AndreaBozzo/ceres-open-data-index huggingface dataset:
Hurricane Sandy Assessment of Potential Coastal Change Impacts: NHC Advisory 29, 1100 AM EDT MON OCT 29 2012

This dataset defines hurricane-induced coastal erosion hazards for the Delaware, Maryland, New Jersey, New York, and Virginia coastline. The analysis was based on a storm-impact scaling model that used observations of beach morphology combined with sophisticated hydrodynamic models to predict how the coast would respond to the direct landfall of Hurricane Sandy in October 2012. Hurricane-induced water levels, due to both surge and waves, were compared to beach and dune elevations to determine the probabilities of three types of coastal change: collision (dune erosion), overwash, and inundation. All hydrodynamic and morphologic variables are included in this dataset.

Tags: bathymetry-and-elevation, cmgp, coastal, coastal-and-marine-geology-program, coastal-processes, delaware, delmarva, distributions, effects-of-coastal-change, elevation, environment, erosion, geoscientificinformation, hazards, hurricane-sandy, hurricanes-and-typhoons, marine-geology, maryland, new-jersey, new-york, ocean-sciences, oceans, physical-habitats-and-geomorphology, shoreline-accretion, shoreline-erosion, spcmsc, st-petersburg-coastal-and-marine-science-center, storm-erosion, topographic-mapping, u-s-geological-survey, united-states-of-america, usgs, usgs-65434128-df3e-4cf7-a715-f9ea95a88e49, virginia
Organization: Department of the Interior
Tracking Data for Buff-breasted Sandpipers (Calidris subruficollis)

This data package includes 2 child items with tracking data for Buff-breasted Sandpipers, a shorebird species that breeds only in Arctic Alaska and Canada, spending the winter in the grasslands of Brazil, Uruguay, and Argentina after a lengthy migration.
      Child Item 1: "Argos and GPS Satellite Tracking Data for Buff-breasted Sandpipers (Calidris subruficollis) - Processed Data" - Quality-controlled data collected from Argos and Argos-linked GPS satellite transmitters.
      Child Item 2: "Argos and GPS Satellite Tracking Data for Buff-breasted Sandpipers (Calidris subruficollis) - Raw Data" - All raw data collected from Argos and Argos-linked GPS satellite transmitters, provided for completeness of the archive. The quality-controlled, "Argos GPS Processed Data" (Child Item 1) are better suited for most analytical purposes.

Tags: alaska, animal-tracking, animals-vertebrates, argentina, argos, biota, birds, brazil, breeding-sites, buff-breasted-sandpiper, calidris-subruficollis, capture-recapture-studies, central-americas-flyway, coastal-ecosystems, environment, gps, migratory-birds, migratory-rates-routes, migratory-species, ornithology, overwintering, platform-transmitter-terminal, ptt, satellite-transmitter, seasonal-distribution, seasonal-movement, species-life-history, tagging-devices, telemetry, texas, tracking-equipment, uruguay, usgs-652edf43d34edd15305a9aa2, waders-gulls-auks-and-allies, wildlife
Organization: Department of the Interior
Attribution of benthic macroinvertebrate sampling data to NHDPlus V2 and NHDPlus HR catchments within the Chesapeake Bay Watershed

This data release links benthic macroinvertebrate sites to both the NHDPlus Version 2 and NHDPlus High Resolution Region 02 networks, hereafter referred to as V2 and HR, using the hydrolink methodology. Linked benthic macroinvertebrate sites are those included in the Chesapeake Bay Basin-wide Index of Biotic Integrity (Chessie BIBI) developed by the Interstate Commission on the Potomac River Basin (ICPRB) and available from the Chesapeake Bay Program (https://datahub.chesapeakebay.net/LivingResources). The data set contains a unique sample identifier created by ICPRB, survey program, coordinates of sample, linked V2 COMID and HR Permanent Identifier, and information regarding uncertainty in the attribution. We strongly caution the use of sampling points with attribution uncertainty to avoid spurious attribution of geospatial data to benthic macroinvertebrate samples.

Tags: aquatic-biology, aquatic-ecosystems, district-of-columbia-national-district, ecology, freshwater-ecosystems, hydrology, macroinvertebrates, maryland-state, new-york-state, pennsylvania-state, usgs-652ed3b3d34edd15305a9a7f, virginia-state, west-virginia-state
Organization: Department of the Interior
Surface-water sites in Hawaiʻi where pesticides were assessed, 2015–19

This dataset includes information for the sample sites described in the U.S. Geological Survey (USGS) Scientific-Investigations Report 2024-5071, available at https://doi.org/10.3133/sir20245071. The sample sites were at surface-water bodies on the Hawaiian Islands of Kauaʻi, Oʻahu, Maui, and Hawaiʻi. Site information is provided in a comma-separated-value (csv) file and a shapefile. The shapefile contains the same information as the csv file but is formatted for use in a geospatial information system.

Tags: environment, hawaii, hawaii-county, inlandwaters, kauai, maui, oahu, pesticide-and-herbicide-contamination, surface-water-quality, usgs-652dabb3d34edd15305a94d0, water-quality
Organization: Department of the Interior
Geochronological data for the Dutch Lake paleoseismic site, Sawtooth fault, Idaho

This data release includes geochronological data for a paleoseismic trench exposure of the Sawtooth fault, Idaho at the Dutch Lake site (44.343806, -115.17643). Laboratory data include 14 charcoal radiocarbon ages processed at the Woods Hole Oceanographic Institution (WHOI) National Ocean Sciences Accelerator Mass Spectrometry Facility (NOSAMS) and 8 infrared stimulated luminescence (IRSL) ages for feldspar processed at the U.S. Geological Survey Luminescence Dating Laboratory. The radiocarbon and luminescence samples were collected September 2022.

Tags: geoscientificinformation, usgs-652daa86d34edd15305a94c9
Organization: Department of the Interior
USGS National and Global Oil and Gas Assessment Project—Southwestern Wyoming Province, Lewis Shale Conventional and Continuous Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables

This data release contains the boundaries of assessment units and input data for the assessment of undiscovered conventional and continuous oil and gas resources in in the Lewis Shale of the Southwestern Wyoming Province, Wyoming and Colorado. The Assessment Unit is the fundamental unit used in the National Assessment Project for the assessment of undiscovered oil and gas resources.  The Assessment Unit is defined within the context of the higher-level Total Petroleum System.  The Assessment Unit is shown herein as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar geologic, geographic, and temporal properties within the Total Petroleum System, such as source rock, timing, migration pathways, trapping mechanism, and hydrocarbon type.  The Assessment Unit boundary is defined geologically as the limits of the geologic elements that define the Assessment Unit, such as reservoir rock, geologic structures, source rock, and seal lithologies.  The only exceptions to this are Assessment Units that border a Federal-State water boundary.  In these cases, the Federal-State water boundary forms part of the Assessment Unit boundary.  In addition to the shapefile, for U.S. assessments, allocation tables are provided that enumerate percentages assigned to various land categories. Machine-readable tables are also provided that contain the input and results for each assessment unit summarized in the USGS Fact Sheet. Methodology of assessments are documented in USGS Data Series 547 for continuous assessments (https://pubs.usgs.gov/ds/547) and USGS DDS69-D, Chapter 21 for conventional assessments (https://pubs.usgs.gov/dds/dds-069/dds-069-d/REPORTS/69_D_CH_21.pdf).  See supplemental information for a detailed list of files included this data release.

Tags: assessment-unit, continuous-assessment-unit, energy-resources, geology, geoscientificinformation, lewis-shale-asquith-shale-gas, lewis-shale-asquith-shale-oil, lewis-shale-conventional-gas, lewis-shale-north-continuous-gas, lewis-shale-south-continuous-gas, national-assessment-of-oil-and-gas, natural-gas, natural-gas-resources, noga2000, oil, oil-gas, oil-resources, petroleum, resource-assessment, state-of-colorado, state-of-wyoming, unconventional-assessment-unit, united-states-of-america, usgs-652d90ddd34edd15305a9431
Organization: Department of the Interior
Guam, Mariana swiftlet colony size and nest counts, 2019-2023

The yǻyaguak (Mariana swiftlet; Aerodramus bartschi) is an endangered cave-nesting species historically found on Guam and the southern Mariana Islands, Micronesia. The population on Guam has been severely impacted by the introduction of the brown treesnake (Boiga irregularis). Population status assessments have, however, been challenging due to the limitations of traditional counting methods, which rely on visual observations at cave entrances and are prone to inaccuracies. To improve count accuracy, we estimated yǻyaguak population size and relative nesting activity using thermal and near-infrared videography at Mahlac, Maemong and Fachi Caves from April 2019 to April 2023. This study demonstrates the potential of thermal and near-infrared videography for improved monitoring of yǻyaguak colonies and nesting activity.

Tags: biota, guam, mariana-swiftlet, talofofo, usgs-652d7ab3d34edd15305a93a9, videographic-monitoring, yyaguak
Organization: Department of the Interior
Supporting Data for "Subduction intraslab-interface fault interactions in the 2022 Mw 6.4 Ferndale, California, earthquake sequence"

This data release pertains to the December 20, 2022, Mw6.4 Ferndale, California, earthquake and complements the following publication: Shelly, D. R. et al. (2023) Subduction intraslab-interface fault interactions in the 2022 Mw 6.4 Ferndale, California, earthquake sequence. [insert publication info when available!].
This page contains:
(1) Files pertaining to earthquake relocations,
(2) Files pertaining to postseismic GNSS analysis, and
(3) Input data and model results from the coseismic finite-fault inversions.
See attached ReadMe.txt for details.
The dataset includes broadband teleseismic data, regional strong-motion accelerometer data, high-rate Global Navigation Satellite System (GNSS) data, static GNSS offset estimates, and a centroid moment tensor solution in the formats necessary for input to the Wavelet and simulated Annealing SliP (WASP) finite fault inversion code (https://code.usgs.gov/ghsc/neic/algorithms/neic-finitefault). The broadband seismic data in this data release are from globally distributed seismometers from networks G (https://doi.org/10.18715/GEOSCOPE.G), GE (https://doi.org/10.14470/TR560404), GR (https://doi.org/10.25928/mbx6-hr74), GT (https://doi.org/10.7914/SN/GT), II (https://doi.org/10.7914/SN/II), IU (https://doi.org/10.7914/SN/IU), and US (https://doi.org/10.7914/SN/US). Strong-motion accelerometer data are from networks BK (https://doi.org/10.7932/BDSN), NC (https://doi.org/10.7914/SN/NC), and NP (https://doi.org/10.7914/SN/NP). Global Navigation Satellite System (GNSS) data are from the Network of the Americas, operated by the EarthScope Consortium (https://www.unavco.org/nota/).
Please see Goldberg et al. (2022) for details on NEIC finite fault inversion procedures: Goldberg, D. E., P. Koch, D. Melgar, S. Riquelme, and W. L. Yeck (2022). Beyond the Teleseism: Introducing Regional Seismic and Geodetic Data into Routine USGS Finite-Fault Modeling, Seismol. Res. Lett. 93 (6): 3308–3323, https://doi.org/10.1785/0220220047.

Tags: biota, california, earthquake-seismology, mendocino-triple-junction, subduction, usgs-652d7568d34edd15305a9395
Organization: Department of the Interior
High-Water Mark Elevations in Upstate New York from Flash Flooding during July 9-10, 2023

This data release contains results of a high-water mark survey across Upstate New York following flash flooding during July 9-10, 2023. The survey was conducted between July 12 and September 20, 2023 by U.S. Geological Survey (USGS) personnel, and is based on surveyed elevations of mud, debris, and seed lines (Koenig and others, 2016) left by the flooding. Real-time and static Global Navigation Satellite System (GNSS) surveying (Rydlund and Densmore, 2012), combined with differential leveling (Kenney, 2010), were used to determine high-water mark elevations at 186 locations. Additional data associated with the July 2023 flooding, such as photos of the survey locations, can be found in the USGS Flood Event Viewer, https://stn.wim.usgs.gov/fev/#2023JulyMANYVTFlood.

Tags: floods, high-water, high-water-marks, inlandwaters, usgs-652d4d51d34e44db0e2ee44e
Organization: Department of the Interior
Vertical Profiles and Near Surface Water Quality Transects for Dissolved Oxygen Monitoring of the Arthur Kill, New York and New Jersey, September 7th and 8th, 2023

Transects of near-surface continuous water-quality data and vertical profiles of the same parameters were collected over a 24-hour period from September 7 to September 8, 2023 in the Arthur Kill. The Arthur Kill is a tidal strait located between Staten Island, New York, and Union and Middlesex Counties, New Jersey, and connects Newark Bay to the north and Raritan Bay to the south. It is a major shipping channel for the Port of New York and New Jersey surrounded by industrial and highly developed land. Transects were collected using a Yellow Springs Instruments (YSI) EXO2 series water-quality sonde with a 5-second data collection interval while the boat was in motion. Vertical profiles of water-quality parameters were collected using a YSI EXO2 series water-quality sonde with 1-second data collection interval. A stationary YSI EXO2 series water-quality sonde collecting 5-minute data at a depth of approximately 1 meter was deployed in the waterway during this time as a point of reference. Data are stored in three zip files: 1) the near-surface continuous transect data, 2) the vertical profile data, and 3) the stationary sonde data.
In addition, the continuous transect data can be viewed as an online webmap:
https://ny.water.usgs.gov/maps/arthurkillwaterquality

Tags: arthur-kill, dissolved-oxygen, middlesex-county, near-surface, new-jersey, new-york, newark-bay, ph, raritan-bay, specific-conductance, staten-island, surface-water-quality, transect, turbidity, union-county, united-states, usgs-65299001d34e44db0e2ed8ef, vertical-profile, water-quality, water-temperature
Organization: Department of the Interior
Input and results from boosted regression tree and artificial neural network models that predict daily maximum pH and daily minimum dissolved oxygen in Upper Klamath Lake, 2005-2019

This data release contains the model inputs, outputs, and source code (written in R) for the boosted regression tree (BRT) and artificial neural network (ANN) models developed for four sites in Upper Klamath Lake which were used to simulate daily maximum pH and daily minimum dissolved oxygen (DO) from May 18th to October 4th in 2005-12 and 2015-19 at four sites, and to evaluate variable effects and their importance. Simulations were not developed for 2013 and 2014 due to a large amount of missing meteorological data. The sites included: 1) Williamson River (WMR), which was located in the northern portion of the lake near the mouth of the Williamson River and had a depth between 0.7 and 2.9 meters; 2) Rattlesnake Point (RPT), which was located near the southern portion of the lake and had a depth between 1.9 and 3.4 meters; 3) Mid-North (MDN), which was located in the northwest portion of the lake and a depth between 2.4 and 4.2 meters; 4) Mid-Trench (MDT) , which was located in the trench that runs along the western portion of the lake and had a depth between 13.2 and 15 meters.

Tags: environment, hydrology, inlandwaters, oregon, surface-water-quality, upper-klamath-lake, usgs-652822bad34e44db0e2ed30f, water-chemistry
Organization: Department of the Interior
Low-Flow Statistics for New York State, Excluding Long Island,  Computed Through March 2022

This USGS data release contains 7Q10 and 30Q10 [lowest annual 7-day and 30-day average streamflow that occurs (on average) once every 10 years] statistics at 292 USGS streamgages in or adjacent to New York State excluding Long Island. 
all_sites_wstats.csv - includes 7Q10 and 30Q10 values for all sites and includes information on results from the trend analysis and which sites have daily exceedance probability values available.
site_regulated_7day_exc_perc#.csv and site_regulated_30day_exc_perc#.csv files include daily exceedance probability values for all altered sites that were not suitable for calculating low flow statistics.
R scripts used to compile and screen streamgage datasets of daily flow, perform trend analysis, and calculate the low streamflow statistics 7Q10 and 30Q10 are included in processing_scripts.zip. Users are encouraged to read the readme file in this zipped file for details on the scripts and associated files used to generate the statistics.

Tags: inlandwaters, low-flow, mathematical-modeling, streamflow, usgs-6527f148d34e44db0e2ed233, water-resources
Organization: Department of the Interior
Bayou Bonfouca Marsh Creation (PO-104): 2016 and 2018 land-water classifications

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 Bayou Bonfouca Marsh Creation (PO-104) project for 2016 and 2018. 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, po-104, remote-sensing, united-states-of-america, usgs-65275d3dd34e44db0e2ed01d, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Self-potential and electric resistivity tomography data pertaining to groundwater flow for thermal springs, Hot Springs National Park, Arkansas, February 2023–January 2024

This data release contains self-potential (SP) map data, two-dimensional electrical resistivity tomography (ERT) data, and time-lapse SP-monitoring data measured within the thermal springs discharge area of Hot Springs National Park in Hot Springs, Arkansas, in addition to the geospatial coordinates of each geophysical measurement and photographs of the reconnaissance and monitoring-survey layouts. Hot Springs National Park features 47 artesian thermal springs that discharge along the trace of a thrust fault at the base of Hot Springs Mountain. To better understand temporal aspects of thermal springs discharge at Hot Springs National Park, the U.S. Geological Survey, in collaboration with the U.S. National Park Service, completed geophysical reconnaissance and monitoring surveys in the thermal-springs discharge area of the park where several thermal springs discharge from a subsurface bedrock aquifer into overburden fill sediments. Geophysical reconnaissance surveying comprised of SP mapping and ERT data collection occurred between February 20–23, 2023, prior to initializing the SP monitoring data collection on February 24, 2023. Geophysical reconnaissance was performed to (1) delineate electrical anomalies on the surface that were attributed to subsurface thermal springs discharge, (2) map the subsurface distribution of electrical resistivity within the thermal springs discharge area beneath two linear ERT survey lines, and (3) position a linear array of 40 copper-sulfate electrodes that were used to monitor the variations of electrical anomalies through time at 40 different locations on the land surface within the thermal springs discharge area. Each electrode in the linear SP monitoring array measured a voltage-difference relative to a common reference electrode every 60 seconds between 11:17 AM Central Standard Time (CST) on February 24, 2023 and 15:22 pm CST on January 8, 2024.

Tags: arkansas, electric-current, electric-potential, electric-resistivity-tomography, geophysics, hot-springs-arkansas, hot-springs-national-park, hydrology, monitoring, resistivity, self-potential, spring-flow, streaming-potential, thermal-springs, usgs-6526fdb7d34e44db0e2ece3f
Organization: Department of the Interior
Delta Management at Fort St. Philip (BS-11): 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 Delta Management at Fort St. Philip (BS-11) 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, bs-11, conservation, cwppra, digital-elevation-models, ecosystem-monitoring, environment, geographic-information-systems, gulf-of-mexico, image-collections, image-mosaics, louisiana, louisiana-coastal, remote-sensing, united-states-of-america, usgs-653bf7e1d34ee4b6e05bc28d, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Model archive for the hydraulic model for the Cuyahoga River at Jaite, Ohio

Water-surface elevations along the stream reach were estimated by steady-state hydraulic modeling, assuming unobstructed flow, and using streamflows and hydrologic conditions anticipated at the USGS streamgage (station number 04206425). The hydraulic model reflects the land-cover characteristics and any bridge, dam, levee, or other hydraulic structures existing as of September 2023.
_README_Contents-Directory.txt
1. model-software-version.txt (file)
Identifies the modeling software, version, and website.
2. modelgeoref.txt (file)
Includes reference to the model documentation report, data release, and bounding box coordinates.
3. Source (directory)
Contains the URL to the installer files.
4. Model (directory)
Contains the model input and output files for the hydraulic model.

Tags: cuyahoga-county, cuyahoga-river, depth-grid, flood-boundary, hydraulic, jaite, modeling, ohio, usgs-6526a819d34e44db0e2ecbfb
Organization: Department of the Interior