AndreaBozzo/ceres-open-data-index huggingface dataset:
Attributes for NHDPlus Version 2.1 Reach Catchments and Modified Routed Upstream Watersheds for the Conterminous United States: National Inventory of Dams (NID) Storage and Construction by Decade, 1930 to 2010

This tabular data set contains decadal information on dams compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID.  The source data for dam information was produced by the United States Army Corps of Engineers. The information provided here contains the number of dams (both major and minor), dam storage (acre feet) and decade of construction compiled as described above. Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions. Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. (Schwarz and Wieczorek, 2018).

Tags: dam-storage, dams, inlandwaters, major-dams, national-inventory-of-dams, nhdplus, usgs-58c301f2e4b0f37a93ed915a
Organization: Department of the Interior
Digital Shoreline Analysis System version 4.1 Transects with Long-Term Rate Calculations for the Delmarva South/Southern Virginia region from Wallops Island, Virginia to the Virginia/North Carolina border (DelmarvaS_SVA_LT.shp)

Sandy ocean beaches are a popular recreational destination, often surrounded by communities containing valuable real estate.  Development is on the rise despite the fact that coastal infrastructure is subjected to flooding and erosion.  As a result, there is an increased demand for accurate information regarding past and present shoreline changes.  To meet these national needs, the Coastal and Marine Geology Program of the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data along open-ocean sandy shores of the conterminous United States and parts of Alaska and Hawaii under the National Assessment of Shoreline Change project.
There is no widely accepted standard for analyzing shoreline change.  Existing shoreline data measurements and rate calculation methods vary from study to study and prevent combining results into state-wide or regional assessments.  The impetus behind the National Assessment project was to develop a standardized method of measuring changes in shoreline position that is consistent from coast to coast.  The goal was to facilitate the process of periodically and systematically updating the results in an internally consistent manner.

Tags: accretion, assawoman-island, atlantic-coast, baseline, cape-henry, cedar-island, cmgp, coastal-and-marine-geology-program, coastal-processes, cobb-island, continental-island-shore-complex, delmarva, digital-shoreline-analysis-system, dsas, effects-of-coastal-change, endpoint-rate, environment, erosion, false-cape, fishermans-island, geoscientificinformation, historic-shoreline, hog-island, linear-regression-rate, metompkin-island, mid-atlantic, myrtle-island, national-assessment-of-shoreline-change-project, oceans, parramore-island, ship-shoal-island, shoreline, shoreline-accretion, shoreline-change-rate, shoreline-erosion, smith-island, transect, u-s-geological-survey, united-states, usgs, usgs-fff1f3d9-69af-4679-9c1b-859ae68d2b9b, virginia, virginia-beach, virginian-ecoregion, wallops-island, whcmsc, woods-hole-coastal-and-marine-science-center, wreck-island
Organization: Department of the Interior
USGS measurements of water quality in San Francisco Bay (CA), 2016-2021 (ver. 4.0, March 2023)

The U.S. Geological Survey maintains a program of water-quality studies in San Francisco Bay (CA) that began in 1969. This USGS Data Release archives and makes available all measurements from 2016-2021. Water-quality constituent measurements were collected aboard a research vessel. Sensor constituents include salinity, temperature, oxygen, and light attenuation coefficient. From these constituents, three parameters are derived: ratio of chlorophyll-a and pheopigments, oxygen percent saturation, and density as Sigma-t. Water sample constituents collected for later analysis include chlorophyll-a, suspended particulate matter, nitrate, nitrite, ammonium, silicate and phosphate.  These discrete water samples were collected at near surface (2m) by a fixed depth pump or at depth using a Niskin water sampler on a depth-marked line. The sampling was conducted monthly at 37 fixed sampling locations along a 145-km transect from lower South San Francisco Bay to the lower Sacramento River.  Additional sampling cruises at a subset of stations (South and Central Bay) were conducted 0-3 times a month. 
All stations are listed in the station location table (SFBay_TableofStationLocations.csv) and standard stations are shown on the map (sfbaymap.jpg).  A prior USGS Data Release contains the 1969-2015 data https://www.sciencebase.gov/catalog/item/5841f97ee4b04fc80e518d9f. The project website contains more details about this research program and data collection https://sfbay.wr.usgs.gov/access/wqdata/.  The website includes a public database where data from all program years can be accessed and downloaded https://sfbay.wr.usgs.gov/water-quality-database/
Please see the VersionHistory.txt for a detailed list of the updates from previous versions.

Tags: chlorophyll, dissolved-oxygen, nutrient-content-water, salinity, turbidity, usgs-5966abe6e4b0d1f9f05cf551, water-quality, water-temperature
Organization: Department of the Interior
Undersized Fire Mapping Program Thematic Burn Severity Mosaic for CONUS in 2019

This map layer is a thematic raster image of MTBS burn severity classes for all inventoried fires occurring in CONUS during calendar year 2019 that do not meet standard MTBS size criteria. These data are published to augment the data that are available from the MTBS program. This product was produced using the methods of the Monitoring Trends in Burn Severity Program (MTBS), however these fires do not meet the size criteria for a standard MTBS assessment. The MTBS Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. MTBS typically maps fires using an initial assessment (immediately after the fire) or an extended assessment (peak of green the season after the fire) for low-biomass and high-biomass fires respectively. Refer to MTBS.gov for more information on MTBS methods and criteria. Standard MTBS mappings must meet the size criteria of at least 500 acres for the eastern states and territories and 1,000 acres for the western states and territories to be eligible for mapping. Undersized MTBS fires are those fires that do not meet the standard MTBS size criteria but are otherwise mapped using standard MTBS methodologies.

Tags: ak, alaska, 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-66c641d5d34e0338828aae25, wildfire, wildland-fire
Organization: Department of the Interior
Airborne geophysical survey: Lime Hills-Lake Clark

Aeromagnetic data were collected along flight lines by instruments in an aircraft that recorded magnetic-field intensity values and location. In surveys such as this one where the data were originally collected in digital form and not digitized from contour maps, the information we provide typically includes latitude, longitude, magnetic anomaly in nanoTeslas, and intermediate values used to derive the magnetic anomaly such as total magnetic field.

Tags: aeromagnetic-surveying, f02050-bethel, f02122-kenai-peninsula, f02170-matanuska-susitna, field-monitoring-stations, geophysics, geospatial-datasets, magnetic-field-earth, usgs-6bbb90eb-a8d5-4647-8543-949dfb5abc54
Organization: Department of the Interior
Development of a Coastal Drought Index Using Salinity Data

A critical aspects of the uniqueness of coastal drought is the effects on salinity dynamics of creeks and rivers. The location of the freshwater-saltwater interface along the coast is an important factor in the ecological and socio-economic dynamics of coastal communities. Salinity is a critical response variable that integrates hydrologic and coastal dynamics including streamflow, precipitation, sea level, tidal cycles, winds, and tropical storms. The position of the interface determines the composition of freshwater and saltwater aquatic communities as well as the freshwater availability for water intakes. Many definitions of drought have been proposed, with most describing a decline in precipitation which has a negative impacts on water supply. Indices have been developed incorporating data such as rainfall, streamflow, soil moisture, groundwater levels, and snow pack. These water availability drought indices were developed for upland areas and may not be ideal for characterizing coastal drought. The availability of real-time and historical salinity datasets provides an opportunity for the development of a salinity-based coastal drought index. The challenge for the salinity data analysis is to characterize the salinity dynamics in response to drought while excluding responses attributable to the occasional and (or) periodic saltwater intrusion events. An approach similar to the Standardized Precipitation Index was modified and applied to salinity data obtained from sites in South Carolina and Georgia. Evaluation of the coastal drought index indicates that the index can be used for different estuary types, for regional comparison, and as an index for wet (high freshwater inflow) and drought conditions. This data release will provide all the supporting data for the journal article including salinity datasets (with estimated missing values) and the computed indices.

Tags: coastal-processes, little-back-river-jasper-county-sc, salinity, salinity-intrusion, specific-conductance, usgs-56bd3e4ee4b0ae9f1c42b0d1, waccamaw-river-georgetown-county-sc
Organization: Department of the Interior
Data on long-term flea control using fipronil grain bait with black-tailed prairie dogs, South Dakota, 2020-2022

We collected fleas from black-tailed prairie dogs (Cynomys ludovicianus) on Buffalo Gap National Grassland and Badlands National Park, South Dakota, 2020-2022. We anesthetized trapped prairie dogs (and their fleas) with isoflurane in induction chambers for processing. We combed each individual with a fine-tooth comb for 30 seconds to remove and count fleas. We released all animals, after they were recovered from anesthesia, at the location where they were captured. Total flea counts from individual prairie dogs were considered an index of flea abundance. 
During 2018-2020, we provided prairie dogs on 21 sites with grain bait, laced with fipronil (0.005% by weight) by placing 1/2 cup or 1/4 cup of grain at each prairie dog burrow opening on the treated sites; 18 non-treated sites functioned as experimental baselines. In 2020–2022, we live-trapped, anesthetized, and combed prairie dogs for fleas.
The data release contains two spreadsheets. The first spreadsheet (FipronilNoneComparison.csv) includes data from captures and combings of individual prairie dogs on treated and non-treated sites and lists the following information for each prairie dog: DATE (date of sampling), TREATMENT (fipronil grain or none), and FLEAS (the number of fleas combed from the prairie dog). These data were used to evaluate the effect of fipronil grain on prairie dog fleas.
The second spreadsheet (DaysSinceFipronil.csv) includes data from captures and combings of prairie dogs on the treated sites only, in 2020 and 2022 (when decent numbers of fleas were found on prairie dogs at the treated sites), and lists the following information for each prairie dog: YEAR (2020 or 2022), DAYSSINCE (days since fipronil grain treatment), and FLEAS (the number of fleas combed from the prairie dog). These data were used to evaluate rebounding flea numbers on the treated sites over time (under the question, how long does it take for flea numbers to rebound on sites treated with fipronil grain?). Day of sampling was not included in this analysis, because that variable would have been confounded with DAYSSINCE.

Tags: badlands-national-park, biota, buffalo-gap-national-grassland, cynomys-ludovicianus, ecology, fipronil, flea, plague, south-dakota, usgs-63f3d304d34efa0476b043e2
Organization: Department of the Interior
California Pronghorn Clear Lake Migration Stopovers

The Clear Lake 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, east, or south 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 of modeling specific winter ranges. The areas adjacent to Clear Lake Reservoir were heavily used during winter by many of the collared animals. A few collared individuals persisted west of State Route 139 year-round, seemingly separated from the rest of the herd due to this highway barrier. However, some pronghorn cross this road near Cornell and join this subgroup. Summer ranges are spread out, with many individuals moving southeast through protected forests or over the state border into Oregon. A few outliers in the herd moved long distances south, crossing State Route 139 to Oak Ridge, or east into Likely Tables pronghorn herd areas. 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 has potential to improve habitat quality and potentially reduce predation (Ewanyk, 2020).
These mapping layers show the location of the migration stopovers for pronghorn (Antilocapra americana) in the Clear Lake population in California. They were developed from 72 migration sequences collected from a sample size of 23 animals comprising GPS locations collected every 1-6 hours.

Tags: animal-behavior, biota, california, cornell, migration-organisms, migratory-species, united-states, usgs-6584b4a8d34eff134d42d9ce
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2016 Site 0258 land-water classification 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. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2016 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Three previous assessments have been conducted (2005, 2008, and 2012). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-5b5f522ce4b006a11f66ea15, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2016 Site 0392 land-water classification 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. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2016 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Three previous assessments have been conducted (2005, 2008, and 2012). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-5b5f52f2e4b006a11f66eaa0, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2016 Site 0172 land-water classification 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. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2016 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Three previous assessments have been conducted (2005, 2008, and 2012). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-5b5f51c7e4b006a11f66e9bd, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Migration Routes of Elk in the Interstate 17 Herd in Arizona

The Interstate 17 (I-17) elk herd primarily resides in Arizona’s GMU 6A and 11M south of Flagstaff. The population estimate for elk in GMU 6A was 6,500 in 2019. Their summer range consists of gentle topography with ponderosa pine forest and interspersed riparian-meadow habitat. Annually, the I-17 elk herd migrates an average of 24 miles to lower-elevation winter range dominated by pinyon-juniper habitat. This winter habitat is located along Oak Creek Canyon to the west and Wet Beaver Creek to the south. The I-17 elk herd faces high road mortality, averaging around 80 mortalities from vehicles per year (Gagnon et al 2013). Despite the high incidence of elk-vehicle collisions along I-17, road crossings are generally prevented from the highway’s high traffic volumes.
These data provide the location of migration routes for elk (Cervus canadensis) in the Interstate 17 Herd in Arizona. They were developed using 106 migration sequences collected from a sample size of 47 adult elk comprising GPS locations collected every 3 hours.

Tags: animal-behavior, arizona, economy, environment, flagstaff, migration, migration-organisms, migratory-species, united-states, usgs-5f8db4c682ce32418791d50e
Organization: Department of the Interior
Black-tailed prairie dog movement and bait uptake data from 2013-2017 in Montana

Oral sylvatic plague vaccine baits (SPV) and placebo baits, each containing Rhodamine B dye biomarker, were distributed once annually from 2013-2016 on treated and non-treated paired plots from 2013-2016.  Black-tailed prairie dogs (BTPD) were live-trapped and permanently marked with passive integrated transponders and ear tags on 4 pairs of plots each year from 2013-2017 to provide capture/recapture data. Capture locations were recorded using global positioning systems. Hair and whisker samples were pulled from each prairie dog to assess bait uptake (i.e. consumption) using a florescent microscope to inspect the samples for Rhodamine B florescence.  
The first data set (CMR_MOVEMENT_DATA.csv) lists distances (meters) between  capture locations from a single prairie dog within a given year, with the data limited to prairie dogs with 2 or more capture locations (one distance measurement per pair of 2 locations per year). The second data set (CMR_BAIT_UPTAKE.csv) lists bait uptake outcomes for individual prairie dogs each year.
Funding was provided through the U.S. Fish and Wildlife Service, multiple USGS sources, grants from the Western Association of Fish and Wildlife Agencies, Montana Fish Wildlife and Parks and World Wildlife Fund.

Tags: biota, charles-m-russell-national-wildlife-refuge, cynomys, ecology, montana, phillips-county, prairie-dog, usgs-609bfe1dd34ea221ce39b60c
Organization: Department of the Interior