These data are to supplement the following in-press publication: Zoraghein, H., and O'Neill B. (2020). U.S. state-level projections of the spatial distribution of population consistent with Shared Socioeconomic Pathways. Sustainability. The data herein were generated using the `population_gravity` model which can be found here: https://github.com/IMMM-SFA/population_gravity CONTENTS: zoraghein-oneill_population_gravity_inputs_outputs.zip contains a directory for each U.S. state for inputs and outputs inputs contain the following: <state-name>_<urban or rural>_<yr>_1km.tif: Urban and Rural population GeoTIF rasters at a 1km resolution value per grid cell: number of humans (float) crs: EPSG:102003 - USA_Contiguous_Albers_Equal_Area_Conic - Projected nodata value: -3.40282e+38 <state-name>_mask_short_term.tif: Mask GeoTIF rasters at a 1km resolution that contain values from 0.0 to 1.0 for each 1 km grid cell to help calculate suitability depending on topographic and land use and land cover characteristics value per grid cell: values from 0.0 to 1.0 (float) that are generated from topographic and land use and land cover characteristics to inform suitability as outlined in the companion publication crs: EPSG:102003 - USA_Contiguous_Albers_Equal_Area_Conic - Projected nodata value: -3.40282e+38 <state-name>_<ssp>_popproj.csv: Population projection CSV files for urban, rural, and total population (number of humans; float) for SSPs 2, 3, and 5 for years 2010-2100 <state-name>_coordinates.csv: CSV file containing the coordinates for each 1 km grid cell within the target state. File includes a header with the fields XCoord, YCoord, FID.,Where data types and field descriptions are as follows: (XCoord, float, X coordinate in meters),(YCoord, float, Y coordinate in meters),(FID, int, Unique feature id) <state-name>_within_indices.txt: text file containing a file structured as a Python list (e.g. [0, 1]) that contains the index of each grid cell when flattened from a 2D array to a 1D array for the target state. <state-name>_<ssp>_params.csv: CSV file containing the calibration parameters (alpha_rural, beta_rural, alpha_urban, beta_urban; float) for the `population_gravity` model for each year from 2010-2100 in 10-year time-steps as described in the companion publication outputs contain the following: jones_oneill directory; these are the comparison datasets used to build Figures 7 and 8 in the companion publication contains three directories: SSP2, SSP3, and SSP5 that each contain a GeoTIF representing total population (number of humans; float) at 1km resolution for years 2050 and 2100. <state-name>_1km_<ssp>_total_<year>_jones_oneill.tif: value per grid cell: number of humans (float) crs: EPSG:102003 - USA_Contiguous_Albers_Equal_Area_Conic - Projected nodata value: -3.40282e+38 model directory; these are the model outputs from `population_gravity` for SSP2, SSP3, and SSP5 that each contain a GeoTIF representing urban, rural, and total population (number of humans; float) at 1km resolution for years 2020-2100 in 10-year time-steps. <state-name>_1km_<ssp>_<urban, rural, or total>_<year>_jones_oneill.tif: value per grid cell: number of humans (float) crs: EPSG:102003 - USA_Contiguous_Albers_Equal_Area_Conic - Projected nodata value: -3.40282e+38 zoraghein-oneill_population_gravity_national-ssp-maps.zip Results of the `population_gravity` model mosaicked to the National scale at a 1km resolution and the comparison Jones and O'Neill research. These are used to generate Figure 6 of the companion paper National_1km_<ssp>_<urban, rural, or total>_<year>_jones_oneill.tif: value per grid cell: number of humans (float) crs: EPSG:102003 - USA_Contiguous_Albers_Equal_Area_Conic - Projected nodata value: -3.40282e+38 National_1km_<ssp>_<urban, rural, or total>_<year>.tif: value per grid cell: number of humans (float) crs: EPSG:102003 - USA_Contiguous_Albers_Equal_Area_Conic - Projected nodata value: -3.40282e+38