AndreaBozzo/ceres-open-data-index huggingface dataset:
Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2023 (ver. 6.0, May 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.
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)

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-6480be4fd34eac007b57a812, utah, washington, western-united-states, wyoming
Organization: Department of the Interior
2017-2018 lidar-derived mean high water shoreline for the coast of South Carolina

The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change.
This data release includes two new mean high water (MHW) shorelines extracted from lidar data collected in 2010 and 2017-2018. Previously published historical shorelines for South Carolina (Kratzmann and others, 2017) were combined with the new lidar shorelines to calculate long-term (up to 166 years) and short-term (up to 18 years) rates of change. Files associated with the long-term and short-term rates are appended with "LT" and "ST", respectively. A proxy-datum bias reference line that accounts for the positional difference in a proxy shoreline (e.g. High Water Line (HWL) shoreline) and a datum shoreline (e.g. MHW shoreline) is also included in this release.

Tags: atlantic-coast, coastal-processes, digital-shoreline-analysis-system, dsas, environment, geoscientificinformation, geospatial-datasets, mean-high-water, mhw, oceans, shoreline, shoreline-change, south-carolina, u-s-geological-survey, united-states, usgs, usgs-6480bf00d34eac007b57a87f, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
2010 lidar-derived mean high water shoreline for the coast of South Carolina

The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change.
This data release includes two new mean high water (MHW) shorelines extracted from lidar data collected in 2010 and 2017-2018. Previously published historical shorelines for South Carolina (Kratzmann and others, 2017) were combined with the new lidar shorelines to calculate long-term (up to 166 years) and short-term (up to 18 years) rates of change. Files associated with the long-term and short-term rates are appended with "LT" and "ST", respectively. A proxy-datum bias reference line that accounts for the positional difference in a proxy shoreline (e.g. High Water Line (HWL) shoreline) and a datum shoreline (e.g. MHW shoreline) is also included in this release.

Tags: atlantic-coast, coastal-processes, digital-shoreline-analysis-system, dsas, environment, geoscientificinformation, geospatial-datasets, mean-high-water, mhw, oceans, shoreline, shoreline-change, south-carolina, u-s-geological-survey, united-states, usgs, usgs-6480bf1fd34eac007b57a8af, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Molokaʻi, Hawai'i vegetation structure and plant species composition of coastal wetland sites 2022

In this project, we assessed the potential for twelve coastal wetland sites on the island of Molokaʻi, Hawaiʻi, to provide socio-cultural resources and habitat for flora and fauna following restoration. In April 2022, a rapid field assessment of hydrology, soils, and vegetation was carried out at each of the wetland sites. In this data release, all the vegetation data collected during the rapid field assessment are provided. The vegetation datasets consist of three spreadsheets found in the "Attached Files" section. Each dataset has its own description.

Tags: biota, usgs-64816651d34eac007b57ff3c, vegetation
Organization: Department of the Interior
Short-term shoreline change rate transects for the South Carolina coastal region using the Digital Shoreline Analysis System version 5.1

The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. 
This data release includes two new mean high water (MHW) shorelines extracted from lidar data collected in 2010 and 2017-2018. Previously published historical shorelines for South Carolina (Kratzmann and others, 2017) were combined with the new lidar shorelines to calculate long-term (up to 166 years) and short-term (up to 18 years) rates of change. Files associated with the long-term and short-term rates are appended with "LT" and "ST", respectively. A proxy-datum bias reference line that accounts for the positional difference in a proxy shoreline (e.g. High Water Line (HWL) shoreline) and a datum shoreline (e.g. Mean High Water (MHW) shoreline) is also included in this release.

Tags: accretion, atlantic-coast, coastal-processes, digital-shoreline-analysis-system, dsas, environment, erosion, geoscientificinformation, geospatial-datasets, mean-high-water, north-america, oceans, shoreline-accretion, shoreline-change, short-term-change-rates, south-carolina, southeast-atlantic, u-s-geological-survey, united-states, usgs, usgs-6480bf41d34eac007b57a8d5, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Intersects for coastal region of South Carolina generated to calculate short-term shoreline change rates using the Digital Shoreline Analysis System version 5.1

The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. 
This data release includes two new mean high water (MHW) shorelines extracted from lidar data collected in 2010 and 2017-2018. Previously published historical shorelines for South Carolina (Kratzmann and others, 2017) were combined with the new lidar shorelines to calculate long-term (up to 166 years) and short-term (up to 18 years) rates of change. Files associated with the long-term and short-term rates are appended with "LT" and "ST", respectively. A proxy-datum bias reference line that accounts for the positional difference in a proxy shoreline (e.g. High Water Line (HWL) shoreline) and a datum shoreline (e.g. MHW shoreline) is also included in this release.

Tags: accretion, atlantic-coast, coastal-processes, digital-shoreline-analysis-system, dsas, environment, erosion, geoscientificinformation, geospatial-datasets, north-america, oceans, shoreline-accretion, shoreline-change, short-term-shoreline-change, south-carolina, southeast-atlantic, u-s-geological-survey, united-states, usgs, usgs-6480c408d34eac007b57b7c1, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
SC Bias Feature – Feature class containing South Carolina proxy-datum bias information to be used in the Digital Shoreline Analysis System

The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. 
This data release includes two new mean high water (MHW) shorelines extracted from lidar data collected in 2010 and 2017-2018. Previously published historical shorelines for South Carolina (Kratzmann and others, 2017) were combined with the new lidar shorelines to calculate long-term (up to 166 years) and short-term (up to 18 years) rates of change. Files associated with the long-term and short-term rates are appended with "LT" and "ST", respectively. A proxy-datum bias reference line that accounts for the positional difference in a proxy shoreline (e.g. High Water Line (HWL) shoreline) and a datum shoreline (e.g. MHW shoreline) is also included in this release.

Tags: atlantic-coast, cmgp, coastal-and-marine-geology-program, coastal-and-marine-hazards-and-resources-program, coastal-processes, coastal-services-center, csc, digital-shoreline-analysis-system, dsas, environment, erosion, geoscientificinformation, geospatial-datasets, national-oceanic-and-atmospheric-administration, noaa, oceans, pdb, proxy-datum-bias, shoreline-accretion, south-carolina, u-s-geological-survey, united-states, usgs, usgs-6480c553d34eac007b57bbb8, usgs-national-shoreline-change-project, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Portable Raman spectroscopic analysis of bulk crushed rock

This study presents a simplified method and empirical relationships for determining organic matter thermal maturity using a portable Raman system equipped with a 785 nm laser, for analysis of crushed, whole-rock samples. Several sets of rocks comprised of shale and coal samples with various mineralogical composition, thermal maturity, total organic carbon (TOC), and age were used to test the method and build correlations between Raman band separation (RBS) values and traditional thermal maturity indicators; organic matter reflectance (Ro) and programmed temperature pyrolysis (Tmax) values. Several sample preparation methods were tested on cuttings material and standard deviation values for RBS were minimized by washing, drying, and hand crushing the material to pass through a 40-mesh sieve, although less preparation can still yield reliable results. For the coal data set, Ro values range from 1.21-4.08% and correlated RBS values plateau at ~250 cm-1 above Ro=3.0% suggesting its correlative application below this maturity level. The second data set, comprised of disparate shale samples where both vitrinite and solid bitumen reflectance values were reported, have Ro values that range from 0.40-4.62%. Above 3.35% Ro, the corresponding RBS values plateau at ~290 cm-1, thus correlations were evaluated with a linear equation (R2= 0.96) between 0.40-3.35% Ro. Shale samples with Ro &lt;2% and Tmax &lt;551 were also used to correlate Tmax and RBS, yielding a linear correlation with an R2 of 0.94. The high degrees of correlation between whole rock RBS data and two thermal maturity indicators demonstrate the utility of this approach for generating source rock thermal maturity data from minimally processed whole rock samples which could easily be applied in field or laboratory settings. These datasets also highlight the utility of whole-rock thermal maturity techniques like programmed temperature pyrolysis and portable Raman spectroscopy versus microscopic maceral specific methods where analyst error (e.g., incorrect maceral identification) can yield potentially erroneous maturity correlations.

Tags: canada, china, colorado, crushed-rock, ireland, louisiana, north-dakota, oklahoma, pennsylvania, portable-spectroscopy, raman, texas, thermal-maturity, usgs-6480cdc4d34eac007b57de91, whole-rock-analysis
Organization: Department of the Interior
Molokaʻi, Hawaiʻi rapid assessment of hydrology in coastal wetland sites 2022

In this project, we assessed the potential for twelve coastal wetland sites on the island of Molokaʻi, Hawaiʻi, to provide socio-cultural resources and habitat for flora and fauna following restoration. In April 2022, a rapid field assessment of hydrology, soils, and vegetation was carried out at each of the wetland sites. In this dataset, all the hydrologic data collected during the rapid field assessment are provided.

Tags: biota, groundwater, hydrology, salinity, usgs-6481661dd34eac007b57ff35
Organization: Department of the Interior
Chesapeake Bay Watershed 1:24k 10, 30 and 90-meter Riparian Buffer Zones

This data release contains three 10-meter resolution GeoTIFFs representing 10-meter (35-foot), 30-meter (100-foot) and 90-meter (300-foot) riparian buffer zones along shorelines, rivers, streams, and other lotic (flowing) water features. The layers are binary, where the value of each cell represents the presence or absence of the buffer zone. In addition, the data release contains shapefile layers that document the extent of corrections that were made to the data to address errors in the stream network (see processing steps section for more details)..
The methodology combines various fine-scale input layers, including a 1:24k stream network and Chesapeake Bay 1-meter resolution Land Use/Land Cover to approximate banks of stream channels and waterbodies to better define the riparian zone (CBP, 2023; Hopkins and others, 2020). For shorelines and large rivers, the width of the buffer zone (10, 30, 90 meters) begins at the banks, where land meets water. For finer scale (1:24k) stream features, the buffer zone includes both water and riparian land area, where the buffered width begins at the estimated top of bank.
Each 10-meter resolution riparian buffer zone GeoTIFF dataset is contained in an individual .zip file (CBW_riparian_10m_24k_2024.zip, CBW_riparian_30m_24k_2024.zip, CBW_riparian_90m_24k_2024.zip). The shapefile layers that contain the data correction extents are available in the correction_layers.zip file.

Tags: aquatic-ecosystems, chesapeake, delaware, district-of-columbia, environment, land-cover, land-use, land-use-and-land-cover, maryland, new-york, pennsylvania, riparian, riparian-zone, river-systems, terrestrial-ecosystems, usgs-648236c1d34eac007b581262, virginia, west-virginia
Organization: Department of the Interior
National Hydrologic Model's Hawaiian Geospatial Fabric Parameter Database

This metadata record documents a set of 116 comma delimited files and a data dictionary describing the inputs for the U.S. Geological Survey Precipitation Runoff Modeling System (PRMS) which is used to drive the National Hydrologic Model (NHM) for the Hawaiian domain. The National Hydrologic Model database contains parameters for hydrologic response units (HRUs) and stream segments needed to run the NHM. These parameters are generated using python scripts to process input datasets such as digital elevation models, soil maps, and land cover classifications. Many of the parameters were left at their default model value as they would need to be calibrated as part of the PRMS model development process. Please refer to the Supplemental Information and the Process Description elements of this metadata record for more details on the source datasets and scripts used to generate these parameters.

Tags: canada, environment, farming, hawaii, health, hydrologic-parameters, inlandwaters, national-hydrologic-model, united-states, usgs-648346d7d34ef77fcafcd620, watershed-modeling
Organization: Department of the Interior
Surface Elevation Tablet Measurements from 10 USGS Sites Along the US Atlantic Coast (2005-2020)

Here we provide data used to report on changes in tidal marsh elevation in relation to our network of 20 fixed benchmarks located across a geographically broad network of coastal elevation monitoring stations with standard monitoring protocols. This dataset includes Surface Elevation Table (SET) measurements taken from 10 sites along the US Atlantic coast, ranging from Virginia to Maine. Each site includes 2 SETs where repeat measurements of wetland surface elevation were made from 2005-2019.

Tags: environment, mid-atlantic, north-america, sea-level-change, united-states, usgs-64834dccd34ef77fcafcd64e, wetlands
Organization: Department of the Interior
Bottom dissolved oxygen measurements from Lake Erie's Central Basin, 2021-2022

This data set, compiled by the USGS Lake Erie Biological Station, provides near-bottom measurements of temperature and dissolved oxygen for the Central Basin of Lake Erie. Data were recorded by self-contained environmental data loggers (PME, Inc., MiniDOT data loggers). The data loggers were deployed to collect data during August 2021 through November 2022 to better understand how hypoxia develops and influences fish habitat quality during lake stratification. The data loggers were deployed on acoustic telemetry receivers in a network designed to record tagged fish movements (Great Lakes Acoustic Telemetry Observation System, GLATOS). Additional years of data collection are planned, and data release will be updated as necessary.

Tags: canada, farming, field-sampling, freshwater-ecosystems, inlandwaters, lake-erie, ohio, oxygen-content-water, oxygen-saturation-water, pennsylvania, usgs-64834dfbd34ef77fcafcd657, water-temperature
Organization: Department of the Interior
Grain-size data from core S3-15G, Monterey Fan, Central California

This data release presents sediment grain-size data from samples collected from core S3-15G, a 4.72-m long gravity core collected at a depth of 3,491 meters on the western levy of the Monterey Fan on May 31, 1978 (USGS Field Activity S-3-78-SC).

Tags: assessments, cmhrp, coastal-and-marine-hazards-and-resources-program, core-analysis, drilling-and-coring, environment, grain-size-analysis, laboratory-methods, loran-c-navigation, marine-geology, monterey-bay, monterey-fan, oceans, pacific-coastal-and-marine-science-center, pacific-ocean, pcmsc, sea-floor-characteristics, sediment-analysis, sedimentology, state-of-california, substrate, u-s-geological-survey, usgs, usgs-6483777ed34ef77fcafcdaff
Organization: Department of the Interior
Estimated crop irrigation water use withdrawals in Sacramento Valley Groundwater Basin, Arizona for 2022

Observations of irrigated agricultural land within the Sacramento Valley Groundwater Basin in Arizona. Crops were verified in situ once in 2022 on May 31st; based on digitized field boundaries. Field boundaries were digitized from U.S. Department of Agriculture, National Agricultural Imagery Program County Mosaic 2021 imagery for Arizona and supplemented with Landsat and Sentinel2 imagery collections accessed via the Sentinel Hub, Sentinel Playground (https://apps.sentinel-hub.com/sentinel-playground). Satellite images were also used to identify the length of the growing season and crop condition. Water withdrawals were calculated using the modified Blaney-Criddle model of calculating consumptive use (U.S. Bureau of Reclamation, 1992 appendix A) using crop coefficients from Doorenbos and Pruitt (1975), the number of acres with active crops, crop condition, and irrigation system efficiency. The withdrawal equation was modified from "Water withdrawals for irrigation, municipal, mining, thermoelectric-power, and drainage uses in Arizona outside of active management areas, 1991-2000" (Tadayon, 2005) to account for variations in water application.

Tags: agricultural-sites, arizona, groundwater, irrigation, mohave, sacramento-valley-groundwater-basin, usgs-6483b7b6d34ef77fcafce030, water-use
Organization: Department of the Interior