cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13049951
title: Where and how do young people like to get their Sexual and Reproductive health information?

description: Participants were enrolled from Higher Learning Institutions (HLIs) within Mbeya region in any year of study, if they were Tanzanians, aged 18-24 years and agreed to provide written informed consent prior to all study-related procedures. The study team used an individual self-administered questionnaire using a tablet or smart phone through a web-based software (ODK) or hard copy, which ever method the participant preferred. Pre-testing of the questionnaire was done on few HLI students from a nearby region prior to data collection; and any emerging issues from the pre-testing were factored in to revise the questionnaire in a more practical manner. The questionnaire was divided into sections, and collected information on socio-demographics (age, religion, marital status, year of study at HLI, highest academic level before current HLI, type of secondary school attended, permanent residence and source of financial support); Sexual and Reproductive health (ability to discuss sexual matters with a parent/guardian, learning about sexual matters and Sexual and Reproductive health information gap during early sexual experience).The web-based software (ODK) was designed with smart checks for incomplete or ambiguous responses, and responses through the hard copy questionnaire were reviewed for completeness at the end of each day by the Research Assistant. Data was cleaned and analysed using statistical software Stata version 14 for Windows (<i>Statacorp, College Station, TX 77845, USA</i>). Data was summarised descriptively using percentages and/or proportions for categorical variables, mean and respective measure of dispersion for numerical variables. Complete study information was given to all eligible participants and the ones who agreed to participate, signed an informed consent form prior to any study related activity. Ethical approval was granted by the Mbeya Medical Research and Ethics Review Committee, Kilimanjaro Christian Medical College Research Ethics and Review Committee, and National Health Research Ethics Committee. Only participant’s study identification number was used in the questionnaire.
DOI: 10.6084/m9.figshare.13049951.v1
title: Where and how do young people like to get their Sexual and Reproductive health information?

description: Participants were enrolled from Higher Learning Institutions (HLIs) within Mbeya region in any year of study, if they were Tanzanians, aged 18-24 years and agreed to provide written informed consent prior to all study-related procedures. The study team used an individual self-administered questionnaire using a tablet or smart phone through a web-based software (ODK) or hard copy, which ever method the participant preferred. Pre-testing of the questionnaire was done on few HLI students from a nearby region prior to data collection; and any emerging issues from the pre-testing were factored in to revise the questionnaire in a more practical manner. The questionnaire was divided into sections, and collected information on socio-demographics (age, religion, marital status, year of study at HLI, highest academic level before current HLI, type of secondary school attended, permanent residence and source of financial support); Sexual and Reproductive health (ability to discuss sexual matters with a parent/guardian, learning about sexual matters and Sexual and Reproductive health information gap during early sexual experience).The web-based software (ODK) was designed with smart checks for incomplete or ambiguous responses, and responses through the hard copy questionnaire were reviewed for completeness at the end of each day by the Research Assistant. Data was cleaned and analysed using statistical software Stata version 14 for Windows (<i>Statacorp, College Station, TX 77845, USA</i>). Data was summarised descriptively using percentages and/or proportions for categorical variables, mean and respective measure of dispersion for numerical variables. Complete study information was given to all eligible participants and the ones who agreed to participate, signed an informed consent form prior to any study related activity. Ethical approval was granted by the Mbeya Medical Research and Ethics Review Committee, Kilimanjaro Christian Medical College Research Ethics and Review Committee, and National Health Research Ethics Committee. Only participant’s study identification number was used in the questionnaire.
DOI: 10.5281/zenodo.4066678
title: Data set from Ciconte G, Santinelli V, Vicedomini G, Borrelli V, Monasky MM, Micaglio E, Giannelli L, Negro G, Giordano F, Mecarocci V, Mazza BC, Locati E, Anastasia L, Calovic Z, Pappone C. Non-invasive assessment of the arrhythmogenic substrate in Brugada syndrome using signal-averaged electrocardiogram: clinical implications from a prospective clinical trial. Europace. 2019 Dec 1;21(12):1900-1910. doi: 10.1093/europace/euz295. PMID: 31647530.

description: Data set from Ciconte G, Santinelli V, Vicedomini G, Borrelli V, Monasky MM, Micaglio E, Giannelli L, Negro G, Giordano F, Mecarocci V, Mazza BC, Locati E, Anastasia L, Calovic Z, Pappone C. Non-invasive assessment of the arrhythmogenic substrate in Brugada syndrome using signal-averaged electrocardiogram: clinical implications from a prospective clinical trial. Europace. 2019 Dec 1;21(12):1900-1910. doi: 10.1093/europace/euz295. PMID: 31647530. This is the abstract: <strong>Aims: </strong> Brugada syndrome (BrS) represents a major cause of sudden cardiac death in young individuals. The risk stratification to forecast future life-threatening events is still controversial. Non-invasive assessment of late potentials (LPs) has been proposed as a risk stratification tool. However, their nature in BrS is still undetermined. The purpose of this study is to assess the electrophysiological determinants of non-invasive LPs. <strong>Methods and results: </strong> Two hundred and fifty consecutive patients with (Group 1, n = 96) and without (Group 2, n = 154) BrS-related symptoms were prospectively enrolled in the registry. Signal-averaged electrocardiogram (SAECG) was performed in all subjects before undergoing epicardial mapping. Group 1 patients exhibited larger arrhythmogenic substrates (AS; 5.8 ± 2.8 vs. 2.6 ± 2.1 cm2, P &lt; 0.001) with more delayed potentials (220.4 ± 46.0 vs. 186.7 ± 42.3 ms, P &lt; 0.001). Late potentials were present in 82/96 (85.4%) Group 1 and in 31/154 (20.1%) Group 2 individuals (P &lt; 0.001). Patients exhibiting LPs had more frequently a spontaneous Type 1 pattern (30.1% vs. 10.9%, P &lt; 0.001), SCN5A mutation (34.5% vs. 21.2%, P = 0.02), and exhibited a larger AS with longer potentials (5.8 ± 2.7 vs. 2.2 ± 1.7 cm2; 231.2 ± 37.3 vs. 213.8 ± 39.0 ms; P &lt; 0.001, respectively). Arrhythmogenic substrate dimension was the strongest predictor of the presence of LPs (odds ratio 1.9; P &lt; 0.001). An AS area of at least 3.5 cm2 identified patients with LPs (area under the curve 0.88, 95% confidence interval 0.843-0.931; P &lt; 0.001) with a sensitivity of 86%, specificity 88%, positive predictive value 85%, and negative predictive value 89%. <strong>Conclusion: </strong> The results of this study support the role of the epicardial AS as an electrophysiological determinant of non-invasive LPs, which may serve as a tool in the non-invasive assessment of the BrS substrate, as SAECG-LPs could be considered an expression of the abnormal epicardial electrical activity. ClinicalTrials.gov number (NCT02641431; NCT03106701).
DOI: 10.5281/zenodo.4066677
title: Data set from Ciconte G, Santinelli V, Vicedomini G, Borrelli V, Monasky MM, Micaglio E, Giannelli L, Negro G, Giordano F, Mecarocci V, Mazza BC, Locati E, Anastasia L, Calovic Z, Pappone C. Non-invasive assessment of the arrhythmogenic substrate in Brugada syndrome using signal-averaged electrocardiogram: clinical implications from a prospective clinical trial. Europace. 2019 Dec 1;21(12):1900-1910. doi: 10.1093/europace/euz295. PMID: 31647530.

description: Data set from Ciconte G, Santinelli V, Vicedomini G, Borrelli V, Monasky MM, Micaglio E, Giannelli L, Negro G, Giordano F, Mecarocci V, Mazza BC, Locati E, Anastasia L, Calovic Z, Pappone C. Non-invasive assessment of the arrhythmogenic substrate in Brugada syndrome using signal-averaged electrocardiogram: clinical implications from a prospective clinical trial. Europace. 2019 Dec 1;21(12):1900-1910. doi: 10.1093/europace/euz295. PMID: 31647530. This is the abstract: <strong>Aims: </strong> Brugada syndrome (BrS) represents a major cause of sudden cardiac death in young individuals. The risk stratification to forecast future life-threatening events is still controversial. Non-invasive assessment of late potentials (LPs) has been proposed as a risk stratification tool. However, their nature in BrS is still undetermined. The purpose of this study is to assess the electrophysiological determinants of non-invasive LPs. <strong>Methods and results: </strong> Two hundred and fifty consecutive patients with (Group 1, n = 96) and without (Group 2, n = 154) BrS-related symptoms were prospectively enrolled in the registry. Signal-averaged electrocardiogram (SAECG) was performed in all subjects before undergoing epicardial mapping. Group 1 patients exhibited larger arrhythmogenic substrates (AS; 5.8 ± 2.8 vs. 2.6 ± 2.1 cm2, P &lt; 0.001) with more delayed potentials (220.4 ± 46.0 vs. 186.7 ± 42.3 ms, P &lt; 0.001). Late potentials were present in 82/96 (85.4%) Group 1 and in 31/154 (20.1%) Group 2 individuals (P &lt; 0.001). Patients exhibiting LPs had more frequently a spontaneous Type 1 pattern (30.1% vs. 10.9%, P &lt; 0.001), SCN5A mutation (34.5% vs. 21.2%, P = 0.02), and exhibited a larger AS with longer potentials (5.8 ± 2.7 vs. 2.2 ± 1.7 cm2; 231.2 ± 37.3 vs. 213.8 ± 39.0 ms; P &lt; 0.001, respectively). Arrhythmogenic substrate dimension was the strongest predictor of the presence of LPs (odds ratio 1.9; P &lt; 0.001). An AS area of at least 3.5 cm2 identified patients with LPs (area under the curve 0.88, 95% confidence interval 0.843-0.931; P &lt; 0.001) with a sensitivity of 86%, specificity 88%, positive predictive value 85%, and negative predictive value 89%. <strong>Conclusion: </strong> The results of this study support the role of the epicardial AS as an electrophysiological determinant of non-invasive LPs, which may serve as a tool in the non-invasive assessment of the BrS substrate, as SAECG-LPs could be considered an expression of the abnormal epicardial electrical activity. ClinicalTrials.gov number (NCT02641431; NCT03106701).
DOI: 10.6084/m9.figshare.12815240
title: CC-BY Surrey data for: The alkali degradation of LDPE-based radiation-grafted anion-exchange membranes studied using different ex situ methods

description: Excel file containing the raw data in support of the data collected at the University of Surrey
DOI: 10.6084/m9.figshare.12815240.v1
title: CC-BY Surrey data for: The alkali degradation of LDPE-based radiation-grafted anion-exchange membranes studied using different ex situ methods

description: Excel file containing the raw data in support of the data collected at the University of Surrey
DOI: 10.6073/pasta/039546bbe5c39b1ce3d098f47a961232
title: Density Anomalies in White Pine at Harvard Forest 2019

description: The density of wood is a primary determinant of the amount of carbon sequestered in forests. For boreal and Mediterranean ecosystems, anomalies from the typical intra-annual density increase in radial growth of conifers are predominantly related to drought. We took 41 wood samples at breast height, ten additional samples near branches, and seven samples from the top of 41 white pines to determine the spatial distribution of density anomalies throughout the stem. We measured the ring width, density anomaly presence, position within a ring, and arc of density anomalies at multiple heights. Even in a mesic forest density anomalies in white pine are predominantly occurring during drier growing seasons. Moreover, we examined the spatial extent of density anomalies within the stems of white pines and discovered density anomalies are more likely to occur near branches, at the top of the tree, and in wider rings. Furthermore, the position of the density anomalies within the rings was remarkably consistent with the anomalies occurring roughly 80% into the fully formed ring at all heights for high-frequency years only as well as all years Density anomalies seem to be triggered by exogenous factors but their distribution within the stem varies along endogenous gradients, thus better understanding these systematic anomalies can help us to understand how wood formation has reacted and will respond to the environment and changes therein.
DOI: 10.5281/zenodo.4028768
title: Pico-meter resolution structure of the coordination sphere in the metal-binding site in a metalloprotein by NMR

description: NMR datasets and pulse sequences used in the paper
DOI: 10.5281/zenodo.4028767
title: Pico-meter resolution structure of the coordination sphere in the metal-binding site in a metalloprotein by NMR

description: NMR datasets and pulse sequences used in the paper
DOI: 10.5517/ccdc.csd.cc25c5lb
title: CCDC 2006741: Experimental Crystal Structure Determination

description: Related Article: Annika Münch, Lena Knauer, Holger Ott, Christian Sindlinger, Regine Herbst-Irmer, Carsten Strohmann, Dietmar Stalke|2020|J.Am.Chem.Soc.|142|15897|doi:10.1021/jacs.0c06035
DOI: 10.5517/ccdc.csd.cc25c5mc
title: CCDC 2006742: Experimental Crystal Structure Determination

description: Related Article: Annika Münch, Lena Knauer, Holger Ott, Christian Sindlinger, Regine Herbst-Irmer, Carsten Strohmann, Dietmar Stalke|2020|J.Am.Chem.Soc.|142|15897|doi:10.1021/jacs.0c06035
DOI: 10.5517/ccdc.csd.cc25c5nd
title: CCDC 2006743: Experimental Crystal Structure Determination

description: Related Article: Annika Münch, Lena Knauer, Holger Ott, Christian Sindlinger, Regine Herbst-Irmer, Carsten Strohmann, Dietmar Stalke|2020|J.Am.Chem.Soc.|142|15897|doi:10.1021/jacs.0c06035
DOI: 10.5517/ccdc.csd.cc25bhfg
title: CCDC 2006085: Experimental Crystal Structure Determination

description: Related Article: Yan Li, Xiu-Fen Cheng, Fan Fei, Tian-Rui Wu, Kang-Jie Bian, Xin Zhou, Xi-Sheng Wang|2020|Chem.Commun.|56|11605|doi:10.1039/D0CC05219A
DOI: 10.5517/ccdc.csd.cc2503ht
title: CCDC 1996105: Experimental Crystal Structure Determination

description: Related Article: Weiwei Lv, Yanhui Chen, Si Wen, Dan Ba, Guolin Cheng|2020|J.Am.Chem.Soc.|142|14864|doi:10.1021/jacs.0c07634
DOI: 10.5517/ccdc.csd.cc25c940
title: CCDC 2006851: Experimental Crystal Structure Determination

description: Related Article: Guangpeng Xu, Jinbao Wu, Luyang Li, Yunan Lu, Chao Li|2020|J.Am.Chem.Soc.|142|15240|doi:10.1021/jacs.0c06717
DOI: 10.5517/ccdc.csd.cc25c951
title: CCDC 2006852: Experimental Crystal Structure Determination

description: Related Article: Guangpeng Xu, Jinbao Wu, Luyang Li, Yunan Lu, Chao Li|2020|J.Am.Chem.Soc.|142|15240|doi:10.1021/jacs.0c06717
DOI: 10.5517/ccdc.csd.cc25c962
title: CCDC 2006853: Experimental Crystal Structure Determination

description: Related Article: Guangpeng Xu, Jinbao Wu, Luyang Li, Yunan Lu, Chao Li|2020|J.Am.Chem.Soc.|142|15240|doi:10.1021/jacs.0c06717
DOI: 10.5517/ccdc.csd.cc1j52d5
title: CCDC 1405056: Experimental Crystal Structure Determination

description: Related Article: Khaireddine Ezzayani, Arbia Ben Khelifa, Fadia Ben Taheur, Mouhieddinne Guergueb, Anissa Mansour, Jean-Claude Daran, Habib Nasri|2021|Inorg.Chim.Acta|514|119960|doi:10.1016/j.ica.2020.119960
DOI: 10.5517/ccdc.csd.cc25yg0m
title: CCDC 2024300: Experimental Crystal Structure Determination

description: Related Article: D. Budzikur, P. Szklarz, V. Kinzhybalo, K.A. Ślepokura|2020|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|76|939|doi:10.1107/S2052520620011439
DOI: 10.5517/ccdc.csd.cc25yg1n
title: CCDC 2024301: Experimental Crystal Structure Determination

description: Related Article: D. Budzikur, P. Szklarz, V. Kinzhybalo, K.A. Ślepokura|2020|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|76|939|doi:10.1107/S2052520620011439
DOI: 10.5517/ccdc.csd.cc25yg3q
title: CCDC 2024303: Experimental Crystal Structure Determination

description: Related Article: D. Budzikur, P. Szklarz, V. Kinzhybalo, K.A. Ślepokura|2020|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|76|939|doi:10.1107/S2052520620011439
DOI: 10.5517/ccdc.csd.cc261r34
title: CCDC 2027465: Experimental Crystal Structure Determination

description: Related Article: Johannes Morstein, Denis Höfler, Kohei Ueno, Jonah W. Jurss, Ryan R. Walvoord, Kevin J. Bruemmer, Samir P. Rezgui, Thomas F. Brewer, Minoru Saitoe, Brian W. Michel, Christopher J. Chang|2020|J.Am.Chem.Soc.|142|15917|doi:10.1021/jacs.0c06405
DOI: 10.5517/ccdc.csd.cc261r45
title: CCDC 2027466: Experimental Crystal Structure Determination

description: Related Article: Johannes Morstein, Denis Höfler, Kohei Ueno, Jonah W. Jurss, Ryan R. Walvoord, Kevin J. Bruemmer, Samir P. Rezgui, Thomas F. Brewer, Minoru Saitoe, Brian W. Michel, Christopher J. Chang|2020|J.Am.Chem.Soc.|142|15917|doi:10.1021/jacs.0c06405
DOI: 10.5517/ccdc.csd.cc266kqq
title: CCDC 2032103: Experimental Crystal Structure Determination

description: Related Article: M. Stapf, W. Seichter, M. Mazik|2020|Acta Crystallogr.,Sect.E:Cryst.Commun.|76|1679|doi:10.1107/S2056989020012554
DOI: 10.5517/ccdc.csd.cc266krr
title: CCDC 2032104: Experimental Crystal Structure Determination

description: Related Article: M. Stapf, W. Seichter, M. Mazik|2020|Acta Crystallogr.,Sect.E:Cryst.Commun.|76|1679|doi:10.1107/S2056989020012554
DOI: 10.5517/ccdc.csd.cc26772s
title: CCDC 2032734: Experimental Crystal Structure Determination

description: Related Article: H.C. Gardner, A.R. Kennedy, K.M. McCarney, E. Staunton, H. Stewart, S.J. Teat|2020|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|76|972|doi:10.1107/S2053229620012735
DOI: 10.5517/ccdc.csd.cc26773t
title: CCDC 2032735: Experimental Crystal Structure Determination

description: Related Article: H.C. Gardner, A.R. Kennedy, K.M. McCarney, E. Staunton, H. Stewart, S.J. Teat|2020|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|76|972|doi:10.1107/S2053229620012735
DOI: 10.5517/ccdc.csd.cc26774v
title: CCDC 2032736: Experimental Crystal Structure Determination

description: Related Article: H.C. Gardner, A.R. Kennedy, K.M. McCarney, E. Staunton, H. Stewart, S.J. Teat|2020|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|76|972|doi:10.1107/S2053229620012735
DOI: 10.6084/m9.figshare.13050164
title: Evolution and diversification of the nuclear envelope

description: Output from searches, including trees, alignments and tabulated data. Data are depssited in behalf of my coauthors Norma E. Padilla-Mejia, Alexandr Makarov, Lael D. Barlow, and Erin R. Butterfield.
DOI: 10.6084/m9.figshare.13050164.v1
title: Evolution and diversification of the nuclear envelope

description: Output from searches, including trees, alignments and tabulated data. Data are depssited in behalf of my coauthors Norma E. Padilla-Mejia, Alexandr Makarov, Lael D. Barlow, and Erin R. Butterfield.
DOI: 10.5281/zenodo.4066712
title: Data and analysis scripts associated with the paper 'The Importance of Environment and Mutational History on Evolution of HIV-1 in a Long-Term Experiment'

description: <em>Eva Bons, Christine Leemann, Karin J. Metzner, Roland R. Regoes</em> This repository contains all the data and analysis scripts associated with the paper 'The Importance of Environment and Mutational History on Evolution of HIV-1 in a Long-Term Experiment' See the readme after unpacking the .zip for a description of the files
DOI: 10.5281/zenodo.4066405
title: NwQM: A neural quality assessment framework for Wikipedia

description: This contains the datasets we used for implementing "NwQM: A neural quality assessment framework for Wikipedia". "wikipages.csv" contains the text page content, talk page content, and the quality for each page. "sample_wiki_images.zip" contains the screenshots for a sample of pages. "finetuned_inceptionv3_model.h5" is the InceptionV3 model finetuned on Wikipedia. "finetuned_inceptionv3_embeddings.json" contains the finetuned InceptionV3 embeddings of each image generated from finetuned_inceptionv3_model.h5.
DOI: 10.5281/zenodo.4066404
title: NwQM: A neural quality assessment framework for Wikipedia

description: This contains the datasets we used for implementing "NwQM: A neural quality assessment framework for Wikipedia". "wikipages.csv" contains the text page content, talk page content, and the quality for each page. "sample_wiki_images.zip" contains the screenshots for a sample of pages. "finetuned_inceptionv3_model.h5" is the InceptionV3 model finetuned on Wikipedia. "finetuned_inceptionv3_embeddings.json" contains the finetuned InceptionV3 embeddings of each image generated from finetuned_inceptionv3_model.h5.
DOI: 10.18462/iir.iccc.2020.296311
title: Considerations for emissions test methodology for diesel-engine driven transport refrigeration systems.
DOI: 10.5281/zenodo.4066555
title: Secondary succession over semi-natural grassland communities in the Pyrenees mountain range

description: Raster images to monitor the spatial evolution of secondary succession over semi-natural grassland communities in the Pyrenees mountain range in Spain, during the last 36 years (1984-2019).
DOI: 10.26015/adwdocs-31
title: Ortsdaten mit Bistumszugehörigkeit um 1500: Tabellarische Übersicht (csv-Format, UTF 8)
DOI: 10.20348/storedb/1160/1235
title: TERRITORIES LIBRARY DATABASE
title: Fukushima, tests site 1, soil

description: The purpose of the TERRITORIES Library Database (TLD) is to provide a repository for measurements of environmental activity concentrations and dose rates that have been made at sites contaminated with radioactive material. The intention is to use these measurements to investigate the effectiveness of different monitoring strategies for characterising the contamination at a site and if possible to show the impact of any attempted remediation. In addition, the data held in the TLD can be used to validate models and to investigate the improvements in predictive power obtained through model development.
description: Test site 1 in Fukushima. Soil concentrations derived from airborne measurements
DOI: 10.25380/iastate.12287951
title: Improving the outcomes of prairie restorations within croplands database

description: This database contains information from Lydia English's Masters Thesis at Iowa State University. The data come from vegetation surveys performed in the summers of 2018 and 2019 on farms across the state of Iowa that have implemented prairie strips. Prairie strips are a farming conservation practice whereby native, prairie habitat is planted within or at the edge of crop fields. By incorporating the deep roots and stiff stems of native prairie vegetation, prairie strips not only provide increased water infiltration, erosion control, and nutrient export from crop fields, but they also provide Iowa with much needed habitat for pollinators, birds, and other native taxa. <br>The database contains 5 tables:i) all_site_info.csv - General information about each site visited throughout the study<br>ii) strips.csv - Area and perimeter of each prairie strip ii) quadrats.csv - Anonymized location of all quadrats (sampling points) in every site iv) vegetation.csv - Cover data (species abundance) recorded at every quadrat in every sitev) species_list.csv - Taxonomic and life-history information for all the plant species identified throughout the study <br>More detailed descriptions of the data collection process can be found in the README file. Descriptions of the variables in each table can be found in data_dictionary.csv.<b><br></b><b>Change log:</b> <i>Phalaris arundinacea</i> was changed from 'native' to 'introduced' and scientific names were updated to reflect current classifications.