cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25442/hku.14763065.v1
title: Supporting data for " Block Co-polymer Metal Organic Cage Micelles: Towards Unimolecular, Atomically Precise and Highly Addressable Composite Nanoparticles"

description: The dataset includes original record of experimental protocols, raw data, and analyzed figures for thesis. It's also accompanied with research slides from our regular group meeting. The thesis describes the synthesis of atomcially precise nanoparticles and their applications in nanomedicine, which is assembled via a directed, stepwise strategy by integrating metal-organic polydedral complexes and sequence defined peptoids. The dataset contains a variety of original data that support the thesis. For example, the NMR and LC-MS help to identify the small molecular, polymers and peptoids. The Uv-vis can characterize the structure integrity of metal-organic complexes. DLS and TEM are used to measure their sizes and morphologies. Native mass spectroscopy can identify the atom-precision features of the nanoparticle. Fluorescence is used to measure the critical micelle concentration and fluorescence resonance energy transfer. Research slides regarding to the projects are also shared.
DOI: 10.6084/m9.figshare.14827959.v1
title: SHAW_CHT_Results.zip

description: This item provide the results of a control experiment about investigating the impacts of convective heat transfer (CHT) on permafrost active layer thermal regime. We applied the Simultaneous Heat and Water (SHAW) model to investigate the impacts of CHT on active layer thermal dynamics on the Tanggula station, a typical permafrost site located at the eastern Qinghai-Tibetan Plateau. The control experiment includes three setups: (1) the original SHAW model with full consideration of CHT; (2) a modified SHAW model ignoring the CHT due to infiltration from the surface, and (3) a modified SHAW model ignoring complete CHT processes in the system. By comparing the differences between the simulated soil temperature and water content of the three setups, the impacts of CHT on active layer could be quantified.<br>The source codes of Simultaneous Heat and Water (SHAW) Model can be freely downloaded from USDA Agricultural Research Service (https://www.ars.usda.gov/pacific-west-area/boise-id/northwest-watershed-research-center/docs/shaw-model/). The meteorological driving data and measured temperature and moisture data of active layer at the Tanggula site under study can be downloaded from National Cryosphere Desert Data Center (https://www.ncdc.ac.cn/portal/)
DOI: 10.25934/00003418.0
title: Available IPD datapackage for study 'A Randomised, Double-Blind, Placebo-Controlled, Parallel-Group Efficacy and Safety Comparison of One-Year Treatment of Two Doses (5mg and 10mg) of Tiotropium Inhalation Solution Delivered by the Respimat Device in Patients With Chronic Obstructive Pulmonary Disease (COPD)'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25934/00003418.1
title: IPD datapackage for study 'A Randomised, Double-Blind, Placebo-Controlled, Parallel-Group Efficacy and Safety Comparison of One-Year Treatment of Two Doses (5mg and 10mg) of Tiotropium Inhalation Solution Delivered by the Respimat Device in Patients With Chronic Obstructive Pulmonary Disease (COPD)' and research request: 'Heterogeneity in relative treatment efficacy by age, sex, socioeconomic status and comorbidity (McAllister)'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.5517/ccdc.csd.cc2686k8
title: CCDC 2033679: Experimental Crystal Structure Determination

description: Related Article: Ying-Qi Zhang, Yi-Ping Zhang, Yan-Xin Zheng, Zhao-Yang Li, Long-Wu Ye|2021|Cell Reports Physical Science|2|100448|doi:10.1016/j.xcrp.2021.100448
DOI: 10.5517/ccdc.csd.cc2686mb
title: CCDC 2033681: Experimental Crystal Structure Determination

description: Related Article: Ying-Qi Zhang, Yi-Ping Zhang, Yan-Xin Zheng, Zhao-Yang Li, Long-Wu Ye|2021|Cell Reports Physical Science|2|100448|doi:10.1016/j.xcrp.2021.100448
DOI: 10.5281/zenodo.5023944
title: Rupture Process of the 2020 Mw7.0 Samos earthquake and its effect on surrounding active faults

description: Here we have archived available geodetic and strong motion data that accompany the article 'Rupture Process of the 2020 Mw7.0 Samos earthquake and its effect on surrounding active faults'.
DOI: 10.5281/zenodo.5023943
title: Rupture Process of the 2020 Mw7.0 Samos earthquake and its effect on surrounding active faults

description: Here we have archived available geodetic and strong motion data that accompany the article 'Rupture Process of the 2020 Mw7.0 Samos earthquake and its effect on surrounding active faults'.
DOI: 10.5517/ccdc.csd.cc271tsx
title: CCDC 2057339: Experimental Crystal Structure Determination

description: Related Article: Prashant Kumar, Rajendra P. Shirke, Sonu Yadav, S. S. V. Ramasastry|2021|Org.Lett.|23|4909|doi:10.1021/acs.orglett.1c01671
DOI: 10.5517/ccdc.csd.cc271zx6
title: CCDC 2057498: Experimental Crystal Structure Determination

description: Related Article: Prashant Kumar, Rajendra P. Shirke, Sonu Yadav, S. S. V. Ramasastry|2021|Org.Lett.|23|4909|doi:10.1021/acs.orglett.1c01671
DOI: 10.25442/hku.14778717
title: Supporting data for "University governance and academic work in a neoliberal landscape of higher education: Preparation for Research Assessment Exercise (RAE) 2020 in Hong Kong"

description: Interview data with 16 RAE-eligible academics in Social Sciences and Education from two UGC-funded universities in Hong Kong <br><b>Participants:</b> A purposive snowballing sampling approach was adopted to invite sixteen RAE-eligible academic staff at Institutions A and B. These participants were at different academic stages (seven professors, three associate professors and six assistant professors). Seven had experiences in managing the RAE exercises and performed different administrative duties, e.g., research governance, knowledge transfer activities, faculty/department management. <br><b>Data collection procedure: </b>After receiving ethical approval from the university, I conducted semi-structured and text-based interviews with the 16 participants individually from October 2019 to October 2020, immediately after the census date for RAE 2020 in Hong Kong (30 September 2019). The participants’ academic profile and research publications, retrieved from their official websites, were studied in advance before the interview. During each individual interview, I would first briefly illustrate the focus of my Ph.D. project and the topic areas that would be covered in the interview questions. The participants were also encouraged to elaborate on any information they feel appropriate. English or Mandarin Chinese was used during the face-to-face interviews. For the interviews conducted in Chinese, English words and phrases (e.g., “3*/4*”, “SSCI”) were frequently used. The length of each individual interview ranged from 40 minutes to 70 minutes, with the average length being around 60 minutes. Interviews were conducted and audio-recorded with informed consent. Compensation was provided to appreciate their collaboration and support, upon their completion of the interviews.<br>
DOI: 10.25442/hku.14778717.v1
title: Supporting data for "University governance and academic work in a neoliberal landscape of higher education: Preparation for Research Assessment Exercise (RAE) 2020 in Hong Kong"

description: Interview data with 16 RAE-eligible academics in Social Sciences and Education from two UGC-funded universities in Hong Kong <br><b>Participants:</b> A purposive snowballing sampling approach was adopted to invite sixteen RAE-eligible academic staff at Institutions A and B. These participants were at different academic stages (seven professors, three associate professors and six assistant professors). Seven had experiences in managing the RAE exercises and performed different administrative duties, e.g., research governance, knowledge transfer activities, faculty/department management. <br><b>Data collection procedure: </b>After receiving ethical approval from the university, I conducted semi-structured and text-based interviews with the 16 participants individually from October 2019 to October 2020, immediately after the census date for RAE 2020 in Hong Kong (30 September 2019). The participants’ academic profile and research publications, retrieved from their official websites, were studied in advance before the interview. During each individual interview, I would first briefly illustrate the focus of my Ph.D. project and the topic areas that would be covered in the interview questions. The participants were also encouraged to elaborate on any information they feel appropriate. English or Mandarin Chinese was used during the face-to-face interviews. For the interviews conducted in Chinese, English words and phrases (e.g., “3*/4*”, “SSCI”) were frequently used. The length of each individual interview ranged from 40 minutes to 70 minutes, with the average length being around 60 minutes. Interviews were conducted and audio-recorded with informed consent. Compensation was provided to appreciate their collaboration and support, upon their completion of the interviews.<br>
DOI: 10.25442/hku.14782287
title: Supporting data for “The Reasons for Joining or Not Joining an Outreach Kindergarten Dental Service: A Qualitative Study”

description: <br>The dataset includes interview transcripts for the qualitative study about the reasons for joining or not joining an outreach kindergarten programme, both in text and in pdf files. Principals who had adopted the outreach dental programme in Hong Kong were purposefully selected for the interviews. The interviews collected the selected eight principals’ perspectives regarding the adoption and experience of this kindergarten-based dental programme. <br>
DOI: 10.25442/hku.14782287.v1
title: Supporting data for “The Reasons for Joining or Not Joining an Outreach Kindergarten Dental Service: A Qualitative Study”

description: <br>The dataset includes interview transcripts for the qualitative study about the reasons for joining or not joining an outreach kindergarten programme, both in text and in pdf files. Principals who had adopted the outreach dental programme in Hong Kong were purposefully selected for the interviews. The interviews collected the selected eight principals’ perspectives regarding the adoption and experience of this kindergarten-based dental programme. <br>
DOI: 10.25442/hku.14797599
title: Supporting data for "A metagenomic and metabolomic approach in unraveling the reactivity of modeled multi-species freshwater biofilms exposed to emerging pollutants"

description: this dataset includes metabolomics data, scanning electron microscopy raw pictures, 16s rRNA sequencing data and ICP-MS/MS data
DOI: 10.25442/hku.14797599.v1
title: Supporting data for "A metagenomic and metabolomic approach in unraveling the reactivity of modeled multi-species freshwater biofilms exposed to emerging pollutants"

description: this dataset includes metabolomics data, scanning electron microscopy raw pictures, 16s rRNA sequencing data and ICP-MS/MS data
DOI: 10.6084/m9.figshare.14269367.v2
title: 29Si_M(II)_Support

description: Dataset pertaining to our research on covalency correlations measured through 29Si NMR spectroscopy
DOI: 10.6084/m9.figshare.14269367.v1
title: 29Si_M(II)_Support

description: Dataset pertaining to our research on covalency correlations measured through 29Si NMR spectroscopy
DOI: 10.5281/zenodo.5024250
title: CircRPPH1 promotes cell proliferation, migration and invasion of non-small cell lung cancer (NSCLC) via the PI3K/AKT and JAK2/STAT3 signaling axes

description: original numerical data before creating graphs
DOI: 10.5281/zenodo.5024249
title: CircRPPH1 promotes cell proliferation, migration and invasion of non-small cell lung cancer (NSCLC) via the PI3K/AKT and JAK2/STAT3 signaling axes

description: original numerical data before creating graphs
DOI: 10.5281/zenodo.4506617
title: Global climate fields for the early Cambrian simulated using the FOAM ocean-atmosphere general circulation model

description: These files contain the necessary data and R scripts for the manuscript "Quantitative comparison of geological data and climate simulations constrains early Cambrian geography and climate". The files include the NetCDF output of early Cambrian global climate simulations conducted using the coupled ocean-atmosphere FOAM general circulation model. The files include four hypothesized early Cambrian continental configurations, the topography-bathymetry files of which are also supplied. Global climate fields were simulated for each continental configuration at six greenhouse gas forcings: 4, 8, 16, 32, 64, and 128 times pre-industrial atmospheric level (PAL = 280 ppm). Simulations for all greenhouse gas forcings were run using present day orbital parameters. Additionally, there are cold and hot summer orbital parameter (CS and HS) and high and low obliquity orbital parameter (OH and OL) simulations at 32 PAL CO2. Also included is a compilation of lower Cambrian climatically sensitive lithologies. Finally, two R scripts are included: one to convert the climate model outputs to Köppen-Geiger climate classes, and the other to quantitatively compare geological data and climate simulations. The reader is referred to the associated paper for a full description of the model boundary conditions, the lithology data, and the data-model comparison methods.
description: NERC (CENTA) PhD studentship NE/L0022493/1 BGS University Funding Initiative (BUFI) S266 Ghent University Special Research Fund (BOF) Fellowship 01P12419 Marie Sklodowska-Curie grant agreement No. 838373
DOI: 10.5281/zenodo.4091166
title: Global climate fields for the early Cambrian simulated using the FOAM ocean-atmosphere general circulation model

description: These files contain the necessary data and R scripts for the manuscript "Quantitative comparison of geological data and climate simulations constrains early Cambrian geography and climate". The files include the NetCDF output of early Cambrian global climate simulations conducted using the coupled ocean-atmosphere FOAM general circulation model. The files include four hypothesized early Cambrian continental configurations, the topography-bathymetry files of which are also supplied. Global climate fields were simulated for each continental configuration at six greenhouse gas forcings: 4, 8, 16, 32, 64, and 128 times pre-industrial atmospheric level (PAL = 280 ppm). Simulations for all greenhouse gas forcings were run using present day orbital parameters. Additionally, there are cold and hot summer orbital parameter (CS and HS) and high and low obliquity orbital parameter (OH and OL) simulations at 32 PAL CO2. Also included is a compilation of lower Cambrian climatically sensitive lithologies. Finally, two R scripts are included: one to convert the climate model outputs to Köppen-Geiger climate classes, and the other to quantitatively compare geological data and climate simulations. The reader is referred to the associated paper for a full description of the model boundary conditions, the lithology data, and the data-model comparison methods.
description: NERC (CENTA) PhD studentship NE/L0022493/1 BGS University Funding Initiative (BUFI) S266 Ghent University Special Research Fund (BOF) Fellowship 01P12419 Marie Sklodowska-Curie grant agreement No. 838373
DOI: 10.34740/kaggle/ds/1396185
title: Star-Galaxy Classification Data
DOI: 10.25345/c5ff9f
title: MassIVE MSV000087696 - In-solution digestion of recombinant SARS-CoV-2 spike protein
title: In-solution digestion of recombinant SARS-CoV-2 spike protein
DOI: 10.5281/zenodo.4971891
title: Sample data for iTALK

description: The example data for the tutorial of iTALK, downloaded from https://github.com/Coolgenome/iTALK.
DOI: 10.5281/zenodo.4971890
title: Sample data for iTALK

description: The example data for the tutorial of iTALK, downloaded from https://github.com/Coolgenome/iTALK.
DOI: 10.5281/zenodo.5024466
title: Sample data for CellPhoneDB

description: Sample data for the example test of CellPhoneDB, downloaded from https://github.com/Teichlab/cellphonedb
DOI: 10.5281/zenodo.5024465
title: Sample data for CellPhoneDB

description: Sample data for the example test of CellPhoneDB, downloaded from https://github.com/Teichlab/cellphonedb
DOI: 10.5281/zenodo.3747401
title: Dataset of maternal thyroid hormones transfer in Pied flycatchers

description: This is the dataset of an experiment conducted on Pied flycatchers (<em>Ficedula hypoleuca</em>) in which we manipulated thyroid hormones in the mother's circulation. This dataset contains all the responses measured in this experiment.
DOI: 10.5281/zenodo.3747400
title: Dataset of maternal thyroid hormones transfer in Pied flycatchers

description: This is the dataset of an experiment conducted on Pied flycatchers (<em>Ficedula hypoleuca</em>) in which we manipulated thyroid hormones in the mother's circulation. This dataset contains all the responses measured in this experiment.
DOI: 10.6084/m9.figshare.14837595
title: minimal dataset

description: Fine grained classification method and a fine grained data set
DOI: 10.6084/m9.figshare.14837595.v1
title: minimal dataset

description: Fine grained classification method and a fine grained data set
DOI: 10.34740/kaggle/dsv/2365326
title: Simple Parametric Representation of the HH Model
DOI: 10.6084/m9.figshare.14837793
title: Supplementary Material for: Characteristics, Management, and Case-Fatality of Patients Hospitalized for Stroke with a Diagnosis of COVID-19 in France

description: <b><i>Introduction:</i></b> COVID-19 was found to be associated with an increased risk of stroke. This study aimed to compare characteristics, management, and outcomes of hospitalized stroke patients with or without a hospital diagnosis of CO­VID-19 at a nationwide scale. <b><i>Methods:</i></b> This is a cross-sectional study on all French hospitals covering the entire French population using the French national hospital discharge databases (<i>Programme de Médicalisation des Systèmes d’Information</i>, included in the <i>Système National des Données de Santé</i>). All patients hospitalized for stroke between 1 January and 14 June 2020 in France were selected. A diagnosis of COVID-19 was searched for during the index hospitalization for stroke or in a prior hospitalization that had occurred after 1 January 2020. <b><i>Results:</i></b> Among the 56,195 patients hospitalized for stroke, 800 (1.4%) had a concomitant COVID-19 diagnosis. Inhospital case-fatality rates were higher in stroke patients with COVID-19, particularly for patients with a primary diagnosis of COVID-19 (33.2%), as compared to patients hospitalized for stroke without CO­VID-19 diagnosis (14.1%). Similar findings were observed for 3-month case-fatality rates adjusted for age and sex that reached 41.7% in patients hospitalized for stroke with a concomitant primary diagnosis of COVID-19 versus 20.0% in strokes without COVID-19. <b><i>Conclusion:</i></b> Patients hospitalized for stroke with a concomitant COVID-19 diagnosis had a higher inhospital and 3 months case-fatality rates compared to patients hospitalized for stroke without a COVID-19 diagnosis. Further research is needed to better understand the excess of mortality related to these cases.
DOI: 10.6084/m9.figshare.14837793.v1
title: Supplementary Material for: Characteristics, Management, and Case-Fatality of Patients Hospitalized for Stroke with a Diagnosis of COVID-19 in France

description: <b><i>Introduction:</i></b> COVID-19 was found to be associated with an increased risk of stroke. This study aimed to compare characteristics, management, and outcomes of hospitalized stroke patients with or without a hospital diagnosis of CO­VID-19 at a nationwide scale. <b><i>Methods:</i></b> This is a cross-sectional study on all French hospitals covering the entire French population using the French national hospital discharge databases (<i>Programme de Médicalisation des Systèmes d’Information</i>, included in the <i>Système National des Données de Santé</i>). All patients hospitalized for stroke between 1 January and 14 June 2020 in France were selected. A diagnosis of COVID-19 was searched for during the index hospitalization for stroke or in a prior hospitalization that had occurred after 1 January 2020. <b><i>Results:</i></b> Among the 56,195 patients hospitalized for stroke, 800 (1.4%) had a concomitant COVID-19 diagnosis. Inhospital case-fatality rates were higher in stroke patients with COVID-19, particularly for patients with a primary diagnosis of COVID-19 (33.2%), as compared to patients hospitalized for stroke without CO­VID-19 diagnosis (14.1%). Similar findings were observed for 3-month case-fatality rates adjusted for age and sex that reached 41.7% in patients hospitalized for stroke with a concomitant primary diagnosis of COVID-19 versus 20.0% in strokes without COVID-19. <b><i>Conclusion:</i></b> Patients hospitalized for stroke with a concomitant COVID-19 diagnosis had a higher inhospital and 3 months case-fatality rates compared to patients hospitalized for stroke without a COVID-19 diagnosis. Further research is needed to better understand the excess of mortality related to these cases.
DOI: 10.6084/m9.figshare.5117254
title: dft-vdw-range

description: This repository contains all resources to the unedited Author’s version of a Submitted Work that was subsequently accepted for publication in Journal of Chemical Theory and Computation, copyright © American Chemical Society after peer review. To access the final editedand published work see DOI acs.jctc.7b01172.<br>
DOI: 10.6084/m9.figshare.14822979
title: Urban Coastal Habitat Data Mazor et al. (2021) One Earth: Cell Press

description: Data that underpins the analysis in the paper Mazor et al. (2021) One Earth. Datasets shows the connection of urban areas with habitat, and the analysis of Conservation Potential (CP) at both the 10km Buffer and 50 km Buffer.
DOI: 10.6084/m9.figshare.14269367
title: 29Si_M(II)_Support

description: Dataset pertaining to our research on covalency correlations measured through 29Si NMR spectroscopy
DOI: 10.6084/m9.figshare.14785323
title: Appendix 7.3 Data of sentiment analysis on Hong Kong-related WeChat narratives

description: This dataset contains the sentiment data of the Hong Kong-related WeChat narratives.
DOI: 10.6084/m9.figshare.14785323.v2
title: Appendix 7.3 Data of sentiment analysis on Hong Kong-related WeChat narratives

description: This dataset contains the sentiment data of the Hong Kong-related WeChat narratives.
DOI: 10.6084/m9.figshare.14785323.v1
title: Appendix 7.2 Data of sentiment analysis on Hong Kong-related WeChat narratives

description: This dataset contains the sentiment data of the Hong Kong-related WeChat narratives.
DOI: 10.5519/qd.n5na5eya
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1837 records)
DOI: 10.6084/m9.figshare.14837835.v1
title: SLAW parameters

description: SLAW parameters file used in the different experiment after optimization<br>
DOI: 10.6084/m9.figshare.14837835
title: SLAW parameters

description: SLAW parameters file used in the different experiment after optimization<br>