AndreaBozzo/ceres-open-data-index huggingface dataset:
Water_Level_na: Modeling the effects of large-scale interior headland restoration on tidal hydrodynamics and salinity transport in an open coast, marine-dominant estuary: model input and results

Using version 20.1_19 of the Discontinuous-Galerkin Shallow Water Equations Model (DG-SWEM) (Kubatko and others, 2006), astronomic tides and salinity transport were simulated at Grand Bay, Alabama (AL), under scenarios of interior headland restoration and sea level rise, as described in Passeri and others (2023). The two-dimensional DG-SWEM model can be applied to coastal and estuarine systems to solve for time-dependent hydrodynamic circulation and salinity transport. The DG-SWEM model uses the ADCIRC framework (Luettich and others, 1992) and requires inputs of an unstructured finite element mesh. For this study, the mesh domain has an open ocean boundary in the Gulf of Mexico and has higher spatial resolution elements (20 - 100 meters [m]) along the Mississippi and Alabama coast. The model mesh coordinates (latitude and longitude) and simulated maximum water surface elevations are included in this data release. For further information regarding model input generation and visualization of model output, refer to Passeri and others (2023).

Tags: alabama, bathymetry, coastal-processes, digital-elevation-models, elevation, estuarine-processes, geomorphology, geoscientificinformation, grand-bay, gulf-of-mexico, north-america, oceans, spcmsc, st-petersburg-coastal-and-marine-science-center, tides-oceanic, topography, u-s-geological-survey, united-states, usgs, usgs-61011f4b-8934-4ae8-8787-7b2640443405
Organization: Department of the Interior
Landsat 8 Collection 2 cloud truth mask validation set

The U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center in Sioux Falls, SD developed a cloud validation dataset from 48 unique Landsat 8 Collection 2 images. These images were selected at random from the Landsat 8 archive from various locations around the world.  While these validation images were subjectively designed by a single analyst, they provide useful information for quantifying the accuracy of clouds flagged by various cloud masking algorithms. Each mask is provided in GeoTIFF format, and includes all bands from the original Landsat 8 Collection 2 Level-1 data product (COG GeoTIFF), and its associated Level-1 metadata (MTL.txt file).

Tags: atmosphere, atmospheric-sciences, cloud, cloud-cover, land-surface, remote-sensing, usgs-61015b2fd34ef8d7055d6395
Organization: Department of the Interior
Cameron-Creole Maintenance (CS-04a) 2018 land-water classification

The Louisiana State Legislature created the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Cameron-Creole Maintenance (CS-04a) project for 2018. This data is used as a basemap land-water classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within their project boundary.  A  land-water classification also serves to evaluate the effectiveness of restoration efforts on specific CWPPRA sites to help assess landscape changes.

Tags: aerial-photography, conservation, cwppra, ecosystem-monitoring, geographic-information-systems, gulf-of-mexico, image-collections, image-mosaics, louisiana, louisiana-coastal, remote-sensing, usgs-61017075d34ef8d7055d6c30, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Abandoned Mine Land (AML) Geochemical Data: Emery County, Utah

During August of 2014, the United States Geological Survey (USGS) collected a total of 187 surficial sediment and bedrock samples from abandoned mine wastepiles, ephemeral channels below wastepiles, nearby outcrops, and background areas representative of the undisturbed lithology within Emery County, UT. The samples were clustered into four different groups: Buckmaster Draw (BM), Dry Mesa (DM), Cow Flats (CF), and Cedar (C). These samples were sieved to obtain a less than 177 micron fraction, which was homogenized and subjected to a four acid digestion prior to analysis by Inductively Coupled Plasma (ICP) methods. (Ag, Al, As, Ba, Be, Bi, Ca, Cd, Ce, Co, Cr, Cs, Cu, Fe, Ga, In, K, La, Li, Mg, Mn, Mo, Na, Nb, Ni, P, Pb, Rb, S, Sb, Sc, Sn, Sr, Te, Th, Ti, Tl, U, V, W, Y, Zn).

Tags: abandoned-mines-and-quarries, acid-mine-drainage, aluminum, antimony, arsenic, barium, beryllium, buckmaster-draw, cadmium, cedar, chromium, cobalt, contaminant-transport, copper, cow-flats, dry-mesa, emery-county, field-sampling, gamma-radiation, geochemistry, hazards, human-environmental-safety, icp-aes, icp-ms, iron, lead, manganese, mine-district, mining-claim, molybdenum, nickel, price, remediation, sediment-transport, selenium, silver, thallium, unconsolidated-deposits, uranium, usgs-6101abded34ef8d7055d92e9, utah, wastepile, zinc
Organization: Department of the Interior
Core descriptions and sedimentologic data from vibracores and sand augers collected in 2021 and 2022 from Fire Island, New York

In 2021 and 2022, scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and the USGS New York Water Science Center (NYWSC), on behalf of SPCMSC, conducted sediment sampling and ground penetrating radar (GPR) surveys at Point O' Woods and Ho-Hum Beach (NYWSC, 2021) and Watch Hill, Long Cove, and Smith Point (SPCMSC, 2022), Fire Island, New York.  These data complement previous SPCMSC GPR and sediment sampling surveys conducted at Fire Island in 2016 (Buster and others, 2018; Forde and others, 2018).

Tags: 2021-312-fa, carbon-14-analysis, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, distributions, drilling-and-coring, effects-of-coastal-change, field-sampling, fire-island-national-seashore, fire-island-wilderness, folk-and-ward, geologic-dating, geology, geoscientificinformation, gradistat, grain-size-analysis, kurtosis, location, long-island, luminescence-dating, mean, new-york, oceans, sand-auger, sediment-analysis, sedimentology, skewness, sorting, spcmsc, st-petersburg-coastal-and-marine-science-center, stratigraphic-characterization-and-correlation, u-s-geological-survey, unconsolidated-deposits, united-states, usgs, usgs-60af5833-a8ba-4a94-a85f-3bca6b652834, vibracore
Organization: Department of the Interior
Monthly Dynamic Surface Water Extent MODIS (DSWEmod) Images for the Conterminous United States – 2003

Members from the U.S. Geological Survey (USGS) Patterns in the Landscape - Analyses of Cause and Effect (PLACE) team are releasing monthly surface water maps for the conterminous United States (U.S.) from 2003 through 2019 as 250-meter resolution geoTIFF files. The maps were produced using the Dynamic Surface Water Extent (DSWE) algorithm applied to daily Moderate Resolution Imaging Spectroradiometer (MODIS) imagery (DSWEmod) (Soulard et al., 2021) - see associated items. The DSWEmod model classifies the landscape (i.e., each MODIS pixel) into different classes of surface water based on quantified levels of confidence, including, i) high-confidence surface water (class 1), ii) moderate-confidence surface water (class 2), iii) potential wetland (class 3), and iv) low-confidence water/wetland (class 4), as well as a not-water class (class 0) and a no-data class (class 9).
This Child Item includes the monthly DSWEmod surface water maps for 2003. The image contains 12 bands, where each band represents a month from January (Band 1) to December (Band 12). The Parent Directory for this data release consists of a zipped folder which contains the monthly DSWEmod surface water maps from 2003 through 2019. There are 17 multi-band images within the zipped folder, equating to one image for each year from 2003 through 2019. Similar to this Child Item, each image consists of 12 bands, where each band value from 1-12 represents sequential months from January (Band 1) to December (Band 12). Each Child Item consists of a single year of DSWEmod surface water maps (e.g., DSWEmod_YearlyImages_2015) to allow for the user to download specific years rather than the full collection of DSWEmod data.

Tags: conterminous-united-states, dynamic-surface-water-extent, level-i-ecoregions, level-iii-ecoregions, mann-kendall-trend-analysis, moderate-resolution-imaging-spectroradiometer-modis, sens-slope, surface-water, usgs-60b6a0b1d34e86b9388487d9
Organization: Department of the Interior
Geologic provinces encompassing northern Afghanistan, 2006 (prvafg.shp)

This shapefile includes polygons that describe U.S. Geological Survey defined geologic provinces that encompass northern Afghanistan.

Tags: af, afghan, afghan-tajik-basin, afghanistan-ministry-of-mines-and-industry, amu-darya-basin, earth-science, geologic-provinces, geology, geoscientificinformation, islamic-state-of-afghanistan, joint-oil-and-gas-resource-assessment-team, natural-gas, natural-resources, northern-afghanistan, oil, oilgas, petroleum, resource-assessment, tajikistan, ti, turkmenistan, tx, u-s-geological-survey, usgs, usgs-60b6a047d34e86b9388487ca, uz, uzbekistan, wep, worldgeologicmaps
Organization: Department of the Interior
Aeromagnetic Anomaly Map of Bangladesh (mag8bg)

This coverage includes arcs and arc labels that hold the Aeromagnetic
anomaly value for contours and type contours of the original map of
Bangladesh with the same name.

Tags: aeromagnetic-survey, anomaly, bangladesh, digital-map, earth-science, ganges-brahmaputra-delta-province-8047, gas, geology, geophysics, geoscientificinformation, jalangi-sylhet-burdwan-composite-total-petroleum-system-804702, jenam-bhuban-bokabil-total-petroleum-system-804703, magnetic-field, natural-gas, oil, oilgas, permian-coal-total-petroleum-system-804701, petroleum, resource-assessment, south-asia, south-asia-region-8, tertiary-composite-total-petroleum-system, u-s-geological-survey, usgs, usgs-60b69dcdd34e86b938848757, wep, worldgeologicmaps
Organization: Department of the Interior
Tectonic zones of northern Afghanistan and adjacent areas (tzoneafg.shp)

This shapefile contains polygons that describe the spatial extent of tectonic zones in northern Afghanistan and adjacent areas.

Tags: af, afghan, afghan-tajik-basin-province-1156, afghanistan-ministry-of-mines-and-industry, amu-darya-basin-province-1154, earth-science, geology, geoscientificinformation, islamic-state-of-afghanistan, joint-oil-and-gas-resource-assessment-team, natural-gas, natural-resources, northern-afghanistan, oil, oilgas, petroleum, resource-assessment, southern-uzbekistan, southwestern-tajikistan, tajikistan, tectonic-zones, ti, turkmenistan, tx, u-s-geological-survey, usgs, usgs-60b66041d34e86b938847345, uz, uzbekistan, wep, worldgeologicmaps
Organization: Department of the Interior
Structures prospective for petroleum in northern Afghanistan (structafg.shp)

This shapefile contains polygons that describe structures prospective for petroleum in northern Afghanistan compiled by the U.S. Geological Survey, Central Energy Resources team from different original sources.

Tags: af, afghan, afghan-tajik-basin-province-1156, afghanistan, afghanistan-ministry-of-mines-and-industry, amu-darya-basin-province-1154, earth-science, geology, geoscientificinformation, joint-oil-and-gas-resource-assessment-team, natural-gas, natural-resources, northern-afghanistan, oil, oil-and-gas-fields, oilgas, petroleum, prospective-structures, resource-assessment, u-s-geological-survey, usgs, usgs-60b6602bd34e86b938847337, wep, worldgeologicmaps
Organization: Department of the Interior
Thickness of the Hauterivian Qezeltash formation in northern Afghanistan (qezelisafg.shp)

This shapefile contains polylines that describe isopachs of the Hauterivian Qezeltash formation in northern Afghanistan. Hauterivian sandstones are a reservoir rock of the Jurassic subsalt petroleum systems of the Afghan-Tajik and Amu Darya basins.

Tags: af, afghan, afghan-tajik-basin-province-1156, afghanistan-ministry-of-mines-and-industry, amu-darya-basin-province-1154, earth-science, geology, geoscientificinformation, hauterivian-sandstones, islamic-state-of-afghanistan, joint-oil-and-gas-resource-assessment-team, kyzyltash-formation, lower-cretaceous-sandstones, natural-gas, natural-resources, northern-afghanistan, oil, oilgas, petroleum, qezeltash-formation, qezeltash-isopachs, resource-assessment, thickness-of-hauterivian-red-beds, thickness-of-hauterivian-reservoir, thickness-of-hauterivian-sandstones, thickness-of-lower-cretaceous-reservoir, thickness-of-lower-cretaceous-sandstones, u-s-geological-survey, usgs, usgs-60b65ff6d34e86b938847324, wep, worldgeologicmaps
Organization: Department of the Interior
Structural contours of the Hauterivian Qezeltash formation of northern Afghanistan (qezeldpafg.shp)

This shapefile contains polylines that describe structural contours (subsea elevation) of the Hauterivian Qezeltash formation in northern Afghanistan. Hauterivian sandstones are a reservoir rock of the Jurassic subsalt petroleum systems of the Afghan-Tajik and Amu Darya basins.

Tags: af, afghan, afghan-tajik-basin, afghanistan-ministry-of-mines-and-industry, amu-darya-basin, earth-science, geology, geoscientificinformation, hauterivian-sandstones, islamic-state-of-afghanistan, joint-oil-and-gas-resource-assessment-team, kyzyltash-formation, lower-cretaceous-sandstones, natural-gas, natural-resources, northern-afghanistan, oil, oilgas, petroleum, qezeltash-formation, resource-assessment, structure-of-hauterivian-red-beds, structure-of-qezeltash-formation, subsea-elevation-of-hauterivian-reservoir-rock, subsea-elevation-of-hauterivian-sandstones, subsea-elevation-of-lower-cretaceous-reservoir-rock, subsea-elevation-of-lower-cretaceous-sandstones, subsea-elevation-of-qezeltash-formation, u-s-geological-survey, usgs, usgs-60b65fced34e86b938847311, wep, worldgeologicmaps
Organization: Department of the Interior
Structural contours of the Upper Campanian through Paleocene Ghory formation of northern Afghanistan (ghorydpafg.shp)

This shapefile contains polylines that describe structural contours of subsea elevation of the top of the Upper Campanian through Paleocene Ghory formation in northern Afghanistan. The Ghory formation is a reservoir rock unit of the Paleogene suprasalt petroleum systems of the Afghan-Tajik and Amu Darya basins.

Tags: af, afghan, afghan-tajik-basin-province-1156, afghanistan-ministry-of-mines-and-industry, amu-darya-basin-province-1154, earth-science, geology, geoscientificinformation, ghory-formation, gowr-formation, islamic-state-of-afghanistan, joint-oil-and-gas-resource-assessment-team, natural-gas, natural-resources, northern-afghanistan, oil, oilgas, petroleum, resource-assessment, u-s-geological-survey, upper-campanian-through-paleocene-reservoir-rock, usgs, usgs-60b65fb1d34e86b9388472fe, wep, worldgeologicmaps
Organization: Department of the Interior
Jurassic evaporite facies of the Afghan-Tajik and Amu Darya basins in northern Afghanistan and adjacent areas (evapfacafg.shp)

This shapefile contains polygons that describe the spatial extent of Jurassic age evaporite facies (Gaurdak formation) in the Afghan-Tajik and Amu Darya basins.

Tags: af, afghan, afghan-tajik-basin-province-1156, afghanistan-ministry-of-mines-and-industry, amu-darya-basin-province-1154, earth-science, gaurdak-formation, geology, geoscientificinformation, islamic-state-of-afghanistan, joint-oil-and-gas-resource-assessment-team, jurassic-evaporite-facies, natural-gas, natural-resources, northern-afghanistan, oil, oilgas, petroleum, resource-assessment, southern-uzbekistan, southwestern-tajikistan, tajikistan, ti, turkmenistan, tx, u-s-geological-survey, usgs, usgs-60b65f7fd34e86b9388472db, uz, uzbekistan, wep, worldgeologicmaps
Organization: Department of the Interior
Groundwater Quality Data of the Chicot aquifer system

This dataset contains digitized groundwater quality data from 435 wells that are screened in the Chicot aquifer system. Reported values of interest included specific conductance, total dissolved solids, and chloride (Cl) concentration; other parameters and major/trace element concentrations were included if reported. Values listed as “NA” or “-9999” represent data that was not reported in the physical dataset. A concentration of 0 ppm or ppb represents a reported concentration of 0 and not a null value. Data were collected from scanned versions of well registration records obtained from the Louisiana Department of Natural Resources. Most well registration records may be accessed through Strategic Online Natural Resources Information System (SONRIS database found at https://www.sonris.com), however some records may only be available in hard copy format.

Tags: geochemistry, groundwater, hydrology, lmg, louisiana, mississippi-embayment, usgs-60b65c9dd34e86b9388471f9, water-quality
Organization: Department of the Interior
Land Change Monitoring, Assessment, and Projection (LCMAP) Collection 1.0 Annual Land Cover and Land Cover Change Validation Tables (2000–2019) for Hawaii

A validation assessment of Land Cover Monitoring, Assessment, and Projection Collection 1.0 annual land cover products (2000–2019) for Hawaii was conducted with an independently collected reference dataset. Reference data land cover attributes were assigned by trained interpreters for each year of the time series (2000–2019) to a reference sample of 600 Landsat resolution (30m x 30m) pixels. These pixels were selected from a sample frame of all pixels in the ARD grid system which fell within the map area (Dwyer et al., 2018). Interpretation used the TimeSync reference data collection tool which visualizes Landsat images and Landsat data values for all usable images in the time series (2000–2019) (Cohen et al., 2010). Interpreters also referred to air photos and high resolution images available in Google Earth as well as several ancillary data layers. The interpreted land cover attributes were crosswalked to the LCMAP annual land cover classes: Developed, Cropland, Grass/Shrub, Tree Cover, Wetland, Water, Snow/Ice and Barren.
Validation analysis directly compared reference labels with annual LCMAP land cover map attributes by cross tabulation.  The results of that assessment are reported here as confusion matrices for land cover agreement and land cover change agreement. Accuracy and standard errors have been calculated using stratified estimation (Stehman, 2014). Land cover class proportions were also estimated from the reference data for each year, 2000–2019. A cluster sampling formulation was used to calculate standard sampling error for summary tables reporting results for multiple years of data comparison.

Tags: accuracy-assessment, environment, hawaii, land-change-monitoring-assessment-and-projection, land-use-and-land-cover, land-use-change, landsat, lcmap, time-series-datasets, united-states, usgs-60b64217d34e86b93884684a, validation
Organization: Department of the Interior
Feral horse tail tag deployment and retention data at Conger and Frisco Herd Management Areas, Utah, 2016-2020

These data show details of time taken to fit tail tags on horses at Herd Management Areas in Utah and Nevada. We provide the time of day that individuals entered and exited a squeeze chute and the resulting duration of time they were in the squeeze to have the tag affixed (among other things) at BLM facilities, as well as the sex and age of the individual, and dates that tail tags were deployed and last seen in the tail.

Tags: biota, conger-mountain, feral-horse, frisco-peak, gps-measurement, nevada, tail-tag, telemetry, usgs-60b154b5d34e86b9387e3b12, usgs-ema-low-sb-smc-wild-horses, utah, wild-horses
Organization: Department of the Interior
Fin ray microchemistry of native fishes to evaluate upstream fish passage at Brandon Road Lock and Dam in Illinois: 2017-2018

This dataset contains strontium:calcium (Sr:Ca) of water and fin ray samples of native fish to evaluate upstream fish passage through a navigation lock in the Des Plaines River (i.e., Brandon Road Lock and Dam). Fin ray samples from several native fish taxon (catostomids, ictalurids, centrarchids, and lepisosteids) were collected in two river reaches downstream of Brandon Roads Lock and Dam (BRLD) and in a river reach upstream of BRLD. Strontium:calcium derived from microchemistry analyses of fin ray materials from a laser ablation transect is included as both edge values and entire transect (i.e., core to edge). Fin ray edge Sr:Ca of fish sampled from the Des Plaines River upstream of BRLD and in the Illinois and Kankakee rivers (downstream of BRLD) was used to estimate ranges of river-specific fin ray Sr:Ca for each taxon and make comparisons among taxon and river reaches. These ranges were compared to Sr:Ca data along a transect from fin ray core to edge to infer environmental history of individual fish captured upstream from BRLD to determine if a fish’s record of fin ray Sr:Ca contained evidence of the fish having previously been in either the Illinois or Kankakee rivers. This allowed estimation of the proportion of fish that had passed upstream through BRLD. This dataset contains 5 csv files.

Tags: asian-carp, biota, brandon-roads-lock-and-dam, catostomidae, centrarchidae, chicago-area-waterway-system, des-plaines-river, fin-ray, fish-passage, ictaluridae, illinois-river, invasive-fishes, kankakee-river, lepisosteidae, microchemistry, native-species, otolith, usgs-60b101c6d34e86b9387d25c7
Organization: Department of the Interior
Reconnaissance of chemicals of potential biological concern in tributaries of the Great Lakes using passive samplers in 2010 and 2014

This data set is a compilation of data from two sampling efforts (2010 and 2014), focused on determining the presence and distribution of organic contaminants throughout the United States portion of the Great Lakes watershed.  Water-borne contaminants were monitored in 69 tributaries of the Great Lakes using semipermeable membrane devices (SPMDs), and polar organic chemical integrative samplers (POCIS).  Analyses included 185 chemicals (143 detected) including polycyclic aromatic hydrocarbons (PAHs), legacy and current-use pesticides, polychlorinated biphenyls (PCBs), polybrominated diphenyl ether (PBDE) and organophosphate fire retardants, pharmaceuticals, fragrances, industrial chemicals, surfactants, and others.

Tags: ashtabula-river, au-sable-river, bad-river, black-river, buffalo-river, cattaraugus-creek, cheboygan-river, clinton-river, contamination-and-pollution, cuyahoga-river, dissolved-contaminants, emerging-contaminants, escanaba-river, ford-river, fox-river, genesee-river, grand-calumet-river, grand-river, grass-river, great-lakes, huron-river, indian-river, indiana, indiana-harbor-canal, inlandwaters, kalamazoo-river, lake-erie, lake-huron, lake-michigan, lake-ontario, lake-superior, legacy-contaminants, manistee-river, manistique-river, manitowoc-river, maumee-river, menominee-river, michigan, milwaukee-river, minnesota, montreal-river, muskegon-river, nemadji-river, new-york, oconto-river, ohio, ontonagon-river, oswegatchie-river, oswego-river, passive-samplers, paw-paw-river, pere-marquette-river, peshtigo-river, pigeon-river, portage-burns-waterway, portage-river, presque-isle-river, raquette-river, rifle-river, river-raisin, river-rouge, rocky-river, saginaw-river, sandusky-river, sheboygan-river, st-joseph-river, st-louis-river, st-regis-river, sturgeon-river, surface-water, surface-water-quality, tahquamenon-river, thunder-bay-river, tonawanda-creek, usgs-60b0fa43d34e86b9387d209f, vermilion-river, water-chemistry, white-river, wisconsin
Organization: Department of the Interior