AndreaBozzo/ceres-open-data-index huggingface dataset:
Paleomagnetic inclination data collected from Coreholes EREF-GW-1, STF-PIE-AQ-02, TAN 2336, USGS 138, USGS 139, USGS 142, USGS 143, USGS 144, USGS 145, USGS 147, and USGS 148A, located at and near the Idaho National Laboratory, Idaho

The U.S. Geological Survey, in cooperation with the U.S. Department of Energy, conducted a study on the magnetic record contained in subsurface basalts within coreholes at the Idaho National Laboratory.  Standard 1 inch paleomagnetism core samples were collected from 11 coreholes. The samples were characterized for polarity and average paleomagnetic inclinations over the entire length of the drill core. However, paleomagnetic declination data were not obtained due to the original azimuth of the drill cores not being preserved during drilling. The samples were extracted from individual lava flows based on identification of flow tops and bottoms in the drill core. These samples were then transported to the USGS Paleomagnetic Laboratory for sample preparation and analysis.  About 1800 plugs were collected and both positive and negative inclination values were found. The negative inclination values ranged from -33.4 to -77 degrees and the positive inclination values ranged from 31.2 to 77.5 degrees.

Tags: 432851113001401, 432906113025003, 433127112533201, 433358113042701, 433535112390801, 433736112341301, 433823112460401, 433837113010901, 434615112553501, 435053112423203, butte-county, eastern-snake-river-plain, environment, eref-gw-1, geology, idaho, idaho-national-laboratory, inl-lithologic-core-storage-library, inlpo, paleomagnetic, paleomagnetic-inclination, stf-pie-aq-02, tan-2336, usgs-138, usgs-139, usgs-142, usgs-143, usgs-144, usgs-145, usgs-147, usgs-148a, usgs-6543bd68d34ee4b6e05bec4d
Organization: Department of the Interior
San Bernard National Wildlife Refuge Texas: Using drone acquired 2019 imagery to classify sudden dieback vegetation in Coastal TX wetlands

Climatic extremes are becoming more frequent with climate change and have the potential to cause major ecological shifts and ecosystem collapse. With the ecosystem collapse these normally healthy marshes fragment and convert to open water. Along the northern Gulf of Mexico, a coastal wetland in the San Bernard National Wildlife Refuge in Texas suffered significant and acute vegetation dieback following Hurricane Harvey in 2017. Using Uncrewed Aerial Systems (UAS) we acquired high resolution imagery to identify plant types that may correlate with elevation levels.  Most plant species will fall into the succulents, graminoids, and Spartina alterniflora marsh types. These degraded marsh areas are classified into 5 categories: Dead Spartina (Stubble), Distichlis, Open Water, Spartina, and Succulents.

Tags: aquatic-ecosystems, biota, cane-bayou, coastal-aquatics, farming, floating-aquatics, louisiana, marsh-die-back, salvinia, san-bernard-national-wildlife-refuge, san-bernard-nwr, usgs-6543b766d34ee4b6e05bec2a, weevil, wetland-ecosystems
Organization: Department of the Interior
Ecological model support for the Biscayne Bay and Southeastern Everglades Restoration (BBSEER) Project, Round 3

Ecological models facilitate evaluation of alternative approaches to restore the Greater Everglades ecosystem. However, the provision of useful and accessible models is a challenge because there is often a disconnect between model output and its use by decision makers. Joint Ecosystem Modeling (JEM) meets this challenge by providing ecological model output tailored to management decisions; ecological models were developed by JEM to evaluate potential effects of restoration projects on natural resources in the impacted areas. 
The Biscayne Bay and Southeastern Everglades Ecosystem Restoration (BBSEER) Project is part of the Comprehensive Everglades Restoration Plan (CERP). A goal of BBSEER is to identify potential opportunities for ecosystem restoration of nearshore conditions in Biscayne Bay, Card Sound, Barnes Sound, the Model Lands, the Southern Glades, and other wetlands adjacent to these water bodies. The following model outputs were provided by JEM to aid in evaluations of alternative restoration plans:  (1) Marl Prairie Habitat Suitability Index, (2) Cape Sable Seaside Sparrow Helper, (3) American alligator Habitat Suitability Index (HSI), (4) Small-sized freshwater fish density, (5) Days since drydown (DSD) (6) (native) Florida apple snail population model (EverSnail), (7) EverWaders wading bird occupancy model, (8) Everglades Vulnerability Analysis (EVA) vegetation types, and (9) Cape Sable Seaside Sparrow Viewer. This is Round 3 of the BBSEER; JEM did not provide ecological model outputs for BBSEER Rounds 1 and 2.

Tags: biota, ecological-models, ecological-processes, everglades, florida, modeling, usgs-6543b2b3d34ee4b6e05bec12
Organization: Department of the Interior
5. Estimation of Vertical Groundwater/Surface-water Exchange Using the tempest1d Model: Data from Oxbow Ponds on the Lower Quillayute River, Summer 2022

This dataset includes all files used to model groundwater-surface water exchange at several oxbow ponds on the lower Quillayute River, WA in summer 2022. Sediment temperature data was collected continuously from July to September 2022 at multiple depths using temperature rods that were installed in the subsurface. Temperature data was collected at depths of 1, 4, 7, 11, and 50 cm using internally logging iButton temperature sensors (model DS1922L). 
Specific discharge across the sediment-water interface was estimated using the tempest1d model; a python-based model that solves a 1-dimensional heat flux equation (McAliley and others, 2022a,  McAliley and others, 2022b).  The tempest1d model was run at 13 different sites across three oxbow lakes within the study area. Estimates of hourly specific discharge values were determined throughout the deployment period. A negative specific discharge indicates upward flow (groundwater discharge) into the lake. 
This data release contains the formatted sediment temperature time series data for each site (Inputs.2022.zip), the files needed to run the model (Code.2022.zip), a summary of the specific discharge results at each site (Outputs.2022.zip), and a step-by-step guide on how to run the model at each location (html.output.2022.zip). Site locations are also provided as a .csv file (oxbow.sites.2020.csv). Additional details are provided in the main README file as well as specific readme files within each zip folder.. 
For further information about the tempest1d modeling approach, please refer to the following publications:
McAliley, W.A., Rey, D.M., and Day-Lewis, F.D., 2022a, Data release for tempest1d--Recursive Estimation of Vertical Groundwater/Surface-Water Exchange using Heat Tracing: U.S. Geological Survey data release, available at https://doi.org/10.5066/P99DBTKT.
McAliley, W. A., Day-Lewis, F. D., Rey, D., Briggs, M. A., Shapiro, A. M., and Werkema, D., 2022b, Application of recursive estimation to heat tracing for groundwater/surface-water exchange: Water Resources Research, v. 58, no. 6, e2021WR030443, available at https://doi.org/10.1029/2021WR030443.

Tags: downwelling, environment, groundwater-and-surface-water-interaction, hydrology, inlandwaters, la-push, quileute-indian-reservation, quillayute-river, sediment-temperature-modeling, sediment-vertical-temperature-profiles, specific-discharge, tempest1d, upwelling, usgs-6542e68cd34ee4b6e05be158, washington-state, water-temperature
Organization: Department of the Interior
4. Estimation of Vertical Groundwater/Surface-water Exchange Using the tempest1d Model: Data from the Mainstem Quillayute River, Summer 2021

This dataset includes all files used to model groundwater-surface water exchange at mainstem locations on the lower Quillayute River, WA in summer 2021. Sediment temperature data was collected continuously from June to September 2021 at multiple depths using temperature rods that were installed into the streambed. Temperature data was collected at depths of 1, 4, 7, 11, and 50 cm using internally logging iButton temperature sensors (model DS1922L). 
Specific discharge across the sediment-water interface was estimated using the tempest1d model; a python-based model that solves a 1-dimensional heat flux equation (McAliley and others, 2022a; McAliley and others, 2022b). The tempest1d model was run at 6 different sites within the study area. Estimates of hourly specific discharge values were determined throughout the deployment period. A negative specific discharge indicates upward flow (groundwater discharge) into the lake. 
This data release contains the formatted sediment temperature time series data for each site (Inputs.2021.zip), the files needed to run the model (Code.2021.zip), a summary of the specific discharge results at each site (Outputs.2021.zip), and a step-by-step guide on how to run the model at each location (html.output.2021.zip). Study locations are also provided as a .csv file (quillayute.sites.2021.csv).  Additional details are provided in the main README file as well as specific readme files within each zip folder.. 
For further information about the tempest1d modeling approach, please refer to the following publications:
McAliley, W.A., Rey, D.M., and Day-Lewis, F.D., 2022a, Data release for tempest1d--Recursive Estimation of Vertical Groundwater/Surface-Water Exchange using Heat Tracing: U.S. Geological Survey data release, available at https://doi.org/10.5066/P99DBTKT.
McAliley, W. A., Day-Lewis, F. D., Rey, D., Briggs, M. A., Shapiro, A. M., and Werkema, D., 2022b, Application of recursive estimation to heat tracing for groundwater/surface-water exchange: Water Resources Research, v. 58, no. 6, e2021WR030443, available at https://doi.org/10.1029/2021WR030443.

Tags: downwelling, environment, groundwater-and-surface-water-interaction, hydrology, inlandwaters, la-push, quileute-indian-reservation, quillayute-river, sediment-temperature-modeling, sediment-vertical-temperature-profiles, specific-discharge, tempest1d, upwelling, usgs-6542e60fd34ee4b6e05be153, washington-state, water-temperature
Organization: Department of the Interior
3. Longitudinal Stream Temperature Profiles from Float Surveys of the Quillayute River, August 2021 and 2022

This dataset provides a zipfile containing 20 shapefiles with geo-referenced longitudinal water temperature profiles (LTPs; .shp). Profiles were obtained from longitudinal “Lagrangian” drag-probe temperature surveys ("float surveys") of the Quillayute River. Near-streambed and near-surface water temperature and conductivity were measured at three-second intervals and the spatial locations of each measurement was recorded using a GPS from a kayak drifting downstream at ambient stream velocity following the method of Vaccaro and Maloy (2006). The study area consisted of the Quillayute River from its upstream-most point at the confluence of the Sol Duc and Bogachiel Rivers to its outlet at the Pacific Ocean (8 river kilometers). The float surveys were conducted August (Aug.) 10 and 11, 2021, and Aug. 2 and 3, 2022, during different tidal conditions. 
Three longitudinal profiles were measured near-simultaneously on each survey date, along the left bank, right bank, and thalweg. Each shapefile was named according to the depth of the measurements at near-surface (SRF) or near-streambed (BED), and whether it was along the left bank (L), right bank (R), or thalweg (C). Only twenty profiles are included because data from four surveys was unusable due to sensor malfunction. The missing profiles were from the following dates and sensor locations: Aug. 10, 2021, near-surface left bank; Aug. 10, 2021, near-streambed left bank; Aug. 11, 2021, near-surface right bank; and Aug. 3, 2022, near-streambed left bank. Two of the sensors used in the float surveys had temperature values adjusted by -0.2 degrees Celsius to correct for calibration drift, based on pre-survey verification readings. This correction was applied to the near-streambed thalweg surveys on Aug. 10 and 11, 2021, the near-surface right bank survey on Aug. 10, 2021, the near-streambed left bank survey on Aug. 11, 2021, and the near-surface thalweg and near-streambed right bank surveys on Aug. 2 and 3, 2022. 
Float surveys targeted a start time in the late morning and an end time in the late afternoon during the diurnal increase in water temperature such that deviations from the diurnal increase may be attributed to groundwater discharge, tributaries, or other sources of water that differ in temperature from the river. 
The data is projected in UTM10N and the horizontal datum is NAD83(2011).
Reference Cited:
Vaccaro, J.J., Keys, M.E., Julich, R.J., and Welch, W.B., 2008, Thermal profiles for selected river reaches in the Yakima River Basin, Washington: U.S. Geological Survey Data Series 342. [Also available online at https://pubs.usgs.gov/ds/342].

Tags: clallam-county, data-release, field-inventory-and-monitoring, geolocation-measurement, geospatial-analysis, geospatial-datasets, groundwater-and-surface-water-interaction, hydrology, partnerships, profiles, quillayute-river, scientific-interpretation, study-areas, summer, surface-water-quality, united-states, usgs-6542e599d34ee4b6e05be150, washington, water-temperature, watershed-management
Organization: Department of the Interior
2. Characterization of Groundwater Influence at Select Sites in the Quillayute River Basin using Paired Air-Stream Temperature Analysis

This dataset presents paired air and stream temperature measurements from 11 sites in the Olympic Experimental State Forest within the Quillayute River Basin, and metrics to understand groundwater influence and thermal sensitivity at these sites. The study area consisted of upper reaches of the Dickey, Calawah, Sol Duc, Bogachiel Rivers, above their respective confluences with the Quillayute River. Paired, or co-located, air and stream water temperature data were collected continuously (every 60 or 120 minutes) by the Washington State Department of Natural Resources (WADNR), Forest Resources Division, between 2017 and 2022 (Minkova and Foster, 2017). Stream water temperature data were screened by WADNR to remove erroneous values corresponding to when the sensor was exposed to air. Thermal sensitivity analysis for each site was conducted by the U.S. Geological Survey using only complete water years of the daily average values (October 1 to September 30, no gaps in the continuous record) from the paired data to ensure accurate thermal signal computations. Thermal signal metrics and paired air and stream temperature regression fits for each site and water year were generated using the Paired Air and Stream Temperature Analysis web application (PASTA; https://cuahsi.shinyapps.io/pasta/).
Reference Cited:
Minkova, T. and Foster, A., eds., 2017, Status and Trends Monitoring of Riparian and Aquatic Habitat in the Olympic Experimental State Forest: Monitoring Protocols: Washington State Department of Natural Resources, Forest Resources Division, accessed March 5, 2024, at https://www.fs.usda.gov/research/treesearch/54632.

Tags: bogachiel-river, calawah-river, data-release, dickey-river, field-inventory-and-monitoring, geolocation-measurement, geospatial-analysis, geospatial-datasets, groundwater-and-surface-water-interaction, hydrology, partnerships, profiles, quillayute-river, scientific-interpretation, sol-duc-river, study-areas, summer, surface-water-quality, united-states, usgs-6542e559d34ee4b6e05be14e, washington, water-temperature, watershed-management
Organization: Department of the Interior
2019 Eastern Iowa Topographic Lidar Validation  – USGS Field Survey Data

U.S. Geological Survey (USGS) scientists conducted field data collection efforts between October 25th and 31st, 2020 at several sites in eastern Iowa using high accuracy surveying technologies.  The work was initiated as an effort to validate commercially acquired topographic light detection and ranging (lidar) data that was collected between December 7th, 2019 and November 19th, 2020 using wide area mapping lidar systems for the USGS 3D Elevation Program (3DEP).  The goal was to compare and validate the airborne lidar data to topographic, structural, and infrastructural data collected through more traditional means (e.g., Global Navigational Satellite System (GNSS) surveying).  Evaluating these data will provide valuable information on the performance of wide area topographic lidar mapping capabilities that are becoming more widely used in 3DEP.  The airborne lidar was collected to support the U.S. Department of Agriculture (USDA) Natural Resources Conservation Service (NRCS) High Resolution Elevation Enterprise Program and the Iowa Department of Agriculture and Land Stewardship Iowa Flood Plain Program, in addition to the 3DEP mission.
The data contained within this particular release are comprised of conventional survey (i.e. total station and GNSS) and ground based lidar data.

Tags: 3d-elevation-program, 3dep, airborne-laser-scanning, airborne-lidar, als, cherry-hill-park, city-of-cedar-falls, city-of-cedar-rapids, city-of-coralville, city-of-davenport, city-of-iowa-city, city-of-moline, city-park, coralville-city-hall, elevation, ellis-park, emeis-park, empire-park, garfield-park, gateway-park, gbl, geoscientificinformation, global-navigation-satellite-system, gnss, ground-based-lidar, inlandwaters, island-park, kings-lutheran-church, lidar, light-detection-and-ranging, location, national-geospatial-program, ngp-elevation-applied-research, riverside-park, roger-birdall-memorial-park, st-morrison-park, state-of-illinois, state-of-iowa, terrestrial-laser-scanning, tls, topographic, topographic-lidar, topography, total-station, u-s-geological-survey, usgs, usgs-654253d2d34ee4b6e05bd1c6, village-of-hampton
Organization: Department of the Interior
Natural color and multispectral aerial imagery collected during Uncrewed Aircraft System (UAS) surveys at dryland sites 40 km south of Moab, Utah in May 2023

In support of U.S. Geological Survey (USGS) Southwest Biological Science Center researchers, and in coordination with the Bureau of Land Management (BLM) and National Ecological Observatory Network (NEON), the USGS National Uncrewed Systems Office (NUSO) conducted uncrewed aircraft systems (UAS) remote sensing flights over two BLM Assessment, Inventory, and Monitoring (AIM) plots at the NEON Moab site in Utah for multi-scale carbon sequestration research on public lands. The UAS data collected include natural color, multispectral, and hyperspectral imagery, and lidar to capture diverse information about vegetation and soils on drylands. The first site (“site 1”) features intact sagebrush and was mapped on May 3, 2023. The second site (“site 7”) is located on a grazed rangeland environment and was mapped on May 5, 2023. These UAS surveys were conducted in early May 2023 to coincide spatially and temporally with ground-based BLM AIM sampling and airplane-based remote sensing surveys by NEON.
This portion of the data release presents raw natural color and multispectral images collected during low-altitude UAS surveys at two dryland sites approximately 40 km south of Moab, Utah. A Skydio X2D UAS was flown at an altitude of 15 meters above ground level to capture natural color red, green, blue (RGB) imagery. A DJI Matrice 600 Pro UAS with approved government edition firmware carrying an AgEagle MicaSense Altum-PT sensor was flown at an altitude of 31 meters above ground level to capture multispectral imagery. The images are provided here in zip files to facilitate bulk download.

Tags: ageagle-micasense-altum-pt, drone, geosciences-and-environmental-change-science-center, geospatial-datasets, moab, multispectral, natural-color, photogrammetry, remote-sensing, rgb, san-juan-county-utah, skydio-x2d, structure-from-motion, u-s-geological-survey, uas, uncrewed-aircraft-system, united-states, usgs, usgs-654179e9d34ee4b6e05bcf90, utah
Organization: Department of the Interior
Phytoplankton data for Cheney Reservoir near Cheney, Kansas, June 2001 through October 2022 (ver. 4.0, November 2023)

This U.S. Geological Survey (USGS) Data Release provides phytoplankton data collected from Cheney Reservoir, Kansas, during June 2001 through October 2022. All data are reported as raw calculated values and are not rounded to USGS significant figures. 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. The dataset includes all routine and quality assurance/quality control samples collected at the long-term sampling site on Cheney Reservoir located near the dam (USGS station identification number 07144790). Phytoplankton were identified to the lowest possible taxonomic level and densities and biovolumes are reported.

Tags: algae, aquatic-biology, cheney-reservoir, division, freshwater, genus, hydrology, kansas, lake, limnology, phytoplankton, reservoir, species, surface-water-quality, taxa, taxonomy, united-states, usgs-65416e27d34ee4b6e05bcf55, usgs-station-id-07144790, water-quality-data
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2005, 2008, 2012, 2016, 2018, and 2021 Site 6042 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-654150e1d34ee4b6e05bcee8, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2005, 2008, 2012, 2016, 2018, and 2021 Site 6038 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-654150ddd34ee4b6e05bcee6, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior