cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17633/rd.brunel.16962895.v1
title: Why “one size fits all” is not enough when designing COVID-19 immunity certificates for domestic use: a UK wide cross-sectional online survey

description: This links to the OSF entry that contains the documents related to the cross sectional survey run as part of the AHRC funded IMMUNE (Immunity Passports Service Design).Ethical approval was granted by Brunel University.
DOI: 10.6084/m9.figshare.16910953
title: Synergetic effect of NH3 and NOx on SOA

description: MSf43 and f44O:C H:C N:C
DOI: 10.6084/m9.figshare.16910953.v1
title: Synergetic effect of NH3 and NOx on SOA

description: MSf43 and f44O:C H:C N:C
DOI: 10.15161/oar.it/74283
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.17894/ucph.ae428db0-ff1d-4d5c-a8ae-5bb8dbe62dc5
title: δ13Corg and TOC of Alum Shale in four Scandinavian cores
DOI: 10.6084/m9.figshare.17085800.v1
title: Assessment of Knowledge and Awareness of Eco-friendly Initiatives among the People living in the Far-North Region of Cameroon_ Case of the City of Maroua (Responses).xlsx

description: Dataset for the research
DOI: 10.6084/m9.figshare.17085800
title: Assessment of Knowledge and Awareness of Eco-friendly Initiatives among the People living in the Far-North Region of Cameroon_ Case of the City of Maroua (Responses).xlsx

description: Dataset for the research
DOI: 10.5281/zenodo.5721526
title: Information and results obtained from IoT Platform in Valencia Pilot

description: The IoT platform allows the geolocation of the container, as well as manage the information of the filling level and traceability of trucks. The eco driving application on board of the truck sends the data from the truck (location, speed, RPM and engine load) t o the IoT platform where it is stored. At the same time sound alarms are emitted when driver excess the ecodriving parameters in the Android application. Besides this, the application receives from the IoT platform the position of the containers that must be collected. In this way the driver can see the position, order of collection of the containers and pathway to collect them, as explained above.<br> The IoT platform receives the information of the labels dispensed from the smart containers. The score of the characterized bags were registered in the platform as explained in the next section. Attached the different data sets generated during the project. For general info, follow the link: https://plasticircle.eu/home/
DOI: 10.5281/zenodo.5721525
title: Information and results obtained from IoT Platform in Valencia Pilot

description: The IoT platform allows the geolocation of the container, as well as manage the information of the filling level and traceability of trucks. The eco driving application on board of the truck sends the data from the truck (location, speed, RPM and engine load) t o the IoT platform where it is stored. At the same time sound alarms are emitted when driver excess the ecodriving parameters in the Android application. Besides this, the application receives from the IoT platform the position of the containers that must be collected. In this way the driver can see the position, order of collection of the containers and pathway to collect them, as explained above.<br> The IoT platform receives the information of the labels dispensed from the smart containers. The score of the characterized bags were registered in the platform as explained in the next section. Attached the different data sets generated during the project. For general info, follow the link: https://plasticircle.eu/home/
DOI: 10.5281/zenodo.5720848
title: Inputs and outputs for bilayers simulations in "Accurate Simulations of Lipid Monolayers Require a Water Model With Correct Surface Tension"

description: Inputs and outputs file for simulations of POPC and DPPC Bilayers at various temperatures. For details see:
DOI: 10.5281/zenodo.5720847
title: Inputs and outputs for bilayers simulations in "Accurate Simulations of Lipid Monolayers Require a Water Model With Correct Surface Tension"

description: Inputs and outputs file for simulations of POPC and DPPC Bilayers at various temperatures. For details see:
DOI: 10.5281/zenodo.5729181
title: Assembly of human HG002 (GM24385) ONT Q20+ Simplex dataset generated by phasebook

description: This is assembly of human HG002 (GM24385) dataset generated by phasebook. The raw sequencing data is from : October 2021 GM24385 Q20+ Simplex Dataset Release. Reads from 4 flowcells were used. https://labs.epi2me.io/gm24385_q20_2021.10/?
DOI: 10.5281/zenodo.5729180
title: Assembly of human HG002 (GM24385) ONT Q20+ Simplex dataset generated by phasebook

description: This is assembly of human HG002 (GM24385) dataset generated by phasebook. The raw sequencing data is from : October 2021 GM24385 Q20+ Simplex Dataset Release. Reads from 4 flowcells were used. https://labs.epi2me.io/gm24385_q20_2021.10/?
DOI: 10.5281/zenodo.5702281
title: Massive IoT for Large-Scale Public Events in the 5GENESIS Surrey Platform

description: This dataset contains the results of the trials conducted within the context of the main IoT use case of the 5GENESIS Surrey Platform.
DOI: 10.5281/zenodo.5702280
title: Massive IoT for Large-Scale Public Events in the 5GENESIS Surrey Platform

description: This dataset contains the results of the trials conducted within the context of the main IoT use case of the 5GENESIS Surrey Platform.
DOI: 10.5281/zenodo.5729219
title: Digitalizaciones de 1956 y 2017 en el tramo del río Duero entre Toro y Zamora

description: Capas vectoriales (en formato shapefile) de las digitalizaciones realizadas dentro del Territorio Fluvial del río Duero entre Toro y Zamora, tanto para el año 1956 como para el año 2017: hábitats, cauce activo, riberas topográficas y riberas funcionales. Estas capas se han empleado en la caracterización hidromorfológica del área de estudio del proyecto DRAINAGE.
description: This research was funded by the project DRAINAGE, CGL2017–83546–C3–R (MINECO/AEI/FEDER,UE), and it is specifically part of the assessments carried out under the coverage of the sub–project DRAINAGE–2–R (CGL2017–83546–C3–2–R).
DOI: 10.5281/zenodo.5729218
title: Digitalizaciones de 1956 y 2017 en el tramo del río Duero entre Toro y Zamora

description: Capas vectoriales (en formato shapefile) de las digitalizaciones realizadas dentro del Territorio Fluvial del río Duero entre Toro y Zamora, tanto para el año 1956 como para el año 2017: hábitats, cauce activo, riberas topográficas y riberas funcionales. Estas capas se han empleado en la caracterización hidromorfológica del área de estudio del proyecto DRAINAGE.
description: This research was funded by the project DRAINAGE, CGL2017–83546–C3–R (MINECO/AEI/FEDER,UE), and it is specifically part of the assessments carried out under the coverage of the sub–project DRAINAGE–2–R (CGL2017–83546–C3–2–R).
DOI: 10.6084/m9.figshare.17085842
title: Supplementary Material for: Echocardiographic Findings and Genotypes in Autosomal Dominant Polycystic Kidney Disease

description: <b><i>Background:</i></b> Autosomal dominant polycystic kidney disease (ADPKD) is the most common hereditary cystic kidney disease and is well known to have extrarenal complications. Cardiovascular complications are of particular clinical relevance because of their morbidity and mortality; however, unclear is why they occur so frequently in patients with ADPKD and whether they are related to the genotypes. <b><i>Methods:</i></b> We extracted and retrospectively analyzed clinical data on patients with ADPKD who underwent echocardiography and whose genotype was confirmed by genetic testing between April 2016 and December 2020. We used next-generation sequencing to compare cardiac function, structural data, and the presence of cardiac valvular disease in patients with 1 of 3 genotypes: <i>PKD1</i>, <i>PKD2</i>, and non-<i>PKD1</i>, <i>2</i>. <b><i>Results:</i></b> This retrospective study included 65 patients with ADPKD. Patients were divided into 3 groups: <i>PKD1</i>, <i>n</i> = 32; <i>PKD2</i>, <i>n</i> = 12; and non-<i>PKD1</i>, <i>2</i>, <i>n</i> = 21. The prevalence of mitral regurgitation (MR) was significantly higher in the <i>PKD1</i> group than in the <i>PKD2</i> and non-<i>PKD1</i>, <i>2</i> group (46.9% vs. 8.3% vs. 19.0%, respectively; <i>p</i> = 0.02). In contrast, no significant difference was found for other cardiac valve complications. <b><i>Conclusion:</i></b> This study found a significantly higher prevalence of MR in patients with the <i>PKD1</i> genotype than in those with the <i>PKD2</i> or non-<i>PKD1</i>, <i>2</i> genotypes. Physicians may need to perform echocardiography earlier and more frequently in patients with ADPKD and the <i>PKD1</i> genotype and to control fluid volume and blood pressure more strictly in these patients to prevent future cardiac events.
DOI: 10.6084/m9.figshare.17085827
title: Invisible Learning Disabilities. (Responses) - Form Responses.pdf

description: A survey conducted in Kigali, Rwanda, to understand the level of awareness on specific learning disabilities. These responses are elaborate more on what they know or don't know.
DOI: 10.6084/m9.figshare.17085827.v1
title: Invisible Learning Disabilities. (Responses) - Form Responses.pdf

description: A survey conducted in Kigali, Rwanda, to understand the level of awareness on specific learning disabilities. These responses are elaborate more on what they know or don't know.
DOI: 10.5281/zenodo.5729201
title: Digitalizaciones históricas del río Duero en el meandro de Argañas (Zamora)

description: Capas vectoriales (en formato shapefile) de los hábitats digitalizados dentro del Territorio Fluvial del río Duero en el meandro de Argañas (río Duero aguas arriba de Zamora), correspondientes a los años 1945, 1956, 1977, 1997 y 2017. Estas capas se han empleado en el estudio diacrónico de las trayectorias de cambio en el sistema río-llanura de inundación, que fue publicado en la revista Restoration Ecology: https://onlinelibrary.wiley.com/doi/10.1111/rec.13434
description: This research was funded by the project DRAINAGE, CGL2017–83546–C3–R (MINECO/AEI/FEDER,UE), and it is specifically part of the assessments carried out under the coverage of the sub–project DRAINAGE–2–R (CGL2017–83546–C3–2–R).
DOI: 10.5281/zenodo.5729200
title: Digitalizaciones históricas del río Duero en el meandro de Argañas (Zamora)

description: Capas vectoriales (en formato shapefile) de los hábitats digitalizados dentro del Territorio Fluvial del río Duero en el meandro de Argañas (río Duero aguas arriba de Zamora), correspondientes a los años 1945, 1956, 1977, 1997 y 2017. Estas capas se han empleado en el estudio diacrónico de las trayectorias de cambio en el sistema río-llanura de inundación, que fue publicado en la revista Restoration Ecology: https://onlinelibrary.wiley.com/doi/10.1111/rec.13434
description: This research was funded by the project DRAINAGE, CGL2017–83546–C3–R (MINECO/AEI/FEDER,UE), and it is specifically part of the assessments carried out under the coverage of the sub–project DRAINAGE–2–R (CGL2017–83546–C3–2–R).
DOI: 10.5517/ccdc.csd.cc21zskd
title: CCDC 1906424: Experimental Crystal Structure Determination

description: Related Article: Andrew J. Peloquin, Daniel A. Kure, Abby R. Jennings, Colin D. McMillen, Scott T. Iacono, William T. Pennington|2020|Cryst.Growth Des.|20|5484|doi:10.1021/acs.cgd.0c00689
DOI: 10.5517/ccdc.csd.cc225n97
title: CCDC 1912058: Experimental Crystal Structure Determination

description: Related Article: Andrew J. Peloquin, Daniel A. Kure, Abby R. Jennings, Colin D. McMillen, Scott T. Iacono, William T. Pennington|2020|Cryst.Growth Des.|20|5484|doi:10.1021/acs.cgd.0c00689
DOI: 10.5517/ccdc.csd.cc24yp71
title: CCDC 1994733: Experimental Crystal Structure Determination

description: Related Article: Andrew J. Peloquin, Daniel A. Kure, Abby R. Jennings, Colin D. McMillen, Scott T. Iacono, William T. Pennington|2020|Cryst.Growth Des.|20|5484|doi:10.1021/acs.cgd.0c00689
DOI: 10.5517/ccdc.csd.cc24yp82
title: CCDC 1994734: Experimental Crystal Structure Determination

description: Related Article: Andrew J. Peloquin, Daniel A. Kure, Abby R. Jennings, Colin D. McMillen, Scott T. Iacono, William T. Pennington|2020|Cryst.Growth Des.|20|5484|doi:10.1021/acs.cgd.0c00689
DOI: 10.5517/ccdc.csd.cc24yp93
title: CCDC 1994735: Experimental Crystal Structure Determination

description: Related Article: Andrew J. Peloquin, Daniel A. Kure, Abby R. Jennings, Colin D. McMillen, Scott T. Iacono, William T. Pennington|2020|Cryst.Growth Des.|20|5484|doi:10.1021/acs.cgd.0c00689
DOI: 10.5517/ccdc.csd.cc24ypb4
title: CCDC 1994736: Experimental Crystal Structure Determination

description: Related Article: Andrew J. Peloquin, Daniel A. Kure, Abby R. Jennings, Colin D. McMillen, Scott T. Iacono, William T. Pennington|2020|Cryst.Growth Des.|20|5484|doi:10.1021/acs.cgd.0c00689
DOI: 10.5517/ccdc.csd.cc24ypc5
title: CCDC 1994737: Experimental Crystal Structure Determination

description: Related Article: Andrew J. Peloquin, Daniel A. Kure, Abby R. Jennings, Colin D. McMillen, Scott T. Iacono, William T. Pennington|2020|Cryst.Growth Des.|20|5484|doi:10.1021/acs.cgd.0c00689
DOI: 10.5517/ccdc.csd.cc24ypd6
title: CCDC 1994738: Experimental Crystal Structure Determination

description: Related Article: Andrew J. Peloquin, Daniel A. Kure, Abby R. Jennings, Colin D. McMillen, Scott T. Iacono, William T. Pennington|2020|Cryst.Growth Des.|20|5484|doi:10.1021/acs.cgd.0c00689
DOI: 10.5517/ccdc.csd.cc24ypf7
title: CCDC 1994739: Experimental Crystal Structure Determination

description: Related Article: Andrew J. Peloquin, Daniel A. Kure, Abby R. Jennings, Colin D. McMillen, Scott T. Iacono, William T. Pennington|2020|Cryst.Growth Des.|20|5484|doi:10.1021/acs.cgd.0c00689
DOI: 10.5517/ccdc.csd.cc24ypg8
title: CCDC 1994740: Experimental Crystal Structure Determination

description: Related Article: Andrew J. Peloquin, Daniel A. Kure, Abby R. Jennings, Colin D. McMillen, Scott T. Iacono, William T. Pennington|2020|Cryst.Growth Des.|20|5484|doi:10.1021/acs.cgd.0c00689
DOI: 10.5517/ccdc.csd.cc24yph9
title: CCDC 1994741: Experimental Crystal Structure Determination

description: Related Article: Andrew J. Peloquin, Daniel A. Kure, Abby R. Jennings, Colin D. McMillen, Scott T. Iacono, William T. Pennington|2020|Cryst.Growth Des.|20|5484|doi:10.1021/acs.cgd.0c00689
DOI: 10.5517/ccdc.csd.cc24ypjb
title: CCDC 1994742: Experimental Crystal Structure Determination

description: Related Article: Andrew J. Peloquin, Daniel A. Kure, Abby R. Jennings, Colin D. McMillen, Scott T. Iacono, William T. Pennington|2020|Cryst.Growth Des.|20|5484|doi:10.1021/acs.cgd.0c00689
DOI: 10.5517/ccdc.csd.cc24ypkc
title: CCDC 1994743: Experimental Crystal Structure Determination

description: Related Article: Andrew J. Peloquin, Daniel A. Kure, Abby R. Jennings, Colin D. McMillen, Scott T. Iacono, William T. Pennington|2020|Cryst.Growth Des.|20|5484|doi:10.1021/acs.cgd.0c00689
DOI: 10.5517/ccdc.csd.cc24ypld
title: CCDC 1994744: Experimental Crystal Structure Determination

description: Related Article: Andrew J. Peloquin, Daniel A. Kure, Abby R. Jennings, Colin D. McMillen, Scott T. Iacono, William T. Pennington|2020|Cryst.Growth Des.|20|5484|doi:10.1021/acs.cgd.0c00689
DOI: 10.5517/ccdc.csd.cc24ypmf
title: CCDC 1994745: Experimental Crystal Structure Determination

description: Related Article: Andrew J. Peloquin, Daniel A. Kure, Abby R. Jennings, Colin D. McMillen, Scott T. Iacono, William T. Pennington|2020|Cryst.Growth Des.|20|5484|doi:10.1021/acs.cgd.0c00689
DOI: 10.5517/ccdc.csd.cc24nmxc
title: CCDC 1986043: Experimental Crystal Structure Determination

description: Related Article: Andrew J. Peloquin, Daniel A. Kure, Abby R. Jennings, Colin D. McMillen, Scott T. Iacono, William T. Pennington|2020|Cryst.Growth Des.|20|5484|doi:10.1021/acs.cgd.0c00689
DOI: 10.5517/ccdc.csd.cc25tq5x
title: CCDC 2020709: Experimental Crystal Structure Determination

description: Related Article: Jianmin Jiao, Baobao Sun, Yihan Ding, Hao Zheng, Yue Zhao, Juli Jiang, Chen Lin, Leyong Wang|2020|Org.Lett.|22|8984|doi:10.1021/acs.orglett.0c03385
DOI: 10.5517/ccdc.csd.cc25tylk
title: CCDC 2020939: Experimental Crystal Structure Determination

description: Related Article: Inés Mármol, Sara Montanel-Perez, José Carlos Royo, M. Concepción Gimeno, M. Dolores Villacampa, M. Jesús Rodríguez-Yoldi, Elena Cerrada|2020|Inorg.Chem.|59|17732|doi:10.1021/acs.inorgchem.0c02922
DOI: 10.5281/zenodo.5729206
title: Metadata of " Stability of Selected Hydrogen Bonded Semiconductors in Organic Electronic Devices"

description: Metadata of " Stability of Selected Hydrogen Bonded Semiconductors in Organic Electronic Devices"
DOI: 10.5281/zenodo.5729205
title: Metadata of " Stability of Selected Hydrogen Bonded Semiconductors in Organic Electronic Devices"

description: Metadata of " Stability of Selected Hydrogen Bonded Semiconductors in Organic Electronic Devices"
DOI: 10.25345/c5t292
title: MassIVE MSV000088456 - Myelodysplasic syndrome ARSA AREB
title: 1234567890 1234567890 1234567890 1234567890 1234567890 1234567890 1234567890
DOI: 10.6084/m9.figshare.17078357
title: The hidden genomic diversity of ciliated protists revealed by single-cell genome sequencing

description: The supplementary data of<strong> </strong>this study, Including the output of comparative genomics statistics, sequences of single-copy orthologue genes, single-gene alignments, and dataset used for figures and additional files.
DOI: 10.5281/zenodo.5729161
title: A Near-Infrared-II Emissive Chromium(III) Complex

description: Electronic data accompanying the publication in <em>Angew. Chem. Int. Ed.</em> <strong>2021</strong>, <em>60</em>, 23722-23728; https://onlinelibrary.wiley.com/doi/10.1002/anie.202106398
DOI: 10.5281/zenodo.5729160
title: A Near-Infrared-II Emissive Chromium(III) Complex

description: Electronic data accompanying the publication in <em>Angew. Chem. Int. Ed.</em> <strong>2021</strong>, <em>60</em>, 23722-23728; https://onlinelibrary.wiley.com/doi/10.1002/anie.202106398
DOI: 10.25345/c5p00q
title: MassIVE MSV000088457 - Myelodusplasic syndrome ARSA AREB
title: 1234567890 1234567890 1234567890 1234567890 1234567890 1234567890 1234567890 1234567890 1234567890 1234567890 1234567890 1234567890 1234567890 1234567890
DOI: 10.5281/zenodo.5724585
title: C³ONTEXT: A Common Consensus on Convective OrgaNizaTion during the EUREC⁴A eXperimenT (data)

description: This dataset contains the manual cloud classifications of the EUREC4A field campaign time period as well as the post-processed data. The dataset is organised as following: <strong>zooniverse_raw:</strong> Originial output data from the platform zooniverse.org which has been used to create the classifications <strong>processed_data:</strong> <strong>Level1: EUREC4A_ManualClassifications_l1.nc:</strong> Geographical and Cartesian coordinates are added to each label <strong>Level2: EUREC4A_ManualClassifications_l2.zarr</strong>: labels are converted to masks and combined for each classification <strong>Level3: EUREC4A_ManualClassifications_l3_$WORKFLOW_$COMPOSITE.zarr</strong>: pixel-agreement among users/classifiers on each of the four meso-scale cloud patterns for daily composites and individual scenes. An example how to use the data can be found at github.com/observingClouds/EUREC4A_manualclassifications.
DOI: 10.18743/data.00175
title: Interview with Mary Heffernan recorded via Zencaster on 06.04.2021

description: Mary talks about growing up in Terranure, Dublin in the 1980s. She describes her school life, the close female friendships and socialising she enjoyed as a teenager. She recalls many examples of how girls and boys were treated differently and describes how she learnt about sex, sexuality and contraception. Mary recalls meeting her husband and falling in love and the thrill of going to university at UCD. Her best friend Mark was gay and Mary described how she felt more seen and heard with her gay male friends than in straight male spaces. Mary described the way the psychology department at UCD was dominated by the clergy; she recounted her battle with the department to do psychology with history rather than double psychology. She gave many examples of her close relationship with her father; his belief in her and his empathy for her as a woman and a mother. She reflected on her own intellectual development in learning Irish history in Dublin and in London and some of the assumptions she had encountered about different historical understandings of Irish history and revisionism.
description: Tá Úna Gan A Gúna Irish Women’s Oral History Project Interviews with a range of women born in Ireland during the twentieth century or those with Irish connections. The aim was to gather the stories, memories and opinions of Irish women born in each decade of the twentieth century, about their experiences between the approximate ages of 15 and 25. The sample was found simply through women with whom volunteer interviewers had a connection or through Irish organisations. Interviews were recorded and participants checked and approved the transcripts and recordings. See website https://unaganaguna.org/
DOI: 10.25934/pr00006483
title: Evaluation of available statistical methods performance under non-proportional hazards

description: The analyses of this study will help to further build an understanding of the performance of different statistical methods for analysing randomised clinical trials where the outcome is the time until some event, e.g. cancer recurrence, death. We will apply currently available statistical methods to compare their statistical properties. Based on this investigation we will be able to make recommendations about which statistical methods are most appropriate to analyse such data. This will enable analyses to give a better description of how treatment effects change over time and may also enable trials to require fewer patients, leading to cost savings and new efficacious drugs being made available to patients faster.