Filters: Tags: {"scheme":"USGS Thesaurus"} (X) > Types: ArcGIS REST Map Service (X) > Extensions: ArcGIS REST Service (X) > partyWithName: U.S. Geological Survey (X)

Filters Date Range Past year (1) Past month (0) Past week (0) Past day (0) Custom range... To   Search Types Map Service (5) Contacts Alexa McKerrow Dr. Alexa McKerrow Nathan Tarr North Carolina State University, Cooperative Fish and Wildlife Research Unit ScienceBase Data Release Team More... Categories Data (5) Tag Types Theme (22) Tags (with Scheme=USGS Thesaurus) biodiversity (4) species distribution (4) wildlife biology (4) brine (1) energy resources (1) geochemistry (1) hydraulic fracturing (1) More... View Results as: JSON ATOM CSV

U.S. Geological Survey - Gap Analysis Project Reptile Species Habitat Richness The Species Richness Maps included here are based on the Gap Analysis Project (GAP) habitat maps, which are predictions of the spatial distribution of suitable environmental and land cover conditions within the United States for individual species. Individual species habitat distribution models were summed to create the total richness for each vertebrate taxa. The summing process was coded in Python 2.7 and employed the arcpy module for geoprocessing steps. The code is documented in the log file which is included in the Sciencebase item along with the richness data for each taxa (See processing steps for file names and sciencebase urls). Mapped habitat distribution areas represent places where the environment is... Categories: Data; Types: ArcGIS REST Map Service, Map Service; Tags: United States, biodiversity, biota, conservation, gap analysis, All tags... species distribution, wildlife biology, Fewer tags U.S. Geological Survey - Gap Analysis Project Bird Species Habitat Richness The Species Richness Maps included here are based on the Gap Analysis Project (GAP) habitat maps, which are predictions of the spatial distribution of suitable environmental and land cover conditions within the United States for individual species. Individual species habitat distribution models were summed to create the total richness for each vertebrate taxa. The summing process was coded in Python 2.7 and employed the arcpy module for geoprocessing steps. The code is documented in the log file which is included in the Sciencebase item along with the richness data for each taxa (See processing steps for file names and sciencebase urls). Mapped habitat distribution areas represent places where the environment is... Categories: Data; Types: ArcGIS REST Map Service, Map Service; Tags: United States, biodiversity, biota, conservation, gap analysis, All tags... species distribution, wildlife biology, Fewer tags U.S. Geological Survey - Gap Analysis Project Mammal Species Habitat Richness The Species Richness Maps included here are based on the Gap Analysis Project (GAP) habitat maps, which are predictions of the spatial distribution of suitable environmental and land cover conditions within the United States for individual species. Individual species habitat distribution models were summed to create the total richness for each vertebrate taxa. The summing process was coded in Python 2.7 and employed the arcpy module for geoprocessing steps. The code is documented in the log file which is included in the Sciencebase item along with the richness data for each taxa (See processing steps for file names and sciencebase urls). Mapped habitat distribution areas represent places where the environment is... Categories: Data; Types: ArcGIS REST Map Service, Map Service; Tags: United States, biodiversity, biota, conservation, gap analysis, All tags... species distribution, wildlife biology, Fewer tags U.S. Geological Survey - Gap Analysis Project Amphibian Species Habitat Richness The Species Richness Maps included here are based on the Gap Analysis Project (GAP) habitat maps, which are predictions of the spatial distribution of suitable environmental and land cover conditions within the United States for individual species. Individual species habitat distribution models were summed to create the total richness for each vertebrate taxa. The summing process was coded in Python 2.7 and employed the arcpy module for geoprocessing steps. The code is documented in the log file which is included in the Sciencebase item along with the richness data for each taxa (See processing steps for file names and sciencebase urls). Mapped habitat distribution areas represent places where the environment is... Categories: Data; Types: ArcGIS REST Map Service, Map Service; Tags: United States, biodiversity, biota, conservation, gap analysis, All tags... species distribution, wildlife biology, Fewer tags U.S. Geological Survey National Produced Waters Geochemical Database v2.3 Note: this data release has been superseded by a new version 3.0 published in 2023. Find the new version here: https://doi.org/10.5066/P9DSRCZJ. During hydrocarbon production, water is typically co-produced from the geologic formations producing oil and gas. Understanding the composition of these produced waters is important to help investigate the regional hydrogeology, the source of the water, the efficacy of water treatment and disposal plans, potential economic benefits of mineral commodities in the fluids, and the safety of potential sources of drinking or agricultural water. The U.S. Geological Survey National Produced Waters Geochemical Database v2.3 is an updated compilation of geochemical and related information... Categories: Data; Types: ArcGIS REST Map Service, Map Service; Tags: USGS Science Data Catalog (SDC), United States of America, brine, energy resources, geochemistry, All tags... hydraulic fracturing, oil and gas, produced waters, salinity, shale gas, unconventional production, water chemistry, Fewer tags