AndreaBozzo/ceres-open-data-index huggingface dataset:
Fall 2000 USGS Mid-Atlantic Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such as dune crest, toe and shoreline help define the vulnerability of the beach to storm impacts. This dataset defines the elevation and position of the seaward-most dune crest and toe and the mean high water shoreline derived from the 2000 Atlantic Coast U.S. Geological Survey (USGS), National Aeronautics and Space Administration (NASA), and National Oceanic and Atmospheric Administration (NOAA) Airborne Topographic Mapper (ATM) lidar survey. Beach width is included and is defined as the distance between the dune toe and shoreline along a cross-shore profile. The beach slope is calculated using this beach width and the elevation of the shoreline and dune toe.

Tags: atlantic-ocean, cmgp, coastal-and-marine-geology-program, coastal-processes, delaware, elevation, environment, geoscientificinformation, hazards, marine-geology, maryland, new-jersey, new-york, ocean-sciences, oceans, spcmsc, st-petersburg-coastal-and-marine-science-center, u-s-geological-survey, united-states-of-america, usgs, usgs-62a8927f-4933-4020-a729-791b7a7afaf6, virginia
Organization: Department of the Interior
Streamflow Drought Metrics for Selected United States Geological Survey Streamgages from 1921-2020

This metadata record describes a series of tabular datasets containing metrics used to characterize drought for select United States Geological Survey (USGS) streamgages for the climate years (April 1 – March 31) 1921 to 2020. These streamgages are a subset of those used in Geospatial Attributes of Gages for Evaluating Streamflow, version 2 (GAGES-II, Falcone, 2011) in the conterminous United States (CONUS). These metrics include streamflow percentiles, identified drought events, annual low streamflow, and drought statistics for each event.

Tags: biota, conus, datasets, drought, hydrology, streamflow, usgs-62f463c5d34eacf5397395d9
Organization: Department of the Interior
Estimated low-flow statistics at ungaged stream locations in New Jersey, water year 2021

Estimates of various low-flow statistics were computed at 66 ungaged stream locations throughout New Jersey during the 2021 water year using methods in the published reports, 1) Streamflow characteristics and trends in New Jersey, water years 1897-2003 (Watson and others, 2005) and 2) Implementation of MOVE.1, censored MOVE.1, and piecewise MOVE.1 low-flow regressions with applications at partial-record streamgaging stations in New Jersey (Colarullo and others, 2018). The estimates are computed as needed for use in water resources permitting, assessment, and management by the New Jersey Department of Environmental Protection. The data release includes the stream name, location, drainage area, method of estimation, lowest annual and winter average flows, and the 75 percent flow duration computed during the 2021 water year. The data are provided in plain text file and ArcGIS shapefile formats.
References for publications cited:
- Colarullo, S.J., Sullivan, S.L., and McHugh, A.R., 2018, Implementation of MOVE.1, censored MOVE.1, and piecewise MOVE.1 low-flow regressions with applications at partial-record streamgaging stations in New Jersey: U.S. Geological Survey Open-File Report 2018-1089, 20 p., accessed March 31, 2022, at https://doi.org/10.3133/ofr20181089.
- Watson, K.M., Reiser, R.G., Nieswand, S.P., and Schopp, R.D., 2005, Streamflow characteristics and trends in New Jersey, water years 1897-2003: U.S. Geological Survey Scientific Investigations Report 2005-5105, 131 p., accessed March 31, 2022, at https://doi.org/10.3133/sir20055105.

Tags: estimation, geoscientificinformation, inlandwaters, low-flow-statistics, move-1, streamflow, usgs-62a89b8fd34ec53d2770ec2e
Organization: Department of the Interior
MODFLOW-NWT model used in simulation of groundwater availability in reaches 3 and 4 of the Washita River aquifer, southern Oklahoma, 1980–2017

The U.S. Geological Survey (USGS), in cooperation with the Oklahoma Water Resources Board (OWRB), constructed a finite-difference numerical groundwater-flow model of the Washita River aquifer by using MODFLOW-2005 (Harbaugh, 2005) with the Newton formulation solver (MODFLOW-NWT). The 1973 Oklahoma Groundwater Law requires that the OWRB conduct hydrologic investigations of the State’s aquifers to determine the maximum annual yield (MAY) for each groundwater basin. The MAY is defined as the total amount of fresh groundwater that can be annually withdrawn while allowing a minimum 20-year life of that groundwater basin. For alluvium and terrace groundwater basins, the life requirement is satisfied if, after 20 years of MAY withdrawals, 50 percent of the groundwater basin (hereinafter referred to as an “aquifer”) retains a saturated thickness of at least 5 ft. Once a MAY has been established, the amount of land owned or leased by a groundwater-use permit applicant determines the annual volume of water allocated to that groundwater-use permit applicant. The annual volume of groundwater allocated per acre of land is known as the equal-proportionate-share (EPS) pumping rate. The OWRB issued a final order on November 13, 1990, that established the MAY (81,840 and 46,935 acre-feet per year [acre-ft/yr]) and EPS pumping rate (1.5 and 1.0 acre-foot per acre per year) for reaches 3 and 4, respectively, of the Washita River aquifer in southern Oklahoma. Because more than 20 years have elapsed since the final order was issued, the USGS, in cooperation with the OWRB, conducted an updated hydrologic investigation and evaluated the effects of potential groundwater withdrawals on groundwater flow and availability in the Washita River aquifer in southern Oklahoma. Reach 3 extends from near Anadarko, Okla., to Alex, Okla., and reach 4 extends from near Alex to south of Davis, Okla. Twenty-four simulations are included in this data release: a simulation for the calibrated numerical groundwater-flow model, 18 scenario simulations to evaluate the EPS pumping rate, 4 scenario simulations to evaluate groundwater storage over a 50-year period, and 1 scenario simulation to evaluate effects of a hypothetical drought. This USGS data release contains all of the input and output files for the simulations described in the associated model documentation report (https://doi.org/10.3133/sir20235072).

Tags: caddo-county, environment, garvin-county, geoscientificinformation, grady-county, groundwater, groundwater-and-surface-water-interaction, groundwater-model, inlandwaters, mcclain-county, modeling, modflow, modflow-nwt, murray-county, oklahoma, pest, python, soil-water-balance, usgs-62a8eae4d34ec53d2770eeec, usgsgroundwatermodel, washita-river
Organization: Department of the Interior
Central Valley Hydrologic Model version 2 (CVHM2): Rural Pumping

This digital dataset contains the rural pumping dataset used to develop the Multi Node Well (MNW2) Package in the updated Central Valley Hydrologic Model (CVHM2).  It includes well locations, well properties, and pumping rates for rural pumping.

Tags: california, central-valley, environment, groundwater, groundwater-pumping, rural-pumping, united-states, usgs-62a8eccad34ec53d2770efd8
Organization: Department of the Interior
Predator movements and duck nests in relation to habitat features in Suisun Marsh, CA (2016-2019)

This dataset describes mesopredator locations (raccoons and striped skunks), dabbling duck nest locations (mallard, gadwall, and cinnamon teal), northern harrier nest locations, and random locations in relation to a set of habitat features in Suisun Marsh, California during 2016 through 2019. We designed a series of questions to link fine-scale predator movements and vulnerability of dabbling duck nests to predator encounters and egg predation. We conducted our study over a 4-year period using 41 GPS-collared raccoons and striped skunks, two of the most widespread mammalian predators of waterfowl eggs in North America, and more than 2000 monitored duck nests. Each night of movement for mesopredators contains the distance between successive locations (each unique night of foraging is identified using the julian date on which the night started), which can be added up to obtain an estimate for the distance traveled per night in between day resting sites. The dataset also includes a set of dabbling duck nests and distances to habitat features that were used to examine the probability of a nest being discovered and depredated by a predator. This dataset also includes a set of nests found within the home ranges of the GPS-collared raccoons and skunks that encountered the most duck nests in the core upland nesting area and whether each nest was encountered or not on a given night by a collared animal. These nest encounters were used to examine the probability of encounter by a collared predator in relation to a set of habitat features.

Tags: animal-behavior, biota, california, environment, suisun-marsh, usgs-62a90cf4d34ec53d2770f04e, wetland-ecosystems
Organization: Department of the Interior
CTD profile measurements collected off California and Oregon during NOAA cruise RL-19-05 (USGS field activity 2019-672-FA) from October to November 2019

CTD (Conductivity Temperature Depth) data were collected offshore of California and Oregon from October to November 2019 during NOAA cruise RL-19-05 (USGS field activity 2019-672-FA).
This data release supersedes version 1.0, published in August 2020 at https://doi.org/10.5066/P9ZS1JX8. Versioning details are documented in the accompanying VersionHistory_P9JKYWQU.txt file.

Tags: carbonate-analysis, chemical-oceanography, cmhrp, coastal-and-marine-hazards-and-resources-program, ctd-measurement, environment, geochemistry, geoscientificinformation, marine-chemistry, marine-water-quality, ocean-salinity, ocean-temperature, oceans, pacific-coastal-and-marine-science-center, pcmsc, physical-oceanography, time-series-datasets, u-s-geological-survey, usgs, usgs-62a913c5d34ec53d2770f05b, water-column-features
Organization: Department of the Interior
DESIS and PRISMA spectral library of agricultural crops in California's Central Valley in the 2020 Growing Season

Here we provide information for the DESIS and PRISMA Derived Spectral Library of Agricultural Crops in California which was developed using DESIS and PRISMA hyperspectral data acquired for 2020. The DESIS images used for this dataset are available through the German Aerospace Center and Teledyne Brown (2022). PRISMA images are available through the Italian Space Agency (ASI) (2022). The crop type data and confidence layer for the year 2020 can be accessed through the USDA National Agricultural Statistics Service (2022). The DESIS and PRISMA Derived Spectral Library of Agricultural Crops dataset characteristics are described below, with DESIS and PRISMA data provided in two separate CSV files.
Related Primary Publication:
Aneece, I.P., and Thenkabail, P.S., 2022, New generation hyperspectral sensor (DESIS and PRISMA) performances in
agriculture.

Tags: agriculture, hyperspectral-imaging, remote-sensing, usgs-62a91cc2d34ec53d2770f06d
Organization: Department of the Interior
Data in support of flood-frequency report—Magnitude and Frequency of Floods on Kauaʻi, Oʻahu, Molokaʻi, Maui, and Hawaiʻi, State of Hawaiʻi, Based on Data through Water Year 2020

The U.S. Geological Survey (USGS), in cooperation with the State of Hawaiʻi Department of Transportation, estimated flood magnitudes for the 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEP) for unregulated streamgages in Kauaʻi, Oʻahu, Molokaʻi, Maui, and Hawaiʻi, State of Hawaiʻi, using data through water year 2020. Regression equations which can be used to estimate flood magnitude and associated frequency at ungaged streams were developed. The methods and results of the study are published in a separate report (https://doi.org/10.3133/sir20235014). 
This data release contains data supporting the larger work: (1) PeakFQ inputs and selected outputs for 238 selected streamgages in Hawaiʻi; (2) inputs and outputs for the USGS weighted-multiple-linear regression (WREG) program used to develop the regional regression equations; (3) geospatial data supporting the report, including basin delineations, basin characteristics, and regional regression boundaries; and (4) selected appendices from the larger work.
These data can be used to reproduce the results in the larger work: Magnitude and Frequency of Floods on Kauaʻi, Oʻahu, Molokaʻi, Maui, and Hawaiʻi, State of Hawaiʻi, Based on Data through Water Year 2020.

Tags: environment, flood-estimates, geoscientificinformation, hawaii, hawaii-island, hydrodynamics, hydrology, kauai, maui, molokai, oahu, peak-flows, regression, usgs-62aa5a53d34e74f0d80e69fb, watershed-management
Organization: Department of the Interior
PeakFQ inputs and selected outputs for 238 selected streamgages in Hawaiʻi through water year 2020

The U.S. Geological Survey (USGS), in cooperation with the State of Hawaiʻi Department of Transportation, estimated flood magnitudes for the 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEP) for unregulated streamgages in Kauaʻi, Oʻahu, Molokaʻi, Maui, and Hawaiʻi, State of Hawaiʻi, using data through water year 2020. Regression equations which can be used to estimate flood magnitude and associated frequency at ungaged streams were developed. The methods and results of the study are published in a separate report (https://doi.org/10.3133/sir20235014). 
This data release includes peak-flow, specification, output, and export files from version 7.3 of USGS PeakFQ software (Veilleux and others, 2014; Flynn and others, 2006) for 238 streamgages operated by the USGS in the State of Hawaiʻi and a summary of data from the output and export files. Within PeakFQ software, the Expected Moments Algorithm (EMA) was used to conduct frequency analysis to estimate stream discharges corresponding to the 0.5, 0.2, 0.1, 0.04, 0.02, 0.01, 0.005, and 0.002 AEPs (otherwise known as the 2-, 5-, 10-, 25-, 50-, 100-, 200-, and 500-year floods, respectively).  Results of the frequency analysis were used to develop a regional flood skew with Bayesian weighted least squares/Bayesian generalized least squares (B-WLS/B-GLS) regression and were used in generalized least-squares (GLS) regression to generate equations that predict stream discharges corresponding to selected AEPs at ungaged locations on streams in the State of Hawaiʻi (Mitchell and others, 2023).

Tags: annual-exceedance-probability, environment, flood-estimates, flood-frequency, generalized-least-squares-regression, hawaii, hawaii-island, hydrodynamics, hydrology, kauai, maui, molokai, multiple-linear-regression, oahu, peak-flows, usgs-62aa5b9ad34e74f0d80e6a0b, watershed-management
Organization: Department of the Interior
Selected appendices from flood-frequency report—Magnitude and Frequency of Floods on Kauaʻi, Oʻahu, Molokaʻi, Maui, and Hawaiʻi, State of Hawaiʻi, Based on Data through Water Year 2020

The U.S. Geological Survey (USGS), in cooperation with the State of Hawaiʻi Department of Transportation, estimated flood magnitudes for the 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEP) for unregulated streamgages in Kauaʻi, Oʻahu, Molokaʻi, Maui, and Hawaiʻi, State of Hawaiʻi, using data through water year 2020. Regression equations which can be used to estimate flood magnitude and associated frequency at ungaged streams were developed. The methods and results of the study are published in a separate report (https://doi.org/10.3133/sir20235014).
This data release contains the tabular data that are listed as appendices (appendices A, B, and D) in the larger work: Magnitude and Frequency of Floods on Kauaʻi, Oʻahu, Molokaʻi, Maui, and Hawaiʻi, State of Hawaiʻi, Based on Data through Water Year 2020.

Tags: environment, flood-estimates, geoscientificinformation, hawaii, hawaii-island, hydrodynamics, hydrology, kauai, maui, molokai, oahu, peak-flows, usgs-62aa5d34d34e74f0d80e6a27, watershed-management
Organization: Department of the Interior
Generalized least-squares WREG regression files for Hawaiʻi flood-frequency analysis, based on data through water year 2020

The U.S. Geological Survey (USGS), in cooperation with the State of Hawaiʻi Department of Transportation, estimated flood magnitudes for the 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEP) for unregulated streamgages in Kauaʻi, Oʻahu, Molokaʻi, Maui, and Hawaiʻi, State of Hawaiʻi, using data through water year 2020. Regression equations which can be used to estimate flood magnitude and associated frequency at ungaged streams were developed. The methods and results of the study are published in a separate report (https://doi.org/10.3133/sir20235014). 
This data release contains (1) a folder with the PeakFQ output files for each streamgage, ".PRT" and ".EXP" files, for use in the USGS weighted-multiple-linear regression (WREG) program; (2) a tab-delimited text file that contains the basin characteristics for use in the USGS WREG program; and (3) a folder with the output from the USGS WREG program, with results separated into folders for each regression region and selected AEP.
These data can be used to reproduce the regression results in the larger work: Magnitude and Frequency of Floods on Kauaʻi, Oʻahu, Molokaʻi, Maui, and Hawaiʻi, State of Hawaiʻi, Based on Data through Water Year 2020.

Tags: environment, flood-estimates, geoscientificinformation, hawaii, hawaii-island, hydrodynamics, hydrology, kauai, maui, molokai, oahu, peak-flows, regression, usgs-62aa5d48d34e74f0d80e6a2a, watershed-management
Organization: Department of the Interior
West Brook Trout Data, Whatley, Massachusetts.

The Ecology Section at the USGS Conte Laboratory has studied fish in the West Brook since 1997. The goal is to understand the strength and direction of drivers on fish growth, movement, reproduction and survival in the wild. We hope to provide a comprehensive understanding of fish population dynamics and ultimately individual fitness (natural selection and evolution) in the study area.

Tags: biota, brook-trout, climate-change, east-coast, evolution, fish-growth, massachusetts, movement, natural-selection, new-england, population-dynamics, reproduction, salvelinus-fontinalis, survival, usgs-62ab12abd34e74f0d80eb1f3, western-massachusetts, whately
Organization: Department of the Interior
Digital surface model (DSM) data for the Colorado River corridor in Grand Canyon National Park and Glen Canyon National Recreation Area (2002)

The 2002 Digital Surface Model (DSM) dataset consists of single band rasters at 1-meter pixel resolution that were generated to orthorectify a four band ortho imagery acquisition, and to support development of additional GIS products. Each pixel represents the elevation of the surface at that point expressed as NAD83 ellipsoid height. The DSM is a reflective surface DSM which provides elevation data on open ground (e.g. bare soil, rocks, and water), as well as aboveground terrain features including buildings, trees, and vegetation that cover otherwise open ground. The Digital Surface Model (DSM) was generated by automatic correlation of stereoscopic imagery collected from a flight altitude of approximately 17,000 feet above river level (approximately 18,000 to 21,000 feet above mean sea level) at 22-cm resolution with a HRSC-AX push-broom sensor May 24 through June 5, 2002. Data were collected during a period of low steady flow of approximately 8,000 cubic feet per second released from Glen Canyon Dam. The data are for the segment of the Colorado River riparian corridor from Glen Canyon Dam downstream to Pearce Ferry, AZ.

Tags: adaptive-management, airborne-imagery, arizona, bright-angel-creek, change-detection, colorado-river, data-release, diamond-creek, digital-elevation-models, digital-surface-model, field-inventory-and-monitoring, glen-canyon, glen-canyon-dam, glen-canyon-national-recreation-area, grand-canyon, grand-canyon-national-park, havasu-creek, image-classification, imagerybasemapsearthcover, kanab-creek, lees-ferry, little-colorado-river, management, marble-canyon, monitoring, paria-river, remote-sensing, separation-canyon, shinumo-creek, tapeats-creek, usgs-62ab5492d34e74f0d80eb2d0
Organization: Department of the Interior
Digital surface model (DSM) data for the Colorado River corridor in Grand Canyon National Park and Glen Canyon National Recreation Area (2009)

The 2009 Digital Surface Model (DSM) dataset consists of single band rasters at 1-meter pixel resolution that were generated to orthorectify a four band ortho imagery acquisition, and to support development of additional GIS products. Each pixel represents the elevation of the surface at that point expressed as NAD83 ellipsoid height. The DSM is a reflective surface DSM which provides elevation data on open ground (e.g. bare soil, rocks, and water), as well as aboveground terrain features including buildings, trees, and vegetation that cover otherwise open ground. The Digital Surface Model (DSM) was generated by automatic correlation of stereoscopic imagery collected from approximately 5,950 ft to 9,000 ft above mean sea level at 20-cm resolution with a Leica ADS40 SH52 digital multi-spectral sensor May 25, 2009 – June 1, 2009. Data were collected during a period of low steady river flow of approximately 8,000 cubic feet per second released from Glen Canyon Dam, however, tributary flows primarily from the Little Colorado River raised the approximate discharge to 9,000 cubic feet per second during the data collection from River Mile 61 (referenced by distance downstream from the confluence of the Paria River) down to River Mile 224 (Diamond Creek confluence) and possibly further downstream. The data are for the segment of the Colorado River corridor from Glen Canyon Dam downstream to Pearce Ferry, AZ.

Tags: adaptive-management, airborne-imagery, arizona, bright-angel-creek, change-detection, colorado-river, data-release, diamond-creek, digital-elevation-models, digital-surface-model, field-inventory-and-monitoring, glen-canyon, glen-canyon-dam, glen-canyon-national-recreation-area, grand-canyon, grand-canyon-national-park, havasu-creek, image-classification, imagerybasemapsearthcover, kanab-creek, lees-ferry, little-colorado-river, management, marble-canyon, monitoring, paria-river, remote-sensing, separation-canyon, shinumo-creek, tapeats-creek, usgs-62ab66b9d34e74f0d80eb3a4
Organization: Department of the Interior