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. 2017 Jan 31;4:170001. doi: 10.1038/sdata.2017.1

Table 1. Input datasets, used to produce the WorldPop Archive 100 m tiles and 1 km global mosaics.

Name Acquisition Year Source Version, Publication Year Data Type Spatial Resolution Format/ Pixel Type & Depth Spatial Reference Spatial Coverage
Input datasets are here described. Data source, version, format, and spatial and temporal statistics are summarised. The table shows input grids from which WorldPop base grids (topography, slope, country ID, and country area) are prepared, and shows additional datasets subsequently standardised and gridded for inclusion in the archive. Refer to the Methods section for a more detailed description of how base datasets and the additional datasets are produced.                
Viewfinder Panoramas ~2000 de Ferranti, J35 26/05/14 Elevation, continuous raster Typically 3′′ (~90 m) HGT tiles/ int16 GCS WGS 1984 Global
GADM 2012/ 2015 Global ADMinistrative Areas (GADM)37 v2/v2.8 Global Admin. Boundaries (Country borders), categorical vector Comparable to 3′′ (~90 m) ESRI polygon shapefile GCS WGS 1984 Global
Gridded Population of the World (GPW) 2010 Center for International Earth Science Information Network (CIESIN), Columbia University11 v4, 2014 Global Population Count/ Density (Country borders), continuous raster 30′′ (~900 m) Geo-tiff/ flt32 GCS WGS 1984 Global
Climate Hazards Group Infrared Precipitation with Stations (CHIrPS) 1981–2014 Funk, C., et al.55 v2, 2015 Annual precipitation, continuous raster ~180′′ (~6 km) Geo-tiff/ flt32 GCS WGS 1984 Between latitudes 50° North and 50° South
DMSP Nightlights Time Series 1992–2013 US NOAA National Geophysical Data Center58 v4, 2014 Night lights intensity, continuous raster 30′′ (~900 m) Geo-tiff/ uint8 GCS WGS 1984 Between latitudes 75° North and 65° South
Globcover 2009 European Space Agency (ESA) & Université Catholique De Louvain (UCL)60 2010 Land cover, categorical raster 7.5′′ (~250 m) Geo-tiff/ uint8 GCS WGS 1984 Global
Landsat <2000 University of Maryland, Department of Geography62 v1, 2015 Inland water bodies, categorical raster 1′′ (~30 m) Geo-tiff tiles/ uint16 UTM WGS 1984 Global
MODIS MOD44W Collection 5 2000–2002 University of Maryland, Department of Geography/ US NASA63 2009 Inland water bodies, categorical raster 7.5′′ (~250 m) Geo-tiff tiles/ uint8 GCS WGS 1984 Global
Open Street Map (OSM) 2016 OpenStreetMap Foundation (OSMF) & Contributors64 15/01/16 General mapping, categorical vector Comparable to 1′′ (~30 m) PBF database GCS WGS 1984 Global
SRTM SWBD ~2000 US NASA & US National Geospatial-Intelligence Agency (NGA)71 v2, 12/03/03 Inland water bodies, categorical vector Comparable to 1′′ (~30 m) ESRI polygon shapefile tiles GCS WGS 1984 Between latitudes 60°2' North and 56° South
GTOPO30 HYDRO 1 K <1996 US Geological Survey EROS Data Center72 1996 Inland water bodies, categorical vector Comparable to 30′′ (~900 m) ESRI polygon shapefile tiles GCS WGS 1984 Greater than latitudes 60°2' North and 56° South
Travel Time To Major Cities 2000 Nelson, A. (European Commission Joint Research Centre Global Environment Monitoring Unit)74 2008 Travel time, continuous raster 30′′ (~900 m) Flt/flt32 GCS WGS 1984 Global