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2022. GeoX Kft. This raster dataset is a topographic map of Hungary. Source of topography layer is NASA SRTM (Shuttle Radar Topography Mission) database. Database ... GeoX Kft.
1947. California. Department of Public Works. This layer is a georeferenced image of a map titled "Trans-Bay Bridge Study: Various Locations." This map originally appeared in the 1947 "Report t... Stanford University. Center for Spatial and Textual Analysis.
2000. This raster dataset represents the average yield for triticale crops in tons per hectare. Croplands cover ~15 million km2 of the planet and provide... University of Minnesota. Institute on the Environment.
2000. This raster dataset represents the agricultural census data quality for triticale crop yields. Data quality categories include (0= missing, 0.25= c... University of Minnesota. Institute on the Environment.
2000. This raster dataset represents the agricultural census data quality for harvested areas of triticale crops. Data quality categories include (0= mis... University of Minnesota. Institute on the Environment.
2000. This raster dataset depicts the average fractional proportion of a gridcell for triticale crops that were harvested circa 2000. Croplands cover ~15... University of Minnesota. Institute on the Environment.
2000. This raster dataset depicts the average number of hectares per land-area of a gridcell for triticale crops. Data quality categories include (0= mis... University of Minnesota. Institute on the Environment.
2000. This raster dataset represents total triticale crop production in metric tons. Harvested area in hectares was multiplied by yield per hectare to cr... University of Minnesota. Institute on the Environment.
2000. This raster dataset represents the average yield for tropical fruit crops (not elsewhere specified) in tons per hectare. Croplands cover ~15 millio... University of Minnesota. Institute on the Environment.
2000. This raster dataset represents the agricultural census data quality for tropical fruit crop yields (not elsewhere specified). Data quality categori... University of Minnesota. Institute on the Environment.