Skip to main content
Advanced Search

Filters: Categories: Data Release - Revised (X) > partyWithName: U.S. Geological Survey - ScienceBase (X)

6 results (10ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
The U.S. Geological Survey (USGS) has developed the PRObability of Streamflow PERmanence (PROSPER) model, a GIS raster-based empirical model that provides streamflow permanence probabilities (probabilistic predictions) of a stream channel having year-round flow for any unregulated and minimally-impaired stream channel in the Pacific Northwest region, U.S. The model provides annual predictions for 2004-2016 at a 30-m spatial resolution based on monthly or annually updated values of climatic conditions and static physiographic variables associated with the upstream basin (Raw streamflow permanence probability rasters). Predictions correspond to pixels on the channel network consistent with the medium resolution National...
thumbnail
This document provides a summary of surface water-quality, streamflow, and groundwater data collected by the U.S. Geological Survey (USGS) within the Central Pine Barrens (CPB) Region of Suffolk County, New York. The data were collected in cooperation with the Central Pine Barrens Commission and the Town of Brookhaven under a five-year comprehensive water resources monitoring program. The surface water-quality data within the CPB for the 2018 water year (October 1, 2017 to September 30, 2018) includes data from the Carmans River and the Peconic River. The streams were sampled several times throughout the year at seven pre-determined locations. The Carmans River was sampled at five locations: 1) CARMANS RIVER AT...
thumbnail
These data were compiled to represent the distribution of environmental conditions with recognized importance to perennial grasses in dryland areas of the western U.S. Objective(s) of our study were to … evaluate how those environmental drivers are related to perennial grass distributions and use the results to assess how perennial grass distributions may shift in response to future climate change. These data represent ecological niche models for 11 perennial grass species that are important components of grasslands on the Colorado Plateau. Data are provided as rasters (tif format) with each containing data about future change in climatic suitability for a give species, future time period, representative concentration...
A dataset of well information and geospatial data was developed for 426 U.S. Geological Survey (USGS) observation wells in Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont. An extensive list of attributes is included about each well, its location, and water-level history to provide the public and water-resources community with comprehensive information on the USGS well network in New England and data available from these sites. These data may be useful for evaluating groundwater conditions and variability across the region. The well list and site attributes, which were extracted from USGS National Water Information System (NWIS), represent all of the active wells in the New England network...
thumbnail
Water supply lakes are the primary source of water for many communities in northern and western Missouri. Therefore, accurate and up-to-date estimates of lake capacity are important for managing and predicting adequate water supply. Many of the water supply lakes in Missouri were previously surveyed by the U.S. Geological Survey in the early 2000s (Richards, 2013) and in 2013 (Huizinga, 2014); however, years of potential sedimentation may have resulted in reduced water storage capacity. Periodic bathymetric surveys are useful to update the area/capacity table and to determine changes in the bathymetric surface. From July 2019 to June 2020, the U.S. Geological Survey, in cooperation with the Missouri Department...
Categories: Data Release - Revised; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Bathymetry, Bathymetry and Elevation, Bethany, Caldwell County, Daviess County, All tags...
thumbnail
Water supply lakes are the primary source of water for many communities in northern and western Missouri. Therefore, accurate and up-to-date estimates of lake capacity are important for managing and predicting adequate water supply. Many of the water supply lakes in Missouri were previously surveyed by the U.S. Geological Survey (USGS) in the early 2000s (Richards, 2013) and in 2013 (Huizinga, 2014); however, years of potential sedimentation may have resulted in reduced water storage capacity. Periodic bathymetric surveys are useful to update the area/capacity table and to determine changes in the bathymetric surface. In April and May 2022, the USGS, in cooperation with the Missouri Department of Natural Resources...


    map background search result map search result map Probability of Streamflow Permanence (PROSPER) Model Output Layers Geospatial Dataset of Wells and Attributes in the New England Groundwater Level Network, 2017 (ver. 1.1, December 2019) 2018 Hydrologic Data Summary for the Central Pine Barrens Region, Suffolk County, New York (ver. 2.0, February 2024) Bathymetric and supporting data for various water supply lakes in northwestern Missouri, 2019 and 2020 (ver. 1.1, September 2021) Bioclimatic suitability for 11 dominant Colorado Plateau perennial grass species (ver. 2.0, November 2022) Bathymetric and Supporting Data for Selected Water Supply Lakes in Missouri, 2022 (ver. 1.1, July 2024) 2018 Hydrologic Data Summary for the Central Pine Barrens Region, Suffolk County, New York (ver. 2.0, February 2024) Bathymetric and supporting data for various water supply lakes in northwestern Missouri, 2019 and 2020 (ver. 1.1, September 2021) Bathymetric and Supporting Data for Selected Water Supply Lakes in Missouri, 2022 (ver. 1.1, July 2024) Geospatial Dataset of Wells and Attributes in the New England Groundwater Level Network, 2017 (ver. 1.1, December 2019) Probability of Streamflow Permanence (PROSPER) Model Output Layers Bioclimatic suitability for 11 dominant Colorado Plateau perennial grass species (ver. 2.0, November 2022)