AndreaBozzo/ceres-open-data-index huggingface dataset:
Cottonwood Lake Study Area-Wetland Vegetation Zones-1980

Spatial polygons of vegetation zones in 1980 for wetlands; P1, P2, P3, P4, P7, P8, T3, T4, T5, T8, and T9 within the Cottonwood Lake Study Area, Stutsman County, North Dakota. Created from a collection of digital orthorectified images from aerial photographs of the study area acquired during 1980 using Stewart and Kantrud classification system.

Tags: aquatic-vegetation, biota, chase-lake-wetland-management-districtgtstutsman-county-waterfowl-production-areagteddy, chase-lake-wetland-management-districtgtstutsman-county-waterfowl-production-areagtshuler, cottonwood-lake-study-area, earth-sciencegtbiospheregtaquatic-ecosystemsgtwetlandsgtlacustrine-wetlands, earth-sciencegtbiospheregtaquatic-ecosystemsgtwetlandsgtpalustrine-wetlands, earth-sciencegtbiospheregtterrestrial-ecosystemsgtwetlandsgtlacustrine-wetlands, earth-sciencegtbiospheregtterrestrial-ecosystemsgtwetlandsgtpalustrine-wetlands, earth-sciencegtbiospheregtvegetationgtvegetation-cover, environment, inlandwaters, north-dakota, northern-great-plains, prairie-pothole-region, stutsman-county, surface-water-non-marine, united-states-of-america, usgs-58c6e67ee4b0849ce9781fda, vegetation-changes, wetland-ecosystems, wetlands
Organization: Department of the Interior
Cottonwood Lake Study Area-Wetland Vegetation Zones-1979

Spatial polygons of vegetation zones in 1979 for wetlands; P3, P4, T3, T4, T5, T6, and T8 within the Cottonwood Lake Study Area, Stutsman County, North Dakota. Created from a collection of digital orthorectified images from aerial photographs of the study area acquired during 1979 using Stewart and Kantrud classification system.

Tags: aquatic-vegetation, biota, chase-lake-wetland-management-districtgtstutsman-county-waterfowl-production-areagteddy, chase-lake-wetland-management-districtgtstutsman-county-waterfowl-production-areagtshuler, cottonwood-lake-study-area, earth-sciencegtbiospheregtaquatic-ecosystemsgtwetlandsgtlacustrine-wetlands, earth-sciencegtbiospheregtaquatic-ecosystemsgtwetlandsgtpalustrine-wetlands, earth-sciencegtbiospheregtterrestrial-ecosystemsgtwetlandsgtlacustrine-wetlands, earth-sciencegtbiospheregtterrestrial-ecosystemsgtwetlandsgtpalustrine-wetlands, earth-sciencegtbiospheregtvegetationgtvegetation-cover, environment, inlandwaters, north-dakota, northern-great-plains, prairie-pothole-region, stutsman-county, surface-water-non-marine, united-states-of-america, usgs-58c6e26be4b0849ce9781fb5, vegetation-changes, wetland-ecosystems, wetlands
Organization: Department of the Interior
Cottonwood Lake Study Area-Wetland Vegetation Zones-1978

Spatial polygons of vegetation zones in 1978 for wetlands; P2, P3, P4, T4, T6, and T8 within the Cottonwood Lake Study Area, Stutsman County, North Dakota. Created from a collection of digital orthorectified images from aerial photographs of the study area acquired during 1978 using Stewart and Kantrud classification system.

Tags: aquatic-vegetation, biota, chase-lake-wetland-management-districtgtstutsman-county-waterfowl-production-areagteddy, chase-lake-wetland-management-districtgtstutsman-county-waterfowl-production-areagtshuler, cottonwood-lake-study-area, earth-sciencegtbiospheregtaquatic-ecosystemsgtwetlandsgtlacustrine-wetlands, earth-sciencegtbiospheregtaquatic-ecosystemsgtwetlandsgtpalustrine-wetlands, earth-sciencegtbiospheregtterrestrial-ecosystemsgtwetlandsgtlacustrine-wetlands, earth-sciencegtbiospheregtterrestrial-ecosystemsgtwetlandsgtpalustrine-wetlands, earth-sciencegtbiospheregtvegetationgtvegetation-cover, environment, inlandwaters, north-dakota, northern-great-plains, prairie-pothole-region, stutsman-county, surface-water-non-marine, united-states-of-america, usgs-58c6dcffe4b0849ce9781f58, vegetation-changes, wetland-ecosystems, wetlands
Organization: Department of the Interior
Cottonwood Lake Study Area-Wetland Vegetation Zones-1977

Spatial polygons of vegetation zones in 1977 for wetlands; P1, P2, P4, T6, T7, T8, and T9 within the Cottonwood Lake Study Area, Stutsman County, North Dakota. Created from a collection of digital orthorectified images from aerial photographs of the study area acquired during 1977 using Stewart and Kantrud classification system.

Tags: aquatic-vegetation, biota, chase-lake-wetland-management-districtgtstutsman-county-waterfowl-production-areagteddy, chase-lake-wetland-management-districtgtstutsman-county-waterfowl-production-areagtshuler, cottonwood-lake-study-area, earth-sciencegtbiospheregtaquatic-ecosystemsgtwetlandsgtlacustrine-wetlands, earth-sciencegtbiospheregtaquatic-ecosystemsgtwetlandsgtpalustrine-wetlands, earth-sciencegtbiospheregtterrestrial-ecosystemsgtwetlandsgtlacustrine-wetlands, earth-sciencegtbiospheregtterrestrial-ecosystemsgtwetlandsgtpalustrine-wetlands, earth-sciencegtbiospheregtvegetationgtvegetation-cover, environment, inlandwaters, north-dakota, northern-great-plains, prairie-pothole-region, stutsman-county, surface-water-non-marine, united-states-of-america, usgs-58c6d628e4b0849ce9781f46, vegetation-changes, wetland-ecosystems, wetlands
Organization: Department of the Interior
Cottonwood Lake Study Area-Wetland Vegetation Zones-1976

Spatial polygons of vegetation zones in 1976 for wetlands; P2, P4, T3, T4, T5, T6, T8, and T9 within the Cottonwood Lake Study Area, Stutsman County, North Dakota. Created from a collection of digital orthorectified images from aerial photographs of the study area acquired during 1976 using Stewart and Kantrud classification system.

Tags: aquatic-vegetation, biota, chase-lake-wetland-management-districtgtstutsman-county-waterfowl-production-areagteddy, chase-lake-wetland-management-districtgtstutsman-county-waterfowl-production-areagtshuler, cottonwood-lake-study-area, earth-sciencegtbiospheregtaquatic-ecosystemsgtwetlandsgtlacustrine-wetlands, earth-sciencegtbiospheregtaquatic-ecosystemsgtwetlandsgtpalustrine-wetlands, earth-sciencegtbiospheregtterrestrial-ecosystemsgtwetlandsgtlacustrine-wetlands, earth-sciencegtbiospheregtterrestrial-ecosystemsgtwetlandsgtpalustrine-wetlands, earth-sciencegtbiospheregtvegetationgtvegetation-cover, environment, inlandwaters, north-dakota, northern-great-plains, prairie-pothole-region, stutsman-county, surface-water-non-marine, united-states-of-america, usgs-58c6ac1be4b0849ce9781e6b, vegetation-changes, wetland-ecosystems, wetlands
Organization: Department of the Interior
Effects of food resources on fatty acid composition, growth and survival of freshwater mussels

Increased nutrient and sediment loading have caused observable changes in algal community composition, and thereby, altered the quality and quantity of food resources available to native freshwater mussels. Our objective was to characterize the relationship between nutrient conditions and mussel food quality and examine the effects on the fatty acid composition, growth and survival of juvenile mussels. Juvenile Lampsilis cardium and L. siliquoidea were deployed in cages for 28 d at four riverine and four lacustrine sites in the lower St. Croix River, Minnesota/Wisconsin, USA. Mussel foot tissue and food resources (four seston fractions and surficial sediment) were analyzed for quantitative fatty acid (FA) composition. Green algae were abundant in riverine sites, whereas cyanobacteria were most abundant in the lacustrine sites. Mussel survival was high (95%) for both species. Lampsilis cardium exhibited lower growth relative to L. siliquoidea (p &lt;0.0001), but growth of L. cardium was not significantly different across sites (p = 0.13). In contrast, growth of L. siliquoidea was significantly greater at the most upstream riverine site compared to the lower three lacustrine sites (p = 0.002). In situ growth of Lampsilis siliquoidea was positively related to volatile solids (10-32 µm fraction), total phosphorus (&lt;10 and 10-32 µm fractions) and select FA in the seston (docosapentaeonic acid, DPA, 22:5n3; 4,7,10,13,16-docosapentaenoic, 22:5n6; arachidonic acid, ARA, 20:4n6; and 24:0 in the &lt;10 and 10-32 µm fractions). Our laboratory feeding experiment also indicated high accumulation ratios for 22:5n3, 22:5n6, and 20:4n6 in mussel tissue relative to supplied algal diet. In contrast, growth of L. siliquiodea was negatively related to nearly all FAs in the largest size fraction (i.e., &gt;63 µm) of seston, including the bacterial FAs, and several of the FAs associated with the sediments. Reduced mussel growth was observed in L. siliquoidea when the abundance of cyanobacteria exceeded 9% of the total phytoplankton biovolume. Areas dominated by cyanobacteria may not provide sufficient food quality to promote or sustain mussel growth.

Tags: fatty-acid-composition, food-resources, freshwater-mussels, mississippi-river, nutrients, prescott-wi, sediment, st-croix-falls-wi, st-croix-river, survival-and-growth, usgs-58c69876e4b0849ce9781e42
Organization: Department of the Interior
Sediment Thickness—Bolinas to Pescadero, California

This part of DS 781 presents data for the sediment-thickness map of the Bolinas to Pescadero, California, region. The raster data file is included in "SedimentThickness_BolinastoPescadero.zip," which is accessible from http://pubs.usgs.gov/ds/781/BolinastoPescadero/data_catalog_BolinastoPescadero.html.  
As part of the USGS's California State Waters Mapping Project, a 50-m grid of sediment thickness for the seafloor within the 3-nautical mile limit between Bolinas and Pescadero was generated from seismic-reflection data collected between 2006 and 2010, supplemented with outcrop and geologic structure (fault) information following the methodology of Wong (2012). 
Reference Cited: Wong, F. L., Phillips, E.L., Johnson, S.Y., and Sliter, R.W., 2012, Modeling of depth to base of Last Glacial Maximum and seafloor sediment thickness for the California State Waters Map Series, eastern Santa Barbara Channel, California: U.S. Geological Survey Open-File Report 2012-1161, 16 p. (available at https://pubs.usgs.gov/of/2012/1161/)

Tags: coastal-geology, distributions, environment, geoscientificinformation, geospatial-datasets, maps-and-atlases, marine-geology, oceans, pacific-ocean, pescadero, physical-habitats-and-geomorphology, san-gregorio, san-mateo-county, sediment-deposition, sediment-thickness, seismic-isopach, seismic-reflection-methods, seismic-reflection-profiling, state-of-california, stratigraphic-thickness, usgs-58c4776d-8ee0-433a-a442-cf9323678d45
Organization: Department of the Interior
Histology data in support of manuscript "Pre-mining trace element and radiation exposure to biota from a breccia pipe uranium mine in the Grand Canyon (Arizona, USA) watershed"

The risks to wildlife and humans from uranium (U) mining to the Grand Canyon watershed are largely unknown.  In addition to U, other co-occurring ore constituents contribute to risks to biological receptors depending on their toxicological profiles. This data was collected to characterize the pre-mining concentrations of total arsenic (As), cadmium (Cd), copper (Cu), lead (Pb), mercury (Hg), nickel (Ni), selenium (Se), thallium (Tl), U, and zinc (Zn); radiation levels; and histopathologies in biota (vegetation, invertebrates, amphibians, birds, and mammals) at the Canyon Mine.

Tags: biological-resources, chemistry, uranium, uranium-mining, usgs-58c307cee4b0f37a93ed9199
Organization: Department of the Interior
Chemistry data in support of manuscript "Pre-mining trace element and radiation exposure to biota from a breccia pipe uranium mine in the Grand Canyon (Arizona, USA) watershed"

The risks to wildlife and humans from uranium (U) mining to the Grand Canyon watershed are largely unknown.  In addition to U, other co-occurring ore constituents contribute to risks to biological receptors depending on their toxicological profiles. This data was collected to characterize the pre-mining concentrations of total arsenic (As), cadmium (Cd), copper (Cu), lead (Pb), mercury (Hg), nickel (Ni), selenium (Se), thallium (Tl), U, and zinc (Zn); radiation levels; and histopathologies in biota (vegetation, invertebrates, amphibians, birds, and mammals) at the Canyon Mine.

Tags: biological-resources, chemistry, uranium, uranium-mining, usgs-58c30567e4b0f37a93ed9170
Organization: Department of the Interior
Datasets for the report entitled: "A Method for Addressing Differences in Concentrations of Fipronil and Three Degradates Obtained by Two Different Laboratory Methods"

This report provides data input and computation results for a method developed by Crawford and Martin (2017) to address differences in concentrations of fipronil and three degradates obtained by two different laboratory methods. Data are arranged in 9 tables that include water-quality site information, laboratory recovery data, laboratory analyses results and measured water-sample concentrations analyzed by the two laboratory methods, and estimated concentrations from the older method removing the effects of method differences.

Tags: chemical-analysis, laboratory-methods, pesticides, river-systems, usgs-58c2c4e4e4b0f37a93ed8eff, water-quality
Organization: Department of the Interior
Groundwater nitrate data and ascii grids of predicted nitrate and model inputs for the Central Valley aquifer, California, USA

This public data release contains two ascii grids comprising predicted nitrate concentrations (as NO3-N, mg/L) at two depth zones associated with private and public drinking water supply wells, respectively, in the Central Valley, California; raster files of the 25 predictor variables in the final statistical model; and groundwater nitrate data from the sampled wells used to train and test the model. Both prediction grids are bound by the alluvial bed boundary that defines the Central Valley. The prediction grids were produced with Boosted Regression Tree (BRT) modeling methods within a statistical modeling framework using the statistical modeling software R (R Core Team, https://www.r-project.org/) and linear interpolation within Oasis Montaj software (Geosoft, version 9.0.2). The response variable was a set of nitrate concentrations in wells located within the Central Valley. We compiled the database of well nitrate measurements from private supply and public supply wells. Nitrate data came from two sources, the University of California at Davis (UC Davis) and the U.S. Geological Survey (USGS). Prior to statistical modeling, wells were spatially declustered using an equal area grid cell approach to reduce effects on the modeling of oversampling in areas of intensive agricultural land use. A total of 5170 wells were selected, 3508 of which were used for training and 1662 of which served as hold-out. A database of 25 predictor variables was used for the final BRT model and included well characteristics, land use, climate, soil properties, aquifer properties, depth to the water table, and estimates of nitrogen loading and groundwater age. Based on the gridded predictor variables and final model, nitrate predictions were made using the R raster package for 17 depth zones spaced throughout the aquifer (at 15.24, 30.48, 45.72, 60.96, 76.20, 91.44, 106.68, 121.92, 152.40, 182.88, 213.36, 243.84, 274.32, 304.80, 365.76, 426.72, and 487.68 m below ground surface) to create input layers for 3D mapping with Oasis Montaj software version 9.0.2 (GeoSoft, Inc., 2016). The nitrate prediction grids for each of the 17 depth zones were imported into the Oasis Montaj mapping environment software for 3D interpolation and visualization. Each grid was assigned a vertical thickness of 1 m and linear interpolation was used between each of the layers at a vertical resolution of 1 m to produce a complete representation of predicted nitrate concentration at depth throughout the Central Valley. For visualization purposes, nitrate predictions were extracted from the interpolated model at 54.86 m and at 121.92 m deep. These depths correspond to the average total depths of private and public wells for the training wells.

Tags: boosted-regression-trees, california, central-valley, groundwater, machine-learning, mathematical-modeling, nitrate, united-states, usgs-58c1d920e4b014cc3a3d3b63
Organization: Department of the Interior
All Wells, District Boundaries, and Field Boundaries from the California Division of Oil, Gas, and Geothermal Resources (DOGGR)

There are 487 onshore oil and gas fields in California encompassing 3,392 square miles of aggregated area. The California State Water Resources Control Board (State Water Board) initiated a Regional Monitoring Program (RMP) in July 2015, intended to determine where and to what degree groundwater quality may be at potential risk to contamination related to oil and gas development activities including well stimulation, well integrity issues, produced water ponds, and underground injection. The first step in monitoring groundwater in and near oil and gas fields is to prioritize the 487 fields using consistent statewide analysis of available data that indicate potential risk of groundwater to oil and gas development. There were limited existing data on potential groundwater risk factors available for oil and gas fields across the state. During 2014-2016, the U.S. Geological Survey (USGS) extracted and compiled data from various sources, including the California Division of Oil, Gas, and Geothermal Resources (DOGGR) and the Department of Water Resources (DWR). 
Geospatial data from the DOGGR were used in the prioritization analysis. Dataset include geospatial data for 222,637 petroleum wells, administrative boundaries for 514 oil, gas, and geothermal fields, and boundaries for DOGGR's 6 juristictional districts. The data were downloaded from DOGGR's Geographic Information System (GIS) Mapping website at http://www.conservation.ca.gov/dog/maps. The DOGGR GIS Mapping website is periodally updated, and the datasets downloaded by the U.S. Geological Survey in 2014 may no longer be available on the DOGGR website.

Tags: california, district, oil-and-gas-field, petroleum-well, usgs-58c1c143e4b014cc3a3d3a98, western-united-states
Organization: Department of the Interior
Total well depths for water wells overlying and adjacent to oil and gas fields in California

There are 487 onshore oil and gas fields in California encompassing 3,392 square miles of aggregated area. The California State Water Resources Control Board (State Water Board) initiated a Regional Monitoring Program (RMP) in July 2015, intended to determine where and to what degree groundwater quality may be at potential risk to contamination related to oil and gas development activities including well stimulation, well integrity issues, produced water ponds, and underground injection. The first step in monitoring groundwater in and near oil and gas fields is to prioritize the 487 fields using consistent statewide analysis of available data that indicate potential risk of groundwater to oil and gas development. There were limited existing data on potential groundwater risk factors available for oil and gas fields across the state. During 2014-2016, the U.S. Geological Survey (USGS) extracted and compiled data from various sources, including the California Division of Oil, Gas, and Geothermal Resources (DOGGR) and the Department of Water Resources (DWR). 
In 2014, total well depths for groundwater wells in California were extracted from digital copies of well completion reports provided to the USGS by DWR. This digital dataset contains 16,912 well depths for domestic, municipal, irrigation, industrial, and agricultural wells that were overlying oil and gas fields or within 5 kilometers of a field boundary. Wells were attributed with approximate location, well use, and depth using information provided by DWR, and were attributed with land surface elevations using the California National Elevation Dataset. Wells were also attributed with the nearest oil and gas field using DOGGR All Wells geospatial data included in this data release.

Tags: california, environmental-resources, freshwater, groundwater, oil-and-gas-fields, petroleum, proximity, usgs-58c1c091e4b014cc3a3d3a8f, well-depth, western-united-states
Organization: Department of the Interior
Cottonwood Lake Study Area-Wetland Vegetation Zones-1994

Spatial polygons of vegetation zones in 1994 for wetlands; P1, P2, P3, P4, P6, P7, P8, P11, T1, T2, T3, T4, T5, T6, T7, T8, and T9 within the Cottonwood Lake Study Area, Stutsman County, North Dakota. Created from a collection of digital orthorectified images from aerial photographs of the study area acquired during July 1994 using Stewart and Kantrud classification system.

Tags: aquatic-vegetation, biota, chase-lake-wetland-management-districtgtstutsman-county-waterfowl-production-areagteddy, chase-lake-wetland-management-districtgtstutsman-county-waterfowl-production-areagtshuler, cottonwood-lake-study-area, earth-sciencegtbiospheregtaquatic-ecosystemsgtwetlandsgtlacustrine-wetlands, earth-sciencegtbiospheregtaquatic-ecosystemsgtwetlandsgtpalustrine-wetlands, earth-sciencegtbiospheregtterrestrial-ecosystemsgtwetlandsgtlacustrine-wetlands, earth-sciencegtbiospheregtterrestrial-ecosystemsgtwetlandsgtpalustrine-wetlands, earth-sciencegtbiospheregtvegetationgtvegetation-cover, environment, inlandwaters, north-dakota, northern-great-plains, prairie-pothole-region, stutsman-county, surface-water-non-marine, united-states-of-america, usgs-58c80dc3e4b0849ce979607d, vegetation-changes, wetland-ecosystems, wetlands
Organization: Department of the Interior
Depths to top of perforation and base of freshwater for oil and gas injection wells in California

There are 487 onshore oil and gas fields in California encompassing 3,392 square miles of aggregated area. The California State Water Resources Control Board (State Water Board) initiated a Regional Monitoring Program (RMP) in July 2015, intended to determine where and to what degree groundwater quality may be at potential risk to contamination related to oil and gas development activities including well stimulation, well integrity issues, produced water ponds, and underground injection. The first step in monitoring groundwater in and near oil and gas fields is to prioritize the 487 fields using consistent statewide analysis of available data that indicate potential risk of groundwater to oil and gas development. There were limited existing data on potential groundwater risk factors available for oil and gas fields across the state. During 2014-2016, the U.S. Geological Survey (USGS) extracted and compiled data from various sources, including the California Division of Oil, Gas, and Geothermal Resources (DOGGR) and the Department of Water Resources (DWR). 
The depth to top of perforated intervals and depth to base of freshwater for oil and gas injection wells in California were compiled from an Access database provided by the DOGGR in February 2015 as a retrieval from the California Well Information Management System (CalWIMS) database for Underground Injection Control (UIC) wells. This digital dataset contains 19,322 records for injection wells, of which 17,278 wells have a recorded depth to top of perforated intervals and 5,248 wells have a recorded depth to base of freshwater. The original dataset included the depths, American Petroleum Institute (API) numbers, oil and gas field, and well location. Wells were attributed with well status and type, and nearest oil and gas field for wells that plotted outside field boundaries using the DOGGR All Wells geospatial data included in this data release. Wells were attributed with land surface elevations using the California National Elevation Dataset.

Tags: california, environmental-resources, freshwater, groundwater, oil-and-gas-fields, petroleum, prioritization, underground-injection-control, usgs-58c1bfb8e4b014cc3a3d3a84, well-perforations, western-united-states
Organization: Department of the Interior