AndreaBozzo/ceres-open-data-index huggingface dataset:
Surficial sediment samples collected by the U.S. Geological Survey within the St. Clair River between Michigan and Ontario, Canada, 2008 (ESRI VECTOR SHAPEFILE, 08016_SAMPLE.SHP)

In 2008, the U.S. Geological Survey (USGS), Woods Hole Coastal and Marine Science Center (WHCMSC), in cooperation with the U.S. Army Corps of Engineers conducted a geophysical and sampling survey of the riverbed of the Upper St. Clair River between Port Huron, MI, and Sarnia, Ontario, Canada. The objectives were to define the Quaternary geologic framework of the St. Clair River to evaluate the relationship between morphologic change of the riverbed and underlying stratigraphy. This report presents the geophysical and sample data collected from the St. Clair River, May 29-June 6, 2008 as part of the International Upper Great Lakes Study, a 5-year project funded by the International Joint Commission of the United States and Canada to examine whether physical changes in the St. Clair River are affecting water levels within the upper Great Lakes, to assess regulation plans for outflows from Lake Superior, and to examine the potential effect of climate change on the Great Lakes water levels ( http://www.iugls.org). This document makes available the data that were used in a separate report, U.S. Geological Survey Open-File Report 2009-1137, which detailed the interpretations of the Quaternary geologic framework of the region. This report includes a description of the suite of high-resolution acoustic and sediment-sampling systems that were used to map the morphology, surficial sediment distribution, and underlying geology of the Upper St. Clair River during USGS field activity 2008-016-FA . Video and photographs of the riverbed were also collected and are included in this data release. Future analyses will be focused on substrate erosion and its effects on river-channel morphology and geometry. Ultimately, the International Upper Great Lakes Study will attempt to determine where physical changes in the St. Clair River affect water flow and, subsequently, water levels in the Upper Great Lakes.

Tags: canada, cmgp, coastal-and-marine-geology-program, esri-shapefile, geology, geoscientificinformation, geospatial-datasets, grab-sample, grain-size, grain-size-analysis, great-lakes, inlandwaters, lake-huron, lakebed-characteristics, location, michigan, navigation, navigational-data, north-america, ontario, seabed-observation-and-sampling-system, seaboss, sediment, st-clair-river, u-s-geological-survey, united-states, upper-great-lakes, upper-st-clair-river, usgs, usgs-db707eaf-53bd-41b2-b1ce-e0e8d7b1bd10, usgs-r-v-rafael, van-veen-grab-sampler, whcmsc, whcmsc-field-activity-serial-number-08016, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
USGS National Structures Dataset - USGS National Map Downloadable Data Collection

USGS Structures from The National Map (TNM) consists of data to include the
                name, function, location, and other core information and characteristics of selected
                manmade facilities across all US states and territories. The types of structures 
                collected are largely determined by the needs of disaster planning and emergency response, 
                and homeland security organizations. Structures currently included are: School, 
                School:Elementary, School:Middle, School:High, College/University, Technical/Trade School, 
                Ambulance Service, Fire Station/EMS Station, Law Enforcement, Prison/Correctional Facility, 
                Post Office, Hospital/Medical Center, Cabin, Campground, Cemetery, Historic Site/Point of Interest, 
                Picnic Area, Trailhead, Vistor/Information Center, US Capitol, State Capitol, US Supreme Court, 
                State Supreme Court, Court House, Headquarters, Ranger Station, White House, and City/Town Hall.
                Structures data are designed to be used in general mapping and in the analysis of
                structure related activities using geographic information system technology. Included is a feature
                class of preliminary building polygons provided by FEMA, USA Structures. The National Map structures 
                data is commonly combined with other data themes, such as
                boundaries, elevation, hydrography, and transportation, to produce general reference
                base maps. The National Map viewer allows free downloads of public domain structures
                data in either Esri File Geodatabase or Shapefile formats. For additional
                information on the structures data model, go to
                https://www.usgs.gov/ngp-standards-and-specifications/national-map-structures-content.

Tags: ambulance-service, cabin, campground, cemetery, city-town-hall, college-university, court-house, fire-station-ems-station, headquarters, historic-site-point-of-interest, hospital-medical-center, law-enforcement, national-geospatial-data-asset, national-structures-dataset-nsd, ngda, ngdaid135, picnic-area, post-office, prison-correctional-facility, ranger-station, real-property-theme, school, school-elementary, school-high-school, school-middle-school, state-capitol, state-supreme-court, structure, technical-trade-school, trailhead, united-states, us, us-capitol, us-supreme-court, usgs-db4fb1b6-1282-4e5b-9866-87a68912c5d1, visitor-information-center, white-house
Organization: Department of the Interior
Composite Grayscale Image of the Sidescan Sonar Data From National Oceanic and Atmospheric Administration (NOAA) Survey H11076 of the Sea Floor in Quicks Hole, MA (H11076_GEO_1MSSS.TIF, Geographic)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone Management (MA CZM), is producing detailed geologic maps of the coastal sea floor. Imagery, originally collected by NOAA for charting purposes, provide a fundamental framework for research and management activities along this part of the Massachusetts coastline, show the composition and terrain of the seabed, and provide information on sediment transport and benthic habitat. Interpretive data layers were derived from multibeam echo-sounder and sidescan sonar data collected in the vicinity of Quicks Hole, a passage through the Elizabeth Islands that extend in a chain southwestward off Cape Cod, Massachusetts.  In June 2005, bottom photographs and surficial sediment data were acquired as part of a ground-truth reconaissance survey.

Tags: atlantic-ocean, cape-cod, cmgp, coastal-and-marine-geology-program, distributions, elizabeth-islands, geoscientificinformation, geotiff, h11076, image-mosaics, imagerybasemapsearthcover, klein-5250, marine-geophysics, massachusetts, national-oceanic-and-atmospheric-administration, noaa, noaa-survey-h11076, north-america, oceans, open-file-report-2006-1357, physical-habitats-and-geomorphology, quicks-hole, sea-floor-acoustic-reflectivity, sea-floor-characteristics, seabed, sidescan-sonar, u-s-east-coast, u-s-geological-survey, united-states, usgs, usgs-db4fa99b-985d-4756-8ae0-baa21d870975, whsc, woods-hole-science-center
Organization: Department of the Interior
Sediment Data Produced by the Bigelow Laboratory (BIGELOW shapefile)

The data in this layer are from a number of published and unpublished sets produced by the Bigelow Laboratory.  The source projects were conducted primarily to examine contaminant (e.g. trace metals, PAHs) distributions, but also produced sediment textural data. The data were originally converted into digital format for inclusion in the Gulf of Maine Contaminated Sediments Database.

Tags: bigelow-laboratory, classification, clay, cmgp, coastal-and-marine-geology-program, continental-shelf, fines, geographic-information-system, geoscientificinformation, geospatial-datasets, gis, grain-size-analysis, gravel, gulf-of-maine, lithology, location, maine, marine-geology, navigational-data, new-england, north-america, oceans, open-file-report-03-001, point-shapefile, points, sand, sea-floor-characteristics, sediment, sediment-classification, silt, statistics, surficial-classification, texture, u-s-east-coast, u-s-geological-survey, united-states, usa, usgs, usgs-db34b7bf-71f7-4fb3-a5da-e2888d771736, whsc, woods-hole-science-center
Organization: Department of the Interior
Projections of shoreline change of current and future (2005-2100) sea-level rise scenarios for North Carolina and South Carolina

This dataset contains projections of shoreline change and uncertainty bands for future scenarios of sea-level rise (SLR). Scenarios include 25, 50, 75, 100, 150, 200, and 300 centimeters (cm) of SLR by the year 2100. Output for SLR of 0 cm is also included, reflective of conditions in 2005, in accordance with recent SLR projections and guidance from the National Oceanic and Atmospheric Administration (NOAA; see process steps). Projections were made using the Coastal Storm Modeling System - Coastal One-line Assimilated Simulation Tool (CoSMoS-COAST), a numerical model (described in Vitousek and others, 2017; 2021; 2023) run in an ensemble forced with global-to-local nested wave models and assimilated with satellite-derived shoreline (SDS) observations. Shoreline positions from models are generated at pre-determined cross-shore transects and output includes different cases covering important model behaviors (cases are described in process steps of metadata; see citations listed in the Cross References section for more details on the methodology and supporting information). This model shows change in shoreline positions along transects, considering sea level, wave conditions, along-shore/cross-shore sediment transport, long-term trends due to sediment supply, and estimated variability due to unresolved processes (as described in Vitousek and others, 2021). Variability associated with complex coastal processes (for example, beach cusps/undulations and shore-attached sandbars) are included via a noise parameter in a model, which is tuned using observations of shoreline change at each transect and run in an ensemble of 200 simulations; this approach allows for a representation of statistical variability in a model that is assimilated with sequences of noisy observations. The model synthesizes and improves upon numerous, well-established shoreline models in the scientific literature; processes and methods are described in this metadata (see lineage and process steps), but also described in more detail in Vitousek and others 2017, 2021 and 2023. KMZ data are readily viewable in Google Earth. For best display of results, it is recommended to turn off any 3D features or terrain. For technical users and researchers, shapefile and KMZ data can be ingested into geographic information system (GIS) software such as Global Mapper or QGIS.

Tags: climate-change, climatologymeteorologyatmosphere, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-erosion, erosion, extreme-weather, hazards-planning, ocean-waves, oceans, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, sea-level-change, sea-level-rise, state-of-north-carolina, state-of-south-carolina, storms, u-s-geological-survey, usgs, usgs-db2ce473-3d12-4696-956d-ba3102209f48, waves
Organization: Department of the Interior
Sea Turtle Nesting Decision Points and Cross-Shore Beach Profile Data Collected on May 23, 2019, from Jensen Beach, Florida

On May 23, 2019, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Jensen Beach, Florida. This dataset, Jensen_20190523.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown and others, 2018), data were acquired by USGS scientists walking along cross-shore transect lines while carrying a survey backpack that was equipped with a Global Navigation Satellite System (GNSS) receiver and GNSS antenna. The horizontal position data are provided in the Universal Transverse Mercator (UTM) coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD83), and the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD88), GEOID12B.

Tags: altimetry, beach, cmhrp, coastal-and-marine-hazards-and-resources-program, distributions, earth-science-gt-land-surface-gt-topography-gt-terrain-elevation, earth-science-gt-oceans-gt-coastal-processes-gt-beaches, elevation, elevation-data, florida, geology, geomorphology, geoscientificinformation, global-navigation-satellite-system-gnss-observations, gnss-measurement, marine-geology, oceans, providers-gt-government-agencies-u-s-federal-agencies-gt-doi-gt-usgs-gt-doi-usgs-cmg, south-atlantic, spcmsc, st-petersburg-coastal-and-marine-science-center, topographic-mapping, topography, u-s-geological-survey, united-states, usgs, usgs-db11e238-51ed-4e30-b6e5-58a2f679629b
Organization: Department of the Interior
MODFLOW and MODFLOW Conduit Flow Process data sets for simulation experiments of the Woodville Karst Plain, near Tallahassee, Florida with three different approaches and different stress periods

This Data Release has 18 different groundwater flow simulation applications for the Woodville Karst Plain area 
near Tallahassee Florida with three variations of distributed parameter model approach.  The site model files 
provided include both calibrated and uncalibrated simulations of various steady-state and transient hydrologic 
conditions. Simulations were accomplished with equivalent porous media models that allow laminar flow only 
(MODFLOW) or laminar and non-laminar flow in a model layer (MODFLOW-CFP mode 2) and hybrid model 
simulations (MODFLOW-CFP mode 1 one-dimensional pipe network linked to equivalent porous media model). 
The test examples of the application of equivalent porous media model (the sponge) with and without turbulence 
and a hybrid model (sponge with pipes) to the Woodville Karst Plain near Tallahassee, Florida, indicated that for 
annual, monthly, or seasonal average hydrologic conditions, all methods met calibration criteria (matched 
observed water levels and average flow). Thus, the increased effort, such as the collection of data on conduit 
location and the computational time of a hybrid model, is not necessary for simulation of average hydrologic 
conditions (simulation of non-laminar flow was not critical). However, simulation of a large storm event in the 
Woodville Karst Plain with daily stress periods (52-day period beginning August 13, 2008) indicated that 
turbulence is important for matching daily springflow hydrographs and models calibrated to average conditions 
did not match daily storm spring hydrographs. All models were developed from an equivalent porous media 
model for the area calibrated by J. Hal Davis, USGS, Tallahasee Florida Office that is documented in Davis, 
J.H., Katz, B.G., and Griffin, D.W., 2010, Nitrate-N movement in groundwater from the land application of 
treated municipal wastewater and other sources in the Wakulla Springs springshed, Leon and Wakulla 
Counties, Florida, 1966–2018: U.S. Geological Survey Scientific Investigations Report 2010–5099, 90 p. 
(https://pubs.usgs.gov/sir/2010/5099/). The hybrid model was developed by Josue J. Gallegos and documented 
in  Gallegos, J.J., Hu, B.X., and Davis, Hal, 2013, Simulating flow in karst aquifers at laboratory and 
sub-regional scales using MODFLOW-CFP: Hydrogeology Journal, v. 21, no. 8, p. 1749–1760.

Tags: environment, florida, floridan-aquifer, geoscientificinformation, groundwater, groundwater-simulation, inlandwaters, karst, leon-county, modflow, modflow-cfp, tallahassee, usgs-db10c477-1304-4695-ace9-2ab50bed6212, usgsgroundwatermodel, wakulla-county, wakulla-springs, woodville-karst-plain
Organization: Department of the Interior
Location of bottom photographs from the Mini-SeaBOSS sampling system from Boston Harbor and Approaches (USGS Field Activity 04019) (BOTTOMPHOTOS, UTM 19, WGS84)

This data set includes the locations and hotlinks to photographs of the seafloor in Boston Harbor and the harbor approaches, Massachusetts. The photos were taken using the mini-SEABOSS system during USGS survey 04019, conducted September 14-17, 2004.

Tags: arcview-shapefile, atlantic-ocean, boston, boston-harbor, boston-harbor-islands, bottom-photographs, bottom-photos, cmgp, coastal-and-marine-geology-program, czm, environment, field-activity-number-04019, geoscientificinformation, geospatial-datasets, ground-truth, hubline, hull, hydrographic-survey, location, massachusetts-bay, massachusetts-office-of-coastal-zone-management, nahant, national-ocean-service, national-oceanic-and-atmospheric-administration, navigational-data, noaa, noaa-ship-whiting, nos, oceans, photo, rv-rafael, sea-floor, seafloor, small-seaboss-sampler, stations, u-s-geological-survey, underwater-photography, usgs, usgs-db0f03f8-7ef8-4b36-8aa7-f73013e059d5, whsc, woods-hole-science-center
Organization: Department of the Interior
DS-777 Average Annual Precipitation data, 1940 to 1949, in inches estimated from the Parameter-Elevation Regressions on Independent Slopes Model (PRISM) for the High Plains Aquifer in Parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming

The water-budget components geodatabase contains selected data from maps in the, 
"Selected Approaches to Estimate Water-Budget Components of the High Plains, 1940 
through 1949 and 2000 through 2009" report (Stanton and others, 2011).Data were 
collected and synthesized from existing climate models including the Parameter-Elevation 
Regressions on Independent Slopes Model (PRISM) (Daly and others, 1994), and the Snow 
accumulation and ablation model (SNOW-17) (Anderson, 2006), and used in soil-water 
balance models to compute various components of a water budget. The methodologies 
used to compute the averages and volumes for the data in this geodatabase are slightly 
different for different components and models.

Tags: aquifers, central-high-plains, colorado, environment, geoscientificinformation, great-plains, ground-water, groundwater, high-plains, high-plains-aquifer, inlandwaters, kansas, nebraska, new-mexico, northern-high-plains, ogallala-aquifer, oklahoma, precipitation, south-dakota, southern-high-plains, texas, usgs-db072ee1-887b-4321-8f3d-cf18830e7a34, wyoming
Organization: Department of the Interior
EAARL Submarine Topography-Florida Keys National Marine Sanctuary

Lidar is a remote sensing technique that uses laser light to detect, range, or identify remote objects based on light reflected by the object or emitted through its subsequent fluorescence. Airborne ranging Lidar is now being applied in coastal environments to produce accurate, cost-efficient elevation datasets with high spatial density.  The USGS in cooperation with NASA, NOAA, and NPS is using airborne Lidar to measure the submerged topography of the northern Florida reef tract; secondarily, the data will be assessed for its potential in terms of benthic characterization.  Elevation measurements were collected over part of the Florida Keys National Marine Sanctuary (FKNMS) using the NASA Experimental Advanced Airborne Research Lidar (EAARL), a pulsed laser ranging system mounted onboard an aircraft to measure subaerial and submarine topography. The system uses a high frequency laser beam directed at the earth's surface through an opening in the bottom of the aircraft's fuselage. The laser system records the time difference between emission of the laser beam and the reception of the reflected laser signal in the aircraft. The EAARL system, developed by the NASA Wallops Flight Facility (WFF) in Virginia, measures ground elevation with a vertical resolution of roughly 15 centimeters.  A sampling rate of up to 3 kHz results in an extremely dense spatial elevation data set. The EAARL system is typically flown at 300 m altitude AGL, resulting in a 240 m swath for each flightline. Data collection occurred with approximately 50% overlap between flightlines, resulting in about one laser sounding per square meter. The data were processed by the USGS FISC (St. Petersburg office) to produce 1 meter resolution raster images that can be easily ingested into a Geographic Information System (GIS).  The data were organized as 2 km by 2 km data tiles in 32 bit floating-point integer GeoTIFF format.
For more information on Lidar science and the Experimental Advanced Airborne Research Lidar (EAARL) system and surveys, see http://ngom.usgs.gov/dsp/overview/index.php and http://ngom.usgs.gov/dsp/tech/eaarl/index.php .

Tags: altimetry, bathymetry-and-elevation, digital-elevation-models, distributions, elevation, florida, florida-keys, florida-keys-national-marine-sanctuary, lidar, lidar-experimental-advanced-airborne-research-lidar-digital-elevation-model-elevation-change-la, topographic-mapping, topography, united-states, usgs-db0195a0-794c-4617-91bb-c7504d0242d0
Organization: Department of the Interior
SEABOSS Images from the Cruise 2012-002-FA in Block Island Sound, in JPEG Format

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetric and sidescan-sonar data, originally collected by NOAA for charting purposes, provide a fundamental framework for research and management activities along this part of Block Island Sound, show the composition and terrain of the seabed, and provide information on sediment transport and benthic habitat. During June 2012, bottom photographs and surficial sediment data were acquired as part of a ground-truth reconnaissance survey of this area. Interpretations were derived from the multibeam-echosounder, sidescan-sonar, sedimentary, and photographic data collected in Block Island Sound. For more information on the ground-truth survey see &lt;http://woodshole.er.usgs.gov/operations/ia/public_ds_info.php?fa=2012-002-FA&gt;.

Tags: atlantic-ocean, block-island-sound, bottom-photographs, cmgp, coastal-and-marine-geology-program, digital-photo, field-activity-number-2012-002-fa, geoscientificinformation, ground-truth, image-collections, imagerybasemapsearthcover, info-bank-id-r-02-12-li, jpeg, marine-geology, navigational-data, north-america, northeast-united-states, oceans, ofr-2013-1003, open-file-report-2013-1003, r-v-rafael, rhode-island, sea-floor, sea-floor-characteristics, seabed-observation-and-sampling-system, seaboss, stations, u-s-geological-survey, underwater-photography, united-states, usgs, usgs-daf17e23-efc7-411a-958a-7b7b3b6d4514, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior