AndreaBozzo/ceres-open-data-index huggingface dataset:
Updated CONUS river network attributes based on the E2NHDPlusV2 and NWMv2.1 networks (ver. 2.0, February 2023)

The comid field of these data can be used to join to the National Hydrography Dataset Plus V2.1 (NHDPlusV2) flowline comid or catchment featureid attributes. The included attributes follow the same data model as the NHDPlusV2 but include numerous updates and improvements to network connectivity. All attributes that depend on network connectivity have been recalculated.
These attributes are based on the NHDPlusV2 network geometry and modifications retrieved from the National Water Model V2.1 (NWMv2.1) and "E2NHDPlusV2_us: Database of Ancillary Hydrologic Attributes and Modified Routing for NHDPlus Version 2.1 Flowlines" (E2NHDPlusV2) datasets. The attributes included are: comid, tocomid, fcode, nameID, lengthkm, reachcode, frommeas, tomeas, arbolate_sum, terminalpa ,hydroseq, levelpathi, pathlength, dnhydroseq, areasqkm, totdasqkm, terminalfl, dnlevelpat. These attributes are available in three formats: csv, fst, and parquet. "fst" is a high-performance format for use with the R programming language "fst" package. "parquet" is a high-performance format for use with multiple programming languages (including python) that support the Apache Arrow Parquet format.

Tags: hydrography, hydrology, inlandwaters, network, usgs-63cb311ed34e06fef14f40a3
Organization: Department of the Interior
Inverse Model Data for: Salinity trends in a groundwater system supplemented by 50 years of imported Colorado River water

Data provided here describe the contribution of up to 7 different water sources to the major ion geochemistry of U.S. Geological Survey (USGS) and California State Water Resources Control Board Division of Drinking Water (CA-DDW) groundwater samples within the Indio Subbasin of the Coachella Valley, California. The Inverse Geochemical Modeling was performed in the USGS's PHREEQC ver. 3 program and the results are discussed in the associated publication of Harkness and others (2023). Datasets include the major ion chemistry and model input parameters of 1593 samples included in the analysis, the median model results for each sample, and a data dictionary describing the tables. Analyses completed as part of this assessment relied on the previously published data of Harkness (2022) and no new data were collected.

Tags: california, coachella-valley, data-release, geochemical-processes, groundwater, groundwater-quality, hydrogeology, indio, indio-subbasin, inverse-modeling, la-quinta, mathematical-simulation, palm-desert, palm-springs, riverside, usgs-63caf1fad34e06fef14f3f97, water-chemistry
Organization: Department of the Interior
Observations of survival and hatch of developing pallid sturgeon embryos in relation to experimental substrate and sediment cover

This dataset documents the number of normally developed hatched free embryos, abnormally developed hatched free embryos, and viable unhatched embryos from two laboratory trials (shovelnose sturgeon during April and pallid sturgeon during May 2016) in substrate conditions designed to simulate potential fates within a dynamic riverine environment.  Trials were performed with substrate treatments that consisted of clean glass (control), gravel, medium-coarse sand, and fine sand-silt.  Medium-coarse sand and fine sand-silt substrates were each tested three ways: unburied, partially buried, and fully buried (1–2 millimeter depth).  Pallid sturgeon and shovelnose sturgeon embryos were exposed to trial conditions from the day of fertilization until day 10 of incubation.

Tags: biota, developmental-biology, early-life-stage, embryo, endangered-species, fish-larvae, fishery-resources, fishes, free-embryo, hatching, missouri-river, pallid-sturgeon, sediments, shovelnose-sturgeon, substrate, usgs-63cae5d9d34e06fef14f3f3f, yellowstone-river
Organization: Department of the Interior
Sap flux and biophysical measurements of select trees at Panola Mountain Research Watershed, Georgia, 2019

This data release contains a zipped folder with two comma delimited data files and two companion metadata files. The data files are: 1.) sap_flux_data.csv and; 2.) biophysical_characteristics_of_instrumented_trees.csv
The sap flux data were stored in data loggers every 10-minutes for 15 riparian trees. Sap flux was estimated using heat-pulse velocity sensors at three depths into the xylem of each tree. Sap flux estimates in the data release are 30-minute rolling medians which reduces data spikes that are common in high-frequency sap-flux data. The biophysical measurements are properties of the instrumented trees that allow scaling of sap flux to sap flow and total-tree water-use.

Tags: biota, forests, georgia, panola-mountain-research-watershed, sap-flux, southeastern-u-s, transpiration, usgs-63cae24ad34e06fef14f3f2c
Organization: Department of the Interior
World Ecological Land Units (ELUs) 2015

In response to the need and an intergovernmental commission for a high resolution and data-derived global ecosystem map, land surface elements of global ecological pattern were characterized in an ecophysiographic stratification of the planet. The stratification produced 3,923 terrestrial ecological land units (ELUs) at a base resolution of 250 meters. The ELUs were derived from data on land surface features in a three step approach. The first step involved acquiring or developing four global raster datalayers representing the primary components of ecosystem structure: bioclimate, landform, lithology, and land cover. These datasets generally represent the most accurate, current, globally comprehensive, and finest spatial and thematic resolution data available for each of the four inputs. The second step involved a spatial combination of the four inputs into a single, new integrated raster dataset where every cell represents a combination of values from the bioclimate, landforms, lithology, and land cover datalayers. This foundational global raster datalayer, called ecological facets (EFs), contains 47,650 unique combinations of the four inputs. The third step involved an aggregation of the EFs into the 3,923 ELUs.

Tags: bioclimates, ecosystems, global, land-cover, landforms, lithology, usgs-63c9d475d34e06fef14f3b22
Organization: Department of the Interior
Detection data of acoustic telemetry tags from Walleye and Grass Carp in the Sandusky River and Bay, OH (2014-2021)

This data set includes acoustic telemetry detection data and biological attributes for walleye and grass carp in the Sandusky River and Bay, OH.   The detection data also includes information about the receivers that recorded the detection of acoustic telemetry tags implanted in walleye and grass carp from from 2014 to 2021.  Receiver attributes include location and deployment history of each receiver.  Detections indicate where and when an individual fish implanted with a unique acoustic telemetry tag was recorded by a receiver.  The attributes for each individual fish implanted with a tag and detected by a receiver include biological characteristics, tag details, and post-tagging release location.

Tags: biota, fisheries, grass-carp, great-lakes, invasive-species, lake-erie, migration-organisms, telemetry, usgs-63c8165bd34e06fef14f3255, walleye
Organization: Department of the Interior
Volatile organic compound, polychlorinated biphenyl, and biogeochemical data from passive samplers and laboratory experiments for wetland bioremediation study, Standard Chlorine of Delaware, Inc. Superfund Site, New Castle County, Delaware, 2019–2021

This metadata record contains 15 tables with results from field and laboratory tests used to assess bioremediation in wetland areas at the Standard Chlorine of Delaware, Inc. Superfund site, New Castle County, Delaware, during 2019-2021. Included in the dataset are (1) polychlorinated biphenyl (PCB) concentrations in wetland sediment from sediment microcosm laboratory experiments, (2) chlorobenzene concentrations in wetland sediment from sediment microcosm laboratory experiments, (3) polychlorinated biphenyl concentrations from PCB microcosm laboratory experiments using polyethylene strips, (4) chlorobenzene concentrations from PCB microcosm laboratory experiments using polyethylene strips, (5) total iron and ferrous iron concentrations from compost microcosm laboratory experiments, (6) methane (aqueous phase) concentrations from compost microcosm laboratory experiments, (7) volatile organic compound concentrations from compost microcosm laboratory experiments, (8) methane concentrations from polyethylene passive diffusion bag samplers collected during field sampling in the wetland area, (9) volatile organic compound concentrations from polyethylene passive diffusion bag samplers from field sampling, (10) chlorobenzene concentrations in water from field sampling using low density polyethylene sheet passive samplers, (11) polychlorinated biphenyl concentrations in water from field sampling using low density polyethylene sheet passive samplers in the wetland study area, (12) volatile organic compound concentrations for water samples collected from compost microcosm experiments with and without granular activated carbon, (13) volatile organic compound concentrations in sediment, extracted from methanol aliquots collected from compost microcosm experiments with and without granular activated carbon, (14) total iron concentrations for samples collected from compost microcosm experiments with and without granular activated carbon, and (15) methane (aqueous phase) concentrations for samples collected from compost microcosm experiments with and without granular activated carbon.

Tags: bioavailability, bioremediation, chlorobenzene, compost-microcosm, contamination-and-pollution, delaware, delaware-city, environment, geoscientificinformation, industrial-pollution, iron, methane, microcosm, new-castle, passive-sampling, polychlorinated-biphenyls, remediation, sediment, standard-chlorine-of-delaware-inc-superfund-site, superfund-site, usgs-63c81397d34e06fef14f3244, volatile-organic-compound, wetland-ecosystems
Organization: Department of the Interior
Groundwater elevation data and model in and around the Lost Hills and South Belridge Oil Fields

This data release Child Item contains groundwater elevation data and the associated model/code used to create groundwater elevation surfaces in and around the Lost Hills and Belridge Oil Fields. The data and model provided here are part of an interpretative manuscript by McMahon and others (2023). The data compiled and analyzed here are part of the California State Water Resources Control Board Oil and Gas Regional Monitoring Program and the U.S. Geological Survey California Oil, Gas, and Groundwater (COGG) Program.

Tags: belridge, california, gaussian-processes, groundwater-levels, idle-wells, lost-hills, oil-and-gas, san-joaquin-valley, usgs-63c80242d34e06fef14f31db
Organization: Department of the Interior
PFAS Reconnaissance Landscape Data

This dataset consists of summary data for potential landscape sources of per- and poly-fluoroalkyl substances (PFAS). These summary items include facilities from the Environmental Protection Agency (EPA) PFAS Analytics Tools, which were pulled from its Enforcement and Compliance History Online (ECHO), areas affected by fires (burned and urban burned areas) from Monitoring Trends in Burn Severity (MTBS), and landcover data from National Land Cover Dataset (NLCD) and Coastal Change Analysis Portal (C-CAP) around sites sampled as part of a National PFAS Tapwater Reconnaissance. These data are presented as a comma separated file, which includes summaries for all variables listed within a 5-kilometer buffer around each site, with an additional summary of burn areas within a 50-kilometer buffer. The purpose of this effort is to identify and quantify PFAS in drinking water sources at the point-of-use across the United States (US) and these data will be used to identify potential landscape-scale drivers of PFAS contamination in US tapwater (TW).

Tags: drinking-water-use, facilities, land-surface-characteristics, land-use-and-land-cover, pfas, puerto-rico, tapwater, united-states, usgs-63c6fdcad34e92aad3d120fe, virgin-islands-of-the-united-states
Organization: Department of the Interior
Python code used to download gridMET climate data for public-supply water service areas

This child item describes Python code used to retrieve gridMET climate data for a specific area and time period. Climate data were retrieved for public-supply water service areas, but the climate data collector could be used to retrieve data for other areas of interest. This dataset is part of a larger data release using machine learning to predict public supply water use for 12-digit hydrologic units from 2000-2020. Data retrieved by the climate data collector code were used as input feature variables in the public supply delivery and water use machine learning models.
This page includes the following file:
climate_data_collector.zip - a zip file containing the climate data collector Python code used to retrieve climate data and a README file.

Tags: alabama, arizona, arkansas, california, colorado, connecticut, conterminous-united-states, delaware, district-of-columbia, florida, georgia, idaho, illinois, indiana, iowa, kansas, kentucky, louisiana, maine, maryland, massachusetts, michigan, minnesota, mississippi, missouri, modeling, montana, nebraska, nevada, new-hampshire, new-jersey, new-mexico, new-york, north-carolina, north-dakota, ohio, oklahoma, oregon, pennsylvania, public-supply, rhode-island, south-carolina, south-dakota, tennessee, texas, usgs-63c6f24ad34e92aad3d120c4, utah, vermont, virginia, washington, water-use, west-virginia, wisconsin, wyoming
Organization: Department of the Interior
Python code used to download U.S. Census Bureau data for public-supply water service areas

This child item describes Python code used to query census data from the TigerWeb Representational State Transfer (REST) services and the U.S. Census Bureau Application Programming Interface (API). These data were needed as input feature variables for a machine learning model to predict public supply water use for the conterminous United States. Census data were retrieved for public-supply water service areas, but the census data collector could be used to retrieve data for other areas of interest. This dataset is part of a larger data release using machine learning to predict public supply water use for 12-digit hydrologic units from 2000-2020. Data retrieved by the census data collector code were used as input features in the public supply delivery and water use machine learning models.
This page includes the following file:
census_data_collector.zip - a zip file containing the census data collector Python code used to retrieve data from the U.S. Census Bureau and a README file.

Tags: alabama, arizona, arkansas, california, colorado, connecticut, conterminous-united-states, delaware, district-of-columbia, florida, georgia, idaho, illinois, indiana, iowa, kansas, kentucky, louisiana, maine, maryland, massachusetts, michigan, minnesota, mississippi, missouri, modeling, montana, nebraska, nevada, new-hampshire, new-jersey, new-mexico, new-york, north-carolina, north-dakota, ohio, oklahoma, oregon, pennsylvania, public-supply, rhode-island, south-carolina, south-dakota, tennessee, texas, usgs-63c6f220d34e92aad3d120bd, utah, vermont, virginia, washington, water-use, west-virginia, wisconsin, wyoming
Organization: Department of the Interior
Mineral Commodity Summaries 2023 - CLAYS Data Release

This data release contains the U.S. salient statistics and world production data extracted from the CLAYS data sheet of the USGS Mineral Commodity Summaries 2023.

Tags: ball-clay, bentonite, common-clay, fire-clay, fullers-earth, kaolin, nonmetallic-mineral-resources, usgs-63d1a355d34e06fef1500683
Organization: Department of the Interior
Stable isotope data and terrain variables for isoscape modeling around two submarine canyons in the western Atlantic sampled in 2012-2013

Terrain variables extracted from bathymetry were used in combination with stable isotope datasets to construct geospatially-explicit isoscapes that predicted variation in carbon and nitrogen isotopes across the canyon-slope seascape, providing insights into the distribution and flow of energy resources, relevant to understanding whole community function.

Tags: atlantic-ocean, baltimore-canyon, biota, deep-sea, environment, food-web, isoscapes, norfolk-canyon, oceans, stable-isotope-analysis, submarine-canyon, usgs-63c6b507d34e92aad3d11eb9, virginia
Organization: Department of the Interior
Santa Ana River Native Fish Population and Habitat Data, Santa Ana River, California, 2022

This dataset includes 2022 reach fish data and reach habitat data collected to support development of the upper Santa Ana River Habitat Conservation Plan for the Santa Ana Sucker (Catostomus santaanae) and the Arroyo Chub (Gila orcutti) in the Santa Ana River, California.

Tags: arroyo-chub-gila-orcutti, biota, habitat-use, ichthyology, population-estimate, santa-ana-sucker-catostomus-santaanae, usgs-63c1c9c8d34e92aad3d067f2
Organization: Department of the Interior
Southwestern willow flycatcher (Empidonax traillii extimus) surveys in San Diego County, California, 2022

Data presented are results of surveys in 2022 for Southwestern Willow Flycatcher (Empidonax traillii extimus) in San Diego County, California. Surveys were conducted at the 2016-19 nest monitoring locations (Cleveland National Forest, Rey River Ranch, and Vista Irrigation District) and at Lake Henshaw along the Upper San Luis Rey River. Surveys were conducted along multiple sections of the river where permission to access properties could be obtained. Locations were surveyed using a standardized protocol three to four times between 15 May and 31 July. The number, age (adult or juvenile), sex, banding status (color banded or not, and if so, color combination), and breeding status (paired, undetermined, or transient) of all willow flycatchers was recorded.

Tags: biota, birds, endangered-species, habitats, population-and-community-ecology, riparian-habitats, san-diego, san-luis-rey-river, survey, survival, usgs-63c1bdd6d34e92aad3d067d2
Organization: Department of the Interior
Satellite tracking of sea turtles using Biscayne National Park, 2009-2021

This dataset includes details of loggerhead and green turtles captured and satellite tagged between 2009 and 2021; the turtles presented here have tracking days within Biscayne National Park. A subset of turtles was captured within Biscayne National Park, whereas others were tracked to the study site, and tagged elsewhere. The dataset contains information related to satellite tracking (e.g., tracking period), biology (e.g., sex, species), and animal behavioral mode determined from a switching state-space model (SSM). The SSM had a time step of 24 h (1 point per day), accounted for location error, and estimated movement parameters jointly across individuals to enhance behavioral mode estimation. Each SSM location was categorized into a behavioral mode based on the behavioral state estimation produced by the SSM, either: “area-restricted searching" behavior ("foraging") or “transiting” behavior ("migration").

Tags: biota, biscayne-national-park, caretta-caretta, chelonia-mydas, miami-florida, satellite-telemetry, usgs-63c1a89dd34e92aad3d06780
Organization: Department of the Interior
Morphogroups of biocrusts following seasons of grazing near Boise, Idaho

The data were collected at Morley Nelson, Birds of Prey National Conservation Area (NCA) where known grazing regimes, including the season of grazing, have been in practice for the last 30 years. Surveyed plots were placed to account for intensity of grazing and to avoid confounding disturbances. Data were collected on the morphogroups of biological soil crusts (biocrusts) found within the NCA, and include measurements on soils related to texture, carbon, nitrogen and the abundance of soil aggregating cyanobacteria in the soil.

Tags: biological-soil-crusts, biota, birds-of-prey-national-conservation-area, blm-aim-data, botany, community-ecology, cyanobacteria, ecology, farming, great-basin, idaho, lichens, mosses, national-canservation-lands, rangeland-administration-system, sagebrush-ecosystem, soil-sciences, soil-texture, usgs-63c19762d34e92aad3d066eb, vascular-plants
Organization: Department of the Interior
Data Release: Seed banks of rare Physostegia correllii in Lady Bird Johnson Lake, Austin, Texas

Soil samples were collected from Lady Bird Johnson Lake, Austin, Texas in 2019 to generate seed bank data for the rare plant Physostegia correllii. Seed germination data was produced from the soil samples kept in a greenhouse at the Wetland and Aquatic Research Center in Lafayette, LA.

Tags: austin, biota, blunn-creek, bottomland-hardwood-forest, climate-change, colorado-river, disturbance-fugitive, floodplain, floodplains, lady-bird-johnson-lake, land-use-change, rare-species, seed-bank, shading, texas, united-states, usgs-63c1944ed34e92aad3d066d0, wet-grassland
Organization: Department of the Interior
USGS National and Global Oil and Gas Assessment Project—Barents Sea Area: Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables

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

Tags: assessment-unit, barents-platform-north-reservoirs, barents-platform-south-reservoirs, conventional-assessment-unit, energy-resources, geology, geoscientificinformation, kolguyev-terrace-reservoirs, national-assessment-of-oil-and-gas, natural-gas, natural-gas-resources, noga2000, north-barents-reservoirs, oil, oil-resources, oilgas, petroleum, resource-assessment, russia, south-barents-ludlov-saddle-reservoirs, svalbard, usgs-63c18198d34e92aad3d06662
Organization: Department of the Interior
Sapflow data from two separate but adjoining ecotones on Bannockburn Plantation near Georgetown, South Carolina, USA (2008 and 2009)

These data support a sap flow study, as represented by dual temperature differentials between heated and unheated probes inserted into trees. Data are from two separate field sites, with five tree species recorded every 30 minutes during the time periods of June 29 to August 24, 2008, and March 5 to June 1, 2009. Data were collected from a longleaf pine plantation (Pinus palustris) and a floodplain forest (Pinus taeda, Fraxinus sp., Quercus laurifolia) on Bannockburn Plantation located near Georgetown, South Carolina, USA.

Tags: biota, horry-county, south-carolina, usa, usgs-63c6b695d34e92aad3d11ece
Organization: Department of the Interior