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Water quality, quantity, and gas fluxes of the Upper Mississippi River basin (WY 2012-2016) This product consists of one tabular dataset and associated metadata of water quality information related to rivers, streams, and reservoirs in the Upper Mississippi River watershed between 2012 and 2016. This data release is a part of a national assessment of freshwater aquatic carbon fluxes. Data consist of organic and inorganic carbon related species, carbon dioxide and methane gas fluxes calculated from manual chamber measurements, nitrogen species, carbon isotopes, oxygen isotopes, cations, anions, trace metals, and various in situ measurements including: pH, water temperature, air temperature, barometric pressure, dissolved oxygen, turbidity, fluorescent dissolved organic matter, and specific conductance.... Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Carbon, Fluorescent Dissolved Organic Matter (fDOM), Minnesota, Shingobee, Shingobee Headwaters Aquatic Ecosystems Project, All tags... Shingobee River Headwaters Region, Surface Water Quality, USGS Science Data Catalog (SDC), Upper Mississippi River Basin, Upper Mississippi River Basin Project, WATER QUALITY/WATER CHEMISTRY, Wisconsin, air temperature, alkalinity, aluminum, ammonium, atmospheric carbon dioxide, atmospheric methane, barium, boron, calcium, carbon dioxide (water), carbon dioxide (water), carbon dioxide flux, carbon isotopes, chloride, deuterium, dissolved oxygen, fluorescence index, greenhouse gas flux, hydrophilic organic acid, hydrophobic organic acid, hydrophobic organic neutral, inorganic carbon, magnesium, manganese, methane flux, nitrate, organic carbon, oxygen isotopes, pH (water), potassium, silicon dioxide, sodium, specific conductance, strontium, sulfate, sulfur, total dissolved nitrogen, total iron, transphilic organic acid, turbidity, ultraviolet-visible absorbance, water quality, water temperature, Fewer tags National Hydrologic Model Alaska Domain parameter database, version 1 This data release contains input data for hydrologic simulations of the Alaska Domain application of the U.S. Geological Survey (USGS) Precipitation Runoff Modelling System (PRMS) as implemented in the National Hydrologic Model (NHM) infrastructure (Regan and others, 2018). The NHM Alaska Domain parameter database consists of 114 parameter files in ASCII format (CSV), two files needed to run the Alaska Domain PRMS (control.fy19deliverable and fy19_deliv.param), two xml files (dimensions.xml and parameters.xml) containing descriptive information about the parameters, and a table that defines each parameter (AK_paramDB_datadictionary.csv). The Entity and Attribute element of this metadata record describe the data... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Alaska, Canada, Geography, Glaciology, Hydrology, All tags... Information Sciences, Land Use Change, Soil Sciences, USGS Science Data Catalog (SDC), Water Resources, climatologyMeteorologyAtmosphere, environment, imageryBaseMapsEarthCover, inlandWaters, Fewer tags Water quality and gas fluxes of Interior Alaska (2014-2018) This product consists of multiple tabular datasets and associated metadata of water quality information related to rivers, streams, and lakes in the Yukon River watershed between 2014 and 2018. This data release is apart of the National Aeronautics and Space Administration (NASA) funded Arctic-Boreal Vulnerability Experiment (ABoVE) and is an assessment of water quality and greenhouse gas fluxes within the interior of Alaska. Sampling frequency varied across locations, with some sites sampled twice a year or more. Data consist of: organic and inorganic carbon related species, carbon dioxide and methane gas fluxes calculated from manual chamber measurements, nitrogen species, carbon isotopes, oxygen and deuterium... Categories: Data; Types: Data, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Alaska, Boot Lake, CH4, CO2, CO2 Bubble Trap, All tags... Canvasback Lake, Carbon, DIC, DOC, Dalton Highway, Datasets/Database, Interior Alaska, Steese Highway, USGS Science Data Catalog (SDC), Water Quality, Water Resources, Yukon Flats, alkalinity, ammonium, anion, biogeochemical cycling, calcium, carbon dioxide, carbon flux, cation, chloride, deuterium, dissolved inorganic carbon, dissolved organic carbon, greenhouse gas flux, lake chemistry, magnesium, methane, nitrate, nitrogen, sodium, specific conductance, stream chemistry, sulfate, total dissolved nitrogen, total iron, water chemistry, water isotopes, water quality, water resources, Fewer tags GIS Features of the Geospatial Fabric for the National Hydrologic Model, version 1.1 The Geospatial Fabric version 1.1 (GFv1.1 or v1_1) is a dataset of spatial modeling units covering the conterminous United States (CONUS) and most major river basins that flow in from Canada. The GFv1.1 is an update to the original Geospatial Fabric (GFv1, Viger and Bock, 2014) for the National Hydrologic Modeling (NHM). Analogous to the GFv1, the GFv1.1 described here includes the following vector feature classes: points of interest (POIs_v1_1), a stream network (nsegment_v1_1), and hydrologic response units (nhru_v1_1), with several additional ancillary tables. These data are contained within the Environmental Systems Research Institute (ESRI) geodatabase format (GFv1.1.gdb). Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Canada, Geographic Information Systems, Hydrologic Response Units, Hydrologic modeling, Points of Interest, All tags... Routing Network, United States, geoscientificInformation, inlandWaters, Fewer tags Base flow estimation via optimal hydrograph separation at CONUS watersheds and comparison to the National Hydrologic Model - Precipitation-Runoff Modeling System by HRU calibrated version Optimal hydrograph separation (OHS) is a two-component, hydrograph separation method that uses a two-parameter, recursive digital filter (RDF) constrained via chemical mass balance to estimate the base flow contribution to a stream or river (Rimmer and Hartman, 2014; Raffensperger et al., 2017). A recursive digital filter distinguishes between high-frequency and low-frequency discharge data within a hydrograph, where high-frequency data corresponds to quick flow or storms and low-frequency data corresponds to base flow. The two parameters within the RDF are alpha and beta, both are unitless. Alpha is defined as the recession constant and typically found through recession analysis. For the purposes of this data release... Categories: Data; Types: Citation, Data, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, ScienceBase Citation; Tags: National Hydrologic Model, Precipitation Runoff Modeling System, USGS Science Data Catalog (SDC), Water Quality, Water Resources, All tags... base flow, conterminous U.S., geoscientificInformation, hydrograph separation, optimal hydrograph separation, Fewer tags