cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4785135
title: Scenario data for article: Environmental impacts of key metals' supply and low-carbon technologies are likely to decrease in the future

description: This dataset contains the background scenarios for metal supply used for the publication "Environmental impacts of key metals' supply and low-carbon technologies are likely to decrease in the future" in the Journal of Industrial Ecology (2021). <br> The background scenarios are suitable for the life cycle inventory database of ecoinvent version 3.5 (allocation, cut-off by classification). They can be imported either via the brightway-based module of presamples or using the activity browser and its scenario-based calculation set-up. These background scenarios comprise five variables for the metals of copper, nickel, zinc, and lead for the time period of 2010-2050. These variables are:<br> V1: ore grade decline and energy requirements V2: market shares of primary production locations V3: energy efficiency improvements during smelting and refining V4: market shares of primary production routes V5: market shares of primary and secondary production.<br> <br> The associated article in the Journal of Industrial Ecology describes the modelling assumptions and data sources of the scenarios. It also conducts impact assessments for future metal supply and low-carbon technologies. This zenodo dataset provides the scenario data for import into presamples, which can be used for any other prospective LCA based on ecoinvent 3.5. Before importing the dataset, please adjust the "database" field to the name of your database, such as "ecoinvent3.5". <strong>License: </strong>The metal supply scenario data is licensed under the CC-BY 4.0 license. <strong>Access: </strong>This will become open access once the associated paper has been published in the <em>Journal of Industrial Ecology. </em>
DOI: 10.17903/fk2/docagz
title: Η συμβολή του δημοτικού σχολείου στην κοινωνική ένταξη μεταναστών/προσφύγων παιδικής ηλικίας

description: Ο σκοπός της παρούσας διπλωματικής εργασίας είναι να αποτυπώσει τις απόψεις εκπαιδευτικών πρωτοβάθμιας εκπαίδευσης σχετικά με την κοινωνική ένταξη παιδιών μεταναστών και προσφύγων, ηλικίας δημοτικού σχολείου, που έχουν έρθει στην Ελλάδα από το τέλος τους 2014 έως σήμερα. Συγκεκριμένα θα διερευνηθεί η συμβολή του δημοτικού σχολείου στην επίτευξη της κοινωνική ένταξη μέσω της λειτουργίας των τάξεων ΖΕΠ (Ζώνες Εκπαιδευτικής Προτεραιότητας) και ΔΥΕΠ (Δομές Υποδοχής και Εκπαίδευσης Προσφύγων). Πρόκειται για μία εμπειρική έρευνα, η οποία αναλύει τα τεκμήρια (συνεντεύξεις) που έχουν συλλεχθεί με τη μέθοδο της θεματικής ανάλυσης περιεχομένου. Στο τέλος γίνεται συζήτηση για τα αποτελέσματα που προκύπτουν και καταγράφονται τα γενικά συμπεράσματα.
DOI: 10.5517/ccdc.csd.cc25grgw
title: CCDC 2010178: Experimental Crystal Structure Determination

description: Related Article: Artyom V. Novikov, Andrey N. Usoltsev, Sergey A. Adonin, Andrey A. Bardin, Pavel A. Abramov, Maxim N. Sokolov, Keith J. Stevenson, Sergey M. Aldoshin, Vladimir P. Fedin, and Pavel A. Troshin|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc29f3gb
title: CCDC 2127761: Experimental Crystal Structure Determination

description: Related Article: Estelle Messe, Pascal Retailleau, Stéphanie Norsikian-Roland|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bgjzb
title: CCDC 2158932: Experimental Crystal Structure Determination

description: Related Article: Adelina Reichert, Michael Bolte, Matthias Wagner|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bgk0d
title: CCDC 2158933: Experimental Crystal Structure Determination

description: Related Article: Adelina Reichert, Michael Bolte, Matthias Wagner|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bgk1f
title: CCDC 2158934: Experimental Crystal Structure Determination

description: Related Article: Adelina Reichert, Michael Bolte, Matthias Wagner|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bgk2g
title: CCDC 2158935: Experimental Crystal Structure Determination

description: Related Article: Adelina Reichert, Michael Bolte, Matthias Wagner|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bgk3h
title: CCDC 2158936: Experimental Crystal Structure Determination

description: Related Article: Adelina Reichert, Michael Bolte, Matthias Wagner|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bgk4j
title: CCDC 2158937: Experimental Crystal Structure Determination

description: Related Article: Adelina Reichert, Michael Bolte, Matthias Wagner|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bgk5k
title: CCDC 2158938: Experimental Crystal Structure Determination

description: Related Article: Adelina Reichert, Michael Bolte, Matthias Wagner|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bgk6l
title: CCDC 2158939: Experimental Crystal Structure Determination

description: Related Article: Adelina Reichert, Michael Bolte, Matthias Wagner|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bgk7m
title: CCDC 2158940: Experimental Crystal Structure Determination

description: Related Article: Adelina Reichert, Michael Bolte, Matthias Wagner|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bgkky
title: CCDC 2158950: Experimental Crystal Structure Determination

description: Related Article: Iris Lovric, Michael Bolte, Matthias Wagner|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bgklz
title: CCDC 2158951: Experimental Crystal Structure Determination

description: Related Article: Iris Lovric, Michael Bolte, Matthias Wagner|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bgkm0
title: CCDC 2158952: Experimental Crystal Structure Determination

description: Related Article: Iris Lovric, Michael Bolte, Matthias Wagner|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bgkn1
title: CCDC 2158953: Experimental Crystal Structure Determination

description: Related Article: Iris Lovric, Michael Bolte, Matthias Wagner|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bgkv7
title: CCDC 2158959: Experimental Crystal Structure Determination

description: Related Article: Estera Januszewski, Michael Bolte, Matthias Wagner|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bgkw8
title: CCDC 2158960: Experimental Crystal Structure Determination

description: Related Article: Estera Januszewski, Michael Bolte, Matthias Wagner|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bgkx9
title: CCDC 2158961: Experimental Crystal Structure Determination

description: Related Article: Estera Januszewski, Michael Bolte, Matthias Wagner|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bgkyb
title: CCDC 2158962: Experimental Crystal Structure Determination

description: Related Article: Estera Januszewski, Michael Bolte, Matthias Wagner|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bgkzc
title: CCDC 2158963: Experimental Crystal Structure Determination

description: Related Article: Estera Januszewski, Michael Bolte, Matthias Wagner|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bgl0f
title: CCDC 2158964: Experimental Crystal Structure Determination

description: Related Article: Estera Januszewski, Michael Bolte, Matthias Wagner|2022|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2bgl2h
title: CCDC 2158966: Experimental Crystal Structure Determination

description: Related Article: Stefan Riedmüller, Michael Bolte, Matthias Wagner|2022|CSD Communication|||
DOI: 10.6084/m9.figshare.19519354
title: data.xlsx

description: 对比中国常见的旅游网站和社交媒体，去哪儿网（www.qunar.com）、携程网（www.ctrip.com）和马蜂窝（www. .mafengwo.cn）被选为数字足迹数据源。2015年1月1日至2018年12月31日，我们使用章鱼采集器（www.bazhuayu.com）在旅游网站上采集旅游日记。
DOI: 10.5281/zenodo.5909709
title: Earthquake relocated catalog - Western Corinth Gulf - 2020-12-20 2021-02-28

description: Relocated catalog in growclust format (Trugman & Shearer, 2017). The content of this material is described in Zahradník et al. 2022. References : Trugman, D. T., & Shearer, P. M. (2017). GrowClust: A hierarchical clustering algorithm for relative earthquake relocation, with application to the Spanish Springs and Sheldon, Nevada, earthquake sequences. <em>Seismological Research Letters</em>, <em>88</em>(2A), 379-391.
DOI: 10.5281/zenodo.5909708
title: Earthquake relocated catalog - Western Corinth Gulf - 2020-12-20 2021-02-28

description: Relocated catalog in growclust format (Trugman & Shearer, 2017). The content of this material is described in Zahradník et al. 2022. References : Trugman, D. T., & Shearer, P. M. (2017). GrowClust: A hierarchical clustering algorithm for relative earthquake relocation, with application to the Spanish Springs and Sheldon, Nevada, earthquake sequences. <em>Seismological Research Letters</em>, <em>88</em>(2A), 379-391.
DOI: 10.5281/zenodo.6412071
title: Effect of Sediment Form and Form Distribution on Porosity

description: Data to accompany the journal article "Effect of Sediment Form and Form Distribution on Porosity: A Simulation Study Based on the Discrete Element Method" by Rettinger et al. (2022). The data set contains simulation input and results obtained by the particle packing studies using the discrete element method, as described in the article. The folder `surface_meshes` features 63 processed scans of gravel sediments from the Rhine river in Germany. The original scans have been converted to a convex surface mesh, and then simplified to feature at most 300 surface triangles. Additionally, they were oriented along their principle axes of inertia and scaled such that their size, according to the applied definition, is 1. The folder `single_form` contains the simulation results of the single shape/form studies, where all particles featured a single shape, given by one of the meshes. Three different size distributions have been used: U1 is a unimodal one with a single size class, U7 is also unimodal but with seven size classes, B50 is a bimodal one with approximately half fine and half coarse particles. Each corresponding csv file contains the obtained porosity (`porosity`) of the actual packing and of the packing using equivalent ellipsoids (`porosityEquivEllip`). Furthermore, the considered form factors according to their respective definition, as well as their inverse (`invX`), are given. See the article for the definition and the meaning of the abbreviation. The folder `form_distribution` contains the simulation results of the form distribution study, where the particle form was prescribed by flatness and elongation which were sampled from truncated normal distributions. Again two different size distributions have been used: U1 and U7. Each corresponding csv file contains the obtained porosity (`porosity`) and statistical information about the form factors, given as number-based mean (`mean`) and standard deviation (`std`). In addition to the inverse of each form factor (`invX`), the inverse of each statistical quantity has been evaluated (`1/(X)`) and is contained as column.
description: The authors gratefully acknowledge the support through the German Research Foundation (DFG) grant FR 3509/4-2.
DOI: 10.5281/zenodo.6412070
title: Effect of Sediment Form and Form Distribution on Porosity

description: Data to accompany the journal article "Effect of Sediment Form and Form Distribution on Porosity: A Simulation Study Based on the Discrete Element Method" by Rettinger et al. (2022). The data set contains simulation input and results obtained by the particle packing studies using the discrete element method, as described in the article. The folder `surface_meshes` features 63 processed scans of gravel sediments from the Rhine river in Germany. The original scans have been converted to a convex surface mesh, and then simplified to feature at most 300 surface triangles. Additionally, they were oriented along their principle axes of inertia and scaled such that their size, according to the applied definition, is 1. The folder `single_form` contains the simulation results of the single shape/form studies, where all particles featured a single shape, given by one of the meshes. Three different size distributions have been used: U1 is a unimodal one with a single size class, U7 is also unimodal but with seven size classes, B50 is a bimodal one with approximately half fine and half coarse particles. Each corresponding csv file contains the obtained porosity (`porosity`) of the actual packing and of the packing using equivalent ellipsoids (`porosityEquivEllip`). Furthermore, the considered form factors according to their respective definition, as well as their inverse (`invX`), are given. See the article for the definition and the meaning of the abbreviation. The folder `form_distribution` contains the simulation results of the form distribution study, where the particle form was prescribed by flatness and elongation which were sampled from truncated normal distributions. Again two different size distributions have been used: U1 and U7. Each corresponding csv file contains the obtained porosity (`porosity`) and statistical information about the form factors, given as number-based mean (`mean`) and standard deviation (`std`). In addition to the inverse of each form factor (`invX`), the inverse of each statistical quantity has been evaluated (`1/(X)`) and is contained as column.
description: The authors gratefully acknowledge the support through the German Research Foundation (DFG) grant FR 3509/4-2.
DOI: 10.17903/fk2/v7awkk
title: The contribution of the primary school to the social inclusion of immigrant / refugee children

description: The purpose of this bachelor's thesis is to present the perspective of primary school teachers on the social integration of immigrant and refugee children, (at the age of 5-12) who immigrated to Greece at the end of 2014 until today. Specifically, the contribution of the primary school in achieving social integration through the operation of the ΖΕΠ (Educational Priority Zone) and ΔΥΕΠ (Refugee Reception and Education Structures) classes will be investigated. This is an empirical research, which analyzes the evidence (interviews) that have been collected by the method of thematic content analysis. At the end there is a discussion about the emerging results and the general conclusions are recorded.
DOI: 10.34740/kaggle/dsv/3411531
title: COVID Vaccination in World (updated daily)
DOI: 10.17903/fk2/bickxi
title: Ενημερωτικά Δελτία Τύπου της Γενικής Γραμματείας Πολιτικής Προστασίας για το νέο κορονοϊό

description: Πρόκειται για συλλογή Ενημερωτικών Δελτίων Τύπου της Γενικής Γραμματείας Πολιτικής Προστασίας για το νέο κορονοϊό. Το χρονικό διάστημα που καλύπτει η συλλογή είναι από 12.03.2020 έως 04.05.2020. Η συγκεκριμένη συλλογή έχει αποτελέσει τη βάση Κριτικής Ανάλυσης Λόγου (βλ. σχετική δημοσίευση) και δύναται να συμβάλλει στην υλοποίηση περαιτέρω σχεδίων έρευνας μέσω εφαρμογών δευτερογενούς ανάλυσης κειμένων.
DOI: 10.15156/bio/sh1615487.08fu
title: SH1615487.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1615488.08fu
title: SH1615488.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1615489.08fu
title: SH1615489.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1615490.08fu
title: SH1615490.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1615491.08fu
title: SH1615491.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1615492.08fu
title: SH1615492.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.25549/one-c4-52772
title: Documents
DOI: 10.15156/bio/sh1615493.08fu
title: SH1615493.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1615494.08fu
title: SH1615494.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.