cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/f7mw2gcn
title: Landsat classification of surface water for multiple seasons to monitor inundation of playa wetlands

description: To improve understanding of the distribution of important, ephemeral wetland habitats across the Great Plains, we documented the occurrence and distribution of surface water in playa wetland complexes for four different years across the Great Plains Landscape Conservation Cooperative (GPLCC) region. Years of research on playas has yielded multiple mechanisms and projections for sub-regions of the LCC area, but a complete, region-wide inventory and assessment has not been completed. This information is important because it informs habitat and population managers about the timing and location of habitat availability. Data representing the presence of water, percent of the area inundated with water, and the spatial distribution of playa wetlands with water, with an accurate time-stamp, are needed for a host of resource inventory, monitoring and research applications. For example, the distribution of inundated wetlands, represents the distribution of available habitat for resident shorebirds and water birds, stop-over habitats for migratory birds, connectivity and clustering of wetland habitats, and surface water recharge to the Ogallala aquifer; there is considerable variability in the distribution of playa wetlands holding water through time. Clear documentation of these spatially and temporally intricate processes will provide data required to assess connections between multiple environmental drivers, such as climate, land use, soil, and topography and the probability of inundation. Data presented here document the area covered by water according to archived Landsat TM data. Classifications representing 4 years of imagery (1989, 1996, 2004 and 2011) are provided.
DOI: 10.5066/f7251g8q
title: Onshore Industrial Wind Turbine Locations for the United States to March 2014

description: This data set provides industrial-scale onshore wind turbine locations, corresponding facility information, and turbine technical specifications, in the United States to March 2014. The database has nearly 49,000 wind turbine records that have been collected, digitized, locationally verified, and internally quality assured and quality controlled. Turbines from the Federal Aviation Administration Digital Obstacle File, product date March 2, 2014, were used as the primary source of turbine data points. Verification of the position of turbines was done by visual interpretation using high-resolution aerial imagery in ESRI ArcGIS Desktop. Turbines without Federal Aviation Administration Obstacle Repository System (FAA ORS) numbers were visually identified and supplemental points were added to the collection. A locational error of plus or minus 10 meters for turbine positions was estimated. Wind farm facility names were identified from publicly available facility data sets. Facility names were then used in a web search of additional industry publications and press releases to attribute additional turbine information (such as manufacturer, model, and technical specifications of wind turbines). Wind farm facility location data from various wind and energy industry sources were used to search for and digitize turbines not in existing databases. Technical specifications assigned to were based on the make and model as described in literature, in the Federal Aviation Administration Digital Obstacle File, and information from the turbine manufacturers' websites. Some facility and turbine information did not exist or was difficult to obtain. Thus, uncertainty may be present. That uncertainty was rated and a confidence was recorded for both location and attribution data quality.
DOI: 10.5066/p99qoyl2
title: Time-lapse photography of an active coastal-bluff landslide, Mukilteo, Washington, August 2015 - May 2016

description: A time-lapse camera was used to document periodic reactivation of a complex landslide on a steep coastal bluff in Mukilteo, Washington. This landslide is one of four monitoring sites initiated by the U.S Geological Survey to investigate hill-slope hydrology and landslide hazards affecting the railway corridor along the eastern shore of Puget Sound between the cities of Seattle and Everett (Mirus et al., 2016; Smith et al. 2017). The camera was installed in the crown of the landslide above the main scarp facing roughly North, with a field of view that includes the head of the landslide body and a minor scarp below. The attached file &lsquo;CameraLocation.PNG&rsquo; provides an overview figure of the landslide and the camera&rsquo;s location relative to the different monitoring stations. It recorded imagery from August 19th, 2015 through May 25th, 2016. The time-lapse photos were taken three times daily (at 9 am, 12 pm, and 4 pm, PST) and stored onsite on a memory card; corresponding intervals between the photographs were 3 hours, 4 hours, and 17 hours (overnight). The time-lapse photos were compiled into a video and five periods of distinct ground movement were identified. Apparent slow and consistent slope-surface movements are recorded during these periods, but subsequent site visits suggest that these slow displacements indirectly triggered topples and debris-avalanche movements both up slope and down slope of the camera&rsquo;s field of view. The approximate sizes of topples and debris avalanches were on the order of 105 -107 cubic centimeters. The video captures slope movements during the time periods of December 8-9, 2015; January 21-30, 2016; and March 9-14, 2016. In addition, the video shows two seemingly &quot;instantaneous&quot; events during the nights of March 23 and March 26. Each of these periods of slope movement also correspond to observed rainfall events and associated subsurface hydrologic responses documented elsewhere (Mirus et al. 2017; Smith et al. 2017). The time-lapse video can be found in the attached .mp4 file &quot;mukilteo_timelapse_video.mp4&quot; The individual time-lapse photos can be downloaded from the attached zip file.
DOI: 10.5066/f7cz36f4
title: Catchment-Level Predictions of Nitrogen and Phosphorus Use from Commercial Fertilizer Sales for the Conterminous United States, 2012
DOI: 10.25386/genetics.13350521.v1
title: Supplemental Material for Tourigny et al., 2020

description: Supplemental Figures S1-S8, Supplemental Table S1, and legend for Supplemental Table S2.
DOI: 10.25386/genetics.13350521
title: Supplemental Material for Tourigny et al., 2020

description: Supplemental Figures S1-S8, Supplemental Table S1, and legend for Supplemental Table S2.
DOI: 10.5066/p9znn0z5
title: 04087088 - Underwood Creek at Wauwatosa, WI - 2018/09/14 GPS Survey

description: The dataset contains GPS survey data from the first of two surveys conducted after a high flow event on August 20, 2018, at the USGS streamgage 04087088 - Underwood Creek at Wauwatosa, WI. This survey, on September 14, 2018, documents high-water marks. The survey was performed using Topcon GR-5 GPS unit (SN: 851-10007).
DOI: 10.5066/f7kk991b
title: Cyanotoxin Concentration and Phytoplankton Community Composition Data for Surface Water Samples Collected at Lake Mattamuskeet National Wildlife Refuge, North Carolina during summer 2015

description: Data release including concentrations of cyanotoxins and phytoplankton community composition data for water samples collected from the Lake Mattamuskeet National Wildlife Refuge in North Carolina during 2015.
DOI: 10.6073/pasta/cbc7d774ddb7e3e705e65c6175feb8f3
title: UCSB SONGS Mitigation Monitoring: Wetland Performance Standard - Invertebrate Abundance and Richness

description: These data contain annual estimates of the density of wetland macroinvertebrates (all species combined) and species richness (as a species density) in six main channel and six tidal creek locations at four coastal wetlands as part of the SONGS San Dieguito Wetland Restoration monitoring program to track long-term patterns in species abundance and diversity. This study began in 2012 in the San Dieguito Wetland and Tijuana Estuary in San Diego County, CA, Carpinteria Salt Marsh in Santa Barbara County, CA, and Mugu Lagoon in Ventura County, CA.
DOI: 10.5519/qd.1xrwdyaf
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (34 records)
DOI: 10.5066/f7br8qfv
title: Stream temperature data from Willow-Whitehorse and Little Blitzen watersheds, southeast Oregon, 2011-2015

description: This dataset includes stream temperatures from two data loggers installed at one site in the Little Blitzen River of SE Oregon as part of a redband trout (Oncorhynchus mykiss gairdnerii) study. The site was used as an undisturbed reference in comparison with similar temperature monitoring sites in the Willow-Whitehorse watershed that experienced a 2012 fire that burned nearly the entire watershed. This dataset also includes stream temperatures from a network of 100 data loggers that was installed throughout the Willow-Whitehorse watershed of SE Oregon in September 2014, as well as 10 additional sites that were installed in 2011 and 2012, before and after a 2012 fire that burned nearly the entire watershed. Data loggers were downloaded in August 2015. A spatial data layer contains the site locations and associated information about the sites, along with summary temperature information and a comparison to modeled stream temperatures (NorWeST).
DOI: 10.5281/zenodo.4329970
title: dbNSFP v4.1c

description: dbNSFP is a database developed for functional prediction and annotation of all potential non-synonymous single-nucleotide variants (nsSNVs) in the human genome. Update information and download links can be found at https://sites.google.com/site/jpopgen/dbNSFP. Webservice, update information, and download links can be found at http://database.liulab.science/dbNSFP. dbNSFP v4.1 is released on June 16 2020. BayesDel (https://doi.org/10.1002/humu.23158), ClinPred (https://doi.org/10.1016/j.ajhg.2018.08.005) and LIST-S2 (https://doi.org/10.1093/nar/gkaa288) scores have been added. CADD has been updated to v1.6, CADD score based on hg19 model has been added. gnomAD genomes have been updated to r3.0: populations AMI (Amish) and SAS (South Asian) have been added; controls have been removed. Clinvar, GTEx have been updated. HPO terms have been added to the dbNSFP_gene. search_dbNSFP programs now support searching SpliceAI (https://doi.org/10.1016/j.cell.2018.12.015) as an attached database, please refer to the readme files of the search_dbNSFP programs for details. Two branches of dbNSFP are provided: dbNSFP4.1a suitable for academic use, which includes all the resources, and dbNSFP4.1c suitable for commercial use, which does not include Polyphen2, VEST, REVEL, ClinPred, CADD, LINSIGHT, and GenoCanyon. dbNSFP4.1c can be downloaded here from zenodo or from softgenetics ftp or googledrive.
description: {"references": ["Liu X, Li C, Mou C, Dong Y, Tu Y. (2020) dbNSFP v4: a comprehensive database of transcript-specific functional predictions and annotations for human nonsynonymous and splice-site SNVs. Genome Medicine. 12:103."]}
DOI: 10.5066/f7x928bn
title: Video data files to accompany USGS OFR 2015-1142--Assessment of existing and potential landslide hazards resulting from the April 25, 2015 Gorkha, Nepal earthquake sequence: U.S. Geological Survey Data Release

description: Video data and Google Earth KMZ files of 2015 Nepal Earthquake helicopter reconnaissance
DOI: 10.5281/zenodo.4329969
title: dbNSFP v4.1c

description: dbNSFP is a database developed for functional prediction and annotation of all potential non-synonymous single-nucleotide variants (nsSNVs) in the human genome. Update information and download links can be found at https://sites.google.com/site/jpopgen/dbNSFP. Webservice, update information, and download links can be found at http://database.liulab.science/dbNSFP. dbNSFP v4.1 is released on June 16 2020. BayesDel (https://doi.org/10.1002/humu.23158), ClinPred (https://doi.org/10.1016/j.ajhg.2018.08.005) and LIST-S2 (https://doi.org/10.1093/nar/gkaa288) scores have been added. CADD has been updated to v1.6, CADD score based on hg19 model has been added. gnomAD genomes have been updated to r3.0: populations AMI (Amish) and SAS (South Asian) have been added; controls have been removed. Clinvar, GTEx have been updated. HPO terms have been added to the dbNSFP_gene. search_dbNSFP programs now support searching SpliceAI (https://doi.org/10.1016/j.cell.2018.12.015) as an attached database, please refer to the readme files of the search_dbNSFP programs for details. Two branches of dbNSFP are provided: dbNSFP4.1a suitable for academic use, which includes all the resources, and dbNSFP4.1c suitable for commercial use, which does not include Polyphen2, VEST, REVEL, ClinPred, CADD, LINSIGHT, and GenoCanyon. dbNSFP4.1c can be downloaded here from zenodo or from softgenetics ftp or googledrive.
description: {"references": ["Liu X, Li C, Mou C, Dong Y, Tu Y. (2020) dbNSFP v4: a comprehensive database of transcript-specific functional predictions and annotations for human nonsynonymous and splice-site SNVs. Genome Medicine. 12:103."]}
DOI: 10.5066/p92n702p
title: Passive Integrated Transponder data for daily survival model in the West Brook, Whately, MA, 2000-2015

description: Recapture data for trout in a stream. Format is appropriate for CJS modelling.
DOI: 10.21429/xxmc-0050
title: Examples of vulnerability assessment tools and resources used or referenced in the State Wildlife Action Plans (SWAPs)

description: The project team examined State Wildlife Action Plans (SWAPs) from 15 southeastern states and Puerto Rico in order to: 1) identify the various approaches used to address climate change in the recent SWAP updates, 2) highlight key commonalities and differences among the states, and 3) improve understanding of the challenges and opportunities that state agencies face as they address climate change risks. Methods included detailed review of the SWAPs and follow-up interviews with SWAP coordinators. This dataset reviews examples of vulnerability assessment tools and resources used or referenced in the State Wildlife Action Plans.
DOI: 10.21429/k3y5-3g50
title: Examples of climate adaptation planning tools, approaches, and resources referenced in State Wildlife Action Plans (SWAPs) and Interviews

description: The project team examined State Wildlife Action Plans (SWAPs) from 15 southeastern states and Puerto Rico in order to: 1) identify the various approaches used to address climate change in the recent SWAP updates, 2) highlight key commonalities and differences among the states, and 3) improve understanding of the challenges and opportunities that state agencies face as they address climate change risks. Methods included detailed review of the SWAPs and follow-up interviews with SWAP coordinators. This dataset reviews examples of climate adaptation planning tools, approaches, and resources referenced in SWAPs and interviews.
DOI: 10.5066/f7sj1jjf
title: Isopach, lithic isopleth, and pyroxene, Fe-Ti oxide, and plagioclase geochemistry data for the Orange Tuff, West Java, Indonesia

description: The Orange Tuff is an informally named tephra-fall deposit that crops out extensively in the volcanic highlands to the south and southwest of Bogor, West Java, Indonesia. The data included in this data release documents the deposit thickness and maximum sizes of lithics present at sites throughout its distribution. Additional tables document dispersal areas calculated from within hand-drawn isopach and lithic isopleth maps based on the aforementioned thickness and lithic size data. Such area measurements will be used in the related subsequent publication listed in the metadata to derive eruption and deposit characteristics such as bulk volume and column height and to help determine the source volcano. The isopach and isopleth maps will also be reported as figures in the subsequent publication. Additional tables contain geochemical data from electron microprobe analyses of constituent plagioclase, Fe-Ti oxides, and orthopyroxenes. All analyses were carried out at Nanyang Technological University's electron microprobe laboratory. Analyses for plagioclase and pyroxenes were carried out using a 10 μm beam diameter, 15 keV accelerating voltage, and 20 nA beam current. Analyses for Fe-Ti oxides were carried out using a concentrated point beam, 15 keV accelerating voltage, and 20 nA beam current. Repeat geochemical analyses of standard reference materials yielded analytical uncertainty at the 99% confidence level of less than 1% of reported values. Detection limits for analyses of Fe-Ti oxides are as follows: TiO2 (0.02%), Al2O3 (0.013%), Cr2O3 (0.019%), FeO (0.018%), MnO (0.013%), MgO (0.011%). Detection limits for analyses of pyroxenes are as follows: SiO2 (0.02%), TiO2 (0.02%), Al2O3 (0.013%), FeO (0.013%), MnO (0.013%), MgO (0.011%), Na2O (0.007%). Detection limits for analyses of plagioclase are as follows: SiO2 (0.02%), TiO2 (0.02%), Al2O3 (0.011%), FeO (0.018%), MnO (0.013%), MgO (0.01%), CaO (0.006%), Na2O (0.007%), and K2O (0.004%). To maintain data quality, plagioclase and pyroxene analyses with totals below 98.5% and exceeding 101% were excluded. For magnetite, analyses with totals below 91.5% and exceeding 95.25% were excluded, which correspond to totals of 98% and 101% after adjustment for allowable stoichiometric substitution of ferric and ferrous iron were excluded. For ilmenite, analyses with totals below 96.4% and exceeding 99.7% were excluded, which correspond to totals of 98% and 101% after adjustment for allowable stoichiometric substitution of ferric and ferrous iron were excluded.
DOI: 10.5066/p9c2h7f4
title: Data for Time Scales of Arsenic Variability and the Role of High-Frequency Monitoring at Three Water-Supply Wells in New Hampshire, USA

description: This data release consists of data (in four tables) for assessing the time scales of arsenic variability in three production wells in New Hampshire; tables that describe the data fields in the data tables are also included in the data release. High-frequency (every 5 to 15 minutes) and bi-monthly water-quality monitoring of a bedrock-aquifer domestic well (425651070573701), a bedrock-aquifer public-supply well (425400070545401), and a glacial-aquifer public-supply well (425311070535801) was completed between 2014 and 2018. Concentrations of arsenic and other geochemical constituents and dissolved gases, as tracers of groundwater age, were measured on a bimonthly basis; physicochemical data, including specific conductance, pH, dissolved oxygen, pumping rate, and water level were measured at high-frequency intervals (every 5 to 15 minutes). Attached Files Table_1_DGmodel2014-18.xlsx Detailed information on the calibration of dissolved gas models to dissolved gas concentrations (neon, argon, krypton, xenon, nitrogen, oxygen, carbon dioxide, methane, hydrogen, and nitrous oxide). Table_2_Tracers2014-18.xlsx Detailed information on calculations of environmental tracer data. Table_3_TracerLPM2014-18.xlsx Dissolved gas modeling results, environmental tracer concentrations (tritium, tritiogenic helium-3, sulfur hexafluoride, carbon-14, and chlorofluorocarbons [CFCs], and results for the mean age of groundwater by calibration of lumped parameter models to tracer concentrations. Table_4_ConcentrationsValues2014-18.xlsx Values of selected physiochemical parameters collected during well purging and selected chemical concentrations from filtered samples collected on various dates at each well; includes physical characteristics, depth to water, and pumping rate, calculated from continuous data.
DOI: 10.5066/p9qjq6lc
title: Database for the Geologic Map of the Lassen Peak, Chaos Crags, and Upper Hat Creek Area, California

description: This is a database of the geologic map of the Lassen Peak, Chaos Crags, and Upper Hat Creek volcanic area as described in the original abstract: The Lassen Peak, Chaos Crags, and Upper Hat Creek map area lies near the southern end of the Cascade Range in northern California. The map area includes parts of the three elements that together form the Lassen volcanic center: the Lassen dacitic dome field, the Central Plateau andesitic lava field, and the underlying deeply eroded and partly altered Brokeoff andesitic stratocone. The Lassen volcanic center is the southernmost active long-lived center of the present-day Cascades volcanic arc. This geologic map contributes to understanding the youngest major volcanic events in the evolution of the Lassen dacitic dome field and provides the basis for a revised assessment of its volcano hazards by emphasizing the youngest eruptive products of the dome field. The most recent eruptive activity, mainly steam-blast eruptions, occurred intermittently between May, 1914, and June, 1917, and climaxed during a week of magmatic eruptions of Lassen Peak in May, 1915. The original report consists of a geologic map and an accompanying explanatory pamphlet. Geologic mapping was compiled at a scale of 1:24,000 for the entire mapping area with some 1:2,500-scale mapping for the summit area of Lassen Peak. The geologic mapping was compiled as a digital geologic map database in ArcInfo GIS format.