cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3519221.v1
title: Appendix A. A table depicting details for all the studies used in this meta-analysis on crop rotation effects on soil microbial biomass and organic matter dynamics, including a full list of the references used in this meta-analysis and their DOIs.

description: A table depicting details for all the studies used in this meta-analysis on crop rotation effects on soil microbial biomass and organic matter dynamics, including a full list of the references used in this meta-analysis and their DOIs.
DOI: 10.6084/m9.figshare.22680424.v1
title: FreeMoCap Sample Data - 2022-09-19_16_16_50_in_class_jsm

description: Sample data from a `freemocap` session. <br> For more info see: <br> https://freemocap.readthedocs.io https://github.com/freemocap/freemocap
DOI: 10.17632/32v9gprkng
title: Matriz articulos seleccionados

description: Tabla con articulos identificados como a partir de a revision de la literatura realizada como seleccionados de forma definita, para el Scoping Review denominado "Indicadores de calidad, estrategia de mejora en los servicios de laboratorio clínico. Scoping Review."
DOI: 10.17632/ckgvgwtyxw
title: JGR_2019JD031941

description: Model outputs used for the paper entitled: "Quantifying the Impact of Excess Moisture from Transpiration from Crops on an Extreme Heat Wave Event in the Midwestern U.S.: A Top-down Constraint from MODIS Water Vapor Retrieval."
DOI: 10.17632/n85ddgkvd9
title: Dataset – Artificial Neural Network (ANN) modelling of wastewater BOD and COD remediation using Hydroponic Vetiver System (HVS)

description: The authors have reviewed 12 studies that evaluate the wastewater remediation potential of Biochemical oxygen demand (BOD) and Chemical oxygen demand (COD) by application of the Vetiver Grass (VG) under hydroponic conditions. 105 datasets of improvement of BOD and COD, each, using the Hydroponic Vetiver system (HVS) were separately tabulated (Ghosh & Sarkar, 2021). Then, HVS predictive modelling of wastewater remediation of BOD and COD was done using Artificial Neural Network (ANN). Four neural networks (NN) were trained and their respective results are tabulated below as per the following nomenclature: • Table 1: NN1 – BOD All Data (105 datasets) • Table 2: NN2 – BOD Truncated Data (85 datasets) • Table 3: NN3 – COD All Data (105 datasets) • Table 4: NN4 – COD Truncated Data (84 datasets) The independent (x) and dependent (Y) variable denominations used for data tabulation were as follows: • Y = Removal efficiency of pollutant parameters of BOD/COD (%) • x1 = inlet or influent pollutant concentration of BOD/COD (mg/L) • x2 = initial plant density (tillers/cu.m) • x3 = hydraulic retention time (HRT) (days) • x4 = molarity of H+ ions (no.), referred henceforth as 'molarity' (mol/L) The four tables are listed subsequently. References: Ghosh, K., & Sarkar, A. (2021). Review dataset of Hydroponic Vetiver System (HVS) experiments on wastewater remediation of BOD and COD. Mendeley Data, V3. https://doi.org/10.17632/d48d22wdy5.3
DOI: 10.17632/pzbxdmhz4p
title: Data for: An Analytical Formula for Vix Futures and Its Applications: Error Corrections and Replication

description: Daily VIX futures price data, download from CBOE, processed and used to generate summary statistics in Table II.
DOI: 10.17632/zbwyvbb8r4
title: UCI open ML dataset - car

description: UCI open ML dataset - car more informationL; http://archive.ics.uci.edu/ml/datasets/Car+Evaluation
DOI: 10.6084/m9.figshare.22691266.v2
title: Untitled Item

description: The MIDOG++ dataset represents an extension of the data set used in the MIDOG 2021 and 2022 challenges. We provide region of interest images from 503 histological specimens of seven different tumor types with variable morphology: breast carcinoma, lung carcinoma, lymphosarcoma, neuroendocrine tumor, cutaneous mast cell tumor, cutaneous melanoma, and (sub)cutaneous soft tissue sarcoma. The human and canine samples were processed and stained at different human and veterinary pathology laboratories with standard H&E dye and digitized with different digital whole slide image scanners. We provide labels for 11,937 mitotic figures that have been differentiated against 14,351 imposter cells in a blinded consensus by two pathologists and a final decision by a third pathologist for disagreed labels.
DOI: 10.6084/m9.figshare.24420706.v2
title: <b>Telomere-to-telomere genome of the allotetraploid legume</b><b> </b><b><i>Sesbania cannabina</i></b><b><i> </i></b><b>reveals transposon-driven subgenome divergence and mechanisms of alkaline stress tolerance</b>

description: <b>Telomere-to-telomere genome of the allotetraploid legume</b><b> </b><b><i>Sesbania cannabina</i></b><b><i> </i></b><b>reveals transposon-driven subgenome divergence and mechanisms of alkaline stress tolerance</b>
DOI: 10.6084/m9.figshare.6265364.v1
title: Patient03

description: Male Patient with 210 slice of pulmonary embolism CT-Angiography.
DOI: 10.6084/m9.figshare.c.3607004_d1.v1
title: MOESM4 of Structural and functional analysis of four non-coding Y RNAs from Chinese hamster cells: identification, molecular dynamics simulations and DNA replication initiation assays

description: Additional file 4: Files S1. Y RNAs files in the.pdb format.
DOI: 10.17632/t93k4zxbxj
title: Evaluation of the Measurement Properties and Validation of the Skindex-16 Among Patients with Acne: Supplement

description: Supplemental Material: Evaluation of the Measurement Properties and Validation of the Skindex-16 Among Patients with Acne
DOI: 10.6084/m9.figshare.14820318.v2
title: CRC_CD45_rda

description: The expression matrix and metadata for single-cell RNA sequencing data of colorectal cancer patients and mouse treated with anti-CSF1R and anti-CD40. The data was generated in paper <b>Single-Cell Analyses Inform Mechanisms of Myeloid-Targeted Therapies in Colon Cancer</b>.
DOI: 10.6084/m9.figshare.25201322.v3
title: Game-Based STEM Education Trends: 2013-2023 Dataset Analysis

description: This dataset was used to encompass a comprehensive quantitative textual analysis of scholarly publications from 2013 to 2022, focusing on the application of gamified approaches to STEM education in secondary schools. The study scrutinizes the evolution of game-based educational methodologies, pinpointing main research trends, shifts in educational priorities, and technological advancements in the teaching and learning of STEM subjects. Initiated with a systematic collection from Web of Science and Scopus databases in March 2023, the dataset includes titles and abstracts of peer-reviewed research articles (n=116), conference papers (n=160), book chapters (n=7) and reviews (n=3), filtered through meticulously designed selection criteria to highlight relevant research in game-based learning, serious gaming, and edutainment within STEM disciplines. The final compilation, after rigorous screening for duplicates and relevance, presents 286 eligible abstracts, offering invaluable insights into the evolving landscape of gamified STEM education research over the past decade.
DOI: 10.17632/73n3kz2k4k
title: Panoramic Dental Xray Dataset

description: This dataset is divided into three distinct parts:

The first part includes 107 images, each with a resolution of 2964 × 1464 pixels, accompanied by annotations enabling tooth instance segmentation.

The second part contains 60 images, each with a resolution of 1024 × 512 pixels, annotated with the following classes: canine, central incisor, first molar, first premolar, lateral incisor, second molar, second premolar, and third molar.

The third part consists of 54 high-resolution panoramic radiographs, each with a resolution of 2888 × 1309 pixels.

The first two parts were acquired using the Orthoralix 9200 system (70 kV, 8 mA, and a 0.5 mm focal point). In contrast, the third part was obtained using the Dentio III digital panoramic and cephalometric imaging equipment (50-90 kV, CMOS sensor).

This dataset is used in a project aimed at leveraging deep convolutional neural networks (CNNs) to automate the segmentation and identification of teeth in panoramic dental radiographs.

When using this dataset, please cite the following two papers:

Brahmi, W., Jdey, I., & Drira, F. (2024). Exploring the role of Convolutional Neural Networks (CNN) in dental radiography segmentation: A comprehensive Systematic Literature Review. Engineering Applications of Artificial Intelligence, 133, 108510.

Brahmi, W., & Jdey, I. (2024). Automatic tooth instance segmentation and identification from panoramic X-Ray images using deep CNN. Multimedia Tools and Applications, 83(18), 55565–55585.
DOI: 10.6084/m9.figshare.14143757.v3
title: Pan-transcriptomic profiling reveals novel transcripts, isomorphs and non-coding RNAs in endemic pathogenic fungus Talaromyces marneffei

description: This manuscript describes a pan-transcriptomic profile of <i>Talaromyces marneffei</i> performed with the aid of an RNA-seq-based approach, aimed at characterizing the general transcriptome in this human pathogenic fungus, responsible for talaromycosis. Results confirm that ~58.28% of the genes currently annotated in the T. marneffei genome are, in fact, transcribed in vivo and that ~23.6% of them may display alternative isomorphs. Moreover, we identified 585 transcripts that do not match any gene currently mapped in the genome, represented by 7,358 coding transcripts and 211 non-coding RNAs (ncRNAs), including 102 long-non-coding RNAs (lncRNAs).
DOI: 10.6084/m9.figshare.1437663.v2
title: transcript GTF annotation of ICC in colon smooth muscle

description: transcript annotation of ICC in colon smooth muscle
DOI: 10.17632/876tc4dkts
title: Annotated The dUCk Tweets Dataset

description: This dataset is made up of unique annotated English-Malay code-switching, pure English, and pure Malay tweets using raw_tweets_012019_to_062020.csv on Kaggle (Carlson, 2020). The raw tweets file is the collected users’ tweets about a Malaysian brand called, ‘The dUCk Group’ which is founded by Vivy Yusof focuses on selling scarves, bags, cosmetics, stationaries, and Home & Living products. When preparing this dataset, the duplicated, invalid and unusable data rows are removed. The tweets are then annotated with the language category “ENG” for pure English tweets, “BM” for pure Malay tweets, and “ENG-BM” for the code-switching tweets. Besides, the tweets are annotated with sentiment value 0 for neutral, 1 for positive, and -1 for negative. The sub-folders contain in this dataset are as follows: 1) Full Training Dataset: This sub-folder contains a full set of annotated pure English, pure Malay, and English-Malay code-switching tweets regarding ‘The dUCk Group’ brand, which can be used to train machine learning models. The tweets are kept in both CSV and XML format files namely 'full_training_dataset.csv' and 'full_training_dataset.xml'. 2) Full Testing Dataset: This sub-folder contains a full set of annotated pure English, pure Malay, and English-Malay code-switching tweets regarding ‘The dUCk Group’ brand, which can be used to test the performance of learning models. The tweets are kept in both CSV and XML format files namely 'full_testing_dataset.csv' and 'full_testing_dataset.xml'. 3) Code-Switching Training Dataset: This sub-folder comprises only annotated English-Malay code-switching tweets regarding ‘The dUCk Group’ brand for training the learning models. The tweets are kept in both CSV and XML format files namely 'eng_malay_training_dataset.csv' and 'eng_malay_training_dataset.xml'. 4) Code-Switching Testing Dataset: This sub-folder comprises only annotated English-Malay code-switching tweets regarding ‘The dUCk Group’ brand, which can be used to evaluate the performance of the learning models. The tweets are kept in both CSV and XML format files namely 'eng_malay_testing_dataset.csv' and 'eng_malay_testing_dataset.xml. *Note: 'Language' column represents the language category of the tweet belongs to 'TweetText' column represents the whole tweet 'TweetSentiment' column represents the sentiment value of the tweet (0, 1, and -1)
DOI: 10.17632/fjd6fcfkwn
title: Dataset for acoustic features extracted from voice recordings of people suffering Parkinson’s disease and healthy subjects

description: The dataset contains acoustic features extracted from people suffering Parkinson’s disease and healthy subjects. 

All the information on data collection and dataset building is presented in the following paper. This paper is encouraged to be cited in case of any scientific research publication is produced using this dataset:

Carrón, J., Campos-Roca, Y., Madruga, M. et al. A mobile-assisted voice condition analysis system for Parkinson’s disease: assessment of usability conditions. BioMed Eng OnLine 20, 114 (2021). https://doi.org/10.1186/s12938-021-00951-y 

All the data is included in the .csv file. A brief description of attributes can be found in the .pdf file.

The research leading to this dataset has been funded by Agencia Estatal de Investigación, Ministerio de Ciencia e Innovación, Spain (Project MTM2017-86875-C3-2-R) and the dataset is part of the project PID2021-122209OB-C32. It has also been funded by Junta de Extremadura, Spain (Projects GR18108 and GR18055), the European Union (European Regional Development Funds), and grant number FPU18/03274.
DOI: 10.6084/m9.figshare.12086580.v1
title: Regression Data - The Determinant of Spatial Terrorism.xlsx

description: This is the data I use for the time-series regression in my paper, The Determinant of Spatial Terrorism. The spatial terrorism (ST) is the number of terrorist attacks around the globe measured by Moran’s <i>I</i> global spatial autocorrelation. I obtain the number of terrorist attacks from the Global Terrorism Database (GTD) and other variables from the World Bank World Development Indicator (WB-WDI). Any error is mine.
DOI: 10.6084/m9.figshare.21973142.v2
title: The questionnaire

description: The study questionnaire
DOI: 10.17632/g4mybythn3
title: RNN_Generalization_Process

description: This zip file contains all the csv training, test and simulated (simple) event logs from the paper "Can recurrent neural networks learn process model structure?"

If using any of the code/data presented here please cite: Peeperkorn, J., vanden Broucke, S. & De Weerdt, J. Can recurrent neural networks learn process model structure?. J Intell Inf Syst (2022). https://doi.org/10.1007/s10844-022-00765-x
DOI: 10.17632/x3nnrcjzjj
title: The Use of Minoxidil in the Treatment of Alopecia Areata: A Systematic Review

description: Reference List for Systematic Review
DOI: 10.6084/m9.figshare.14345888.v1
title: Supplementary Material for: Association of Progressive Supranuclear Palsy Rating Scale with Progressive Supranuclear Palsy Quality of Life Scale

description: <b><i>Introduction:</i></b> There is growing interest in using patient-reported outcomes as end points in clinical trials, such as the progressive supranuclear palsy quality of life (PSP-QoL) scale. However, this tool has not been widely validated and its correlation with validated motor scales has not been explored. To evaluate the potential utility of using PSP-QoL as an outcome, it is important to examine its relationship with a standard scale used to evaluate neurologic parameters, such as the PSP Rating Scale. <b><i>Methods:</i></b> PSP-QoL and PSP Rating Scale scores were gathered from 60 clinically diagnosed PSP patients, including patients with Richardson syndrome PSP (PSP-RS, <i>n</i> = 43) and those with non-RS PSP variants (<i>n</i> = 17). Linear regression analysis adjusted for age, sex, and disease duration was used to evaluate the cross-sectional relationship between the total and subscale scores of the 2 instruments. <b><i>Results:</i></b> Among 60 PSP patients, there was a significant correlation between total PSP-QoL and PSP Rating Scale scores. The physical and mentation subscales of each instrument also demonstrated significant correlations. Comparisons among PSP subtypes indicated that worsening PSP-QoL Total and Physical subscale scores correlated with worsening PSP Rating Scale gait subscale scores more strongly for the non-RS PSP variants than for PSP-RS. <b><i>Discussion:</i></b> There is a significant association between the total scores and many of the subscale scores of the PSP-QoL and the PSP Rating Scale. Additionally, the relationship between these measures may differ for PSP-RS and non-RS variants. These findings suggest that the PSP-QoL may be useful in clinical trials as a patient-reported outcome measure. Large prospective multicenter studies utilizing the PSP-QoL are necessary to examine its relationship to disease evolution and changes in the PSP Rating Scale.
DOI: 10.6084/m9.figshare.27916758.v1
title: Automotive-cyber-threat-intelligence-corpus

description: Cyber attacks pose significant threats to connected autonomous vehicles in intelligent transportation systems. Cyber threat intelligence (CTI), which involves collecting and analyzing cyber threat information, offers a promising approach to addressing emerging vehicle cyber threats and enabling proactive security defenses. Obtaining valuable information from enormous cybersecurity data using knowledge extraction technologies to achieve CTI modeling is an effective means to ensure automotive cybersecurity. However, the lack of a specialized cybersecurity dataset for automotive CTI mining has hindered progress in this field. To address this gap, we present a novel corpus specifically designed for vehicle cybersecurity knowledge mining. This dataset, annotated using a joint labeling strategy, comprises 908 real automotive cybersecurity reports, 8195 security entities and 4852 semantic relations. Additionally, we conduct a comprehensive analysis of CTI mining algorithms based on this corpus. Our work provides a valuable resource for enhancing CTI modeling and advancing automotive cybersecurity research.
DOI: 10.6084/m9.figshare.8679641.v1
title: Umbilical artery resitive index.xlsx

description: Umbilical artery resistive index in late pregnancy in foetuses from brachycephalic and non-brachycephalic bitchesin late pregnancy.
DOI: 10.17632/4ncmwf3mw6
title: raw image data for "Resilient anatomy and local microplasticity of naïve and stress hematopoiesis "_Figure 1-4_part 3

description: raw image data for "Resilient anatomy and local microplasticity of naïve and stress hematopoiesis "
DOI: 10.6084/m9.figshare.29145218.v1
title: 2022 Ageing-related grants dataset from the Vivensa Foundation 2025 report.xlsx

description: This dataset was used for the analysis of the ageing-related research UK funding based on the 2022 UK Health Research Analysis (HRA) dataset, made available in February 2024 (UK Clinical Research Collaboration, 2023).The original dataset was obtained from data taken from the UK Health Research Analysis 2022 (UK Clinical Research Collaboration, 2023).The dataset includes grants active in 2022 and it is structured according to the Health Research Classification System (HRCS), which categorises research based on two primary dimensions: Research Activity (RA) and Health Categories (HCs). The dataset is part of the "Ageing-related research in the UK: a landscape analysis" by the Vivensa Foundation (2025). Use of this dataset must acknowledge the Vivensa Foundation: data taken from "Ageing-related research in the UK: a landscape analysis (Vivensa Foundation, 2025)'. Any further analyses must be fully acknowledged and cited to the Vivensa Foundation and abide by the Vivensa Foundation conditions of use.
DOI: 10.17632/bzpzjn85pb
title: R code and sample data for the parallel implementation of the Kernel MNL model

description: This code allows parallel estimation and parallel prediction of kernel Multinomial Logit Model. In this code, we use a subset (5000 observations) of the data used in this paper.
DOI: 10.17632/pxjmyn68n7
title: Dataset on Mechanical Strength of Concrete Reinforced with Cotton Fabric and Nylon Fibres: Impact of Fibre End Configurations

description: The dataset presented is a comprehensive examination of fibre-reinforced concrete (FRC) properties, methodically designed to explore the intricate effect of fibre shape on the concrete performance apart from the other characteristics of the fibre. The dataset encompasses 37 distinct concrete specimens, including a single conventional concrete control sample and 36 fibre-reinforced variants.
The experimental design demonstrates a systematic approach to investigating concrete properties by strategically varying key parameters including fibre material (nylon and cotton thread), fibre shape (straight and novel double-headed configurations), fibre dosage (0.5%, 1.0%, and 1.5%), and aspect ratios (35, 55, and 75). Each specimen is assigned a unique identifier that encapsulates these critical characteristics, enabling precise tracking and analysis.
The dataset is organized into a detailed table featuring nine primary variables that document the comprehensive properties of each concrete sample. The naming convention employed allows researchers to immediately understand the specific composition of each specimen. For instance, a notation like SNF-0.5-35 precisely indicates a Straight Nylon Fibre specimen with 0.5% dosage and an aspect ratio of 35.
The experimental specimens are strategically categorized into four primary groups: Straight Nylon Fibre Reinforced Concrete (SNF), Double Headed Nylon Fibre Reinforced Concrete (DNF), Straight Cotton Thread Fibre Reinforced Concrete (SCF), and Double Headed Cotton Thread Fibre Reinforced Concrete (DCF). This methodical classification facilitates comparative analysis and allows researchers to isolate the effects of different fibre characteristics.
Mechanical properties were measured at the 28-day mark, focusing on compressive strength, split-tensile strength, and flexural strength. The dataset's structure enables multiple analytical approaches. Researchers can examine the influence of individual parameters such as fibre material, shape, dosage, or aspect ratio, or conduct comprehensive multi-variable analyses. The systematic variation of parameters across specimens provides a framework for understanding the complex interactions that influence concrete performance.
For potential users, this dataset offers a valuable resource for understanding fibre-reinforced concrete behaviour. It can support further research in materials science, civil engineering, and construction technology, providing empirical data for theoretical modelling, comparative studies, and advanced material development. The comprehensive nature of the data allows for investigations into the mechanical properties of fibre-reinforced concrete, presenting opportunities for both theoretical understanding and practical applications in construction and engineering fields.
DOI: 10.6084/m9.figshare.28349570.v1
title: stats.csv

description: The main objectives of our study are: to assess the potential of the CHIRPS rainfall product, characterize meteorological droughts during the growing season (March-May) from 1993 to 2022 and project the influence of climate scenarios on drought patterns in the future (2023-2052) in the lowlands of the East Bale Zone. The Standardized Precipitation Index (SPI) has been calculated through remote sensing (CHIRPS), Canadian Earth System model version5 (CanESM5) & National Center for Environmental Prediction Department of Energy Predictors. Furthermore, the monthly near-future rainfall was downscaled using a statistical downscaling model (SDSM4.2) under Shared Socio-economic Pathways (SSP2-4.5) and SSP5-8.5 scenarios and then rasterized by inverse distance weighted interpolation.
DOI: 10.6084/m9.figshare.1211874.v1
title: Description of analyses for the manuscript: Exposure to movie reckless driving in early adolescence predicts reckless, but not inattentive driving.

description: A complete detailed report on the factor analysis and Structural Equation models of the manuscript: Exposure to movie reckless driving in early adolescence predicts reckless, but not inattentive driving.
DOI: 10.6084/m9.figshare.12578705.v1
title: JVASP-64640 to JVASP-65370

description: JARVIS-DFT input/output files