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This dataset is the output of a python script/ArcGIS model that identifes dikes as having a difference in elevation above a certain threshold. If the elevation difference was below a certain threshold the area was not considered a dike; however, if the difference in elevation between two points was significantly high then the area was marked as a dike. Areas continuous with eachother were considered part of the same dike. Post processing occured. Users examined the data output, comparing the proposed dike locations to aerial imagery, flowline data, and the DEM. Dikes that appeared to be false positives were deleted from the data set.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Great Lakes,
LIDAR,
Lake Erie,
biogeography,
coastal ecosystems,
This dataset consists of historical estimates and future projections of land use and climate data summarized within the 1:100,000 National Hydrography Dataset Version 2 (NHDPlusV2) framework for catchments and upstream accumulated watersheds. Historical land use data are for the year 2005 and future land use projections are for the years 2030, 2060, and 2090. The projections offer a unique combination of thematic detail (17 land-use and land-cover classes). Historical climate estimates are averaged over the time period 1980-1999 and future climate projections are averaged over 20-year periods centered around the years 2030, 2060, and 2090. Climate data include seasonal measures of average air temperature (℃) and...
This dataset includes the magnetotelluric (MT) sounding data collected in 2008 in and near the Patagonia Mountains of Arizona. The U.S. Geological Survey (USGS) conducted a series of multidisciplinary studies as part of the Assessment Techniques for Concealed Mineral Resources project funded by the USGS Minerals Resources Program in cooperation with the U.S. Forest Service.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arizona,
CGGSC,
Crustal Geophysics and Geochemistry Science Center,
Cumero Canyon,
Electromagnetic surveying,
This dataset is the output of a python script/ArcGIS model that identifes dikes as having a difference in elevation above a certain threshold. If the elevation difference was below a certain threshold the area was not considered a dike; however, if the difference in elevation between two points was significantly high then the area was marked as a dike. Areas continuous with eachother were considered part of the same dike. Post processing occured. Users examined the data output, comparing the proposed dike locations to aerial imagery, flowline data, and the DEM. Dikes that appeared to be false positives were deleted from the data set.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Detroit River,
Great Lakes,
LIDAR,
Lake St. Clair,
St. Clair River,
The Desert LCC identified the need for a Protected Areas spatial database that showed land ownership, management designations and conservation status for lands in the United States and Mexico. However, the existing Protected Areas database was found to be particularly prone to boundary and database errors that affected its potential use. This USGS project will develop a single, seamless, error-free Protected Areas dataset for the full geographic scope of the Desert LCC. This will involve acquiring numerous spatial layers from Federal, State, and NGO organizations which are responsible for administering and/or managing areas that have a designated protected status. Protected Area will be categorized as defined by...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2012,
AZ-01,
AZ-02,
AZ-03,
AZ-04,
"The data you have secured from the U.S. Geological Survey (USGS) database identified as National Hydrologic Geospatial Fabric Reference and Derived Hydrofabrics have not received USGS approval and as such are provisional and subject to revision. The data are released on the condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from its authorized or unauthorized use." "Although these data have been processed successfully on a computer system at the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such...
In 2013, the first of several Regional Stream Quality Assessments (RSQA) was done in the Midwest United States. The Midwest Stream Quality Assessment (MSQA) was a collaborative study by the U.S. Geological Survey (USGS) National Water Quality Assessment (NAWQA), the USGS Columbia Environmental Research Center, and the U.S. Environmental Protection Agency (USEPA) National Rivers and Streams Assessment (NRSA). One of the objectives of the RSQA, and thus the MSQA, is to characterize the relationships between water-quality stressors and stream ecology and to determine the relative effects of these stressors on aquatic biota within the streams (U.S. Geological Survey, 2012). To meet this objective, a framework of fundamental...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Ecoregions,
Geographic Information Systems,
Geospatial Analysis,
Geospatial Datasets,
Illinois,
This U.S. Geological Survey (USGS) data release consists of two hydrographic datasets with spatial modeling units, two sets of spatial data consistent with the National Hydrologic Model (NHM) Geospatial Fabric for National Hydrologic Modeling (abbreviated within this document as GFv1, Viger and Bock, 2014), and a database of 118 parameters used to run the NHM . These datasets are found as subpages to this landing page as 1) the GIS (geographic information system) features of the United States-Canada Transboundary Geospatial Fabric (TGF, added 08/04/2020), 2) the GIS features of the Geospatial Fabric v1.1 (GFv1.1 or v1_1, added 08/04/2020) which is an update to the GF and includes the TGF, 3) Topographic derivative...
Categories: Data,
Data Release - Revised;
Tags: Canada,
Geographic Information Systems,
Hydrologic Response Units,
Hydrologic modeling,
Points of Interest,
In 2013, the first of several Regional Stream Quality Assessments (RSQA) was done in the Midwest United States. The Midwest Stream Quality Assessment (MSQA) was a collaborative study by the U.S. Geological Survey (USGS) National Water Quality Assessment (NAWQA), the USGS Columbia Environmental Research Center, and the U.S. Environmental Protection Agency (USEPA) National Rivers and Streams Assessment (NRSA). One of the objectives of the RSQA, and thus the MSQA, is to characterize the relationships between water-quality stressors and stream ecology and to determine the relative effects of these stressors on aquatic biota within the streams (U.S. Geological Survey, 2012). To meet this objective, a framework of fundamental...
This represents the flowline network in Western Lale Erie Restoration Assessment (WLERA). It is attributed with the number of disconnections between the reach and the connecting river system. These data will help identify the condition of hydrologic separation between potential restoration areas and the connecting river system. Low numbers represent fewer disconnections such as culverts between the reach and the rivers requiring no flow network modification to restore the area.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Artificial Path,
Canal / Ditch,
FWHydrography,
Great Lakes,
Hydrography,
The most comprehensive historical aerial imagery of Alaska available to the public was collected as partof the Alaska High-Altitude Aerial Photography Program (AHAP) during 1978-1986. Recent studiesexamining coastline erosion have clearly demonstrated that the AHAP photographs are a valuablebaseline for detecting and quantifying change that occurred in Alaska in recent decades. Unfortunately,these data have been greatly underutilized due to challenges associated with orthorectifying the rawimagery and making it ready for users of Geographic Information Systems (GIS). By partnering with theAlaska Satellite Facility (ASF) at the University of Alaska Fairbanks the ALCC has made high-qualityAHAP orthomosaics of the...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Academics & scientific researchers,
COASTAL AREAS,
COASTAL AREAS,
COASTAL HABITAT,
COASTAL HABITAT,
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,
This data release consists of point data digitized from structural geologic orientation symbols consisting of mostly foliations and lineations. The data comes from primarily Proterozoic aged rocks in the eastern-central Rocky Mountain Front Range of Colorado. Compilation of the data is from twenty-three geologic maps published by the U.S. Geological Survey and the Colorado Geological Survey between 1964 and 2009, primarily using 7.5-minute, 1:24,000 scale quadrangles. Structural geologic orientation data of planar features (e.g., foliations) and linear features (e.g., fold axes), both with associated attribute values of strike and trend, dip and plunge, location, elevation, and geologic unit were captured for more...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: Colorado,
GGGSC,
Geology, Geophysics, and Geochemistry Science Center,
MRP,
Mineral Resources,
A rich legacy of geochemical data produced since the early 1960s covers the great expanse of Alaska; careful treatment of such data may provide significant and revealing geochemical maps that may be used for landscape geochemistry, mineral resource exploration, and geoenvironmental investigations over large areas. To maximize the spatial density and extent of data coverage for statewide mapping of element distributions, we compiled and integrated analyses of more than 175,000 sediment and soil samples from three major, separate sources: the U.S. Geological Survey, the National Uranium Resource Evaluation program, and the Alaska Division of Geological & Geophysical Surveys geochemical databases. Various types of...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Alaska,
Alaska,
Data Processing,
Data Series,
North America,
This dataset consists of 262 variables which describe various known and suspected point and non-point sources of contaminants and endocrine disrupting compounds (EDCs) throughout the Chesapeake Bay Watershed. Contaminant data was summarized to the NHDPlus Version 2.1 catchment level (1:100K). Contaminant data summarized span a time range of 2001 to 2016 and include regulated facilities, pesticides, manure and biosolids application data, mercury deposition, animal feeding applications, septic systems, landfills, and land use and land cover. These data are presented in a comma separated file, which includes all variables summarized and the NHDPlus Version 2.1 FEATUREID field (also known as COMID). The FEATUREID field...
Categories: Data,
Data Release - Revised;
Types: Citation;
Tags: Aquatic Biology,
Chesapeake Bay,
Chesapeake Bay Basin,
Delaware,
Discharge Monitoring Report (DMR),
This dataset includes the locations of magnetotelluric (MT) stations collected in 2006 in the Southern San Luis Valley, Colorado. The U.S. Geological Survey conducted a series of multidisciplinary studies, including MT surveys, in the San Luis Valley to improve understanding of the hydrogeology of the Santa Fe Group and the nature of the sedimentary deposits comprising the principal groundwater aquifers of the Rio Grande rift. The shallow unconfined and the deeper confined Santa Fe Group aquifers in the San Luis Basin are the main sources of municipal water for the region. The population of the San Luis Valley region is growing rapidly and water shortfalls could have serious consequences. Future growth and land...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Colorado,
Costilla County,
Electromagnetic surveying,
GIS,
GPS measurement,
This product contains 1,297 watershed boundaries for water quality study sites of the U.S. Geological Survey (USGS) National Water Quality Program (NWQP) Surface Water Trends project. These include sites where water quality information was collected by both USGS and non-USGS agencies. The data consist of 1,285 boundaries in the conterminous United States, and 12 in Puerto Rico. Twenty-seven percent of boundaries were assembled from other efforts within the USGS which are using the same sites, and 73 percent of boundaries were created new for this project. The data are posted as a single shapefile with separate polygons for each boundary.
Categories: Data;
Types: Citation;
Tags: Basin boundaries,
Geographic Information Systems,
Geospatial Analysis,
Geospatial Datasets,
NHDPlus,
This represents the flowline network in Connecting River Systems Restoration Assessment (CRSRA). It is attributed with the number of disconnections between the reach and the connecting river system. These data will help identify the condition of hydrologic separation between potential restoration areas and the connecting river system. Low numbers represent fewer disconnections such as culverts between the reach and the rivers requiring no flow network modification to restore the area.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Artificial Path,
Canal / Ditch,
Detroit River,
FWHydrography,
Great Lakes,
The Desert Landscape Conservation Cooperative (LCC) is a partnership formed and directed by resource management entities as well as interested public and private entities in the Mojave, Sonoran, and Chihuahuan Desert and montane sky island regions of the southwestern United States and northern Mexico. Desert LCC science depends on access to transboundary base datasets. Given the importance of vegetation such as grasslands and riparian vegetation in conservation science, a bi-national, landscape-scale vegetation data layer with classes relevant to Desert LCC research is crucial. One objective of this project is to investigate appropriate methodologies and landscape scales to create a Desert LCC binational land cover...
This dataset is the output of a python script/ArcGIS model that identifes dikes as having a difference in elevation above a certain threshold. If the elevation difference was below a certain threshold the area was not considered a dike; however, if the difference in elevation between two points was significantly high then the area was marked as a dike. Areas continuous with eachother were considered part of the same dike. Post processing occured. Users examined the data output, comparing the proposed dike locations to aerial imagery, flowline data, and the DEM. Dikes that appeared to be false positives were deleted from the data set.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Great Lakes,
LIDAR,
Saginaw Bay,
biogeography,
coastal ecosystems,
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