cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p94sn60m
title: Repeat microgravity data from Mesilla Valley, New Mexico, 2016-2018

description: This dataset represents the network-adjusted results of relative- and absolute-gravity surveys. Relative-gravity surveys were carried out using a Zero Length Spring, Inc. relative-gravity meter. The effect of solid Earth tides and ocean loading were removed from the data. Instrument drift was removed by evaluating gravity change during repeated measurements at one or more base stations. Absolute-gravity surveys were carried out using a Micro-g LaCoste, Inc. A-10 absolute-gravity meter. Vertical gradients between the different measuring heights of the absolute- and relative-gravity meters were measured using a relative-gravity meter and tripod, and used to correlate the measurements between the two instruments. Relative-gravity differences and absolute-gravity data were combined using least-squares network adjustment. Additional information about the network adjustment is provided under Data Quality. Data processing was carried out using GSadjust (https://code.usgs.gov/sgp/gsadjust). First posted - May 23, 2017 Revision posted - March 16, 2021 Changes in version 2.0 This dataset includes additional data from 3 microgravity surveys carried out in 2017-2018. Data from the initial data release, which included 4 surveys from 2016-2017, are also included in this data release. Slight differences in gravity values and standard deviation may exist between this and the original data release. In all such cases, this version's values should replace those in the original. Station names are updated in this version to reflect the names used for collocated monitoring wells and in accompanying publications. Changes include capitalization, punctuation, and replacing &amp;quot;usbr&amp;quot; with &amp;quot;MES&amp;quot; at certain stations. The original data release included gravity-change values converted to meters of water. For clarity, these are ommitted in this version. Storage change in meters of water can be calculated from gravity change using the Bouguer infinite slab approximation, whereby [change in gravity, in microGal]/41.9 = meters of water.
DOI: 10.5066/p9s4t8ym
title: Field measurements of flow depth and optical image sequences acquired from the Salcha River, Alaska, on July 25, 2019

description: This data release includes field measurements of flow depth and optical image sequences acquired from the Salcha River in Alaska on July 25, 2019. These data were used to develop and test a spectrally based remote sensing technique for estimating water depth from passive optical image data. The purpose of this study was to assess the feasibility of inferring water depths from optical image sequences acquired from a helicopter hovering above the river by averaging the images over time and then establishing a correlation between a spectral band ratio and field measurements of depth, and to develop a modular workflow for performing this type of analysis. Remote sensing of river bathymetry (depth) could provide a more efficient, cost-effective alternative to conventional field-based methods of measuring depth and become an important component of non-contact approaches to streamgaging, geomorphic characterization, and habitat assessment. This parent data release includes links to child pages for several data sets produced during the study: Acoustic Doppler Current Profiler (ADCP) field measurements of flow depth from the Salcha River collected on July 25, 2019. High frame rate video acquired from the Salcha River on July 25, 2019, and used to estimate water depth. High spatial resolution orthophotos produced from images acquired from the Salcha River on July 25, 2019, and used as a base for geo-refreencing images extracted from the video. Please refer to the individual child pages for further detail about each data set. Overall, these data were used to assess the potential to estimate water depth in relatively clear-flowing, shallow rivers from helicopter-based, hovering image sequences using a spectrally based remote sensing technique.
DOI: 10.5066/p9vf358t
title: Structure Contour of the Top of the Lower Miocene 2 Sequence, Gulf Coast

description: The structure contours were created using biostratigraphic data in the Paleo-Data, Inc., Tenroc Regional Geologic Database. The depths of the microfossil locations were associated with the wells data provided by the Louisiana Department of Natural Resources. Because of the proprietary nature of the Tenroc database, no actual data can be shown and only those data points contained in the Louisiana State wells database are included in the control points layer. Contouring was accomplished in Dynamic Graphics, Inc., EarthVision modeling software (v.5) using minimum tension gridding. Three custom programs were used to convert contour lines generated from grids in EarthVision to Arc/Info coverages and then to shapefiles. The data are provided as both lines and polygons (lm2toplg.shp and lm2toppg.shp), and the public wells that penetrate the top of the Lower Miocene 2 (LM2) sequence are provided in a point shapefile (lm2topptg.shp). These datasets contain basic data and interpretations developed and compiled by the U.S. Geological Survey's Framework Studies and Assessment of the Gulf Coast Project. Other major sources of data include publicly available information from state agencies as well as publications of the U.S. Geological Survey and other scientific organizations. In cases where company proprietary data were used to produce various derivatives such as contour surfaces, the source is cited but the data are not displayed.
DOI: 10.5066/f7vh5n3n
title: Data Used to Characterize Peak Streamflows and Flood Inundation Resulting from Hurricane Harvey of Selected Areas in Southeastern Texas and Southwestern Louisiana, August-September 2017

description: The U.S. Geological Survey (USGS) worked in cooperation with the Federal Emergency Management Agency (FEMA) to document the August and September, 2017 Hurricane Harvey storm event in southeastern Texas and southwestern Louisiana. Hurricane Harvey was the most significant rainfall event in United States history in scope and rainfall totals since rainfall records began during the 1880s. From August 25 through September 1, 2017, some areas in southeastern Texas received more than 60 inches of rain; large areas received more than 40 inches of rain. This data release contains the flood inundation polygons, flood-depth rasters, mapped boundaries, and high-water mark (HWM) locations for the selected river basins, coastal basins, and coastal areas in Texas and Louisiana that flooded during the August and September 2017 flood event. The five heavily flooded river basins are drained by the following rivers and their tributaries: Brazos River, Neches River, Sabine River, San Bernard River, and San Jacinto River. The coastal basins flooded by Harvey consist of East and West Matagorda Bay Basins, East and West San Antonio Bay Basins, and Aransas Bay Basin, all of which are along the southeastern coast of Texas. Texas coastal areas flooded by Harvey begin at Matagorda Bay near the San Bernard National Wildlife Refuge south of Freeport, Tex., continue along the coast through the communities of Matagorda, Palacios near Tres Palacios Bay, Port O'Connor, Port Lavaca, Austwell, and Rockport, and continue on to the northern side of Corpus Christi Bay at Port Aransas and San Jose Island.
DOI: 10.5066/p92pnwe5
title: Field measurements of water depth from the American River near Fair Oaks, CA, October 19-21, 2020

description: Field measurements of water depth were acquired from a reach of the American River at Sailor Bar, near Fair Oaks, California, October 19-21, 2020, to support research on remote sensing of water depth from satellite images. The depth measurements included in this data release were obtained via two different methods: 1) By wading the shallow channel margins with RTK GPS receivers and measuring water surface elevations along the water's edge and bed elevations within the channel; depths were calculated by subtracting bed elevations from the nearest water surface elevation. 2) For the deeper areas representing most of the channel, depths were recorded along a series of cross-sections by a SonTek RiverSurveyor S5 acoustic Doppler current profiler (ADCP) and a SonarMite single beam echo sounder deployed from a boat. The spatial location of each measurement was obtained via Trimble R10 RTK GPS receivers. The map projection and datum for these data are UTM Zone 10 N and WGS84, respectively. The ADCP- and echo sounder-based depth measurements were cross-calibrated to one another using collocated observations from the two instruments and then combined with the wading measurements for the purposes of this data release, which consists of a comma-delimited (*.csv) text file with three columns: Easting_m, Northing_m, and Depth_m; the units of the spatial coordinates and the depths are meters. This ground-based depth data set was used to calibrate (i.e., train) models for inferring water depths from passive optical image data and to assess the accuracy of image-derived depth estimates.
DOI: 10.5066/f7bp00w8
title: Groundwater-Quality Data in the Tule-Tulare-Highlands-Kaweah Shallow Aquifer Study Unit, 2014-2015

description: The U.S. Geological Survey collected groundwater samples from 95 domestic wells in Tulare and Kings Counties, California in 2014-2015. The wells were sampled for the Tulare Shallow Aquifer Study Unit of the California State Water Resources Control Board Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Projects assessment of the quality of groundwater resources used for domestic drinking water supply. Domestic wells commonly are screened at shallower depths than are public-supply wells. The Tulare Shallow Aquifer Study Unit includes the Kaweah, Tule, and Tulare Lake subbasins of the San Joaquin Valley groundwater basin and adjacent areas of the Sierra Nevada. The study unit was divided into equal area grid cells and one domestic well was sampled in each cell. Groundwater samples were analyzed for field water-quality parameters, volatile organic compounds, pesticides and pesticide degradates, nutrients, major ions and trace elements, gross alpha and gross beta particle activities, noble gases, tritium, carbon-14 in dissolved inorganic carbon, stable isotopic ratios of water and dissolved nitrate, and microbial indicators. These data support the following publication: Fram, M.S., 2017, Groundwater Quality in the Shallow Aquifers of the Tulare, Kaweah, and Tule Groundwater Basins and Adjacent Highlands areas, Southern San Joaquin Valley, California: U.S. Geological Survey Fact Sheet 20173001, 4 p., http://dx.doi.org/10.3133/fs20173001.
DOI: 10.5066/p9ld5w2h
title: GIS shapefiles for the June 27th lava flow at Kilauea volcano, Hawaii, June 2014-June 2016

description: This dataset contains shapefiles and associated metadata showing evolution of the "June 27th" lava flow (Pu?u ???? eruptive episode 61e) that was active at Kilauea volcano from June 27, 2014, to June 8, 2016. The dataset contains (1) an attributed polyline shapefile and (2) an attributed polygon shapefile with features that represent the outline and extent of the flow on 35 different dates. The dataset also contains (3) an attributed polyline shapefile with features that represent the eruptive fissures associated with this episode of the eruption and the principle ground cracks that were occupied by lava during lava flow emplacement, and (4) an attributed polyline shapefile with features representing the mapped extent of the active lava tube on six different dates. In total, this dataset contains four shapefiles, each with an associated metadata files in .txt and .xml formats. The geologic lines (lava flow contacts, the eruptive fissures, the ground cracks, and the lava tubes) were mapped on the ground or during helicopter reconnaissance flights using a handheld GPS, were digitized from satellite imagery or orthorectified aerial imagery (orthomosaics), were provided by the U.S. Geological Survey's Advanced Systems Center, or were (in a few instances) inferred. The relevant sources for each feature are assigned in the metadata attribute tables, but a lookup table for the data sources (DataSource.txt) is also included for convenience.
DOI: 10.25505/fiz.icsd.cc2f1mlq
title: CSD 2235893: Experimental Crystal Structure Determination

description: Related Article: Jia Lin|2023|ICSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2f1mmr
title: CSD 2235894: Experimental Crystal Structure Determination

description: Related Article: Jia Lin|2023|ICSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5066/p9o9jwpw
title: 09471143 - Walnut Gulch below ARS Flume 6, near Tombstone, AZ - 07/28/2017 Flow Event Data

description: The dataset consists of a slope-area computation of peak discharge (published via NWIS), stage data from continuous slope-area (CSA) sensors, CSA computations of discharge data, verified Manning's roughness coefficients (n), channel geometry and reach properties associated with Manning's n computations, and GPS survey data associated with the flow event on July 28, 2017, at 09471143 - Walnut Gulch below ARS Flume 6, near Tombstone, AZ.
DOI: 10.5066/p9sqgbkq
title: Organic petrology of Cretaceous Mowry and Niobrara source-rock reservoirs, Powder River Basin, Wyoming, USA

description: Imaging of Niobrara Formation and Mowry Shale samples from a range of thermal maturities provided observations and data on pore systems, organic matter (OM) types and associations with mineralogy and fabric, wettability, and microporosity associated with both diagenetic and detrital clays. Imaging techniques included scanning electron microscopy, organic petrography and correlative scanning electron microscopy, and mapping of mineralogy through energy dispersive spectroscopy.
DOI: 10.5066/p9bpgegh
title: Groundwater-quality data in the Sacramento Metro shallow aquifer study unit, 2017: Results from the California GAMA Priority Basin Project

description: The U.S. Geological Survey collected groundwater samples from 49 wells used for domestic and small system drinking water supplies in Amador, Placer, Sutter, and Sacramento Counties, California in 2017. The wells were sampled for the Sacramento Metropolitan (SacMetro) Shallow Aquifer Study Unit of the California State Water Resources Control Board Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project's assessment of the quality of groundwater resources used for domestic and small system drinking water supplies. Domestic and small-system wells are commonly screened at shallower depths than public-supply wells. The SacMetro study unit consisted of three &quot;study areas&quot; corresponding to three California Department of Water Resources groundwater subbasins: the North American and South American subbasins of the Sacramento Valley groundwater basin, and the Cosumnes subbasin of the San Joaquin Valley groundwater basin. Wells in the SacMetro study unit were in alluvial aquifers composed of sediments derived from the Sierra Nevada Mountains east of the study unit. The study unit was divided into 56 approximately 58 square kilometer grid cells, and a domestic or small-system well was sampled in 49 of those cells. Groundwater samples from all 49 wells were analyzed for field water-quality parameters, volatile organic compounds, pesticides and pesticide degradates, nutrients, major ions and trace elements, arsenic speciation, chromium (VI), perchlorate, gross alpha and gross beta particle activities, sulfur hexafluoride, tritium, carbon-14 in dissolved inorganic carbon, noble gases, stable isotopic ratios of water and dissolved nitrate, and microbial indicators. Groundwater levels were measured in 44 of the 49 wells. All results are presented in this data release, except results for pesticide and pesticide degradates. In 2017, the U.S. Geological Survey National Water-Quality Assessment (NAWQA) Program sampled 22 monitoring wells located in the SacMetro study unit as part of ongoing NAWQA studies of groundwater quality in different land-use settings. Of the 22 wells, 21 were part of an urban land-use network and 1 was part of a rice land use network. Results for analyses of perchlorate, chromium (VI), and stable isotopic ratios are presented in this data release, and results for analyses of field water-quality parameters, volatile organic compounds, pesticide and pesticide degradates, nutrients, major ions and trace elements, dissolved organic carbon, and tritium will be presented in a data release to be published separately by NAWQA. This data release supports the following publication: Groundwater Quality in the Sacramento Metropolitan shallow aquifer, California: U.S. Geological Survey Open-File Report 2019-1047, 4p., https://doi.org/10.3133/ofr20191047.
DOI: 10.5066/f7dn43xr
title: GIS shapefiles for Kilauea's episode 61g lava flow, Pu`u `O`o eruption: May 2016 to May 2017

description: This dataset contains shapefiles and associated metadata for K&#299;lauea volcano's Puu &#332;&#333; episode 61g lava flow from May 24, 2016 through May 31, 2017. Episode 61g began with a breakout from the east flank of Puu &#332;&#333; on May 24, 2016. Lava reached the Pacific Ocean at Kamokuna on July 26, 2017, and began building a lava delta that extended seaward from the original coastline. This lava delta collapsed into the ocean on December 31, 2016, as reflected in the data for January 12, 2017 and thereafter. The episode 61g lava flow continues as of May 31, 2017, the date of the last mapping to contribute to this dataset. One mapping date is included for each calendar month - usually late in the month - from May 2016 through May 2017, with two exceptions: two mapping dates are included for June 2016 to demonstrate the early expansion of the lava flow, and no mapping data were available for April 2017, so data from May 3, 2017 are included instead. Two shapefiles are associated with each mapping date: a polyline shapefile for the lava flow contacts with their attributes, and a polygon shapefile for the full extent of the lava flow on that date. In total, this dataset contains 28 shapefiles with associated metadata for 14 separate mapping dates. The lava flow contacts were mapped on the ground using GPS or digitized from images collected by a variety of aerial and satellite sources; the metadata include detailed descriptions of these sources.
DOI: 10.5066/p9sdlb3d
title: U-Pb Dataset from late Paleozoic record of the Eastern Shelf of the Permian Basin

description: This dataset accompanies planned publication titled "The Far-Field imprint of the LPIA, its demise, and the onset of a dust-house climate across the Eastern Shelf of the Permian Basin". Zircon ages presented in this dataset are from rocks collected across the eastern margin of the Permian Basin, Texas. The U-Pb zircon ages are used to investigate changes in provenance in this region as a result of a changing hydroclimate and tectonics. Samples were collected from this region by Neil Griffis and Neil Tabor between March 2019 and April 2021. The data were collected at the University of California, Davis and the University of Texas, Austin between April 2019 and August 2021.
DOI: 10.5281/zenodo.6378049
title: CFD dataset for CityTransformer

description: This dataset contains the simulated plume concentration data in the urban area for CityTransformer, where all the data are created by 3D Large Eddy Simulations dedicated to the Oklahoma city. A single netcdf file in the dataset consists of the 2D image-like data on the ground (e.g building shapes, source locations, plume concentration) and 1D time-series data (e.g flow velocities, plume concentration) from a few monitoring stations. CityTransformer is designed to give the emergence contaminant dispersion prediction in a realistic urban area based on the deep learning model. We simulate a 4 km x 4 km x 2.5 km area of Oklahoma city under the uniform flow conditions. In each simulation, 25 tracer particles are released from random locations in the city center. We consider three distinct 1.5 hour long time windows for data augmentation, wherein we sampled 1-hour long time varying 1D data and time-averaged 2D ground data for the next 30-minutes. The details of the dataset is described in the Github page.
DOI: 10.5281/zenodo.6378050
title: CFD dataset for CityTransformer

description: This dataset contains the simulated plume concentration data in the urban area for CityTransformer, where all the data are created by 3D Large Eddy Simulations dedicated to the Oklahoma city. A single netcdf file in the dataset consists of the 2D image-like data on the ground (e.g building shapes, source locations, plume concentration) and 1D time-series data (e.g flow velocities, plume concentration) from a few monitoring stations. CityTransformer is designed to give the emergence contaminant dispersion prediction in a realistic urban area based on the deep learning model. We simulate a 4 km x 4 km x 2.5 km area of Oklahoma city under the uniform flow conditions. In each simulation, 25 tracer particles are released from random locations in the city center. We consider three distinct 1.5 hour long time windows for data augmentation, wherein we sampled 1-hour long time varying 1D data and time-averaged 2D ground data for the next 30-minutes. The details of the dataset is described in the Github page.
DOI: 10.5281/zenodo.7523682
title: CFD dataset for CityTransformer

description: This dataset contains the simulated plume concentration data in the urban area for CityTransformer, where all the data are created by 3D Large Eddy Simulations dedicated to the Oklahoma city. A single netcdf file in the dataset consists of the 2D image-like data on the ground (e.g building shapes, source locations, plume concentration) and 1D time-series data (e.g flow velocities, plume concentration) from a few monitoring stations. CityTransformer is designed to give the emergence contaminant dispersion prediction in a realistic urban area based on the deep learning model. We simulate a 4 km x 4 km x 2.5 km area of Oklahoma city under the uniform flow conditions. In each simulation, 25 tracer particles are released from random locations in the city center. We consider three distinct 1.5 hour long time windows for data augmentation, wherein we sampled 1-hour long time varying 1D data and time-averaged 2D ground data for the next 30-minutes. The details of the dataset is described in the Github page.