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The Northern Prairie Wildlife Research Center (NPWRC) conducts integrated research to fulfill the Department of the Interior’s responsibilities to the Nation’s natural resources. Located on 600 acres along the James River Valley near Jamestown, North Dakota, the NPWRC develops and disseminates scientific information needed to understand, conserve, and wisely manage the Nation’s biological resources. Research emphasis is primarily on midcontinental plant and animal species and ecosystems of the United States.
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The Science Framework for the Conservation and Restoration Strategy of the Sagebrush Biome provides a strategic, multiscale approach for prioritizing areas for management and determining effective management strategies across the sagebrush biome. It includes: A six step process linking information on sagebrush ecosystem resilience to species habitat requirements An assessment of the predominant ecosystem and anthropogenic threats Decision tools including a habitat matrix to aid in determining project areas and appropriate management actions at multiple scales Geospatial data, maps and models provided through the U.S. Geological Survey ScienceBase and BLM Landscape Approach Data Portal to support future assessments...
Our objective is to improve the scientific understanding of the modes, rates, and mechanisms of carbon stabilization and losses in soils from Alaska, California, and other Western states. We focus on the biophysical and microbial mechanisms that drive carbon gains and losses, and to use our data to improve models of soil carbon cycling. This catalog supports research from several projects focused on soil carbon cycling. It encompasses multiple types of datasets including environmental, ecological, biological, isotopic, mineralogical, genomic, flux, and modeled data from water, vegetation, soil, and atmospheric matrices. The catalog will be available online and to the public. Therefore, publication of data through...
This community serves to document data and analysis collected by researchers within the Upper Midwest Water Science Center whose mission is to collect high-quality hydrologic data and conduct unbiased, scientifically sound studies of water resources within the Great Lakes and Upper Mississippi Basins. We strive to meet the changing needs of those who use our information—from the distribution, availability, and quality of our water resources to topic-oriented research that addresses current hydrological issues.
OBIS-USA brings together marine biological occurrence data – recorded observations of identifiable marine species at a known time and place, collected primarily from U.S. Waters or with U.S. funding. Coordinated by the Science Analytics and Synthesis (SAS) Program of the United States Geological Survey (USGS), OBIS-USA, strives to meet national data integration and dissemination needs for marine data about organisms and ecosystems. OBIS-USA is part of an international data sharing network (Ocean Biodiversity Information System, OBIS) coordinated by the Intergovernmental Oceanographic Commission, of UNESCO (United Nations Educational, Science and Cultural Organization) International Oceanographic Data and Information...
Tags: Arctic Ocean, Atlantic Ocean, Bay of Fundy, Beaufort Sea, Bering Sea, All tags...
This Science Base page is for transfer of files related to the work of the Water Reuse Program. This location is to be used for transfering large files and spatial data among project members. Data posted here is data created by project members and not otherwise published or accessible elsewhere. These pages are orginized as Spatial (point covergaes, polygon shapefiles etc) and Tabular Data (NWIS pulls, Climate pulls, etc) as such: Code-> Python R Spatial Data-> Surface Water Ground Water Tabular Data-> Climate NWIS flow data Ag Census
Flood is the most devastating of all natural disasters, leading to both human fatalities and economic losses worth billions of dollars every year. Flood inundation maps play a key role in mitigating flood related losses by indicating areas that are vulnerable to floods. However, the conventional approach to creating flood maps using hydraulic modeling is resource extensive, and cannot be applied easily in rural data sparse regions in the United States (U.S.). An alternative way to produce floodplain maps is proposed in Sangwan and Merwade (2015), which uses easily accessible gSSURGO soil data to produce floodplain maps for larger regions. This community aims at providing national scale floodplain map for the entire...
This community catalog serves the USGS Pennsylvania Water Science Center. The Water Science Center's mission is to collect, analyze and disseminate the impartial hydrologic data and information needed to wisely manage water resources for the people of the United States and the Commonwealth of Pennsylvania. In Pennsylvania, the USGS's water-resources roots date back to the late 1800's, with the initiation of streamflow gaging on the Delaware and Susquehanna Rivers and the evaluation of groundwater resources in various parts of the Commonwealth. Today, the Pennsylvania Water Science Center's cadre of nearly 80 scientists, technicians, and support staff in New Cumberland, Exton, Pittsburgh, and Williamsport work in...
This community page serves as a repository for current and past versions of earthquake geology input data utilized in the National Seismic Hazard Model (NSHM) 2023 release. As updates occur, a new Data Release for each subsequent will be disseminated with a unique DOI and a separate link on this page. This page is maintained by: Alex Hatem Research Geologist Geologic Hazards Science Center ahatem@usgs.gov
The USGS Science Analytics and Synthesis Foundational Data Community supports the SAS mission by providing reliable scientific occurrence, habitat, taxonomic, and range data for terrestrial, freshwater and marine species and ecosystems and protected areas data for the U.S.. These datasets are each supported by an update plan that is determined to meet stakeholder and user needs. The datasets are national in scope and are an authoritative source for the information they provide.
The GeoArchive is an active archive of source digital material used across the USGS geosciences. Developed within ScienceBase, it provides a stable reference point for various types structured and unstructured data and information objects used to create or add to other USGS geoscience data assets. The immediate collection items below this root level provide logical containers for different specific archival materials stored in this system. Each logical archive container will employ its own specific form and structure based on the needs of its contents, but we will endeavor to use common conventions across the system such as useful vocabularies for key concepts important in discovering and reporting on materials...
The USGS Ecosystems Mission Area Water Quality Across Regional Stream Networks project focuses on the generation, flux, and biogeochemistry of water quality constituents at multiple temporal and spatial scales in stream networks. Water quality in streams is influenced by landscape and climatic factors along with biogeochemical reactions occurring within the water column or sediments. However, the prevailing drivers of water quality differ depending upon the scale considered. This project aims to analyze the behavior of water quality at multiple scales to determine the main drivers of water quality constituent concentrations and fluxes at the different scales. We work from the scale of soil/sediment-water interface...
Preliminary estimates of annual agricultural use of pesticide compounds in counties of the conterminous United States are compiled by means of methods described in Thelin and Stone (2013) and Baker and Stone (2015). For all States except California, U.S. Department of Agriculture county-level data for harvested-crop acreage are used in conjunction with proprietary Crop Reporting District-level pesticide-use data to estimate county-level pesticide use. Where Crop Reporting District data are not available or are incomplete, estimated pesticide-use values are calculated with two different methods, resulting in a low and a high estimate based on different assumptions about missing survey data (Thelin and Stone, 2013)....
Our objective is to develop improved integration of data and models of soil and ecosystem processes at the regional scale in order to better quantify change in response disturbances, particularly drought. Specifically, we synthesize existing and generate new datasets of soil properties of soils form the Upper Colorado River Basin region of the Western US. Data types include geospatial databases and maps; soil physical, chemical, and biological datasets; soil hydrologic data; stream and river chemistry associated with regional mapping of soils; model input parameterizations and output data.
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The introduction of exotic plant species into the western United States has caused substantial changes to rangeland disturbance regimes and ecosystem structure and function. For example, exotic annual grass (EAG) invasion in western rangelands has increased wildfire frequency, which greatly reduces rangeland ecosystem diversity and leads to single-species dominance in many areas. Rangeland monocultures do not provide optimal carbon sequestration and other environmental processes necessary to sustain historically normal ecosystem structure, including the ecological diversity needed to support sagebrush obligates like Greater Sagegrouse, pygmy rabbit, and pronghorn. These obligates, as well as others, require contiguous,...
This site is for data and information compilation and sharing related to the work of the Predictive Understanding of Multiscale Processes (PUMP) project. PUMP is advancing multi-scale, integrated modeling capabilities to address priority water resource issues within the Integrated Water Prediction (IWP) program, Integrated Water Science (IWS) Basin studies, Integrated Water Availability Assessments (IWAAs), and other relevant Water Mission Area (WMA) project efforts. Development and testing of modeling approaches occurs at multiple scales spanning national and sub-national domains.  Models will leverage physical process-driven approaches, data-driven approaches (statistical and machine learning (ML)), and hybrid...
The AMMonitor community is a collaboration of remote wildlife monitoring projects whose media data (audio, photos, and video and their metadata) comprise a repository for use in (1) ongoing adaptive management and research of wildlife, and (2) the development of new predictive models, via machine learning, for the automated identification of target species from media. Each collaborating project uses the AMMonitor R package and database structure for pooling data under a unifying framework that meets high quality standards for rich metadata. Each project exists as a child-item of this ScienceBase community, containing metadata about the project itself. These project items contain media folders as children, which...
The National Hydrologic Geospatial Fabric (NHGF or the fabric) is a Water Mission Area (WMA) project focused on developing a web-accessible, middle-tier data system that will provide users access to the best-available geospatial data for hydrologic simulation modeling.
Tags: climate


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