cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/dshngs52gs
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: 10.6084/m9.figshare.9739136.v2
title: SB33102 GIS IN CONSERVATION BIOLOGY

description: A Moodle Backup FIle (.mbz) of a course (SB33102 version Semester 1, 2018/19) is a compressed archive of a Moodle course that can be used to restore a course within Moodle. The file preserves course contents, structure and settings, but does not include student work or grades.
DOI: 10.6084/m9.figshare.9885095.v1
title: CODES from Effects of structural damping on acoustic scattering by flexible plates

description: Matlab codes for numerical methods
DOI: 10.25452/figshare.plus.21538458.v1
title: Data supporting "Pyramidal cell types drive functionally distinct cortical activity patterns during decision-making"

description: We used genetic and retrograde labeling to target pyramidal tract (PT), intratelencephalic (IT) and corticostriatal projection neurons and measured their cortex-wide activity. Each PyN type drove unique neural dynamics, both at the local and cortex-wide scale. Cortical activity and optogenetic inactivation during an auditory decision task revealed distinct functional roles. All PyNs in parietal cortex were recruited during perception of the auditory stimulus, but, surprisingly, PT neurons had the largest causal role. In frontal cortex, all PyNs were required for accurate choices but showed distinct choice-tuning. Our results reveal that rich, cell-type-specific cortical dynamics shape perceptual decisions. <br> Dataset supporting: Musall, S., Sun, X.R., Mohan, H. et al. Pyramidal cell types drive functionally distinct cortical activity patterns during decision-making. Nat Neurosci (2023). https://doi.org/10.1038/s41593-022-01245-9
DOI: 10.6084/m9.figshare.7883447.v1
title: gVCF_HG01110

description: 1000 Genomes gVCF mapped to hs37d5 for HG01110. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.1050007.v1
title: PLS COMPUTATIONAL MODEL FOR PREDICTION IN TIME SERIES

description: Some data fluctuates rapidly in a short period of time. Classical and computational models are useful in predicting this<br>highly volatile data. In this study Partial Least Square Regression and computational neural network models are used to explore<br>stock market tendency. Thirteen variables are considered to predict the daily closing prices of BSE sensex data. To evaluate the<br>prediction ability of the models, standard error values are calculated. The results revealed that Nonparametric PLS regression<br>model is better in prediction.
DOI: 10.6084/m9.figshare.26089250.v1
title: HiGTS_2013s4

description: HiGTS is a high temporal resolution global gridded dataset of human thermal stress metrics. Derived using climate variables from ERA5-Land and ERA5, the HiGTS consists of hourly gridded maps of Universal Thermal Climate Index (UTCI), Universal Thermal Stress (UTS), and daily Thermal Stress Duration (TSD) at 0.1° × 0.1° spatial resolution over the global land surface.HiGTS_2013s4 contains the data from October 1, 2013 to December 31, 2013.
DOI: 10.17632/87s2br3ptb
title: TASD-Dataset: Text-based Early Autism Spectrum Disorder Detection Dataset for Toddlers

description: The TASD-Dataset is tailored for early ASD detection in toddlers, providing detailed textual sequences that describe the daily situations of toddlers both with and without ASD. It incorporates essential ASD assessment features such as Attention Response, Word Repetition, Emotional Empathy, and introduces new features including Noise Sensitivity, Sharing Interest, Sign Communication, and Tiptoe Flapping. Each feature is intricately linked with specific toddler behaviors, offering nuanced insights for parents and aiding in the identification of ASD-related signals. By emphasizing these features, the dataset facilitates the development of machine learning models to explore behavioral markers crucial for early ASD risk detection. 

Here's a summary of the key features:

- Attention Response: Reflects how toddlers respond to external stimuli, indicating differences in sensory processing or responsiveness.

- Change Reaction: Assesses how toddlers adapt to changes, potentially indicating challenges in flexibility or coping mechanisms.

- Word Repetition: Involves repetitive use of words or phrases, often seen in children with ASD as echolalia or repetitive speech.

- Eye Contact: Indicates the frequency and quality of a child's eye contact during social interactions, impacting social communication abilities.

- Emotional Empathy: Measures a child's ability to comprehend and respond to others' emotions.

- Finger Movements: Observes repetitive finger movements or hand gestures, often indicative of self-stimulatory behaviors.

- Focused Attention: Evaluates a child's capacity to maintain concentration on a task, potentially indicating attention deficits.

- Follow Pointing: Assesses a child's ability to follow pointing gestures, a skill crucial for social communication.

- Repetitive Behavior: Encompasses persistent and ritualistic actions or interests commonly seen in ASD.

- Toy Arranging: Examines a child's inclination or patterns in arranging toys, reflecting preferences or behaviors seen in ASD.

- Noise Sensitivity: Gauges a toddler's sensitivity to auditory stimuli, including reactions to loud noises or certain frequencies.

- Sharing Interest: Assesses a child's ability to engage in joint attention and reciprocal interactions with others.

- Sign Communication: Evaluates the use of gestures or signs as a means of communication, crucial for early communication skills.

- Tiptoe Flapping: Observes repetitive behaviors such as tiptoe walking combined with hand flapping, potentially associated with sensory-seeking behaviors seen in ASD.

The dataset for Early ASD Detection in Toddlers offers valuable insights into behavioral features associated with ASD, providing researchers and practitioners with a rich resource for advancing early intervention strategies and improving outcomes for children with ASD.
DOI: 10.6084/m9.figshare.16645057.v1
title: Supplementary Material for: PhosSNPs-Regulated Gene Network and Pathway Significant for Rheumatoid Arthritis

description: <b><i>Objectives:</i></b> Peripheral blood mononuclear cells (PBMCs) are critical for immunity and participate in multiple human diseases, including rheumatoid arthritis (RA). PhosSNPs are nonsynonymous SNPs influencing protein phosphorylation, thus probably modulate cell signaling and gene expression. We aimed to identify phosSNPs-regulated gene network/pathway potentially significant for RA. <b><i>Methods:</i></b> We collected genome-wide phosSNP genotyping data and transcriptome-wide mRNA expression data from PBMCs of a Chinese sample. We discovered and verified with public datasets differentially expressed genes (DEGs) associated with RA, and replicated RA-associated SNPs in our study sample. We performed a targeted expression quantitative trait locus (eQTL) study on significant phosSNPs and DEGs. <b><i>Results:</i></b> We identified 29 nominally significant eQTL phosSNPs and 83 target genes, and constructed comprehensive regulatory/interaction networks, highlighting the vital effects of two eQTL phosSNPs (rs371513 and rs4824675, FDR &lt;0.05) and four critical node genes (HSPA4, NDUFA2, MRPL15, and ATP5O). Besides, two node/key genes NDUFA2 and ATP5O, regulated by rs371513, were significantly enriched in mitochondrial oxidative phosphorylation pathway. Besides, four pairs of eQTL effects were replicated independently in whole blood and/or transformed fibroblasts. <b><i>Conclusions:</i></b> The findings delineated a potential role of protein phosphorylation and genetic variations in RA and warranted the significant roles of phosSNPs in regulating RA-associated genes expression in PBMCs. The results pointed out the relevance and significance of oxidative phosphorylation pathway to RA.
DOI: 10.6084/m9.figshare.19492229.v1
title: Area.zip

description: Engineered heart tissues
DOI: 10.17632/j9fdbxk72x
title: No Association Between Adalimumab Use and Heart Failure in Patients with Hidradenitis Suppurativa: A Propensity Matched Study

description: Background: Adalimumab, a tumor necrosis factor alpha inhibitor, is linked to heightened heart failure (HF) risk, particularly in patients with immune dysregulation. Hidradenitis suppurativa (HS) is associated with high cardiovascular comorbidities and has limited treatments, with adalimumab being one. Despite these connections, research on HF risk in HS patients treated with adalimumab is limited.
Objective: To ascertain if HS patients treated with adalimumab are more prone to developing new or worsening HF compared to those not receiving adalimumab.
Methods: A retrospective cohort study was conducted using TriNetX from September 2015 to May 2023, analyzing 121,854 HS patients without pre-existing HF. The “Adalimumab Group” included 4,645 HS patients, and the “No Adalimumab Group” comprised the remaining 117,209. Another analysis identified 4,399 HS patients with pre-existing HF, with 155 receiving adalimumab. The study assessed the 1-year risk of new-onset HF among these patients.
Results: No significant difference in the risk of new or worsening HF were observed.
Limitations: This study's reliance on administrative claims databases limits detailed clinical context, confirmation of medication dosage and compliance, and introduces potential coding errors.
Conclusions: This first large-scale study suggests adalimumab treatment may not elevate the risk of new or worsening HF in HS patients.
DOI: 10.6084/m9.figshare.19755568.v1
title: A climate risk analysis of Earth’s forests in the 21st century - dataset

description: Data and code for Anderegg et al. (2022). <strong>A climate risk analysis of Earth’s forests in the 21st century. </strong>
DOI: 10.6084/m9.figshare.20010557.v2
title: COVID-TX GENDER

description: <strong>ABSTRACT</strong> <strong>INTRODUCTION</strong> Current literature diverges on the impact of COVID-19 in Liver Transplant recipients, and no studies have yet directly focused on the gender differences within the presentation of COVID-19 in LT recipients. This study seeks to report the impact of COVID-19 in LT recipients, focusing on the gender differences encountered in disease presentation and progression in this population. <strong>METHODS</strong> This study was a multicentric historical cohort. Patient records were submitted by an online questionnaire. The primary endpoint was COVID-related death. We also collected demographic, clinical, and laboratory data regarding presentation and disease progression. <strong> RESULTS</strong> We included 283 patients in the study, of which 76 were female, and 207 were male. The median follow-up time was 99 days (IQR 38,283) for males and 126 (IQR = 44-291) days for females. There was a greater prevalence of cardiovascular disease in males (p=0.002). Females frequently displayed a lost sense of smell (p=0.021), and males had the fever (p=0.031). Median ALT and gamma-glutamyl transferase levels were significantly higher in males (p =0.008 and 0.004, respectively). There was a tendency for increased mortality in males, and this trend did not reach statistical significance. <strong>CONCLUSION</strong> To our knowledge, this is the first study to approach gender differences between COVID-19 infection in LT recipients, notably in symptoms at presentation and liver function tests. Our results suggest a comprehensive and individualised treatment of this patient population and for further understanding of the disease presentation in these patients.
DOI: 10.6084/m9.figshare.21587679.v1
title: snRNA-seq dataset

description: This R Seurat object (.rds) contains 4 assay slots (raw counts matrix, sample-dependent SCT-transformed values, post-integration SCT-corrected values, and the secondary integration SCT-corrected values) and some meta-data slots, including the dataset of origin (GEO sample accession number), the batch of origin (GEO series accession number), the method used (scRNA-seq vs snRNA-seq), the clusters, and the cell type labelling.
DOI: 10.6084/m9.figshare.19524844.v1
title: chartDataset.zip

description: A large-scale dataset containing 120.000 chart images organized into 20 categories. Each image in the dataset is labeled and joined with additional documentation that includes the ground truth. All images are created with Python Plotly.
DOI: 10.6084/m9.figshare.28425329.v1
title: <b>A chromosome-level genome assembly of </b><b>Coffea arabica </b><b>L. var. ‘Kona Typica’</b>

description: Coffea arabica L. var. ‘Typica’ is widely cultivated variety prized for its superior cup quality, but its susceptibility to pests and diseases poses a significant threat to production and economic stability. A comprehensive understanding of its genome is crucial for developing disease-resistant and high-quality cultivars. In this study, we present a chromosome-scale genome assembly of Coffea arabica L. var. ‘Kona Typica’ generated using PacBio HiFi reads and Hi-C scaffolding technology. Thefinal assembly spans 1.13Gb, with a scaffold N50 of 50.50 Mb, organized into 22 chromosomes. BUSCO assessment indicated a high completeness at 99.1%. We annotated65,458 protein-coding genes and identifiedtransposable elements comprising65.16% of the genome. Comparative analysis with the ‘ET-39’arabica genome identified the structural variations, including 524 genomic duplicationsand 17.27 Mb of genomic regions that were unique in the ‘Kona Typica’genome, potentially associated with phenotypic variations. This high-quality ‘Kona Typica’genome assembly providesa valuableresource for coffee research and improvement, enabling investigations intocoffee genome evolution and genetic mapping of important traits, and facilitating the development of improved coffee cultivars withenhanced disease resistance and quality traits.
DOI: 10.17632/9h7xk9rm9v
title: Data for Microplastics from consumer plastic food containers: Are we consuming it?

description: Microplastics (MPs) pollution have become a major global concern. Attention is being given to the sources of human exposure to microplastics as one of the preliminary steps in understanding the possible health risk of these ubiquitous emerging pollutants. The data presented here were derived from sealed consumer plastic food containers and disposable cup that were purchased from two local supermarket in Beijing. The weights of the plastic containers and disposable cup were determined. After that, the MPs inside the newly manufactured plastic containers and disposable cup were extracted through ultrapure water. The extracted particles were recovered through freeze drying and then characterized using FT-IR and SEM. The particles were later quantified and the mass of MPs obtained per pack and individual container were estimated. The implications of the data obtained were discussed in our main article.
DOI: 10.17632/hyf67hrnx2
title: Data for: Toward building a transparent statistical model for improving crop yield prediction: modeling rainfed corn in the U.S.

description: The dataset contains the yield predictions from different statistical models in the paper. 1. The leave_one_year_out test from 2003 to 2016 (Figs. 2,3,5,6,7): (1) (Tgs + Pgs)linear model: prediction_Tgs_linear_rainfed_leave_one_year_out.csv (2) (T + P)linear model: prediction_tave_linear_rainfed_leave_one_year_out.csv (3) (VPD + P)linear model: prediction_vpd_linear_rainfed_leave_one_year_out.csv (4) (VPD + P)poly model: prediction_vpd_poly_rainfed_leave_one_year_out.csv (5) (VPD + P)spline model: prediction_vpd_spline_rainfed_leave_one_year_out.csv (6) LSTspline model: prediction_lstmax_spline_only_rainfed_leave_one_year_out.csv (7) EVIlinear model: prediction_evi_linear_only_rainfed_leave_one_year_out.csv (8) EVIpoly model: prediction_evi_poly_only_rainfed_leave_one_year_out.csv (9) LSTspline + EVIpoly model: prediction_lstmax_spline_evi_poly_only_rainfed_leave_one_year_out.csv (10) (VPD + P)spline + EVIlinear model: prediction_vpd_spline_evi_rainfed_leave_one_year_out.csv (11) (T + P)spline + EVIpoly model: prediction_tave_spline_evi_poly_rainfed_leave_one_year_out.cs (12) (LST + P)spline + EVIpoly model: prediction_lstmax_spline_evi_poly_rainfed_leave_one_year_out.csv (13) (VPD + P)spline + EVIpoly model: prediction_vpd_spline_evi_poly_rainfed_leave_one_year_out.csv (14) (VPD + P)poly + EVIpoly model: prediction_vpd_poly_evi_poly_rainfed_leave_one_year_out.csv 2. The leave_one_year_out test for state-specific models from 2003 to 2016 (Fig. 4): (15) (VPD + P)poly model: prediction_vpd_poly_evi_poly_rainfed_leave_one_year_out_state.csv 3. The leave_one_year_out test from 1981 to 2016 (Fig. S4): (16) (VPD + P)spline model: prediction_vpd_spline_allyears_rainfed_leave_one_year_out.csv 4. The forward test from 2005 to 2016 (Fig. 8): (17) (VPD + P)spline model: prediction_vpd_spline_rainfed_forward.csv (18) (VPD + P)spline + EVIpoly model: prediction_vpd_spline_evi_poly_rainfed_forward.csv 5. The leave_one_year_out test for irrigated yield and comebined yieldfrom 2003 to 2016 (Fig. S6): (19) (VPD + P)poly + EVIpoly model for irrigated yield: prediction_vpd_poly_evi_poly_irrigated_leave_one_year_out.csv (20) (VPD + P)poly + EVIpoly model for combined yield: prediction_vpd_poly_evi_poly_all_leave_one_year_out.csv
DOI: 10.17632/rns54f94xd
title: Experimental comparison of various excitation and acquisition techniques for modal analysis of violins

description: All this data is described in the paper to be published: Experimental comparison of various excitation and acquisition techniques for modal analysis of violins
DOI: 10.17632/y69wn559ym
title: Proteomics raw data of mammary tumor cells from female dogs

description: This data is part of the material used to study the effect of rapamycin on mammary tumor cells of female dogs. We would like to evaluate the dose response of mammary tumor cells from dogs and evaluate the proteins comparing before and after treatment with rapamycin. We used samples of tumors from mammary gland and their respective metastases from 2 animals. Four samples were cultured in vitro and treated with rapamycin in different doses (IC50) for each cell line. The cells were prepared to proteomics (ESI Q-TOF MS/MS). We used for statistical analysis comparisons between control versus rapamycin treatment groups, and also metastasis versus primary tumor versus metastasis rapamycin versus primary tumor rapamycin. The experiment was performed in biological duplicates and in technical duplicates.
DOI: 10.6084/m9.figshare.1201691.v1
title: ADNI 62

description: 62 MR brain images selected from ADNI dataset.
DOI: 10.6084/m9.figshare.17049041.v1
title: mtDNA ITS and 23S sequencing for Baltic Sea Fucus vesiculosus

description: 100 individual <i>Fucus vesiculosus </i>mtDNA intergenic spacer and 23S sequences from the Baltic Sea. Samples include attached and free-living specimens. Detailed methodology provided within the associated publication. Sampling locations provided in the attached information sheet.
DOI: 10.17608/k6.auckland.13211120.v1
title: Repeated Measures data files

description: This zip file contains data files for 3 activities described in the accompanying PPT slides <br>1. an excel spreadsheet for analysing gain scores in a 2 group, 2 times data array. this activity requires access to https://campbellcollaboration.org/research-resources/effect-size-calculator.html to calculate effect size.<br>2. an AMOS path model and SPSS data set for an autoregressive, bivariate path model with cross-lagging. This activity is related to the following article: Brown, G. T. L., & Marshall, J. C. (2012). The impact of training students how to write introductions for academic essays: An exploratory, longitudinal study. Assessment & Evaluation in Higher Education, 37(6), 653-670. doi:10.1080/02602938.2011.563277<br>3. an AMOS latent curve model and SPSS data set for a 3-time latent factor model with an interaction mixed model that uses GPA as a predictor of the LCM start and slope or change factors. This activity makes use of data reported previously and a published data analysis case: Peterson, E. R., Brown, G. T. L., & Jun, M. C. (2015). Achievement emotions in higher education: A diary study exploring emotions across an assessment event. Contemporary Educational Psychology, 42, 82-96. doi:10.1016/j.cedpsych.2015.05.002andBrown, G. T. L., & Peterson, E. R. (2018). Evaluating repeated diary study responses: Latent curve modeling. In SAGE Research Methods Cases Part 2. Retrieved from http://methods.sagepub.com/case/evaluating-repeated-diary-study-responses-latent-curve-modeling doi:10.4135/9781526431592<br>