AndreaBozzo/ceres-open-data-index huggingface dataset:
R code that determines buying and selling of water by public-supply water service areas

This child item describes R code used to determine whether public-supply water systems buy water, sell water, both buy and sell water, or are neutral (meaning the system has only local water supplies) using water source information from a proprietary dataset from the U.S. Environmental Protection Agency. This information was needed to better understand public-supply water use and where water buying and selling were likely to occur. Buying or selling of water may result in per capita rates that are not representative of the population within the water service area. This dataset is part of a larger data release using machine learning to predict public supply water use for 12-digit hydrologic units from 2000-2020. Output from this code was used as an input feature variable in the public supply water use machine learning model.
This page includes the following files:
ID_WSA_04062022_Buyers_Sellers_DR.R - an R script used to determine whether a public-supply water service area buys water, sells water, or is neutral
BuySell_readme.txt - a README text file describing the script

Tags: alabama, arizona, arkansas, california, colorado, connecticut, conterminous-united-states, delaware, district-of-columbia, florida, georgia, idaho, illinois, indiana, iowa, kansas, kentucky, louisiana, maine, maryland, massachusetts, michigan, minnesota, mississippi, missouri, montana, nebraska, nevada, new-hampshire, new-jersey, new-mexico, new-york, north-carolina, north-dakota, ohio, oklahoma, oregon, pennsylvania, public-supply, rhode-island, south-carolina, south-dakota, tennessee, texas, usgs-63da928ed34e9fa19a97d5e8, utah, vermont, virginia, washington, water-use, west-virginia, wisconsin, wyoming
Organization: Department of the Interior
Environmental DNA of selected terrestrial vertebrates and bacteria detected in the Platte River near Ashland, Nebraska 2019-22

Water samples from the Platte River were collected and analyzed for environmental DNA (eDNA). The U.S. Geological Survey (USGS) Nebraska Water Science Center (NEWSC) collected samples monthly from November 2019 to September 2022 at the Platte River near Ashland, Nebraska (USGS: 06801000). The USGS, in cooperation with the City of Lincoln, collected these samples. Water from the Platte River was collected as a series of weighted bottle subsamples that were taken from equal width increments across the river and composited into a sterilized 1-liter bottle. An aliquot of this composited sample was extracted using a sterile syringe and then filtered by the USGS NEWSC staff using filters provided by Jonah Ventures. These filters were frozen and shipped to Jonah Ventures Laboratory in Boulder, Colorado. Any eDNA associated with 6 vertebrates (bovine, human, poultry, swine, canine, or sheep) or the Escherichia Coli bacteria were then extracted from the filter and processed using quantitative polymerase chain reaction (qPCR). These qPCR assays were chosen to identify and quantify the relative amount of eDNA for these different species that are present in the river near Ashland, Nebraska. Midway through the study effort (August 2021), a new preservative was included in the analytical method which may have introduced a step trend in some of the qPCR results.
Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

Tags: environmental-dna, farming, geoscientificinformation, inlandwaters, lower-platte, nebraska, platte-river, polymerase-chain-reaction, sarpy, saunders, surface-water-quality, usgs-63da7512d34e9fa19a97d511, water-quality, water-sampling
Organization: Department of the Interior
Alkenone temperature estimates from the Miocene (Burdigalian, Langhian, Tortonian) and Pliocene (Zanclean) Atlantic Coastal Plain sediments

This dataset collects sea surface temperature data generated through alkenone analysis of Neogene sediments collected from cores and outcrops of the Virginia and Maryland Atlantic Coastal Plain.

Tags: climate-change, maryland, usgs-63e17a82d34e9fa19a9b79a5, virginia
Organization: Department of the Interior
Mineral Commodity Summaries 2023 - IRON AND STEEL SLAG Data Release

This data release contains the U.S. salient statistics and world production data extracted from the IRON AND STEEL SLAG data sheet of the USGS Mineral Commodity Summaries 2023.

Tags: iron-and-steel-slag, metallic-mineral-resources, usgs-63d1a433d34e06fef15006fc
Organization: Department of the Interior
PHREEQC files for geochemical simulations in Horn Creek, Grand Canyon, AZ

PHREEQC files included in this ScienceBase product were used to interpret changes in water quality within the Horn Creek watershed of Grand Canyon for the associated publication. PHREEQC is a publicly available software for geochemical modeling and the software can be downloaded at https://www.usgs.gov/software/phreeqc-version-3. An accompanying report (Parkhurst and Appelo, 2013) serves as the formal documentation for PHREEQC.The wateq4f database (Ball and Nordstrom, 1991) was used, without modification, for the PHREEQC simulation. Text files of the input and output information from PHREEQC are included to document information without needing the PHREEQC program.

Tags: biota, geochemistry, grand-canyon, usgs-63d98b46d34e5158f0cc7c78, valle
Organization: Department of the Interior
Introduction to Planetary Image Analysis and Geologic Mapping in ArcGIS Pro

GIS project files and imagery data required to complete the Introduction to Planetary Image Analysis and Geologic Mapping in ArcGIS Pro tutorial. These data cover the area in and around Jezero crater, Mars.

Tags: gis, jezero-crater, mars, nili-planum, planetary-science, training, usgs-63d9878fd34e5158f0cc7c57
Organization: Department of the Interior
Biophysical drivers for predicting the distribution and abundance of invasive yellow sweet clover in the Northern Great Plains

Yellow sweetclover (Melilotus officinalis; YSC), an invasive biennial legume, bloomed throughout the Northern Great Plains (NGP) following greater-than-average precipitation during 2018-2019. YSC can increase nitrogen (N) levels and potentially cause broad changes in the composition of native plant species communities. There is little knowledge of the drivers behind its spatiotemporal variability, including conditions causing significant widespread blooms across western South Dakota (SD). We aimed to develop a generalized prediction model to map the relative abundance of YSC in suitable habitats across rangelands of western SD for the recent sweet clover year 2019. The following research questions were asked: 1. What is the spatial extent of YSC across western SD? 2. Which model can accurately predict the habitat and percent cover of YSC? and 3. What environmental drivers affect its presence across western SD? We trained machine learning models with in-situ data (2016-2021), Sentinel 2A-derived surface reflectance and indices (10m and 20m) and site-specific variables (e.g., climate, topography, land cover, and edaphic factors) to optimize model estimates. Our study identified the most suitable drivers to explain the variability in YSC presence and its percent cover through data dimensionality reduction techniques. Our research demonstrated how machine learning algorithms could help generate valuable information on the spatial distribution of invasive rangeland plant species. We found major YSC hotspots in Butte and Meade counties of SD. The floodplains of major rivers in SD, such as the Cheyenne, White, and Bad Rivers, also showed a higher occurrence probability and percent cover range. These prediction maps could aid land managers in devising strategies for regions that are prone to YSC overruns. This management workflow can serve as a prototype for mapping other invasive plant species worldwide.

Tags: abundance, biomod2, ensemble-model, habitat-suitability-model, invasive, minnesota, montana, nebraska, north-dakota, northern-great-plains, random-forest, remote-sensing, sentinel-2, south-dakota, united-states, upper-missouri-river-basin, usgs-63d97d5ad34e5158f0cc7c48, western-south-dakota, wyoming, yellow-sweetclover
Organization: Department of the Interior
Geochemistry of the Leatherwood coal in eastern Kentucky

The Middle Pennsylvanian (Bolsovian) Leatherwood coal in central eastern Kentucky is a moderately thick (up to &gt;1.6 m in the sites examined in this study) coal bed that has been one of the major sources of electricity in the region. To document and understand the organic petrology and inorganic chemistry of the Leatherwood coal, geologists from the University of Kentucky Center for Applied Energy Research (CAER), Kentucky Geological Survey (KGS), and U.S. Geological Survey (USGS) collected 45 bench samples of the Leatherwood coal in the late-1980’s through the early-2000’s. USGS laboratories analyzed the chlorine and selenium contents of 27 bench samples by ion chromatography (IC) and hydride generation-atomic absorption spectrometry (HG-AAS), respectively, and mercury contents of 44 of the bench samples by CVAA. All samples were analyzed on whole coal and are reported on a whole coal basis.

Tags: bench-coal, coal-resources, coal-vapor-atomic-absorption-cvaa, energy-resources, ion-chromatography-ic, kentucky, leatherwood-coal, usgs-63d938c4d34e5158f0cc7b02
Organization: Department of the Interior
Pesticide concentration and related water-quality data for selected groundwater sites near areas of agricultural land use in Alabama, 2009-2020

Data in this release were collected and computed to evaluate the occurrence of pesticides in shallow groundwater in the state of Alabama. Additionally, these data support interpretation in Gill (2023) for a cooperative project between the U.S. Geological Survey and the Alabama Department of Agriculture and Industries. During 2009-2020, samples were collected from twenty-four wells located near agricultural land use in Alabama and evaluated for concentrations of agricultural pesticides and pesticide degradates. Most data produced from the sampling effort are available from the publicly accessible USGS National Water Information System (NWIS; U.S. Geological Survey, 2023). For certain pesticide compounds, data were combined from multiple analytical methods to provide a longer period of record in order to evaluate changes in concentrations and occurrence through time.  All groundwater quality data used in Gill (2023), including supporting quality assurance datasets, are  included in this data release.
References:
Gill, A.C., 2023, Pesticide occurrence in shallow groundwater near areas of agricultural land use in Alabama, 2009-2020: U.S. Geological Survey Scientific Investigations Report 2023-xxxx, xx p., https://doi.org/xxxx.
U.S. Geological Survey, 2023, National Water Information System data available on the World Wide Web (USGS Water Data for the Nation), accessed April 21, 2023, at http://dx.doi.org/10.5066/F7P55KJN.

Tags: agriculture, datasets, groundwater-quality, pesticide-and-herbicide-contamination, usgs-63d83e65d34e5158f0cc7811, water-quality
Organization: Department of the Interior
North Lake Mechant Landbridge Restoration (TE-44): 2021 land-water classification

The Louisiana State Legislature created the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the North Lake Mechant Landbridge Restoration (TE-44) project for 2021. This data is used as a basemap land-water classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within their project boundary. To better evaluate the effectiveness of restoration efforts, a land-water classification is performed on specific CWPPRA sites to help assess landscape changes.

Tags: aerial-photography, conservation, cwppra, digital-elevation-models, ecosystem-monitoring, environment, geographic-information-systems, gulf-of-mexico, image-collections, image-mosaics, louisiana, louisiana-coastal, remote-sensing, te-44, united-states-of-america, usgs-63dabaf5d34e9fa19a988d6d, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Chemical Concentrations and Microbiological Results for Assessment of Mixed-Organic/Inorganic Chemical Exposures in Tapwater in Mead, Nebraska, June 2022 and January 2023

In the United States and globally, the lack of data on contaminant exposure from unregulated private-well point-of-use (POU) tapwater (TW) is a recognized public health data gap and an obstacle to risk management and homeowner decision making. Mead, Nebraska, is an agricultural community about 30 miles west of Omaha. To help address the lack of data on broad contaminant exposures in TW sourced from private water wells, a total of 22 samples were collected from 18 private wells during June 2022 and January 2023 and analyzed for 495 organic compounds, 34 inorganic constituents, and 11 microbial groups. The organic compounds included pesticides, pharmaceuticals, volatile organic compounds (VOCs), disinfection byproducts (DBPs), per- and polyfluoroalkyl substances (PFAS), and cyanotoxins. An additional three samples from existing private POU water filters were collected and analyzed only for pesticides. Pesticides and disinfection byproducts (DBP) were analyzed at the USGS Organic Chemistry Research Laboratory (OCRL) in Sacramento, California. Pharmaceuticals, VOCs, and PFAS were analyzed at the U.S. Geological Survey (USGS) National Water Quality Laboratory (NWQL) in Denver, Colorado. Cyanotoxins were analyzed at the USGS Organic Geochemistry Research Laboratory (OGRL) in Lawrence, Kansas. Inorganic constituents were analyzed at the USGS Redox Chemistry Laboratory (RCL) in Boulder, Colorado.  Microbiological samples were analyzed by the USGS Michigan Bacterial Research Laboratory (MIBaRL) in Lansing, Michigan.

Tags: biota, environmental-health, inorganic-constituents, microbial-constituents, nebraska, organic-constituents, private-well, tap-water, tapwater, usgs-63d81b63d34e5158f0cc76f2
Organization: Department of the Interior
Beryllium-10 concentrations in depth profiles and surface clasts from terrace surfaces near Littlerock Creek, California

This report summarizes the age-dating results from four terrace surfaces of the Littlerock Creek (map units T3g, T3c, T2, and T1c) that record cumulative strike-slip displacements ranging from 470 to 1080 meters along the Mojave section of the San Andreas Fault. Within this report are detailed the methodology used to collect samples of rock and sediment, determine concentrations of cosmogenic beryllium-10 in purified quartz isolated from the samples, and use those nuclide concentrations to calculate surface exposure ages. This report is for fourteen samples. Thirteen samples were collected by Adrien Moulin in 2016 with support from Emery Anderson-Merritt. One sample was collected by Katherine M. Scharer in 2018. Sample preparation and measurements of beryllium ratios by accelerator mass spectrometry (AMS) were completed at the Lawrence Livermore National Laboratory, Livermore, CA, following standard methods.

Tags: biota, cosmogenic-radionuclide, exposure-age, littlerock, mojave, usgs-63d80381d34e5158f0cc7614
Organization: Department of the Interior
Ecological, Geomorphological, Sedimentological, and Geochemical Records of Pre- and Post-Colonial Riparian Ecosystems in Anne Arundel County, Maryland

This data release includes data collected in the pursuit of identifying pre- and post-colonial riparian ecosystems found throughout Anne Arundel County, Maryland, USA. A single raster file is included, and represents a topological classification of the entire county according to a hydrologically conditioned Digital Elevation Model (DEM). Ten shapefiles are also included, nine of which represent the depths of various soil layers as identified by ground-penetrating radar for two detailed study sites within Anne Arundel County. A tenth documents the depths cored at both detailed study sites, and their spatial locations. Finally, twenty comma-delimited tables are included in this release with fifteen tables documenting pollen records at various depths identified within sediment samples taken throughout the country's flood plains. The remaining five tables include the following: general summary information for all sample sites; radiocarbon dates associated with woody material within the sediment cores; morphological information identifying tree species found buried in-situ throughout the county; visible, near-infrared, and X-Ray Fluorescence (XRF) information associated with each core; and a data dictionary for the previous information.

Tags: anne-arundel, carbon-14-analysis, faunal-and-floral-census-microscopic, geoscientificinformation, ground-penetrating-radar, maryland, morphology-biological, physiographic-features, sedimentation, upper-chesapeake-bay, usgs-63d7f443d34e5158f0cc75f8, x-ray-fluorescence
Organization: Department of the Interior
Basin Characteristic Flow-Conditioned Parameter Grids for Wyoming StreamStats

This dataset was produced by the U.S. Geological Survey (USGS) in cooperation with the Wyoming Water Development Office for the purpose of calculating basin characteristics in preparation for the Wyoming StreamStats application. These datasets are raster representations of various environmental, geological, and land use attributes with the Wyoming StreamStats study area and will be served in the Wyoming StreamStats application to describe delineated watersheds. The StreamStats application provides access to spatial analytical tools that are useful for water-resources planning and management, and for engineering and design purposes. The map-based user interface can be used to delineate drainage areas, get basin characteristics and estimates of flow statistics. To aid in parameterization of mechanistic, statistical, and machine learning models of hydrologic systems in the Wyoming StreamStats study area, flow-conditioned parameter grids (FCPGs) have been generated describing upstream basin elevation, slope, level III and IV ecoregion codes, hydrologic regions, land cover classification, waterbodies, first of the month snow water equivalent (Jan-Jun), soil type, average soil permeability, evapotranspiration Spring and Summer, and modeled 30-year normal climatologies of average annual total precipitation, average monthly total precipitation, average annual daily mean temperature, and average monthly daily mean temperature values within the Wyoming StreamStats study area.

Tags: digital-elevation-models, elevation, environment, geoscientificinformation, geospatial-datasets, hydrology, land-use-and-land-cover, runoff, usgs-63d7d0d2d34e5158f0cc74c4
Organization: Department of the Interior
West Lake Boudreaux Shoreline Protection and Marsh Creation (TE-46): 2021 land-water classification

The Louisiana State Legislature created the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the West Lake Boudreaux Shoreline Protection and Marsh Creation (TE-46) project for 2021. This data is used as a basemap land-water classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within their project boundary. To better evaluate the effectiveness of restoration efforts, a land-water classification is performed on specific CWPPRA sites to help assess landscape changes.

Tags: aerial-photography, conservation, cwppra, digital-elevation-models, ecosystem-monitoring, environment, geographic-information-systems, gulf-of-america-gulf-of-mexico, image-collections, image-mosaics, louisiana, louisiana-coastal, remote-sensing, te-46, united-states-of-america, usgs-63dab9f0d34e9fa19a988b19, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Metabarcode sequencing of aquatic environmental DNA from the Potomac River Watershed, 2015-2020

Biological indicator taxa have long been used for integrative assessments of water quality, particularly benthic invertebrate groups such as arthropods. While standardized protocols have been developed to calculate 'biological index' scores based on the abundances of these taxa, such systems are challenging to implement at large scales due to the sampling effort required, taxonomic expertise needed, and the need for repeated sampling to reliably discriminate sites. Many of the same taxa detected by traditional surveys can also be detected by genetic analysis of environmental DNA (eDNA), potentially allowing for an alternative formulation of biological indexes that might be faster and more economical to produce. The current data were produced to evaluate eDNA-derived biological indexes at sites within the Potomac River watershed of the eastern United States, specifically within units of the National Park Service for which previous biological assessment data were available. 
This data release consists of five files:
1. sample.metadata.txt, which contains sampling metadata and identifiers linking to sample-derived sequence data that has been deposited in the Sequence Read Archive of the National Center for Biotechnology Information (NCBI). This database is authoritative and comprehensive for sharing high-throughput sequence data  produced with public funds. All accessions listed in the file can be searched to retrieve sample and sequence information at www.ncbi.nlm.nih.gov.
2. cox1.references.fasta, which contains reference sequences of the cytochrome c oxidase 1gene of arthropods (typically abbreviated cox1 or COI), identified from regional checklists. The file is a text file in FASTA format.
3. mt16S.references.fasta, which contains reference sequences of the mitochondrial 16S ribosomal RNA (mt16S) gene of arthropods identified from regional checklists. The file is a text file in FASTA format.
4. first.stage.counts.txt, which is a tab-delimited table of counts of sequences that are attributed to each taxon from each sample for the first stage of the study. Whether the taxon attribution is from the mt16S or cox1 locus is also indicated.
5. second.stage.counts.txt, which is a tab-delimited table of counts of sequences that are attributed to each taxon from each sample for the second stage of the study. Whether the taxon attribution is from the mt16S or cox1 locus is also indicated.

Tags: antietam-national-battlefield, arthropods, biota, catoctin-mountain-park, chesapeake-and-ohio-canal-national-historical-park, environmental-assessment, environmental-dna, genetics, george-washington-memorial-parkway, harpers-ferry-national-historical-park, manassas-national-battlefield, monocacy-national-battlefield, oxon-run, potomac-river, prince-william-forest-park, rock-creek-park, usgs-63d4559ed34e5158f0c9f345
Organization: Department of the Interior