cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1285/i22840753n21p283
title: Factors influencing the strategic frame-building of para-athletes in Japan from the public relations perspective

description: Framing is used for strategic communication as a rhetorical tool by including and excluding certain elements to generate effective media messages to gain particular social attitudes. The frame-building process is affected by external and internal factors. Para-sports promoters have been struggling with the depiction of para-athletes, because the public seems to perceive messages about people with disabilities as unattractive or socially inappropriate. Public relations professionals involved in the Tokyo 2020 Paralympics may very well face similar and other challenges, such as public censorship on the topic of disabilities, in Japan. This study investigates the external and internal factors that influenced the strategic frame-building process of para-athletes and sports at the Tokyo 2020 Paralympics to achieve the objective of promoting an inclusive Japanese society. As this research was explorative, in-depth interviews were conducted according to the hierarchy of influences on media content with public relations practitioners engaged in this event. The findings suggest that multiple endogenous and exogenous factors, including the social circumstances and the COVID-19 pandemic, are likely to have influenced the public relations efforts supporting the Tokyo 2020 Paralympics. The findings further contribute to exploring questions regarding the strategic frame-building process and a new direction of the strategic frames of its promotion for future research.
DOI: 10.6069/ctb8-pf44
title: SARS-CoV-2 PRM-MS Assay with Clinical Patient Samples

description: The on-going SARS-CoV-2 (COVID-19) pandemic has called for an urgent need for rapid and high-throughput methods for mass testing for early detection, prevention and surveillance of the disease. We investigated whether targeted parallel reaction monitoring (PRM) quantification using high resolution Orbitrap instruments can provide the sensitivity and speed required for a high-throughput method that could be used for clinical diagnosis. We developed a high-throughput and sensitive PRM-MS assay that enables absolute quantification of SARS-CoV-2 nucleocapsid peptides with short turn-around times by using isotopically labelled synthetic SARS-CoV-2 concatenated peptides. We established a fast and high-throughput S-trap-based sample preparation method, which was then utilized for testing 25 positive and 25 negative heat-inactivated nasopharyngeal swab samples for SARS-CoV-2 detection. The method was able to differentiate between negative and some of the positive patients with high viral load .Moreover, based on the absolute quantification calculations, our data show that patients with Ct values as low as 17.5 correspond to NCAP protein amounts of around 7.5 pmol in swab samples. The present high-throughput method could potentially be utilized in specialized clinics as an alternative tool for detection of SARS-CoV-2 but will require enrichment of viral proteins in order to compete with RT-qPCR.
DOI: 10.25381/cput.19947413
title: Supercritical fluid fractionation process development : a techno-economic evaluation of retrofitting an apple aroma production facility

description: Ethical clearance certificate ref: 2019FEREC-STD-125 <br> This data sets comprise of data collected from experiments using the supercritical fractionation pilot plant located in the High Pressure laboratory at CPUT. The pilot plant and literature experimental data were used to validate a process model developed in the Aspen Plus process simulator. In addition, data extracted from Aspen Plus were provided in the data sets. Also, the research included an energy evaluation for the full recycle process which is provided in the datasets. Finally, the analysis of the samples collected from experiments (using gas-chromatography mass spectroscopy) are provided under the appendix.
DOI: 10.25381/cput.19947413.v1
title: Supercritical fluid fractionation process development : a techno-economic evaluation of retrofitting an apple aroma production facility

description: Ethical clearance certificate ref: 2019FEREC-STD-125 <br> This data sets comprise of data collected from experiments using the supercritical fractionation pilot plant located in the High Pressure laboratory at CPUT. The pilot plant and literature experimental data were used to validate a process model developed in the Aspen Plus process simulator. In addition, data extracted from Aspen Plus were provided in the data sets. Also, the research included an energy evaluation for the full recycle process which is provided in the datasets. Finally, the analysis of the samples collected from experiments (using gas-chromatography mass spectroscopy) are provided under the appendix.
DOI: 10.6084/m9.figshare.19809031.v4
title: Summary of the raw data for the figures in "Tribological and mechanical properties of lunar rocky particles"

description: These files are raw data for the figures in "Tribological and mechanical properties of lunar rocky particles". Authors: Jiayan Nie 1, Yifei Cui 1*, Kostas Senetakis 2, Dan Guo 3, Yu Wang 4, Peng Feng 5, Huaiyu He 6, Xiaoping Zhang 7, Cunhui Li 8, Hu Zheng 9, Wei Hu 10. 1 State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, PR China 2 Department of Architecture and Civil Engineering, City University of Hong Kong, Kowloon, Hong Kong 999077, PR China 3 State Key Laboratory of Tribology, Tsinghua University, Beijing 100084, PR China 4 Key Laboratory of Mountain Hazards and Surface Process, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, PR China 5 Department of Civil Engineering, Tsinghua University, Beijing 100084, PR China 6 State Key Laboratory of Lithospheric Evolution, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, PR China 7 State Key Laboratory of Lunar and Planetary Sciences, Macau University of Science and Technology, Macau 999078, PR China 8 Science and Technology on Vacuum Technology and Physics Laboratory, Lanzhou Institute of Physics, Lanzhou 730000, PR China 9 Department of Geotechnical Engineering, College of Civil Engineering, Tongji University, Shanghai 200092, PR China 10 State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, PR China * Corresponding author: Yifei Cui(yifeicui@mail.tsinghua.edu.cn)
DOI: 10.6084/m9.figshare.19809031
title: Summary of the raw data for the figures in "Tribological and mechanical properties of lunar rocky particles"

description: These files are raw data for the figures in "Tribological and mechanical properties of lunar rocky particles". Authors: Jiayan Nie 1, Yifei Cui 1*, Kostas Senetakis 2, Dan Guo 3, Yu Wang 4, Peng Feng 5, Huaiyu He 6, Xiaoping Zhang 7, Cunhui Li 8, Hu Zheng 9, Wei Hu 10. 1 State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, PR China 2 Department of Architecture and Civil Engineering, City University of Hong Kong, Kowloon, Hong Kong 999077, PR China 3 State Key Laboratory of Tribology, Tsinghua University, Beijing 100084, PR China 4 Key Laboratory of Mountain Hazards and Surface Process, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, PR China 5 Department of Civil Engineering, Tsinghua University, Beijing 100084, PR China 6 State Key Laboratory of Lithospheric Evolution, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, PR China 7 State Key Laboratory of Lunar and Planetary Sciences, Macau University of Science and Technology, Macau 999078, PR China 8 Science and Technology on Vacuum Technology and Physics Laboratory, Lanzhou Institute of Physics, Lanzhou 730000, PR China 9 Department of Geotechnical Engineering, College of Civil Engineering, Tongji University, Shanghai 200092, PR China 10 State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, PR China * Corresponding author: Yifei Cui(yifeicui@mail.tsinghua.edu.cn)
DOI: 10.6084/m9.figshare.19809031.v3
title: Summary of the raw data for the figures in "Tribological and mechanical properties of lunar rocky particles"

description: These files are raw data for the figures in "Tribological and mechanical properties of lunar rocky particles". Authors: Jiayan Nie 1, Yifei Cui 1*, Kostas Senetakis 2, Dan Guo 3, Yu Wang 4, Peng Feng 5, Huaiyu He 6, Xiaoping Zhang 7, Cunhui Li 8, Hu Zheng 9, Wei Hu 10. 1 State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, PR China 2 Department of Architecture and Civil Engineering, City University of Hong Kong, Kowloon, Hong Kong 999077, PR China 3 State Key Laboratory of Tribology, Tsinghua University, Beijing 100084, PR China 4 Key Laboratory of Mountain Hazards and Surface Process, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, PR China 5 Department of Civil Engineering, Tsinghua University, Beijing 100084, PR China 6 State Key Laboratory of Lithospheric Evolution, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, PR China 7 State Key Laboratory of Lunar and Planetary Sciences, Macau University of Science and Technology, Macau 999078, PR China 8 Science and Technology on Vacuum Technology and Physics Laboratory, Lanzhou Institute of Physics, Lanzhou 730000, PR China 9 Department of Geotechnical Engineering, College of Civil Engineering, Tongji University, Shanghai 200092, PR China 10 State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, PR China * Corresponding author: Yifei Cui(yifeicui@mail.tsinghua.edu.cn)
DOI: 10.5517/ccdc.csd.cc28k602
title: CCDC 2101893: Experimental Crystal Structure Determination

description: Related Article: Azadeh Shahriari, Kamran Amiri, Ali Nikbakht, Frank Rominger, Hamid Reza Bijanzadeh, Saeed Balalaie|2022|J.Org.Chem.|87|7778|doi:10.1021/acs.joc.2c00387
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.6656181
title: Data and code repository for Science Advances submission: Uncovering the biological basis of control energy: structural and metabolic correlates of energy inefficiency in temporal lobe epilepsy

description: Data and codes related to the findings reported in the manuscript, "Uncovering the biological basis of control energy: structural and metabolic correlates of energy inefficiency in temporal lobe epilepsy", are deposited. Please refer to the notes located within each folder for further descriptions.
DOI: 10.5281/zenodo.4441996
title: Dataset of Measurement and conceptualization of maternal PTSD following childbirth: Psychometric properties of the City Birth Trauma Scale – French version (City BiTS-F)

description: The City Birth Trauma Scale (City BiTS-F) was developed to assess posttraumatic stress disorder following childbirth (PTSD-FC), based on the PTSD criteria of the DSM-5. Recent studies investigating the latent factor structure of PTSD-FC symptoms in women reported mixed results. Given that no validated French questionnaire exists to measure PTSD-FC symptoms, this study first aimed to validate the French version of the CBTS (City BiTS-F). Second, it aims to establish the latent factor structure of PTSD-FC. This dataset contains data on the mental health (i.e., PTSD-CB, depression, anxiety) of 541 mothers who gave birth during the last 12 months. Sociodemegraphic data such as maternal age, marital status, educational level, parity, gravidity, weeks of gestation, type of delivery, history of traumatic childbirth, or history of traumatic event is available. This dataset is related to: Sandoz, V., Hingray, C., Stuijfzand, S., Lacroix, A., El Hage, W., & Horsch, A. (2022). Measurement and conceptualization of maternal PTSD following childbirth: Psychometric properties of the City Birth Trauma Scale—French Version (City BiTS-F). <em>Psychological Trauma: Theory, Research, Practice, and Policy, 14</em>(4), 696–704. https://doi.org/10.1037/tra0001068
DOI: 10.5281/zenodo.4441995
title: Dataset of Measurement and conceptualization of maternal PTSD following childbirth: Psychometric properties of the City Birth Trauma Scale – French version (City BiTS-F)

description: The City Birth Trauma Scale (City BiTS-F) was developed to assess posttraumatic stress disorder following childbirth (PTSD-FC), based on the PTSD criteria of the DSM-5. Recent studies investigating the latent factor structure of PTSD-FC symptoms in women reported mixed results. Given that no validated French questionnaire exists to measure PTSD-FC symptoms, this study first aimed to validate the French version of the CBTS (City BiTS-F). Second, it aims to establish the latent factor structure of PTSD-FC. This dataset contains data on the mental health (i.e., PTSD-CB, depression, anxiety) of 541 mothers who gave birth during the last 12 months. Sociodemegraphic data such as maternal age, marital status, educational level, parity, gravidity, weeks of gestation, type of delivery, history of traumatic childbirth, or history of traumatic event is available. This dataset is related to: Sandoz, V., Hingray, C., Stuijfzand, S., Lacroix, A., El Hage, W., & Horsch, A. (2022). Measurement and conceptualization of maternal PTSD following childbirth: Psychometric properties of the City Birth Trauma Scale—French Version (City BiTS-F). <em>Psychological Trauma: Theory, Research, Practice, and Policy, 14</em>(4), 696–704. https://doi.org/10.1037/tra0001068
DOI: 10.5519/qd.mowmkd46
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (422 records)
DOI: 10.5281/zenodo.6678353
title: Dataset for "Efficient Discrete Element Modeling of Particle Dampers"

description: Dataset for "Efficient Discrete Element Modeling of Particle Dampers" paper submitted to MDPI Processes, as required by MDPI Research Data Policy on Data Availability.
DOI: 10.5281/zenodo.6678352
title: Dataset for "Efficient Discrete Element Modeling of Particle Dampers"

description: Dataset for "Efficient Discrete Element Modeling of Particle Dampers" paper submitted to MDPI Processes, as required by MDPI Research Data Policy on Data Availability.
DOI: 10.5281/zenodo.6473050
title: Predicting cancer prognosis and drug response from the tumor microbiome

description: Tumor gene expression is predictive of patient prognosis in some cancers. However, RNA-seq and whole genome sequencing data contain not only reads from host tumor and normal tissue, but also reads from the tumor microbiome, which can be used to infer the microbial abundances in each tumor. Here, we show that tumor microbial abundances, alone or in combination with tumor gene expression data, can predict cancer prognosis and drug response to some extent – microbial abundances are significantly less predictive of prognosis than gene expression, although remarkably, similarly as predictive of drug response, but in mostly different cancer-drug combinations. Thus, it appears possible to leverage existing sequencing technology, or develop new protocols, to obtain more non-redundant information about prognosis and drug response from RNA-seq and whole genome sequencing experiments than could be obtained from tumor gene expression or genomic data alone.
description: {"references": ["Hermida, L.C., Gertz, E.M. & Ruppin, E. Predicting cancer prognosis and drug response from the tumor microbiome. Nat Commun 13, 2896 (2022). https://doi.org/10.1038/s41467-022-30512-3"]}
DOI: 10.5281/zenodo.5221525
title: Predicting cancer prognosis and drug response from the tumor microbiome

description: Tumor gene expression is predictive of patient prognosis in some cancers. However, RNA-seq and whole genome sequencing data contain not only reads from host tumor and normal tissue, but also reads from the tumor microbiome, which can be used to infer the microbial abundances in each tumor. Here, we show that tumor microbial abundances, alone or in combination with tumor gene expression data, can predict cancer prognosis and drug response to some extent – microbial abundances are significantly less predictive of prognosis than gene expression, although remarkably, similarly as predictive of drug response, but in mostly different cancer-drug combinations. Thus, it appears possible to leverage existing sequencing technology, or develop new protocols, to obtain more non-redundant information about prognosis and drug response from RNA-seq and whole genome sequencing experiments than could be obtained from tumor gene expression or genomic data alone.
description: {"references": ["Hermida, L.C., Gertz, E.M. & Ruppin, E. Predicting cancer prognosis and drug response from the tumor microbiome. Nat Commun 13, 2896 (2022). https://doi.org/10.1038/s41467-022-30512-3"]}
DOI: 10.6084/m9.figshare.20065973.v1
title: Decomposing the stochastic growth rate with nonlinear effects: data and R code

description: Data and R code from publication: Le Coeur, C., Yoccoz, N.G., Salguero-Gomez, R., Vindenes, Y. (accepted). Life history adaptations to fluctuating environments: Combined effects of demographic buffering and labillity, Ecology Letters <br> <strong>Files:</strong> - <strong>DecompositionStochGrowthRate.R: </strong> an R file with code to decompose the stochastic population growth into main components capturing effects of nonlinearity in demographic parameters as a function of an environmental driver z, and effects of variance-covariance among the parameters. Both the analytical and simulation approaches are presented. <br> - <strong>ComadreMPM154.RData:</strong> Selection of age- and stage-structured matrix population models (MPMs) from the COMADRE animal database (v.4.20.5; Salguero-Gomez et al. 2016; https://compadre-db.org/Data/Releases). These MPMs are used as a starting point to our theoretical exploration across generation time, considering different scenarios for effects of the environment z on the demographic parameters. <br>
DOI: 10.48579/pro/qturqw/p63s2t
title: Trichomycteridae.xlsx

description: :unav
DOI: 10.5281/zenodo.6683974
title: 2011 Census estimates of the workplace population in England and Wales

description: Estimated number of workers in each 2011 Census output area in England and Wales, processed and saved in an easy to analyse format. Original Source: https://www.nomisweb.co.uk/datasets/1300_1 This dataset provides 2011 Census estimates of the workplace population in England and Wales by residence type (household or communal resident), by sex and by age. The estimates are as at census day, 27 March 2011. Statistics about the number and demographic characteristics of people are used to monitor differences and track how these proportions change over time. <strong>Statistical Disclosure Control</strong> In order to protect against disclosure of personal information from the 2011 Census, there has been swapping of records in the Census database between different geographic areas, and so some counts will be affected. In the main, the greatest effects will be at the lowest geographies, since the record swapping is targeted towards those households with unusual characteristics in small areas. More details on the ONS Census disclosure control strategy may be found on the http://www.ons.gov.uk/ons/guide-method/census/2011/census-data/2011-census-prospectus/new-developments-for-2011-census-results/statistical-disclosure-control/index.html[Statistical Disclosure Control] page on the ONS web site. Distributed under Open Government License v3.0: https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
DOI: 10.5281/zenodo.6683973
title: 2011 Census estimates of the workplace population in England and Wales

description: Estimated number of workers in each 2011 Census output area in England and Wales, processed and saved in an easy to analyse format. Original Source: https://www.nomisweb.co.uk/datasets/1300_1 This dataset provides 2011 Census estimates of the workplace population in England and Wales by residence type (household or communal resident), by sex and by age. The estimates are as at census day, 27 March 2011. Statistics about the number and demographic characteristics of people are used to monitor differences and track how these proportions change over time. <strong>Statistical Disclosure Control</strong> In order to protect against disclosure of personal information from the 2011 Census, there has been swapping of records in the Census database between different geographic areas, and so some counts will be affected. In the main, the greatest effects will be at the lowest geographies, since the record swapping is targeted towards those households with unusual characteristics in small areas. More details on the ONS Census disclosure control strategy may be found on the http://www.ons.gov.uk/ons/guide-method/census/2011/census-data/2011-census-prospectus/new-developments-for-2011-census-results/statistical-disclosure-control/index.html[Statistical Disclosure Control] page on the ONS web site. Distributed under Open Government License v3.0: https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
DOI: 10.34740/kaggle/dsv/3845782
title: YouTube Daily
DOI: 10.5258/soton/d2264
title: Dataset supporting a thesis: Developing and Evaluating Implicit Solvent Models for Catalytic Metallic Surfaces

description: Condensed data used in PhD thesis and associated publications. The data is by and large consists of input and output files associated with each chapter of the PhD. thesis and the two publications. The data should be replicable with the latest version of the associated codes. The change in variables for the relevant tests are logged in the input files and file names. Licenses/restrictions placed on the data, or limitations of reuse: CC BY
DOI: 10.6084/m9.figshare.19601425.v1
title: Supplementary material Rhythm in movement, dance and RT: A systematic review and meta-analysis

description: Supplementary materials Algorithm Data extraction Meta analyses tables Risk of bias results Grade Analysis Prisma checklist
DOI: 10.6084/m9.figshare.20117841
title: Table S3 Paleoproterozoic gold deposits at Alta Floresta Mineral Province, Brazil: two overprinted mineralising events?

description: Type A - Brunsvigite and Diabandite
DOI: 10.6084/m9.figshare.20117841.v1
title: Table S3 Paleoproterozoic gold deposits at Alta Floresta Mineral Province, Brazil: two overprinted mineralising events?

description: Type A - Brunsvigite and Diabandite
DOI: 10.6084/m9.figshare.20117844
title: Table S1 Paleoproterozoic gold deposits at Alta Floresta Mineral Province, Brazil: two overprinted mineralising events?

description: Chlorite composition data of the Type-1, Type-2, Type-3 deposits of AFMP
DOI: 10.6084/m9.figshare.20117844.v1
title: Table S1 Paleoproterozoic gold deposits at Alta Floresta Mineral Province, Brazil: two overprinted mineralising events?

description: Chlorite composition data of the Type-1, Type-2, Type-3 deposits of AFMP
DOI: 10.6084/m9.figshare.20117847
title: Table S2 Paleoproterozoic gold deposits at Alta Floresta Mineral Province, Brazil: two overprinted mineralising events?

description: White–mica composition data of the Type-1, Type-2, and Type-3 deposits of AFMP
DOI: 10.6084/m9.figshare.20117847.v1
title: Table S2 Paleoproterozoic gold deposits at Alta Floresta Mineral Province, Brazil: two overprinted mineralising events?

description: White–mica composition data of the Type-1, Type-2, and Type-3 deposits of AFMP
DOI: 10.6084/m9.figshare.20072000.v1
title: Maroti_Torok_CurrBiol2022.bed

description: PLINK data set
DOI: 10.6084/m9.figshare.20072000
title: Maroti_Torok_CurrBiol2022.bed

description: PLINK data set
DOI: 10.6084/m9.figshare.20072003
title: Maroti_Torok_CurrBiol2022.fam

description: PLINK data set