Data sets and related data products and services provided by SEDAC managed by the NASA Earth Science Data and Information System (ESDIS) project. SEDAC is one of the Earth Observing System Data and Information System (EOSDIS) Distributed Active Archive Centers (DAACs), part of the ESDIS project.

About SEDAC. http://sedac.ciesin.columbia.edu/about, Retrieved 27 Oct 2020.

U.S. Population Grids (Summary File 1), 2000: New Orleans Metropolitan Statistical Area, Alpha Version contains an ARC/INFO Workspace with grids of demographic data from the 2000 census. 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) from Summary File 1. This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN).

The 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 data set. 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 set 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).

The National Aggregates of Geospatial Data Collection: Population, Landscape, And Climate Estimates, Version 2 (PLACE II) data set 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 data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN).

The Rio to Johannesburg Dashboard of Sustainable Development Indicators portion of the Compendium of Environmental Sustainability Indicator Collections contains 35 Commission on Sustainable Development (CSD) indicators for 202 countries. Commonly known as the RioJo Dashboard, indicators are from the CSD Thematic Framework from the Rio Summit (1992 UN conference on the Environment and Development) to the time of the Johannesburg Summit in 2000. The data are distributed by the Columbia University Center for International Earth Science Information Network (CIESIN).

The Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11 consists of estimates of human population density (number of persons per square kilometer) based on counts consistent with national censuses and population registers, for the years 2000, 2005, 2010, 2015, and 2020.�A proportional allocation gridding algorithm, utilizing approximately 13.5 million national and sub-national administrative Units, was used to assign population counts to 30 arc-second grid cells. The population density rasters were created by dividing the population count raster for a given target year by the land area raster. The data files were produced as global rasters at 30 arc-second (~1 km at the equator) resolution. To enable faster global processing, and in support of research commUnities, the 30 arc-second count data were aggregated to 2.5 arc-minute, 15 arc-minute, 30 arc-minute and 1 degree resolutions to produce density rasters at these resolutions.

The Urban Place Time-Series Population of Mexico contains population counts for more than 700 urban centers every 10 years from 1921 through 1990. The urban centers include metropolitan, conurbation, and city areas with more than 5,000 inhabitants as of 1980. This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN).

The U.S. Social Vulnerability Index Grids, Revision 01 data set contains gridded layers for the overall Centers for Disease Control and Prevention (CDC) Social Vulnerability Index (SVI) using four sub-category themes (Socioeconomic, Household Composition & Disability, Minority Status & Language, and Housing Type & Transportation) based on census tract level inputs from 15 variables for the years 2000, 2010, 2014, 2016, 2018, and 2020. SVI values range between 0 and 1 based on their percentile position among all census tracts in the U.S., with 0 representing lowest vulnerability census tracts and 1 representing highest vulnerability census tracts. SEDAC has gridded these vector inputs to create 1 kilometer spatial resolution raster surfaces allowing users to obtain vulnerability metrics for any user-defined area within the U.S. Utilizing inputs from CIESIN's Gridded Population of the World, Version 4 (GPWv4) Revision 11 data sets, a mask is applied for water, and optionally, for no population. The data are provided in two different projection formats, NAD83 as a U.S. specific standard, and WGS84 as a global standard. The goal of the SVI is to help identify vulnerable commUnities by ranking them on these inputs across the U.S.

This link provides information and additional metadata related to the NASA Socioeconomic Data and Applications Center (SEDAC) Global Volcano Hazard Frequency and Distribution dataset. A direct download is available at http://sedac.ciesin.columbia.edu/downloads/data/ndh/ndh-volcano-hazard-frequency-distribution/gdvol.zip

The Global Gridded Relative Deprivation Index (GRDI), Version 1 (GRDIv1) data set characterizes the relative levels of multidimensional deprivation and poverty in each 30 arc-second (~1 km) pixel, where a value of 100 represents the highest level of deprivation and a value of 0 the lowest. GRDIv1 is built from sociodemographic and satellite data inputs that were spatially harmonized, indexed, and weighted into six main components to produce the final index raster. Inputs were selected from the best-available data that either continuously vary across space or have at least administrative level 1 (provincial/state) resolution, and which have global spatial coverage.

The Global Population Density Grid Time Series Estimates provide a back-cast time series of population density grids based on the year 2000 population grid from SEDAC's Global Rural-Urban Mapping Project, Version 1 (GRUMPv1) data set. The grids were created by using rates of population change between decades from the coarser resolution History Database of the Global Environment (HYDE) database to back-cast the GRUMPv1 population density grids. Mismatches between the spatial extent of the HYDE calculated rates and GRUMPv1 population data were resolved via infilling rate cells based on a focal mean of values. Finally, the grids were adjusted so that the population totals for each country equaled the UN World Population Prospects (2008 Revision) estimates for that country for the respective year (1970, 1980, 1990, and 2000). These data do not represent census observations for the years prior to 2000, and therefore can at best be thought of as estimations of the populations in given locations. The population grids are consistent internally within the time series, but are not recommended for use in creating longer time series with any other population grids, including GRUMPv1, Gridded Population of the World, Version 4 (GPWv4), or non-SEDAC developed population grids. These population grids served as an input to SEDAC's Global Estimated Net Migration Grids by Decade: 1970-2000 data set.

The Daily and Annual NO2 Concentrations for the Contiguous United States, 1-km Grids, v1 (2000-2016) data set contains daily predictions of Nitrogen Dioxide (NO2) concentrations at a high resolution (1 km x 1 km grid cells) for the years 2000 to 2016. An ensemble modeling framework was used to assess NO2 levels with high accuracy, which combined estimates from three machine learning models (neural network, random forest, and gradient boosting), with a generalized additive model. Predictor variables included NO2 column concentrations from satellites, land-use variables, meteorological variables, predictions from two chemical transport models, GEOS-Chem and the U.S. Environmental Protection Agency (EPA) CommUnity Multiscale Air Quality Modeling System (CMAQ), along with other ancillary variables. The annual predictions were calculated by averaging the daily predictions for each year in each grid cell. The ensemble produced a cross-validated R-squared value of 0.79 overall, a spatial R-squared value of 0.84, and a temporal R-squared value of 0.73.

The Gridded Population of the World, Version 3 (GPWv3): Land and Geographic Unit Area Grids measure land areas in square kilometers and the mean Unit size (population-weighted) in square kilometers. The land area grid permits the summation of areas (net of permanent ice and water) at the same resolution as the population density, count, and urban-rural grids. The mean Unit size grids provides a quantitative surface that indicates the size of the input Unit(s) from which population count and density grids are derived..GPWv3 is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with Centro Internacional de Agricultura Tropical (CIAT).

The Altimeter Corrected Elevations, Version 2 (ACE2) data set, is the Global Digital Elevation Model (GDEM) created by using multi-mission Satellite Radar Altimetry with the Shuttle Radar Topography Mission (SRTM). It was created by synergistically merging the SRTM data set with Satellite Radar Altimetry within the region bounded by 60�N and 60�S. Over the areas lying outside the SRTM latitude limits, other sources have been used including Global Observations to Benefit the Environment (GLOBE) and the original Altimeter Corrected Elevations (ACE) Digital Elevation Model (DEM), together with new matrices derived from reprocessing the European Remote Sensing (ERS-1) Geodetic Mission data set with an enhanced re-tracking system, and the inclusion of data from other satellites. ACE2 was developed at resolutions of 3, 9 and 30 arc-seconds, and 5 arc-minutes. The data are distributed in little-endian format as 15 degree by 15 degree tiles, with the file name referring to the southwestern edge of the southwestern most pixel.

The Millennium Ecosystem Assessment: MA Population provides data and information on baseline population as one of the drivers of ecosystem change. The data was used in estimating the magnitude of regional pressures on ecosystems. The MA Population data sets include Gridded Population of the World (GPW) Version 3, population grids from the Alpha version of the Global Rural-Urban Mapping Project (GRUMP), Global Subnational Infant Mortality Rates (Alpha version), and Global Subnational Prevalence of Child Malnutrition (Alpha version).

The CODATA Catalog of Roads Data Sets, Version 1 contains 367 entries describing national-level road network data sets for 147 countries and four entries describing global data sets. It was produced by the Columbia University Center for International Earth Science Information Network (CIESIN) under the oversight of the CODATA Global Roads Data Development Working Group, and as a contribution to the development of the Global Roads Open Access Data Set (gROADS).

The National Aggregates of Geospatial Data Collection: Population, Landscape, And Climate Estimates (PLACE) data set contains estimates of national-level aggregations of territorial extent and population size by biome, climate zone, coastal proximity, elevation and slope, a compendium of nearly 300 variables for 222 countries. This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN).

The Ancillary Data portion of the Compendium of Environmental Sustainability Indicator Collections contains 38 variables (time series data on population and gross domestic product as well as region codes, land area, and waterbody area) for 238 countries. The data are taken from the UN Population Division, the World Bank, the CIA Factbook, and CIESIN's Gridded Population of the World, and are distributed by the Columbia University Center for International Earth Science Information Network (CIESIN).

The Global Human Modification of Terrestrial Systems data set provides a cumulative measure of the human modification of terrestrial lands across the globe at a 1-km resolution. It is a continuous 0-1 metric that reflects the proportion of a landscape modified, based on modeling the physical extents of 13 anthropogenic stressors and their estimated impacts using spatially-explicit global data sets with a median year of 2016.

The U.S. Census Grids (Summary File 1), 1990 data set contains grids of demographic and socioeconomic data from the year 1990 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 1990 TIGER/Line Files and census variables (population, households, and housing variables). This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN).