AndreaBozzo/ceres-open-data-index huggingface dataset:
SEABOSS Images in JPEG Format from Cruises 2010-010-FA and 2010-015-FA in Long Island Sound North of Duck Pond Point, New York

The U.S. Geological Survey (USGS), in cooperation with the Connecticut Department of Environmental Protection and National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Imagery, originally collected by NOAA for charting purposes, provides a fundamental framework for research and management activities along this part of Long Island Sound, shows the composition and terrain of the seabed, and provides information on sediment transport and benthic habitat. Interpretive data layers were derived from the multibeam echo-sounder data collected north of Duck Pond Point, New York. During April and May 2010, bottom photographs and surficial sediment data were acquired during 2 cruises as part of USGS ground-truth reconnaissance surveys of this area. For more information on the ground-truth surveys see https://cmgds.marine.usgs.gov/fan_info.php?fa=2010-015-FA.

Tags: 2010-015-fa, atlantic-ocean, bottom-photographs, cmgp, coastal-and-marine-geology-program, connecticut-department-of-environmental-protection, ct-dep, digital-photo, duck-pond-point, field-activity-number-2010-010-fa, geoscientificinformation, ground-truth, image-collections, imagerybasemapsearthcover, info-bank-id-b-15-10-li, info-bank-id-r-10-10-li, jpeg, long-island, long-island-sound, new-york, north-america, northeast-united-states, oceans, ofr-2011-1149, open-file-report-2011-1149, osv-bold, r-v-rafael, sea-floor, sea-floor-characteristics, seabed-observation-and-sampling-system, seaboss, stations, u-s-geological-survey, underwater-photography, united-states, usgs, usgs-88330d5d-fb76-4ca7-898a-84f7aad3d585, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
2018 San Gabriel Reach Habitat Data

This dataset includes reach habitat data for the Santa Ana Sucker (Catostomus santaanae) and the Arroyo Chub (Gila orcutti) in the San Gabriel River.

Tags: arroyo-chub-gila-orcutti, habitat-use, san-gabriel-river, santa-ana-river, santa-ana-sucker-catostomus-santaanae, usgs-5ea0892882cefae35a13e6df
Organization: Department of the Interior
Data release - Abiotic and biotic factors reduce viability of a high-elevation salamander in its native range

Includes data used to estimate population demographic parameters for an exemplary high-elevation amphibian species, the federally endangered Shenandoah salamander (Plethodon shenandoah). These parameters were entered into a Markov projection model which we used to forecast the future population status of the Shenandoah salamander.

Tags: amphibian, persistence, population, salamander, usgs-63e655b1d34efa0476ade672
Organization: Department of the Interior
Mississippian aquifers

This data set represents the extent of the Mississippian aquifers which is in the uppermost 
aquifer in Paleozoic rocks of northern Missouri.

Tags: aquifer, aquifer-extent, environment, geoscientificinformation, groundwater, inlandwaters, usgs-ec96ae9f-c5d4-4ef6-93b1-28809433cf07
Organization: Department of the Interior
Table 2. Estimated public-supply water withdrawals by water source and PRASA public water system in Puerto Rico, 2017

Public-supply water withdrawals in Puerto Rico have been compiled annually since 2014 as part of an ongoing effort between the Puerto Rico Aqueduct and Sewer Authority and the U.S Geological Survey. In 2017, the total amount of public-supply water withdrawn in Puerto Rico was estimated at 545 million gallons per day (Mgal/d) from freshwater sources. Surface-water withdrawals accounted for 488 Mgal/d (90 percent) and groundwater withdrawals accounted for 57 Mgal/d (10 percent). Population served by public-supply water systems accounted for 3.5 million people, almost 100 percent of the total population. Public-supply water withdrawals were tabulated by municipality and by public water system.

Tags: domestic-water-use, environment, inlandwaters, public-supply, usgs-6408d082d34e76f5f75e4a4f, water-use, water-withdrawals, withdrawals
Organization: Department of the Interior
Hawaii Volcanoes National Park plant-soil feedbacks and fire data, 2019

This data release includes metadata and tabular data that documents growth and root nodulation of Acacia koa and Sophora chrysophylla in different soil types. Soils contained innoculum from conspecific versus heterospecific plants and were taken from areas that had burned in the 2018 Keauhou fire versus areas that had not burned . All plants were grown and data were taken in 2019 in a shadehouse structure in Hawaiʻi Volcanoes National Park.

Tags: biota, fire, hawaii-island, hawaii-volcanoes-national-park, legumes, plant-soil-feedbacks, restoration, rhizobia, usgs-638b8b4bd34ed907bf79cefc
Organization: Department of the Interior
Vegetation cover data used from the Soil Vegetation Inventory Method (SVIM) for Southwest Idaho

The US Department of Interior’s (USDI) Bureau of Land Management (BLM) has a long history of soil and vegetation monitoring of public rangelands it manages. However, historical monitoring data have been stored and managed at the field, district, or state level, making them difficult to compile and analyze. BLM’s Soil Vegetation Inventory Method (hereafter SVIM) program occurred between 1977 and 1983 in Arizona, California, Colorado, Idaho, Montana, New Mexico, Nevada, Oregon, Utah, and Wyoming. Our objective was to extract and decode vegetation cover data from the SVIM dataset in a georeferenced, digital format. Vegetation cover data are available for 22,578 SVIM site write-up areas in nine states. The wide geographic coverage of the SVIM dataset will make it an outstanding resource for researchers interested in quantifying vegetation change through time in rangelands of the western US. For several studies, the USGS created a crosswalk table to convert SVIM species codes into their modern counterparts for species within the Great Basin, USA. This crosswalk table also converted questionable or incorrect species codes (codes with mistyped codes or species that did not occur in the area) into their most likely species code based on the area in which they were sampled. This conversion was completed using a local expertise along with the USDA Plants Database (https://plants.sc.egov.usda.gov/java/).

Tags: biota, blms-public-land-survey-system-dataset-plss, california, crosswalk, ecological-monitoring, environment, farming, idaho, nevada, oregon, range, united-states, usgs-5b082fefe4b0ac450c9a6b1d, utah, vegetation, western-us, wyoming
Organization: Department of the Interior
Environmental tracer model for the Wet Mountain Valley alluvial aquifer, Custer and Fremont Counties, Colorado, 2019

This data release contains environmental tracer model inputs, outputs, and model results. Dataset includes environmental tracer concentrations, simulated recharge conditions (water temperature, excess air), and estimated groundwater residence times. This dataset supports an integrated hydrologic investigation of groundwater recharge processes and groundwater flow in the Wet Mountain Valley alluvial aquifer, Custer and Fremont Counties, Colorado. Data were collected by the U.S. Geological Survey in cooperation with the Upper Arkansas Water Conservancy District.

Tags: colorado, custer-county, environment, environmental-tracer, fremont-county, groundwater-age, groundwater-residence-time, inlandwaters, usgs-61f4112ad34e622189baf80a
Organization: Department of the Interior
Astrogeology Science Center Monthly Report, December 1960

Monthly report to show updates on highlights and noteworthy results, personnel, conferences and scientific meetings, and visitors. Includes unpublished works and works in progress.

Tags: astrogeology, astrogeology-branch-history, branch-history, geoscientificinformation, planetary-sciences, usgs-6310f957d34e36012efa0fbf
Organization: Department of the Interior
Shapefile of Historical New Jersey Shoreline Data Derived from National Oceanic and Atmospheric Administration (NOAA) 1839-1875 T-Sheets

Historical shoreline surveys were conducted by the National Ocean Service (NOS), dating back to the early 1800s. The maps resulting from these surveys, often called t-sheets, provide a reference of historical shoreline position that can be compared to modern data to identify shoreline change. The t-sheets are stored at the National Archives and many have been scanned by the National Oceanic and Atmospheric Administration (NOAA) and are available on the NOAA Shoreline Web site (http://www.shoreline.noaa.gov/data/datasheets/t-sheets.html). While some scanned t-sheets were georeferenced and digitized by NOAA, still others remain as non-georeferenced raster files (http://nosimagery.noaa.gov/images/shoreline_surveys/survey_scans/NOAA_Shoreline_Survey_Scans.html).
New_Jersey_1839_75_Digitized_Shoreline.zip features a digitized historic shoreline for the New Jersey coastline from 1839 to 1875. The data were scanned by NOAA, but were not georeferenced. The t-sheets included in this data release are: T-121 (1839), T-119 Part 1 (1841), T-1084 (1868), T-1166 (1870), T-1333 (1871), T-1315a (1872), T-1371 (1874), T-1407 (1875). Digital files were georeferenced, corrected to a modern datum, and shorelines digitized to provide a vector polyline depicting the historical shoreline position. All shorelines, including the foreshore, backshore, mainland and island shorelines were delineated and digitized for each survey using ArcMap 10.3.1. These shorelines were digitized for use in long-term shoreline and wetland analyses for Hurricane Sandy wetland physical change assessment.

Tags: absecon-bay, atlantic-ocean, barnegat-bay, boundaries, coastal, digitization, environment, georeferenced, geoscientificinformation, great-bay, little-bay, little-egg-harbor, manahawkin-bay, new-jersey, nj, oceans, reed-bay, shoreline-data, shoreline-map, t-sheet, topographic-sheet, usa, usgs-68368947-d712-4ca9-907f-a665567a18bc
Organization: Department of the Interior
Application of nitrogen generated by grazing cattle to range land in the United States Pacific Northwest for 2002

This spatial data set was created by the U.S. Geological Survey (USGS) to represent the amount of nitrogen generated by 
grazing cattle that was applied to range land in the Pacific Northwest region of the United States (Hydro Region 17; Major 
River Basin 7 (MRB7)) during 2002.

Tags: idaho, inlandwaters, livestock-waste, major-river-basins, montana, nawqa, nitrogen, oregon, pacific-northwest, pnw, rangeland, sparrow, usgs-f515ebd5-f16d-4a33-8b9a-5b1e2f4dd87b, washington
Organization: Department of the Interior
Short-horned lizard distribution in the Wyoming Basins Ecoregional Assessment area

Map of Short-horned lizard distribution developed from a probability of occurrence map created using multi-scale vegetation, abiotic, and anthropogenic features.

Tags: biota, colorado, distribution, environment, environment-and-conservation, geoscientificinformation, geospatial-datasets, idaho, modeling, montana, scientific-interpretation, short-horned-lizard, shrubland-ecosystems, united-states, usgs-6488c7f1d34ef77fcafe3fcd, utah, wyoming
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2005, 2008, 2012, 2016, 2018, and 2021 Site 5845 land-water matrix

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring to determine the efficacy of these projects. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. This dataset consists of a matrix of six land-water products (2005, 2008, 2012, 2016, 2018, and 2021).  The resulting matrix has 64 possible classes defined by the combination of land and water categories on those six dates.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-64dfbbfbd34e5f6cd553c12d, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Compilation of multi-agency specific conductance observations for streams within the Chesapeake Bay watershed

Freshwater salinization is an emerging issue for freshwater environments in the Chesapeake Bay, USA region. Salinization is often described by measurements of specific conductance (SC). This data release contains specific conductance observations collected by multiple regional agencies for streams within the Chesapeake Bay Watershed. This inventory compiles and harmonizes data from the Water Quality Portal (WQP), which is a data repository developed by the National Water Quality Monitoring Council and supported by the U.S. Environmental Protection Agency and U.S. Geological Survey, and the U.S. Geological Survey National Water Information System (NWIS). Both discrete measures of SC, which are single measures taken on a particular time and day, and continuous measures of SC, which are repeated measures of SC taken at regular, short intervals, such as 15-minute or hourly intervals, were compiled for this data release. The discrete data were also processed to screen out non-relevant observations and harmonize units. The WQP uses "MonitoringLocationIdentifier" to identify each unique site and monitoring activities, and this term is used throughout the data release to differentiate among unique sites and monitoring activities as well.  
The data release includes four items:
1. ["Site_inventory_for_specific_conductance_measures.csv"]: This is a site inventory of all locations where SC data had been collected and compiled for the data release. This file includes information on the monitoring location (coordinates, state, and county), the organization responsible for the data collection, the type of data available (discrete, continuous, or both) and its unique monitoring location and activity.  
2. ["Discrete_specific_conductance_results.txt"]: This file contains all discrete SC observations. Identifying information (coordinates, monitoring location name and identifier), along with the observation value, units, and multiple flagging columns which denoted whether any changes were made to the observation or units during the processing steps. Full details are included in the "readme_file_for_Ches_Bay_specific_conductance_inventory.pdf" file. 
3. ["Continuous_specific_conductance_results.zip"]: This zipped folder contains 89 .csv files for all the continuous USGS SC data available in the Chesapeake Bay watershed. Each file name includes each unique MonitoringLocationIdentifier. 
4. ["readme_file_for_Ches_Bay_specific_conductance_inventory.pdf"]: This document describes all the processing and harmonization steps to generate the site inventory and discrete SC dataset, and for downloading the high frequency SC datasets.

Tags: biota, chesapeake-bay-watershed, delaware, district-of-columbia, environment, freshwater-ecosystems, inlandwaters, maryland, new-york, pennsylvania, salinity, surface-water-quality, united-states, usgs-631b80e7d34e71c6d67a2585, virginia, west-virginia
Organization: Department of the Interior
Mineral Commodity Summaries 2022 - SULFUR Data Release

This data release contains the U.S. salient statistics and world production data extracted from the SULFUR data sheet of the USGS Mineral Commodity Summaries 2022.

Tags: nonmetallic-mineral-resources, sulfur, sulfuric-acid, usgs-61ead38ed34e8b818ad9f40f
Organization: Department of the Interior
Digitial map of geologic units forming the base of the principal aquifer and areas where the base of aquifer is not well defined, Elkhorn-Loup Model area, north-central Nebraska

The U.S. Geological Survey (USGS), in cooperation with the Lewis and Clark Natural Resources District 
(NRD), Lower Elkhorn NRD, Lower Loup NRD, Lower Platte North NRD, Lower Niobrara NRD, Middle 
Niobrara NRD, Upper Elkhorn NRD, and Upper Loup NRD, have agreed to cooperatively study water 
resources from prior to the beginning of irrigation development to 2005 in the Elkhorn-Loup Model (ELM) 
area using a ground-water-flow model.  The ELM area covers approximately 30,800 square miles, and 
extends from the Niobrara River in the north to the Platte River in the south.  The western boundary of 
the ELM area coincides with the western boundary of the Middle Niobrara, Twin Platte, and Upper Loup 
NRDs; the eastern boundary coincides with the approximate location of the westernmost extent of 
glacial till in eastern Nebraska. The initial ground-water-flow model was constructed with a single layer 
vertically to represent the aquifers of the Tertiary-age Ogallala Group and Quaternary-age alluvial deposits, 
with a uniform node spacing of 2 miles. The model will be calibrated to measured ground-water levels and 
estimated ground-water discharge to streams for the pre-ground-water development period (approximately 
1940) and the simulation of the 1940-2005 period will be calibrated to measure ground-water level changes. 
The study results will assist Nebraska Department of Natural Resources and the NRDs in the ELM area to 
develop long-term strategies for managing hydrologically connected waters.
			
This dataset is one of three geospatial datasets that together revise previously published maps of the 
configuration of the base of the principal aquifer and of the geologic units that form the base of the principal 
aquifer in the study area; the revisions to the base-of-aquifer altitude are based on currently available or 
reinterpreted geologic logs of test holes and selected registered wells. The principal aquifer is the High 
Plains aquifer except in the northeast part of the model area, where the principal aquifer is an unnamed 
alluvial aquifer.
			
This dataset identifies and delimits approximately the extent of the geologic units forming the base of the 
principal aquifer and the areas where the base of principal aquifer surface is not well defined. Ambiguity 
in the calculated base of aquifer existed wherever this calculated base-of-aquifer altitude was above the 
mapped land surface. The calculated base of aquifer was above  the mapped land surface either because 
of inaccuracy in the mapped land surface or base of aquifer calculation or because the principal aquifer 
was thin or not present.

Tags: aquifer-base, aquifer-characteristics, brule-formation, chadron-formation, elkhorn-loup-model-area, geohydrologic-units, geoscientificinformation, high-plains-aquifer, inlandwaters, lower-tertiary, niobrara-formation, ogallala-aquifer, pierre-shale, upper-cretaceous, usgs-9d5fdfa8-11cb-41c9-a3a0-ad48a48ea290, white-river-group
Organization: Department of the Interior
Trend Departure Index Results for the RESTORE Trend Analysis and Streamflow Alterations studies

Trend Departure Index (TDI) is computed as: (number of quantiles for which the trend result departs from the result for the associated reference site)  /  (total number of quantiles). In a Quantile-Kendall analysis for the annual time frame, the denominator, or total number of quantiles, is 365. 
TDI varies from 0 to 1; a TDI of 0 indicates the trend results for the site are identical to the reference site and any value larger than 0 indicates some departure compared to the reference condition. The larger the number (the closer to 1) the more departure or deviation relative to the reference site in trend across all the quantiles for the site.

Tags: alabama, florida, gulf-coast, gulf-of-mexico, louisiana, mississippi, reference-hydrology, southeastern-united-states, streamflow-alteration, tdi, texas, trend-analysis, trend-departure-index, usgs-5f2475de82cef313ed971a87
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Southern California v3.0 Phase 2 flood-hazard depth and duration projections: 1-year storm in Orange County

Maximum depth of flooding surface (in cm) in the region landward of the present day shoreline that is inundated for the storm condition and sea-level rise (SLR) scenario indicated. Note: Duration datasets may have occasional gaps in open-coast sections.
The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings.
Model details and data sources are outlined in CoSMoS_3.0_Phase_2_Southern_California_Bight:_Summary_of_data_and_methods (available at https://www.sciencebase.gov/catalog/file/get/57f1d4f3e4b0bc0bebfee139?name=CoSMoS_SoCalv3_Phase2_summary_of_methods.pdf). Phase 2 data for Southern California include flood-hazard information for the coast from the border of Mexico to Pt. Conception. Several changes from Phase 1 projections are reflected in many areas; please read the Summary of methods and inspect output carefully.  Data are complete for the information presented.

Tags: beaches, climate-change, climatologymeteorologyatmosphere, coastal-erosion, erosion, extreme-weather, floods, hazards-planning, ocean-waves, ocean-winds, oceans, orange-county, physical-habitats-and-geomorphology, sea-level-change, sea-level-rise, southern-california, southern-california-bight, state-of-california, storm-surge, storms, usgs-594070ede4b0764e6c63144a, water-depth, waves, wind
Organization: Department of the Interior
Field measurements of flow velocity from the Tanana River, Alaska, July 24, 2019

Field measurements of flow velocity were acquired from a reach of the Tanana River near Nenana, Alaska, July 24, 2019, to support research on estimating surface flow velocities from remotely sensed data via particle image velocimetry (PIV).  The velocity measurements included in this data release were obtained using a TRDI RiverRay acoustic Doppler current profiler (ADCP) deployed from a boat with an outboard motor.  This data release provides depth-averaged flow velocities derived from the raw ADCP data using the TRDI WinRiver II processing software.  The spatial location of each velocity measurement was obtained using a differential GPS included as part of the RiverRay instrument package.  The map projection and datum for these data are UTM Zone 6 N and NAD 83, respectively.  This data release consists of a single comma-delimited (*.csv) text file with four columns: X (m), Y (m), U (m/s), and V (m/s).  The first two columns are the easting and northing spatial coordinates, respectively, and the third and fourth columns contain the x and y (east and north) components of the depth-averaged velocity vectors, respectively.  The units of the coordinates are meters and the units of the depth-averaged velocities are meters per second.  This field-based data set was used to assess the accuracy of remotely sensed estimates of surface flow velocity derived from optical image sequences via PIV.

Tags: acoustic-doppler-current-profiler-adcp, ak, alaska, flow-velocity, nenana, particle-image-velocimetry-piv, remote-sensing, river, tanana-river, usa, usgs-5e39bcbee4b0a79317e15d61
Organization: Department of the Interior