cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7541421
title: Dataset related to the publication "The Short-Term Performances of Two Independent Gas Modulated Refractometers for Pressure Assessments"

description: The data set consists of; The published paper, all figures that present measurement or simulation data in .png and .fig format and the underlying data plotted in the figures in text format. The published plots were generated from the fig files. The text files were generated by reading the plotted data from the fig files. The files are named Fig_XX were XX corresponds to the figure number in the publication. The format of the text file is as follows. Before every data set there is a header consisting of; The number of the subplot where the data is plotted (Plot: XX), the number of the data set in the sub plot (DataSet: XX), and the color of the line or marker in the plot (Color: XX). The description of what each color represents can be found in the publication.
description: Acknowledgments: This project (QuantumPascal, 18SIB04) has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme; Vetenskapsrådet (VR) (621-2015-04374 and 621-2020-05105); the UmeåUniversity Industrial doctoral school (IDS-18); the Vinnova Metrology Programme (2017-05013, 2018-04570, and 2019-05029); the Kempe Foundations (1823.U12).
DOI: 10.5281/zenodo.7541434
title: Dataset related to the publication "An optical pascal in Sweden"

description: The data set consists of; The published paper, all figures that present measurement or simulation data in .png and .fig format and the underlying data plotted in the figures in text format. The published plots were generated from the fig files. The text files were generated by reading the plotted data from the fig files. The files are named Fig_XX were XX corresponds to the figure number in the publication. The format of the text file is as follows. Before every data set there is a header consisting of; The number of the subplot where the data is plotted (Plot: XX), the number of the data set in the sub plot (DataSet: XX), and the color of the line or marker in the plot (Color: XX). The description of what each color represents can be found in the publication.
description: Acknowledgments: This work has received funding from the EMPIR programme (QuantumPascal, 18SIB04), which is co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme. It has also been supported by Vetenskapsrådet (VR) (621-2015-04374 and 621-2020-05105); the Umeå University Industrial doctoral school (IDS-18); the Vinnova Metrology Programme (2017-05013, 2018-04570, and 2019-05029); and the Kempe Foundations (1823.U12).
DOI: 10.5281/zenodo.7541433
title: Dataset related to the publication "An optical pascal in Sweden"

description: The data set consists of; The published paper, all figures that present measurement or simulation data in .png and .fig format and the underlying data plotted in the figures in text format. The published plots were generated from the fig files. The text files were generated by reading the plotted data from the fig files. The files are named Fig_XX were XX corresponds to the figure number in the publication. The format of the text file is as follows. Before every data set there is a header consisting of; The number of the subplot where the data is plotted (Plot: XX), the number of the data set in the sub plot (DataSet: XX), and the color of the line or marker in the plot (Color: XX). The description of what each color represents can be found in the publication.
description: Acknowledgments: This work has received funding from the EMPIR programme (QuantumPascal, 18SIB04), which is co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme. It has also been supported by Vetenskapsrådet (VR) (621-2015-04374 and 621-2020-05105); the Umeå University Industrial doctoral school (IDS-18); the Vinnova Metrology Programme (2017-05013, 2018-04570, and 2019-05029); and the Kempe Foundations (1823.U12).
DOI: 10.5281/zenodo.7543177
title: Dataset related to the publication "In situ determination of the penetration depth of mirrors in Fabry-Perot refractometers and its influence on assessment of refractivity and pressure"

description: The data set consists of; The published paper, all figures that present measurement or simulation data in .png and .fig format and the underlying data plotted in the figures in text format. The published plots were generated from the fig files. The text files were generated by reading the plotted data from the fig files. The files are named Fig_XX were XX corresponds to the figure number in the publication. The format of the text file is as follows. Before every data set there is a header consisting of; The number of the subplot where the data is plotted (Plot: XX), the number of the data set in the sub plot (DataSet: XX), and the color of the line or marker in the plot (Color: XX). The description of what each color represents can be found in the publication.
description: Acknowledgments: European Metrology Programme for Innovation and Research (18SIB04); Vetenskapsrådet (2020-00238, 2020-05105); Umeå Universitet (IDS-18); Knut och Alice Wallenbergs Stiftelse (2020.0303); VINNOVA (2018-04570); Kempestiftelserna (1823.U12).
DOI: 10.5281/zenodo.7543178
title: Dataset related to the publication "In situ determination of the penetration depth of mirrors in Fabry-Perot refractometers and its influence on assessment of refractivity and pressure"

description: The data set consists of; The published paper, all figures that present measurement or simulation data in .png and .fig format and the underlying data plotted in the figures in text format. The published plots were generated from the fig files. The text files were generated by reading the plotted data from the fig files. The files are named Fig_XX were XX corresponds to the figure number in the publication. The format of the text file is as follows. Before every data set there is a header consisting of; The number of the subplot where the data is plotted (Plot: XX), the number of the data set in the sub plot (DataSet: XX), and the color of the line or marker in the plot (Color: XX). The description of what each color represents can be found in the publication.
description: Acknowledgments: European Metrology Programme for Innovation and Research (18SIB04); Vetenskapsrådet (2020-00238, 2020-05105); Umeå Universitet (IDS-18); Knut och Alice Wallenbergs Stiftelse (2020.0303); VINNOVA (2018-04570); Kempestiftelserna (1823.U12).
DOI: 10.5281/zenodo.7540724
title: Dataset related to the publication "Invar-based refractometer for pressure assessments"

description: The data set consists of; The published paper, all figures that present measurement or simulation data in .png and .fig format and the underlying data plotted in the figures in text format. The published plots were generated from the fig files. The text files were generated by reading the plotted data from the fig files. The files are named Fig_XX were XX corresponds to the figure number in the publication. The format of the text file is as follows. Before every data set there is a header consisting of; The number of the subplot where the data is plotted (Plot: XX), the number of the data set in the sub plot (DataSet: XX), and the color of the line or marker in the plot (Color: XX). The description of what each color represents can be found in the publication.
description: Acknowledgments: EMPIR Initiative QuantumPascal (18SIB04); Vetenskapsrådet (621-2015-04374); Umeå Universitet (Industrial Doctoral School); VINNOVA (2018-04570, 2019-05029); Kempestiftelserna (1823.U12).
DOI: 10.5281/zenodo.7540725
title: Dataset related to the publication "Invar-based refractometer for pressure assessments"

description: The data set consists of; The published paper, all figures that present measurement or simulation data in .png and .fig format and the underlying data plotted in the figures in text format. The published plots were generated from the fig files. The text files were generated by reading the plotted data from the fig files. The files are named Fig_XX were XX corresponds to the figure number in the publication. The format of the text file is as follows. Before every data set there is a header consisting of; The number of the subplot where the data is plotted (Plot: XX), the number of the data set in the sub plot (DataSet: XX), and the color of the line or marker in the plot (Color: XX). The description of what each color represents can be found in the publication.
description: Acknowledgments: EMPIR Initiative QuantumPascal (18SIB04); Vetenskapsrådet (621-2015-04374); Umeå Universitet (Industrial Doctoral School); VINNOVA (2018-04570, 2019-05029); Kempestiftelserna (1823.U12).
DOI: 10.5281/zenodo.7541099
title: Dataset related to the publication "Procedure for robust assessment of cavity deformation in Fabry–Pérot based refractometers"

description: The data set consists of; The published paper, all figures that present measurement or simulation data in .png and .fig format and the underlying data plotted in the figures in text format. The published plots were generated from the fig files. The text files were generated by reading the plotted data from the fig files. The files are named Fig_XX were XX corresponds to the figure number in the publication. The format of the text file is as follows. Before every data set there is a header consisting of; The number of the subplot where the data is plotted (Plot: XX), the number of the data set in the sub plot (DataSet: XX), and the color of the line or marker in the plot (Color: XX). The description of what each color represents can be found in the publication.
description: Acknowledgments: This research was, in part, supported by the EMPIR Initiative (No. 18SIB04), which is cofounded by the European Union's Horizon 2020 research and innovation program and the EMPIR Participating States; the Swedish Research Council (VR) (Project No. 621-2015-04374); the Umeå University Industrial Doctoral School (IDS); the Vinnova Metrology Programme (Project Nos. 2018-04570 and 2019-05029); and the Kempe Foundations (Project No. 1823, U12).
DOI: 10.5281/zenodo.7541100
title: Dataset related to the publication "Procedure for robust assessment of cavity deformation in Fabry–Pérot based refractometers"

description: The data set consists of; The published paper, all figures that present measurement or simulation data in .png and .fig format and the underlying data plotted in the figures in text format. The published plots were generated from the fig files. The text files were generated by reading the plotted data from the fig files. The files are named Fig_XX were XX corresponds to the figure number in the publication. The format of the text file is as follows. Before every data set there is a header consisting of; The number of the subplot where the data is plotted (Plot: XX), the number of the data set in the sub plot (DataSet: XX), and the color of the line or marker in the plot (Color: XX). The description of what each color represents can be found in the publication.
description: Acknowledgments: This research was, in part, supported by the EMPIR Initiative (No. 18SIB04), which is cofounded by the European Union's Horizon 2020 research and innovation program and the EMPIR Participating States; the Swedish Research Council (VR) (Project No. 621-2015-04374); the Umeå University Industrial Doctoral School (IDS); the Vinnova Metrology Programme (Project Nos. 2018-04570 and 2019-05029); and the Kempe Foundations (Project No. 1823, U12).
DOI: 10.5281/zenodo.7541461
title: Dataset related to the publication "Thermodynamic effects in a gas modulatedInvar-based dual Fabry–Pérot cavityrefractometer"

description: The data set consists of; The published paper, all figures that present measurement or simulation data in .png and .fig format and the underlying data plotted in the figures in text format. The published plots were generated from the fig files. The text files were generated by reading the plotted data from the fig files. The files are named Fig_XX were XX corresponds to the figure number in the publication. The format of the text file is as follows. Before every data set there is a header consisting of; The number of the subplot where the data is plotted (Plot: XX), the number of the data set in the sub plot (DataSet: XX), and the color of the line or marker in the plot (Color: XX). The description of what each color represents can be found in the publication.
description: Acknowledgments: This project (QuantumPascal, 18SIB04) has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme; Vetenskapsrådet (VR) (621-2015-04374 and 621-2020-05105); the Umeå University Industrial doctoral school; the Vinnova Metrology Programme (2017-05013, 2018-04570, and 2019-05029); the Kempe Foundations (1823.U12).
DOI: 10.5281/zenodo.7541462
title: Dataset related to the publication "Thermodynamic effects in a gas modulatedInvar-based dual Fabry–Pérot cavityrefractometer"

description: The data set consists of; The published paper, all figures that present measurement or simulation data in .png and .fig format and the underlying data plotted in the figures in text format. The published plots were generated from the fig files. The text files were generated by reading the plotted data from the fig files. The files are named Fig_XX were XX corresponds to the figure number in the publication. The format of the text file is as follows. Before every data set there is a header consisting of; The number of the subplot where the data is plotted (Plot: XX), the number of the data set in the sub plot (DataSet: XX), and the color of the line or marker in the plot (Color: XX). The description of what each color represents can be found in the publication.
description: Acknowledgments: This project (QuantumPascal, 18SIB04) has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme; Vetenskapsrådet (VR) (621-2015-04374 and 621-2020-05105); the Umeå University Industrial doctoral school; the Vinnova Metrology Programme (2017-05013, 2018-04570, and 2019-05029); the Kempe Foundations (1823.U12).
DOI: 10.5281/zenodo.7541405
title: Dataset related to the publication "Optical realization of the pascal - Characterization of two gas modulated refractometers"

description: The data set consists of; The published paper, all figures that present measurement or simulation data in .png and .fig format and the underlying data plotted in the figures in text format. The published plots were generated from the fig files. The text files were generated by reading the plotted data from the fig files. The files are named Fig_XX were XX corresponds to the figure number in the publication. The format of the text file is as follows. Before every data set there is a header consisting of; The number of the subplot where the data is plotted (Plot: XX), the number of the data set in the sub plot (DataSet: XX), and the color of the line or marker in the plot (Color: XX). The description of what each color represents can be found in the publication.
description: Acknowledgments: This project (QuantumPascal, 18SIB04) has received funding from the EMPIR program co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation program; Vetenskapsrådet (VR) (Nos. 621-2015-04374 and 621-2019-04159); the Umeå University Industrial doctoral school; the Vinnova Metrology Programme (Nos. 2017-05013, 2018-04570, and 2019-05029); and the Kempe Foundations (No. 1823.U12).
DOI: 10.5281/zenodo.7541406
title: Dataset related to the publication "Optical realization of the pascal - Characterization of two gas modulated refractometers"

description: The data set consists of; The published paper, all figures that present measurement or simulation data in .png and .fig format and the underlying data plotted in the figures in text format. The published plots were generated from the fig files. The text files were generated by reading the plotted data from the fig files. The files are named Fig_XX were XX corresponds to the figure number in the publication. The format of the text file is as follows. Before every data set there is a header consisting of; The number of the subplot where the data is plotted (Plot: XX), the number of the data set in the sub plot (DataSet: XX), and the color of the line or marker in the plot (Color: XX). The description of what each color represents can be found in the publication.
description: Acknowledgments: This project (QuantumPascal, 18SIB04) has received funding from the EMPIR program co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation program; Vetenskapsrådet (VR) (Nos. 621-2015-04374 and 621-2019-04159); the Umeå University Industrial doctoral school; the Vinnova Metrology Programme (Nos. 2017-05013, 2018-04570, and 2019-05029); and the Kempe Foundations (No. 1823.U12).
DOI: 10.5517/ccdc.csd.cc285lsv
title: CCDC 2090757: Experimental Crystal Structure Determination

description: Related Article: Qihao Wu, Bailey A. Bell, Jia-Xuan Yan, Marc G. Chevrette, Nathan J. Brittin, Yanlong Zhu, Shaurya Chanana, Mitasree Maity, Doug R. Braun, Amelia M. Wheaton, Ilia A. Guzei, Ying Ge, Scott R. Rajski, Michael G. Thomas, Tim S. Bugni|2022|J.Am.Chem.Soc.|145|58|doi:10.1021/jacs.2c06410
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: 10.5281/zenodo.7017872
title: Bibliographic data from Escola Regional de Engenharia de Software

description: Dataset with title, authors and afiliation from papers published at Escola Regional de Engenharia de Software.
DOI: 10.5281/zenodo.7017873
title: Bibliographic data from Escola Regional de Engenharia de Software

description: Dataset with title, authors and afiliation from papers published at Escola Regional de Engenharia de Software.
DOI: 10.5281/zenodo.7433087
title: PlasmoFAB

description: PlasmoFAB is a curated dataset containing amino acid sequences of proteins expressed by Plasmodium falciparum (Pf). Sequences are separated into antigen candidates and intracellular proteins. PlasmoFAB is created to provide a high-quality trainings set for machine learning models that will be used for Pf antigen exploration. We provide PlasmoFAB in form of two separate csv files. One file, named <em>PlasmoFAB_pos.csv</em>, contains the positive set, i.e., all protein sequences that are antigen candidates. The other file, named <em>PlasmoFAB_neg.csv</em>, contains the negative set, i.e., all protein sequences that are intracellular proteins. Each sequence has a flag in the datafield "test" that indicates whether or not the sequence was used in the test set of machine learning experiments performed in the corresponding manuscript. Additionally, the file <em>PlasmoFAB_datasheet.md</em> contains a datasheet for PlasmoFAB as introduced in Gebru, Timnit, et al. "Datasheets for datasets." <em>Communications of the ACM</em> 64.12 (2021): 86-92.
description: Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy – EXC number 2064/1 – Project number 390727645. This research was supported by the German Federal Ministry of Education and Research (BMBF) project 'Training Center Machine Learning, Tübingen' with grant number 01|S17054. This work was supported by the German Federal Ministry of Education and Research (BMBF): Tübingen AI Center, FKZ: 01IS18039A.
DOI: 10.5281/zenodo.7433086
title: PlasmoFAB

description: PlasmoFAB is a curated dataset containing amino acid sequences of proteins expressed by Plasmodium falciparum (Pf). Sequences are separated into antigen candidates and intracellular proteins. PlasmoFAB is created to provide a high-quality trainings set for machine learning models that will be used for Pf antigen exploration. We provide PlasmoFAB in form of two separate csv files. One file, named <em>PlasmoFAB_pos.csv</em>, contains the positive set, i.e., all protein sequences that are antigen candidates. The other file, named <em>PlasmoFAB_neg.csv</em>, contains the negative set, i.e., all protein sequences that are intracellular proteins. Each sequence has a flag in the datafield "test" that indicates whether or not the sequence was used in the test set of machine learning experiments performed in the corresponding manuscript. Additionally, the file <em>PlasmoFAB_datasheet.md</em> contains a datasheet for PlasmoFAB as introduced in Gebru, Timnit, et al. "Datasheets for datasets." <em>Communications of the ACM</em> 64.12 (2021): 86-92.
description: Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy – EXC number 2064/1 – Project number 390727645. This research was supported by the German Federal Ministry of Education and Research (BMBF) project 'Training Center Machine Learning, Tübingen' with grant number 01|S17054. This work was supported by the German Federal Ministry of Education and Research (BMBF): Tübingen AI Center, FKZ: 01IS18039A.
DOI: 10.5281/zenodo.7551330
title: Geomagnetic datasets of BJI station reconstructed through Artificial Neural Network improved by Genetic Algorithm in 2021

description: Beijing station established in 1954 is one of the oldest geomagnetic observatories in China, which plays an important role in data exchange, and further provide data or standardization for satellite observation and geomagnetic model construction. With the development of urbanization, the observed data are greatly disturbed by subways, and data disturbed are almost unavailable. The dataset was reconstructed through Artificial Neural Network improved by Genetic Algorithm, including minutely data of three components (<em>D</em>, <em>H</em> and <em>Z</em>) in 2021. This reconstruction method has been proved to be effective.
DOI: 10.5281/zenodo.7551329
title: Geomagnetic datasets of BJI station reconstructed through Artificial Neural Network improved by Genetic Algorithm in 2021

description: Beijing station established in 1954 is one of the oldest geomagnetic observatories in China, which plays an important role in data exchange, and further provide data or standardization for satellite observation and geomagnetic model construction. With the development of urbanization, the observed data are greatly disturbed by subways, and data disturbed are almost unavailable. The dataset was reconstructed through Artificial Neural Network improved by Genetic Algorithm, including minutely data of three components (<em>D</em>, <em>H</em> and <em>Z</em>) in 2021. This reconstruction method has been proved to be effective.