AndreaBozzo/ceres-open-data-index huggingface dataset:
Coastwide Reference Monitoring System (CRMS) 2005, 2008, 2012, 2016 and 2018 Site 0403 land-water matrix

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring to determine the efficacy of these projects. 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. This dataset consists of a matrix of five land-water products (2005, 2008, 2012, YYYY and 2018).  The resulting matrix has 32 possible classes defined by the combination of land and water categories on those five dates.

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-611f132ed34e40dd9c01d1b9, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: 30-Year Average Annual Precipitation, 1971-2000

This tabular data set represents the 30-year (1971-2000) catchment-average total annual 
precipitation in millimeters multiplied by 100 compiled for every MRB_E2RF1 catchment 
of selected Major River Basins (MRBs, Crawford and others, 2006). The source data were 
the United States Average Monthly or Annual Minimum Precipitation, 1971 - 2000 raster 
data set produced by the PRISM Group at Oregon State University. 
		
The MRB_E2RF1 catchments are based on a modified version of the Environmental 
Protection Agency's (USEPA) ERF1_2 and include enhancements to support national 
and regional-scale surface-water quality modeling (Nolan and others, 2002; Brakebill 
and others, 2011).
		
Data were compiled for every MRB_E2RF1 catchment for the conterminous United States 
covering New England and Mid-Atlantic (MRB1), South Atlantic-Gulf and Tennessee (MRB2),
the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy (MRB3), the Missouri (MRB4), 
the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf (MRB5), the Rio Grande, Colorado, 
and the Great basin (MRB6), the Pacific Northwest (MRB7) river basins, and California (MRB8).

Tags: 30-year-average-annual-maximum-temperature, cali, california, catchment, cogb, conterminous-united-states, environment, geoscientificinformation, glmr, great-lakes-ohio-upper-mississippi-and-souris-red-rainy, inlandwaters, lmtg, lower-mississippi-arkansas-white-red-and-texas-gulf, major-river-basins, missouri, mori, mrb, mrb1, mrb2, mrb3, mrb4, mrb5, mrb6, mrb7, mrb8, mrb_e2rf1, mrb_e2rf1ws, nawqa, nema, new-england-and-mid-atlantic, pacific-northwest, panw, rio-grande-colorado-and-great-basin, sagt, south-atlantic-gulf-and-tennessee, sparrow, usgs-79cfadf4-aab5-48a3-82e6-2fc2ee32cff5
Organization: Department of the Interior
Aerial imagery from UAS survey of the Liberty Island Conservation Bank Wildlands restoration site, Sacramento-San Joaquin Delta, California, 2018-10-23

This portion of the data release presents the raw aerial imagery collected during the Unmanned Aerial System (UAS) survey of the Liberty Island Conservation Bank Wildlands restoration site in the Sacramento-San Joaquin Delta on 2018-10-23. The imagery was acquired using two Department of Interior owned 3DR Solo quadcopters fitted with Ricoh GR II digital cameras featuring global shutters. The cameras were mounted using a fixed mount on the bottom of the UAS and oriented in a roughly nadir orientation. The UAS were flown on pre-programmed autonomous flight lines at an approximate altitude of 120 meters above-ground-level, resulting in a nominal ground-sample-distance (GSD) of 3.2  centimeters per-pixel. The flight lines were oriented roughly east-west and were spaced to provide approximately 66 percent overlap between images from adjacent lines. The cameras were triggered at 1 Hz using a built in intervalometer. After acquisition, the images were renamed to include flight number and acquisition time in the file name. The coordinates of the approximate image acquisition location were added ('geotagged') to the image metadata (EXIF) using the telemetry log from the UAS onboard single-frequency autonomous GPS. The image EXIF were also updated to include additional information related to the acquisition. Although the images were recorded in both JPG and camera raw (Adobe DNG) formats, only the JPG images are provided in this data release. The data release includes a total of 3,567 JPG images. Images from takeoff and landing sequences were not used for processing, and have been omitted from the data release. The images from each flight are provided in a zip file named with the flight number.

Tags: aerial-photography, altimetry, bathymetry-and-elevation, cache-slough, chmrp, coastal-and-marine-hazards-and-resources-program, elevation, fragile-ecosystems, geomorphology, geoscientificinformation, geospatial-datasets, image-mosaics, liberty-island, pacific-coastal-and-marine-science-center, pcmsc, photography, remote-sensing, sacramento-river, sacramento-river-deep-water-ship-channel, sacramento-san-joaquin-delta, san-joaquin-river, state-of-california, structure-from-motion, topographic-maps, topography, u-s-geological-survey, uas, unmanned-aerial-system, usgs, usgs-5eb210e782cefae35a29c45b, wetland-restoration
Organization: Department of the Interior
Magnetotelluric data from Missouri, Arkansas, Tennessee, Illinois, and Kentucky, 2016-2019, station mrv018

This dataset consists of 127 wideband and 21 long-period magnetotelluric (MT) stations collected from 2016-2019 across parts of Missouri, Arkansas, Tennessee, Illinois, and Kentucky. The U.S. Geological Survey acquired these data as part of regional investigations into the geologic and tectonic framework of the area and to support mineral resource and geologic hazard investigations. These data have been used to generate a 3D regional conductivity model of the area. Files included in this publication include measured electric- and magnetic-field time series as well as estimated impedance and vertical-magnetic field transfer functions. The data included here are for MT station mrv018 in the Mississippi River Valley survey region. A shapefile with station information for all stations in this dataset is available at https://doi.org/10.5066/P9F7HFH7.

Tags: apparent-resistivity, arkansas, conductivity, electromagnetic-surveying, exploration, geologic-structure, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, gggsc, illinois, impedance, kentucky, magnetic-field-earth, magnetotelluric-surveying, magnetotellurics, mineral-resources, mineral-resources-program, mississippi-embayment, missouri, mrp, mt, ozark-plateau, phanerozoic, phase, precambrian, quaternary, reelfoot-rift, saint-francois-mountains, tectonics, tennessee, time-series, tipper, usgs-5f91d1de82ce720ee2d33bf6
Organization: Department of the Interior
Cyanotoxin, chlorophyll-a, and cyanobacterial toxin genetic data for samples collected at eleven large river sites throughout the United States, June through October 2018

This U.S. Geological Survey (USGS) data release provides discretely measured cyanotoxin, chlorophyll-a, and cyanobacterial toxin genetic data for samples collected from eleven large river sites throughout the United States, from June through October 2018. Discrete water-quality samples were analyzed for cyanotoxins (anatoxin, cylindrospermopsin, microcystin, and saxitoxin), chlorophyll-a, and cyanobacterial toxin genetics as part of a National Water-Quality Assessment Project pilot study to describe cyanobacteria and cyanotoxin occurrence in the Nation's large rivers.

Tags: anac-gene, anatoxin, california, chattahoochee-river-near-whitesburg-ga, chlorophyll-a, connecticut, connecticut-river-at-thompsonville-ct, cyanotoxin-genetics, cyanotoxins, cylindrospermopsin, cyra-gene, delaware-river-at-trenton-nj, discretely-measured, dolichospermum-formerly-anabaena, enzyme-linked-immunosorbent-assay-elisa, georgia, kansas, kansas-river-at-de-soto-ks, maryland, mcye-gene, microcystin, microcystis, minnesota, mississippi-river-at-hastings-mn, missouri, missouri-river-at-hermann-mo, new-jersey, ohio, ohio-river-at-cannelton-dam-at-cannelton-in, oregon, pheophytin-a, phytoplankton-community-composition, planktothrix, quantitative-polymerase-chain-reaction-qpcr, sacramento-river-at-freeport-ca, saxitoxin, susquehanna-river-at-conowingo-md, sxta-gene, texas, trinity-river-below-dallas-tx, united-states, usgs-601827aad34edf5c66efffc8, usgs-station-id-01184000, usgs-station-id-01463500, usgs-station-id-01578310, usgs-station-id-02338000, usgs-station-id-03303280, usgs-station-id-05331580, usgs-station-id-06892350, usgs-station-id-06934500, usgs-station-id-08057410, usgs-station-id-11447650, usgs-station-id-14211720, water-quality, willamette-river-at-portland-or
Organization: Department of the Interior
Stream-stage Dataset at Josephine Canyon near Tumacácori, Arizona, geographic NAD83 (Water Years 2016–2017)

This dataset contains stream-stage data for Josephine Canyon near Tumacácori, Arizona (JC1).  The pressure transducer was housed in a crest-stage pipe mounted to the bridge pier of Pendleton Drive. The data were recorded using non-vented Solinst Levelogger for the period of October 07, 2015 to December 31, 2016. The data are logged continuously at a 15-minute interval and manually downloaded. Data were corrected with the atmospheric pressure collected from a Solinst Barologger located at SC14 and checked for erroneous data.

Tags: dna, e-coli, escherichia-coli, stage, tumacacori-national-historical-park, upper-santa-cruz-river, usgs-59554d80e4b04e08be53290c, water, water-quality
Organization: Department of the Interior
Canal Balance Annual Acreage

This dataset contains annual irrigated acreage for New Mexico and Texas from 1938 through 2010 for six canal service units used in the Lower Rio Grande Basin groundwater flow model (SSPA, 2007). Irrigated acreage values were extracted from the New Mexico Office of the State Engineer’s (NMOSE’s) Canal spreadsheet, version 11.2 (Barroll, P., NMOSE, written commun., 2011).

Tags: aquifer, caballo-reservoir, chihuahua, el-paso, elephant-butte-reservoir, geology, groundwater-pumping, groundwater-system, hydraulic-properties, hydrogeology, hydrology, hydrostratigraphy, las-cruces, new-mexico, rio-grande, texas, transboundary, usgs-5ba03adbe4b08583a5c27a16
Organization: Department of the Interior
Histopathology of bearded dragons (Pogona vitticeps) exposed to Nannizziopsis guarroi

This work is part of a study demonstrating that the fungus Nannizziopsis guarroi is the cause of the disease known as yellow fungus disease in bearded dragons (Pogona vitticeps) by fulfilling Koch’s postulates. In this study, bearded dragons were exposed to N. guarroi to assess gross and microscopic lesion development and the ability to re-culture the fungus from infected sites. At euthanasia, skin and internal organs were collected and fixed in 10% neutral buffered formalin for histopathological assessment. Slides were processed and stained with periodic acid-Schiff as per standard procedure (Luna 1968).  Skin from exposed and control animals was assessed via light microscopy for the following parameters: type, severity, and distribution of histopathological processes; presence and location of fungal hyphae; and presence of fungal conidia.
(Luna LG. 1968.  Manual of histologic staining methods of the armed forces institute of pathology, 3rd edn. McGraw-Hill, New York, NY.)

Tags: bearded-dragon, biota, kochs-postulates, nannizziopsis-guarroi, usgs-5f5109d782ce4c3d123858ab, yellow-fungus-disease
Organization: Department of the Interior
2010-2017 zooplankton data from whole water-column tows in Lakes Michigan and Huron

This data release includes zooplankton data collected from a collaborative effort for Environmental Protection Agency’s Cooperative Science and Monitoring Initiative (CSMI). Zooplankton surveys were conducted during the growing season, from late April to early November, in two Lake Michigan transects in 2010, two Lake Huron transects in 2012, eight Lake Michigan transects in 2015, and nine Lake Huron transects in 2017. Zooplankton samples were collected by whole water-column tows at two or three stations in different bottom-depth categories (i.e., shallow, middle, and deep) in each of the transects. Due to the difference in bathymetry, some transects did not have a deep station. The shallow and middle stations have bottom depths of 11-27 m and 40-51 m, respectively, in both Lakes Michigan and Huron. As Lake Michigan is generally deeper than Lake Huron, the deep stations have bottom depths of 85-112 m in Lake Michigan and 64-90 m in Lake Huron. The dataset includes tables for sampling operation, zooplankton count, and zooplankton individual size, which may be used to derive zooplankton count or biomass per volume.

Tags: biota, community-ecology, environment, freshwater-ecosystems, inland-fishery-resources, inlandwaters, lake-huron, lake-michigan, usgs-6210f386d34e6c7e83bb85ab, zooplankton
Organization: Department of the Interior
Pocahontas No. 3 Coal Bed Point Data (Geology) in West Virginia and Virginia

This dataset is a point coverage of the Pocahontas No. 3 coal with attributes
on data location, minable thickness, and elevation,
in feet. The file is also found as an ASCII Appendix
of Chapter H, Disc 1 found elsewhere in Professional Paper 1625-C.

Tags: appalachians, appbasincoal, bituminous, buchanan-county, coal, coal-extent, coal-resources, dickenson-county, eastern-energy-team, energy, fayette-county, greenbrier-county, logan-county, lower-pennsylvanian, mcdowell-county, mercer-county, mingo-county, nca2000, outcrop, pennsylvanian, pocahb, pocahontas-coal, pocahontas-formation, power, raleigh-county, resources, russell-county, scott-county, summers-county, tazewell-county, united-states, usgs, usgs-60ac1bc3d34ea221ce52048c, virginia, virginia-department-of-mines-minerals-and-resources, virginia-division-of-mineral-resources, west-virginia, west-virginia-geologic-and-economic-survey, wise-county, wyoming-county
Organization: Department of the Interior
Surface water chemistry from the San Juan River watershed, 2021-2022, Four Corners USA

This study was done because elevated concentrations of metals including aluminum, arsenic, and lead were identified by Navajo Nation EPA staff in the San Juan River from below the Navajo Dam, through the Navajo Nation to Mexican Hat, Utah in the Four Corners Region of the United States (Colorado, Arizona, New Mexico, Utah). An interdisciplinary team applied approaches and principles of geology, geochemistry, geomorphology, hydrology, and statistics to gain a better understanding of the tributaries supplying the source(s) of metals to the San Juan River.  Water samples were collected in single-siphon samples and by grab sample at 59 ephemeral and perennial tributaries to the San Juan River in 2021 and 2022. Eighteen surface water sites along the San Juan River were sampled as grab samples in 2021 and 2022 and fifteen sites along the San Juan River were sampled by equal width increment and composited in a churn during a baseflow synoptic sampling campaign in February 2021. A total of 765 unfiltered and 282 filtered samples were analyzed for major and trace cations.
All samples were analyzed through the USGS Analytical Chemistry Laboratory in Denver, Colorado (Taggart, 2022; USGS, 2023 Method 37).

Tags: biota, four-corners, navajo-nation, san-juan-river, surface-water, usgs-653806ffd34ee4b6e05bb9cb, water-chemistry
Organization: Department of the Interior
Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T8 from 2005

Orthorectified image from aerial photograph of wetland T8 in the Cottonwood Lake Study Area, Stutsman County, North Dakota. This image is part of a collection of photographs of the study area acquired during July and early August from 1975 to 2015.

Tags: aerial-photography, chase-lake-wetland-management-districtgtstutsman-county-waterfowl-production-areagteddy, chase-lake-wetland-management-districtgtstutsman-county-waterfowl-production-areagtshuler, cottonwood-lake-study-area, earth-sciencegtbiospheregtecosystemsgtaquatic-ecosystemsgtwetlands, earth-sciencegtbiospheregtecosystemsgtterrestrial-ecosystemsgtwetlands, environment, image-collections, imagerybasemapsearthcover, inlandwaters, north-dakota, northern-great-plains, platformgtaerial-photographs, prairie-pothole-region, stutsman-county, surface-water-non-marine, united-states-of-america, usgs-588f83e9e4b072a7ac08c31a, wetland-ecosystems
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2005, 2008, 2012, 2016, 2018, and 2021 Site 0224 land-water matrix

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring to determine the efficacy of these projects. 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. This dataset consists of a matrix of six land-water products (2005, 2008, 2012, 2016, 2018, and 2021).  The resulting matrix has 64 possible classes defined by the combination of land and water categories on those six dates.

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-64dfbb5ed34e5f6cd553c09c, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Nutrient, Bacteria, Ammonia, &amp; TSS Annual Loads; Green &amp; Gray Infrastructure; Land Cover Change; and Climate Data in the Gwynns Falls Subwatersheds, Baltimore, MD, 1998-2016

This metadata record document contains 7 tables used to assess factors influencing long-term water quality changes in the Gwynns Falls, Baltimore, MD, 1998-2016. Included are daily discharge measurements (source: United States Geological Survey (USGS), 2016), weekly nutrient sampling concentrations (source: Baltimore Ecosystem Study (BES), 2015), and approximately monthly bacteria, ammonia, TKN, and TSS sampling concentrations (source: Baltimore City Department of Public Works (DPW), 2016; Baltimore County Department of Environmental Protection and Sustainability (DEPS), 2016). Annual loads were calculated for each Gwynns Falls subwatershed from the discharge measurements and sampling concentrations. Green infrastructure data (Best Management Practices (BMPs), rain barrels) and gray infrastructure data (Sanitary Sewer Overflows (SSOs), sewer repairs, water main breaks &amp; leaks) were obtained from Baltimore City DPW and Baltimore County DEPS and summarized annually for each Gwynns Falls subwatershed. Land cover change data (source: National Land Cover Dataset (NLCD), 2011 and 2015) was created for each Gwynns Falls subwatershed over the time period of 2001-2011. Regional climate data (source: National Oceanic and Atmospheric Administration (NOAA), 2016) was obtained from the Baltimore Washington International (BWI) Airport meteorological station.

Tags: baltimore, boundaries, environment, geoscientificinformation, imagerybasemapsearthcover, inlandwaters, maryland, structure, usgs-5a2055afe4b09fc93ddbae6f
Organization: Department of the Interior
Frequency Domain Electromagnetic (FDEM) Surveys Collected in Fredericktown, Missouri, June 2018

In June 2018, U.S. Geological Survey (USGS) in cooperation with the U.S. Environmental Protection Agency (EPA) collected geophysical measurements to help evaluate the suitability of a proposed landfill site for disposing mine-waste materials in Fredericktown, MO. Frequency domain electromagnetic (FDEM) induction data were collected above the land surface along the cleared paths through the proposed disposal cell locations. The data were collected with a hand-held, multi-frequency antenna carried approximately 1 meter (m) above the land surface at walking speeds using a multi-frequency tool. All unprocessed and processed data including the in-phase and quadrature components in parts per million, electrical conductivity (EC) in milliSiemens per meter (mS/m), and magnetic susceptibility in parts per thousand are served in this data release. In addition, the data were inverted to generate depth dependent estimates of conductivity along the profiles. An analysis of the depth of investigation indicated the FDEM reliably estimated conductivity values to depths of about 3 m below land surface. These output data are also served in this data release.

Tags: electromagnetic-surveying, environment, geophysics, geoscientificinformation, groundwater, resistivity, usgs-5cb777f1e4b0c3b0065d7d34
Organization: Department of the Interior
Streamgage Streamflow with Precipitation and Runoff Indication

The datasets herein are the observed instantaneous values of streamflow for the titled U.S. Geological Survey streamgage with precipitation metadata added.  Days where streamflow is directly affected by precipitation and the day afterwards is identified with a "B".  Two days after a precipitation event is identified with a "C".  If the streamflow was affected by snow or ice, the data is identified with a "D".  Any data that is not precipitation influenced is identified with an "A".  This metadata was applied on the basis of numerous rain gages in the vicinity of the streamgage and radar images obtained from the National Oceanic and Atmospheric Administration website https://www.ncdc.noaa.gov/data-access/radar-data/radar-map-tool (accessed various times throughout the project).

Tags: beaver-county-pa, butler-county-pa, fayette-county-pa, greene-county-pa, streamflow-data, streamflow-modeling, usgs-5ba52c3ae4b08583a5c9d2b8, washington-county-pa
Organization: Department of the Interior
Stream Segments Used With the Precipitation Runoff Modeling System for Hydrologic Simulations of the Upper Chattahoochee River Basin in Northeast Georgia, United States

The stream segments available here were extracted from a previous application of the Precipitation Runoff Modeling System (PRMS) in the Apalachicola-Chattahoochee-Flint River Basin by LaFontaine and others (2013). A Geographic Information System (GIS) file for the stream segments is provided as a shapefile with attribute seg_id identifying the numbering convention used in the PRMS models of the upper Chattahoochee River Basin in northeast Georgia. These GIS files represent the watershed area upstream of U.S. Geological Survey streamgage 02335000.

Tags: chattahoochee, georgia, hydrology, mathematical-modeling, usgs-5914822ae4b0e541a03e9946
Organization: Department of the Interior