cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/s6gyxb2cg9
title: SeasVeg: An Image Dataset of Bangladeshi Seasonal Vegetables

description: This dataset introduces a newly developed dataset named "SeasVeg," which includes Ten different types of seasonal vegetables from various regions in Pabna and Dhaka, Bangladesh. The ten different categories are Carica Papaya, Momordica dioica, Abelmoschus esculentus, Lablab purpureus, Trichosanthes cucumerina, Trichosanthes dioica, Solanum Iycopersicum, Brassica oleracea, Momordica charantia, Raphanus sativus. The dataset contains a total of 1,500 original images, along with an additional 3000 augmented images. We meticulously captured each original image under natural lighting conditions with an appropriate background. This comprehensive dataset holds immense potential for researchers in utilizing various ML and DL methods to advance the healthcare sector significantly. It is a valuable resource for future investigations, laying the foundation for crucial developments in these domains.
DOI: 10.17632/wxbcdbtwm6
title: No evidence for a genetic causal relationship between Helicobacter Pylori infection and rosacea: A 2-Sample Mendelian randomization study

description: No evidence for a genetic causal relationship between Helicobacter Pylori infection and rosacea: A 2-Sample Mendelian randomization study
DOI: 10.6084/m9.figshare.14325378.v1
title: Distortional-Global Buckling Interaction Relevance in Cold-Formed Steel Lipped Channel Columns

description: Abstract Buckling mode interaction in cold-formed steel (CFS) members must be considered for the structural design, which may lead to a significant reduction of the structural strength, usually recognized as erosion of the limit load. So far, the distortional-global (DG) buckling interaction is not covered by codes, e.g. Brazilian code NBR 14762:2010. The present investigation is aimed at the DG interaction of CFS lipped channel (LC) columns, which is the most usual section. The methodology evolves a parametric analysis, over a single LC column under DG buckling interaction. First, a study of initial geometric imperfection (IGI) sensibility is performed, with the purpose of understanding the influence of the IGI on the column’s behavior. Moreover, the parametric analysis is extended to a set of yielding stress and column lengths, to understand the ultimate load under different types of DG buckling interaction natures. Conclusions on this research have been shown that the actual global buckling equation from the Direct Strength Method is already suitable to cover the DG buckling interaction for the case of lipped channel columns.
DOI: 10.17632/g35xsvpzv2
title: Field Data and Map

description: Field data is collected through a structured questionnaire. The questionniare included direct questions with options to answer and also statement based questions to be responded in Likert Scale. Mainly the statement based questions were used to assess the fire disaster coping capacity of the community of the study area. Others questions supported to understand limitations or strengths regarding the coping capacity. Data cleaning was performed before providing input in SPSS.
DOI: 10.6084/m9.figshare.24688110.v1
title: Norman et al., 2019 (Science) labeled Perturb-seq data

description: AnnData object containing single-cell gene expression levels of from a large-scale Perturb-seq CRISPR experiment from "Exploring genetic interaction manifolds constructed from rich single-cell phenotypes". Cells were labeled according to perturbation categories provided by the original authors. Data preprocessed as decribed in "Isolating salient variations of interest in single-cell data with contrastiveVI" (Nature Methods 2023).
DOI: 10.6084/m9.figshare.5450080.v5
title: Synthetic Arabidopsis Rosettes for Leaf Counting

description: The included data represents seven different datasets of synthetically generated Arabidopsis thaliana rosettes. The included spreadsheet provides details of the differences between the seven datasets. Ground truth leaf count values are provided in each dataset folder as a CSV file named `labels.txt`.
DOI: 10.17632/4bd93j9yrr
title: Metabolic Profiling of Urinary Chiral Amino-containing Biomarkers for Gastric Cancer Using a Sensitive Chiral Chlorine-labeled Probe by HPLC-MS/MS

description: An Excel spreadsheet containing four tabs: 1. Demographic data of 164 urine samples. 2. IT-TOF MS data of 9 unknown differential metabolites (the compounds are derivatives) collected in the negative ionization mode. 3. QQQ MS peak area raw data collected in both the positive and negative ionization modes. 4. Absolute and relative content of compounds calculated by the internal standard method with the established calibration curves and corrected with the creatinine concentration.
DOI: 10.17632/4dss5hyc3j
title: Blood test results

description: This is the original data of the hematological test of the experimental animals 1 week before surgery, 1 week after surgery, and 1 month after surgery.
DOI: 10.17632/65nz2zkzvp
title: Phenomenological exploration of Experiences, Satisfaction and Quality of Life after 1-month Total Knee Arthroplasty rehabilitation: “Pain decreased; discomfort disappeared”

description: A phenemenological qualitative study to explore patient satisfaction and experiences one month after rehabilitation following TKA in a LMIC through semi- structured interviews with seven patients, emerging four themes.
DOI: 10.17632/6z2hjkr29f
title: Microbial Source Tracking for Selected Waterbodies within Hillsborough County Compiled Data

description: This dataset contains all microbial data collected (February 2023-January 2025) for the Microbial Source Tracking for Selected Waterbodies within Hillsborough County project. This includes measurements of concentrations of fecal indicator bacteria (Escherichia coli and enterococci) and microbial source tracking markers (HF183, GenBac, GFD, and Rum2Bac), and detections of culturable E. coli that carry the sewage-associated H8 gene. Surface water was sampled in three different water bodies (the Alafia River, Buckhorn Creek, and Rice Creek) on a monthly basis. Environmental data including precipitation is included in the datasheet.
DOI: 10.17632/77sbmmyfky
title: Supplemental Figure 4 A-C

description: Supplemental Figure 4 A-C: Fitzpatrick skin type II, nail toxicity after treatment with epidermal growth factor inhibitor for pancreatic cancer. Fingernails with subungual hemorrhages and severe onycholysis (courtesy of Dr. J. Smith – UC Irvine)
DOI: 10.6084/m9.figshare.22786952.v1
title: Excel tables

description: This repository describes the dataset used for intraspecific (among individuals) and intraspecific (between species) comparisons, and data for female-entrance analysis.
DOI: 10.6084/m9.figshare.25470037.v1
title: Genome and annotation of <i>Citrus reticulata</i> ‘Chachi’

description: Genome and annotation of <i>Citrus reticulata</i> ‘Chachi’
DOI: 10.6084/m9.figshare.28929611.v1
title: Factors driving the home-field advantage in litter decomposition: Decomposer ability and starvation disturbance

description: Litter decomposition is a key ecological process influencing carbon and nutrient cycling. Decomposer communities often perform better on locally familiar litter, a phenomenon known as home-field advantage (HFA). By synthesizing 1,213 observations using two analytical models, we quantified global HFA effects and identified environmental drivers. Our findings show that HFA can significantly enhance decomposition, particularly under nutrient-rich and climatically distinct conditions. Variability in microbial traits and litter quality plays a major role in shaping HFA strength. These insights deepen our understanding of microbial adaptation and decomposition dynamics, improving predictions of ecosystem functioning under changing environmental conditions.
DOI: 10.6084/m9.figshare.3562833.v1
title: Appendix B. Proof of Eqs. A1.

description: Proof of Eqs. A1.
DOI: 10.17632/vy6rxr85cr
title: A prediction model of Lockout/Tagout safety procedures for smart maintenance strategies

description: The data are in Pickle format. Pickle in Python is primarily used in serializing and deserializing a Python object structure. In other words, it's the process of converting a Python object into a byte stream to store it in a file/database, maintain program state across sessions, or transport data over the network.

These tables provide the names of the machines and the devices to be locked to secure them. 
df_name associates each sheet with its name. Each row corresponds to the ID of the Lockout/Tagout (LOTO) cards. The columns consist of the dictionary of machine names.
df_dispo associates each sheet with the types and numbers of devices to be locked. Each line corresponds to the ID of the Lockout/Tagout (LOTO) cards. The columns consist of the list of devices.
The df_name and df_dispo lines refer to the same LOTO sheet.

The authors are available for further questions if needed.
DOI: 10.6084/m9.figshare.17198275.v1
title: CARL classifier activity recognition data

description: This .zip file contains the accelerometry data used to develop, validate, and test the CARL classifier described in the following paper:<br>Davis, Straczkiewicz, Harezlak, and Gruber. CARL: A running recognition algorithm for free-living accelerometer data. Physiological Measurement. 2021. doi: 10.1088/1361-6579/ac41b8<br>For a detailed description of the data, see the Data README.md file.<br>SHA256 checksum of the .zip file: c2f08f4bde72ec5299a3ab2c485a0cef964a87256590628ae251701838fdcbec
DOI: 10.6084/m9.figshare.19962830.v2
title: lsrm comparison with cbcl&ysr

description: Code for comparing hidden structure of cbcl and ysr using LSRM CBCL_item.txt and YSR_item.txt is binary matrix that are used in CBCL and YSR analysis. Use lsrm_DA.ipynb for fitting lsrm Other notebooks contains: defining functions like calculating overlapped portion, KL-divergence, Jaccard similarity loading and post processing of each result Point estimate Calculate basic matrix using pre-defined function Basic visualization using basic matrix
DOI: 10.17632/d4n32gbmk4
title: Multi-Weather Pothole Detection (MWPD)

description: The Multi-Weather-Based Pothole Detection Dataset is a comprehensive collection of images designed to aid in developing and evaluating deep learning models for detecting road surface anomalies, particularly potholes, under diverse environmental conditions. Images captured under normal weather, and rainy conditions include variations in lighting, such as daytime, twilight, and nighttime settings. We tried to add high-quality images to ensure the clarity of road surface details. It facilitates the detection of small and partially obscured potholes. In the dataset, potholes are precisely annotated with bounding boxes. This dataset is meticulously curated to reflect weather scenarios, ensuring robust and adaptable pothole detection systems. We performed a few augmentation techniques, namely scaling, shifting, shearing, cropping, rotation, color perturbation, contrast adjustment, noise addition, and brightness adjustment through Roboflow platform.
DOI: 10.6084/m9.figshare.12098304.v1
title: Analytical Data of Aetokthonotoxin

description: NMR and Imaging-MS raw data as well as X-ray crystallography data of Aetokthonotoxin (AETX), a brominated biindole alkaloid isolated from the cyanobacterium Aetokthonos hydrillicola<br>
DOI: 10.6084/m9.figshare.1515995.v14
title: American Civil War Battle Data

description: American Civil War Battle Data
DOI: 10.17632/szsbgmvn8r
title: Data: Sustainable self-reinforced biocomposites based on PHBV with PHBV microparticles produced by melt processing for packaging applications

description: Sustainable self-reinforced biocomposites based on PHBV with PHBV microparticles produced by melt processing for packaging applications
DOI: 10.17632/tgbzv7zxm8
title: Organisational change and workers' performance

description: Our measurement model included five key latent constructs (organisational change, technology, leadership, culture, and workers’ performance). The assessment of the reflective measurement model includes an evaluation of its reliability and validity in relation to the latent constructs. This includes assessing the associations between the latent constructs and their observed indicators, which are displayed by the measurement model. We assessed the internal consistency reliability and convergent validity of our model with composite reliability (CR) and average variance extracted (AVE). Results indicate that CR of all the latent constructs in our model was higher than 0.70. Similarly, Cronbach α’s were all within the acceptable threshold. These results indicate that our measurement model exhibits good internal consistency. Further, an assessment of convergent and discriminant validity was carried out to substantiate the validity of our results. To establish convergent validity, we evaluated the AVE of our constructs against the threshold of 0.50. Results show that the AVEs were all above 0.50, which means that the constructs could be deemed to have convergent validity. Assessment of the structural model was based on the magnitude and significance of the path coefficients. Results of the hypotheses testing indicate that organisational change was found to have a direct significant effect on workers’ performance (H1). However, the primary focus of this study was to examine the mediating effects of technology, leadership, and culture in the relationship between organisational change and workers’ performance. Results of the direct effects of organisational change on the three mediating variables (leadership, culture and technology) were all significant lending support to H2a, H3a, H4a. Equally important is the fact that the relationship between leadership and workers’ performance, and culture and workers’ performance were all significant lending support to H3b and H4b. However, the relationship between technology and workers’ performance was not significant. We further conducted a bias-corrected bootstrapping analysis at 95% CI to estimate the indirect effect of organisational change on workers’ performance via the three mediating variables. Results confirm the existence of positive and significant mediating effects (culture and leadership), and not significant mediating effect (technology). Thus, only H3a, H3b, H4a, and H4b were supported. Finally, the direct effect of organisational change on workers’ performance reveals that leadership and culture partially mediate the relationship between organisational change and workers’ performance.
DOI: 10.6084/m9.figshare.25464208.v1
title: Data for Dynamic Interdependence Between Crude Oil and the Automobile Equities Amid Uncertainties

description: This current paper evaluates the variational dependence between WTI crude oil and stock returns in the automotive sector, encompassing those operated in New York (Tesla, Toyota, Volkswagen, and Honda) and Shanghai (Chongqing, BYD, JAC, and SAIC), utilising wavelet coherence analysis. The analysis employs daily datasets from January 2013, to December 2022. Findings from the wavelet coherence analysis reveal diverse and asymmetric correlations among the sample markets. Notably, crude oil price shocks exert a significantly adverse impact on automobile equities, particularly during monthly to quarterly intervals amid the global health crisis and the Russia-Ukraine conflict era, while weekly and annual intervals of the same period display varying levels of integration, albeit mostly weak to moderate. Prior to the global health crisis, crude oil price fluctuations positively influenced certain automobile equity markets, notably Honda, Toyota, and Volkswagen. Toyota and BYD returns acted as a refuge for WTI returns in the long run, while Tesla, Volkswagen, and JAC returns served as both hedge and safe haven assets over the same horizon. Moreover, the Shanghai Stock Exchange exhibits greater reactivity to shocks compared to the New York Stock Exchange, with crude oil driving automobile stocks across the observation period. Validation through Diks and Panchenko causality tests confirms these results, with minor exceptions. By elucidating the crude oil-equity interdependence across diverse timeframes, this inquiry furnishes noteworthy insights conducive to policy formulation, alongside substantiating evidence for the development of diversification strategies and the implementation of risk management protocols.
DOI: 10.6084/m9.figshare.25683825.v1
title: <b>Checklist de enfermagem para neuroproteção de pacientes neurocritIcos em pós-operatório de neurocirurgia na terapia intensiva</b>

description: <b>Objetivo</b>: elaborar, com base na prática de cuidados prestados por enfermeiros em pós-operatório de neurocirurgia, um modelo de tecnologia de cuidado do tipo checklist para a promoção de boas práticas de neuroproteção de pacientes neurocríticos. <b>Métodos</b>: estudo de elaboração de tecnologia, desenvolvido em três etapas: revisão da literatura; avaliação da prática de cuidados prestados em pós-operatório de neurocirurgia por meio de entrevista com dez enfermeiros de um hospital público; e elaboração do protótipo de tecnologia de cuidado do tipo checklist. <b>Resultados</b>: Da revisão emergiram temas relacionados: aos cuidados de enfermagem ao paciente neurocrítico em pós-operatório na terapia intensiva e a importância do enfermeiro capacitado em neurologia nos cuidados ao paciente neurocrítico. Da avaliação da prática de cuidados emergiram temas voltados para: cuidados imediatos no momento da admissão na UTI, cuidados de enfermagem nas primeiras horas e o uso de escalas, cuidados com dispositivos e curativos, vigilância neurológica intensiva, formato da Tecnologia de Cuidado. O modelo do tipo checklist foi elaborado na ferramenta Google Planilhas®, com 16 itens, sendo nove de múltipla escolha e sete de preenchimento manual. <b>Conclusão</b>: construiu-se um modelo de checklist que objetiva guiar as condutas da equipe de enfermagem com vistas a garantir boas práticas de neuroproteção de pacientes neurocríticos.
DOI: 10.6084/m9.figshare.26828950.v1
title: CldNetV2 - 202207

description: Retrieval of all-day cloud property based on satellite remote sensing dataGithub page: https://github.com/metdai/PMD-CldNetV2
DOI: 10.6084/m9.figshare.27645090.v2
title: Emotional working memory training of social anxiety

description: This project investigates the effects of emotional working memory training (EWMT) on social anxiety. Specifically, it explores how EWMT interventions can impact attentional bias and emotional regulation in individuals with social anxiety, using quantitative data analysis. The project seeks to identify potential cognitive benefits of EWMT in mitigating symptoms of social anxiety, contributing to evidence-based approaches in therapeutic settings. This research aims to advance understanding in both clinical applications and the development of cognitive training protocols targeting anxiety-related cognitive processes.
DOI: 10.6084/m9.figshare.27684762.v1
title: Supplementary Material for: Comprehensive analysis of radiologic cancer-free (rCF) status through various treatment approaches in advanced-stage hepatocellular carcinoma

description: Introduction
In the realm of oncology, the pinnacle of therapeutic success is achieving a state where the patient is entirely free of cancer, i.e. ‘cancer-free’. This benchmark should not only apply to early-stage malignancies but should also be the standard aim for advanced-stage diseases, including hepatocellular carcinoma (HCC). However, there is a glaring gap in the research landscape concerning the understanding of what cancer-free status truly means for advanced-stage HCC. Our study sheds light on the profound implications of reaching a cancer-free by radiological assessments in patients with advanced-stage HCC.
Methods
We established a database tracking the full clinical course of all patients with HCC (from 2003–2022). We identified the initial instances of macrovascular invasion or extrahepatic spread. We defined radiologic cancer-free (rCF) as cases in which no recurrence was observed for at least 2 months following curative treatment or complete response to systemic therapies. The frequency of achieving rCF status was investigated, categorised by patients’ background.
Results
We identified 795 patients with advanced-stage HCC. The rCF rate was 8.7%. Patients who achieved rCF status had significantly better prognoses compared to those who did not (p &lt; 0.001). In the decision tree analysis, the number of tumors ≥8 was the strongest factor making it difficult to achieve rCF status. Analysis of stage progression patterns revealed varying background characteristics at the time of advanced-stage diagnosis, with discrepancies in rCF rates.
Conclusions
Despite the low rate of achieving rCF status, the prognostic impact was significant. Patients with certain tumor characteristics had a higher likelihood of achieving rCF status. The distribution of tumor conditions varies based on the pattern of progression, which affects the likelihood of achieving a rCF status.
DOI: 10.6084/m9.figshare.28238957.v1
title: Supplementary Material for: Ferritin to Transferrin Ratio: a new prognostic factor for renal cell carcinoma

description: Objectives: To assess the prognostic value of the preoperative serum ferritin-to-transferrin ratio (FTR) in renal cell carcinoma (RCC).
Methods：We retrospectively reviewed data from 226 patients who underwent surgery for non-metastatic RCC at our institution between January 1, 2012, and June 30, 2021. Time-dependent receiver operating characteristic (timeROC) analysis identified the optimal FTR cut-off, dividing patients into high and low FTR groups. Propensity score matching (PSM) adjusted for baseline differences. Recurrence-free survival (RFS) and overall survival (OS) were analyzed using the Kaplan–Meier method and Cox regression, with a nomogram validating the results.
Results: The timeROC analysis showed a 5-year area under the curve (AUC) of 0.786 for FTR, with 68.4% sensitivity and 86.7% specificity at a cut-off of 177.1. High FTR and clinical stage were independent risk factors for OS and RFS. The hazard ratios (HR) for OS and RFS in the high and low FTR groups were 2.598(1.087-6.213), P=0.032 and 2.591(1.105-6.074), P=0.029, respectively. Kaplan–Meier curves showed significant differences post-PSM (log rank P&lt;0.05). The nomogram validation indicated high predictive accuracy with a C-index of 0.867 (95% CI: 0.836-0.899) for OS and 0.808 (95% CI: 0.764-0.852) for RFS.
Conclusion：Our findings suggest that FTR may serve as an independent prognostic risk factor in patients with locally and locally advanced renal cell carcinoma.
DOI: 10.6084/m9.figshare.28357232.v1
title: Evaluation of Community Pharmacists' Knowledge and Attitude about Hajj and Umrah-related health conditions in the Western Region, Saudi Arabia: A Cross-sectional study.

description: Raw data used for evaluating Community Pharmacists' Knowledge and Attitude about Hajj and Umrah-related health conditions in the Western Region, Saudi Arabia: A Cross-sectional study.<br>
DOI: 10.6084/m9.figshare.28457672.v1
title: Earth greening and climate change reshaping the patterns of terrestrial water sinks and sources

description: We use multisource datasets from climate model projections, remote sensing, and local measurements to examine the impact of vegetation dynamics on water availability over the periods of 1982 to 2019 and 2015 to 2100.The datasets includes the results of our main findings.
DOI: 10.6084/m9.figshare.7408322.v1
title: SIRS_SM_2005_caption.xlsx

description: Data for the paper "Who self-medicates? Results from structural equation modeling in the Greater Paris area, France."