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Location Folder Show Tree ROOT _ScienceBase Catalog 3DSC Alaska Science Center (ASC) Alkalic Igneous Centers of the Great Plains and Rocky Mountains: Data in Support of Critical Mineral Resource Studies AMMonitor: Remote wildlife monitoring for adaptive management Amphibian Research and Monitoring Initiative More... Filters Date Range Past year (3) Past month (1) Past week (1) Past day (0) Custom range... To   Search Types Citation (4) Map Service (4) OGC WMS Layer (4) OGC WMS Service (4) Contacts William H Asquith Timothy J Stagnitta Brian V Twining Idaho Water Science Center Coury I Dorn More... Categories Publication (4) Data (3) Tag Types Theme (4) Place (4) USGS Scientific Topic Keyword (3) Harvest Set (4) CMS Non-theme Topics (1) CMS Themes (1) CMS Topics (1) Tag Schemes None (2) USGS Thesaurus (1) ISO 19115 Topic Category (2) Common geographic areas (1) https://www.sciencebase.gov/vocab/category/WRET/CMS_L3_Topics/NYWSC_CMS_L3_Topics (1) https://www.sciencebase.gov/vocab/category/WRET/CMS_Themes/NYWSC_CMS_Themes (1) https://www.sciencebase.gov/vocab/category/WRET/CMS_Topics/NYWSC_CMS_Topics (1) View Results as: JSON ATOM CSV Browse Folder

Modeled daily salinity derived from multiple machine learning methodologies for 91 salinity monitoring sites in the northern Gulf of Mexico, 1980–2021 This data release consists of statistical predictions of daily salinity time series generated from the makESTUSAL software repository described by Asquith and others (2023b). The statistical methods included multiple methods of machine learning, which produced the daily salinity prediction and attendant credible uncertainties included in the data release. The geographic scope includes the predictions for 91 locations within bays and estuaries of the Gulf of Mexico, United States. The 91 locations are organized across 15 salinity groups and represented in the organizational structure of this data release. The input data files of imputed salinity (observations, response variable) and covariates (predictor variables)... Categories: Publication; Types: Citation, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Estuary, Gulf of Mexico, Gulf of Mexico, Modeling, Salinity, All tags... USGS Science Data Catalog (SDC), Water Resources, Fewer tags Low-Flow Statistics for New York State, Excluding Long Island, Computed Through March 2022 This USGS data release contains 7Q10 and 30Q10 [lowest annual 7-day and 30-day average streamflow that occurs (on average) once every 10 years] statistics at 292 USGS streamgages in or adjacent to New York State excluding Long Island. all_sites_wstats.csv - includes 7Q10 and 30Q10 values for all sites and includes information on results from the trend analysis and which sites have daily exceedance probability values available. site_regulated_7day_exc_perc#.csv and site_regulated_30day_exc_perc#.csv files include daily exceedance probability values for all altered sites that were not suitable for calculating low flow statistics. R scripts used to compile and screen streamgage datasets of daily flow, perform... Categories: Data, Publication; Types: Citation, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Low Flow or Peak Flow, New York, USGS Science Data Catalog (SDC), Water, Water Use and Availability Science, All tags... inlandWaters, low flow, mathematical modeling, streamflow, water resources, Fewer tags Drilling, construction, geophysical, water quality, and aquifer test data for well SEP 16, Butte County, Idaho In 2021 and 2022, the U.S. Geological Survey (USGS), in cooperation with the Idaho Department of Water Resources (IDWR), drilled and constructed well SEP 16 (431900112593601) approximately 6 miles south-southeast of Big Southern Butte in Butte County, Idaho. The purpose of the well installation was to collect geologic, geophysical, and hydrologic data. On July 13, 2022, the USGS Idaho National Laboratory Project Office (INLPO) collected select geophysical logs within the cased well including natural gamma, neutron, neutron porosity, and gamma-gamma dual density logs. Gyroscopic deviation data were also collected during geophysical surveying to account for the horizontal and vertical displacement of the well. On... Categories: Data, Publication; Types: Citation, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 431900112593601, Butte County, Drilling/completion report, East Idaho, Geophysics, All tags... Hydrology, Idaho, SEP 16, Stratigraphy, USGS Science Data Catalog (SDC), Water Resources, borehole, chemical analysis, driller report, gamma-gamma, geochemistry, geophysical logging, geophysics, groundwater, hydrogeology, hydrology, las, lithology, natural gamma, neutron, neutron porosity, pumping test / aquifer test, radiochemical analysis, water chemistry, water properties, water quality, water sampling, well deviation, well diagram, Fewer tags Species of Greatest Conservation Need in the North Central Region This file provides a table of all the of Species of Greatest Conservation Need listed in the North Central states' (MT, WY, CO, ND, SD, NE, and KS) State Wildlife Action Plans as of summer 2020. Species are organized by the number of states which listed them as Species of Greatest Conservation Need, and then by scientific name. Federal status is also provided for each species. This table is adapted from an unpublished species list compiled by the North Central Climate Adaptation Science Center. Categories: Data, Publication; Types: Citation, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Colorado, Grasslands, Kansas, Montana, Nebraska, All tags... North Central Region, North Central region, North Dakota, SGCN, SWAP, South Dakota, Species, USGS Science Data Catalog (SDC), Wildlife, Wildlife Biology, Wyoming, biota, Fewer tags