cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20099706
title: Additional file 5 of Investigation of target sequencing of SARS-CoV-2 and immunogenic GWAS profiling in host cells of COVID-19 in Vietnam

description: Additional file 5. Table S4. Interferon Hadjadj: The overlapping SNPs between Interferon gene set (Hadjadj et al.) with GWAS significant set.
DOI: 10.6084/m9.figshare.20099709
title: Additional file 6 of Investigation of target sequencing of SARS-CoV-2 and immunogenic GWAS profiling in host cells of COVID-19 in Vietnam

description: Additional file 6. Table S5. Tcell Mann: The overlapping SNPs between Tcell gene set (Mann et al.) with GWAS significant set.
DOI: 10.6084/m9.figshare.20099712
title: Additional file 7 of Investigation of target sequencing of SARS-CoV-2 and immunogenic GWAS profiling in host cells of COVID-19 in Vietnam

description: Additional file 7. Table S6. All genset: The overlapping SNPs between all gene set with GWAS significant set.
DOI: 10.6084/m9.figshare.20099712.v1
title: Additional file 7 of Investigation of target sequencing of SARS-CoV-2 and immunogenic GWAS profiling in host cells of COVID-19 in Vietnam

description: Additional file 7. Table S6. All genset: The overlapping SNPs between all gene set with GWAS significant set.
DOI: 10.6084/m9.figshare.20099709.v1
title: Additional file 6 of Investigation of target sequencing of SARS-CoV-2 and immunogenic GWAS profiling in host cells of COVID-19 in Vietnam

description: Additional file 6. Table S5. Tcell Mann: The overlapping SNPs between Tcell gene set (Mann et al.) with GWAS significant set.
DOI: 10.6084/m9.figshare.20099724.v1
title: Additional file 3 of Aging gut microbiota of wild macaques are equally diverse, less stable, but progressively personalized

description: Additional file 2: Supplementary file 2: Table S1-2. Taxonomic characterization of the gut bacterial communities of adult female Assamese macaques. Table S4. Diversity of the gut bacterial community does not vary with age. Table S5. Relative abundance of rare bacterial taxa changes with age. Table S6. Taxonomic composition of the Assamese macaques females gut microbiota at the Phylum, Class, Order and Genus level. Table S7-8. Gut bacterial composition exhibits a personal signature and stability decreases with age. Table S9. Personalization of gut bacterial communities increases with age. Table S12. Progressive decreasing social activity with age as a possible driver of gut bacteria personalization. Table S13-15. Results based on the unfiltered dataset for spurious sequences (see methods section of the main text for details).
DOI: 10.6084/m9.figshare.20099724
title: Additional file 3 of Aging gut microbiota of wild macaques are equally diverse, less stable, but progressively personalized

description: Additional file 2: Supplementary file 2: Table S1-2. Taxonomic characterization of the gut bacterial communities of adult female Assamese macaques. Table S4. Diversity of the gut bacterial community does not vary with age. Table S5. Relative abundance of rare bacterial taxa changes with age. Table S6. Taxonomic composition of the Assamese macaques females gut microbiota at the Phylum, Class, Order and Genus level. Table S7-8. Gut bacterial composition exhibits a personal signature and stability decreases with age. Table S9. Personalization of gut bacterial communities increases with age. Table S12. Progressive decreasing social activity with age as a possible driver of gut bacteria personalization. Table S13-15. Results based on the unfiltered dataset for spurious sequences (see methods section of the main text for details).
DOI: 10.25442/hku.20012117
title: Supporting data for "Functional study of IFIRM in influenza A virus infection and the development of COVID-19 vaccine and diagnostic"

description: This is the complete dataset for the PhD thesis. File directory and details can be found in README.txt. All unprocessed and processed data involve in the thesis were included. The DMP of this project thesis was also included. <br> Data for Chapter 4: Recombinant protein as COVID-19 nasal vaccine booster was published in https://doi.org/10.1080/22221751.2022.2053365 <br> Data for Chapter 5: Development of orf8-based COVID-19 diagnostic tool was published in https://doi.org/10.1128/mBio.02431-20 and https://doi.org/10.1080/22221751.2021.1931465 <br> Data for Chapter 6: SARS-CoV-2 virus evolution and mutations was published in https://doi.org/10.1080/22221751.2020.1852892
DOI: 10.25442/hku.20012117.v1
title: Supporting data for "Functional study of IFIRM in influenza A virus infection and the development of COVID-19 vaccine and diagnostic"

description: This is the complete dataset for the PhD thesis. File directory and details can be found in README.txt. All unprocessed and processed data involve in the thesis were included. The DMP of this project thesis was also included. <br> Data for Chapter 4: Recombinant protein as COVID-19 nasal vaccine booster was published in https://doi.org/10.1080/22221751.2022.2053365 <br> Data for Chapter 5: Development of orf8-based COVID-19 diagnostic tool was published in https://doi.org/10.1128/mBio.02431-20 and https://doi.org/10.1080/22221751.2021.1931465 <br> Data for Chapter 6: SARS-CoV-2 virus evolution and mutations was published in https://doi.org/10.1080/22221751.2020.1852892
DOI: 10.6084/m9.figshare.20099636
title: Data_List_Personality_traits_attitude_and_intention_to_vaccinate_against_COVID_19.xlsx

description: This study conducted an online-based anonymous survey using a questionnaire. The research team used Google Forms. The link was disseminated in Facebook Group Page and Chats of the Occidental Mindoro State College and circulated the survey link to their network members. This study was approved by the Occidental Mindoro State College Research and Extension Council. The online survey has attached information on the research objectives as well as the significance and importance of the study. Participation in the study was voluntary and this was explained to the participants that they have the option to answer the questionnaire or not. Participant were informed of right to withdraw from research or limit participation if they become uncomfortable. Participant were also informed that the refusal to participate in the study or when there is a decision to withdraw from the study will not affect the health services they will be receiving. Also, the respondents were informed that there will be no further study-related activities after the survey. Likewise, the participants were advised that they can be provided the result of the study once they express the interest to know the results after the analysis and after completion of the final draft. The conduct of the survey complied with the policy stated in the Philippine Republic Act No 10173 or the Data Privacy Act of 2012. Complete anonymity of the research participants were observed. Email were collected but only for assurance that there will be no duplication of response. Specific information on the questionnaires could not be linked to specific individuals. Access to the data were limited to the researchers only. Unless required by law, the name of the participants will not be disclosed outside the research clinic. Names are available only to the following people or agencies: the principal investigator and staff; and authorized representatives of the principal investigator; ethics committees and health authority.
DOI: 10.6084/m9.figshare.20099636.v1
title: Data_List_Personality_traits_attitude_and_intention_to_vaccinate_against_COVID_19.xlsx

description: This study conducted an online-based anonymous survey using a questionnaire. The research team used Google Forms. The link was disseminated in Facebook Group Page and Chats of the Occidental Mindoro State College and circulated the survey link to their network members. This study was approved by the Occidental Mindoro State College Research and Extension Council. The online survey has attached information on the research objectives as well as the significance and importance of the study. Participation in the study was voluntary and this was explained to the participants that they have the option to answer the questionnaire or not. Participant were informed of right to withdraw from research or limit participation if they become uncomfortable. Participant were also informed that the refusal to participate in the study or when there is a decision to withdraw from the study will not affect the health services they will be receiving. Also, the respondents were informed that there will be no further study-related activities after the survey. Likewise, the participants were advised that they can be provided the result of the study once they express the interest to know the results after the analysis and after completion of the final draft. The conduct of the survey complied with the policy stated in the Philippine Republic Act No 10173 or the Data Privacy Act of 2012. Complete anonymity of the research participants were observed. Email were collected but only for assurance that there will be no duplication of response. Specific information on the questionnaires could not be linked to specific individuals. Access to the data were limited to the researchers only. Unless required by law, the name of the participants will not be disclosed outside the research clinic. Names are available only to the following people or agencies: the principal investigator and staff; and authorized representatives of the principal investigator; ethics committees and health authority.
DOI: 10.6084/m9.figshare.14753355
title: Imputed high-denisty SNP

description: 15142178 high-confidence genome-wide SNPs of 1839 individuals
DOI: 10.6084/m9.figshare.14753355.v1
title: Imputed high-denisty SNP

description: 15142178 high-confidence genome-wide SNPs of 1839 individuals
DOI: 10.6084/m9.figshare.19522255.v8
title: Data scientist search behaviour

description: The repo contains artifacts of survey study and interviews with data scientists on understanding their search behaviour in online resources.
DOI: 10.25442/hku.20037092
title: Supporting data for "Psychosocial distress in Gynaecological Cancer Patients in Ethiopia"

description: The data is collected to study the Psychosocial distress of Gynaecological cancer patients in Ethiopia. This quantitative data was collected between July 2021 to December 2021 using a structured questionnaire from patients in public and private hospitals in Addis Ababa, Ethiopia.
DOI: 10.25442/hku.20037092.v1
title: Supporting data for "Psychosocial distress in Gynaecological Cancer Patients in Ethiopia"

description: The data is collected to study the Psychosocial distress of Gynaecological cancer patients in Ethiopia. This quantitative data was collected between July 2021 to December 2021 using a structured questionnaire from patients in public and private hospitals in Addis Ababa, Ethiopia.
DOI: 10.34740/kaggle/ds/1534148
title: Ar-MGC: Arabic Music Genre Classification Dataset
DOI: 10.25919/c53m-ts57
title: Complex multiple introductions drive fall armyworm invasions into Asia and Australia: Genome-wide single nucleotide polymorphic (SNP) loci of fall armyworm (FAW) Spodoptera frugiperda from Southeast Asia, East Asia, and Pacifi/Australia.

description: Fall armyworm (FAW) Spodoptera frugiperda adults and/or larvae populations sampled from field or as laboratory-maintained cultures. Populations were obtained from Southeast Asia (Myanmar, Lao DPR, Vietnam, Malaysia, Philippines), East Asia (South Korea), Pacific/Australia (Papua New Guinea) and Australia (Western Australia, Northern Territory, Queensland, New South Wales)
DOI: 10.34740/kaggle/dsv/3833050
title: Russian Invasion of Ukraine
DOI: 10.5281/zenodo.6668320
title: Datasets used for Publication "Contribution of Non-Water Ices to Salinity and Electrical Conductivity in Ocean Worlds" - Geophysical Research Letters

description: These files father the output data used in the figures published in the Geophysical Research paper: <strong>Contribution of Non-Water Ices to Salinity and Electrical Conductivity in Ocean Worlds</strong> One output file may be used for multiple figures, as indicated in the name of the Excel spreadsheet.
DOI: 10.5281/zenodo.6668319
title: Datasets used for Publication "Contribution of Non-Water Ices to Salinity and Electrical Conductivity in Ocean Worlds" - Geophysical Research Letters

description: These files father the output data used in the figures published in the Geophysical Research paper: <strong>Contribution of Non-Water Ices to Salinity and Electrical Conductivity in Ocean Worlds</strong> One output file may be used for multiple figures, as indicated in the name of the Excel spreadsheet.
DOI: 10.6084/m9.figshare.20099042.v1
title: Source data

description: Source data for Spatial patterns and quantification of lacustrine groundwater discharge determined based on <sup>222</sup>Rn
DOI: 10.5281/zenodo.6668361
title: How drought events during the last Century have impacted biomass carbon in Amazonian rainforests

description: Dataset for producing figures in Yao et al, in submission to Global Change Biology
DOI: 10.15156/bio/sh0942023.10fu
title: SH0942023.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0942024.10fu
title: SH0942024.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0942025.10fu
title: SH0942025.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0942026.10fu
title: SH0942026.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0942027.10fu
title: SH0942027.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0942028.10fu
title: SH0942028.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0942029.10fu
title: SH0942029.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0942030.10fu
title: SH0942030.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0942031.10fu
title: SH0942031.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.