AndreaBozzo/ceres-open-data-index huggingface dataset:
Annual National Land Cover Database (NLCD) Collection 1 Fractional Impervious Surface

The USGS Land Cover program has combined the tried-and-true methodologies from premier land cover projects, National Land Cover Database (NLCD) and Land Change Monitoring, Assessment, and Projection (LCMAP), together with modern innovations in geospatial deep learning technologies to create the next generation of land cover and land change information. The product suite is called, “Annual NLCD” and includes six annual products that represent land cover and surface change characteristics of the U.S.:
1) Land Cover,
2) Land Cover Change,
3) Land Cover Confidence,
4) Fractional Impervious Surface,
5) Impervious Descriptor, and
6) Spectral Change Day of Year.
These land cover science product algorithms harness the remotely sensed Landsat data record to provide state-of-the-art land surface change information needed by scientists, resource managers, and decision-makers. Annual NLCD uses a modernized, integrated approach to map, monitor, synthesize, and understand the complexities of land use, cover, and condition change. With this first release, Annual NLCD, Collection 1.0, the six products are available for the Conterminous U.S. for 1985 – 2023. 
Questions about the Annual NLCD product suite can be directed to the Annual NLCD mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or custserv@usgs.gov. See included spatial metadata for more details.

Tags: analysis-ready-data-ard, change-detection, conus, digital-spatial-data, earth-observations, environment, geographic-information-science-gis, image-processing, imagerybasemapsearthcover, land-cover, landsat, time-series, u-s-geological-survey-usgs, united-states, usa, usgs-664e0da6d34e702fe8744579
Organization: Department of the Interior
gridMET Climate data, 1980-2023

This data set represents monthly precipitation (in millimeters), and minimum and maximum temperature (in degrees Fahrenheit) over the period 1980-2023 compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusV2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlusV2 by the unique identifier COMID. Reach catchment information characterizes data at the local scale. Reach catchments are accumulated upstream through the river network using a modified routing database (Schwarz and Wieczorek, 2018) to navigate the NHDPlusV2 reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. The variables included are precipitation (gridMet_CAT_pr and gridMet_TOT_pr), minimum temperature (gridMet_CAT_tmmn and gridMet_TOT_tmmn), and maximum temperature (gridMet_CAT_tmmx and gridMet_TOT_tmmx) summarized from gridMET (Abatzoglou, 2011). Summaries are provided for five regions corresponding to NHDPlusV2 vector processing units (VPUs): VPU 02, VPU 03w, VPU 04, VPU 14, and VPU 17.

Tags: climate, great-lakes, gridmet, inlandwaters, mid-atlantic, nhdplusv2, pacific-northwest, precipitation, south-atlantic-west, temperature, upper-colorado, usgs-66c4e277d34e0338828924d1
Organization: Department of the Interior
Annual National Land Cover Database (NLCD) Collection 1 Land Cover Confidence

The USGS Land Cover program has combined the tried-and-true methodologies from premier land cover projects, National Land Cover Database (NLCD) and Land Change Monitoring, Assessment, and Projection (LCMAP), together with modern innovations in geospatial deep learning technologies to create the next generation of land cover and land change information. The product suite is called, “Annual NLCD” and includes six annual products that represent land cover and surface change characteristics of the U.S.:
1) Land Cover,
2) Land Cover Change,
3) Land Cover Confidence,
4) Fractional Impervious Surface,
5) Impervious Descriptor, and
6) Spectral Change Day of Year.
These land cover science product algorithms harness the remotely sensed Landsat data record to provide state-of-the-art land surface change information needed by scientists, resource managers, and decision-makers. Annual NLCD uses a modernized, integrated approach to map, monitor, synthesize, and understand the complexities of land use, cover, and condition change. With this first release, Annual NLCD, Collection 1.0, the six products are available for the Conterminous U.S. for 1985 – 2023. 
Questions about the Annual NLCD product suite can be directed to the Annual NLCD mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or custserv@usgs.gov. See included spatial metadata for more details.

Tags: analysis-ready-data-ard, change-detection, conus, digital-spatial-data, earth-observations, environment, geographic-information-science-gis, image-processing, imagerybasemapsearthcover, land-cover, landsat, time-series, u-s-geological-survey-usgs, united-states, usa, usgs-664e0d98d34e702fe8744577
Organization: Department of the Interior
Annual National Land Cover Database (NLCD) Collection 1 Land Cover

The USGS Land Cover program has combined the tried-and-true methodologies from premier land cover projects, National Land Cover Database (NLCD) and Land Change Monitoring, Assessment, and Projection (LCMAP), together with modern innovations in geospatial deep learning technologies to create the next generation of land cover and land change information. The product suite is called, “Annual NLCD” and includes six annual products that represent land cover and surface change characteristics of the U.S.:
1) Land Cover,
2) Land Cover Change,
3) Land Cover Confidence,
4) Fractional Impervious Surface,
5) Impervious Descriptor, and
6) Spectral Change Day of Year.
These land cover science product algorithms harness the remotely sensed Landsat data record to provide state-of-the-art land surface change information needed by scientists, resource managers, and decision-makers. Annual NLCD uses a modernized, integrated approach to map, monitor, synthesize, and understand the complexities of land use, cover, and condition change. With this first release, Annual NLCD, Collection 1.0, the six products are available for the Conterminous U.S. for 1985 – 2023. 
Questions about the Annual NLCD product suite can be directed to the Annual NLCD mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or custserv@usgs.gov. See included spatial metadata for more details.

Tags: analysis-ready-data-ard, change-detection, conus, digital-spatial-data, earth-observations, environment, geographic-information-science-gis, image-processing, imagerybasemapsearthcover, land-cover, landsat, time-series, u-s-geological-survey-usgs, united-states, usa, usgs-664e0d2bd34e702fe8744536
Organization: Department of the Interior
Water chemistry data for samples collected at groundwater and surface-water sites in the San Ardo Oil Field study area, March 2019–May 2021, Monterey County, California

The California State Water Resources Control Board (State Water Board) initiated the Oil and Gas Regional Monitoring Program (RMP) to assess effects of oil and gas development on groundwater designated for any beneficial use. The U.S. Geological Survey (USGS) is the technical lead in conducting the RMP through the California Oil, Gas, and Groundwater (COGG) Program, working in cooperation with the State Water Board, and in partnership with other State and local agencies. The USGS collected and analyzed groundwater (GW) and surface water (SW) for the San Ardo Oil Field study area, the area within the San Ardo Oil Field administrative boundary and the surrounding five-kilometer buffer zone, in Monterey County, California. Eighteen groundwater, two stream, and two spring samples were collected from March 2019 through May 2021. Groundwater samples were collected from one public-supply well, five monitoring wells, two irrigation wells, one livestock well, five oil-field water supply wells, and four domestic wells. Samples were collected using established water data-collection protocols and procedures and analyzed for (1) water-quality indicators, (2) major and minor ions, (3) nutrients,  (4) trace elements, (5) volatile organic compounds (VOCs), (6) naturally-occurring radioactive material (radium isotopes), (7) geochemical and age-dating tracers, (8) dissolved organic carbon (DOC), (9) dissolved standard and hydrocarbon gases (methane through hexane), and (10) dissolved noble gases and atmospheric gases. In total, 185 constituents, water-quality indicators, or properties are included in this data release. Quality-control (QC) samples were used to assess the quality of laboratory results.

Tags: aquifers, california, geochemistry, groundwater, groundwater-aquifer, groundwater-quality, inlandwaters, monterey, regional-monitoring-program, salinity, salinity-mapping, san-ardo-oil-field, usgs-664e06b4d34e702fe874410c, water-chemistry, water-quality-data
Organization: Department of the Interior
River-related flooding in the Bad River (Mashkiiziibii) Estuary, Lake Superior, 2016-22

The Bad River (Mashkiiziibii) Estuary experiences flooding driven by both the elevation of Lake Superior and high-flow events in the rivers that feed the estuary. Inundation dynamics in the estuary depend on the interaction of lake levels and river flow. To capture those dynamics, we compiled water surface elevation (WSE) data from five gages bracketing the boundaries of the estuary. These included stream gages on the Bad River and Beartrap Creek at the upstream end of the estuary and on the Bad River and Kakagon Rivers near their mouths. The gage at Ashland Lighthouse in Chequamegon Bay was used to represent lake levels on the western edge of the estuary. We interpolated water elevation surfaces between the gages to cover the extent of the estuary, generating one surface per day between October, 2020 and  September, 2022, using daily mean gage data. Additionally, we generated water elevation surfaces using 15-minute resolution gage data for a month-long high-flow period during spring of 2023, as well as for the 2016 and 2018 floods from observed high water marks associated with the floods. The water surfaces were overlaid on a digital elevation model (DEM) representing the 2019 topography and bathymetry of the Bad River Estuary to estimate inundation depths across the estuary. Provided in this data release are daily inundation depth rasters for 2020-2022 and the 2016 and 2018 floods, 15-minute inundation depth rasters for April 8th to May 8th, 2023, and a time-lapse video of the compiled 2020-2022 daily inundation maps.

Tags: ashland-county, bad-river, chequamegon-bay, coastal-wetlands, elevation, environment, estuary, floods, geomorphology, geoscientificinformation, kakagon-river, lake-superior, mashkiiziibii-river, sedimentation, usgs-664dfe59d34e702fe8743cde, wisconsin
Organization: Department of the Interior
Multivariate Adaptive Constructed Analogs (MACA) Catchment Precipitation data, 2006-2099

This tabular data set represents estimated monthly precipitation (in millimeters) over the period 2006-2099 compiled for NHDPlus version 2 data suite (NHDPlusv2) catchments. This dataset can be linked to the NHDPlusv2 by the unique identifier COMID. The source data is Multivariate Adaptive Constructed Analogs (MACA) (Abatzoglou  Brown, 2011). Summaries are provided for five regions corresponding to NHDPlus vector processing units (VPUs): VPU 02, VPU 03w, VPU 04, VPU 14, and VPU 17.

Tags: climate, great-lakes, inlandwaters, maca, mid-atlantic, nhdplusv2, pacific-northwest, precipitation, south-atlantic-west, upper-colorado, usgs-66c4e342d34e033882892578
Organization: Department of the Interior
1995 National Oil and Gas Assessment Data Collection Archive

This reflects a collection of tabular, geospatial and textual information from 3 CD-ROMs published in 1995 and 1996 from the USGS in support of the 1995 National Oil and Gas Assessment Project. This includes USGS DDS Series 30, 35 and 36. This collection was available online through various web platforms hosted by USGS Central Energy Resources Science Center / Central Energy Team since initial recovery from the CD's in early 2000's. This contains the data collection from the original data archives.  Over 11,000 files are part of this collection, with 1,524 shapefiles, 648 PDFs and 189 Tab-delimited data files. Limited qa/qc was performed on this due to time constraints and acknowledging  that this is a representation of a product over 20 years old.

Tags: earth-science, energy-resources, geology, national-oil-and-gas-assessment, natural-gas, natural-resources, oil, play-boundaries, resource-assessment, u-s-geological-survey, usgs, usgs-664dfafad34e702fe8743ae3
Organization: Department of the Interior
Cameron-Creole Freshwater Introduction (CS-49): 2021 land-water classification

The Louisiana State Legislature created the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in order 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 Freshwater Introduction (CS-49) project for 2021. 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. To better evaluate the effectiveness of restoration efforts, a land-water classification is performed on specific CWPPRA sites to help assess landscape changes.

Tags: aerial-photography, conservation, cs-49, cwppra, digital-elevation-models, ecosystem-monitoring, environment, geographic-information-systems, gulf-of-mexico, image-collections, image-mosaics, louisiana, louisiana-coastal, remote-sensing, united-states-of-america, usgs-664df6dfd34e702fe8743828, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Cameron-Creole Maintenance (CS-04a): 2021 land-water classification

The Louisiana State Legislature created the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in order 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 2021. 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. To better evaluate the effectiveness of restoration efforts, a land-water classification is performed on specific CWPPRA sites to help assess landscape changes.

Tags: aerial-photography, conservation, cs-04a, cwppra, digital-elevation-models, ecosystem-monitoring, environment, geographic-information-systems, gulf-of-mexico, image-collections, image-mosaics, louisiana, louisiana-coastal, remote-sensing, united-states-of-america, usgs-664df54bd34e702fe8743710, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Sediment Thickness Data in the Komandorsky Basin of the Bering Sea

Sediment thickness information for the Komandorsky Basin in the Bering Sea comes from isopach contours published
in Figure 3 of Baranov and others (1991), based on single-channel and multichannel seismic reflection data collected
in the Komandorsky Basin in the 1970s and 1980s.  The Figure 3 map of Baranov and others (1991) was scanned and georeferenced
(BaranovEtAl-1991-Figure3-GeoreferencedScan.tif), and
the isopachs and other geological features were digitized and output as vector shapefiles.
A raster grid of sediment thickness in GeoTIFF format (KomandorskyBasin-SedimentThicknessGrid.tif) was created from the
digitized isopachs, within a masking polygon in shapefile format (BaranovEtAl-1991-Figure3-Edge_of_Coverage.shp) based
on the extent of the isopachs.  In initial testing, the gridding algorithm did not extrapolate well to the outer edge
of the coverage, generating grid values that yield contours not observed in the published figure.  Thus,
a CSV file of manually determined minimum and maximum sediment thickness constraint values
(KomandorskyBasin-SedimentThickness-ManualConstraints.csv) was generated to guide the gridding algorithm in areas near
the edge of the grid coverage to avoid grid values that would generate false contours.  Each data file, along with a
corresponding CSDGM FGDC-compliant metadata file, is provided in its own zip archive file.

Tags: bering-sea, geoscientificinformation, komandorsky-basin, maps-and-atlases, stratigraphic-thickness, usgs-664d8ec4d34e702fe873bcf3
Organization: Department of the Interior
Grammar transformations of topographic feature type annotations of the U.S. to structured graph data.

These data were used to examine grammatical structures and patterns within a set of geospatial glossary definitions. Objectives of our study were to analyze the semantic structure of input definitions, use this information to build triple structures of RDF graph data, upload our lexicon to a knowledge graph software, and perform SPARQL queries on the data. Upon completion of this study, SPARQL queries were proven to effectively convey graph triples which displayed semantic significance. These data represent and characterize the lexicon of our input text which are used to form graph triples. These data were collected in 2024 by passing text through multiple Python programs utilizing spaCy (a natural language processing library) and its pre-trained English transformer pipeline. Before data was processed by the Python programs, input definitions were first rewritten as natural language and formatted as tabular data. Passages were then tokenized and characterized by their part-of-speech, tag, dependency relation, dependency head, and lemma. Each word within the lexicon was tokenized. A stop-words list was utilized only to remove punctuation and symbols from the text, excluding hyphenated words (ex. bowl-shaped) which remained as such. The tokens’ lemmas were then aggregated and totaled to find their recurrences within the lexicon. This procedure was repeated for tokenizing noun chunks using the same glossary definitions.

Tags: data-integration, data-management, data-release, datasets, geospatial-lexicon, improvement-of-scientific-data-usability, informal-semantics, information-architecture, information-sciences, information-technology-methods, knowledge-graph, knowledge-organization-system-development, natural-language-processing, scientific-data-usability, semantic-data-processing, semantic-knowledge-graph, society, structure, usgs-664cb465d34e1955f5a4f57e
Organization: Department of the Interior
Groundwater elevation data and model in and around the Elk Hills and North Coles Levee Oil Fields

This data release Child Item contains groundwater elevation data and the associated model/code used to create groundwater elevation surfaces in and around the Elk Hills and North Coles Levee Oil Fields. The data and model provided here are part of an interpretative manuscript by Warden and others (2024). The data compiled and analyzed here are part of the California State Water Resources Control Board Oil and Gas Regional Monitoring Program and the U.S. Geological Survey California Oil, Gas, and Groundwater (COGG) Program.

Tags: california, elk-hills, gaussian-processes, groundwater, groundwater-levels, groundwater-wells, hydrology, idle-oil-wells, inlandwaters, mathematical-modeling, north-coles-levee, oil-resources, san-joaquin-valley, usgs-664ca12bd34e1955f5a4f46c
Organization: Department of the Interior
Lifespan of marsh units in Eastern Shore of Virginia salt marshes

The lifespans of salt marshes in Atlantic-facing Eastern Shore of Virginia are calculated based on estimated sediment supply and sea-level rise (SLR) predictions, following the methodology of Ganju and others (2020). The salt marsh delineations are from Ackerman and others (2023). The SLR predictions are local estimates corresponding to increases of 0.3, 0.5 and 1.0 meter in global mean sea level (GMSL) by 2100, as projected by Sweet and others (2022). This work has been a part of the USGS’s effort to expand the national assessment of coastal change hazards and forecast products to coastal wetlands. The aim is to equip federal, state and local managers with tools to estimate the vulnerability and ecosystem service potential of these wetlands. For this purpose, the response and resilience of coastal wetlands to physical factors need to be assessed in terms of the ensuing change to their vulnerability and ecosystem services. (The data release containing lifespan estimates for the Chesapeake Bay-facing portion of the Eastern Shore of Virginia is found here: https://doi.org/10.5066/P9FSPWSF.)

Tags: atlantic-ocean, cedar-island, chincoteague-national-wildlife-refuge, coastal-ecosystems, coastal-processes, eastern-shore-national-wildlife-refuge, elevation, environment, estuarine-processes, estuary, fisherman-island-national-wildlife-refuge, geospatial-datasets, hog-island, inlandwaters, lifespan, marsh-health, metompkin-island, mockhorn-island, oceans, parramore-island, salt-marsh, sea-level-change, sediment-transport, smith-island, united-states, usgs-664c9cbdd34e1955f5a4f45f, vegetation, virginia, virginia-coast-reserve, wallops-island, wetland-ecosystems, wetland-functions
Organization: Department of the Interior
Global aquatic Isoëtes Database (acronym GaID) as of 2024

Isoëtes are iconic but understudied wetland plants, despite having suffered severe losses globally mainly because of alterations in their habitats. We therefore provide the first global, comprehensive data set of aquatic Isoëtes and their habitats. We compiled a global database that includes all known environmental data collected from 1935 to 2023 regarding aquatic Isoëtes. This resulted in 2,179 records. The environmental data taken at Isoëtes' sampling stations varied but may include measures of water quality, water depth, and substrate composition.

Tags: biota, freshwater-ecology, isoetes, isoetes-echinospora, isoetes-lacustris, isoetids, quillworts, submerged-macrophyte-conservation, usgs-664c9075d34e1955f5a4f452
Organization: Department of the Interior
Riverine carbon form and flow data from a temperate forested watershed in Southeast Alaska (2021)

Data from high frequency sampling of multiple carbon forms were collected in a predominately rain-fed watershed in Southeast Alaska during the main run-off season (May-October 2021). The dataset includes dissolved organic carbon, particulate organic carbon, coarse particulate organic carbon, and invertebrate biomass carbon point samples and daily stream flow. The objective of this study was to collect data on carbon export and flow to model watershed export of carbon forms.

Tags: alaska, biogeochemistry, environment, hydrology, organic-matter, riverine-carbon, southeast-alaska, usgs-664ba2b7d34e1955f5a4770e
Organization: Department of the Interior
Salinity tolerance of grass carp and silver carp during egg and early larval stages

We tested salinity tolerance of grass carp and silver carp eggs and larvae during two phases of development – pre-gas bladder inflation and post gas bladder inflation to the 	development of the second gas bladder chamber, using 6 different salinity concentrations ranging from 0 to 36 ppt. Growth and developmental rates were also observed after exposure. After the initiation of horizontal swimming, grass carp larvae were tested in a Y-maze to assess any preferences for salinity levels.

Tags: animal-behavior, aquatic-biology, biota, boone-county-missouri, columbia-environmental-research-center, developmental-biology, early-life-history, fish, invasive-species, physiological-tolerance, salinity, usgs-664b9bbad34e1955f5a4763a
Organization: Department of the Interior