cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25442/hku.21222035.v1
title: Supporting data for Cellular and molecular dysregulations of neutrophils in systemic lupus erythematosus.zip

description: (1) Clinical research data: Database containing patients’ data including patients’ clinical parameters are organized by our clinical research assistants with restricted access. Patients’ clinical data are anonymised and used for correlation analysis with laboratory data by GraphPad prism. (2) Laboratory research data 1) Flow cytometry: The data are automatically saved in .LMD or .fcs files. Then, the raw data will be copied by thumb drives and analysed by FlowJo software. After analysis, data can be saved in .wsp files. 2) qPCR: The raw data are saved in the .eds format and can be exported as .xls files. Excel and GraphPad prism are used for further analysis. Data collection of qPCR will follow the minimum information for publication of quantitative real-time PCR experiments (MIQE) guidelines. 3) Western Blot: PVDF membranes are scanned by ChemiDoc Imaging System (Bio-Rad). The raw data are saved in .scn files, the images are saved in .jpg and .tif formats. Further quantification is performed by Bio-Rad New Image Lab Software. 4) Immunofluorescence staining: Images are taken by Nikon Ni-U fluorescence microscope and saved in .tif files. 5) ELISA, Bradford and Endotoxin detection assay: Microplate reader is used to detect and process biological and chemical data using absorbance. Data are exported in .xls files. 6)Pyrosequencing: Data are processed and exported in .xls files. 7) ATAC-sequencing assay: Data are processed and exported in .xls and .gz files.
DOI: 10.25442/hku.21249666
title: Supporting data for "Controlling avian influenza with public health measures"

description: This dataset contains the data collected and generated during the PhD. The avian human infections folder contains a dataset from a collection of avian influenza human infections from the published literature and publicly available reports from the WHO, between 1996 to 2021. Information on date of report, age, gender, outcome, exposure, and source (as a DOI or URL to the document providing this information) is available. <br> The avian interventions folder contains a dataset from a collection of estimates of public health interventions and their practical applications on avian influenza outbreaks, retreived from the published literature. For each intervention estimate, I provide the source (URL or DOI), target of the intervention, location, dates, pathogenicity of the virus at the origin of the outbreak (when available), subtype of the virus at the origin of the outbreak (when available), details of the periods used for comparison, kind of estimate (relative risk, odds ratio, hazard ratio, reproductive number ratio, incidence ratio, etc), type of unit used (environmental samples, human incidence, poultry flock, poultry farm, etc), raw data (if available), estimate information (point estimate, confidence interval, adjusted or not), and type of interventions used (LPM closure, rest days, cleaning, disinfection, culling, prophylaxis vaccination, emergency vaccination, ban of quail, ban of keeping poultry overnight, ban of restocking, controlled traffic, prophylaxis antivirals, personal protective equipment use, biosecurity improvements and/or training). <br> The folder avian poultry network contains two subfolders: models, containing the script used on the free software GAMA platform to simulate an agent based model of avian influenza transmission and public health interventions on a poultry network, and generated, containing a synthesis of the outputs of seven scenarios applied during my thesis, as R datasets.
DOI: 10.25442/hku.21249666.v1
title: Supporting data for "Controlling avian influenza with public health measures"

description: This dataset contains the data collected and generated during the PhD. The avian human infections folder contains a dataset from a collection of avian influenza human infections from the published literature and publicly available reports from the WHO, between 1996 to 2021. Information on date of report, age, gender, outcome, exposure, and source (as a DOI or URL to the document providing this information) is available. <br> The avian interventions folder contains a dataset from a collection of estimates of public health interventions and their practical applications on avian influenza outbreaks, retreived from the published literature. For each intervention estimate, I provide the source (URL or DOI), target of the intervention, location, dates, pathogenicity of the virus at the origin of the outbreak (when available), subtype of the virus at the origin of the outbreak (when available), details of the periods used for comparison, kind of estimate (relative risk, odds ratio, hazard ratio, reproductive number ratio, incidence ratio, etc), type of unit used (environmental samples, human incidence, poultry flock, poultry farm, etc), raw data (if available), estimate information (point estimate, confidence interval, adjusted or not), and type of interventions used (LPM closure, rest days, cleaning, disinfection, culling, prophylaxis vaccination, emergency vaccination, ban of quail, ban of keeping poultry overnight, ban of restocking, controlled traffic, prophylaxis antivirals, personal protective equipment use, biosecurity improvements and/or training). <br> The folder avian poultry network contains two subfolders: models, containing the script used on the free software GAMA platform to simulate an agent based model of avian influenza transmission and public health interventions on a poultry network, and generated, containing a synthesis of the outputs of seven scenarios applied during my thesis, as R datasets.
DOI: 10.25442/hku.21257034
title: Supporting data for "Factors Influencing the Social Integration of Highly Educated Mainland Chinese Migrants in Hong Kong"

description: The data for this study are drawn from the data collected for a larger project entitled “A Systematic Study of Labour Dynamics in the Greater Bay Area” funded by Our Hong Kong Foundation. <br> This specific data set looks at the labour migration of highly educated Mainland Chinese in Hong Kong with the data collected between fall of 2019 to spring of 2020 with 3,012 respondents. My research draws from this data set and examine the social integration of these migrants, in particular i) whether discrimination at work and in daily life has different influences in their friendship making patterns with locals and ii) the impact of mental health on staying intention when they perceive discrimination. This data set serves as a foundation to understanding the highly educated Mainland Chinese migrant population in Hong Kong and enriches our understanding of highly educated migration within Asia. <br> Stata 14.0 was used to analyse the data.
DOI: 10.25442/hku.21257034.v1
title: Supporting data for "Factors Influencing the Social Integration of Highly Educated Mainland Chinese Migrants in Hong Kong"

description: The data for this study are drawn from the data collected for a larger project entitled “A Systematic Study of Labour Dynamics in the Greater Bay Area” funded by Our Hong Kong Foundation. <br> This specific data set looks at the labour migration of highly educated Mainland Chinese in Hong Kong with the data collected between fall of 2019 to spring of 2020 with 3,012 respondents. My research draws from this data set and examine the social integration of these migrants, in particular i) whether discrimination at work and in daily life has different influences in their friendship making patterns with locals and ii) the impact of mental health on staying intention when they perceive discrimination. This data set serves as a foundation to understanding the highly educated Mainland Chinese migrant population in Hong Kong and enriches our understanding of highly educated migration within Asia. <br> Stata 14.0 was used to analyse the data.
DOI: 10.17037/data.00003106
title: Support files for: The acceptability of the AMBITION-cm treatment regimen for HIV-associated cryptococcal meningitis: findings from a qualitative methods study of participants and researchers in Botswana and Uganda

description: The AMBITION-cm trial for HIV-associated cryptococcal meningitis had a qualitative methods study embedded within the AMBITION-cm sites in Botswana and Uganda. Eligible trial participants, surrogate decision makers, and researchers at both sites were contacted to participate in a set of in-depth interviews (IDIs). This fileset contains a set of collection tools produced and used for the in-depth interviews, as well as the participation information sheets, consent forms and interview schedules for each group.
description: We embedded a qualitative methods study within the AMBITION-cm sites in Botswana and Uganda. Interviews were conducted and combined with direct observations. Consecutively eligible trial participants were approached to participate in two in-depth interviews (IDIs). The first IDI took place at least six weeks into the ten-week trial and the other at least four weeks after the final trial appointment. Secondly, consecutively eligible surrogate decision makers were approached to participate in a single in-depth interview at least six weeks after having provided consent for a trial participant. Finally, we interviewed researchers working on the AMBITION-cm trial on a single occasion. Altogether, we interviewed 38 trial participants, 20 surrogate decision makers, and 31 researchers. Interviews were transcribed, translated, and analysed thematically.
DOI: 10.5281/zenodo.6245460
title: Marlisat

description: The objective of the MARLISAT project was to further develop Marine Plastic Monitoring through satellite technologies, i.e., using satellites to detect Marine litter, track it and forecast its pathways. The project was led by CLS, with Pixalytics developing the remote sensing-based detection approach. It was funded through the European Space Agency, contract number 4000131481/20/NL/GLC. The associated paper is available at https://doi.org/10.3390/rs14194772
description: Created via Ocean Scan.<br>Campaign ID: <b>a8375686-76c5-42d4-936b-2ad8bd59118e</b>.
DOI: 10.5281/zenodo.6245459
title: Marlisat

description: The objective of the MARLISAT project was to further develop Marine Plastic Monitoring through satellite technologies, i.e., using satellites to detect Marine litter, track it and forecast its pathways. The project was led by CLS, with Pixalytics developing the remote sensing-based detection approach. It was funded through the European Space Agency, contract number 4000131481/20/NL/GLC. The associated paper is available at https://doi.org/10.3390/rs14194772
description: Created via Ocean Scan.<br>Campaign ID: <b>a8375686-76c5-42d4-936b-2ad8bd59118e</b>.
DOI: 10.6084/m9.figshare.21345627
title: Autogenic process of peatland

description: The temporal variations in the Non-autogenic Carbon Accumulation Rate (NCAR) for nearly 1500 years which removes the autogenic process using conceptual models of peat development from a peatland in the Amur River Basin.
DOI: 10.6084/m9.figshare.21345627.v1
title: Autogenic process of peatland

description: The temporal variations in the Non-autogenic Carbon Accumulation Rate (NCAR) for nearly 1500 years which removes the autogenic process using conceptual models of peat development from a peatland in the Amur River Basin.
DOI: 10.5281/zenodo.7185198
title: Corona-Datenspende - Teildatensatz Erleben und Verhalten in der Pandemie

description: Die Daten von Fitnessarmbändern und Smartwatches, sogenannten Wearables, können Hinweise auf Symptome einer Infektion mit COVID-19 liefern. Mit Hilfe der Corona-Datenspende-App (CDA) können Bürger:innen dem Robert Koch-Institut diese Daten zur wissenschaftlichen Auswertung zur Verfügung stellen. Zusammen mit Informationen aus anderen Quellen, z.B. offiziellen Meldedaten zu Fallzahlen, helfen diese Daten den Wissenschaftler:innen, die Ausbreitung des Coronavirus besser zu erfassen und zu verstehen. In ihrer ersten, seit April 2020 verfügbaren, Version erhob die CDA nur sogenannte Vitaldaten der Nutzer:innen, insbesondere den Ruhepuls, körperliche Aktivität und Schlafverhalten. In einem Update im Oktober 2021 wurden der App Umfragemodule zu verschiedenen, für die Pandemieforschung relevanten Fragestellungen, hinzugefügt. Die hier bereitgestellten Daten entstammen der Teilstudie "Erleben und Verhalten in der Pandemie" die momentan als eines von drei Befragungsmodulen innerhalb der CDA durchgeführt wird. Sie basiert auf dem COVID-19 Snapshot Monitoring (COSMO), einem sich wiederholenden querschnittlichen Monitoring von Wissen, Risikowahrnehmung, Schutzverhalten und Vertrauen während des aktuellen COVID-19 Ausbruchsgeschehens (Betsch et al., 2022). In dieser Studie wollen das Robert Koch-Institut sowie führende Verhaltensforscher:innen erfahren, wie sich die Bevölkerung unter pandemischen Bedingungen verhält. Durch die Beantwortung regelmäßiger Fragebögen können Teilnehmer:innen dabei helfen, Strategien zur Bekämpfung des Coronavirus zu optimieren. Die Forscher:innen wollen hierzu mehr über den Arbeitsalltag, die persönliche Belastung und die Risikowahrnehmung lernen. Die hier bereitgestellten Daten dienen der Reproduktion aller Ergebnisse in der Studie "From Delta to Omicron: The role of individual factors and social context in compliance with pandemic regulations and recommendations" (Sprengholz et al., 2022, in Begutachtung). Es werden hier daher jene Datenpunkte aus der Studie "Erleben und Verhalten in der Pandemie" bereitgestellt, die zu diesem Zweck benötigt werden. Das heißt auch, dass nicht alle im Rahmen dieser Studie erhobenen Datenpunkte, beispielsweise Informationen zu COVID-19-Testergebnissen, sowie alle Zeitpunkte der Erhebung im vorliegenden Datensatz enthalten sind. Ein Link zur oben genannten Publikation folgt nach der Veröffentlichung in einer Fachzeitschrift.
DOI: 10.5281/zenodo.7185199
title: Corona-Datenspende - Teildatensatz Erleben und Verhalten in der Pandemie

description: Die Daten von Fitnessarmbändern und Smartwatches, sogenannten Wearables, können Hinweise auf Symptome einer Infektion mit COVID-19 liefern. Mit Hilfe der Corona-Datenspende-App (CDA) können Bürger:innen dem Robert Koch-Institut diese Daten zur wissenschaftlichen Auswertung zur Verfügung stellen. Zusammen mit Informationen aus anderen Quellen, z.B. offiziellen Meldedaten zu Fallzahlen, helfen diese Daten den Wissenschaftler:innen, die Ausbreitung des Coronavirus besser zu erfassen und zu verstehen. In ihrer ersten, seit April 2020 verfügbaren, Version erhob die CDA nur sogenannte Vitaldaten der Nutzer:innen, insbesondere den Ruhepuls, körperliche Aktivität und Schlafverhalten. In einem Update im Oktober 2021 wurden der App Umfragemodule zu verschiedenen, für die Pandemieforschung relevanten Fragestellungen, hinzugefügt. Die hier bereitgestellten Daten entstammen der Teilstudie "Erleben und Verhalten in der Pandemie" die momentan als eines von drei Befragungsmodulen innerhalb der CDA durchgeführt wird. Sie basiert auf dem COVID-19 Snapshot Monitoring (COSMO), einem sich wiederholenden querschnittlichen Monitoring von Wissen, Risikowahrnehmung, Schutzverhalten und Vertrauen während des aktuellen COVID-19 Ausbruchsgeschehens (Betsch et al., 2022). In dieser Studie wollen das Robert Koch-Institut sowie führende Verhaltensforscher:innen erfahren, wie sich die Bevölkerung unter pandemischen Bedingungen verhält. Durch die Beantwortung regelmäßiger Fragebögen können Teilnehmer:innen dabei helfen, Strategien zur Bekämpfung des Coronavirus zu optimieren. Die Forscher:innen wollen hierzu mehr über den Arbeitsalltag, die persönliche Belastung und die Risikowahrnehmung lernen. Die hier bereitgestellten Daten dienen der Reproduktion aller Ergebnisse in der Studie "From Delta to Omicron: The role of individual factors and social context in compliance with pandemic regulations and recommendations" (Sprengholz et al., 2022, in Begutachtung). Es werden hier daher jene Datenpunkte aus der Studie "Erleben und Verhalten in der Pandemie" bereitgestellt, die zu diesem Zweck benötigt werden. Das heißt auch, dass nicht alle im Rahmen dieser Studie erhobenen Datenpunkte, beispielsweise Informationen zu COVID-19-Testergebnissen, sowie alle Zeitpunkte der Erhebung im vorliegenden Datensatz enthalten sind. Ein Link zur oben genannten Publikation folgt nach der Veröffentlichung in einer Fachzeitschrift.
DOI: 10.17036/researchdata.aston.ac.uk.00000580
title: Performance Evaluation of Discrete Raman Amplifiers in Coherent Transmission Systems
DOI: 10.21227/z0py-th79
title: Reliability Data for Laser Lifetime Prediction  

description: A synthetic data for low power (P ≤10 mW) InGaAsP MQW-DFB lasers operating at a wavelength (λ) ranging from 1.53 to 1.57 µm at a case temperature  laying between -40 ℃ to 85 ℃ with side mode suppression ratio of more than 35 dB is generated and can be used for laser lifetime prediction using machine learning based approaches.
DOI: 10.25375/uct.21304500
title: Missed opportunities to address common mental disorders of people living with HIV in Zomba, Malawi: A cross sectional clinic survey

description: A descriptive cross-sectional clinic survey conducted at three ART clinics in the Zomba district. Random sampling was conducted for all clients attending their ART clinics on specific days. The study surveyed 382 participants living with HIV. In addition to socio-demographic and HIV related variables, measures of depression, anxiety, substance use were included in the survey.
DOI: 10.25375/uct.21304500.v1
title: Missed opportunities to address common mental disorders of people living with HIV in Zomba, Malawi: A cross sectional clinic survey

description: A descriptive cross-sectional clinic survey conducted at three ART clinics in the Zomba district. Random sampling was conducted for all clients attending their ART clinics on specific days. The study surveyed 382 participants living with HIV. In addition to socio-demographic and HIV related variables, measures of depression, anxiety, substance use were included in the survey.
DOI: 10.5281/zenodo.4926442
title: Computing Book Parts with EEBO-TCP

description: Full frequency data for the div type attributes used in EEBO-TCP files to accompany the article 'Computing Book Parts with EEBO-TCP'.
DOI: 10.5281/zenodo.4926441
title: Computing Book Parts with EEBO-TCP

description: Full frequency data for the div type attributes used in EEBO-TCP files to accompany the article 'Computing Book Parts with EEBO-TCP'.
DOI: 10.5281/zenodo.6409156
title: Model code, data, and plot scripts for the paper "Impacts of Ice-Particle Size Distribution Shape Parameter on Climate Simulations with the Community Atmosphere Model Version 6 (CAM6)".

description: The model codes, data, and plot scripts used in the paper, "Impacts of Ice-Particle Size Distribution Shape Parameter on Climate Simulations with the Community Atmosphere Model Version 6 (CAM6)". Figs&Table are the NCL scripts used for figures and table in the paper. Model_Results contains output data of each experiment in this study. Mods_Scripts contains modified model code. Offline_Code contains off-line test code.
DOI: 10.5281/zenodo.6530482
title: Model code, data, and plot scripts for the paper "Impacts of Ice-Particle Size Distribution Shape Parameter on Climate Simulations with the Community Atmosphere Model Version 6 (CAM6)".

description: The code, scripts, and data used in the paper "Impacts of Ice-Particle Size Distribution Shape Parameter on Climate Simulations with the Community Atmosphere Model Version 6 (CAM6)". All Figures&Table and their corresponding NCL scripts are under the directory of Figs&Table. The modified model code, corresponding original model code, and model run scripts are under the directory of Mods_Scripts. The postprocessing NCL scripts, which select useful variables from simulation results, are under the directory of PostProcessing. The zonal mean data from model results used for making figures and corresponding data processing scripts are under the directory of Model_Results. The FORTRAN code used for offline tests is under the directory of Offline_Code.
DOI: 10.34740/kaggle/dsv/4281776
title: sindhi_language_corpus
DOI: 10.34740/kaggle/dsv/4340489
title: YouTube Daily
DOI: 10.6084/m9.figshare.21345723
title: Interview transcriptions.txt

description: As part of my master thesis I conducted face-to-face interviews asking about research participants' experience with cultural heritage services. <br> The dataset contains the interview transcriptions.
DOI: 10.6084/m9.figshare.21345723.v1
title: Interview transcriptions.txt

description: As part of my master thesis I conducted face-to-face interviews asking about research participants' experience with cultural heritage services. <br> The dataset contains the interview transcriptions.
DOI: 10.23729/0f4a3296-3b10-40c8-9ad3-0cf00a5a4a53
title: SealID

description: Ringed seal image dataset (SealID) provides a challenging identification task. General purpose animal re-identification methods that utilize fur, feather, skin patterns of animals could be evaluated on that dataset. Large variation in illumination, seal poses, limited size of identifiable region, low contrast between the ring pattern and the rest of the pelage, substantial differences between wet and dry fur and low image quality of automatic camera traps all contribute to the difficulty of the re-identification task of Saimaa ringed seals. We have compiled an extensive dataset of 57 seals containing a total of 2080 images and made it publicly available. All animal individuals were identified by experts. If you use this database in your research, we kindly ask that you reference our papers listed below: Nepovinnykh, E., Eerola, T., Biard, V., Mutka, P., Niemi, M., Kunnasranta, M. and Kälviäinen, H., 2022. SealID: Saimaa ringed seal re-identification dataset. Sensors, 22(19), p.7602. Nepovinnykh, E., Chelak, I., Eerola, T. and Kälviäinen, H., 2022. Norppa: Novel ringed seal re-identification by pelage pattern aggregation. arXiv preprint arXiv:2206.02498.
DOI: 10.5281/zenodo.7212856
title: Effective Molecular Dynamics from Neural-Network Based Structure Prediction Models

description: Molecular dynamics simulation (61.5 us) data of 28 one- and two-domain proteins from Jussupow & Kaila: Effective Molecular Dynamics from Neural-Network Based Structure Prediction Models
DOI: 10.5281/zenodo.7212855
title: Effective Molecular Dynamics from Neural-Network Based Structure Prediction Models

description: Molecular dynamics simulation (61.5 us) data of 28 one- and two-domain proteins from Jussupow & Kaila: Effective Molecular Dynamics from Neural-Network Based Structure Prediction Models
DOI: 10.5517/ccdc.csd.cc21drfn
title: CCDC 1889091: Experimental Crystal Structure Determination

description: Related Article: Qing-Hui Guo, Zhichang Liu, Peng Li, Dengke Shen, Yaobin Xu, Matthew R. Ryder, Haoyuan Chen, Charlotte L. Stern, Christos D. Malliakas, Xuan Zhang, Lin Zhang, Yunyan Qiu, Yi Shi, Randall Q. Snurr, Douglas Philp, Omar K. Farha, J. Fraser Stoddart|2019|Cell Press: Chem|5|2353|doi:10.1016/j.chempr.2019.06.011
description: Related Article: Qing-Hui Guo, James Fraser Stoddart|2021|U.S.Patents|||
description: Related Article: Qing-Hui Guo|2019|CSD Communication|||
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.