AndreaBozzo/ceres-open-data-index huggingface dataset:
Groundwater-Level Altitudes and Long-Term Groundwater-Level Changes in the Chicot and Evangeline (Undifferentiated) and Jasper Aquifers, Greater Houston area, Texas, 2023

The U.S. Geological Survey (USGS) in cooperation with the Harris‐Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District produced this dataset of groundwater‐level altitudes and groundwater‐level altitude changes in the Chicot and Evangeline aquifers (undifferentiated), and Jasper aquifer in the greater Houston area, Texas. This dataset shows current‐year (2023) groundwater‐level altitudes for each aquifer as well as 1–year (2022–23), and 5‐year (2018–23) groundwater‐level changes for each aquifer, long‐term (1990–2023 and 1977–2023) groundwater‐level changes for the Chicot and Evangeline aquifers (undifferentiated), and long‐term (2000–2023) groundwater‐level change for the Jasper aquifer. The groundwater‐level measurements from which the dataset was built are stored in the USGS National Water Information System (NWIS) (http://doi.org/10.5066/F7P55KJN) and are accessible through the NWIS Web Interface. In 2023, measured groundwater-level-altitudes for the Chicot and Evangeline aquifers (undifferentiated) ranged from about 350 feet (ft) below to about 225 ft above the North American Vertical Datum of 1988 (NAVD 88). Measured groundwater-level-altitudes for the Jasper aquifer ranged from about 260 ft below datum to about 250 ft above NAVD 88.

Tags: aquifer, brazoria-county-groundwater-conservation-district, brazoria-county-texas, chambers-county-texas, chicot-aquifer, city-of-houston-texas, elevation, evangeline-aquifer, fort-bend-county-texas, fort-bend-subsidence-district, galveston-county-texas, grimes-county-texas, groundwater, groundwater-level-altitude, harris-county-texas, harris-galveston-subsidence-district, hydrology, hypsometry, jasper-aquifer, liberty-county-texas, lone-start-groundwater-conservation-district, montgomery-county-texas, san-jacinto-county-texas, subsidence, texas, usgs-646513b6d34ec179a83dbf3c, walker-county-texas, waller-county-texas
Organization: Department of the Interior
Depth to Groundwater Measured from Wells in the Greater Houston Area, Texas, 2023

This dataset documents depth to groundwater measurements made from wells screened in the Chicot aquifer, Evangeline aquifer, Jasper aquifer, Burkeville confining unit, Catahoula confining unit, or a combination of these hydrogeologic units in the greater Houston area, Texas for 2023. The U.S. Geological Survey (USGS) prepared this dataset in cooperation with the Harris‐Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District. This dataset was created to provide resource managers, public officials, researchers, and the general public with ready access to information regarding depths to groundwater in the region. All of the data in this dataset were collected from December 2022 through March 2023 and with the exception of the furnished data and the calculated median values provided only herein, are stored in the USGS National Water Information System (NWIS), a publicly available, searchable, online database of water information (USGS, 2023).

Tags: aquifer, brazoria-county, burkeville-confining-unit, catahoula-confining-unit, chambers-county, chicot-aquifer, elevation, evangeline-aquifer, fort-bend-county, galveston, galveston-county, grimes-county, groundwater, harris-county, houston, hydrology, hypsometry, jasper-aquifer, liberty-county, montgomery-county, san-jacinto-county, subsidence, texas, usgs-64650dded34ec179a83dbad6, walker-county, waller-county, water-level-altitude
Organization: Department of the Interior
Hydroacoustic data from uncrewed surface vehicle (USV) overtakes in Lakes Huron and Michigan, 2021

These data were derived from hydroacoustic data collected by uncrewed surface vehicles (USVs) and powered research vessels. The powered vessels overtook the USVs in Lakes Huron and Michigan to study fish avoidance of survey vessels during traditional acoustic surveys. The water column was divided into three depth groups (epilimnion, metalimnion, hypolimnion) for analysis. Each drone transect was binned into 30-sec intervals and measured hydroacoustic values were averaged in this region. To compare vessels and drones, parallel overtakes (overtakes where vessel and drone followed the same path) which were ~2 km long, were measured by both platforms and the differences between acoustic measures compared.

Tags: acoustics, biota, fishery-management, great-lakes, lake-huron, lake-michigan, multibeam-sonar, transect-sampling, usgs-6465060cd34ec179a83dbab0
Organization: Department of the Interior
Entry and spread of specialist and generalist infectious hematopoietic necrosis virus (IHNV) genotypes in Chinook salmon, steelhead and sockeye salmon

Infectious hematopoietic necrosis virus (IHNV) represents one of the most critical challenges for salmonids in the Pacific Northwest. There are three genogroups of IHNV, designated U, M, and L; the U is further delineated into two subgroups, UC and UP, and the M is further delineated into four subgroups (MA – MD).  The UP, UC and MD subgroups co-occur in the Columbia River Basin where the host species sockeye salmon, Chinook salmon, and steelhead trout spawn and rear. Field prevalence data shows that UC viruses exhibit a generalist strategy in Chinook, and steelhead, while two other virus lineages, MD and UP, are more consistent with being specialists in steelhead or sockeye salmon, respectively.  The L is found in Northern California and is considered a specialist of Chinook salmon. This study sought to understand early entry and replication of the specialist and generalist IHNV strains in three salmonid hosts. Chinook, steelhead and sockeye were exposed by immersion to their specialist viruses (L, MD and UP, respectively) and to the generalist UC virus. As controls, these hosts were also exposed to buffer (mock control) and IHNV variants that were not specialist for their species (non-specialists). Mortality was monitored throughout the experiments. Fish were sampled at early timepoints post-infection (2, 5, and 8 days post-exposure).  Kidney and fin tissues were taken to represent external and internal tissues, respectively. Viral load was assessed by reverse transcriptase quantitative PCR (RT-qPCR) targeting the nucleocapsid (N) gene of IHNV. Additional fish from each experimental group were sampled for histopathology but only a subset were processed and analyzed.

Tags: biota, fish, health-and-disease, migratory-species, usgs-6464e984d34ec179a83daa39
Organization: Department of the Interior
Cyanobacteria, Cyanotoxin, Cyanotoxin Synthetase Gene, and other Water-Quality Data Collected from Five River Basins in the North Atlantic Appalachian Region, August through September, 2020

This data release contains cyanotoxin, chlorophyll-a, and pheophytin-a concentration, cyanobacterial genetics, phytoplankton community composition, and multiparameter sonde data collected from 20 sites in five northeastern United States river basins (Penobscot (ME), Santuit (MA), York (VA-WV), Salem (NJ), and Peconic (NY)).  Solid Phase Adsorption Toxin Tracking (SPATT) passive samplers were deployed at all sites between August 31 and September 2, 2020, and retrieved after 7 days. Discrete water samples were collected when SPATTs were deployed, and at 2 sites (USGS station IDs 01670257, 0167014792), samples were also collected when the SPATTs were recovered. Sonde data were collected when deploying and retrieving the SPATTs. The SPATT samples were extracted and analyzed for cyanotoxins (anatoxin-a, cylindrospermopsin, microcystin, saxitoxin) by enzyme-linked immunosorbent assay (ELISA) and liquid chromatography tandem mass spectrometry (LC/MS/MS). Sonde data included measurements of water temperature, pH, specific conductance, dissolved oxygen, turbidity, chlorophyll, phycocyanin, and phycoerythrin fluorescence (in relative fluorescence units and micrograms per liter), and nitrate, however some sensors were not available at all locations. Discrete samples were analyzed for total cyanotoxin concentration (anatoxin-a, cylindrospermopsin, microcystin, saxitoxin) by ELISA and LC/MS/MS, chlorophyll-a, pheophytin-a, cyanotoxin synthetase genes, and phytoplankton community composition. Saxitoxin could not being analyzed by LC/MS/MS so an additional ELISA analysis was performed instead.

Tags: anac-gene, anatoxin-a, biota, chlorophyll-a, cyanobacteria, cyanotoxin-genetics, cyanotoxins, cylindrospermopsin, cyra-gene, dolby-pond, environment, enzyme-linked-immunosorbent-assay-elisa, hab, harmful-algal-bloom, inlandwaters, lake-anna, maine, massachusetts, mattaponi-river, mcye-gene, microcystin, new-jersey, new-york, north-anna-river, pamunkey-river, peconic-river, peconic-river-basin, penobscot-river, penobscot-river-basin, pheophytin-a, phytoplankton-community-composition, quantitative-polymerase-chain-reaction-qpcr, salem-river, salem-river-basin, santuit-pond, santuit-river, santuit-river-basin, saxitoxin, shinnecock-canal, solid-phase-adsorption-toxin-tracking, spatt, sxta-gene, usgs-6464e4d3d34ec179a83da4aa, virginia, water-quality, york-river, york-river-basin
Organization: Department of the Interior
Groundwater-withdrawal and well-construction data in the Upper Colorado River Basin from Arizona, Colorado, New Mexico, Utah, and Wyoming state databases, 1980–2022

The U.S. Geological Survey developed a coupled groundwater and surface-water flow (GSFLOW) model to represent the aquifers of the Colorado Plateau and Upper Colorado River Basin. The study area covers approximately 142,000 square miles and includes parts of Arizona, Colorado, New Mexico, Utah, and Wyoming. To support this modeling effort, groundwater well withdrawal volume data were needed from January 01, 1980 to September 30, 2022. These data were retrieved from online state databases. In addition to withdrawal-volume data, well-construction data including depths and/or perforated casing intervals were recorded when available from the databases and/or scanned driller’s logs. Arizona groundwater-withdrawal volume and well-construction data were downloaded from the Arizona Department of Water Resources. Colorado groundwater-withdrawal volume and well-construction data were accessed via the Colorado Department of Natural Resources Decision Support Systems. New Mexico groundwater-withdrawal volume and well-construction data were downloaded from the New Mexico Office of the State Engineer’s New Mexico Water Rights Reporting System (NMWRRS). Utah groundwater-withdrawal volume and well-construction data were accessed via the Utah Division of Water Rights Water Use Data Portal and Utah's State Geographic Information Database (SGID). Wyoming groundwater-withdrawal volume and well-construction data were retrieved from the Wyoming Water Development Office Public Water System Surveys and Wyoming State’s Engineer Office.  Because of the different state databases, each state has slightly different information (see Supplemental Information).

Tags: apache-county, archuleta-county, arizona, carbon-county, catron-county, cibola-county, coconino-county, colorado, colorado-plateaus-aquifers, daggett-county, delta-county, dolores-county, duchesne-county, eagle-county, emery-county, garfield-county, grand-county, groundwater, groundwater-surface-water-flow-model, gunnison-county, hinsdale-county, hydrology, kane-county, la-plata-county, lincoln-county, mckinley-county, mesa-county, mineral-county, moffat-county, montezuma-county, montrose-county, navajo-county, new-mexico, ouray-county, pitkin-county, rio-arriba-county, rio-blanco-county, routt-county, saguache-county, san-juan-county, san-miguel-county, sandoval-county, sanpete-county, sevier-county, spring, sublette-county, summit-county, sweetwater-county, uinta-county, uintah-county, usgs-6464de77d34ec179a83d9e71, utah, utah-county, wasatch-county, wayne-county, well, wyoming
Organization: Department of the Interior
Critical mineral deposits of the United States (ver. 2.0, April 2024)

This product includes GIS and data tables for 684 deposits in the United States and Puerto Rico that have past or present production or resources for critical minerals. Deposits are classified by mineral system and deposit types using the Earth Mineral Resources Initiative (EMRI) framework of Hofstra and Kreiner (2020) and the focus areas defined by Dicken and others (2022).

Tags: critical-minerals, geoscientificinformation, mineral-deposits, mineral-resources, puerto-rico, united-states, usgs-6464de5bd34ec179a83d9e6c
Organization: Department of the Interior
Computed tomography (CT) scans of push cores from Loki's Castle and Favne vent fields, Mohns Ridge

This portion of the data release presents computed tomography (CT) images from push cores collected from Loki's Castle and Favne vent fields, on the Mohns Ridge, in the Norwegian Sea. These data were collected in 2018 and 2019 (USGS Field Activity 2018-691-DD and 2019-624-FA). A Geotek Rotating X-Ray CT (RXCT) system was used to acquire x-ray images and perform CT reconstructions of unsplit core segments. The full three-dimensional data set consists of individual axial slices which are reconstructed images in TIFF format. These axial slices are oriented perpendicular to the long axis of the core. Two-dimensional orthogonal views are also provided that illustrate representative downcore slabs of each core. Geotek software-proprietary XML files are provided in each folder containing axial slices and orthogonal views, containing more image-scaling and information on x-ray system settings and reconstruction parameters.

Tags: cmhrp, coastal-and-marine-hazards-and-resources-program, core-analysis, favne-vent-field, geoscientificinformation, greenland-sea, lokis-castle-vent-field, marine-geology, mineral-resources, nonliving-resources, norwegian-sea, oceans, pacific-coastal-and-marine-science-center, pcmsc, push-coring, u-s-geological-survey, usgs, usgs-64640adbd34ec179a83d30e6
Organization: Department of the Interior
Stable isotope data for sulfur, oxygen, and hydrogen in minerals and gases and electron microprobe data for minerals from Sulphur Bank mercury mine, Lake County, California

Stable isotope compositions (the ratios deuterium/hydrogen, oxygen-18/oxygen-16, and sulfur-34/sulfur-32) are reported for alunite, jarosite, kaolinite, silica, cinnabar, marcasite, and native sulfur from outcrops in and around the workings of the Sulphur Bank mercury mine, Lake County, California, and chemical compositions are reported, from electron microprobe analyses, for alunite and buddingtonite. Isotope analyses are given also for hydrogen sulfide gas from active fumaroles and for soluble sulfate in samples of mine waste. The waste results reflect fine grained material (particles less than 0.063 millimeter in diameter) that were taken from composites, each composite representing a particular waste pile that was active during a particular period of mining.

Tags: biota, california, clear-lake, geology-geophysics-and-geochemistry-science-center, gggsc, lake-county, mineral-resource-program, mineral-resources, mrp, u-s-geologic-survey, usgs, usgs-64640050d34ec179a83d30d0
Organization: Department of the Interior
Data release for fault activity in the San Gabriel Mountains, USA: insights from landscape morphometrics, erosion rates, and fault-slip rates (ver. 2.0, November 2023)

This report summarizes geomorphic data and analysis from the range front of the San Gabriel Mountains, California, USA. For catchment-average erosion rates, we describe the methodology used to collect samples of detrital sediment, determine concentrations of cosmogenic beryllium-10 in purified quartz isolated from the samples, and use those nuclide concentrations to calculate erosion rates. We also describe the methodology for calculating various topographic metrics from previously published lidar topographic data. These metrics include stream channel concavity, normalized channel steepness index, dimensionless hilltop erosion and dimensionless hilltop relief.

Tags: earthquakes, erosion, faulting-geologic, geoscientificinformation, hazards, topography, usgs-6463fe9ed34ec179a83d30c9
Organization: Department of the Interior
Data from water column and sediment incubations from streams of Duck Creek and Fox River watersheds in Wisconsin, as well as the Fox rivermouth, the Saginaw rivermouth (Lake Huron, MI) and the Maumee rivermouth (Lake Erie, OH)

Nutrient reduction on the landscape scale often focuses on actions that reduce the movement of nitrogen (N) and phosphorus (P) from agricultural lands into streams and rivers.  However, processing of N and P in streams and rivers can be substantial and increasing these in-stream processing rates could result in reductions or transformations of nutrients to less labile or less mobile forms.  We hypothesize that buffer conditions could influence the microbial community and sediment characteristics of streams and rivers and thereby influence in-stream N and P processing rates.  As a result, we predict that variation in buffer land cover (from agricultural to wetlands to forest) causes differences in processing rates.  To test this prediction, we measured inorganic nutrient transformation in the water column and sediment flux of inorganic N and P in streams draining predominantly agricultural landscapes in the Fox River and Duck Creek watersheds (WI, USA) repeatedly during the 2018 growing season.

Tags: biota, fox-river, lake-michigan, nitrogen, nutrient-dynamics, nutrients, phosphorus, riparian-buffer, usgs-6463f5c2d34ec179a83d30a6, water-column
Organization: Department of the Interior
Chesapeake Bay River Input Monitoring Network 1985-2022: Monthly loads

Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in major rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay River Input Monitoring (RIM) Network stations for the period 1985 through 2022. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). The load results represent the total mass of nitrogen, phosphorus, and suspended sediment that was exported from each of the RIM watersheds.

Tags: chesapeake-bay-watershed, delaware, kalman-filtering, load-analysis, maryland, new-york, nitrogen, nutrients, pennsylvania, phosphorus, rivers, suspended-sediment, trends, united-states, usgs-6470dc18d34e4e58932d25e7, virginia, washington-dc, water-quality, weighted-regression, west-virginia, wrtds, wrtds-kalman
Organization: Department of the Interior
Stem and needle growth for whitebark pine in the Sierra Nevada

These data represent stem growth, needle length growth, and carbon stable isotope ratios from whitebark pine at 27 sites in the Sierra Nevada of California. Values for stem growth were derived from increment cores, processed following standard methods. Needle characteristics were captured for individual trees across all years needles were present on the internodes. Needle length was measured in the lab for three healthy needles per tree and initiation year. For stable carbon isotopes, samples were pulverized in the lab and then were sent to the Analytical Laboratory at the University of California, Davis (UC Davis) for weighing and encapsulation. Carbon and nitrogen isotopic values were estimated by the Stable Isotope Facility at UC Davis.

Tags: biota, california, carbon-isotope-analysis, core-analysis, ecology, environment, sierra-nevada, time-series-datasets, usgs-6463dfd2d34ec179a83d305b
Organization: Department of the Interior
Database of Riparian Floodplain Boundaries for the San Carlos and Gila Rivers -- 2019 Riparian Floodplain for the San Carlos River and Gila River within the Upper Gila River Level-4 Hydrologic Unit Code Watershed

This is a Child Item for the Parent data release, Mapping Riparian Vegetation Response to Climate Change on the San Carlos Apache Reservation and Upper Gila River Watershed to Inform Restoration Priorities: 1935 to Present - Database of Riparian Floodplain Boundaries for the San Carlos and Gila Rivers. This Child Item is the spatial data layer showing the 2019 riparian floodplain for the Gila River and San Carlos River within the full Upper Gila River Level-4 Hydrologic Unit Code (HUC) watershed. This product was developed by digitizing the active channel and primary riparian floodplain using National Agriculture Imagery Program (NAIP) aerial imagery from 2019 and 2020 (U.S. Department of Agriculture, 2021).
This data was used in the development of the following data release: Petrakis, R.E., Norman, L.M., Middleton, B.R., 2023, Mapping Riparian Vegetation Response to Climate Change on the San Carlos Apache Reservation and Upper Gila River Watershed to Inform Restoration Priorities: 1935 to Present - Database of Trends in Vegetation Properties and Climate Adaptation Variables: U.S. Geological Survey data release, https://doi.org/10.5066/P9HL0N5T. 
And in support of the following publication: Petrakis, R.E., Norman, L.M., Middleton, B.R., 2023. Riparian Vegetation Response amid Variable Climate Conditions across the Upper Gila River Watershed: Informing Tribal Restoration Priorities. Frontiers in Environmental Science. https://doi.org/10.3389/fenvs.2023.1179328.

Tags: boundaries, climate-change, drought, floodplain, gila-river, historic-analysis, riparian-vegetation, southwest, united-states, usgs-6463bfefd34ec179a83d2deb, vegetation, wetland-ecosystem
Organization: Department of the Interior
Database of Riparian Floodplain Boundaries for the San Carlos and Gila Rivers -- 2019 Riparian Floodplain and Active Channel Boundaries for the San Carlos River and Gila River

This is a Child Item for the Parent data release, Mapping Riparian Vegetation Response to Climate Change on the San Carlos Apache Reservation and Upper Gila River Watershed to Inform Restoration Priorities: 1935 to Present - Database of Riparian Floodplain Boundaries for the San Carlos and Gila Rivers. This Child Item is the shapefile showing the 2019 riparian floodplain and active flow channel for the Gila River and San Carlos River within the San Carlos Apache Reservation. This product was developed by digitizing the active channel and primary riparian floodplain using National Agriculture Imagery Program (NAIP) aerial imagery from 2019 (U.S. Department of Agriculture, 2021).
This data was used in the development of the following data release: Petrakis, R.E., Norman, L.M., Middleton, B.R., 2023, Mapping Riparian Vegetation Response to Climate Change on the San Carlos Apache Reservation and Upper Gila River Watershed to Inform Restoration Priorities: 1935 to Present - Database of Trends in Vegetation Properties and Climate Adaptation Variables: U.S. Geological Survey data release, https://doi.org/10.5066/P9HL0N5T. 
And in support of the following publication: Petrakis, R.E., Norman, L.M., Middleton, B.R., 2023. Riparian Vegetation Response amid Variable Climate Conditions across the Upper Gila River Watershed: Informing Tribal Restoration Priorities. Frontiers in Environmental Science. https://doi.org/10.3389/fenvs.2023.1179328.

Tags: boundaries, climate-change, drought, floodplain, gila-river, historic-analysis, riparian-vegetation, southwest, united-states, usgs-6463bf69d34ec179a83d2d2b, vegetation, wetland-ecosystem
Organization: Department of the Interior