AndreaBozzo/ceres-open-data-index huggingface dataset:
Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Upper Peninsula, U.S.: Dikes

This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. These data represent the location of dikes within the Upper Peninsula Restoration Assessment (UPRA) study area. An ArcGIS model (Python script) identified dikes as having a difference in elevation above a certain threshold. If the elevation difference was below a certain threshold, the area was not considered a dike. However, if the difference in elevation between two points was significantly high, then the area was marked as a dike. Areas continuous with each other were considered part of the same dike. Data underwent quality control (QC) procedures by having Subject Matter Experts and those familiar with the area examine the data output, comparing the proposed dike locations to aerial imagery, flowline data, and the Digital Elevation Model (DEM). Dikes that appeared to be false positives were deleted from the dataset. Please refer to the process steps and https://glcwra.wim.usgs.gov/ for further explanation on the methods.
The GLCWRA initiative identifies coastal wetland areas that have the greatest habitat restoration potential. The data model uses seven parameters to identify and rank wetland restoration areas, resulting in a composite index raster that can be used by ecological managers and planners to assist with the selection of wetland restoration sites.
The parameters are 
Parameter 0: Mask
Parameter 1: Hydroperiod
Parameter 2: Wetland Soils
Parameter 3: Flowlines
Parameter 4: Conservation and Recreation Lands
Parameter 5: Impervious Surfaces
Parameter 6: Land Use (represents developed areas without impervious surfaces but high societal value)
The ancillary data include dikes, degree flowlines, study area and culverts. These data layers are put through an ecological model, which results in a composite restoration index of ranked restoration areas.

Tags: chippewa, environment, geoscientificinformation, great-lakes, habitat-suitability-indices, holocene, hydrology, inlandwaters, lake, lake-huron, lake-michigan, lakeshore, mackinac, michigan, natural-resource-management, remediation, resource-management, river, stream, usgs-636d3354d34ed907bf6ba0f1, water-quality, wetland, wetland-ecosystems, wetland-functions, wetland-restoration
Organization: Department of the Interior
Tile index for Alaska coastal orthoimagery and elevation data: Icy Cape to Cape Prince of Wales, 2016

This part of the data release presents a shapefile that includes a spatial index of orthoimagery and elevation data describing the Alaskan coastline from Icy Cape to Cape Prince of Wales. The data products referenced in this index include orthoimagery, digital surface models, and elevation point clouds which were generated from aerial imagery using structure-from-motion methods. Fairbanks Fodar, a contracted mapping service, collected the aerial imagery in 2016 and created all of the data products referenced here. Due to the enormous extent of this dataset, the products are split into separate files with more manageable sizes. Each polygon in this shapefile index provides a geographic outline of a data file’s coverage, corresponding file name, and data type. Additionally, the orthoimagery and digital surface model files include a link to stream the file using any software that supports access to cloud optimized geotiffs (COGs).

Tags: aerial-photography, beach, beach-ridge, cape-beaufort, cape-espenberg, cape-krusenstern, cape-lewis, cape-lisburne, cape-prince-of-wales, cape-sabine, cape-thompson, chukchi-sea, cliff, cmhrp, coast, coastal-and-marine-hazards-and-resources-program, coastal-processes, deering, earth-sciences, geography, geomorphology, geospatial-datasets, icy-cape, image-collections, imagerybasemapsearthcover, kasegaluk-lagoon, kilikralik-point, kivalina, kotzebue, kotzebue-sound, marryat-inlet, oceans, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, point-hope, point-lay, remote-sensing, shishmaref, shore, sitkok-point, state-of-alaska, structure-from-motion, u-s-geological-survey, usgs, usgs-636c9e13d34ed907bf6b315a, wainwright, wevok
Organization: Department of the Interior
SedCam Model Calibration Imagery Acquired June 2020 to September 2021 at East Branch Brandywine Creek (USGS 01480870)

Two empirical simple linear regression models were developed from SedCam imagery and concurrent physical sediment samples over a 20-month period at the East Branch Brandywine Creek gage (USGS 01480870). The image files included here are a subset, used in the calibration dataset for these regression models. Models relate the explanatory variable, Rmax (maximum digital number of the red band, which peaks at a wavelength of 590 nanometers) to point and cross-sectional mean sample response variables (milligrams per liter). These regression models predict suspended-sediment concentration from a non-contact sediment surrogate technique to improve surface water monitoring operations. Files include Nikon Electronic Format (.NEF) raw files, Adobe Photoshop sidecar (.xmp) files, and post-processed (.tif) files for ten frames.

Tags: delaware-river, dem, digital-elevation-model, east-branch-brandywine-creek, elevation-data, geomorphology, hydrology, inlandwaters, pa, photogrammetry, sediment, topography, usa, usgs-636c3ee1d34ed907bf6abbb6, volcanic-landforms, volcano
Organization: Department of the Interior
Blue-winged and Golden-winged Warbler Breeding Season Occurrences in North America, 1932-2021

These data are comprised of geo-located breeding season occurrences of Blue-winged Warblers (Vermivora cyanoptera) and Golden-winged Warblers (Vermivora chrysoptera) in North America, 1963-2021. These data were collated from eBird (Cornell Lab of Ornithology) and the North American Breeding Bird Survey (US Geological Survey).

Tags: biogeography, biological-occurrence, biota, location, maps-and-atlases, occurrence, presence-absence, species-distribution, usgs-636be435d34ed907bf6aba6a, vermivora
Organization: Department of the Interior
Water quality and contaminants in stream surface waters collected in the Shenandoah Valley, 2021

The data presented in this data release includes 11 field/water quality parameters, concentrations of 16 nutrients/anions, dissolved organic carbon, 14 organic contaminants, net estrogenicity concentrations, and 51 inorganic constituents in surface water collected twice from 28 stream sites and collected once from 2 stream sites in the Shenandoah Valley (Virginia and West Virginia, USA), in the summer of 2021 (Table_1_Sites and Table_2_Methods). The estrogenicity, inorganic, and organic chemical characteristics of river waters were analyzed using 19 separate analytical methods at 5 laboratories (Table_2_Methods). Surface water was analyzed for water quality and nutrients (Table_3_WQ_Nutrients_Anions_DOC), toxic contaminants that impact stream and organismal health including a variety of anthropogenic contaminants (i.e., chelating agents, pharmaceuticals, pesticides, and plasticizers) (Table_4_Detected_Toxics_PFAS), perfluoroalkyl and polyfluoroalkyl substances (Table_4_Detected_Toxics_PFAS), and additionally hormone activity (Table_5_Estogenicity), and major and trace elements (Table_6_Inorganics). Quality assurance (QA) field blanks (Table_7_Field_Blanks) and laboratory QA (Table_8_PFAS_Matrix_Spikes and Table_9_AQHAZ_Surrogates) also are presented.

Tags: anthropogenic-contaminants, aquatic-ecosystem-health, complex-chemical-mixtures, environment, inlandwaters, inorganic-contaminants, nutrients, organic-contaminants, organic-matter-characterization, perfluoroalkyl-and-polyfluoroalkyl-substances, shenandoah-valley, stream-health, surface-water-non-marine, surface-water-quality, united-states, usgs-636be23cd34ed907bf6aba66, virginia, water-quality, west-virginia, world
Organization: Department of the Interior
Daily Nooksack River Basin Nutrient Loading Estimates from 2018 to 2021

The Nooksack River watershed comprises the majority of the Water Resources Inventory Area 1 (WRIA 1) located in Whatcom County in Washington State. From its headwaters in the northwestern Cascade Mountains, the Nooksack River drains approximately 809 square miles, comprising most of western Whatcom County, including agricultural areas and the developed lowlands surrounding the towns of Deming, Everson, Lynden, and Ferndale. The Nooksack River enters the Lummi Indian Reservation at its eastern extent, which contains the majority of the Nooksack River delta before it discharges into the marine waters of Bellingham Bay. The Nooksack River is also the primary source of freshwater into Portage Bay, which is located approximately 5 miles southwest of the Nooksack River delta. Continuous nitrate monitoring data were collected at three sites in the Nooksack Basin. The first site, located on Fishtrap Creek near Lynden, WA (USGS site ID 12212050), is a tributary to the Nooksack River. This site is influenced by nearby farmland/agricultural land runoff making it an important location for monitoring nutrient loads into the main stem of the Nooksack River. Data were collected from April 28, 2018 to December 31, 2021. At a second tributary site, Kamm Creek near Lynden, WA (USGS site ID 12211390), data were collected from October 7, 2019 to December 31, 2021. Lastly, the third site was located at the mouth of the Nooksack River at Ferndale, WA (USGS site ID 12213100) from March 30, 2019 to December 31, 2021. Existing USGS stationgages at the Nooksack at Ferndale and Fishtrap Creek near Lynden allow for the computation of nitrate estimated loads during the monitoring period. The daily nitrate estimated loads data provided in this data release are computed using approved USGS nitrate concentrations and river discharge. There is not a discharge record at Kamm creek, and therefore only approved nitrate concentration data is available via the National Water Information System (NWIS - https://waterdata.usgs.gov/nwis).

Tags: biota, nitrate-concentration, nitrate-flux, nitrate-load, nitrates, nutrients, usgs-636ac920d34ed907bf6a6d54, water-quality-monitoring
Organization: Department of the Interior
Drainage basins for selected transboundary streams in south-east Alaska and Canada through 2022

This dataset consists of drainage basin boundaries for selected transboundary basins draining to the Gulf of Alaska in south-east Alaska. Basins were delineated to the basin outlet using a tidal datum of mean high water (MHW). The drainage basins are provided as polygons attributed with basin drainage area and as polylines attributed with the data source for each line segment, respectively.

Tags: drainage-basins, inlandwaters, usgs-636aa32ed34ed907bf6a6b0c, watershed
Organization: Department of the Interior
Streamflow permanence modeling in Mt. Rainier National Park and surrounding area, Washington, 2018-2020

This data release contains spatially gridded geospatial data (rasters), R scripts, and supporting files to run Random Forest models to predict the probability of late summer surface flow in Mt. Rainier and surrounding area in Washington State for 2018–20. Gridded geospatial data that describes the physical conditions of Mt. Rainier National Park and surrounding area are used to refine the existing PRObability of Streamflow PERmanence (PROSPER) model (Jaeger and others, 2019). All data processing and analysis were scripted with R (version 4.0.4;  https://www.r-project.org/) and was executed from the RStudio GUI (version 1.4.1103; https://www.rstudio.com/). R scripts to prepare the geospatial data, develop random forest models, and provide predictions are contained within “MORA_Source_Code.zip”. Geospatial data and supporting files used in these scripts are contained within "MORA_Model_Inputs.zip". Predictions and a suitability grid are contained within "MORA_Model_Outputs.zip."
Jaeger K, Sando R, McShane R, Dunham J, Hockman-Wert D, Kaiser K, Hafen K, Risley J, Blasch K. 2019. Probability of Streamflow Permanence Model (PROSPER): A spatially continuous model of annual streamflow permanence throughout the Pacific Northwest. Journal of Hydrology X, 2: 100005.
First posted - 2022-05-13
Revision posted - xxxxxxx
Changes in Version 2.0
This dataset includes changes to the following files
1)	MORA_Model_Inputs that include replacement of monthly climatic FCPGs with seven-month summary of climatic FCPGs, 
2)	MORA_Source_Code to account for these changed model inputs, and additional covariate correlation analysis, and
3)	MORA_Model_Outputs include all new probability prediction rasters from the revised model.

Tags: climatologymeteorologyatmosphere, elevation, environment, geoscientificinformation, inlandwaters, mount-rainier-national-park, pacific-northwest, streamflow, usgs-636a7154d34ed907bf6a6876, washington
Organization: Department of the Interior
Isotope data of vesicomyid clams collected in the Pacific Ocean off the Oregon coastline in 2019

Isotope data for vesicomyid clams collected in the Pacific Ocean off the Oregon coastline in 2019.

Tags: biota, clams, cold-seeps, oregon, pacific-ocean, stable-isotopes, usgs-636a62a7d34ed907bf6a6852
Organization: Department of the Interior
Gravity data and geophysical gradient data of the Stockton 30 x 60 minute quadrangle, California

This data release presents point data associated with the geologic and geophysical maps of the Stockton 30 x 60 minute quadrangle, California.  Data include principal fact information for new gravity measurements collected by the U.S. Geological Survey from 2015 to 2018 and for existing gravity data.  Gravity and magnetic gradients were also calculated in the Stockton 30 x 60 minute quadrangle, California. The gravity data have been processed to isostatic residual gravity anomalies that reflect crustal density variations.  Maximum horizontal gradients were calculated from gravity and magnetic potential grids of the Stockton quadrangle to map out structures that juxtapose rocks of differing density and magnetization, respectively.

Tags: geoscientificinformation, gravity-gradient, gravity-measurement, livermore, magnetic-gradient, mount-diablo, stockton, tracy, usgs-63698708d34ed907bf6a199a
Organization: Department of the Interior
Percent Shrub Cover for the Desatoya Mountains, Nevada, Derived from Worldview-2 and UAS Imagery (2018)

Accurate maps of habitat availability for Greater Sage-grouse (Centrocercus urophasianus) across broad extents are of paramount importance to conservation efforts in sagebrush ecosystems across the Great Basin, particularly for habitat assessments and mitigation efforts. However, the ability to model sage-grouse habitat at fine spatial scales necessary for microhabitat assessment is constrained by the spatial and spectral resolution of most measurements remotely sensed of vegetation composition. Fractional approaches that scale plot-based measures of vegetation composition to satellite imagery that yield estimates of percent cover at relatively coarse resolution (e.g., 30 x 30 meter pixels) are well suited for regional and local estimates at relatively broad spatial scales (e.g., 3rd order macrohabitat selection and availability), but precision at individual pixels that could represent finer selection patterns by sage-grouse (e.g., 4th order microhabitat selection) is often poor. Here, we present results from a proof-of-concept study at a sagebrush site in central Nevada, where estimates of shrub cover in training plots derived from ultra-high-resolution (near 3 centimeters) imagery collected with uncrewed aircraft systems (UAS) are applied to multi-spectral WorldView-2 scenes using regression tree (RT) models. The approach yields fractional estimates of shrub cover at a 2 meter resolution that more closely correlate with actual field measurements that reflect finer selection patterns of sage-grouse compared to other widely available fractional products most suited for macrohabitat applications. An advantage of the UAS-RT approach is that large volumes of training data can be collected rapidly from UAS compared to traditional ground-based vegetation surveys, which could ultimately yield previously lacking estimates of microhabitat availability across macrohabitat or landscape level extents. Our map was highly accurate (mean absolute error of 7.28) compared to the measured accuracy of other available products, captured land cover and shrub variability in high-resolution, and can be used to develop predictive models of sagebrush and sage-grouse response to management actions.

Tags: aerial-photography, biota, desatoya-mountains, environment, fractional-cover, geoscientificinformation, great-basin, habitats, image-analysis, imagerybasemapsearthcover, microhabitat, nevada, remote-sensing, shrubland, shrubland-ecosystems, spatial-analysis, uncrewed-aircraft-systems, united-states, usgs-63697a55d34ed907bf6a1935
Organization: Department of the Interior
Phenology effects in the North American Breeding Bird Survey - Results by species in .rdata format

This data product provides summary information, by species, of changes in relative visibility of birds (phenology effects) through the April - July time period in which the North American Breeding Bird Survey (BBS) is conducted.   Data are presented for 408 species of birds.  Seasonal phenology effects are presented for selected latitudes and years, documenting changes in visibility and a variety of statistics to allow users to assess the significance of those effects.  Results are presented as R data sets as supplemental material to primary results presented as csv files.

Tags: bird-breeding-phenology, bird-trend-estimates, breeding-bird-survey, breeding-bird-survey-analysis, canada, climate-change, united-states-of-america, usgs-636971bed34ed907bf6a18e7
Organization: Department of the Interior
Russian River Integrated Hydrologic Model (RRIHM): Watershed Streams

This data release is a subset of the National Hydrography Dataset (NHD) flowlines covering the Russian River watershed and the Russian River Integrated Hydrologic Model (RRIHM). The majority of this metadata was modified from the source metadata. 
Abstract from the NHD metadata:
The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data was originally developed at 1:100,000-scale and exists at that scale for the whole country. This high-resolution NHD, generally developed at 1:24,000/1:12,000 scale, adds detail to the original 1:100,000-scale NHD. (Data for Alaska, Puerto Rico and the Virgin Islands was developed at high-resolution, not 1:100,000 scale.) Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water bodies. Reaches are also defined on waterbodies and the approximate shorelines of the Great Lakes, the Atlantic and Pacific Oceans and the Gulf of Mexico. The NHD also incorporates the National Spatial Data Infrastructure framework criteria established by the Federal Geographic Data Committee.
The National Hydrography Dataset is a comprehensive set of digital spatial data that encodes information about naturally occurring and constructed bodies of water, paths through which water flows, and related entities. The information encoded about features includes a feature date, classification by type, other characteristics, a unique common identifier, the feature length or area, and (rarely) elevation of the surface of water pools and a description of the stage of the elevation. For reaches, encoded information includes a reach code. Names and their identifiers in the Geographic Names Information System, are assigned to most feature types. The direction of flow is encoded for networked features. The data also contains relations that encode metadata, and information that supports the exchange of future updates and improvements to the data. The names and definitions of all feature types, characteristics, and values are in the Standards for National Hydrography Dataset: Reston, Virginia, U.S. Geological Survey, 1999. The document is available online through https://www.usgs.gov/ngp-standards-and-specifications/hydrography-standards-and-specifications (link acquired in 2023, since source metadata link was broken).
Information about tables and fields in the data are available from the user documentation for the National Hydrography Dataset at http://nhd.usgs.gov. The National Map - Hydrography Fact Sheet is also available at: https://pubs.usgs.gov/fs/2009/3054/  (link acquired in 2023, since source metadata link was broken).

Tags: california, hydrology, modeling, russian-river, united-states, usgs-636967e3d34ebe44250821f9, water-resources
Organization: Department of the Interior
Maine StreamStats Foundation Data Layers

The U.S. Geological Survey, in cooperation with Maine Department of Transportation, has compiled a series of GIS datasets to be implemented into the USGS StreamStats application for the State of Maine.These data were compiled from the high-resolution National Hydrography Dataset (NHD) and the Maine Lidar-Derived Watersheds (Sturtevant and Schoen, 2022). By using these datasets users will be able to delineate watersheds with the StreamStats application more accurately than previously possible. The datasets are provided in five separate child items.

Tags: elevation, geography, geospatial-datasets, hydrology, land-surface-characteristics, lidar, streamflow, usgs-63696074d34ebe44250821d3, water-resources, watershed-management
Organization: Department of the Interior
Predictions of lake water temperatures for eight reservoirs in Missouri US, 1980-2021

Lake temperature is an important environmental metric for understanding  habitat suitability for many freshwater species and is especially useful when temperatures are predicted throughout the water column (known as temperature profiles). This dataset provides estimates of water temperature at half meter depths for eight reservoirs in Missouri, USA using version 3  of the General Lake Model (Hipsey et al. 2019). The reservoirs are: Bull Shoals Lake, Lake Ozark, Lake Stockton, Mark Twain Lake, Pomme De Terre Lake, Table Rock Lake, Truman Reservoir, and Wapapello Lake.
Both calibrated and uncalibrated model configurations (see 'GLM_{cal|uncal}_nml.zip'  files), as well as, predicted temperatures (see 'GLM_{cal|uncal}_profile_results.zip' files)  for each of the eight reservoirs are included. In addition, the spatial,  observational, and climatic driver datasets ('study_lakes.zip', 'temperature_obs.zip',  and 'NLDAS_GLM_csv.zip', respectively) required to run the models are available.  Lastly, a crosswalk between the reservoir names, the &lt;a href="https://www.usgs.gov/national-hydrography/nhdplus-high-resolution"&gt;USGS National Hydrography  Dataset High Resolution (NHDHR)&lt;/a&gt; permanent identification codes (Prmnn_I), and identifiers defined by the University of Missouri is provided (see the 'mo_nhdhr_xwalk.csv' file).
This research was funded by the Midwest Climate Adaptation Science Center (MW CASC).

Tags: ar, arkansas, environment, inlandwaters, missouri, mo, modeling, reservoirs, temperate-lakes, temperature, thermal-profiles, united-states, us, usgs-63659da3d34ebe442507d10b, water, water-resources
Organization: Department of the Interior