AndreaBozzo/ceres-open-data-index huggingface dataset:
Predicted recreation economics under different management scenarios for Lake Powell releases

These data were compiled to predict economic impacts to angling in Glen Canyon and whitewater rafting in Grand Canyon. The objective of our study was to estimate recreation impacts, or changes in consumer surplus, under different future Interim Guidelines sEIS and LTEMP sEIS alternatives. These data include monthly impacts in nominal 2022 dollars. These data were created for operations at Glen Canyon Dam for October 2023 through November 2027. These data were created by the U.S. Geological Survey, Southwest Biological Science Center, Grand Canyon Monitoring and Research Center using mathematical modeling methods.

Tags: angling, arizona, business-and-economics, colorado-river, consumer-surplus, data-release, economic-value, economy, freshwater-ecosystems, glen-canyon, glen-canyon-dam, grand-canyon, inland-fishery-resources, inlandwaters, marble-canyon, rafting, recreation, recreational-fishery-resources, regulated-river, river-systems, sport-fishing, usgs-65d7a9f5d34ec3e1801d8095, whitewater
Organization: Department of the Interior
Specific conductance and fiber-optic distributed temperature sensing data collected at Operable Unit 2, North Chevalier Field Disposal Area (Site 11), Naval Air Station Pensacola, Florida, 2018―2022

This data release consists of two datasets, each accessible in its own child page, collected at the North Chevalier Field Disposal Area (Site 11) at Naval Air Station Pensacola in Florida. Site 11 is adjacent to Bayou Grande, which empties into Pensacola Bay. The first dataset consists of fiber-optic distributed temperature sensing data collected from March 13-March 16, 2018. The second dataset consists of specific conductance and temperature data collected from September 12, 2018-September 19,2022 from a series of shallow drivepoints installed along the shoreline at Site 11.

Tags: bayou-grande, environment, escambia-county, florida, geophysics, geoscientificinformation, groundwater, groundwater-and-surface-water-interaction, hydrogeology, hydrology, pensacola, pensacola-bay, pensacola-naval-air-station, seepage, surface-water, usgs-65d7a1b9d34ec3e1801d801c, water-temperature
Organization: Department of the Interior
Hydrologic gridded runoff and routed discharge data for Africa from 2000-2021

This dataset, VegDischarge v1, represents a significant contribution to the understanding of hydrological dynamics across Africa from 2000 to 2021. It encompasses high-resolution (1km x 1km) monthly raster data of deep drainage, surface runoff, and total runoff, derived from the VegET (VegetationEvapoTranspiration) hydrological model (Senay et al., 2023). Additionally, routed discharge data (Mizukami et al.,2021) for over 63,000 river segments is provided, employing different routing algorithms (DW, KW, KWT, MC, and IRF) to demonstrate variability in river discharge patterns. This comprehensive dataset is stored in NetCDF and Shapefile formats, offering valuable insights for policymakers, stakeholders, and researchers focused on water security, resource management, and climate resilience in Africa.
References
Senay, G. B. et al. Improvements and Evaluation of the Agro-Hydrologic VegET Model for Large-Area Water Budget Analysis and Drought Monitoring. Hydrology 10, (2023) doi: 10.3390/hydrology10080168.
Mizukami, N., Clark, M. P., Gharari, S., Kluzek, E., Pan, M., Lin, P., et al. (2021). A vector-based river routing model for Earth System Models: Parallelization and global applications. Journal of Advances in Modeling Earth Systems, 13, e2020MS002434. https://doi. org/10.1029/2020MS002434.

Tags: deep-drainage, discharge, geoscientificinformation, inlandwaters, raster-data, remote-sensing, routed-discharge-data, runoff, surface-runoff, usgs-65d758c4d34ec3e1801d7e02, veget-model, veghydro-model
Organization: Department of the Interior
Roads and Trails Map for the Upper Scotts Creek Watershed, Lake County, CA for 2022

The USGS, in cooperation with the U.S. Bureau of Land Management (BLM), created a series of geospatial products of the Scotts Creek Watershed in Lake County, California, using National Agriculture Imagery Program (NAIP) imagery from 2022 and Open Street Map (OSM) from 2019. The imagery was downloaded from United States Department of Agriculture (USDA)  - Natural Resources Conservation Service (NRCS) Geospatial Data Gateway (https://datagateway.nrcs.usda.gov/) and Geofabrik GmbH - Open Street Map (https://www.geofabrik.de/geofabrik/openstreetmap.html), respectively.
An updated trail map for the Upper Scotts Creek Watershed, including the BLM Recreational Area, was created to estimate trail densities in the watershed. A preview image of the roads and trail maps is attached to this data release (see UpperScottsCreek_Roads_and_Trails_Map_2022_USGS2022_CC0.png).

Tags: aerial-photography, california, geoscientificinformation, imagerybasemapsearthcover, lake-county, land-use-and-land-cover, remote-sensing, scotts-creek, south-cow-mountain, usgs-65d6a2e8d34ec3e1801d5e53
Organization: Department of the Interior
Land Cover Maps for the Scotts Creek Watershed, Lake County, California for 2018, 2020, and 2022

The USGS, in cooperation with the U.S. Bureau of Land Management (BLM), created a series of geospatial products of the Scotts Creek Watershed in Lake County, California, using National Agriculture Imagery Program (NAIP) imagery from 2018, 2020 and 2022. The imagery was downloaded from United States Department of Agriculture (USDA)  - Natural Resources Conservation Service (NRCS) Geospatial Data Gateway (https://datagateway.nrcs.usda.gov).
The NAIP imagery from 2018, 2020 and 2022 was classified using Random Forest Modeling to produce land cover maps with three main classifications – bare, vegetation, and shadows. A total of 600 independent reference points were used  in the accuracy assessment. The overall accuracy for all classes for each dataset is 98%. See attached ScottsCreek_20XX_AccuracyAssessment.csv files (contained within each LandCoverMap_associated_files_20XX.zip for each year respectively) for details. A preview image of the land cover map for 2018 is attached to this data release as an example (see LandCoverMap_RF_ScottsCreekWatershed_USGS2022_CC0.png).  
The percentage of bare, vegetation and shadow pixels were calculated for the complete watershed and each individual NHDPlus2.1 catchment basins (slightly modified to support hydrological modeling). These metrics can be used to quantify bare and vegetated areas and detect and quantify vegetation changes over time. 
 Users should be aware of the inherent errors in remote sensing products.  

Tags: aerial-photography, california, elevation, freshwater-ecosystems, geoscientificinformation, inlandwaters, lake-county, land-use-and-land-cover, modeling, remote-sensing, river-systems, scotts-creek, south-cow-mountain, usgs-65d69c26d34ec3e1801d54f0
Organization: Department of the Interior
DESIS and PRISMA spectral library of agricultural crops for California's Central Valley in August 2021

Here we provide Germany’s Deutsches Zentrum fu¨r Luft- und Raumfahrt (DLR) Earth Sensing Imaging Spectrometer (DESIS) and Italy’s ASI’s PRecursore IperSpettrale della Missione Applicativa (PRISMA) Derived Spectral Library of Agricultural Crops for California. It was developed using DESIS and PRISMA hyperspectral data acquired in August 2021 near Fresno, CA. The 4-bin DESIS image has 60 bands with approximately 10 nm bandwidths from 400 to 1000 nm and is available through the German Aerospace Center and Teledyne Brown (2022). The PRISMA image has 235 bands with 10-12 nm bandwidths from 400-2500 nm and is available through the Italian Space Agency (ASI) (2022). In these PRISMA data, two bands in the overlapping spectral region of the visible-near infrared sensor and the shortwave infrared sensor were removed, for a total of 233 bands. Both images were downloaded as surface reflectance products. Some DESIS bands contain negative values; the user can choose to discard these bands. The crop type data and confidence layer for the year 2021 can be accessed through the USDA National Agricultural Statistics Service (2022). The DESIS and PRISMA Derived Spectral Library of Agricultural Crops dataset characteristics are described below, with DESIS and PRISMA data provided in two separate CSV files. Each dataset contains information for 16,581 samples located where the two images overlap. The user should examine the data against the USDA NASS CDL 2021 layer and decide whether some samples should be discarded due to uncertainty in the crop class label.

Tags: agriculture, biota, hyperspectral-imaging, remote-sensing, usgs-65d66ec7d34ec3e1801d280b
Organization: Department of the Interior
Historical coregonine spawning, nursery, and general occurrence point locations in the Great Lakes of North America and their tributaries

The dataset presented here, a historical coregonine spawning database, or CORHIST for short, is the result of several years of coordinated research in archives, libraries, and field stations, to track down evidence of spawning locations for the Coregoninae sub-family of ciscoes and whitefishes in the Great Lakes of North America and their tributaries. Our objective was to accurately identify location information to coordinates and add all associated data and metadata to a database built specifically for these types of records (a database capable of storing historical, geospatial, and biological data). Data for a total of 11 accepted species of coregonines are included in this dataset. Spawning or nursery habitat designations were assigned based on a wide-range of evidence from original sources, including descriptions of physiology, ontogeny, and behaviors, interviews, first-hand and Indigenous Ecological Knowledge, and by our own examination of museum specimens. Georeferencing was completed using evidence from original records, including navigational information such as dead reckonings, landmarks like islands, lighthouses, reefs, and river mouths, and by using depth and substrate descriptions. Occasionally, supplemental sources including various historical maps and/or published bathymetry and substrate layers were used to assist in georeferencing points. Data points were summarized and quality-checked using ArcMap 10.8 and ArcGIS Pro (datum: WGS84). Reference tables are also included with this dataset.

Tags: archival-records, cartography, coregonine, coregonus, ecology, environment, fish-spawning-and-larval-aggregation, geoscientificinformation, great-lakes, habitats, historical-occurrence, lake-erie, lake-huron, lake-michigan, lake-ontario, lake-superior, native-species, prosopium, usgs-65d651dbd34ec3e1801d25f8
Organization: Department of the Interior
Forecasting smallmouth bass invasion under different management scenarios for Lake Powell releases, 2024-2027

These data were compiled for modeling efforts of Bureau of Reclamation National Environmental Policy Act (NEPA) analyses for the Colorado River in Grand Canyon, Arizona. Objective(s) of our study were to forecast water temperature, smallmouth bass population growth rate, and smallmouth bass entrainment rates under different water management scenarios. These data represent forecasted smallmouth bass entrainment rates and smallmouth bass population growth rates. Data were collected in 2023 and 2024 by the Bureau of Reclamation CRMMS and then used by the U.S. Geological Survey-Southwest Biological Science Center-Grand Canyon Monitoring &amp; Research Center in the modeling process. These data can be used to evaluate different water management strategy potential impacts on smallmouth bass.

Tags: aquatic-biology, arizona, biota, colorado-river, data-release, freshwater-ecosystems, glen-canyon, grand-canyon, hydrographic-datasets, hydrology, inlandwaters, invasive-species, lake-powell, lees-ferry, limnology, usgs-65d64532d34ec3e1801d2542, water-budget, water-quality, water-temperature
Organization: Department of the Interior
Pesticide Concentrations Measured in Zooplankton Samples Collected from the Sacramento River, Yolo Bypass, and Cache Slough Region, California, 2022 and 2023

Zooplankton samples were collected in the summer/fall of 2022 and 2023 at multiple sites in the Sacramento River, Yolo Bypass, and Cache Slough Region of California and analyzed for a suite of 160 current-use pesticides and pesticide degradates by the U.S. Geological Survey Organic Chemistry Research Laboratory. In 2022 samples were collected at two sites in the Bypass and at a comparison site on the Sacramento River from early August to mid-October. In 2023 zooplankton samples were collected at one site upstream of the Yolo Bypass in Northern California, four sites within the Bypass, one site downstream of the Bypass in the Cache Slough region, and at a comparison site on the Sacramento River from late July through early October. Samples were collected every two weeks by towing a 150-micron conical plankton net for 5 minutes by boat at each site. In the laboratory, zooplankton samples were filtered through a 63-micrometer sieve to separate the zooplankton and vegetation/detritus from the water. Large sticks, twigs, rocks, and leaves were rinsed with organic free water into the sieve and then discarded. The remaining mass in the sieve was transferred into 50 milliliter plastic centrifuge tubes, frozen overnight at -20 degrees Celsius, dehydrated completely using a freeze dryer, and then stored at -20 degrees Celsius. Immediately prior to analysis, each freeze-dried sample was homogenized and sub-sampled to a targeted final weight of 0.5 grams. Sub-samples were further homogenized with magnesium sulfate and extracted with acetonitrile at 100 degrees Celsius using an EDGE Automated Extraction System following procedures outlined in Black and others, (2023). Extracts were cleaned up using activated carbon and evaporated to 200 microliters in acetonitrile. Each sample had internal standards added and was analyzed by gas chromatography-tandem mass spectrometry for 27 pesticides and by liquid chromatography tandem mass spectrometry for 133 pesticides following methods described in Gross and others, (2024). A total of 15 pesticides were detected in the 18 zooplankton samples collected in 2022, and 16 of the samples contained multiple pesticides (up to 9 per sample). The most frequently detected compounds in 2022 were azoxystrobin, bifenthrin, fluridone, and p,p’-DDE. A total of 25 pesticides were detected in the 55 zooplankton samples collected in 2023, and 50 of the samples contained multiple pesticides (up to 16 per sample). The most frequently detected compounds in 2023 were azoxystrobin, bifenthrin, and p,p’-DDE.

Tags: california, environment, pesticide-and-herbicide-contamination, sacramento, usgs-65d64398d34ec3e1801d250e, zooplankton
Organization: Department of the Interior
Enhanced Terrain Imagery of the Marlinton 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution

This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Marlinton 30 x 60 minute quadrangle in West Virginia. The source data used to construct this imagery consists of 1-meter resolution lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2020 and 2021. The data were processed using geographic information systems (GIS) software. The data is projected in WGS 1984 Web Mercator. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation.

Tags: elevation, imagerybasemapsearthcover, lidar, topography, usgs-65d61862d34ec3e1801d1e04
Organization: Department of the Interior
Modelled Lake Powell releases and reservoir elevations under different alternative management scenarios

These data were compiled for/to modeling efforts for U.S. Bureau of Reclamation National Environmental Policy Act (NEPA) analyses for the Colorado River in Grand Canyon, Arizona. Objective(s) of our study were to create revised monthly Lake Powell elevations and outflows from Bureau of Reclamation Colorado River Mid-term Modeling System (CRMMS) traces that incorporate the alternatives in the sEIS documents and indicate when potential actions may occur and how that changes water movement and storage. These data represent monthly hydrologies for Lake Powell: inflow, outflow, and elevation forecasts for 2024-2027, as well as volumes of water in outflows for different water mangement strategies in NEPA supplemental environmental impact statement (sEIS) documents from the U.S. Bureau of Reclamation (USBOR). These data were collected in 2023 and 2024. These data were collected from the USBOR CRMMS and used by U.S. Geological Survey-Southwest Biological Science Center-Grand Canyon Monitoring &amp; Research Center modeling. These data can be used to evaluate different water management strategy potential impacts to storage in Lake Powell.

Tags: aquatic-biology, arizona, biota, colorado-river, data-release, freshwater-ecosystems, glen-canyon, grand-canyon, hydrographic-datasets, inlandwaters, invasive-species, lake-powell, lees-ferry, limnology, usgs-65d52d4fd34ec3e1801d090c, water-budget, water-quality, water-temperature
Organization: Department of the Interior
Growth of Cisco and Bloater Under Hatchery Conditions 2012-2019

Cisco and Bloater growth data from hatchery reared fish were collected in association with a project to repopulate Lake Ontario native prey species. Fish were grown and measured under hatchery conditions for up to nine months before being released into Lake Ontario. Weekly measurements of total length, total weight, and morphometrics were recorded for both species to determine growth during their first year of growth for eight separate year-classes, 2012-2019.

Tags: biota, bloater, cisco, community-ecology, coregonus-artedi, coregonus-hoyi, cortland-county, fishery-management, fishery-resources, lake-ontario, native-species, new-york, usgs-65d4e345d34ec3e1801d07d6
Organization: Department of the Interior
Water Chemistry and Smallmouth Bass Biological Data from Pine Creek and West Branch Mahantango Creek, Pennsylvania, 2015-2019

Monitoring wild fish health and associated exposure effects in regions where agriculture and development have impacted rivers and streams has become a valuable research tool.  Smallmouth bass (Micropterus dolomieu) are a sensitive, indicator species that exhibit symptoms of immunosupression and endocrine disruption in response to water quality changes and contaminant exposure.  In the Susquehanna River drainage, smallmouth bass have been used in biomonitoring assessments to help understand changes in the population due to poor young-of-the-year recruitment and health effects.  To help determine effects of agriculture and development on smallmouth bass health, two sites (a developed/agriculture site and a forested site) were selected where bass and water chemistry were sampled from 2015-2019.  Bass were sampled for histopathology to assess parasite and macrophage aggregate density in the liver and spleen, condition factor (Ktl), hepatic gene transcripts (immune function, oxidative stress, cell proliferation, stress, and contaminant, thyroid, and insulin/pancreas metabolism), hepatosomatic index (HSI), and a health assessment index (HAI).  Land use at the developed/agricultural site included greater pesticide application rates and % high phytoestrogen crop cover and there were more detections and higher concentrations of pesticides, wastewater-associated contaminants, hormones, phytoestrogens, and mycotoxins than at the forested site.  Additionally at this site, oxidative stress, lipid metabolism, and thyroid-related hepatic gene transcripts were associated with contaminants/land use applications; whereas at the forested site there were far fewer associations.  At both sites, there were multiple associations of contaminants/land use applications with biological variables (HSI, Ktl, and liver and spleen macrophage aggregate density), which may indicate that changes at the molecular level may be a better indicator of exposure effects unique to each site.  This work will help to understand the importance of timing for land management practices, how contaminants change temporally, and that agricultural practices affect hepatic gene transcripts associated with immune function and disease resistance and may negatively affect the health of smallmouth bass.

Tags: biota, chesapeake-bay-drainage, condition-factor, contaminants, health-assessment-index, hepatic-gene-transcripts, hepatosomatic-index, land-use, macrophage-aggregates, parasites, pennsylvania, pine-creek, susquehanna-river-drainage, usgs-65d4dbcdd34ec3e1801d07a3, west-branch-mahantango-creek, wild-fish-health
Organization: Department of the Interior
Mercury Methylation Assay Along a Salinity Gradient in Coastal Peat Soils in the Florida Everglades

This data was collected as part of a laboratory study examining the effects of sea level rise on mercury (Hg) methylation and demethylation rates in peat cores collected from the Florida Everglades. Peat cores were collected from a freshwater region of the Everglades, Water Conservation Area 3, in 2022 and taken to the University of California-Davis for methylation and demethylation studies. Prior to the incubations peat cores were inundated with water of different salinities (0.16 parts-per-thousand (ppt), 0.25 ppt, 0.50 ppt, 1.0 ppt, 6.0 ppt) to simulate saltwater intrusion in coastal regions of Everglades National Park. Incubations were run for 20 days. An enriched isotope tracer of inorganic Hg (201Hg) was added to the cores to track the methylation process. In tandem isotopically enriched methylmercury (204MeHg) was tracked to examine demethylation. Porewater and peat material were collected from the incubations and analyzed for Hg and MeHg. Additional parameters such as dissolved organic carbon concentration and quality, reduction-oxidation potential, major cation and anions, and other metals were monitored during the incubations to examine the controlling variables dictating Hg methylation. Across all salinity treatments, porewaters became increasingly anoxic, sulfate concentrations decreased, and MeHg concentrations increased over the course of 20 days. The findings highlight the potential for enhanced production and mobilization of MeHg in coastal wetlands of the Florida Everglades due to the onset of saltwater intrusion.

Tags: biota, mercury, methylmercury, usgs-65d4dba2d34ec3e1801d079c, wetlands
Organization: Department of the Interior
Landscape data compiled for fish health sites in and around the Chesapeake Bay Watershed.

These data include estimates of landcover and land use characteristics including high phytoestrogen crop cover, estimated pesticide applications, EPA PFAS facilities, nutrients from biosolids, and select climate (temperature and precipitation) variables summarized for several fish health sites in the eastern United States.

Tags: biology, biota, chesapeake, chesapeake-bay-watershed, environment, fish-health, inlandwaters, landcover, maryland, massachusetts, new-jersey, new-york, pennsylvania, usgs-65d4db89d34ec3e1801d0799, virginia, west-virginia
Organization: Department of the Interior