cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p9ushpmj
title: Application of the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System (NHM-PRMS), Uncalibrated Version

description: This data release contains output and components of the initial conterminous United States (CONUS) application of the Precipitation-Runoff Modeling System (PRMS) as implemented in the National Hydrologic Model (NHM) infrastructure (Regan et al, 2018). The PRMS version 5.0.0 hydrologic simulation code was used with the accompanying parameter files in the NHM infrastructure to produce the attached output files. Model input climate drivers include climate data derived from the Daymet gridded data set version 2 (Thornton et al., 2014) with values spatially-distributed to the HRUs using the USGS Geo Data Portal (https://cida.usgs.gov/gdp/; Blodgett et al., 2011). The parameter values are maintained in the National Hydrologic Model Parameter Database (NhmParamDb; Driscoll et al., 2017). Parameter values for all but the initial snowpack water equivalent (parameter snowpack_init) and snow depletion curves (parameters hru_deplcrv and snarea_curve) from the NhmParamDb were used, the parameter file used to produce these model results is attached (NHM-PRMS.zip). The initial snowpack water equivalent was set to zero and a single default depletion curve was used for all hydrologic response units (HRUs). The NHM-PRMS simulations were conducted with the same configuration for a time period from October 1, 1990 to December 31, 2016. The first three years of the simulations are considered model spin up and not included in the output files. Thus, the output files have a time period of October 1, 1993 to December 31, 2016. Eighty-eight variables were selected to generate individual *.csv files. These file names follow a naming convention of using an abbreviation for the spatial dimension of the model output (nhru or nsegment) _variable name.csv. The variable names included are defined further in Table 1, attached. The structure of each output file includes a header line which labels the columns by the spatial unit (hru or stream segment) identification number and each row has the date followed by either 109951 or 56460 values, depending the output variable dimension nhru or nsegment, respectively. See table 1-10 in Regan and LaFontaine (2017) for a description of the variables included in this file. To distribute parameter and output values spatially, a join can be completed by using the nhru_ID or nseg_ID from the variable and the hru_ID from the national-extent Geospatial Fabric.
DOI: 10.6084/m9.figshare.23502300.v1
title: <strong>Vietnam National Competency Standards for Midwifery: A Delphi Study</strong>

description: This study uses a Delphi approach to create competency requirements for midwifery in Vietnam. A literature review served as the foundation for the initial development of the draught midwifery competency standard. A two-round Delphi survey was completed by midwives and professionals who deal with midwives to assess the applicability of standards of competence on a four-point Likert scale. In the second round, the criteria having a consensus of less than 80% underwent revision. The study's findings showed that most participants ranked midwifery competency as quite relevant or higher.
DOI: 10.4225/08/51400d6f7b335
title: Satellite ASTER Geoscience Map of Australia

description: The ASTER geoscience map of Australia is a set of digital geoscience products generated from satellite ASTER data. ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) is a Japanese imaging instrument on board USA’s TERRA satellite. The multispectral imaging sensor is the world’s first “geoscience tuned” satellite Earth Observing System. The ASTER geoscience maps of Australia represent the first continent-scale maps of the Earth’s surface mineralogy. ASTER has 14 spectral bands spanning wavelengths sensitive to important rock forming minerals, including: Iron oxides; clays; carbonates; quartz; muscovite and chlorite. Each ASTER image covers a 60 by 60 km area with individual pixel elements ranging from 15 to 90 m suitable for geoscience mapping from continent (1:2,500,000) down to mineral prospect (1:50,000) scale. The Australian mosaic is sourced from ~35,000 ASTER scenes with approximately 3500 used in the final mosaic. The products are: False colour; CSIRO Landsat TM Regolith Ratios; Green vegetation content; Ferric oxide content; Ferric oxide composition; Ferrous iron index; Opaque index; AIOH group content; AIOH group composition; Kaolin group index; FeOH group content; MgOH group content; MgOH group composition; Ferrous iron content in MgOH/carbonate; Silica Index; Quartz Index; Gypsum Index.
DOI: 10.5066/f7ns0scw
title: National Hydrologic Model for PRMS Parameter Database: 2017 Snapshot Release

description: Parameter values for the National Hydrologic Model (NHM) for the Precipitation Runoff Modeling System (PRMS), pulled from the NhmParamDb (a git version-controlled database) to provide a static set of baseline parameter values.
DOI: 10.5281/zenodo.2626737
title: Global Seasonal Mountain Snow Mask from MODIS MOD10A2

description: Seasonal Mountain Snow (SMS) mask derived from MODIS MOD10A2 snow cover extent and GTOPO30 digital elevation model produced at 30 arcsecond spatial resolution. Three datasets are provided: the Seasonal Mountain Snow mask (MODIS_mtnsnow_classes), a seasonal snow cover classification (MODIS_snow_classes), and cool-season cloud percentages (MODIS_clouds). The classification systems are as follows: MODIS_snow_classes: 0: Little-to-no snow 1: Indeterminate due to clouds 2: Ephemeral snow 3: Seasonal snow MODIS_mtnsnow_classes: 0: Mountains with little-to-no snow 1: Indeterminate due to clouds 2: Mountains with ephemeral snow 3: Mountains with seasonal snow MODIS_clouds 0: &lt; 5% of clouds during the cool season (defined Oct.-Mar. for Northern Hemisphere and Apr.-Sep. for Southern Hemisphere) 1: 5% cool-season days with cloud cover 2: 10% cool-season days with cloud cover 3: 20% cool-season days with cloud cover 4: 30% cool-season days with cloud cover 5: 40% cool-season days with cloud cover 6: 50% cool-season days with cloud cover For manuscript "Characterizing biases in mountain snow accumulation from global datasets" submitted to WRR
description: See manuscript for additional details. Wrzesien, M. L., Pavelsky, T. M., Durand, M. T., Dozier, J., & Lundquist, J. D. ( 2019). Characterizing biases in mountain snow accumulation from global datasets. Water Resources Research, 55. https://doi.org/10.1029/2019WR025350
DOI: 10.5967/m0hx19tt
title: TDB-10-1
DOI: 10.6084/m9.figshare.22015592
title: Comparing FY-2F/CTA products to ground-based manual total cloud cover observations in Xinjiang under complex underlying surfaces and different Weather Conditions

description: <strong>Comparing</strong> <strong>FY-2F/CTA products to ground-based manual</strong> <strong>total cloud cover observations</strong> <strong>in Xinjiang under complex underlying surfaces and different</strong> <strong>Weather Conditions</strong>
DOI: 10.17882/59624
title: IAOOS winter SIMBA data during N-ICE 2015 North of Svalbard

description: Two ice mass balance instruments (part of IAOOS7 and IAOOS8 platforms) deployed near 83°N on the same ice floe, documented the evolution of snow and ice conditions in the Arctic Ocean north of Svalbard in Jan-Mar 2015. Frequent profiles of temperature (every 3 hours) and temperature change after 30s and 120s heating (once a day) were recorded. The ratio of the temperature changes after heating provides a proxy for thermal diffusivity. Both instruments documented flooding and snow-ice formation. Flooding was clearly detectable in the simultaneous changes in thermal diffusivity proxy, increased temperature, and heat propagation through the underlying ice. Slush then progressively transformed into snow-ice. Flooding resulted from two different processes; i) after storm-induced break-up of snow-loaded floes for IAOOS8 and ii) after loss of buoyancy due to basal ice melt for IAOOS7. The instrument on IAOOS7 documented basal sea-ice melt over warm Atlantic waters and ocean-to-ice heat flux peaked at up to 400 Wm-2 in winter.
DOI: 10.17882/59709
title: Interfaces and Ocean Heat Flux derived from SIMBA_2015a and SIMBA_2015f data during N-ICE campaign in winter 2015.

description: We defined the interfaces between the air/snow, snow/ice, and ice/ocean and calculated the ocean heat flux for two SIMBA recordings (SIMBA2015a and SIMBA_2015f) of repeated temperature profiles at 6h interval and 2cm vertical resolution, during N-ICE 2015 experiment floe1. - The snow/ice interface is derived from the sharp contrast in the diffusivity proxy values between both media. The snow/ice interface does not change except for slush formation associated with flooding events. - The air/snow interface is calculated using simultaneous information from the vertical gradient of the temperature and the standard deviation over 24, 48, and 72 h period. Snow accumulation of more than 10 centimeters happened at different time for the 2 SIMBA. - The ice/ocean interface is estimated from temperature profiles alone since the winter sea-ice remains colder than the ocean. The ocean just below the ice is at or just above the freezing temperature (estimated from a near surface conductivity-temperature-depth (CTD) sensor see Koenig et al. [2016]). The method detects (1) the first sensor, downward of the snow/ice interface, with a temperature above the ocean freezing temperature and (2) the last sensor in the ice with a temperature below the mean ocean temperature by at least twice the ocean temperature standard deviation in that profile. The ice/ocean interface is then defined as half way between the last sensor in the ice and the first sensor in the ocean. Note it take 3-4 days for the deployment hole to refreeze. Then the ice thickness remains constant up to 20 February when floe1 breaks. Simba_2015f stops working and SIMBA_2015a features basal melt events corresponding to temperature changes in the ocean. The consistency of the 3 interfaces estimate is validated with the thermal diffusivity proxy and the vertical and temporal derivatives of temperature. - The ocean heat flux is derived from the latent heat flux which is directly proportional to the change in time of the ice/ocean interface depth and the conductive heat flux in the lower portion of the ice estimated 6 cm above the ice/ocean interface. The ocean heat flux values for SIMBA_2015a and SIMBA2015f range from -50 to 350 W/m2, and -50 to 150 W/m2 respectively, while the basal melt events associated with ocean temperature increase stand out in SIMBA_2015a. The SIMBA data are available through the Norwegian Polar Institute’s data center (https://data.npolar.no/dataset/6ed9a8ca-95b0-43be-bedf-8176bf56da80) and the method of interface detection is thoroughly described in Provost et al. (2017). Note that all time series have been smoothed with a 36-h running mean. Provost, C., N. Sennechael, J. Miguet, P. Itkin, A. Rosel, Z. Koenig, N. Villacieros-Robineau, and M. A. Granskog (2017), Observations of flooding and snow-ice formation in a thinner Arctic sea-ice regime during the N-ICE2015 campaign: Influence of basal ice melt and storms, J. Geophys. Res. Oceans, 122, 7115–7134, doi:10.1002/2016JC012011.
DOI: 10.4225/08/54c96117894c4
title: 0.01 degree stack of climate layers for continental analysis of biodiversity pattern, version 1.0

description: These data provide rasterised layers of climatic variables hypothesised to explain spatial patterns in biological diversity at continental scales for use with statistical modelling tools.  Specifically, these data were derived for modelling the compositional pattern of multiple species with environmental factors such as climate, soil and topography using the statistical technique Generalised Dissimilarity Modelling applied to continental Australia.
Climate variables are monthly mean values for minimum temperature, maximum temperature, relative humidity, vapour pressure, precipitation, aridity, solar radiation, evaporation, wind and others. Some of these monthly variables were used to generate growth indices (using the GROCLIM module of ANUCLIM).
These data for Generalised Dissimilarity Modelling (GDM) analysis were masked to consistently define data/nodata values and supplied in DIVA-GIS floating-grid format in the WGS84 geographic reference system.

NOTE: Full details of the data, with a list of data sources and bibliography, are provided in a PDF file included as part of the data collection.
DOI: 10.5063/f1n29tw1
title: California Drought Assessment

description: Drought is a global issue that is exacerbated by climate change and increasing anthropogenic water demands. The recent occurrence of drought in California provides an important opportunity to examine drought response across ecosystem classes (forests, shrublands, grasslands, and wetlands), which is essential to understand how climate influences ecosystem structure and function. We quantified ecosystem resilience to drought by comparing changes in satellite derived estimates of water use efficiency (WUE = net primary productivity (NPP)/ evapotranspiration (ET)) under baseline and drought conditions (Î WUE = WUE2014 â   baseline WUE). With this method, areas with increasing WUE under drought conditions are considered more resilient than systems with declining WUE. Changes in water availability had a significant effect on carbon (C) dynamics in California ecosystems. Baseline WUE varied across California (0.08 to 3.85 g C mm-1 H2O) and WUE generally increased under extreme drought conditions in 2014 (p&lt; 0.001; R2 = 0.83). Strong correlations between Î WUE, precipitation and LAI indicate possible physiological response to drought. For instance, ecosystems with a lower average leaf area index (LAI, i.e. grasslands) maintained greater C uptake rates when water was limiting by increasing WUE and/or elevating carbon uptake efficiency (CUE = NPP/ LAI). We also found that systems with a baseline WUE â ¤ 0.4 exhibited lower WUE under drought conditions, suggesting that a low baseline WUE and Î WUE is indicative of low drought resilience. Drought severity, precipitation and WUE were identified as important drivers of shifts in ecosystem classes over the study period. These findings have important implications for understanding climate change effects on primary productivity and C sequestration across ecosystems and how this may influence ecosystem resilience in the future.
DOI: 10.5517/ccdc.csd.cc27hq5n
title: CCDC 2070681: Experimental Crystal Structure Determination

description: Related Article: Michael Bolte|2021|CSD Communication|||
DOI: 10.6084/m9.figshare.23804091.v1
title: Evaluation of sequence hybridization for respiratory viruses using the Twist Bioscience Respiratory Virus Research panel and the OneCodex Respiratory Virus sequence analysis workflow

description: Supplementary material for 'Evaluation of sequence hybridization for respiratory viruses using the Twist Bioscience Respiratory Virus Research panel and the OneCodex Respiratory Virus sequence analysis workflow', as described in Microbial Genomics.Results from simulation experiments testing known concentrations of synthetic virus controls (influenza H3N2, rhinovirus 89 and SARS-CoV-2) using the Twist Biosciences RVR Panel/OneCodex Respiratory Virus workflow.
DOI: 10.5066/p9ucgt2f
title: Water level, temperature and chemistry in a deep well on the summit of Kilauea Volcano, Hawaii

description: Kilauea, on the Island of Hawaii is one of the world's most active volcanoes and it hosts one of the densest volcano monitoring networks. A deep well on the southwest rim of Kilauea's caldera, often referred to informally as the &quot;NSF Well&quot; or the &quot;Keller Well&quot; was drilled in 1973 to a depth of 1,262 meters from an elevation of 1,103 meters. The ultimate goal of the drilling project was to &quot;test predictions made from surface-based geophysical surveys and seek evidence of a hydrothermal system over a known magma body&quot; (Zablocki et al., 1974; Keller et al., 1979). Following drilling the open hole filled up with drilling mud and in October 1998 the hole was cleared of the mud using a large pump to a depth of about 2,200 feet (~670 meters). Cleaning of the well renewed access to the hydrothermal system very close to the loci of magmatic and fumarolic activity. Following drilling in 1973 and then again in 1999 downhole water level and temperature measurements were made (Keller et al., 1979; Hurwitz et al. 2002). In July 2000, a package of geodetic and seismic instruments was installed in the unsaturated part of the well at a depth of 1,200 feet (366 meters) below the ground surface. A 2-inch (OD) PVC pipe between the instruments and the surface allowed for water level and temperature measurements and waster sampling to continue. Between February and June 2001, water level in the well was measured with a gas line and two pressure transducers (Hurwitz and Johnston, 2003). Further attempts for continuous instrumental water level measurements by the USGS have failed. The well was sampled several times between October 1998 and March 2002 for water chemistry and isotope analyses (Hurwitz et al., 2003). It was revealed that the chemical and isotopic compositions of the post-cleaning samples differ remarkably from water samples collected before cleaning. Between March 2002 and May 2011, U.S. Geological Survey scientists have made periodic water level measurements and collected water samples for limited chemical and isotopic analysis. The goal of this effort was to track changes in water level and the concentrations of magmatic volatiles (chlorine, sulfur and carbon dioxide) dissolved in groundwater in relation to volcanic activity in Kilauea. The data presented here includes water level measurements, anion (sulfate, chloride, and fluoride) concentrations, and oxygen and deuterium isotopes of sampled waters, and two temperature profiles that were measured in 2008 and 2019.
DOI: 10.5281/zenodo.1209371
title: Calibrated Radarsat-2 Soil Moisture Retrievals At The Trail Valley Creek Study Site

description: Calibrated soil moisture retrievals from Radarsat-2 along with in-situ soil moisture/soil temperature observations over 14 sites (in two different plots) in the Trail Valley Creek study area.<br>
The data are compiled in two records: i) satellitetime (at the time of the satellite overpass: 2014 and 2016), and ii) timeseries (dense time series: 2014 only; 2016 already published at doi:10.5683/SP/NDTRLG).
description: The authors are grateful to Beth Wrona, William Woodley, Justin Adams, Tracy Rowlandson and Rachel Humphrey for their efforts in collecting field data. They acknowledge funding by the Canadian Space Agency, ArcticNet, NSERC (Discovery Grants Program; Changing Cold Regions Network). Simon Zwieback was supported by the Swiss National Science Foundation (P2EZP2_168789).
DOI: 10.5281/zenodo.6787658
title: Tutorial datasets for Dictys

description: This includes several tutorial datasets for Dictys' context specific and dynamic gene regulatory network inference and analysis. See Dictys and its tutorial instructions at https://github.com/pinellolab/dictys.
DOI: 10.5967/m07d2s7q
title: TDB_13_1
DOI: 10.6084/m9.figshare.7374197
title: Global synthesis of temperature sensitivity of soil organic carbon decomposition: latitudinal patterns and mechanisms

description: This is the dataset for the article "Global synthesis of temperature sensitivity of soil organic carbon decomposition: latitudinal patterns and mechanisms" by Wang et al. (2018)
DOI: 10.6084/m9.figshare.978501
title: Gaussian Job Archive for C58H118

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.21335/nmdc-1721053841
title: Physical oceanography from Mooring UiB1 and UiB4 in the Amundsen Sea

description: Ocean currents, temperature and pressure time series from two oceanographic moorings deployed in the Siple Trough, the trough west of Siple island leading in to the western front of the Getz ice shelf in the Amundsen Sea, Antarctica. The moorings (UiB1 and UiB4) were deployed/retrieved from RV.  Araon in January 2016/2018 and consisted of ADCP:s (RDI) and temperature/pressure sensors (Seabird Electronics; SBE56, SBE39, SBE37). The time resolution is 2h or higher. In total 4 txt-files are provided, two for each mooring. Details on the mooring design and instrument set-up are given in the cruise reports while the data processing is described in a separate document. Part of the data set is reported on in Assmann, Darelius, Wåhlin, Kim and Lee., 2019 (GRL).
DOI: 10.24432/c53c78
title: Leaf
DOI: 10.4121/20193302.v1
title: Resolving power phantom for nanoparticles

description: A SolidWorks model for a phantom used to assess the detection depth and resolving power of the radioactive and magnetic tracers. The phantom consists of 13 column-wise triplet holes accurately positioned to mimic clinical situation.
DOI: 10.5066/f72f7kpc
title: Toxicity and chemistry data from an evaluation of metal-contaminated sediments from the Upper Columbia River, Washington, 2013-2014

description: This resource contains chemistry and toxicity data from sediment toxicity tests conducted by the USGS Columbia Environmental Research Center with 66 sediment samples collected from in and around the Upper Columbia River in the fall of 2013. Toxicity testing was conducted from fall 2013 through summer 2014 with the amphipod, Hyalella azteca, the midge Chironomus dilutus, and the mussel Lampsilis siliquoidea. Short-term toxicity endpoints (10-28 d) included survival, weight, and biomass of all test organisms. Long-term tests with amphipods (42 d) and midges (about 50 d) included reproduction endpoint. Sediments were analyzed for physical and chemical characteristics, including particle size distribution, total organic carbon, acid volatile sulfide, slag content, and concentrations of metals in total-recoverable and simultaneously-extracted fractions. Porewaters were separated by centrifugation and by peepers (diffusion samplers) and were analyzed for filterable metals, dissolved organic carbon, and major ions. These data are intended to be used to characterize concentration-response relationships between metals concentrations and toxicity endpoints and to estimate site-specific toxicity thresholds for select metals or metal mixtures. These hresholds will be used to evaluate risks or injuries to the benthic invertebrate community associated with exposure to contaminated sediments and to develop goals for remediation of sediments of the Upper Columbia River.
DOI: 10.5066/f7833r9d
title: 2016-2017 Geophysical data from the Kuparuk aufeis, North Slope, AK

description: This release contains geophysical data from the Kuparuk aufeis associated with the manuscript "Seasonal thaw dynamics of an aufeis feature inferred from surface geophysical methods." Data were collected in two campaigns in September 2016 and April 2017 with the purpose of investigating freeze-thaw dynamics below the aufeis feature during maximally frozen and maximally thawed conditions. Ground penetrating radar common offset data from both campaigns (160MHz and 80MHz) is presented, including interpreted depths to interfaces (permafrost, ice-frozen ground interface, and talik surface). Surface nuclear magnetic resonance data and inverse results are also included from April 2017 as well as interpreted talik thicknesses. Temperature data from 46 wells installed to 1 m depth below the feature from September 1, 2016 to May 1, 2017 are also presented. Fodar orthoimages and DEM data from April 2017 and September 2017 are included, as well as ice thickness estimated from the difference in these DEMs.