cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/f7h13105
title: Chemical and isotopic data on gases and waters for thermal and non-thermal features across Yellowstone National Park (2003-2015)

description: Degassing thermal features at Yellowstone National Park include spectacular geysers, roiling hot springs, bubbling mud pots, fumaroles, frying pans, and areas of passive degassing characterized by steaming ground. Most of these features are readily identified by visible clouds of steam that are occasionally accompanied by a strong rotten egg odor from emissions of hydrogen sulfide gas. Gas compositions typically are greater than 90% carbon dioxide with lesser amounts of helium, hydrogen, hydrogen sulfide, methane, nitrogen and other trace components. The composition of the gas and relative amounts of gas and steam relate both to the type of feature as well as the geographic location within the park. In 2003 we began a long-term field study of Yellowstone gases with a goal of obtaining complete chemical analyses from a variety of features from all areas of the park. Results from samples collected through 2012 are published in numerous journal articles and 2 data releases (see below). Synthesis of these studies enabled us to delineate areas dominated by crustal and magmatic gas sources and to tease out information on additional sources of gas related to sedimentary and metamorphic processes. This report compiles the early gas data and new gas and water data from samples collected in 2014 and 2015. In total there are 190 analyses of gas collected in evacuated bottles containing sodium hydroxide, 30 analyses of gas collected in dry evacuated bottles, and 62 water analyses from thermal and non-thermal features. Some of the analyses represent replicate samples collected in different bottles on the same day, others are samples collected from the same location in different years, and some sites were only sampled once. The analytical results include major and trace element chemistry for the gases and waters and isotope values for water and steam (d18O, dD), carbon dioxide (d13C), methane (d13C), helium (3He/4He), neon (20Ne/22Ne and 21Ne/22Ne), and argon (38Ar/36Ar and 40Ar/36Ar). All data in this report supersede previously published analyses. The gas and water data are presented in 3 tables and are keyed to a group number, from 1 through 20. Samples in groups 2 through 10 and 12 through 20 tend to be in close proximity. Group 11 includes samples from general locations across Eastern Yellowstone. Samples keyed to group 1 (miscellaneous) are not co-located. The reader is directed to early publications for details on sampling and analytical methods and for in depth discussions regarding interpretations of the gas data.
DOI: 10.5066/f7gf0rrd
title: River Chemistry in Yellowstone National Park

description: The Yellowstone Volcano Observatory (YVO) was established as a collaboration between the U.S. Geological Survey and Yellowstone National Park to &quot;To strengthen the long-term monitoring of volcanic and earthquake unrest in the Yellowstone National Park region&quot;. Yellowstone National Park is underlain by a voluminous magmatic system overlain by the most active hydrothermal system on Earth. Tracking changes in water and gas chemistry is of great importance because anomalous fluxes might signal one of the earliest warnings of volcanic unrest. Because of the tremendous number, chemical diversity, and large aerial coverage of Yellowstone's thermal features, it remains daunting to monitor individual features that might serve as proxies for anomalous activity in the hydrothermal system. Sampling rivers provides some advantages, because they integrate chemical fluxes over a very large area and therefore, river fluxes may reveal large-scale spatial patterns. The ongoing monitoring and analysis of river solute flux is a key component in the current monitoring program.
DOI: 10.5066/p914slvm
title: Hydraulic modeling and flood-frequency analyses using paleoflood hydrology for the Tennessee River near Chattanooga, Tennessee

description: This data release contains the results from a comprehensive field study that applied paleoflood hydrology methods to estimate the frequency of low-probability floods for the Tennessee River near Chattanooga, Tennessee. The study combined stratigraphic records of large, previously unrecorded floods with modern systematic flood records and historical flood accounts.
DOI: 10.5066/p9g3afrz
title: Alkenone and foraminifer abundance data from Miocene and Pliocene Atlantic Coastal Plain sediments

description: Alkenone data were extracted from core and outcrop samples from the Miocene and Pliocene of the mid Atlantic Coastal Plain. The Uk'37 index is used to estimate temperature and total C37 is used to estimate productivity. Planktonic foraminifer abundance's are provided for two cores.
DOI: 10.5066/f7td9vtq
title: Elevation Derivatives for National Applications (EDNA) Seamless Three-Dimensional Hydrologic Database

description: Elevation Derivatives for National Applications (EDNA) is a seamless, nationwide, multi-layered three-dimensional (3D) hydrologic database derived from a version of the National Elevation Dataset. EDNAs 3D hydrologic layers are vertically consistent by their very nature, meaning that hydrologic drainage always flows from a higher elevation to a lower elevation and that reach catchment boundaries always follow the elevation drainage divide. This consistency allows for transfer of valuable information from digital elevation models onto EDNA-derived drainage lines and watersheds, including stream gradient, minimum and maximum elevation within a watershed, average watershed slope, and elevation. Derivative hydrologic data have numerous environmental and hydrologic applications. EDNA can be used simply as a shaded relief backdrop, or for nationwide hydrologic modeling. The database is valuable because drainage areas upstream or downstream from any location can be accurately traced facilitating flood analysis investigations, pollution studies, estimations of annual streamflow, and hydroelectric power generation. The EDNA database was completed from 2000-2003 as a collaborative effort between the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center, USGS Water Resources of the United States, National Oceanic and Atmospheric Administration, National Weather Service, National Severe Storms Laboratory, and the U.S. Environmental Protection Agency.
DOI: 10.5066/f72n5088
title: Hydrothermal monitoring data from the Cascade Range, northwestern United States
DOI: 10.5066/p9565ey6
title: Artisanal and Small-scale Mining (ASM) Activity in Afghanistan

description: Afghanistan is endowed with a broad range of mineral resources. Currently, the majority of mining throughout the country is comprised of informal and undocumented artisanal and small-scale mining (ASM) operations. The exact scope of excavation operations depends largely on the mineral commodity produced. In the case of gemstones, such as emeralds and rubies, small teams of miners use manual equipment such as pick-axes, shovels, and explosives to blast the host rock to access the minerals. Other mineral commodities like talc, coal, and chromite, as well as development minerals such as construction stone, sand, and gravel, are extracted using larger, semi-industrial methods. These operations are often well-organized, mechanized, and might employ over 100 workers at a site. Regardless of scale, these undocumented mining operations have an important economic and political impact that extends across regional and national boundaries. Efforts by Afghanistan's government to improve transactional capacity building through the formalization of ASM operations is complicated by their illicit, unregulated, and sometimes clandestine nature. However, with support and information provided by the U.S. Agency for International Development (USAID), the U.S. Geological Survey (USGS), and other U.S. agencies, the Afghanistan Ministry of Mines and Petroleum (MoMP) and the Afghanistan Geological Survey (AGS) plan to develop policies by which existing ASM operations can be integrated into Afghanistan's mineral resource development plan. This project is part of a larger effort by the USAID and the USGS to aid Afghanistan's economic redevelopment through scientific and technical guidance regarding its mineral resources.
DOI: 10.5066/p99kcp4m
title: Slow-moving landslides and subsiding fan deltas mapped from Sentinel-1 InSAR in the Glacier Bay region, Alaska and British Columbia, 2018-2020

description: This data release contains four GIS shapefiles, one Google Earth kmz file, and five metadata files that summarize results from Interferometric Synthetic Aperture Radar (InSAR) analyses in the Glacier Bay region of Alaska and British Columbia. The principal shapefile (Moving_Ground) and the kmz file (GBRegionMovingGround) contain polygons delineating slow-moving (0.5-6 cm/year in the radar line-of-sight direction) landslides and subsiding fan deltas in the region. Landslides and fan deltas were identified from displacement signals captured by InSAR interferograms of Sentinel-1 C-band Synthetic Aperture Radar images. The images were acquired at 12-day intervals from June to October from 2018 to 2020. We applied the persistent scatterer InSAR (PSInSAR) methods to images from both descending (scene P145) and ascending (scene P50) satellite tracks. We used PSInSAR results from the descending track as a primary means to identify ground movement and then used results from the ascending track to confirm the ground movement. The overlapping area covered by both images is 14,780 sq. km and is shown on the map at the right-hand side of this page. Each polygon in the Moving_Ground and GBRegionMovingGround files outlines an area of moving ground from 2018 to 2020. We categorized each area of moving ground into one of three categories: 1) slow-moving landslides on steep rocky slopes not near (&gt; 2 km away from) present-day glacier termini, 2) slow moving landslides directly adjacent to (&lt; 2 km away from) and associated with glacier thinning and retreat; and 3) subsidence of outwash fan deltas near glacier termini. These three categories are differentiated in the Moving_Ground shapefile attribute table and in an explanation box in the GBRegionMovingGround kmz file. The attribute table also provides the area of each polygon in sq. meters. Overall, we detected 4 landslides distal to glacier termini, 22 adjacent to termini, and 5 subsiding fan deltas. The other three shapefiles included in this release contain: the boundaries of Glacier Bay National Park and Preserve (Park_Boundaries); the coverage area for scenes P145 and P50, and the overlap between the two (Satellite_Coverage); and points and labels for each polygon in the Moving_Ground shapefile (Movement_Locations). These data were used in the following interpretive paper: Kim, J., Coe, J.A., Lu, Z., Avdievitch, N.N., and Hults, C.P., in review, Spaceborne InSAR mapping of landslides and subsidence in rapidly deglaciating terrain, Glacier Bay National Park and Preserve and vicinity, Alaska and British Columbia: Remote Sensing of Environment.
DOI: 10.5066/f75d8r1w
title: High resolution helicopter-borne magnetic and electromagnetic survey Eureka Graben area, Colorado September 1999

description: On September 25, 1998, SIAL Gosciences Inc. (SIAL) was awarded Department of Interior, contract 98CRCN1018, by the U.S. Geological Survey. This contract required SIAL to carry out a high-sensitivity magnetic and electromagnetic helicopter survey over one block located in the Eureka Graben Area near Silverton, Colorado. The primary goal of this project was to provide digitally recorded and processed magnetic and electromagnetic data in order to evaluate geologic and hydrologic resources of the Eureka Graben Area. The base of on-site field operations was Silverton, Colorado. The survey was carried out by SIAL between May 27th and June 9th, 1999. This report describes the survey parameters, data acquisition and processing procedures, and products that SIAL delivered at the end of August, 1999. This website provides access to the data sets and documentation as delivered by the contractor.
DOI: 10.5066/p9huwm6q
title: Flow-Conditioned Parameter Grids for the Contiguous United States: A Pilot, Seamless Basin Characteristic Dataset

description: Abstract To aid in parameterization of mechanistic, statistical, and machine learning models of hydrologic systems in the contiguous United States (CONUS), flow-conditioned parameter grids (FCPGs) have been generated describing upstream basin mean elevation, slope, land cover class, latitude, and 30-year climatologies of mean total annual precipitation, minimum daily air temperature, and maximum daily air temperature. Additional datasets of upstream basin area and binary stream presence-absence are provided to help validate queries against the flow-conditioned data. These data are provided as virtual raster tile (vrt) mosaics of cloud optimized GeoTIFFs to allow point queries of the data (see Distribution Information) without requiring [...]
DOI: 10.5066/p98gch4n
title: Bouguer Gravity Anomaly Map of Bangladesh (grav8bg)

description: This coverage includes arcs and arc labels that hold the Bouguer Gravity anomaly value for contours and type contours of the original map of Bangladesh with the same name.
DOI: 10.5066/p96f7rx8
title: Streamflow Observation Points in the Upper Plains, 1973-2018

description: This produced dataset includes spatially aggregated records of measurements and observations from public and private organizations across the Upper Missouri River Basin. For this dataset the Upper Missouri River Basin is defined as Hydrologic Unit Code 1002-1013, and includes the states of Montana, Wyoming, Utah, North Dakota, and South Dakota. Streamflow measurements are an essential part of understanding the relationship between streamflow permanence and climatic and physical factors. For the purpose of this investigation, all streamflow observations were identified as perennial, non-perennial, or pooled to be used in the PROSPER (PRObability of Streamflow PERmanence) model.
DOI: 10.5066/p9b6omc4
title: Data from Monitoring Volcanic Gases in Plumes and Ambient Air, Newberry Volcano, Oregon

description: This release presents volcanic gas monitoring data from periodic surveys and temporary instrument deployments at Newberry Volcano, Oregon. Measurements of plume-gas and ambient air compositions were obtained using single-gas industrial hydrogen sulfide (H2S) sensors and with multi-GAS (multiple Gas Analyzer System; Aiuppa et al., 2005; Shinohara, 2005; Lewicki et al., 2017) instruments that measure water vapor (H2O), carbon dioxide (CO2), sulfur dioxide (SO2), and H2S abundances. Discrete multi-GAS surveys were completed in 2017 at East Lake hot springs and Paulina hot springs. In response to reports of anomalous degassing in the summer of 2020 more extensive discrete multi-GAS surveys were completed around Newberry caldera and a temporary continuous gas monitoring network was deployed. The temporary network was in place from August-October 2020 and included one multi-GAS station and four single-gas H2S monitors. Monitoring data from future surveys and instrument deployments will be added to this release as needed. References Aiuppa, A., Federico, C., Giudice, G., Gurrieri, S., 2005. Chemical mapping of a fumarolic field: La Fossa Crater, Vulcano Island (Aeolian Islands, Italy). Geophys. Res. Lett. 32, L13309. https://doi.org/10.1029/2005GL023207 Shinohara, H., 2005. A new technique to estimate volcanic gas composition: plume measurements with a portable multi-sensor system. J. Volcanol. Geotherm. Res. 143, 319?333. https://doi.org/10.1016/J.JVOLGEORES.2004.12.004 Lewicki, J.L., Kelly, P.J., Bergfeld, D., Vaughan, R.G., Lowenstern, J.B., 2017. Monitoring gas and heat emissions at Norris Geyser Basin, Yellowstone National Park, USA based on a combined eddy covariance and Multi-GAS approach. J. Volcanol. Geotherm. Res. https://doi.org/10.1016/j.jvolgeores.2017.10.001
DOI: 10.5066/f7416vxx
title: One Meter Topobathymetric Digital Elevation Model for Majuro Atoll, Republic of the Marshall Islands, 1944 to 2016

description: Located in the western Pacific Ocean, Majuro is a large coral atoll consisting of a large, central narrow land mass and remote islands that are part of the Republic of the Marshall Islands. The waters surrounding the Majuro Atoll land areas are relatively shallow with poorly mapped bathymetry. However, the Pacific Ocean on the exterior of the coral atoll and the lagoon within its interior consist of deep bathymetry with steep elevation gradients. Thus, the low-lying Majuro Atoll is extremely vulnerable to sea-level rise, tsunamis, storm surge, coastal flooding, and climate change that could impact the sustainability of the infrastructure, groundwater, and ecosystems. The highest elevation of the Majuro Atoll is estimated at only 3-meters above sea level, which is the island community of Laura located on the western part of the atoll. At the eastern edge of the atoll lies the capital city of Majuro with the island community of Djarrit located in the northeast part of the atoll. To support the modeling of storm- and tide-induced flooding, the USGS Coastal National Elevation Database (CoNED) Applications Project has created an integrated 1-meter topobathymetric digital elevation model (TBDEM) for the Majuro Atoll, Republic of the Marshall Islands. High-resolution coastal elevation data are required to identify flood, hurricane, and sea-level rise inundation hazard zones and for other earth science applications, such as storm-surge models. The new Majuro TBDEM consists of the best available multi-source topographic and bathymetric elevation data for the Majuro Atoll onshore and offshore areas. The Majuro TBDEM integrates nine different data sources, including unmanned aircraft systems (UAS) imagery, Structure from Motion (SfM) derived topography, real-time kinematic (RTK) global navigation satellite system (GNSS) survey points, Satellite-Derived Bathymetry (SDB) using USGS Landsat 8 (L8) and DigitalGlobe Worldview-3 (WV-3) imagery, South Pacific Applied Geoscience Commission (SOPAC) bathymetry, hydrographic surveys, single-beam acoustic surveys, multi-beam acoustic surveys, and chart soundings obtained from the National Geospatial Intelligence Agency (NGA) and the Naval Oceanographic Office. The topographic and bathymetry surveys were sorted and prioritized based on survey date, accuracy, spatial distribution, and point density to develop a TBDEM model based on the best available elevation data. Because bathymetric data are typically referenced to Mean Low Water Springs or Mean Low Water, all bathymetric heights were adjusted to Local Mean Sea Level. The grid spacing is 1 meter and includes the Majuro Atoll, exclusive of some northern islands, extending offshore to a depth of at least 71 meters in the lagoon. The temporal range of the input topography and bathymetry is 1944 to 2016. Additional information regarding the CoNED Applications Project is located at https://topotools.cr.usgs.gov/coned/index.php.
DOI: 10.5066/p9mj0hym
title: Water chemistry data for selected hot springs and rivers in Southwest Yellowstone National Park, Wyoming

description: Water analyses are reported for 66 samples collected from numerous thermal and non-thermal (rivers and streams) features in the southwestern areas of Yellowstone National Park (YNP) during 2009, 2017, and 2018. Water samples were collected from sources near Boundary Creek, Bechler River, Falls River, Mountain Ash Creek, Upper Snake River, Spirea Creek, and Lewis Lake. These water samples were collected and analyzed as part of research investigations on the chemistry of Yellowstone's hydrothermal system and on the distribution of dissolved arsenic and mercury. Most samples were analyzed for major cations and anions, trace metals, redox species of arsenic, iron, nitrogen, and sulfur, and isotopes of hydrogen and oxygen. Radiogenic isotopes of strontium and tritium concentrations were also determined in selected samples. In addition, river and stream discharge data were obtained to determine the flux of chloride and other solutes from thermal areas in the southwest YNP.
DOI: 10.18112/openneuro.ds004386.v1.0.0
title: fc-reliability-spinalcord
DOI: 10.5066/p9yn2qst
title: Discrete and high-frequency chloride (Cl) and specific conductance (SC) data sets and Cl-SC regression equations used for analysis of 93 USGS water quality monitoring stations in the eastern United States

description: High frequency estimated chloride (Cl) and observed specific conductance (SC) data sets, along with response variables derived from those data sets, were used in an analysis to quantify the extent to which deicer applications in winter affect water quality in 93 U.S. Geological Survey water quality monitoring stations across the eastern United States. The analysis was documented in the following publication: Moore, J., Fanelli, R.M., and Sekellick, A.J., in review, high frequency data reveal deicing salts drive elevated conductivity and chloride along with pervasive and frequent exceedances of the EPA aquatic life criteria for chloride in urban streams. Submitted to Environmental Science and Technology. This data release contains five child items: 1) Input datasets of discrete specific conductance (SC) and chloride (Cl) observations used to develop regression models describing the relationship between chloride and SC 2) The predicted chloride concentrations generated by applying the sites-specific and regional regression models to high-frequency SC datasets 3) The regression equations for 56 USGS water quality monitoring stations across the eastern Unite States, as well as three regions 4) Response variables describing temporal patterns in SC and chloride, calculated by using the estimated high-frequency chloride time series datasets and high-frequency SC datasets 5) Watershed characteristics describing the land use, geology, climate, and deicer application rates for the 93 watersheds included in the Moore et al. (in review) study.
DOI: 10.3886/e179261v1
title: Chinese Parental Child-Based Worth

description: This study examined whether parental child-based worth is manifested in parents’ recognition memory.
DOI: 10.3886/e179261v2
title: Parental Child-Based Worth: Recognition Memory

description: This study examined whether parental child-based worth is manifested in parents’ recognition memory. The data and syntax for analyses are provided in the repository.
DOI: 10.3886/e179261v3
title: Parental Child-Based Worth: Recognition Memory

description: This study examined whether parental child-based worth is manifested in parents’ recognition memory. The data, syntax for analyses, and the full list of adjectives used in the recognition memory task are provided in the repository.
DOI: 10.5281/zenodo.7044072
title: Host removal database: Homo sapiens, Sars-Cov-2, PhiX174

description: Kraken2 database, built upon a viral sequence masked human reference from: * Handley, Scott A. (2020). <strong>Virus+ Sequence Masked Human Reference Genome (hg19)</strong> (1.0) [Data set]. Zenodo. [10.5281/zenodo.4116107] but separating chromosomes as artificial taxa to allow for QC, and includes Sars-Cov-2 and PhiX 174 See: https://github.com/telatin/cleanup
description: {"references": ["Handley, Scott A. (2020). Virus+ Sequence Masked Human Reference Genome (hg19) (1.0) [Data set]. Zenodo. [10.5281/zenodo.4116107]"]}