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The Climate Adaptation Science Centers (CASCs) partner with natural and cultural resource managers, tribes and indigenous communities, and university researchers to provide science that helps fish, wildlife, ecosystems, and the communities they support adapt to climate change. The CASCs provide managers and stakeholders with information and decision-making tools to respond to the effects of climate change. While each CASC works to address specific research priorities within their respective region, CASCs also collaborate across boundaries to address issues within shared ecosystems, watersheds, and landscapes. These data represent the 9 CASC regions and the national CASC that comprise the CASC network, highlighting...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: United States,
boundaries,
climate change,
geospatial datasets
Parameter ensemble files required to run the Groundwater Nitrate Decision Support Tool for Wisconsin
A groundwater Nitrate Decision Support Tool (GW-NDST) for wells in Wisconsin was developed to assist resource managers with assessing how legacy and possible future nitrate leaching rates, combined with groundwater lag times and potential denitrification, influence nitrate concentrations in wells (Juckem et al. 2024). The GW-NDST relies on an ensemble of calibrated parameters to make nitrate predictions and to estimate the uncertainty of those predictions. This data release contains all of the calibrated parameter files required to run the tool. The files are packaged in a single ZIP file. To run the tool, the ZIP package needs to be downloaded and extracted within the pest/ies_parameter_ensembles/ subdirectory...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: PEST,
PESTPP-IES,
USGS Science Data Catalog (SDC),
Wisconsin,
hydrology,
The Geospatial Fabric version 1.1 (GFv1.1 or v1_1) is a dataset of spatial modeling units covering the conterminous United States (CONUS) and most major river basins that flow in from Canada. The GFv1.1 is an update to the original Geospatial Fabric (GFv1, Viger and Bock, 2014) for the National Hydrologic Modeling (NHM). Analogous to the GFv1, the GFv1.1 described here includes the following vector feature classes: points of interest (POIs_v1_1), a stream network (nsegment_v1_1), and hydrologic response units (nhru_v1_1), with several additional ancillary tables. These data are contained within the Environmental Systems Research Institute (ESRI) geodatabase format (GFv1.1.gdb).
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Canada,
Geographic Information Systems,
Hydrologic Response Units,
Hydrologic modeling,
Points of Interest,
The Transboundary Geospatial Fabric (TGF) is a dataset of spatial modeling units consistent with the Geospatial Fabric for National Hydrologic Modeling (abbreviated within this document as GFv1, Viger and Bock, 2014). These features were derived from National Hydrography Dataset Plus High Resolution data (NHDPlus HR, U.S. Geological Survey [USGS], 2018) in the following conterminous United States (CONUS) - Canada transboundary four-digit Hydrologic Units (HUC4): 0101, 0105, 0108, 0901, 0902, 0903, 0904, 1005, 1006, 1701, 1702, and 1711. The data described here include the following vector feature classes: points of interest (POIs), a stream network (nsegment), major waterbodies (waterbodies), and hydrologic response...
This data release includes grids representing the depth and thickness of drinking-water withdrawal zones, polygons of hydrogeologic settings, an inventory of sources of well construction data, and summaries of data comparisons used to assess the depth of groundwater used for drinking-water supplies in the United States. Well construction data sources are documented in Table1_DataSources.xlsx. Data comparisons using the Mann-Whitney test to assess similarity between hydrogeologic settings were used to justify combining data where they were sparse (compare_neighbors_all_domestic.txt and compare_neighbors_all_public.txt). Water-supply-well depth varies geographically by water use and the type of well, which illustrates...
Categories: Data,
Data Release - Revised;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Cycle 3,
Hydrology,
NAWQA,
USGS Science Data Catalog (SDC),
United States,
This dataset is associated with a USGS publication "Assessment of Undiscovered Oil and Gas Resources in the Eagle Ford Group and Associated Cenomanian-Turonian Strata, U.S. Gulf Coast, Texas, 2018" and summarizes data generated by the author for the publication using IHS Harmony DeclinePlus software. Data includes average estimated ultimate recoveries per square mile for three continuous oil assessment units with location information. Data is derived from IHS Markit data. No proprietary information is contained in this release.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Energy Resources,
Texas-Gulf,
USGS Science Data Catalog (SDC),
estimated ultimate recovery,
geoscientificInformation
This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Hagerstown 30 x 60 minute quadrangle in Pennsylvania, Maryland, and part of West Virginia. The source data used to construct this imagery consists of 1-meter resolution lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2016 and 2023. The data were processed using geographic information systems (GIS) software. The data is projected in WGS 1984 Web Mercator. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation. First release: 2012 Revised: February...
Categories: Data,
Data Release - Revised;
Types: Downloadable,
GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Raster;
Tags: Lidar,
Maryland,
Pennsylvania,
USGS Science Data Catalog (SDC),
West Virginia,
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