AndreaBozzo/ceres-open-data-index huggingface dataset:
Soil sample analyses of organic matter, inorganic carbon, and black carbon from selected deconstruction sties in St. Louis, Missouri, 2018

The text file "Soil_sample_analyses_1.txt" contains results of discrete soil samples (cores and surface samples) collected at selected vacant lot locations in St. Louis, Missouri, in November and December of 2018.  Sample results include soil organic matter (SOM) weight loss, black carbon weight loss, inorganic carbon weight loss, soil organic matter in milligrams per gram (mg/g), black carbon in mg/g, and inorganic carbon in mg/g, and black carbon fraction in percent.  Samples were analyzed by the U.S. Environmental Protection Agency, Office of Research and Development using methods provided in Schifman and others (2018).
References Cited: 
Schifman, L.A., Prues, A., Gilkey, K., and  Shuster, W.D., 2018, Black carbon in urban soils: implications for water quality management with green infrastructure: Science of the Total Environment., vol. 644, no. 10, p. 1027-1035.  https://doi.org/10.1016/j.scitotenv.2018.06.396.

Tags: environment, geoscientificinformation, organic-matter-black-carbon-inorganic-carbon-soil-texture, saint-louis-county, st-louis, usgs-5f99e283d34e198cb786e886
Organization: Department of the Interior
X-ray diffraction data of sediment samples from Hastings, Nebraska

X-ray diffraction (XRD) data was collected by the U.S. Geological Survey (USGS) in 2015 and 2016 on sediment core samples collected near Hastings, Nebraska, by the University of Nebraska at Lincoln (UNL) to inform aquifer sediment composition, mineralogical composition of operationally defined size fractions, and geochemical modeling.  The sediment cores were collected near Hastings, Nebraska, and were collected, preserved, and processed by University of Nebraska at Lincoln (UNL).

Tags: adams-county, environment, environmental-health-toxics-substances-program, geology-geophysics-and-geochemistry-science-center, gggsc, hastings, mineralogy, nebraska, u-s-geological-survey, unconsolidated-deposits, uranium, usgs, usgs-5f99d05ed34e198cb786e80d, x-ray-diffraction
Organization: Department of the Interior
Groundwater Quality in the Lake Champlain and Susquehanna River Basins, New York, 2019

From July to November 2019, 48 environmental samples and four quality assurance and quality control samples were collected throughout the Lake Champlain and Susquehanna River Basins. Samples were collected from 10 production wells and nine domestic wells in the Lake Champlain Basin, and 14 production wells and 15 domestic wells in the Susquehanna River Basin. Of the total wells sampled, 24 were completed in bedrock and 24 were completed in sand and gravel. Approximately 20 percent of samples were collected from wells that previously have been sampled as part of this study in 2005, 2009, and 2014. Groundwater samples were collected prior to any treatment or filtration systems, from existing domestic and production wells equipped with permanently installed pumps. 
Samples were collected and processed using standard USGS methods and were analyzed for 364 constituents including physicochemical properties, dissolved gases, major ions, nutrients, trace elements, pesticides, volatile organic compounds (VOCs), radiological activity, and indicator bacteria. All analytes are listed in the data release, along with the associated method detection and reporting limits, some of which changed over time. About 73 percent of constituents analyzed were not detected at concentrations greater than the method detection limit. Samples were analyzed at the USGS National Water Quality Laboratory (NWQL) in Denver, Colorado, and other certified laboratories following published methods.
Quality assurance and quality control samples were collected and assessed in each of the sampled basins. In the Susquehanna River Basin, a replicate was collected at well SY1363, and in the Lake Champlain Basin a replicate was collected at well W1616, and both were analyzed for all constituents. An equipment blank and field blank were also analyzed for all constituents. The VOC 1,2,4-Trimethylbenzene was detected in the blank samples and all the groundwater samples, and contamination is suspected from the scintillation liquid in the radon sampling kits. Due to the potential for contamination bias, results for 1,2,4-Trimethylbenzene are not included.

Tags: broome-county, chenango-county, clinton-county, cortland-county, delaware-county, essex-county, groundwater, groundwater-quality, herkimer-county, hydrogeology, lake-champlain-basin, madison-county, onondaga-county, otsego-county, schuyler-county, susquehanna-river-basin, tioga-county, tompkins-county, usgs-5f99ca18d34e198cb786e7e3, warren-county, washington-county, water-chemistry, water-resources
Organization: Department of the Interior
Groundwater Quality Data from the Upper Hudson and Central New York River Basins, New York, 2017

From May to December 2017, 48 environmental samples and six quality control samples were collected throughout the Upper Hudson and Central New York River Basins. Samples were collected from nine production wells and 11 domestic wells in the Upper Hudson River Basin, and 14 production wells and 14 domestic wells in the Central New York River Basin. Of the total wells sampled, 22 were completed in bedrock and 26 were completed in sand and gravel. Approximately 20 percent of samples were collected from wells that were previously sampled as in 2007 and 2012. Groundwater samples were collected prior to any treatment or filtration systems, from existing domestic and production wells equipped with permanently installed pumps. 
Samples were collected and processed using standard USGS methods and were analyzed for 372 constituents including physicochemical properties, dissolved gases, major ions, nutrients, trace elements, pesticides, volatile organic compounds (VOCs), radiological activity, and indicator bacteria. All analytes are listed in the data release, along with the associated method detection and reporting limits, some of which changed over time. About 73 percent of constituents analyzed were not detected at concentrations greater than the method detection limit. Samples were analyzed at the USGS National Water Quality Laboratory (NWQL) in Denver, Colorado, and other certified laboratories following published methods.
Quality assurance and quality control samples were collected and assessed in each of the sampled basins. In the Upper Hudson River Basin, one replicate was collected at well SA1091, and in the Central New York River Basin, one replicate was collected at well OW1677, and both were analyzed for all constituents. Replicates analyzed for dissolved gases, radionuclides, and indicator bacteria were collected at well RE4784 of the Upper Hudson River Basin and well OT1821 of the Central New York River Basin. Field blanks analyzed for major ions, dissolved solids, nutrients, organic carbon, trace elements, pesticides, and VOCs were collected at well OT1821 and well RE4784. The VOC 1,2,4-Trimethylbenzene was detected in blank samples and most of the groundwater samples, and contamination is suspected from the scintillation liquid in the radon sampling kits. Due to the potential for contamination bias, results for 1,2,4-Trimethylbenzene are not included.

Tags: cayuga-county, central-new-york-river-basin, essex-county, fulton-county, groundwater, groundwater-quality, hamilton-county, hydrogeology, lewis-county, oneida-county, onondaga-county, ontario-county, oswego-county, rensselaer-county, saratoga-county, schuyler-county, seneca-county, steuben-county, tompkins-county, upper-hudson-river-basin, usgs-5f99b959d34e198cb786e77a, warren-county, washington-county, water-chemistry, water-resources, wayne-county, yates-county
Organization: Department of the Interior
Little Dry Creek and Cottonwood Creek Sediment Transport Data, 2012-2018, San Joaquin Watershed in the California Central Valley

Two tributary watersheds¬ Cottonwood Creek and Little Dry Creek¬ to the greater San Joaquin watershed, in California’s Central Valley were assessed for sediment and flow dynamics, between water years (Oct. 1 to Sept. 30) 2011 and 2019. The two systems deliver suspended sediment to the San Joaquin River below Friant Dam, California. Because these two creeks are directly down river of Friant Dam, they become the most upstream source of sediment to the San Joaquin River below Friant Dam. Thus, is it important to assess their contribution to the San Joaquin system.
Flow from each creek watershed, along with the San Joaquin River, was compared to continuously measured water surface elevations to quantify flow direction and timing. Suspended sediment was sampled using multiple automatic samplers and analyzed for concentration and grain size distribution.

Tags: cottonwood-creek, inlandwaters, little-dry-creek, river-systems, san-joaquin-river, sediment-transport, usgs-5f9b7e4ed34e198cb78d7d3e
Organization: Department of the Interior
Bird Behavior and Mortality in Relation to Power Lines in Prairie Habitats, North Dakota, 1981 to 1982

A biologist and field crew from Northern Prairie Wildlife Research Center observed bird flights at 7 study sites, twice weekly during two spring and two fall migration periods between April 3, 1981 and May 20, 1982. Study sites were located in south-central North Dakota in Barnes, Kidder, and Stutsman counties. The database includes flight observation's of bird species in the vicinity of power lines and transmission towers, number of birds in each flock, their reactions to power lines and transmission towers, weather conditions, and number of collisions.

Tags: atmospheric-and-climatic-processes, barnes-county, biota, bird-strikes, birds, kidder-county, migratory-species, mortality, north-dakota, power-lines, prairie-wetlands, riparian-forest, stutsman-county, usgs-5f99861dd34e198cb7830f02
Organization: Department of the Interior
BS_Q12.TIF - Bering Sea U.S. EEZ GLORIA sidescan-sonar data mosaic (12 of 30) (LCC, 50 m, Clarke1866)

In 1984, the U.S. Geological Survey (USGS), Office of Marine Geology, launched a program using the Geological LOng-Range Inclined Asdic (GLORIA) sidescan-sonar system to study the entire U.S. Exclusive Economic Zone (EEZ). From 1986 through 1989, the USGS and IOS (Institute of Oceanographic Sciences, U.K.) scientists conducted several surveys within the U.S. EEZ off Alaska. Four surveys during that time period (1986-1987) focused on the Bering Sea region. The results of these surveys were 30 digital mosaics of a 3 degree by 2 degree area with a 50-meter pixel resolution.

Tags: acoustic-receivers, acoustic-reflectivity, agattu-island, alaska, aleutian-basin, aleutian-islands-ecoregion, aleutian-ridge, attu-island, backscatter, bering-canyon, bering-channel, bering-fan, bering-sea, beringian-margin, bowers-ridge, buldir-island, cmgp, coastal-and-marine-geology-program, continental-island-rise, continental-island-slope, distributions, eez, exclusive-economic-zone, exclusive-economic-zone-eez, geological-long-range-inclined-asdic, geoscientificinformation, geotiff-image, gloria, gloria-gt-geological-long-range-inclined-asdic, grey-scale-image, image-mosaics, imagerybasemapsearthcover, infobank-identifier-f-1-87-bs, infobank-identifier-f-2-86-bs, infobank-identifier-f-3-86-bs, infobank-identifier-f-4-86-bs, little-sitkin-island, marine-basin-floor, marine-geology, marine-geophysics, marine-oceanic, ocean-gt-pacific-ocean, ocean-gt-pacific-ocean-gt-north-pacific-ocean, ocean-gt-pacific-ocean-gt-north-pacific-ocean-gt-bering-sea, oceans, oceans-gt-ocean-acoustics-gt-acoustic-reflectivity, physical-habitats-and-geomorphology, pribilof-canyon, sea-floor-acoustic-reflectivity, sea-floor-characteristics, seabed, semisopochnoi-island, shemya-island, side-scan-sonar, sidescan-sonar, sidescan-sonar-mosaic, u-s-geological-survey, umnak-plateau, usgs, usgs-5f990fd8-6707-48b9-9158-98ab9cdd9cb4, wcmg, western-coastal-and-marine-geology, zhemchug-canyon
Organization: Department of the Interior
Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 6 Model evaluation

&lt;p&gt;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.&lt;/p&gt;

Tags: al, alabama, de, deep-learning, delaware, environment, ga, georgia, ia, id, idaho, inlandwaters, iowa, kansas, ks, ma, machine-learning, maine, maryland, massachusetts, md, me, mi, michigan, mississippi, modeling, ms, nc, nevada, new-jersey, new-mexico, new-york, nj, nm, north-carolina, nv, ny, oh, ohio, ok, oklahoma, or, oregon, pa, pennsylvania, rhode-island, ri, sc, south-carolina, streams, tennessee, texas, tn, tx, united-states, us, usgs-5f9865fbd34e198cb77ff08c, ut, utah, va, virginia, wa, washington, water-resources, water-temperature, west-virginia, wi, wisconsin, wv, wy, wyoming
Organization: Department of the Interior
Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 5 Model predictions

&lt;p&gt;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.&lt;/p&gt;

Tags: al, alabama, de, deep-learning, delaware, environment, ga, georgia, ia, id, idaho, inlandwaters, iowa, kansas, ks, ma, machine-learning, maine, maryland, massachusetts, md, me, mi, michigan, mississippi, modeling, ms, nc, nevada, new-jersey, new-mexico, new-york, nj, nm, north-carolina, nv, ny, oh, ohio, ok, oklahoma, or, oregon, pa, pennsylvania, rhode-island, ri, sc, south-carolina, streams, tennessee, texas, tn, tx, united-states, us, usgs-5f9865e5d34e198cb77ff08a, ut, utah, va, virginia, wa, washington, water-resources, water-temperature, west-virginia, wi, wisconsin, wv, wy, wyoming
Organization: Department of the Interior
Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 4 Models

&lt;p&gt;This data release component contains model code and configurations for the LSTM and linear regression models used to predict stream temperature.&lt;/p&gt;

Tags: al, alabama, de, deep-learning, delaware, environment, ga, georgia, ia, id, idaho, inlandwaters, iowa, kansas, ks, ma, machine-learning, maine, maryland, massachusetts, md, me, mi, michigan, mississippi, modeling, ms, nc, nevada, new-jersey, new-mexico, new-york, nj, nm, north-carolina, nv, ny, oh, ohio, ok, oklahoma, or, oregon, pa, pennsylvania, rhode-island, ri, sc, south-carolina, streams, tennessee, texas, tn, tx, united-states, us, usgs-5f9865cfd34e198cb77ff088, ut, utah, va, virginia, wa, washington, water-resources, water-temperature, west-virginia, wi, wisconsin, wv, wy, wyoming
Organization: Department of the Interior
Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 2 Observations

&lt;p&gt;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.&lt;/p&gt;

Tags: al, alabama, de, deep-learning, delaware, environment, ga, georgia, ia, id, idaho, inlandwaters, iowa, kansas, ks, ma, machine-learning, maine, maryland, massachusetts, md, me, mi, michigan, mississippi, modeling, ms, nc, nevada, new-jersey, new-mexico, new-york, nj, nm, north-carolina, nv, ny, oh, ohio, ok, oklahoma, or, oregon, pa, pennsylvania, rhode-island, ri, sc, south-carolina, streams, tennessee, texas, tn, tx, united-states, us, usgs-5f986594d34e198cb77ff084, ut, utah, va, virginia, wa, washington, water-resources, water-temperature, west-virginia, wi, wisconsin, wv, wy, wyoming
Organization: Department of the Interior
U.S. Geological Survey field survey data for hydraulic modeling at selected dam-removal and culvert-retrofit sites in the northeastern United States

This dataset contains U.S. Geological Survey (USGS) field survey data at nine dam-removal and culvert-retrofit sites in the northeastern United States (Olson and Simeone, 2021). The USGS field data survey are used to support the development of one-dimensional and two-dimensional U.S. Army Corps of Engineer (USACE) Hydrologic Engineering Center’s River Analysis System (HEC-RAS) models for the post-dam removal and culvert-retrofit conditions. The referenced models were used to evaluate fish passage and flood risk along the simulated reaches in the various states simulated. The field survey data consists of Global Navigation Satellite System-derived orthometric heights in the North American Vertical Datum of 1988 and projected horizontal coordinates in the North American Datum of 1983 State Plane for the respective State the sites are located in.

Tags: connecticut, gps-measurement, land-surveying, massachusetts, new-jersey, rhode-island, usgs-5f98626ad34e198cb77ff077
Organization: Department of the Interior
Extractable elements data for sediment-source fingerprinting in Black Creek, Indiana, tributary to the Maumee River and western Lake Erie

This data release includes chemical data for samples from upland-source and streambank sampling sites in the Black Creek basin, Indiana. Data include concentrations for 20 elements, extracted by Mehlich-3 extraction. Source samples were collected in August and September 2017 and analyzed in 2019.

Tags: agriculture, allen, anthropocene, biota, extractable-elements, field-monitoring-stations, holocene, indiana, land-use-and-land-cover, sediment-transport, upper-maumee, usgs-5f984df8d34e198cb77fefe0, western-lake-erie
Organization: Department of the Interior
Light model and GPP estimates for 173 U.S. rivers

This data release contains products from Savoy &amp; Harvey (2021) which modeled photosynthetically active radiation and gross primary productivity (GPP) for 173 streams and rivers across the continental United States. Estimates of photosynthetically active radiation (PAR) were generated using a model that considers the contribution of light attenuation from riparian zones as well as within the water column. PAR estimates at the stream surface and within the water are both provided and each of these two estimates were converted to GPP estimates using a fixed light use efficiency. 
Items in this data release consist of:
site information and parameters.txt : Information on site identifiers, location information, and model parameters. The format is a tab-delimted file with 1 row per site.
model inputs and outputs.zip: Timeseries of the necessary input data used to estimate photosynthetically active radiation as well as the resulting modeled estimates. The format is a tab-delimited file for each site that contains all model inputs and outputs at hourly timesteps.
model validation dataset.txt: A common validation set for estimates of gross primary productivity generated from estimated light and a fixed light use efficiency. This dataset represents a subset of all predictions where all necessary data was available and independent estimates of gross primary productivity from Appling et al. (2018) (https://www.sciencebase.gov/catalog/item/59bff507e4b091459a5e0982) were also available. The format is a single compiled tab-delimited file with 1 row per site-day.
loaded_environment.RData: An R environment with all site parameters, model driver files, and model source code from this data release pre-loaded.
StreamLight_0.2.0.zip: Model source code for StreamLight v0.2.0 built as a binary package.
model_instructions.html: An example markdown file is included to give a brief summary of the model and a demonstration of running the model.
This work was supported by the USGS Water Availability and Use Science Program.

Tags: biota, light-transmission, metabolism, photosynthesis, primary-production, rivers, streams, turbidity, usgs-5f974adfd34e198cb77db168
Organization: Department of the Interior
Data and hydraulic models at selected dam-removal and culvert-retrofit sites in the northeastern United States

This dataset contains U.S. Geological Survey (USGS) developed hydraulic models, USGS developed hydrology data, US Fish and Wildlife Service (USFWS) supplied data (topography/bathymetry and structure data for pre removal conditions), and USGS field surveyed data at nine dam-removal and culvert-retrofit sites in the northeastern United States (Olson and Simeone, 2021). The hydrology, the USFWS supplied and USGS field data are used to support the development of one-dimensional and two-dimensional U.S. Army Corps of Engineer (USACE) Hydrologic Engineering Center’s River Analysis System (HEC-RAS) models for both the pre- and post-dam removal and culvert-retrofit conditions. The referenced models were used to evaluate fish passage and flood risk along the simulated reaches in the various states simulated. The HEC-RAS hydraulic models include data for the models and model output files. 
This data release consists of four child items and a file listing the name and location of each of the modeled areas and purpose of each model (file “Site_Details.xlsx”). 
This data release supports the following publication which contains further information and descriptions of the data contained in this release: 
Olson, S.A., and Simeone, C.E., 2021, Hydraulic modeling at selected dam-removal and culvert-retrofit sites in the northeastern United States: U.S. Geological Survey Scientific Investigations Report 2021–5056, 37 p., https://doi.org/10.3133/sir20215056.

Tags: aquatic-biology, bradford-dam-pawcatuck-river-westerly-ri, floods, hopewell-mills-dam-mill-river-taunton-ma, hughesville-dam-musconetcong-river-warren-glen-nj, hyde-pond-dam-whitford-brook-mystic-ct, hydraulic-engineering, hydrology, pond-lily-dam-west-river-new-haven-ct, usgs-5f97391bd34e198cb77db10f, west-britannia-dam-mill-river-taunton-ma, white-rock-dam-pawcatuck-river-westerly-ri, whittendon-dam-mill-river-taunton-ma, wreck-pond-brook-outfall-wreck-pond-brook-spring-lake-nj
Organization: Department of the Interior
Chemical and biological exposure bioassay data from sediment collected within the Grand Calumet River, Indiana, USA

The Grand Calumet River (GCR), located in northern Indiana, is contaminated due to a wide range of historical industrial activities.  Short-term and long-term sediment exposure bioassays with the amphipod Hyalella azteca, the midge Chironomus dilutus, and the mussel Lampsilis siliquoidea were conducted with samples collected in 2013, 2015, and 2017, from up to 26 sites, including both remediated, non-remediated and relatively uncontaminated reference sites. The responses (survival, growth, reproduction and/or emergence) of test organisms to the exposure bioassays are presented here.

Tags: biota, dissolved-metals, environmental-toxicology, industrial-pollution, metals, pahs, pcbs, sediment-remediation, sediment-toxicity, usgs-5f96d715d34e074d1b7feee3
Organization: Department of the Interior