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This data release contains information to support water quality modeling in the Delaware River Basin (DRB). These data support both process-based and machine learning approaches to water quality modeling, including the prediction of stream temperature. This section provides spatial data files that describe the rivers, reservoirs, and observational data in the Delaware River Basin included in this release. One shapefile of polylines describes the 459 river reaches that define the modeling network, and another shapefile of polygons includes the three reservoirs (Pepacton, Cannonsville, and Neversink) for which data are included in this release. Additionally, a point shapefile contains locations of monitoring sites...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: DE,
Delaware,
MD,
Maryland,
NJ,
This data release contains cyanotoxin, chlorophyll-a, and pheophytin-a concentration, cyanobacterial genetics, phytoplankton community composition, and multiparameter sonde data collected from 20 sites in five northeastern United States river basins (Penobscot (ME), Santuit (MA), York (VA-WV), Salem (NJ), and Peconic (NY)). Solid Phase Adsorption Toxin Tracking (SPATT) passive samplers were deployed at all sites between August 31 and September 2, 2020, and retrieved after 7 days. Discrete water samples were collected when SPATTs were deployed, and at 2 sites (USGS station IDs 01670257, 0167014792), samples were also collected when the SPATTs were recovered. Sonde data were collected when deploying and retrieving...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Anatoxin-a,
Aquatic Community Health,
Chlorophyll-a,
Contaminants, HABS,
Cyanobacteria,
Digital hydrogeologic datasets were developed for the Greene study area in upstate New York in cooperation with the New York State Department of Environmental Conservation. These datasets define the hydrogeologic framework of the valley-fill aquifer and surrounding till-covered uplands within the study area. Datasets include: bedrock elevation raster, lacustrine silt and clay top and bottom elevation rasters, lidar minimum elevation raster, lacustrine extent polygon, valley-fill extent polygon, and surficial geology polygons. Elevation layers were interpolated at 125-foot discretization to match the model grid cell size.
Digital hydrogeologic datasets were developed for the Jamestown study area in upstate New York in cooperation with the New York State Department of Environmental Conservation. These datasets define the hydrogeologic framework of the valley-fill aquifer and surrounding till-covered uplands within the study area. Datasets include: bedrock elevation raster, lacustrine silt and clay top and bottom elevation rasters (where present), LIDAR minimum elevation raster, lacustrine extent polygon, valley-fill extent polygon, and surficial geology polygons. Elevation layers were interpolated at 125-foot discretization to match what was done in previous work.
Geospatial data that is a derivative land cover product depicting woodland on topographic maps.
This data release contains geospatial data defining estimates of the depth to water and water-table altitude in the upper glacial and Magothy Aquifers, the potentiometric surface of the confined Magothy and Jameco Aquifers, and the potentiometric surface of the Lloyd and North Shore Aquifers on Long Island, New York. Estimates are based on 502 water-level measurements made in wells across Long Island during March-April 2006. Water-table contours were interpolated using measurements from 341 wells screened in the upper glacial aquifer or shallow Magothy Aquifer. Potentiometric-surface contours in the confined Magothy and hydraulically connected Jameco Aquifer were interpolated using measurements from 102 wells. Potentiometric-surface...
These data represent modeled stream temperatures for a portion of a larger dataset known as the Great Northern Landscape Conservation Cooperative (GNLCC) (https://www.fws.gov/science/catalog). This metadata record is a combined description for two spatial data feature types, vector lines and points, which cover the same geographic area. The line features are derived from NHDPlus (http://www.horizon-systems.com/NHDPlus/index.php) (USEPA and USGS, 2010) stream lines and the point data represent 1 km intervals along the NHDPlus stream network. Both datasets contain identical modeled stream temperature attributes. These modeled stream temperatures were generated as part of the U.S. Forest Service NorWeST stream temperature...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: 170101,
170102,
170103,
Academics & scientific researchers,
Data,
These data represent stream temperature observation locations for a portion of a larger study area known as the Great Northern Landscape Conservation Cooperative (GNLCC) https://www.fws.gov/science/catalog. These data were collected and processed as part of the NorWeST stream temperature project http://www.fs.fed.us/rm/boise/AWAE/projects/NorWeST.htmlThese thermograph locations and the attendant temperature observations were used as the baseline data for the NorWeST stream temperature modeling project. As a result, modeled temperatures will be most reliable in areas with the greatest density of thermographs. These data reside in ESRI shapefile format, ArcGIS version 9.3. The point shapefile extents correspond to...
These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This map shows specific water-quality items and hydrologic data site information which come from QWDATA (Water Quality) and GWSI (Ground Water Information System). Both QWDATA and GWSI are subsystems of NWIS (National Water Inventory System)of the USGS (United States Geologic Survey). This map is for Boxelder County, Utah. The scope and purpose of NWIS is defined on the web site: http://water.usgs.gov/public/pubs/FS/FS-027-98/
Sky Island Alliance will develop science and conservation-based guidance to assist natural resource managers in responding to expected climate change and other stressors on springs ecosystems in sky island regions of the Desert LCC. The project will result in publication of an Arizona Springs Restoration Handbook, which will aid managers in directing limited resources to preserve these key water resources and species that depend on them.
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2013,
AZ-01,
AZ-02,
AZ-03,
Academics & scientific researchers,
This project will be focused on hosting 2-3 workshops in 2013 to train people to conduct the Springs Stewardship Institute’s spring assessment protocol and promote it as a standardized method. This will facilitate standardized data collection across the landscape that can contribute to a broad-scale inventory and assessment of springs, seeps, and aquatic resources throughout the Desert LCC.
Categories: Data,
Project;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: 2012,
AZ-01,
AZ-02,
AZ-03,
AZ-04,
The Forest to Faucets dataset provides a watershed index of surface drinking water importance, a watershed index of forest importance to surface drinking water, and a watershed index to highlight the extent to which development, fire, and insects and disease threaten forests important for surface drinking water. This layer displays the percent of the HUC watershed that is threatened bu insects and disease. For further information, see the methods paper titled, “From the Forest to the Faucet: Drinking Water and Forests in the US” located at http://www.fs.fed.us/ecosystemservices/FS_Efforts/forests2faucets.shtml.
Geospatial data that is a derivative land cover product depicting woodland on topographic maps.
Abstract (from http://www.sciencedirect.com/science/article/pii/S0034425716302619): Groundwater dependent ecosystems (GDEs) rely on near-surface groundwater. These systems are receiving more attention with rising air temperature, prolonged drought, and where groundwater pumping captures natural groundwater discharge for anthropogenic use. Phreatophyte shrublands, meadows, and riparian areas are GDEs that provide critical habitat for many sensitive species, especially in arid and semi-arid environments. While GDEs are vital for ecosystem services and function, their long-term (i.e. ~ 30 years) spatial and temporal variability is poorly understood with respect to local and regional scale climate, groundwater, and...
Categories: Publication;
Types: Citation;
Tags: Data Visualization & Tools,
Mammals,
Northwest CASC,
Remote Sensing,
Rivers, Streams and Lakes,
This project links climate, hydrological, and ecological changes over the next 30 years in a Great Basin watershed. In recent years, climate variability on annual and decadal time scales has been recognized as greater than commonly perceived with increasing impacts on ecosystems and available water resources. Changes in vegetation distribution, composition and productivity resulting from climate change affect plant water use, which in turn can alter stream flow, groundwater and eventually available water resources. To better understand these links, project researchers implemented two computer-based numeric models in the Cleve Creek watershed in the Schell Creek Range, east of Ely, Nevada. The application of the...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2013,
CASC,
Cleve Creek,
Climate,
Completed,
To understand potential climate change impacts on ecosystems, water resources, and numerous other natural and managed resources, climate change data and projections must be downscaled from coarse global climate models to much finer resolutions and more applicable formats. This project conducted comparative analyses to better understand the accuracy and properties of these downscaled climate simulations and climate-change projections. Interpretation, guidance and evaluation, including measures of uncertainties, strengths and weaknesses of the different methodologies for each simulation, can enable potential users with the necessary information to select and apply the models.
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2012,
CASC,
Completed,
Data Visualization & Tools,
Data Visualization & Tools,
Lake temperature is an important environmental metric for understanding habitat suitability for many freshwater species and is especially useful when temperatures are predicted throughout the water column (known as temperature profiles). In this data release, multiple modeling approaches were used to generate predictions of daily temperature profiles for thousands of lakes in the Midwest. Predictions were generated using two modeling frameworks: a machine learning model (specifically an entity-aware long short-term memory or EA-LSTM model; Kratzert et al., 2019) and a process-based model (specifically the General Lake Model or GLM; Hipsey et al., 2019). Both the EA-LSTM and GLM frameworks were used to generate...
This data release contains information to support water quality modeling in the Delaware River Basin (DRB). These data support both process-based and machine learning approaches to water quality modeling, including the prediction of stream temperature. This section includes model drivers such as gridded weather data (NOAA GEFS and GridMET), and the stream network distance matrix for the Delaware River Basin. Additionally, inputs and outputs from an uncalibrated process-based stream temperature model (PRMS-SNTemp) are included.
This dataset includes georeferenced tiff files from two separate reports for the Greene study area, where appropriate data have been digitized into feature classes within ArcGIS. Not all digitized and georeferenced data was necessarily used in the final interpolations, however they may have contributed to understanding the local hydrogeology
This dataset includes georeferenced tiff files from two separate reports for the Cortland study area that have been digitized into feature classes within ArcGIS. Not all digitized and georeferenced data was necessarily used in the final interpolations, however they may have contributed to understanding the local hydrogeology
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