cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14905941.v1
title: Additional file 3 of How do specialist surgeons treat the atrophic tooth gap? A vignette-based study among maxillofacial and oral surgeons

description: Additional file 3: S2. Table with raw data.
DOI: 10.6084/m9.figshare.14905968
title: Additional file 4 of ALKBH3 partner ASCC3 mediates P-body formation and selective clearance of MMS-induced 1-methyladenosine and 3-methylcytosine from mRNA

description: Additional file 4: Table S1. Results from SILAC analysis of RBPs after MMS treatment.
DOI: 10.6084/m9.figshare.14905968.v1
title: Additional file 4 of ALKBH3 partner ASCC3 mediates P-body formation and selective clearance of MMS-induced 1-methyladenosine and 3-methylcytosine from mRNA

description: Additional file 4: Table S1. Results from SILAC analysis of RBPs after MMS treatment.
DOI: 10.6084/m9.figshare.14906040.v1
title: Additional file 2 of A radiosensitizer, gallotannin-rich extract from Bouea macrophylla seeds, inhibits radiation-induced epithelial-mesenchymal transition in breast cancer cells

description: Additional file 2: Table S3. The overview of protein identifications and quantifications for MCF7 cells treated with IR or IR + MPSE. Table S4. qRT-PCR raw-data for the EMT-related gene (Article Fig. 3) and CSCs-related gene (Article Fig. 4).
DOI: 10.6084/m9.figshare.14906040
title: Additional file 2 of A radiosensitizer, gallotannin-rich extract from Bouea macrophylla seeds, inhibits radiation-induced epithelial-mesenchymal transition in breast cancer cells

description: Additional file 2: Table S3. The overview of protein identifications and quantifications for MCF7 cells treated with IR or IR + MPSE. Table S4. qRT-PCR raw-data for the EMT-related gene (Article Fig. 3) and CSCs-related gene (Article Fig. 4).
DOI: 10.6084/m9.figshare.14906067
title: Additional file 2 of Tumor protein D52 is upregulated in oral squamous carcinoma cells under hypoxia in a hypoxia-inducible-factor-independent manner and is involved in cell death resistance

description: Additional file 2: Table S1. Primer pairs (sense and antisense strands) used for RT-qPCR in the present study.
DOI: 10.6084/m9.figshare.14906067.v1
title: Additional file 2 of Tumor protein D52 is upregulated in oral squamous carcinoma cells under hypoxia in a hypoxia-inducible-factor-independent manner and is involved in cell death resistance

description: Additional file 2: Table S1. Primer pairs (sense and antisense strands) used for RT-qPCR in the present study.
DOI: 10.6084/m9.figshare.14906089
title: Additional file 2 of Kdm3b haploinsufficiency impairs the consolidation of cerebellum-dependent motor memory in mice

description: Additional file 2: Supplementary Table 1. List of differentially expressed (DEX) genes (509 genes).
DOI: 10.6084/m9.figshare.14906089.v1
title: Additional file 2 of Kdm3b haploinsufficiency impairs the consolidation of cerebellum-dependent motor memory in mice

description: Additional file 2: Supplementary Table 1. List of differentially expressed (DEX) genes (509 genes).
DOI: 10.6084/m9.figshare.14906092
title: Additional file 3 of Kdm3b haploinsufficiency impairs the consolidation of cerebellum-dependent motor memory in mice

description: Additional file 3: Supplementary Table 2. Gene ontology (GO) analysis of DEX genes.
DOI: 10.6084/m9.figshare.14906092.v1
title: Additional file 3 of Kdm3b haploinsufficiency impairs the consolidation of cerebellum-dependent motor memory in mice

description: Additional file 3: Supplementary Table 2. Gene ontology (GO) analysis of DEX genes.
DOI: 10.6084/m9.figshare.14906131
title: Additional file 3 of Mandibular range of motion in children with juvenile idiopathic arthritis with and without clinically established temporomandibular joint involvement and in healthy children; a cross-sectional study

description: Additional file 3.
DOI: 10.6084/m9.figshare.14906131.v1
title: Additional file 3 of Mandibular range of motion in children with juvenile idiopathic arthritis with and without clinically established temporomandibular joint involvement and in healthy children; a cross-sectional study

description: Additional file 3.
DOI: 10.6084/m9.figshare.14906170
title: Additional file 2 of Health system costs of rheumatic heart disease care in South Africa

description: Additional file 2. The RHD costing spreadsheet.
DOI: 10.6084/m9.figshare.14906170.v1
title: Additional file 2 of Health system costs of rheumatic heart disease care in South Africa

description: Additional file 2. The RHD costing spreadsheet.
DOI: 10.6084/m9.figshare.14906178.v1
title: Additional file 1 of Estimating regional prevalence of chronic hepatitis C with a capture-recapture analysis

description: Additional file 1: Supplementary Figure 1. Capture-recapture analysis: the estimated/recorded population size ratio and the HCV population size estimation. A: The ratio between the estimated and baseline HCV population size was calculated for each distance including for the 95% confidence intervals. B: A capture-recapture analysis was performed on different HCV patients selections based on their residency distance from the Utrecht city center with incremental steps of 10-kilometer. HCV population size estimates with 95% confidence intervals are depicted for each distance.
DOI: 10.6084/m9.figshare.14906178
title: Additional file 1 of Estimating regional prevalence of chronic hepatitis C with a capture-recapture analysis

description: Additional file 1: Supplementary Figure 1. Capture-recapture analysis: the estimated/recorded population size ratio and the HCV population size estimation. A: The ratio between the estimated and baseline HCV population size was calculated for each distance including for the 95% confidence intervals. B: A capture-recapture analysis was performed on different HCV patients selections based on their residency distance from the Utrecht city center with incremental steps of 10-kilometer. HCV population size estimates with 95% confidence intervals are depicted for each distance.
DOI: 10.6084/m9.figshare.14906205
title: Additional file 5 of Early response of methanogenic archaea to H2 as evaluated by metagenomics and metatranscriptomics

description: Additional file 5: Table S1. Comparison of bins identified using the GTDB database with Bio-Gas Microbiome database. The two bins containing high quality metagenomes, which did not find their corresponding MAGs are highlighted. Percent AAI stands for percent amino acid identity. # Indicates the bins, which were not identified by the one or both of the databases.
DOI: 10.6084/m9.figshare.14906205.v1
title: Additional file 5 of Early response of methanogenic archaea to H2 as evaluated by metagenomics and metatranscriptomics

description: Additional file 5: Table S1. Comparison of bins identified using the GTDB database with Bio-Gas Microbiome database. The two bins containing high quality metagenomes, which did not find their corresponding MAGs are highlighted. Percent AAI stands for percent amino acid identity. # Indicates the bins, which were not identified by the one or both of the databases.
DOI: 10.6084/m9.figshare.14169884
title: supplemental files

description: <b>The aging accelerated differential network reveals key characteristics of LncRNA-mRNA across 14 cancer types</b><b></b>
DOI: 10.6084/m9.figshare.14169884.v2
title: supplemental files

description: <b>The aging accelerated differential network reveals key characteristics of LncRNA-mRNA across 14 cancer types</b><b></b>
DOI: 10.6084/m9.figshare.14169884.v1
title: supplemental files.zip

description: <b>The aging accelerated differential network reveals key characteristics across 14 cancer types</b><b></b>
DOI: 10.5281/zenodo.4910313
title: Along- and across-strike variations in erosion in the southern Longmen Shan thrust belt based on low-temperature thermochronology and fluvial shear stress analyses

description: Supplementary tables S1-S7 for manuscript entitled "<em>Along- and across-strike variations in erosion in the southern Longmen Shan thrust belt based on low-temperature thermochronology and fluvial shear stress analyses</em>" by Yijia Ye, Xibin Tan, Yiduo Liu, Chao Zhou, Feng Shi, Yuan-Hsi Lee, and Michael A. Murphy.
DOI: 10.5281/zenodo.4681381
title: Along- and across-strike variations in erosion in the southern Longmen Shan thrust belt based on low-temperature thermochronology and fluvial shear stress analyses

description: Supplementary tables S1-S7 for manuscript entitled "<em>Along- and across-strike variations in erosion in the southern Longmen Shan thrust belt based on low-temperature thermochronology and fluvial shear stress analyses</em>" by Yijia Ye, Xibin Tan, Yiduo Liu, Chao Zhou, Feng Shi, Yuan-Hsi Lee, and Michael A. Murphy.
DOI: 10.5066/f7n58jfq
title: Appendix C of Scientific Investigations Report 2015-5175, Model archive of Pahute Mesa - Oasis Valley groundwater flow model

description: The dataset is a model archive containing all relevant files to document and re-run the models that are discussed in the report: Fenelon, J.M., Halford, K.J., and Moreo, M.T., 2016, Delineation of the Pahute Mesa-Oasis Valley groundwater basin, Nevada: U.S. Geological Survey Scientific Investigations Report 2015-5175, http://dx.doi.org/10.3133/sir20155175. The dataset is appendix C of the subject report.
DOI: 10.5066/f7rn36rg
title: Coal drill hole database for the Little Snake River coal field and Red Desert area, Wyoming

description: The U.S. Geological Survey conducted an assessment of coal resources and reserves in the Little Snake River coal field and Red Desert area of the Greater Green River Basin in Southwest Wyoming. A comprehensive database was compiled to support this assessment that includes data points for drill-holes and measured sections. Associated with these resources are lithology descriptors, (focusing on coal beds of varying depth) as well as coal quality data. Sources of data includes the USGS National Coal Resources Data System (NCRDS), Anadarko Land Corporation (Anadarko), Wyoming Oil and Gas Conservation Commission (WOGCC), and previously unpublished data in USGS files. The primary table describes the sample location and contains 4,214 data points with 2,593 coal drill holes, 1,101 oil, gas, and coalbed methane (CBM) wells, and 520 measured sections. A second table documents coal lithology and correlated formation & coal bed names. This table has 78,701 stratigraphic records. Coal quality analytical data existed for 299 drill holes for a total of 906 records which reside in the third table. A unique identifier is assigned to each table to link the related records.
DOI: 10.5066/p9zek5m1
title: Early Estimates of Herbaceous Annual Cover in the Sagebrush Ecosystem (May 1, 2019)

description: The dataset provides a spatially explicit estimate of 2019 herbaceous annual percent cover predicted on May 1st with an emphasis on annual grasses. The estimate is based on the mean output of two regression-tree models. For one model, we include, as an independent variable amongst other independent variables, a dataset that is the mean of 17-years of annual herbaceous percent cover (https://doi.org/10.5066/F71J98QK).
DOI: 10.5066/p9wyn7dk
title: Analysis of Escherichia coli, total recoverable iron, and dissolved selenium concentrations and loads for 303(d) listed segments in the Grand Valley, Colorado, 1991-2018

description: The U.S. Geological Survey, in cooperation with Grand Valley Drainage District, Colorado Water Conservation Board, Colorado Department of Public Health and Environment, and Colorado River Water Conservation District, conducted a loading analysis for selected constituents and tributaries in the Grand Valley, Colorado, to support the development of total maximum daily loads (TMDL) at monitoring locations on U.S. Environmental Protection Agency 303(d) listed segments. The data tables include Escherichia coli, total recoverable iron, and dissolved selenium concentrations, streamflow data, and computed loads as well as dissolved selenium regression model diagnostics and results. Concentration and streamflow data were compiled from the Water Quality Portal with data from the U.S. Geological Survey, Colorado Department of Public Health and Environment, and Colorado Riverwatch. Tables include monitoring location identification information, data collection time frames, concentration data, as well as calculations of means, medians, select percentiles, and percent reduction in loads to meet state regulatory standards for computed loads during both irrigation and non-irrigation seasons.
DOI: 10.5066/p9z2qicu
title: Lidar point cloud, raster, mapping, analysis, and photographic data for streambank erosion and related geomorphic change in Tuolumne Meadows, Yosemite National Park, California, USA

description: These data are derived from four lidar surveys: one airborne survey in 2006 and three terrestrial surveys in 2016, 2017, and 2018. These surveys were used to generate better quantitative understanding of changes associated with fluvial system process along the reach of the Tuolumne River as it traverses Tuolumne Meadows. This research was performed to provide science for decision support as the National Park Service makes restoration and management decisions in accordance with the Tuolumne Wild and Scenic River Final Comprehensive Management Plan.
DOI: 10.5066/p93r270d
title: Low-altitude visible, multispectral, and thermal-infrared imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Wisconsin Bioreactor

description: These orthophotos and digital surface model (DSM) were derived from low-altitude (approximately 92-m above ground surface) images collected from Unmanned Aerial System (UAS) flights over edge-of-field sites that are part of U.S. Geological Survey (USGS) Great Lakes Restoration Initiative (GLRI) monitoring. The objective of this UAS photogrammetry data collection was to provide information on the tile-drain network in individual fields with the goal of understanding already observed patterns in runoff amount and water quality from these sites. A 3DR Solo quadcopter served as the flight vehicle, flights were pre-planned using Mission Planner, and flights were flown using Tower. Geospatial data were originally in WGS84 and projected to a local coordinate system for each site. Visible color (Vis-C) imagery was collected with a Ricoh GRII as a single band. Multispectral (MS) imagery was collected with a MicaSense RedEdge 3 as five co-located bands: blue (B; approximately 475-500 nanometers [nm]), green (G; 550-560 nm), red (R; 660-670 nm), red-edge (710-720 nm), and near infrared (NIR; 820-860 nm). Thermal-infrared (TIR) data were collected using a FLIR Vue Pro R 640 camera with an uncooled vanadium oxide microbolometer and a 13-mm lens. Images were collected at 2-second intervals, with a flight speed of 9 meters per second (m/s), 7 m/s, or 5 m/s (visible, multispectral, thermal, respectively) with approximately 75% overlap between sequential images and 70% sidelap between adjacent flight lines. Cameras used local time for visible and thermal imagery collection but Coordinated Universal Time (UTC) for multispectral imagery collection. Photogrammetry to integrate the individual images into an orthophoto and digital surface model (for visible imagery) was done using Agisoft Metashape.
DOI: 10.5066/p9u9zsbn
title: Data for Groundwater Age in the Western Principal Aquifers, 2004-2018

description: Groundwater age distribution and susceptibility to natural and anthropogenic contaminants were assessed for selected principal aquifers of the Western United States: the Central Valley aquifer system (CVAL), the Basin and Range basin-fill aquifers (BNRF), the Rio Grande aquifer system (RIOG), the High Plains aquifer (HPAQ), the Columbia Plateau basaltic-rock aquifers (CLPT), and the Colorado Plateaus aquifers (COPL). Groundwater ages were estimated by calibration of environmental tracers (tritium, tritiogenic helium-3, chlorofluorocarbons, sulfur hexafluoride, carbon-14 and radiogenic helium-4) to lumped parameter models (LPMs) for 1,353 samples from 1,182 sample locations. Groundwater samples were collected from wells (mainly drinking-water) in the CVAL between 2004 and 2018 as part of the California State Water Resources Control Board Groundwater Ambient Monitoring and Assessment Priority Basin Project (GAMA-PBP) and the National Water-Quality Assessment (NAWQA) Project; and in the BNRF in 2013, the RIOG in 2014 and 2015, the HPAQ between 2014 and 2017, the CPLT in 2016, and the COPL in 2017 as part of NAWQA. Table 1 reports the primary results of this assessment and it contains condensed results from dissolved gas modeling and calculated environmental tracer concentrations; results of the tritium age classification, susceptibility index, and mean groundwater age of each sample in this assessment; and water level and well construction information for some wells. Calibrated lumped parameter models provide the optimal mean age and mixing parameter(s) used to compute the distribution of ages that explain the measured tracer concentrations in a sample. Tables 2 and 3 provide results in support of Table 1. Table 2 reports detailed results for the calibration of dissolved gas models to neon, argon, krypton, xenon, and nitrogen. Calibrated dissolved gas models provide the optimal water temperature, excess air, entrapped air, fractionation of gases, and excess nitrogen gas (mainly from denitrification) that explain the measured dissolved gases in a sample. Table 3 reports measured concentrations and the detailed calculations of environmental tracer concentrations derived from the dissolved gas modeling results in Table 2. Calculated concentrations of environmental tracers that can be used in groundwater age calculations are the dry air mixing ratio of sulfur hexafluoride or chlorofluorocarbons, tritiogenic helium-3, which is the concentration of helium-3 from the decay of tritium, and radiogenic helium-4, which is the amount of helium generated from the decay of uranium and thorium in aquifer sediments. In addition to these three tables, two ancillary tables are included to provide more detailed information about the fields and the abbreviations used in tables 1-3.
DOI: 10.5066/p9dnurmt
title: Low-altitude visible, multispectral, and thermal-infrared imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Wisconsin Surface Water 4 and 5

description: These orthophotos and digital surface model (DSM) were derived from low-altitude (approximately 92-m above ground surface) images collected from Unmanned Aerial System (UAS) flights over edge-of-field sites that are part of U.S. Geological Survey (USGS) Great Lakes Restoration Initiative (GLRI) monitoring. The objective of this UAS photogrammetry data collection was to provide information on the tile-drain network in individual fields with the goal of understanding already observed patterns in runoff amount and water quality from these sites. A 3DR Solo quadcopter served as the flight vehicle, flights were pre-planned using Mission Planner, and flights were flown using Tower. Geospatial data were originally in WGS84 and projected to a local coordinate system for each site. Visible color (Vis-C) imagery was collected with a Ricoh GRII as a single band. Multispectral (MS) imagery was collected with a MicaSense RedEdge 3 as five co-located bands: blue (B; approximately 475-500 nanometers [nm]), green (G; 550-560 nm), red (R; 660-670 nm), red-edge (710-720 nm), and near infrared (NIR; 820-860 nm). Thermal-infrared (TIR) data were collected using a FLIR Vue Pro R 640 camera with an uncooled vanadium oxide microbolometer and a 13-mm lens. Images were collected at 2-second intervals, with a flight speed of 9 meters per second (m/s), 7 m/s, or 5 m/s (visible, multispectral, thermal, respectively) with approximately 75% overlap between sequential images and 70% sidelap between adjacent flight lines. Cameras used local time for visible and thermal imagery collection but Coordinated Universal Time (UTC) for multispectral imagery collection. Photogrammetry to integrate the individual images into an orthophoto and digital surface model (for visible imagery) was done using Agisoft Metashape.
DOI: 10.5066/p9ksr9z4
title: Early Estimates of Herbaceous Annual Cover in the Sagebrush Ecosystem
DOI: 10.5066/p91xu2on
title: Parcel cost benefit and portfolio selection data for reserve design optimization using modern portfolio analysis

description: 1) Raw parcel-level habitat data for the South Carolina Lowcountry surrounding Cape Romain NWR and Francis Marion NF, from current current conditions and for three projected sea-level rise futures based on SLAMM model outputs, NLCD land cover and the projected distribution of sea levels for 2050. 2) a table of parcel identification numbers (without georeference) with parcel size (Ha) and sub-group identity. 3) Optimization-model derived reserve design portfolios that define the Pareto-optimal frontier for each sub-group and for four budget scenarios along axes of reserve design benefits and risk.
DOI: 10.5066/p9riv03d
title: Near-real-time Herbaceous Annual Cover in the Sagebrush Ecosystem, USA, July 2018

description: This dataset provides a near-real-time estimate of 2018 herbaceous annual cover with an emphasis on annual grass (Boyte and Wylie. 2016. Near-real-time cheatgrass percent cover in the Northern Great Basin, USA, 2015. Rangelands 38:278-284.) This estimate was based on remotely sensed enhanced Moderate Resolution Imaging Spectroradiometer (eMODIS) Normalized Difference Vegetation Index (NDVI) data gathered through July 1, 2018. This is the second iteration of an early estimate of herbaceous annual cover for 2018 over the same geographic area. The previous dataset used eMODIS NDVI data gathered through May 1 (https://doi.org/10.5066/P9KSR9Z4). The pixel values for this most recent estimate ranged from 0 to100% with an overall mean value of 9.23% and a standard deviation of +/-11.35. The model's test mean error rate (n = 1664), based on nine different randomizations, equaled 5.2% with a standard deviation of +/- 0.09. Overall statistics between the May and June datasets were similar. However, some individual pixel differences can be considerable and are attributed to changing conditions on the ground that are reflected in the satellite data. These changes can influence how the models relate the dependent variable to the independent variables. Both datasets were generated by integrating ground-truth measurements of annual herbaceous percent cover with 250-m spatial resolution eMODIS NDVI satellite derived data and geophysical variables into regression-tree software. The geographic coverage includes the Great Basin, the Snake River Plain, the state of Wyoming, and contiguous areas. We applied a mask to areas above 2250-m elevation because annual grasses are unlikely to exist at substantial cover above this threshold. To target likely sagebrush ecosystems, the mask also covered pixels classified as something other than shrub or grassland/herbaceous by the 2011 National Land Cover Dataset (NLCD). The model was not trained on any masked pixels. Cheatgrass (Bromus tectorum) is the most common annual grass in the study area, but red brome (Bromus rubens), medusahead (Taeniatherum caput-medusae), and ventenata (Ventenata dubia) are also problematic. They grow from seed, usually in spring, mature quickly, produce seed, and die. After dying, these annual grasses contribute fine fuels that facilitate fire ignition and spread throughout sagebrush ecosystems. These fires remove sagebrush stands. Increasing fire frequencies, land management practices, and development have all contributed to the fragmentation of the once expansive sagebrush ecosystems. These ecosystems are critical for water quality, reduced fire threats, and the survival of sagebrush-dependent wildlife.