AndreaBozzo/ceres-open-data-index huggingface dataset:
Vertical Profiles of Water Quality and Light in Owasco, Seneca, and Skaneateles Lakes, Finger Lakes Region, New York, 2019-2020

Field data for vertical profiles of light and water quality parameters were collected biweekly between May and November in 2019 and June and October in 2020 in association with continuous monitoring platforms in Owasco, Seneca, and Skaneateles Lakes, Finger Lakes Region, New York.  Water quality profiles were collected using Yellow Spring Instruments (YSI) EXO2 sondes and light profiles were collected using a LI-COR Photosynthetically Active Radiation (PAR) sensor in 2019 and Onset HOBO Pendant Temperature and Light data loggers in 2020. This data release includes all measured environmental parameters included in the analysis. This data release was produced in compliance with the open data requirements as a way to make scientific products associated with USGS research efforts and publications available to the public. There are four data files included in this data release: one file containing light profile data from 2019, one file containing light profile data from 2020, one file containing EXO profile data from 2019, and one file containing EXO profile data from 2020.

Tags: biota, chlorophyll-a, cyanobacteria, dissolved-oxygen, environment, finger-lakes, fluorescent-dissolved-organic-matter-fdom, freshwater-ecosystems, illuminance, inlandwaters, light, limnology, new-york, owasco-lake, par, ph, phycocyanin, seneca-lake, skaneateles-lake, specific-conductance, surface-water-quality, turbidity, united-states, usgs-5ff36f30d34ea5387df02d19, vertical-profile, water-quality, water-temperature
Organization: Department of the Interior
Humpback Chub (Gila cypha) capture history data (2009-2017), and code for mark-recapture analysis and stochastic matrix projections, Colorado River and Little Colorado River, Arizona

These data represent capture histories for humpback chub (Gila cypha) that spawn in the Little Colorado River (LCR) from 2009-2017.  Capture histories pertain to size class (&lt;150mm total length [TL], 150-199mm TL, 200-249mm TL, and &gt;250mm TL) and spatial location (the juvenile chub monitoring [JCM] reach in the Colorado River [63.4-65.0 river miles downstream of Lees Ferry], lower LCR [0-13.56 km upstream of Colorado River confluence], and upper LCR [13.57-17.9 km upstream of Colorado River confluence]).

Tags: arizona, biota, capture-histories, colorado-river, conservation-action, decision-making, gila-cypha, humpback-chub, lees-ferry, little-colorado-river, lower-colorado-river, multistate-model, natural-resource-management, pit-tag, size-class, spatial-location, translocation, translocation-threatened-and-endangered-species, usgs-5ff33d76d34ea5387df02af7
Organization: Department of the Interior
LANDFIRE Remap Scott and Burgan Fire Behavior Fuel Model (FBFM40) Marshall Islands

LANDFIRE’s (LF) 2016 Remap (Remap) Scott and Burgan Fire Behavior Fuel Model 40 (FBFM40) product represents distinct distributions of fuel loadings found among surface fuel components (live and dead), size classes, and fuel types (Scott &amp; Burgan 2005). The fuel models are described by the most common fire carrying fuel type (grass, brush, timber, or slash), loading and surface area-to-volume ratio by size class and component, fuel bed depth, and moisture of extinction. FBFM40 contains more fuel models for every fuel type than Anderson Fire Behavior Fuel Model 13 (FBFM13), and the number of fuel models representing relatively High dead fuel moisture content is increased. In FBFM40 fuel models with an herbaceous component are dynamic, to simulate curing, rather than remaining constant. 
LF Remap used vegetation products and 10-years of disturbance data to create Fuel Vegetation Type (FVT), Fuel Vegetation Cover (FVC), and Fuel Vegetation Height (FVH) for disturbed areas to represent pre-disturbance scenarios in FBFM40. A combination of pre-disturbance and non-disturbance Existing Vegetation Type (EVT) are used to assign surface fuel models. FBFM40 was developed using the most recent 10 years of Annual Disturbance products and is a capable fuels product that calculates Time Since Disturbance (TSD) assignments for disturbed areas using an "effective year." For example, year 2020 fuels may be calculated for the year 2020. the new process considers all the existing disturbances included in LF Remap and adjusts the TSD for these to the effective year (2020 in the example), making the products "2020 capable fuels." More information about capable fuels can be found at https://www.landfire.gov/lf_remap.php.

Tags: biota, fbfm, fbfm40, fire-behavior-fuel-model-40, fires, geographic-information-systems, geospatial-datasets, hazard-preparedness, ia, image-collections, imagerybasemapsearthcover, insular-areas, landfire-2016-remap, lf-2016-remap, marshall-islands, oconus, raster-digital-data, remote-sensing, scott-and-burgan-fire-behavior-fuel-model, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-5ff2e15a-eda9-4600-98d7-b7c65116e4cc
Organization: Department of the Interior
Metrics of individual and demographic stress in the invasive Brown treesnake on Guam from 1992-2018

This project contains five datasets which are reported in "Understanding metrics of stress in the context of invasion history: the case of the brown treesnake (Boiga irregularis)". Overall, this dataset describes metrics of individual and demographic stress (baseline and 1 hour post-capture corticosterone, body condition, and bacterial killing ability) in the invasive snake Boiga irregularis on Guam collected in intervals of 10-15 years from 1992 to 2018. It also contains corticosterone values obtained from different methods of measuring hormones ( radioimmunoassay; RIA versus enzyme immunoassay; EIA) for 2018 data.
The first dataset is from the file "boiga_18cort_method.csv", which contains baseline and 1 hour-after-capture blood plasma corticosterone values measured with two methods (enzyme immunoassay and radioimmunoassay) from Boiga irregularis captured on Guam in 2018. This dataset is used in Model 1 of the publication.
The second dataset "boiga_bodycond_submit.csv" contains morphometric data for Boiga irregularis captured on Guam in 1991-1993, 2003, and 2018. The dataset  is used to calculate the body condition index used throughout the publication.
The third dataset is from the file "boiga_all_baseline_submit.csv", which contains baseline blood plasma corticosterone values, basic morphometrics, body condition, and capture information for Boiga irregularis on Guam from 1992-2018. Corticosterone from 2018 is reported for two methods: radioimmunoassay and enzyme immunoassay. This dataset is used for models 2 and 3 of the publication.
The fourth dataset is from the file "boiga_base_1h_submit.csv", which contains baseline and 1-hour-after-capture blood plasma corticosterone data for Boiga irregularis captured on Guam in 2003 and 2018. The dataset also includes capture data, morphometrics, and body condition for the animals. This dataset is used for model 4 of the publication.
The fifth and final dataset is "boiga_bacterialkilling_submit.csv", which reports the baseline and 1-hour-after-capture blood plasma corticosterone and bacterial killing ability (measured as the plasma dilution at which 50% of bacteria was killed). This dataset was used in model 5 of the publication.

Tags: biota, ecology, invasive-species, physiology, usgs-5fee1f65d34ea5387defd9b0
Organization: Department of the Interior
Updated vegetation map of Big Oaks National Wildlife Refuge using 2019 acquired imagery

Big Oaks National Wildlife Refuge (NWR) is a 50,000 acre refuge overlaid on portions of the former Jefferson Proving Ground (JPG) in Jefferson, Jennings, and Ripley counties, Indiana. Beginning in 1996, the U.S. Fish and Wildlife Service (USFWS) began managing the area. Big Oaks NWR was established in June 2000 as an “overlay” Refuge through a 25-year real estate permit from the U.S. Army. As an overlay refuge, the U.S. Army retains ownership and the USFWS manages the property as Big Oaks NWR. Big Oaks NWR hosts a variety of different habitat types, providing for a diversity of wildlife species. The refuge is unique in that it contains one of the largest contiguous forest blocks and grassland complexes in southeast Indiana. Big Oaks has been recognized as a Globally Important Bird Area. Grasslands at Big Oaks NWR host many species which while once common but are now rare in Indiana. There is a large nesting population of Henslow’s sparrows as well as the Kirtland’s snakes and crawfish frogs, which all depend on grasslands at Big Oaks. The flatwoods at Big Oaks NWR is another important habitat type, which host several types of rare or endemic salamanders. While Big Oaks NWR is a refuge which encompasses much diversity, it did not have an up-to-date, detailed, and comprehensive vegetation map of its habitats. Vegetation mapping will help Big Oaks NWR monitor and record changes across the landscape. It will also serve as a baseline to track future changes on the refuge related to habitat restoration projects, flooding and drought, plantings, and invasive species treatments.

Tags: big-oaks-national-wildlife-refuge, flatwoods, grasslands, image-interpretation, indiana, map, u-s-fish-and-wildlife-service, united-states, usgs-5fecee80d34ea5387defd7ff, vegetation-type
Organization: Department of the Interior
Sonobuoy Seismic and Navigation Data Collected Using Sercel GI Guns and Ultra Electronics Seismic Sonobuoys During the Mid-Atlantic Resource Imaging Experiment (MATRIX), USGS Field Activity 2018-002-FA

In summer 2018, the U.S. Geological Survey partnered with the U.S Department of Energy and the Bureau of Ocean Energy Management to conduct the Mid-Atlantic Resources Imaging Experiment (MATRIX) as part of the U.S. Geological Survey Gas Hydrates Project. The field program objectives were to acquire high-resolution 2-dimensional multichannel seismic-reflection and split-beam echo sounder data along the U.S Atlantic margin between North Carolina and New Jersey to determine the distribution of methane gas hydrates in below-sea floor sediments and investigate potential connections between gas hydrate dynamics and sea floor methane seepage. MATRIX field work was carried out between August 8 and August 28, 2018 on the research vessel Hugh R. Sharp and resulted in acquisition of more than 2,000 track-line kilometers of multichannel seismic-reflection and colocated split-beam echo sounder data, along with wide-angle seismic reflection and refraction data from 63 expendable sonobuoy deployments.

Tags: atlantic-ocean, boem, bureau-of-ocean-energy-management, cape-hatteras, cmhrp, coastal-and-marine-hazards-and-resources-program, delaware, department-of-energy, department-of-the-interior, doe, doi, expendable-sonobuoy, field-activity-number-2018-002-fa, generator-injector-airgun, geoscientificinformation, geospatial-datasets, hrs1807, image, location, marine-geology, marine-geophysics, maryland, matrix, mid-atlantic-margin, mid-atlantic-resources-imaging-experiment, navigation, navigational-data, new-jersey, north-carolina, oceans, png, r-v-hugh-r-sharp, sea-floor, seafloor, seg-y, seismic-profile, seismic-reflection, seismic-reflection-methods, seismic-refraction, sercel, shapefile, sonobuoy-profile, u-s-economic-exclusive-zone, u-s-geological-survey, ultra-electronics, united-states-of-america, usgs, usgs-5fecb0c1d34ea5387defd613, virginia, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Fault data collected between 1996 and 2019 from the Buffalo River watershed area, northern Arkansas

Information on the locations and characteristics of faults were collected while conducting fieldwork between 1996 and 2019 in support of geologic mapping in the Buffalo River watershed area of northern Arkansas. A total of 1274 entries on faults were recorded at 452 sites. The observations associated with faults include seven categories of increasing completeness of information.

Tags: arkansas, buffalo-national-river, deformation-band, dolostone, fault, limestone, mississippian, northern-arkansas, ordovician, ozarks, pennsylvanian, sandstone, sedimentary-rock, shale, usgs-5fec969bd34ea5387defd5be
Organization: Department of the Interior
Horizontal-to-Vertical Spectral Ratio (HVSR) Soundings and Depth-to-Bedrock Data for the Owasco Inlet Watershed, Cayuga and Tompkins Counties, New York 2016

In 2016, the U.S. Geological Survey, in cooperation with the New York State Department of Environmental Conservation, collected horizontal-to-vertical seismic soundings at 31 locations in the Owasco Inlet valley, Cayuga and Tompkins Counties, New York to help determine thickness of the unconsolidated deposits.
The HVSR technique, commonly referred to as the passive-seismic method, is used to estimate the thickness of unconsolidated sediments and the depth to bedrock (Lane and others, 2008; Fairchild and others, 2013). The passive-seismic method uses a single, broad-band three-component (two horizontal and one vertical) seismometer to record ambient seismic noise. In areas that have a strong acoustic contrast between the bedrock and overlying sediments, the seismic noise induces resonance at frequencies that range from about 0.3 to 40 Hz. The ratio of the average horizontal-to-vertical spectrums produces a spectral-ratio curve with peaks at fundamental and higher-order resonance frequencies. The spectral ratio curve (the ratio of the averaged horizontal-to-vertical component spectrums) is used to determine the fundamental resonance frequency that can be used along with an average shear-wave velocity or a power-law regression equation to estimate sediment thickness and depth to bedrock (Lane and others, 2008; Brown and others, 2013; Fairchild and others, 2013; Chandler and others, 2014; Johnson and Lane, 2016; and Heisig and Fleisher, 2022).
The HVSR data presented in this data release were collected at each site for 30 minutes using a Tromino Model TEP-3C three-component seismometer. The data were processed with Grilla 2012 version 6.2 software to: 1) remove anthropogenic noise, 2) convert the time-domain data to frequency domain, 3) compute and plot the spectral ratio curve, and 4) determine the resonance frequency.
This data release presents the resonance frequency peaks identified from the HVSR measurements. Raw and processed HVSR data for each HVSR measurement are presented in the attached files. The HVSR data-collection sites are designated by a county sequential numbering system (CYHVSR1, TMVSR64, etc. where "CY" indicates Cayuga County and "TM" indicates Tompkins County).

Tags: aquifer, cayuga-county, groton, groundwater, locke, moravia, new-york, owasco-lake, seismology, tompkins-county, united-states, usgs-5fec9633d34ea5387defd5b4
Organization: Department of the Interior
Data to Incorporate Water Quality Analysis into Navigation Assessments as Demonstrated in the Mississippi River Basin

This data release includes estimates of annual and monthly mean concentrations and fluxes for nitrate plus nitrite, orthophosphate and suspended sediment for nine sites in the Mississippi River Basin (MRB) produced using the Weighted Regressions on Time, Discharge, and Season (WRTDS) model (Hirsch and De Cicco, 2015). It also includes a model archive (R scripts and readMe file) used to retrieve and format the model input data and run the model. Input data, including discrete concentrations and daily mean streamflow, were retrieved from the National Water Quality Network (https://doi.org/10.5066/P9AEWTB9). Annual and monthly estimates range from water year 1975 through water year 2019 (i.e. October 1, 1974 through September 30, 2019). Annual trends were estimated for three trend periods per parameter. The length of record at some sites required variations in the trend start year. For nitrate plus nitrite, the following trend periods were used at all sites: 1980-2019, 1980-2010 and 2010-2019. For orthophosphate, the same trend periods were used but with 1982 as the start year instead of 1980. For suspended sediment, 1997 was used as the start year for the upper MRB sites and the St. Francisville (MS-STFR) site, but 1980 was used for the rest of the sites. All parameters and sites used 2010 as the start year for the last 10-year trend period.
Reference:
Hirsch, R.M., and De Cicco, L.A., 2015, User guide to Exploration and Graphics for RivEr Trends (EGRET) and dataRetrieval: R packages for hydrologic data (version 2.0, February 2015): U.S. Geological Survey Techniques and Methods book 4, chap. A10, 93 p., doi:10.3133/tm4A10

Tags: atchafalaya-river, illinois-river, iowa-river, mississippi-river, mississippi-river-basin, missouri-river, nitrate-plus-nitrite, ohio-river, orthophosphate, suspended-sediment-concentration, usgs-5fec91a1d34ea5387defd5ac, water-quality, weighted-regressions-on-time-discharge-and-season
Organization: Department of the Interior
Temperature and light measurements along the water-depth profile of ponds in North Dakota, USA, 2019

This data release presents data that were collected as part of a larger effort to assess factors that regulate thermal stratification and mixing in small ponds. This work was part of an international collaborative effort with the Global Lake Ecological Observatory Network (GLEON). From May to October 2019, temperature and light were measured throughout the water-depth profile of two artificial ponds located near Jamestown, North Dakota. Meteorological and bathymetric data also were collected. The ponds, managed by the U.S. Geological Survey Northern Prairie Wildlife Research Center, are representative of the small inland wetlands of the Prairie Pothole Region of North America. Data from this collaborative study will be used to understand how small inland ponds differ from large lakes and coastal systems, specifically with regard to nutrient recycling, primary production, greenhouse gas emissions, and oxygen dynamics.

Tags: inlandwaters, jamestown, north-dakota, prairie-pothole-region, state-of-north-dakota, stutsman, stutsman-county, usgs-5fec8e63d34ea5387defd5a4, wetland-ecosystems
Organization: Department of the Interior
Nearshore groundwater seepage and geochemical data measured in 2015 at Guinea Creek, Rehoboth Bay, Delaware

Assessment of biogeochemical processes and transformations at the aquifer-estuary interface and measurement of the chemical flux from submarine groundwater discharge (SGD) zones to coastal water bodies are critical for evaluating ecosystem service, geochemical budgets, and eutrophication status. The U.S. Geological Survey and the University of Delaware measured rates of SGD and concentrations of dissolved constituents, including nitrogen species, from recirculating ultrasonic and manual seepage meters, and in nearshore groundwater, on the southern shore of Guinea Creek, an estuarine tributary of Rehoboth Bay, in Millsboro, Delaware, in June, August, and October of 2015. A novel oxygen- and light-regulated seepage meter and a standard seepage meter were deployed as an adjacent pair and sampled at 0.5- to 2-hour intervals across the majority or entirety of single tidal cycles (8 to 12 hours). SGD rate was measured within an attached collection bag (0.5- to 2-hour intervals), or with an ultrasonic flow sensor (1-second intervals). Groundwater samples were collected at multiple depths (5 to 83 centimeters) in shore-perpendicular transects extending across the nearshore subtidal SGD zone. Constituents and other parameters measured in seepage meters and groundwater included: dissolved oxygen, salinity, pH, oxidation/reduction potential, temperature, nitrate, ammonium, phosphate, dissolved organic and inorganic carbon, stable isotopic ratios of carbon species, trace elements, and alkalinity. These data can be used to evaluate biogeochemical conditions and extent of chemical transformation in the upper coastal aquifer and surface sediments and to calculate fluxes of nitrogen and other constituents carried by SGD across the aquifer-estuary interface.

Tags: biogeochemical-cycling, delaware, delmarva-peninsula, dissolved-organic-carbon, dissolved-oxygen, environment, eutrophication, geochemistry, geoscientificinformation, groundwater-chemistry, groundwater-seepage, guinea-creek, millsboro, nitrogen, rehoboth-bay, salinity, trace-elements, united-states, usgs-5fec8c1ed34ea5387defd59d, water-chemistry, water-quality
Organization: Department of the Interior
Isotopic data for soil cores collected during 2000 from Sand Lake National Wildlife Refuge, South Dakota

A study was conducted to assess the vertical accretion of sediment in the Mud Lake impoundment of Sand Lake National Wildlife Refuge, located in Brown County, South Dakota. Sediment cores were collected from the Mud Lake impoundment during 2000 for determination of vertical accretion rates, which were estimated using cesium-137 and lead-210 isotopic dating techniques. These data directly support the associated publication “Sedimentation Rates in the Marshes of Sand Lake National Wildlife Refuge, South Dakota” which is referenced within the Metadata.

Tags: cesium, core-analysis, environment, field-inventory-and-monitoring, inlandwaters, isotopic-analysis, lead, radiometric-dating, radium, sand-lake-national-wildlife-refuge, sedimentation, south-dakota, united-states-of-america, usgs-5feb9072d34ea5387defbb6e
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Central California v3.1 flood hazard projections: average conditions in Monterey County

This data contains geographic extents of projected coastal flooding, low-lying vulnerable areas, and maximum/minimum flood potential (flood uncertainty) associated with the sea-level rise (SLR) and storm condition indicated.  
The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. Projections for CoSMoS v3.1 in Central California include flood-hazard information for the coast from Pt. Conception to the Golden Gate. Outputs include SLR scenarios of 0.0, 0.25, 0.5, 0.75, 1.0, 1.5, 2.0, 2.5, 3.0, and 5.0 meters; storm scenarios include background conditions (astronomic spring tide and average atmospheric conditions) and simulated 1-year/20-year/100-year return interval coastal storms. Methods and processes used in Central California are replicated from and described in O'Neill and others (2018). Please read metadata and inspect output carefully. Data are complete for the information presented.

Tags: beaches, central-california, central-california-coast, climate-change, climatologymeteorologyatmosphere, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-erosion, earth-sciences, effects-of-climate-change, erosion, extreme-weather, floods, hazards-planning, mathematical-modeling, monterey-county, ocean-waves, ocean-winds, oceans, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, sea-level-change, sea-level-rise, state-of-california, storm-surge, storms, u-s-geological-survey, usgs, usgs-5feb888cd34ea5387defbb0c, water-depth, waves, wind
Organization: Department of the Interior