AndreaBozzo/ceres-open-data-index huggingface dataset:
Hourly air temperature in degrees Fahrenheit and associated three-digit data-source flag, January 1, 1948 - September 30, 2021

The text file "Air temperature.txt" contains hourly air temperature data in degrees Fahrenheit and associated data-source flags from January 1, 1948, to September 30, 2021. The primary data for water year 2021 (a water year is the 12-month period, October 1 through September 30, designated by the calendar year in which it ends) were downloaded from the Argonne National Laboratory (ANL) (Argonne National Laboratory, 2022) and they were processed following the guidelines documented in Over and others (2010). The processed data were appended to ARGN20.WDM (Bera, 2021) and renamed as ARGN21.WDM. Missing and apparently erroneous data values were replaced with adjusted values from nearby weather stations used as “backup”. The Illinois Climate Network (Water and Atmospheric Resources Monitoring Program, 2022) station at St. Charles, Illinois, was used as "backup." Each data source flag is of the form "xyz", which allows the user to determine its source and the methods used to process the data (Over and others, 2010).
References Cited:
Argonne National Laboratory, 2022, Meteorological data, accessed on January 17, 2022, at https://www.atmos.anl.gov/ANLMET/numeric/.
Bera, M., 2021, Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2020: U.S. Geological Survey data release, https://doi.org/10.5066/P9GP8COF.
Over, T.M., Price, T.H., and Ishii, A.L., 2010, Development and analysis of a meteorological database, Argonne National Laboratory, Illinois: U.S. Geological Survey Open-File Report 2010-1220, 67 p., http://pubs.usgs.gov/of/2010/1220/.
Water and Atmospheric Resources Monitoring Program. Illinois Climate Network, 2022. Illinois State Water Survey, 2204 Griffith Drive, Champaign, IL 61820-7495. Data accessed on January 4, 2022, at http://dx.doi.org/10.13012/J8MW2F2Q.

Tags: air-temperature, argonne-national-laboratory-illinois, data-source-flag, dekalb-illinois, dupage-county-illinois, flood-forecasting, hydrology, ohare-international-airport-illinois, runoff, st-charles-illinois, usgs-626069a3d34e85fa62b8918c
Organization: Department of the Interior
Model parameter input files to compare the influence of coral reef carbonate budgets on alongshore variations in wave-driven total water levels on Buck Island Reef National Monument

A set of physics-based XBeach Non-hydrostatic hydrodynamic model simulations (with input files here included) were used to evaluate how varying carbonate budgets, and thus coral reef accretion and degradation, affect alongshore variations in wave-driven water levels along the adjacent shoreline of Buck Island Reef National Monument (BUIS) for a number of sea-level rise scenarios, specifically during extreme wave conditions when the risk for coastal flooding and the resulting impact to coastal communities is greatest.
These input files accompany the modeling conducted for the following publication: Toth, L.T., Storlazzi, C.D., Kuffner, I.B., Quataert, E., Reyns, J., McCall, R.T., Stathakopoulos, A., Hillis-Starr, Z., Holloway, N.H., Ewen, K.A., Pollock, C.G., Code, T., and Aronson, R.B., 2023, The potential for coral reef restoration to mitigate coastal flooding as sea levels rise: Nature Communications, v. 14, https://doi.org/10.1038/s41467-023-37858-2.

Tags: bathymetry-and-elevation, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, coral-reefs, geoscientificinformation, hazards, numerical-modeling, oceans, pacific-coastal-and-marine-science-center, pcmsc, reef, u-s-geological-survey, usgs, usgs-6261bcf5d34e85fa62b9872c, water-circulation, waves
Organization: Department of the Interior
Hourly computed potential evapotranspiration in thousandths of an inch, January 1, 1948 - September 30, 2021

The text file "PET.txt" contains hourly potential evapotranspiration (PET) data, in thousandths of an inch, from January 1, 1948, to September 30, 2021. Daily PET were computed from average daily air temperature, average daily dewpoint temperature, daily total wind speed, and daily total solar radiation and disaggregated to hourly PET, using the Fortran program LXPET (Murphy, 2005). The primary source of the data is Argonne National Laboratory (Argonne National Laboratory, 2022), and data processing followed the guidelines documented in Over and others (2010).
References Cited:
Argonne National Laboratory, 2022, Meteorological data, accessed on January 17, 2022, at https://www.atmos.anl.gov/ANLMET/numeric/.
Murphy, E.A., 2005, Comparison of potential evapotranspiration calculated by the LXPET (Lamoreux Potential Evapotranspiration) Program and by the WDMUtil (Watershed Data Management Utility) Program: U.S. Geological Survey Open-File Report 2005-1020, 20 p., https://pubs.er.usgs.gov/publication/ofr20051020.
Over, T.M., Price, T.H., and Ishii, A.L., 2010, Development and analysis of a meteorological database, Argonne National Laboratory, Illinois: U.S. Geological Survey Open-File Report 2010-1220, 67 p., http://pubs.usgs.gov/of/2010/1220/.

Tags: argonne-national-laboratory-illinois, dekalb-illinois, dupage-county-illinois, ohare-international-airport-illinois, potential-evapotranspiration, st-charles-illinois, usgs-626069fdd34e85fa62b89197
Organization: Department of the Interior
Hourly dewpoint temperature in degrees Fahrenheit and associated three-digit data-source flag, January 1, 1948 - September 30, 2021

The text file "Dewpoint temperature.txt" contains hourly dewpoint temperature data in degrees Fahrenheit and associated data-source flags from January 1, 1948, to September 30, 2021. The primary data for water year 2021 (a water year is the 12-month period, October 1 through September 30, designated by the calendar year in which it ends) were downloaded from the Argonne National Laboratory (ANL) (Argonne National Laboratory, 2022) and they were processed following the guidelines documented in Over and others (2010). The processed data were appended to ARGN20.WDM (Bera, 2021) and renamed as ARGN21.WDM. Missing and apparently erroneous data values were replaced with adjusted values from nearby weather stations used as "backup." The Midwestern Regional Climate Center (Midwestern Regional Climate Center, 2022) provided the hourly dewpoint temperature data collected by the National Weather Service from the station at O'Hare International Airport and was used as "backup." Each data source flag is of the form "xyz", which allows the user to determine its source and the methods used to process the data (Over and others, 2010). 
References Cited:
Argonne National Laboratory, 2022, Meteorological data, accessed on January 17, 2022, at https://www.atmos.anl.gov/ANLMET/numeric/.
Bera, M., 2021, Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2020: U.S. Geological Survey data release, https://doi.org/10.5066/P9GP8COF.
Midwestern Regional Climate Center, 2022, Meteorological data, accessed on March 2, 2022, at https://mrcc.purdue.edu/CLIMATE/.
Over, T.M., Price, T.H., and Ishii, A.L., 2010, Development and analysis of a meteorological database, Argonne National Laboratory, Illinois: U.S. Geological Survey Open-File Report 2010-1220, 67 p., http://pubs.usgs.gov/of/2010/1220/.

Tags: argonne-national-laboratory-illinois, data-source-flag, dekalb-illinois, dewpoint-temperature, dupage-county-illinois, flood-forecasting, hydrology, ohare-international-airport-illinois, runoff, st-charles-illinois, usgs-62606a20d34e85fa62b89199
Organization: Department of the Interior
Hourly solar radiation in Langleys and associated three-digit data-source flag, January 1, 1948 - September 30, 2021

The text file "Solar radiation.txt" contains hourly solar radiation data in Langleys and associated data-source flags from January 1, 1948, to September 30, 2021. The primary data for water year 2021 (a water year is the 12-month period, October 1 through September 30, designated by the calendar year in which it ends) were downloaded from the Argonne National Laboratory (ANL) (Argonne National Laboratory, 2022) and processed following the guidelines documented in Over and others (2010). The processed data were appended to ARGN20.WDM (Bera and Over, 2021) and renamed as ARGN21.WDM. Missing and apparently erroneous data values were replaced with adjusted values from nearby weather stations used as "backup." Temporal variations in the statistical properties of the data resulting from changes in measurement and data storage methodologies were adjusted to match the statistical properties resulting from the data collection procedures that have been in place since January 1, 1989 (Over and others, 2010). The adjustments were computed based on the regressions between the primary data series from ANL and the backup series using data obtained during common periods. The statistical properties of the regressions were used to assign estimated standard errors to values that were adjusted or filled from other series. The Illinois Climate Network (Water and Atmospheric Resources Monitoring Program, 2022) stations at St. Charles and DeKalb, Illinois, were used as "backup." Each data source flag is of the form "xyz", which allows the user to determine its source and the methods used to process the data (Over and others, 2010).
References Cited:
Argonne National Laboratory, 2022, Meteorological data, accessed on January 17, 2022, at https://www.atmos.anl.gov/ANLMET/numeric/.
Bera, M., 2021, Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2020: U.S. Geological Survey data release, https://doi.org/10.5066/P9GP8COF.
Over, T.M., Price, T.H., and Ishii, A.L., 2010, Development and analysis of a meteorological database, Argonne National Laboratory, Illinois: U.S. Geological Survey Open-File Report 2010-1220, 67 p., http://pubs.usgs.gov/of/2010/1220/.
Water and Atmospheric Resources Monitoring Program. Illinois Climate Network, 2022. Illinois State Water Survey, 2204 Griffith Drive, Champaign, IL 61820-7495. Data accessed on January 4, 2022, at http://dx.doi.org/10.13012/J8MW2F2Q.

Tags: argonne-national-laboratory-illinois, data-source-flag, dekalb-illinois, dupage-county-illinois, flood-forecasting, hydrology, ohare-international-airport-illinois, runoff, solar-radiation, st-charles-illinois, usgs-62606a47d34e85fa62b8919b
Organization: Department of the Interior
Baseline fish health metrics in at-risk habitats critical for pallid sturgeon (Scaphirhynchus albus) in the Upper Missouri River Basin and bull trout (Salvelinus confluentus) in the Flathead River, Montana, 2017-18

Baseline fish health information on pallid sturgeon and bull trout or appropriate surrogate species (shovelnose sturgeon, cutthroat trout, mountain whitefish) in critical habitats with elevated risks of oil spills.  Shovelnose sturgeon (Scaphirhynchus platorynchus) were collected in three locations near the confluence of the Missouri and Yellowstone Rivers and cutthroat trout (Oncorhynchus clarki lewisi) and mountain whitefish (Prosopium williamsoni) were collected from critical bull trout habitat along the Middle Fork of the Flathead River.  Fish health metrics evaluated included gene expression/enzyme induction in various tissues, differential changes in white blood cells, polycyclic aromatic hydrocarbon bile metabolites, histological changes in gills, metabolic oxidative stress, immune dysfunction, and disruption of endocrine signaling pathways.

Tags: biomarkers, biota, bull-trout, endangered-species, fish-health, flathead-river, missouri-river, montana, north-dakota, oil-spill-preparedness, oil-spills, sturgeon, usgs-626158dfd34e85fa62b985cc, yellowstone-river
Organization: Department of the Interior
Data measuring avian influenza infection, mercury concentration, and body condition in wild waterfowl

These data represent mercury contamination, influenza infection, and body condition in 11 species of dabbling and diving ducks in the Pacific Flyway. These data support a USGS lead scientific publication.

Tags: avian-influenza, biota, body-condition, environmental-contaminant, mercury, usgs-6262f2b0d34e85fa62bb60bc, waterfowl
Organization: Department of the Interior
Quality-Assurance and Quality-Control Data for Discrete Water-Quality Samples Collected in McHenry County, Illinois, 2020

In June and July of 2020, 45 groundwater wells in McHenry County, Illinois, were sampled for water quality (field properties, major ions, nutrients, and trace metals) and 12 wells were sampled for contaminants of emerging concern (pharmaceuticals, pesticides, and wastewater indicator compounds). Quality-assurance and quality-control samples were collected during the June and July 2020 sampling that included equipment blanks, field blanks, and replicates. The results of these samples were used to understand the sources of bias and variability associated with sample collection, processing, storage, and shipping. This data release contains one comma separated values files containing the results of the quality-control sample collection for general water quality (metals, nutrients, and major ions) and contaminants of emerging concern (wastewater indicator compounds and pharmaceuticals). Water-quality data from the associated groundwater monitoring well data are available at the National Water Information System (NWIS) web database (https://doi.org/10.5066/F7P55KJN). Results and discussion of the water quality and contaminants of emerging concern can also be found in the associated scientific investigation report referenced.

Tags: contamination-and-pollution, groundwater-quality, health, illinois, mchenry-county, pharmaceutical-contamination, united-states, usgs-6261691ed34e85fa62b98616, water-quality, water-quality-standards
Organization: Department of the Interior
Submersed Macrophyte Biomass Estimates in Pools 4, 8 and 13 of the Upper Mississippi River, 1998-2018

System-scale restoration efforts within the Upper Mississippi River Restoration Program have included annual monitoring of submersed aquatic vegetation (SAV) since 1998 in four representative reaches spanning approximately 440 river km. We developed predictive models relating monitoring data (site-scale SAV abundance indices) to diver-harvested SAV biomass, used the models to back-estimate annual standing stock biomass between 1998 and 2018 and compared biomass estimates to previous abundance measures. Two morphologically distinct groups of SAV with differing sampling efficiencies were modeled and estimated separately: the first category included only Vallisneria americana which has long, unbranched leaves and dominates lotic environments, while the second category included 17 branched morphology species (e.g. Ceratophyllum demersum and Elodea canadensis) that dominate lentic environments. Two non-native species (Myriophyllum spicatum and Potamogeton crispus)  were included in the branched category for model development but were estimated separately as a fraction of branched species biomass due to a small sample size and a lack of training data.

Tags: biomass, biota, pool-13, pool-4, pool-8, standing-stock, submerged-aquatic-vegetation, submersed-aquatic-macrophyte, submersed-aquatic-vegetation, upper-mississippi-river, usgs-626178edd34e85fa62b9863f
Organization: Department of the Interior
Hydrogeologic Data from the Cahuilla Valley and Terwilliger Valley Groundwater Basins, Riverside County, California, 2022 (ver. 2.0, August 2025)

The U.S. Geological Survey (USGS) entered into a cooperative study with the California Department of Water Resources and the Ramona Band of Cahuilla to characterize the hydrogeology of the Cahuilla Valley and Terwilliger Valley groundwater basins and surrounding water-bearing units, with the ultimate goal of developing a calibrated integrated hydrologic model to manage the groundwater supplies on a sustainable basis.  A three-dimensional geologic framework model (GFM) was developed to quantify the structural geometry and distribution of water-bearing units in the groundwater basins, using borehole lithology and hydraulic information, geologic maps, and gravity-derived depth-to-basement information.  This dataset includes (1) tabular data of selected boreholes with their location and construction information, (2) borehole lithology information, (3) a geographic information systems (GIS) shapefile of a cellular array containing interpolated elevations and thicknesses of modeled geologic units from the GFM in the format of a polygon feature class, (4) and a table of summary textural classes for the alluvial fill unit from borehole logs and summary textural classes used in geologic framework model.

Tags: anza-valley, california, geologic-framework, geoscientificinformation, health, lithology, riverside-county, usgs-62619c70d34e85fa62b98696, utilitiescommunication
Organization: Department of the Interior
Water level data from select depressional wetlands at Saint Marks National Wildlife Refuge: July 2010 - May 2019 (version. 2.0, August 2022)

This USGS Data Release represents geospatial and tabular data for a study investigating linkages between local terrain and wetland hydroperiod and was supported by the U.S. Geological Survey (USGS) Amphibian Research and Monitoring Initiative (ARMI). This dataset contains wetland water level data from Saint Marks National Wildlife Refuge (SMNWR). Data include records of water level and water temperature measurements from select wetlands beginning in July 2010 and ending in 2019. Not all wetlands span this entire period as different phases of studies resulted in different time periods of data collection. Instrumentation included a staff gage and a non-vented continuous logging pressure transducer that logged data at 1-hour intervals. 
The dataset consists of 4 separate items:
1. water level monitoring site Locations (tabular data)
2. wetland perimeters (GIS vector data)
3. water level and water temperature data for 59 select wetlands  (tabular data)
4. revision history text file that describes the changes from the original release to version 2.0. 
In Version 2.0 of this data release, data collected since the initial publication (2016) are being added to the data release to provide a longer record. Additionally, wetland perimeters (polygons) that were not available during the first release are added to version 2.0.

Tags: amphibians, florida, hydroperiod, saint-marks-national-wildlife-refuge, usgs-6261a891d34e85fa62b986dd, wakulla, wetland
Organization: Department of the Interior
Keamuku Maneuver Area random plot vegetation, geology, coordinates 2013

This data release includes data and metadata on 155 vegetation plots that were random stratified across different substrate ages and geological features at Keamuku Maneuver Area (KMA) on Hawaii Island in order to capture vegetation patterns across the landscape in relation to geology and climate. This data set also includes coordinates for the plots and geological data. This data was also used to determine dominant vegetation types across KMA.

Tags: avian-diet, botany, ecology, exotic-grass, forest-restoration, hawaii, hawaii-island, keamuku-maneuver-area, land-use-change, plant-competition, plant-ecology, seed-limitation, seedling-recruitment, tropical-forest-dynamics, usgs-62770382d34e8d45aa6e27f1
Organization: Department of the Interior
Borehole data for pre-Cretaceous basement rocks beneath the Atlantic Coastal Plain, Georgia and South Carolina

Data from 391 boreholes (including coreholes) that penetrated buried pre-Cretaceous basement rocks that lie beneath Atlantic Coastal Plain sedimentary deposits in Georgia and South Carolina were compiled from non-proprietary, mostly published sources in order to support subsurface geologic mapping, geologic interpretation of geophysical data (aeromagnetic, gravity, seismic), topical studies as in geochronology, and applications ranging from mineral, energy, and water resources to earthquake hazards in the Charleston seismic zone. Most of the entries are based on previous literature. In a few cases where noted, drill cores or cuttings were examined for basic geologic observations. Boreholes into bedrock beneath the coastal plain near the Fall Line reveal buried extensions of geologic units exposed in the Piedmont, and those closer to the Atlantic coast provide rare insights into deeply buried rock units that have no surface exposures. Data for each borehole include the state, a unique identifier (Well_ID), any alternate identifier(s) (Alt_ID), borehole name or location, year drilled, land surface elevation in feet, top-of-basement depth in feet, total depth of borehole in feet, top-of-basement elevation in feet, basement penetrated by drilling in feet, depth reference (ground level, Kelly bushing, or derrick floor), lithology code, basement type, quality of lithologic data, description of pre-Cretaceous basement rock, sample (drill core or cuttings), latitude and longitude (NAD27), county or city, and reference citations. The data in comma separated values (.csv) format are accompanied by an explanation (.txt), references (.txt), and metadata (.xml). The data file uses standard abbreviations for mineral names where necessary to save space.

Tags: atlantic-coastal-plain, bedrock-geologic-units, borehole-logging, cambrian, coastal-zones, core-analysis, cretaceous, devonian, drilling-and-coring, elevation, georgia, geoscientific-information, jurassic, ordovician, paleozoic, pennyslvanian, precambrian, radiometric-dating, silurian, south-carolina, southeastern-u-s-coastal-plain, triassic, usgs-62631170d34e85fa62bbb33e
Organization: Department of the Interior
2019-333-FA_sol: Digital Chirp Subbottom Profile Start of Line Data Collected During USGS Field Activity Number 2019-333-FA Offshore of the Rockaway Peninsula, New York, September–October 2019

From September 27 through October 5, 2019, the U.S. Geological Survey (USGS) conducted geophysical surveys to investigate the geologic controls on barrier island evolution and sediment transport offshore of the Rockaway Peninsula, New York. This shapefile represents a point dataset of field activity number (FAN) 2019-333-FA chirp subbottom profile start of trackline locations.

Tags: 2019-333-fa, barrier-island-mapping, chirp, coastal-processes, far-rockaway, geology, geoscientificinformation, geospatial-datasets, location, marine-geology, navigational-data, new-york, north-atlantic, oceans, seismic-reflection, start-of-line-locations, sub-bottom-profiling, usgs-626367a2-13aa-4d99-9000-5e017b5a5f75
Organization: Department of the Interior