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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 Uintah County, Utah. The scope and purpose of NWIS is defined on the web site: http://water.usgs.gov/public/pubs/FS/FS-027-98/
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 Daggett County, Utah. The scope and purpose of NWIS is defined on the web site: http://water.usgs.gov/public/pubs/FS/FS-027-98/
Rainwater Harvesting and Stormwater Research is a priority research area identified by the Arizona Governor’s Blue Ribbon Panel on Water Sustainability, which recommended that universities take the lead to identify regulatory barriers, cost and benefits, water quality issues and avenues for increasing utilization of stormwater and rainwater at the regional, community and individual property level. In an effort to address the priority research area, the University of Arizona will develop a decision support tool to be used by public utilities and agencies to evaluate suitability and cost-effectiveness of rainwater and stormwater capture at various scales for multiple benefits. Data from the City of Tucson, Arizona...
Categories: Data,
Project;
Types: Downloadable,
GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Raster,
Shapefile;
Tags: 2011,
AZ-02,
AZ-03,
Applications and Tools,
Arizona,
The New York Water Science Center of the U.S. Geological Survey (USGS) in Troy, N.Y., operates a state-of-the-science laboratory for the chemical analysis of soil and water. For over 20 years, the laboratory has specialized in analyses used in acid rain research and other environmental studies such as soil effects on forest health and logging effects on water quality. Laboratory Information: Contact the Lab for customized schedules and fees. phone: (518) 285-5681 Water Soils Ammonium ...
Categories: Data,
Project;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Contaminants, Natural,
Contaminants, Natural,
Contaminants, natural,
Cooperative Water Program,
Laboratory,
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...
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...
Description: The upper Gila River in New Mexico is one of the few unobstructed rivers in the Colorado River Basin with largely intact native fish populations, including four federally listed and one state listed species.Freshwater systems throughout the West continue to be threatened by human encroachment and water development. Methodologies or decision support tools to evaluate resource management practices that foster an understanding of how fish species adapt to the effects of climate change are critical to future resource management planning.
Categories: Data,
Publication;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2011,
AZ-01,
AZ-02,
Academics & scientific researchers,
Applications and Tools,
Abstract (from http://onlinelibrary.wiley.com/doi/10.1002/hyp.10964/abstract): While the effects of land use change in urban areas have been widely examined, the combined effects of climate and land use change on the quality of urban and urbanizing streams have received much less attention. We describe a modelling framework that is applicable to the evaluation of potential changes in urban water quality and associated hydrologic changes in response to ongoing climate and landscape alteration. The grid-based spatially distributed model, Distributed Hydrology Soil Vegetation Model-Water Quality (DHSVM-WQ), is an outgrowth of DHSVM that incorporates modules for assessing hydrology and water quality in urbanized watersheds...
Categories: Publication;
Types: Citation;
Tags: Data Visualization & Tools,
Northwest CASC,
Rivers, Streams and Lakes,
Science Tools For Managers,
Streams,
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 contains observations related to the amount and quality of water in the Delaware River Basin. Data from a subset of reservoirs in the basin include observed daily depth-resolved water temperature, water levels, diversions, and releases. Data from streams in the basin include daily flow and temperature observations. Observations were compiled from a variety of sources, including the National Water Inventory System, Water Quality Portal, EcoSHEDS stream...
This dataset includes spreadsheets with statistical data (mean and median absolute error) used in deciding which interpolation method best fit the corresponding dataset. All statistical data were paired with a visual inspection of the interpolation prior to determining the final raster product. All spreadsheets were generated using an automated python script (Jahn, 2020).
This dataset includes well logs used in the creation of the Cortland hydrogeologic framework. Well logs were used from multiple sources (DEC, DOT, NWIS) and were a crucial component in generating hydrogeologic layer elevations and thicknesses. Well logs are available in their original form on GeoLog Locator (https://webapps.usgs.gov/GeoLogLocator/#!/) and provided here in the digitized form (shapefiles and feature classes), which were used in the generation of the hydrogeologic framework.
Digital hydrogeologic datasets were developed for the Rondout-Neversink 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.
This dataset includes well logs used in the creation of the Olean hydrogeologic framework. Well logs were used from multiple sources (DEC, DOT, NWIS, ESOGIS, and recently digitized archived material) and were a crucial component in generating hydrogeologic layer elevations and thicknesses. Well logs are available in their original form on GeoLog Locator (https://webapps.usgs.gov/GeoLogLocator/#!/) and provided here in the digitized form (shapefiles and feature classes), which were used in the generation of the hydrogeologic framework.
This dataset includes "smoothing points" used in the creation of the Jamestown hydrogeologic framework. Smoothing points were manually added and were used to enhance interpolated layers using geologic assumptions and include: valley edge points, centerline bedrock points, and upland bedrock SSURGO points.
The town of Greene is located in Chenango County, New York. Previous USGS reports here include Open-File Report 2003-242 (Hetcher and others, 2003), and Scientific Investigations Map 2914 (Hetcher-Aguila and Miller, 2005). The five child pages below break the data up into georeferenced and digitized previous report data, interpreted geologic information, well logs, supplemental point data, and interpolation statistics.
Texas Tech University will conduct quantitative and predictive analysis of the connectivity of isolated desert “wetlands”, that include tinajas, the name for eroded pools in bedrock, for 20 wildlife species over the Sonoran desert ecoregion. Potential loss of wetlands due to climate change will also be studied to identify high value areas that can be prioritized for future restoration efforts and targeted for better management practices.Target species for landscape connectivity analysis include:Colorado River toad ( Incilius alverius )American bullfrog ( Lithobates catesbeianus )Chiricahua leopard frog ( Lithobates chiricahuensis )Lowland leopard frog ( Lithobates yavapaiensis )Couch’s spadefoot ( Scaphiopus couchii...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2013,
AZ-01,
AZ-02,
AZ-03,
AZ-04,
California’s Central Valley is a nexus for water resources in the state, draining the Sacramento and San Joaquin River watersheds. Urban centers, agricultural operations, and the environment all compete for limited water, and demand is expected to only increase as the population grows and agriculture intensifies. At the same time, the water supply is projected to decrease as temperatures rise, precipitation patterns change, and the frequency of extreme droughts increases. The Central Valley also provides critical wetland habitats to migratory waterbirds, and wetland managers require information on how to best use water resources to support wildlife objectives, particularly during drought. This project seeks to...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2015,
Birds,
Birds,
CASC,
Completed,
FY2014This project builds upon the springs and seeps inventory funded by the Desert LCC.This project will: Fill a significant gap in aquatic habitat information for scenario planning. Create a publically available geospatial database of approximately 2,000+ known Great Basin springs. Create a summary report on the biotic and abiotic conditions of the known springs.
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Academics & scientific researchers,
California,
California,
California,
California,
The Shivwits Band of the Paiute Indian Tribe of Utah (PITU) has recognized the need to identify and assess the potential impacts of landscape-level stressors, such as climate change and drought, on tribal and ancestral lands and resources, such as water resources and culturally significant species and the habitats and ecosystems that support them. With funding from the Southern Rockies Landscape Conservation Cooperative, the Shivwits hired Barbara Dugelby1 of Round River Conservation Studies to conduct the assessment and prepare this report. The results of this report and the assessment will be integrated into the overall landscape level assessment of SRLCC priorities. This report presents a summary of the findings...
Soil pH measures acidity, which affects nutrient uptake by plants. The most common soil laboratory measurement of pH is the 1:1 water method. A crushed soil sample is mixed with an equal amount of water, and a measurement is made of the suspension. For each soil layer, this attribute is actually recorded as three separate values in the database. A low value and a high value indicate the range of this attribute for the soil component. A "representative" value indicates the expected value of this attribute for the component. For this soil property, only the representative value is used. A weighted average aggregation method was used to aggregate soil components within a 0-30 cm depth range.The dataset was derived...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: DSL,
Data,
LCC Network Science Catalog,
North Atlantic Landscape Conservation Cooperative Data.gov,
Soil,
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