cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc29y1jv
title: CCDC 2143077: Experimental Crystal Structure Determination

description: Related Article: Charlene Harriswangler, Laura Caneda-Martínez, Olivier Rousseaux, David Esteban-Gómez, Olivier Fougère, Rosa Pujales-Paradela, Laura Valencia, M. Isabel Fernández, Nicolas Lepareur, Carlos Platas-Iglesias|2022|Inorg.Chem.|61|6209|doi:10.1021/acs.inorgchem.2c00378
DOI: 10.5517/ccdc.csd.cc29zqkl
title: CCDC 2144690: Experimental Crystal Structure Determination

description: Related Article: Brett M. Hakey, Dylan C. Leary, Lauren M. Lopez, Leyla R. Valerio, William W. Brennessel, Carsten Milsmann, Ellen M. Matson|2022|Inorg.Chem.|61|6182|doi:10.1021/acs.inorgchem.2c00348
DOI: 10.5517/ccdc.csd.cc2b84md
title: CCDC 2152783: Experimental Crystal Structure Determination

description: Related Article: Fabio Pasquale Caló, Anne Zimmer, Giovanni Bistoni, Alois Fürstner|2022|J.Am.Chem.Soc.|144|7465|doi:10.1021/jacs.2c02258
DOI: 10.5517/ccdc.csd.cc29xgf4
title: CCDC 2142516: Experimental Crystal Structure Determination

description: Related Article: Zhen-Hua Guo, Peng-Feng Zhang, Lu-Lu Ma, Yu-Xin Deng, Guo-Ping Yang, Yao-Yu Wang|2022|Inorg.Chem.|61|6101|doi:10.1021/acs.inorgchem.2c00224
DOI: 10.5517/ccdc.csd.cc29xgd3
title: CCDC 2142515: Experimental Crystal Structure Determination

description: Related Article: Zhen-Hua Guo, Peng-Feng Zhang, Lu-Lu Ma, Yu-Xin Deng, Guo-Ping Yang, Yao-Yu Wang|2022|Inorg.Chem.|61|6101|doi:10.1021/acs.inorgchem.2c00224
DOI: 10.5517/ccdc.csd.cc2bgcck
title: CCDC 2158758: Experimental Crystal Structure Determination

description: Related Article: Brett M. Hakey, Dylan C. Leary, Lauren M. Lopez, Leyla R. Valerio, William W. Brennessel, Carsten Milsmann, Ellen M. Matson|2022|Inorg.Chem.|61|6182|doi:10.1021/acs.inorgchem.2c00348
DOI: 10.6084/m9.figshare.19687632
title: Influencer Marketing_April 21, 2022_12.50.sav

description: Data used for the research: <strong>TRANSPARENCY OF VIRTUAL INFLUENCERS SPONSORED POSTS. OBSERVATIONS ON THE FIRST VIRTUAL INFLUENCER FROM ROMANIA, ANA TOBOR.</strong>
DOI: 10.6084/m9.figshare.19687629
title: Influencer_Marketing_survey_Codebook.docx

description: Used for the paper: <strong>TRANSPARENCY OF VIRTUAL INFLUENCERS SPONSORED POSTS. OBSERVATIONS ON THE FIRST VIRTUAL INFLUENCER FROM ROMANIA, ANA TOBOR.</strong>
DOI: 10.6084/m9.figshare.19687629.v1
title: Influencer_Marketing_survey_Codebook.docx

description: Used for the paper: <strong>TRANSPARENCY OF VIRTUAL INFLUENCERS SPONSORED POSTS. OBSERVATIONS ON THE FIRST VIRTUAL INFLUENCER FROM ROMANIA, ANA TOBOR.</strong>
DOI: 10.6084/m9.figshare.19687611
title: Influencer Marketing_daa for marketing containg posts.sav

description: <strong>TRANSPARENCY OF VIRTUAL INFLUENCERS SPONSORED POSTS. OBSERVATIONS ON THE FIRST VIRTUAL INFLUENCER FROM ROMANIA, ANA TOBOR.</strong>
DOI: 10.5281/zenodo.6508163
title: Supplementary Material of "How Does Author Affiliation Affect Preprint Citation Count? Analyzing Citation Bias at the Institution and Country Level"

description: The source code and dataset for the following paper: Nishioka, C., Färber, M., and Saier, T. How Does Author Affiliation Affect Preprint Citation Count? Analyzing Citation Bias at the Institution and Country Level. In Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2022 (JCDL '22), 2022.
DOI: 10.5281/zenodo.6508162
title: Supplementary Material of "How Does Author Affiliation Affect Preprint Citation Count? Analyzing Citation Bias at the Institution and Country Level"

description: The source code and dataset for the following paper: Nishioka, C., Färber, M., and Saier, T. How Does Author Affiliation Affect Preprint Citation Count? Analyzing Citation Bias at the Institution and Country Level. In Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2022 (JCDL '22), 2022.
DOI: 10.6084/m9.figshare.19687662.v1
title: Acoustic and visual stimuli

description: Stimuli used in the predator model presentations and playbacks of predator vocalizations
DOI: 10.6084/m9.figshare.19687662
title: Acoustic and visual stimuli

description: Stimuli used in the predator model presentations and playbacks of predator vocalizations
DOI: 10.6084/m9.figshare.19687674.v1
title: Dataset predator presentations

description: Dataset with raw results
DOI: 10.34740/kaggle/ds/2080361
title: CXR DATA for Multiclass classification
DOI: 10.6084/m9.figshare.19687674.v2
title: Dataset predator presentations

description: Dataset with raw results
DOI: 10.34740/kaggle/dsv/3554179
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.19687674
title: Dataset and statistical script

description: Dataset with raw results, final dataset and R script
DOI: 10.6084/m9.figshare.19687674.v4
title: Dataset and statistical script

description: Dataset with raw results, final dataset and R script
DOI: 10.6084/m9.figshare.19687674.v3
title: Dataset and statistical script

description: Dataset with raw results, final dataset and R script
DOI: 10.34740/kaggle/dsv/3554204
title: 2021 World Population (updated daily)
DOI: 10.5281/zenodo.6508222
title: Supplementary Materials from the article Characterization and molecular evolution analysis of Periploca forrestii inferred from its complete chloroplast genome sequence

description: Table S1. Base composition of chloroplast genome in <em>P. forrestii</em>, Table S2. The lengths of introns and exons for the splitting genes, Table S3. The GC content of the codons from <em>P. forrestii </em>chloroplast genome, Table S4. Preferred codons in chloroplast genome of <em>P. forrestii</em>, Table S5. Long repeat sequences in the <em>P. forrestii </em>chloroplast genome, Figure S1. Codon bias analysis of P. forrestii chloroplast genome. (A) Neutrality plot analysis; (B) Analysis of PR2 bias plot; (C) Analysis on ENC and GC3 relationship.
DOI: 10.5281/zenodo.6508221
title: Supplementary Materials from the article Characterization and molecular evolution analysis of Periploca forrestii inferred from its complete chloroplast genome sequence

description: Table S1. Base composition of chloroplast genome in <em>P. forrestii</em>, Table S2. The lengths of introns and exons for the splitting genes, Table S3. The GC content of the codons from <em>P. forrestii </em>chloroplast genome, Table S4. Preferred codons in chloroplast genome of <em>P. forrestii</em>, Table S5. Long repeat sequences in the <em>P. forrestii </em>chloroplast genome, Figure S1. Codon bias analysis of P. forrestii chloroplast genome. (A) Neutrality plot analysis; (B) Analysis of PR2 bias plot; (C) Analysis on ENC and GC3 relationship.
DOI: 10.5281/zenodo.6508229
title: Acanthamoeba castellanii genome assembly and infection by Legionella pneumophila

description: Data associated with the publication "<em>Regulation of the Acanthamoeba castellanii genome upon infection by Legionella pneumophila</em>". The record contains 4 archives, each associated with a github repository, and a "shared assets" archive, which contains processed files used by some repositories. The code from github repositories is embedded in each tarball, along with input and output data. Analyses are organized as independent snakemake pipelines for each part. For convenient reanalysis, genomes, annotations and merged contact maps used in the publication can be found in the `shared_assets.tar.gz` archive. The infection analysis results are located in the `data/output` folder of Acastellanii_legionella_infection.tar.gz. All archives can be downloaded at the bottom of the page. <strong>Hybrid genome assembly:</strong> Genome assembly pipeline code and output data used for the assembly of 2 <em>A. castellanii</em> strains (Neff and C3) through a hybrid pipeline combining Illumina shotgun, Hi-C and Oxford Nanopore long reads. Github: https://github.com/cmdoret/Acastellanii_hybrid_assembly Archive: Acastellanii_hybrid_assembly.tar.gz <strong>Genome annotation:</strong> Genome annotation pipeline used for functional annotation of <em>A. castellanii</em> strains C3 and Neff, and associated output files. Github: https://github.com/cmdoret/Acastellanii_genome_annotation Archive: Acastellanii_genome_annotation.tar.gz <strong>Genome analyses:</strong> Code and data related to general analyses of genomic properties of <em>A. castellanii</em> strains C3 and Neff. Github: https://github.com/cmdoret/Acastellanii_genome_analysis Archive: Acastellanii_genome_analysis.tar.gz <strong>Infection analyses:</strong> Code and data related to the analysis of structural changes in the <em>A. castellanii</em> C3 genome during infection by <em>L. pneumophila</em>. Github: https://github.com/cmdoret/Acastellanii_legionella_infection Archive: Acastellanii_legionella_infection.tar.gz<br> <strong>Shared assets:</strong> This archive contains processed files (genomes, annotations, Hi-C matrices, differential expression results) which can be useful for reanalysis, and are automatically pulled when executing the pipeline of some repositories. Archive: shared_assets.tar.gz<br>
DOI: 10.5281/zenodo.6508239
title: Test

description: test
DOI: 10.5281/zenodo.6508238
title: Test

description: test
DOI: 10.5281/zenodo.6507579
title: Artifacts of the ASE2022 Submission JUnitTestGen

description: This release includes the experimental results that are used for the ASE artifact analysis. All the results are described in our paper. All required artifacts are attached to this release. <br> The source code is made publicly available on the bitbucket page: https://bitbucket.org/se_anonymous/junittestgen/src/master/<br> Users can easily access and execute our tool following the steps in the Setup part. In addition, all of our experimental results are publicly available on this page. For simplicity, we provide the following instructions for our artifacts: 1.<strong>Experimental_Setup.zip</strong> : Experimental Setup, including 10,000 Android apps(for each target SDK version between 21 (i.e., Android 5.0) and 30 (i.e., Android<br> 11.03) from AndroZoo).<br> 2.<strong>All_Tests.zip </strong>: All the generated test cases.<br> 3.<strong>TestName_TargetAPI_Mapping.txt</strong> : The mapping of test case name and its corresponding target API.<br> 4.<strong>JUnitTestRun_SDK*_log.txt </strong>: Tests Execution results on SDK 21 - 30(* refers to SDK version).<br> 5.<strong>EvoSuite-tests.zip</strong> : The generated test cases by using Evosuite<br> 6.<strong>Evosuite_results.zip</strong> : Execution results of tests generated by Evosuite<br> 7.<strong>CiD.zip</strong> : CiD results
DOI: 10.5281/zenodo.6507578
title: Artifacts of the ASE2022 Submission JUnitTestGen

description: This release includes the experimental results that are used for the ASE artifact analysis. All the results are described in our paper. All required artifacts are attached to this release. <br> The source code is made publicly available on the bitbucket page: https://bitbucket.org/se_anonymous/junittestgen/src/master/<br> Users can easily access and execute our tool following the steps in the Setup part. In addition, all of our experimental results are publicly available on this page. For simplicity, we provide the following instructions for our artifacts: 1.<strong>Experimental_Setup.zip</strong> : Experimental Setup, including 10,000 Android apps(for each target SDK version between 21 (i.e., Android 5.0) and 30 (i.e., Android<br> 11.03) from AndroZoo).<br> 2.<strong>All_Tests.zip </strong>: All the generated test cases.<br> 3.<strong>TestName_TargetAPI_Mapping.txt</strong> : The mapping of test case name and its corresponding target API.<br> 4.<strong>JUnitTestRun_SDK*_log.txt </strong>: Tests Execution results on SDK 21 - 30(* refers to SDK version).<br> 5.<strong>EvoSuite-tests.zip</strong> : The generated test cases by using Evosuite<br> 6.<strong>Evosuite_results.zip</strong> : Execution results of tests generated by Evosuite<br> 7.<strong>CiD.zip</strong> : CiD results
DOI: 10.5281/zenodo.5256140
title: Integrated Harmonized Dataset Adolescent Substance Use, Psychosocial Constructs, and Demographics

description: This dataset contains final analysis cases used in our paper Psychosocial Constructs Related to Alcohol, Cigarette, and Marijuana Use: An Integrated and Harmonized Analysis. We assembled raw data from 25 longitudinal research projects. We collected data from our own research projects (7 projects) as well data provided by 18 researchers. Datasets included epidemiological studies and prevention studies. For the latter, only control group and pretest data were included. All data, including surveys and projects have been de-identified.
description: {"references": ["Hansen, W. B., Saldana, S., & Ip, E. H. Psychosocial indicators of adolescent alcohol, cigarette, and marijuana use: An analysis of normalized, harmonized, and pooled data"]}
DOI: 10.5281/zenodo.5256139
title: Integrated Harmonized Dataset Adolescent Substance Use, Psychosocial Constructs, and Demographics

description: This dataset contains final analysis cases used in our paper Psychosocial Constructs Related to Alcohol, Cigarette, and Marijuana Use: An Integrated and Harmonized Analysis. We assembled raw data from 25 longitudinal research projects. We collected data from our own research projects (7 projects) as well data provided by 18 researchers. Datasets included epidemiological studies and prevention studies. For the latter, only control group and pretest data were included. All data, including surveys and projects have been de-identified.
description: {"references": ["Hansen, W. B., Saldana, S., & Ip, E. H. Psychosocial indicators of adolescent alcohol, cigarette, and marijuana use: An analysis of normalized, harmonized, and pooled data"]}
DOI: 10.5281/zenodo.6508243
title: Supplementary Material for Hasnat's Thesis 1/n

description: Supplementary Material for Hasnat's Thesis 1/n
DOI: 10.5281/zenodo.5203042
title: Supplementary Material for Hasnat's Thesis 1/n

description: Supplementary Material for Hasnat's Thesis 1/n
DOI: 10.6084/m9.figshare.19658427.v1
title: pulses.zip

description: This folder contains the global laser pulses found in Ref. [1] using GRAPE. <br> Each file is a CSV file with three columns: Column 1: Time, in units of 1/Omega_max Column 2: Absolute value |Omega| of Rabi frequency Omega(t) Column 3: Phase phi of Rabi frequency Omega(t) <br> Each file corresponds to a pulse plotted in Ref. [1]. The corresponding figures are: <br> 01_cz.csv -&gt; Fig. 1d) 02_cz_pulse1.csv -&gt; Fig. 2c) 03_cz_pulse2.csv -&gt; Fig. 2c) 04_c2z_minimal_time_in_r.csv -&gt; Fig. 3 05_cz_B10_pulseA.csv -&gt; Fig. 4a) 06_cz_B10_pulseB.csv -&gt; Fig. 4a) 07_c2z_B10_pulseC.csv -&gt; Fig. 4b) 08_c2z_B10_pulseD.csv -&gt; Fig. 4b) 09_c2z_B10_pulseE.csv -&gt; Fig. 4c) 10_c2z_B10_pulseF.csv -&gt; Fig. 4c) 11_c2z_B10_short_pulse.csv -&gt; Fig. 5a) 12_cz_robust_B.csv -&gt; Fig. 6c)d) 13_c2z_pulse1_robust_B.csv -&gt; Fig. 6f)g) 14_c2z_pulse2_robust_B.csv -&gt; Fig. 6i)j) <br> [1]: Sven Jandura and Guido Pupillo, "Time-Optimal Two- and Three-Qubit Gates for Rydberg Atoms", arXiv:2202.00903 (2022)
DOI: 10.34740/kaggle/dsv/3554427
title: COVID Vaccination in World (updated daily)
DOI: 10.6084/m9.figshare.19658427
title: pulses.zip

description: This folder contains the global laser pulses found in Ref. [1] using GRAPE. <br> Each file is a CSV file with three columns: Column 1: Time, in units of 1/Omega_max Column 2: Absolute value |Omega| of Rabi frequency Omega(t) Column 3: Phase phi of Rabi frequency Omega(t) <br> Each file corresponds to a pulse plotted in Ref. [1]. The corresponding figures are: <br> 01_cz.csv -&gt; Fig. 1d) 02_cz_pulse1.csv -&gt; Fig. 2c) 03_cz_pulse2.csv -&gt; Fig. 2c) 04_c2z_minimal_time_in_r.csv -&gt; Fig. 3 05_cz_B10_pulseA.csv -&gt; Fig. 4a) 06_cz_B10_pulseB.csv -&gt; Fig. 4a) 07_c2z_B10_pulseC.csv -&gt; Fig. 4b) 08_c2z_B10_pulseD.csv -&gt; Fig. 4b) 09_c2z_B10_pulseE.csv -&gt; Fig. 4c) 10_c2z_B10_pulseF.csv -&gt; Fig. 4c) 11_c2z_B10_short_pulse.csv -&gt; Fig. 5a) 12_cz_robust_B.csv -&gt; Fig. 6c)d) 13_c2z_pulse1_robust_B.csv -&gt; Fig. 6f)g) 14_c2z_pulse2_robust_B.csv -&gt; Fig. 6i)j) <br> [1]: Sven Jandura and Guido Pupillo, "Time-Optimal Two- and Three-Qubit Gates for Rydberg Atoms", arXiv:2202.00903 (2022)
DOI: 10.6084/m9.figshare.19658427.v2
title: pulses.zip

description: This folder contains the global laser pulses found in Ref. [1] using GRAPE. <br> Each file is a CSV file with three columns: Column 1: Time, in units of 1/Omega_max Column 2: Absolute value |Omega| of Rabi frequency Omega(t) Column 3: Phase phi of Rabi frequency Omega(t) <br> Each file corresponds to a pulse plotted in Ref. [1]. The corresponding figures are: <br> 01_cz.csv -&gt; Fig. 1d) 02_cz_pulse1.csv -&gt; Fig. 2c) 03_cz_pulse2.csv -&gt; Fig. 2c) 04_c2z_minimal_time_in_r.csv -&gt; Fig. 3 05_cz_B10_pulseA.csv -&gt; Fig. 4a) 06_cz_B10_pulseB.csv -&gt; Fig. 4a) 07_c2z_B10_pulseC.csv -&gt; Fig. 4b) 08_c2z_B10_pulseD.csv -&gt; Fig. 4b) 09_c2z_B10_pulseE.csv -&gt; Fig. 4c) 10_c2z_B10_pulseF.csv -&gt; Fig. 4c) 11_c2z_B10_short_pulse.csv -&gt; Fig. 5a) 12_cz_robust_B.csv -&gt; Fig. 6c)d) 13_c2z_pulse1_robust_B.csv -&gt; Fig. 6f)g) 14_c2z_pulse2_robust_B.csv -&gt; Fig. 6i)j) <br> [1]: Sven Jandura and Guido Pupillo, "Time-Optimal Two- and Three-Qubit Gates for Rydberg Atoms", arXiv:2202.00903 (2022)
DOI: 10.5281/zenodo.6505138
title: Leptodon cayanensis decontaminated FSCR

description: .
DOI: 10.5281/zenodo.6505137
title: Leptodon cayanensis decontaminated FSCR

description: .
DOI: 10.34740/kaggle/dsv/3554671
title: CXR DATA for Multiclass classification
DOI: 10.5281/zenodo.6508292
title: Accipiter nisus decontaminated FSCR

description: .
DOI: 10.5281/zenodo.6508291
title: Accipiter nisus decontaminated FSCR

description: .
DOI: 10.5281/zenodo.6508312
title: Cossypha caffra decontaminated FSCR

description: .
DOI: 10.5281/zenodo.6508311
title: Cossypha caffra decontaminated FSCR

description: .
DOI: 10.34740/kaggle/dsv/3554987
title: Mahanagar Yatayat Dataset
DOI: 10.11578/1865781
title: Test 1

description: asdfasdf
DOI: 10.5281/zenodo.6508380
title: Lithophaga nigra decontaminated FSCR

description: .
DOI: 10.5281/zenodo.6508379
title: Lithophaga nigra decontaminated FSCR

description: .
DOI: 10.34740/kaggle/dsv/3555132
title: WallStreetBets 2022
DOI: 10.5281/zenodo.6508376
title: SGFRD -- Datasets and Analysis Code

description: This folder contains the source code and scripts for data preprocessing and analysis.
DOI: 10.5281/zenodo.6508375
title: SGFRD -- Datasets and Analysis Code

description: This folder contains the source code and scripts for data preprocessing and analysis.
DOI: 10.5281/zenodo.6508421
title: Supplementary Table of Mechanism Unravelling of Sodium-glucose Cotransporter-2 Inhibitors against Diabetic Nephropathy via Network Pharma-cology and Molecular Docking

description: This is the supplementary tables of article named"Mechanism Unravelling of Sodium-glucose Cotransporter-2 Inhibitors against Diabetic Nephropathy via Network Pharmacology and Molecular Docking"
DOI: 10.5281/zenodo.6508420
title: Supplementary Table of Mechanism Unravelling of Sodium-glucose Cotransporter-2 Inhibitors against Diabetic Nephropathy via Network Pharma-cology and Molecular Docking

description: This is the supplementary tables of article named"Mechanism Unravelling of Sodium-glucose Cotransporter-2 Inhibitors against Diabetic Nephropathy via Network Pharmacology and Molecular Docking"
DOI: 10.6084/m9.figshare.19687920.v1
title: 2018 and 2020 Geonews Video.xlsx

description: Geonews Videos YouTube 2018 and 2020 Performance Dataset
DOI: 10.6084/m9.figshare.19687911.v1
title: GeonewsDataSet_2018_to_2020

description: Geonews YouTube Metrics for 2018 and 2020 <br> <strong>Usage</strong> <strong>Geonews Supplimentary Dataset</strong> covers YouTube Dataset of Geonews Videos and other General Geoscience Educational videos in 2018 and 2020. To check the video, see the UTD Geoscience Studio YouTube Channel . <strong>Metadata</strong> <pre><code>List of Geonews Videos<br> List of non-Geonews Videos<br> Feature Comparison between Geonews and non-Geonews Videos<br> </code></pre> ------------------------------------------------------------------------<br> If you have used this dataset, please cite the paper: Wang, N., Clowdus, Z., Sealander, A., & Stern, R. (2021). Geonews: Timely Geoscience Educational YouTube Videos about Recent Geologic Events. Geoscience Communication Discussions, 1-26. Click to Read the Paper https://camo.githubusercontent.com/951761fa173fb159d686f35370745e3a61b047e07aa01e39e19dc44ab75bae76/68747470733a2f2f7777772e67656f736369656e63652d636f6d6d756e69636174696f6e2e6e65742f677261706869635f6567755f636c61696d5f6c6f676f5f626c75652e706e67 https://doi.org/10.5194/gc-2021-38 © Author(s) 2021. This work is distributed under the Creative Commons Attribution 4.0 License.
DOI: 10.6084/m9.figshare.19687926
title: Comparison.xlsx

description: Comparison of geonews and non-geonews
DOI: 10.6084/m9.figshare.19687926.v2
title: Comparison.xlsx

description: Comparison of geonews and non-geonews
DOI: 10.6084/m9.figshare.19687926.v1
title: Comparison.xlsx

description: Comparison of geonews and non-geonews
DOI: 10.6084/m9.figshare.19687920
title: 2018 and 2020 Geonews Video.xlsx

description: Geonews Videos YouTube 2018 and 2020 Performance Dataset
DOI: 10.6084/m9.figshare.19687920.v3
title: 2018 and 2020 Geonews Video.xlsx

description: Geonews Videos YouTube 2018 and 2020 Performance Dataset
DOI: 10.6084/m9.figshare.19687920.v2
title: 2018 and 2020 Geonews Video.xlsx

description: Geonews Videos YouTube 2018 and 2020 Performance Dataset
DOI: 10.6084/m9.figshare.19687911.v3
title: GeonewsDataSet_2018_to_2020Geonews: Timely Geological Events Videos

description: Geonews YouTube Metrics for 2018 and 2020 <br> <strong>Usage</strong> <strong>Geonews Supplimentary Dataset</strong> covers YouTube Dataset of Geonews Videos and other General Geoscience Educational videos in 2018 and 2020. To check the video, see the UTD Geoscience Studio YouTube Channel . <strong>Metadata</strong> <pre><code>List of Geonews Videos<br> List of non-Geonews Videos<br> Feature Comparison between Geonews and non-Geonews Videos<br> </code></pre> ------------------------------------------------------------------------<br> If you have used this dataset, please cite the paper: Wang, N., Clowdus, Z., Sealander, A., & Stern, R. (2021). Geonews: Timely Geoscience Educational YouTube Videos about Recent Geologic Events. Geoscience Communication Discussions, 1-26. Click to Read the Paper https://camo.githubusercontent.com/951761fa173fb159d686f35370745e3a61b047e07aa01e39e19dc44ab75bae76/68747470733a2f2f7777772e67656f736369656e63652d636f6d6d756e69636174696f6e2e6e65742f677261706869635f6567755f636c61696d5f6c6f676f5f626c75652e706e67 https://doi.org/10.5194/gc-2021-38 © Author(s) 2021. This work is distributed under the Creative Commons Attribution 4.0 License.
DOI: 10.6084/m9.figshare.19687911.v2
title: GeonewsDataSet_2018_to_2020Geonews: Timely Geological Events Videos

description: Geonews YouTube Metrics for 2018 and 2020 <br> <strong>Usage</strong> <strong>Geonews Supplimentary Dataset</strong> covers YouTube Dataset of Geonews Videos and other General Geoscience Educational videos in 2018 and 2020. To check the video, see the UTD Geoscience Studio YouTube Channel . <strong>Metadata</strong> <pre><code>List of Geonews Videos<br> List of non-Geonews Videos<br> Feature Comparison between Geonews and non-Geonews Videos<br> </code></pre> ------------------------------------------------------------------------<br> If you have used this dataset, please cite the paper: Wang, N., Clowdus, Z., Sealander, A., & Stern, R. (2021). Geonews: Timely Geoscience Educational YouTube Videos about Recent Geologic Events. Geoscience Communication Discussions, 1-26. Click to Read the Paper https://camo.githubusercontent.com/951761fa173fb159d686f35370745e3a61b047e07aa01e39e19dc44ab75bae76/68747470733a2f2f7777772e67656f736369656e63652d636f6d6d756e69636174696f6e2e6e65742f677261706869635f6567755f636c61696d5f6c6f676f5f626c75652e706e67 https://doi.org/10.5194/gc-2021-38 © Author(s) 2021. This work is distributed under the Creative Commons Attribution 4.0 License.