Filters: Tags: Catchment (X) > Categories: Data (X)

Filters Date Range Past year (10) Past month (1) Past week (0) Past day (0) Custom range... To   Search Extensions ArcGIS Service Definition (2) Shapefile (2) Types Downloadable (4) Map Service (4) ArcGIS REST Map Service (2) ArcGIS Service Definition (2) Citation (2) More... Contacts Appalachian Landscape Conservation Cooperative LCC Network Data Steward Clemson University Michael E Wieczorek U.S. Geological Survey - ScienceBase More... Tag Types Theme (9) Place (9) theme (5) LCC End User Type (5) USGS Scientific Topic Keyword (4) Harvest Set (9) ISO 19115 Topic Categories (4) More... Tag Schemes None (6) https://www.sciencebase.gov/vocab/vocabulary/54760ef9e4b0f62cb5dc41a0 (5) Geographic Names Information System (GNIS) (2) ISO 19115 Topic Categories (4) ISO 19115 Topic Category (3) https://www.sciencebase.gov/vocab/vocabulary/5307baa3e4b0dcc7bdc913a9 (4) Alberta Geographic Names (GNS) (1) More... View Results as: JSON ATOM CSV

Attributes for NHDPlus Version 2.1 Reach Catchments and Modified Routed Upstream Watersheds for the Conterminous United States: Crop Land Data Layer 2014 This tabular data set represents the percent of land cover classes from the 2014 Crop land Data Layer compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data is the "2014 Crop Land Data Layer" produced by the United States Department of Agriculture (USDA) National Agricultural Statistics Service (NASS, 2015). Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes... Categories: Data; Types: Citation; Tags: CDL, Catchment, Conterminous United States, Crop Land Data Layer, CropScape, All tags... Inlandwaters, NAWQA, NHDPlus, SPARROW, agriculture, crop cover, crop estimates, cropland, land cover, Fewer tags apalachicola_Floater.mxd Our objective was to develop a species-distribution model using habitat associations that represent probability of suitable habitat for the species historical range and the range under climate change scenarios including a hot/dry prediction (MIROC3.2) and a cool/wet prediction (ECHAM5) and 1-m and 2-m sea level rise scenarios; urban growth was also inlcuded. Future model predictions were based on extrapolated data for two time steps in the 21st century: mid (2046-2064) and late (2081-2100). Species distributions were modeled with Maxent (Maximum Entropy presence-only algorithm); climate change scenarios were based on precipitation and temperature changes as applied to stream conditions (e.g., flow) modeled with... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Florida, GIS, National Hydrography Dataset, United States of America, Watershed, All tags... catchment, species models, Fewer tags Upper Colorado River Basin SPARROW model catchments and synthetic stream network - 2017 This data collection consists of a synthetic stream network and associated catchments developed as the foundation for a Spatially Referenced Regressions on Watershed Attributes (SPARROW) dissolved-solids source and transport model for the Upper Colorado River Basin (UCRB). The SPARROW model requires a hydrologically connected representation of a stream network through which loads are transported from an upstream reach to the next reach downstream (Schwarz and others, 2006; Moore and others, 2004). Each stream reach or segment within this synthetic stream network has an associated local drainage area or catchment used to calculate catchment characteristics that may have an effect on loads being modeled. The synthetic... Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Arizona, Catchment, Colorado, Dissolved-solids model, Hydrologic network, All tags... New Mexico, SPARROW, Upper Colorado River Basin, Utah, Watershed, Wyoming, geoscientificInformation, inlandWaters, Fewer tags “ChesBay 24k – LU": Land Use/Land Cover Related Data Summaries for the Chesapeake Bay Watershed Within NHD Plus HR catchments These tabular data are summaries of land use/land cover related variables within catchments of the Chesapeake Bay watershed using the Xstrm methodology at 1:24,000 scale. Variables being counted as land use/land cover related contain all land use and land cover data including datasets that are split off or combined from those data (eg. agriculture or impervious classes only datasets). Outputs consist of tabular comma-separated values files (CSVs) for both the local catchment and network summaries linked to the National Hydrography Dataset Plus High-Resolution (NHDPlus HR) framework by NHDPlus ID. Local catchments are defined as the single catchment the data is summarized within. Network accumulation summaries were... Categories: Data; Tags: Agriculture, Aquatic Biology, Catchment, Catchments, Chesapeake, All tags... Chesapeake Bay, Chesapeake Bay Watershed, Delaware, District of Columbia, Ecology, Ecology, Forest, Geographic Information Systems, Geography, Geography, Hydrography, Hydrologic network, Hydrology, Hydrology, Impervious Surfaces, Land Use Change, Land Use Change, Land Use/ Land Cover, Lower Chesapeake Bay, Maryland, National Hydrography Dataset Plus, National Hydrography Datasets High Resolution, New York, Pennsylvania, Remote Sensing, Remote Sensing, Stream / River, USGS Science Data Catalog (SDC), United States, Upper Chesapeake Bay, Virginia, Water Resources, Water Resources, West Virginia, barren lands, cities, geospatial datasets, hydrographic datasets, hydrographic features, inlandWaters, Fewer tags “ChesBay 24k – CL": Climate Related Data Summaries for the Chesapeake Bay Watershed Within NHD Plus HR catchments These tabular data are summaries of climate related variables within catchments of the Chesapeake Bay watershed using the Xstrm methodology at 1:24,000 scale. Variables being counted as climate related include temperature and precipitation by both annual and monthly values. Outputs consist of tabular comma-separated values files (CSVs) for the local catchment and network summaries linked to the National Hydrography Dataset Plus High-Resolution (NHDPlus HR) framework by NHDPlus ID. Local catchments are defined as the single catchment the data is summarized within. Network accumulation summaries were completed for each of the local catchments and their network-connected upstream catchments. The summarized data tables... Categories: Data; Tags: Air Temperature, Catchment, Chesapeake Bay Watershed, Climate, Climatology, All tags... Geography, Geography, Hydrology, Hydrology, National Hydrography Dataset, National Hydrography Dataset Plus, National Hydrography Datasets High Resolution, Precipitation, USGS Science Data Catalog (SDC), Water Resources, Water Resources, Fewer tags Estimated Surface-Water Withdrawals for the Coastal Carolinas Focus Area Study by Soil Water Assessment Tool Model Catchment Area, Year, and Water-Use Category, 1983 - 2017 The Cape Fear and Pee Dee River Basins in North Carolina and South Carolina were chosen as a focus area study (FAS) for the U.S. Geological Survey (USGS) National Water Census (NWC) in 2016. The objective of the NWC is to place technical information and tools in the hands of stake holders so that they can make decisions on water availability. The USGS South Atlantic Water Science Center, comprised of North Carolina, South Carolina, and Georgia, conducted a 3-year study of water use and availability to provide information related to the competing societal and ecological water needs in the Southeastern Atlantic Coastal Basins of the Carolinas. One task to meet this objective was compiling water withdrawal and return... Categories: Data; Tags: Cape Fear River, Georgetown, SC, HUC4, Jacksonville, NC, NC, All tags... North Carolina, Pee Dee River, SC, SWAT, South Carolina, The Soil and Water Assessment Tool, Waccamaw River, Yadkin River, catchment, modeling, subregion, surface water, water use, water-use category, watershed, Fewer tags “ChesBay 24k – HU": Human Related Data Summaries for the Chesapeake Bay Watershed Within NHD Plus HR catchments These tabular data are summaries of human related landscape variables within catchments of the Chesapeake Bay watershed using the Xstrm methodology at 1:24,000 scale. Variables being counted as human related include agriculture, barriers, road density and road/stream crossing data. Outputs consist of tabular comma-separated values files (CSVs) for both local catchment and network summaries linked to the National Hydrography Dataset Plus High-Resolution (NHDPlus HR) framework by NHDPlus ID. Local catchments are defined as the single catchment the data is summarized within. Network accumulation summaries were completed for each of the local catchments and their network connected upstream and/or downstream catchments.... Categories: Data; Tags: Agriculture, Aquatic Biology, Catchment, Catchments, Chesapeake, All tags... Chesapeake Bay, Chesapeake Bay Watershed, Dams, Delaware, Designing Sustainable Landscapes, District of Columbia, Ecology, Ecology, Environmental Health, Environmental Health, Fish Passage, Geographic Information Systems, Geography, Geography, Hydrography, Hydrologic network, Hydrology, Hydrology, Lower Chesapeake Bay, Maryland, National Hydrography Dataset Plus, National Hydrography Datasets High Resolution, New York, Pennsylvania, Roads, Soil Sciences, Soil Sciences, Stream / River, Stream-road crossing, TIGER roads, USGS Science Data Catalog (SDC), United States, Upper Chesapeake Bay, Virginia, Water Quality, Water Quality, Water Resources, Water Resources, West Virginia, geospatial datasets, hydrographic datasets, hydrographic features, inlandWaters, transportation features, Fewer tags Crown of the Continent Watershed This shapefile represents the watersheds present within the Crown of the Continent Ecosystem (CCE) boundary.(Note: a different CCE boundary layer was used at the time of creation, so the area amounts within the CCE may not be accurate)This dataset was developed by the Crown Managers Partnership, as part of a transboundary collaborative management initiative for the Crown of the Continent Ecosystem, based on commonly identified management priorities that are relevant at the landscape scale. The CMP is collaborative group of land managers, scientists, and stakeholder in the CCE. For more information on the CMP and its collaborators, programs, and projects please visit: http://crownmanagers.org/ Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Alberta, Alberta, Alberta, Alberta, Canada, All tags... Canada, Data, EARTH SCIENCE > LAND SURFACE > LANDSCAPE, Federal resource managers, HUC, HUC, LCC Network Science Catalog, Mid-latitude, Mid-latitude, North America, North America, Northern Hemisphere, Northern Hemisphere, Regional & county planners, State agencies, Western Hemisphere, Western Hemisphere, basin, basin, catchment, catchment, completed, drainage area, drainage area, environment, geoscientificInformation, geoscientificInformation, hydrologic, hydrologic, inlandWaters, inlandWaters, watershed, watershed, Fewer tags Attributes for NHDPlus Version 2.1 Catchments and Modified Routing of Upstream Watersheds for the Conterminous United States: Riparian National Land Cover Data for 2019 Versions for the Years 2001, 2004, 2006, 2008, 2011, 2013, 2016, and 2019 This tabular data set represents the percent of land cover classes in the riparian zone from the 2019 edition of the National Land Cover databases for the years 2001, 2004, 2006, 2008, 2011, 2013, 2016 and 2019 compiled for two spatial components of the NHDPlus version 2.1 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. These databases can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data is the "National Land Cover Database (NLCD) 2019 Products (ver. 2.0, June 2021)" databases for the years 2001, 2004, 2006, 2008, 2011, 2013, 2016, and 2019 produced by the... Categories: Data; Tags: Aquatic Biology, Catchment, Conterminous United States, Ecology, Geography, All tags... Hydrology, Inlandwaters, Land Use Change, NAWQA, NHDPlus, NLCD2001, NLCD2004, NLCD2006, NLCD2008, NLCD2011, NLCD2013, NLCD2016, NLCD2019, National Land Cover Data set, SPARROW, USGS Science Data Catalog (SDC), Water Quality, Water Resources, Wildlife Biology, inlandWaters, land cover, land use, riparian area, Fewer tags NatureScape, Aquatic Modeling Aquatic Planning Units are derived from the U.S. Geological Survey (USGS) National Hydrography Dataset (NHD)+ v. 2 catchments. They contain information used throughout the NatureScape (landscape conservation design) development. The tables include summaries of information within each catchment including predictor variables. See SI. Categories: Data; Tags: Academics & scientific researchers, AppLCC, Appalachian, Complete, Conservation NGOs, All tags... Conservation Plan/Design/Framework, Data, Data.gov Appalachian Landscape Conservation Cooperative, Datasets/Database, Federal resource managers, Hunters & anglers, Interested public, LCC Network Science Catalog, LCD, Landscape Conservation Cooperative, Landscape Conservation Design, NatureScape, Policy makers & regulators, Private land owners, Regional & county planners, State agencies, Tribes, aquatic, biota, catchment, environment, inlandWaters, model, planning unit, target, Fewer tags NatureScape, Integrated Planning Units Terrestrial-based planning units of 1 kilometer (km) hexagons. There are about 600,000 units populated with conservation targets from around the Appalachian region. One of the targets included is the optimization from the Aquatics-only target scenario. The tables include summaries of information within each catchment including predictor variables. Categories: Data; Tags: Academics & scientific researchers, AppLCC, Appalachian, Complete, Conservation NGOs, All tags... Conservation Plan/Design/Framework, Data, Data.gov Appalachian Landscape Conservation Cooperative, Datasets/Database, Federal resource managers, Hunters & anglers, Interested public, LCC, LCC Network Science Catalog, LCD, Landscape Conservation Design, NatureScape, Policy makers & regulators, Private land owners, Regional & county planners, State agencies, Tribes, aquatic, biota, catchment, conservation target, environment, inlandWaters, integrated modeling, planning unit, terrestrial, Fewer tags Estimated Wastewater Returns for the Coastal Carolinas Focus Area Study by Soil Water Assessment Tool Model Catchment Area, 2000, 2005, 2010, and 2015 The Pee Dee and Cape Fear River Basins in North Carolina and South Carolina were chosen as a focus area study (FAS) for the U.S. Geological Survey (USGS) National Water Census (NWC) in 2016. The objective of the NWC is to place technical information and tools in the hands of stake holders so that they can make decisions on water availability. The USGS South Atlantic Water Science Center, comprised of North Carolina, South Carolina, and Georgia, conducted a 3-year study of water use and availability to provide information related to the competing societal and ecological water needs in the Southeastern Atlantic Coastal Basins of the Carolinas. One task to meet this objective was compiling water withdrawal and return... Categories: Data; Tags: Cape Fear River, Georgetown, SC, Jacksonville, NC, NC, North Carolina, All tags... Pee Dee River, SC, SWAT, South Carolina, The Soil and Water Assessment Tool, Waccamaw River, Yadkin River, catchment, modeling, subbasin, surface water, wastewater, wastewater return, water use, watershed, Fewer tags NatureScape, Aquatic Appalachian LCC Final Watershed Scores Aquatic connectivity was modeled across the entire Landscape Conservation Cooperative geography at the catchmentand watershed scales. To evaluate aquatic connectivity, the density of dams and road crossings was used as these areknown to disrupt connectivity within aquatic systems. Connectivity data for dams and road crossings werecreated from the StreamCat database. The density of dams and roads was multiplied, at the catchment and watershedlevels, by the relative influence of each connectivity variable in the Boosted Regression Tree (BRT) models and then the connectivity variables were averaged. A single aquatic connectivity score was then assigned to each catchment. This aquaticconnectivity score was used to modify... Categories: Data; Tags: Academics & scientific researchers, Appalachian, Conservation NGOs, Conservation Plan/Design/Framework, Data, All tags... Data.gov Appalachian Landscape Conservation Cooperative, Datasets/Database, Federal resource managers, Hunters & anglers, Interested public, LCC, LCC Network Science Catalog, LCD, Landscape Conservation Design, Policy makers & regulators, Private land owners, Regional & county planners, State agencies, Tribes, aquatic, aquatic connectivity, catchment, completed, dams, environment, inlandWaters, model, optimization, road crossing, score, watershed, Fewer tags NatureScape, Aquatic Modeling Catchment Scores Catchment Scores are selected from the Aquatic Planning Units dataset derived from the U.S. Geological Survey (USGS) National Hydrography Dataset (NHD)+ v. 2 catchments. They contain information used throughout the NatureScape (landscape conservation design) development. Categories: Data; Tags: Academics & scientific researchers, AppLCC, Appalachian, Complete, Conservation NGOs, All tags... Conservation Plan/Design/Framework, Data, Data.gov Appalachian Landscape Conservation Cooperative, Datasets/Database, Federal resource managers, Hunters & anglers, Interested public, LCD, Landscape Conservation Cooperative, Landscape Conservation Design, NatureScape, Policy makers & regulators, Private land owners, Regional & county planners, State agencies, Tribes, aquatic, biota, catchment, environment, inlandWaters, model, planning unit, target, Fewer tags ChipolaSlabshell.mxd Our objective was to develop a species-distribution model using habitat associations that represent probability of suitable habitat for the species historical range and the range under climate change scenarios including a hot/dry prediction (MIROC3.2) and a cool/wet prediction (ECHAM5) and 1-m and 2-m sea level rise scenarios; urban growth was also inlcuded. Future model predictions were based on extrapolated data for two time steps in the 21st century: mid (2046-2064) and late (2081-2100). Species distributions were modeled with Maxent (Maximum Entropy presence-only algorithm); climate change scenarios were based on precipitaion and temperature changes as applied to stream condtions (e.g., flow) modeled with ArcSWAT... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Florida, GIS, National Hydrography Dataset, United States of America, Watershed, All tags... catchment, species models, Fewer tags