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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,
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,
The dataset is composed of four tables containing environmental DNA (eDNA) data, fish capture data, and site location information from Round Goby (Neogobius melanostomus) surveys conducted on parts of the Champlain Canal and upper Hudson River, and adjacent areas, in New York during 2022 and 2023. First posted May 5, 2022, ver. 1.0 Revised June 2022, ver. 2.0 Revised August 2022, ver. 3.0 Revised November 2022, ver. 4.0 Revised February 2023, ver. 5.0 Revised May 2023, ver. 6.0 Revised June 2023, ver. 7.0 Revised September 2023, ver. 8.0 Revised October 2023, ver. 9.0 Revised December 2023, ver. 10.0
The dataset is composed of three data tables containing information from electrofishing and pebble count surveys conducted in tributaries to the Mohawk River in central and eastern New York during 2019. The first table contains information on the sampled reaches, the second table contains fish collection data, and the third table contains pebble count data.
Categories: Data,
Data Release - Revised;
Types: ArcGIS REST Map Service,
Map Service;
Tags: Ambient Monitoring,
Aquatic Biology,
Aquatic Community Health,
Ecosystem Health,
Mohawk River,
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,
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,
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,
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