cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/dshngs52gs.1
title: Fintech, Foreign Bank Presence and Inclusive Finance

description: The research examined the direct effect of fintech and foreign bank presence on inclusive finance for 28 African countries spanning 2000-2018. We also determine the moderation role of foreign bank presence on the nexus between fintech and inclusive finance.


We use two different proxies for fintech such as mobile phone used to make payments (age 15+) and mobile phones used to send money (age 15+) where the data was sourced from Global Financial Development Database (GFD).  As a measure of the foreign bank presence (FBE), we used the percentage of assets of foreign banks in relation to the total assets of universal banks which was sourced from Bankscope. We employed Principal Analysis to generate Inclusive finance Index (IFI) using six variables such as commercial bank branches per 100,000 adults, depositors with commercial banks per 1000 adults, borrowers from commercial banks per 1000 adults, ATMs per 100,000 adults, bank branches per 100,000 adults and bank account per 1000 adults. The variables were collected from IMF.
The control variables include; bank competition, bank spread, bank concentration, institutional quality, bank stability, education and population growth. Boone indicator is used to measure bank competition and was sourced from GFD. We proxy bank spread with bank lending-deposit spread which is sourced from GFD. Bank concentration (%) which was sourced GFD was employed as a measure of bank concentration. We considered population growth based on the extant literature that when there is increase in population growth, inclusive finance will reduce, hence, we used population growth rate (% annual) as a proxy for population changes. We utilized an average of six indicators of institutional quality to make a composite institutional quality index and was source from World Governance indicators (WGI). These six (6) indicators include 1. corruption control, 2. rule of law, 3. government effectiveness, 4. quality of regulation, 5. political stability and absence of violence, and 6. voice and accountability. When people attain higher education, the more likely they will get access to all financial resources, therefore, we utilized education as part of the predictors for the study and proxy it with secondary school enrolment. The stability of financial sector builds confidence for the financial sector which reduce fear and panic of depositors. Based on that premises and extant literature, we controlled for banks’ stability and proxied it with bank’s Z-score.

Our results revealed that fintech increases the level of inclusive finance and the impact was higher when IFI when used as a proxy for inclusive finance as compared to the individual measure of inclusive finance. Unlike fintech,  FBE only enhance some of the individual measure of inclusive finance whilst it does not have any statistical effect on IFI. Finally, the results showed that FBE serve as a catalyst which helped fintech to further enhance inclusive finance.
DOI: 10.17632/2vxy6wzt4m.1
title: Explainable Machine Learning (XML) to predict external wind pressure of a low-rise building in urban-like settings

description: This data set include external pressure coefficients of a flat roofed building in an urban setting
DOI: 10.6084/m9.figshare.21205562
title: Semantic activation in badminton action processing and its modulation by action duration: An ERP study

description: ERP evoked by the target words primed by long-congruent, long-incongruent, short-congruent, and short-incongruent videos.
DOI: 10.6084/m9.figshare.21205562.v1
title: Semantic activation in badminton action processing and its modulation by action duration: An ERP study

description: ERP evoked by the target words primed by long-congruent, long-incongruent, short-congruent, and short-incongruent videos.
DOI: 10.17632/nvkd84dzdf.1
title: METHACRYLATED HUMAN RECOMBINANT COLLAGEN PEPTIDE  AS A HYDROGEL FOR MANIPULATING AND MONITORING  STIFFNESS-RELATED CARDIAC CELL BEHAVIOR by Mostert et al

description: Environmental stiffness is a crucial determinant of cell function. There is a longstanding quest for reproducible and (human matrix)bio-mimicking biomaterials with controllable mechanical properties to unravel the relationship between stiffness and cell behavior. Here, we evaluate methacrylated human recombinant collagen peptide (RCPhC1-MA) hydrogels as a matrix to control 3D microenvironmental stiffness and monitor cardiac cell response. We show that RCPhC1-MA can form hydrogels with reproducible stiffness in the range of human developmental and adult myocardium. Human cardiomyocytes (CMs) and cardiac fibroblasts (cFBs) remain viable up to 14 days in RCPhC1-MA hydrogels while the effect of hydrogel stiffness on extracellular matrix production and CM contractility can be monitored in real time. Interestingly, whereas the beating behavior of the CM monocultures is affected by environmental stiffness, this effect ceases when cFBs are present. Together, we demonstrate RCPhC1-MA to be a promising candidate to mimic and control the 3D environment of cardiac cells.
DOI: 10.17632/htkkzr9zbr.1
title: COMPARITIVE ANALYSIS OF CT SEVERITY INDICES IN PREDICTING THE SEVERITY & CLINICAL OUTCOME IN PATIENTS WITH ACUTE PANCREATITIS 

description: Acute pancreatitis is a disease of unpredictable severity & it’s management is based on the initial assessment of the disease severity. Acute Pancreatitis ranges from mild interstitial form to severe necrotic form. Evidence suggests that severe necrotic form is associated with poor prognosis. It’s a well known fact that Contrast enhanced Computed Tomography (CT) Abdomen is gold standard in early detection of pancreatic necrosis and in assessing the severity of acute pancreatitis. There are two CT severity grading systems to assess the severity of acute pancreatitis namely the CT severity Index (CSI) & Modified CT severity Index (MCSI). This study aims to compare the usefulness of these two CT severity grading systems in predicting severity & clinical outcome in acute pancreatitis patients in comparison with the Ranson’s criteria. 
This is a hospital-based screening test study conducted on 80 patients (23% Females (n=18) & 78% males (n=62)) above the age of 12 years with the clinical diagnosis of acute pancreatitis who underwent CECT study of the abdomen. The comparative analysis between CSI & MCSI with Ranson’s criteria was assessed by Chi-Square test and a p-value of less than 0.05 was taken as level of significance. 
Both CSI and MCSI are significant predictors of severity & clinical outcome in acute pancreatitis & has a correlation of significance with Ranson’s criteria, but the correlation is better with MCSI (r:0.53; p<0.01) as compared to the CSI (r:0.35;p:0.04). 
This study shows highly significant concordance between the MCSI score & prediction of multi organ failure, superadded infection, duration of hospital stay and mortality. However, the study shows no significant correlation between both the CT severity indices (CSI & MSCI) & requirement of surgical intervention. As compared to CSI, MCSI shows better correlation between the severity & clinical outcome parameters in acute pancreatitis.
DOI: 10.17632/xs9kcy6b48.1
title: Supplementary Materials

description: The supplementary data file for "A Systematic Review and Meta-Analysis Evaluating the Landing Biomechanics of Female Athletes Following Anterior Cruciate Ligament Reconstruction".
DOI: 10.17632/wxfj336dv9.1
title: Camel milk Microbiome analysis 

description: A detailed analysis of camel milk's bacterial diversity.
DOI: 10.17632/frtr342ghd.1
title: Optimized protocol for microalgae DNA staining with SYTO9 / SYBR Green I based on flow cytometry and RSM methodology: experimental design, impacts and validation

description: The following data represents supplementary material to the data that was generated during our published study on "Optimized Protocol for Microalgae DNA Staining with SYTO9/SYBR Green I, Based on Flow Cytometry and RSM Methodology: experimental design, impacts and validation".
DOI: 10.17632/p44gmwgh86.1
title: Dercum's disease- a retrospective study- Supplemental Table 1 

description: Demographic and clinical characteristics of patient subgroups
DOI: 10.17632/y5pj734mt9.1
title: 'Naming Interrogatives' - Audio for excerpts 

description: 'Naming Interrogatives' - Audio for excerpts 
Data taken from three audio corpora:
https://huji-corpus.com
https://sites.google.com/humanities.haifa.ac.il/corpus
http://cosih.com
DOI: 10.17632/dm2x6ngsx7.1
title: Renal Tubule IL-2 Expression Differs in Type 1 and Type 2 diabetes mellitus 

description: The purpose of this study was to detect in situ expression of IL-2 in kidney and its relationship with fibrosis markers, E-cadherin(E-cad), collagen-1(Col-1) and a-smooth muscle actin (a-SMA) in T1DN and T2DN. Streptozocin(STZ)-induced T1DN, high fat diet combined with STZ induced T2DN and db/db mice models were used and found that the expression of IL-2 protein in local renal tissues of T1DN mice was decreased, while increased in T2DN and db/db mice. Benazepril then increased IL-2 expression and alleviated fibrosis marker molecules in the kidney of T1DN mice. Blocking IL-2 with basiliximab in db/db mice increased local Th17/Treg ratio, not CD3+CD4+T cells. In additional, insulin intervention had no effect on the change of IL-2 protein level in renal tissues of both T1DN mice or db/db mice.
DOI: 10.17632/ymwydhvztj.1
title: Data on COVID-19 Positive Frontline Workers in Bangladesh

description: From July 26 to August 12, 2020, we used a qualitative approach to conduct ten interviews, utilizing a semi-structured interview guide. The participants were recruited via a social media campaign and purposive sampling. All interviews were conducted via telephone and online and were transcribed and analyzed using Colaizzi's phenomenological method.
DOI: 10.17632/3f3wj5t9sk.1
title: Mechanistic insight into allosteric activation of human pyruvate carboxylase by acetyl-CoA. Chai et al.

description: Unprocessed Western Blot and Coomassie blue staining gels
DOI: 10.25442/hku.21085267
title: supporting data for " Accessing the immature brain--explore electrophysiological markers for brain maturity and the risk of neurodevelopmental disorders in preterm born children"

description: This is the supporting data for my MPhil thesis entitled " Accessing the immature brain--explore electrophysiological markers for brain maturity and the risk of neurodevelopmental disorders in preterm born children" <br> This study investigated the correlation between resting-state EEG profile and cognitive/behaviour performance in preschool children (including children born preterm and at term). All EEG and behavioural/questionnaire data are collecetd in Duchess of Kent Children’s Hospital Child Assessment Centre (DKCAC) and Queen Marry Hospital (QM). In this dataset , behavioural/cognitive test scores, as well as questionnaire responses of the participated chilren are provided. Both raw EEG recordings and processed EEG data are also provided. For the processed EEG data, both aperiodic component (offset and expotent) and traditional band power (absolute and relative) are provided. <br> <br> IRB approval code UW 20-455. <br> <br> Directory of Files: A. Filename: Preterm_EEG_database Short description: raw questionaire data B. Filename: EEG_prem_analysis Short description:Combined dataset with EEG parameters and averaged questionaire data C. Filename: EEG_data Short description:raw EEG data for generating the EEG parameters, MATLAB (2012 or above) and EEGLAB package is required to process those raw data. The MATLAB processing code is also in the file; while again MATLAB EEGLAB is required to run this script. <br> File C 'EEG_data' is for EEG experts to examine the raw EEG data; for processed EEG data, please refer to file B 'EEG_prem_analysis'.
DOI: 10.25442/hku.21085267.v1
title: supporting data for " Accessing the immature brain--explore electrophysiological markers for brain maturity and the risk of neurodevelopmental disorders in preterm born children"

description: This is the supporting data for my MPhil thesis entitled " Accessing the immature brain--explore electrophysiological markers for brain maturity and the risk of neurodevelopmental disorders in preterm born children" <br> This study investigated the correlation between resting-state EEG profile and cognitive/behaviour performance in preschool children (including children born preterm and at term). All EEG and behavioural/questionnaire data are collecetd in Duchess of Kent Children’s Hospital Child Assessment Centre (DKCAC) and Queen Marry Hospital (QM). In this dataset , behavioural/cognitive test scores, as well as questionnaire responses of the participated chilren are provided. Both raw EEG recordings and processed EEG data are also provided. For the processed EEG data, both aperiodic component (offset and expotent) and traditional band power (absolute and relative) are provided. <br> <br> IRB approval code UW 20-455. <br> <br> Directory of Files: A. Filename: Preterm_EEG_database Short description: raw questionaire data B. Filename: EEG_prem_analysis Short description:Combined dataset with EEG parameters and averaged questionaire data C. Filename: EEG_data Short description:raw EEG data for generating the EEG parameters, MATLAB (2012 or above) and EEGLAB package is required to process those raw data. The MATLAB processing code is also in the file; while again MATLAB EEGLAB is required to run this script. <br> File C 'EEG_data' is for EEG experts to examine the raw EEG data; for processed EEG data, please refer to file B 'EEG_prem_analysis'.
DOI: 10.25442/hku.21090013
title: Supporting data for The Nature and Transfer Effects of Computational Thinking in STEM

description: The dataset is the primary data that supported three enclosed studies (study 3, study 4, and study 5) in the project entitled "The Nature and Transfer Effects of Computational Thinking in STEM". Study 3 investigates the efficacy of the project-first approach to programming in a technology-deprived environment. The data shows the daily Python programming artefacts of the students and their scores. Study 4 is an inquiry into the nature of computational thinking (CT) problem-solving. The data is a qualitative response from seven students to demonstrate how CT is operationalized in everyday route planning task. Study 5 is an experimental study (<em>n = 59</em>) that investigated if learning with abstraction model enhances students’ programming knowledge and CT skill. The data contains participants response to quesstionaire, performance in programming knowledge test and CT test scores.
DOI: 10.25442/hku.21090013.v1
title: Supporting data for The Nature and Transfer Effects of Computational Thinking in STEM

description: The dataset is the primary data that supported three enclosed studies (study 3, study 4, and study 5) in the project entitled "The Nature and Transfer Effects of Computational Thinking in STEM". Study 3 investigates the efficacy of the project-first approach to programming in a technology-deprived environment. The data shows the daily Python programming artefacts of the students and their scores. Study 4 is an inquiry into the nature of computational thinking (CT) problem-solving. The data is a qualitative response from seven students to demonstrate how CT is operationalized in everyday route planning task. Study 5 is an experimental study (<em>n = 59</em>) that investigated if learning with abstraction model enhances students’ programming knowledge and CT skill. The data contains participants response to quesstionaire, performance in programming knowledge test and CT test scores.
DOI: 10.6084/m9.figshare.21205672
title: Extra viewpoints for Ntail=30 phase diagram from Surfactancy in a tadpole model of proteins

description: Video showing Ntail=30 phase diagram at many angles to help visualise it in 3D.
DOI: 10.6084/m9.figshare.21205672.v1
title: Extra viewpoints for Ntail=30 phase diagram from Surfactancy in a tadpole model of proteins

description: Video showing Ntail=30 phase diagram at many angles to help visualise it in 3D.
DOI: 10.25442/hku.21089065
title: Raw Data for MPhil Study (JWCY)

description: Raw data for the MPhil (Chemistry) thesis (JWCY), including UV-Vis, emission, CV, NMR, MS and TGA data etc.
DOI: 10.25442/hku.21089065.v1
title: Raw Data for MPhil Study (JWCY)

description: Raw data for the MPhil (Chemistry) thesis (JWCY), including UV-Vis, emission, CV, NMR, MS and TGA data etc.
DOI: 10.25442/hku.21069241
title: Supporting data for “Study of mammalian cranial placode development using molecular and cellular approaches”

description: The dataset contains gene expression analysis during cranial placode development; single-cell RNA sequencing analysis for the inferrence of lineage trajectory and cell-cell communication patterns; gene expression analysis and mouse genetic modified models to understand the role of Notch signaling during epibranchial placode development; and characterization of in vitro placodal cultures from the modified procotol.
DOI: 10.25442/hku.21069241.v1
title: Supporting data for “Study of mammalian cranial placode development using molecular and cellular approaches”

description: The dataset contains gene expression analysis during cranial placode development; single-cell RNA sequencing analysis for the inferrence of lineage trajectory and cell-cell communication patterns; gene expression analysis and mouse genetic modified models to understand the role of Notch signaling during epibranchial placode development; and characterization of in vitro placodal cultures from the modified procotol.
DOI: 10.6084/m9.figshare.21205295
title: Single cell RNA sequencing.zip

description: Single cell RNA sequencing
DOI: 10.6084/m9.figshare.21205295.v1
title: Single cell RNA sequencing.zip

description: Single cell RNA sequencing
DOI: 10.6084/m9.figshare.21205676
title: single cell RNA secquencing.zip

description: single cell RNA secquencing
DOI: 10.6084/m9.figshare.21205676.v1
title: single cell RNA secquencing.zip

description: single cell RNA secquencing
DOI: 10.5281/zenodo.6944163
title: Supplemental material for the paper entitled "Estimating and planning hospital costs of public hospitals in Brazil"

description: [xlsx] Stepdown cost accounting (SDCA) for estimating cost on hospitals network; [xlsx] Factor analysis for estimating hospital costs based on few operations variables. [xlsx] Cost Components and Care Modules approaches - results for each hospital of the network. [zip] Simulation-optimisation algorithm and models. [zip] Results from simulation-optimisation model.
DOI: 10.5281/zenodo.6944164
title: Supplemental material for the paper entitled "Estimating and planning hospital costs of public hospitals in Brazil"

description: [xlsx] Stepdown cost accounting (SDCA) for estimating cost on hospitals network; [xlsx] Factor analysis for estimating hospital costs based on few operations variables. [xlsx] Cost Components and Care Modules approaches - results for each hospital of the network. [zip] Simulation-optimisation algorithm and models. [zip] Results from simulation-optimisation model.
DOI: 10.5281/zenodo.7112748
title: Supplemental material for the paper entitled "Estimating and planning hospital costs of public hospitals in Brazil"

description: [xlsx] Stepdown cost accounting (SDCA) for estimating cost on hospitals network; [xlsx] Factor analysis for estimating hospital costs based on few operations variables. [xlsx] Cost Components and Care Modules approaches - results for each hospital of the network. [zip] Simulation-optimisation algorithm and models. [zip] Results from simulation-optimisation model.
DOI: 10.25442/hku.21118723
title: Supporting data for “Elucidating the role of DLC1 isoform 1 in motor neuron development and spinal muscular atrophy”.

description: This dataset includes the gene functional study along motor neuron differentiation from iPSCs/hESCs. It also contains MNs differentiation of the WT and SMA patients' urine-derived iPSCs. Data also showed SMA mice behaviour test and survival rescued by the investigated gene carried by AAV.
DOI: 10.25442/hku.21118723.v1
title: Supporting data for “Elucidating the role of DLC1 isoform 1 in motor neuron development and spinal muscular atrophy”.

description: This dataset includes the gene functional study along motor neuron differentiation from iPSCs/hESCs. It also contains MNs differentiation of the WT and SMA patients' urine-derived iPSCs. Data also showed SMA mice behaviour test and survival rescued by the investigated gene carried by AAV.
DOI: 10.5281/zenodo.7099785
title: Classification Data set : Land Cover Classification with Gaussian Processes using spatio-spectro-temporal features

description: Classification data set (train, validation, test) from the study area based on 27 tiles on the south of the France. Data set are provided for each eco-climatic region. The size corresponds to the data set DS-A. Only one random pixel sampling is provided: seed 0. This data set was used to train Gaussian Processes, Random Forest, Multilayer Perceptron and Lightweight Temporal Self-Attention models. For further details see section VI-A-1 of the pre-print article "Land Cover Classification with Gaussian Processes using spatio-spectro-temporal features ". This article is available here. The implementation of the models is available in the open source repository.
DOI: 10.5281/zenodo.7099784
title: Classification Data set : Land Cover Classification with Gaussian Processes using spatio-spectro-temporal features

description: Classification data set (train, validation, test) from the study area based on 27 tiles on the south of the France. Data set are provided for each eco-climatic region. The size corresponds to the data set DS-A. Only one random pixel sampling is provided: seed 0. This data set was used to train Gaussian Processes, Random Forest, Multilayer Perceptron and Lightweight Temporal Self-Attention models. For further details see section VI-A-1 of the pre-print article "Land Cover Classification with Gaussian Processes using spatio-spectro-temporal features ". This article is available here. The implementation of the models is available in the open source repository.
DOI: 10.34740/kaggle/dsv/4250649
title: AutoXGB
DOI: 10.6084/m9.figshare.21205679
title: Lab data qPCR 2019

description: These data are belonged to AG Röszer, University of Ulm in Germany. They served as backup and records.
DOI: 10.6084/m9.figshare.21205679.v1
title: Lab data qPCR 2019

description: These data are belonged to AG Röszer, University of Ulm in Germany. They served as backup and records.