AndreaBozzo/ceres-open-data-index huggingface dataset:
Interpretation of Bottom Features from National Oceanic and Atmospheric Administration (NOAA) Survey H12296 in Block Island Sound (H12296_INTERP shapefile, Geographic, WGS 84)

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, bedforms, block-island-sound, boulders, cmgp, coastal-and-marine-geology-program, erosional-outliers, esri-shapefile, field-activity-number-2012-002-fa, geoscientificinformation, geospatial-datasets, h12296, info-bank-id-r-02-12-li, interpretations, marine-geology, national-oceanic-and-atmospheric-administration, noaa, noaa-survey-h12296, north-america, oceans, polygon-shapefile, rhode-island, sand-waves, scientific-interpretation, scour-depressions, sea-floor-characteristics, trawl-marks, u-s-east-coast, u-s-geological-survey, united-states, usgs, usgs-932d57c2-6224-4557-a9f2-3a93c6331db9, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
ArcHydro 8-digit HUC datasets for Hawaii StreamStats

These datasets each consist of a workspace (folder) containing a
collection of gridded datasets plus a personal geodatabase containing
several vector datasets. These datasets are designed to be used with
the ArcHydro Tools, developed by ESRI in partnership with the U.S.
Geological Survey, StreamStats Development Team. The datasets, together
with the ArcHydro Tools, allow users to delineate watersheds and compute
several watershed characteristics. The datasets are distributed in
folders named for the 8-digit Hydrologic Unit Code (HUC) each covers.
The data structure is the same for each HUC. For Hawaii, the HUCs included
correspond to the five largest islands.

Tags: aspect, elevation, forest, geoscientific-information, hawaii, inland-waters, inlandwaters, land-cover, north-america, precipitation, slope, streamflow-statistics, streamstats, united-states, united-states-of-america, usgs-9320cb9d-ad73-4401-8e25-d15a8e7308f4
Organization: Department of the Interior
Raw and modified raw continuous resistivity profile data collected in Northport Harbor on Long Island, New York on May 13, 2008

An investigation of coastal groundwater systems was performed along the north shore of Long Island, New York during May 2008 to constrain nutrient delivery to Northport Harbor and Manhasset Bay by delineating locations of likely groundwater discharge. The embayments are bounded by steep moraines and are underlain by thick fine-grained sediments deposited in proglacial lakes during the last ice age. Beach sand and gravel overlie the glacial deposits along the coast. The continuous resistivity profiling (CRP) surveys that were conducted indicate the existence of low-salinity groundwater in shore-parallel bands, typically 25 to 50 meters wide, along the shorelines of both bays. Piezometer sampling and seepage meter deployments in intertidal and subtidal areas of the two bays confirmed the presence and discharge of brackish and low-salinity groundwater. The large tidal ranges (up to 3 meters), and the steep onshore topography and hydraulic gradients are important variables controlling coastal groundwater discharge in these areas. For more information on the survey involved in this project, see https://cmgds.marine.usgs.gov/fan_info.php?fan=2008-007-FA.

Tags: agi-supersting, bathymetry, cmgp, coastal-and-marine-geology-program, continuous-resistivity-profile, continuous-resistivity-profiling, crp, elevation, field-activity-number-2008-007-fa, geoscientificinformation, groundwater, info-bank-id-t-1-08-li, location, long-island, long-island-sound, lowrance-gps, navigation, navigational-data, new-york, north-america, north-atlantic, northport-harbor, oceans, r-v-terrapin, raw-data, submarine-groundwater, suffolk-county, u-s-geological-survey, united-states, usgs, usgs-931aca9f-9caf-4c7c-ac54-836f4f4ecba5, water-temperature, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Terrestrial-Based Lidar Beach Topography of Fire Island, New York, June 2014

The U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) in Florida and the USGS Lower Mississippi-Gulf Water Science Center (LMG WSC) in Montgomery, Alabama, collaborated to gather alongshore terrestrial-based lidar beach elevation data at Fire Island, New York. This high-resolution elevation dataset was collected on June 11, 2014, to characterize beach topography and document ongoing beach evolution and recovery, and is part of the ongoing beach monitoring within the Hurricane Sandy Supplemental Project GS2-2B. This USGS data series includes the resulting processed elevation point data (xyz) and an interpolated digital elevation model (DEM).

Tags: altimetry, bathymetry-and-elevation, digital-elevation-models, distributions, doi-usgs-cmg-gt-coastal-and-marine-geology-u-s-geological-survey-u-s-department-of-interior, elevation-data, fire-island, fire-island-national-seashore, ground-based-lidar, hurricane-sandy-supplemental-fire-island, land-surface-gt-topography-gt-terrain-elevation, lidar, long-island, new-york, ocean-gt-coastal-processes-gt-barrier-islands, ocean-gt-coastal-processes-gt-beaches, terrestrial-light-detection-and-ranging-system-t-lidar, topographic-mapping, topography, u-s-geological-survey, united-states, usgs-93cafe25-3159-444c-9390-91e9b300338f
Organization: Department of the Interior
1999 Atlantic Coast NASA/NOAA/USGS ATM Lidar-Derived Dune Crest, Toe and Shoreline, post-Hurricane Floyd

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 1999 Atlantic Coast National Aeronautics and Space Administration (NASA), National Oceanic and Atmospheric Administration (NOAA), and U.S. Geological Survey (USGS) Airborne Topographic Mapper (ATM) lidar survey, post-Hurricane Floyd. 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, elevation, environment, geoscientificinformation, hazards, marine-geology, north-carolina, ocean-sciences, oceans, south-carolina, spcmsc, st-petersburg-coastal-and-marine-science-center, u-s-geological-survey, united-states-of-america, usgs, usgs-930d0789-1e3d-4657-8374-385f74aadf7a, virginia
Organization: Department of the Interior
Hurricane Joaquin Assessment of Potential Coastal Change Impacts: NHC Advisory 27, 0800 AM EDT SUN OCT 04 2015

This dataset defines storm-induced coastal erosion hazards for the North Carolina, Virginia, Maryland, Delaware, New Jersey, New York, Rhode Island and Massachusetts 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 Joaquin in October 2015. Storm-induced water levels, due to both surge and waves, were compared to beach and dune elevations to determine the probabilities of the 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, distributions, effects-of-coastal-change, elevation, environment, erosion, geoscientificinformation, hazards, hurricane-joaquin, hurricanes-and-typhoons, marine-geology, maryland, massachusetts, new-jersey, new-york, north-carolina, ocean-sciences, oceans, physical-habitats-and-geomorphology, rhode-island, 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-93015a38-de9c-4fd5-bebd-077896c2a389, virginia
Organization: Department of the Interior
HW2_Q46.TIF - Hawaii II - Central Hawaii U.S. EEZ GLORIA sidescan-sonar data mosaic (17 of 24) (LCC, 50 m, WGS84)

In 1984, the U.S. Geological Survey (USGS), Office of Marine Geology, launched a program using the Geological LOng-Range Inclined Asdic (GLORIA) sidescan-sonar system to study the entire U.S. Exclusive Economic Zone (EEZ). From 1988 through 1991, the USGS and IOS (Institute of Oceanographic Sciences, U.K.) scientists conducted several surveys within the U.S. EEZ off Hawaii. Nine surveys during that time period focused on the central Hawaii region. The results of these surveys were 24 digital mosaics of approximately a 2 degree by 2 degree area with a 50-meter pixel resolution.

Tags: acoustic-receivers, acoustic-reflectivity, backscatter, brooks-bank, cmgp, coastal-and-marine-geology-program, distributions, east-pacific-rise, eez, exclusive-economic-zone, exclusive-economic-zone-eez, french-frigate-shoals, gardner-pinnacles, geological-long-range-inclined-asdic, geoscientificinformation, geotiff-image, gloria, gloria-gt-geological-long-range-inclined-asdic, grey-scale-image, hawaii, hawaii-ecoregion, hawaiian-arch, hawaiian-emperor-chain, hawaiian-islands, hawaiian-ridge, hawaiian-trough, horizon-guyot, image-mosaics, imagerybasemapsearthcover, infobank-identifier-f-1-90-hw, infobank-identifier-f-1-91-cp, infobank-identifier-f-10-88-hw, infobank-identifier-f-10-91-hw, infobank-identifier-f-12-89-hw, infobank-identifier-f-13-89-hw, infobank-identifier-f-2-90-hw, infobank-identifier-f-5-91-cp, infobank-identifier-f-6-91-cp, kauai-fracture-zone, kure-island, marine-basin-floor, marine-geology, marine-geophysics, marine-oceanic, midway-island, molokai-fracture-zone, murray-fracture-zone, necker-ridge, nihoa-ridge, oceans, oceans-gt-ocean-acoustics-gt-acoustic-reflectivity, oceans-gt-pacific-ocean-gt-central-pacific-ocean-gt-hawaiian-islands, physical-habitats-and-geomorphology, sea-floor-acoustic-reflectivity, sea-floor-characteristics, seabed, side-scan-sonar, sidescan-sonar, sidescan-sonar-mosaic, st-rogatien-bank, u-s-geological-survey, usgs, usgs-92fe26ef-5137-41e9-b03b-ded224556bb6, wcmg, western-coastal-and-marine-geology, western-pacific-ocean
Organization: Department of the Interior
Unprocessed aerial imagery from 29 January 2021 coastal survey of Central California.

This is a set of 4919 oblique aerial photogrammetric images and their derivatives, collected from San Francisco to Big Sur with a fixed-lens digital camera from a crewed light aircraft, for processing using structure-from-motion photogrammetry and machine learning to study coastal geomorphic processes at high temporal and spatial resolution. JPG files in each folder follow the following naming convention: {CAM###}_{YYYYMMDDHHMMSS_ss}.jpg, where {CAM###} is the last 3 digits of the camera serial number, preceded by the letters "cam", and where {YYYYMMDDHHMMSS_ss} is the image acquisition time in {YearMonthDayHourMinuteSecond_hundredths} expressed in 24-hour time, as recorded by the camera's internal clock and written to the SubSecondDateTime field in the image EXIF data (for example CAM001_202009182311_50 would be the timestamp for an image with a SubSecondDateTime EXIF time/date stamp of September 18th, 2020 at 11:11.50 pm.

Tags: aerial-and-satellite-photography, aerial-photography, agents-of-coastal-change, anthropogenic-agents-of-coastal-change, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-development, coastal-ecosystems, coastal-erosion, coastal-landslides, coastal-processes, datasets, distributions, earth-sciences, ecology, environment, geography, geologic-processes, geology, geoscientificinformation, geospatial-datasets, habitat, image-analysis, image-collections, imagerybasemapsearthcover, infrastructure, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, remote-sensing, slope-processes, structures, u-s-geological-survey, united-states, united-states-and-territories, usgs, usgs-92faf864-65c0-444e-b320-daca6fa19861, visible-light-imaging
Organization: Department of the Interior
f690sc.m77t and f690sc.h77t: MGD77T data and header files for single-beam bathymetry data for field activity F-6-90-SC in Southern California, Monterey Canyon from 06/19/1990 to 07/12/1990

Single-beam bathymetry data along with Loran-C RHO-RHO and GPS navigation data was collected as part of the U.S. Geological Survey cruise F-6-90-SC. The cruise was conducted in Southern California, Monterey Canyon from June 19 to July 12, 1990. The chief scientists were Jim Gardner from the USGS Coastal and Marine Geology office in Menlo Park, CA and Doug Masson. The purpose of this cruise was to survey with midrange sidescan sonar (TOBI: towed ocean bottom instrument).The geophysical source was 12 kilohertz (kHz), 7 kHz, and 3.5 kHz systems.
These data are reformatted from space-delimited ASCII text files located in the Coastal and Marine Geology Program (CMGP) InfoBank field activity catalog at http://walrus.wr.usgs.gov/infobank/f/f690sc/html/f-6-90-sc.meta.html into MGD77T format provided by the NOAA's National Geophysical Data Center(NGDC). The MGD77T format includes a header (documentation) file (.h77t) and a data file (.m77t). More information regarding this format can be found in the publication listed in the Cross_reference section of this metadata file.

Tags: bathymetry, bathymetry-and-elevation, bathymetry-measurement, distributions, geoscientificinformation, marine-geology, marine-geophysics, monterey, monterey-canyon, north-pacific-ocean, oceans, seafloor-topography, single-beam-bathymetry, single-beam-echo-sounder, southern-california, state-of-california, usgs-92f52e10-37cb-4e8d-8adf-74d0cd921921, water-depth
Organization: Department of the Interior
Seismic Trackline Navigation: USF navigation of seismic data collected in the Pulley Ridge area in 1996 and 2001

These seismic data were collected to infer the paleodepositional environment of Pulley Ridge through seismic facies analysis.  Without actual rock cores, remote sensing is the next best tool.  It was uncertain if Pulley Ridge represented a drowned reef or paleoshoreline.  Through seismic imaging, it was determined from the high-amplitude, level-bedded nature of material in the sub-surface that Pulley Ridge represents several stages of barrier-island development.

Tags: boomer, cmgp, coastal-and-marine-geology-program, coral, coral-reef, florida, florida-shelf, geospatial-datasets, gulf-of-mexico, location, marine-geophysics, navigation, navigational-data, north-america, oceans, of-2005-1089, open-file-report, polyline, pulley-ridge, reef, seismic, seismic-reflection, shapefile, subbottom, submarine, u-s-geological-survey, united-states, usgs, usgs-95918eac-28f3-4b2c-8757-6ae304476fa7, woods-hole-science-center
Organization: Department of the Interior
HW3_Q53.TIF - Hawaii III - Northwestern Hawaii U.S. EEZ GLORIA sidescan-sonar data mosaic (1 of 22) (LCC, 50 m, WGS84)

In 1984, the U.S. Geological Survey (USGS), Office of Marine Geology, launched a program using the Geological LOng-Range Inclined Asdic (GLORIA) sidescan-sonar system to study the entire U.S. Exclusive Economic Zone (EEZ). From 1989 through 1991, the USGS and IOS (Institute of Oceanographic Sciences, U.K.) scientists conducted several surveys within the EEZ off Hawaii. Six surveys during that time period focused on the northwestern Hawaii region. The results of these surveys were 22 digital mosaics of approximately of approximately a 2 degree by 2 degree area with a 50-meter pixel resolution.

Tags: acoustic-receivers, acoustic-reflectivity, backscatter, central-pacific-ocean, cmgp, coastal-and-marine-geology-program, distributions, eez, exclusive-economic-zone, exclusive-economic-zone-eez, field-activity-number-f-1-90-hw, field-activity-number-f-10-91-hw, field-activity-number-f-13-89-hw, field-activity-number-f-2-90-hw, field-activity-number-f-5-91-cp, field-activity-number-f-6-91-cp, geological-long-range-inclined-asdic, geoscientificinformation, geotiff-image, gloria, gloria-gt-geological-long-range-inclined-asdic, grey-scale-image, hawaii, hawaii-ecoregion, hawaiian-emperor-chain, hawaiian-islands, hawaiian-ridge, image-mosaics, imagerybasemapsearthcover, kure-island, lisianski-island, marine-basin-floor, marine-geology, marine-geophysics, marine-oceanic, midway-islands, nero-seamount, neva-shoal, ocean-gt-pacific-ocean, ocean-gt-pacific-ocean-gt-central-pacific-ocean, oceans, oceans-gt-ocean-acoustics-gt-acoustic-reflectivity, oceans-gt-pacific-ocean-gt-central-pacific-ocean-gt-hawaiian-islands, pearl-and-hermes-shelf, physical-habitats-and-geomorphology, pioneer-bank, salmon-bank, sea-floor-acoustic-reflectivity, sea-floor-characteristics, seabed, side-scan-sonar, sidescan-sonar, sidescan-sonar-mosaic, u-s-geological-survey, usgs, usgs-92bc6182-e48f-4619-a116-2571833921ca, wcmg, western-coastal-and-marine-geology
Organization: Department of the Interior
LANDFIRE Remap Anderson Fire Behavior Fuel Model (FBFM13) Micronesia

LANDFIRE’s (LF) 2016 Remap (Remap) Anderson Fire Behavior Fuel Model 13 (FBFM13) product represents distinct distributions of fuel loadings found among surface fuel components (live and dead), size classes, and fuel types (Anderson 1982). The fuel models are described by the most common fire carrying fuel type (grass, brush, timber, or slash), loading and surface area-to-volume ratio by size class and component, fuel bed depth, and moisture of extinction. FBFM13 can be used for fire spread related characteristic models. 
LF Remap used vegetation products and 10-years of disturbance data to create Fuel Vegetation Type (FVT), Fuel Vegetation Cover (FVC), and Fuel Vegetation Height (FVH) for disturbed areas to represent pre-disturbance scenarios in FBFM13. A combination of pre-disturbance and non-disturbance Existing Vegetation Type (EVT) are used to assign surface fuel models. FBFM13 was developed using the most recent 10 years of Annual Disturbance products and is a capable fuels product that calculates Time Since Disturbance (TSD) assignments for disturbed areas using an "effective year." For example, year 2020 fuels may be calculated for the year 2020. the new process considers all the existing disturbances included in LF Remap and adjusts the TSD for these to the effective year (2020 in the example), making the products "2020 capable fuels." More information about capable fuels can be found at https://www.landfire.gov/lf_remap.php.

Tags: anderson-fire-behavior-fuel-model, biota, fbfm, fbfm13, federated-states-of-micronesia, fire-behavior-fuel-model-13, fires, geographic-information-systems, geospatial-datasets, hazard-preparedness, ia, image-collections, imagerybasemapsearthcover, insular-areas, landfire-2016-remap, lf-2016-remap, micronesia, oconus, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-92aad05a-e448-4a55-9571-7ae0fafb0d60
Organization: Department of the Interior
Sea Turtle Nesting Decision Points and Cross-Shore Beach Profile Data Collected on July 20, 2022, from Jupiter Island, Florida

On July 20, 2022, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Jupiter Island, Florida. This dataset, Jupiter_20220720.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-928aa2e6-cf73-4221-a487-120cde00b364
Organization: Department of the Interior
Unprocessed aerial imagery from 5 April 2017 coastal survey of Central California.

This is a set of 5044 oblique aerial photogrammetric images and their derivatives, collected from San Francisco to Cape San Martin with a fixed-lens digital camera from a crewed light aircraft, for processing using structure-from-motion photogrammetry and machine learning to study coastal geomorphic processes at high temporal and spatial resolution. JPG files in each folder follow the following naming convention: {CAM###}_{YYYYMMDDHHMMSS_ss}.jpg, where {CAM###} is the last 3 digits of the camera serial number, preceded by the letters "cam", and where {YYYYMMDDHHMMSS_ss} is the image acquisition time in {YearMonthDayHourMinuteSecond_hundredths} expressed in 24-hour time, as recorded by the camera's internal clock and written to the SubSecondDateTime field in the image EXIF data (for example CAM001_202009182311_50 would be the timestamp for an image with a SubSecondDateTime EXIF time/date stamp of September 18th, 2020 at 11:11.50 pm.

Tags: aerial-and-satellite-photography, aerial-photography, agents-of-coastal-change, anthropogenic-agents-of-coastal-change, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-development, coastal-ecosystems, coastal-erosion, coastal-landslides, coastal-processes, datasets, distributions, earth-sciences, ecology, environment, geography, geologic-processes, geology, geoscientificinformation, geospatial-datasets, habitat, image-analysis, image-collections, imagerybasemapsearthcover, infrastructure, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, remote-sensing, slope-processes, structures, u-s-geological-survey, united-states, united-states-and-territories, usgs, usgs-926e37b1-7fb4-4469-ab53-17daeff5578a, visible-light-imaging
Organization: Department of the Interior