AndreaBozzo/ceres-open-data-index huggingface dataset:
Daily Estimates of Chlorophyll Concentration and for 82 U.S. Rivers

This data release contains modeled daily chlorophyll concentration for 82 streams and rivers across the conterminous United States. Estimates of daily chlorophyll concentration were generated using an extreme gradient boosting (XGBoost) (Chen &amp; Guestrin, 2016) machine learning model and various measures of water quality, reach characteristics, and meteorology.
Child Items in this data release contain:
Site information: This child item contains station identifiers, location information, location type, stream order, and associated NHDPlusv2.1 reach common unique identifiers (ComID). The file format is tab-delimted with 1 row per station.
Model inputs and outputs: This child item contains XGBoost model inputs, observed chlorophyll concentrations, model estimates of chlorophyll and SHapley Additive exPlanations (SHAP) values. SHAP values were used to assess the contribution of variables to estimated chlorophyll.
Approval status: This child item contains the data source of chlorophyll data and the approval status for all USGS NWIS data at the time the data was downloaded (10/27/2021).

Tags: chlorophyll, inlandwaters, rivers, streams, usgs-61fd6865d34e622189ced573
Organization: Department of the Interior
USGS National and Global Oil and Gas Assessment Project–the Volga-Ural Basin and Timan-Pechora Basin Provinces of Russia: Assessment Unit Boundaries, Assessment Input Forms, and Fact Sheet Data Tables

This data release contains the boundaries of assessment units and input data for the assessment of undiscovered gas resources in the Volga-Ural Basin and Timan-Pechora Basin Provinces of Russia. The Assessment Unit is the fundamental unit used in the National Assessment Project for the assessment of undiscovered oil and gas resources.  The Assessment Unit is defined within the context of the higher-level Total Petroleum System.  The Assessment Unit is shown herein as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar geologic, geographic, and temporal properties within the Total Petroleum System, such as source rock, timing, migration pathways, trapping mechanism, and hydrocarbon type.  The Assessment Unit boundary is defined geologically as the limits of the geologic elements that define the Assessment Unit, such as limits of reservoir rock, geologic structures, source rock, and seal lithologies.  Machine-readable tables are provided that contain the input and results for each assessment unit summarized in the USGS Fact Sheet. Methodology of assessments are documented in USGS Data Series 547 for continuous assessments (https://pubs.usgs.gov/ds/547) and USGS DDS69-D, Chapter 21 for conventional assessments (https://pubs.usgs.gov/dds/dds-069/dds-069-d/REPORTS/69_D_CH_21.pdf).  See supplemental information for a detailed list of files included this data release.

Tags: assessment-unit, conventional-assessment-unit, energy-resources, geology, geoscientificinformation, kazakhstan, main-timan-pechora-basin-reservoirs, main-volga-ural-paleozoic-reservoirs, national-assessment-of-oil-and-gas, natural-gas, natural-gas-resources, noga2000, northwest-izhma-pechora-depression-reservoirs, oil, oil-resources, oilgas, petroleum, resource-assessment, russia, timan-pechora-foredeep-reservoirs, usgs-61fd5a11d34e622189ceb3f7, volga-ural-foredeep-paleozoic-reservoirs
Organization: Department of the Interior
Grand-White Lake Landbridge Protection (ME-19): 2018 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 Grand-White Lake Landbridge Protection (ME-19) project for 2018. This data is used as a basemap land-water classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within their project boundary. 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, cwppra, digital-elevation-models, ecosystem-monitoring, geographic-information-systems, gulf-of-mexico, image-collections, image-mosaics, louisiana, louisiana-coastal, me-19, remote-sensing, usgs-61fd2d07d34e622189ce0409, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Central Valley Hydrologic Model version 2 (CVHM2): Well Log Database

This data release provides updated borehole information to build upon and further refine a three-dimensional (3-D) texture model of valley-fill deposits in the Central Valley created by Faunt and others (2009). This model aids in understanding the aquifer system of the entire valley and will be later utilized in a groundwater flow model. The original database contained approximately 8,500 boreholes and with the addition of new data, the model now contains 14,683 boreholes. The new borehole lithologic data was sourced from the California Department of Water Resources (DWR) Online System of Well Completion Reports (OSWCR) and the California Central Valley Groundwater-Surface Water Simulation Model (C2VSim). This dataset contains (1) tabular data of individual borehole general location and construction information, (2) downhole lithologic interval data derived from well driller’s lithology logs and parsed to a series of textural descriptors.

Tags: california, central-valley, groundwater, hydrogeology, usgs-61fc85bbd34e622189cc0941
Organization: Department of the Interior
Hawaii Island forest bird movement data from 2014 to 2019

This data release includes data and metadata containing estimated and predicted locations of radio telemetered Hawaiian forest birds. Radio telemetry data was collected using an automated radio telemetry network from 2014 to 2019 from birds in two study sites, one a continuous forest and the other a fragmented forest. Four bird species that varied in age and sex were studied: the nectarivorous ʻiʻiwi (Drepanis coccinea) and ʻapapane (Himatione sanguinea), the frugivorous ʻōmaʻo (Myadestes obscurus), and the generalist Hawaiʻi ʻamakihi (Chlorodrepani virens). Data were used in the analysis for the manuscript entitled "Landscape fragmentation alters movement behavior and space use of Hawaiian forest birds."

Tags: automatic-radio-telemetry, biota, hakalau-forest-national-wildlife-refuge, hawaii-island, hawaiian-forest-birds, movement-patterns, upper-waiakea-forest-reserve, usgs-6206d877d34ec05caca53078
Organization: Department of the Interior
Central Valley Hydrologic Model version 2 (CVHM2): Three-Dimensional Framework Model

The U.S. Geological Survey (USGS) used the Borehole data to characterize the hydrogeology in the Central Valley of California for the updated Central Valley Hydrologic Model (CVHM2). These data encompass the inputs and outputs for the three-dimensional (3D) hydrogeologic Framework for the Central Valley, California, a part of the Central Valley Hydraulic Framework version 2 (CVHM2) project. These files include the shapefiles with flow layers (Flow_model_grid.zip), a scatter dataset of the modeled Central Valley (PercentCoarse_CV_50ft.csv), and the well log information and kriging parameters for the Central Valley (Kriging_Table.xlxs).

Tags: alameda-county, amador-county, butte-county, calaveras-county, california, central-valley, central-valley-california, colusa-county, contra-costa-county, el-dorado-county, environment, fresno-county, geostatistics, glenn-county, groundwater, humboldt-county, hydrogeology, inland-waters, kern-county, kings-county, lake-county, madera-county, mariposa-county, mendocino-county, merced-county, monterey-county, napa-county, nevada-county, placer-county, sacramento-county, sacramento-valley, san-benito-county, san-joaquin-county, san-joaquin-valley, san-luis-obispo-county, santa-barbara-county, santa-clara-county, shasta-county, solano-county, sonoma-county, stanislaus-county, sutter-county, tehama-county, trinity-county, tulare-county, tuolumne-county, usgs-61fc85a2d34e622189cc090e, ventura-county, yolo-county, yuba-county
Organization: Department of the Interior
Central Valley Hydrologic Model version 2 (CVHM2): Drain Flow Observations

The original Central Valley Hydrologic Model (CVHM) did not simulate tile drain discharge in the west side of the San Joaquin Valley. The updated Central Valley Hydrologic Model (CVHM2) does simulate on-farm drains. The data for the drain flow and locations were obtained from the Berkeley National Laboratory is from (WESTSIM2) (N. Quinn, Berkeley National Laboratory, written communication., 2010). This component of the data release includes:e (1) three datasets included are a spreadsheet of the available observations with the drain flows in acre-ft/month, (2) a shapefile of the WESTSIM2 drain cells, and (3) a shapefile of the original WESTSIM2 drain cells translated to the CVHM2 model grid.

Tags: california, central-valley, deep-percolation, environment, groundwater, tile-drainage, united-states, usgs-61fc8555d34e622189cc0851
Organization: Department of the Interior
Central Valley Hydrologic Model version 2 (CVHM2): Model Discretization

The updated Central Valley Hydrologic Model (CVHM2) is similar to the original Central Valley Hydrologic Model (CVHM) in terms of the basic units of model discretization. Both versions simulated monthly stress periods on the same one square mile cell spatial discretization. Although the simulation period for CVHM1 was water years 1962-2003, the CVHM2 simulation period is water years 1962-2019. Both CVHM and CVHM2 have a 6 month spin up period from April-September of 1961. The CVHM2 is now composed of 13 layers compared to the ten in the CVHM.  As in CVHM, hydraulic properties are generally based on percentage of coarse-grained deposits and these values are adjusted based on depth, spatial location (geomorphic province), and geologic units as described by Faunt and others (2009).

Tags: california, central-valley, environment, model-discretization, model-layer-thickness, model-layers, united-states, usgs-61fc8531d34e622189cc07f0
Organization: Department of the Interior
Central Valley Hydrologic Model version 2 (CVHM2): Tidal Data

These data show monthly mean sea level for the San Francisco Bay from July 1854 through December 2021. This dataset is a compilation of two locations since one location had a shorter record: the Alameda (Naval Air Station) station was used from April 1939 through December 2021 while the San Francisco station was used from July 1854 through March 1939 [Holgate and others (2013); PAMSL (2018)]. The Alameda gauge was used when these data were available due to its location being further east in San Francisco Bay and therefore a better fit for the updated Central Valley Hydrologic Model (CVHM2). The San Francisco station is located just east of the Golden Gate Bridge at 37.806667°, -122.465° while the Alameda station is southeast of the Bay Bridge at 37.771667°, -122.298333°. These data are important for establishing the boundary conditions for CVHM2, especially as the sea level rises.

Tags: alameda, alameda-naval-air-station-closed, california, central-valley, golden-gate, local-changes-in-relative-sea-level, san-francisco, san-francisco-bay, sea-level-change, tides, tides-oceanic, united-states, usgs-61fc8505d34e622189cc0779
Organization: Department of the Interior
Central Valley Hydrologic Model version 2 (CVHM2): Subsidence Package

This digital dataset contains datasets used to develop the Subsidence Package in CVHM2.  Data includes number of delay interbeds per model cell (Neq), equivalent thickness for a delay interbeds (Beq), and the zones used to define subsidence parameters.  Beq and Neq are calculated from the database of well logs, which is provided in the parent dataset. Eight zones are used to define subsidence parameters.

Tags: california, central-valley, environment, groundwater, subsidence, united-states, usgs-61fc849fd34e622189cc068b
Organization: Department of the Interior
Central Valley Hydrologic Model version 2 (CVHM2): Land Use Properties - Grid Land Use

The shapefile in this data release is the  updated Central Valley Hydrologic Model (CVHM2) model grid cells with yearly land use from 1921 to 2019. Historical land use data shows the Central Valley land use prior to agricultural development. The rise of agriculture in the Central Valley is visible over time in this data set. 
Existing land use maps covering the Central Valley were used as sources and were assigned to model grids cells for their observed land use year. This source data was used to estimate land use over time for years where no land use map was available. This was accomplished by comparing land use cells between two years where source data is available. Cells where there is no land use change remain the same and are assigned that land use over the years with missing data. Where land use change occurs, cells are assigned the land use in the newer map based on the area of the new land use and the number of years with missing data.

Tags: california, central-valley, climatologymeteorologyatmosphere, farming, land-use-and-land-cover, usgs-61fc8408d34e622189cc052d
Organization: Department of the Interior
Pine species distribution maps of the Madrean Sky Islands, United States and México

This dataset includes raster species distribution models of five pine species in the Madrean sky islands of México and the United States. Models were trained using a large bi-national field dataset (n = 1,416) of pine species observations. Species distribution models were created for the following pine species: P. arizonica (syn. P. ponderosa var. arizonica); P. discolor (syn. P. cembroides var. bicolor); P. chihuahuana (syn. P. leiophylla var. chihuahuana).  We generated 2 distribution models for each species, one model is based on topographic and bioclimatic variables (1km resolution), and the second based on topographic and Landsat remote sensing variables (30m resolution). Naming convention follows a 6 letter species code based on the latin name (i.e. Pinus arizonica = pinari) followed by f the model type (topo = topographic, clim = bioclimatic, and ndvi30 = Landsat 30m NDVI variables). A topographic and bioclimatic species distribution model for Pinus arizonica is therefore "pinari.topo-clim.tiff". Species distribution  rasters reflect probability of species occurrence (0-low, 1-high).

Tags: biota, borderlands, madrean-archipelago, microrefugia-pine-oak-forests-and-woodlands-vegetation-index-species-distribution-modeling, usgs-61fc5037d34e622189cbd90a
Organization: Department of the Interior
Annual (1986-2020) land-use/land cover maps of the Santa Cruz Watershed and Tucson metropolitan area, Arizona

Annual (1986-2020) land-use/land cover maps at 30-meter resolution of the Tucson metropolitan area, Arizona and the greater Santa Cruz Watershed including Nogales, Sonora, Mexico. Maps were created using a combination of Landsat imagery, derived transformation and indices, texture analysis and other ancillary data fed to a Random Forest classifier in Google Earth Engine. The maps contain 13 classes based on the National Land Cover Classification scheme and modified to reflect local land cover types. Data are presented as a stacked, multi-band raster with one "band"  for each year (Band 1 = 1986, Band 2 = 1987 and so on). Note that the year 2012 was left out of our time series because of lack of quality Landsat data.  A color file (.clr) is included that can be imported to match the color of the National Land Cover Classification scheme. This data release also contains two JavaScript files with the Google Earth Engine code developed for pre-processing Landsat imagery and for image classification, and a zip folder "Accuracy Data" with five excel files: 1) Accuracy Statistics describing overall accuracy for each LULC year, 2) Confusion Matrices for each LULC year, 3) Land Cover Evolution - changes in pixel count for each class per year, 4) LULC Change Matrix - to and from class changes over the period, and 5) Variable Importance - results of the Random Forest Classification.

Tags: biota, environment, land-use-land-cover, usgs-61fc4f6cd34e622189cbd903
Organization: Department of the Interior
40Ar/39Ar data and ages for volcanic rocks in the Mushroom Rock region, northeastern California

This dataset contains 40Ar/39Ar data and ages for volcanic rocks in the Mushroom Rock region, northeastern California

Tags: burney, california, geologic-faulting, geospatial-datasets, mccloud, miocene, pleistocene, pliocene, quaternary, shasta-county, siskiyou-county, structure-from-motion, usgs-61fc20abd34e622189cb3d56, volcanic-rocks
Organization: Department of the Interior
Recalculated geochemistry data for volcanic rocks in the Mushroom Rock region, northeastern California

Recalculated geochemistry data for bedrock volcanic samples listed in Table 1 Volcanic Rock Samples. Samples collected from the Mushroom Rock region, northeastern California.

Tags: burney, california, geologic-faulting, geospatial-datasets, mccloud, miocene, pleistocene, pliocene, quaternary, shasta-county, siskiyou-county, structure-from-motion, usgs-61fc1c32d34e622189cb37de, volcanic-rocks
Organization: Department of the Interior
Geochemistry data for volcanic rocks in the Mushroom Rock region, northeastern California

Geochemistry data for bedrock volcanic samples listed in Table 1 Volcanic Rock Samples. Samples collected from the Mushroom Rock region, northeastern California.

Tags: burney, california, geologic-faulting, geospatial-datasets, mccloud, miocene, pleistocene, pliocene, quaternary, shasta-county, siskiyou-county, structure-from-motion, usgs-61fc1670d34e622189cb316d, volcanic-rocks
Organization: Department of the Interior
Bedrock mapping point observations in the Mushroom Rock region, northeastern California

This dataset contains bedrock orientation from the Mushroom Rock region, northeastern California, and these data are in Table S1 in the related manuscript.

Tags: burney, california, geologic-faulting, geospatial-datasets, mccloud, miocene, pleistocene, pliocene, quaternary, shasta-county, siskiyou-county, structure-from-motion, usgs-61fc07e0d34e622189cb233c, volcanic-rocks
Organization: Department of the Interior
Datasets documenting late Pleistocene faulting in the Pondosa fault zone, Pit River Region, Northeastern California

These datasets provide bedrock mapping and geochemistry, low-temperature thermochronology, remotely mapped lineaments, field observations of interpreted faults, and structure from motion models in the Pit River Region of northeastern California. The bedrock mapping datasets contain bedding orientations and field rock descriptions and associated geochemistry and 40Ar/39Ar data for a limited number of samples. Low-temperature thermochronology datasets contain (U-Th)/He measurements for two samples from the Klamath terranes. Remotely mapped lineaments, field observations of lineaments, and structure from motion models document the Quaternary-active faults in the region. Simplified fault traces for interpreted Quaternary-active faults are provided for seismic hazard studies.  
These datasets are associated with the manuscript: 
Thompson Jobe, J.A., R. Briggs, R. Gold, S. DeLong, M. Hille, J. Delano, S. A. Johnstone, A. Pickering, R. Phillips, A. T. Calvert (in review). The Pondosa fault zone: a distributed dextral-normal-oblique fault system in northeastern California.

Tags: burney, california, geologic-faulting, geospatial-datasets, mccloud, miocene, pleistocene, pliocene, quaternary, shasta-county, siskiyou-county, structure-from-motion, usgs-61fbfecdd34e622189cb1bcf, volcanic-rocks
Organization: Department of the Interior
High resolution topography for two pools on the Carmel River, central California, 2014 to 2019

High-resolution topographic surveys were conducted at two pools on the Carmel River between 2014 and 2019 using a survey-grade total station. The Dam Reach pool (DMPOOL) is located within the Dam Reach, approximately 450 meters downstream of the former site of the San Clemente Dam. The Sleepy Hollow pool (SHPOOL) is located within the Sleepy Hollow reach, approximately 2.25 kilometers downstream of the former site of the San Clemente Dam.  Both pools were surveyed in 2014, 2015, 2016, 2017, and 2019 using a total station, in conjunction with the channel cross-section surveys also conducted as part of this study (see accompanying file within this data release for topographic survey transect data). For the 2015 survey, a kayak-mounted single-beam echosounder was also used to augment the data collected with the total station. Horizontal and vertical coordinates are provided for each point surveyed. Vertical coordinates are referenced to the NAVD88 vertical datum, in units of meters. Horizontal coordinates are referenced to the NAD83(2011) reference frame, projected in Universal Transverse Mercator (UTM) coordinates (zone 10N), in units of meters.

Tags: bathymetry-and-elevation, carmel-river, carmel-valley, cmgp, coastal-and-marine-geology-program, field-inventory-and-monitoring, gravel-deposits, inland-fishery-resources, inlandwaters, monterey-county, pacific-coastal-and-marine-science-center, pcmsc, river-reaches, river-systems, san-clemente-dam, topographic-mapping, topography, u-s-geological-survey, usgs, usgs-61fb0657d34e622189c7cf32
Organization: Department of the Interior