cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18743/data.00078
title: Interview with Dorothy Duffy in Twickenham, England recorded on 08.05.2018.

description: Emily Moss interviewed her mother, Dorothy Duffy. Dorothy’s interview tells a story of growing up as the youngest of 10 children in a West of Ireland family where the experience of love, loyalty and fun were set against the backdrop of significant family dysfunction and conflict with her father. This is underscored with rich commentary on the impact and prevalence more broadly of the restrictive and oppressive influences of the catholic church. There is reference to an experience of child sexual abuse from outside the family and protection from within, as well as physical abuse both at home and at school. Education and academic achievement gets particular prominence. What is described as a liberating move from Ireland to London in the late 70s includes some critical reflection on the attitudes of the time to being Irish in England. Further travel includes time spent in Australia and New Zealand. Her early ambition for and success in nursing, alongside Dorothy’s love and talent for theatre are strong themes as are settling in London and ‘growing’ a family. Additional note: During the Covid 19 pandemic Dorothy’s sister Billy, referenced in the transcript and previously interviewed for this oral history project ‘passed away’ in a UK residential home. Billy became the subject of a poem written by Dorothy to commemorate her life and death, and the circumstances of her passing. Recordings of Dorothy reciting said poem were widely distributed in the summer of 2020 across media outlets in the UK, Ireland and the US.
description: Tá Úna Gan A Gúna Irish Women’s Digital 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: 10.5281/zenodo.4153495
title: 123

description: Hellow world2!
DOI: 10.5281/zenodo.4147240
title: 123

description: Hellow world2!
DOI: 10.18743/data.00064
title: Interview with Rose Mitchell known as Billy Mitchell in Twickenham, England recorded on 23.04.2018.

description: Dorothy Duffy interviewed her elder sister, Billy. The interview was about Billy from ages fifteen to twenty five and encapsulated her experience of growing up the second eldest in a family of ten. Her role as the 'girl' in the family helping to raise the younger children as they came along – the impact on her education – the genesis of a love for children and family. A free spirited teenager who always found a way to break out of the constraints of the time (1940s) and always had a rose tinted view of most things including her parents.
description: Tá Úna Gan A Gúna Irish Women’s Digital 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: 10.5281/zenodo.4153506
title: GiantSteps+ EDM Key Dataset

description: <em>The GiantSteps+ EDM Key Dataset</em> includes 600 two-minute sound excerpts from various EDM subgenres, annotated with single-key labels. This dataset focus in problematic Beatport excerpts, so it is biased, but it is interesting to test the robustness of key recognition systems. These 600 tracks have been analysed by Daniel G. Camhi and Ángel Faraldo, providing pitch-class set descriptions, key and modal changes, comments and confidence levels for the individual tracks. This dataset is a revision of the original GiantSteps Key Dataset, available in Github (&lt;https://github.com/GiantSteps/giantsteps-key-dataset&gt;) and initially described in: Knees, P., Faraldo, Á., Herrera, P., Vogl, R., Böck, S., Hörschläger, F., Le Goff, M. (2015). Two Datasets for Tempo Estimation and Key Detection in Electronic Dance Music Annotated from User Corrections. In <em>Proceedings of the 16th International Society for Music Information Retrieval Conference</em>, 364–370. Málaga, Spain. The original audio samples belong to online audio snippets from Beatport, an online music store for DJ's and Electronic Dance Music Producers (&lt;http:\\www.beatport.com&gt;). If this dataset were used in further research, we would appreciate the citation of the current DOI (10.5281/zenodo.1101082) and the following doctoral dissertation, where a detailed description of the properties of this dataset can be found: Ángel Faraldo (2017). <em>Tonality Estimation in Electronic Dance Music: A Computational and Musically Informed Examination.</em> PhD Thesis. Universitat Pompeu Fabra, Barcelona.
DOI: 10.5281/zenodo.1095690
title: GiantSteps+ EDM Key Dataset

description: <em>The GiantSteps+ EDM Key Dataset</em> includes 600 two-minute sound excerpts from various EDM subgenres, annotated with single-key labels. This dataset focus in problematic Beatport excerpts, so it is biased, but it is interesting to test the robustness of key recognition systems. These 600 tracks have been analysed by Daniel G. Camhi and Ángel Faraldo, providing pitch-class set descriptions, key and modal changes, comments and confidence levels for the individual tracks. This dataset is a revision of the original GiantSteps Key Dataset, available in Github (&lt;https://github.com/GiantSteps/giantsteps-key-dataset&gt;) and initially described in: Knees, P., Faraldo, Á., Herrera, P., Vogl, R., Böck, S., Hörschläger, F., Le Goff, M. (2015). Two Datasets for Tempo Estimation and Key Detection in Electronic Dance Music Annotated from User Corrections. In <em>Proceedings of the 16th International Society for Music Information Retrieval Conference</em>, 364–370. Málaga, Spain. The original audio samples belong to online audio snippets from Beatport, an online music store for DJ's and Electronic Dance Music Producers (&lt;http:\\www.beatport.com&gt;). If this dataset were used in further research, we would appreciate the citation of the current DOI (10.5281/zenodo.1101082) and the following doctoral dissertation, where a detailed description of the properties of this dataset can be found: Ángel Faraldo (2017). <em>Tonality Estimation in Electronic Dance Music: A Computational and Musically Informed Examination.</em> PhD Thesis. Universitat Pompeu Fabra, Barcelona.
DOI: 10.5281/zenodo.4153518
title: Appendix: corpus of historic (18th-21st century) PCM texts

description: Corpus of historic (18th-21st) PCM texts analyzed for the study.
DOI: 10.5281/zenodo.4153280
title: Particle concentration data from: Long-term measurement of sub-3nm particles and their precursor gases in the boreal forest

description: The knowledge of the dynamics of sub-3nm particles in the atmosphere is crucial for our understanding of first steps of atmospheric new particle formation. Therefore, accurate and stable long-term measurements of the smallest atmospheric particles are needed. In this study, we analyzed over five years of particle concentrations in size classes 1.1–1.7 nm and 1.7–2.5 nm obtained with the Particle Size Magnifier (PSM) and three years of precursor vapor concentrations measured with the Chemical Ionization Atmospheric Pressure Interface Time-of-Flight mass spectrometer (CI-APi-ToF) at the SMEAR II station in Hyytiälä, Finland. The results show that the 1.1–1.7 nm particle concentrations have a daytime maximum during all seasons, which is due to increased photochemical activity. There are significant seasonal differences in median concentrations of 1.7–2.5 nm particles, underlining the different frequency of new particle formation between seasons. Aerosol precursor vapors have notable diurnal and seasonal differences as well. Sulfuric acid and highly oxygenated organic molecule (HOM) monomer concentrations have clear daytime maxima, while HOM dimers have their maxima during the night. HOM concentrations for both monomers and dimers are the highest during summer and the lowest during winter. Higher median concentrations during summer result from increased biogenic activity in the surrounding forest. Sulfuric acid concentrations are the highest during spring and summer, with autumn and winter concentrations being two to three times lower. A correlation analysis between the sub-3nm concentrations and aerosol precursor vapor concentrations indicates that HOMs, particularly their dimers, and sulfuric acid play a significant role in new particle formation in the boreal forest. Our analysis also suggests that there might be seasonal differences in new particle formation pathways that need to be investigated further.
description: The data here is part of the article described above: Long-term measurement of sub-3nm particles and their precursor gases in the boreal forest.
description: {"references": ["Sulo, J., Sarnela, N., Kontkanen, J., Ahonen, L., Paasonen, P., Laurila, T., Jokinen, T., Kangasluoma, J., Pet\u00e4j\u00e4, T., Kulmala, M., and Lehtipalo, K.: Long-term measurement of sub-3nm particles and their precursor gases in the boreal forest, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2020-719, in review, 2020."]}
DOI: 10.5281/zenodo.4108238
title: Particle concentration data from: Long-term measurement of sub-3nm particles and their precursor gases in the boreal forest

description: The knowledge of the dynamics of sub-3nm particles in the atmosphere is crucial for our understanding of first steps of atmospheric new particle formation. Therefore, accurate and stable long-term measurements of the smallest atmospheric particles are needed. In this study, we analyzed over five years of particle concentrations in size classes 1.1–1.7 nm and 1.7–2.5 nm obtained with the Particle Size Magnifier (PSM) and three years of precursor vapor concentrations measured with the Chemical Ionization Atmospheric Pressure Interface Time-of-Flight mass spectrometer (CI-APi-ToF) at the SMEAR II station in Hyytiälä, Finland. The results show that the 1.1–1.7 nm particle concentrations have a daytime maximum during all seasons, which is due to increased photochemical activity. There are significant seasonal differences in median concentrations of 1.7–2.5 nm particles, underlining the different frequency of new particle formation between seasons. Aerosol precursor vapors have notable diurnal and seasonal differences as well. Sulfuric acid and highly oxygenated organic molecule (HOM) monomer concentrations have clear daytime maxima, while HOM dimers have their maxima during the night. HOM concentrations for both monomers and dimers are the highest during summer and the lowest during winter. Higher median concentrations during summer result from increased biogenic activity in the surrounding forest. Sulfuric acid concentrations are the highest during spring and summer, with autumn and winter concentrations being two to three times lower. A correlation analysis between the sub-3nm concentrations and aerosol precursor vapor concentrations indicates that HOMs, particularly their dimers, and sulfuric acid play a significant role in new particle formation in the boreal forest. Our analysis also suggests that there might be seasonal differences in new particle formation pathways that need to be investigated further.
description: The data here is part of the article described above: Long-term measurement of sub-3nm particles and their precursor gases in the boreal forest.
description: {"references": ["Sulo, J., Sarnela, N., Kontkanen, J., Ahonen, L., Paasonen, P., Laurila, T., Jokinen, T., Kangasluoma, J., Pet\u00e4j\u00e4, T., Kulmala, M., and Lehtipalo, K.: Long-term measurement of sub-3nm particles and their precursor gases in the boreal forest, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2020-719, in review, 2020."]}
DOI: 10.5281/zenodo.4055178
title: Forest-Forward: Identifing future suitable areas for forestry in Indonesia, Spain, and Sweden.

description: This dataset includes the original data and modelling results used to create the interactive platform Forest-forward. These include; climatic variables (historical reanalysis ERA-5, and the future CMIP5 projections) derived from the Copernicus Climate Data Store that have been converted to 19 standard bioclimatic variables; species occurrence data for a limited number of tree species derived from GBIF; and, the results of ensemble Species Distribution Modelling (SDM) using historical and future bioclimatic variables as predictors, created using the R package biomod2 that have been assigned to a hexagonal grid for display. Code used for the full processing pipeline is available at GitHub. Data files are organised by region; Indonesia (IDN), mainland Spain (ESP), and Sweden (SWE). Bioclimatic variables are GeoTIFF files grouped per region in zipped directories representing historical reanalysis (1980-2019) and future predictions (further divided into 10 y time-intervals between 2020 and 2090). SDM results (and resampled bioclimatic variables) are supplied as CSV files with WKT geometries ("&lt;iso3&gt;_zonal_spp_uuid.csv", and "&lt;iso3&gt;_zonal_bv_uuid.csv", respectively). Species occurrence point data is supplied as a single CSV file with WKT geometries ("all_spp_occurrence.csv"); the field 'iso3' can be used to filter by region. Summaries of the total proportion of area of a country with suitable habitat for each species, and the area weighted mean of each bioclimatic variable per country are supplied as CSV files ("&lt;iso3&gt;_spp_summary_stats.csv", and "&lt;iso3&gt;_bv_summary_stats.csv", respectively).
description: This work was funded by the ECWMF contract C3S_428b_TECNALIA, see https://ted.europa.eu/udl?uri=TED:NOTICE:472276-2019:TEXT:EN:HTML
DOI: 10.5281/zenodo.4055177
title: Forest-Forward: Identifing future suitable areas for forestry in Indonesia, Spain, and Sweden.

description: This dataset includes the original data and modelling results used to create the interactive platform Forest-forward. These include; climatic variables (historical reanalysis ERA-5, and the future CMIP5 projections) derived from the Copernicus Climate Data Store that have been converted to 19 standard bioclimatic variables; species occurrence data for a limited number of tree species derived from GBIF; and, the results of ensemble Species Distribution Modelling (SDM) using historical and future bioclimatic variables as predictors, created using the R package biomod2 that have been assigned to a hexagonal grid for display. Code used for the full processing pipeline is available at GitHub. Data files are organised by region; Indonesia (IDN), mainland Spain (ESP), and Sweden (SWE). Bioclimatic variables are GeoTIFF files grouped per region in zipped directories representing historical reanalysis (1980-2019) and future predictions (further divided into 10 y time-intervals between 2020 and 2090). SDM results (and resampled bioclimatic variables) are supplied as CSV files with WKT geometries ("&lt;iso3&gt;_zonal_spp_uuid.csv", and "&lt;iso3&gt;_zonal_bv_uuid.csv", respectively). Species occurrence point data is supplied as a single CSV file with WKT geometries ("all_spp_occurrence.csv"); the field 'iso3' can be used to filter by region. Summaries of the total proportion of area of a country with suitable habitat for each species, and the area weighted mean of each bioclimatic variable per country are supplied as CSV files ("&lt;iso3&gt;_spp_summary_stats.csv", and "&lt;iso3&gt;_bv_summary_stats.csv", respectively).
description: This work was funded by the ECWMF contract C3S_428b_TECNALIA, see https://ted.europa.eu/udl?uri=TED:NOTICE:472276-2019:TEXT:EN:HTML
DOI: 10.6084/m9.figshare.7347167
title: Neural basis of somatosensory target detection - Data (fMRI)

description: Log evidence maps and Bayesian Model Selection results for the study:<br>Schröder, P., Schmidt, T. T., & Blankenburg, F. (2019). Neural basis of somatosensory target detection independent of uncertainty, relevance, and reports. <i>eLife</i>, <i>8</i>, e43410. https://doi.org/10.7554/eLife.43410.001<br><br>GLMs modelling stimulus intensity, detection probability, target detection, uncertainty, and report were compared. <br>For direct inspection of the exceedance probability maps see https://neurovault.org/collections/4496/
DOI: 10.6084/m9.figshare.7347167.v2
title: Neural basis of somatosensory target detection - Data (fMRI)

description: Log evidence maps and Bayesian Model Selection results for the study:<br>Schröder, P., Schmidt, T. T., & Blankenburg, F. (2019). Neural basis of somatosensory target detection independent of uncertainty, relevance, and reports. <i>eLife</i>, <i>8</i>, e43410. https://doi.org/10.7554/eLife.43410.001<br><br>GLMs modelling stimulus intensity, detection probability, target detection, uncertainty, and report were compared. <br>For direct inspection of the exceedance probability maps see https://neurovault.org/collections/4496/
DOI: 10.6084/m9.figshare.7347167.v1
title: Neural basis of somatosensory target detection - Data

description: Log evidence maps and Bayesian Model Selection results for the study:<br>Schröder, P., Schmidt, T. T., & Blankenburg, F. (2019). Neural basis of somatosensory target detection independent of uncertainty, relevance, and reports. <i>eLife</i>, <i>8</i>, e43410. https://doi.org/10.7554/eLife.43410.001<br><br>GLMs modelling stimulus intensity, detection probability, target detection, uncertainty, and report were compared. <br>For direct inspection of the exceedance probability maps see https://neurovault.org/collections/4496/
DOI: 10.6084/m9.figshare.12057957.v1
title: Coursera project data

description: Illumina reads for Coursera course project
DOI: 10.6084/m9.figshare.13017188
title: Galactia clade phylogeny - Dataset and Figures

description: Supplementary files to the article:<br>Luciano P. Queiroz, Ana C. S. Oliveira & Cristiane Snak<br><br>Disentangling the taxonomy of the Galactia-Camptosema-Collaea complex with new generic circumscriptions in the Galactia clade Leguminosae, Diocleae)<br><i>Neodiversity </i>13: 56-94. 2020.
DOI: 10.6084/m9.figshare.13017188.v1
title: Galactia clade phylogeny - Dataset and Figures

description: Supplementary files to the article:<br>Luciano P. Queiroz, Ana C. S. Oliveira & Cristiane Snak<br><br>Disentangling the taxonomy of the Galactia-Camptosema-Collaea complex with new generic circumscriptions in the Galactia clade Leguminosae, Diocleae)<br><i>Neodiversity </i>13: 56-94. 2020.
DOI: 10.21227/5bpm-xm78
title: Model5.1

description: MLP AE trained on clean data and augmented data.Prediction only from December.
DOI: 10.5519/qd.w86qdium
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1249 records)
DOI: 10.5281/zenodo.4153536
title: Human alpha-aminoadipic semialdehyde synthase (AASS); A Target Enabling Package

description: This work provides the early tools to develop substrate reduction inhibitors for a genetic childhood seizure disorder, with the hypothesis to target the enzyme (AASS) upstream of the defective gene (ALDH7A1) in the human lysine metabolic pathway. This TEP package includes recombinant human AASS purification protocols, structures of the AASS second domain in different states, in vitro assays to detect ligand binding (differential scanning fluorimetry) and enzyme activity (NADH formation) of human AASS, as well as initial chemical matters.
description: This document represents version 7 of the TEP datasheet and includes all updates on the project as of October 2020. For more information about TEPs and the TEP Programme, please visit https://thesgc.org/tep.
DOI: 10.5281/zenodo.1219674
title: Human alpha-aminoadipic semialdehyde synthase (AASS); A Target Enabling Package

description: This work provides the early tools to develop substrate reduction inhibitors for a genetic childhood seizure disorder, with the hypothesis to target the enzyme (AASS) upstream of the defective gene (ALDH7A1) in the human lysine metabolic pathway. This TEP package includes recombinant human AASS purification protocols, structures of the AASS second domain in different states, in vitro assays to detect ligand binding (differential scanning fluorimetry) and enzyme activity (NADH formation) of human AASS, as well as initial chemical matters.
description: This document represents version 7 of the TEP datasheet and includes all updates on the project as of October 2020. For more information about TEPs and the TEP Programme, please visit https://thesgc.org/tep.
DOI: 10.5281/zenodo.4153531
title: Dataset for Event-based architecture for enabling multi-modal reasoning on loosely coupled Linked Data services

description: Dataset with the raw UNIX timestamps for start/stop time points for each sample of each evaluated configuration as well as produced plots.
DOI: 10.5281/zenodo.4153530
title: Dataset for Event-based architecture for enabling multi-modal reasoning on loosely coupled Linked Data services

description: Dataset with the raw UNIX timestamps for start/stop time points for each sample of each evaluated configuration as well as produced plots.
DOI: 10.5258/soton/d1612
title: UKRI (RCUK) return 2019-2020 University of Southampton

description: List of articles that UoS paid for with UKRI (RCUK) OA fund monies during 1/4/2019 to 31/3/2020. Contains financial info, Grant numbers, dates of acceptance/publication, DOIs and licence details.
DOI: 10.5258/soton/d1480
title: Dataset for Toy Model of Second Harmonic Generation due to Structuring of Centrosymmetric Films

description: Dataset supports: Xu, J., Plum, E., & Savinov, V. (2020). Toy model of second harmonic generation due to structuring of centrosymmetric films. Optics Express, 28(22), 33346-33354.
DOI: 10.5281/zenodo.4153533
title: Challenges identified during inDemand in the pilot regions

description: inDemand is a new co-creation model where Healthcare organizations (Challengers) and companies (Solvers) co-develop Digital Health solutions, with the economic support of public regional funds managed by Regional funding organisations (Funders). inDemand targets to solve Challenges identified by the Healthcare organizations. The first phase focuses on the need identification by the Challenger (Healthcare organisation), who launches an internal call for challenges (i.e.needs) among the professionals in the organisation. During the inDemand project challenges were identified in three pilot regions (Murcia, Oulu and Paris) in two different iterations: Paris 1<sup>st</sup> call: 05/01/2018 to 31/01/2018 Oulu 1<sup>st</sup> call: 09/01/2018 to 28/01/2018 Murcia 1<sup>st</sup> call: 06/11/2017 to 20/11/2017 Paris 2<sup>nd</sup> call: 15/11/2018 to 31/12/2018 Oulu 2<sup>nd</sup> call: 20/09/2018 to 06/10/2018 Murcia 2<sup>nd</sup> call: 15/10/2018 to 09/11/2018 In prevision of the Call for Challenges, a questionnaire (common for the 3 pilot regions) was created to collect the most important information necessary to assess and select the challenges in each region: Responsible of the challenge (name, position, department, email, etc.): anonymised for publication in Zenodo. Title and acronym of the challenge Definition of the challenge (description of the problem, overview of the current way or working, etc.) Potential scalability of the challenge to other areas/hospitals Expected functional requirements of an ICT solution that could tackle the need Feasibility to implement ICT solutions to address the challenge The commitment of the team to be involved in the inDemand model The data collected was of a qualitative nature. It was received via electronic tool and downloaded into .docx and .pdf formats.