AndreaBozzo/ceres-open-data-index huggingface dataset:
Lower Salinas Valley Hydrologic Models: Agricultural and Municipal Water Supply and Groundwater Data (ver. 2.1, August 2024)

This digital dataset contains the datasets related to agricultural and municipal water supply and groundwater in the Lower Salinas Valley Hydrologic Models (LSVHM), including the Salinas Valley Operational Model (SVOM) and the Salinas Valley Integrated Hydrologic Model (SVIHM). Groundwater inflow and outflow data include reported groundwater pumpage and groundwater elevations obtained for the period from October 1, 1967, to September 30, 2018. Groundwater pumpage in the Lower Salinas Valley Hydrologic Models is grouped into (1) pre-estimated and specified municipal and industrial (referred to as water supply) and (2) simulated pumpage from all irrigation wells used to supply water for irrigation (referred to as agricultural supply). Groundwater pumpage is provided in units of acre-feet per month for each water balance subregion (Henson and Jachens, 2022). Groundwater pumpage was defined by water supply wells and agricultural supply wells. Additionally, water levels from wells were used to evaluate groundwater levels in the simulation. To support the agricultural water demand and supply estimates, surface water diversions and non-routed delivery are included for the water-balance subregions (WBS) that receive surface water for irrigation.  To support the evaluation of groundwater levels in the Lower Salinas Valley Hydrologic Models, this data release includes groundwater-level contour maps and groundwater level time series for wells used to define head-dependent flow boundaries in water balance subregions 5 and 6 in the northwestern coastal area in the Lower Salinas Valley Hydrologic Models. Water-level maps were provided by the Monterey County Water Resources Agency (MCWRA) for fall of 1994, 2003, and 2011 for a composite of shallow aquifers (&lt;201 feet below land surface) and deep aquifers (&gt;201 to 420 feet below land surface). These contours can be used for spatial comparison of the model-simulated groundwater values with observed data. Head-dependent flow boundaries were simulated using the General Head Boundary Package (GHB) of MODFLOW (Harbaugh, 2005) and are implemented to represent lateral groundwater underflow.
Citations:
Harbaugh, A.W., 2005. MODFLOW-2005, the U.S. Geological Survey modular ground-water model-the Ground-Water Flow Process: U.S. Geological Survey Techniques and Methods 6-A16, https://doi.org/10.3133/tm6A16.
Henson, W.R., and Jachens, E.R., 2022, Lower Salinas Valley Hydrologic Models: Discretization Data: U.S. Geological Survey data release. https://doi.org/10.5066/P9850MAK.

Tags: california, environment, hydrology, inlandwaters, monterey-county, salinas, san-luis-obispo-county, streamflow, surface-water-non-marine, usgs-645ab894d34ec179a83775d7, water-resources-management, watershed-management
Organization: Department of the Interior
High Resolution Canopy Structure and Density Metrics for Southwest Colorado derived from 2019 Aerial Lidar (100-Meter Resolution Data)

Canopy Density and Canopy Structure Metrics were derived for the San Juan Mountains of Southwest Colorado from Aerial point cloud data at a 1-meter resolution. The aerial Lidar data originated from the ‘CO_Southwest_NRCS_2018’ project prepared by Quantum Spatial for the USGS from a series of flyovers between 2018 and 2019 and were made available in 2021. Canopy Density metrics include Canopy Closure (CC) and Leaf Area Index (LAI).  Canopy Structure metrics include total gap area, mean distance to canopy, canopy edginess to the south and canopy edginess to the north.  
These Canopy Density and Canopy Structure Metrics were used to partition 100 m grid cells over the same area for a snow melt model called SNOWMODEL. Each grid cell was portioned into 4 groups, (1) forest area, (2) open area, (3) forest edginess with a southern aspect, and (4) forest edginess with a northern aspect. The percentage of each group was quantified for each 100 m grid and values of canopy metrics for each group at each 100-meter grid cell were defined. These values include the mean, median standard deviation, 25 percent quantile, 75% quantile, and skewness of the 1m data for the 100m grid.

Tags: canopy-density, canopy-structure, forest, high-resolution, imagerybasemapsearthcover, usgs-645a6c44d34ec179a8375b6a
Organization: Department of the Interior
Data Release for Lock 19 Underwater Acoustic Deterrent System (UADS) Study: Interim Project Update

The Underwater Acoustic Deterrent System is an experimental deterrent that utilizes underwater sounds to deter invasive carps. An experimental deployment and evaluation of a UADS is currently being conducted at Lock 19 on the Mississippi River, near Keokuk, Iowa. This dataset includes information derived from two telemetry arrays (i.e., 307 kHz HTI and 69 kHz VEMCO) deployed at and around Lock 19 to evaluate fish movement and response to the UADS in 2021 and 2022. Silver Carp, Bighead Carp, Grass Carp, and a variety of native fish species were tagged and monitored with the telemetry arrays.

Tags: biota, deterrent, invasive-carp, lock-19, mississippi-river, telemetry, underwater-acoustic-deterrent, usgs-6458fdc5d34eefd5da884b64
Organization: Department of the Interior
40Ar/39Ar isotopic data from the Day Nui Con Voi metamorphic massif, Vietnam

This data release includes electron 40Ar/39Ar collected at the U.S. Geological Survey for samples from the Day Nui Con Voi metamorphic massif, Vietnam. Rock samples were collected by Meng-Wan Yeh, Michael J. Kunk and Robert P Wintsch in 2011. Mineral separates were prepared and aliquots of amphibole, muscovite, phlogopite, biotite, and potassium feldspar were analyzed by the 40Ar/39Ar method   at the U.S. Geological Survey Bascom ARgon Dating (BARD) Laboratory in Reston, Virginia. The 40Ar/39Ar data constrain the timing of exhumation of rocks within the massif.

Tags: 40ar-39ar, bascom-argon-dating-laboratory, fbgc, geochronology, geoscientificinformation, himalaya, indochina, tectonics, u-s-geological-survey, usgs, usgs-64556827d34eefd5da84fcf0, vietnam
Organization: Department of the Interior
Biogeochemical Data from Field Samples and Laboratory Experiments, Boulder Creek Watershed, Colorado (2019-2023)

Biogeochemical processes are key drivers of chemical solubility and mobilization. Understanding these processes will lead to improved predictive capabilities and may aid with watershed management decisions. This data release presents results from the Boulder Creek, Colorado watershed, including analyses of water and sediment. From April to August 2019, water samples were collected weekly at 2 sites along Boulder Creek and 4 tributary sites draining into Boulder Creek. In August 2022, water samples were collected every 2 hours for 34 hours at 2 sites on Boulder Creek (upstream and downstream of the city of Boulder). Samples for both studies were analyzed for major cations and anions, dissolved organic carbon, UV absorbance, total dissolved nitrogen, ammonium, nitrate, alkalinity, trace metals, water isotopes, and field parameters including dissolved oxygen, pH, water temperature, and specific conductance. In August 2022, bed sediment (0-3 cm depth) samples were collected at 8 sites along Boulder Creek. The sediment was dried, sieved, pulverized, digested, and then analyzed for metals, total carbon, sulfur, and carbonate. In 2021 and 2022, laboratory incubations of sediment and stream water were conducted to assess how different oxidation-reduction conditions affect metal and nutrient concentrations. Sediment cores (0-5 cm and 5-10 cm depth) and surface water were collected from Boulder Creek at three sites upstream, within, and downstream of the city of Boulder. Samples were collected from incubation reactors over time and analyzed for major cations and anions, dissolved organic carbon, UV absorbance, total dissolved nitrogen, ammonium, nitrate, trace metals, total arsenic, pH, and specific conductance. Sediments used for the incubations were further characterized by sequential extractions with hydroxylamine and dithionite and analyzed for major cations and trace metals.
Site information, soil characterization details, incubation preparation and biogeochemical nutrient data, sediment sequential extraction data, and water-quality data are presented in this data release as ten comma-separated values (.csv) formatted tables. A data dictionary file describes the data found in the .csv files. Method details and references are located in the metadata file “Boulder Creek Watershed Data (2019-2023).xml.”

Tags: biogeochemistry, biota, environment, metals, nutrients, sediment, usgs-64553ef2d34eefd5da84e47b, water-quality
Organization: Department of the Interior
Predictions for the presence of submersed aquatic vegetation in the upper Mississippi River, USA, from years 2010-2019

The datasets are to accompany a manuscript describing the prediction of submersed aquatic vegetation presence and its potential vulnerability and recovery potential. The data and accompanying analysis scripts allow users to run the final random forests predictive model and reproduce the figures reported in the manuscript. Files from several data sources (aqa_2010_lvl3_pct_oute_joined_VEG_BARCODE.csv, eco_states_near_SAV.csv, ltrm_vegsrs_thru2019_GEOMORPHIC_METRICS_final.csv, vegetation_data.csv, and water_full.csv) were combined into a single .csv file (analysis_data_for_SAV_RandomForest.csv) used as the input for the random forest model. When intersecting points with geomorphic metrics some sites were moved slightly to ensure they were contained within aquatic areas (ltrm_veg_sites_moved.csv). Outputs from the random forest model are contained in the SAV_RandomForest_results.csv and SAV_RandomForest_results_testing_set.csv files.

Tags: biota, ecosystem-state, machine-learning, macrophyte, mississippi-river, pool-13, pool-4, pool-8, predictive-model, random-forest, resilience, submergent-plant, submersed-plant, upper-mississippi-river, usgs-64540e54d34eefd5da843ac9, vulnerability
Organization: Department of the Interior
Data Release for Lake Barkley BioAcoustic Fish Fence Effectiveness Study: Project Status Update

The BioAcoustic Fish Fence (BAFF; Fish Guidance Systems Ltd.) is a multi-modal deterrent that utilizes a combination of lights, sound, and bubbles to guide fish away from a location. An experimental deployment of a BAFF is currently ongoing at Barkley Lock and Dam on the Cumberland River near Grand Rivers, KY. This dataset includes information derived from two telemetry arrays (i.e., VEMCO and HTI) deployed in the vicinity of Barkley Lock and Dam to evaluate fish movement and response to the BAFF. Silver carp, grass carp, and native fish species were detected with this system.

Tags: barkley-lock, bioacoustic-fish-fence, biota, cumberland-river, deterrent, invasive-carp, telemetry, usgs-64540621d34eefd5da843a92
Organization: Department of the Interior
Digital Database of Microfossil samples from Southwestern Coastal Oregon

A geodatabase containing shapefiles representing the geologic units present within the study area, as well as the locations where sampling ocurred, field photography conducted by John Armentrout ocurred, and satellite imagery providing overhead views of key points of John Armentrout's study.

Tags: coos-bay, foraminiferans, fossils, micropaleontology, pacific-northwest, southern-oregon-coastal, usgs-6453cc04d34eefd5da84382b
Organization: Department of the Interior
Abandoned Mine Land (AML) Geochemical Data: Silver Island and Crater Island Mining Districts, UT

The United States Geological Survey (USGS) collected a total of 179 samples of surficial sediment from abandoned mine wastepiles, ephemeral channels, nearby outcrops, and background areas representative of the undisturbed lithology within the Silver Island and Crater Island mining districts (Krahulec, 2018).The samples were sieved to obtain the less than 177 micron fraction. Geochemical analyses were completed through a third-party contract by SGS Laboratories. Samples were analyzed for 49 major, minor, and trace elements using Inductively Coupled Plasma-Optical Emission Spectrometry (ICP-OES) and Inductively Coupled Plasma Mass Spectrometry (ICP-MS) methods (Ag, Al, As, Ba, Be, Bi, Ca, Cd, Ce, Co, Cr, Cs, Cu, Fe, Ga, Hf, In, K, La, Li, Lu, Mg, Mn, Mo, Na, Nb, Ni, P, Pb, Rb, S, Sb, Sc, Se, Sn, Sr, Ta, Tb, Te, Th, Ti, Tl, U, V, W, Y, Yb, Zn, Zr).

Tags: abandoned-mines-and-quarries, acid-mine-drainage, aluminum, antimony, arsenic, barium, beryllium, bonneville-salt-flats, box-elder-county, cadmium, campbell-peak, chromium, cobalt, cobb-peak, contaminant-transport, copper, crater-island, dust, field-sampling, geochemistry, great-salt-lake, hazards, human-environmental-safety, icp-ms, icp-oes, iron, jenkins-peak, lead, manganese, mine-district, mining-claim, molybdenum, nickel, remediation, sediment-transport, selenium, silver, silver-island-range, tetzlaff-peak, thallium, tooele-county, unconsolidated-deposits, uranium, usgs-6452b350d34eefd5da82dad9, utah, wastepile, wendover, west-wendover, zinc
Organization: Department of the Interior
3. Simulations for model archive: Identifying structural priors in a hybrid differentiable model for stream water temperature modeling at 415 U.S. basin outlets, 2010-2016

&lt;p&gt;This section provides model simulation outputs from the models described by Rahmani et al. (2023b), as well as a subset of model outputs produced by Rahmani et al. (2021) that were used for comparison within Rahmani et al. (2023b).&lt;/p&gt;
&lt;p&gt;The &lt;a href="https://www.sciencebase.gov/catalog/item/64888368d34ef77fcafe3936"&gt;full model archive&lt;/a&gt; is organized into these four child items: &lt;li&gt;&lt;a href="https://www.sciencebase.gov/catalog/item/648f9bbdd34ef77fcb001ffc"&gt; 1. Model code &lt;/a&gt;- Python files and README for reproducing model training and evaluation &lt;/li&gt; &lt;li&gt;&lt;a href="https://www.sciencebase.gov/catalog/item/648f9c49d34ef77fcb001fff"&gt; 2. Inputs &lt;/a&gt;- Basin attributes and shapefiles, forcing data, and stream temperature observations &lt;/li&gt; &lt;li&gt;&lt;a href="https://www.sciencebase.gov/catalog/item/648f9caed34ef77fcb002001"&gt; [THIS ITEM] 3. Simulations &lt;/a&gt;- Simulation descriptions, configurations, and outputs &lt;/li&gt; &lt;li&gt;&lt;a href="https://www.sciencebase.gov/catalog/item/6495df90d34ef77fcb01e285"&gt; 4. Figure code &lt;/a&gt;- Jupyter notebook to recreate the figures in Rahmani et al. (2023b) &lt;/li&gt; &lt;/p&gt;
&lt;p&gt;The publication associated with this model archive is: Rahmani, F., Appling, A.P., Feng, D., Lawson, K., and Shen, C. 2023b. Identifying structural priors in a hybrid differentiable model for stream water temperature modeling. Water Resources Research. &lt;a href=https://doi.org/10.1029/2023WR034420&gt;https://doi.org/10.1029/2023WR034420&lt;/a&gt;.&lt;/p&gt;

Tags: deep-learning, environment, inlandwaters, machine-learning, modeling, streams, united-states, us, usgs-648f9caed34ef77fcb002001, water-resources, water-temperature
Organization: Department of the Interior
Strewn shells of a large marine bivalve noted 2008 to 2017 on Anegada, British Virgin Islands

This part of the data release lists 18 localities where the shells of the tiger lucine Codakia orbicularis, a large marine bivalve, have been found on Anegada. Typically the shells were encountered a few tens of centimeters below ground in pits dug into sand. Most of the examples listed in the dataset were previously reported in https://doi.org/10.1130/GES01356.l -- field occurrences described p. 322, provenance interpreted p. 324, discordant radiocarbon ages discussed p. 324, and examples illustrated and mapped in Figure A9. The radiocarbon ages from lucines tabulated in this data set range across six radiocarbon centuries.

Tags: benthos, biota, bivalves, british-virgin-islands, carbon-14-analysis, caribbean-sea, geoscientificinformation, usgs-64929b2ad34ef77fcb008814
Organization: Department of the Interior
Predicted connectivity pathways between grizzly bear ecosystems in Western Montana: spatial data

Grizzly bear (Ursus arctos) connectivity pathways delineate predicted movement routes for grizzly bears between federally designated recovery zones in and near western Montana. These raster data are the official data release for Sells et al. (2023), "Predicted connectivity pathways between grizzly bear ecosystems in Western Montana." In summary, we built on recent work by Sells et al. (2022, 2023) to simulate movements using integrated step selection functions (iSSFs) developed from GPS-collared grizzly bears (F = 46, M = 19) in the Northern Continental Divide Ecosystem (NCDE). We applied the iSSFs in a &gt;300,000 km2 area including the NCDE, Cabinet–Yaak (CYE), Bitterroot (BE), and Greater Yellowstone (GYE) Ecosystems to simulate habitat use between ecosystems. We employed two simulation methods. First, we simulated directed movements (randomized shortest paths with 3 levels of exploration) between start and end nodes across populations. Second, we simulated undirected movements from start nodes in the NCDE, CYE, or GYE (no predetermined end nodes). We summarized and binned results as classes 1(lowest relative predicted use) -10 (highest relative predicted use) and evaluated predictions using 127 outlier grizzly bear locations. Connectivity pathways were primarily associated with mountainous areas and secondarily with river and stream courses in open valleys. Values at outlier locations indicated good model fit and mean iSSF classes at outlier locations (≥7.4) and Spearman rank correlations (≥0.87) were highest for undirected simulations and directed simulations with the highest level of exploration. Our predictive maps can facilitate on-the-ground application of this research for prioritizing habitat conservation, human-bear conflict mitigation, and transportation planning.

Tags: bears, biota, bitterroot-ecosystem, cabinet-yaak-ecosystem, connectivity, dispersal-organisms, greater-yellowstone-ecosystem, grizzly-bears, idaho, integrated-step-selection-functions, montana, movement-ecology, natural-resource-management, northern-continental-divide-ecosystem, selkirk-ecosystem, united-states, ursus-arctos, us-northern-rocky-mountains, usgs-6491b29bd34ef77fcb004434, wyoming
Organization: Department of the Interior
Molokaʻi, Hawaiʻi rapid assessment of soils 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 data release, all the soils data collected during the rapid field assessment are provided.

Tags: biota, carbon, soil-chemistry, usgs-6481663cd34eac007b57ff39
Organization: Department of the Interior
Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2023 (ver. 7.0, 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.
Maps of June 12th, 2023 were developed using satellite observation data no later than June 9.
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)
Revised: June 12, 2023 (ver. 7.0)

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-64920709d34ef77fcb004df5, utah, washington, western-united-states, wyoming
Organization: Department of the Interior
Grain-size analysis data from sediment samples in support of oceanographic and water-quality measurements at Thompsons Beach and Stone Harbor, New Jersey, collected in September 2018 and March 2022

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

Tags: atlantic, cmhrp, geoscientificinformation, grab-sampling, grain-size-analysis, hurricane-sandy, marsh-resilience, national-fish-and-wildlife-foundation, new-jersey, oceans, sediment-transport, stone-harbor, thompsons-beach, u-s-geological-survey, usgs-64920948d34ef77fcb004e06, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior