AndreaBozzo/ceres-open-data-index huggingface dataset:
Behavior of Pacific Walruses (Odobenus rosmarus divergens) Hauled Out on Sea Ice During UAS Overflights, Eastern Chukchi Sea, 2015

This dataset is comprised of three tables showing the reaction of walruses hauled out on sea ice of the Chukchi Sea to overflights by rotary wing Unoccupied Aircraft Systems (UAS). Data include behavior of walruses before, during, and after overflights, and environmental conditions during flights.

Tags: aerial-photography, aerial-surveys, alaska, animal-behavior, animals-vertebrates, biota, carnivores, chukchi-sea, drone, environment, mammals, marine-ecosystems, marine-mammals, odobenus-rosmarus-divergens, pacific-walrus, seals-sea-lions-walruses, unoccupied-aircraft-system, usgs-asc427, videography, wildlife
Organization: Department of the Interior
Passive Environmental Sampler Locations

We placed 23 USGS Passive Environmental Samplers (PES) in a grid that spanned the outbreak and monitored for airborne frass containing Ceratocystis lukuohia and C. huliohia.These data include the latitude and longitude of PES locations.

Tags: environment, hawaii, hawaii-island, ohia-lehua, passive-environmental-samplers, rapid-ohia-death, rod, usgs-5f3f5e6482ce8df5b6c95d0d
Organization: Department of the Interior
Point Sampling Data from Eelgrass (Zostera marina), Seaweeds and Selected Invertebrates at Six Embayments and Two Islands at the End of the Alaska Peninsula

This dataset is from surveys for the abundance and distribution of eelgrass and seaweeds that were made at six embayments and two offshore islands at the southwestern end of the Alaska Peninsula in August-September 2012. The five tables provide information on percent cover and location of eelgrass and seaweeds, presence and absence of selected invertebrates, locations of eelgrass genetic samples, and environmental conditions within surveyed sites.

Tags: alaska, alaska-peninsula, angiosperms-flowering-plants, animal-and-plant-census, animals-invertebrates, big-lagoon, biological-productivity, biota, coastal-ecosystems, eelgrass, environment, estuarine-ecosystems, field-inventory-and-monitoring, hook-lagoon, hotsprings-bay, izembek-national-wildlife-refuge, lenard-harbor, littlejohn-lagoon, macroalgae-seaweeds, marine-ecosystems, marine-environment-monitoring, middle-lagoon, monocots, peterson-bay, relative-abundance-analysis, sanak-island, seagrass, seagrass-beds, usgs-asc428, zostera-marina
Organization: Department of the Interior
Digital database of the previously published geologic map of the Boulder-Fort Collins-Greeley area, Colorado

This digital map shows the geographic extent of rock stratigraphic
units (formations) as compiled by Colton in 1976 under the Front
Range Urban Corridor Geology Program.  Colton used his own geologic
mapping and previously published geologic maps to compile one map
having a single classification of geologic units.  The resulting
published color paper map (USGS Map I-855-G, Colton, 1978) was
intended for land-use planning and to depict the regional geology.
In 1997-1999, another USGS project designed to address urban growth
issues was undertaken. This project, the USGS Front Range
Infrastructure Resources Project, undertook to digitize Colton's
map at 1:100,000 scale, making it useable in Geographical
Information Systems (GIS). That product is described here.
In general, the digitized map depicts in its western part
Precambrian igneous and metamorphic rocks, Pennsylvanian and
younger sedimentary rock units, major faults, and brecciated zones
along an eastern strip (5-20 km wide) of the Front Range.  The
central and eastern parts of the map (Colorado Piedmont) show a
mantle of Quaternary unconsolidated deposits and interspersed
outcrops of sedimentary rock of Cretaceous or Tertiary age. A
surficial mantle of unconsolidated deposits of Quaternary age is
differentiated and depicted as eolium (wind-blown sand and silt),
alluvium (river gravel, sand, and silt of variable composition),
colluvium, and a few landslide deposits.  At the mountain front,
north-trending, Paleozoic and Mesozoic formations of sandstone,
shale, and minor limestone dip mostly eastward and form folds,
fault blocks, hogbacks and intervening valleys.  Local dikes and
sills of Tertiary rhyodacite and basalt intrude rocks near the
range front, mostly in the Boulder area.

Tags: aftonian-interglaciation, aggregate, alluvial-gravel, boulder, boulder-county, boulder-creek-granodiorite, bull-lake-glaciation, colorado, colorado-front-range, colorado-piedmont, cretaceous, cretaceous-rocks, eocene, eolian-sand, fort-collins, front-range-urban-corridor, gems, geologic-hazard, geologic-map, geologic-map-schema, greeley, holocene, illinoian-glaciation, jefferson-county, jurassic, kansan-glaciation, land-use-planning, landslide-deposit, larimer-county, mine-subsidence, national-cooperative-geologic-mapping-program, national-geologic-synthesis-project, ncgmp, nebraskan-glaciation, ngs, paleocene, paleocene-and-eocene-igneous-rocks, paleozoic-rocks, pennsylvanian, permian, pinedale-glaciation, pleistocene, pliocene, precambrian-rocks, precambrian-x, precambrian-y, quaternary, quaternary-deposits, sangamon-interglaciation, silver-plume-quartz-monzonite, triassic, united-states-of-america, urban-growth, urban-zoning, us-geoframework-initiative, usa, usgi, usgs-635a935cd34ebe4425047121, weld-county, yarmouth-interglaciation
Organization: Department of the Interior
U-Pb Isotopic Data and Ages of Detrital Zircon and Volcanic Zircon Grains from the Torok and Nanushuk Formations, Arctic Alaska, 2021

This dataset contains U-Pb isotopic data and associated ages of zircon grains from 27 sedimentary samples and one volcanic ash sample from the Cretaceous Torok and Nanushuk Formations. Seven samples were collected from outcrop and 21 samples were collected from archived core material from oil exploration wells on the North Slope of Arctic Alaska. Zircon grains were analyzed at the University of California, Santa Barbara (UCSB) between 2013 and 2018 using laser-ablation inductively coupled plasma mass spectrometry (LA-ICPMS) techniques. The study was funded by the Energy Resources Program of the U.S. Geological Survey (USGS).

Tags: alaska, brooks-range, detrital-zircon, earth-science, geochemistry, geochronology, geology, geoscientificinformation, isotopic-analysis, north-slope, paleoclimate, sedimentary-rocks, stratigraphic-sequence, titanite, u-pb-geochronology, uranium-lead-analysis, usgs-asc429
Organization: Department of the Interior
Model subareas and moisture zones used in a sensitivity analysis of a water-budget model completed in 2022 for the island of Oahu, Hawaii

A sensitivity analysis of groundwater-recharge estimates from a water-budget model was completed for the islands of Oahu and Maui, Hawaii (Johnson and others, 2023). Results of the sensitivity analysis were used to quantify the relative importance of selected model parameters to recharge estimates for three moisture zones (dry, mesic, and wet) on Oahu and Maui. This shapefile contains the boundaries of the moisture zones and boundaries of the model subareas that were used in the model simulations for Oahu. The shapefile attribute information includes the names of the land-cover types assigned to model subareas and the mean annual recharge values determined for the model subareas for the baseline scenario of the sensitivity analysis.

Tags: biota, boundaries, climatologymeteorologyatmosphere, environment, geoscientificinformation, groundwater, hawaii, inlandwaters, land-use-and-land-cover, oahu, pacific-islands, usgs-64f26b87d34ed30c2053d8db, water-budget, water-cycle
Organization: Department of the Interior
Mineral Commodity Summaries 2022 - SAND AND GRAVEL (INDUSTRIAL) Data Release

This data release contains the U.S. salient statistics and world production data extracted from the SAND AND GRAVEL (INDUSTRIAL) data sheet of the USGS Mineral Commodity Summaries 2022.

Tags: frac-sand, hydraulic-fracturing-sand, industrial-sand-and-gravel, nonmetallic-mineral-resources, silica-sand, usgs-61ead37ed34e8b818ad9f3fd
Organization: Department of the Interior
Burned Area Reflectance Classification (BARC) Assessment Burned Areas Boundaries for 2001-2024

These data products are preliminary burn severity assessments derived from post sensor data (including Landsat TM, Landsat ETM+, Landsat OLI, Sentinel 2A, and Sentinel 2B). The pre-fire and post-fire subsets included were used to create a differenced Normalized Burn Ratio (dNBR) image. The dNBR image attempts to portray the variation of burn severity within a fire. The severity ratings are influenced by the effects to the canopy.  The severity rating is based upon a composite of the severity to the understory (grass, shrub layers), midstory trees and overstory trees. Because there is often a strong correlation between canopy consumption and soil effects, this algorithm works in many cases for Burned Area Emergency Response (BAER) teams whose objective is a soil burn severity assessment. It is not, however, appropriate in all ecosystems or fires. It is expected that BAER teams will adjust the thresholds to match field observations to produce a soil burn severity. This map layer is a vector polygon shapefile of the location of all currently inventoried fires occurring between calendar year 2001 and 2024 for CONUS, Alaska, Hawaii, and Puerto Rico. Fires omitted from this mapped inventory are those where suitable satellite imagery was not available, or fires which were not discernable from available imagery.

Tags: ak, alaska, baer, burn-severity, burned-area, continental-u-s, conus, differenced-normalized-burn-ratio, fire-location, fire-occurrence, hawaii, hi, imagerybasemapsearthcover, landsat, location, normalized-burn-ratio, pr, prescribed-fire, puerto-rico, sentinel, united-states, us, usgs-62e3cda2d34e394b65365bd4, wildfire, wildland-fire
Organization: Department of the Interior
Quality assurance data to evaluate the vertical accuracy of the bathymetric data for Beaver Lake near Rogers, Arkansas, 2018

Beaver Lake was constructed in 1966 on the White River in the northwest corner of Arkansas for flood control, hydroelectric power, public water supply, and recreation. The surface area of Beaver Lake is about 27,900 acres and approximately 449 miles of shoreline are at the conservation pool level (1,120 feet above the North American Vertical Datum of 1988). Sedimentation in reservoirs can result in reduced water storage capacity and a reduction in usable aquatic habitat. Therefore, accurate and up-to-date estimates of reservoir water capacity are important for managing pool levels, power generation, water supply, recreation, and downstream aquatic habitat. Many of the lakes operated by the U.S. Army Corps of Engineers are periodically surveyed to monitor bathymetric changes that affect water capacity.
In October 2018, the U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers, completed one such survey of Beaver Lake using a multibeam echosounder. The echosounder data was combined with light detection and ranging (lidar) data to prepare a bathymetric map and a surface area and capacity table. Bathymetric quality-assurance data contained in this dataset (BeaverLake2018_QA.zip) were collected to evaluate the vertical accuracy of the gridded bathymetric point data (BeaverLake2018_bathy.zip) used for creation of mapping contours and the area-capacity table.

Tags: arkansas, bathymetry, bathymetry-and-elevation, beaver-lake, benton-county, multibeam, multibeam-sonar, rogers, u-s-geological-survey, usgs, usgs-5da878e2e4b09fd3b0c9c587, white-river
Organization: Department of the Interior
Arizona Pronghorn Anderson Mesa Stopovers

Pronghorn in the Anderson Mesa herd reside in Game Management Units 5A and 5B, located southeast of Flagstaff, Arizona. The herd summers at higher elevations (7,326 ft [2,233 m]) on Anderson Mesa and winters at lower elevations (5,577 ft [1,700 m]) in Dog Valley. Summer and winter habitats consist primarily of perennial grasslands and shrubs. The steep mesa, as well as impermeable fencing and pinyon and juniper encroachment, limits pronghorn movement between seasonal ranges. These barriers force the Anderson Mesa herd to follow three distinct migration routes separated by Anderson Canyon, Canyon Diablo, and Jacks Canyon. 
Approximately 2.50 miles (4.02 km) north of the herd’s winter range, Interstate 40 creates a barrier to any substantial northward movement by the Anderson Mesa pronghorn. In 1967, high snow levels pushed the Anderson Mesa herd to the Interstate 40 boundary (State Route 66 at the time). The herd’s aversion to barriers and limited access to winter forage caused approximately 77 percent of the herd to die that winter. The Anderson Mesa pronghorn herd continues to recover from the large mortality event, which suggests the importance of maintaining migration corridors for the herd’s seasonal movements.
These mapping layers show the location of the migration stopovers for pronghorn (Antilocapra americana) in the Anderson Mesa population in Arizona. They were developed from 30 migration sequences collected from a sample size of 14 animals comprising GPS locations collected every 8 hours.

Tags: animal-behavior, arizona, biota, flagstaff, migration-organisms, migratory-species, united-states, usgs-679174b7d34ea6a4002bfa80
Organization: Department of the Interior
Sea star wasting disease pathology

Sea star wasting disease (SSWD) is a suite of poorly described non-specific clinical signs including abnormal posture, epidermal ulceration, and limb autotomy (sloughing) causing mortalities of over 20 species of sea stars and subsequent ecological shifts throughout the northeastern Pacific.    While SSWD is widely assumed to be infectious with environmental conditions facilitating disease progression, little data exist on cellular changes associated with disease that could inform mechanisms of disease pathogenesis and host susceptibility.  Here, we replicated SSWD by exposing captive Pisaster ochraceus to a suite of non-infectious organic substances and show that development of gross lesions is a basal to surface process involving inflammation (e.g. infiltration of coelomocytes) of ossicles and mutable collagenous tissues leading to epidermal ulceration.  Affected sea stars also manifest increases in a heretofore undocumented coelomocyte type, spindle cells, that might be a useful marker of inflammation in this species.  Finally, compared to purple morphs, orange P. ochraceus developed more severe lesions and survived longer.  Longer lived, and presumably more visible severely lesioned orange sea stars, could have important demographic implications in terms of detectability of lesioned animals in the wild and measures of apparent prevalence of disease.

Tags: biota, clinical-pathology, echinoderms, electron-microscopy, histopathology, light-microscopy, usgs-601066c5d34e162231fed0e0
Organization: Department of the Interior
California Pronghorn Likely Tables Annual Range

The Likely Tables herd contains migrants, but this herd does not migrate between traditional summer and winter seasonal ranges. Instead, much of the herd displays a nomadic tendency, slowly migrating north for the summer using various high use areas as they move. Therefore, annual ranges were modeled using year-round data to demarcate high use areas in lieu modeling specific winter ranges. A high use area being used during winter by many of the collared animals is west of the Warner Mountains, east of U.S. Highway 395, and north of Moon Lake. Some animals live in the agricultural fields west of U.S. Highway 395. There appears to be little if any movement across the highway, which is fenced on both sides in this area. Summer ranges are spread out, with some individuals moving as far north as Goose Lake. A few outliers in the herd moved long distances south toward the Lassen herd or east to Nevada. Drought, increasing fire frequency, invasive annual grasses, and juniper encroachment negatively affect pronghorn habitat. Recent population surveys indicate a declining population (Trausch and others, 2020). Juniper removal on public and private lands have potential to improve habitat quality and potentially reduce predation (Ewanyk, 2020). Fences on public and private lands affect movement corridors and increase crossing and/or migration times. Recent fence modifications on BLM lands have shown potential to ease pronghorn movements (Hudgens, 2022).
These mapping layers show the location of the annual range for pronghorn (Antilocapra americana) in the Likely Tables population in California. They were developed from 25 sequences collected from a sample size of 20 animals comprising GPS locations collected every 1-4 hours.

Tags: alturas, animal-behavior, biota, california, migration-organisms, migratory-species, united-states, usgs-6584b4bed34eff134d42d9d9
Organization: Department of the Interior
Accuracy of Rapid Crop Cover Map of Conterminous United States for 2010

Spatially accurate annual crop cover maps are an important component to various planning and research applications; however, the importance of these maps varies significantly with the timing of their availability. Utilizing a previously developed crop classification model (CCM), which was used to generate historical annual crop cover maps (classifying nine major crops: corn, cotton, sorghum, soybeans, spring wheat, winter wheat, alfalfa, other hay/non alfalfa, fallow/idle cropland, and ‘other’ as one class for remaining crops), we hypothesized that such crop cover maps could be generated in near real time (NRT). The CCM was trained on 14 temporal and 15 static geospatial datasets, known as predictor variables, and the National Agricultural Statistics Service (NASS) Cropland Data Layers (CDL) was used as the dependent variable. We were able to generate a NRT crop cover map by the first day of September through a process of incrementally removing weekly and monthly data from the CCM and comparing the subsequent map results with the original maps and NASS CDLs. Initially, our NRT results revealed training error of 1.4% and test error of 8.3%, as compared to 1.0% and 7.6%, respectively for the original CCM. Through the implementation of a new ‘two-mapping model’ approach, we were able to substantially improve the results of the NRT crop cover model. We divided the NRT model into one ‘crop type model’ to handle the classification of the nine specific crops and a second, binary model to classify crops as presence or absence of the ‘other’ crop. Under the two-mapping model approach, the training errors were 0.8% and 1.5% for the crop type and binary model, respectively, while test errors were 5.5% and 6.4% for crop type and binary model, respectively. With overall mapping accuracy for the map reaching 67.18 percent, this approach shows strong potential for generating crop type maps of current year in September.

Tags: conus, crop-cover-mapping, modelling, near-real-time, usgs-5a8700d7e4b00f54eb3a2b08
Organization: Department of the Interior
Water-quality and stream discharge data for estimation of nitrogen loads in the South Platte River, Denver, CO, 2017-2018

The purpose of this data release is to provide the original data, analysis methods, and nitrogen loading models in support of a study of the  upper South Platte River annual total nitrogen loads attributed to atmospheric deposition of reactive nitrogen during 2017-2018.  The data release includes water-quality and stream discharge data and associated predictive regression models used in the estimation of South Platte River nitrogen loads upstream from Weldona, Colorado and sub-basin runoff coefficients for the reach between Chatfield Dam and the South Platte River at Denver gage.  The water-quality data were obtained from monthly unfiltered grab samples collected by the Denver Department of Public Health and Environment and analyzed by Standard Methods 4500-NO2-B (nitrite); 4500-NO3-F (nitrate); and 4500-NORG-B+NH3 (Total Kjeldahl Nitrogen).  Stream discharge data were obtained for gaging stations from the National Water Information System and Colorado Division of Water Resources with two exceptions as follows.  The Englewood wastewater reclamation facility discharge data were supplied by the facility.  Discharge values for site N25E were calculated by subtracting the discharge from Cherry Creek at Denver (site W17) from the discharge at South Platte River at Denver. In addition to supplying the data used to calculate nitrogen loads and sub-basin runoff coefficients, this data release also provides the equations and diagnostic statistics for the models developed using the LOADEST software configured for R (rloadest package).  Data users are referred to R help to define the many diagnostic statistics presented.

Tags: city-of-denver, nitrogen, south-platte-river, urban-runoff, usgs-5fc66ccbd34e4b9faad88eb9, water-quality
Organization: Department of the Interior
Wind rose plots for the volcano: 322030  Blue Lake Crater

This zip folder contains ASCII text files of vectors at the specified volcano at 
12-hour intervals, 
from January 1, 1990 through December 28, 2009.  
The wind vectors are divided into five files, names by their elevation range above 
sea level in the atmosphere: 00-05km.txt; 05-11km.txt; 11-16km.txt; 16-24km.txt; 
and 24-30km.txt. 
The zip folder also contains a subfolder "figures", with Wind rose plots of wind 
direction and speed over 
this time period.  The plots are by season, and by elevation, given a total of 20 
plots (4 seasons, 5 
elevation ranges).  A summary plot is also included which gives the year-round 
wind pattern at the volcano, 
at 0-5 km elevation.  Plots are in both jpg and pdf format.

Tags: meteorology, usgs-58d015dfe4b0236b68f5300b, volcanic-ash, volcanic-eruption-forecasting, wind
Organization: Department of the Interior
Winter-spring streamflow volume and timing data for 75 Hydroclimatic Data Network-2009 basins in the conterminous United States 1920-2014

This dataset contains gage information for 75 Hydroclimatic Data Network-2009 basins in the conterminous United States and associated annual runoff volume, winter-spring runoff volume, and winter-spring runoff timing data 1920-2014, as well as trend results for WSCVD and WSV for periods 1920-2014, 1940-2014, and 1960-2014.

Tags: streamflow, usgs-582f21cae4b04d580bd43594
Organization: Department of the Interior