Data and Tools
Biology and Ecosystems Datasets
Mapping, Remote Sensing, and Geospatial Data
The data collected and the techniques used by USGS scientists should conform to or reference national and international standards and protocols if they exist and when they are relevant and appropriate. For datasets of a given type, and if national or international metadata standards exist, the data are indexed with metadata that facilitates access and integration.
Modeling streamflow is an important approach for understanding landscape-scale drivers of flow and estimating flows where there are no streamgage records. In this study conducted by the U.S. Geological Survey in cooperation with Colorado State University, the objectives were to model streamflow metrics in the Upper Colorado River Basin and identify streams that are potentially threatened.
Chemical, physical, and biological properties of water, sediment, and tissue samples from Idaho. Water-quality data are collected as either discrete field measurements or as continuous time-series data from automated recorders that continuously record physical and chemical characteristics including pH, specific conductance, temperature, and dissolved oxygen.
This U.S. Geological Survey (USGS) Data Release provides phytoplankton data collected from Cheney Reservoir, Kansas, during June 2001 through November 2015.
Wyoming Landscape Conservation Initiative (WLCI) - Important Agricultural Lands Assessment Project (Datasets)
The data contained in this report was compiled, modified, and analyzed for the Wyoming Landscape Conservation Initiative (WLCI) Integrated Assessment (IA). These data represent an initial step towards spatially identifying lands that represent greater importance in the agricultural context and can be used by interested parties to conduct further geospatial analysis.
This U.S. Geological Survey (USGS) Data Release provides derivative statistics of water used by Kansas public-supply systems in 2014.
Data associated with Sofaer and Jarnevich 'Accounting for sampling patterns reverses the relative importance of trade and climate for the global sharing of exotic plants'
These data were analyzed for the publication 'Accounting for sampling patterns reverses the relative importance of trade and climate for the global sharing of exotic plants'
Data used to estimate and project the effects of climate and land use change on wetland densities in the Prairie Pothole Region
These data were used to estimate models relating climate and land cover to wetland densities and develop projections under climate and land use change.
The Regional Climate Change Viewer (RCCV) allows a user to visualize model output from the Dynamical Downscaling project as averages of model grid cell values over bounding polygons that we have selected.
Display past and future temperature and precipitation projections simulated by global climate models. Access maps for any country, model, or emissions scenario. Requires Flash.
The National Climate Change Viewer (NCCV) allows users to visualize projected changes in climate (maximum and minimum air temperature and precipitation) and the water balance (snow water equivalent, runoff, soil water storage and evaporative deficit) for any state, county and USGS Hydrologic Units (HUC).
The northwest United States and southwest Canada data sets consist of statistically-downscaled historical (1901-2001) CRU TS 2.1 and projected future (2001-2099) CMIP3 A2 and A1B climate data (monthly temperature, precipitation, and sunshine), derived bioclimatic variables (e.g., growing degree days), and LPJ-simulated vegetation data on a 30-second grid.
Identifying the locations and causes of grizzly bear mortality is another key component in understanding the dynamics of this population. Over 80% of all documented bear mortalities are human-caused. Tracking human-caused bear deaths helps define patterns and trends that can direct management programs designed to reduce bear mortality.