AndreaBozzo/ceres-open-data-index huggingface dataset:
Data Release for Laboratory and field comparisons of TFM bar formulations used to treat small streams for larval sea lamprey

The dataset was generated to verify the suitability of the new TFM bar formulation for wide-scale use in the Sea Lamprey Control Program (SLCP). Dataset includes TFM concentrations of three streams (each used twice) where randomized experimental applications of new and old TFM bar formulation dissolution trials were conducted, TFM concentrations of 12 laboratory flume experimental applications of new and old TFM bar formulation dissolution trials, various collected water chemistry parameters, % Active ingredient data from both new and old TFM bar formulation under normal storage and elevated temperature storage conditions, and bar hardness data from both new and old TFM bar formulation under normal storage and elevated temperature storage conditions.

Tags: biota, lampricide-tfm-bar-sea-lamprey-invasive-species, usgs-639115d7d34e0de3a1ef8358
Organization: Department of the Interior
USGS/Uzbek GOSCOMGEOLOGY/GeoMark potential source rock lab analysis results, 2021-2022

This dataset is associated with potential source rock samples collected from Uzbekistan.  Borehole core samples, as well as outcrop samples, were collected by Uzbek GOSCOMGeology and the USGS in 2021 and 2022.  Samples were sent to GeoMark Source Rock Lab for Leco total organic carbon content and HAWK pyrolysis analysis. Analysis results include percent carbonate (wt%), Leco TOC (wt%), and HAWK pyrolysis results (S1, S2, S3, Tmax, HI, OI, S2/S3 Conc., S1/TOC oil content, and Production Index).

Tags: bukhara, energy-resources, geoscientificinformation, jizzak, natural-gas-resources, navoiy, oil-resources, qashqadaryo, samarkand, shale-gas-resources, shale-oil-resources, usgs-6390c53fd34ed907bf7e3ae3, uzbekistan, zerki-field
Organization: Department of the Interior
A geodatabase representing a compilation of Cadwell, D.H., and others, 1991, Surficial Geology of New York; New York State Museum Map and Chart Series 40, scale 1:250,000, 5 sheets.

This Scientific Data Release is a spatial geodatabase representation of a compilation of Cadwell, D.H., Connally, G.G., Fleisher, P.J., Muller, E.H., 1988, Surficial geologic map of New York; Niagara sheet: New York State Museum Map and Chart Series 40, scale 1:250,000, 5 sheets.,
Muller, E.H., Cadwell, D.H., Connally, G.G., Young, R.A., 1986, Surficial geologic map of New York; Finger Lakes sheet: New York State Museum Map and Chart Series 40, scale 1:250,000, 5 sheets.,
Cadwell, D.H., et al., 1991, Surficial geologic map of New York; Adirondack sheet: New York State Museum Map and Chart Series 40, scale 1:250,000, 5 sheets.,
Cadwell, D.H., Dineen, R.J., Connally, G.G., Fleisher, P.J., and Rich, J.L., 1987, Surficial geologic map of New York; Hudson-Mohawk sheet: New York State Museum Map and Chart Series 40, scale 1:250,000, 5 sheets.,
Cadwell, D.H., Connally, G.G., Dineen, R.J., Fleisher, P.J., Fuller, M.L., Les Sirkin, M.L., and Wiles, G.C., 1989, Surficial geologic map of New York; Lower Hudson sheet: New York State Museum Map and Chart Series 40, scale 1:250,000, 5 sheets. These geospatial data depict surficial geologic materials in 5 regions of New York: Niagara, Finger Lakes, Adirondack, Hudson-Mohawk, and Lower Hudson. The data are provided on the New York State Museum webpage as shape files which were imported to ArcGIS Pro. Data and geodatabase organization meet Geologic Map Schema (GeMS) and National Geologic Synthesis (NGS) standards.

Tags: adirondack, finger-lakes, geology, hudson-mohawk, lower-hudson, new-york, niagara, surficial-geologic-units, united-states, usa, usgs-6390afa2d34ed907bf7e14b1
Organization: Department of the Interior
Global Mountains K3)

A new, high-resolution (250 m) map of global mountains derived from terrain characteristics. This new 250-m resource documents a larger global mountain extent than previous characterizations, although it excludes plateaus, hilly forelands, and other landforms that are often considered part of mountain areas. This resource was developed by the U.S. Geological Survey (USGS), in partnership with Esri, the Center for Development and Environment of the University of Bern (CDE), the Global Mountain Biodiversity Assessment (GMBA), and the Mountain Research Initiative (MRI).

Tags: mountains, usgs-638fbf72d34ed907bf7d3080
Organization: Department of the Interior
Airborne Survey of Gas Emissions from Volcanoes in the Cook Inlet and Northern Alaska Peninsula, 2021

On 16 July 2021, measurements were made of the volcanic gases emitted from Iliamna Volcano, Mount Douglas, Mount Martin, and Mount Mageik (Alaska, USA) from aboard a fixed-wing aircraft. Two zenith-facing differential optical absorption spectrometers were used to measure incident scattered solar ultraviolet radiation while traversing beneath the gas plumes on multiple occasions. These data were used to derive volcanic SO2 column densities and emission rates. In addition to the remote sensing payload, two in situ instruments were used to make measurements of trace gas concentrations while on flight paths through the volcanic plumes: a USGS multi-GAS (multiple Gas Analyzer System; Werner et al., 2017) analyzer for H2O-CO2-SO2-H2S, and an Off-Axis Integrated Cavity Output Spectroscopy (OA-ICOS) instrument manufactured by Los Gatos Research, Inc., for H2O-HCl-HF. The CO2, SO2, and H2S sensors were calibrated five times in-flight at ambient pressures from 804-686 hPa (~1800-3000 m altitude) using standard gases stored in 25-liter capacity tedlar bags (CO2 = 448 ppm, SO2 = 2.1 ppm, H2S, = 2.0 ppm; all gases certified at ±2% accuracy). The H2O/CO2 analyzer’s baseline response was checked using small soda lime and anhydrite cartridges to remove H2O and CO2 from ambient air, and the sulfur sensors’ baselines were derived from their responses while sampling clean ambient air. In situ gas compositions were recorded at 1-second time resolution, while radiance spectra were acquired with variable integration times depending on illumination conditions and ranging from 1 to 3 seconds. Each spectrum and gas measurement was stamped with the GPS time and location. Each spectrum was saved in a separate ASCII file which includes 1024 radiances measured in the 265 - 403 nm spectral region and metadata associated with each acquisition. The in situ measurements are saved in a spreadsheet in the *.csv format.

Tags: doas, geochemistry, iliamna-volcano, mount-douglas, mount-mageik, mount-martin, multi-gas, spectroscopy, usgs-638f9cbfd34ed907bf7ceac9, volcanology
Organization: Department of the Interior
Aqueous and solid phase geochemistry of water and mineral precipitates from draining adits in California and Colorado

This dataset is a compilation of samples collected from draining mine adits, including water and mineral precipitates, from several mines in California and Colorado. The Golinsky, Copper Bluff, and Afterthought Mines (located in northern California) and the Gold King mine (located in southern Colorado) have historically operated to recover metals including copper, lead, zinc, gold, silver and other resources (Albers and Robertson, 1961; USGS, 2005; USEPA, 2015).  Data reported include field parameters, water chemistry, solid phase mineralogy and solid phase chemistry. Water samples collected from the four mine sites in 2019 were analyzed for unfiltered and filtered (0.1-0.45 micrometer) major and trace elements and iron oxidation state. At the Gold King Mine, water samples were collected at a draining adit and along a pipeline conveying water to a treatment plant. A small number of additional samples were collected from mine features near the Gold King Mine, including the Red and Bonita and Mogul Mines, as well as the American Tunnel. When available, solid samples were concurrently collected with the water samples and analyzed for bulk mineralogy and chemical composition.
References: 
Albers, J.P., and Robertson, J.F., 1961, Geology and Ore Deposits of East Shasta Copper-Zinc District Shasta County, California: U.S. Geological Survey Professional Paper 338.  [Also available at https://doi.org/10.3133/pp338.]
U.S. Environmental Protection Agency, 2015, Gold King Mine - Watershed Fact Sheet: U.S. Environmental Protection Agency Fact Sheet 2015-08, accessed December 14, 2022, at https://www.epa.gov/sites/default/files/2015-08/documents/goldkingminewatershedfactsheetbackground.pdf.
U.S. Geological Survey, 2005, Mineral Resources Data System: U.S. Geological Survey, Reston, Virginia.

Tags: abandoned-mines-and-quarries, afterthought-mine, biota, california, colorado, copper-bluff-mine, earth-sciences, environment, geochemistry, geology, geology-geophysics-and-geochemistry-science-center, gggsc, gold-king-mine, golinsky-mine, groundwater-and-surface-water-interaction, inland-waters, mine-drainage, mineral-resources-program, mineralogy, mrp, oxidation-and-reduction, u-s-geological-survey, usgs, usgs-638f6cc9d34ed907bf7cc3c1, water-chemistry, water-quality, x-ray-diffraction
Organization: Department of the Interior
Aeolian mass flux data for the Colorado Plateau

These data were compiled to measure airborne horizontal mass flux of sediments moved by wind across soils, climates, vegetation types, and land uses on the Colorado Plateau. Objectives of our study were to quantify spatial and temporal patterns in wind erosion and further our understanding of how soil and site setting, climate, and land uses are controlling wind erosion and horizontal mass flux. These data represent seasonal cumulative horizontal mass flux as measured using passive aspirated sediment traps, Big Spring Number Eight (BSNE) samplers. These data were collected in Grand and San Juan counties, Utah, and Mesa County, Colorado, USA between August 2017 and November 2020. These data were collected by the U.S. Geological Survey, Southwest Biological Science Center - Moab, UT, Research Station staff through field visits, that included physically collecting the sediment samples and processing them in the laboratory three times per year. These data can be used to represent the horizontal mass flux of the sampled plots averaged over the seasonal time steps of sampling, for the date ranges represented.

Tags: atmospheric-deposition-chemical-amp-particulate, bears-ears-national-monument, big-springs-number-eight-samplers, biogegraphy, canyonlands-national-park, colorado-plateau, data-release, disturbance, droughts, drylands, dust, energy-development, environment, field-sampling, geolocation-measurement, geoscientificinformation, gps-measurement, grand-county, grazing, habitat-alteration-and-disturbance, horizontal-mass-flux, laboratory-methods, land-use-and-land-cover, livestock, moab, oil-and-gas, plot-sampling, san-juan-county, seasonal-data, sediment-processing, sediment-transport, sedimentation, sediments, southwestern-united-states, spatial-analysis, spatial-data, spatial-patterns, temporal-data, temporal-patterns, unconsolidated-deposits, usgs-638f657dd34ed907bf7cb46f, utah, utilitiescommunication, wind-erosion
Organization: Department of the Interior
A national harmonized dataset of discrete chlorophyll from lakes and streams (2005-2022)

&lt;p&gt;This data release contains a 17-year record (2005-2022) of discrete chlorophyll data from inland waters, collected from across the nation and territories. These data are from discrete samples (collected in the field and analyzed in the laboratory) from plankton (suspended algae) and periphyton (benthic algae) from lakes, streams, rivers, reservoirs, canals, and other sites. These data are gathered to support process and remote sensing modeling and prediction of Harmful Algal Blooms (HABs). The chlorophyll data were compiled from the Water Quality Portal (WQP) and USGS National Water Quality Lab (NWQL). 
&lt;br/&gt;
&lt;br/&gt;
Data for uncorrected chlorophyll a, corrected chlorophyll a, and pheophytin from EPA Methods 445 and 446 are included and reported, following the conventions of EPA section 445:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;b&gt;12.1 uncorrected chlorophyll a&lt;/b&gt; – based on the initial optical measurement of the sample, which includes both chlorophyll a and pheophytin&lt;/li&gt;
&lt;li&gt;&lt;b&gt;12.2 corrected chlorophyll a&lt;/b&gt; – based on optical measurement after acidification and calculation to estimate the amount of active chlorophyll in the original sample&lt;/li&gt;
&lt;li&gt;&lt;b&gt;12.3 pheophytin&lt;/b&gt; – based on calculations to estimate the amount of pheophytin in the original sample&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;These data were harmonized for reporting units (plankton as µg/L and periphyton as mg/m2), duplicate values, collection depth, site type, negative values, and some extreme values. HABs events are associated with high values of chlorophyll, as algae may be concentrated in dense surface scums. These data may include an indicator for hydrologic event code, which may be helpful in determining HABs events.
&lt;br/&gt;&lt;br/&gt;&lt;/p&gt;
&lt;h4&gt;Acknowledgements&lt;/h4&gt;
&lt;p&gt;
This work was completed as part of two projects in the USGS Water Mission Area (WMA) Water Quality Processes Program: (1) the Improved Understanding and Prediction of Prioritized Constituents Project, an effort to advance datasets and understanding of chlorophyll, nutrient, carbon, and sediment occurrence and transport, and (2) the Proxies Project, an effort to develop estimation methods for PFAS, harmful algal blooms, and metals, at multiple spatial and temporal scales.
&lt;br/&gt;
&lt;br/&gt;
Arar, E.J. and Collins, G.B. 1997. Method 445.0: In vitro determination of chlorophyll a and pheophytin a in marine and freshwater algae by fluorescence. EPA Office of Research and Development.&lt;/p&gt;

Tags: chlorophyll-a, discrete-samples, lake, periphyton, phaeophytin, pheophytin, pipeline, plankton, raw-chlorophyll, river, stream, uncorrected-chlorophyll, usgs-638f5472d34ed907bf7c8f23, water-quality-portal
Organization: Department of the Interior
Streamflow statistics for selected streamgages in and near Wyoming through water year 2021

The U.S. Geological Survey (USGS), in cooperation with the Wyoming Water Development Office, developed streamflow statistics for active (through September 30, 2021) and discontinued USGS streamgages in and near Wyoming with 10 or more years of daily mean streamflow record. The computation of streamflow statistics for USGS streamgages is part of a larger study to develop a StreamStats application (www.usgs.gov/streamstats) for the State of Wyoming (https://www.usgs.gov/centers/wyoming-montana-water-science-center/science/wyoming-streamstats). StreamStats  is a web-based computer program that can be used to delineate drainage areas, determine basin characteristics, and compute streamflow statistics at locations with and without streamgages (https://streamstats.usgs.gov/ss/; Ries and others, 2024). Streamflow at each streamgage was assessed for degree of human alteration owing to dams and diversions before streamflow statistics were computed. Streamflow records from 631 streamgage periods of record were used to compute basic, seasonal, and flow-duration statistics; records for 390 streamgage periods of record were used to compute n-day statistics and statistics that can be used for regional regression. Methods used to compute the summary statistics contained in this data release are described in an accompanying report (Armstrong and others, 2025).

Tags: colorado, flow-duration, hydrology, idaho, low-streamflow, mean-streamflow, montana, nebraska, north-america, north-dakota, peak-streamflow, regression, south-dakota, statistics, streamflow-statistics, united-states, usgs-638eb600d34ed907bf7bc997, utah, wyoming
Organization: Department of the Interior
Streamflow statistics for selected streamgages in and near Wyoming through water year 2021

This child item includes daily mean streamflow data obtained from the U.S. Geological Survey (USGS) National Water Information System database (https://doi.org/10.5066/F7P55KJN) and subsequently used in the computation of streamflow statistics. Daily mean streamflow data for some streamgages were removed from the analyses if the daily streamflows were determined to be incorrect, estimated, or had other problems. Streamflow at each streamgage was assessed for degree of human alteration owing to dams and diversions before streamflow statistics were computed. Methods used to remove daily mean streamflows, assess alteration, and compute the summary statistics contained in this data release are described in an accompanying report (Armstrong and others, 2025). 
Daily mean streamflow data for the period of record at each USGS streamgage used in the analyses are grouped into 15 folders organized by the 4-digit hydrologic unit code (HUC; https://water.usgs.gov/GIS/huc.html) in which the streamgage is located. The content of these folders is described in this metadata file. A table describing characteristics of the streamgages used in the analyses is provided in text file "AtSite_Table1_StreamgageSummary.txt."

Tags: colorado, flow-duration, hydrology, idaho, low-streamflow, mean-streamflow, montana, nebraska, north-america, north-dakota, peak-streamflow, regression, south-dakota, statistics, streamflow-statistics, united-states, usgs-638eb516d34ed907bf7bc994, utah, wyoming
Organization: Department of the Interior
Seepage-run discharge measurements, August 11, 2022, Honokōwai Stream, Maui, Hawai'i

This data release contains a comma-delimited ascii file of seven same-day, discrete discharge measurements made at sites along selected reaches of Honokōwai Stream, Maui, Hawai'i on August 11, 2022. These discrete discharge measurements form what is commonly referred to as a “seepage run.” The intent of the seepage run is to quantify the spatial distribution of streamflow along the reach during fair-weather, low-flow conditions, generally characterized by negligible direct runoff within the reach. The measurements can be used to characterize the net seepage of water into (water gain) or out of (water loss) the stream channel between measurement sites provided that the measurements were made during stable, nonchanging flow conditions (or, in some cases, were made simultaneously during transient flow conditions) and external surface inflows (for example, a tributary) or outflows (for example, a diversion) of water to the reach are quantified and accounted for in the computation of net seepage.

Tags: honokwai-stream, hydrologic-datasets, hydrology, inlandwaters, maui, river-reaches, state-of-hawaii, stream-gage-measurement, streamflow, surface-water-non-marine, usgs-6397efe2d34e0de3a1f0d14f, water-resources
Organization: Department of the Interior
Pedestrian evacuation time maps, flow depth time series, and population estimates for the island of Guam tsunami evacuation zone

These datasets support the conclusions in the journal article entitled "Modeling non-structural strategies to reduce pedestrian evacuation times for mitigating local tsunami threats in Guam" as described in the abstract below: Reducing the potential for loss of life from local tsunamis is challenging for emergency managers given the need for self-protective behavior within brief windows of time for at-risk individuals to evacuate. There has been considerable attention paid to discussing the construction of tsunami vertical-evacuation structures for areas where there is insufficient time to evacuate. This strategy may not be feasible for at-risk populations in island communities for multiple reasons. We examine the influence of three non-structural interventions (reducing departure delays, increasing travel speeds, and managing vegetation to create new paths) that may improve the evacuation potential for at-risk individuals in island communities and use the US territory of Guam as our case study. We model pedestrian travel times out of a modeled inundation zone for a local tsunami generated by a Mw 8.3 earthquake within the Mariana subduction zone. Evacuation-modeling results indicate that reducing departure delays has a larger impact than increasing travel speeds or creating evacuation corridors through heavy brush on reducing the number of at-risk individuals with insufficient time to evacuate. Travel times to safety are shorter than lead times of expected wave arrivals for all at-risk individuals in the tsunami-hazard zone if one assumes all three interventions are implemented.

Tags: evacuation, modeling, pedestrian, tsunamis, usgs-638e5260d34ed907bf7bc838, vulnerability
Organization: Department of the Interior
Model Archive: Water Quality and Estimated Changes in the Plum Creek Watershed 2010-2020

This section of the data release supports an archive of the models used in the associated publication. The U.S. Geological Survey and the University of Wisconsin – Green Bay collected hydrologic and water-quality data to assess the effectiveness of agricultural conservation management practice (CMP) implementation at Mainstem Plum Creek and West Plum Creek in northeastern Wisconsin. Monitoring data from 2010–2020 at Mainstem Plum and 2013–2020 at West Plum were used to detect changes in hydrologic and water-quality responses during runoff events. Runoff events were defined by hydrographers and used to compute event loads and event flow-weighted mean concentrations of total phosphorus and total suspended solids – all of which are included in the associated data release. Additionally, changes in these parameters were assessed between two time periods (“initial” and “post-CMP implementation”) using the models included in this model archive. Because event discharges, loads, and concentrations are influenced by factors such as weather and the conditions preceding events, random-forest and regression models were developed to control for these factors and to elucidate water-quality changes more directly associated with CMP implementation. Residuals from random-forest models were used to detect changes between the two time periods via Wilcoxon signed-rank tests, and multiple linear regression models were used to determine percent change in responses via time-period dummy variable coefficients. Results indicate statistically insignificant changes in most responses during runoff events.

Tags: agriculture, erosion, lake-michigan, nutrient-content-water, precipitation-atmospheric, stream-discharge, surface-water-quality, suspended-material-water, usgs-638e0322d34ed907bf7bc722, wisconsin
Organization: Department of the Interior
Data Release: Water Quality and Estimated Changes in the Plum Creek Watershed 2010-2020

This section of the data release supports the data used in models for the associated publication. The U.S. Geological Survey and the University of Wisconsin – Green Bay collected hydrologic and water-quality data to assess the effectiveness of agricultural conservation management practice (CMP) implementation at Mainstem Plum Creek (USGS site ID: 04084911) and West Plum Creek (USGS site ID: 04084927) in northeastern Wisconsin. Monitoring data from 2010–2020 at Mainstem Plum and 2013–2020 at West Plum were used to detect changes in hydrologic and water-quality responses during runoff events. Runoff events were defined by hydrographers and used to compute event loads and event flow-weighted mean concentrations of total phosphorus and total suspended solids – all of which are included in this data release. The data included in this  release serve as model inputs for the associated model archive. Models in the associated archive were used to assess changes in water quality between two time periods (“initial” and “post-CMP implementation”) while controlling for environmental factors, such as weather and the conditions preceding events to elucidate water-quality changes more directly associated with CMP implementation.

Tags: agriculture, erosion, lake-michigan, nutrient-content-water, precipitation-atmospheric, stream-discharge, surface-water-quality, suspended-material-water, usgs-638dfea6d34ed907bf7bc71a, wisconsin
Organization: Department of the Interior