EPSG:2015 EPSG:2016 EPSG:2017 EPSG:2018 EPSG:2019 EPSG:2020 EPSG:2021 EPSG:2022 EPSG:2023 EPSG:2024 EPSG:2025 EPSG:2026 EPSG:2027 EPSG:2028 EPSG:2029 EPSG:2030 EPSG:2031 EPSG:2032 EPSG:2033 EPSG:2034 EPSG:2035 EPSG:2036 EPSG:2037 EPSG:2038 EPSG:2039 EPSG:2040 EPSG:2041 EPSG:2042 EPSG:2043 EPSG:2044 EPSG:2045 EPSG:2046 EPSG:2047 EPSG:2048 EPSG:2049 EPSG:2050 EPSG:2051 EPSG:2052 EPSG:2053 EPSG:2054 EPSG:2055 EPSG:2056 EPSG:2057 EPSG:2058 EPSG:2059 EPSG:2060 EPSG:2061 EPSG:2062 EPSG:2063 EPSG:2064 EPSG:2065 EPSG:2066 EPSG:2067 EPSG:2068 EPSG:2069 EPSG:2070 EPSG:2071 EPSG:2072 EPSG:2073 EPSG:2074 EPSG:2075 EPSG:2076 EPSG:2077 EPSG:2078 EPSG:2079 EPSG:2080 EPSG:2081 EPSG:2082 EPSG:2083 EPSG:2084 EPSG:2085 EPSG:2086 EPSG:2087 EPSG:2088 EPSG:2089 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EPSG:61306413 EPSG:61316405 EPSG:61326405 EPSG:61336405 EPSG:61346405 EPSG:61356405 EPSG:61366405 EPSG:61376405 EPSG:61386405 EPSG:61396405 EPSG:61406405 EPSG:61406413 EPSG:61416405 EPSG:61426405 EPSG:61436405 EPSG:61446405 EPSG:61456405 EPSG:61466405 EPSG:61476405 EPSG:61486405 EPSG:61486413 EPSG:61496405 EPSG:61506405 EPSG:61516405 EPSG:61516413 EPSG:61526405 EPSG:61526413 EPSG:61536405 EPSG:61546405 EPSG:61556405 EPSG:61566405 EPSG:61576405 EPSG:61586405 EPSG:61596405 EPSG:61606405 EPSG:61616405 EPSG:61626405 EPSG:61636405 EPSG:61636413 EPSG:61646405 EPSG:61656405 EPSG:61666405 EPSG:61676405 EPSG:61676413 EPSG:61686405 EPSG:61696405 EPSG:61706405 EPSG:61706413 EPSG:61716405 EPSG:61716413 EPSG:61736405 EPSG:61736413 EPSG:61746405 EPSG:61756405 EPSG:61766405 EPSG:61766413 EPSG:61786405 EPSG:61796405 EPSG:61806405 EPSG:61806413 EPSG:61816405 EPSG:61826405 EPSG:61836405 EPSG:61846405 EPSG:61886405 EPSG:61896405 EPSG:61896413 EPSG:61906405 EPSG:61906413 EPSG:61916405 EPSG:61926405 EPSG:61936405 EPSG:61946405 EPSG:61956405 EPSG:61966405 EPSG:61976405 EPSG:61986405 EPSG:61996405 EPSG:62006405 EPSG:62016405 EPSG:62026405 EPSG:62036405 EPSG:62046405 EPSG:62056405 EPSG:62066405 EPSG:62076405 EPSG:62086405 EPSG:62096405 EPSG:62106405 EPSG:62116405 EPSG:62126405 EPSG:62136405 EPSG:62146405 EPSG:62156405 EPSG:62166405 EPSG:62186405 EPSG:62196405 EPSG:62206405 EPSG:62216405 EPSG:62226405 EPSG:62236405 EPSG:62246405 EPSG:62256405 EPSG:62276405 EPSG:62296405 EPSG:62306405 EPSG:62316405 EPSG:62326405 EPSG:62336405 EPSG:62366405 EPSG:62376405 EPSG:62386405 EPSG:62396405 EPSG:62406405 EPSG:62416405 EPSG:62426405 EPSG:62436405 EPSG:62446405 EPSG:62456405 EPSG:62466405 EPSG:62476405 EPSG:62486405 EPSG:62496405 EPSG:62506405 EPSG:62516405 EPSG:62526405 EPSG:62536405 EPSG:62546405 EPSG:62556405 EPSG:62566405 EPSG:62576405 EPSG:62586405 EPSG:62586413 EPSG:62596405 EPSG:62616405 EPSG:62626405 EPSG:62636405 EPSG:62646405 EPSG:62656405 EPSG:62666405 EPSG:62676405 EPSG:62686405 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EPSG:66076405 EPSG:66086405 EPSG:66096405 EPSG:66106405 EPSG:66116405 EPSG:66126405 EPSG:66126413 EPSG:66136405 EPSG:66146405 EPSG:66156405 EPSG:66166405 EPSG:66186405 EPSG:66196405 EPSG:66196413 EPSG:66206405 EPSG:66216405 EPSG:66226405 EPSG:66236405 EPSG:66246405 EPSG:66246413 EPSG:66256405 EPSG:66266405 EPSG:66276405 EPSG:66276413 EPSG:66286405 EPSG:66296405 EPSG:66306405 EPSG:66316405 EPSG:66326405 EPSG:66336405 EPSG:66346405 EPSG:66356405 EPSG:66366405 EPSG:66376405 EPSG:66386405 EPSG:66396405 EPSG:66406405 EPSG:66406413 EPSG:66416405 EPSG:66426405 EPSG:66436405 EPSG:66446405 EPSG:66456405 EPSG:66456413 EPSG:66466405 EPSG:66576405 EPSG:66586405 EPSG:66596405 EPSG:66596413 EPSG:66606405 EPSG:66616405 EPSG:66616413 EPSG:66636405 EPSG:66646405 EPSG:66656405 EPSG:66666405 EPSG:66676405 EPSG:68016405 EPSG:68026405 EPSG:68036405 EPSG:68046405 EPSG:68056405 EPSG:68066405 EPSG:68086405 EPSG:68096405 EPSG:68136405 EPSG:68146405 EPSG:68156405 EPSG:68186405 EPSG:68206405 EPSG:69036405 EPSG:42302 EPSG:42301 EPSG:900913 EPSG:45556 EPSG:45555 EPSG:54004 EPSG:41001 EPSG:42311 EPSG:42310 EPSG:18001 EPSG:100003 EPSG:42106 EPSG:100002 EPSG:42105 EPSG:100001 EPSG:42309 EPSG:42104 EPSG:42308 EPSG:42103 EPSG:42307 EPSG:42102 EPSG:42306 EPSG:42101 EPSG:42305 EPSG:42304 EPSG:42303 CRS:84 -182.0 192.003 -90.0 90.00216808718802 cartographic:00-global-labels EPSG:4326 CRS:84 -177.225 178.45 -51.741 78.877 cartographic:00-gpw-v3-national-admin-boundaries National Boundaries Medium Scale represents medium resolution administrative boundaries for 231 world countries. This data was derived by the GPWv3 project and has been designed be visible at scales between 20 Arc Minutes and 2 Arc Minutes. EPSG:4326 CRS:84 -180.0 180.0 -55.792 83.667 cartographic:00-gpw-v3-national-admin-boundaries_generalized National Boundaries Small Scale represent low resolution generalized administrative boundaries for 231 world countries. This data was derived through the generalization of GPWv3 National Boundaries and designed to be viewed at scales smaller than 20 Arc Minutes EPSG:4326 CRS:84 -180.0 180.0 -55.792 83.625 cartographic:00-grump-v1-national-admin-boundaries National Boundaries Large Scale represents high resolution administrative boundaries for 231 world countries. This data was derived by the GRUMP Beta project and has been designed be visible at scales larger than 2 Arc Minutes. EPSG:4326 CRS:84 -180.0 180.0 -55.767 83.633 aglands:aglands-croplands-2000 The Global Croplands dataset represents the proportion of land areas used as cropland (land used for the cultivation of food) in the year 2000. Satellite data from Modetate Resolution Imaging Spectroradiometer (MODIS) and Satellite Pour l'Observation de la Terre (SPOT) Image Vegetation sensor were combined with agricultural inventory data to create a global data set. The visual presentation of this data demonstrates the extent to which human land use for agriculture has changed the Earth and in which areas this change is most intense. The data was compiled by Navin Ramankutty , et. al. (2008) and distributed by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF cropland EPSG:4326 CRS:84 -180.0 179.978 -90.0 89.989 aglands:aglands-pastures-2000 The Global Pastures dataset represents the proportion of land areas used as pasture land (land used to support grazing animals) in the year 2000. Satellite data from Modetate Resolution Imaging Spectroradiometer (MODIS) and Satellite Pour l'Observation de la Terre (SPOT) Image Vegetation sensor were combined with agricultural inventory data to create a global data set. The visual presentation of this data demonstrates the extent to which human land use for agriculture has changed the Earth and in which areas this change is most intense. The data was compiled by Navin Ramankutty, et. al. (2008) and distributed by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF pasture EPSG:4326 CRS:84 -180.0 179.978 -90.0 89.989 anthromes:anthromes-anthropogenic-biomes-world-v1 WCS GeoTIFF anthromes-anthropogenic-biomes-world-v1 EPSG:4326 CRS:84 -180.0 180.0 -55.75 83.083 crop-climate:crop-climate-effects-climate-global-food-production These layers look at the effects of climate change on global food production under SRES emissions and socio-economic scenarios. This layer illustrates an aggregated total of maize, rice, and wheat produced in each country from 2000 to 2006 in tons in each of the countries (FAO). EPSG:4326 CRS:84 -180.0 180.0 -55.767 83.633 epi:epi-environmental-performance-index-2010 The 2010 Environmental Performance Index (EPI) ranks 163 countries on 25 performance indicators tracked across ten well-established policy categories covering both environmental public health and ecosystem vitality. These indicators provide a gauge at a national government scale of how close countries are to established environmental policy goals. This proximity-to-target methodology facilitates cross-country comparisons as well as analysis of how the global community performs collectively on each particular policy issue. In this dataset scores of 100 are on target and scores of 0 show areas that require improvement. EPSG:4326 CRS:84 -180.0 180.0 -55.792 83.667 epi:epi-environmental-performance-index-2010_agriculture The 2010 Environmental Performance Index (EPI) ranks 163 countries on 25 performance indicators tracked across ten well-established policy categories covering both environmental public health and ecosystem vitality. These indicators provide a gauge at a national government scale of how close countries are to established environmental policy goals. This proximity-to-target methodology facilitates cross-country comparisons as well as analysis of how the global community performs collectively on each particular policy issue. In this dataset scores of 100 are on target and scores of 0 show areas that require improvement. For the Agriculture category, we applied principal component analysis (PCA) to determine the weighting for the component indicators. Pesticide Regulation (PEST) received 50% of the policy category weight, Agricultural Subsidies (AGSUB) received 30%, and Agriculture Water Intensity (AGWAT) the remaining 20%. PEST and AGSUB indicators were required in order to calculate the policy category score. EPSG:4326 CRS:84 -180.0 180.0 -55.792 83.667 epi:epi-environmental-performance-index-2010_air-pollution-effects-on-ecosystems The 2010 Environmental Performance Index (EPI) ranks 163 countries on 25 performance indicators tracked across ten well-established policy categories covering both environmental public health and ecosystem vitality. These indicators provide a gauge at a national government scale of how close countries are to established environmental policy goals. This proximity-to-target methodology facilitates cross-country comparisons as well as analysis of how the global community performs collectively on each particular policy issue. In this dataset scores of 100 are on target and scores of 0 show areas that require improvement. For the Air Pollution (effects on ecosystems) category, we had data on ozone exceedences for all countries, and we required that there be data for Sulfur Dioxide (SO2) because of its multiple environmental impacts. If data for any of the other air pollutants was missing, we averaged around them. EPSG:4326 CRS:84 -180.0 180.0 -55.792 83.667 epi:epi-environmental-performance-index-2010_air-pollution-effects-on-human-health The 2010 Environmental Performance Index (EPI) ranks 163 countries on 25 performance indicators tracked across ten well-established policy categories covering both environmental public health and ecosystem vitality. These indicators provide a gauge at a national government scale of how close countries are to established environmental policy goals. This proximity-to-target methodology facilitates cross-country comparisons as well as analysis of how the global community performs collectively on each particular policy issue. In this dataset scores of 100 are on target and scores of 0 show areas that require improvement. The effects of Air Pollution on human health comprise a portion of the Environmental Health objective and is allocated an eighth of the total score. Within Air Pollution (effects on humans) the constituent indicators are equally weighted. EPSG:4326 CRS:84 -180.0 180.0 -55.792 83.667 epi:epi-environmental-performance-index-2010_biodiversity-and-habitat The 2010 Environmental Performance Index (EPI) ranks 163 countries on 25 performance indicators tracked across ten well-established policy categories covering both environmental public health and ecosystem vitality. These indicators provide a gauge at a national government scale of how close countries are to established environmental policy goals. This proximity-to-target methodology facilitates cross-country comparisons as well as analysis of how the global community performs collectively on each particular policy issue. In this dataset scores of 100 are on target and scores of 0 show areas that require improvement. For the Biodiversity and Habitat category, if the Marine Protected Areas (MPAEEZ) and Critical Habitat Protection (AZE) indicators were missing, then the Biome Protection (PACOV) indicator received 100% of the weight. Landlocked countries have no marine protected areas, and countries without alliance for zero extinction sites (see Metadata) could not receive a score for Critical Habitat Protection. If either AZE or MPAEEZ were missing, then PACOV was given 75% of the weight and the other indicator received the remaining 25%. If all three Biodiversity and Habitat indicators were present, then PACOV received 50% of the category weight, and AZE and MPAEEZ received 25% each. EPSG:4326 CRS:84 -180.0 180.0 -55.792 83.667 epi:epi-environmental-performance-index-2010_climate-change The 2010 Environmental Performance Index (EPI) ranks 163 countries on 25 performance indicators tracked across ten well-established policy categories covering both environmental public health and ecosystem vitality. These indicators provide a gauge at a national government scale of how close countries are to established environmental policy goals. This proximity-to-target methodology facilitates cross-country comparisons as well as analysis of how the global community performs collectively on each particular policy issue. In this dataset scores of 100 are on target and scores of 0 show areas that require improvement. All three Climate Change indicators were necessary in order to calculate at the policy category score. For Carbon Intensity of Electricity Generation we imputed some country scores. The weightings given were 50% to Greenhouse Gas Emissions/Capita, 25% Carbon Intensity of Electricity Generation, and 25% Industrial Greenhouse Gas Emissions. EPSG:4326 CRS:84 -180.0 180.0 -55.792 83.667 epi:epi-environmental-performance-index-2010_environmental-burden-of-disease The 2010 Environmental Performance Index (EPI) ranks 163 countries on 25 performance indicators tracked across ten well-established policy categories covering both environmental public health and ecosystem vitality. These indicators provide a gauge at a national government scale of how close countries are to established environmental policy goals. This proximity-to-target methodology facilitates cross-country comparisons as well as analysis of how the global community performs collectively on each particular policy issue. In this dataset scores of 100 are on target and scores of 0 show areas that require improvement. Within the Environmental Health objective, the Environmental Burden of Disease (EBD) indicator is weighted 50% and thus contributes 25% to the overall EPI score. We gave EBD a high weight in Environmental Health because it integrates the impacts of a large number of environmental stressors on human health. EPSG:4326 CRS:84 -180.0 180.0 -55.792 83.667 epi:epi-environmental-performance-index-2010_fisheries The 2010 Environmental Performance Index (EPI) ranks 163 countries on 25 performance indicators tracked across ten well-established policy categories covering both environmental public health and ecosystem vitality. These indicators provide a gauge at a national government scale of how close countries are to established environmental policy goals. This proximity-to-target methodology facilitates cross-country comparisons as well as analysis of how the global community performs collectively on each particular policy issue. In this dataset scores of 100 are on target and scores of 0 show areas that require improvement. For the Fisheries category, all non-landlocked countries were required to have both the Marine Trophic Index and Trawling Intensity indicators, to which we applied an equal weight. EPSG:4326 CRS:84 -180.0 180.0 -55.792 83.667 epi:epi-environmental-performance-index-2010_forestry The 2010 Environmental Performance Index (EPI) ranks 163 countries on 25 performance indicators tracked across ten well-established policy categories covering both environmental public health and ecosystem vitality. These indicators provide a gauge at a national government scale of how close countries are to established environmental policy goals. This proximity-to-target methodology facilitates cross-country comparisons as well as analysis of how the global community performs collectively on each particular policy issue. In this dataset scores of 100 are on target and scores of 0 show areas that require improvement. For the Forestry category, if one of the two constituent indicators was missing, we substituted the other value due to the very high correlation between Forest Cover Change and Growing Stock Change. If both indicators were available, then a simple average was calculated. EPSG:4326 CRS:84 -180.0 180.0 -55.792 83.667 epi:epi-environmental-performance-index-2010_water-effects-on-ecosystems The 2010 Environmental Performance Index (EPI) ranks 163 countries on 25 performance indicators tracked across ten well-established policy categories covering both environmental public health and ecosystem vitality. These indicators provide a gauge at a national government scale of how close countries are to established environmental policy goals. This proximity-to-target methodology facilitates cross-country comparisons as well as analysis of how the global community performs collectively on each particular policy issue. In this dataset scores of 100 are on target and scores of 0 show areas that require improvement. For the Water (effects on ecosystems) category, we had complete country coverage for the Water Quality Index (WQI) owing to data imputation. No Water Quality Index was reported for several countries that had surface water areas of less than 10 square kilometers, so for these countries we averaged around WQI. The Water Stress Index (WATSTR) was available for all but the smallest countries, in terms of geographic area, owing to the grid cell size of the original data source. Either WATSTR or the Water Scarcity Index (WSI) wasrequired in order to calculate the policy category score; if both were present we averaged them, and if one indicator was missing we averaged around it. EPSG:4326 CRS:84 -180.0 180.0 -55.792 83.667 epi:epi-environmental-performance-index-2010_water-effects-on-human-health The 2010 Environmental Performance Index (EPI) ranks 163 countries on 25 performance indicators tracked across ten well-established policy categories covering both environmental public health and ecosystem vitality. These indicators provide a gauge at a national government scale of how close countries are to established environmental policy goals. This proximity-to-target methodology facilitates cross-country comparisons as well as analysis of how the global community performs collectively on each particular policy issue. In this dataset scores of 100 are on target and scores of 0 show areas that require improvement. The effects of Water Pollution on human health comprise a portion of the Environmental Health objective and is allocated an eighth of the total score. Within Water Pollution (effects on humans) the constituent indicators are equally weighted. EPSG:4326 CRS:84 -180.0 180.0 -55.792 83.667 esi:esi-environmental-sustainability-index-2005 The 2005 Environmental Sustainability Index (ESI) is a measure of overall progress towards environmental sustainability, developed for 146 countries. The index provides a composite profile of national environmental stewardship based on a compilation of 21 indicators derived from 76 underlying datasets. The 2005 version of the ESI represents a significant update and improvement on earlier versions; the country ESI scores or rankings should not be compared to earlier versions because of changes to the methodology and underlying data. The index was unveiled at the World Economic Forum's annual meeting, January 2005, Davos, Switzerland. The 2005 ESI is a joint product of the Yale Center for Environmental Law and Policy (YCELP) and the Columbia University Center for International Earth Science Information Network (CIESIN), in collaboration with the World Economic Forum (WEF) and the Joint Research Centre (JRC), European Commission. EPSG:4326 CRS:84 -180.0 180.0 -55.792 83.667 esi:esi-environmental-sustainability-index-2005_air-quality EPSG:4326 CRS:84 -180.0 180.0 -55.792 83.667 esi:esi-environmental-sustainability-index-2005_biodiversity EPSG:4326 CRS:84 -180.0 180.0 -55.792 83.667 esi:esi-environmental-sustainability-index-2005_eco-efficiency EPSG:4326 CRS:84 -180.0 180.0 -55.792 83.667 esi:esi-environmental-sustainability-index-2005_environ-governance EPSG:4326 CRS:84 -180.0 180.0 -55.792 83.667 esi:esi-environmental-sustainability-index-2005_environ-health EPSG:4326 CRS:84 -180.0 180.0 -55.792 83.667 esi:esi-environmental-sustainability-index-2005_greenhouse-gas-emissions EPSG:4326 CRS:84 -180.0 180.0 -55.792 83.667 esi:esi-environmental-sustainability-index-2005_human-sustenance EPSG:4326 CRS:84 -180.0 180.0 -55.792 83.667 esi:esi-environmental-sustainability-index-2005_land EPSG:4326 CRS:84 -180.0 180.0 -55.792 83.667 esi:esi-environmental-sustainability-index-2005_nat-disaster-vulnerability EPSG:4326 CRS:84 -180.0 180.0 -55.792 83.667 esi:esi-environmental-sustainability-index-2005_nat-resource-mgmt EPSG:4326 CRS:84 -180.0 180.0 -55.792 83.667 esi:esi-environmental-sustainability-index-2005_particip-international-collaborate EPSG:4326 CRS:84 -180.0 180.0 -55.792 83.667 esi:esi-environmental-sustainability-index-2005_private-sector-response EPSG:4326 CRS:84 -180.0 180.0 -55.792 83.667 esi:esi-environmental-sustainability-index-2005_reduce-air-pollution EPSG:4326 CRS:84 -180.0 180.0 -55.792 83.667 esi:esi-environmental-sustainability-index-2005_reduce-ecosystem-stress EPSG:4326 CRS:84 -180.0 180.0 -55.792 83.667 esi:esi-environmental-sustainability-index-2005_reduce-pop-press EPSG:4326 CRS:84 -180.0 180.0 -55.792 83.667 esi:esi-environmental-sustainability-index-2005_reduce-trans-environ-press EPSG:4326 CRS:84 -180.0 180.0 -55.792 83.667 esi:esi-environmental-sustainability-index-2005_reduce-waste-consump-press EPSG:4326 CRS:84 -180.0 180.0 -55.792 83.667 esi:esi-environmental-sustainability-index-2005_reduce-water-stress EPSG:4326 CRS:84 -180.0 180.0 -55.792 83.667 esi:esi-environmental-sustainability-index-2005_science-tech EPSG:4326 CRS:84 -180.0 180.0 -55.792 83.667 esi:esi-environmental-sustainability-index-2005_water-quality EPSG:4326 CRS:84 -180.0 180.0 -55.792 83.667 esi:esi-environmental-sustainability-index-2005_water-quantity EPSG:4326 CRS:84 -180.0 180.0 -55.792 83.667 cartographic:esri-administrative-boundaries_level-1 EPSG:4326 CRS:84 -180.0 180.0 -85.47 83.624 ferman-v1:ferman-v1-nitrogen-fertilizer-application The Nitrogen Fertilizer Application dataset of the Global Fertilizer and Manure, Version 1 Data Collection represents the amount of nitrogen fertilizer nutrients applied to croplands. The national-level nitrogen fertilizer application rates for crops are from the International Fertilizer Industry Association (IFA) "Fertilizer Use by Crop 2002" statistics database that is available by request from the Food and Agriculture Organization (FAO). The number of crop-specific fertilizer application rates reported for each country ranged from 2 crops (Guinea) to over 50 crops (United States), and the years for which the data are reported range from 1994 to 2001. Spatially explicit fertilizer inputs of Nitrogen (N) were computed by fusing national-level statistics on fertilizer use with global maps of harvested area for 175 crops. The data were compiled by Potter et al. (2010) and distributed by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF ferman-v1-nitrogen-fertilizer-application EPSG:4326 CRS:84 -180.0 180.0 -55.761 83.739 ferman-v1:ferman-v1-nitrogen-in-manure-production The Nitrogen in Manure Production dataset of the Global Fertilizer and Manure, Version 1 Data Collection represents the amount of nitrogen manure produced and present on the landscape. The manure production at grid cell level was computed based on livestock population and nutrient excretion rates. The livestock population per grid cell was computed by multiplying the density values from FAO Gridded Livestock of the World by the area of grid cell. Spatially explicit manure produced and present on landscape is derived by combining the number of livestock heads and the nutrient excretion rate. The data were compiled by Potter et al. (2010) and distributed by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF ferman-v1-nitrogen-in-manure-production EPSG:4326 CRS:84 -180.0 180.0 -55.761 83.739 ferman-v1:ferman-v1-phosphorus-fertilizer-application The Phosphorus Fertilizer Application dataset of the Global Fertilizer and Manure, Version 1 Data Collection represents the amount of phosphorus fertilizer nutrients applied to croplands. The national-level phosphorus fertilizer application rates for crops are from the International Fertilizer Industry Association (IFA) "Fertilizer Use by Crop 2002" statistics database that is available by request from the Food and Agriculture Organization (FAO).The number of crop-specific fertilizer application rates reported for each country ranged from 2 crops (Guinea) to over 50 crops (United States), and the years for which the data are reported range from 1994 to 2001. Spatially explicit fertilizer inputs of Nitrogen (N) were computed by fusing national-level statistics on fertilizer use with global maps of harvested area for 175 crops. The data were compiled by Potter et al. (2010) and distributed by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF ferman-v1-phosphorus-fertilizer-application EPSG:4326 CRS:84 -180.0 180.0 -55.761 83.739 ferman-v1:ferman-v1-phosphorus-in-manure-production The Phosphorus in Manure Production dataset of the Global Fertilizer and Manure, Version 1 Data Collection represents the amount of phosphorous in manure produced and present on the landscape. The manure production at grid cell level was computed based on livestock population and nutrient excretion rates. The livestock population per grid cell was computed by multiplying the density values from FAO Gridded Livestock of the World by the area of grid cell. Spatially explicit manure produced and present on landscape is derived by combining the number of livestock heads and the nutrient excretion rate. The data were compiled by Potter et al. (2010) and distributed by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF ferman-v1-phosphorus-in-manure-production EPSG:4326 CRS:84 -180.0 180.0 -55.761 83.739 gpw-v3:gpw-v3-centroids EPSG:4326 CRS:84 -179.2 179.848 -54.752 79.892 gpw-v3:gpw-v3-coastlines EPSG:4326 CRS:84 -180.0 180.0 -55.792 83.667 gpw-v3:gpw-v3-land-geographic-unit-area WCS GeoTIFF gpw-v3-land-geographic-unit-area EPSG:4326 CRS:84 -179.979 180.021 -58.021 84.979 gpw-v3:gpw-v3-population-count-future-estimates_2005 Gridded Population of the World: Future Estimates (GPWFE) consists of estimates of human population for the years 2005, 2010, 2015 by 2.5 arc-minute grid cells.The data products include a population grid (raw counts). These products vary in GIS-compatible data formats and geographic extents (global, continent [Antarctica not included], and country levels). Spatial reference metadata refers to global extent. A proportional allocation gridding algorithm, utilizing more than 300,000 national and sub-national administrative units, is used to assign population values to grid cells. Additional global grids are created from the 2.5 arc-minute grid at 1/4, 1/2, and 1 degree resolutions. (Spatial reference metadata refers to global extent, 2.5 arc-minute resoulution). GPWFE is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with the United Nations Food and Agriculture Programme (FAO) and the Centro Internacional de Agricultura Tropical (CIAT). WCS GeoTIFF gpw-v3-population-count-future-estimates_2005 EPSG:4326 CRS:84 -180.0 180.0 -58.0 85.0 gpw-v3:gpw-v3-population-count-future-estimates_2010 Gridded Population of the World: Future Estimates (GPWFE) consists of estimates of human population for the years 2005, 2010, 2015 by 2.5 arc-minute grid cells.The data products include a population grid (raw counts). These products vary in GIS-compatible data formats and geographic extents (global, continent [Antarctica not included], and country levels). Spatial reference metadata refers to global extent. A proportional allocation gridding algorithm, utilizing more than 300,000 national and sub-national administrative units, is used to assign population values to grid cells. Additional global grids are created from the 2.5 arc-minute grid at 1/4, 1/2, and 1 degree resolutions. (Spatial reference metadata refers to global extent, 2.5 arc-minute resoulution). GPWFE is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with the United Nations Food and Agriculture Programme (FAO) and the Centro Internacional de Agricultura Tropical (CIAT). WCS GeoTIFF gpw-v3-population-count-future-estimates_2010 EPSG:4326 CRS:84 -180.0 180.0 -58.0 85.0 gpw-v3:gpw-v3-population-count-future-estimates_2015 Gridded Population of the World: Future Estimates (GPWFE) consists of estimates of human population for the years 2005, 2010, 2015 by 2.5 arc-minute grid cells.The data products include a population grid (raw counts). These products vary in GIS-compatible data formats and geographic extents (global, continent [Antarctica not included], and country levels). Spatial reference metadata refers to global extent. A proportional allocation gridding algorithm, utilizing more than 300,000 national and sub-national administrative units, is used to assign population values to grid cells. Additional global grids are created from the 2.5 arc-minute grid at 1/4, 1/2, and 1 degree resolutions. (Spatial reference metadata refers to global extent, 2.5 arc-minute resoulution). GPWFE is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with the United Nations Food and Agriculture Programme (FAO) and the Centro Internacional de Agricultura Tropical (CIAT). WCS GeoTIFF gpw-v3-population-count-future-estimates_2015 EPSG:4326 CRS:84 -180.0 180.0 -58.0 85.0 gpw-v3:gpw-v3-population-count_1990 Gridded Population of the World consists of estimates of human population for the years 1990, 1995, 2000 by 2.5 arc-minute grid cells.The data products include a population grid (raw counts). These products vary in GIS-compatible data formats and geographic extents (global, continent [Antarctica not included], and country levels). Spatial reference metadata refers to global extent. A proportional allocation gridding algorithm, utilizing more than 300,000 national and sub-national administrative units, is used to assign population values to grid cells. Additional global grids are created from the 2.5 arc-minute grid at 1/4, 1/2, and 1 degree resolutions. (Spatial reference metadata refers to global extent, 2.5 arc-minute resolution). GPWv3 is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with the United Nations Food and Agriculture Programme (FAO) and the Centro Internacional de Agricultura Tropical (CIAT). WCS GeoTIFF gpw-v3-population-count_1990 EPSG:4326 CRS:84 -180.0 180.0 -58.0 85.0 gpw-v3:gpw-v3-population-count_1995 Gridded Population of the World consists of estimates of human population for the years 1990, 1995, 2000 by 2.5 arc-minute grid cells.The data products include a population grid (raw counts). These products vary in GIS-compatible data formats and geographic extents (global, continent [Antarctica not included], and country levels). Spatial reference metadata refers to global extent. A proportional allocation gridding algorithm, utilizing more than 300,000 national and sub-national administrative units, is used to assign population values to grid cells. Additional global grids are created from the 2.5 arc-minute grid at 1/4, 1/2, and 1 degree resolutions. (Spatial reference metadata refers to global extent, 2.5 arc-minute resolution). GPWv3 is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with the United Nations Food and Agriculture Programme (FAO) and the Centro Internacional de Agricultura Tropical (CIAT). WCS GeoTIFF gpw-v3-population-count_1995 EPSG:4326 CRS:84 -180.0 180.0 -58.0 85.0 gpw-v3:gpw-v3-population-count_2000 Gridded Population of the World consists of estimates of human population for the years 1990, 1995, 2000 by 2.5 arc-minute grid cells.The data products include a population grid (raw counts). These products vary in GIS-compatible data formats and geographic extents (global, continent [Antarctica not included], and country levels). Spatial reference metadata refers to global extent. A proportional allocation gridding algorithm, utilizing more than 300,000 national and sub-national administrative units, is used to assign population values to grid cells. Additional global grids are created from the 2.5 arc-minute grid at 1/4, 1/2, and 1 degree resolutions. (Spatial reference metadata refers to global extent, 2.5 arc-minute resolution). GPWv3 is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with the United Nations Food and Agriculture Programme (FAO) and the Centro Internacional de Agricultura Tropical (CIAT). WCS GeoTIFF gpw-v3-population-count_2000 EPSG:4326 CRS:84 -180.0 180.0 -58.0 85.0 gpw-v3:gpw-v3-population-density-future-estimates_2005 Gridded Population of the World: Future Estimates (GPWFE) consists of estimates of human population for the years 2005, 2010, 2015 by 2.5 arc-minute grid cells. Population density estimates were also created using the GPWv3 land area grid for the year 2000 (also 2.5 arc-minute resolution). The data products include a population grid (raw counts), and a population density grid (per square km). These products vary in GIS-compatible data formats and geographic extents (global, continent [Antarctica not included], and country levels). Spatial reference metadata refers to global extent. A proportional allocation gridding algorithm, utilizing more than 300,000 national and sub-national administrative units, is used to assign population values to grid cells. Additional global grids are created from the 2.5 arc-minute grid at 1/4, 1/2, and 1 degree resolutions. (Spatial reference metadata refers to global extent, 2.5 arc-minute resoulution). GPWFE is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with the United Nations Food and Agriculture Programme (FAO) and the Centro Internacional de Agricultura Tropical (CIAT). WCS GeoTIFF population_density_2005 EPSG:4326 CRS:84 -180.0 180.0 -58.0 85.0 gpw-v3:gpw-v3-population-density-future-estimates_2010 Gridded Population of the World: Future Estimates (GPWFE) consists of estimates of human population for the years 2005, 2010, 2015 by 2.5 arc-minute grid cells. Population density estimates were also created using the GPWv3 land area grid for the year 2000 (also 2.5 arc-minute resolution). The data products include a population grid (raw counts), and a population density grid (per square km). These products vary in GIS-compatible data formats and geographic extents (global, continent [Antarctica not included], and country levels). Spatial reference metadata refers to global extent. A proportional allocation gridding algorithm, utilizing more than 300,000 national and sub-national administrative units, is used to assign population values to grid cells. Additional global grids are created from the 2.5 arc-minute grid at 1/4, 1/2, and 1 degree resolutions. (Spatial reference metadata refers to global extent, 2.5 arc-minute resoulution). GPWFE is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with the United Nations Food and Agriculture Programme (FAO) and the Centro Internacional de Agricultura Tropical (CIAT). WCS GeoTIFF population_density_2010 EPSG:4326 CRS:84 -180.0 180.0 -58.0 85.0 gpw-v3:gpw-v3-population-density-future-estimates_2015 Gridded Population of the World: Future Estimates (GPWFE) consists of estimates of human population for the years 2005, 2010, 2015 by 2.5 arc-minute grid cells. Population density estimates were also created using the GPWv3 land area grid for the year 2000 (also 2.5 arc-minute resolution). The data products include a population grid (raw counts), and a population density grid (per square km). These products vary in GIS-compatible data formats and geographic extents (global, continent [Antarctica not included], and country levels). Spatial reference metadata refers to global extent. A proportional allocation gridding algorithm, utilizing more than 300,000 national and sub-national administrative units, is used to assign population values to grid cells. Additional global grids are created from the 2.5 arc-minute grid at 1/4, 1/2, and 1 degree resolutions. (Spatial reference metadata refers to global extent, 2.5 arc-minute resoulution). GPWFE is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with the United Nations Food and Agriculture Programme (FAO) and the Centro Internacional de Agricultura Tropical (CIAT). WCS GeoTIFF population_density_2015 EPSG:4326 CRS:84 -180.0 180.0 -58.0 85.0 gpw-v3:gpw-v3-population-density_1990 Gridded Population of the World: Future Estimates (GPWFE) consists of estimates of human population for the years 2005, 2010, 2015 by 2.5 arc-minute grid cells. Population density estimates were also created using the GPWv3 land area grid for the year 2000 (also 2.5 arc-minute resolution). The data products include a population grid (raw counts), and a population density grid (per square km). These products vary in GIS-compatible data formats and geographic extents (global, continent [Antarctica not included], and country levels). Spatial reference metadata refers to global extent. A proportional allocation gridding algorithm, utilizing more than 300,000 national and sub-national administrative units, is used to assign population values to grid cells. Additional global grids are created from the 2.5 arc-minute grid at 1/4, 1/2, and 1 degree resolutions. (Spatial reference metadata refers to global extent, 2.5 arc-minute resoulution). GPWFE is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with the United Nations Food and Agriculture Programme (FAO) and the Centro Internacional de Agricultura Tropical (CIAT). WCS GeoTIFF population_density_1990 EPSG:4326 CRS:84 -180.0 180.0 -58.0 85.0 gpw-v3:gpw-v3-population-density_1995 Gridded Population of the World: Future Estimates (GPWFE) consists of estimates of human population for the years 2005, 2010, 2015 by 2.5 arc-minute grid cells. Population density estimates were also created using the GPWv3 land area grid for the year 2000 (also 2.5 arc-minute resolution). The data products include a population grid (raw counts), and a population density grid (per square km). These products vary in GIS-compatible data formats and geographic extents (global, continent [Antarctica not included], and country levels). Spatial reference metadata refers to global extent. A proportional allocation gridding algorithm, utilizing more than 300,000 national and sub-national administrative units, is used to assign population values to grid cells. Additional global grids are created from the 2.5 arc-minute grid at 1/4, 1/2, and 1 degree resolutions. (Spatial reference metadata refers to global extent, 2.5 arc-minute resoulution). GPWFE is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with the United Nations Food and Agriculture Programme (FAO) and the Centro Internacional de Agricultura Tropical (CIAT). WCS GeoTIFF population_density_1995 EPSG:4326 CRS:84 -180.0 180.0 -58.0 85.0 gpw-v3:gpw-v3-population-density_2000 Gridded Population of the World: Future Estimates (GPWFE) consists of estimates of human population for the years 2005, 2010, 2015 by 2.5 arc-minute grid cells. Population density estimates were also created using the GPWv3 land area grid for the year 2000 (also 2.5 arc-minute resolution). The data products include a population grid (raw counts), and a population density grid (per square km). These products vary in GIS-compatible data formats and geographic extents (global, continent [Antarctica not included], and country levels). Spatial reference metadata refers to global extent. A proportional allocation gridding algorithm, utilizing more than 300,000 national and sub-national administrative units, is used to assign population values to grid cells. Additional global grids are created from the 2.5 arc-minute grid at 1/4, 1/2, and 1 degree resolutions. (Spatial reference metadata refers to global extent, 2.5 arc-minute resoulution). GPWFE is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with the United Nations Food and Agriculture Programme (FAO) and the Centro Internacional de Agricultura Tropical (CIAT). WCS GeoTIFF population_density_2000 EPSG:4326 CRS:84 -180.0 180.0 -58.0 85.0 grand-v1:grand-v1-dams-rev01 Through the Global Water System Project (GWSP), an international team of scientists have spent 4 years collecting dam and reservoir data sets to address the need for global data describing their characteristics and geographical distribution. The goal of providing a single, geographically explicit and reliable database has resulted in the release of the Global Reservoir and Dam Database (GRanD). Lehner, B., Reidy Liermann, C., Revenga, C., Vorosmarty, C., Fekete, B., Crouzet, P., Doll, P., Endejan, M., Frenken, K., Magome, J., Nilsson, C., Robertson, J.C., Rodel, R., Sindorf, N., Wisser, D. (2011). Global Reservoir and Dam Database, Version 1 (GRanDv1): Dams, Revision 01. Data distributed by the NASA Socioeconomic Data and Applications Center (SEDAC): http://sedac.ciesin.columbia.edu/data/collection/grand-v1. EPSG:4326 CRS:84 -153.027 176.815 -45.88 70.387 grand-v1:grand-v1-reservoirs-rev01 Through the Global Water System Project (GWSP), an international team of scientists have spent 4 years collecting dam and reservoir data sets to address the need for global data describing their characteristics and geographical distribution. The goal of providing a single,geographically explicit and reliable database has resulted in the release of the Global Reservoir and Dam Database (GRanD). Lehner, B., Reidy Liermann, C., Revenga, C., Vorosmarty, C., Fekete, B., Crouzet, P., Doll, P., Endejan, M., Frenken, K., Magome, J., Nilsson, C., Robertson, J.C., Rodel, R., Sindorf, N., Wisser, D. (2011). Global Reservoir and Dam Database, Version 1 (GRanDv1): Reservoirs, Revision 01. Data distributed by the NASA Socioeconomic Data and Applications Center (SEDAC): http://sedac.ciesin.columbia.edu/data/collection/grand-v1. EPSG:4326 CRS:84 -153.037 176.825 -45.881 70.398 grump-v1:grump-v1-land-geographic-unit-area WCS GeoTIFF grump-v1-land-geographic-unit-area EPSG:4326 CRS:84 -180.0 180.0 -57.0 84.0 grump-v1:grump-v1-population-count_1990 The Global Rural-Urban Mapping Project, Version 1 (GRUMPv1) consists of estimates of human population for the years 1990, 1995, and 2000 by 30 arc-second (1km) grid cells and associated datasets dated circa 2000. A proportional allocation gridding algorithm, utilizing more than 1,000,000 national and sub-national geographic units, is used to assign population values (counts, in persons) to grid cells. This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with the International Food Policy Research Institute (IFPRI), The World Bank, and Centro Internacional de Agricultura Tropical (CIAT). WCS GeoTIFF grump-v1-population-count_1990 EPSG:4326 CRS:84 -180.0 180.0 -58.0 85.0 grump-v1:grump-v1-population-count_1995 The Global Rural-Urban Mapping Project, Version 1 (GRUMPv1) consists of estimates of human population for the years 1990, 1995, and 2000 by 30 arc-second (1km) grid cells and associated datasets dated circa 2000. A proportional allocation gridding algorithm, utilizing more than 1,000,000 national and sub-national geographic units, is used to assign population values (counts, in persons) to grid cells. This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with the International Food Policy Research Institute (IFPRI), The World Bank, and Centro Internacional de Agricultura Tropical (CIAT). WCS GeoTIFF grump-v1-population-count_1995 EPSG:4326 CRS:84 -180.0 180.0 -58.0 85.0 grump-v1:grump-v1-population-count_2000 The Global Rural-Urban Mapping Project, Version 1 (GRUMPv1) consists of estimates of human population for the years 1990, 1995, and 2000 by 30 arc-second (1km) grid cells and associated datasets dated circa 2000. A proportional allocation gridding algorithm, utilizing more than 1,000,000 national and sub-national geographic units, is used to assign population values (counts, in persons) to grid cells. This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with the International Food Policy Research Institute (IFPRI), The World Bank, and Centro Internacional de Agricultura Tropical (CIAT). WCS GeoTIFF grump-v1-population-count_2000 EPSG:4326 CRS:84 -180.0 180.0 -58.0 85.0 grump-v1:grump-v1-population-density_1990 WCS GeoTIFF grump-v1-population-density_1990 EPSG:4326 CRS:84 -180.0 180.0 -58.0 85.0 grump-v1:grump-v1-population-density_1995 WCS GeoTIFF grump-v1-population-density_1995 EPSG:4326 CRS:84 -180.0 180.0 -58.0 85.0 grump-v1:grump-v1-population-density_2000 WCS GeoTIFF grump-v1-population-density_2000 EPSG:4326 CRS:84 -180.0 180.0 -58.0 85.0 nuclear:grump-v1-population-density_2010 WCS GeoTIFF grump-v1-population-density_2010 EPSG:4326 CRS:84 -180.0 180.0 -55.767 83.633 grump-v1:grump-v1-settlement-points The Global Rural-Urban Mapping Project, Version 1 (GRUMPv1) consists of estimates of human population for the years 1990, 1995, and 2000 by 30 arc-second (1km) grid cells and associated datasets dated circa 2000. A proportional allocation gridding algorithm, utilizing more than 1,000,000 national and sub-national geographic units, is used to assign population values (counts, in persons) to grid cells. This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with the International Food Policy Research Institute (IFPRI), The World Bank, and Centro Internacional de Agricultura Tropical (CIAT). EPSG:4326 CRS:84 -178.174 179.853 -54.8 78.93 grump-v1:grump-v1-urban-extents The Global Rural-Urban Mapping Project, Version 1 (GRUMPv1) consists of estimates of human population for the years 1990, 1995, and 2000 by 30 arc-second (1km) grid. The urban extent grids distinguish urban and rural areas based on a combination of population counts (persons), settlement points, and the presence of Nighttime Lights . Areas are defined as urban where contiguous lighted cells from the Nighttime Lights or approximated urban extents based on buffered settlement points for which the total population is greater than 5,000 persons. This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with the International Food Policy Research Institute (IFPRI), The World Bank, and Centro Internacional de Agricultura Tropical (CIAT) WCS GeoTIFF grump-v1-urban-extents EPSG:4326 CRS:84 -180.0 180.0 -57.0 84.0 ipcc:ipcc-ar4-observed-climate-impacts For each observation, the data series is described in terms of system, region, longitude and latitude, dates and duration, statistical significance, type of impact, and whether or not land use was identified as a driving factor. System changes are taken from 80 studies of which 75 are new since the IPCC Third Assessment Report containing 29,500 data series. Observations in the database are characterized as a change consistent with warming or a change not consistent with warming, based on information from the underlying studies. features ipcc-ar4-observed-climate-impacts EPSG:4326 CRS:84 -165.0 178.9 -70.0 86.816 ipcc:ipcc-synthetic-vulnerability-climate-2005-2050-2100 Synthetic Assessment of Global Distribution of Vulnerability to Climate Change: Maps and Data, 2005, 2050, and 2100 consist of maps and vulnerability index to climate change of 100 countries based on the Vulnerability-Resilience Indicator Model (VRIM), which not only presents sensitivity to climate change stresses but allows the division of indicators into components that reflects sensitivity and adaptive capacity. It was produced in collaboration with the Wesleyan University, Joint Global Change Research Insitute, University of Illinois and the Columbia University Center for International Earth Science Information Network (CIESIN). ipcc-synthetic-vulnerability-climate-2005-2050-2100 features EPSG:4326 CRS:84 -179.99999966763818 179.99999966763812 -55.79166793823248 83.66666412494413 nagdc:nagdc-population-landscape-climate-estimates-v3_coastal-proximity-2010 The Population, Landscape, And Climate Estimates, Version 3 (PLACE III) dataset contains estimates of national-level aggregations of territorial extent and population size by biome, climate zone, coastal proximity zone, elevation zone, and population density zone, a compendium of nearly 300 variables for 228 countries. This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). features nagdc-population-landscape-climate-estimates-v3_coastal-proximity-2010 EPSG:4326 CRS:84 -179.99999966763818 179.9999996676379 -55.79166793823242 83.66666412494396 ndh:ndh-cyclone-hazard-frequency-distribution Global Cyclone Hazard Frequency and Distribution is a 2.5 minute grid based on more than 1,600 storm tracks for the period 1 January 1980 through 31 December 2000 for the Atlantic, Pacific, and Indian Oceans that were assembled and modeled at UNEP/GRID-Geneva PreView. Windspeeds around storm tracks were modeled using Holland's model (1997) to assess the grid cells likely to have been exposed to high wind levels. Post-modeling, the cells were divided into deciles, 10 classes consisting of approximately equal number of grid cells. The higher the value of the grid cell, the higher the decile ranking and the greater the frequency of the hazard relative to other cells. This dataset is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR), International Bank for Reconstruction and Development/The World Bank, United Nations Environment Programme Global Resource Information Database Geneva (UNEP/GRID-Geneva), and Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF cyclone-hazard-frequency-distribution EPSG:4326 CRS:84 -180.0 180.0 -57.0 72.02 ndh:ndh-cyclone-mortality-risks-distribution Global Cyclone Mortality Risks and Distribution is a 2.5 minute grid of global cyclone mortality risks. Gridded Population of the World, Version 3 (GPWv3) data provide a baseline estimation of population per grid cell from which to estimate potential mortality loss. Mortality loss estimates per hazard event are calculated using regional, hazard-specific mortality records of the Emergency Events Database (EM-DAT) that span the 20 years between 1981 and 2000. Data regarding the frequency and distribution of cyclone hazard are obtained from the Global Cyclone Hazard Frequency and Distribution dataset. In order to more accurately reflect the confidence associated with the data and procedures, the potential mortality estimate range is classified into deciles, 10 classes of an approximately equal number of grid cells, providing a relative estimate of cyclone-based mortality risks. This data is intended to provide a means of assessing global cyclone mortality risks and distribution. WCS GeoTIFF ndh-cyclone-mortality-risks-distribution EPSG:4326 CRS:84 -180.0 180.0 -58.015 85.016 ndh:ndh-cyclone-proportional-economic-loss-risk-deciles Global Cyclone Proportional Economic Loss Risk Deciles is a 2.5 minute grid of cyclone hazard economic loss as proportions of Gross Domestic Product (GDP) per analytical unit. Estimates of GDP at risk are based on regional economic loss rates derived from historical records of the Emergency Events Database (EM-DAT). Loss rates are weighted by the hazard's frequency and distribution. The methodology of Sachs et al. (2003) is followed to determine baseline estimates of GDP per grid cell. To better reflect the confidence surrounding the data and procedures, the range of proportionalities is classified into deciles, 10 class of an approximately equal number of grid cells of increasing risk. This data is intended to provide a spatial surface of the proportional economic impacts of global cyclone hazard. WCS GeoTIFF ndh-cyclone-proportional-economic-loss-risk-deciles EPSG:4326 CRS:84 -179.998 179.998 -58.015 85.016 ndh:ndh-cyclone-total-economic-loss-risk-deciles Global Cyclone Total Economic Loss Risk Deciles is a 2.5 minute grid of global cyclone total economic loss risks. A process of spatially allocating Gross Domestic Product (GDP) based upon the Sachs et al. (2003) methodology is utilized. First the proportional contributions of subnational units to their respective national GDP are determined using sources of various origins. The contribution rates are then applied to published World Bank Development Indicators to determine a GDP value for the subnational unit. Once the national GDP is spatially stratified into the smallest administrative units available, GDP values for grid cells are derived using population distribution data. A per capita contribution value is determined within each subnational unit, and this value is multiplied by the population per grid cell as determined from Gridded Population of the World, Version 3 (GPWv3) data. Once a GDP value is determined on a per grid cell basis, then the regionally variable loss rate, as derived from the historical records of EM-DAT, is used to determine the total economic loss risks posed to a grid cell by cyclone hazards. The final surface does not present absolute values of total economic loss, but rather a relative decile (1-10 with increasing risk) ranking of grid cells based upon the calculated economic loss risks. This data is intended to provide insight into the relative frequency, distribution, and potential impact of global cyclone hazard events in relation to subnational distributions of GDP. WCS GeoTIFF ndh-cyclone-total-economic-loss-risk-deciles EPSG:4326 CRS:84 -180.0 179.996 -58.0 84.989 ndh:ndh-drought-hazard-frequency-distribution WCS GeoTIFF ndh-drought-hazard-frequency-distribution EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 ndh:ndh-drought-mortality-risks-distribution Global Drought Mortality Risks and Distribution is a 2.5 minute grid of global drought mortality risks. Gridded Population of the World, Version 3 (GPWv3) data provide a baseline estimation of population per grid cell from which to estimate potential mortality risks due to drought hazard. Mortality loss estimates per hazard event are calculated using regional, hazard-specific mortality records of the Emergency Events Database (EM-DAT) that span the 20 years between 1981 and 2000. Data regarding the frequency and distribution of drought hazard are obtained from the Global Drought Hazard Frequency and Distribution dataset. In order to more accurately reflect the confidence associated with the data and procedures, the potential mortality estimate range is classified into deciles, 10 classes of increasing risk with an approximately equal number of grid cells per class, producing a relative estimate of drought-based mortality risks. This data is intended to provide a means of assessing global drought mortality risks and distribution. WCS GeoTIFF ndh-drought-mortality-risks-distribution EPSG:4326 CRS:84 -179.998 179.998 -58.015 85.016 ndh:ndh-drought-proportional-economic-loss-risk-deciles Global Drought Proportional Economic Loss Risk Deciles is a 2.5 minute grid of drought hazard economic loss as proportions of Gross Domestic Product (GDP) per analytical unit. Estimates of GDP at risk are based on regional economic loss rates derived from historical records of the Emergency Events Database (EM-DAT). Loss rates are weighted by the hazard's frequency and distribution. The methodology of Sachs et al. (2003) is followed to determine baseline estimates of GDP per grid cell. To better reflect the confidence surrounding the data and procedures, the range of proportionalities is classified into deciles, 10 class of an approximately equal number of grid cells of increasing risk. This data is intended to provide a spatial surface of the proportional economic impacts of global drought hazard. WCS GeoTIFF ndh-drought-proportional-economic-loss-risk-deciles EPSG:4326 CRS:84 -179.998 179.998 -58.015 85.016 ndh:ndh-drought-total-economic-loss-risk-deciles Global Drought Total Economic Loss Risk Deciles is a 2.5 minute grid of global drought total economic loss risks. A process of spatially allocating Gross Domestic Product (GDP) based upon the Sachs et al. (2003) methodology is utilized. First the proportional contributions of subnational units to their respective national GDP are determined using sources of various origins. The contribution rates are then applied to published World Bank Development Indicators to determine a GDP value for the subnational unit. Once the national GDP is spatially stratified into the smallest administrative units available, GDP values for grid cells are derived using Gridded Population of the World, Version 3 (GPWv3) data of population distributions. A per capita contribution value is determined within each subnational unit, and this value is multiplied by the population per grid cell. Once a GDP value has been determined on a per grid cell basis, then the regionally variable loss rate as derived from the historical records of EM-DAT is used to determine the total economic loss risks posed to a grid cell by drought hazards. The final surface does not present absolute values of total economic loss, but rather a relative decile (1-10 with increasing risk) ranking of grid cells based upon the calculated economic loss risks. This data is intended to provide insight into the relative frequency, distribution, and potential impact of global drought hazard events in relation to subnational distributions of GDP. WCS GeoTIFF ndh-drought-total-economic-loss-risk-deciles EPSG:4326 CRS:84 -180.0 179.996 -58.0 84.989 ndh:ndh-earthquake-distribution-peak-ground-acceleration WCS GeoTIFF ndh-earthquake-distribution-peak-ground-acceleration EPSG:4326 CRS:84 -180.0 180.0 -58.0 85.0 ndh:ndh-earthquake-frequency-distribution Global Earthquake Hazard Frequency and Distribution is a 2.5 minute grid utilizing Advanced National Seismic System (ANSS) Earthquake Catalog data of actual earthquake events exceeding 4.5 on the Richter scale during the time period 1976 through 2002. To produce the final output, the frequency of an earthquake hazard is calculated for each grid cell, and the resulting grid cells are then classified into deciles (10 classes consisting of an approximately equal number of grid cells). The greater the grid cell value in the final output, the higher the relative frequency of hazard posed by earthquakes. This data is intended to provide a means of assessing the relative distribution and frequency of global earthquake hazard. WCS GeoTIFF ndh-earthquake-frequency-distribution EPSG:4326 CRS:84 -180.0 180.0 -58.0 85.0 ndh:ndh-earthquake-mortality-risks-distribution Global Earthquake Mortality Risks and Distribution is a 2.5 minute grid of global earthquake mortality risks. Gridded Population of the World, Version 3 (GPWv3) data provides a baseline estimate of population per grid cell from which to estimate potential mortality risks due to earthquake hazard. Mortality loss estimates per hazard event are calculated using regional, hazard-specific mortality records of the Emergency Events Database (EM-DAT) that span the 20 years between 1981 and 2000. Data regarding the distribution of earthquake hazard are obtained from the Global Earthquake Hazard Distribution-peak ground acceleration dataset. In order to more accurately reflect the confidence associated with the data and procedures, the potential mortality estimate range is classified into deciles, 10 classes of increasing risk with an approximately equal number of grid cells per class, producing a relative estimate of earthquake-based mortality risks. This data is intended to provide a means of assessing global earthquake mortality risks and distribution. WCS GeoTIFF ndh-earthquake-mortality-risks-distribution EPSG:4326 CRS:84 -182.0 192.003 -58.015 85.028 ndh:ndh-earthquake-proportional-economic-loss-risk-deciles Global Earthquake Proportional Economic Loss Risk Deciles is a 2.5 minute grid of earthquake hazard economic loss as proportions of Gross Domestic Product (GDP) per analytical unit. Estimates of GDP at risk are based on regional economic loss rates derived from historical records of the Emergency Events Database (EM-DAT). Loss rates are weighted by the hazard's frequency and distribution. The methodology of Sachs et al. (2003) is followed to determine baseline estimates of GDP per grid cell. To better reflect the confidence surrounding the data and procedures, the range of proportionalities is classified into deciles, 10 class of an approximately equal number of grid cells of increasing risk. This data is intended to provide a spatial surface of the proportional economic impacts of global earthquake hazard. WCS GeoTIFF ndh-earthquake-proportional-economic-loss-risk-deciles EPSG:4326 CRS:84 -182.0 192.003 -58.015 85.028 ndh:ndh-earthquake-total-economic-loss-risk-deciles Global Earthquake Total Economic Loss Risk Deciles is a 2.5 minute grid of global earthquake total economic loss risks. A process of spatially allocating Gross Domestic Product (GDP) based upon the Sachs et al. (2003) methodology is utilized. First the proportional contributions of subnational units to their respective national GDP are determined using sources of various origin. The contribution rates are then applied to published World Bank Development Indicators to determine a GDP value for the subnational unit. Once the national GDP has been spatially stratified into the smallest administrative units available, GDP values for grid cells are derived using Gridded Population of the World, Version 3 (GPWv3) data population distributions. A per capita contribution value is determined within each subnational unit, and then this value is multiplied by the population per grid cell. Once a GDP value has been determined on a per grid cell basis, then the regionally variable loss rate as derived from the historical records of EM-DAT is used to determine the total economic loss risks posed to a grid cell by earthquake hazards. The final surface does not present absolute values of total economic loss, but rather a relative decile (1-10 with increasing risk) ranking of grid cells based upon the calculated economic loss risks. This data is intended to provide insight into the relative frequency, distribution, and potential impact of global earthquake hazard events in relation to subnational distributions of GDP. WCS GeoTIFF ndh-earthquake-total-economic-loss-risk-deciles EPSG:4326 CRS:84 -180.0 181.998 -58.0 86.991 ndh:ndh-flood-hazard-frequency-distribution Global Flood Hazard Frequency and Distribution is a 2.5 minute grid derived from a global listing of extreme flood events between 1985 and 2003 (poor or missing data in the early/mid 1990s) compiled by Dartmouth Flood Observatory and georeferenced to the nearest degree. The resultant flood frequency grid was then classified into 10 classes of approximately equal number of grid cells. The greater the grid cell value in the final data set, the higher the relative frequency of flood occurrence. WCS GeoTIFF ndh-flood-hazard-frequency-distribution EPSG:4326 CRS:84 -180.0 180.0 -58.0 85.0 ndh:ndh-flood-mortality-risks-distribution Global Flood Mortality Risks and Distribution is a 2.5 minute grid of global flood mortality risks. Gridded Population of the World, Version 3 (GPWv3) data provided a baseline population per grid cell from which to estimate potential mortality risks due to flood hazard. Mortality loss estimates per flood event are calculated using regional, hazard-specific mortality records of the Emergency Events Database (EM-DAT) that span the 20 years between 1981 and 2000. Data regarding the frequency and distribution of flood hazard are obtained from the Global Flood Hazard Frequency and Distribution dataset. In order to more accurately reflect the confidence associated with the data and the procedures, the potential mortality estimate range is classified into deciles, 10 classes of increasing hazard with an approximately equal number of grid cells per class, producing a relative estimate of flood-based mortality risks. This data is intended to provide a means of assessing global flood mortality risks and distribution. WCS GeoTIFF ndh-flood-mortality-risks-distribution EPSG:4326 CRS:84 -179.998 179.998 -58.015 85.016 ndh:ndh-flood-proportional-economic-loss-risk-deciles Global Flood Proportional Economic Loss Risk Deciles is a 2.5 minute grid of flood hazard economic loss as proportions of Gross Domestic Product (GDP) per analytical unit. Estimates of GDP at risk are based on regional economic loss rates derived from historical records of the Emergency Events Database (EM-DAT). Loss rates are weighted by the hazard's frequency and distribution. The methodology of Sachs et al. (2003) is followed to determine baseline estimates of GDP per grid cell. To better reflect the confidence surrounding the data and procedures, the range of proportionalities is classified into deciles, 10 class of an approximately equal number of grid cells of increasing risk. This data is intended to provide a spatial surface of the proportional economic impacts of global flood hazard. WCS GeoTIFF ndh-flood-proportional-economic-loss-risk-deciles EPSG:4326 CRS:84 -179.998 179.998 -58.015 85.016 ndh:ndh-flood-total-economic-loss-risk-deciles Global Landslide Total Economic Loss Risk Deciles is a 2.5 minute grid of global landslide total economic loss risks. A process of spatially allocating Gross Domestic Product (GDP) based upon the Sachs et al. (2003) methodology is utilized. First the proportional contributions of subnational units to their respective national GDP are determined using sources of various origins. The contribution rates are then applied to published World Bank Development Indicators to determine a GDP value for the subnational unit. Once the national GDP has been spatially stratified into the smallest administrative units available, GDP values for grid cells are derived using Gridded Population of the World, Version 3 (GPWv3) data of population distributions. A per capita contribution value is determined within each subnational unit, and this value is multiplied by the population per grid cell. Once a GDP value has been determined on a per grid cell basis, then the regionally variable loss rate as derived from the historical records of EM-DAT is used to determine the total economic loss risks posed to a grid cell by landslide hazards. The final surface does not present absolute values of total economic loss, but rather a relative decile (1-10 with increasing risk) ranking of grid cells based upon the calculated economic loss risks. This data is intended to provide insight into the relative frequency, distribution, and potential impact of global earthquake hazard events in relation to subnational distributions of GDP. WCS GeoTIFF ndh-flood-total-economic-loss-risk-deciles EPSG:4326 CRS:84 -180.0 179.996 -58.0 84.989 ndh:ndh-landslide-hazard-distribution Global Landslide Hazard Distribution is a 2.5 minute grid of global landslide and snow avalanche hazards based upon work of the Norwegian Geotechnical Institute (NGI). The hazards mapping of NGI incorporates a range of data including slope, soil, soil moisture conditions, precipitation, seismicity, and temperature. Shuttle Radar Topography Mission (SRTM) elevation data at 30 seconds resolution are also incorporated. Hazards values 4 and below are considered negligible and only values 5 through 9 are utilized in further analyses. To ensure compatibility with other datasets, 1 is added to each of the values to provide a hazard ranking ranging 6 through 10 in increasing hazard. WCS GeoTIFF ndh-landslide-hazard-frequency-distribution EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 ndh:ndh-landslide-mortality-risks-distribution Global Landslide Mortality Risks and Distribution is a 2.5 minute grid of global landslide mortality risks. Gridded Population of the World, Version 3 (GPWv3) data provide a baseline estimation of population per grid cell from which to estimate potential mortality risks due to landslide hazard. Mortality loss estimates per hazard event are calculated using regional, hazard-specific mortality records of the Emergency Events Database (EM-DAT) that span the 20 years between 1981 and 2000. Data regarding the frequency and distribution of landslide hazard are obtained from the Global Landslide Hazard Distribution dataset. In order to more accurately reflect the confidence associated with the data and procedures, the potential mortality estimate range is classified into deciles, 10 classes of increasing risk with an approximately equal number of grid cells per class, producing a relative estimate of landslide-based mortality risks. This data is intended to provide a means of assessing global landslide mortality risks and distribution. WCS GeoTIFF ndh-landslide-mortality-risks-distribution EPSG:4326 CRS:84 -179.998 179.998 -58.015 85.016 ndh:ndh-landslide-proportional-economic-loss-risk-deciles Global Landslide Proportional Economic Loss Risk Deciles is a 2.5 minute grid of landslide hazard economic loss as proportions of Gross Domestic Product (GDP) per analytical unit. Estimates of GDP at risk are based on regional economic loss rates derived from historical records of the Emergency Events Database (EM-DAT). Loss rates are weighted by the hazard's frequency and distribution. The methodology of Sachs et al. (2003) is followed to determine baseline estimates of GDP per grid cell. To better reflect the confidence surrounding the data and procedures, the range of proportionalities is classified into deciles, 10 class of an approximately equal number of grid cells of increasing risk. This data is intended to provide a spatial surface of the proportional economic impacts of global landslide hazard. WCS GeoTIFF ndh-landslide-proportional-economic-loss-risk-deciles EPSG:4326 CRS:84 -179.998 179.998 -58.015 85.016 ndh:ndh-landslide-total-economic-loss-risk-deciles Global Landslide Total Economic Loss Risk Deciles is a 2.5 minute grid of global landslide total economic loss risks. A process of spatially allocating Gross Domestic Product (GDP) based upon the Sachs et al. (2003) methodology is utilized. First the proportional contributions of subnational units to their respective national GDP are determined using sources of various origins. The contribution rates are then applied to published World Bank Development Indicators to determine a GDP value for the subnational unit. Once the national GDP has been spatially stratified into the smallest administrative units available, GDP values for grid cells are derived using Gridded Population of the World, Version 3 (GPWv3) data of population distributions. A per capita contribution value is determined within each subnational unit, and this value is multiplied by the population per grid cell. Once a GDP value has been determined on a per grid cell basis, then the regionally variable loss rate as derived from the historical records of EM-DAT is used to determine the total economic loss risks posed to a grid cell by landslide hazards. The final surface does not present absolute values of total economic loss, but rather a relative decile (1-10 with increasing risk) ranking of grid cells based upon the calculated economic loss risks. This data is intended to provide insight into the relative frequency, distribution, and potential impact of global earthquake hazard events in relation to subnational distributions of GDP. WCS GeoTIFF ndh-landslide-total-economic-loss-risk-deciles EPSG:4326 CRS:84 -180.0 179.996 -58.0 84.989 ndh:ndh-volcano-hazard-frequency-distribution Global Volcano Hazard Frequency and Distribution is a 2.5 minute gridded data set based upon the National Geophysical Data Center (NGDC) Volcano Database spanning the period of 1979 through 2000. This database includes nearly 4,000 volcanic events categorized as moderate or above (values 2 through 8) according to the Volcano Explosivity Index (VEI). Most volcanoes are georeferenced to the nearest tenth or hundredth of a degree with a few to the nearest thousandth of a degree. To produce the final output, the frequency of a volcanic hazard is computed for each grid cell, with the data set consequently being classified into deciles (10 classes of approximately equal number of grid cells). The higher the grid cell value in the final output, the higher the relative frequency of hazard posed by volcanoes. This data is intended to provide a means of assessing the relative distribution and frequency of global volcano hazard. WCS GeoTIFF ndh-volcano-hazard-frequency-distribution EPSG:4326 CRS:84 -180.0 180.0 -58.0 85.0 ndh:ndh-volcano-mortality-risks-distribution Global Volcano Mortality Risks and Distribution is a 2.5 minute grid representing global volcano mortality risks. The data set was constructed using historical hazard-specific mortality loss data from the Emergency Events Database (EM-DAT) maintained by the Centre for Research on the Epidemiology of Disasters (CRED), subnational year 2000 population estimates from Gridded Population of the World, Version 3 (GPWv3), and volcano hazard data from the Global Volcano Hazard Frequency and Distribution dataset. Estimates were made as to the mortality numbers associated with volcano hazard. In turn, these mortality estimates were classified into deciles, 10 class of an approximately equal number of grid cells of increasing mortality risk. This data is intended to provide a means of assessing global volcano mortality risks and distribution. WCS GeoTIFF ndh-volcano-mortality-risks-distribution EPSG:4326 CRS:84 -179.998 179.998 -58.015 85.016 ndh:ndh-volcano-proportional-economic-loss-risk-deciles Global Volcano Proportional Economic Loss Risk Deciles is a 2.5 minute grid of volcano hazard economic loss as proportions of Gross Domestic Product (GDP) per analytical unit. Estimates of GDP at risk are based on regional economic loss rates derived from historical records of the Emergency Events Database (EM-DAT). Loss rates are weighted by the hazard's frequency and distribution. The methodology of Sachs et al. (2003) is followed to determine baseline estimates of GDP per grid cell. To better reflect the confidence surrounding the data and procedures, the range of proportionalities is classified into deciles, 10 class of an approximately equal number of grid cells of increasing risk. This dataset is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR), International Bank for Reconstruction and Development/The World Bank, and Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF ndh-volcano-proportional-economic-loss-risk-deciles EPSG:4326 CRS:84 -179.998 179.998 -58.015 85.016 ndh:ndh-volcano-total-economic-loss-risk-deciles Global Volcano Total Economic Loss Risk Deciles is a 2.5 minute grid of global volcano total economic loss risks. First, subnational distributions of Gross Domestic Product (GDP) are computed using a two-fold process. Where applicable, the proportional contribution of subnational units are determined following the methodology of Sachs et al. (2003) and these proportions are used against World Bank Development Indicators to determine a GDP value for the subnational unit. Once a national GDP has been spatially stratified into the smallest administrative units available, it is further distributed based upon Gridded Population of the World, Version 3 (GPWv3) population distributions. A per capita contribution value is determined for each unit, and this value is multiplied by the population per grid cell. Once the GDP has been determined on a per grid cell basis, then the spatially variable loss rate as derived from EM-DAT historical records is used to determine the total economic loss posed to a grid cell by volcano hazards. The final surface does not present absolute values of total economic loss, but rather a relative decile (1-10) ranking of grid cells based upon the calculated economic loss risks. This data is intended to provide insight into the relative frequency, distribution, and potential impact of global volcano hazard events to subnational distributions of GDP. WCS GeoTIFF ndh-volcano-total-economic-loss-risk-deciles EPSG:4326 CRS:84 -180.0 179.996 -58.0 84.989 povmap:povmap-global-subnational-infant-mortality-rates_2000 The Global Subnational Infant Mortality Rates consists of estimates of infant mortality rates for the year 2000. The infant mortality rate for a region or country is defined as the number of children who die before their first birthday for every 1,000 live births. The data products include a shapefile (vector data) of rates, grids (raster data) of rates (per 10,000 live births in order to preserve precision in integer format), births (the rate denominator) and deaths (the rate numerator), and a tabular dataset of the same and associated data. Over 10,000 national and subnational units are represented in the tabular and grid datasets, while the shapefile uses approximately 1,000 units in order to protect the intellectual property of source datasets for Brazil, China, and Mexico. This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF povmap-global-subnational-infant-mortality-rates_2000 EPSG:4326 CRS:84 -180.0 180.0 -58.0 85.0 povmap:povmap-global-subnational-prevalence-child-malnutrition The Global Subnational Prevalence of Child Malnutrition dataset consists of estimates of the percentage of children with weight-for-age z-scores that are more than two standard deviations below the median of the NCHS/CDC/WHO International Reference Population. Data are reported for the most recent year with subnational information available at the time of development. The data products include a shapefile (vector data) of percentage rates, grids (raster data) of rates (per thousand in order to preserve precision in integer format), the number of children under five (the rate denominator), and the number of underweight children under five (the rate numerator), and a tabular dataset of the same and associated data. This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF povmap-global-subnational-prevalence-child-malnutrition EPSG:4326 CRS:84 -180.0 180.0 -58.0 85.0 other:ramsar-centroids ramsar-centroids features EPSG:4326 CRS:84 -162.66775634844777 177.9166666670002 -54.74784871954516 81.20970399566674 other:ramsar-polygons ramsar-polygons features EPSG:4326 CRS:84 -163.32482910099992 169.26031494000006 -54.77429199099993 81.42047119200004 sdei:sdei-global-annual-avg-pm2-5-2001-2010 Global Annual PM2.5 Grids from MODIS and MISR Aerosol Optical Depth (AOD) data sets represent a series of annual average grids (2001-2010) of fine particulate matter (solid particles and liquid droplets) that were derived from MODIS and MISR AOD satellite data. Together the grids provide a continuous surface of concentrations in micrograms per cubic meter of particulate matter of 2.5 micrometers or smaller (PM2.5) for health and environmental research. The satellite AOD retrievals were converted to ground-level concentrations based on a conversion factor developed by researchers at Dalhousie University that accounts for spatial and temporal variations in aerosol properties and vertical structure as derived from a global 3-D chemical transport model (GEOS-Chem). The raster grids have a grid cell resolution of 30 arc-minutes (approximately 1 sq. km at the equator) and cover the world from 70°N to 60°S latitude. The grids were produced by researchers at Battelle Memorial Institute in collaboration with the Center for International Earth Science Information Network/Columbia University under a NASA-ROSES project entitled "Using Satellite Data to Develop Environmental Indicators: An Application of NASA Data Products to Support High Level Decisions for National and International Environmental Protection". Exposure to fine particles is associated with premature death as well as increased morbidity from respiratory and cardiovascular disease, especially in the elderly, young children, and those already suffering from these illnesses. The World Health Organization guideline for PM2.5 average annual exposure is less than or equal to 10.0 micrograms per cubic meter, whereas the US Environmental Protection Agency (EPA) primary standard is less than or equal to 12.0 micrograms per cubic meter. The EPA primary standards are designed to protect public health with an adequate margin of safety. WCS GeoTIFF sdei-global-annual-avg-pm2-5-2010 EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 species-v1:species-v1-global-amphibian-family-richness Amphibian Family Richness Map shows the spatial distribution of amphibian species richness within families across the globe. Grid values represent the sum of all amphibian species found at a given grid cell. WCS GeoTIFF species-v1-global-amphibian-family-richness EPSG:4326 CRS:84 -179.996 180.006 -58.004 84.999 other:srtm-elevation-above-sea-level_1km WCS GeoTIFF srtm_1km_nominus EPSG:4326 CRS:84 -180.0 179.99999999999983 -75.12283191281192 90.00216808718802 usgrid:usgrid-summary-file1-2000-msa_housingunitsf1density-2000 U.S. Census Grids (Summary File 1), 2000: Metropolitan Statistical Areas Housing Units Density U.S. Population Grids (Summary File 1), 2000: Metropolitan Statistical Areas contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats for 50 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000-msa_housingunitsf1density-2000 EPSG:4326 CRS:84 -124.0 -65.0 17.0 49.0 usgrid:usgrid-summary-file1-2000-msa_pct1personhousing-2000 U.S. Census Grids (Summary File 1), 2000: Metropolitan Statistical Areas Percent One Person Housing Units U.S. Population Grids (Summary File 1), 2000: Metropolitan Statistical Areas contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats for 50 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000-msa_pct1personhousing-2000 EPSG:4326 CRS:84 -124.0 -65.0 17.0 49.0 usgrid:usgrid-summary-file1-2000-msa_pctasian-2000 U.S. Census Grids (Summary File 1), 2000: Metropolitan Statistical Areas Percent of Population that is Asian American U.S. Population Grids (Summary File 1), 2000: Metropolitan Statistical Areas contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats for 50 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000-msa_pctasian-2000 EPSG:4326 CRS:84 -124.0 -65.0 17.0 49.0 usgrid:usgrid-summary-file1-2000-msa_pctblack-2000 U.S. Census Grids (Summary File 1), 2000: Metropolitan Statistical Areas Percent of Population that is Black U.S. Population Grids (Summary File 1), 2000: Metropolitan Statistical Areas contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats for 50 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000-msa_pctblack-2000 EPSG:4326 CRS:84 -124.0 -65.0 17.0 49.0 usgrid:usgrid-summary-file1-2000-msa_pctfemaleheadhousing-2000 U.S. Census Grids (Summary File 1), 2000: Metropolitan Statistical Areas Percent Female Headed Households with Children under 18 Years of Age U.S. Population Grids (Summary File 1), 2000: Metropolitan Statistical Areas contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats for 50 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000-msa_pctfemaleheadhousing-2000 EPSG:4326 CRS:84 -124.0 -65.0 17.0 49.0 usgrid:usgrid-summary-file1-2000-msa_pcthispanic-2000 U.S. Census Grids (Summary File 1), 2000: Metropolitan Statistical Areas Percent of Population Ethnically Hispanic or Latino U.S. Population Grids (Summary File 1), 2000: Metropolitan Statistical Areas contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats for 50 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000-msa_pcthispanic-2000 EPSG:4326 CRS:84 -124.0 -65.0 17.0 49.0 usgrid:usgrid-summary-file1-2000-msa_pctnativeamerican-2000 U.S. Census Grids (Summary File 1), 2000: Metropolitan Statistical Areas Percent of Population that is Native American, American Indian, or Alaska Native U.S. Population Grids (Summary File 1), 2000: Metropolitan Statistical Areas contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats for 50 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000-msa_pctnativeamerican-2000 EPSG:4326 CRS:84 -124.0 -65.0 17.0 49.0 usgrid:usgrid-summary-file1-2000-msa_pctnonhispblack-2000 U.S. Census Grids (Summary File 1), 2000: Metropolitan Statistical Areas Percent of Population that is Non-Hispanic Black U.S. Population Grids (Summary File 1), 2000: Metropolitan Statistical Areas contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats for 50 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000-msa_pctnonhispblack-2000 EPSG:4326 CRS:84 -124.0 -65.0 17.0 49.0 usgrid:usgrid-summary-file1-2000-msa_pctnonhispwhite-2000 U.S. Census Grids (Summary File 1), 2000: Metropolitan Statistical Areas Percent of Population that is Non-Hispanic White U.S. Population Grids (Summary File 1), 2000: Metropolitan Statistical Areas contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats for 50 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000-msa_pctnonhispwhite-2000 EPSG:4326 CRS:84 -124.0 -65.0 17.0 49.0 usgrid:usgrid-summary-file1-2000-msa_pctoccupiedhousingsf1-2000 U.S. Census Grids (Summary File 1), 2000: Metropolitan Statistical Areas Percent Occupied Housing Units U.S. Population Grids (Summary File 1), 2000: Metropolitan Statistical Areas contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats for 50 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000-msa_pctoccupiedhousingsf1-2000 EPSG:4326 CRS:84 -124.0 -65.0 17.0 49.0 usgrid:usgrid-summary-file1-2000-msa_pctownerhousing-2000 U.S. Census Grids (Summary File 1), 2000: Metropolitan Statistical Areas Percent Owner Occupied Housing Units U.S. Population Grids (Summary File 1), 2000: Metropolitan Statistical Areas contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats for 50 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000-msa_pctownerhousing-2000 EPSG:4326 CRS:84 -124.0 -65.0 17.0 49.0 usgrid:usgrid-summary-file1-2000-msa_pctpacificisland-2000 U.S. Census Grids (Summary File 1), 2000: Metropolitan Statistical Areas Percent of Population that is Pacific Islander or Hawaiian Native U.S. Population Grids (Summary File 1), 2000: Metropolitan Statistical Areas contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats for 50 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000-msa_pctpacificisland-2000 EPSG:4326 CRS:84 -124.0 -65.0 17.0 49.0 usgrid:usgrid-summary-file1-2000-msa_pctpop18to24-2000 U.S. Census Grids (Summary File 1), 2000: Metropolitan Statistical Areas Percent of Population 18 to 24 Years Old U.S. Population Grids (Summary File 1), 2000: Metropolitan Statistical Areas contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats for 50 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000-msa_pctpop18to24-2000 EPSG:4326 CRS:84 -124.0 -65.0 17.0 49.0 usgrid:usgrid-summary-file1-2000-msa_pctpop1to4-2000 U.S. Census Grids (Summary File 1), 2000: Metropolitan Statistical Areas Percent of Population 1 to 4 Years Old U.S. Population Grids (Summary File 1), 2000: Metropolitan Statistical Areas contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats for 50 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000-msa_pctpop1to4-2000 EPSG:4326 CRS:84 -124.0 -65.0 17.0 49.0 usgrid:usgrid-summary-file1-2000-msa_pctpop25to64-2000 U.S. Census Grids (Summary File 1), 2000: Metropolitan Statistical Areas Percent of Population 25 to 64 Years Old U.S. Population Grids (Summary File 1), 2000: Metropolitan Statistical Areas contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats for 50 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000-msa_pctpop25to64-2000 EPSG:4326 CRS:84 -124.0 -65.0 17.0 49.0 usgrid:usgrid-summary-file1-2000-msa_pctpop5to17-2000 U.S. Census Grids (Summary File 1), 2000: Metropolitan Statistical Areas Percent of Population 5 to 17 Years Old U.S. Population Grids (Summary File 1), 2000: Metropolitan Statistical Areas contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats for 50 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000-msa_pctpop5to17-2000 EPSG:4326 CRS:84 -124.0 -65.0 17.0 49.0 usgrid:usgrid-summary-file1-2000-msa_pctpop65to79-2000 U.S. Census Grids (Summary File 1), 2000: Metropolitan Statistical Areas Percent of Population 65 to 79 Years Old U.S. Population Grids (Summary File 1), 2000: Metropolitan Statistical Areas contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats for 50 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000-msa_pctpop65to79-2000 EPSG:4326 CRS:84 -124.0 -65.0 17.0 49.0 usgrid:usgrid-summary-file1-2000-msa_pctpop80andup-2000 U.S. Census Grids (Summary File 1), 2000: Metropolitan Statistical Areas Percent of Population 80 Years of Age and Older U.S. Census Grids (Summary File 1), 2000: Metropolitan Statistical Areas contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats. The grids have a resolution of 30 arc-seconds (0.0083 decimal degrees), or approximately 1 square km. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000-msa_pctpop80andup-2000 EPSG:4326 CRS:84 -124.0 -65.0 17.0 49.0 usgrid:usgrid-summary-file1-2000-msa_pctpopunder1-2000 U.S. Census Grids (Summary File 1), 2000: Metropolitan Statistical Areas Percent of Population Under 1 Year of Age U.S. Population Grids (Summary File 1), 2000: Metropolitan Statistical Areas contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats for 50 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000-msa_pctpopunder1-2000 EPSG:4326 CRS:84 -124.0 -65.0 17.0 49.0 usgrid:usgrid-summary-file1-2000-msa_pctvacanthousing-2000 U.S. Census Grids (Summary File 1), 2000: Metropolitan Statistical Areas Percent Vacant or Seasonal Housing Units U.S. Population Grids (Summary File 1), 2000: Metropolitan Statistical Areas contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats for 50 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000-msa_pctvacanthousing-2000 EPSG:4326 CRS:84 -124.0 -65.0 17.0 49.0 usgrid:usgrid-summary-file1-2000-msa_pctwhite-2000 U.S. Census Grids (Summary File 1), 2000: Metropolitan Statistical Areas Percent of Population that is White U.S. Population Grids (Summary File 1), 2000: Metropolitan Statistical Areas contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats for 50 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000-msa_pctwhite-2000 EPSG:4326 CRS:84 -124.0 -65.0 17.0 49.0 usgrid:usgrid-summary-file1-2000-msa_popsf1density-2000 U.S. Census Grids (Summary File 1), 2000: Metropolitan Statistical Areas Population Density U.S. Population Grids (Summary File 1), 2000: Metropolitan Statistical Areas contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats for 50 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000-msa_popsf1density-2000 EPSG:4326 CRS:84 -124.0 -65.0 17.0 49.0 usgrid:usgrid-summary-file1-2000_usa-housingunitsf1density-2000 U.S. Census Grids (Summary File 1), 2000 Housing Units Density U.S. Census Grids (Summary File 1), 2000 contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats. The grids have a resolution of 30 arc-seconds (0.0083 decimal degrees), or approximately 1 square km. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000_usa-housingunitsf1density-2000 EPSG:4326 CRS:84 -180.0 -65.0 17.0 72.0 usgrid:usgrid-summary-file1-2000_usa-pct1personhousing-2000 U.S. Census Grids (Summary File 1), 2000 Percent One Person Housing Units U.S. Census Grids (Summary File 1), 2000 contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats. The grids have a resolution of 30 arc-seconds (0.0083 decimal degrees), or approximately 1 square km. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000_usa-pct1personhousing-2000 EPSG:4326 CRS:84 -180.0 -65.0 17.0 72.0 usgrid:usgrid-summary-file1-2000_usa-pctasian-2000 U.S. Census Grids (Summary File 1), 2000 Percent of Population that is Asian American U.S. Census Grids (Summary File 1), 2000 contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats. The grids have a resolution of 30 arc-seconds (0.0083 decimal degrees), or approximately 1 square km. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000_usa-pctasian-2000 EPSG:4326 CRS:84 -180.0 -65.0 17.0 72.0 usgrid:usgrid-summary-file1-2000_usa-pctblack-2000 U.S. Census Grids (Summary File 1), 2000 Percent of Population that is Black or African American U.S. Census Grids (Summary File 1), 2000 contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats. The grids have a resolution of 30 arc-seconds (0.0083 decimal degrees), or approximately 1 square km. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000_usa-pctblack-2000 EPSG:4326 CRS:84 -180.0 -65.0 17.0 72.0 usgrid:usgrid-summary-file1-2000_usa-pctfemaleheadhousing-2000 U.S. Census Grids (Summary File 1), 2000 Percent Female Headed Households with Children under 18 Years of Age U.S. Census Grids (Summary File 1), 2000 contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats. The grids have a resolution of 30 arc-seconds (0.0083 decimal degrees), or approximately 1 square km. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000_usa-pctfemaleheadhousing-2000 EPSG:4326 CRS:84 -180.0 -65.0 17.0 72.0 usgrid:usgrid-summary-file1-2000_usa-pcthispanic-2000 U.S. Census Grids (Summary File 1), 2000 Percent of Population Ethnically Hispanic or Latino U.S. Census Grids (Summary File 1), 2000 contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats. The grids have a resolution of 30 arc-seconds (0.0083 decimal degrees), or approximately 1 square km. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000_usa-pcthispanic-2000 EPSG:4326 CRS:84 -180.0 -65.0 17.0 72.0 usgrid:usgrid-summary-file1-2000_usa-pctnativeamerican-2000 U.S. Census Grids (Summary File 1), 2000 Percent of Population that is Native American, American Indian, or Alaska Native U.S. Census Grids (Summary File 1), 2000 contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats. The grids have a resolution of 30 arc-seconds (0.0083 decimal degrees), or approximately 1 square km. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000_usa-pctnativeamerican-2000 EPSG:4326 CRS:84 -180.0 -65.0 17.0 72.0 usgrid:usgrid-summary-file1-2000_usa-pctnonhispblack-2000 U.S. Census Grids (Summary File 1), 2000 Percent of Population that is Non-Hispanic Black U.S. Census Grids (Summary File 1), 2000 contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats. The grids have a resolution of 30 arc-seconds (0.0083 decimal degrees), or approximately 1 square km. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000_usa-pctnonhispblack-2000 EPSG:4326 CRS:84 -180.0 -65.0 17.0 72.0 usgrid:usgrid-summary-file1-2000_usa-pctnonhispwhite-2000 U.S. Census Grids (Summary File 1), 2000 Percent of Population that is Non-Hispanic White U.S. Census Grids (Summary File 1), 2000 contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats. The grids have a resolution of 30 arc-seconds (0.0083 decimal degrees), or approximately 1 square km. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000_usa-pctnonhispwhite-2000 EPSG:4326 CRS:84 -180.0 -65.0 17.0 72.0 usgrid:usgrid-summary-file1-2000_usa-pctoccupiedhousingsf1-2000 U.S. Census Grids (Summary File 1), 2000 Percent Occupied Housing Units U.S. Census Grids (Summary File 1), 2000 contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats. The grids have a resolution of 30 arc-seconds (0.0083 decimal degrees), or approximately 1 square km. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000_usa-pctoccupiedhousingsf1-2000 EPSG:4326 CRS:84 -180.0 -65.0 17.0 72.0 usgrid:usgrid-summary-file1-2000_usa-pctownerhousing-2000 U.S. Census Grids (Summary File 1), 2000 Percent Owner Occupied Housing Units U.S. Census Grids (Summary File 1), 2000 contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats. The grids have a resolution of 30 arc-seconds (0.0083 decimal degrees), or approximately 1 square km. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000_usa-pctownerhousing-2000 EPSG:4326 CRS:84 -180.0 -65.0 17.0 72.0 usgrid:usgrid-summary-file1-2000_usa-pctpacificisland-2000 U.S. Census Grids (Summary File 3), 2000 Percent of Population that is Pacific Islander or Hawaiian Native U.S. Census Grids (Summary File 3), 2000 contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats. The grids have a resolution of 30 arc-seconds (0.0083 decimal degrees), or approximately 1 square km. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000_usa-pctpacificisland-2000 EPSG:4326 CRS:84 -180.0 -65.0 17.0 72.0 usgrid:usgrid-summary-file1-2000_usa-pctpop18to24-2000 U.S. Census Grids (Summary File 1), 2000 Percent of Population 18 to 24 Years Old U.S. Census Grids (Summary File 1), 2000 contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats. The grids have a resolution of 30 arc-seconds (0.0083 decimal degrees), or approximately 1 square km. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000_usa-pctpop18to24-2000 EPSG:4326 CRS:84 -180.0 -65.0 17.0 72.0 usgrid:usgrid-summary-file1-2000_usa-pctpop1to4-2000 U.S. Census Grids (Summary File 1), 2000 Percent of Population 1 to 4 Years Old U.S. Census Grids (Summary File 1), 2000 contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats. The grids have a resolution of 30 arc-seconds (0.0083 decimal degrees), or approximately 1 square km. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000_usa-pctpop1to4-2000 EPSG:4326 CRS:84 -180.0 -65.0 17.0 72.0 usgrid:usgrid-summary-file1-2000_usa-pctpop25to64-2000 U.S. Census Grids (Summary File 1), 2000 Percent of Population 25 to 64 Years Old U.S. Census Grids (Summary File 1), 2000 contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats. The grids have a resolution of 30 arc-seconds (0.0083 decimal degrees), or approximately 1 square km. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000_usa-pctpop25to64-2000 EPSG:4326 CRS:84 -180.0 -65.0 17.0 72.0 usgrid:usgrid-summary-file1-2000_usa-pctpop5to17-2000 U.S. Census Grids (Summary File 1), 2000 Percent of Population 5 to 17 Years Old U.S. Census Grids (Summary File 1), 2000 contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats. The grids have a resolution of 30 arc-seconds (0.0083 decimal degrees), or approximately 1 square km. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000_usa-pctpop5to17-2000 EPSG:4326 CRS:84 -180.0 -65.0 17.0 72.0 usgrid:usgrid-summary-file1-2000_usa-pctpop65to79-2000 U.S. Census Grids (Summary File 1), 2000 Percent of Population 65 to 79 Years Old U.S. Census Grids (Summary File 1), 2000 contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats. The grids have a resolution of 30 arc-seconds (0.0083 decimal degrees), or approximately 1 square km. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000_usa-pctpop65to79-2000 EPSG:4326 CRS:84 -180.0 -65.0 17.0 72.0 usgrid:usgrid-summary-file1-2000_usa-pctpop80andup-2000 U.S. Census Grids (Summary File 1), 2000 Percent of Population 80 Years of Age and Older U.S. Census Grids (Summary File 1), 2000 contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats. The grids have a resolution of 30 arc-seconds (0.0083 decimal degrees), or approximately 1 square km. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000_usa-pctpop80andup-2000 EPSG:4326 CRS:84 -180.0 -65.0 17.0 72.0 usgrid:usgrid-summary-file1-2000_usa-pctpopunder1-2000 U.S. Census Grids (Summary File 1), 2000 Percent of Population Under 1 Year of Age U.S. Census Grids (Summary File 1), 2000 contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats. The grids have a resolution of 30 arc-seconds (0.0083 decimal degrees), or approximately 1 square km. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000_usa-pctpopunder1-2000 EPSG:4326 CRS:84 -180.0 -65.0 17.0 72.0 usgrid:usgrid-summary-file1-2000_usa-pctvacanthousing-2000 U.S. Census Grids (Summary File 1), 2000 Percent Vacant or Seasonal Housing Units U.S. Census Grids (Summary File 1), 2000 contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats. The grids have a resolution of 30 arc-seconds (0.0083 decimal degrees), or approximately 1 square km. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000_usa-pctvacanthousing-2000 EPSG:4326 CRS:84 -180.0 -65.0 17.0 72.0 usgrid:usgrid-summary-file1-2000_usa-pctwhite-2000 U.S. Census Grids (Summary File 1), 2000 Percent of Population that is White U.S. Census Grids (Summary File 1), 2000 contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats. The grids have a resolution of 30 arc-seconds (0.0083 decimal degrees), or approximately 1 square km. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000_usa-pctwhite-2000 EPSG:4326 CRS:84 -180.0 -65.0 17.0 72.0 usgrid:usgrid-summary-file1-2000_usa-popsf1density-2000 U.S. Census Grids (Summary File 1), 2000 Population Density U.S. Census Grids (Summary File 1), 2000 contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats. The grids have a resolution of 30 arc-seconds (0.0083 decimal degrees), or approximately 1 square km. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file1-2000_usa-popsf1density-2000 EPSG:4326 CRS:84 -180.0 -65.0 17.0 72.0 usgrid:usgrid-summary-file3-2000-msa_householdsdensity-2000 U.S. Census Grids (Summary File 3), 2000: Metropolitan Statistical Areas Household Density U.S. Population Grids (Summary File 3), 2000: Metropolitan Statistical Areas contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats for 50 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) WCS GeoTIFF usgrid-summary-file3-2000-msa_householdsdensity-2000 EPSG:4326 CRS:84 -124.0 -65.0 17.0 49.0 usgrid:usgrid-summary-file3-2000-msa_housingunitsf3density-2000 U.S. Census Grids (Summary File 3), 2000: Metropolitan Statistical Areas Housing Units Density U.S. Population Grids (Summary File 3), 2000: Metropolitan Statistical Areas contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats for 50 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) WCS GeoTIFF usgrid-summary-file3-2000-msa_housingunitsf3density-2000 EPSG:4326 CRS:84 -124.0 -65.0 17.0 49.0 usgrid:usgrid-summary-file3-2000-msa_pcteducationbahigher-2000 U.S. Census Grids (Summary File 3), 2000: Metropolitan Statistical Areas Percent of Population with a Bachelor's Degree or Higher U.S. Population Grids (Summary File 3), 2000: Metropolitan Statistical Areas contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats for 50 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file3-2000-msa_pcteducationbahigher-2000 EPSG:4326 CRS:84 -124.0 -65.0 17.0 49.0 usgrid:usgrid-summary-file3-2000-msa_pcteducationhshigher-2000 U.S. Census Grids (Summary File 3), 2000: Metropolitan Statistical Areas Percent of Population with a High School Diploma or Higher U.S. Population Grids (Summary File 3), 2000: Metropolitan Statistical Areas contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats for 50 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) WCS GeoTIFF usgrid-summary-file3-2000-msa_pcteducationhshigher-2000 EPSG:4326 CRS:84 -124.0 -65.0 17.0 49.0 usgrid:usgrid-summary-file3-2000-msa_pctforeign-2000 U.S. Census Grids (Summary File 3), 2000: Metropolitan Statistical Areas Percent of Population that is Foreign Born U.S. Population Grids (Summary File 3), 2000: Metropolitan Statistical Areas contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats for 50 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file3-2000-msa_pctforeign-2000 EPSG:4326 CRS:84 -124.0 -65.0 17.0 49.0 usgrid:usgrid-summary-file3-2000-msa_pcthouseholdlinguisticisolation-2000 U.S. Census Grids (Summary File 3), 2000: Metropolitan Statistical Areas Percent of Households that are Linguistically Isolated U.S. Population Grids (Summary File 3), 2000: Metropolitan Statistical Areas contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats for 50 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file3-2000-msa_pcthouseholdlinguisticisolation-2000 EPSG:4326 CRS:84 -124.0 -65.0 17.0 49.0 usgrid:usgrid-summary-file3-2000-msa_pcthousingbuilt50to69-2000 U.S. Census Grids (Summary File 3), 2000: Metropolitan Statistical Areas Percent of Housing Units Built Bewteen 1950 and 1969 U.S. Population Grids (Summary File 3), 2000: Metropolitan Statistical Areas contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats for 50 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file3-2000-msa_pcthousingbuilt50to69-2000 EPSG:4326 CRS:84 -124.0 -65.0 17.0 49.0 usgrid:usgrid-summary-file3-2000-msa_pcthousingbuilt70to89-2000 U.S. Census Grids (Summary File 3), 2000: Metropolitan Statistical Areas Percent of Housing Units Built Between 1970 and 1989 U.S. Population Grids (Summary File 3), 2000: Metropolitan Statistical Areas contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats for 50 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) WCS GeoTIFF usgrid-summary-file3-2000-msa_pcthousingbuilt70to89-2000 EPSG:4326 CRS:84 -124.0 -65.0 17.0 49.0 usgrid:usgrid-summary-file3-2000-msa_pcthousingbuilt90to00-2000 U.S. Census Grids (Summary File 3), 2000: Metropolitan Statistical Areas Percent of Housing Units Built Bewteen 1990 and 2000 U.S. Population Grids (Summary File 3), 2000: Metropolitan Statistical Areas contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats for 50 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file3-2000-msa_pcthousingbuilt90to00-2000 EPSG:4326 CRS:84 -124.0 -65.0 17.0 49.0 usgrid:usgrid-summary-file3-2000-msa_pcthousingbuiltbefore50-2000 U.S. Census Grids (Summary File 3), 2000: Metropolitan Statistical Areas Percent of Housing Units Built Before 1950 U.S. Population Grids (Summary File 3), 2000: Metropolitan Statistical Areas contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats for 50 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file3-2000-msa_pcthousingbuiltbefore50-2000 EPSG:4326 CRS:84 -124.0 -65.0 17.0 49.0 usgrid:usgrid-summary-file3-2000-msa_pctoccupiedhousingnocar-2000 U.S. Census Grids (Summary File 3), 2000: Metropolitan Statistical Areas Percent of Occupied Housing Units Without a Car U.S. Population Grids (Summary File 3), 2000: Metropolitan Statistical Areas contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats for 50 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file3-2000-msa_pctoccupiedhousingnocar-2000 EPSG:4326 CRS:84 -124.0 -65.0 17.0 49.0 usgrid:usgrid-summary-file3-2000-msa_pctoccupiedhousingsf3-2000 U.S. Census Grids (Summary File 3), 2000: Metropolitan Statistical Areas Percent Occupied Housing Units U.S. Population Grids (Summary File 3), 2000: Metropolitan Statistical Areas contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats for 50 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file3-2000-msa_pctoccupiedhousingsf3-2000 EPSG:4326 CRS:84 -124.0 -65.0 17.0 49.0 usgrid:usgrid-summary-file3-2000-msa_pctpop25andover-2000 U.S. Census Grids (Summary File 3), 2000: Metropolitan Statistical Areas Percent of Population Aged 25 Years and Older U.S. Population Grids (Summary File 3), 2000: Metropolitan Statistical Areas contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats for 50 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file3-2000-msa_pctpop25andover-2000 EPSG:4326 CRS:84 -124.0 -65.0 17.0 49.0 usgrid:usgrid-summary-file3-2000-msa_pctpopbelow200pctpovlevel-2000 U.S. Census Grids (Summary File 3), 2000: Metropolitan Statistical Areas Percent of Population Below the 200 Percent Poverty Level U.S. Population Grids (Summary File 3), 2000: Metropolitan Statistical Areas contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats for 50 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file3-2000-msa_pctpopbelow200pctpovlevel-2000 EPSG:4326 CRS:84 -124.0 -65.0 17.0 49.0 usgrid:usgrid-summary-file3-2000-msa_pctpopbelow50pctpovlevel-2000 U.S. Census Grids (Summary File 3), 2000: Metropolitan Statistical Areas Percent of Population Below the 50 Percent Poverty Level U.S. Population Grids (Summary File 3), 2000: Metropolitan Statistical Areas contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats for 50 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file3-2000-msa_pctpopbelow50pctpovlevel-2000 EPSG:4326 CRS:84 -124.0 -65.0 17.0 49.0 usgrid:usgrid-summary-file3-2000-msa_pctpopbelowpovlevel-2000 U.S. Census Grids (Summary File 3), 2000: Metropolitan Statistical Areas Percent of Population Below the Poverty Level U.S. Population Grids (Summary File 3), 2000: Metropolitan Statistical Areas contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats for 50 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file3-2000-msa_pctpopbelowpovlevel-2000 EPSG:4326 CRS:84 -124.0 -65.0 17.0 49.0 usgrid:usgrid-summary-file3-2000-msa_pctpoppovleveldetermined-2000 U.S. Census Grids (Summary File 3), 2000: Metropolitan Statistical Areas Percent of Population where Poverty Level is Determined U.S. Population Grids (Summary File 3), 2000: Metropolitan Statistical Areas contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats for 50 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file3-2000-msa_pctpoppovleveldetermined-2000 EPSG:4326 CRS:84 -124.0 -65.0 17.0 49.0 usgrid:usgrid-summary-file3-2000-msa_popsf3density-2000 U.S. Census Grids (Summary File 3), 2000: Metropolitan Statistical Areas Population Density U.S. Population Grids (Summary File 3), 2000: Metropolitan Statistical Areas contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats for 50 metropolitan statistical areas with at least one million in population. The grids have a resolution of 7.5 arc-seconds (0.002075 decimal degrees), or approximately 250 square meters. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file3-2000-msa_popsf3density-2000 EPSG:4326 CRS:84 -124.0 -65.0 17.0 49.0 usgrid:usgrid-summary-file3-2000_usa-householdsdensity-2000 U.S. Census Grids (Summary File 3), 2000 Household Density U.S. Census Grids (Summary File 3), 2000 contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats. The grids have a resolution of 30 arc-seconds (0.0083 decimal degrees), or approximately 1 square km. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file3-2000_usa-householdsdensity-2000 EPSG:4326 CRS:84 -180.0 -65.0 17.0 72.0 usgrid:usgrid-summary-file3-2000_usa-housingunitsf3density-2000 U.S. Census Grids (Summary File 3), 2000 Housing Units Density U.S. Census Grids (Summary File 3), 2000 contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats. The grids have a resolution of 30 arc-seconds (0.0083 decimal degrees), or approximately 1 square km. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file3-2000_usa-housingunitsf3density-2000 EPSG:4326 CRS:84 -180.0 -65.0 17.0 72.0 usgrid:usgrid-summary-file3-2000_usa-pcteducationbahigher-2000 U.S. Census Grids (Summary File 3), 2000 Percent of Population with a Bachelor's Degree or Higher U.S. Census Grids (Summary File 3), 2000 contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats. The grids have a resolution of 30 arc-seconds (0.0083 decimal degrees), or approximately 1 square km. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file3-2000_usa-pcteducationbahigher-2000 EPSG:4326 CRS:84 -180.0 -65.0 17.0 72.0 usgrid:usgrid-summary-file3-2000_usa-pcteducationhshigher-2000 U.S. Census Grids (Summary File 3), 2000 Percent of Population with a High School Diploma or Higher U.S. Census Grids (Summary File 3), 2000 contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats. The grids have a resolution of 30 arc-seconds (0.0083 decimal degrees), or approximately 1 square km. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file3-2000_usa-pcteducationhshigher-2000 EPSG:4326 CRS:84 -180.0 -65.0 17.0 72.0 usgrid:usgrid-summary-file3-2000_usa-pctforeign-2000 U.S. Census Grids (Summary File 3), 2000 Percent of Population that is Foreign Born U.S. Census Grids (Summary File 3), 2000 contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats. The grids have a resolution of 30 arc-seconds (0.0083 decimal degrees), or approximately 1 square km. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file3-2000_usa-pctforeign-2000 EPSG:4326 CRS:84 -180.0 -65.0 17.0 72.0 usgrid:usgrid-summary-file3-2000_usa-pcthouseholdlinguisticisolation-2000 U.S. Census Grids (Summary File 3), 2000 Percent of Households that are Linguistically Isolated U.S. Census Grids (Summary File 3), 2000 contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats. The grids have a resolution of 30 arc-seconds (0.0083 decimal degrees), or approximately 1 square km. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file3-2000_usa-pcthouseholdlinguisticisolation-2000 EPSG:4326 CRS:84 -180.0 -65.0 17.0 72.0 usgrid:usgrid-summary-file3-2000_usa-pcthousingbuilt50to69-2000 U.S. Census Grids (Summary File 3), 2000 Percent of Housing Units Built Bewteen 1950 and 1969 U.S. Census Grids (Summary File 3), 2000 contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats. The grids have a resolution of 30 arc-seconds (0.0083 decimal degrees), or approximately 1 square km. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file3-2000_usa-pcthousingbuilt50to69-2000 EPSG:4326 CRS:84 -180.0 -65.0 17.0 72.0 usgrid:usgrid-summary-file3-2000_usa-pcthousingbuilt70to89-2000 U.S. Census Grids (Summary File 3), 2000 Percent of Housing Units Built Bewteen 1970 and 1989 U.S. Census Grids (Summary File 3), 2000 contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats. The grids have a resolution of 30 arc-seconds (0.0083 decimal degrees), or approximately 1 square km. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file3-2000_usa-pcthousingbuilt70to89-2000 EPSG:4326 CRS:84 -180.0 -65.0 17.0 72.0 usgrid:usgrid-summary-file3-2000_usa-pcthousingbuilt90to00-2000 U.S. Census Grids (Summary File 3), 2000 Percent of Housing Units Built Bewteen 1990 and 2000 U.S. Census Grids (Summary File 3), 2000 contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats. The grids have a resolution of 30 arc-seconds (0.0083 decimal degrees), or approximately 1 square km. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file3-2000_usa-pcthousingbuilt90to00-2000 EPSG:4326 CRS:84 -180.0 -65.0 17.0 72.0 usgrid:usgrid-summary-file3-2000_usa-pcthousingbuiltbefore50-2000 U.S. Census Grids (Summary File 3), 2000 Percent of Housing Units Built Before 1950 U.S. Census Grids (Summary File 3), 2000 contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats. The grids have a resolution of 30 arc-seconds (0.0083 decimal degrees), or approximately 1 square km. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file3-2000_usa-pcthousingbuiltbefore50-2000 EPSG:4326 CRS:84 -180.0 -65.0 17.0 72.0 usgrid:usgrid-summary-file3-2000_usa-pctoccupiedhousingnocar-2000 U.S. Census Grids (Summary File 3), 2000 Percent of Occupied Housing Units Without a Car U.S. Census Grids (Summary File 3), 2000 contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats. The grids have a resolution of 30 arc-seconds (0.0083 decimal degrees), or approximately 1 square km. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file3-2000_usa-pctoccupiedhousingnocar-2000 EPSG:4326 CRS:84 -180.0 -65.0 17.0 72.0 usgrid:usgrid-summary-file3-2000_usa-pctoccupiedhousingsf3-2000 U.S. Census Grids (Summary File 3), 2000 Percent Occupied Housing Units U.S. Census Grids (Summary File 3), 2000 contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats. The grids have a resolution of 30 arc-seconds (0.0083 decimal degrees), or approximately 1 square km. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file3-2000_usa-pctoccupiedhousingsf3-2000 EPSG:4326 CRS:84 -180.0 -65.0 17.0 72.0 usgrid:usgrid-summary-file3-2000_usa-pctpop25andover-2000 U.S. Census Grids (Summary File 3), 2000 Percent of Population Aged 25 Years and Older U.S. Census Grids (Summary File 3), 2000 contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats. The grids have a resolution of 30 arc-seconds (0.0083 decimal degrees), or approximately 1 square km. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file3-2000_usa-pctpop25andover-2000 EPSG:4326 CRS:84 -180.0 -65.0 17.0 72.0 usgrid:usgrid-summary-file3-2000_usa-pctpopbelow200pctpovlevel-2000 U.S. Census Grids (Summary File 3), 2000 Percent of Population Below the 200 Percent Poverty Level U.S. Census Grids (Summary File 3), 2000 contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats. The grids have a resolution of 30 arc-seconds (0.0083 decimal degrees), or approximately 1 square km. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file3-2000_usa-pctpopbelow200pctpovlevel-2000 EPSG:4326 CRS:84 -180.0 -65.0 17.0 72.0 usgrid:usgrid-summary-file3-2000_usa-pctpopbelow50pctpovlevel-2000 U.S. Census Grids (Summary File 3), 2000 Percent of Population Below the 50 Percent Poverty Level U.S. Census Grids (Summary File 3), 2000 contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats. The grids have a resolution of 30 arc-seconds (0.0083 decimal degrees), or approximately 1 square km. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file3-2000_usa-pctpopbelow50pctpovlevel-2000 EPSG:4326 CRS:84 -180.0 -65.0 17.0 72.0 usgrid:usgrid-summary-file3-2000_usa-pctpopbelowpovlevel-2000 U.S. Census Grids (Summary File 3), 2000 Percent of Population Below the Poverty Level U.S. Census Grids (Summary File 3), 2000 contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats. The grids have a resolution of 30 arc-seconds (0.0083 decimal degrees), or approximately 1 square km. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file3-2000_usa-pctpopbelowpovlevel-2000 EPSG:4326 CRS:84 -180.0 -65.0 17.0 72.0 usgrid:usgrid-summary-file3-2000_usa-pctpoppovleveldetermined-2000 U.S. Census Grids (Summary File 3), 2000 Percent of Population where Poverty Level is Determined U.S. Census Grids (Summary File 3), 2000 contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats. The grids have a resolution of 30 arc-seconds (0.0083 decimal degrees), or approximately 1 square km. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file3-2000_usa-pctpoppovleveldetermined-2000 EPSG:4326 CRS:84 -180.0 -65.0 17.0 72.0 usgrid:usgrid-summary-file3-2000_usa-popsf3density-2000 U.S. Census Grids (Summary File 3), 2000 Population Density U.S. Census Grids (Summary File 3), 2000 contain grids of demographic and socioeconomic data from the year 2000 U.S. census in ASCII and geotiff formats. The grids have a resolution of 30 arc-seconds (0.0083 decimal degrees), or approximately 1 square km. The gridded variables are based on census block geography from Census 2000 TIGER/Line Files and census variables (population, households, and housing variables). This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN). WCS GeoTIFF usgrid-summary-file3-2000_usa-popsf3density-2000 EPSG:4326 CRS:84 -180.0 -65.0 17.0 72.0 other:wcmc-world-database-of-protected-areas This protected areas mask is a modified version of the World Database of Protected Areas (WDPA) Annual Release 2007 (web-download version), December 2007.The WDPA is a joint product of UNEP and IUCN, prepared by UNEP-WCMC, supported by IUCN WCPA and working with Governments, the Secretariats of MEAs and collaborating NGOs. The protected areas mask was created from national and international protected areas in the WDPA, excluding historical, archaeological, or cultural sites. The centroids of protected areas without boundary information were buffered according to the size of the protected area, and these buffered points were then merged with the protected areas with boundary information (polygons). WCS GeoTIFF wcmc-world-database-of-protected-areas EPSG:4326 CRS:84 -180.0 180.0 -55.749 83.634 wildareas-v2:wildareas-v2-human-footprint-geographic The Global Human Footprint Dataset of the Last of the Wild Project, Version 2, 2005 (LWP-2) is the Human Influence Index (HII) normalized by biome and realm. The HII is a global dataset of 1-kilometer grid cells, created from nine global data layers covering human population pressure (population density), human land use and infrastructure (built-up areas, nighttime lights, land use/land cover), and human access (coastlines, roads, railroads, navigable rivers). The dataset is produced by the Wildlife Conservation Society (WCS) and the Columbia University Center for International Earth Science Information Network (CIESIN) and is available in the Geographic Coordinate system. WCS GeoTIFF wildareas-v2-human-footprint-geographic EPSG:4326 CRS:84 -180.0 180.0 -89.919 89.931 wildareas-v2:wildareas-v2-human-influence-index-geographic The Global Human Influence Index Dataset of the Last of the Wild Project, Version 2, 2005 (LWP-2) is a global dataset of 1-kilometer grid cells, created from nine global data layers covering human population pressure (population density), human land use and infrastructure (built-up areas, nighttime lights, land use/land cover), and human access (coastlines, roads, railroads, navigable rivers). The dataset is produced by the Wildlife Conservation Society (WCS) and the Columbia University Center for International Earth Science Information Network (CIESIN) and is available in the Geographic Coordinate system. WCS GeoTIFF wildareas-v2-human-influence-index-geographic EPSG:4326 CRS:84 -180.0 180.008 -89.919 89.931 wildareas-v2:wildareas-v2-last-of-the-wild-geographic This map depicts the 825 terrestrial ecoregions of the globe. Ecoregions are relatively large units of land containing distinct assemblages of natural communities and species, with boundaries that approximate the original extent of natural communities prior to major land-use change. This comprehensive, global map provides a useful framework for conducting biogeographical or macroecological research, for identifying areas of outstanding biodiversity and conservation priority, for assessing the representation and gaps in conservation efforts worldwide, and for communicating the global distribution of natural communities on earth. We have based ecoregion delineations on hundreds of previous biogeographical studies, and refined and synthesized existing information in regional workshops over 10 years to assemble the global dataset. Ecoregions are nested within two higher-order classifications: biomes (14) and biogeographic realms (8). Together, these nested classification levels provide a framework for comparison among units and the identification of representative habitats and species assemblages. WCS GeoTIFF wildareas-v2-last-of-the-wild-geographic EPSG:4326 CRS:84 -180.0 180.0 -55.986 83.623 other:wwf-terrestrial-biomes This layer depicts the 16 terrestrial biomes used in the 2007 NRMI Natural Resource Management Index (NRMI). The biomes are derived from the World Wildlife Fund (WWF) ecoregions layer. EPSG:4326 CRS:84 -180.0 180.0 -89.892 83.623 cartographic:national-boundaries Layer-Group type layer: cartographic:national-boundaries EPSG:4326 -180.0 180.0 -55.792 83.667