AndreaBozzo/ceres-open-data-index huggingface dataset:
Western Lake Erie Restoration Assessment Dikes

The US Geological Survey (USGS) created the Dikes dataset (version 2.0)  as ancillary layer in the Western Lake Erie Restoration Assessment (WLERA) which covers the southwestern shore of Lake Erie. WLERA is a part of the USGS's Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative where coastal areas around the Great Lakes are identified and ranked for potential wetland restoration. The dikes dataset was created to identify human made and naturally occurring dikes or berms which have the potential to block the flow of water between Lake Erie and wetland habits. These potential dikes were outlined by selecting all the areas within the WLERA study area with a slope greater than 12 degrees (derived from the DEM created for WLERA). For more information, see the full data release documentation and the GLCWRA webpage: https://glcwra.wim.usgs.gov/.

Tags: environment, geoscientificinformation, great-lakes, holocene, hydrology, inlandwaters, lake, lake-erie, michigan, natural-resource-management, ohio, remediation, resource-management, river, stream, usgs-6536953ed34ee4b6e05bb615, water-quality, western-lake-erie, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Western Lake Erie Restoration Assessment Degree Flowlines

The U.S. Geological Survey (USGS) created geospatial datasets of potential culvert locations along with flowlines connected to southwestern Lake Erie as part of the Western Lake Erie Restoration Assessment (WLERA). The Degree Flowlines and Culverts datasets represent the flowline network and culverts in the WLERA study area. Both datasets will be served in the Great Lakes Wetlands Restoration Area mapping application [https://glcwra.wim.usgs.gov/]. The map-based user interface can be used by stakeholders to find potential areas for successful wetlands restoration. Each flowline was assigned a connectivity score describing its level of connectedness to Lake Erie. Low numbers represent fewer disconnections, such as culverts or road crossings, between the reach and the water body requiring no flow network modification to restore the area. For more information, see the full data release documentation and the GLCWRA webpage: https://glcwra.wim.usgs.gov/.

Tags: environment, geoscientificinformation, great-lakes, holocene, hydrology, inlandwaters, lake, lake-erie, lakeshore, michigan, natural-resource-management, ohio, remediation, resource-management, river, stream, usgs-653694bed34ee4b6e05bb60f, water-quality, western-lake-erie, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Western Lake Erie Restoration Assessment Composite Model

This dataset contains all the layers associated with U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative for the Western Lake Erie Restoration Assessment (WLERA) aims to identify and rank coastal areas with the greatest potential for wetland habitat restoration. Each of the 10-meter raster layers in this dataset has a unique contribution to the identification of restorable wetlands. The 7 parameters (Parameter 0: Mask, Parameter 1: Hydroperiod, Parameter 2: Wetland Soils, Parameter 3: Flowlines, Parameter 4: Conservation and Recreation Lands, Parameter 5: Impervious Surfaces, and Parameter 6: Land Use) and Index Composite directly correlate to areas that are recommended for restoration. The dikes, degree flowlines, culverts, study area and DEM datasets are supplemental layers that provide additional information around the priority rank values. All layers were produced in collaboration with the USGS Upper Midwest Water Science Center, USGS Great Lakes Science Center, and by the New College of Florida.
For more information on these parameters, see the full data release documentation and the GLCWRA webpage: https://glcwra.wim.usgs.gov/.

Tags: environment, geoscientificinformation, great-lakes, holocene, hydrology, inlandwaters, lake, lake-erie, lakeshore, michigan, natural-resource-management, ohio, remediation, resource-management, river, stream, usgs-65369455d34ee4b6e05bb608, water-quality, western-lake-erie, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Connecting River Systems Restoration Assessment Composite Model

This dataset contains all the layers associated with U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative for the Connecting River Systems Restoration Assessment (CRSRA) which aims to identify and rank coastal areas with the greatest potential for wetland habitat restoration. Each layer has a unique contribution to the identification of restorable wetlands. The 7 parameters (Parameter 0: Mask, Parameter 1: Hydroperiod, Parameter 2: Wetland Soils, Parameter 3: Flowlines, Parameter 4: Conservation and Recreation Lands, Parameter 5: Impervious Surfaces, and Parameter 6: Land Use) and Index Composite directly correlate to areas that are recommended for restoration. The dikes, degree flowlines, culverts, study area and DEM datasets are supplemental layers that provide additional information around the priority rank values. All layers were produced in collaboration with the USGS Upper Midwest Water Science Center, USGS Great Lakes Science Center, and by the New College of Florida.
For more information, see the full data release documentation and the GLCWRA webpage: https://glcwra.wim.usgs.gov/.

Tags: environment, geoscientificinformation, great-lakes, holocene, hydrology, inlandwaters, lake, lake-erie, lake-huron, lake-st-clair, lakeshore, michigan, natural-resource-management, remediation, resource-management, river, st-clair, st-clair-detroit, stream, usgs-653691f1d34ee4b6e05bb5e0, water-quality, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Sediment grain size at river outlets along the California coast

Fluvial sediment samples were collected from the lowermost reaches of 21 coastal watersheds in California, in order to characterize surficial grain size of river sediment from deposits that appeared to be recent based on field context. Samples were collected using a trowel to sample the uppermost 10 cm of sediment. Sampled locations included river-deposited sediment, upstream of tidal influence. Samples excluded coarse gravel and cobble grain sizes, if present. The watersheds selected for sampling have relatively little urban land use and no other recent data available on their fluvial sediment grain size. Sediment samples were analyzed for grain size at the U.S. Geological Survey (USGS) laboratory in Santa Cruz, California. The USGS gratefully acknowledges sampling permission granted by California State Parks.

Tags: cmhrp, coastal-and-marine-hazards-and-resources-program, data-content-subjects, datasets, earth-sciences, environment, field-inventory-and-monitoring, geoscientificinformation, grain-size-analysis, inlandwaters, nonliving-resources, pacific-coastal-and-marine-science-center, pcmsc, u-s-geological-survey, usgs, usgs-6532dd2fd34ee4b6e05bb128
Organization: Department of the Interior
Post-fire burn severity metrics from 2020 Glass fire in northern California from UAS surveys

Two UAS surveys were flown within the 2020 Glass fire extent designated as Glass 1 (338 images) and Glass 3 (352 images). Both sites were flown at 50m above ground level (AGL) using a 3DR Solo with a Ricoh GR II in a nadir position, resulting in a 1cm ground sampling distance. The imagery was processed in WebODM with the following parameters: mesh-octree-depth=13, orthophoto-resolution=1,pc-filter=0,pc-quality=ultra. An orthomosiac (labeled ‘RGB’ in file name) and height-above-ground (HAG) raster were derived from both photogrammetry projects. The raster data released herein is a selected area of interest from both study sites with x,y,and z values in meters.

Tags: environment, usgs-6532d99dd34ee4b6e05bb122, wildfires
Organization: Department of the Interior
Prairie dog trapping locations treated with placebo or vaccine baits in western states

The data were collected to determine the density and abundance of prairie dogs in relation to treatment with vaccine or placebo baits and the occurrence of plague.

Tags: arizona, biota, black-tailed-prairie-dogs, colorado, gunnisons-prairie-dogs, montana, plague, south-dakota, spatial-capture-recapture-analyses, usgs-6531a776d34ee4b6e05bafc9, utah, utah-prairie-dogs, white-tailed-prairie-dogs, wyoming
Organization: Department of the Interior
Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic for CONUS in 2022

The Monitoring Trends in Burn Severity (MTBS) Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This map layer is a thematic raster image of MTBS burn severity classes for all inventoried fires occurring in CONUS during calendar year 2022. Fires omitted from this mapped inventory are those where suitable satellite imagery was not available, or fires were not discernable from available imagery.

Tags: ak, alaska, burn-severity, burned-area, continental-u-s, conus, differenced-normalized-burn-ratio, fire-location, fire-occurrence, hawaii, hi, imagerybasemapsearthcover, landsat, location, mtbs, normalized-burn-ratio, pr, prescribed-fire, puerto-rico, sentinel, united-states, us, usgs-65311d82d34edd15305a9fc5, wildfire, wildland-fire
Organization: Department of the Interior
Guam, USGS Closed Population (NWFN), an experimental eradication of brown treesnakes in a 5-ha study site, 2016 - 2023

These data represent a case study on managing the invasive brown treesnake (Boiga irregularis) on Guam within a 5 ha snake enclosure located on Northern Guam. The site code (NWFN or North West Field North) reflects a location on Andersen Air Force Base, Northern Guam, which has been a study site for close to two decades. The experimental process followed an adaptive resource management process to develop an integrated pest management strategy for either eradication or validating whether extant species (rodents, lizards, and birds) would respond to population suppression over a 6 year removal effort. The program included an evaluation of the Aerial Delivery System, as well as a comparison of bait species (quail, chickens, rats, and mice) and size (large, small) on take rates, as well as snake removal. Additionally, later in the removal effort the data involve a comparative capture rate for snakes in live traps using mice or birds as the live lure. The final data include rates of hand capture based removal. During the period of the study snake population was monitored intensively using mark-recapture approaches. During the nocturnal visual surveys we also monitored the full scope of extant prey species (lizards, rats, and birds), which allows the snake population data to be compared with prey response.

Tags: adaptive-resource-management, aerial-delivery-system, eradication, hand-capture, live-trapping, planningcadastre, tool-dependent-response, toxic-baiting, usgs-65308e2bd34edd15305a9fa0
Organization: Department of the Interior
Digital Elevation Model from Single Beam Bathymetry XYZ Data Collected in June 2015 from the Chandeleur Islands, Louisiana

As part of the Louisiana Coastal Protection and Restoration Authority (CPRA) Barrier Island Comprehensive Monitoring Program (BICM), scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted a single-beam bathymetry survey around the Chandeleur Islands, Louisiana in June 2015. The goal of the program is to provide long-term data on Louisiana’s barrier islands and use this data to plan, design, evaluate, and maintain current and future barrier island restoration projects. The data described in this report, along with USGS bathymetry data collected in 2013 as a part of the Barrier Island Evolution Research project covering the northern Chandeleur Islands, and data collected in 2014 in collaboration with the Louisiana CPRA Barrier Island Comprehensive Monitoring project around Breton Island, will be used to assess bathymetric change since 2006-2007 and serve as a bathymetric control in supporting modeling of future changes in response to restoration and storm impacts. The survey area encompasses approximately 435 square kilometers (km2) of nearshore and back-barrier environments around Hewes Point, the Chandeleur Islands, and Curlew and Grand Gosier Shoals. This data series serves as an archive of processed single-beam bathymetry data, collected in the nearshore of the Chandeleur Islands, Louisiana from June 17-24, 2015 during USGS Field Activity Number 2015-317-FA. Geographic information system data products include: a 200 meter-cell-size interpolated bathymetry grid, trackline maps, and xyz point data files. Additional files include error analysis maps, Field Activity Collection System logs, and formal Federal Geographic Data Committee metadata.

Tags: 2015-317-fa, barrier-island-mapping, bathymetry, caris, chandeleur-islands, chandeleur-sound, cmgp, coastal-and-marine-geology-program, curlew-islands, digital-elevation-model, elevation, geophysical, geophysics, geoscientificinformation, gosier-island, grand-gosier-island, gulf-of-mexico, hips-and-sips, hydrography, imagerybasemapsearthcover, louisiana, marine-geology, oceans, single-beam, single-beam-bathymetry, spcmsc, st-petersburg-coastal-and-marine-science-center, u-s-geological-survey, usgs, usgs-652fbf4f-d6a9-4312-aaf0-74837b7f6ec2
Organization: Department of the Interior
Analysis of Polyphenols in Water Primrose (Ludwigia hexapetala) Plants from the Sacramento-San Joaquin Delta of California

Water primrose (Ludwigia hexapetala) is an invasive aquatic vegetation that has rapidly increased in coverage throughout the Sacramento-San Joaquin Delta. Water primrose has invaded wetlands and may contribute towards mortality in tule (Schoenoplectus spp.) and cattail (Typha spp.). Little research has been completed on the mechanisms responsible for marsh loss, but previous studies have suggested that water primrose contains allelopathic chemicals that could cause plant mortality. Three major allelopathic polyphenols (myricitrin, prunin, and quercitrin) previously identified in L. hexapetala leaves were measured in leaf, water, and soil samples from Delta marshes infested with water primrose. Marshes analyzed in summer, fall, and spring included Big Break, Latham Slough, Liberty Island, and Sherman Lake. Rhode Island and Venice Cut were analyzed in Summer. Samples were collected at the interface between water primrose and the marsh and within the patch of floating water primrose. In analyzing leaf samples by liquid chromatography tandem mass spectrometry, ion ratios and retention times of the prunin reference standard did not align with the analyte in the samples (i.e., prunin was not detected water primrose from the Delta). Further analysis by high resolution mass spectrometry and library matching resulted in the tentative identification of salipurposid, a structural isomer of prunin, as the potential third major polyphenol expressed by water primrose in the Delta. For the purpose of this study, salipurposid was semi-quantitated using the prunin reference standard to give concentration values. In leaves, concentrations of myricitrin, salipurposid, and quercitrin ranged 900-4397 µg/g dry weight (d.w.),  7-2913 µg/g d.w., and 363-3956 µg/g d.w., respectively.  Analysis of water samples for polyphenols found the highest number of detections in summer, with many non-detects in fall and spring. Polyphenols were detected in soil samples throughout the year. Quercitrin was the most frequently detected polyphenol in water (53%, 5-3660 ng/L) and soil (67%, 11-1766 ng/g d.w.). The proliferation of water primrose likely threatens the Delta ecosystem. Additional studies could help improve understanding of how water primrose affects native marsh habitat and causes mortality of emergent macrophytes.

Tags: big-break, ecological-competition, environment, invasive-species, latham-slough, liberty-island, liquid-chromatography, mass-spectroscopy, north-america, rhode-island, sacramento-san-joaquin-delta, san-joaquin-delta, sherman-lake, usgs-652f1fbad34edd15305a9b6a, venice-cut, water-quality
Organization: Department of the Interior
Pesticide, organic-contaminant, and wastewater-indicator results for passive samplers deployed in surface water and groundwater in Hawaiʻi, 2015–19

The U.S. Geological Survey (USGS) deployed passive samplers at surface-water and groundwater sites on the Hawaiian Islands of Kauaʻi, Oʻahu, Maui, and Hawaiʻi for several weeks each during 2015–19. The passive samplers were deployed to assess the occurrence of pesticides and pesticide degradates, herein referred to as pesticides, in water at the sites. Some of the passive samplers were also used to assess the occurrence of additional organic contaminants and wastewater indicators in water at the sites. This dataset includes files with chemical results for the passive samplers. The chemical results include masses of pesticides that accumulated in the passive samplers and concentration values that represent the average concentrations of chemicals in water during the deployment of a passive sampler at a site. The data release includes five files. The first file (1_passive-sampler_sites.csv) contains information for each passive sampler that was deployed in water. The second file (2_pesticide_masses_POCIS.csv) contains mass values of pesticides that accumulated in polar-organic-chemical-integrative sampler (POCIS) units of passive samplers. The third file (3_pesticide_concentrations_POCIS.csv) contains concentration values of selected pesticides that accumulated in POCIS units of passive samplers. The fourth file (4_organic_contaminants_SPMD.csv) contains concentration values for organic contaminants that accumulated in semipermeable-membrane-device (SPMD) units of passive samplers. The organic contaminants include organochlorine pesticides, polybrominated diphenyl ether residues, total polychlorinated biphenyl residues, and polycyclic aromatic hydrocarbon residues. The fifth file (5_wastewater_indicators_POCIS.csv) contains results for pharmaceutical compounds and organic waste compounds that accumulated in the POCIS units of the passive samplers. The third file includes water-quality standards and benchmarks established by the State of Hawaiʻi, the U.S. Environmental Protection Agency, and USGS. The USGS National Water Quality Laboratory (NWQL) determined the occurrence of pesticides and pharmaceutical compounds in POCIS units of passive samplers. The USGS Columbia Environmental Research Center (CERC) determined the occurrence of organic contaminants in SPMD units of passive samplers and determined the occurrence of organic waste compounds in POCIS units of the passive samplers.

Tags: environment, groundwater-quality, hawaii, hawaii-county, inlandwaters, kauai, maui, oahu, pesticide-and-herbicide-contamination, surface-water-quality, usgs-652f1553d34edd15305a9b60, water-quality
Organization: Department of the Interior
Pesticide concentrations in water samples and quality-control samples collected at surface-water sites in Hawaiʻi, 2016–19

This dataset contains pesticide-concentration values and other information for water samples and quality-control samples collected at surface-water sites on the Hawaiian Islands of Kauaʻi, Oʻahu, Maui, and Hawaiʻi between November 2016 and June 2019. The water water samples and quality-control samples were collected for a study that assessed pesticides in surface water in Hawaiʻi, as described in a U.S. Geological Survey (USGS) report available at https://doi.org/10.3133/sir20245071. The USGS National Water Quality Laboratory analyzed the water samples for pesticides that consisted of active ingredients in pesticide products and degradates of active ingredients in pesticide products. This dataset has three comma-separated value (csv) files. The first csv file (1_water_samples.csv) contains information for the water samples and quality-control samples. The second csv file (2_pesticide_concentrations_WS.csv) contains pesticide-concentration values for the water samples and also contains water-quality standards and benchmarks established by the USGS, the U.S. Environmental Protection Agency, and the State of Hawaiʻi. The third csv file (3_pesticide_concentrations_QC.csv) contains pesticide-concentration values and other information for quality-control samples. Concentration values in the second file were retrieved from the USGS National Water Information System (https://doi.org/10.5066/F7P55KJN) and are subject to revision. Users can access the concentration values at https://doi.org/10.5066/F7P55KJN and at The Water-Quality Portal (https://doi.org/10.5066/P9QRKUVJ). Information for the sample sites is available at https://doi.org/10.5066/P95XY6ZY and https://doi.org/10.5066/F7P55KJN.

Tags: environment, hawaii, hawaii-county, inlandwaters, kauai, maui, oahu, pesticide-and-herbicide-contamination, surface-water-quality, usgs-652f127ed34edd15305a9b59, water-quality
Organization: Department of the Interior
Movements, used habitats, and available habitats identified using Step Selection Processes for four species of waterfowl in California's Central Valley, 2016-2022

Step selection functions use animal movement patterns to estimate habitats available at each step along a movement track. These data were generated from four species of waterfowl (Anser albifrons [greater white-fronted goose], Anser caerulescens caerulescens [lesser snow goose], Anas platyrhynchos [mallard], Anas acuta [northern pintail]) using the Central Valley of California 2016 to 2022 that were fit with tracking devices collecting GPS data every hour (or subset to hourly locations). Observed movements were used to estimate a 2-mixture log-normal step length distribution for each species. The shorter mean step length mixture generally reflected step lengths consistent with individual immobility and GPS errors.  The larger mixture reflected movement within and across habitats in the landscape. Using these 2-mixture distributions, 100 random movements from the origin of each observed step along an animals track were generated to estimate habitat availability at each location along an animals track. Steps corresponding to the larger "moving" class were retained for use in step selection analyses. Habitat classes were aggregated from existing data sources, primarily annual U.S. Department of Agriculture National Agriculture Statistics Service-Cropland Data Layer (NASS_CDL) data to identify landcover type and the California Protected Areas Database to identify regions potentially providing sanctuary or refuge from hunting activity.

Tags: animal-movement, animal-tracking, biota, birds, california, central-valley, functional-response, gps-measurement, habitat-selection, habitat-suitability-indices, habitats, relative-strength-of-selection, step-selection, usgs-652edfe8d34edd15305a9ab0
Organization: Department of the Interior