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This USGS data release is intended to provide a baselayer of information on likely stream crossings throughout the United States. The geopackage provides likely crossings of infrastructure and streams and provides observed information that helps validate modeled crossings and build knowledge about associated conditions through time (e.g. crossing type, crossing condition). Stream crossings were developed by intersecting the 2020 United States Census Bureau Topologically Integrated Geographic Encoding and Referencing (TIGER) U.S. road lines with the National Hydrography Dataset High Resolution flowlines. The current version of this data release specifically focuses on road stream crossings (i.e. TIGER2020 Roads)...
Note: this data release has been superseded by version 2.0, available here: https://doi.org/10.5066/P9YKWWSZ This dataset contains discrete groundwater elevation measurements for wells in the Cottonwood Lake Study Area, Stutsman County, North Dakota.
Categories: Data;
Tags: Climatic change,
Cottonwood Lake Study Area,
Effects of climate change,
Ground water,
Groundwater level,
This dataset contains a bare earth digital elevation model (DEM), with a 0.5-square-meter (m2) cell size, of the Cottonwood Lake Study Area, Stutsman County, North Dakota. The DEM was based primarily on airborne lidar data acquired by Fugro Horizons of Rapid City, South Dakota, and made into a DEM by USGS personnel using the ArcGIS extension LP360 (QCoherent Software, 2013). Additional DEM processing to incorporate the bathymetry of study wetlands was done using survey-grade global positioning system (GPS) data collected by soundings of the bottom of each wetland. Through these steps, a continuous elevation model representing both the surrounding uplands and wetland basins was produced for the site (Mushet and Scherff...
This dataset contains macroinvertebrate sampling data (weights) for wetlands in the Cottonwood Lake Study Area, Stutsman County, North Dakota.
Categories: Data;
Tags: Aquatic Biology,
Biota,
Community composition,
Cottonwood Lake Study Area,
Ecology,
A study was conducted to assess the vertical accretion of sediment in the Mud Lake impoundment of Sand Lake National Wildlife Refuge, located in Brown County, South Dakota. Sediment cores were collected from the Mud Lake impoundment during 2000 for determination of vertical accretion rates, which were estimated using cesium-137 and lead-210 isotopic dating techniques. These data directly support the associated publication “Sedimentation Rates in the Marshes of Sand Lake National Wildlife Refuge, South Dakota” which is referenced within the Metadata.
Data on diurnal variation in wetland methane flux were collected to 1) improve understanding of short-term, mechanistic drivers of methane flux, and 2) inform sampling protocols to achieve research objectives. An automated gas flux sampling system was used to measure methane flux every 2.5–4 hours for over 230 diel cycles over the course of three growing seasons (2013–2015). Data were collected from a seasonal, depressional wetland located in the Prairie Pothole Region of central North America. These data directly support the associated publication “Diurnal patterns of methane flux from a depressional, seasonal wetland: mechanisms and methodology” which is referenced within the Metadata.
Categories: Data;
Types: Citation;
Tags: North Dakota,
Prairie Pothole Region,
Stutsman County,
USGS Science Data Catalog (SDC),
United States of America,
This dataset contains water chemistry measurements for all wetlands in the Cottonwood Lake Study Area, Stutsman County, North Dakota.
Categories: Data;
Types: Citation;
Tags: Biochemical analysis,
Biogeochemical cylcing,
Biogeochemistry,
Chemical analysis,
Climatic change,
These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. These data are in support of report DS 456 (Arnold and others, 2009). 30 equal-area polygons generated using techniques described in Scott (1990). Polygons include areas overlying the High Plains Aquifer in Colorado having a depth to water less than 180 feet, a saturated thickness greater than 50 feet, and underlying irrigated agricultural lands. Described in Arnold and others (2009). Input saturated thickness and depth to water...
These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. These data are in support of report DS 456 (Arnold and others, 2009). This grid represents the depth to groundwater in the High Plains Aquifer in Colorado in 2000. The depth-to-water grid was generated for the entire High Plains Aquifer from depth-to-water measurements collected in 2000. Shown as figure 12 in McMahon and others (2007).
A study was conducted during 2004 to examine soil carbon storage of Prairie Pothole Region wetland catchments. These data represent the soil profile descriptions performed during that study; the remaining data were published previously (https://doi.org/10.5066/F7KS6QG2). Soil profile descriptions were performed at 270 temporary, seasonal, and semipermanent wetland catchments distributed throughout the Glaciated Plains and Missouri Coteau physiographic regions of the Prairie Pothole Region. Data were collected from four to six wetland and upland zones of the catchment. Study sites included cropland, restored grassland (formerly cropland), and native prairie (no cultivation history) catchments located in Iowa, Minnesota,...
These data describe the spatio-temporal distribution of dabbling duck species across the continental United States during four biologically relevant seasons. This dataset contains two types of distribution models: (1) probability of presence, and (2) abundance. The model type, species, and season depicted in a raster are defined in the file name. File names begin with either abun (indicating that it is an abundance model) or prob (indicating a probability of occurrence model). Following model type is species, for which there are 10 provided: ABDU (American Black Duck), AMEW (American Wigeon), BWTE (Blue-winged Teal), CITE (Cinnamon Teal), GADW (Gadwall), AGWT (Green-winged Teal), MALL (Mallard), MODU (Mottled...
Categories: Data;
Tags: Ecology,
Environmental Health,
Population Dynamics,
Species Distribution,
USGS Science Data Catalog (SDC),
Note: this data release has been superseded by version 2.0, available here: https://doi.org/10.5066/P94LIJU5 This dataset contains the number of breeding pairs of bird species surveyed in all Cottonwood Lake Study Area wetlands.
This dataset contains macroinvertebrate sampling data for the wetlands in the Cottonwood Lake Study Area, Stutsman County, North Dakota.
Categories: Data;
Tags: Aquatic Biology,
Biota,
Community composition,
Cottonwood Lake Study Area,
Ecology,
This dataset contains the number of breeding pairs of bird species surveyed in all Cottonwood Lake Study Area wetlands.
This dataset contains macroinvertebrate sampling data (weights) for wetlands in the Cottonwood Lake Study Area, Stutsman County, North Dakota.
Categories: Data;
Tags: Aquatic Biology,
Biota,
Community composition,
Cottonwood Lake Study Area,
Ecology,
This dataset contains discrete groundwater elevation measurements for wells in the Cottonwood Lake Study Area, Stutsman County, North Dakota.
Categories: Data;
Tags: Climatic change,
Cottonwood Lake Study Area,
Ecology,
Effects of climate change,
Ground water,
These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. These data are in support of report DS 456 (Arnold and others, 2009). This dataset includes 90 potential groundwater sampling sites randomly generated using techniques described in Scott (1990), composed of 30 locations with a first, second, and third choice of sampling location. Sites are in 30 equal area polygons that divide areas in the High Plains Aquifer in Colorado with a depth to water less than 180 feet, a saturated thickness...
This data release presents data that were collected as part of a larger effort to assess factors that regulate metabolism in global lakes, via an international collaboration with the Global Lake Ecological Observatory Network (GLEON). From May to August 2019, dissolved oxygen and light penetration were measured throughout the water-depth profile of two small inland wetlands at Cottonwood Lake Study Area in North Dakota, USA. Water temperature and wind data also were collected, and recent water column chemistry (carbon, phosphorus, nitrogen) data from the summer of 2016 were compiled. Data from this collaborative study will be used to calculate gross primary production, and investigate how lake metabolism varies...
Categories: Data;
Tags: Cottonwood Lake Study Area,
InlandWaters,
North Dakota,
Northern Great Plains,
Prairie Pothole Region,
This data release presents data that were collected as part of a larger effort to assess factors that regulate ecosystem metabolism in small ponds. This work was part of an international collaborative effort with the Global Lake Ecological Observatory Network (GLEON). From May to October 2019, dissolved oxygen, temperature, and light were measured throughout the water-depth profile of two natural wetlands and four artificial ponds located near Jamestown, North Dakota. Meteorological and bathymetric data also were collected. The natural wetlands are representative of semipermanent wetlands of the Prairie Pothole Region of North America. The artificial ponds, while smaller than the natural ponds, were managed to represent...
This dataset contains water chemistry measurements for groundwater wells in the Cottonwood Lake Study Area, Stutsman County, North Dakota.
Categories: Data;
Types: Citation;
Tags: Biochemical analysis,
Biogeochemical cylcing,
Biogeochemistry,
Chemical analysis,
Climatic change,
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