cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p9tkyl5k
title: Data used to characterize the historical distribution of wildfire severity in the western United States in support of pre-fire assessment of debris-flow hazards

description: Following wildfire, mountainous areas of the western United States are susceptible to enhanced runoff and erosion and an increased vulnerability to debris flow during intense rainfall. Convective storms that can generate debris flows in recently burned areas may occur during or immediately after the wildfire, leaving insufficient time for development and implementation of risk mitigation strategies. We present a method for estimating post-fire debris-flow hazards prior to wildfire using historical data to define the range of potential fire severity for a given location based on the statistical distribution of severity metrics obtained from remote sensing. Estimates of debris-flow likelihood, magnitude and triggering rainfall threshold based upon the statistically simulated fire severity data provide hazard predictions consistent with those calculated from fire severity data collected after wildfire. Simulated fire severity data also produce hazard estimates that replicate observed debris-flow occurrence, rainfall conditions, and magnitude at a monitored site in the San Gabriel Mountains of southern California. Future applications of this method should rely upon a range of potential fire severity scenarios for improved pre-fire estimates of debris-flow hazard. The method presented here is also applicable to modeling other post-fire hazards, such as flooding and erosion risk, and for quantifying historic trends in fire severity in a changing climate. This release contains the data used to derive the historical distributions of fire severity, including a) the data used to derive a Weibull cumulative distribution function to historical measures of the differenced normalized burn ratio for fires &gt;= 4 square kilometers (1000 acres) that burned between 2001 and 2014 in the western United States, b) the shape and scale parameters for the Weibull cumulative distribution function for every class of existing vegetation type, and the statistics describing goodness-of-fit of the Weibull distribution to these data, and c) the data used to determine the BARC4 threshold defining the break between pixels burned at low and moderate or high severity. Reference: Staley, D.M., Tillery, A.C., Kean, J.W., McGuire, L.A., Pauling, H.E., Rengers, F.K. (2018) Estimating post-fire debris-flow hazards prior to wildfire using a statistical analysis of historical distributions of fire severity from remote sensing data. International Journal of Wildland Fire. DOI: 10.1071/WF17122
DOI: 10.5066/f7057d39
title: A Database of Peak Streamflow derived from Interpretations of Indirect Measurements for a Crest-Stage Gage Network in Texas through Water Year 2015

description: In 2006, the U.S. Geological Survey (USGS), in cooperation with the Texas Department of Transportation, began collecting annual and approximately quarterly-series peak streamflow data at streamflow-gaging stations in small- to medium-sized watersheds in central and western Texas, along with selected flood-hydrograph data at a subset of these stations. The data were primarily collected from a type of USGS streamflow-gaging station known as a crest-stage gage (CSG) station. The CSGs record peak stage, or maximum gage height (elevation of water surface above a local vertical datum), at the stations during storm events. Established and widely-used indirect methods of peak streamflow estimation, such as culvert-flow, slope-area, and flow-over-road methods, are used in conjunction with peak gage-height data to create the database of peak streamflow described herein. The data collected during 2006-15 at the CSG network in central and western Texas were collected at some of the same locations where peak-streamflow data were collected during 1966-74, 1994-97 and 2005. A database of 747 peak streamflow records for which 470 peaks are determined to be the annual peak for the corresponding water year is documented through water year 2015 for 52 CSG stations. The water year is designated by the calendar year in which it ends. Because of the complex nature and vagaries of field-data collection along with uncertainties in minimum-computable streamflow for any particular station and circumstances in time, many of the reported peak streamflows are listed as either inequalities (less than or greater than a streamflow threshold) or intervals (streamflow within a lower and upper bounds). The database reported represents an important intermediate milestone in the 20-year planning horizon of the CSG network.
DOI: 10.5066/f7r210qx
title: Estimated low-flow statistics at ungaged stream locations in New Jersey, water year 2017

description: Estimates of various low-flow statistics were computed at 71 ungaged stream locations throughout New Jersey during the 2017 water year using methods in the published reports, Streamflow Characteristics and Trends in New Jersey, Water Years 1897-2003 (U.S. Geological Survey Scientific Investigations Report 2005-5105) and Implementation of MOVE.1, Censored MOVE.1, and Piecewise MOVE.1 Low-Flow Regressions With Applications at Partial-Record Streamgages in New Jersey (U.S. Geological Survey Open File Report 2018-1089). The estimates are computed as needed for use in water resources permitting, assessment, and management by the New Jersey Department of Environmental Protection. The data release includes the stream name, location, method of estimation, drainage area, and intended use of the low-flow statistics computed during the 2017 water year. The data are provided as both a plain text file and ArcGIS shapefile format.
DOI: 10.13012/b2idb-9213932_v1
title: A Crawl of the Mobile Web Measuring Sensor Accesses

description: This dataset is the result of three crawls of the web performed in May 2018. The data contains raw crawl data and instrumentation captured by OpenWPM-Mobile, as well as analysis that identifies which scripts access mobile sensors, which ones perform some of browser fingerprinting, as well as clustering of scripts based on their intended use. The dataset is described in the included README.md file; more details about the methodology can be found in our ACM CCS'18 paper: Anupam Das, Gunes Acar, Nikita Borisov, Amogh Pradeep. The Web's Sixth Sense: A Study of Scripts Accessing Smartphone Sensors. In Proceedings of the 25th ACM Conference on Computer and Communications Security (CCS), Toronto, Canada, October 15–19, 2018. (Forthcoming)
DOI: 10.5063/f1jq0z6x
title: Land Cover in Alaska, 2010-2011

description: This dataset is a subset of the North American Land Change Monitoring System (NALCMS) Land Cover 30-meter dataset. The original dataset provides land cover information for 2010 (Mexico to Canada) and 2011 (United States) and is a collaboration between the USGS in the United States, the CCRS in Canada, and CONABIO, INEGI, and CONAFOR in Mexico. The dataset archived here clips NALCMS land cover to the state of Alaska and adjacent regions for the State of Alaska Salmon and People (SASAP) project. Several steps were taken to preprocess this data: Alaska boundaries were manually selected and clipped to the nearest pixel to avoid resampling and degrading raster data, and this clipped data was reprojected in the Alaska Albers (EPSG 3338) projection. This dataset is a more size-efficient version of NALCMS data for use in SASAP study areas. The original NALCMS data is available here: https://catalog.data.gov/dataset/north-american-land-change-monitoring-system-nalcms-collection.
DOI: 10.5281/zenodo.1346302
title: Test data for running snakePipes : DNA-mapping workflow

description: <strong>Test files for running snakePipes workflows</strong> <strong>snakePipes</strong> are pipelines built using snakemake and python for the analysis of epigenomic datasets. Please refer to this link for further information on snakePipes. This folder contains test files that can be used to run DNA-mapping workflow under snakePipes. To test the workflow, follow the following steps : Download or prepare genome fasta, indices and annotations for human (<strong>hg38</strong>) genome. Download and install snakePipes via `conda create -n snakePipes -c mpi-ie -c bioconda -c conda-forge snakePipes` Update Genome configuration file with path to indices and annotations. Move to this repository and run the example <strong>command.sh</strong>
DOI: 10.7910/dvn/gbelfw/8rz7sn
title: solan_etal_DbL.tab

description: Data: Reported values for the biodiffusion coefficient (Db, cm2 year-1) and/or the sediment mixing depth (L, cm) for specific locations
DOI: 10.7910/dvn/gbelfw/enaytm
title: solan_etal_suppl_info.pdf

description: Definitions of the descriptors (= column headings) used in the Db and L and q datasets. We also list the reference source for each data point.
DOI: 10.14469/hpc/4625
title: OC: Product -1544.825987

description: Gaussian Calculation
DOI: 10.14469/hpc/4627
title: OC: TS4 -1544.811283

description: Gaussian Calculation
DOI: 10.14469/hpc/4628
title: OC: Reactant -1544.811180

description: Gaussian Calculation
DOI: 10.14469/hpc/4632
title: OC: TS3 -1544.789535 = 13.6

description: Gaussian Calculation
DOI: 10.14469/hpc/4633
title: OC: TS2 freq T=273 -1544.767308 =27.5

description: Gaussian Calculation
DOI: 10.7910/dvn/gbelfw/skwco4
title: solan_etal_q.tab

description: Data: Volumetric ventilation flow rates (q, ml h-1 ind.-1) for named macro-invertebrate species or mixed communities taken during active bouts of ventilation (q1) and/or estimated over extended periods of time (q2) for specific locations
DOI: 10.14469/hpc/4630
title: OC: TS3 -1544.789535 IRC

description: Gaussian Calculation
DOI: 10.15468/mtg3p1
title: Checklist derived from occurrence data published on invasive alien plant species on GBIF site

description: This project to mobilize biodiversity data and identify conservation priorities will be implemented by a consortium of eight African countries – Senegal, Côte-d’Ivoire, Mali, Guinea, DRC, Niger, Madagascar, and Benin. Training workshops organized by the University of Kansas will help build the data publishing capacity of project partners. The consortium will identify priority invasive alien species and threatened species for data mobilization, and publish relevant data from collections in France, Netherlands and Belgium. More than 200,000 records of biodiversity data will be made available through GBIF.org and national portals. Based on published data, the consortium will develop distribution maps of priority species, suggest actions to monitor and control the spread of invasive alien species and provide recommendations for the conservation of threatened species.
DOI: 10.15468/vvr96y
title: Checklist derived from occurrence data published on threatened plant species on GBIF site

description: This project to mobilize biodiversity data and identify conservation priorities will be implemented by a consortium of eight African countries – Senegal, Côte-d’Ivoire, Mali, Guinea, DRC, Niger, Madagascar, and Benin. Training workshops organized by the University of Kansas will help build the data publishing capacity of project partners. The consortium will identify priority invasive alien species and threatened species for data mobilization, and publish relevant data from collections in France, Netherlands and Belgium. More than 200,000 records of biodiversity data will be made available through GBIF.org and national portals. Based on published data, the consortium will develop distribution maps of priority species, suggest actions to monitor and control the spread of invasive alien species and provide recommendations for the conservation of threatened species.
DOI: 10.14469/hpc/4635
title: BOB Cycle. Product 1st cycle + MeNH2 -1083.017918 (0.0) 10.14469/hpc/1955, unbound amide =&gt; reactant of 2nd cycle -1083.020284 B-Ph -1466.547544

description: Gaussian Calculation
DOI: 10.14469/hpc/4637
title: OC: Reactant + di-isopropylamine -1837.174744

description: Gaussian Calculation
DOI: 10.15468/cpmggr
title: Checklist derived from occurrence data published on medicinal plant species on GBIF site

description: Checklist of medicinal plant species published on GBIF site
DOI: 10.15468/isbqxz
title: Checklist derived from occurrence data published on agroforestry plant species on GBIF site

description: Checklist of agroforestry plant species from Benin (West Africa)
DOI: 10.15468/no9g37
title: Checklist derived from occurrence data published on agroforestry and medicinal plant species on GBIF site

description: Checklist of agroforestry and medicinal plant species from Benin (West Africa)
DOI: 10.15468/xi8ohl
title: Checklist derived from occurrence data published on threatened and invasive alien plant species on GBIF site

description: This project to mobilize biodiversity data and identify conservation priorities will be implemented by a consortium of eight African countries – Senegal, Côte-d’Ivoire, Mali, Guinea, DRC, Niger, Madagascar, and Benin. Training workshops organized by the University of Kansas will help build the data publishing capacity of project partners. The consortium will identify priority invasive alien species and threatened species for data mobilization, and publish relevant data from collections in France, Netherlands and Belgium. More than 200,000 records of biodiversity data will be made available through GBIF.org and national portals. Based on published data, the consortium will develop distribution maps of priority species, suggest actions to monitor and control the spread of invasive alien species and provide recommendations for the conservation of threatened species.
DOI: 10.5066/p9c7sfxj
title: Activity patterns in regional and long-distance migrant bat species during the fall and spring along ridgelines in the central Appalachians, 2015-2017

description: Data contain zero-crossing, frequency acoustic detector locations, date to hour, species of bats recorded and identified and various wind and precipitation values associated with either day or hour for ridges, sideslopes and valleys at 5 locations in western Virginia's Appalachian Mountains.
DOI: 10.5066/p9u61e9b
title: Activity patterns of cave-dwelling bat species during pre-hibernation swarming and post-hibernation emergence in the central Appalachians

description: Bat activity around known hibernacula in Virginia and West Virginia portion of the central Appalachians during the fall swarm and spring emergence, 2015-2017
DOI: 10.14469/hpc/4638
title: OC: TS3, C-C bond formation with di-isopropyl amine present -1837.147927

description: Gaussian Calculation
DOI: 10.5066/p9vyln0n
title: Wetland water-management may influence mercury bioaccumulation in songbirds and ducks at a mercury hotspot data release

description: We examined the role of wetland water-management on mercury bioaccumulation in songbirds and ducks. This database contains records of mercury concentrations in blood of wetland-foraging songbirds (80 common yellowthroats [Geothlypis trichas] and 14 Nelson's sparrows [Ammospiza nelsoni]) and eggs of upland-nesting ducks (28 gadwall [Mareca strepera], 19 blue-winged teal [Spatula discors], and 13 northern shoveler [S. clypeta]) across four wetland water-management classifications at Kellys Slough National Wildlife Refuge Complex, near Grand Forks, North Dakota USA.
DOI: 10.5281/zenodo.1400633
title: Computational History of Philosophy of Science (Comp HOPOS) Dataset

description: The Computational History of Philosophy of Science (Comp HOPOS) aims to be a comprehensive set of article and (when available) book chapter metadata for philosophy of science. The dataset covers the full run of over 40 journals and 3 major book series in the field. An automated author disambiguation script is used to construct canonical names for each author, and a combination of gender attribution methods is used to attribute the gender of each author. The full code used to generate the dataset is available at https://github.com/dhicks/comp-HOPOS. See the file data_dictionary.txt for data dictionary and additional information.
DOI: 10.14469/hpc/4639
title: OC: TS1 proton removal from benzyl chloride by di-isopropylamine -1837.150502

description: Gaussian Calculation
DOI: 10.5281/zenodo.1400995
title: bin3C - GTDB metadata associated with reference genomes selected for the simulated community

description: Supplementary data table S1 from the manuscript bin3C : Exploiting Hi-C sequencing data to accurately resolve metagenome-assembled genomes (MAGs) A simulated community was constructed for ground truth validation of bin3C results. This table lists the GTDB metadata associated with each of the 63 selected genomes.
DOI: 10.5281/zenodo.1400996
title: bin3C - GTDB metadata associated with reference genomes selected for the simulated community

description: Supplementary data table S1 from the manuscript bin3C : Exploiting Hi-C sequencing data to accurately resolve metagenome-assembled genomes (MAGs) A simulated community was constructed for ground truth validation of bin3C results. This table lists the GTDB metadata associated with each of the 63 selected genomes.
DOI: 10.5281/zenodo.1401001
title: bin3C - CheckM result for bin3C solution of the simulated community at full depth

description: Supplementary data table S2 from the manuscript <strong>bin3C :</strong><strong> Exploiting Hi-C sequencing data to accurately resolve metagenome-assembled genomes (MAGs)</strong> CheckM validation result for the simulated community at full shotgun and Hi-C depth of coverage.
DOI: 10.5281/zenodo.1401002
title: bin3C - CheckM result for bin3C solution of the simulated community at full depth

description: Supplementary data table S2 from the manuscript <strong>bin3C :</strong><strong> Exploiting Hi-C sequencing data to accurately resolve metagenome-assembled genomes (MAGs)</strong> CheckM validation result for the simulated community at full shotgun and Hi-C depth of coverage.
DOI: 10.5281/zenodo.1401007
title: bin3C - Cluster report and CheckM result for bin3C solution of the real human gut microbiome

description: Supplementary data table S3 from the manuscript bin3C : Exploiting Hi-C sequencing data to accurately resolve metagenome-assembled genomes (MAGs) A real human gut microbiome was deconvoluted using bin3C. Subsequently, bin3C produced a report detailing per-cluster statistics for the entire solution. The largest 296 clusters were then analyzed with CheckM and joined to the report.
DOI: 10.5281/zenodo.1401008
title: bin3C - Cluster report and CheckM result for bin3C solution of the real human gut microbiome

description: Supplementary data table S3 from the manuscript bin3C : Exploiting Hi-C sequencing data to accurately resolve metagenome-assembled genomes (MAGs) A real human gut microbiome was deconvoluted using bin3C. Subsequently, bin3C produced a report detailing per-cluster statistics for the entire solution. The largest 296 clusters were then analyzed with CheckM and joined to the report.
DOI: 10.5066/f7kp80nb
title: Data release for manuscript, "understanding the container effect on invertebrate communities: implications for the design of mesocosm experiments"
DOI: 10.5281/zenodo.7888044
title: Joint representation of molecular networks from multiple species improves gene classification - Data

description: This is the data the accompanies the manuscript <em>Joint representation of molecular networks from multiple species improves gene classification</em> Below is the license agreement for each of the publicly available datasets BioGRID GO DisGeNet Monarch eggNOG No license agreement was available on IMP web site, however we have obtained permission from the owner of the material to redistribute the network.
DOI: 10.5281/zenodo.10246207
title: Joint representation of molecular networks from multiple species improves gene classification - Data

description: This is the data the accompanies the manuscript Joint representation of molecular networks from multiple species improves gene classification


Below is the license agreement for each of the publicly available datasets 



	
BioGRID
	
GO
	
DisGeNet
	
Monarch
	
eggNOG



No license agreement was available on IMP web site, however we have obtained permission from the owner of the material to redistribute the network.
description: Version 1.2.0 used for second resubmission to PLOS Computational Biology
DOI: 10.5281/zenodo.7888043
title: Joint representation of molecular networks from multiple species improves gene classification - Data

description: This is the data the accompanies the manuscript Joint representation of molecular networks from multiple species improves gene classification


Below is the license agreement for each of the publicly available datasets 



	
BioGRID
	
GO
	
DisGeNet
	
Monarch
	
eggNOG



No license agreement was available on IMP web site, however we have obtained permission from the owner of the material to redistribute the network.
description: Version 1.2.0 used for second resubmission to PLOS Computational Biology
DOI: 10.5281/zenodo.8411134
title: Joint representation of molecular networks from multiple species improves gene classification - Data

description: This is the data the accompanies the manuscript <em>Joint representation of molecular networks from multiple species improves gene classification</em> Below is the license agreement for each of the publicly available datasets BioGRID GO DisGeNet Monarch eggNOG No license agreement was available on IMP web site, however we have obtained permission from the owner of the material to redistribute the network.
description: Version 1.1.0 used for resubmission to PLOS Computational Biology
DOI: 10.5281/zenodo.10223177
title: ICSA 2024 Main Research Track - Submission 16

description: Dataset for submitted ICSA 2024 Main Research Track - Submission 16
DOI: 10.5281/zenodo.10223178
title: ICSA 2024 Main Research Track - Submission 16

description: Dataset for submitted ICSA 2024 Main Research Track - Submission 16
DOI: 10.6084/m9.figshare.24712173
title: DATA-HILL/PLAIN

description: Data list of hydrological and N transport models for the hill and plain agricultural watersheds.
DOI: 10.6084/m9.figshare.24712173.v1
title: DATA-HILL/PLAIN

description: Data list of hydrological and N transport models for the hill and plain agricultural watersheds.
DOI: 10.6084/m9.figshare.24712323
title: RUNX1甲基化-甲状腺癌目

description: <b>目的：</b> 在活检不确定的情况下，准确识别甲状腺结节的恶性肿瘤仍然是一个挑战。 ，甲状腺状癌 （PTC） 的异常 DNA 甲基化特征(良性甲状腺结节 （BTN） 相比 <b>方法：</b> 采用850K阵列和RNA测序对早期PTC和BTN组织样本进行基因组分析。鉴定出的基因在两项使用质谱法的独立病例对照研究中得到了验证。 <b>结果：</b> 的低甲基化 PTC 中 RUNX1 （所有 OR ≥ 1.50）。 运行X1化取得了良好的准确性，在区分正在 和BTN <b>结论</b><b>s</b><b>：</b> 我们揭示了 之间的 运行X1 与PTC表明RUNX1甲基化是伴随诊断甲状腺结节恶性结节的潜在生物标志物。
DOI: 10.4121/82dc74dc-52e5-4da3-8d3f-e64e8a0364e3
title: Data underlying the publication: Beyond SCR in Weak Grids: Analytical Evaluation of Voltage Stability and Excess System Strength

description: The dataset contains a Python code used to mathematically represent and visualize the Excess System Strength (ESS) method, as developed in the corresponding publication. The method is designed to evaluate the strength of a power system, which is necessary for stability analysis and secure operation of power systems, as well as for integration of renewable energy sources. More information can be found in the publication itself.
DOI: 10.4121/82dc74dc-52e5-4da3-8d3f-e64e8a0364e3.v1
title: Data underlying the publication: Beyond SCR in Weak Grids: Analytical Evaluation of Voltage Stability and Excess System Strength

description: The dataset contains a Python code used to mathematically represent and visualize the Excess System Strength (ESS) method, as developed in the corresponding publication. The method is designed to evaluate the strength of a power system, which is necessary for stability analysis and secure operation of power systems, as well as for integration of renewable energy sources. More information can be found in the publication itself.
DOI: 10.5281/zenodo.10246147
title: 4D datasets used for local-orbital ptychographic reconstruction
DOI: 10.5281/zenodo.10246148
title: 4D datasets used for local-orbital ptychographic reconstruction