AndreaBozzo/ceres-open-data-index huggingface dataset:
Database of Trends in Vegetation Properties and Climate Adaptation Variables -- Raster Stack of Monthly Normalized Difference Vegetation Index (NDVI) for the Bylas Fire Case Study: 2014 to 2022

We apply a research approach that can inform riparian restoration planning by developing products that show recent trends in vegetation conditions identifying areas potentially more at risk for degradation and the associated relationship between riparian vegetation dynamics and climate conditions. The full suite of data products and a link to the associated publication addressing this analysis can be found on the Parent data release. For this study, the vegetation conditions are characterized using a series of remote sensing vegetation indices developed using satellite imagery, including the Normalized Difference Vegetation Index (NDVI). The NDVI is a commonly used vegetation index that quantifies relative greenness of the vegetation based on the plant’s photosynthetic activity, measured as a ratio between the Near Infrared (NIR) and Red bands (Tucker, 1979). The NDVI equation follows: NDVI = (NIR band - Red band) / (NIR band + Red band). NDVI has a range of -1 to 1, though green vegetation theoretically ranges from 0 to 1. Dense green vegetation is represented with values closer to 1 while barren soil, rock, and less-dense surface vegetation has values closer to 0. Values below 0 often represent water due to its unique reflective characteristics. All raster products were developed using the Google Earth Engine (GEE) cloud computing software program for the Upper Gila River watershed.
This is a Child Item for the Parent data release, Mapping Riparian Vegetation Response to Climate Change on the San Carlos Apache Reservation and Upper Gila River Watershed to Inform Restoration Priorities: 1935 to Present - Database of Trends in Vegetation Properties and Climate Adaptation Variables. This Child Item consists of a multi-band raster stack of monthly NDVI images from January 2014 through July 2022 covering the area of the Bylas Fire. We included data from 2022, contrasting the full study which only includes data through 2021, to include additional data regarding our post-fire vegetation response analysis. Each band within the raster stack represents a month from 2014 through 2022 (i.e., band 1 is January 2014 and band 103 is July 2022).

Tags: climate, climate-change, gila-river, normalized-difference-vegetation-index, remote-sensing, riparian-vegetation, southwest, united-states, usgs-64134a4ed34eb496d1ce3cb7, vegetation, vegetation-monitoring, wetland-ecosystems
Organization: Department of the Interior
Verification Shapefile of Irrigation Status of Agricultural Lands in Select Areas of Montana, 2019 and 2020

In 2015, agricultural irrigation withdrawals accounted for about 42 percent of the total freshwater withdrawals in the United States (Dieter and others, 2018). Consistent and accurate designations of irrigated agricultural lands, irrigation system type, conveyance systems, and water source (groundwater or surface water) are essential for the determination of irrigation water use and ultimately the sound management of our nation’s water resources.
Several local, state, and federal agencies compile data (crops, irrigation, irrigation system type, etc.) that can be used to estimate irrigation withdrawals for agricultural. The format of these data varies from data tables, typically compiled at the county level, to spatial Geographic Information System (GIS) polygon layers of agricultural lands. These data sources are often incomplete, out of date, or inconsistently compiled.  
The USGS and the University of Wisconsin-Madison developed annual Landsat-based Irrigation Dataset (LANID), which consists of irrigation maps, derivative products, and manually collected ground reference data covering the conterminous US (CONUS) for the period of 1997–2017 (Xie and Lark, 2021a). These maps were developed using verified irrigated-lands GIS datasets (i.e. training data) coupled with remotely-sensed, 30-meter resolution Landsat-derived data. The current and future availability of verified field-level data is required to train and validate this and other models.

Tags: broadwater-county, carter-county, daniels-county, granite-county, jefferson-county, lewis-amp-clark-county, madison-county, mccone-county, montana, powell-county, roosevelt-county, usgs-64134804d34eb496d1ce3c9f
Organization: Department of the Interior
Major- and trace-element chemical analyses of whole-rock and glass from the Kamakaiʻa Hills of the Southwest Rift Zone of Kīlauea volcano, Hawaiʻi

This dataset includes wavelength dispersive X-ray fluorescence (WD-XRF) major-oxide and trace-element whole-rock analyses, laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) trace-element whole-rock analyses, and glass analyses by electron microprobe of scoria and lava samples from the Kamakaiʻa Hills of the Southwest Rift Zone of Kīlauea volcano, Island of Hawaiʻi. Whole-rock chemical analyses were performed at the Hamilton Analytical Laboratory at Hamilton College in Clinton, New York, USA, whereas glass chemical analyses were performed at the U.S. Geological Survey in Menlo Park, California, USA.

Tags: chemical-analyses, island-of-hawaii, kamakaia-hills, klauea, lava-flow, southwest-rift-zone, tephra, usgs-6413c077d34eb496d1ce8ba9, volcanic-activity, volcanic-fissure, volcanology
Organization: Department of the Interior
Verification Geodatabase of Irrigation Status of Agricultural Lands in Select Areas of Montana, 2019 and 2020

In 2015, agricultural irrigation withdrawals accounted for about 42 percent of the total freshwater withdrawals in the United States (Dieter and others, 2018). Consistent and accurate designations of irrigated agricultural lands, irrigation system type, conveyance systems, and water source (groundwater or surface water) are essential for the determination of irrigation water use and ultimately the sound management of our nation’s water resources.
Several local, state, and federal agencies compile data (crops, irrigation, irrigation system type, etc.) that can be used to estimate irrigation withdrawals for agricultural. The format of these data varies from data tables, typically compiled at the county level, to spatial Geographic Information System (GIS) polygon layers of agricultural lands. These data sources are often incomplete, out of date, or inconsistently compiled.  
The USGS and the University of Wisconsin-Madison developed annual Landsat-based Irrigation Dataset (LANID), which consists of irrigation maps, derivative products, and manually collected ground reference data covering the conterminous US (CONUS) for the period of 1997–2017 (Xie and Lark, 2021a). These maps were developed using verified irrigated-lands GIS datasets (i.e. training data) coupled with remotely-sensed, 30-meter resolution Landsat-derived data. The current and future availability of verified field-level data is required to train and validate this and other models.

Tags: agriculture, broadwater-county, carter-county, daniels-county, granite-county, irrigation, jefferson-county, lewis-amp-clark-county, madison-county, mccone-county, montana, powell-county, roosevelt-county, usgs-641341fcd34eb496d1ce3c77, water-use
Organization: Department of the Interior
Detrital Zircon U-Pb and Hf isotope data from selected Appalachian rivers

This data release contains zircon U-Pb (n=1467) and Hf (n=332) data for five modern rivers (Connecticut, Susquehanna, Roanoke, Peedee, and Chattahoochee) draining the Appalachian mountain belt. The data show that zircon crystallization ages are characterized by several discrete populations that often correspond with orogenic episodes in the Mesoproterozoic and Paleozoic, with distinct differences between the various rivers sampled.  ɛHf values are more consistent geographically, but differ between the Grenville and Paleozoic (Taconic, Acadian, and Alleghenian) orogenies.

Tags: chattahoochee, connecticut, detrital, fluvial, geochronology, georgia, geoscientificinformation, inlandwaters, maryland, north-carolina, provenance, roanoke, sand, sediment, south-carolina, susquehanna, usgs-641309c6d34eb496d1ce3bfc, zircon
Organization: Department of the Interior
Spatial data files associated with the identification of new data for the sagebrush focal area mineral resource assessment in Nevada

In summer 2021, the Bureau of Land Management - Nevada (BLM NV) requested that the U.S. Geological Survey Mineral Resources Program (USGS MRP), acting through the Geology, Minerals, Energy, and Geophysics Science Center (GMEGSC) and other collaborating USGS Science Centers, conduct a scoping study to: 1) discover mineral resource data and relevant publications that have been released since the publication of the 2016 USGS Sagebrush Focal Area Mineral Resource Assessment (SaMiRA; Day and others, 2016) for the Nevada portion of the Focal Area, and 2) evaluate whether these data support an update to the assessment for the SFA lands in Nevada. The commodities of interest for this scoping study are: copper, gold, lead, lithium, molybdenum, silver, tungsten, vanadium, zinc, and rare earth elements (REEs). This report is being released as a restricted file federal interagency report (RFFIR).
This data release comprises the geospatial files used in the post-2016 assessment. It includes a point shapefile of exploration sites (SaMiRAII_exploration_sites.shp), a point shapefile of reanalyzed NURE geochemical data (SaMiRAII_NURE_reanalyzed.shp), four polygon shapefiles of mine claims and plans and notices for the purpose of plotting density (SaMiRAII_mill_sites_counts.shp, SaMiRAII_placer_claims_counts.shp, SaMiRAII_plans_notices_counts.shp, SaMiRAII_lode_claims_counts.shp), a polygon shapefile of mine claims (SaMiRAII_mine_claims.shp), and a polygon shapefile of plans and notices (SaMiRAII_plans_notices.shp). The SaMiRAII_mine_claims.shp and SaMiRAII_plans_notices.shp shapefiles contain overlapping polygons due to the fact that multiple claims can reside in a single section or quarter section.

Tags: geoscientificinformation, usgs-64121347d34eb496d1cdcd6a
Organization: Department of the Interior
Monthly twelve-digit hydrologic unit code aggregations of the National Hydrologic Model Precipitation-Runoff Modeling System version 1.1 forced with CONUS404-BA, 1980-2021 (ver. 2.0, April 2025)

This data release contains 16 variables from the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System (NHM-PRMS) version 1.1 modeling application forced with CONUS404-BA (Markstrom and others, 2024) from January 1980 through September 2021 that are summarized to a monthly time step and a twelve-digit hydrologic unit code for the spatial extent of the conterminous United States. The following fluxes and storages are included: total monthly precipitation, evapotranspiration, lateral flow, surface runoff, interflow, recharge, groundwater flow, and the average monthly snow water equivalent, interflow storage, groundwater storage, total storage, and soil moisture. These data can be found in the “huc12_monthly_nhmprms_conus404ba_1980_2021.nc” file.
Additionally, two supplementary files are also included in this data release. The first file (“weights_hru_to_huc12_nhmprms_conus404ba.csv”) contains the spatial weights or fraction that is used to “weight” the modeling output in the area-weighting process. The second file (“summed_weights_per_huc12_nhmprms_conus404ba.csv”) contains the total fractional area within each twelve-digit hydrologic unit code that is covered by the modeling output and is important for filtering results in the data file (where a fractional coverage may be less than one).

Tags: climatologymeteorologyatmosphere, conus404-ba, national-hydrologic-model-precipitation-runoff-modeling-system, nhm-prms, usgs-64120b48d34eb496d1cdcd40
Organization: Department of the Interior
Water quality data from a multiparameter sonde collected in the Herring River during November 2018 to November 2019 in Wellfleet, MA

Management efforts of the tidally-restricted Herring River in Wellfleet, MA include research to understand pre-restoration sediment conditions. Submerged multiparameter sondes that measure optical turbidity were deployed at one site landward and three sites seaward of the Herring River restriction. Periodically, the sites were visited and additional turbidity measurements were collected with a handheld multiparameter sonde, and water samples were collected for determination of suspended-sediment concentration (SSC). The handheld turbidity measurements were regressed against SSC using a repeated median regression to determine a calibration curve for calibrating the turbidity time-series data to SSC. The SSC derived from the turbidity time-series measurements can then be used to estimate the sediment budget and sediment availability after removal of the tidal restriction. The data collected with the handheld multiparameter sonde are presented here.

Tags: cape-cod-national-seashore, chequesset-dike, herring-river, inlandwaters, massachusetts, oceans, sediment-transport, suspended-material-water, usgs-6411e5b3d34eb496d1cdc91a, wellfleet
Organization: Department of the Interior
Brook Stickleback occurrence and environmental data 2020-2021

Brook Stickleback Culaea inconstans is an aquatic invasive species in Wyoming that may pose a risk to native biodiversity. Our aim was to evaluate the current risk Brook Stickleback poses to native fish species in the North Platte River drainage. We updated the current distribution of Brook Stickleback, evaluated for possible range expansion, and determined landscape-level habitat drivers and occupancy potential for streams across the North Platte River drainage. Data included in this release was used to 1: run a random forest classification model to determine Brook Stickleback habitat associations in lotic environments at the landscape scale, 2. to determine habitat suitability across the study area based on predicted values from our random forest mode, and 3: conduct non-metric multidimensional scaling (NMDS) to visualize Brook Stickleback’s community associations.

Tags: biota, usgs-6411ddebd34eb496d1cdc8ed
Organization: Department of the Interior
Results of benchmarking National Water Model v2.1 simulations of streamflow drought duration, severity, deficit, and occurrence in the conterminous United States

This data release presents truth data and benchmark results describing simulation of hydrologic drought events in the conterminous United States. This data release supports a publication (Simeone and others, 2024) which documents drought benchmarking methods and their application to the results of the National Water Model (NWM) version 2.1. Truth data used were observations at U.S. Geological Survey streamgages across the conterminous United States. These data include 4662 U.S. Geological Survey streamgages with a historical period from 1984-2016. The following files are included in this data release: 
1) kappa_long_nwm.csv: Benchmark results for the Cohen's kappa evaluation metrics in long table format.
2) spear_bias_dist_long_nwm.csv: Benchmark results for the Spearman's, bias, and distributional evaluation metrics in long table format. 
3) ann_eval_long_nwm.csv: Benchmark results for the annual drought evaluation metrics in long table format. 
4) streamflow_percentiles_nwm.zip: A zip file containing individual streamflow percentile data files used in this analysis as truth data. 
5) input_data_nwm.zip: A zip file with input data for individual streamgages used for our data analysis pipeline as truth data.
6) streamflow_gages_in_study.csv: Metadata information for the 4662 U.S. Geological Survey streamgages contained in the above datasets.

Tags: biota, conus, datasets, geoscientificinformation, hydrographic-datasets, hydrology, inlandwaters, mathematical-modeling, stream-discharge, streamflow, surface-water-non-marine, united-states, usgs-6410bbc9d34e22162d3e163e
Organization: Department of the Interior
Data to quantify ecosystem states and state transitions of the Upper Mississippi River using topological data analysis

The dataset and analysis scripts accompanies the scientific article, "Quantifying ecosystem states and state transitions of the Upper Mississippi River using topological data analysis." We coupled this highly dimensional dataset with multiple topological data analysis (TDA) techniques to classify ecosystem states, identify state variables, and detect state transitions over 30 years.

Tags: biota, mississippi-river, north-america, state-change, topological-data-analysis, topology, upper-mississippi-river, usgs-641097cad34e254fd35301c0, water-quality
Organization: Department of the Interior
Groundwater potentiometric-surface contours and well numbers used to map groundwater potentiometric-surface altitude in 2022 and groundwater-level changes between 1968, 1991, and 2022 in the alluvial aquifer in the Big Lost River Valley, south-central Idaho

Groundwater potentiometric-surface contours for spring 2022 (April 4 to 8, 2022) and autumn 2022 (October 30 to November 4, 2022) were created for the alluvial aquifer in Big Lost River Valley. The well numbers and station names used to create the potentiometric-surface contours and groundwater-level change maps are provided in this data release. The location, depth to water, and potentiometric-surface altitude for these wells can be accessed on USGS National Water Information System (NWIS) or Idaho Department of Water Resources (IDWR) groundwater portal. The interpreted 20-foot contours of the potentiometric-surface are also provided in this data release. The contours are referenced to the North American Vertical Datum of 1988 (NAVD 88). The potentiometric-surface contours are divided into three water-bearing units - shallow, intermediate, and deep - based on well depth, potentiometric-surface altitude, and hydrogeologic unit. The intermediate and deep units were only identified in the southern portion of the valley near Arco, Idaho. The potentiometric-surface contours ranged from 4,900 to 6,660 feet above NAVD 88. The groundwater-level change at well sites from spring to autumn 2022, spring to autumn 1968, spring 1968 to spring 2022, spring 1991 to spring 2022, and spring 1968 to spring 1991 were calculated and are provided in a shapefile.

Tags: butte, custer, geoscientificinformation, groundwater, hydrogeology, idaho, inlandwaters, land, mackay, north-america, united-states, usgs-64108ff5d34e254fd353017b, water-resource-management
Organization: Department of the Interior
Curve Fit regression tool y-intercept outputs for wild celery, wild rice and arrowhead for pools 4, 8, and 13 on the Upper Mississippi River system from 1998-2019

A geodatabase was developed to compile Curve Fit (Version 10.1; De Jager and Fox, 2013) regression tool standard error outputs for wild celery (Vallisneria americana), wild rice (Zizania aquatica) and arrowhead (one raster for the sum of Sagittaria rigida and Sagittaria latifolia) for pools 4, 8, and 13 on the Upper Mississippi River system from 1998-2019 using mapped abundance raster datasets. Relative abundance, for submersed species and filamentous algae, represents the sum of rake scores across the six subsites divided by the maximum possible rake score (30) at each site, multiplied by 100 (0-100%). Percent cover, for emersed, rooted floating-leaved and free-floating lifeforms, represents the maximum % cover for each category (0, 20, 40, 60, 80, 100%). Each explanatory variable (year) was paired with the corresponding raster by pool. Curve Fit was used to estimate the linear relationship between year and pixel value (one relative abundance/percent cover value per year) and create an output raster containing parameter estimates, model error, and r2. The y-intercept (parameter b) is the predicted value for the response (y) when x = 0. Outputs were developed at two temporal scales: 1998-2019 and 2010-2019.

Tags: illinois, iowa, minnesota, usgs-64106558d34e254fd3530139, wisconsin
Organization: Department of the Interior
Curve Fit regression tool standard error outputs for wild celery, wild rice and arrowhead for pools 4, 8, and 13 on the Upper Mississippi River system from 1998-2019

A geodatabase was developed to compile Curve Fit (Version 10.1; De Jager and Fox, 2013) regression tool standard error outputs for wild celery (Vallisneria americana), wild rice (Zizania aquatica) and arrowhead (one raster for the sum of Sagittaria rigida and Sagittaria latifolia) for pools 4, 8, and 13 on the Upper Mississippi River system from 1998-2019 using mapped abundance raster datasets. Relative abundance, for submersed species and filamentous algae, represents the sum of rake scores across the six subsites divided by the maximum possible rake score (30) at each site, multiplied by 100 (0-100%). Percent cover, for emersed, rooted floating-leaved and free-floating lifeforms, represents the maximum % cover for each category (0, 20, 40, 60, 80, 100%). Each explanatory variable (year) was paired with the corresponding raster by pool. Curve Fit was used to estimate the linear relationship between year and pixel value (one relative abundance/percent cover value per year) and create an output raster containing parameter estimates, model error, and r2. The standard error represents the average distance that the observed values fall from the regression line. Outputs were developed for the years 1998-2019.

Tags: illinois, iowa, minnesota, usgs-641064c9d34e254fd3530137, wisconsin
Organization: Department of the Interior
Curve Fit regression tool slope outputs for wild celery, wild rice and arrowhead for pools 4, 8, and 13 on the Upper Mississippi River system from 1998-2019

A geodatabase was developed to compile Curve Fit (Version 10.1; De Jager and Fox, 2013) regression tool standard error outputs for wild celery (Vallisneria americana), wild rice (Zizania aquatica) and arrowhead (one raster for the sum of Sagittaria rigida and Sagittaria latifolia) for pools 4, 8, and 13 on the Upper Mississippi River system from 1998-2019 using mapped abundance raster datasets. Relative abundance, for submersed species and filamentous algae, represents the sum of rake scores across the six subsites divided by the maximum possible rake score (30) at each site, multiplied by 100 (0-100%). Percent cover, for emersed, rooted floating-leaved and free-floating lifeforms, represents the maximum % cover for each category (0, 20, 40, 60, 80, 100%). Each explanatory variable (year) was paired with the corresponding raster by pool. Curve Fit was used to estimate the linear relationship between year and pixel value (one relative abundance/percent cover value per year) and create an output raster containing parameter estimates, model error, and r2.  The slope (parameter a) describes the change in y for each one-unit change in x. Outputs were developed at two temporal scales: 1998-2019 and 2010-2019.

Tags: illinois, iowa, minnesota, usgs-6410644fd34e254fd3530135, wisconsin
Organization: Department of the Interior
Fish Tissue Analysis Results, Koocanusa Reservoir, Montana, 2021

Montana Fish, Wildlife, and Parks (MT FWP), in collaboration with the United States Geological Survey (USGS) Wyoming-Montana Water Science Center (WY-MT WSC), Montana Department of Environmental Quality (MDEQ), and the United States Environmental Protection Agency (USEPA) collected fish from the Koocanusa Reservoir in 2021 for tissue analysis. Fish tissue collected included muscle, eggs, liver, and whole body. Analysis of tissues included characterization of the concentration of selenium, mercury and methyl mercury, nitrogen and carbon stable isotopes, and vitamins A and E. The purpose of these analyses was to inform state and federal management agencies on transboundary coal mining impacts to downstream fish health.

Tags: bioaccumulation, biota, columbia-river-basin, koocanusa-reservoir, kootenai, kootenai-river-basin, mercury, montana, selenium, united-states, usgs-640f47f5d34e254fd352e15e
Organization: Department of the Interior