cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.18968221
title: Additional file 1 of Procedural characteristics of pulmonary vein isolation with high-power short-duration setting compared to conventional setting

description: Additional file 1. The results of patient characteristics, procedural details of ablation and follow-up data after ablation procedures.
DOI: 10.6084/m9.figshare.18968221.v1
title: Additional file 1 of Procedural characteristics of pulmonary vein isolation with high-power short-duration setting compared to conventional setting

description: Additional file 1. The results of patient characteristics, procedural details of ablation and follow-up data after ablation procedures.
DOI: 10.25442/hku.17987081
title: Supporting data for ''Metal Oxide Films as Functional Materials for Optoelectronic Applications''

description: The data are about the preparation, characterization, and applications of our samples, such as ZnO, Ga2O3 films on sapphire substrates via pulsed laser deposition method. The device performance, such as organic light-emitting diodes, solar-blind photodetectors is also included in the file. The characterization results include the absorption spectra, SEM, XRD, XPS, and impedance analysis.
DOI: 10.25442/hku.17987081.v1
title: Supporting data for ''Metal Oxide Films as Functional Materials for Optoelectronic Applications''

description: The data are about the preparation, characterization, and applications of our samples, such as ZnO, Ga2O3 films on sapphire substrates via pulsed laser deposition method. The device performance, such as organic light-emitting diodes, solar-blind photodetectors is also included in the file. The characterization results include the absorption spectra, SEM, XRD, XPS, and impedance analysis.
DOI: 10.6084/m9.figshare.17096975
title: Tree-ring carbon-14 data for 1250-1295 CE

description: Carbon-14 concentrations in the tree rings of asunaro (Thujopsis dolabrata) excavated from the Shimokita Peninsula, Aomori Prefecture. Carbon-14 concentrations were measured at Yamagata University (YU-AMS).
DOI: 10.6084/m9.figshare.17096975.v6
title: Tree-ring carbon-14 data for 1250-1295 CE

description: Carbon-14 concentrations in the tree rings of asunaro (Thujopsis dolabrata) excavated from the Shimokita Peninsula, Aomori Prefecture. Carbon-14 concentrations were measured at Yamagata University (YU-AMS).
DOI: 10.6084/m9.figshare.17096975.v5
title: Tree-ring carbon-14 data for 1250-1295 CE

description: Carbon-14 concentrations in the tree rings of asunaro (Thujopsis dolabrata) excavated from the Shimokita Peninsula, Aomori Prefecture. Carbon-14 concentrations were measured at Yamagata University (YU-AMS).
DOI: 10.25442/hku.18092813
title: Supporting data for "Double-edged Sword Effects of Job Design on Knowledge Sharing and Knowledge Hiding: A Social Exchange Theory Perspective"

description: This dataset has been collected for my PhD thesis study using an online survey. It has the responses from 335 knowledge workers doing a variety of jobs across various knowledge-intensive industries of Pakistan. Of these 335 responses, 238 entries/responses, at the top of the dataset file, are from the main study while 97 responses, at the bottom of the file, are from the pilot study. Three responses out of main study are excluded because the respondents filled the survey questionnaire, however they did not provide the informed consent (ID 55, ID 143, and ID 180). Therefore, we did not consider these three responses in our data analysis. I analyzed the collected data and tested my thesis study research model using the partial least squares modelling in SmartPLS software Version 3.2.9.
DOI: 10.25442/hku.18092813.v1
title: Supporting data for "Double-edged Sword Effects of Job Design on Knowledge Sharing and Knowledge Hiding: A Social Exchange Theory Perspective"

description: This dataset has been collected for my PhD thesis study using an online survey. It has the responses from 335 knowledge workers doing a variety of jobs across various knowledge-intensive industries of Pakistan. Of these 335 responses, 238 entries/responses, at the top of the dataset file, are from the main study while 97 responses, at the bottom of the file, are from the pilot study. Three responses out of main study are excluded because the respondents filled the survey questionnaire, however they did not provide the informed consent (ID 55, ID 143, and ID 180). Therefore, we did not consider these three responses in our data analysis. I analyzed the collected data and tested my thesis study research model using the partial least squares modelling in SmartPLS software Version 3.2.9.
DOI: 10.25442/hku.18266873
title: Supporting data for “Halogen Bond-Catalyzed Friedel-Crafts, Povarov and Aziridine Ring-Opening Reactions”.

description: Halogen bond has been studied and applied in many fields, the use of halogen bond in the field of organocatalysis has only been reported in recent years. This study aims to extend the halogen bond catalysis with novel halogen bond donors and apply them as catalysts into many new contexts, including Friedel-Crafts reaction, Povarov reaction, and Aziridine ring-opening reaction. Many natural compounds such as arsindoline A, trisindoline, arundine, and vibrinddole A with interesting bioactivities were synthesized in high yields using the designed halogen bond donor catalysts. This dataset consists of detailed experimental procedures, mass spectrometry, and nuclear magnetic resonance spectroscopy.
DOI: 10.25442/hku.18266873.v1
title: Supporting data for “Halogen Bond-Catalyzed Friedel-Crafts, Povarov and Aziridine Ring-Opening Reactions”.

description: Halogen bond has been studied and applied in many fields, the use of halogen bond in the field of organocatalysis has only been reported in recent years. This study aims to extend the halogen bond catalysis with novel halogen bond donors and apply them as catalysts into many new contexts, including Friedel-Crafts reaction, Povarov reaction, and Aziridine ring-opening reaction. Many natural compounds such as arsindoline A, trisindoline, arundine, and vibrinddole A with interesting bioactivities were synthesized in high yields using the designed halogen bond donor catalysts. This dataset consists of detailed experimental procedures, mass spectrometry, and nuclear magnetic resonance spectroscopy.
DOI: 10.6084/m9.figshare.16620238.v2
title: A public dataset on long-distance running training in 2019 and 2020

description: This dataset contains 10,703,690 records of running training during 2019 and 2020, from 36,412 athletes from around the world. The records were obtained through web scraping of a large social network for athletes on the internet.<br>The data with the athletes' activities are contained in dataframe objects (tabular data) and saved in the Parquet file format using the Pandas library, part of the Python ecosystem for data science. Each Pandas dataframe contains the following data (as different columns) for each athlete (as different rows), the first word identifies the name of the column in the dataframe:- datetime: date of the running activity;- athlete: a computer-generated ID for the athlete (integer);- distance: distance of running (floating-point number, in kilometers);- duration: duration of running (floating-point number, in minutes);- gender: gender (string 'M' of 'F');- age_group: age interval (one of the strings '18 - 34', '35 - 54', or '55 +');- country: country of origin of the athlete (string);- major: marathon(s) and year(s) the athlete ran (comma-separated list of strings).<br>For convenience, we created files with the athletes' activities data sampled at different frequencies: day 'd', week 'w', month 'm', and quarter 'q' (i.e., there are files with the distance and duration of running accumulated at each day, week, month, and quarter) for each year, 2019 and 2020. Accordingly, the files are named 'run_ww_yyyy_f.parquet', where 'yyyy' is '2019' or '2020' and 'f' is 'd', 'w', 'm' or 'q' (without quotes). The dataset also contains data with different government’s stringency indexes for the COVID-19 pandemic. These data are saved as text files and were obtained from https://ourworldindata.org/covid-stringency-index. The Jupyter notebooks that we created and made available in the https://github.com/BMClab/covid19 repository exemplify the use of the data.
DOI: 10.21227/swf3-q867
title: All original data used in this paper

description: This document shows all the original data used in our paper.
DOI: 10.6084/m9.figshare.17111732
title: Supplementary Material for: Implementing Collaborative Care Management of Behavioral Health for Patients with Inflammatory Bowel Disease

description: Background Individuals with inflammatory bowel disease (IBD) are up to twice as likely to suffer from anxiety and/or depression. Collaborative care management (CoCM) is an evidenced-based approach to treating behavioral health disorders that has proven effective for a range of conditions in primary care and some specialty settings. This model involves a team-based approach, with care delivered by a care manager (case reviews and behavioral therapy), psychiatrist (case reviews and psychopharmacological recommendations), and medical provider (ongoing care including psychopharmacological prescriptions). We assessed the feasibility and effectiveness of CoCM in reducing anxiety and depressive symptoms in patients with IBD. Methods Patients with psychological distress identified by clinical impression and/or the results of the Patient Health Questionaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7) were referred to the CoCM program. Data from our 9-month CoCM pilot were collected to assess depression and anxiety response and remission rates. We obtained provider surveys to assess provider acceptability with delivering care in this model. Results Though the coronavirus SARS-CoV2 (COVID-19) pandemic interrupted screening, 39 patients enrolled and 19 active participants completed the program. Overall, 47.4% had either a response or remission in depression, while 36.8% had response or remission in anxiety. The gastroenterologists highly agreed that the program was a beneficial resource for their patients and felt comfortable implementing the recommendations. Discussion CoCM is a potentially feasible and well accepted care delivery model for treatment of depression and anxiety in patients with IBD in a specialty gastroenterology clinic setting
DOI: 10.6084/m9.figshare.17111732.v1
title: Supplementary Material for: Implementing Collaborative Care Management of Behavioral Health for Patients with Inflammatory Bowel Disease

description: Background Individuals with inflammatory bowel disease (IBD) are up to twice as likely to suffer from anxiety and/or depression. Collaborative care management (CoCM) is an evidenced-based approach to treating behavioral health disorders that has proven effective for a range of conditions in primary care and some specialty settings. This model involves a team-based approach, with care delivered by a care manager (case reviews and behavioral therapy), psychiatrist (case reviews and psychopharmacological recommendations), and medical provider (ongoing care including psychopharmacological prescriptions). We assessed the feasibility and effectiveness of CoCM in reducing anxiety and depressive symptoms in patients with IBD. Methods Patients with psychological distress identified by clinical impression and/or the results of the Patient Health Questionaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7) were referred to the CoCM program. Data from our 9-month CoCM pilot were collected to assess depression and anxiety response and remission rates. We obtained provider surveys to assess provider acceptability with delivering care in this model. Results Though the coronavirus SARS-CoV2 (COVID-19) pandemic interrupted screening, 39 patients enrolled and 19 active participants completed the program. Overall, 47.4% had either a response or remission in depression, while 36.8% had response or remission in anxiety. The gastroenterologists highly agreed that the program was a beneficial resource for their patients and felt comfortable implementing the recommendations. Discussion CoCM is a potentially feasible and well accepted care delivery model for treatment of depression and anxiety in patients with IBD in a specialty gastroenterology clinic setting
DOI: 10.34740/kaggle/dsv/3085001
title: Omicron daily cases by country (COVID-19 variant)
DOI: 10.6084/m9.figshare.18517916.v2
title: related analysis object

description: Spatial multi-omics reveals the niche-specific distribution and vulnerablity of stem-like cells in pediatric and adult malignant gliomas<br>related seurat object or m6a relate RDS file
DOI: 10.6084/m9.figshare.12852891
title: How did the DNA of a suspect get to the crime scene? A practical study in DNA transfer during lock-picking

description: Increasingly in courts, the source of forensic DNA trace evidence is not challenged by the defence. Instead, the issue relates to how the suspect’s DNA got to the crime scene, suggesting it arrived via a legitimate activity. Many burglaries are committed using a new lock-picking method called ‘foil impressioning’, which involves inserting aluminium foil into the lock. When DNA is recovered from this foil, suspects will say that they only cut the foil and sell or discard it, to be used later in lock-picking by someone else. This study elucidates the probabilities of recovering DNA profiles from aluminium foil in three situations: (1) when a person only cuts the foil, (2) when they cut and then use it for lock-picking and (3) when they cut it and someone else uses it for lock-picking. Using a Bayesian network, we conclude that the probability of recovering a person’s DNA profile from foil inside a picked lock is seven times higher if they picked the lock than if they only cut the foil. This study demonstrates how likelihood ratios based on probabilistic models of DNA transfer and persistence can now help the court address questions about the mode of deposition of DNA traces.
DOI: 10.6084/m9.figshare.12852891.v1
title: How did the DNA of a suspect get to the crime scene? A practical study in DNA transfer during lock-picking

description: Increasingly in courts, the source of forensic DNA trace evidence is not challenged by the defence. Instead, the issue relates to how the suspect’s DNA got to the crime scene, suggesting it arrived via a legitimate activity. Many burglaries are committed using a new lock-picking method called ‘foil impressioning’, which involves inserting aluminium foil into the lock. When DNA is recovered from this foil, suspects will say that they only cut the foil and sell or discard it, to be used later in lock-picking by someone else. This study elucidates the probabilities of recovering DNA profiles from aluminium foil in three situations: (1) when a person only cuts the foil, (2) when they cut and then use it for lock-picking and (3) when they cut it and someone else uses it for lock-picking. Using a Bayesian network, we conclude that the probability of recovering a person’s DNA profile from foil inside a picked lock is seven times higher if they picked the lock than if they only cut the foil. This study demonstrates how likelihood ratios based on probabilistic models of DNA transfer and persistence can now help the court address questions about the mode of deposition of DNA traces.
DOI: 10.6084/m9.figshare.11805795
title: Precision cardiovascular medicine: artificial intelligence and epigenetics for the pathogenesis and prediction of coarctation in neonates

description: Advances in omics and computational Artificial Intelligence (AI) have been said to be key to meeting the objectives of precision cardiovascular medicine. The focus of precision medicine includes a better assessment of disease risk and understanding of disease mechanisms. Our objective was to determine whether significant epigenetic changes occur in isolated, non-syndromic CoA. Further, we evaluated the AI analysis of DNA methylation for the prediction of CoA. Genome-wide DNA methylation analysis of newborn blood DNA was performed in 24 isolated, non-syndromic CoA cases and 16 controls using the Illumina HumanMethylation450 BeadChip arrays. Cytosine nucleotide (CpG) methylation changes in CoA in each of 450,000 CpG loci were determined. Ingenuity pathway analysis (IPA) was performed to identify molecular and disease pathways that were epigenetically dysregulated. Using methylation data, six artificial intelligence (AI) platforms including deep learning (DL) was used for CoA detection. We identified significant (FDR <i>p</i>-value ≤ .05) methylation changes in 65 different CpG sites located in 75 genes in CoA subjects. DL achieved an AUC (95% CI) = 0.97 (0.80–1) with 95% sensitivity and 98% specificity. Gene ontology (GO) analysis yielded epigenetic alterations in important cardiovascular developmental genes and biological processes: abnormal morphology of cardiovascular system, left ventricular dysfunction, heart conduction disorder, thrombus formation, and coronary artery disease. In an exploratory study we report the use of AI and epigenomics to achieve important objectives of precision cardiovascular medicine. Accurate prediction of CoA was achieved using a newborn blood spot. Further, we provided evidence of a significant epigenetic etiology in isolated CoA development.
DOI: 10.6084/m9.figshare.11805795.v1
title: Precision cardiovascular medicine: artificial intelligence and epigenetics for the pathogenesis and prediction of coarctation in neonates

description: Advances in omics and computational Artificial Intelligence (AI) have been said to be key to meeting the objectives of precision cardiovascular medicine. The focus of precision medicine includes a better assessment of disease risk and understanding of disease mechanisms. Our objective was to determine whether significant epigenetic changes occur in isolated, non-syndromic CoA. Further, we evaluated the AI analysis of DNA methylation for the prediction of CoA. Genome-wide DNA methylation analysis of newborn blood DNA was performed in 24 isolated, non-syndromic CoA cases and 16 controls using the Illumina HumanMethylation450 BeadChip arrays. Cytosine nucleotide (CpG) methylation changes in CoA in each of 450,000 CpG loci were determined. Ingenuity pathway analysis (IPA) was performed to identify molecular and disease pathways that were epigenetically dysregulated. Using methylation data, six artificial intelligence (AI) platforms including deep learning (DL) was used for CoA detection. We identified significant (FDR <i>p</i>-value ≤ .05) methylation changes in 65 different CpG sites located in 75 genes in CoA subjects. DL achieved an AUC (95% CI) = 0.97 (0.80–1) with 95% sensitivity and 98% specificity. Gene ontology (GO) analysis yielded epigenetic alterations in important cardiovascular developmental genes and biological processes: abnormal morphology of cardiovascular system, left ventricular dysfunction, heart conduction disorder, thrombus formation, and coronary artery disease. In an exploratory study we report the use of AI and epigenomics to achieve important objectives of precision cardiovascular medicine. Accurate prediction of CoA was achieved using a newborn blood spot. Further, we provided evidence of a significant epigenetic etiology in isolated CoA development.
DOI: 10.6084/m9.figshare.16413405.v2
title: Metadata for: DarkCideS 1.0, a global database for bats in karsts and caves

description: This database contains 4 major datasets. <br><br>1. The first dataset contains taxonomic checklists for all extant cave-dwelling bats species extracted from the expert-based International Union for the Conservation Union (IUCN) Red List database version 2020.1. It also contains the General metadata for traits included in the current version of the database: habitat preference, ecological status, feeding groups, geographical range, island endemism, geopolitical endemism, distribution range, biogeographical breadth, generation length, body mass, and threatening process.2. The second dataset contains the bat cave geographical location (latitude/longitude) and recorded species.3. The third dataset included in the database contains the measured land-use and landscape features of the cave surroundings using the georeferenced data from the second dataset.4. The fourth dataset lists the parasitic bat flies and their Laboulbeniales fungal hyperparasites associated with cave bats.
DOI: 10.6084/m9.figshare.17195072.v1
title: melon pangenome

description: We constructed a melon pangenome based on 297 accessions comprising 168 Mb novel sequences and 4,325 novel genes. The non-reference genome sequences and annotated genes were retrieved. This project includes a list of the dataset as follow.
DOI: 10.6084/m9.figshare.18972809.v1
title: 47, XYY mosaic karyotype and congenital absence of bilateral vas deferens Case report.rar

description: We report a rare case of infertility presenting with a 47, XYY mosaicism and congenital bilateral absence of vas deferens. With our patient's informed written consent, we performed a complete set of genetic tests for male infertility.
DOI: 10.5281/zenodo.5895662
title: Data of Self-Weight Consolidation Process of Water-Saturated Deltas on Mars and Earth

description: <strong>Data of the paper "Self-Weight Consolidation Process of Water-Saturated Deltas on Mars and Earth".</strong> This dataset includes five tables. <strong>Table S1</strong> is the original data of the measurements of the moisture content <em>w</em><sub>0</sub>, <strong>Table S2</strong> is the original data of the pycnometer test, which was conducted to obtain the specific gravity <em>G</em><sub>s</sub> of our samples, <strong>Table S3</strong> is the original data of the consolidation experiments, <strong>Table S4</strong> is the original data of the permeability experiments, and <strong>Table S</strong><strong>5</strong> is the martian global delta relief obtained by us based on MOLA data, which is used as the maximum thickness of a delta.
DOI: 10.17632/fn9gdmmx53.2
title: Job satisfaction and organizational commitment effect in the transformational leadership towards employee performance

description: The questionnaire of "Job satisfaction and organizational commitment effect in the transformational leadership towards employee performance".
DOI: 10.17632/76ng4f2xjp.1
title: Cable Force Optimization and Control of Hybrid Beam Cable-stayed Bridge Based on Distributed Algorithm

description: Manuscript of the whole work