AndreaBozzo/ceres-open-data-index huggingface dataset:
Bathymetric change of Suisun Bay, California: 1988 to 2016

This 25-m-resolution surface presents bathymetric change of Suisun Bay, California, from 1988 to 2016. This surface compares a 1-m-resolution digital elevation model (DEM) of the northern portion of San Francisco Bay (Fregoso and others, 2020), comprised of bathymetry data in the Suisun region from the time period referred to as the 2010s because the majority of the surveys were in that decade, to a 25-m-resolution bathymetric DEM of Suisun Bay comprised of historic surveys from 1988 to 1990 (referred to as the 1990s because the majority of the surveys were in that decade). Prior to creating this change surface, the 1-m-resolution 2010s DEM was resampled to match the 25-m-resolution 1990s DEM, and the 1990s DEM corrected for grid interpolation bias and vertically referenced to the same tidal epoch as the 2010s DEM. The adjusted DEMs were then differenced to reveal amounts of sediment deposition and erosion that occurred between the surveys.

Tags: bathymetry, bathymetry-and-elevation, coastal-processes, digital-elevation-models, elevation, geographic-information-systems, geographic-information-systems-gis, geospatial-datasets, global-positioning-system-gps-observations, gps-measurement, inlandwaters, multibeam-echo-sounder, multibeam-sonar, san-francisco-bay, single-beam-echo-sounder, suisun-bay, topographic-mapping, topography, usgs-665a1b6bd34ef3137d36a71c
Organization: Department of the Interior
Bathymetric change of South San Francisco Bay, California: 1979 to 2020

This 50-m-resolution surface presents bathymetric change of South San Francisco Bay, California (hereafter referred to as South Bay). This surface compares a 1-m-resolution digital elevation model (DEM) of the southern portion of San Francisco Bay (Fregoso and others, 2020), comprised of bathymetry data in the South Bay region from the time period referred to as the 2010s because the majority of the surveys were in that decade, to a 50-m-resolution DEM of South Bay comprised of historic surveys from 1979 to 1985 (referred to as the 1980s because the majority of the surveys were in that decade). Prior to creating this change surface, the 1-m-resolution 2010s DEM was resampled to match the 50-m-resolution 1980s DEM and the 1980s DEM corrected for grid interpolation bias and vertically referenced to the same tidal epoch as the 2010s DEM. The adjusted DEMs were then differenced to reveal amounts of sediment deposition and erosion that occurred between the surveys.

Tags: bathymetry, bathymetry-and-elevation, coastal-processes, digital-elevation-models, elevation, geographic-information-systems, geographic-information-systems-gis, geospatial-datasets, global-positioning-system-gps-observations, gps-measurement, inlandwaters, multibeam-echo-sounder, multibeam-sonar, san-francisco-bay, single-beam-echo-sounder, south-bay, topographic-mapping, topography, usgs-665a1b65d34ef3137d36a718
Organization: Department of the Interior
Bathymetric change of San Pablo Bay, California: 1983 to 2015

This 25-m-resolution surface presents bathymetric change of San Pablo Bay, California, from 1983 to 2015. This surface compares a 1-m-resolution digital elevation model (DEM) of the northern portion of San Francisco Bay (Fregoso and others, 2020), comprised of bathymetry data in the San Pablo Bay region from the time period referred to as the 2010s because the majority of the surveys were in that decade, to a 25-m-resolution bathymetric DEM of San Pablo Bay comprised of historic surveys from 1983 to 1986 (referred to as the 1980s because the majority of the surveys were in that decade). Prior to creating this change surface, the 1-m-resolution 2010s DEM was resampled to match the 25-m-resolution 1980s DEM, and the 1980s DEM corrected for grid interpolation bias and vertically referenced to the same tidal epoch as the 2010s DEM. The adjusted DEMs were then differenced to reveal amounts of sediment deposition and erosion that occurred between the surveys.

Tags: bathymetry, bathymetry-and-elevation, coastal-processes, digital-elevation-models, elevation, geographic-information-systems, geographic-information-systems-gis, geospatial-datasets, global-positioning-system-gps-observations, gps-measurement, inlandwaters, multibeam-echo-sounder, multibeam-sonar, san-francisco-bay, san-pablo-bay, single-beam-echo-sounder, topographic-mapping, topography, usgs-665a1b61d34ef3137d36a713
Organization: Department of the Interior
Bathymetric change of Central San Francisco Bay, California: 1971 to 2020

This 25-m-resolution surface presents bathymetric change of Central San Francisco Bay, California (hereafter referred to as Central Bay). This surface compares a 1-m-resolution digital elevation model (DEM) of the central portion of San Francisco Bay (Fregoso and others, 2020), comprised of bathymetry data in the Central Bay region from the time period referred to as the 2010s because the majority of the surveys were in that decade, to a 25-m-resolution DEM of Central Bay comprised of historic surveys from 1971 to 1984 (referred to as the 1980s because the majority of the surveys were in that decade). Prior to creating this change surface, the 1-m-resolution 2010s DEM was resampled to match the 25-m-resolution 1980s Central Bay DEM, and the 1980s DEM corrected for grid interpolation bias and vertically referenced to the same tidal epoch as the 2010s DEM. The adjusted DEMs were then differenced to reveal amounts of sediment deposition and erosion that occurred between the surveys.

Tags: bathymetry, bathymetry-and-elevation, central-bay, coastal-processes, digital-elevation-models, elevation, geographic-information-systems, geographic-information-systems-gis, geospatial-datasets, global-positioning-system-gps-observations, gps-measurement, inlandwaters, multibeam-echo-sounder, multibeam-sonar, san-francisco-bay, single-beam-echo-sounder, topographic-mapping, topography, usgs-665a1b5bd34ef3137d36a70c
Organization: Department of the Interior
Intersectional weights between two different 12-digit Hydrologic Unit Code 12(HUC12) boundaries.

This data release contains fractional intersectional weights used to crosswalk data from the National Water Use Program to the National Integrated Water Availability Assessment (IWAAs) projects. The Watershed Boundary Dataset (WBD; https://www.usgs.gov/national-hydrography/watershed-boundary-dataset) is a companion dataset to the National Hydrography Dataset and contains polygons that define the spatial boundaries of hydrologic units (i.e., the area of land the landscape that drains into a portion of the stream network). These are periodically updated as these boundary definitions are refined by incorporating better, more localized data. When aggregating data from multiple sources that rely on data from the WBD, a situation can occur where different datasets rely on different versions (or “snapshots”) of the WBD. This was the case for the IWAAs National Report which relied upon data using a version of the WBD found in the Mainstem Rivers data release (https://doi.org/10.5066/P92U7ZUT) as well as data that relied upon a version used by the National Water Use Program (https://doi.org/10.5066/P9FUL880). This dataset is the output of a pipeline of R code published as a software release (https://doi.org/10.5066/P1UANON8) and contains the fraction of spatial overlap (i.e., weights) between the subwatershed (HUC12) boundaries from these two versions of the WBD. These weights can be used as a crosswalk between the two snapshots of the WBD.

Tags: arkansas-white-red, california, conterminous-united-states, environment, geoscientificinformation, great-basin, great-lakes, hydrographic-datasets, hydrology, inlandwaters, lower-colorado, lower-mississippi, major-river-basin, mid-atlantic, missouri, new-england, ohio, pacific-northwest, rio-grande, souris-red-rainy, south-atlantic-gulf, surface-water-non-marine, tennessee, texas-gulf, upper-colorado, upper-mississippi, usgs-6659df6dd34ef3137d36a348, water-use
Organization: Department of the Interior
Missouri Stream Conservation and Connectivity Prioritization Tool: Improving and Expanding Existing Conservation Networks - North Missouri Drainages

The Missouri Stream Conservation and Connectivity Prioritization Tool contains data tabulating costs to traverse between 10,357 origin and 50,135 destination stream reaches throughout the Central Plains and Ozarks aquatic subregions in Missouri. These data are intended to be used in the Missouri Stream Conservation and Connectivity Prioritization Tool and are not suitable stand-alone products outside of the context of the application.
Cost tables listed here include watersheds that are directly connected to other watersheds within the state of Missouri and generally represent the northern 66% of the state.  These watersheds are grouped together because they represent a continuous network of streams within the state.  This represents 89 of the total 109 cost tables. 
Additional support files include a list of files provided on this landing page (A_DataDictionary_FileList_ParentItem.csv); a description of navigation files and their fields (A_DataDictionary_NavigationFileFields.csv), a description of cost table fields (A_DataDictionary_CostTableFields.csv), and a list of Missouri fish species and associated functional ecology (B_Species_List_AUTECOLOGY_2_FishGroups_DataRelease.csv).

Tags: inlandwaters, usgs-66c4940ed34e03388288c8d2
Organization: Department of the Interior
Maps of habitat suitability improvement potential for the Poncha Pass Gunnison Sage-grouse (Centrocercus minimus) satellite population in Southwestern Colorado

Habitat restoration efforts to conserve wildlife species are often conducted along a range of local site conditions, with limited information available to gauge relative outcomes for habitat suitability among sites and identify those that may lead to the greatest returns on restoration investment. We leveraged existing resource selection function models to generate heatmaps of spatially varying habitat suitability improvement potential for the Gunnison Sage-grouse (Centrocercus minimus) based on a suite of habitat restoration actions deployed across crucial habitats within six remaining satellite populations. We first simulated expected change in model covariates (habitat features) from a suite of restoration actions (increasing sagebrush, herbaceous, or litter cover, non-sagebrush shrub management, installation of mesic improvement structures, and removal of invasive plants) to generate modified input layers for each. We then reran the original models using these modified layers and calculated the predicted change in habitat suitability across space. The resulting heatmaps identify areas with the greatest improvement potential for each restoration action to help guide strategic restoration planning for the species.
This data release, for the Poncha Pass satellite population, includes a set of 13 total raster files. These include: 6 uncategorized heatmaps illustrating predicted change in Gunnison Sage-grouse habitat suitability across space following habitat restoration actions (either single or combined), 6 categorized heatmaps additionally showing areas where 1) new habitat was created, 2) non-habitat remained non-habitat despite management interventions, or 3) negative changes in suitability were observed, and 1 heatmap illustrating predicted changes in suitability following new or worsening plant invasions (cheatgrass, represented by annual herbaceous). Habitat restorations vary by population depending on the reference model. We only ran management action simulations when the reference model had covariates suitable for the simulation (for example, pinyon juniper removal was only run when pinyon juniper was a covariate; See Saher and others (2022) for model details).
Raster file names are coded as follows:
PPb = Poncha Pass Breeding
PPs = Poncha Pass Summer
ahrb_rm = annual herbaceous removal (decrease in cover)
ahrb_inv = annual herbaceous invasion (increase in cover)
combo = combined actions
mes_impr = mesic improvements (increase in area)
pns_decr = decrease non-sagebrush shrub cover
pns_incr = increase non-sagebrush shrub cover
C = CATEGORIZED Maps
V = UNCATEGORIZED Maps
X = INVASION (categorized) Maps

Tags: centrocercus-minimus, cheatgrass, colorado, gunnison-sage-grouse, gunnison-sage-grouse-range, mesic-improvements, pinyon-juniper, sagebrush, sagebrush-biome, usgs-6658d316d34ef3137d35fbb0
Organization: Department of the Interior
Maps of habitat suitability improvement potential for the Pinon Mesa Gunnison Sage-grouse (Centrocercus minimus) satellite population in Southwestern Colorado

Habitat restoration efforts to conserve wildlife species are often conducted along a range of local site conditions, with limited information available to gauge relative outcomes for habitat suitability among sites and identify those that may lead to the greatest returns on restoration investment. We leveraged existing resource selection function models to generate heatmaps of spatially varying habitat suitability improvement potential for the Gunnison Sage-grouse (Centrocercus minimus) based on a suite of habitat restoration actions deployed across crucial habitats within six remaining satellite populations. We first simulated expected change in model covariates (habitat features) from a suite of restoration actions (increasing sagebrush, herbaceous, or litter cover, non-sagebrush shrub management, installation of mesic improvement structures, and removal of invasive plants) to generate modified input layers for each. We then reran the original models using these modified layers and calculated the predicted change in habitat suitability across space. The resulting heatmaps identify areas with the greatest improvement potential for each restoration action to help guide strategic restoration planning for the species.
This data release, for the Pinon Mesa satellite population, includes a set of 15 total raster files. These include: 7 uncategorized heatmaps illustrating predicted change in Gunnison Sage-grouse habitat suitability across space following habitat restoration actions (either single or combined), 7 categorized heatmaps additionally showing areas where 1) new habitat was created, 2) non-habitat remained non-habitat despite management interventions, or 3) negative changes in suitability were observed, and 1 heatmap illustrating predicted changes in suitability following new or worsening pinyon-juniper invasion. Habitat restorations vary by population depending on the reference model. We only ran management action simulations when the reference model had covariates suitable for the simulation (for example, pinyon juniper removal was only run when pinyon juniper was a covariate; See Saher and others (2022) for model details).
Raster file names are coded as follows:
PMb = Pinon Mesa Breeding
PMs = Pinon Mesa Summer
combo = combined actions
lit_incr = increase litter cover
mes_impr = mesic improvements (increase in area)
pj_inv = pinyon-juniper invasion (increase in area)
pj_rm = pinyon-juniper removal (decrease in area)
sgh_incr = increase sagebrush height
shh_decr = decrease shrub height
C = CATEGORIZED Maps
V = UNCATEGORIZED Maps
X = INVASION (categorized) Maps

Tags: centrocercus-minimus, cheatgrass, colorado, gunnison-sage-grouse, gunnison-sage-grouse-range, mesic-improvements, pinyon-juniper, sagebrush, sagebrush-biome, usgs-6658d301d34ef3137d35fbac
Organization: Department of the Interior
Maps of habitat suitability improvement potential for the Dove Creek Gunnison Sage-grouse (Centrocercus minimus) satellite population in Southwestern Colorado

Habitat restoration efforts to conserve wildlife species are often conducted along a range of local site conditions, with limited information available to gauge relative outcomes for habitat suitability among sites and identify those that may lead to the greatest returns on restoration investment. We leveraged existing resource selection function models to generate heatmaps of spatially varying habitat suitability improvement potential for the Gunnison Sage-grouse (Centrocercus minimus) based on a suite of habitat restoration actions deployed across crucial habitats within six remaining satellite populations. We first simulated expected change in model covariates (habitat features) from a suite of restoration actions (increasing sagebrush, herbaceous, or litter cover, non-sagebrush shrub management, installation of mesic improvement structures, and removal of invasive plants) to generate modified input layers for each. We then reran the original models using these modified layers and calculated the predicted change in habitat suitability across space. The resulting heatmaps identify areas with the greatest improvement potential for each restoration action to help guide strategic restoration planning for the species.
This data release, for the Dove Creek satellite population, includes a set of 8 total raster files. These include: 4 uncategorized heatmaps illustrating predicted change in Gunnison Sage-grouse habitat suitability across space following habitat restoration actions (either single or combined), and 4 categorized heatmaps additionally showing areas where 1) new habitat was created, 2) non-habitat remained non-habitat despite management interventions, or 3) negative changes in suitability were observed. Habitat restorations vary by population depending on the reference model. We only ran management action simulations when the reference model had covariates suitable for the simulation (for example, pinyon juniper removal was only run when pinyon juniper was a covariate; See Saher and others (2022) for model details). Note that Saher and others (2022) indicated that there was insufficient Gunnison sage-grouse use data to develop a summer model for that population. Consequently, we do not present the effect of management actions on sage-grouse habitat for that population during the summer season.
Raster file names are coded as follows:
DCb = Dove Creek Breeding
ahrb_rm = annual herbaceous removal (decrease in cover)
combo = combined actions
mes_impr = mesic improvements (increase in area)
pos_incr = increase percent other sagebrush (non-big sagebrush)
C = CATEGORIZED Maps
V = UNCATEGORIZED Maps

Tags: centrocercus-minimus, cheatgrass, colorado, gunnison-sage-grouse, gunnison-sage-grouse-range, mesic-improvements, pinyon-juniper, sagebrush, sagebrush-biome, usgs-6658d2d0d34ef3137d35fba5
Organization: Department of the Interior
Maps of habitat suitability improvement potential for the Crawford Gunnison Sage-grouse (Centrocercus minimus) satellite population in Southwestern Colorado

Habitat restoration efforts to conserve wildlife species are often conducted along a range of local site conditions, with limited information available to gauge relative outcomes for habitat suitability among sites and identify those that may lead to the greatest returns on restoration investment. We leveraged existing resource selection function models to generate heatmaps of spatially varying habitat suitability improvement potential for the Gunnison Sage-grouse (Centrocercus minimus) based on a suite of habitat restoration actions deployed across crucial habitats within six remaining satellite populations. We first simulated expected change in model covariates (habitat features) from a suite of restoration actions (increasing sagebrush, herbaceous, or litter cover, non-sagebrush shrub management, installation of mesic improvement structures, and removal of invasive plants) to generate modified input layers for each. We then reran the original models using these modified layers and calculated the predicted change in habitat suitability across space. The resulting heatmaps identify areas with the greatest improvement potential for each restoration action to help guide strategic restoration planning for the species.
This data release, for the Crawford satellite population, includes a set of 14 total raster files. These include: including 6 uncategorized heatmaps illustrating predicted change in Gunnison Sage-grouse habitat suitability across space following habitat restoration actions (either single or combined), 6 categorized heatmaps additionally showing areas where 1) new habitat was created, 2) non-habitat remained non-habitat despite management interventions, or 3) negative changes in suitability were observed, and 2 heatmaps illustrating predicted changes in suitability following new or worsening plant invasions (cheatgrass, represented by annual herbaceous, or pinyon-juniper). Habitat restorations vary by population depending on the reference model. We only ran management action simulations when the reference model had covariates suitable for the simulation (for example, pinyon juniper removal was only run when pinyon juniper was a covariate; See Saher and others 2022 for model details).
CRb = Crawford Breeding
CRs = Crawford Summer
ahrb_rm = annual herbaceous removal (decrease in cover)
ahrb_inv = annual herbaceous invasion (increase in cover)
combo = combined actions
mes_impr = mesic improvements (increase in area)
pj_inv = pinyon-juniper invasion (increase in area)
pj_rm = pinyon-juniper removal (decrease in area)
sgc_incr = increase sagebrush cover
C = CATEGORIZED Maps
V = UNCATEGORIZED Maps
X = INVASION (categorized) Maps

Tags: centrocercus-minimus, cheatgrass, colorado, gunnison-sage-grouse, gunnison-sage-grouse-range, mesic-improvements, pinyon-juniper, sagebrush, sagebrush-biome, usgs-6658d2bbd34ef3137d35fba0
Organization: Department of the Interior
Maps of habitat suitability improvement potential for the Cerro Summit-Cimarron-Sims Mesa (CCS) Gunnison Sage-grouse (Centrocercus minimus) satellite population in Southwestern Colorado

Habitat restoration efforts to conserve wildlife species are often conducted along a range of local site conditions, with limited information available to gauge relative outcomes for habitat suitability among sites and identify those that may lead to the greatest returns on restoration investment. We leveraged existing resource selection function models to generate heatmaps of spatially varying habitat suitability improvement potential for the Gunnison Sage-grouse (Centrocercus minimus) based on a suite of habitat restoration actions deployed across crucial habitats within six remaining satellite populations. We first simulated expected change in model covariates (habitat features) from a suite of restoration actions (increasing sagebrush, herbaceous, or litter cover, non-sagebrush shrub management, installation of mesic improvement structures, and removal of invasive plants) to generate modified input layers for each. We then reran the original models using these modified layers and calculated the predicted change in habitat suitability across space. The resulting heatmaps identify areas with the greatest improvement potential for each restoration action to help guide strategic restoration planning for the species.
This data release, for the Cerro Summit-Cimarron-Sims Mesa (CCS) satellite population, includes a set of 6 total raster files. These include: 6 uncategorized heatmaps illustrating predicted change in Gunnison Sage-grouse habitat suitability across space following habitat restoration actions (either single or combined). Habitat restorations vary by population depending on the reference model. We only ran management action simulations when the reference model had covariates suitable for the simulation (e.g., pinyon juniper removal was only run when pinyon juniper was a covariate; See Saher and others (2022) for model details).
Raster file names are coded as follows:
CSb = Cerro Summit-Cimarron-Sims Mesa Breeding
CSs = Cerro Summit-Cimarron-Sims Mesa Summer
ahrb_rm = annual herbaceous removal (decrease in cover)
combo = combined actions
mes_impr = mesic improvements (increase in area)
pj_rm = pinyon-juniper removal (decrease in area)
sgc_incr = increase sagebrush cover
V = UNCATEGORIZED Maps

Tags: centrocercus-minimus, cheatgrass, colorado, gunnison-sage-grouse, gunnison-sage-grouse-range, mesic-improvements, pinyon-juniper, sagebrush, sagebrush-biome, usgs-6658d25ed34ef3137d35fb96
Organization: Department of the Interior