cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48420/24087873
title: Transmission Electron Microscopy data for fine-grained matrix in Bishunpur and Ngawi for PhD Thesis "Investigation of the water abundance and H-isotope composition of unequilibrated ordinary chondrites"

description: Transmission Electron Microscopy (TEM) data for fine-grained matrix in the unequilibrated ordrinary chondrites (UOCs) Bishunpur (LL3.15) and Ngawi (LL3.1-3.7). Included in the parent folder are:Amorphous EDS.xlsx - data file containing energy dispersive spectra (EDS) determined element compositions of regions of amorphous silicates, identified by TEM.EDS Data all.xlsx - data file containing element compositions of all the regions which underwent EDS collection.Plots - Folder containing (where available) interactive plots.Ngawi (folder)Bishunpur (folder)The Ngawi and Bishunpur folders contain the following sub-folders and documents:[NAME] Gatan files - Folder containing the raw .dm4 files which can be opened and analysed using the GATAN micrograph software[NAME] tiff files - Folder containing .tiff images of both annular bright-field (ABF) and annular dark-field (ADF) images.Data - Folder containing raw .dat files of elemental compositions, determined using X-ray maps and EDS.Processed data - Folder containing X-ray maps and numerical EDS data for different regions of the focused ion beam (FIB) sections.ABF [NAME].png - Compiled image of the whole FIB section in Annular Bright Field (ABF).ADF [NAME].xcf - Compiled image of the whole FIB section in Annular Dark Field (ADF).ADF [NAME].xcf - GIMP file of the individual ADF images combined to make the whole FIB section image, as well as aligned and overlaid X-ray maps onto the section.<br>
DOI: 10.48420/24087837
title: Secondary Ion Mass Spectrometry data for regions of matrix in UOCs

description: Secondary Ion Mass Spectrometry (SIMS) data for regions of matrix in unequilibrated ordinary chondrites (UOCs). Included in this folder is:20221010-raw-HDCSi.xls - data file containing all individual SIMS data points, including discarded. Each measurement is comprised of ~ 30 cycles, where individual cycle data can be found in the respective page with the same measurement number.20221010-HDCSi-process.xls - data file containing calibration calculations, as determined by standards.Standards (.ods and .xlsx) - data file containing information on standards used, including sources, mean measurements, and known measurements.SIMS-Data-Processed.xlsx - data file containing processed SIMS data of only valid measurements, including calibrated δD, C (wt%), H<sub>2</sub>O (wt%), and calculated D/H<sub>H2O</sub>Raw Data - folder containing ascii files of the raw measurement data for each data point.Positions - folder containing visible light images of the position for each data measurement, where the dark square at the centre of the image is the position of the measurement.Plots - Folder containing (where available) interactive plots.<br>
DOI: 10.48420/24087837.v1
title: Secondary Ion Mass Spectrometry data for regions of matrix in UOCs

description: Secondary Ion Mass Spectrometry (SIMS) data for regions of matrix in unequilibrated ordinary chondrites (UOCs). Included in this folder is:20221010-raw-HDCSi.xls - data file containing all individual SIMS data points, including discarded. Each measurement is comprised of ~ 30 cycles, where individual cycle data can be found in the respective page with the same measurement number.20221010-HDCSi-process.xls - data file containing calibration calculations, as determined by standards.Standards (.ods and .xlsx) - data file containing information on standards used, including sources, mean measurements, and known measurements.SIMS-Data-Processed.xlsx - data file containing processed SIMS data of only valid measurements, including calibrated δD, C (wt%), H<sub>2</sub>O (wt%), and calculated D/H<sub>H2O</sub>Raw Data - folder containing ascii files of the raw measurement data for each data point.Positions - folder containing visible light images of the position for each data measurement, where the dark square at the centre of the image is the position of the measurement.Plots - Folder containing (where available) interactive plots.<br>
DOI: 10.5281/zenodo.10557245
title: Repositorios y Universidades Chilenas 2023

description: The dataset encompasses a variety of key attributes and indicators relevant to academic repositories in 18 Chilean universities which were awarded in the Innovación en Educación Superior (InES) Ciencia Abierta calls of 2021 and 2022. These universities have declared having various types of repositories (Data, Publications, Thesis, among others) as of December 1, 2023. The collected data include detailed attributes such as University Name, Validity of Repository, Repository URL, Additional URLs, Repository Type, Source Information Type, Repository Software, Source Information Software, Availability of Documentation, Documentation URLs, and Documentation in PDF format. Additionally, the dataset incorporates Metadata Standards like Dublin Core, Datacite, OpenAire, Local Metadata, Local Metadata Detail, and notably, Gender Metadata.
description: El conjunto de datos abarca una variedad de atributos e indicadores clave, relevantes para los repositorios académicos de 18 universidades chilenas que fueron premiadas en las convocatorias Innovación en Educación Superior (InES) de Ciencia Abierta de 2021 y 2022. Estas universidades han declarado tener varios tipos de repositorios (Datos, Publicaciones, Tesis, entre otros) al 1 de diciembre de 2023. Los datos recopilados incluyen atributos detallados como Nombre de la Universidad, Validez del Repositorio, URL del Repositorio, URL Adicionales, Tipo de Repositorio, Tipo de Información Fuente, Software del Repositorio, Software de Información Fuente, Disponibilidad de documentación, URL de documentación y documentación en formato PDF. Además, el conjunto de datos incorpora estándares de metadatos como Dublin Core, Datacite, OpenAire, metadatos locales, detalle de metadatos locales y, en particular, metadatos de género.
DOI: 10.6084/m9.figshare.25033706.v1
title: Comparison of Sequencing Methods for <i>De Novo </i>Plasmid Assembly - Data

description: The raw data and generated assemblies from Illumina MiSeq, Oxford Nanopore MinION, and Sanger Sequencing.
DOI: 10.5281/zenodo.8250739
title: Data from CARLA max-car experiments

description: Data from CARLA max-car experiments. See the repository for more information.
DOI: 10.5281/zenodo.8250740
title: Data from CARLA max-car experiments

description: Data from CARLA max-car experiments. See the repository for more information.
DOI: 10.5281/zenodo.8250640
title: Data from CARLA zero-car experiments

description: Data from CARLA zero-car experiments. See the repository for more information.
DOI: 10.5281/zenodo.8250641
title: Data from CARLA zero-car experiments

description: Data from CARLA zero-car experiments. See the repository for more information.
DOI: 10.5281/zenodo.8271428
title: Data from CARLA zero-car experiments

description: Data from CARLA zero-car experiments. See the repository for more information.
DOI: 10.5281/zenodo.6677556
title: D2.2 Open data concerning social inclusion provided on the project homepage - Emerging findings

description: Authors to the case posters and contributors from consortium partners are described in the deliverable. 


The H2020 YouCount project runs from February 2021 to January 2024 and the consortium consists of 11 partners from nine European countries. Multiple case studies—consisting of 10 co-creative Y-CSS projects with young citizen scientists (YCS) aged between about 13-29 years old across nine countries in Europe—will provide knowledge about the positive drivers of social inclusion in general. The cases will further produce knowledge as well as innovations in relation to social participation, social belonging, and citizenship.


In line with YouCount’s commitment to Open Science and Data Management based on the FAIR Principles, D2.2 provides a sample of open data concerning social inclusion from the research and innovation activities during the implementation period. The open data is based on informed consent and includes the following files included in the report:


1.      File 1 Homepage 30-06-22, Case descriptions.


2.      File 2 Case posters 08-06-2022, Experiences with inclusive co-creative Y-CSS in multiple case study.       


3.      File 3 Narrative text 26-06-22, Experiences with developing the YouCount app toolkit, methodology.


4.      File 4 Quotes 25-06-22, Views and experiences with social inclusion of youths, YouCount/ECSA WG EIE webinars 2021 and             YouCount newsletters 2022.


5.      File 5 Links to YouCount app toolkit, 28-06-22, Youths’ views and experiences with social inclusion opportunities, observations.


Notably, the open data are based on a co-creative and flexible research design and comes in an early phase of the case studies. They can thus only be used as emerging data and preliminary findings. Still, the data contain valuable information of the research experiences and voices from young people found in the early phase of conducting hands on co-creative Y-CSS. More systematic open social inclusion data will be provided later in the project.   


The open data can also be found at the project website Home - YouCount - Social Citizen Science (youcountproject.eu).


Note! They are shared under CC-BY (text) and CC-BY-ND (images case posters) due to confidentiality issues.
DOI: 10.5281/zenodo.6677557
title: D2.2 Open data concerning social inclusion provided on the project homepage - Emerging findings

description: Authors to the case posters and contributors from consortium partners are described in the deliverable. 


The H2020 YouCount project runs from February 2021 to January 2024 and the consortium consists of 11 partners from nine European countries. Multiple case studies—consisting of 10 co-creative Y-CSS projects with young citizen scientists (YCS) aged between about 13-29 years old across nine countries in Europe—will provide knowledge about the positive drivers of social inclusion in general. The cases will further produce knowledge as well as innovations in relation to social participation, social belonging, and citizenship.


In line with YouCount’s commitment to Open Science and Data Management based on the FAIR Principles, D2.2 provides a sample of open data concerning social inclusion from the research and innovation activities during the implementation period. The open data is based on informed consent and includes the following files included in the report:


1.      File 1 Homepage 30-06-22, Case descriptions.


2.      File 2 Case posters 08-06-2022, Experiences with inclusive co-creative Y-CSS in multiple case study.       


3.      File 3 Narrative text 26-06-22, Experiences with developing the YouCount app toolkit, methodology.


4.      File 4 Quotes 25-06-22, Views and experiences with social inclusion of youths, YouCount/ECSA WG EIE webinars 2021 and             YouCount newsletters 2022.


5.      File 5 Links to YouCount app toolkit, 28-06-22, Youths’ views and experiences with social inclusion opportunities, observations.


Notably, the open data are based on a co-creative and flexible research design and comes in an early phase of the case studies. They can thus only be used as emerging data and preliminary findings. Still, the data contain valuable information of the research experiences and voices from young people found in the early phase of conducting hands on co-creative Y-CSS. More systematic open social inclusion data will be provided later in the project.   


The open data can also be found at the project website Home - YouCount - Social Citizen Science (youcountproject.eu).


Note! They are shared under CC-BY (text) and CC-BY-ND (images case posters) due to confidentiality issues.
DOI: 10.6084/m9.figshare.19152638.v1
title: Evaluation of Genetic Diversity in Three <i>Diospyros</i> Species, Collected from Different Regions in Iran, Using ISSR and SCoT Molecular Markers

description: The <i>Diospyros</i> genus contains approximately 400 to 500 species, among which <i>D. kaki</i> is cultivated as the edible persimmon. Knowledge about the genetic diversity of <i>Diospyros</i> genotypes is of high significance for breeding programs. In this research, the genetic diversity of 57 <i>Diospyros</i> genotypes collected from different regions of Iran was evaluated using inter simple sequence repeats (ISSR) and start codon targeted (SCoT) markers. Seven ISSR and 10 SCoT markers produced a total of 42 and 75 fragments with the averages of 6 and 7.5 fragments per primer, respectively. The average polymorphism information content (PIC) for ISSR markers was 0.3 and for SCoT markers was 0.36. The average marker index (MI) for ISSR and SCoT markers were 1.81 and 1.79, respectively. Cluster analysis based on Jaccard’s genetic similarity coefficient and UPGMA method classified 57 <i>Diospyros</i> genotypes into four main groups based on ISSR and SCoT markers. However, the clustering pattern based on the combination of ISSR and SCoT markers data separated the species genotypes better than each marker alone. Accordingly, groups 1 and 2 contained all <i>D. kaki</i> genotypes, both encompassing various subgroups, group 3 included <i>D. lotus</i> and group 4 included <i>D. virginiana</i> genotypes. Genotype distribution visualized with principal coordinate analysis (PCoA) was in accordance with the cluster analysis. Based on our results Iran is a rich source of <i>Diospyrus</i> germplasm, and a combination of ISSR and SCoT markers can be used as an accurate technique for evaluating genetic diversity among the <i>Diospyros</i> genotypes.
DOI: 10.6084/m9.figshare.19152638
title: Evaluation of Genetic Diversity in Three <i>Diospyros</i> Species, Collected from Different Regions in Iran, Using ISSR and SCoT Molecular Markers

description: The <i>Diospyros</i> genus contains approximately 400 to 500 species, among which <i>D. kaki</i> is cultivated as the edible persimmon. Knowledge about the genetic diversity of <i>Diospyros</i> genotypes is of high significance for breeding programs. In this research, the genetic diversity of 57 <i>Diospyros</i> genotypes collected from different regions of Iran was evaluated using inter simple sequence repeats (ISSR) and start codon targeted (SCoT) markers. Seven ISSR and 10 SCoT markers produced a total of 42 and 75 fragments with the averages of 6 and 7.5 fragments per primer, respectively. The average polymorphism information content (PIC) for ISSR markers was 0.3 and for SCoT markers was 0.36. The average marker index (MI) for ISSR and SCoT markers were 1.81 and 1.79, respectively. Cluster analysis based on Jaccard’s genetic similarity coefficient and UPGMA method classified 57 <i>Diospyros</i> genotypes into four main groups based on ISSR and SCoT markers. However, the clustering pattern based on the combination of ISSR and SCoT markers data separated the species genotypes better than each marker alone. Accordingly, groups 1 and 2 contained all <i>D. kaki</i> genotypes, both encompassing various subgroups, group 3 included <i>D. lotus</i> and group 4 included <i>D. virginiana</i> genotypes. Genotype distribution visualized with principal coordinate analysis (PCoA) was in accordance with the cluster analysis. Based on our results Iran is a rich source of <i>Diospyrus</i> germplasm, and a combination of ISSR and SCoT markers can be used as an accurate technique for evaluating genetic diversity among the <i>Diospyros</i> genotypes.
DOI: 10.6084/m9.figshare.19208311.v1
title: Characterization of Grapevine Genetic Resources in the Comunitat Valenciana (Spain)

description: Grapevine cultivation is of historic importance arround the Mediterranean basin. The Spanish Levant is an area of notable grapevine diversity, where ancient varieties destined for producing wine, table grapes and raisins can still be found. For some of these neglected varieties, however, no complete description has ever been made; current legislation does not, therefore, allow their commercial use. The botanical characterization of old varieties is an important step toward their identification and can also help to clarify synonymies and homonymies, problems very commonly encountered with this crop. The present work provides ampelographic descriptions of seven genotypes for which microsatellite marker profiles were already available, and discusses the possible origins of their names, as well as instances of synonymy and homonymy. Seven accessions of ancient grapevine genotypes from the Spanish Levant were subjected to in situ ampelographic analysis following official methods. The characteristics of their leaves, bunches and berries were recorded. The ampelographic descriptions made in the present work provide insight into the history of cultivation of the examined genotypes and would pave the way for their inclusion in the Spanish national catalog, which would allow their commercial use. The information gathered on the possible origin of these genotypes’ names, and instances of synonymy and homonymy, enriches our knowledge of this recovered germplasm. The present results contribute toward our understanding of Europe’s grapevine genetic diversity, and highlight the need to conserve it.
DOI: 10.6084/m9.figshare.19208311
title: Characterization of Grapevine Genetic Resources in the Comunitat Valenciana (Spain)

description: Grapevine cultivation is of historic importance arround the Mediterranean basin. The Spanish Levant is an area of notable grapevine diversity, where ancient varieties destined for producing wine, table grapes and raisins can still be found. For some of these neglected varieties, however, no complete description has ever been made; current legislation does not, therefore, allow their commercial use. The botanical characterization of old varieties is an important step toward their identification and can also help to clarify synonymies and homonymies, problems very commonly encountered with this crop. The present work provides ampelographic descriptions of seven genotypes for which microsatellite marker profiles were already available, and discusses the possible origins of their names, as well as instances of synonymy and homonymy. Seven accessions of ancient grapevine genotypes from the Spanish Levant were subjected to in situ ampelographic analysis following official methods. The characteristics of their leaves, bunches and berries were recorded. The ampelographic descriptions made in the present work provide insight into the history of cultivation of the examined genotypes and would pave the way for their inclusion in the Spanish national catalog, which would allow their commercial use. The information gathered on the possible origin of these genotypes’ names, and instances of synonymy and homonymy, enriches our knowledge of this recovered germplasm. The present results contribute toward our understanding of Europe’s grapevine genetic diversity, and highlight the need to conserve it.
DOI: 10.5517/ccdc.csd.cc24zxtw
title: CCDC 1995929: Experimental Crystal Structure Determination

description: Related Article: Dimitra K. Gioftsidou, Michael G. Kallitsakis, Konstantina Kavaratzi, Antonios G. Hatzidimitriou, Michael A. Terzidis, Ioannis N. Lykakis, Panagiotis A. Angaridis|2024|Dalton Trans.|53|1469|doi:10.1039/D3DT02923A
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.cc24zxwy
title: CCDC 1995931: Experimental Crystal Structure Determination

description: Related Article: Dimitra K. Gioftsidou, Michael G. Kallitsakis, Konstantina Kavaratzi, Antonios G. Hatzidimitriou, Michael A. Terzidis, Ioannis N. Lykakis, Panagiotis A. Angaridis|2024|Dalton Trans.|53|1469|doi:10.1039/D3DT02923A
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.cc24zxz1
title: CCDC 1995934: Experimental Crystal Structure Determination

description: Related Article: Dimitra K. Gioftsidou, Michael G. Kallitsakis, Konstantina Kavaratzi, Antonios G. Hatzidimitriou, Michael A. Terzidis, Ioannis N. Lykakis, Panagiotis A. Angaridis|2024|Dalton Trans.|53|1469|doi:10.1039/D3DT02923A
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.cc1p65z1
title: CCDC 1555083: Experimental Crystal Structure Determination

description: Related Article: Khaled Soussi, Erwann Jeanneau, Pascale Maldivi, Martin Clémancey, Jean-Marc Latour, Lhoussain Khrouz, Chantal Lorentz, Stéphane Daniele, Shashank Mishra|2024|Dalton Trans.|53|1439|doi:10.1039/D3DT03132B
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.cc1p6603
title: CCDC 1555084: Experimental Crystal Structure Determination

description: Related Article: Khaled Soussi, Erwann Jeanneau, Pascale Maldivi, Martin Clémancey, Jean-Marc Latour, Lhoussain Khrouz, Chantal Lorentz, Stéphane Daniele, Shashank Mishra|2024|Dalton Trans.|53|1439|doi:10.1039/D3DT03132B
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.cc2d1n8d
title: CCDC 2206123: Experimental Crystal Structure Determination

description: Related Article: Daniel Lundberg, Patric Lindqvist-Reis, Krzysztof Łyczko, Lars Eriksson, Ingmar Persson|2024|Dalton Trans.|53|1817|doi:10.1039/D3DT03193D
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.cc2d1nfk
title: CCDC 2206128: Experimental Crystal Structure Determination

description: Related Article: Daniel Lundberg, Patric Lindqvist-Reis, Krzysztof Łyczko, Lars Eriksson, Ingmar Persson|2024|Dalton Trans.|53|1817|doi:10.1039/D3DT03193D
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.