cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28246787.v1
title: Supplementary Material for: Severe acute pancreatitis complicated by multiple intra-abdominal hemorrhages

description: Introduction
Intra-abdominal hemorrhage is a rare yet life-threatening complication of acute pancreatitis (AP), with a higher prevalence in cases of severe acute pancreatitis (SAP). This condition is primarily caused by vessel wall erosion and rupture of pseudoaneurysms (PSA). However, SAP cases involving multiple sequential arterial hemorrhages are extremely rare. This condition is primarily brought on by the process of vessel wall degeneration and the development of pseudoaneurysms (PSA). Nonetheless, SAP necessitating multiple episodes of arterial bleeding is very uncommon.

Case Presentation
Here is the case history of a 31-year-old man already being treated for SAP. His condition was then complicated by massive, frequent intra-abdominal bleeding. The patient initially presented to the hospital with SAP. He was transferred to the ICU for proper management. Massive intra-abdominal bleeds occurred on the 31st, 45th, and 60th days during hospitalization. The maximum blood loss was 1500 mL. In each of the instances, DSA embolization was carried out after the bleeding source had been verified. In order to manage SAP, continuous percutaneous drainage and staged pancreatic necrosectomy were undertaken for six months. No recurrence of intra-abdominal hemorrhage was detected. Infection of the abdominal cavity was properly controlled. The patient left the hospital in good condition.

Conclusion
Spontaneous bleeding in the abdominal cavity is a severe and life-threatening complication of SAP. This is often caused by vessel wall erosion. In such cases, DSA plays a crucial role in diagnosis and management. Besides precisely locating the bleeding source, one can perform a much-needed embolization immediately. Consequently, the disease is under total control, and the patient is much more likely to survive.
DOI: 10.17632/bc7v9hsv82
title: A comprehensive dataset on antimicrobial activity of indigenous Oscillatoria spp. against common bacteria causing diseases in fish and shellfish

description: Data sets were produced on the antibacterial activity of phenolic extracts using the disk diffusion technique on two marine and two freshwater species of Oscillatoria. 
Table 2 describe the data on diameter of the inhibition zone (mm) exhibited by Oscillatoria species against isolated pathogenic bacteria.  
Table 3 describe the data on antimicrobial index (AI) of Oscillatoria strains against isolated pathogenic bacteria.
DOI: 10.17632/dr9f4k8xxj
title: Nuclear energy analysis in developing countries

description: This dataset analyzes nuclear power in emerging countries and worlwide. As the need for sustainable energy sources becomes more urgent, many developing countries are turning to nuclear energy as a potential solution. The dataset examines the importance of nuclear power to these countries, including its potential benefits and challenges. Safety and risk management issues are also studied as they are critical factors in the development of nuclear energy. Overall, this dataset aims to provide a comprehensive analysis of nuclear power in developing countries, shedding light on the potential benefits and risks associated with this source of energy.
DOI: 10.6084/m9.figshare.28130807.v1
title: Supplementary Material for: Effects of Music-supported Therapy (MST) for Depression and Cognitive Disorders in People Living with Stroke and Its Impact on Quality of Life: A Systematic Evaluation and Meta-Analysis

description: Introduction: Stroke not only leads to physical dysfunction in patients, but also causes emotional and cognitive abnormalities, which significantly affect survival and quality of life. Prior research has shown that music-supported therapy (MST) has the ability to enhance mood and cognitive performance through stimulation of the central nervous system. Nevertheless, there is a dearth of rigorous systematic assessments of the effectiveness of MST in improving mood and cognitive impairments in stroke patients, as well as the impact of these benefits on their overall quality of life. This systematic review and meta-analysis aimed to assess the impact of MST on emotional and cognitive impairments in stroke patients, as well as its influence on their quality of life.
METHODS: The PRISMA 2020 guidelines were followed to search for articles on MST treating mood and cognitive issues in stroke patients in the PubMed, Embase, Web of Science, Wanfang, CNKI, CSTJ, and SinoMed databases, with a cut-off date of July 11, 2024. Two researchers utilized the revised Cochrane RoB-I risk of bias technique to evaluate the quality of all relevant literature obtained. They subsequently extracted and meta-analyzed the data using Review Manager 5.4.1 software.
RESULTS: Seventy-two studies involving a total of 5,543 patients were included, and the meta-analysis revealed that MST had a significant effect on mood and cognitive deficits in stroke patients (SMDHAMD=1.49, 95% CI:1.21-1.76, P&lt;0.001, MDMMSE = 2.53 CI:1.60-3.45, P&lt; 0.001, MDMoCA=3.59, CI:2.57-4.62, P&lt;0.001), which took effect from 2 weeks of treatment and was accompanied by an increase in serum 5-HT level (SMD5-HT=2.22,CI:1.47-2.96, P&lt;0.001) and improvements in mood and cognitive function, daily living abilities (SMDADL=1.72, CI:1.32-2.11, P&lt;0.001), limb motor function (SMDFMA=1.25, CI:0.47-2.02, P&lt;0.001), and neurological function(SMDNIHSS= −1.77，CI: −2.50- −1.04，P&lt;0.001).
CONCLUSION: MST effectively enhances the mood and cognitive function of stroke patients, improves their ability to perform daily activities and limb motor function. Importantly, improvements in mood and cognitive function occur earlier than the those in daily life ability and neurological function. Additionally, the level of serum 5-HT may serve as a potential indicator for assessing the effectiveness of MST.
DOI: 10.6084/m9.figshare.9848177.v1
title: MSE Survey Replicate Weights (2018)

description: A set of 1000 replicate weights to aid with variance estimation problems when using the MSE Survey Open Data (2018) published by the USAID Jordan Local Enterprise Support Project.
DOI: 10.6084/m9.figshare.13041791.v1
title: Supplementary Material for: Prediction of Poor Outcome in Intracerebral Hemorrhage Based on Computed Tomography Markers

description: <b><i>Introduction:</i></b> Intracerebral hemorrhage (ICH) is the most fatal type of stroke worldwide. Herein, we aim to develop a predictive model based on computed tomography (CT) markers in an ICH cohort and validate it in another cohort. <b><i>Methods:</i></b> This retrospective observational cohort study was conducted in 3 medical centers in China. The values of CT markers, including hypodensities, hematoma density, blend sign, black hole sign, island sign, midline shift, baseline hematoma volume, and satellite sign, in predicting poor outcome were analyzed by logistic regression analysis. A nomogram was developed based on the results of multivariate logistic regression analysis in development cohort. Area under curve (AUC) and calibration plot were used to assess the accuracy of nomogram in this development cohort and validate in another cohort. <b><i>Results:</i></b> A total of 1,498 patients were included in this study. Multivariate logistic regression analysis indicated that hypodensities, black hole sign, island sign, midline shift, and baseline hematoma volume were independently associated with poor outcome in development cohort. The AUC was 0.75 (95% confidence interval [CI]: 0.73–0.76) in the internal validation with development cohort and 0.74 (95% CI: 0.72–0.75) in the external validation with validation cohort. The calibration plot in development and validation cohort indicated that the nomogram was well calibrated. <b><i>Conclusions:</i></b> CT markers of hypodensities, black hole sign, and island sign might predict poor outcome of ICH patients within 90 days.
DOI: 10.6084/m9.figshare.21563475.v2
title: Raw Data of the manuscript (1047932).zip

description: The data of our work was stored here. The title of our manuscript is Antioxidant Properties of Water-Soluble Polysaccharides Prepared by Co-Culture Fermentation of Straw and Shrimp Shell.
DOI: 10.6084/m9.figshare.4542856.v1
title: Supplementary Material for: A Porcine Reproductive and Respiratory Syndrome Virus Vaccine Candidate Based on PRRSV Glycoprotein 5 and the Toll-Like Receptor 5 Agonist Salmonella typhimurium Flagellin

description: Glycoprotein 5 (GP5) from porcine reproductive and respiratory syndrome virus (PRRSV) is a key inducer of neutralizing antibodies. A truncated GP5 gene lacking the signal peptide and transmembrane sequences was amplified via an overlap PCR method and inserted into prokaryotic expression vectors, pET32a or pGEX-6p-1, to add an His or GST tag, respectively. His-tagged GP5 was induced with IPTG, verified by SDS-PAGE and Western blotting, and purified to serve as an immunogen accompanied with the <i>Salmonella typhimurium</i> flagellin (FliC), a Toll-like receptor 5 (TLR5) agonist. Levels of TLR5 and cytokine mRNAs in spleens of mice following injection with FliC were detected by qRT-PCR to verify the activation of innate immunity. FliC was used as an adjuvant and administered with the GP5 to C57BL/6 mice via intraperitoneal injection. Coadministration of GP5 with FliC induced a significantly enhanced GP5-specific IgG and IFN-γ response compared with administration of GP5 alone, and the GP5-specific titer in the GP5 + FliC coadministration group was elevated almost twofold after the third immunization. These results indicate that FliC is an effective adjuvant, increasing the induction of antibodies against GP5 with the induction of both humoral and cellular immune responses.
DOI: 10.17632/743k6dm543
title: BN-HTRd: A Benchmark Dataset for Document Level Offline Bangla Handwritten Text Recognition (HTR)

description: We introduce a new dataset for offline Handwritten Text Recognition (HTR) from images of Bangla scripts comprising words, lines, and document-level annotations. The BN-HTRd dataset is based on the BBC Bangla News corpus - which acted as ground truth texts for the handwritings. Our dataset contains a total of 786 full-page images collected from 150 different writers. With a staggering 1,08,18 instances of handwritten words, distributed over 14,383 lines and 23,115 unique words, this is currently the 'largest and most comprehensive dataset' in this field. We also provided the bounding box annotations (YOLO format) for the segmentation of words/lines and the ground truth annotations for full-text, along with the segmented images and their positions. The contents of our dataset came from a diverse news category, and annotators of different ages, genders, and backgrounds, having variability in writing styles. The BN-HTRd dataset can be adopted as a basis for various handwriting classification tasks such as end-to-end document recognition, word-spotting, word/line segmentation, and so on. 

The statistics of the original dataset are given below:

-------------------------------------------------
Number of writers = 150
Total number of images = 786
Total number of lines = 14,383
Total number of words = 1,08,18
Total number of unique words = 23,115
Total number of punctuation = 7,446
Total number of characters = 5,74,203
-------------------------------------------------


# From v3.0, we are also providing automatic bounding box annotations (YOLO format) of 805 document images containing words/lines. The statistics of the automatic annotations are given below:

-------------------------------------------------
Number of writers = 87
Total number of images = 805
Total number of lines = 14,836
Total number of words = 1,06,135
-------------------------------------------------
DOI: 10.17632/f2r8whrtyx
title: Maternal Depression Dataset: A Machine Learning Perspective on the Mental Health Analysis of Mothers of School-Going Children in Dhaka using the Zung SDS Scale

description: This dataset comprises socio-demographic attributes and psychological depression indicators, collected using the Zung Self-Rating Depression Scale (SDS). The study specifically focuses on mothers of school-going children in Dhaka, Bangladesh, aiming to evaluate their mental health conditions.

Data Collection Methodology:
Initially, the dataset was collected from 12 schools in Dhaka, selecting mothers of children enrolled in public and private institutions. Participants were chosen randomly, ensuring representation from diverse educational backgrounds. The inclusion criteria required mothers of children from classes V to VIII who had attended the same school for at least six months. Additionally, data was collected from the Daffodil Institute of Social Sciences (DISS) to enhance the dataset’s diversity.

The dataset contains 594 records classified into four depression severity levels:
1. Not Depressed
2. Mild Depressed
3. Moderate Depressed
4. Severe Depressed


Features:
The dataset integrates socio-demographic information, including age range, marital status, education level, and occupation, along with mental health indicators such as:

- Emotional Well-being: Downhearted feelings, crying spells, hopelessness
- Physiological Symptoms: Sleep disturbances, appetite changes, weight loss, increased heart rate
- Cognitive Patterns: Trouble concentrating, decision-making difficulty, restlessness
- Suicidal Ideation: Feelings of being "better off dead"


Applications in Machine Learning & Health Informatics:
- Predictive modeling for maternal depression assessment
- Explainable AI (XAI) for interpretable mental health diagnosis
- mHealth applications for early detection and intervention
- Statistical and behavioral analysis of psychological distress
DOI: 10.6084/m9.figshare.14186522.v1
title: Genome annotation

description: We annotated the genome with the Braker2 pipeline (Brůna, Hoff, Lomsadze, Stanke, & Borodovsky, 2020; v2.1.5, Hoff, Lomsadze, Borodovsky, & Stanke, 2019). Both RNAseq- and protein-derived hints were used to train GeneMark-ETP, which predictions were in turn used to train Augustus and obtain the final gene set. All protein data available for Arthropoda were downloaded from OrthoDB (v10, Kriventseva et al. 2019, https://v100.orthodb.org/download/odb10_arthropoda_fasta.tar.gz, last accessed 22.07.2020) and aligned using ProtHint. This dataset contains 2.6 million sequences and encompasses 170 species, including 40 of the same order (Hymenoptera) and 17 of the same family (Formicidae). RNAseq data produced above was aligned against the hard-masked genome using STAR (v2.7.2, Dobin et al., 2013), and secondary alignments were removed with SAMtools (v1.10, Li et al., 2009). After the Braker2 run, protein sequences of all gene models not supported by at least one hint were blasted against the Uniprot database (UniProt Consortium, 2019) and all models without any hit on Aculeata (wasps, bees and ants) were discarded from the final gene set.
DOI: 10.6084/m9.figshare.4161849.v1
title: Supplementary Material for: Encephalography Connectivity on Sources in Male Nonsmokers after Nicotine Administration during the Resting State

description: We present an encephalography (EEG) connectivity study where 30 healthy male nonsmokers were randomly allocated either to a nicotine group (14 subjects, 7 mg of transdermal nicotine) or to a placebo group. EEG activity was recorded in an eyes-open (EO) and eyes-closed (EC) condition before and after drug administration. This is a reanalysis of a previous dataset. Through a source reconstruction procedure, we extracted 13 time series representing 13 sources belonging to a resting-state network. Here, we conducted connectivity analysis (renormalized partial directed coherence; rPDC) on sources, focusing on the frequency range of 8.5-18.4 Hz, subdivided into 3 frequency bands (α<sub>1</sub>, α<sub>2</sub>, and β<sub>1</sub>) with the hypothesis that an increase in vigilance would modulate connectivity. Furthermore, a phase-amplitude coupling (mean resultant vector length; VL) analysis, was performed investigating whether an increase of vigilance would modulate phase-amplitude coupling. In the VL analysis we estimated the coupling of the phases of 3 low frequencies (α<sub>1</sub>, α<sub>2</sub>, and β<sub>1</sub>), respectively, with the amplitude of high-frequency oscillations (30-40 Hz, low γ). With rPDC we found that during the EC condition, nicotine decreased feedback connectivity (from the precentral gyrus to precuneus, angular gyrus, cuneus and superior occipital gyrus) at 10.5-12.4 Hz. The VL analysis showed nicotine-induced increases in coupling at 10.5-18.4 Hz in the precuneus, cuneus and superior occipital gyrus during the EC condition. During the EO condition, no significant results were found in connectivity or phase-amplitude coupling measures at any frequency range. In conclusion, the results suggest that nicotine potentially increases the level of vigilance in the EC condition.
DOI: 10.6084/m9.figshare.20250402.v1
title: Excitation of Saturnian ECH waves within remote plasma injections: Cassini Observations

description: The date can be used to reproduce results in our papers. <br>
DOI: 10.6084/m9.figshare.26049433.v3
title: Quadro 1 Tradução e adaptação transcultural do CPQ. São Carlos, SP, 2023..pdf

description: Objetivo: Adaptar transculturalmente para o português brasileiro o "Computer Proficiency Questionnaire" (CPQ) e validar seu constructo. Método: Um estudo metodológico foi conduzido seguindo as etapas recomendadas por procedimentos padronizados internacionalmente, incluindo tradução inicial, síntese das traduções, retrotradução e adaptação transcultural por meio de equivalência semântica, idiomática e conceitual, realizadas por um comitê de cinco especialistas em Gerontologia. O pré-teste foi aplicado em 20 pessoas idosas. Resultados: Após avaliação dos especialistas, foram identificadas discordâncias em itens que não faziam parte do contexto brasileiro, como o uso de trackball e salas de bate-papo. Esses itens foram substituídos por itens mais adequados para a cultura brasileira, como o uso de webcam e salas de videoconferência. Após as correções, o questionário foi considerado de fácil compreensão pelos participantes idosos. O questionário obteve excelente consistência interna com alfa de Cronbach de 0,98. Conclusão: O CPQ pode ser uma ferramenta valiosa para avaliar a proficiência de adultos mais velhos no uso de computadores no Brasil. Sua aplicação pode impactar positivamente práticas e políticas voltadas para pessoas mais velhas, contribuindo para intervenções de inclusão digital mais relevantes e personalizadas.
DOI: 10.6084/m9.figshare.9788333.v1
title: University of Mississippi Field Station weather data

description: Temperature and rainfall data from the University of Mississippi Field Station. Temperature data start on 6 December 2016 and rainfall data start on 22 October 2016. Both rainfall and temperature data end on 21 August 2019, with a gap in rainfall data from 19 March 2019 until 23 July 2019. <br>
DOI: 10.17632/bvz2jz99xh
title: A global Curie depth model utilising the equivalent source magnetic dipole method

description: An updated global Curie depth model by employing the equivalent source dipole method to fit the lithospheric magnetic field model LCS-1 from spherical harmonic degree 16 to 100
DOI: 10.6084/m9.figshare.18864071.v1
title: Thyroid Hormone Abuse in Elite Sports: A Regulatory Challenge

description: Selection of websites promoting T3 use for bodybuilding<br>
DOI: 10.6084/m9.figshare.26172922.v1
title: <sup>‘Invisible Sportswomen’: The Gender Data Gap in Sport and Exercise Science Research, 2014-2020</sup>

description: This dataset includes information regarding participant sex from 6 sport and exercise science journals between the years 2014 and 2020. The dataset includes information on the total number of participants included in each study, the breakdown of participant sex for each article, first author surname, if the article title included the sex of specific cohort (e.g. “Facilitators and barriers to physical activity for teenage girls”), and also captured if the article focuses on a sex-specific health topic, e.g. prostate cancer, pregnancy, menstrual cycle etc. The data also include information on the number reviews and non-human research (e.g. animal or cell studies) conducted in each year for each of the six journals.
DOI: 10.17632/jthx67f54v
title: Commodity Dependence and Trade Variables of Selected Sub-Saharan Countries

description: The study used annual balanced panel data from 2000 to 2020 that was obtained from world bank (World Development Indicators, 2022). These include: terms of trade (TOT), exchange rate (XRATE) and balance of trade (BOT), export value of the dependent commodity of country, total export value of country and trade openness. Data of control variables (gross capitation formation (GCF) and population growth (POPGT)) were also collected from WDI. Data for agricultural commodity prices, global oil prices (GOP) and mineral and metal ore prices are obtained from World Bank commodity price data portal. The commodity dependency index of country i at time i was computed as the as the ratio of export value of the dependent commodity to the total export value of the country. Due the challenge of obtaining the consistent data, 31 sub-Saharan countries were considered in the study. Specifically, 11 agricultural commodity dependent countries, 6 energy commodity dependent countries and 14 mineral and metal ore dependent countries were selected. Appendix Table 1 provide a list of these countries.
DOI: 10.17632/pcvgf6sh9z
title: FTSE/ATHEX Large Cap index intraday price (spot and future)

description: The dataset for "Fassas, A. P., & Siriopoulos, C. (2019). Intraday price discovery and volatility spillovers in an emerging market. International Review of Economics & Finance, 59, 333-346". It includes the cash and futures prices at thirty-minute intervals from 02 January 2013 to 31 December 2014 for the FTSE/ATHEX Large Cap index and the corresponding futures contract.