cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5371489.v1
title: Course of subject participation

description: Definition of subject's participation within the Phys-Stroke Trial. Subjects are categorized in Screening failures, per Protocol subjects, withdrawal from Treatment and Lost-to-follow-up.
DOI: 10.6084/m9.figshare.5371477.v1
title: Datasets and R codes: An empirical test of the relative and combined effects of land-cover and climate change on local colonization and extinction

description: This fileset includes the R code and associated data used in Yalcin & Leroux (in review).<br><br>Yalcin S., Leroux S.J. (in review). An empirical test of the relative and combined effects of land-cover and climate change on local colonization and extinction.<br> Thanks to all data providers:Ontario Breeding Bird Atlas (Bird Studies Canada, Canadian Wildlife Service, Federation of Ontario Naturalists, Ontario Field Ornithologists, and Ontario Ministry of Natural Resources) for supplying Atlas data, and to the thousands of volunteer participants who gathered data for the project, and Cadman <i>et al. </i>(1987; 2007);Natural Resource Canada and McKenney <i>et al</i>. (2011) for supplying climate data;Global Forest Watch Canada and Lee (2007) for publicly sharing datasets of anthropogenic changes;Food and Agriculture Organization of the United Nations and Bai <i>et al</i>. (2008) for publicly sharing data of net primary productivity changes. <br>The raw datasets can be found: <b>Ontario Breeding Bird Atlas</b>:Website: http://www.birdsontario.org/atlas/index.jspCadman M. D., Eagles, P. F. J., Helleiner, F. M. (Eds.) (1987) <i>Atlas of Breeding Birds of Ontario 1980-1985</i>. Waterloo, Canada: University of Waterloo Press.Cadman M. D., Sutherland, D. A., Beck G. G., Lepage D., Couturier, A. R. (Eds.) (2007) <i>Atlas of Breeding Birds of Ontario 2001-2005. </i>Toronto, Canada: Bird Studies Canada, Environment Canada, Ontario Field Ornithologists, Ontario Ministry of Natural Resources, Ontario Nature.<b>Climate data:</b><br>McKenney, D. W., Hutchinson, M. F., Papadopol, P. <i>et al</i>., (2011) Customized spatial climate models for North America. <i>Bulletin of the American Meteorological Society</i>, <b>92</b>, 1611-1622.<br><b>Global Forest Watch Canada:</b>Website: http://www.globalforestwatch.ca/data/20101210ALee P. (2007)<i> Recent Anthropogenic Changes within the Boreal Forests of Ontario and Their Potential Impacts on Woodland Caribou (A Global Forest Watch Canada Report)</i>. Edmonton, Canada: Global Forest Watch Canada.<b>Changes in net primary productivity:</b>Bai Z., Dent D., Olsson L., Schaepman M. (2008) Proxy global assessment of land degradation. <i>Soil Use and Management</i>, <b>24</b>, 223–234.
DOI: 10.6084/m9.figshare.5371393
title: Appendix C - Conceptual Metaphor/Metonymy Analysis

description: These are the Excel files of my conceptual metaphor/metonymy analysis of a corpus of alcoholism blogs.
DOI: 10.6084/m9.figshare.5371396
title: ASaiM workflow to analyze raw metagenomic sequences

description: The main workflow of ASaiM, an open-source opinionated Galaxy-based framework for microbiota analysis.This workflow takes as input a dataset of raw shotgun sequences (in FastQ format) from microbiota, preprocess it (yellow boxes), extracts taxonomic (red boxes) and functional (purple boxes) assignations and combines them (green boxes).
DOI: 10.6084/m9.figshare.5371393.v1
title: Appendix C - Conceptual Metaphor/Metonymy Analysis

description: These are the Excel files of my conceptual metaphor/metonymy analysis of a corpus of alcoholism blogs.
DOI: 10.6084/m9.figshare.5371390
title: Appendix B - Linguistic Metaphor/Metonymy Analysis

description: The MIPVU of a corpus of alcoholism blogs.
DOI: 10.6084/m9.figshare.5371381
title: Swan Tracks + Trackway, Anglesey. Photos and photogrammetric models.

description: Two models of swan footprints left in estuary sediment (soft mud/sand). Original photo sets included, along with additional photos of the trackmaker and environment.<br>
DOI: 10.6084/m9.figshare.5371345
title: Busch et al._Does the background matter_Data

description: Dataset for the manuscript: Does the background matter?
DOI: 10.6084/m9.figshare.5371390.v1
title: Appendix B - Linguistic Metaphor/Metonymy Analysis

description: The MIPVU of a corpus of alcoholism blogs.
DOI: 10.6084/m9.figshare.5371345.v1
title: Busch et al._Does the background matter_Data

description: Dataset for the manuscript: Does the background matter?
DOI: 10.6084/m9.figshare.5371381.v1
title: Swan Tracks + Trackway, Anglesey. Photos and photogrammetric models.

description: Two models of swan footprints left in estuary sediment (soft mud/sand). Original photo sets included, along with additional photos of the trackmaker and environment.<br>
DOI: 10.6084/m9.figshare.5371396.v2
title: ASaiM workflow to analyze raw sequences

description: The main workflow of ASaiM, an open-source opinionated Galaxy-based framework for microbiota analysis.This workflow takes as input a dataset of raw shotgun sequences (in FastQ format) from microbiota, preprocess it (yellow boxes), extracts taxonomic (red boxes) and functional (purple boxes) assignations and combines them (green boxes).
DOI: 10.6084/m9.figshare.5371198
title: Molecular Phylogeny of genus Horaglanis (Indian Blind catfishes) within the family Clariidae

description: This data included Cytochrome c oxidase subunit I gene data for 14 species of Clariidae family. This data set has NJ tree file in Newick format.<br>
DOI: 10.6084/m9.figshare.5371033
title: Data from: Gale et al., "Comparative Responses of Early-Successional Plants to Charcoal Soil Amendments". 2017. Ecosphere. DOI:10.1002/ecs2.1933

description: Ecophysiological responses - biomass (above and belowground and leaf area), nutrition (soil and leaf), reproduction (flowering time and biomass), leaf area growth, and gas exchange (photosynthesis, stomatal conductance, water use efficiency) - of 13 early successional species to maple sawdust charcoal soil amendments. To be used with the R code provided in Supplementary files: DataS2 of Gale et al. 2017 Ecosphere DOI:10.1002/ecs2.1933.This dataset contains the following files: 1. Gale_2017_Charcoal_Meta.csv2. Gale_2017_Charcoal_earlyleafarea.csv3. Gale_2017_Charcoal_FoliarNutrient.csv4. Gale_2017_Charcoal_lategrowth.csv5. Gale_2017_Charcoal_Regressions10.csv6. Gale_2017_Charcoal_Regressions20.csv7. Gale_2017_Charcoal_abutilon.csv8. Gale_2017_Charcoal_tanacetum.csv9. Gale_2017_Charcoal_mentha.csv10.Gale_2017_Charcoal_solidago.csv11. Gale_2017_Charcoal_trifolium.csv
DOI: 10.6084/m9.figshare.5371198.v1
title: Molecular Phylogeny of genus Horaglanis (Indian Blind catfishes) within the family Clariidae

description: This data included Cytochrome c oxidase subunit I gene data for 14 species of Clariidae family. This data set has NJ tree file in Newick format.<br>
DOI: 10.6084/m9.figshare.5371033.v1
title: Data from: Gale et al., "Comparative Responses of Early-Successional Plants to Charcoal Soil Amendments". 2017. Ecosphere. DOI:10.1002/ecs2.1933

description: Ecophysiological responses - biomass (above and belowground and leaf area), nutrition (soil and leaf), reproduction (flowering time and biomass), leaf area growth, and gas exchange (photosynthesis, stomatal conductance, water use efficiency) - of 13 early successional species to maple sawdust charcoal soil amendments. To be used with the R code provided in Supplementary files: DataS2 of Gale et al. 2017 Ecosphere DOI:10.1002/ecs2.1933.This dataset contains the following files: 1. Gale_2017_Charcoal_Meta.csv2. Gale_2017_Charcoal_earlyleafarea.csv3. Gale_2017_Charcoal_FoliarNutrient.csv4. Gale_2017_Charcoal_lategrowth.csv5. Gale_2017_Charcoal_Regressions10.csv6. Gale_2017_Charcoal_Regressions20.csv7. Gale_2017_Charcoal_abutilon.csv8. Gale_2017_Charcoal_tanacetum.csv9. Gale_2017_Charcoal_mentha.csv10.Gale_2017_Charcoal_solidago.csv11. Gale_2017_Charcoal_trifolium.csv
DOI: 10.6084/m9.figshare.5371024
title: Turing the microbiome

description: Data files and source code for the my blog post.
DOI: 10.6084/m9.figshare.5370937
title: Active and resting motor threshold are efficiently obtained with adaptive threshold hunting

description: 4 tabs, each with the data from all 15 participants pertaining to RR and ML-PEST methods for RMT and AMT.
DOI: 10.6084/m9.figshare.5371024.v1
title: Turing the microbiome

description: Data files and source code for the my blog post.
DOI: 10.6084/m9.figshare.5370799
title: Model results and graphs.xlsx

description: Data associated with the journal: Water quality modelling of an impacted semi-arid catchment using flow data from the WEAP model Andrew R. Slaughter and Sukhmani K. Mantel. Proc. IAHS, 94, 1–9, 2017https://doi.org/10.5194/piahs-94-1-2017<br>
DOI: 10.6084/m9.figshare.5370121

description: Climate change and indian agriculture<br>
DOI: 10.6084/m9.figshare.5370799.v1
title: Model results and graphs.xlsx

description: Data associated with the journal: Water quality modelling of an impacted semi-arid catchment using flow data from the WEAP model Andrew R. Slaughter and Sukhmani K. Mantel. Proc. IAHS, 94, 1–9, 2017https://doi.org/10.5194/piahs-94-1-2017<br>
DOI: 10.6084/m9.figshare.5369038
title: Dataset for empirically estimated pCO2 for the Southern Ocean: RFR and SVR

description: ORGANISATION: Council for Scientific and Industrial Research, South Africa. <br>This dataset accompanies the Biogeosciences publication: Empirical methods for the estimation of Southern Ocean CO<sub>2</sub>: Support Vector and Random Forest Regression.<br>The dataset contains two netCDF files: support vector regression and random forest regression estimates of ∆pCO<sub>2</sub> for the Southern Ocean.
DOI: 10.6084/m9.figshare.5368987
title: Fig.1A1 (293T infection with HIV)

description: Infection assay of 293T cells transiently expressing huTRIM5alpha R332G-R335G
DOI: 10.6084/m9.figshare.5369038.v1
title: Biogeosciences-2017-215

description: This dataset accompanies the Biogeosciences publication: Empirical methods for the estimation of Southern Ocean CO<sub>2</sub>: Support Vector and Random Forest Regression.<br>The dataset contains two netCDF files: support vector regression and random forest regression estimates of ∆pCO<sub>2</sub> for the Southern Ocean.
DOI: 10.6084/m9.figshare.5369038.v2
title: Empirically estimated pCO2 for the Southern Ocean: RFR and SVR

description: ORGANISATION: Council for Scientific and Industrial Research, South Africa. <br>This dataset accompanies the Biogeosciences publication: Empirical methods for the estimation of Southern Ocean CO<sub>2</sub>: Support Vector and Random Forest Regression.<br>The dataset contains two netCDF files: support vector regression and random forest regression estimates of ∆pCO<sub>2</sub> for the Southern Ocean.
DOI: 10.6084/m9.figshare.5368882
title: Whole Genome Sequencing of Corpasome Aunt

description: Genomic DNA from hair roots of my deceased Aunt was purified, fragmented and its DNA library prepared and sequenced on a Illumina HiSeq with a sequencing configuration of 2×150 paired ends (PE). <br>To our knowledge, this is the first time a Direct-to-consumer experiment is conducted to sequence the genome of a dead relative. The purpose of this study includes:<br>- To diagnose my Aunt’s likely genome mutations that might have contributed to her demise, a melanoma which took her 4 years ago- To understand how the genome of the dead can inform those of the living<br>In terms of the consent to perform this experiment, she already performed a 23andMe test which she consented to put online and research has been performed on this dataset.<br>In addition, the sample from which the DNA was purified, 36 hairs from a comb of hers, was provided with the consent from her next of kin, my uncle, who gave the sample for her sequencing.<br>
DOI: 10.6084/m9.figshare.5368987.v1
title: Supp Fig 2 (raw FACS data)

description: Infection assay of 293T cells transiently expressing huTRIM5alpha R332G-R335G
DOI: 10.6084/m9.figshare.5368846
title: Data for Biodiversity and ecosystem functioning relations in European forests depend on environmental context (10.1111/ele.12849)

description: The data includes measurements of 26 ecosystem functions measured in 209 forest plots across Europe associated with the Ecology Letters publication "Biodiversity and ecosystem functioning relations in European forests depend on environmental context"
DOI: 10.6084/m9.figshare.5368882.v1
title: Whole Genome Sequencing of Corpasome Aunt

description: Genomic DNA from hair roots of my deceased Aunt was purified, fragmented and its DNA library prepared and sequenced on a Illumina HiSeq with a sequencing configuration of 2×150 paired ends (PE). <br>To our knowledge, this is the first time a Direct-to-consumer experiment is conducted to sequence the genome of a dead relative. The purpose of this study includes:<br>- To diagnose my Aunt’s likely genome mutations that might have contributed to her demise, a melanoma which took her 4 years ago- To understand how the genome of the dead can inform those of the living<br>In terms of the consent to perform this experiment, she already performed a 23andMe test which she consented to put online and research has been performed on this dataset.<br>In addition, the sample from which the DNA was purified, 36 hairs from a comb of hers, was provided with the consent from her next of kin, my uncle, who gave the sample for her sequencing.<br>
DOI: 10.6084/m9.figshare.5368987.v2
title: Fig.4 A1

description: Infection assay of 293T cells transiently expressing huTRIM5alpha R332G-R335G
DOI: 10.21954/ou.rd.5368810
title: Bridging the gap: students' responses to online materials to equip graduate entrants to a law degree with essential subject knowledge and skills

description: This file set is the basis of a project in which Stephanie Pywell from The Open University Law School created and evaluated some online teaching materials – <i><b>Fundamentals of Law</b> </i>(FoLs) – to fill a gap in the knowledge of graduate entrants to the Bachelor of Laws (LLB) programme. These students are granted exemption from the Level 1 law modules, from which they would normally acquire the basic knowledge of legal principles and methods that is essential to success in higher-level study. The materials consisted of 12 <b>sessions</b> of learning, each covering one key topic from a Level 1 law module.<br>The dataset includes a Word document that consists of the text of a five-question, multiple-choice Moodle poll, together with the coding for each response option.<br>The rest of the dataset consists of spreadsheets and outputs from SPSS and Excel showing the analyses that were conducted on the cleaned and anonymised data to ascertain students' use of, and views on, the teaching materials, and to explore any statistical association between students' studying of the materials and their academic success on Level 2 law modules, W202 and W203.<br><br>Students were asked to complete the Moodle poll at the end of every session of study, of which there were 1,013. Only one answer from each of the 240 respondents was retained for Questions 3, 4 and 5, to avoid skewing the data. Some data are presented as percentages of the number of sessions studied; some are presented as percentages of the number of respondents, and some are presented as percentage of the number of respondents who meet specific criteria.<br>Student identifiers, which have been removed to ensure anonymity, are as follows: Open University Computer User code (OUCU) and Personal Identifier (PI). These were used to collate the output from the Moodle poll with students' Level 2 module results.
DOI: 10.6084/m9.figshare.5368987.v3
title: Fig.4 A1 (transduced 293T infection with HIV)

description: Infection assay of 293T cells transiently expressing huTRIM5alpha R332G-R335G
DOI: 10.6084/m9.figshare.5368747
title: Dump of LOD.Springer.com - 27 July 2017

description: Metadata about conference proceedings published at Springer available as LOD. As of 27th of July 2017, the portal contains data about 8,965 conferences (which are grouped into 1,646 conference series), and 10,093 conference proceedings, published by Springer since 1973. Previously available at DataHub at https://old.datahub.io/dataset/lod-for-conferences-in-computer-science
DOI: 10.21954/ou.rd.5368810.v1
title: Bridging the gap: students' responses to online materials to equip graduate entrants to a law degree with essential subject knowledge and skills

description: This file set is the basis of a project in which Stephanie Pywell from The Open University Law School created and evaluated some online teaching materials – <i><b>Fundamentals of Law</b> </i>(FoLs) – to fill a gap in the knowledge of graduate entrants to the Bachelor of Laws (LLB) programme. These students are granted exemption from the Level 1 law modules, from which they would normally acquire the basic knowledge of legal principles and methods that is essential to success in higher-level study. The materials consisted of 12 <b>sessions</b> of learning, each covering one key topic from a Level 1 law module.<br>The dataset includes a Word document that consists of the text of a five-question, multiple-choice Moodle poll, together with the coding for each response option.<br>The rest of the dataset consists of spreadsheets and outputs from SPSS and Excel showing the analyses that were conducted on the cleaned and anonymised data to ascertain students' use of, and views on, the teaching materials, and to explore any statistical association between students' studying of the materials and their academic success on Level 2 law modules, W202 and W203.<br><br>Students were asked to complete the Moodle poll at the end of every session of study, of which there were 1,013. Only one answer from each of the 240 respondents was retained for Questions 3, 4 and 5, to avoid skewing the data. Some data are presented as percentages of the number of sessions studied; some are presented as percentages of the number of respondents, and some are presented as percentage of the number of respondents who meet specific criteria.<br>Student identifiers, which have been removed to ensure anonymity, are as follows: Open University Computer User code (OUCU) and Personal Identifier (PI). These were used to collate the output from the Moodle poll with students' Level 2 module results.
DOI: 10.6084/m9.figshare.5368987.v5
title: Fig.1A1 (293T infection with HIV)

description: Infection assay of 293T cells transiently expressing huTRIM5alpha R332G-R335G
DOI: 10.6084/m9.figshare.5368987.v4
title: Fig.4 A1 (293T infection with HIV)

description: Infection assay of 293T cells transiently expressing huTRIM5alpha R332G-R335G
DOI: 10.6084/m9.figshare.5368747.v2
title: Dump of LOD.Springer.com - 27 July 2017

description: Metadata about conference proceedings published at Springer available as LOD. As of 27th of July 2017, the portal contains data about 8,965 conferences (which are grouped into 1,646 conference series), and 10,093 conference proceedings, published by Springer since 1973. Previously available at DataHub at https://old.datahub.io/dataset/lod-for-conferences-in-computer-science
DOI: 10.15131/shef.data.5368669
title: EC H2020 Annotated DMP Template

description: These are an annotated data management plan (DMP) templates for European Commission Horizon 2020 Programme (H2020) data management plans.<br>These documents (available in .pdf and .docx formats) were created using the DMPonline tool, which provides templates for structuring major research funders' DMPs. The documents include the guidance text provided in the tool, produced by the Digital Curation Centre (DCC), the EC H2020 programme and the University of Sheffield Library.<br>The Commission is running a flexible pilot under Horizon 2020 called the Open Research Data Pilot (ORD pilot). Projects participating in the pilot must submit an initial version of the DMP, as a deliverable within the first 6 months of the project. The DMP needs to be updated over the course of the project whenever significant changes arise. <br>For further information see Guidelines on FAIR Data Management in Horizon 2020, the Participant Portal H2020 Online Manual and the OpenAIRE guidance How to create a DMP Plan. <br>The DCC provide guidance on Data management Plans and How to Develop a Data Management and Sharing Plan.
DOI: 10.6084/m9.figshare.5368747.v1
title: lodspringerdump-20170727162848109.zip

description: Metadata about conference proceedings published at Springer available as LOD. As of 27th of July 2017, the portal contains data about 8,965 conferences (which are grouped into 1,646 conference series), and 10,093 conference proceedings, published by Springer since 1973. Previously available at DataHub at https://old.datahub.io/dataset/lod-for-conferences-in-computer-science
DOI: 10.6084/m9.figshare.5368585
title: Supplementary Material for: Smoking Trajectories during the Perinatal Period and Their Risk Factors: The Nationally Representative French ELFE (Etude Longitudinale Française Depuis l'Enfance) Birth Cohort Study

description: <strong><em>Background:</em></strong> In France, rates of perinatal smoking are among the highest worldwide; however, perinatal smoking trajectories and associated factors have still not been adequately researched. <b><i>Methods:</i></b> Among women participating in the French nationally representative etude longitudinale française depuis l'enfance birth cohort (<i>n</i> = 15,540), perinatal smoking trajectories were estimated using group-based modelling. Associated characteristics were studied using multinomial logistic regression. <b><i>Results:</i></b> Four trajectories were identified: non-smokers (59%), quitters (20%), persistent moderate (12%) and persistent heavy (9%) smokers. Older age, being native French, low socioeconomic position, persistent psychological difficulties and alcohol use in pregnancy, lack of social support, partner's smoking, mistimed pregnancy, and child formula feeding at birth were associated with persistent heavy smoking. Most of these factors were also associated, but to a lesser extent, with persistent moderate smoking, except for age and migrant status, which had opposite effects. Women who successfully lost weight prior to pregnancy had higher levels of quitting smoking. <b><i>Conclusion:</i></b> Women's long-term smoking trajectories vary in terms of initial tobacco consumption level but also in relation to socio-demographic, psychological, behavioral and partner characteristics. Health professionals in contact with pregnant smokers should address perceived risks and benefits of smoking, including partner's smoking and weight-gain concerns.