cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc26r0ff
title: CCDC 2047904: Experimental Crystal Structure Determination

description: Related Article: Dipanjan Bhattacharyya, Bikash Kumar Sarmah, Sekhar Nandi, Hemant Kumar Srivastava, Animesh Das|2021|Org.Lett.|23|869|doi:10.1021/acs.orglett.0c04098
DOI: 10.5517/ccdc.csd.cc26r8s1
title: CCDC 2048163: Experimental Crystal Structure Determination

description: Related Article: Sudhakar Dattatray Tanpure, Balaji S. Kale, Rai-Shung Liu|2021|Org.Lett.|23|1394|doi:10.1021/acs.orglett.1c00055
DOI: 10.5517/ccdc.csd.cc26r8y6
title: CCDC 2048168: Experimental Crystal Structure Determination

description: Related Article: Sudhakar Dattatray Tanpure, Balaji S. Kale, Rai-Shung Liu|2021|Org.Lett.|23|1394|doi:10.1021/acs.orglett.1c00055
DOI: 10.5517/ccdc.csd.cc26r91b
title: CCDC 2048171: Experimental Crystal Structure Determination

description: Related Article: Sudhakar Dattatray Tanpure, Balaji S. Kale, Rai-Shung Liu|2021|Org.Lett.|23|1394|doi:10.1021/acs.orglett.1c00055
DOI: 10.5517/ccdc.csd.cc26rfm1
title: CCDC 2048313: Experimental Crystal Structure Determination

description: Related Article: Meng-Hui Li, Xiao-Ju Si, He Zhang, Dandan Yang, Jun-Long Niu, Mao-Ping Song|2021|Org.Lett.|23|914|doi:10.1021/acs.orglett.0c04122
DOI: 10.5517/ccdc.csd.cc26rpwk
title: CCDC 2048569: Experimental Crystal Structure Determination

description: Related Article: Sylvain Sudan, Ru-Jin Li, Suzanne M. Jansze, André Platzek, Robin Rudolf, Guido H. Clever, Farzaneh Fadaei-Tirani, Rosario Scopelliti, Kay Severin|2021|J.Am.Chem.Soc.|143|1773|doi:10.1021/jacs.0c12793
DOI: 10.5517/ccdc.csd.cc26sk5r
title: CCDC 2049384: Experimental Crystal Structure Determination

description: Related Article: Meng-Hui Li, Xiao-Ju Si, He Zhang, Dandan Yang, Jun-Long Niu, Mao-Ping Song|2021|Org.Lett.|23|914|doi:10.1021/acs.orglett.0c04122
DOI: 10.5517/ccdc.csd.cc26vr83
title: CCDC 2051495: Experimental Crystal Structure Determination

description: Related Article: Xiaofeng Liu, Ying Shao, Jiangtao Sun|2021|Org.Lett.|23|1038|doi:10.1021/acs.orglett.0c04229
DOI: 10.5517/ccdc.csd.cc26h1rj
title: CCDC 2040257: Experimental Crystal Structure Determination

description: Related Article: Demin Ren, Oskar Smaga, Xinliang Fu, Xiaofang Li, Miosz Pawlicki, Sebastian Koniarz, Piotr J. Chmielewski|2021|Org.Lett.|23|1032|doi:10.1021/acs.orglett.0c04227
DOI: 10.5517/ccdc.csd.cc26h1sk
title: CCDC 2040258: Experimental Crystal Structure Determination

description: Related Article: Demin Ren, Oskar Smaga, Xinliang Fu, Xiaofang Li, Miosz Pawlicki, Sebastian Koniarz, Piotr J. Chmielewski|2021|Org.Lett.|23|1032|doi:10.1021/acs.orglett.0c04227
DOI: 10.5517/ccdc.csd.cc26yqnk
title: CCDC 2054359: Experimental Crystal Structure Determination

description: Related Article: Li Shen, Wan-Shan Li, Yi Yu, Shi-Hao Sun, Jun Wu|2021|Org.Lett.|23|837|doi:10.1021/acs.orglett.0c04075
DOI: 10.25345/c50b7m
title: MassIVE MSV000086921 - GNPS_exampledata_CANNABIS_flavonoids20210221
title: flavonoids compounds in cannabis.bfuwialbfcsaFaCFasC
DOI: 10.26180/5d9994f4704ea
title: Melbourne built environment and transit use empirical dataset

description: The Ridership Performance tool for Greater Melbourne has been updated and is included in this repository, along with accompanying data and explanations to run the tool. Other files in this repository are supplementary to the ridership performance tool. <br><br>Please note: changes have bene made to this database since publication of Aston, L., Currie, G., Kamruzzaman, M., Delbosc, A., Fournier, N., & Teller, D. (2020). Addressing transit mode location bias in built environment-transit mode use research. Journal of Transport Geography, 87(July 2020). https://doi.org/https://doi.org/10.1016/j.jtrangeo.2020.102786 The current version (3) should be used for all future planning and forecasting. <br>Please refer to version 2 of this dataset if you would like to test the assumptions and findings of the study mentioned above.<br><b>Description</b>The main database file presented here (BETU.Melbourne.Database.v3_20201006) contains indicators of the station-are built environment and sociodemographic characteristics at Melbourne's train, tram and bus stops.<br>The database is practice-ready, constituting a valuable input to understanding built environment impacts on transit ridership.<br>Supporting files contained in this dataset include:- Stop-level data, mapped to 'facilities' (groups of nearby stops)- Polygon-level data<br>- Data protocol describing the inputs to the database<br>
DOI: 10.5281/zenodo.4553836
title: PhD-Thesis Annex 1 - Comparative analysis of design-based research in Educational Sciences and Information Systems Research

description: This is the result of a structured literature review on design-based research in educational sciences and information systems research.
DOI: 10.5281/zenodo.4553835
title: PhD-Thesis Annex 1 - Comparative analysis of design-based research in Educational Sciences and Information Systems Research

description: This is the result of a structured literature review on design-based research in educational sciences and information systems research.
DOI: 10.5281/zenodo.4553844
title: PhD-Thesis Annex 2 - Problem analysis for older adults' lack of engagement with new technologies

description: This is the result of a structured literature review on the reasons for older adults' lack of engagement with new technologies.
DOI: 10.5281/zenodo.4553843
title: PhD-Thesis Annex 2 - Problem analysis for older adults' lack of engagement with new technologies

description: This is the result of a structured literature review on the reasons for older adults' lack of engagement with new technologies.
DOI: 10.5281/zenodo.4553845
title: dgiovannelli/SubductCR_16S-diversity: Accepted publication release

description: The code and data connected to the "Biology Meets Subduction" 16S rRNA paper submitted to EarthArXiv and now accepted for publication. This is the release of the data and code for the accepted version of the paper.
DOI: 10.5281/zenodo.3483103
title: dgiovannelli/SubductCR_16S-diversity: Accepted publication release

description: The code and data connected to the "Biology Meets Subduction" 16S rRNA paper submitted to EarthArXiv and now accepted for publication. This is the release of the data and code for the accepted version of the paper.
DOI: 10.5281/zenodo.4553847
title: PhD-Thesis Annex 3 - Review of the state-of-research on Self Determination Theory and its applications to game-based learning and technology use

description: This is the result of a structured literature review on the state-of-research on Self Determination Theory and its applications to game-based learning and technology use.
DOI: 10.5281/zenodo.4553846
title: PhD-Thesis Annex 3 - Review of the state-of-research on Self Determination Theory and its applications to game-based learning and technology use

description: This is the result of a structured literature review on the state-of-research on Self Determination Theory and its applications to game-based learning and technology use.
DOI: 10.5281/zenodo.4553849
title: PhD-Thesis Annex 4 - Review of related work on existing approaches to facilitate motivation in the initial phases of technology use

description: This is the result of a literature review of related work on existing approaches to facilitate motivation in the initial phases of technology use.
DOI: 10.5281/zenodo.4553848
title: PhD-Thesis Annex 4 - Review of related work on existing approaches to facilitate motivation in the initial phases of technology use

description: This is the result of a literature review of related work on existing approaches to facilitate motivation in the initial phases of technology use.
DOI: 10.5281/zenodo.4550460
title: Data supplement for 'Generation of vorticity by flow-topography interaction: Anticyclones in the Caribbean Sea'

description: Data supplement for 'Generation of vorticity by flow-topography interaction: Anticyclones in the Caribbean Sea'. This dataset contains all data used to obtain the Figures and Tables of this paper. Note that the data of the CS-nest contains 1 snapshot per day.
DOI: 10.5281/zenodo.4550459
title: Data supplement for 'Generation of vorticity by flow-topography interaction: Anticyclones in the Caribbean Sea'

description: Data supplement for 'Generation of vorticity by flow-topography interaction: Anticyclones in the Caribbean Sea'. This dataset contains all data used to obtain the Figures and Tables of this paper. Note that the data of the CS-nest contains 1 snapshot per day.
DOI: 10.5281/zenodo.4553831
title: Test cases (input) and test scripts (output)

description: Test cases (input) and test scripts (output) used in the paper "NLP-assisted Locator Generation for Web Testing" submitted to ESEC/FSE 2021
DOI: 10.5281/zenodo.4553850
title: Test cases (input) and test scripts (output)

description: Test cases (input) and test scripts (output) used in the paper "NLP-assisted Locator Generation for Web Testing" submitted to ESEC/FSE 2021
DOI: 10.5281/zenodo.4553855
title: Simluated and real data

description: This are all real and simulated data set for the paper Colocalization for Super-Resolution Microscopy via Optimal Transport by Tameling et al.
DOI: 10.5281/zenodo.4540624
title: Functional appliance treatment for mandibular fractures: a systematic review

description: Datasets for all analyses
DOI: 10.5281/zenodo.4553852
title: Test cases (input), test scripts (output), and source code

description: Test cases (input), test scripts (output), and source code used in the paper "NLP-assisted Locator Generation for Web Testing" submitted to ESEC/FSE 2021
DOI: 10.6084/m9.figshare.14069504
title: Development and Initial Validation of the Hardiness Based Parenting Behaviors Questionnaire (HBPBQ)

description: A 5-point scale ranging from “never=1” to “always=4” was offered for the answers. Items ph5, ph8, ph18, ph26,ph 28, ph35, and ph40 scored reversed. In the current data, the above items are reversed.
DOI: 10.5281/zenodo.4553869
title: Unveiling the Planet Population at Birth - MCMC Chains

description: Here we present the MCMC chains for the accompanying paper entitled "Unveiling the Planet Population at Birth". Three files are included associated with each model from the analysis.
DOI: 10.15161/oar.it/73537
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.5281/zenodo.4553874
title: jens-daniel-mueller/BloomSail: os-2020-120_presubmission

description: This is a test release before submission of manuscript os-2020-120, that refers to the content in this repository.
description: Data set, which is not available through Github, was included as zip file
DOI: 10.6084/m9.figshare.12442865.v4
title: Database for "Intermediate Aerosol Loading Enhances Photosynthetic Activity of Croplands"

description: Dataset of estimating the effects of aerosols on crop response at the site and regional level.
DOI: 10.6084/m9.figshare.12442865.v3
title: Database for "Intermediate Aerosol Loading Enhances Photosynthetic Activity of Croplands"

description: Dataset of estimating the effects of aerosols on crop response at the site and regional level.
DOI: 10.6084/m9.figshare.14069522
title: Origial data.rar

description: Original data.
DOI: 10.6084/m9.figshare.14069522.v1
title: Origial data.rar

description: Original data.
DOI: 10.5281/zenodo.1344132
title: GT4HistOCR: Ground Truth for training OCR engines on historical documents in German Fraktur and Early Modern Latin

description: <strong>GT4HistOCR</strong> contains ground truth for research in Optical Character Recognition (OCR) technology applied to historical printings in German Fraktur and Early Modern Latin. The ground truth comes in pairs of images of single printed lines as they appear in book pages (*.png) and their corresponding diplomatic transcriptions (*.gt.txt), which are UTF-8 strings preserving the character forms (glyphs) as much as possible within the UNICODE standard. These pairs of line images and their transcriptions can be directly used to train recognition models with, e.g., the open source OCR engines <em>OCRopy</em> or <em>Tesseract</em>. A total of 313,173 ground truth lines are provided. <strong>Please note that the subcorpora making up this collection used different transcription guidelines, so it is a bad idea to train a recognition model on the total collection! Rather train individual models for each subcorpus.</strong> Fur further information about the subcorpora, please see the README file and the accompanying publication. If these data are useful for you, please cite the accompanying publication: <pre>@article{springmann2018gt4hist, author = {Uwe Springmann and Christian Reul and Stefanie Dipper and Johannes Baiter}, title = {{Ground Truth for training {OCR} engines on historical documents in German Fraktur and Early Modern Latin}}, journal = {J. Lang. Technol. Comput. Linguistics}, volume = {33}, number = {1}, pages = {97--114}, year = {2018}, url = {https://jlcl.org/content/2-allissues/1-heft1-2018/jlcl_2018-1_5.pdf} }</pre>
DOI: 10.5281/zenodo.1344131
title: GT4HistOCR: Ground Truth for training OCR engines on historical documents in German Fraktur and Early Modern Latin

description: <strong>GT4HistOCR</strong> contains ground truth for research in Optical Character Recognition (OCR) technology applied to historical printings in German Fraktur and Early Modern Latin. The ground truth comes in pairs of images of single printed lines as they appear in book pages (*.png) and their corresponding diplomatic transcriptions (*.gt.txt), which are UTF-8 strings preserving the character forms (glyphs) as much as possible within the UNICODE standard. These pairs of line images and their transcriptions can be directly used to train recognition models with, e.g., the open source OCR engines <em>OCRopy</em> or <em>Tesseract</em>. A total of 313,173 ground truth lines are provided. <strong>Please note that the subcorpora making up this collection used different transcription guidelines, so it is a bad idea to train a recognition model on the total collection! Rather train individual models for each subcorpus.</strong> Fur further information about the subcorpora, please see the README file and the accompanying publication. If these data are useful for you, please cite the accompanying publication: <pre>@article{springmann2018gt4hist, author = {Uwe Springmann and Christian Reul and Stefanie Dipper and Johannes Baiter}, title = {{Ground Truth for training {OCR} engines on historical documents in German Fraktur and Early Modern Latin}}, journal = {J. Lang. Technol. Comput. Linguistics}, volume = {33}, number = {1}, pages = {97--114}, year = {2018}, url = {https://jlcl.org/content/2-allissues/1-heft1-2018/jlcl_2018-1_5.pdf} }</pre>
DOI: 10.25646/8047
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.5281/zenodo.4064835
title: Local fibre volume fraction in non-crimp glass-fibre reinforced composites based on scanning electron microscopy.

description: SEM data and segmentation of two non-crimp fabric cases used in the following two publications to where the references should be given. Sørensen, B.F., Goutianos, S., Mikkelsen, L.P., Fæster, S. (2021). Fatigue damage growth and fatigue life of unidirectional composites. Composites Science and Technology, (in press), https://doi.org/10.1016/j.compscitech.2021.108656 Mikkelsen, L.P., Fæster, S., Goutianos, S., Sørensen, B.F. Scanning electron microscopy datasets for local fibre volume fraction determination in non-crimp glass-fibre reinforced composites. <em>Data in Brief</em>, <strong>35</strong>, https://doi.org/10.1016/j.dib.2021.106868, 2021, 106868. Description of the data-files: For each of the two cases, five files are made available. Those two file-set contains: • Tif-file: The stitched SEM scanned image which is used in the fibre volume fraction analysis • Hdr-file: Meta-data about the stitched SEM scanned image • M-file: The Matlab script used for analysing the tif-file • Mat-file: Matlab mask data for a selection of the bundles used in the fibre volume fraction analysis <br>
DOI: 10.5281/zenodo.4064834
title: Local fibre volume fraction in non-crimp glass-fibre reinforced composites based on scanning electron microscopy.

description: SEM data and segmentation of two non-crimp fabric cases used in the following two publications to where the references should be given. Sørensen, B.F., Goutianos, S., Mikkelsen, L.P., Fæster, S. (2021). Fatigue damage growth and fatigue life of unidirectional composites. Composites Science and Technology, (in press), https://doi.org/10.1016/j.compscitech.2021.108656 Mikkelsen, L.P., Fæster, S., Goutianos, S., Sørensen, B.F. Scanning electron microscopy datasets for local fibre volume fraction determination in non-crimp glass-fibre reinforced composites. <em>Data in Brief</em>, <strong>35</strong>, https://doi.org/10.1016/j.dib.2021.106868, 2021, 106868. Description of the data-files: For each of the two cases, five files are made available. Those two file-set contains: • Tif-file: The stitched SEM scanned image which is used in the fibre volume fraction analysis • Hdr-file: Meta-data about the stitched SEM scanned image • M-file: The Matlab script used for analysing the tif-file • Mat-file: Matlab mask data for a selection of the bundles used in the fibre volume fraction analysis <br>
DOI: 10.5281/zenodo.4292082
title: EpiScanpy: integrated single-cell epigenomic analysis

description: All files below are in "h5ad" format, which can be opened by the Python package AnnData (see https://anndata.readthedocs.io/en/latest). The files are organized as: <br> 1. Single-nucleus methylcytosine sequencing (snmC-seq) of neurons from the frontal cortex of young adult mouse brains from Luo et al., 2017. The files are the preprocessed input for EpiScanpy for multiple CG imputed feature spaces, 100k base pair windows, enhancers, gene bodies, promoters and CH gene bodies.<br> - processed_enhancers_CG_luo_et_al_nov2020_paper_resubmission.h5ad<br> - processed_genebodies_CG_luo_et_al_nov2020_paper_resubmission.h5ad<br> - processed_genebodies_CH_luo_et_al_nov2020_paper_resubmission.h5ad<br> - processed_promoter_CG_luo_et_al_nov2020_paper_resubmission.h5ad<br> - processed_windows_CG_luo_et_al_nov2020_paper_resubmission.h5ad<br> 2. Single cell ATAC sequencing (scATAC-seq) from 10X Genomics, preprocessed peak count matrix of Next GEM v1.1 10k Peripheral blood mononuclear cells (PBMCs) from a healthy donor. Peak matrices of Next GEM v1.1 10k PBMCs and whole blood fresh data (GEO:GSE129785) from Satpathy et al. 2019 (Greenleaf's lab). Concatenated 5000bp matrix of Fresh cortex from adult mouse brain (P50) from 10X Genomics and CEMBA180312_3B mouse brain sample from Fang et al. 2019.<br> - atac_pbmc_10k_nextgem_fragments_macs2_peaks_outter_all_chrom.h5ad<br> - atac_pbmc_10k_nextgem_fragments_merged_peaks_for_integration_greenleaf_outter_all_chrom.h5ad<br> - raw_greenleaf_pre_integration_oct_2020.h5ad (Satpathy et al. 2019)<br> - preprocessed_10x_genomics_5k_adulte_mouse_brain_Fang_et_al_2019_CEMBA180312_3B_5kb_windows.h5ad
description: {"references": ["Datasets -Single Cell ATAC -Official 10x Genomics Support. https://support.10xgenomics.com/single-cell-atac/datasets."]}
DOI: 10.5281/zenodo.4292081
title: EpiScanpy: integrated single-cell epigenomic analysis

description: All files below are in "h5ad" format, which can be opened by the Python package AnnData (see https://anndata.readthedocs.io/en/latest). The files are organized as: <br> 1. Single-nucleus methylcytosine sequencing (snmC-seq) of neurons from the frontal cortex of young adult mouse brains from Luo et al., 2017. The files are the preprocessed input for EpiScanpy for multiple CG imputed feature spaces, 100k base pair windows, enhancers, gene bodies, promoters and CH gene bodies.<br> - processed_enhancers_CG_luo_et_al_nov2020_paper_resubmission.h5ad<br> - processed_genebodies_CG_luo_et_al_nov2020_paper_resubmission.h5ad<br> - processed_genebodies_CH_luo_et_al_nov2020_paper_resubmission.h5ad<br> - processed_promoter_CG_luo_et_al_nov2020_paper_resubmission.h5ad<br> - processed_windows_CG_luo_et_al_nov2020_paper_resubmission.h5ad<br> 2. Single cell ATAC sequencing (scATAC-seq) from 10X Genomics, preprocessed peak count matrix of Next GEM v1.1 10k Peripheral blood mononuclear cells (PBMCs) from a healthy donor. Peak matrices of Next GEM v1.1 10k PBMCs and whole blood fresh data (GEO:GSE129785) from Satpathy et al. 2019 (Greenleaf's lab). Concatenated 5000bp matrix of Fresh cortex from adult mouse brain (P50) from 10X Genomics and CEMBA180312_3B mouse brain sample from Fang et al. 2019.<br> - atac_pbmc_10k_nextgem_fragments_macs2_peaks_outter_all_chrom.h5ad<br> - atac_pbmc_10k_nextgem_fragments_merged_peaks_for_integration_greenleaf_outter_all_chrom.h5ad<br> - raw_greenleaf_pre_integration_oct_2020.h5ad (Satpathy et al. 2019)<br> - preprocessed_10x_genomics_5k_adulte_mouse_brain_Fang_et_al_2019_CEMBA180312_3B_5kb_windows.h5ad
description: {"references": ["Datasets -Single Cell ATAC -Official 10x Genomics Support. https://support.10xgenomics.com/single-cell-atac/datasets."]}
DOI: 10.5281/zenodo.4553954
title: TIE-GCM output

description: Model ouput
DOI: 10.5281/zenodo.4553953
title: TIE-GCM output

description: Model ouput
DOI: 10.5281/zenodo.4553903
title: Raw data for Wang et al., "Boosted molecular mobility during common chemical reactions," Science (2020) 369, 537-541.

description: This repository contains NMR raw data (main text figures, SI figures, SI tables) for Wang et al., "Boosted molecular mobility during common chemical reactions”, <em>Science </em><strong>2020,</strong> <em>537-541</em>. The files can be opened using Mestrenova software (Bruker).
DOI: 10.5281/zenodo.4553902
title: Raw data for Wang et al., "Boosted molecular mobility during common chemical reactions," Science (2020) 369, 537-541.

description: This repository contains NMR raw data (main text figures, SI figures, SI tables) for Wang et al., "Boosted molecular mobility during common chemical reactions”, <em>Science </em><strong>2020,</strong> <em>537-541</em>. The files can be opened using Mestrenova software (Bruker).
DOI: 10.5281/zenodo.4553974
title: Fitofaladoiro IES Castro da Uz. As Pontes de García Rodríguez (A Coruña)

description: Datos recollidos nos cursos 2017-2018 e 2018-2019
DOI: 10.5281/zenodo.4542430
title: Fitofaladoiro IES Castro da Uz. As Pontes de García Rodríguez (A Coruña)

description: Datos recollidos nos cursos 2017-2018 e 2018-2019
DOI: 10.5281/zenodo.4553992
title: PhD-Thesis Annex 8 - Results of first evaluation study

description: This is the documentation of the results of the first evaluation study.
DOI: 10.5281/zenodo.4553991
title: PhD-Thesis Annex 8 - Results of first evaluation study

description: This is the documentation of the results of the first evaluation study.