AndreaBozzo/ceres-open-data-index huggingface dataset:
Water quality data from a multiparameter sonde from Thompsons Beach and Stone Harbor, New Jersey, collected between September 2018 and December 2022

In 2012, Hurricane Sandy struck the Northeastern US causing devastation among coastal ecosystems. Post-hurricane marsh restoration efforts have included sediment deposition, planting of vegetation, and restoring tidal hydrology. The work presented here is part of a larger project funded by the National Fish and Wildlife Foundation (NFWF) to monitor the post-restoration ecological resilience of coastal ecosystems in the wake of Hurricane Sandy. The U.S. Geological Survey Woods Hole Coastal and Marine Science Center made in-situ observations during 2018-2019 and 2022-2023 at two sites: Thompsons Beach, NJ and Stone Harbor, NJ. Marsh creek hydrodynamics and water quality including currents, waves, water levels, water temperature, salinity, pH, dissolved oxygen, turbidity, organic matter, chlorophyll-a, and suspended-sediment concentration and organic content were measured at both sites.  Additionally, marsh accretion and erosion were evaluated and used to interpret sediment budgets. These ecological data will be coupled with topographic lidar and imagery to explain the processes responsible for coastline evolution, and to evaluate restoration techniques and assess whether storm vulnerability has decreased relative to unaltered environments.

Tags: atlantic, cmhrp, hurricane-sandy, inlandwaters, marsh-resilience, national-fish-and-wildlife-foundation, new-jersey, oceans, sediment-transport, stone-harbor, suspended-material-water, thompsons-beach, u-s-geological-survey, usgs-64920d4ad34ef77fcb004e31, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Suspended-Sediment Data for the Yakima River at Kiona (USGS 12510500), June 2018 through September 2022

This dataset summarizes discrete suspended-sediment concentration (SSC) measurements and continuous estimates of SSC for the Yakima River at Kiona (USGS 12510500) for the period between June 01, 2018 and September 30, 2022. Continuous estimates of SSC were derived primarily through calibrated turbidity records. These data were collected to support a better understanding of how water quality influenced stream metabolism and water stargrass growth in the lower Yakima River.

Tags: environment, geoscientificinformation, sediment-transport, suspended-material-water, usgs-64597b90d34ec179a836afd1, washington-state, yakima-river
Organization: Department of the Interior
Discharge measurements at Thompsons Beach, New Jersey, collected October 2018 and September 2022

In 2012, Hurricane Sandy struck the Northeastern US causing devastation among coastal ecosystems. Post-hurricane marsh restoration efforts have included sediment deposition, planting of vegetation, and restoring tidal hydrology. The work presented here is part of a larger project funded by the National Fish and Wildlife Foundation (NFWF) to monitor the post-restoration ecological resilience of coastal ecosystems in the wake of Hurricane Sandy. The U.S. Geological Survey Woods Hole Coastal and Marine Science Center made in-situ observations during 2018-2019 and 2022-2023 at two sites: Thompsons Beach, NJ and Stone Harbor, NJ. Marsh creek hydrodynamics and water quality including currents, waves, water levels, water temperature, salinity, pH, dissolved oxygen, turbidity, organic matter, chlorophyll-a, and suspended-sediment concentration and organic content were measured at both sites.  Additionally, marsh accretion and erosion were evaluated and used to interpret sediment budgets. These ecological data will be coupled with topographic lidar and imagery to explain the processes responsible for coastline evolution, and to evaluate restoration techniques and assess whether storm vulnerability has decreased relative to unaltered environments.

Tags: acoustic-doppler-current-profiling, adcp, atlantic, cmhrp, hurricane-sandy, inlandwaters, marsh-resilience, national-fish-and-wildlife-foundation, new-jersey, oceans, stone-harbor, stream-discharge, streamflow, thompsons-beach, u-s-geological-survey, usgs-649210f9d34ef77fcb004e56, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2023 (ver. 8.0, June 2023)

These datasets provide early estimates of 2023 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a weekly basis from May to early July. The EAG estimates are developed typically within 7-13 days of the latest satellite observation used for that version. Each weekly release contains four fractional cover maps along with their corresponding confidence maps for: 1) a group of 16 species of EAGs, 2) cheatgrass (Bromus tectorum); 3) medusahead (Taeniatherum caput-medusae); and 4) Sandberg bluegrass (Poa secunda). These datasets were generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory, and Monitoring (AIM) data plots; Harmonized Landsat and Sentinel-2 (HLS) based Normalized Difference Vegetation Index (NDVI); other relevant environmental, vegetation, remotely sensed, and geophysical drivers; and artificial intelligence/machine learning techniques. A total of 28,901 AIM plots from years 2016–2022 were used to train an ensemble of five-fold regression-tree models using a cross-validation approach (each observation was used as test data once and as training data four times) that developed all the fractional cover maps. The geographic coverage includes arid and semi-arid rangelands in the western U.S classified as grassland/herbaceous by the 2019 National Land Cover Database at or below 2350-m elevation.
Note:
Maps of May 1st, 2023 were developed using satellite observation data no later than April 28.
Maps of May 8th, 2023 were developed using satellite observation data no later than May 05.
Maps of May 15th, 2023 were developed using satellite observation data no later than May 11.
Maps of May 22nd, 2023 were developed using satellite observation data no later than May 19.
Maps of May 29th, 2023 were developed using satellite observation data no later than May 26.
Maps of June 5th, 2023 were developed using satellite observation data no later than June 2.
Maps of June 12th, 2023 were developed using satellite observation data no later than June 9.
Maps of June 19th, 2023 were developed using satellite observation data no later than June 16.
Releases: 
First Release: May 01, 2023 (ver. 1.0)
Revised: May 08, 2023 (ver. 2.0)
Revised: May 15, 2023 (ver. 3.0)
Revised: May 22, 2023 (ver. 4.0)
Revised: May 29, 2023 (ver. 5.0)
Revised: June 5, 2023 (ver. 6.0) [Updated on June 20, 2023]
Revised: June 12, 2023 (ver. 7.0)
Revised: June 19, 2023 (ver. 8.0)

Tags: annual-grass, annual-herbaceous, arizona, california, cheatgrass, colorado, exotic, great-basin, harmonized-landsat-sentinel, idaho, invasive-species, kansas, medusahead, montana, ndvi, nebraska, nevada, new-mexico, nonindigenous-species, north-dakota, noxious, oklahoma, oregon, perennial-grass, poa-secunda, red-brome, remote-sensing, rye-brome, sagebrush, soft-brome, south-dakota, texas, texas-brome, united-states, usgs-64921e4fd34ef77fcb004ef2, utah, washington, western-united-states, wyoming
Organization: Department of the Interior
Vegetation and water classifications for a segment of the Paria River upstream of the Colorado River Confluence, Arizona, USA

These data represent total vegetation and surface water along approximately 12 kilometers of the Paria River upstream from the confluence of the Colorado River at Lees Ferry, Arizona. They are derived from airborne, multispectral imagery obtained in late May 2009, 2013, and 2021, collected with a push-broom sensor with 4 spectral bands depicting Blue, Green, Red and Near-Infrared wavelengths at a spatial resolution of 20 centimeters. The vegetation classification data were created using a supervised classification algorithm provided by Harris Geospatial in ENVI version 5.6.3 (Exelis Visual Information Solutions, Boulder, Colorado). The water data were created using a Green Normalized Difference Vegetation Index (gNDVI) threshold of gNDVI &lt;= 0.2. Each classification dataset contains unclassified pixels (0) and vegetation or surface water pixels (1) and are published as Cloud Optimized GeoTIFF raster datasets.

Tags: airborne-imagery, arizona, biota, change-detection, classification-maps, cloud-optimized-geotiff-data, colorado-river, data-release, ecosystem-monitoring, flooding, glen-canyon, glen-canyon-dam, gndvi, grand-canyon, green-normalized-difference-vegetation-index, image-classification, image-collections, imagerybasemapsearthcover, inlandwaters, lees-ferry, lonely-dell, maps-and-atlases, marble-canyon, multispectral-high-resolution-data, multispectral-imaging, northern-arizona, paria-river, remote-sensing, riparian-vegetation, river-ecosystems, river-reaches, river-systems, river-tributaries, supervised-classification, surface-water-non-marine, total-vegetation, united-states, usgs-649227f6d34ef77fcb004f12, vegetation, vegetation-classification-maps, water-maps, wetland-ecosystems
Organization: Department of the Interior
Field evidence noted in 2008 to 2023 that pertains to sea floods of the past millennium on Anegada, British Virgin Islands

This release provides inventories of georeferenced evidence pertaining to extreme waves on Anegada, a low Caribbean island perched south of the Puerto Rico Trench: CORAL BOULDERS AND COBBLES -- Derived offshore, found inland. Boulder star coral Orbicella franksii (37 localities), brain coral Pseudodiploria strigosa (171), elkhorn coral Acropora palmata (36), mustard hill coral Porites astreoides (29). LIMESTONE BOULDERS AND COBBLES -- Derived and found onshore (633). MOLLUSCAN SHELLS -- Queen conch Aliger gigas, discarded by precolonial fishers (12 onshore heaps) and by modern fishers (40 offshore heaps); individual conch shells deposited inland by precolonial sea flood (59); tiger lucine Codakia orbicularis, also strewn in precolonial time (18). SAND -- Precolonial deposit pervasive (132), patchy (195), scarce or absent (256); younger sheet of sand and shell (42); autochthonous sand weathered from Pleistocene deposits (22). HURRICANE DEPOSITS -- Wrack of plant fragments from 2010 Hurricane Earl (13). RADIOCARBON AGES on precolonial deposits (67). ROCK WALLS -- About 90 km total length among mapped 2249 segments that likely represent about half of the full network. LIMESTONE SINKS -- Closed depressions in Pleistocene limestone, in some cases extending downward into groundwater; 1508 mapped from lidar topography. These various kinds of evidence are grouped into 12 categories. Each of these 12 child items is explained with its own metadata, rendered as a shapefile, tabulated also in comma-separated value file (except for the walls), and illustrated with a summary map and a field photograph.

Tags: biota, british-virgin-islands, carbon-14-analysis, caribbean-sea, corals, geoscientificinformation, hurricanes, tsunamis, usgs-64922eecd34ef77fcb004f1b
Organization: Department of the Interior
Onshore conch heaps noted in 2012 to 2018 that pertain to sea floods of the past 1,000 years on Anegada, British Virgin Islands

This part of the release provides an georeferenced list on the most conspicuous of the onshore heaps of harvested conch shells on Anegada, a low Caribbean island perched south of the Puerto Rico Trench. The list locates 12 conch heaps noted in 2017 in the island's East End: Also listed are radiocarbon ages measured on shells from six of the heaps.

Tags: archaeology, biota, british-virgin-islands, carbon-14-analysis, caribbean-sea, gastropods, geoscientificinformation, tsunamis, usgs-649277f6d34ef77fcb005949
Organization: Department of the Interior
Strewn conch shells noted in 2008 to 2017 that pertain to sea floods of the past 1,000 years on Anegada, British Virgin Islands

This part of the release provides an updated georeferenced catalog of strewn conch shells pertaining to extreme waves on Anegada, a low Caribbean island perched south of the Puerto Rico Trench. Three of the listed fragments were found whole, lacking any extraction hole from fishing. Others listed each contained a round hole from extraction of the meat in precolonial time. Still others were found too fragmentary to show whether they had been fished. Most of the fished shells listed are from the East End of Anegada. There, the listed shells in the south are near heaps of fished conchs, while the shells in the north rim an area of two hectares or more across which conch shells are strewn.

Tags: biota, british-virgin-islands, carbon-14-analysis, caribbean-sea, gastropods, geoscientificinformation, tsunamis, unconsolidated-deposits, usgs-64927a42d34ef77fcb005955
Organization: Department of the Interior
Radiocarbon ages measured 2011 to 2021 on corals, shells, and plant fragments pertaining to sea floods of the past 1,000 years on Anegada, British Virgin Islands

This part of the data release provides an updated georeferenced list of radiocarbon ages pertaining to evidence for a catastrophic precolonial sea flood on Anegada, a low Caribbean island perched south of the Puerto Rico Trench. The list contains 64 ages measured on carbonate materials and 3 ages measured on plant fragments. Among the total of 67 ages, 43 are among the 47 ages previously tabulated on page 318 of https://doi.org/10.1130/GES01356.l. The 67 ages exclude those from previous work on deposits attributable to the 1755 Lisbon tsunami (https://doi.org/10.1007/s11069-010-9622-6). Among the 67 ages listed, the 24 ages previously unreported were measured mainly on samples collected in 2017. The main material dated is the aragonitic skeleton of coral boulders, particularly of the brain coral Pseudodiploria strigosa. Also dated are shells of the marine bivalve Codakia orbicularis (tiger lucine) and of the iconic Caribbean gastropod Aliger gigas (queen conch). All 67 ages were measured by the National Ocean Sciences Accelerator Mass Spectrometry (NOSAMS) laboratory in Woods Hole, Massachusetts. One pair of columns give the ages and one-standard-deviation error as reported, rounded to the nearest 5 radiocarbon years). A second pair expand the error term by adding variance, sample-by-sample, using a procedure described by the NOSAMS Staff (https://www2.whoi.edu/site/nosams/client-services/radiocarbon-data-calculations/). The added variance increases the error terms by factors ranging from 1.1 to 1.8, and averaging 1.4.

Tags: biota, bivalves, british-virgin-islands, carbon-14-analysis, caribbean-sea, corals, gastropods, geoscientificinformation, usgs-64929d23d34ef77fcb008df0
Organization: Department of the Interior
Presence and absence of a widespread unit of Holocene marine sand observed in 2008 to 2017 in tsunami-hazard assessments on Anegada, British Virgin Islands

This part of the data release provides an updated georeferenced guide to the main unit of Holocene sand ascribed to a sea flood on Anegada. Much of the data was previously summarized in Figure A4 of https://doi.org/10.1130/GES01356.1 .
Plotted here, on the accompanying map, are all 573 localities in the updated compilation &lt;Sand_main.csv&gt;—nearly half of which do not provide much if any evidence for marine inundation. The main attribute of each locality is one of four summary categories:  
Pervasive—Sand covers more than 3/4 of area and typically thicker than 5 cm (132 localities).
Patchy—Sand covers less than 3/4 of area and typically thinner than 5 cm (185 localities). 
Scant—Called “Sand scarce or absent” in https://doi.org/10.1130/GES01356.1 (256 localities).
Pleistocene—Sand grains evidently weathered from Pleistocene limestone (23 localities).
The sand, particularly where pervasive, commonly accompanies coral erratics and anomalous limestone clasts. Where patchy it extends farther inland than they do. Locally this mapping is ambiguous. Some of the sand has probably been redistributed by wind. The sand designated Pleistocene includes, in a correction, 8 sites mistakenly interpreted in https://doi.org/10.1130/GES01356.1 as Holocene marine sand.

Tags: british-virgin-islands, caribbean-sea, corals, farming, geoscientificinformation, hurricanes, sand, tsunamis, usgs-6492a093d34ef77fcb009bd7
Organization: Department of the Interior
Scanning electron microscopy and inductively coupled plasma mass spectrometry of particles recovered from deployer and control lung digestates

Scanning electron microscope analysis and inductively coupled plasma mass spectroscopy data of dust recovered from deployers and controls.

Tags: afghanistan, asia-minor-and-middle-east, chemical-analysis, china-lake, common-geographic-areas, geochemistry, geology-geophysics-and-geochemistry-science-center, geoscientificinformation, gggsc, grain-size-analysis, intelligencemilitary, iraq, mass-spectroscopy, particulate-matter, scanning-electron-microscopy, usgs-649caea7d34ef77fcb03aa66
Organization: Department of the Interior
Orthomosaic representing Marconi Beach, Wellfleet, MA on March 22, 2023

The data in this release re-map the beach and nearshore environment at Marconi Beach in Wellfleet, MA and provide updated environmental context for the 2021 CoastCam installation that looks out at the coast shared by beachgoers, shorebirds, seals, and sharks. This is related to the field activity 2022-014-FA and a collaboration with the National Park Service at Cape Cod National Seashore to monitor the region that falls within the field of view of CoastCam CACO-02, which are two video cameras aimed at the beach. In March 2023, U.S. Geological Survey and Woods Hole Oceanographic Institute (WHOI) scientists conducted field surveys to collect topographic and bathymetric data. Images of the beach for use in structure-from-motion were taken with a camera (SONY a6000) and a post-processed kinematic (PPK) system attached to a helium powered balloon-kite (Helikite). High-precision GPS targets (AeroPoints) and numbered black and white tarps were used as ground control points. Bathymetry was collected in the nearshore using a single-beam echosounder mounted on a surf capable self-righting electric autonomous surface vehicle. Agisoft Metashape (v. 1.8.1) was used to create a digital surface model and orthomosaic with the collected imagery.

Tags: aerial-and-satellite-photography, agisoft-metashape, cape-cod, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, geoscientificinformation, geospatial-datasets, helikite, image-mosaics, location, marconi-beach, massachusetts, oceans, orthomosaic, remote-sensing, shoreline, structure-from-motion, u-s-geological-survey, united-states, usgs, usgs-648b725dd34ef77fcafe693b, wellfleet, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Unobtrusive Multi-static Serial LiDAR Imager (UMSLI) Dataset

The dataset contains the data from the field deployment of the Unobtrusive Multi-static Serial LiDAR Imager (UMSLI) system at PNNL-Sequim test site in 2017. The dataset contains scanning of manmade models of baracuda and turtles as well as technical target placed in the field of view of 6 sets of LiDAR transmitter and receiver pairs. In addition, the system also operated to capture any marine life may come within the field of view. This included several encounters of Harbor Seal. In total, about 5TB of LiDAR data was recorded.

UMSLI is a LiDAR system uses lower power red (638nm, 180mW) laser that is invisible to the the marine animals. The red laser beams are scanned out of three bidirectional transmitters reflecting signals back to the receiver as it hits particles in the water, when a laser beam reflects as it hits marine life it is called a hard target. The main purpose of the system is to monitor MHK sites to detect and alert the site manager of any potential encounter between the energy generation equipment and protected marine life. 

This submission includes a data lake resource for the raw data and experiment video recordings, MATLAB scripts for data parsing and analysis, and a folder of project publications. For more information on the data, see the "Data Description" resource below. 

UMSLI is developed at Harbor Branch Oceanographic Institute at Florida Atlantic University under DOE funding (DE-EE0006787 and DE-EE0007828).


Tags: data, encounter, energy, florida-atlantic-university, harbor-branch, hydrokinetic, imager, lidar, marine, marine-animal, mhk, multi-static, pnnl, power, raw-data, red-laser, scan, scanning, umsli, unobtrusive
Organization: Department of Energy
Rock walls mapped from 2002 airphotos and 2014 lidar topography of Anegada, British Virgin Islands

This part of the data release aids in identifying places where land-clearing and wall-building, rather than a sea flood, may account for anomalous boulders and cobbles of Pleistocene limestone on Anegada. The wall shapefile delineates much of a network of walls found mainly on the east half of the island. It can be plotted in GIS with the shapefile of limestone clasts, most of which form boulder fields that trail southward from limestone knolls, promontories, and other outcrops. The comparison shows that these clast fields are most abundant on low ground in and near salt ponds, while the walls run mostly on higher ground.

Tags: agriculture, british-virgin-islands, caribbean-sea, farming, geoscientificinformation, limestone, tsunamis, usgs-6492a157d34ef77fcb009f6f
Organization: Department of the Interior
Microfossil data for the Coon Creek type locality, Tennessee

The Upper Cretaceous Coon Creek Formation type locality in McNairy County, Tennessee, has long been known to be an exceptional marine invertebrate lagerstattäte that was deposited in a nearshore reentrant into the ancestral continent of Appalachia.  Extensive taxonomic analysis of the macrofauna over the past 100 years includes documentation of swimming reptiles, fish, marine invertebrates, and plant material.  However, documentation of the palynomorph and calcareous microfossil component at the type locality has never been done.  This data set provides analysis of calcareous microfossils (benthic and planktic foraminifera, calcareous nannofossils, and ostracods) and palynomorphs (pollen, spores, algal remains, and dinoflagellates) as a means of providing detailed age control and information regarding environment of deposition.

Tags: biostratigraphy, coon-creek, cretaceous, cretaceous-nannofossil, fossils, tennessee, usgs-6493133ed34ef77fcb012867
Organization: Department of the Interior
Input and results from a random forest classification (RFC) model that predicts redox conditions in groundwater in the contiguous United States

This data release provides model inputs and outputs for a model that predicts redox conditions in groundwater in the contiguous United States. Input variables describe the hydrology, soils, geology, and hydrologic position of groundwater sample locations. The data release accompanies a journal article that describes model development and applications (Tesoriero_and_others_2023).

Tags: environment, groundwater, inlandwaters, usgs-649e053bd34ef77fcb04057e
Organization: Department of the Interior