cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13348396.v1
title: Empirical Predictive Modeling Approach to Quantifying Social Vulnerability to Natural Hazards

description: Conventionally, natural hazard scholars quantify social vulnerability based on social indicators to manifest the extent to which locational communities are susceptible to adverse impacts of natural hazard events and are prone to limited or delayed recoveries. They usually overlook the different geographical distributions of social vulnerability at different hazard intensities and in distinct response and recovery phases, however. In addition, conventional approaches to quantifying social vulnerability usually establish the relationship between social indicators and social vulnerability with little evidence from empirical data science. In this article, we introduce a general framework of a predictive modeling approach to quantifying social vulnerability given intensity during a response or recovery phase. We establish the relationship between social indicators and social vulnerability with an empirical statistical method and historical data on hazard effects. The new metric of social vulnerability given an intensity measure can be coupled with hazard maps for risk analysis to predict adverse impacts or poor recoveries associated with future natural hazard events. An example based on data on casualties, house damages, and peak ground accelerations of the 2015 Gorkha earthquake in Nepal and pre-event social indicators at the district level shows that the proposed approach can be applied for vulnerability quantification and risk analysis in terms of specific hazard impacts.
DOI: 10.6084/m9.figshare.13348396
title: Empirical Predictive Modeling Approach to Quantifying Social Vulnerability to Natural Hazards

description: Conventionally, natural hazard scholars quantify social vulnerability based on social indicators to manifest the extent to which locational communities are susceptible to adverse impacts of natural hazard events and are prone to limited or delayed recoveries. They usually overlook the different geographical distributions of social vulnerability at different hazard intensities and in distinct response and recovery phases, however. In addition, conventional approaches to quantifying social vulnerability usually establish the relationship between social indicators and social vulnerability with little evidence from empirical data science. In this article, we introduce a general framework of a predictive modeling approach to quantifying social vulnerability given intensity during a response or recovery phase. We establish the relationship between social indicators and social vulnerability with an empirical statistical method and historical data on hazard effects. The new metric of social vulnerability given an intensity measure can be coupled with hazard maps for risk analysis to predict adverse impacts or poor recoveries associated with future natural hazard events. An example based on data on casualties, house damages, and peak ground accelerations of the 2015 Gorkha earthquake in Nepal and pre-event social indicators at the district level shows that the proposed approach can be applied for vulnerability quantification and risk analysis in terms of specific hazard impacts.
DOI: 10.5281/zenodo.5764824
title: Podcast annotation dataset for paper "Identifying Introductions in Podcast Episodes from Automatically Generated Transcripts "

description: Dataset for paper "Identifying Introductions in Podcast Episodes from Automatically Generated Transcripts". Please refer to the paper for details. Compared to the dataset used in the paper, 20 out of the 445 episodes have been removed due to copyright issues. Each data file contains the following fields: - "episode_intro_start": the time stamp for episode introduction start (in milliseconds) - "episode_intro_end": the time stamp for episode introduction end (in milliseconds) - "program_intro_start": the time stamp for program introduction start (in milliseconds) - "program_intro_end": the time stamp for program introduction end (in milliseconds) - "program_name": name of the podcast program - "episode_name": name of the podcast episode - "transcription": JSON string containing the transcription, including the timestamps. - "annotator": anonymized annotator ID.
DOI: 10.5281/zenodo.5764246
title: Genotypic diversity in the BRESOV Brassica core collection

description: File Bo_Bresov_2021_SNPs.vcf.gz provides 675758 unfiltered sites obtained from ApeKI Genotyping by Sequencing using 863 taxa in the BRESOV Brassica core collection. Performed at The University of Liverpool Centre for Genomics Research.
DOI: 10.5281/zenodo.5764245
title: Genotypic diversity in the BRESOV Brassica core collection

description: File Bo_Bresov_2021_SNPs.vcf.gz provides 675758 unfiltered sites obtained from ApeKI Genotyping by Sequencing using 863 taxa in the BRESOV Brassica core collection. Performed at The University of Liverpool Centre for Genomics Research.
DOI: 10.23708/inwsd6
title: Data for: Seabird-derived nutrients supply modulates the trophic strategies of mixotrophic corals

description: This data frame presents seawater NOx (nitrate C nitrite) concentrations in seawater, as well as carbon and nitrogen isotope values of seabird guano, Particulate Organic Matter (POM), macroalgae (Halimeda spp.) and coral (Pocillopora damicornis) tissues and symbionts. These values come from samples collected along two coast-ocean transects on the reef flats of Surprise and Huon islands in the D'entrecasteaux Reefs. Samples were collected in March and September 2017 during the POSTBLANCO and TARA ENTRECASTEAUX cruises. Stations were sampled 25, 50, 100, and 400m off the two islets as well as 50m off the crest of a reference reef, located 10km away within the same atoll. Analytical methods are presented in the corresponding paper. The dataset is made of 329 rows corresponding to samples, and 10 columns presenting an ID, the sampling month, site and station, the position within the transect, the sample type, genera, and either the NOx or the d13C and d15N values.
DOI: 10.5286/isis.e.rb1990085-1
title: Ordering of sub stoechio LNMO powder 900
DOI: 10.5281/zenodo.5764705
title: Gas adsorption isotherms of Stöber-type silica particles

description: Raw adsorption isotherm data (N<sub>2</sub> at 77 K, Ar at 87 K, Ar at 77 K) of Stöber-type silica particles, reported in: https://doi.org/10.1016/j.micromeso.2020.110744 https://doi.org/10.1016/j.micromeso.2021.111563
DOI: 10.5281/zenodo.5764704
title: Gas adsorption isotherms of Stöber-type silica particles

description: Raw adsorption isotherm data (N<sub>2</sub> at 77 K, Ar at 87 K, Ar at 77 K) of Stöber-type silica particles, reported in: https://doi.org/10.1016/j.micromeso.2020.110744 https://doi.org/10.1016/j.micromeso.2021.111563
DOI: 10.5281/zenodo.3609232
title: Urban Bee Parasites

description: Data for the publication: <strong>Flowering resources in urban sites both directly and indirectly influence disease epidemiology in bees.</strong> Hamutahl Cohen<sup>1a</sup> Lauren C. Ponisio<sup>a</sup> Kaleigh A. Russell<sup>a</sup> Quinn S. McFrederick<sup>a</sup> Stacy M. Philpott<sup>b</sup> <sup>a </sup>Department of Entomology, University of California, Riverside, U.S.A. <sup>b</sup> Environmental Studies Department, University of California, Santa Cruz, U.S.A.
DOI: 10.5281/zenodo.3609231
title: Urban Bee Parasites

description: Data for the publication: <strong>Flowering resources in urban sites both directly and indirectly influence disease epidemiology in bees.</strong> Hamutahl Cohen<sup>1a</sup> Lauren C. Ponisio<sup>a</sup> Kaleigh A. Russell<sup>a</sup> Quinn S. McFrederick<sup>a</sup> Stacy M. Philpott<sup>b</sup> <sup>a </sup>Department of Entomology, University of California, Riverside, U.S.A. <sup>b</sup> Environmental Studies Department, University of California, Santa Cruz, U.S.A.
DOI: 10.5281/zenodo.3266807
title: JRC Open Power Plants Database (JRC-PPDB-OPEN)

description: In 2017 the Joint Research Centre developed a Power Plant Database for energy systems modelling (JRC-PPDB) in order to support the unit activities in energy systems modelling and knowledge management. As demand for open data is increasingly sought after, an open version (JRC-PPDB-OPEN), based on exclusively open data was designed. The JRC-PPDB-OPEN is primarily based on a collection of all the information published by ENTSO-E[1] on the European power plants at unit level. This information was extended, improved, and where possible corrected using information contained in open datasets published by WRI Powerwatch[2], Global energy observatory[3], FRESNA[4] and the EEA[5]. The JRC-PPDB-OPEN database is a first attempt towards a more detailed and coherent, albeit still incomplete, dataset of European power plants. Further work to expand and improve the information contained therein is called for. To this extend, and in order to facilitate the future involvement of third parties in such efforts, the associations between records in the different datasets (linkage) are included. [1] https://transparency.entsoe.eu/ [2] http://datasets.wri.org/dataset/globalpowerplantdatabase [3] http://globalenergyobservatory.org/ [4] https://github.com/FRESNA/powerplantmatching [5] https://prtr.eea.europa.eu/#/home
DOI: 10.6084/m9.figshare.16578620
title: GBS-SBG - GBS Serotyping by Genome Sequencing

description: Supplementary Material for ‘GBS-SBG - GBS Serotyping by Genome Sequencing’, as published in Microbial Genomics.
DOI: 10.6084/m9.figshare.16578620.v1
title: GBS-SBG - GBS Serotyping by Genome Sequencing

description: Supplementary Material for ‘GBS-SBG - GBS Serotyping by Genome Sequencing’, as published in Microbial Genomics.
DOI: 10.18112/openneuro.ds003900.v1.1.0
title: TractoInferno
DOI: 10.25345/c52s2t
title: MassIVE MSV000088536 - Sequence coverage by multiple reads in shotgun proteomics to validate single amino acid variants
title: Mass spectrometry-based shotgun proteomics is currently based on assigning matches between mass-spectra of protein fragments resulting from protease digestion and amino acid sequences predicted from nucleic acid sequences. At the same time, the method lacks reliability in identification of every single amino acid of proteins proteome-wide. We proposed a way to interpret shotgun proteomics results, specifically in data-dependent acquisition mode, as a protein sequence coverage by multiple reads, just as it is done in the field of nucleic acid sequencing for the calling of single nucleotide variants. Multiple reads for each letter in the proteome could be provided by overlapping distinct peptides, which confirm the presence of certain amino acid residues in the overlapping stretch with much lower false discovery rate than conventional 1%. These overlapping distinct peptides were, first, miscleaved tryptic peptides in combination with their properly cleaved counterparts, and, second, the peptides generated by several proteases with different specificities after digestion of the same specimen and analyzed separately. We illustrated this approach using publicly available multiprotease proteomic datasets and in-home data for HEK-293 cell line subproteomes obtained using trypsin, LysC and GluC proteases. A general coverage of proteome in exemplary datasets, even with a single read, was 20-30% at 5-8 thousand protein groups identified. Inside this percentage, 5-7% of the whole proteome were covered at least two-fold and, thus, identified with increased reliability. Of 36 single amino acid variants identified in the HEK-293 cell line, seven variants were covered at least two-fold. The sequence coverage by multiple reads may be further increased with gain in proteome depth and the number of multiple proteases used.
DOI: 10.6084/m9.figshare.17136821
title: Count Data, Wig Files and Validation for "Model-based identification of conditionally-essential genesfrom transposon-insertion sequencing data Vishal Sarsani, Berent Aldikacti, Shai He, Rilee Zienert, Peter Chien, PatrickFlaherty"

description: Wig files , Count Data files and Validation Data from the Tnseq datsets in the paper "Model-based identification of conditionally-essential genesfrom transposon-insertion sequencing dataVishal Sarsani, Berent Aldikacti, Shai He, Rilee Zienert, Peter Chien, PatrickFlaherty"
DOI: 10.6084/m9.figshare.17136821.v1
title: Count Data, Wig Files and Validation for "Model-based identification of conditionally-essential genesfrom transposon-insertion sequencing data Vishal Sarsani, Berent Aldikacti, Shai He, Rilee Zienert, Peter Chien, PatrickFlaherty"

description: Wig files , Count Data files and Validation Data from the Tnseq datsets in the paper "Model-based identification of conditionally-essential genesfrom transposon-insertion sequencing dataVishal Sarsani, Berent Aldikacti, Shai He, Rilee Zienert, Peter Chien, PatrickFlaherty"
DOI: 10.6085/aa/marine_ltm.12.7
title: MARINe/PISCO: Intertidal: MARINe Long-Term Monitoring Surveys: Photo Plots and Transects Summarized

description: This metadata record documents the Photo Plot and Transect Survey data for the Multi-Agency Rocky Intertidal Network (MARINe) Long-Term Monitoring surveys. These surveys are done throughout the year at sites ranging from Southeast Alaska to Southern California. Please note that species of concern have been removed from all public datasets, as well as data from sites funded by the National Park Service (NPS) and the United States Navy. For a comprehensive dataset, please contact the data set owner(s). For more information about the data described in this metadata record, please visit pacificrockyintertidal.org. The long-term California MPA boundary and project info tables referenced in this dataset can be found as a separate dataset here: https://opc.dataone.org/view/doi:10.25494/P6V884
DOI: 10.3886/e156401v1
title: Democratic Constraints and Adherence to the Classical Gold Standard (Dataset)

description: We study how political institutions affected the decision of countries to adhere to the classical gold standard. Using a variety of econometric techniques and controlling for a wide range of relevant economic and political factors, we find that the probability of adherence to the gold standard before World War I was ceteris paribus lower for countries which were more democratic. This effect can be linked to how open the political process was to different segments of the population and the extent of political competition resulting from that. The effect was particularly relevant for peripheral countries and it influenced both the decision of countries to adopt the gold standard as well as the decision to suspend it.
description: JEL Codes: E42, F33, F50, N40.
DOI: 10.5517/ccdc.csd.cc20qmzc
title: CCDC 1868803: Experimental Crystal Structure Determination

description: Related Article: Rüdiger M. Exner, Carsten Jenne, Bianca Wegener|2018|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc24wp6y
title: CCDC 1992810: Experimental Crystal Structure Determination

description: Related Article: Zhipeng Wang, Stephen F. Martin|2020|Org.Lett.|22|9071|doi:10.1021/acs.orglett.0c03454
description: Related Article: Zhipeng Wang, Stephen F. Martin|2022|Tetrahedron|103|132551|doi:10.1016/j.tet.2021.132551
DOI: 10.5517/ccdc.csd.cc251pnl
title: CCDC 1997629: Experimental Crystal Structure Determination

description: Related Article: Vinko Nemec, Katarina Lisac, Marin Liović, Ivana Brekalo, Dominik Cinčić|2020|Materials|13|2385|doi:10.3390/ma13102385
DOI: 10.5517/ccdc.csd.cc251ppm
title: CCDC 1997630: Experimental Crystal Structure Determination

description: Related Article: Vinko Nemec, Katarina Lisac, Marin Liović, Ivana Brekalo, Dominik Cinčić|2020|Materials|13|2385|doi:10.3390/ma13102385
DOI: 10.5281/zenodo.5764863
title: Classification of The Zwicky Transient Facility Catalog of Periodic Variable Stars

description: This data release contains 730,184 periodic transients with the new class labels in a csv file and the cross-match results of periodic variable stars (PVSs) in the ZTF CPVS with the SIMBAD catalog. Classifications and details with this data set are available in Cheung et al. (2021) and Chan et al. (2021)
DOI: 10.5517/ccdc.csd.cc2609l4
title: CCDC 2026085: Experimental Crystal Structure Determination

description: Related Article: Lin Qin, Chongyang Zhao, Liao-Yuan Yao, Hongbin Dou, Mo Zhang, Jing Xie, Tsu-Chien Weng, Hongjin Lv, Guo-Yu Yang|2021|CCS Chem.|3|651|doi:10.31635/ccschem.021.202000741
DOI: 10.6084/m9.figshare.17136965
title: Data_de Vevey et al. 2021

description: R code and datasets <br>
DOI: 10.6084/m9.figshare.17136965.v1
title: Data_de Vevey et al. 2021

description: R code and datasets <br>
DOI: 10.5281/zenodo.5764865
title: Cinetodus crassilabris RB0433 ARBOR decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5764864
title: Cinetodus crassilabris RB0433 ARBOR decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5764853
title: Congo Basin tropical forest soil N2O and CH4 flux data

description: This dataset was used for the Nature Communications article 'Low N<sub>2</sub>O and variable CH<sub>4</sub> fluxes from tropical forest soils of the Congo Basin'. It comprises the raw data to calculate soil fluxes as well as the raw data to derive dissolved concentrations of N<sub>2</sub>O and CH<sub>4</sub> in headwater streams of the Congo Basin.
DOI: 10.5281/zenodo.5764852
title: Congo Basin tropical forest soil N2O and CH4 flux data

description: This dataset was used for the Nature Communications article 'Low N<sub>2</sub>O and variable CH<sub>4</sub> fluxes from tropical forest soils of the Congo Basin'. It comprises the raw data to calculate soil fluxes as well as the raw data to derive dissolved concentrations of N<sub>2</sub>O and CH<sub>4</sub> in headwater streams of the Congo Basin.
DOI: 10.6084/m9.figshare.11920788
title: Fly Microbiome Diet Database

description: This is the working version of the Fly Microbiome Diet Database, a compilation of published <i>Drosophila </i>diets used by laboratories in the field of fly microbiome research. In addition to listing dietary components as they are described in published research methods, we calculate macronutrient content and protein to carbohydrate ratio of each diet for the purpose of making comparisons between dietary nutrient content across studies. The source files for each diet component's nutrition facts are accessible at https://doi.org/10.6084/m9.figshare.11920743.v2.<br>The database is subject to change as new studies are added or nutritional information is updated to be more accurate. <br>In database, N.S. for Yeast or Cornmeal type means "not specified"; N/A means that ingredient was not used.<br>06/22/2021: V5 published, includes fructose nutritional content, 7 additional diets12/07/2021: V6 published, includes additional diets from recent published microbiome work and self-submitted non-microbiome fly work (submitted via DDCC)
DOI: 10.6084/m9.figshare.11920788.v3
title: Fly Microbiome Diet Database

description: This is the working version of the Fly Microbiome Diet Database, a compilation of published <i>Drosophila </i>diets used by laboratories in the field of fly microbiome research. In addition to listing dietary components as they are described in published research methods, we calculate macronutrient content and protein to carbohydrate ratio of each diet for the purpose of making comparisons between dietary nutrient content across studies. The source files for each diet component's nutrition facts are accessible at https://doi.org/10.6084/m9.figshare.11920743.v2.<br>The database is subject to change as new studies are added or nutritional information is updated to be more accurate. <br>In database, N.S. for Yeast or Cornmeal type means "not specified"; N/A means that ingredient was not used.<br>06/22/2021: V5 published, includes fructose nutritional content, 7 additional diets
DOI: 10.5281/zenodo.5764903
title: Master Thesis Replication Package for: Empirical Scalability Evaluation of Hopping Window Aggregation Methods in Distributed Stream Processing

description: Master Thesis Replication Package for: Empirical Scalability Evaluation of Hopping Window Aggregation Methods in Distributed Stream Processing A detailed description can be found in the <em>README.md</em>.
DOI: 10.5281/zenodo.5764899
title: Classification of The Zwicky Transient Facility Catalog of Periodic Variable Stars

description: This data release contains 730,184 periodic transients with the new class labels in a csv file and the cross-match results of periodic variable stars (PVSs) in the ZTF CPVS with the SIMBAD catalog. Classifications and details with this data set are available in Cheung et al. (2021) and Chan et al. (2021)
DOI: 10.5281/zenodo.5764862
title: Classification of The Zwicky Transient Facility Catalog of Periodic Variable Stars

description: This data release contains 730,184 periodic transients with the new class labels in a csv file and the cross-match results of periodic variable stars (PVSs) in the ZTF CPVS with the SIMBAD catalog. Classifications and details with this data set are available in Cheung et al. (2021) and Chan et al. (2021)
DOI: 10.6084/m9.figshare.17136662
title: Journals referencing Public Administration Review

description: These data show the citations made to the journal Public Administration Review from 1980 until 2018. This study was conducted to trace the history of the Public Administration field.
DOI: 10.7910/dvn/09l7mj/3fiu6h
title: con2_obstruct.shp.xml

description: :unav
DOI: 10.7910/dvn/09l7mj/gkeurh
title: con1_obstruct.dbf

description: :unav
DOI: 10.7910/dvn/09l7mj/gyelwg
title: con1_los.shp

description: :unav
DOI: 10.5281/zenodo.3927527
title: Data for "Hot-Carrier Generation in Plasmonic Nanoparticles: The Importance of Atomic Structure"

description: This upload includes the data presented and analyzed in the article "Hot-Carrier Generation in Plasmonic Nanoparticles: The Importance of Atomic Structure" by Tuomas P. Rossi, Paul Erhart, and Mikael Kuisma. The codes for reproducing the data are provided at doi:10.5281/zenodo.3964229. See <em>README.md</em> in <em>data.zip</em> for a detailed description.
DOI: 10.5281/zenodo.3927526
title: Data for "Hot-Carrier Generation in Plasmonic Nanoparticles: The Importance of Atomic Structure"

description: This upload includes the data presented and analyzed in the article "Hot-Carrier Generation in Plasmonic Nanoparticles: The Importance of Atomic Structure" by Tuomas P. Rossi, Paul Erhart, and Mikael Kuisma. The codes for reproducing the data are provided at doi:10.5281/zenodo.3964229. See <em>README.md</em> in <em>data.zip</em> for a detailed description.
DOI: 10.25345/c5sw6w
title: MassIVE MSV000083799 - Mouse tooth injury 21d IL4KO vs WT
title: 1234567980 1234567980 1234567980 1234567980 1234567980 1234567980 1234567980
DOI: 10.17632/5cvy3rk3yr.1
title: Data for: Benchmark experiment on analytical mock-ups with graphite to simulate the fission blanket of hybrid reactor

description: the data are dealed by Origin pro 2017
DOI: 10.7910/dvn/oqtuzm/hfjkjk
title: pc.tab

description: :unav
DOI: 10.7910/dvn/oqtuzm/oao5r3
title: poverty_cooperation.do

description: :unav
DOI: 10.7910/dvn/oqtuzm/q4hx3f
title: readme.txt
DOI: 10.7910/dvn/oqtuzm/t3sayb
title: pc_nt.tab

description: :unav
DOI: 10.7910/dvn/w9dgrr/9fpxhc
title: Table_1.txt

description: :unav
DOI: 10.7910/dvn/w9dgrr/j3mn0j
title: Table_2.txt

description: :unav
DOI: 10.7910/dvn/w9dgrr/vwcdmy
title: replication.R

description: :unav
DOI: 10.7910/dvn/w9dgrr/fzgrtn
title: Table_2.txt

description: :unav
DOI: 10.7910/dvn/w9dgrr/o1knmg
title: replication.R

description: :unav
DOI: 10.7910/dvn/w9dgrr/ottsza
title: Figure_1.pdf

description: :unav
DOI: 10.7910/dvn/w9dgrr/wttvg3
title: README.txt

description: :unav
DOI: 10.7910/dvn/w9dgrr/zyw1p8
title: Table_1.txt

description: :unav