cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh400688.07fu
title: SH400688.07FU

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/sh400689.07fu
title: SH400689.07FU

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/sh1766889.08fu
title: SH1766889.08FU

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/sh1766890.08fu
title: SH1766890.08FU

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/sh400690.07fu
title: SH400690.07FU

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/sh400691.07fu
title: SH400691.07FU

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/sh1766891.08fu
title: SH1766891.08FU

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/sh1766892.08fu
title: SH1766892.08FU

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: 10.25345/c5xr3m
title: MassIVE MSV000086653 - Nontargeted metabolomics reveals the antibiotic resistance of methicillin-resistant Staphylococcus aureus
title: a mass spectrometry-based nontargeted metabolic figure printing technique was utilized to characterize the metabolome of a pair of isogenic methicillin-susceptible and resistant Staphylococcus aureus strains ATCC25923 (MSSA) and ATCC43300 (MRSA) treated with the sublethal dose of oxacillin.
DOI: 10.6084/m9.figshare.13513683
title: Impact of COVID 19 on Doctoral and Early Career Researchers - Time 2

description: SMaRteN, in partnership with Vitae, conducated research into the impact of COVID-19 on the working lives of doctoral researchers and research staff. This is the Time 2 data set. Data was collected at the end of September and start of October 2020. Please see link at bottom of page for the first data set.<br><br>SMaRteN www.smarten.org.ukThe UK Research and Innovation (UKRI) funded Student Mental Health Research Network (SMaRteN) is working to support and encourage better research into student mental health. SMaRteN is based at Institute of Psychiatry, Psychology and Neurosciences at King’s College London.<br>Vitae is a non-profit programme supporting the professional and career development of researchers. www.vitae.ac.uk @vitae_news<br><br>Covid-19 and the associated lock down has caused substantive disruption to the study and work of doctoral students and researchers in universities. The response to the pandemic has varied across universities and research funders.<br><br>SMaRteN and Vitae aim to develop a national picture for how doctoral researchers and research staff have been affected by the pandemic.<br><br>​The survey includes questions relating to the impact of COVID-19 on research work, mental wellbeing, social connection. We further address the impact of COVID-19 on changes to employment outside of academia, living arrangements and caring arrangements and the consequent effect of these changes on research work. The survey considers the support provided by supervisors / line managers and by universities.<br><br>Data available here as either an SPSS or Excel download:SPSS file contains labelsExcel file contains labels and brief notes about coding<br>Recoding data for CV19 impact - SPSS Syntax file describes steps taken to code data<br>CV19_impact_on_researchers - word document, export from Qualtrics of the survey.<br>Please note, data has been removed from this data set to ensure participant anonymity.<br>For further information, please contact Dr Nicola Byrom - nicola.byrom@kcl.ac.uk
DOI: 10.6084/m9.figshare.13513683.v1
title: Impact of COVID 19 on Doctoral and Early Career Researchers

description: SMaRteN, in partnership with Vitae, conducated research into the impact of COVID-19 on the working lives of doctoral researchers and research staff. This is the Time 2 data set. Data was collected at the end of September and start of October 2020. <br><br>SMaRteN www.smarten.org.ukThe UK Research and Innovation (UKRI) funded Student Mental Health Research Network (SMaRteN) is working to support and encourage better research into student mental health. SMaRteN is based at Institute of Psychiatry, Psychology and Neurosciences at King’s College London.<br>Vitae is a non-profit programme supporting the professional and career development of researchers. www.vitae.ac.uk @vitae_news<br><br>Covid-19 and the associated lock down has caused substantive disruption to the study and work of doctoral students and researchers in universities. The response to the pandemic has varied across universities and research funders.<br><br>SMaRteN and Vitae aim to develop a national picture for how doctoral researchers and research staff have been affected by the pandemic.<br><br>​The survey includes questions relating to the impact of COVID-19 on research work, mental wellbeing, social connection. We further address the impact of COVID-19 on changes to employment outside of academia, living arrangements and caring arrangements and the consequent effect of these changes on research work. The survey considers the support provided by supervisors / line managers and by universities.<br><br>Data available here as either an SPSS or Excel download:SPSS file contains labelsExcel file contains labels and brief notes about coding<br>Recoding data for CV19 impact - SPSS Syntax file describes steps taken to code data<br>CV19_impact_on_researchers - word document, export from Qualtrics of the survey.<br>Please note, data has been removed from this data set to ensure participant anonymity.<br>For further information, please contact Dr Nicola Byrom - nicola.byrom@kcl.ac.uk
DOI: 10.21227/s837-z618
title: SSOCP Power Flow Optimization Results

description: This data set encompasses the optimal power flow and maximum loadability results related to the paper entitled “Sequential Convex Programming for Tightening Second-Order Cone AC Power Flow Relaxations”.
DOI: 10.5281/zenodo.4067883
title: Isolated Ti(III) Species on the Surface of a Pre-active Ziegler Natta Catalyst. Dataset related to publication. Version: 1

description: Origin of the data: Experimental spectroscopic measurements; Computer modelling. Data type: experimental measurements, models. The obtained data are in txt, DCS, DTA, SPC and PAR format. Data <strong>generated</strong> by a machine. Information on the machine: firm which produced the machine: <em>BRUKER</em>; version of the machine: <em>ESP 300E for measurements at X-band frequency and Elexys E580 for measurements at Q-band frequency</em>. Methodology used to collect the data and to process the data: <strong><em>EPR Spectroscopy</em></strong> Analytical and procedural information: <strong><em>EPR Spectroscopy</em></strong> Definitions of variables: <strong><em>Magnetic field and temperature.</em></strong> Units of measurement: <strong><em>milli Tesla (mT), Kelvin (K), Megahertz (MHz).</em></strong> Abbreviation <strong>mg70 </strong>for the data related to the binary system MgCl<sub>2</sub>/TiCl<sub>4</sub>, Abbreviation <strong>mg21 </strong> for the data related to the ternary system MgCl<sub>2</sub>/TiCl<sub>4</sub>/monoether Abbreviation <strong>mg36 </strong> for the data related to the ternary system MgCl<sub>2</sub>/TiCl<sub>4</sub>/diester. Specialized abbreviations: <strong><em>EPR</em></strong><em> – Electron Paramagnetic Resonance,</em> <em><strong>CW</strong>– Continuous Wave,</em> <em><strong>ESE – </strong>Electron Spin Echo,</em> <strong><em>ESEEM </em></strong><br> <em>– Electron Spin Echo Envelope Modulation,</em> <em><strong>HYSCORE</strong> – Hyperfine Sublevel Correlation, </em><strong><em>ZN catalyst</em></strong><br> <em>– Ziegler-Natta catalyst</em>, <em><strong>ID – </strong>internal donor.</em> To read the data, OriginPro 9.0 and Matlab R2019a have been used on Windows platform. For simulation Easyspin 5.2.28 simulation package has been used. To read the data, also Python can be used based on the convenience of the users. To process the data, OriginPro 9.0 and Matlab R2019a have been used in Windows platform. Python can also be used based on the convenient of users. Where to get <em>OriginPro 9.0, Matlab R2019a and Easyspin 5.2.28: </em> MATLAB R2019a: https://nl.mathworks.com/downloads/web_downloads/select_release?mode=gwylf OriginPro 9.0: https://www.originlab.com/index.aspx?go=PRODUCTS/Origin Easyspin 5.2.28: https://easyspin.org/easyspin/documentation/index.html Where to get the licenses: For MATLAB R2019a the website to download the licence is: https://nl.mathworks.com/downloads/web_downloads/select_release?mode=gwylf For OriginPro 9.0: https://www.originlab.com/index.aspx?go=PURCHASE/LicensingOptions
DOI: 10.5281/zenodo.4067882
title: Isolated Ti(III) Species on the Surface of a Pre-active Ziegler Natta Catalyst. Dataset related to publication. Version: 1

description: Origin of the data: Experimental spectroscopic measurements; Computer modelling. Data type: experimental measurements, models. The obtained data are in txt, DCS, DTA, SPC and PAR format. Data <strong>generated</strong> by a machine. Information on the machine: firm which produced the machine: <em>BRUKER</em>; version of the machine: <em>ESP 300E for measurements at X-band frequency and Elexys E580 for measurements at Q-band frequency</em>. Methodology used to collect the data and to process the data: <strong><em>EPR Spectroscopy</em></strong> Analytical and procedural information: <strong><em>EPR Spectroscopy</em></strong> Definitions of variables: <strong><em>Magnetic field and temperature.</em></strong> Units of measurement: <strong><em>milli Tesla (mT), Kelvin (K), Megahertz (MHz).</em></strong> Abbreviation <strong>mg70 </strong>for the data related to the binary system MgCl<sub>2</sub>/TiCl<sub>4</sub>, Abbreviation <strong>mg21 </strong> for the data related to the ternary system MgCl<sub>2</sub>/TiCl<sub>4</sub>/monoether Abbreviation <strong>mg36 </strong> for the data related to the ternary system MgCl<sub>2</sub>/TiCl<sub>4</sub>/diester. Specialized abbreviations: <strong><em>EPR</em></strong><em> – Electron Paramagnetic Resonance,</em> <em><strong>CW</strong>– Continuous Wave,</em> <em><strong>ESE – </strong>Electron Spin Echo,</em> <strong><em>ESEEM </em></strong><br> <em>– Electron Spin Echo Envelope Modulation,</em> <em><strong>HYSCORE</strong> – Hyperfine Sublevel Correlation, </em><strong><em>ZN catalyst</em></strong><br> <em>– Ziegler-Natta catalyst</em>, <em><strong>ID – </strong>internal donor.</em> To read the data, OriginPro 9.0 and Matlab R2019a have been used on Windows platform. For simulation Easyspin 5.2.28 simulation package has been used. To read the data, also Python can be used based on the convenience of the users. To process the data, OriginPro 9.0 and Matlab R2019a have been used in Windows platform. Python can also be used based on the convenient of users. Where to get <em>OriginPro 9.0, Matlab R2019a and Easyspin 5.2.28: </em> MATLAB R2019a: https://nl.mathworks.com/downloads/web_downloads/select_release?mode=gwylf OriginPro 9.0: https://www.originlab.com/index.aspx?go=PRODUCTS/Origin Easyspin 5.2.28: https://easyspin.org/easyspin/documentation/index.html Where to get the licenses: For MATLAB R2019a the website to download the licence is: https://nl.mathworks.com/downloads/web_downloads/select_release?mode=gwylf For OriginPro 9.0: https://www.originlab.com/index.aspx?go=PURCHASE/LicensingOptions
DOI: 10.5281/zenodo.4405209
title: Thiosulfonylation of Unactivated Alkenes with Visible-Light Organic Photocatalysis

description: <strong>Origin of the data: </strong>Experimental spectroscopic measurements<br> <strong>Data Type: </strong>experimental measurements, open access supporting information The data are in CSV, DSW and FBSW format. Supporting information are supplied in PDF format. Data <strong>generated </strong>by instruments: Varian Cary 5E-UV-Vis-NIR spectrophotometer for UV-Vis measurements,<br> Varian Cary Eclipse fluorescence spectrophotomer for fluorescence quenching measurements. <strong>Analytical and procedural information: </strong>Stern-Volmer fluorescence quenching experiments, UV-Vis measurements and Fluorescent Quantum Yield determination via ferrioxalate actinometry. <strong>Definition of variables: </strong>Wavelength, Absorbance, Concentration<br> <strong>Units of measurement: </strong>nanometers (nm), moles-per-litre (mol/l) <strong>Abbreviations: </strong><br> File names and data headers use the following abbreviations: <strong>FQY </strong>refers to Fluorescence Quantum Yield determination experiments <strong>Light </strong>refers to irradiated samples in the actinometry experiment, as detailed in the procedure in the supporting information. <strong>Dark </strong>refers to non-irradiated samples in the actinometry experiment, as detailed in the procedure in the supporting information. <strong>SVQuench </strong>refers to Stern-Volmer quenching experiments <strong>RAxx </strong>refer to measurements related to allylbenzene. <strong>Xx </strong>is the amount of quencher in mol/l (05 should be intended as 0.5 mol/l and so on). <strong>RTxx </strong>refer to measurements related to <em>S</em>-(4-methylphenyl) 4-methylbenzenethiosulfonate. <strong>Xx </strong>is the amount of quencher in mol/l as above. <strong>RExx </strong>refer to measurements related to 1,2-dimethoxy-4-(prop-2-en-1-yl)benzene. <strong>Xx </strong>is the amount of quencher in mol/l as above. <strong>RSxx </strong>refer to measurements related to styrene. <strong>Xx </strong>is the amount of quencher in mol/l. <strong>RTFxx </strong>refer to measurements related to <em>S</em>-(4-fluorophenyl) 4-fluorobenzenethiosulfonate. <strong>Xx </strong>is the amount of quencher in mol/l as above. <strong>MesAcrMe Xx </strong>refers to data related to catalyst 9-mesityl-10-methylacridinium. <strong>Xx </strong>is the amount of catalyst in mol/l as above. <strong>DMC </strong>for measurements employing dimethylcarbonate as solvent. <strong>ACN </strong>for measurements employing acetonitrile as solvent.
description: FBSW and DSW data are used by the proprietary software of the Varian spectrometers (CARY WinUV and Cary Eclipse). Information can be found at https://www.agilent.com/en/product/molecular-spectroscopy/uv-vis-uv-vis-nir-spectroscopy/uv-vis-uv-vis-nir-software/cary-winuv-software and https://www.agilent.com/en/product/molecular-spectroscopy/fluorescence-spectroscopy/fluorescence-software/cary-eclipse-software