Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

1 to 10 of 11 Results
Sep 12, 2022
Uhl, Johannes H.; Leyk, Stefan, 2022, "Historical building footprint area (BUFA) - gridded surfaces for the conterminous U.S. from 1900 to 2010", https://doi.org/10.7910/DVN/HXQWNJ, Harvard Dataverse, V1
These files are part of the dataset "Historical building footprint areas (BUFA) - gridded surfaces for the conterminous U.S. from 1900 to 2010", contained in the dataverse “HISDAC-US: Historical Settlement Data Compilation for the United States” (https://dataverse.harvard.edu/dataverse/hisdacus). Each GeoTIFF file contains a geospatial raster layer...
Apr 30, 2022
Mc Shane, Caitlin; Uhl, Johannes H.; Leyk, Stefan, 2021, "Historical Land Use for the U.S. 1940-2015: Major Class", https://doi.org/10.7910/DVN/LNBJIO, Harvard Dataverse, V3
Gridded surfaces at annual temporal resolution, showing the majority of six thematic land use types per grid cell during the time period 1940-2015. These classes include: agricultural, commercial, industrial, owned-residential, rented-residential, and recreational built-up properties. These gridded layers are based on property-level data and are pa...
Apr 30, 2022
Mc Shane, Caitlin; Uhl, Johannes H.; Leyk, Stefan, 2021, "Uncertainty in Historical Land Use Data for the U.S. 1940-2015", https://doi.org/10.7910/DVN/JXJ5WH, Harvard Dataverse, V3
Spatial data layers representing uncertainty in the historical land use data for the U.S. Contains shapefiles and gridded surfaces at decadal time slices that can be used for county-level and local-scale uncertainty assessment, respectively. The layers describe the missingness in the land use data at either the grid cell or county level.
Apr 30, 2022
Mc Shane, Caitlin; Uhl, Johannes H.; Leyk, Stefan, 2021, "Historical Land Use for the U.S. 1940-2015: Class Counts", https://doi.org/10.7910/DVN/I30REZ, Harvard Dataverse, V3
A collection of gridded surfaces at semi-decadal temporal resolution, showing the number of built-up properties for each of six thematic land use types per grid cell during the time period 1940-2015. These class-specific layers include: agricultural, commercial, industrial, owned-residential, rented-residential, and recreational properties. These g...
Jul 29, 2020
Uhl, Johannes H.; Leyk, Stefan, 2020, "Uncertainty surfaces accompanying the BUPR, BUPL, and BUA gridded surface series", https://doi.org/10.7910/DVN/T8H5KF, Harvard Dataverse, V1
These files are part of the dataset "Uncertainty surfaces accompanying the BUPR, BUPL, and BUA gridded surface series", contained in the dataverse “HISDAC-US: Historical Settlement Data Compilation for the United States” (https://dataverse.harvard.edu/dataverse/hisdacus). The *.tar.gz archive contain geospatial raster layers measuring different typ...
Jul 29, 2020
Uhl, Johannes H.; Leyk, Stefan, 2020, "Historical built-up areas (BUA) - gridded surfaces for the U.S. from 1810 to 2015", https://doi.org/10.7910/DVN/J6CYUJ, Harvard Dataverse, V1
These files are part of the dataset "Historical built-up areas (BUA) gridded surfaces for the U.S. from 1810 to 2015", contained in the dataverse “HISDAC-US: Historical Settlement Data Compilation for the United States” (https://dataverse.harvard.edu/dataverse/hisdacus). The *.tar.gz archive contains a time series of binary, geospatial raster layer...
Jul 29, 2020
Uhl, Johannes H.; Leyk, Stefan, 2020, "Historical built-up property locations (BUPL) - gridded surfaces for the U.S. from 1810 to 2015", https://doi.org/10.7910/DVN/SJ213V, Harvard Dataverse, V1
These files are part of the dataset "Historical built-up property locations (BUPL) gridded surfaces for the U.S. from 1810 to 2015", contained in the dataverse “HISDAC-US: Historical Settlement Data Compilation for the United States” (https://dataverse.harvard.edu/dataverse/hisdacus). The *.tar.gz archive contains a time series of geospatial raster...
Jul 29, 2020
Uhl, Johannes H.; Leyk, Stefan, 2020, "Historical built-up property records (BUPR) - gridded surfaces for the U.S. from 1810 to 2015", https://doi.org/10.7910/DVN/YSWMDR, Harvard Dataverse, V1
These files are part of the dataset "Historical built-up property records (BUPR) gridded surfaces for the U.S. from 1810 to 2015", contained in the dataverse “HISDAC-US: Historical Settlement Data Compilation for the United States” (https://dataverse.harvard.edu/dataverse/hisdacus). The *.tar.gz archive contains a time series of geospatial raster l...
Jun 26, 2020
Leyk, Stefan; Uhl, Johannes H., 2018, "Historical settlement composite layer for the U.S. 1810 - 2015", https://doi.org/10.7910/DVN/PKJ90M, Harvard Dataverse, V2
These files are part of the dataset "Historical settlement composite layer for the U.S. 1810 - 2015", contained in the dataverse “HISDAC-US: Historical Settlement Data Compilation for the United States” (https://dataverse.harvard.edu/dataverse/hisdacus). They are geospatial raster layers with pixel values representing the year the first structure h...
Jun 26, 2020
Leyk, Stefan; Uhl, Johannes H., 2018, "Historical built-up intensity layer series for the U.S. 1810 - 2015", https://doi.org/10.7910/DVN/1WB9E4, Harvard Dataverse, V2
These files are part of the dataset "Historical built-up intensity layer series for the U.S. 1810 – 2015", contained in the dataverse “HISDAC-US: Historical Settlement Data Compilation for the United States” (https://dataverse.harvard.edu/dataverse/hisdacus). The BUI.tar.gz archive contains a time series if geospatial raster layers with pixel value...
Add Data

Sign up or log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.