AndreaBozzo/ceres-open-data-index huggingface dataset:
Modeled and Observed Weekly Mean Wave Height for Validation of a Wave Exposure Model of Grand Bay, Mississippi

Coastal marshes are highly dynamic and ecologically important ecosystems that are subject to pervasive and often harmful disturbances, including shoreline erosion. Shoreline erosion can result in an overall loss of coastal marsh, particularly in estuaries with moderate- or high-wave energy. Not only can waves be important physical drivers of shoreline change, they can also influence shore-proximal vertical accretion through sediment delivery. For these reason, estimates of wave energy can provide a quantitative measure of wave effects on marsh shorelines. Since wave energy is difficult to measure at all locations, scientists and managers often rely on hydrodynamic models to estimate wave properties at different locations. The Wave Exposure Model (WEMo) is a simple tool that uses linear wave theory to estimate wave energy characteristics for enclosed and semi-enclosed estuaries(Malhotra and Fonseca, 2007). The interpretation of hydrodynamic models is improved if model results can be validated against measured data. The data presented in this publication are input and validation data for modeled and observed mean wave height for two temporary oceanographic stations established by the U.S. Geological Survey (USGS) in the Grand Bay National Estuarine Research Reserve, Mississippi.

Tags: al, alabama, bathymetry, boundaries, coastal-processes, digital-elevation-models, environment, geoscientificinformation, grand-bay-national-estuarine-research-reserve, gulf-of-mexico, hydrodynamic-modeling, hydrodynamics, mississippi, ms, ocean-waves, oceanographic-measurements, oceans, usa, usgs-a58c1dd1-2d8d-4aae-8db8-11c0066f87e9, wave-exposure-model-wemo, waves
Organization: Department of the Interior
SOCAL_INTERSECTS_ST - Short-Term Transect-Shoreline Intersection Points for Southern California Generated to Calculate Shoreline Change Rates

Rates of long-term and short-term shoreline change were generated in a GIS using the Digital Shoreline Analysis System (DSAS) version 3.0; An ArcGIS extension for calculating shoreline change: U.S. Geological Survey Open-File Report 2005-1304, Thieler, E.R., Himmelstoss, E.A., Zichichi, J.L., and Miller, T.M. The extension is designed to efficiently lead a user through the major steps of shoreline change analysis. This extension to ArcGIS contains three main components that define a baseline, generate orthogonal transects at a user-defined separation along the coast, and calculate rates of change (linear regression, endpoint rate, average of rates, average of endpoints, jackknife).

Tags: baseline, beach-erosion, beach-nourishment, california, cmgp, coastal-and-marine-geology-program, coastal-processes, coastal-survey-map, continental-island-shore-complex, effects-of-coastal-change, endpoint-rate, environment, erosion, esri-polyline-shapefile, geoscientificinformation, historic-shoreline, lidar, linear-regression-rate, oceans, shoreline, shoreline-accretion, shoreline-change-rate, shoreline-erosion, southern-california-bight-ecoregion, t-sheet, tp-sheet, u-s-geological-survey, united-states, usgs, usgs-a582fc10-3bb3-426c-b938-9502146ef473
Organization: Department of the Interior
Hurricane Maria Assessment of Potential Coastal Change Impacts: NHC Advisory 41, 0800 AM EDT TUE SEPT 26 2017

This dataset defines storm-induced coastal erosion hazards for the North Carolina, Virginia, Maryland and Delaware 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 Maria in September 2017. 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-maria, hurricanes-and-typhoons, marine-geology, maryland, north-carolina, 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-a57d2883-b25a-4049-bf5a-058e76a66330, virginia
Organization: Department of the Interior
Airborne geophysical survey: Northern Alaska

Aeromagnetic data were collected along flight lines by instruments in an aircraft that recorded magnetic-field intensity values and location. In surveys such as this one where the data were originally collected in digital form and not digitized from contour maps, the information we provide typically includes latitude, longitude, magnetic anomaly in nanoTeslas, and intermediate values used to derive the magnetic anomaly such as total magnetic field.

Tags: aeromagnetic-surveying, field-monitoring-stations, geophysics, geospatial-datasets, magnetic-field-earth, usgs-a57aae70-4529-408e-b9a1-ae8888ce7aec
Organization: Department of the Interior
Tyndall_2022_MBES: High-resolution Geophysical Data Collected in June 2022 Near Tyndall Air Force Base, Panama City, Florida

An Ellipsoidally Referenced Survey (ERS) using two Teledyne Reson SeaBat T50-P multibeam echosounders, in dual-head configuration, was conducted by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) nearshore Tyndall Air Force Base, Panama City, Florida, from June 20-30, 2022. This dataset, Tyndall_2022_MBES_xyz.zip, includes the processed elevation point data (x,y,z), as derived from a 1-meter (m) bathymetric grid, and the dataset Tyndall_2022_MBES_Backscatter.zip includes the acoustic backscatter intensity data in 32-bit floating point GeoTIFF (Tag Image File Format, .tiff) format.

Tags: applanix-pos-mv-wavemaster-ii, bathymetry, bay-county, east-bay, elevation, geophysics, geoscientificinformation, hydrography, imagerybasemapsearthcover, location, marine-geology, marine-geophysics, multibeam-sonar, ocean-characteristics, ocean-processes, oceans, sea-floor-acoustic-reflectivity, seafloor-mapping, spcmsc, st-petersburg-coastal-and-marine-science-center, state-of-florida, teledyne-reson-t50-p, tyndall-air-force-base, u-s-geological-survey, usgs, usgs-a5759797-838c-480d-bc70-73713731b778
Organization: Department of the Interior
OahuS_shorelines - Shorelines of the southern coastal region of Oahu, Hawaii, from Barbers Point to Sandy Beach, used in shoreline change analysis.

Sandy ocean beaches are a popular recreational destination, often surrounded by communities containing valuable real estate.  Development is on the rise despite the fact that coastal infrastructure is subjected to flooding and erosion.  As a result, there is an increased demand for accurate information regarding past and present shoreline changes.  To meet these national needs, the Coastal and Marine Geology Program of the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data along open-ocean sandy shores of the conterminous United States and parts of Alaska and Hawaii under the National Assessment of Shoreline Change project.  Shoreline vectors derived from historic and modern sources represent the low water mark (beach toe).
There is no widely accepted standard for analyzing shoreline change.  Existing shoreline data measurements and rate calculation methods vary from study to study and prevent combining results into state-wide or regional assessments.  The impetus behind the National Assessment project was to develop a standardized method of measuring changes in shoreline position that is consistent from coast to coast.  The goal was to facilitate the process of periodically and systematically updating the results in an internally consistent manner.

Tags: barbers-point-hawaii, cmgp, coastal-and-marine-geology-program, coastal-processes, continental-island-shore-complex, digital-shoreline-analysis-system, dsas, effects-of-coastal-change, environment, erosion, geoscientificinformation, hawaii-coast, hawaii-ecoregion, national-assessment-of-shoreline-change-project, national-oceanic-and-atmospheric-administration, noaa, oahu, oceans, sandy-beach-hawaii, shoreline-accretion, shoreline-change-rate, shoreline-erosion, south-oahu-coast, u-s-army-corps-of-engineers, u-s-geological-survey, united-states, university-of-hawaii, usace, usgs, usgs-a56977e9-14b1-40cb-9217-e21817ec2806, weighted-linear-regression-rate, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Color Shaded-Relief GeoTIFF Image Showing the 2-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H12296 in Block Island Sound (H12296_MB2M_GEO.TIF, 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, bathymetry, block-island-sound, cmgp, coastal-and-marine-geology-program, computational-methods, elevation, geospatial-datasets, geotiff, h12296, hill-shaded, imagerybasemapsearthcover, info-bank-id-r-02-12-li, marine-geophysics, multibeam-bathymetry, multibeam-sonar, national-oceanic-and-atmospheric-administration, noaa, noaa-survey-h12296, north-america, oceans, reson-7125, rhode-island, sea-floor-characteristics, u-s-east-coast, u-s-geological-survey, united-states, usgs, usgs-a559d822-bc2e-42e7-9621-9859185e591a, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Ground-Based Bathymetric Data Collected within Bellport Bay, New York, (2014) in XYZ ASCII Text File Format

Scientists from the U.S. Geological Survey St. Petersburg Coastal
and Marine Science Center in St. Petersburg, Florida, conducted a
bathymetric survey of Fire Island, New York, from October 5 to 10,
2014. The U.S. Geological Survey is involved in a post-Hurricane
Sandy effort to map and monitor the morphologic evolution of the
wilderness breach, which formed in October 2012 during Hurricane
Sandy, as part of the Hurricane Sandy Supplemental Project GS2-2B.
During this study, bathymetry data were collected, using single-beam
echo sounders and global positioning systems mounted to personal
watercraft, along the Fire Island shoreface and within the
wilderness breach, Fire Island Inlet, Narrow Bay, and Great South
Bay east of Nicoll Bay. Additional bathymetry and elevation data
were collected using backpack and wheel-mounted global positioning
systems along the subaerial beach (foreshore and backshore), and
flood shoals and shallow channels within the wilderness breach and
adjacent shoreface.

Tags: 2014-325-fa, atlantic-ocean, backpack-gps, barrier-island, bathymetry, bellport-bay, breaches, cmgp, coastal-and-marine-geology-program, elevation, fire-island, fire-island-inlet, fire-island-national-seashore, geophysical, geoscientificinformation, great-south-bay, hurricane-sandy, hurricane-sandy-supplemental-fire-island, imagerybasemapsearthcover, mapping, marine-geology, narrow-bay, new-york, ny, oceans, otis-pike-fire-island-high-dune-wilderness, shoals, spcmsc, st-petersburg-coastal-and-marine-science-center, the-wilderness-breach, u-s-geological-survey, united-states, us, usgs, usgs-a531353c-3fbe-4d93-bb63-39d350f24ba5
Organization: Department of the Interior
Chincoteague Bay surface metals data from the spring sampling trip of 2014

Following Hurricane Sandy, scientists from the U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center conducted a seasonal collection of estuarine, marsh, and sandy overwash surface sediments from Chincoteague Bay, Tom’s Cove, and the surrounding Assateague Island and Delmarva Peninsula in March–April and October 2014. Surplus surface sediment was analyzed for metals, percent carbon and nitrogen, ?13C, and ?15N as part of a complementary U.S. Geological Survey Coastal and Marine Geology Program Sea-level and Storm Impacts on Estuarine Environments and Shorelines project study. The geochemical subsample analyzed for metals and stable isotopes at each site may be used for comparison with past data sets, to create a modern baseline of the natural distribution of the area, to understand seasonal variability as it relates to the health of the local environment, and to assess marsh-to-bay interactions. The use of metals, stable carbon, and stable nitrogen isotopes allows for a more cohesive snapshot of factors influencing the environment and could aid in tracking environmental change. This report serves as an archive for chemical data derived from the surface sediment. Data are available for a seasonal comparison between the March–April 2014 and October 2014 sampling trips. Downloadable data are available as Microsoft Excel spreadsheets. Additional files include formal Federal Geographic Data Committee metadata (data downloads).

Tags: april-2014, assateague-island, barrier-island, chincoteague-bay, environment, geoscientific-information, lagoon, march-2014, marsh, maryland, metals, sediment, st-petersburg-coastal-and-marine-science-center, surface, toms-cove, u-s-geological-survey, usgs, usgs-a52a8658-7d0d-4b67-a8c3-a48646800157, virginia
Organization: Department of the Interior
Sea Turtle Nesting Decision Points and Cross-Shore Beach Profile Data Collected on May 25, 2022, from Jupiter Island, Florida

On May 25, 2022, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Jupiter Island, Florida. This dataset, Jupiter_20220525.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-a52139f7-4607-4ca9-a1e1-742a834ae565
Organization: Department of the Interior
Airborne geophysical survey: Spurr Extension

Aeromagnetic data were collected along flight lines by instruments in an aircraft that recorded magnetic-field intensity values and location. In surveys such as this one where the data were originally collected in digital form and not digitized from contour maps, the information we provide typically includes latitude, longitude, magnetic anomaly in nanoTeslas, and intermediate values used to derive the magnetic anomaly such as total magnetic field.

Tags: aeromagnetic-surveying, f02122-kenai-peninsula, f02170-matanuska-susitna, field-monitoring-stations, geophysics, geospatial-datasets, magnetic-field-earth, usgs-a50d4a38-71ef-4c8a-8b7d-5b5537ed1610
Organization: Department of the Interior
Sedimentary Data From Grand Bay, Alabama/Mississippi, 2014-2016 (ver. 1.1, April 2020)

This data release is an archive of sedimentary field and laboratory analytical data collected in Grand Bay, Alabama/Mississippi from 2014-2016 by scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center (USGS SPCMSC). This work, a component of the SPCMSC’s Sea-level and Storm Impacts on Estuarine Environments and Shorelines (SSIEES) project, provides the necessary data to quantify sedimentation rates and sediment sources for the marsh and estuary. The SSIEES project objective is to evaluate the exchange of sediment material between the marsh and estuary due to extreme storms and sea-level rise. Micropaleontological data from select cores and surface samples are available in Haller and others (2018, https://doi.org/10.5066/F7MC8X5F, https://doi.org/10.5066/F7445KSG). Single-beam bathymetry of Grand Bay proper and multi-beam bathymetry of several marsh-edge eroding shorelines are reported in Dewitt and others (2017, https://doi.org/10.3133/ds1070) and Stalk and others (2018, https://doi.org/10.5066/F7MC8Z9N), respectively. Subbottom and sidescan sonar data for Grand Bay proper are reported in Locker and others (2018, https://doi.org/10.5066/P9374DKQ).
This publication includes data for the sediment cores and surface sediments taken in Grand Bay marsh and estuary during five sampling periods of this study, which were designated as USGS Field Activity Numbers (FAN) 2014-323-FA (project ID 14CCT01), 2015-315-FA (project ID 15CCT02), 2016-331-FA (project ID 16CCT03), 2016-348-FA (project ID 16CCT04), and 2016-358-FA (project ID 16CCT07).  Data products include: GPS-derived site locations and elevations; core photographs, logs, and x-radiographs; lithologic, radiochemical, elemental composition, stable isotopic composition, and radiocarbon data; and Federal Geographic Data Committee (FGDC) metadata.

Tags: alabama, biota, bulk-density, core-analysis, elevation, gamma-spectroscopy, geology, geoscientificinformation, gps-measurement, gradistat, grain-size-analysis, grand-bay, location, loss-on-ignition, marshes, mississippi, push-coring, radiochemistry, radiometric-dating, sediment, st-petersburg-coastal-and-marine-science-center, u-s-geological-survey, unconsolidated-deposits, usgs, usgs-a4ee6866-f4b7-429f-9490-87d02f141c15
Organization: Department of the Interior
Unprocessed aerial imagery from 3 March 2021 coastal survey of Central California.

This is a set of 2049 oblique aerial photogrammetric images and their derivatives, collected from Natural Bridges to Monterey (x2) 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-a53ceb90-d1d4-4f11-9035-bf0620c06cbf, visible-light-imaging
Organization: Department of the Interior
Upper Klamath Basin Landsat Image for April 30, 2004: Path 45 Rows 30 and 31

This image is a mosaic of Landsat-5 images of the upper Klamath Basin. 
The original images were obtained from the U.S. Geological Survey Earth 
Resources Observation and Science Center (EROS). EROS is responsible 
for archive management and distribution of Landsat data products. The 
Landsat-5 satellite is part of an ongoing mission to provide quality remote 
sensing data in support of research and applications activities. The launch 
of Landsat-5 on March 1, 1984 marks the addition of the fifth satellite to the 
Landsat series. The Landsat-5 satellite carries the Thematic Mapper (TM) 
sensor. More information on the Landsat program can be found online at 
http://landsat.usgs.gov/.

Tags: environment, geoscientificinformation, inlandwaters, klamath-basin-restoration-agreement, landsat, oregon, sprague-river-basin, upper-klamath-basin, usgs-a4e4e28b-767b-40b8-8eba-4f3b336627ab, williamson-river-basin, wood-river-basin
Organization: Department of the Interior
SUTRA model used to evaluate the freshwater flow system for a future (2080-2099) climate on Guam

A previously published three-dimensional, groundwater model (SUTRA) 
(http://doi.org/10.3133/sir20135216) was used to evaluate the effects 
of future climate and withdrawal on the freshwater lens of Guam. The 
model was run using 2080 to 2099 estimated recharge and sea-level 
rise. This USGS data release contains all of the input and output files 
for the simulations described in the associated report "Water resources 
on Guam—Potential impacts of and adaptive response to climate change: 
U.S. Geological Survey Scientific Investigations Report 2019-5095" by 
Gingerich, S.B., Johnson, A.G., Rosa, S.N., Marineau, M.D., Wright, S.A., 
Hay, L.E., Widlansky, M.J., Jenson, J.W., Wong, C.I., Banner, J.L., 
Keener, V.W., and Finucane, M.L.(https://doi.org/10.3133/sir20195095). 
This data release also includes SUTRA source code.

Tags: environment, geoscientificinformation, groundwater, groundwater-model, inlandwaters, saltwater-intrusion, sutra, transport-model, usgs-a4bc30cc-bafa-4c9f-ae71-d8b9d17f10ce, usgsgroundwatermodel
Organization: Department of the Interior