AndreaBozzo/ceres-open-data-index huggingface dataset:
Alpine Vegetation Trends in Glacier National Park, Montana 2019

The focus of this dataset is soil temperature collected on four mountain summits in Glacier National Park, Montana, USA from 2014 through 2019, with data from one older logger included with a date range of 2006 to 2009. Two summit sites were established in 2003 on Dancing Lady and Bison Mountain, east of the continental divide. Two additional summit sites were established in 2004 on Pitamakin and Mt. Seward, also east of the continental divide. These four summit sites comprise a target region set up in accordance with the Global Observation Research Initiative in Alpine Environments (GLORIA). GLORIA was initiated by the University of Vienna in 2000 and protocols for operating target regions  have been refined and revised since then. Sixty-nine GLORIA target regions now exist throughout the world; 16 are in the U.S.A. Current protocols are available at: https://gloria.ac.at/downloads/manual. Along with the plant surveys which took place every five years, temperature loggers were buried 10cm into the substrate on each aspect and on the highest point of each summit and set to record at one hour intervals. Logger locations collected in 2019 recorded near continuous soil temperature readings some since 2014. One logger which was previously thought lost was uncovered during the 2019 site visit and data included here. This will enable on site climate data to be used in analyzing the alpine plant data by looking for snow cover patterns and timing and length of growing season. These loggers were downloaded and replaced every 3-5 years and are currently still on site. A plant survey and temperature data recovery are planned for summer 2024.

Tags: alpine, biota, botany, ccme, ecology, glacier, glacier-national-park, gloria, montana, soil-temperature, usgs-606b39d6d34edc0435c36693, vegetation
Organization: Department of the Interior
Alpine Vegetation Trends in Glacier National Park, Montana 2019

This dataset is focused on alpine plant species presence/absence, species turnover, and trends in species abundance on four mountain summits in Glacier National Park, Montana, USA. This dataset consists of data from 2019, the fourth survey of the project which is on a five year survey schedule. Two summit sites were established in 2003 on Dancing Lady and Bison Mountain, east of the continental divide. Two additional summit sites were established in 2004 on Pitamakin and Mt. Seward, also east of the continental divide. This multi-summit approach to monitoring alpine plant species follows the protocols of the Global Observation Research Initiative in Alpine Environments (GLORIA) that were initiated by the University of Vienna in 2000 and which have been refined and revised since then. GLORIA summit sites now exist throughout the world. Current protocols are available at: https://gloria.ac.at/downloads/manual.  Plant surveys took place every five years during peak alpine plant growing season in late July and August on all aspects of the summits using a combination of area surveys and meter plots. Temperature loggers were buried at 10cm depth on each aspect and replaced every 3-5 years.  In 2019 a total of 145 species were recorded for the four summit sites. This data has not yet been analyzed in comparison to the previous datasets. Additional surveys are planned for the summer of 2024.

Tags: alpine, biota, botany, ccme, ecology, glacier, glacier-national-park, gloria, montana, usgs-606b39f9d34edc0435c36695, vegetation
Organization: Department of the Interior
BCC Historical Prescribed Burn Windows for the Southeast United States 1950-1999

Prescribed burning is a critical tool for managing wildfire risks and meeting ecological objectives, but its safe and effective application requires that specific meteorological criteria are met. This dataset contains results from a study examining the potential impacts of projected climatic change on prescribed burning in the southeastern United States. A set of burn window criteria (suitable weather conditions within which burning may occur based on maximum daily temperature, daily average relative humidity, and daily average wind speed), were applied to projections from an ensemble of Global Climate Models (GCM) under two greenhouse gas emission scenarios, as well as past observations for comparison. Data are provided as decadal output for observed conditions, and for individual GCM results for the historical climate scenario and the two future climate scenarios are provided. In addition, summary statistics (e.g., multi-model mean, and for selected quantiles) are provided for the GCM ensemble as a whole by decade.

Tags: alabama, arkansas, farming, fires, florida, georgia, geoscientificinformation, kentucky, louisiana, managed-fire-regimes, mississippi, missouri, north-carolina, oklahoma, south-carolina, southeast-united-states, statistical-downscaling, tennessee, texas, usgs-606b411bd34edc0435c366a9, virginia, west-virginia, wildfires
Organization: Department of the Interior
Acoustic doppler current profiler (ADCP) data collection of water flow at Benicia Bridge, 2004

This data release contains acoustic Doppler current profiler (ADCP) data used in generating a model of sediment flux through Carquinez Strait, CA at Benicia Bridge. The ADCP outputs binary data files containing measurement scheme, location, time, velocity, backscatter, boat heading, depth, and other parameters. There are two forms of data provided, one collected from two transects along the western side of Benicia Bridge and one collected with two stationary, upward-looking ADCPs deployed on the bed 300 m seaward of Benicia Bridge. These data are provided in ".csv" format for the transect data, and ".dat" format for the upward-facing data, as described in the READMEforCSV.txt and READMEforDAT.txt files associated with this data release.

Tags: acoustic-doppler-current-profiling, benicia, biota, river-discharge, suisun-bay, surface-water, usgs-606b4a61d34edc0435c36817
Organization: Department of the Interior
Benthic community near the Palo Alto Regional Water Quality Control Plant in South San Francisco Bay (ver 3.0, July 2025)

Determining spatial distributions and temporal trends in trace metals in sediments and benthic organisms is common practice for monitoring environmental contamination. These data can be the basis for assessing metal exposure, the potential for adverse biological effects, and the response to regulatory or management actions (Suter, 2001). Another common method of environmental monitoring is to examine the community structure of sediment-dwelling benthic organisms (Simon, 2002). Spatial and temporal changes in community structure reflect the integrated response of resident species to environmental conditions, although the underlying cause(s) for the response may be difficult to identify and quantify. Together, measurements of metal exposure and biological response can provide a more complete view of anthropogenic disturbances and the associated effects on ecosystem health.
Despite the complexities inherent in monitoring natural systems, the adopted approach has been effective in relating changes in near-field contamination to changes in reproductive activity of a clam (Hornberger and others, 2000) and in benthic community structure (Kennish, 1998). This study, with its basis in historical data, provides a rare multi-decadal context within which future environmental changes can be assessed.

Tags: arthropods, benthic-ecosystems, benthos, biota, bryozoans-and-brachiopods, crustaceans, invertebrates, shellfish, usgs-606b596dd34edc0435c36bce
Organization: Department of the Interior
Water chemistry, vertical profiles, phytoplankton and zooplankton counts, and metabolism calculations in the Sacramento River Deep Water Ship Channel 2019

Here we archive data collected during a nitrogen addition field experiment in the Sacramento River Deep Water Ship Channel. Calcium nitrate was added on 8 dates to a segment of the ship channel centered at Navigation Light 74. Prior to and following the nutrient additions, we collected water samples and sensor-based measurements at 7 sites between Navigation Light 70 and 76. Water samples for nutrient analyses were collected in 500 mL High Density Poly Ethylene (HDPE) amber containers from 1 m and 8 m depths using a peristaltic pump. Whole water samples for phytoplankton analysis were collected from 1 m depth in 500 mL clear HDPE containers and immediately preserved with 20 mL of Lugol’s iodine solution (Lugol’s, ENG Scientific, Inc.). We collected a vertically integrated zooplankton sample by lowering a 163 µM net to 8 m (~1 m off the bottom) and raised it using an electric winch. We transferred seston contents into new 250 mL HDPE containers and immediately preserved them with 10 mL of Lugol’s. A 1-mL unfiltered water sample from the surface was collected for bacterioplankton abundance. Vertical profiles of temperature, conductivity, dissolved oxygen, pH, turbidity, and algal fluorescence were made using a YSI EXO2 sonde. Measurements were made at 0.5 m and at 1 m resolution to the bottom. The sensor was allowed to stabilize at each depth for at least 10 seconds prior to data acquisition. In total, we sampled on 27 dates between July 8 and  August 26, 2019. Lastly, we also report data used in metabolism calculations. Data include 3 methods for estimating metabolism based on continuous DO measurements, laboratory incubations, and an isotope model. Ancillary data include light extinction, stratification strength, wind speed, and gas transfer velocity, Metabolism measurements range from July 2 to September 18, 2019.

Tags: carbon, chlorophyll, community-composition, conductivity, environment, estuary, light-extinction, metabolism, nitrogen, nutrients, oxygen-content-water, oxygen-isotopes, phosphorus, phytoplankton, plankton, sacramento-river, sacramento-river-deep-water-ship-channel, sacramentosan-joaquin-delta, temperature, turbidity, usgs-606b5d06d34edc0435c36ce1, water-chemistry, water-isotopes, water-ph, water-quality, water-temperature, west-sacramento, zooplankton
Organization: Department of the Interior
Spring 30 Day Local Inflow Data for Reservoirs on the Souris River, United States and Canada

.\Spring 30 day\
I. .\GrantDevine_Comb.csv: This file contains the total inflow volume to Grant Devine Reservoir for the 30 days with the largest streamflow volume between March and May and the mean of the 3- and 12-month SPEI values for each November 1st. Spring streamflow volume for a given calendar year is paired with SPEI from the previous November 1st value. Column A is an unnamed index number, column B is a year in a stochastic simulation, column C is named “simnum” and is the stochastic simulation number, column D is named “mnspei” and is the mean of the 3- and 12-month SPEI for November 1 of each year in a stochastic simulation, and column E is named “SprintgThirtyTot” and is the total inflow volume for the 30 days with the largest streamflow volume between March and May of the following calendar year.
II. .\LakeDarling_Comb.csv: has the same layout as .\GrantDevine_Comb.csv except that it is for local inflows to Lake Darling.	
III. .\Rafferty_Comb.csv: has the same layout as .\GrantDevine_Comb.csv except that it is for local inflows to Rafferty.

Tags: 10-day, 30-monthly, manitoba, meteorology, north-dakota, saskatchewan, souris-river, stream-discharge, usgs-606b62dbd34edc0435c36e8e
Organization: Department of the Interior
Stochastic Meteorology Datasets used to Characterize Climate and Streamflow conditions in the Souris River, United States and Canada

.\Stochastic Meteorology\
I.    .\genpet.csv: This file contains stochastic monthly PET values for each weather station used to develop stochastic climate data in Kolars and others (2016). Column A is the weather station number, column B is the year in a stochastic simulation, column’s C through N are January through December PET values in millimeters, respectively. Simulations are stacked in order from 1 to 100 for each weather station.
II.   .\genprec.csv: This file contains stochastic monthly precipitation values for each weather station used to develop stochastic climate data in Kolars and others (2016). Column A is the weather station number, column B is the year in a stochastic simulation, column’s C through N are January through December precipitation values in millimeters, respectively. Simulations are stacked in order from 1 to 100 for each weather station.
III.  .\ grid_pet_stoch.csv: This file provides monthly stochastic PET values for each grid point used in the WBM presented in Kolars and others (2016). Column A is an unnamed index, column B, “lat”, is the latitude for a grid point, column C, “lon”, is the longitude for a grid point, column D is the year in a stochastic simulation, and columns E through P are the values of PET for January through December in millimeters, respectively. Simulations are ordered and placed on top of one another.
IV.  .\ grid_prec_stoch.csv: This file provides monthly stochastic precipitation values for each grid point used in the WBM presented in Kolars and others (2016). Column A is an unnamed index, column B, “lat”, is the latitude for a grid point, column C, “lon”, is the longitude for a grid point, column D is the year in a stochastic simulation, and columns E through P are the values of precipitation for January through December in millimeters, respectively. Simulations are ordered and placed on top of one another.
V.   .\PETMM_basinAv_stoch.csv: This file contains the Souris River Basin average PET for each month of the stochastic PET time series. Column A is an unnamed index, column B, “simnum” is the simulation number, column C, “yr”, is the year in a stochastic simulation, and columns D through O are the PET values in millimeters for January through December, respectively.
VI.  .\PrecipMM_basinAv_stoch.csv: This file contains the Souris River Basin average precipitation for each month of the stochastic precipitation time series. Column A is an unnamed index, column B, “simnum” is the simulation number, column C, “yr”, is the year in a stochastic simulation, and columns D through O are the precipitation values in millimeters for January through December, respectively.

Tags: 10-day, 30-monthly, manitoba, meteorology, north-dakota, saskatchewan, souris-river, stream-discharge, usgs-606b6337d34edc0435c36e91
Organization: Department of the Interior
Antioch Dunes evening primrose (Oenothera deltoides subsp. howellii) juvenile and adult abundance across the known range, California, USA (2019)

These datasets provide information on total plant cover, Normalized Difference Vegetation Index, and Antioch Dunes evening primrose (Oenothera deltoides subsp. howellii) abundance within grids across the subspecies' extant range in California.

Tags: antioch-dunes, biota, california, coastal-ecosystems, ecology, endangered-species, invasive-species, remote-sensing, usgs-606b6cced34e3d0429b202aa
Organization: Department of the Interior
Elements in elk tissues harvested in pre-uranium mining and non-mining areas, 2019

These data are comprised of measurements of elements (e.g., uranium, cobalt, nickel, copper, zinc, cadmium, lead, etc.) in elk tissue samples (livers and muscle) collected from tribal hunting grounds (pre-uranium mining site) and an elk farm in Wisconsin (non-mining site) in calendar year 2019.

Tags: arizona, biota, cervid, elk, environment, grand-canyon, metals, mine-sites, mining-and-mineral-extraction, mining-hazards, risk-assessment, tribal-areas, u-s-geological-survey-columbia-environmental-research-center, uranium, usgs-60705169d34ef998701adc1a, wisconsin
Organization: Department of the Interior
Digital elevation model (DEM) of central San Francisco Bay, California, created using bathymetry data collected between 2009 and 2020 (MLLW)

A 1-m resolution, continuous surface, bathymetric digital elevation model (DEM) of the central portion of San Francisco Bay, was constructed from bathymetric surveys collected from 2005 to 2020.
In 2014 and 2015 the California Ocean Protection Council (OPC) contracted the collection of bathymetric surveys of large portions of San Francisco Bay. A total of 93 surveys were collected using a combination of multibeam and interferometric side-scan sonar systems. Of those 93 surveys, 75 consist of swaths of data ranging from 18- to just over 100-meters wide. These swaths were separated by data gaps ranging from 10- to just over 300-meters wide. The no-data areas required interpolation to create a continuous surface. The OPC surveys were combined with additional datasets collected by the United States Geological Survey (USGS), National Oceanic and Atmospheric Administration (NOAA), NOAA’s National Ocean Service (NOS), and the United States Army Corps of Engineers (USACE) to create a continuous, high-resolution digital elevation model (DEM).
The creation of this DEM refines techniques developed by the USGS to create DEMs from historic bathymetric data, and allow for the creation of a modern-day bathymetric surface that can be compared to earlier surveys to delineate regions of sediment erosion and deposition.

Tags: bathymetry, bathymetry-and-elevation, digital-elevation-model-dem-1-meter, digital-elevation-models, elevation, geographic-information-systems, geographic-information-systems-gis, geospatial-datasets, global-positioning-system-gps-observations, golden-gate, gps-measurement, inlandwaters, multibeam-echo-sounder, multibeam-sonar, pacific-ocean, san-francisco-bay, single-beam-echo-sounder, topographic-mapping, topography, usgs-606b73efd34e3d0429b204d3
Organization: Department of the Interior
Pre-mining environmental baseline characterization of the Hajigak iron deposit: 2019 field season

These data include geochemical analyses of rock, mine waste, sediment, soil, and water samples collected from the Hajigak iron deposit, Bamyan and Wardak Provinces, Afghanistan in 2019.

Tags: geochemistry, usgs-606cc294d34e670a7d5cff56
Organization: Department of the Interior
Community metrics from inter-agency compilation of inland fish sampling data within the Chesapeake Bay Watershed

This data release contains calculated metrics which summarize various biodiversity and functional/life history trait information about fish communities sampled across the Chesapeake Bay Watershed as well as ancillary data related to time/place of sampling and sampling methodology. The fish sampling data used to compute these metrics were compiled from various fish sampling programs conducted by state and federal agencies, county governments, universities, and river basin commissions across the watershed. Prior to computation of community metrics data from individual fish sampling programs were investigated for completeness and data entry errors. Subsequently, desired fields were extracted from each individual dataset and manipulated into a common form and compiled, including standardization of species names and conversion of coordinates, to similar datum. Following compilation of the disparate datasets, fish species were linked to species-specific trait information including native status, tolerance, habitat preferences, and life history using a combination of the US EPA National Rivers and Streams Assessment (NRSA; USEPA, 2020), the FishTraits database (Frimpong and Angermeier, 2008), and the USGS Nonindigenous Aquatic Species database (NAS; USGS, 2020). Using trait designations from these sources a number of different summary metrics were calculated including those used by the EPA NRSA program and the National Fish Habitat Partnership (NFHP) 2015 Fish Habitat Assessment (Crawford et al., 2016).

Tags: aquatic-biology, community-ecology, district-of-columbia-national-district, ecology, fish, freshwater-ecosystems, ichthyology, maryland-state, new-york-state, pennsylvania-state, usgs-606cdef4d34e670a7d5cfff1, virginia-state, west-virginia-state
Organization: Department of the Interior
Louisiana's Coastwide Reference Monitoring System (CRMS) elevation data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum. Each site has a suite of vegetation, elevation, and hydrological stations that have a known elevation from surveys tied to nearby primary and secondary elevation monuments. This dataset includes elevations for rod surface elevation table (RSET) stations, vegetation stations, and associated secondary monuments from 2014-2020.

Tags: elevation, usgs-606dde87d34eae125e9c75a8, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Regeneration trends along climate gradients in Taxodium distichum forest of the southeastern United States, 2007-2019

Data provided are the volumes of cypress cones, collected in the North American Baldcypress Swamp Network along the Mississippi River Alluvial Valley (southern Illinois to southern Louisiana, and Gulf of Mexico, east Texas to west Florida Panhandle, 2007 - 2019.

Tags: arkansas, biota, droughts, effects-of-climate-change, florida, forest-ecosystems, hydrologic-alteration, hydrology, illinois, land-use-change, louisiana, mississippi, regeneration, seed, tennessee, texas, united-states, usgs-606de347d34eae125e9c75ce, water-over-usage
Organization: Department of the Interior
Denver Coal Basin boundary from 1999 National Coal Resource Assessment

This ArcView shapefile contains a polygon representing
the extent of the Denver coal basin boundary. This
theme was created specifically for the National Coal
Resources Assessment in the Northern Rocky
Mountains and Great Plains Region.

Tags: adams-county, arapahoe-county, boulder-county, coal, colorado, denver-coal-basin, denver-county, douglas-county, economy, el-paso-county, elbert-county, environment, geology, geoscientificinformation, jefferson-county, morgan-county, nca2000, northern-rocky-mountain-and-great-plains-coal-resources-assessment, nrockiescoal, usgs-60a80548d34ea221ce4e5516, weld-county
Organization: Department of the Interior
Structure contours on top of the Trout Creek Sandstone, Danforth Hills, Colorado (danstrcg)

This is a shapefile and ARC/INFO coverage depicting
structure contours on top of the Trout Creek Sandstone
Mbr., Danforth Hills coal field.

Tags: coal, coal-fields, coal-rank, colorado, colorado-plateau, colorado-plateau-coal-assessment, cplateaucoal, danforth-hills, dhillscoal, economy, environment, geoscientificinformation, mesaverde-formation, national-coal-resource-assessment-ncra, nca2000, piceance-basin, trout-creek-sandstone-mbr, usgs-60a8047ed34ea221ce4e54c9, williams-fork-formation
Organization: Department of the Interior