AndreaBozzo/ceres-open-data-index huggingface dataset:
LANDFIRE 2022 Forest Canopy Bulk Density (CBD) Puerto Rico US Virgin Islands

LANDFIRE's (LF) 2022 Canopy Bulk Density (CBD) describes the mass of available canopy fuel per unit canopy volume that would burn in a crown fire. A spatially explicit map of CBD supplies information used in fire behavior models to determine the spread characteristics of active crown fires across the landscape. CBD for disturbed and non-disturbed areas is determined via a general linear model (GLM) relating Canopy Height (CH) and Canopy Cover (CC) to CBD (Reeves et al 2009). In LF 2022, fuel products are created with LF 2016 Remap vegetation in areas that were un-disturbed in the last ten years.  
To designate disturbed areas where CBD is modified, the aggregated Annual Disturbance products from 2013 to 2022 in the Fuel Disturbance (FDist) product are used. All existing disturbances between 2013-2022 are represented in the LF 2022 update, and the products are intended to be used in 2023 (the year of release). The “capable” year terminology used in LF 2020 and LF 2016 Remap is no longer specified, due to reduction in latency from when a disturbance occurs to the release date of fuel products accounting for that disturbance. However, users should still consider adjusting fuel layers for disturbances that occurred after the end of the 2022 fiscal year (after October 1st, 2022) when using the LF 2022 fuel products. Because those changes would not be accounted for. Learn more about LF 2022 at https://landfire.gov/lf_230.php .

Tags: biota, canopy-bulk-density, cbd, fires, geographic-information-systems, geospatial-datasets, hazard-preparedness, ia, image-collections, imagerybasemapsearthcover, insular-areas, landfire-2022, lf-2022, oconus, puerto-rico, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, us-virgin-islands, usgs-6555418fd34ee4b6e05c4627
Organization: Department of the Interior
Utica Shale and Point Pleasant Formation Isotopic Compositions

This release contains isotopic composition (δ7Li, δ11B, δ138Ba) data of produced water and core samples taken from the Utica Shale and Point Pleasant Formation.

Tags: commodity, geoscientificinformation, ohio, oil-and-gas, pennsylvania, produced-water, renewable-energy, thermal-maturity, usgs-6555302ad34ee4b6e05c45b8, west-virginia
Organization: Department of the Interior
Optical measurements for surface water samples collected within the Neshaminy Creek basin during November 2021

Here we report optical data collected as part of a collaborative study between USGS Pennsylvania Water Science Center, Pennsylvania Department of Environmental Protection and Water Mission Area Proxies Project. The optical measurements reported here were collected to aide in the characterization of water sources and mixtures and establish proxies (surrogates) for per- and poly-fluorinated alkyl substances within the Neshaminy Creek basin. Data are compiled into three tables: 1) full fluorescence spectra in vectorized format, 2) full absorbance spectra, and 3) summary file of commonly extracted optical indicators and field-based sensor arrays.

Tags: absorbance, california, california-water-science-center, environment, fdom, fluorescence, organic-matter, organic-matter-research-lab, sacramento, tdn, total-dissolved-nitrogen, usgs-655515c3d34ee4b6e05c44c2, water-quality
Organization: Department of the Interior
Fluorescein and Rhodamine WT concentration and recovery data for select samples collected in Monroe County, West Virginia, in August and September 2019

Fluorescein and Rhodamine WT dye-tracer injections were performed in Monroe County, West Virginia to determine groundwater flow paths and identify the location of the groundwater divide within the Greenbrier karst aquifer in the area south of Union, West Virginia. Fluorescein was injected in a swallet on Burnside Branch upstream of Steel's cave (37° 33' 56.0" latitude -80° 32' 57.6" longitude) and Rhodamine WT was injected into a swallet at the contact of the Hillsdale Limestone and Maccrady Shale in the headwaters of Taggart Branch (37° 33' 17.8" latitude -80° 28' 29.0" longitude). Data collected from these tracer injections supported interpretations made by Jones (1997) with some refinements. The first table contains concentration of Fluorescein dye recovered at Dickson Spring in micrograms per liter (µg/L), mass of dye recovered at Dickson Spring in micrograms (µg) for each 8-hour sample, a cumulative running total mass of dye recovered at Dickson Spring in µg, and percent recovery of dye at Dickson Spring. Data were collected on an 8-hour interval with an automated sampler, so time of collection for each sample is denoted for each sample. Percent recovery is based on using one discharge measurement of 6.87 cubic feet per second (cfs) near the end of the recovery period. The second table contains concentration of Rhodamine WT in µg/L dye recovered at two sites: the resurgence from Steel's Cave and in Indian Creek at Salt Sulphur Springs, along with a cumulative running total mass of dye recovered at Steel's Cave in µg, and percent recovery of dye recovered at Steel's Cave. Data were collected manually once per day usually in midafternoon, but actual collection times of samples were not reported. The percent recovery calculation assumed a constant discharge at the spring of 0.59 cfs based on one measurement during the recovery period. It could not be determined whether dye detected in Indian Creek at Red Sulphur contained additional emergence or was simply the mass of dye that discharged upstream at the outlet from Steel's Cave. As a result, the mass, running cumulative total amount, and percent of dye recovery were not calculated for the Indian Creek at Salt Sulphur Springs monitoring site. Results of the tests, including a map showing locations of tracer injection and monitoring points, dye travel paths, previous tracer tests conducted in Monroe County, and a refinement of karst groundwater basins defined within the Greenbrier aquifer by Jones (1997) are presented in the accompanying USGS Scientific Investigations Report 2023-5121 to this data release. This data release contains two comma-delimited data files. Fluorescein_Data.csv contains data for select samples collected in Monroe County, West Virginia, in August and September 2019. Rhodamine_WT_Data.csv contains data for a tracer test conducted in Monroe County, West Virginia, July 2019.

Tags: biota, ground-water, ground-water-level, monroe-county, usgs-6554c709d34ee4b6e05c41dc, west-virginia
Organization: Department of the Interior
02031 - Geophysical Surveys of Bear Lake, Utah-Idaho, September, 2002 - Bathymetry Tracklines (BATHY_TRK)

Bear Lake is a tectonic lake that has existed for at least several hundred thousand years. The lake basin is a relatively simple half graben, a spoon-shaped depression tilted toward the main fault on the east side of the lake. The U.S. Geological Survey, in cooperation with researchers from several universities, has been studying the sediments of Bear Lake since 1996.  The general purpose of this effort is to reconstruct past limnological conditions and regional climate on a range of timescales, from hundreds of years to hundreds of thousands of years.  This research relates to a variety of human concerns, including water usage in the Bear River basin. Past work has included several coring operations, a seismic-reflection survey, sediment-trap deployments, a barge-mounted drilling operation with the GLAD800 drill rig, and a variety of other studies.
The objectives of the September, 2002 operations, preliminarily reported here, were (1) to compile a detailed bathymetric map of the lake using swath-mapping techniques, in order to provide baseline data for a variety of applications and studies, and (2) to complete a sidescan-sonar survey of the lake, providing a nearly complete acoustic image of the lake floor. Limited amounts of subbottom acoustic-reflection data (chrip) were also collected, along with samples of lake-floor sediments representative of different kinds of backscatter patterns.  These surveys followed an earlier subbottom acoustic-reflection survey (1997), using boomer and 3.5 kHz systems (S. M. Colman, unpublished data).

Tags: bathymetry, bear-lake, cmgp, coastal-and-marine-geology-program, geophysics, geoscientificinformation, geospatial-datasets, idaho, interferometry, location, navigational-data, north-america, swath-bathymetry, transportation, u-s-geological-survey, united-states, usgs, usgs-65541804-6aa9-45ac-a5bf-4bbe7a25e2bd, utah, western-lakes, whsc-field-activity-number-02031, woods-hole-science-center
Organization: Department of the Interior
National Land Cover Database (NLCD) 2016 Accuracy Assessment Points Conterminous United States

The National Land Cover Database (NLCD) is a land cover monitoring program providing land cover information for the United States. NLCD2016 extended temporal coverage to 15 years (2001–2016). We collected land cover reference data for the 2011 and 2016 nominal dates to report land cover accuracy for the NLCD2016 database 2011 and 2016 land cover components. We measured land cover accuracy at Level II and Level I, and change accuracy at Level I. For both the 2011 and 2016 land cover components, single-date Level II overall accuracies (OA) were 72% (standard error of ±0.9%) when agreement was defined as match between the map label and primary reference label only and 86% (± 0.7%) when agreement also included the alternate reference label. The corresponding level I OA for both dates were 79% (± 0.9%) and 91% (± 1.0%). For land cover change, the 2011–2016 user’s and producer’s accuracies (UA and PA) were ~ 75% for forest loss. PA for water loss, grassland loss, and grass gain were &gt; 70% when agreement included a match between the map label and either the primary or alternate reference label. Depending on agreement definition and level of the classification hierarchy, OA for the 2011 land cover component of the NLCD2016 database was about 4% to 7% higher than OA for the 2011 land cover component of the NLCD2011 database, suggesting that the changes in mapping methodologies initiated for production of the NLCD2016 database have led to improved product quality.

Tags: accuracy-assessment, imagerybasemapsearthcover, land-cover, land-cover-change, nlcd, reference-data-quality, u-s, united-states, us, usgs-6553bd41d34ee4b6e05c3fe5
Organization: Department of the Interior
Plant composition, shrub biomass, and soil biogeochemistry from an experimental drought treatment on the Colorado Plateau

These data were compiled for a study that investigated the effects of drought seasonality and plant community composition in a dryland ecosystem. In 2015 U.S. Geological Survey ecologists recorded vegetation and soil moisture data in 36 experimental plots which manipulated precipitation in two plant community types. The experiment consisted of three precipitation treatments: control (ambient precipitation), cool-season drought (-66% ambient precipitation November-April), and warm-season drought (-66% ambient precipitation May-October), applied in two plant communities (perennial grasses with or without a large shrub, Ephedra viridis) over a three-year period. These data were collected from 2015 to 2022 near Canyonlands National Park, UT. These data represent precipitation, soil moisture, percent cover estimates, soil biogeochemistry data (carbon, nitrogen, and phosphorus concentrations) and biomass from experimental treatments. The datasets includes data on when treatments were imposed, ambient precipitation, soil moisture measured at two depths, plant cover and plant biomass measured in the spring and fall from 2015-2019. Additionally, soil cores were collected in the fall 2018 and spring 2019 to measure biogeochemical cycling concentrations for available carbon, nitrogen, phosphorus, and microbial biomass. Standing grass biomass and Ephedra viridis biomass are done through allometric relationships based on a combination of point-frame green hits, leaf lengths, and leaf numbers, combined with double sampling.  The biomass data provide an estimate of how treatments are impacting overall grass and shrub species productivity.  These data can be used to compare the effects of drought seasonality on shrub and grass communities and biogeochemistry dynamics.

Tags: achnatherum-hymenoides, ambient-precipitation, biogeochemical-cycling, biogeochemical-data, biogeochemistry, biomass, biota, c3-photosynthesis, c4-photosynthesis, canyonlands-national-park, carbon, carbon-concentrations, colorado-plateau, control-treatments, cool-season-drought-treatments, data-release, drought-seasonality, droughts, dryland-ecosystems, ecosystems, ephedra-viridis, experimental-plots, experimental-seasonal-drought, field-inventory-and-monitoring, field-measurements, field-sampling, geoscientificinformation, indian-ricegrass, interspace-cover-estimates, islands-of-fertility, james-galleta, mormon-tea, needles-district, nitrogen, nitrogen-concentrations, percent-cover-estimates, perennial-grasses, phosphorus, phosphorus-concentrations, photosynthesis, plant-community-composition, plants-organisms, pleuraphis-jamesii, precipitation-atmospheric, precipitation-treatments, shrubland-ecosystems, soil-cores, soil-moisture, soil-sciences, soil-volumetric-water-content, southeastern-utah, usgs-6553ac26d34ee4b6e05c3f16, utah, vegetation, warm-season-drought-treatments
Organization: Department of the Interior
Array detections and physical captures for three native fishes in the Little Colorado River in Grand Canyon, AZ

These data were compiled to monitor native fishes (particularly humpback chub Gila cypha) in the Little Colorado River, in the Grand Canyon, AZ. Objective(s) of our study were to evaluate the timing of native fish migration and the abundance of migratory and resident fishes between the Colorado and Little Colorado Rivers in the Grand Canyon. These data represent encounter histories for fishes - including array detections and physical captures. These data were collected in the lower 13.56 river kilometers of the Little Colorado River in April and May of 2021 and 2022. These data were collected by U.S. Fish and Wildlife Service (physical captures) and U.S. Geological Survey (array detections). These data can be used to evaluate yearly or size-based differences in timing and abundance of spawning fishes. These data can also be used to evaluate partial migration.

Tags: arizona, array-detections, biota, bluehead-sucker, colorado-river, data-release, encounter-histories, field-inventory-and-monitoring, field-sampling, fish, flannelmouth-sucker, grand-canyon, humpback-chub, inlandwaters, little-colorado-river, marking-status, migration-organisms, migration-timing, native-species, partial-migration, physical-captures, size-categories, spawning-migration, tributaries, usgs-6553a618d34ee4b6e05c3e2b
Organization: Department of the Interior
WATSTORE Peak-flow data for selected streamgages in Carter, Custer, Fallon, Powder River, and Prairie Counties, Montana, based on data through water year 2022

This file (wymt_ffa_2022B_WATSTORE.txt) contains peak-flow input data for PeakFQ for peak-flow frequency analyses for selected streamgages based on data through water year 2022. The file format is called WATSTORE (National Water Data Storage and Retrieval System) available from NWISWeb (http://nwis.waterdata.usgs.gov/usa/nwis/peak).

Tags: annual-exceedance-probability, boxelder, carter-county, computational-methods, custer-county, fallon-county, floods, hazard-preparedness, hazards, hydrologic-processes, hydrology, inlandwaters, land, little-powder, lower-tongue, lower-yellowstone, middle-powder, montana, north-america, ofallon, peak-flow-frequency, powder-river-county, prairie-county, statistical-analysis, stream-gage-measurement, streamflow, time-series-analysis, united-states, upper-little-missouri, usgs-65539fd6d34ee4b6e05c3df9, usgs-cc-natural-hazards, watershed-management
Organization: Department of the Interior
Results of peak-flow frequency analyses for selected streamgages in Carter, Custer, Fallon, Powder River, and Prairie Counties, Montana, based on data through water year 2022

The USGS Wyoming-Montana Water Science Center (WY–MT WSC) completed a report (Sando and McCarthy, 2018) documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 66.7-, 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected USGS streamgages. This data release presents peak-flow frequency analyses for selected streamgages in Carter, Custer, Fallon, Powder River, and Prairie Counties, Montana, based on data through water year 2022, using methods described by Sando and McCarthy (2018).

Tags: annual-exceedance-probability, boxelder, carter-county, computational-methods, custer-county, fallon-county, floods, hazard-preparedness, hazards, hydrologic-processes, hydrology, inlandwaters, land, little-powder, lower-tongue, lower-yellowstone, middle-powder, montana, north-america, ofallon, peak-flow-frequency, powder-river-county, prairie-county, statistical-analysis, stream-gage-measurement, streamflow, time-series-analysis, united-states, upper-little-missouri, usgs-65539a14d34ee4b6e05c3dcf, usgs-cc-natural-hazards, watershed-management
Organization: Department of the Interior
PeakFQ version 7.4.1 specifications file for peak-flow frequency analyses for selected streamgages in Carter, Custer, Fallon, Powder River, and Prairie Counties, Montana, based on data through water year 2022

This file (wymt_ffa_2022B.psf) contains specifications to run PeakFQ version 7.4.1 for peak-flow frequency analyses for selected streamgages based on data through water year 2022.

Tags: annual-exceedance-probability, boxelder, carter-county, computational-methods, custer-county, fallon-county, floods, hazard-preparedness, hazards, hydrologic-processes, hydrology, inlandwaters, land, little-powder, lower-tongue, lower-yellowstone, middle-powder, montana, north-america, ofallon, peak-flow-frequency, powder-river-county, prairie-county, statistical-analysis, stream-gage-measurement, streamflow, time-series-analysis, united-states, upper-little-missouri, usgs-6552a2f4d34ee4b6e05c39d1, usgs-cc-natural-hazards, watershed-management
Organization: Department of the Interior
Bathymetric Surveys of the White River at the U.S. Army Corps of Engineers Fish Passage Facility, December 2020 to September 2022

The U.S. Army Corps of Engineers Fish Passage Facility, located on the White River, Washington State, collects upstream-migrating fish and transfers them to trucks, allowing the fish to access the watershed upstream of Mud Mountain Dam. The structure, constructed in 2019, includes an impoundment held by gates that can be raised or lowered remotely. Those gates are typically lowered during higher flows to allow sediment trapped in the impoundment to flush downstream. Starting in 2020, the USGS collected repeat bathymetric surveys of the White River in the immediate vicinity of the facility to help document how the local channel bed responded to various gate operation strategies. Surveys were generally conducted as soon as possible after high flows that exceeded 4,000 ft3/s. 
Surveys were conducted using acoustic doppler current profilers (ADCPs) mounted on a remote-control boat, providing XY-depth data, combined with global navigation satellite system (GNSS) surveys used to measure water surface elevations and the location of waters edge. The data were used to construct continuous one-meter digital elevation models (DEMs) of the channel bed. The extent covered in a given survey varied between survey dates, primarily as a function of where water depths were sufficient to operate the ADCP, though all surveys covered the forebay just upstream of the impoundment. A total of ten surveys were conducted between December 15, 2020 and September 30, 2022. 
Each survey is packaged into a zip file containing: the final one-meter DEM; a csv of all GNSS data; a csv of all xy-depth data from ADCPs; a geopackage, containing the full set of final XYZ points used to construct the DEM, a polygon defining the extents of the DEM, lines defining the waters edge, where depth was enforced to be zero, and lines defining the linear referencing used to link ADCP and GNSS data; a folder containing the original ADCP output in proprietary and ASCII formats; an R script containing all processing steps used to construct the final DEM; and metadata specific to that survey date. An additional folder ('white_fpf_supporting_scripts_data.zip') contains two R scripts, each containing custom functions used in processing the data, and a CSV of coordinates for the four control points used to validate survey datum in the latter surveys.

Tags: bathymetry, elevation, pierce-county, usgs-655298a9d34ee4b6e05c399c, white-river
Organization: Department of the Interior
Enumeration of cell types in Aiptasia for purposes of characterizing cytology

A need exists for additional methods to examine cnidaria at the cellular level to aid our understanding of health, anatomy, and physiology of this important group of organisms.  This need is particularly acute given that disease is emerging as a major factor in declines of ecologically important functional groups such as corals.  Here we describe a simple method to process cnidarian cells for microscopic examination using the model organism Aiptasia.  We show that this organism has at least 18 cell types or structures that can be readily distinguished based on defined morphological features.  Some of these cells can be related back to anatomic features of the animal both at the light microscope and ultrastructural level.  The cnidome of  Aiptasia may be more complex than what is currently understood.  Moreover, cnidarian cells, including some types of cnidocytes, phagocytize cells other than endosymbionts.  Finally, our findings shed more light on morphologic complexity of cell-associated microbial aggregates and their intimate intracellular associations. The tools described here could be useful for other cnidaria.

Tags: bacterial-clusters, biota, clinical-pathology, cnidae, phagocytosis, usgs-65528c83d34ee4b6e05c3942
Organization: Department of the Interior