cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4328028
title: SKA data challenge 1

description: This contains the data associated with the Square Kilometer Array (SKA) science data challenge 1. This data is also available via the SKA website: https://astronomers.skatelescope.org/ska-science-data-challenge-1/ There is a non-peer reviewed paper outlining the data challenge and describing the data on the arxiv website: https://arxiv.org/abs/1811.10454 There is a peer reviewed paper summarising the results of all the teams that participated in the challenge on the arxiv website: https://arxiv.org/abs/2009.13346 This data set consists of: Simulated 1000 hour images at 560 MHz (B1), 1400 MHz (B2), and 9200 MHz (B5): SKAMid_*.fits Primary beam images: PrimaryBeam_*.fits Synthesized beam images: SynthesBeam_*.fits Training catalogues per frequency revealing source parameters for a small area of sky: TrainingSet_*.txt Truth catalogues for the whole sky: True_*.txt This Zenodo entry was created by Alex Clarke.
DOI: 10.21227/dg14-6t95
title: ECG data for deep transfer learning

description: Fall is a prominent issue due to its severe consequences both physically and mentally. Fall detection and prevention is a critical area of research because it can help elderly people to depend less on caregivers and allow them to live and move more independently. Using electrocardiograms (ECG) signals independently for fall detection and activity classification is a novel approach used in this paper. An algorithm has been proposed which uses pre-trained convolutional neural networks, AlexNet and GoogLeNet, as a classifier between the fall and no fall scenarios using electrocardiogram signals. The ECGs for both falling and no falling cases were obtained as part of the study using 8 volunteers. The signals are pre-processed using elliptical filter for signal noises like baseline wander and power-line interface. As feature extractors, frequency-time representations (scalograms) were obtained by applying continuous wavelet transform on the filtered ECG signals. These scalograms were used as inputs to the neural network and a significant validation accuracy of 98.08% was achieved in the first model. The trained model is able to distinguish ECG with a fall activity from an ECG with a no fall activity with an accuracy of 98.02%. For the verification of the robustness of the proposed algorithm, our experimental data set was augmented by adding two different publicly available data sets to it. The second model can classify fall, daily activities and no activities with an accuracy of 98.44%. These models were developed by transfer learning from the domain of real images to the medical images. In comparison to traditional deep learning approaches, the transfer learning not only avoids "reinventing the wheel", but also presents a lightweight solution to otherwise computationally heavy problems.
DOI: 10.21227/5wnv-xe57
title: ECG data for deep transfer learning

description: Fall is a prominent issue due to its severe consequences both physically and mentally. Fall detection and prevention is a critical area of research because it can help elderly people to depend less on caregivers and allow them to live and move more independently. Using electrocardiograms (ECG) signals independently for fall detection and activity classification is a novel approach used in this paper. An algorithm has been proposed which uses pre-trained convolutional neural networks, AlexNet and GoogLeNet, as a classifier between the fall and no fall scenarios using electrocardiogram signals. The ECGs for both falling and no falling cases were obtained as part of the study using 8 volunteers. The signals are pre-processed using elliptical filter for signal noises like baseline wander and power-line interface. As feature extractors, frequency-time representations (scalograms) were obtained by applying continuous wavelet transform on the filtered ECG signals. These scalograms were used as inputs to the neural network and a significant validation accuracy of 98.08% was achieved in the first model. The trained model is able to distinguish ECG with a fall activity from an ECG with a no fall activity with an accuracy of 98.02%. For the verification of the robustness of the proposed algorithm, our experimental data set was augmented by adding two different publicly available data sets to it. The second model can classify fall, daily activities and no activities with an accuracy of 98.44%. These models were developed by transfer learning from the domain of real images to the medical images. In comparison to traditional deep learning approaches, the transfer learning not only avoids "reinventing the wheel", but also presents a lightweight solution to otherwise computationally heavy problems.
DOI: 10.21258/1649254
title: Inventario forestale nazionale svizzero - Tabella n. 897411
DOI: 10.21258/1655398
title: Inventario forestale nazionale svizzero - Tabella n. 898743
DOI: 10.21258/1643480
title: Inventario forestale nazionale svizzero - Tabella n. 898151
DOI: 10.21258/1668835
title: Inventario forestale nazionale svizzero - Tabella n. 898846
DOI: 10.21258/1658234
title: Inventario forestale nazionale svizzero - Tabella n. 898480
DOI: 10.6084/m9.figshare.11316326
title: Code-modulated Visual Evoked Potentials

description: This dataset contains the raw acquired single-channel EEG data of 16 participants who participated in a c-VEP study, as described in the “Readme.pdf” file. This is related to the recent publication of the authors in IEEE TNSRE: <br> https://doi.org/10.1109/TNSRE.2020.3044947<br>Please cite the above paper, if the dataset is used in your research. Thank you.
DOI: 10.6084/m9.figshare.11316326.v1
title: Code-modulated Visual Evoked Potentials

description: This dataset contains the raw acquired single-channel EEG data of 16 participants who participated in a c-VEP study, as described in the “Readme.pdf” file. This is related to the recent publication of the authors in IEEE TNSRE: <br> https://doi.org/10.1109/TNSRE.2020.3044947<br>Please cite the above paper, if the dataset is used in your research. Thank you.
DOI: 10.6084/m9.figshare.12673415
title: Cryptocotyle lingua raw transcriptome assembly

description: The paired-end (100bp) Illumina read data from six <i>Cryptocotyle lingua</i> cercaria and rediae libraries (Bio-Project: PRJNA646866; BioSample: SAMN15567434, SAMN15567352; SRA accession: SRR12246812 - SRR12246817) were pooled together and used in the <i>de novo</i> assembly of a reference transcriptome using Trinity (v2.8.6) with strand-specific read orientation and a minimum contig length of 200 bp.<br>
DOI: 10.6084/m9.figshare.13386671
title: Cryptocotyle lingua curated transcriptome assembly (v1.2.2)

description: Curated assembly (mRNA: v.1.2.2) of <i>Cryptocotyle lingua</i> transcriptome was reduced by removing the low-expressed and xenogenic transcripts from the raw assembly. A local BLASTn approach was performed to filter out potential xenogenic contaminating sequences: the host-mollusk <i>Littorina littorea</i> transcriptome of hemocytes and kidney (NCBI TSA: GGCG00000000.1) and human genome. SILVA rRNA database was also used to search other potential xenogenic contaminations. Bio-Project: PRJNA646866.<br>
DOI: 10.6084/m9.figshare.13387091
title: Cryptocotyle lingua protein sequences predicted in curated transcriptome assembly (v1.2.2)

description: Annotated protein sequences predicted in the curated assembly (proteins: v.1.2.2) of <i>Cryptocotyle lingua</i> transcriptome. Bio-Project: PRJNA646866.<br>
DOI: 10.21258/1670757
title: Inventario forestale nazionale svizzero - Tabella n. 899525
DOI: 10.21258/1646477
title: Inventario forestale nazionale svizzero - Tabella n. 897214
DOI: 10.21227/5d70-mg50
title: Supplemantory materials for "Fourier Series based Analytic Model of a Resonant MEMS Mirror for General Voltage Inputs"

description: Description:
DOI: 10.6084/m9.figshare.13270325
title: Antibody and flow cytometry data following inoculation of rhesus macaques with SARS-CoV-2

description: This data record consists of a single dataset, <b>Iyer Source data.xlsx</b>, in .<b>xlsx</b> file format. The file includes all the antibody and flow cytometry data supporting the figures and supplementary figures in the related article. The file consists of 11 tabs labelled Figure 1, Figure 2, Figure 3, Figure 4, Figure 5, Figure 6, Figure 7, S1, S2, S3 and S5.<br> <b>Study aims and methodology:</b> CD4 T follicular helper (Tfh) cells are important for the generation of durable and specific humoral protection against viral infections. The degree to which SARS-CoV-2 infection generates Tfh cells and stimulates the germinal center (GC) response is an important question as we investigate vaccine options for the current pandemic. Because healthy rhesus macaques infected with SARS-CoV-2 resist immediate re-challenge with the virus, the authors hypothesized that understanding the CD4 Tfh and GC response following exposure to SARS-CoV-2 will provide a framework for understanding immune mechanisms of protection. The authors tested this hypothesis in the setting of a study designed to examine the therapeutic efficacy of convalescent plasma infusion in curbing a nascent infection. They conducted a comprehensive immune analysis in a controlled animal model of mild diseases, in order to add to our understanding of immune responses to SARS-CoV-2. Eight colony-bred Indian origin rhesus macaques (Macaca mulatta) were housed at the California National Primate Research Center and maintained in accordance with American Association for Accreditation of Laboratory Animal Care guidelines and Animal Welfare Act/Guide. The study received ethical approval by the Institutional Animal Care and Use Committee at UC Davis and research personnel and animal staff complied with all relevant ethical regulations for animal testing and research. The following are described in more detail in the related article: Virus and inoculations, Convalescent plasma and infusions, Specimen collection and processing, Activation induced Marker (AIM) assay, vRNA quantitation by quantitative real time polymerase chain reaction (qRT-PCR), Serum cytokines, Flow cytometry and immunofluorescent staining, Binding antibody multiplex assay (BAMA) for IgG and IgM antibodies to S1, S2 and N proteins, ELISA for SARS-specific IgA and antibodies to RBD, Pseudovirus neutralization assay, and statistical analysis.
DOI: 10.21227/a3hq-3g64
title: Supplemantory materials for "Fourier Series based Analytic Model of a Resonant MEMS Mirror for General Voltage Inputs"

description: Description:
DOI: 10.6084/m9.figshare.13270325.v1
title: Antibody and flow cytometry data following inoculation of rhesus macaques with SARS-CoV-2

description: This data record consists of a single dataset, <b>Iyer Source data.xlsx</b>, in .<b>xlsx</b> file format. The file includes all the antibody and flow cytometry data supporting the figures and supplementary figures in the related article. The file consists of 11 tabs labelled Figure 1, Figure 2, Figure 3, Figure 4, Figure 5, Figure 6, Figure 7, S1, S2, S3 and S5.<br> <b>Study aims and methodology:</b> CD4 T follicular helper (Tfh) cells are important for the generation of durable and specific humoral protection against viral infections. The degree to which SARS-CoV-2 infection generates Tfh cells and stimulates the germinal center (GC) response is an important question as we investigate vaccine options for the current pandemic. Because healthy rhesus macaques infected with SARS-CoV-2 resist immediate re-challenge with the virus, the authors hypothesized that understanding the CD4 Tfh and GC response following exposure to SARS-CoV-2 will provide a framework for understanding immune mechanisms of protection. The authors tested this hypothesis in the setting of a study designed to examine the therapeutic efficacy of convalescent plasma infusion in curbing a nascent infection. They conducted a comprehensive immune analysis in a controlled animal model of mild diseases, in order to add to our understanding of immune responses to SARS-CoV-2. Eight colony-bred Indian origin rhesus macaques (Macaca mulatta) were housed at the California National Primate Research Center and maintained in accordance with American Association for Accreditation of Laboratory Animal Care guidelines and Animal Welfare Act/Guide. The study received ethical approval by the Institutional Animal Care and Use Committee at UC Davis and research personnel and animal staff complied with all relevant ethical regulations for animal testing and research. The following are described in more detail in the related article: Virus and inoculations, Convalescent plasma and infusions, Specimen collection and processing, Activation induced Marker (AIM) assay, vRNA quantitation by quantitative real time polymerase chain reaction (qRT-PCR), Serum cytokines, Flow cytometry and immunofluorescent staining, Binding antibody multiplex assay (BAMA) for IgG and IgM antibodies to S1, S2 and N proteins, ELISA for SARS-specific IgA and antibodies to RBD, Pseudovirus neutralization assay, and statistical analysis.
DOI: 10.5281/zenodo.4337092
title: Data archive for the peer-reviewed journal article "Detailed characterization of the CAPS single scattering albedo monitor (CAPS PMssa) as a field-deployable instrument for measuring aerosol light absorption with the extinction-minus-scattering method"

description: Data archive accompanying the peer-reviewed journal article "Detailed characterization of the CAPS single scattering albedo monitor (CAPS PMssa) as a field-deployable instrument for measuring aerosol light absorption with the extinction-minus-scattering method". In 2020 this article was accepted for publication in the journal <em>Atmospheric Measurement Techniques</em>. Data are uploaded in the form of ascii text files, Igor Pro experiment files (.pxp), and Jupyter notebook files. In addition, a Jupyter notebook file is included containing an implementation of the error model used in the paper.
DOI: 10.21258/1630133
title: Inventario forestale nazionale svizzero - Tabella n. 891694
DOI: 10.5281/zenodo.4337091
title: Data archive for the peer-reviewed journal article "Detailed characterization of the CAPS single scattering albedo monitor (CAPS PMssa) as a field-deployable instrument for measuring aerosol light absorption with the extinction-minus-scattering method"

description: Data archive accompanying the peer-reviewed journal article "Detailed characterization of the CAPS single scattering albedo monitor (CAPS PMssa) as a field-deployable instrument for measuring aerosol light absorption with the extinction-minus-scattering method". In 2020 this article was accepted for publication in the journal <em>Atmospheric Measurement Techniques</em>. Data are uploaded in the form of ascii text files, Igor Pro experiment files (.pxp), and Jupyter notebook files. In addition, a Jupyter notebook file is included containing an implementation of the error model used in the paper.
DOI: 10.21258/1654170
title: Inventario forestale nazionale svizzero - Tabella n. 897533
DOI: 10.21258/1667423
title: Inventario forestale nazionale svizzero - Tabella n. 891682
DOI: 10.5281/zenodo.4321314
title: A Structured Corpus of Old Burmese Stone Inscriptions

description: This dataset is a structured corpus of Old Burmese stone inscriptions, largely based on material from the dataset ရှေးဟောင်းမြန်မာကျောက်စာများ Ancient Burmese Inscriptions, with additional material by Thein Tun and Tilman Frasch.
DOI: 10.5281/zenodo.4321313
title: A Structured Corpus of Old Burmese Stone Inscriptions

description: This dataset is a structured corpus of Old Burmese stone inscriptions, largely based on material from the dataset ရှေးဟောင်းမြန်မာကျောက်စာများ Ancient Burmese Inscriptions, with additional material by Thein Tun and Tilman Frasch.
DOI: 10.21227/3bcd-ra06
title: Supplemantory materials for "Fourier Series based Analytic Model of a Resonant MEMS Mirror for General Voltage Inputs"

description: Description:
DOI: 10.21258/1653213
title: Inventario forestale nazionale svizzero - Tabella n. 899590
DOI: 10.21258/1632781
title: Inventario forestale nazionale svizzero - Tabella n. 902066
DOI: 10.18112/openneuro.ds003436.v1.0.0
title: Agreeableness personality trait and social information encoding
DOI: 10.21258/1648709
title: Inventario forestale nazionale svizzero - Tabella n. 891988
DOI: 10.21227/ejyj-v432
title: Supplemantory materials for "Fourier Series based Analytic Model of a Resonant MEMS Mirror for General Voltage Inputs"

description: Description:
DOI: 10.21258/1653169
title: Inventario forestale nazionale svizzero - Tabella n. 898066
DOI: 10.21258/1628880
title: Inventario forestale nazionale svizzero - Tabella n. 897979
DOI: 10.5281/zenodo.4337026
title: Pottery from the Northwest Quarter, Jerash, Jordan excavated by the Danish-German Jerash Northwest Quarter Project

description: This dataset consists of counts and descriptions of ceramic finds and their chronology at the archaeological site of the Northwest Quarter, Jerash, Jordan. It derives from the Danish-German Jerash Northwest Quarter Project led by. Achim Lichtenberger (University of Munster, Germany) and Rubina Raja (Aarhus University, Denmark) between 2011-2018. The folder includes the data analysis script developed by Iza Romanowska. It constitutes the supplementary information for the following publication: Romanowska, I., Lichtenberger, A., Raja, Rubina. 2021 “Trends in Ceramic Assemblages from the Northwest Quarter of Gerasa/Jerash, Jordan.” <em>Journal of Archaeological Science: Reports.</em>
description: The project was funded by The Carlsberg Foundation; the Danish National Research Foundation (grant 119); Deutsche Forschungsgemeinschaft (LI978); Deutscher Palästina-Verein; EliteForsk initiative of the Danish Ministry of Higher Education and Science and H.P. Hjerl Hansens Mindefondet for Dansk Palæstinaforskning.
DOI: 10.5281/zenodo.4337025
title: Pottery from the Northwest Quarter, Jerash, Jordan excavated by the Danish-German Jerash Northwest Quarter Project

description: This dataset consists of counts and descriptions of ceramic finds and their chronology at the archaeological site of the Northwest Quarter, Jerash, Jordan. It derives from the Danish-German Jerash Northwest Quarter Project led by. Achim Lichtenberger (University of Munster, Germany) and Rubina Raja (Aarhus University, Denmark) between 2011-2018. The folder includes the data analysis script developed by Iza Romanowska. It constitutes the supplementary information for the following publication: Romanowska, I., Lichtenberger, A., Raja, Rubina. 2021 “Trends in Ceramic Assemblages from the Northwest Quarter of Gerasa/Jerash, Jordan.” <em>Journal of Archaeological Science: Reports.</em>
description: The project was funded by The Carlsberg Foundation; the Danish National Research Foundation (grant 119); Deutsche Forschungsgemeinschaft (LI978); Deutscher Palästina-Verein; EliteForsk initiative of the Danish Ministry of Higher Education and Science and H.P. Hjerl Hansens Mindefondet for Dansk Palæstinaforskning.
DOI: 10.6084/m9.figshare.12962546.v1
title: Data.xlsx

description: <b>Аббревиатура: </b>PI-C / PI-A-personal идентичность-когнитивная / аффективная; II-C / II-A -межличностная идентичность-когнитивная / аффективная; MgI-C / MgI-A — микрогрупповая идентичность-когнитивная / аффективная; GI-C / GI — A-групповая идентичность-когнитивная / аффективная; SoI-C / SoI-A — суборганизационная идентичность – когнитивная / аффективная; и OI-C / OI-A — организационная идентичность-когнитивная / эмоциональный.
DOI: 10.6084/m9.figshare.12962546
title: Data.xlsx

description: <b>Аббревиатура: </b>PI-C / PI-A-personal идентичность-когнитивная / аффективная; II-C / II-A -межличностная идентичность-когнитивная / аффективная; MgI-C / MgI-A — микрогрупповая идентичность-когнитивная / аффективная; GI-C / GI — A-групповая идентичность-когнитивная / аффективная; SoI-C / SoI-A — суборганизационная идентичность – когнитивная / аффективная; и OI-C / OI-A — организационная идентичность-когнитивная / эмоциональный.
DOI: 10.21258/1666817
title: Inventario forestale nazionale svizzero - Tabella n. 902189
DOI: 10.5281/zenodo.3891055
title: Datasets on contributorship and bibliometric variables for the study 'Task specialization across research careers'

description: Datasets used in the study 'Task specialization and its effects on research careers'. <strong>Dataset 1 (plos_contribution_data_set.csv).</strong> Seed dataset containing contribution and bibliometric data on a set of publications assigned to the Medical and Life Sciences from PLOS journals. <strong>Dataset 2 (pub_history.csv).</strong> Dataset of author-publication combinations for the complete publication history of 222,295 disambiguated authors and 6,236,239 distinct publications. <strong>Summary of the paper</strong> Research evaluation remains largely focused on individuals’ leadership and excellence, disregarding the collaborative nature of their work. We model a set of 70,694 publications and 347,136 distinct authors using Bayesian networks to predict scientists’ specific contributions on each of their publications. We predict the contributions of 222,925 authors in 6,236,239 publications, and apply an archetypal analysis to profile scientists by career stage. We divide scientific careers into four stages: junior, early-career, mid-career and late-career. Three scientific archetypes are found throughout the four career stages: 1) leader, 2) specialized, and 3) supporting. All three archetypes are encountered for the early- and mid-career stages, whereas for junior and late-career stages only two archetypes are found: specialized and supporting for junior scholars, and leader and supporting for late-career scholars. Scientists assigned to the leader and specialized archetypes tend to have longer careers than researchers who belong to the supporting archetype. There is consistent gender bias at all stages: the majority of male scientists belong to the leader archetype, while the larger proportion of women belong to the specialized archetype, especially for early and mid-career researchers.
description: Paper using these datasets available here: https://doi.org/10.7554/eLife.60586