cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2dxzy8
title: CCDC 2232401: Experimental Crystal Structure Determination

description: Related Article: K. Motaln, A.E. Cotman, M. Lozinšek|2023|IUCrData|8|x221209|doi:10.1107/S2414314622012093
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dyycp
title: CCDC 2233313: Experimental Crystal Structure Determination

description: Related Article: R.M. Uppu, F.R. Fronczek|2023|IUCrData|8|x221223|doi:10.1107/S2414314622012238
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.3886/e113734v1-131800
title: Replication data for: Bridging the Intention-Behavior Gap? The Effect of Plan-Making Prompts on Job Search and Employment

description: The paper tests the effects of plan making on job search and employment. In a field experiment with unemployed youths, participants who complete a detailed job search plan increase the number of job applications submitted (by 15 percent) but not the time spent searching, consistent with intention-behavior gaps observed at baseline. Job seekers in the plan-making group diversify their search strategy and use more formal search channels. This greater search efficiency and effectiveness translate into more job offers (30 percent) and employment (26 percent). Weekly reminders and peer support sub-treatments do not improve the impacts of plan making.
DOI: 10.6084/m9.figshare.21900443
title: Supplementary_table_S4.xlsx

description: Supplementary table S4 - expression profile of Candidatus Methanococcoides chernomoris in co-culture with and without Desulfosporosinus nitroreducens strain P130
DOI: 10.6084/m9.figshare.21900449
title: Supplementary_table_S1.xlsx

description: Supplementary table S1 - expression profile of Candidatus Izemoplasma apoleimma in co-culture with vs. without Desulfosporosinus nitroreducens strain P130
DOI: 10.6084/m9.figshare.21900449.v1
title: Supplementary_table_S1.xlsx

description: Supplementary table S1 - expression profile of Candidatus Izemoplasma apoleimma in co-culture with vs. without Desulfosporosinus nitroreducens strain P130
DOI: 10.6084/m9.figshare.21900446
title: Supplementary_table_S2.xlsx

description: Supplementary table S2 - expression profile of Candidatus Labilibaculum quisquilia in co-culture with vs. without Desulfosporosinus nitroreducens strain P130
DOI: 10.6084/m9.figshare.21900446.v1
title: Supplementary_table_S2.xlsx

description: Supplementary table S2 - expression profile of Candidatus Labilibaculum quisquilia in co-culture with vs. without Desulfosporosinus nitroreducens strain P130
DOI: 10.6084/m9.figshare.21900452
title: Supplementary_table_S3.xlsx

description: Supplementary table S3 - expression profile of Desulfosporosinus nitroreducens strain P130 in co-culture with and without methanogenic enrichment M32 consisting of Ca. Mc. chernomoris, Ca. L. quisquilia and Ca. I. apoleimma
DOI: 10.6084/m9.figshare.21900452.v1
title: Supplementary_table_S3.xlsx

description: Supplementary table S3 - expression profile of Desulfosporosinus nitroreducens strain P130 in co-culture with and without methanogenic enrichment M32 consisting of Ca. Mc. chernomoris, Ca. L. quisquilia and Ca. I. apoleimma
DOI: 10.34740/kaggle/dsv/4825114
title: Watson dataset
DOI: 10.5281/zenodo.7536816
title: Design of news recommendation model based on sub-attention news encoder

description: data set used for the project Design of news recommendation model based on sub-attention news encoder
DOI: 10.5281/zenodo.7536815
title: Design of news recommendation model based on sub-attention news encoder

description: data set used for the project Design of news recommendation model based on sub-attention news encoder
DOI: 10.5281/zenodo.7536898
title: Aerosol impacts on storm electrification and lightning discharges under different thermodynamic environments

description: These are important data supporting the conclusion of the paper are available in the main text.
DOI: 10.34740/kaggle/dsv/4851162
title: Watson dataset
DOI: 10.34740/kaggle/dsv/4851217
title: COVID Vaccination in World (updated daily)
DOI: 10.6084/m9.figshare.21900504
title: Supporting data JBF

description: Spot and futures daily prices
DOI: 10.6084/m9.figshare.21900504.v1
title: Supporting data JBF

description: Spot and futures daily prices
DOI: 10.34740/kaggle/dsv/4851169
title: FIFA 2022 WORLD CUP: COMPLETE DATASET
DOI: 10.6084/m9.figshare.21900507
title: Data For JBF

description: Spot and futures prices
DOI: 10.6084/m9.figshare.21900507.v1
title: Data For JBF

description: Spot and futures prices
DOI: 10.34740/kaggle/dsv/4851344
title: 100Jobshop Problem data
DOI: 10.34740/kaggle/ds/2811545
title: 100Jobshop Problem data
DOI: 10.34740/kaggle/dsv/4851353
title: doublejobshop
DOI: 10.34740/kaggle/dsv/4851361
title: 1000jobshop
DOI: 10.21227/h92c-gr86
title: Abliene_tm2_norm

description: This file contains the initialization of the source data, the estimation of the traffic matrix and the generation of the images.
DOI: 10.6084/m9.figshare.21862536
title: Data for titled "Genomic architecture underlying morphological and physiological adaptation to high elevation in a songbird"

description: Commands.zip contains the following files: 1. babble_beak_anova: The R code of assumpt tests and anova of beak data. bab_beak.txt: contains the original beak morphological data. <br> 2. fastsimcoal_files: It contains template and estimation files that were used in the research. <br> 3. Commands text file: The program command lines used in the study. <br> GO_KEGG_perl.zip contains files and perl script for enrichment analysis.
DOI: 10.6084/m9.figshare.21862536.v2
title: Data for titled "Genomic architecture underlying morphological and physiological adaptation to high elevation in a songbird"

description: Commands.zip contains the following files: 1. babble_beak_anova: The R code of assumpt tests and anova of beak data. bab_beak.txt: contains the original beak morphological data. <br> 2. fastsimcoal_files: It contains template and estimation files that were used in the research. <br> 3. Commands text file: The program command lines used in the study. <br> GO_KEGG_perl.zip contains files and perl script for enrichment analysis.
DOI: 10.5281/zenodo.7537055
title: Spectral data associated to the publication: "Reflectance study of ice and Mars soil simulant associations—II. CO2 and H2O ice" by Z. Yoldi et al. (Icarus 386, 2022)

description: This is the complete set of experimental VIS-NIR reflectance data collected by Z. Yoldi and co-authors for the article "Reflectance study of ice and Mars soil simulant associations—II. CO2 and H2O ice" published in Icarus 386 (2022). doi: https://doi.org/10.1016/j.icarus.2022.115116. A pre-print of the article is also freely available on ArXiv: https://arxiv.org/abs/2207.13905 The article provides the methodology for the spectral aquisitions, discussion of the errors and uncertainties, analysis of the spectra and implications for the composition of Solar System surfaces. The spectral data are organised in folders corresponding to the different types of experiments detailed in the article. In case both hyperspectral and multispectral data were acquired, they are organised in subfolders. The spectral files inside these folders and subfolders have the following naming convention: spectrum_YYYYMMDD_experiment_name_TYPE_XX_YYY.csv Where TYPE is either multi (multispectral) or hyper (hyperspectral), XX indicates different samples within the experiment (see paper, figures and tables) and YYY is a sequential number in case of a temporal evolution (sublimation experiment in "20180207_ternary_mixture" with 12 timesteps). The files are in csv format (columns separated by comma) and the content of each column is indicated in the first line (header).
DOI: 10.5281/zenodo.7537054
title: Spectral data associated to the publication: "Reflectance study of ice and Mars soil simulant associations—II. CO2 and H2O ice" by Z. Yoldi et al. (Icarus 386, 2022)

description: This is the complete set of experimental VIS-NIR reflectance data collected by Z. Yoldi and co-authors for the article "Reflectance study of ice and Mars soil simulant associations—II. CO2 and H2O ice" published in Icarus 386 (2022). doi: https://doi.org/10.1016/j.icarus.2022.115116. A pre-print of the article is also freely available on ArXiv: https://arxiv.org/abs/2207.13905 The article provides the methodology for the spectral aquisitions, discussion of the errors and uncertainties, analysis of the spectra and implications for the composition of Solar System surfaces. The spectral data are organised in folders corresponding to the different types of experiments detailed in the article. In case both hyperspectral and multispectral data were acquired, they are organised in subfolders. The spectral files inside these folders and subfolders have the following naming convention: spectrum_YYYYMMDD_experiment_name_TYPE_XX_YYY.csv Where TYPE is either multi (multispectral) or hyper (hyperspectral), XX indicates different samples within the experiment (see paper, figures and tables) and YYY is a sequential number in case of a temporal evolution (sublimation experiment in "20180207_ternary_mixture" with 12 timesteps). The files are in csv format (columns separated by comma) and the content of each column is indicated in the first line (header).
DOI: 10.6084/m9.figshare.21900303
title: Expression Matrices of Groups

description: Expression matrices of groups. <br> Abbreviations: OE - overexpression Ctrl - control
DOI: 10.6084/m9.figshare.21900303.v1
title: Expression Matrices of Groups

description: Expression matrices of groups. <br> Abbreviations: OE - overexpression Ctrl - control
DOI: 10.5517/ccdc.csd.cc2dzt6f
title: CCDC 2234145: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.W. Harrington|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dzt7g
title: CCDC 2234146: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.W. Harrington|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dzt8h
title: CCDC 2234147: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.W. Harrington|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dzt9j
title: CCDC 2234148: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.W. Harrington|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dztbk
title: CCDC 2234149: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.W. Harrington|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dztcl
title: CCDC 2234150: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.W. Harrington|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.34740/kaggle/dsv/4851607
title: Mahanagar Yatayat Dataset
DOI: 10.6084/m9.figshare.21900612
title: e.vcf

description: Extreme climate change may lead to a decline in biodiversity and species extinction. And it also results in different population structure and genetic diversity of sheep. Therefore, studying the effect.......
DOI: 10.6084/m9.figshare.21900612.v1
title: e.vcf

description: Extreme climate change may lead to a decline in biodiversity and species extinction. And it also results in different population structure and genetic diversity of sheep. Therefore, studying the effect.......
DOI: 10.5281/zenodo.7410437
title: Wiki-based Knowledge about Demographics and Outstanding Members

description: These datasets contains statements about demographic factors and outstanding members from Wiki-based knowledge (i.e., Wikipedia and Wikidata). Group-centric dataset (sample of what is it about): <strong>Demographic factors</strong> of <strong>winners of Nobel Prize in Physics</strong> include: <em>male</em>, <em>physicist</em>, <em>american</em>, <em>university teacher</em>, and <em>researcher</em>. <strong>Outstanding members</strong> in this group include <em>Maria Curie</em> (who isn't male but female) and <em>Wilhelm Röntgen</em> (who isn't a citizen of the U.S. but Germany). Subject-centric dataset (sample of what is it about): <strong>Fun trivia</strong> about <strong>Max Planck </strong>include: unlike 93% of winners of Liebig Medal (an award by Society of German Chemists), <strong>Planck </strong>was not a <em>chemist</em>, but a <em>physicist</em>. This data can be also browsed at: https://wikiknowledge.onrender.com/demographics/
DOI: 10.5281/zenodo.7458445
title: Wiki-based Knowledge about Demographics and Outstanding Members

description: These datasets contains statements about demographic factors and outstanding members from Wiki-based knowledge (i.e., Wikipedia and Wikidata). Group-centric dataset (sample of what is it about): <strong>Demographic factors</strong> of <strong>winners of Nobel Prize in Physics</strong> include: <em>male</em>, <em>physicist</em>, <em>american</em>, <em>university teacher</em>, and <em>researcher</em>. <strong>Outstanding members</strong> in this group include <em>Maria Curie</em> (who isn't male but female) and <em>Wilhelm Röntgen</em> (who isn't a citizen of the U.S. but Germany). Subject-centric dataset (sample of what is it about): <strong>Fun trivia</strong> about <strong>Max Planck </strong>include: unlike 93% of winners of Liebig Medal (an award by Society of German Chemists), <strong>Planck </strong>was not a <em>chemist</em>, but a <em>physicist</em>. This data can be also browsed at: https://wikiknowledge.onrender.com/demographics/
DOI: 10.5281/zenodo.7468317
title: Wiki-based Knowledge about Demographics and Outstanding Members

description: These datasets contains statements about demographic factors and outstanding members from Wiki-based knowledge (i.e., Wikipedia and Wikidata). Group-centric dataset (sample of what is it about): <strong>Demographic factors</strong> of <strong>winners of Nobel Prize in Physics</strong> include: <em>male</em>, <em>physicist</em>, <em>american</em>, <em>university teacher</em>, and <em>researcher</em>. <strong>Outstanding members</strong> in this group include <em>Maria Curie</em> (who isn't male but female) and <em>Wilhelm Röntgen</em> (who isn't a citizen of the U.S. but Germany). Subject-centric dataset (sample of what is it about): <strong>Fun trivia</strong> about <strong>Max Planck </strong>include: unlike 93% of winners of Liebig Medal (an award by Society of German Chemists), <strong>Planck </strong>was not a <em>chemist</em>, but a <em>physicist</em>. This data can be also browsed at: https://wikiknowledge.onrender.com/demographics/
DOI: 10.5281/zenodo.7486559
title: Wiki-based Knowledge about Demographics and Outstanding Members

description: These datasets contains statements about demographic factors and outstanding members from Wiki-based knowledge (i.e., Wikipedia and Wikidata). Group-centric dataset (sample of what is it about): <strong>Demographic factors</strong> of <strong>winners of Nobel Prize in Physics</strong> include: <em>male</em>, <em>physicist</em>, <em>american</em>, <em>university teacher</em>, and <em>researcher</em>. <strong>Outstanding members</strong> in this group include <em>Maria Curie</em> (who isn't male but female) and <em>Wilhelm Röntgen</em> (who isn't a citizen of the U.S. but Germany). Subject-centric dataset (sample of what is it about): <strong>Fun trivia</strong> about <strong>Max Planck </strong>include: unlike 93% of winners of Liebig Medal (an award by Society of German Chemists), <strong>Planck </strong>was not a <em>chemist</em>, but a <em>physicist</em>. This data can be also browsed at: https://wikiknowledge.onrender.com/demographics/
DOI: 10.5281/zenodo.7494754
title: Wiki-based Knowledge about Demographics and Outstanding Members

description: These datasets contains statements about demographic factors and outstanding members from Wiki-based knowledge (i.e., Wikipedia and Wikidata). Group-centric dataset (sample of what is it about): <strong>Demographic factors</strong> of <strong>winners of Nobel Prize in Physics</strong> include: <em>male</em>, <em>physicist</em>, <em>american</em>, <em>university teacher</em>, and <em>researcher</em>. <strong>Outstanding members</strong> in this group include <em>Maria Curie</em> (who isn't male but female) and <em>Wilhelm Röntgen</em> (who isn't a citizen of the U.S. but Germany). Subject-centric dataset (sample of what is it about): <strong>Fun trivia</strong> about <strong>Max Planck </strong>include: unlike 93% of winners of Liebig Medal (an award by Society of German Chemists), <strong>Planck </strong>was not a <em>chemist</em>, but a <em>physicist</em>. This data can be also browsed at: https://wikiknowledge.onrender.com/demographics/
DOI: 10.5281/zenodo.7512792
title: Wiki-based Knowledge about Demographics and Outstanding Members

description: These datasets contains statements about demographic factors and outstanding members from Wiki-based knowledge (i.e., Wikipedia and Wikidata). Group-centric dataset (sample of what is it about): <strong>Demographic factors</strong> of <strong>winners of Nobel Prize in Physics</strong> include: <em>male</em>, <em>physicist</em>, <em>american</em>, <em>university teacher</em>, and <em>researcher</em>. <strong>Outstanding members</strong> in this group include <em>Maria Curie</em> (who isn't male but female) and <em>Wilhelm Röntgen</em> (who isn't a citizen of the U.S. but Germany). Subject-centric dataset (sample of what is it about): <strong>Fun trivia</strong> about <strong>Max Planck </strong>include: unlike 93% of winners of Liebig Medal (an award by Society of German Chemists), <strong>Planck </strong>was not a <em>chemist</em>, but a <em>physicist</em>. This data can be also browsed at: https://wikiknowledge.onrender.com/demographics/
DOI: 10.5281/zenodo.7515182
title: Wiki-based Knowledge about Demographics and Outstanding Members

description: These datasets contains statements about demographic factors and outstanding members from Wiki-based knowledge (i.e., Wikipedia and Wikidata). Group-centric dataset (sample of what is it about): <strong>Demographic factors</strong> of <strong>winners of Nobel Prize in Physics</strong> include: <em>male</em>, <em>physicist</em>, <em>american</em>, <em>university teacher</em>, and <em>researcher</em>. <strong>Outstanding members</strong> in this group include <em>Maria Curie</em> (who isn't male but female) and <em>Wilhelm Röntgen</em> (who isn't a citizen of the U.S. but Germany). Subject-centric dataset (sample of what is it about): <strong>Fun trivia</strong> about <strong>Max Planck </strong>include: unlike 93% of winners of Liebig Medal (an award by Society of German Chemists), <strong>Planck </strong>was not a <em>chemist</em>, but a <em>physicist</em>. This data can be also browsed at: https://wikiknowledge.onrender.com/demographics/
DOI: 10.5281/zenodo.7520623
title: Wiki-based Knowledge about Demographics and Outstanding Members

description: These datasets contains statements about demographics and outliers of Wiki-based Communities of Interests. <strong>Group-centric dataset (sample):</strong> <pre><code class="language-json">{ "title": "winners of Priestley Medal", "recorded_members": 83, "topics": ["STEM.Chemistry"], "demographics": [ "occupation-chemist", "gender-male", "citizen-U.S." ], "outliers": [ { "reason": "NOT(chemist) unlike 82 recorded members", "members": [ "Francis Garvan (lawyer, art collector)" ] }, { "reason": "NOT(male) unlike 80 recorded members", "members": [ "Mary L. Good (female)", "Darleane Hoffman (female)", "Jacqueline Barton (female)" ] } ] }</code></pre> <strong>Subject-centric dataset (sample):</strong> <pre><code class="language-json">{ "subject": "Serena Williams", "statements": [ { "statement": "NOT(sport-basketball) but (tennis) unlike 4 recorded winners of Best Female Athlete ESPY Award.", "score": 0.36 }, { "statement": "NOT(occupation-politician) but (tennis player, businessperson, autobiographer) unlike 20 recorded winners of Michigan Women's Hall of Fame.", "score": 0.17 } ] }</code></pre> <strong>This data can be also browsed at: https://wikiknowledge.onrender.com/demographics/</strong>
DOI: 10.6084/m9.figshare.21900576
title: How does citizen's emotional reactions affect government trust during COVID-19.dta

description: The data of this study were obtained through an online questionnaire conducted by scholars in China from April 22 to April 28, 2020. The questions of the questionnaire were designed by an international team consisting of more than two dozen scholars, including front-line researchers in the city of Wuhan and other Chinese cities, as well as political culture and public health scholars from Canada and Sweden.
DOI: 10.6084/m9.figshare.21900576.v1
title: How does citizen's emotional reactions affect government trust during COVID-19.dta

description: The data of this study were obtained through an online questionnaire conducted by scholars in China from April 22 to April 28, 2020. The questions of the questionnaire were designed by an international team consisting of more than two dozen scholars, including front-line researchers in the city of Wuhan and other Chinese cities, as well as political culture and public health scholars from Canada and Sweden.