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Filters Date Range Past year (2) Past month (1) Past week (0) Past day (0) Custom range... To   Search Extensions Shapefile (6) Types Map Service (7) OGC WFS Layer (7) OGC WMS Layer (7) Downloadable (6) Shapefile (6) OGC WMS Service (1) Contacts U.S. Geological Survey - ScienceBase Farshid Rahmani Farshid (Contractor) Felfelani U.S. Geological Survey Alison P Appling More... Categories pre-SM502.8 (4) Tag Types Place (16) Theme (16) place (1) LCC End User Type (1) theme (1) Harvest Set (7) USGS Scientific Topic Keyword (1) More... Tag Schemes U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST (11) none (13) USGS Oil and Gas Assessment Units (NOGA-2000) (4) Central Energy Resources Team Keyword Thesaurus (4) Augmented FIPS 10-4 and FIPS 6-4, version 1.0 (4) ISO 19115 Topic Category (13) USGS Biocomplexity Thesaurus (2) More... View Results as: JSON ATOM CSV

Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 3 Model inputs This data release component contains model inputs including river basin attributes, weather forcing data, and simulated and observed river discharge. Categories: Data; Tags: AL, Alabama, DE, Delaware, GA, All tags... Georgia, IA, ID, Idaho, Iowa, KS, Kansas, MA, MD, ME, MI, MS, Maine, Maryland, Massachusetts, Michigan, Mississippi, NC, NJ, NM, NV, NY, Nevada, New Jersey, New Mexico, New York, North Carolina, OH, OK, OR, Ohio, Oklahoma, Oregon, PA, Pennsylvania, RI, Rhode Island, SC, South Carolina, TN, TX, Tennessee, Texas, US, UT, United States, Utah, VA, Virginia, WA, WI, WV, WY, Washington, West Virginia, Wisconsin, Wyoming, deep learning, environment, inlandWaters, machine learning, modeling, streams, water resources, water temperature, Fewer tags Daily surface temperature predictions for 185,549 U.S. lakes with associated observations and meteorological conditions (1980-2020) Daily lake surface temperatures estimates for 185,549 lakes across the contiguous United States from 1980 to 2020 generated using an entity-aware long short-term memory deep learning model. In-situ measurements used for model training and evaluation are from 12,227 lakes and are included as well as daily meteorological conditions and lake properties. Median per-lake estimated error found through cross validation on lakes with in-situ surface temperature observations was 1.24 °C. The generated dataset will be beneficial for a wide range of applications including estimations of thermal habitats and the impacts of climate change on inland lakes. Categories: Data; Tags: AL, AR, AZ, Alabama, Aquatic Biology, All tags... Arizona, Arkansas, CA, CO, CT, California, Colorado, Connecticut, DC, DE, Delaware, District of Columbia, Ecology, FL, Florida, GA, Georgia, Hydrology, IA, ID, IL, IN, Idaho, Illinois, Indiana, Iowa, KS, KY, Kansas, Kentucky, LA, Limnology, Louisiana, MA, MD, ME, MI, MN, MO, MS, MT, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, NC, ND, NE, NH, NJ, NM, NV, NY, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, OH, OK, OR, Ohio, Oklahoma, Oregon, PA, Pennsylvania, RI, Rhode Island, SC, SD, South Carolina, South Dakota, TN, TX, Tennessee, Texas, US, USGS Science Data Catalog (SDC), UT, United States, Utah, VA, VT, Vermont, Virginia, WA, WI, WV, WY, Washington, Water Quality, Water Resources, West Virginia, Wisconsin, Wyoming, climate change, deep learning, environment, inlandWaters, machine learning, modeling, reservoirs, surface temperature, temperate lakes, temperature, water, water resources, Fewer tags National Assessment of Oil and Gas Project - Appalachian Basin Province (067) Boundary The USGS Central Region Energy Team assesses oil and gas resources of the United States. The onshore and State water areas of the United States comprise 71 provinces. Within these provinces, Total Petroleum Systems are defined and Assessment Units are defined and assessed. Each of these provinces is defined geologically, and most province boundaries are defined by major geologic changes. The Appalachian Basin Province is located in the eastern United States, encompassing all or parts of the counties in Alabama, Georgia, Kentucky, Maryland, New Jersey, New York, North Carolina, Ohio, Pennsylvania, Tennessee, Virginia, and West Virginia. The main population centers within the study area are Birmingham, Alabama; Buffalo,... Categories: Data, pre-SM502.8; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: 506701 = Conasauga-Rome/Conasauga, 50670101 = Rome Trough, 506702 = Sevier-Knox Trenton, 50670201 = Lower Paleozoic Carbonates, 506703 = Utica-Lower Paleozoic, All tags... 50670301 = Lower Paleozoic Carbonates in Thrust Belt, 50670302 = Knox Unconformity, 50670303 = Black River-Trenton Hydrothermal Dolomite, 50670304 = Lockport Dolomite, 50670361 = Clinton-Medina Basin Center, 50670362 = Clinton-Medina Transitional Northeast, 50670363 = Clinton-Medina Transitional, 50670364 = Tuscarora Basin Center, 506704 = Devonian Shale-Middle and Upper Paleozoic, 50670401 = Oriskany Sandstone-Structural, 50670402 = Oriskany Sandstone-Stratigraphic, 50670403 = Greenbrier Limestone, 50670404 = Mississippian Sandstones, 50670461 = Greater Big Sandy, 50670462 = Northwestern Ohio Shale, 50670463 = Devonian Siltstone and Shale, 50670464 = Marcellus Shale, 50670465 = Catskill Sandstones and Siltstone, 50670466 = Berea Sandstone, 506705 = Carboniferous Coal-Bed Gas, 50670581 = Pocahontas Basin, 50670582 = East Dunkard (Folded), 50670583 = West Dunkard (Unfolded), 50670584 = Central Appalachian Shelf, 50670585 = Appalachain Anthracite and Semi-Anthracite, 506706 = Pottsville Coal-Bed Gas, 50670681 = Cahaba Basin, 67 = Appalachian Basin, AL, Appalachian Basin, Coalbed methane resources, Earth Science, Economic geology, Energy Resources, GA, Gas hydrate resources, Geology, KY, MD, Milici, Robert C., NC, NJ, NY, National Assessment of Oil and Gas, Natural Gas, Natural Resources, Natural gas resources, OH, Oil, Oil sand resources, Oil shale resources, PA, Petroleum, Province, Resource Assessment, Sedimentary Basin, TN, U.S. Geological Survey, US01 = Alabama, US13 = Georgia, US21 = Kentucky, US24 = Maryland, US34 = New Jersey, US36 = New York, US37 = North Carolina, US39 = Ohio, US42 = Pennsylvania, US47 = Tennessee, US51 = Virginia, US54 = West Virginia, USGS, USGS Science Data Catalog (SDC), USGS World Energy Region 5, USGS World Energy Region 5, United States, VA, WV, geoscientificInformation, noga2000, nogaappalachian, oilgas, Fewer tags National Assessment of Oil and Gas Project - Appalachian Basin (067) Quarter-Mile Cells Cell maps for each oil and gas assessment unit were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in an assessment unit or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, dry, or the type of production of the wells located within the cell is unknown. The well information was initially retrieved from the IHS Energy Group, PI/Dwights PLUS Well Data on CD-ROM, which is a proprietary, commercial database containing information for most oil and gas wells in the... Categories: Data, pre-SM502.8; Tags: 506701 = Conasauga-Rome/Conasauga, 50670101 = Rome Trough, 506702 = Sevier-Knox Trenton, 50670201 = Lower Paleozoic Carbonates, 506703 = Utica-Lower Paleozoic, All tags... 50670301 = Lower Paleozoic Carbonates in Thrust Belt, 50670302 = Knox Unconformity, 50670303 = Black River-Trenton Hydrothermal Dolomite, 50670304 = Lockport Dolomite, 50670361 = Clinton-Medina Basin Center, 50670362 = Clinton-Medina Transitional Northeast, 50670363 = Clinton-Medina Transitional, 50670364 = Tuscarora Basin Center, 506704 = Devonian Shale-Middle and Upper Paleozoic, 50670401 = Oriskany Sandstone-Structural, 50670402 = Oriskany Sandstone-Stratigraphic, 50670403 = Greenbrier Limestone, 50670404 = Mississippian Sandstones, 50670461 = Greater Big Sandy, 50670462 = Northwestern Ohio Shale, 50670463 = Devonian Siltstone and Shale, 50670464 = Marcellus Shale, 50670465 = Catskill Sandstones and Siltstone, 50670466 = Berea Sandstone, 506705 = Carboniferous Coal-Bed Gas, 50670581 = Pocahontas Basin, 50670582 = East Dunkard (Folded), 50670583 = West Dunkard (Unfolded), 50670584 = Central Appalachian Shelf, 50670585 = Appalachain Anthracite and Semi-Anthracite, 506706 = Pottsville Coal-Bed Gas, 50670681 = Cahaba Basin, 67 = Appalachian Basin, AL, Appalachian Basin, Assessment Unit, Cells, Coalbed methane resources, Earth Science, Economic geology, Energy Resources, GA, Gas hydrate resources, Geology, KY, MD, Milici, Robert C., NC, NJ, NY, National Assessment of Oil and Gas, Natural Gas, Natural Resources, Natural gas resources, OH, Oil, Oil sand resources, Oil shale resources, PA, Resource Assessment, TN, U.S. Geological Survey, US01 = Alabama, US13 = Georgia, US21 = Kentucky, US24 = Maryland, US34 = New Jersey, US36 = New York, US37 = North Carolina, US39 = Ohio, US42 = Pennsylvania, US47 = Tennessee, US51 = Virginia, US54 = West Virginia, USGS, USGS Science Data Catalog (SDC), USGS World Energy Region 5, USGS World Energy Region 5, United States, VA, WV, geoscientificInformation, Fewer tags Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 5 Model predictions This data release component contains water temperature predictions in 118 river catchments across the U.S. Predictions are from the four models described by Rahmani et al. (2020): locally-fitted linear regression, LSTM-noQ, LSTM-obsQ, and LSTM-simQ. Categories: Data; Tags: AL, Alabama, DE, Delaware, GA, All tags... Georgia, IA, ID, Idaho, Iowa, KS, Kansas, MA, MD, ME, MI, MS, Maine, Maryland, Massachusetts, Michigan, Mississippi, NC, NJ, NM, NV, NY, Nevada, New Jersey, New Mexico, New York, North Carolina, OH, OK, OR, Ohio, Oklahoma, Oregon, PA, Pennsylvania, RI, Rhode Island, SC, South Carolina, TN, TX, Tennessee, Texas, US, UT, United States, Utah, VA, Virginia, WA, WI, WV, WY, Washington, West Virginia, Wisconsin, Wyoming, deep learning, environment, inlandWaters, machine learning, modeling, streams, water resources, water temperature, Fewer tags 2 Observations: Deep learning approaches for improving prediction of daily stream temperature in data-scarce, unmonitored, and dammed basins This data release component contains mean daily stream water temperature observations, retrieved from the USGS National Water Information System (NWIS) and used to train and validate all temperature models. The model training period was from 2010-10-01 to 2014-09-30, and the test period was from 2014-10-01 to 2016-09-30. Categories: Data; Tags: AL, AR, AZ, Alabama, Arizona, All tags... Arkansas, CA, CO, CT, California, Colorado, Connecticut, DC, DE, Delaware, District of Columbia, GA, Georgia, IA, ID, IL, IN, Idaho, Illinois, Indiana, Iowa, KS, KY, Kansas, Kentucky, MA, MD, ME, MI, MN, MO, MS, MT, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, NC, ND, NE, NH, NJ, NM, NV, NY, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, OH, OK, OR, Ohio, Oklahoma, Oregon, PA, Pennsylvania, RI, Rhode Island, SC, SD, South Carolina, South Dakota, TN, TX, Tennessee, Texas, US, UT, United States, Utah, VA, Virginia, WA, WI, WV, WY, Washington, West Virginia, Wisconsin, Wyoming, deep learning, environment, inlandWaters, machine learning, modeling, streams, water resources, water temperature, Fewer tags Metabolism estimates for 356 U.S. rivers (2007-2017): 2a. Site coordinates This dataset provides site locations as shapefile points. The format is a shapefile for all sites combined (.shp, .shx, .dbf, and .prj files). This dataset is part of a larger data release of metabolism model inputs and outputs for 356 streams and rivers across the United States (https://doi.org/10.5066/F70864KX). The complete release includes: modeled estimates of gross primary productivity, ecosystem respiration, and the gas exchange coefficient; model input data and alternative input data; model fit and diagnostic information; site catchment boundaries and site point locations; and potential predictors of metabolism such as discharge and light availability. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: 007, 012, AK, AL, AR, All tags... Aerobic respiration, Alabama, Alaska, Arkansas, CA, CO, CT, California, Carbon, Carbon dioxide, Colorado, Connecticut, DC, DE, Delaware, Dissolved oxygen, District of Columbia, Energy metabolism, FL, Florida, GA, Gas exchange, Georgia, IA, ID, IL, IN, Idaho, Illinois, Indiana, Iowa, KS, KY, Kansas, Kentucky, LA, Louisiana, MA, MD, ME, MI, MN, MO, MS, MT, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, NC, ND, NE, NJ, NM, NY, Nebraska, New Jersey, New Mexico, New York, North Carolina, North Dakota, OH, OK, OR, Ohio, Oklahoma, Oregon, Oxygen, PA, PR, Pennsylvania, Photosynthesis, Primary production, Puerto Rico, Rivers, SC, SD, South Carolina, South Dakota, Streams, TN, TX, Tennessee, Texas, US, UT, United States, Utah, VA, Virginia, WA, WI, WV, WY, Washington, Water courses, West Virginia, Wisconsin, Wyoming, environment, inlandWaters, Fewer tags CAST Data Input Disaggregation from County and Land-River Segment Scale to National Hydrography Dataset Plus, Version 1.1 The detrimental effects of excess nutrients and sediment entering the Chesapeake Bay estuary from its watersheds have necessitated regulatory actions. Federally-mandated reductions are apportioned to bay jurisdictions based on the U.S. Environmental Protection Agency's Chesapeake Bay Time-Variable Watershed Model (CBPM). The Chesapeake Assessment Scenario Tool (CAST version CAST-19; cast.chesapeakebay.net; Chesapeake Bay Program, 2020) is a simplified, on-line version of the Phase 6 CBPM that simulates watershed nutrients delivery to the estuary using the original model's annual land-surface nutrient source and removal inputs and time-averaged climatological forecasting. Because it runs much faster than the CBPM,... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Atmospheric Deposition, Biosolids, Chesapeake, Chesapeake Assessment and Scenario Tool (CAST), Chesapeake Bay, All tags... Combined Sewer Overflow, DC, DE, Fertilizer, Land Use Change, MD, Manure, NY, National Hydrography Dataset (NHD), Nitrogen Fixation and Crop Nutrient Uptake, Nutrient Inputs, PA, USGS Science Data Catalog (SDC), VA, WV, Wastewater, Septic Systems, and Rapid Infiltration Basins, Water Quality, environment, nutrient cycling, Fewer tags Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 6 Model evaluation This data release component contains evaluation metrics used to assess the predictive performance of each stream temperature model. For further description, see the metric calculations in the supplement of Rahmani et al. (2020), equations S1-S7. Categories: Data; Tags: AL, Alabama, DE, Delaware, GA, All tags... Georgia, IA, ID, Idaho, Iowa, KS, Kansas, MA, MD, ME, MI, MS, Maine, Maryland, Massachusetts, Michigan, Mississippi, NC, NJ, NM, NV, NY, Nevada, New Jersey, New Mexico, New York, North Carolina, OH, OK, OR, Ohio, Oklahoma, Oregon, PA, Pennsylvania, RI, Rhode Island, SC, South Carolina, TN, TX, Tennessee, Texas, US, UT, United States, Utah, VA, Virginia, WA, WI, WV, WY, Washington, West Virginia, Wisconsin, Wyoming, deep learning, environment, inlandWaters, machine learning, modeling, streams, water resources, water temperature, Fewer tags Appalachian National Scenic Trail Centerline_applcc-shp-006 This data set represents the most current depiction of the Appalachian National Scenic Trail centerline.Locational information used to create this data set were obtained from Global Positioning Systems (GPS) survey data collected between 1999-2010 using mostly Trimble GPS equipment. Categories: Data; Tags: A.T., A.T., A.T. Centerline, A.T. GPS, A.T. National Scenic Trail, All tags... AT, AT, Academics & scientific researchers, Appalachian National Scenic Trail, Appalachian National Scenic Trail, Appalachian Trail, Appalachian Trail, Appalachian Trail Centerline, CT, Conservation NGOs, Data, Data.gov Appalachian Landscape Conservation Cooperative, Datasets/Database, Federal resource managers, GA, Hunters & anglers, Interested public, K-12 students & teachers, MA, MD, ME, ME-GA, NC, NH, NJ, NY, Ongoing, Other, PA, Policy makers & regulators, Private land owners, Regional & county planners, State agencies, TN, Tribes, VA, VT, WV, location, Fewer tags National Assessment of Oil and Gas Project - Appalachian Basin Province (067) Total Petroleum Systems The Total Petroleum System is used in the National Assessment Project and incorporates the Assessment Unit, which is the fundamental geologic unit used for the assessment of undiscovered oil and gas resources. The Total Petroleum System is shown here as a geographic boundary defined and mapped by the geologist responsible for the province and incorporates not only the set of known or postulated oil and (or) gas accumulations, but also the geologic interpretation of the essential elements and processes within the petroleum system that relate to source, generation, migration, accumulation, and trapping of the discovered and undiscovered petroleum resource(s). Categories: Data, pre-SM502.8; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: 506701 = Conasauga-Rome/Conasauga, 50670101 = Rome Trough, 506702 = Sevier-Knox Trenton, 50670201 = Lower Paleozoic Carbonates, 506703 = Utica-Lower Paleozoic, All tags... 50670301 = Lower Paleozoic Carbonates in Thrust Belt, 50670302 = Knox Unconformity, 50670303 = Black River-Trenton Hydrothermal Dolomite, 50670304 = Lockport Dolomite, 50670361 = Clinton-Medina Basin Center, 50670362 = Clinton-Medina Transitional Northeast, 50670363 = Clinton-Medina Transitional, 50670364 = Tuscarora Basin Center, 506704 = Devonian Shale-Middle and Upper Paleozoic, 50670401 = Oriskany Sandstone-Structural, 50670402 = Oriskany Sandstone-Stratigraphic, 50670403 = Greenbrier Limestone, 50670404 = Mississippian Sandstones, 50670461 = Greater Big Sandy, 50670462 = Northwestern Ohio Shale, 50670463 = Devonian Siltstone and Shale, 50670464 = Marcellus Shale, 50670465 = Catskill Sandstones and Siltstone, 50670466 = Berea Sandstone, 506705 = Carboniferous Coal-Bed Gas, 50670581 = Pocahontas Basin, 50670582 = East Dunkard (Folded), 50670583 = West Dunkard (Unfolded), 50670584 = Central Appalachian Shelf, 50670585 = Appalachain Anthracite and Semi-Anthracite, 506706 = Pottsville Coal-Bed Gas, 50670681 = Cahaba Basin, 67 = Appalachian Basin, AL, Appalachian Basin, Coalbed methane resources, Earth Science, Economic geology, Energy Resources, GA, Gas hydrate resources, Geology, KY, MD, Milici, Robert C., NC, NJ, NY, National Assessment of Oil and Gas, Natural Gas, Natural Resources, Natural gas resources, OH, Oil, Oil sand resources, Oil shale resources, PA, Resource Assessment, TN, Total Petroleum System, U.S. Geological Survey, US01 = Alabama, US13 = Georgia, US21 = Kentucky, US24 = Maryland, US34 = New Jersey, US36 = New York, US37 = North Carolina, US39 = Ohio, US42 = Pennsylvania, US47 = Tennessee, US51 = Virginia, US54 = West Virginia, USGS, USGS Science Data Catalog (SDC), USGS World Energy Region 5, USGS World Energy Region 5, United States, VA, WV, geoscientificInformation, noga2000, nogaappalachian, oilgas, Fewer tags Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 2 Observations This data release component contains mean daily stream water temperature observations, retrieved from the USGS National Water Information System (NWIS) and used to train and validate all temperature models. The model training period was from 2010-10-01 to 2014-09-30, and the test period was from 2014-10-01 to 2016-09-30. Categories: Data; Tags: AL, Alabama, DE, Delaware, GA, All tags... Georgia, IA, ID, Idaho, Iowa, KS, Kansas, MA, MD, ME, MI, MS, Maine, Maryland, Massachusetts, Michigan, Mississippi, NC, NJ, NM, NV, NY, Nevada, New Jersey, New Mexico, New York, North Carolina, OH, OK, OR, Ohio, Oklahoma, Oregon, PA, Pennsylvania, RI, Rhode Island, SC, South Carolina, TN, TX, Tennessee, Texas, US, UT, United States, Utah, VA, Virginia, WA, WI, WV, WY, Washington, West Virginia, Wisconsin, Wyoming, deep learning, environment, inlandWaters, machine learning, modeling, streams, water resources, water temperature, Fewer tags National Assessment of Oil and Gas Project Devonian Marcellus Shale of the Appalachian Basin Province (067) Assessment Units The Assessment Unit is the fundamental unit used in the National Assessment Project for the assessment of undiscovered oil and gas resources. The Assessment Unit is defined within the context of the higher-level Total Petroleum System. The Assessment Unit is shown here as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar geologic, geographic, and temporal properties within the Total Petroleum System, such as source rock, timing, migration pathways, trapping mechanism, and hydrocarbon type. The Assessment Unit boundary is defined geologically as the limits of the geologic... Categories: Data, pre-SM502.8; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: 506704 = Devonain, Shale-Middle and Upper Paleozoic, 50670467 = Foldbelt Marcellus, 50670468 = Interior Marcellus, 50670469 = Western Margin Marcellus, 67 = Appalachian Basin, All tags... AL, Appalachian Basin, Assessment Unit, Earth Science, Economic geology, Energy Resources, GA, Geology, Higley, D., KY, MD, NC, NJ, NY, National Assessment of Oil and Gas, Natural Gas, Natural Resources, Natural gas resources, OH, Oil, Oil sand resources, Oil shale resources, PA, Resource Assessment, TN, U.S. Geological Survey, US01 = Alabama, US13 = Georgia, US21 = Kentucky, US24 = Maryland, US34 = New Jersey, US36 = New York, US37 = North Carolina, US39 = Ohio, US42 = Pennsylvania, US47 = Tennessee, US51 = Virginia, US54 = West Virginia, USGS, USGS Science Data Catalog (SDC), USGS World Energy Region 4, USGS World Energy Region 5, United States, VA, WV, geoscientificInformation, noga2000, nogaappalachian, oilgas, Fewer tags 1 Site Information: Deep learning approaches for improving prediction of daily stream temperature in data-scarce, unmonitored, and dammed basins This data release component contains shapefiles of river basin polygons and monitoring site locations coincident with the outlets of those basins. A table of basin attributes is also supplied. Attributes, observations, and weather forcing data for these basins were used to train and test the stream temperature prediction models of Rahmani et al. (2021b).<\p> Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: AL, AR, AZ, Alabama, Arizona, All tags... Arkansas, CA, CO, CT, California, Colorado, Connecticut, DC, DE, Delaware, District of Columbia, GA, Georgia, IA, ID, IL, IN, Idaho, Illinois, Indiana, Iowa, KS, KY, Kansas, Kentucky, MA, MD, ME, MI, MN, MO, MS, MT, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, NC, ND, NE, NH, NJ, NM, NV, NY, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, OH, OK, OR, Ohio, Oklahoma, Oregon, PA, Pennsylvania, RI, Rhode Island, SC, SD, South Carolina, South Dakota, TN, TX, Tennessee, Texas, US, UT, United States, Utah, VA, Virginia, WA, WI, WV, WY, Washington, West Virginia, Wisconsin, Wyoming, deep learning, environment, inlandWaters, machine learning, modeling, streams, water resources, water temperature, Fewer tags 3 Model Forcings: Deep learning approaches for improving prediction of daily stream temperature in data-scarce, unmonitored, and dammed basins This data release component contains model inputs including river basin attributes, weather forcing data, and simulated and observed river discharge. Categories: Data; Tags: AL, AR, AZ, Alabama, Arizona, All tags... Arkansas, CA, CO, CT, California, Colorado, Connecticut, DC, DE, Delaware, District of Columbia, GA, Georgia, IA, ID, IL, IN, Idaho, Illinois, Indiana, Iowa, KS, KY, Kansas, Kentucky, MA, MD, ME, MI, MN, MO, MS, MT, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, NC, ND, NE, NH, NJ, NM, NV, NY, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, OH, OK, OR, Ohio, Oklahoma, Oregon, PA, Pennsylvania, RI, Rhode Island, SC, SD, South Carolina, South Dakota, TN, TX, Tennessee, Texas, US, UT, United States, Utah, VA, Virginia, WA, WI, WV, WY, Washington, West Virginia, Wisconsin, Wyoming, deep learning, environment, inlandWaters, machine learning, modeling, streams, water resources, water temperature, Fewer tags Metabolism estimates for 356 U.S. rivers (2007-2017): 2b. Site catchment boundaries This dataset provides shapefile outlines of the catchments contributing to sites where metabolism was or could have been estimated. The format is a shapefile for all sites combined (.shp, .shx, .dbf, and .prj files). This dataset is part of a larger data release of metabolism model inputs and outputs for 356 streams and rivers across the United States (https://doi.org/10.5066/F70864KX). The complete release includes: modeled estimates of gross primary productivity, ecosystem respiration, and the gas exchange coefficient; model input data and alternative input data; model fit and diagnostic information; site catchment boundaries and site point locations; and potential predictors of metabolism such as discharge and... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: 007, 012, AK, AL, AR, All tags... Aerobic respiration, Alabama, Alaska, Arkansas, CA, CO, CT, California, Carbon, Carbon dioxide, Colorado, Connecticut, DC, DE, Delaware, Dissolved oxygen, District Of Columbia, Energy metabolism, FL, Florida, GA, Gas exchange, Georgia, IA, ID, IL, IN, Idaho, Illinois, Indiana, Iowa, KS, KY, Kansas, Kentucky, LA, Louisiana, MA, MD, ME, MI, MN, MO, MS, MT, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, NC, ND, NE, NH, NJ, NM, NV, NY, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, OH, OK, OR, Ohio, Oklahoma, Oregon, Oxygen, PA, Pennsylvania, Photosynthesis, Primary production, Rivers, SC, SD, South Carolina, South Dakota, Streams, TN, TX, Tennessee, Texas, US, UT, United States, Utah, VA, VT, Vermont, Virginia, WA, WI, WV, WY, Washington, Water courses, West Virginia, Wisconsin, Wyoming, environment, inlandWaters, Fewer tags 5 Model Predictions: Deep learning approaches for improving prediction of daily stream temperature in data-scarce, unmonitored, and dammed basins This data release item contains water temperature predictions for 455 river sites across the U.S. Predictions are from the models described by Rahmani et al. (2021b). Categories: Data; Tags: AL, AR, AZ, Alabama, Arizona, All tags... Arkansas, CA, CO, CT, California, Colorado, Connecticut, DC, DE, Delaware, District of Columbia, GA, Georgia, IA, ID, IL, IN, Idaho, Illinois, Indiana, Iowa, KS, KY, Kansas, Kentucky, MA, MD, ME, MI, MN, MO, MS, MT, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, NC, ND, NE, NH, NJ, NM, NV, NY, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, OH, OK, OR, Ohio, Oklahoma, Oregon, PA, Pennsylvania, RI, Rhode Island, SC, SD, South Carolina, South Dakota, TN, TX, Tennessee, Texas, US, UT, United States, Utah, VA, Virginia, WA, WI, WV, WY, Washington, West Virginia, Wisconsin, Wyoming, deep learning, environment, inlandWaters, machine learning, modeling, streams, water resources, water temperature, Fewer tags