cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5287/bodleian:w4zxpp88e
title: SiNx and AlOx Nanolayers in Hole Selective Passivating Contacts for High Efficiency Silicon Solar Cells
DOI: 10.6084/m9.figshare.22110488
title: vGLUT2 and RGS14

description: vGLUT2 immunolabeling in CA2 and corpus callosum of Shank3B KO and WT mice. CA2 is labeled with RGS14
DOI: 10.6084/m9.figshare.22110488.v1
title: vGLUT2 and RGS14

description: vGLUT2 immunolabeling in CA2 and corpus callosum of Shank3B KO and WT mice. CA2 is labeled with RGS14
DOI: 10.5281/zenodo.7327628
title: Data set for the journal article: The Spatial Distribution of Cobalt Phthalocyanine and Copper Nanocubes Controls the Selectivity towards C2 Products in Tandem Electrocatalytic CO2 Reduction

description: Data set for the journal article: The coupling of CO-generating molecular catalysts with copper electrodes in tandem schemes is a promising strategy to boost the formation of multi-carbon products in the electrocatalytic reduction of CO<sub>2</sub>. While the spatial distribution of the two components is important, this aspect remains underexplored, especially for molecular-based tandem systems. Herein, we address this knowledge gap by studying tandem catalysts comprising Co-phthalocyanine (CoPc) and Cu nanocubes (Cu<sub>cub</sub>). In particular, we identify the importance of the relative spatial distributions of the two components on the performance of the tandem catalyst by preparing CoPc-Cu<sub>cub</sub>/C, wherein the CoPc and Cu<sub>cub</sub> share an interface, and CoPc-C/Cu<sub>cub</sub>, wherein the CoPc is loaded first on carbon black (C) before mixing with the Cu<sub>cub</sub>. The electrocatalytic measurements of these two catalysts show that the faradaic efficiency towards C<sub>2 </sub>products almost doubles for the CoPc-Cu<sub>cub</sub>/C, whereas it decreases by half for the CoPc-C/Cu<sub>cub</sub>, compared to the Cu<sub>cub</sub>/C. Our results highlight the importance of a direct contact between the CO-generating molecular catalyst and the Cu to promote C-C coupling, which hints at a surface transport mechanism of the CO intermediate between the two components of the tandem catalyst instead of a transfer via CO diffusion in the electrolyte followed by re-adsorption.
DOI: 10.5281/zenodo.7327627
title: Data set for the journal article: The Spatial Distribution of Cobalt Phthalocyanine and Copper Nanocubes Controls the Selectivity towards C2 Products in Tandem Electrocatalytic CO2 Reduction

description: Data set for the journal article: The coupling of CO-generating molecular catalysts with copper electrodes in tandem schemes is a promising strategy to boost the formation of multi-carbon products in the electrocatalytic reduction of CO<sub>2</sub>. While the spatial distribution of the two components is important, this aspect remains underexplored, especially for molecular-based tandem systems. Herein, we address this knowledge gap by studying tandem catalysts comprising Co-phthalocyanine (CoPc) and Cu nanocubes (Cu<sub>cub</sub>). In particular, we identify the importance of the relative spatial distributions of the two components on the performance of the tandem catalyst by preparing CoPc-Cu<sub>cub</sub>/C, wherein the CoPc and Cu<sub>cub</sub> share an interface, and CoPc-C/Cu<sub>cub</sub>, wherein the CoPc is loaded first on carbon black (C) before mixing with the Cu<sub>cub</sub>. The electrocatalytic measurements of these two catalysts show that the faradaic efficiency towards C<sub>2 </sub>products almost doubles for the CoPc-Cu<sub>cub</sub>/C, whereas it decreases by half for the CoPc-C/Cu<sub>cub</sub>, compared to the Cu<sub>cub</sub>/C. Our results highlight the importance of a direct contact between the CO-generating molecular catalyst and the Cu to promote C-C coupling, which hints at a surface transport mechanism of the CO intermediate between the two components of the tandem catalyst instead of a transfer via CO diffusion in the electrolyte followed by re-adsorption.
DOI: 10.5281/zenodo.3886532
title: PyPSA-Eur: An Open Optimisation Model of the European Transmission System (Dataset)

description: <strong>PyPSA-Eur</strong> is an open model dataset of the European power system at the transmission network level that covers the full ENTSO-E area. The software pipeline to assemble the model is developed at https://github.com/PyPSA/PyPSA-eur and documentation is available at pypsa-eur.readthedocs.io. <strong>This repository provides pre-built PyPSA networks resulting from corresponding PyPSA-Eur Releases using the default configuration!</strong> The model alternating current lines at and above 220 kV voltage level and all high voltage direct current lines, substations, an open database of conventional power plants, time series for electrical demand and variable renewable generator availability, and geographic potentials for the expansion of wind and solar power. It only includes freely available and open data. It provides a fully automated free software pipeline to assemble the load-flow-ready model from the original datasets, which enables easy configuration, replacement and<br> improvement of the individual parts. The model is suitable both for operational studies and generation and transmission expansion planning studies. Some basic validation is provided in a paper describing the dataset: Jonas Hörsch, Fabian Hofmann, David Schlachtberger, and Tom Brown. PyPSA-Eur: An open optimisation model of the European transmission system. Energy Strategy Reviews, 22:207-215, 2018. https://arxiv.org/abs/1806.01613, https://doi.org/10.1016/j.esr.2018.08.012.
DOI: 10.5281/zenodo.3601881
title: PyPSA-Eur: An Open Optimisation Model of the European Transmission System (Dataset)

description: <strong>PyPSA-Eur</strong> is an open model dataset of the European power system at the transmission network level that covers the full ENTSO-E area. The software pipeline to assemble the model is developed at https://github.com/PyPSA/PyPSA-eur and documentation is available at pypsa-eur.readthedocs.io. <strong>This repository provides pre-built PyPSA networks resulting from corresponding PyPSA-Eur Releases using the default configuration!</strong> The model alternating current lines at and above 220 kV voltage level and all high voltage direct current lines, substations, an open database of conventional power plants, time series for electrical demand and variable renewable generator availability, and geographic potentials for the expansion of wind and solar power. It only includes freely available and open data. It provides a fully automated free software pipeline to assemble the load-flow-ready model from the original datasets, which enables easy configuration, replacement and<br> improvement of the individual parts. The model is suitable both for operational studies and generation and transmission expansion planning studies. Some basic validation is provided in a paper describing the dataset: Jonas Hörsch, Fabian Hofmann, David Schlachtberger, and Tom Brown. PyPSA-Eur: An open optimisation model of the European transmission system. Energy Strategy Reviews, 22:207-215, 2018. https://arxiv.org/abs/1806.01613, https://doi.org/10.1016/j.esr.2018.08.012.
DOI: 10.5281/zenodo.4307930
title: PyPSA-Eur: An Open Optimisation Model of the European Transmission System (Dataset)

description: <strong>PyPSA-Eur</strong> is an open model dataset of the European power system at the transmission network level that covers the full ENTSO-E area. The software pipeline to assemble the model is developed at https://github.com/PyPSA/PyPSA-eur and documentation is available at pypsa-eur.readthedocs.io. <strong>This repository provides pre-built PyPSA networks resulting from corresponding PyPSA-Eur Releases using the default configuration!</strong> The model alternating current lines at and above 220 kV voltage level and all high voltage direct current lines, substations, an open database of conventional power plants, time series for electrical demand and variable renewable generator availability, and geographic potentials for the expansion of wind and solar power. It only includes freely available and open data. It provides a fully automated free software pipeline to assemble the load-flow-ready model from the original datasets, which enables easy configuration, replacement and<br> improvement of the individual parts. The model is suitable both for operational studies and generation and transmission expansion planning studies. Some basic validation is provided in a paper describing the dataset: Jonas Hörsch, Fabian Hofmann, David Schlachtberger, and Tom Brown. PyPSA-Eur: An open optimisation model of the European transmission system. Energy Strategy Reviews, 22:207-215, 2018. https://arxiv.org/abs/1806.01613, https://doi.org/10.1016/j.esr.2018.08.012.
DOI: 10.5281/zenodo.5521712
title: PyPSA-Eur: An Open Optimisation Model of the European Transmission System (Dataset)

description: <strong>PyPSA-Eur</strong> is an open model dataset of the European power system at the transmission network level that covers the full ENTSO-E area. The software pipeline to assemble the model is developed at https://github.com/PyPSA/PyPSA-eur and documentation is available at pypsa-eur.readthedocs.io. <strong>This repository provides pre-built PyPSA networks resulting from corresponding PyPSA-Eur Releases using the default configuration!</strong> The model alternating current lines at and above 220 kV voltage level and all high voltage direct current lines, substations, an open database of conventional power plants, time series for electrical demand and variable renewable generator availability, and geographic potentials for the expansion of wind and solar power. It only includes freely available and open data. It provides a fully automated free software pipeline to assemble the load-flow-ready model from the original datasets, which enables easy configuration, replacement and<br> improvement of the individual parts. The model is suitable both for operational studies and generation and transmission expansion planning studies. Some basic validation is provided in a paper describing the dataset: Jonas Hörsch, Fabian Hofmann, David Schlachtberger, and Tom Brown. PyPSA-Eur: An open optimisation model of the European transmission system. Energy Strategy Reviews, 22:207-215, 2018. https://arxiv.org/abs/1806.01613, https://doi.org/10.1016/j.esr.2018.08.012.
DOI: 10.5281/zenodo.6913032
title: PyPSA-Eur: An Open Optimisation Model of the European Transmission System (Dataset)

description: <strong>PyPSA-Eur</strong> is an open model dataset of the European power system at the transmission network level that covers the full ENTSO-E area. The software pipeline to assemble the model is developed at https://github.com/PyPSA/PyPSA-eur and documentation is available at pypsa-eur.readthedocs.io. <strong>This repository provides pre-built PyPSA networks resulting from corresponding PyPSA-Eur Releases using the default configuration!</strong> The model alternating current lines at and above 220 kV voltage level and all high voltage direct current lines, substations, an open database of conventional power plants, time series for electrical demand and variable renewable generator availability, and geographic potentials for the expansion of wind and solar power. It only includes freely available and open data. It provides a fully automated free software pipeline to assemble the load-flow-ready model from the original datasets, which enables easy configuration, replacement and<br> improvement of the individual parts. The model is suitable both for operational studies and generation and transmission expansion planning studies. Some basic validation is provided in a paper describing the dataset: Jonas Hörsch, Fabian Hofmann, David Schlachtberger, and Tom Brown. PyPSA-Eur: An open optimisation model of the European transmission system. Energy Strategy Reviews, 22:207-215, 2018. https://arxiv.org/abs/1806.01613, https://doi.org/10.1016/j.esr.2018.08.012.
DOI: 10.5281/zenodo.7251657
title: PyPSA-Eur: An Open Optimisation Model of the European Transmission System (Dataset)

description: <strong>PyPSA-Eur</strong> is an open model dataset of the European power system at the transmission network level that covers the full ENTSO-E area. The software pipeline to assemble the model is developed at https://github.com/PyPSA/PyPSA-eur and documentation is available at pypsa-eur.readthedocs.io. <strong>This repository provides pre-built PyPSA networks resulting from corresponding PyPSA-Eur Releases using the default configuration!</strong> The model alternating current lines at and above 220 kV voltage level and all high voltage direct current lines, substations, an open database of conventional power plants, time series for electrical demand and variable renewable generator availability, and geographic potentials for the expansion of wind and solar power. It only includes freely available and open data. It provides a fully automated free software pipeline to assemble the load-flow-ready model from the original datasets, which enables easy configuration, replacement and<br> improvement of the individual parts. The model is suitable both for operational studies and generation and transmission expansion planning studies. Some basic validation is provided in a paper describing the dataset: Jonas Hörsch, Fabian Hofmann, David Schlachtberger, and Tom Brown. PyPSA-Eur: An open optimisation model of the European transmission system. Energy Strategy Reviews, 22:207-215, 2018. https://arxiv.org/abs/1806.01613, https://doi.org/10.1016/j.esr.2018.08.012.
DOI: 10.5281/zenodo.7646728
title: PyPSA-Eur: An Open Optimisation Model of the European Transmission System (Dataset)

description: <strong>PyPSA-Eur</strong> is an open model dataset of the European power system at the transmission network level that covers the full ENTSO-E area. The software pipeline to assemble the model is developed at https://github.com/PyPSA/PyPSA-eur and documentation is available at pypsa-eur.readthedocs.io. <strong>This repository provides pre-built PyPSA networks resulting from corresponding PyPSA-Eur Releases using the default configuration!</strong> The model alternating current lines at and above 220 kV voltage level and all high voltage direct current lines, substations, an open database of conventional power plants, time series for electrical demand and variable renewable generator availability, and geographic potentials for the expansion of wind and solar power. It only includes freely available and open data. It provides a fully automated free software pipeline to assemble the load-flow-ready model from the original datasets, which enables easy configuration, replacement and<br> improvement of the individual parts. The model is suitable both for operational studies and generation and transmission expansion planning studies. Some basic validation is provided in a paper describing the dataset: Jonas Hörsch, Fabian Hofmann, David Schlachtberger, and Tom Brown. PyPSA-Eur: An open optimisation model of the European transmission system. Energy Strategy Reviews, 22:207-215, 2018. https://arxiv.org/abs/1806.01613, https://doi.org/10.1016/j.esr.2018.08.012.
DOI: 10.58073/sruc.21946901
title: Description of data collected about the Scottish camelid sector

description: This project involves an online questionnaire survey of Scotland's camelid keepers. We are seeking information on their current practices for recording information about the livestock they keep - llamas, alpacas, guanacos, vicunas and camels. We have asked about recording of births and deaths, purchases and sales, and what methods they use if they do record these data. The dataset contains individuals' responses to these questions, informaiton about numbers of livestock of each species, and in some cases personal email addresses that they have provided in order to allow us to make contact at future stages of the project, to discuss identification, registration and movement recording within this sector. We also ask for some high-level location information (first half of postcode).
DOI: 10.5281/zenodo.7646765
title: Enrich4All-RoCOVID-Restricted

description: The COVID corpus in Romanian collects Romanian documents about the COVID pandemics, about the COVID disease and its diverse aspects that it entails, including medical, sociological and logistical. It was intended to foster the development of an intelligent chatbot, answering Romanian questions about COVID, in the Enrich4All project. It contains two parts: one that can be released publicly (Enrich4All-RoCOVID-Open) and one that contains copyrighted material (Enrich4All-RoCOVID-Restricted). The archive contains a readme file and the copyrighted documents: 36 (.txt, UTF-8) files together with their associated metadata files (.xml). <strong>Example of a metadata file:</strong> <em>&lt;Metadata&gt;<br> &lt;DocumentTitle&gt;Recomandari privind izolarea la domiciliu a persoanelor cu infec?ie cu noul coronavirus (COVID-19)&lt;/DocumentTitle&gt;<br> &lt;PublicationDate&gt;2021&lt;/PublicationDate&gt;<br> &lt;SourceName&gt;Centrul National de Supraveghere si Control al Bolilor Transmisibile&lt;/SourceName&gt;<br> &lt;SourceURL&gt;https://www.cnscbt.ro/index.php/info-populatie/1829-recomandari-privind-izolarea-la-domiciliu-a-persoanelor-cu-covid/file/SourceURL&lt;/SourceURL&gt;<br> &lt;DocumentTextStyle&gt;Scientific&lt;/DocumentTextStyle&gt;<br> &lt;DocumentTextDomain&gt;covid19&lt;/DocumentTextDomain&gt;<br> &lt;SubjectLanguage&gt;Romanian&lt;/SubjectLanguage&gt;<br> &lt;CollectionDate&gt;2021&lt;/CollectionDate&gt;<br> &lt;AccessRight&gt;Restricted Acces&lt;/AccessRight&gt;<br> &lt;No_of_words&gt;539&lt;/No_of_words&gt;<br> &lt;/Metadata&gt;</em> The Enrich4All-RoCOVID-Restricted sub-corpus can only be <strong>released upon request</strong>, requiring a signed document from the interested party specifying that the corpus is used only for research purposes and that it will not be redistributed further. <strong>When using our dataset, please cite the following paper</strong>: Ion, Radu, Andrei-Marius Avram, Vasile Păiş, Maria Mitrofan, Verginica Barbu Mititelu, Elena Irimia, and Valentin Badea. "An Open-Domain QA System for e-Governance." <em>arXiv preprint arXiv:2206.08046</em> (2022). <strong>Person of contact</strong>: Radu Ion, radu@racai.ro
description: {"references": ["Ion, Radu, Andrei-Marius Avram, Vasile P\u0103i\u015f, Maria Mitrofan, Verginica Barbu Mititelu, Elena Irimia, and Valentin Badea. \"An Open-Domain QA System for e-Governance.\"\u00a0arXiv preprint arXiv:2206.08046\u00a0(2022)."]}
DOI: 10.5281/zenodo.7646764
title: Enrich4All-RoCOVID-Restricted

description: The COVID corpus in Romanian collects Romanian documents about the COVID pandemics, about the COVID disease and its diverse aspects that it entails, including medical, sociological and logistical. It was intended to foster the development of an intelligent chatbot, answering Romanian questions about COVID, in the Enrich4All project. It contains two parts: one that can be released publicly (Enrich4All-RoCOVID-Open) and one that contains copyrighted material (Enrich4All-RoCOVID-Restricted). The archive contains a readme file and the copyrighted documents: 36 (.txt, UTF-8) files together with their associated metadata files (.xml). <strong>Example of a metadata file:</strong> <em>&lt;Metadata&gt;<br> &lt;DocumentTitle&gt;Recomandari privind izolarea la domiciliu a persoanelor cu infec?ie cu noul coronavirus (COVID-19)&lt;/DocumentTitle&gt;<br> &lt;PublicationDate&gt;2021&lt;/PublicationDate&gt;<br> &lt;SourceName&gt;Centrul National de Supraveghere si Control al Bolilor Transmisibile&lt;/SourceName&gt;<br> &lt;SourceURL&gt;https://www.cnscbt.ro/index.php/info-populatie/1829-recomandari-privind-izolarea-la-domiciliu-a-persoanelor-cu-covid/file/SourceURL&lt;/SourceURL&gt;<br> &lt;DocumentTextStyle&gt;Scientific&lt;/DocumentTextStyle&gt;<br> &lt;DocumentTextDomain&gt;covid19&lt;/DocumentTextDomain&gt;<br> &lt;SubjectLanguage&gt;Romanian&lt;/SubjectLanguage&gt;<br> &lt;CollectionDate&gt;2021&lt;/CollectionDate&gt;<br> &lt;AccessRight&gt;Restricted Acces&lt;/AccessRight&gt;<br> &lt;No_of_words&gt;539&lt;/No_of_words&gt;<br> &lt;/Metadata&gt;</em> The Enrich4All-RoCOVID-Restricted sub-corpus can only be <strong>released upon request</strong>, requiring a signed document from the interested party specifying that the corpus is used only for research purposes and that it will not be redistributed further. <strong>When using our dataset, please cite the following paper</strong>: Ion, Radu, Andrei-Marius Avram, Vasile Păiş, Maria Mitrofan, Verginica Barbu Mititelu, Elena Irimia, and Valentin Badea. "An Open-Domain QA System for e-Governance." <em>arXiv preprint arXiv:2206.08046</em> (2022). <strong>Person of contact</strong>: Radu Ion, radu@racai.ro
description: {"references": ["Ion, Radu, Andrei-Marius Avram, Vasile P\u0103i\u015f, Maria Mitrofan, Verginica Barbu Mititelu, Elena Irimia, and Valentin Badea. \"An Open-Domain QA System for e-Governance.\"\u00a0arXiv preprint arXiv:2206.08046\u00a0(2022)."]}
DOI: 10.58073/sruc.21946901.v1
title: Description of data collected about the Scottish camelid sector

description: This project involves an online questionnaire survey of Scotland's camelid keepers. We are seeking information on their current practices for recording information about the livestock they keep - llamas, alpacas, guanacos, vicunas and camels. We have asked about recording of births and deaths, purchases and sales, and what methods they use if they do record these data. The dataset contains individuals' responses to these questions, informaiton about numbers of livestock of each species, and in some cases personal email addresses that they have provided in order to allow us to make contact at future stages of the project, to discuss identification, registration and movement recording within this sector. We also ask for some high-level location information (first half of postcode).
DOI: 10.5281/zenodo.7646142
title: Enrich4All-RoCOVID-Open

description: The COVID corpus in Romanian collects Romanian documents about the COVID pandemics, about the COVID disease and its diverse aspects that it entails, including medical, sociological and logistical. It was intended to foster the development of an intelligent chatbot, answering Romanian questions about COVID, in the Enrich4All project. It contains two parts: one that can be released publicly (Enrich4All-RoCOVID-Open) and one that contains copyrighted material (Enrich4All-RoCOVID-Restricted). The archive contains a readme file and the publicly released documents: 82 (.txt, UTF-8) files together with their associated metadata files (.xml). <strong>Example of a metadata file:</strong> <em>&lt;Metadata&gt;<br> &lt;DocumentTitle&gt;Sinteză: Regimul carantinei și condițiile pentru intrarea în România&lt;/DocumentTitle&gt;<br> &lt;PublicationDate&gt;2020&lt;/PublicationDate&gt;<br> &lt;SourceName&gt;Code for Romania&lt;/SourceName&gt;<br> &lt;SourceURL&gt;https://covid19.stirioficiale.ro/sinteza-regimul-carantinei-si-conditiile-pentru-intrarea-in-romania&lt;/SourceURL&gt;<br> &lt;DocumentTextStyle&gt;Law&lt;/DocumentTextStyle&gt;<br> &lt;DocumentTextDomain&gt;covid19&lt;/DocumentTextDomain&gt;<br> &lt;SubjectLanguage&gt;Romanian&lt;/SubjectLanguage&gt;<br> &lt;CollectionDate&gt;2021&lt;/CollectionDate&gt;<br> &lt;AccessRight&gt;Open Access&lt;/AccessRight&gt;<br> &lt;No_of_words&gt;3073&lt;/No_of_words&gt;<br> &lt;/Metadata&gt;</em> <strong>When using our dataset, please cite the following paper</strong>: Ion, Radu, Andrei-Marius Avram, Vasile Păiş, Maria Mitrofan, Verginica Barbu Mititelu, Elena Irimia, and Valentin Badea. "An Open-Domain QA System for e-Governance." <em>arXiv preprint arXiv:2206.08046</em> (2022). <strong>Person of contact</strong>: Radu Ion, radu@racai.ro
description: {"references": ["Ion, Radu, Andrei-Marius Avram, Vasile P\u0103i\u015f, Maria Mitrofan, Verginica Barbu Mititelu, Elena Irimia, and Valentin Badea. \"An Open-Domain QA System for e-Governance.\" arXiv preprint arXiv:2206.08046 (2022)."]}