cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/9rgjz4368f
title: Effectiveniness of core stability training in improving postural stability and foot pressure distribution in overweight childrenn

description: The current study includes the effectiveness of core-stability training in overweight children to improve the postural stability and foot-pressure distribution. There are two groups :Experimental(Intervention group) and Control(No intervention)l.The study objectives :To measure the postural stability and to determine the efficacy of core-stability training on static and dynamic balance and foot-pressure distribution in overweight children.
DOI: 10.17632/gpntjgpvdx
title: Journal of Islamic Education; No. 8

description: The main goal of the JIE is to publish the researches conducted in the field of religious and Islamic education, to provide scientific information on the latest scientific achievements, to provide a platform for the exchange of opinions and competing views of scholars and researchers in this field, to provide a platform for the production of educational science, circulating ideast, and theorizing in the field and ready creating a sustainable ground for the growth and development of the official education in Iran and Muslim societies in line with the Islamic education. The topics that are of interest to the journal are as follows:

The journal is set to publish original articles on a wide range of issues including;

 Philosophy of Islamic education;
 Schools and approaches to Islamic education;
 Educational jurisprudence (Fiqh);
 Foundations, principles and methodology of Islamic education;
 History of Islamic education;
 Educational thoughts, views and ideas of Muslim scholars;
 Educational sciences such as educational management, curriculum planning and educational psychology with an Islamic approach;
 Comparative studies;
 The areas and dimensions of education in Islam include religious education, devotional education, moral education, sexual education, political education, and so on;
 Methodology of research in Islamic education;
 Examining different aspects of formal education with Islamic perspective;
 Religious education in the thought of international scholars, a comparative approach to Islamic education.

JIE is an international, professional refereed journal in the interdisciplinary fields that relevant to Islamic education. JIE serves as a platform for presenting and discussing the emerging issues on Islamic education. The journal is committed in publishing high quality articles in persian and welcomes articles in English, ranging from original research papers in the area of Islamic education. This journal welcomes original and qualified researches on all aspects of Islamic education and religious education. The topics may include, but are not limited to: 
Philosophy of Islamic education, schools and approaches in Islamic education, educational Islamic jurisprudence, foundations, principles and methods of Islamic education, history of Islamic education, educational approaches and ideas of Muslim scholars, educational management, curriculum and educational planning, educational psychology with an Islamic perspective, comparative issues, areas and dimensions of education in Islam, religious education, devotional education, moral education, sexual education, political education, research methodology in Islamic education and examination of various aspects of formal education with an Islamic outlook.
DOI: 10.6084/m9.figshare.28269230.v1
title: Supplementary Material for: World Health Organization´s Well-Being Index - WHO-5: psychometric performance of the Portuguese version for adolescents

description: Introduction: The World Health Organization Well-Being Index (WHO-5) is a five-item scale designed to measure psychological well-being and is considered effective in detecting depressive symptoms. This scale was translated and validated in more than 30 languages and is used in clinical practice and research worldwide. In Portugal, validation of this scale has yet to be done. This study aims to analyse the psychometric performance of the WHO-5 scale in the setting of a Portuguese adolescent population. 
Methods: An observational cross-sectional survey-based study was carried out to assess the emotional state of adolescents resorting to the WHO-5 scale. A sample of 1916 elementary and secondary school students from grades 7-12 was used.
Results: The WHO-5 median score was 17 [14-20], and the best scores were found in males (p&lt;0,001), in those with no health issues (p&lt;0,001), those who slept well (p&lt;0,001), those who practised sports (p&lt;0,001) and those who had no difficulties making friends (p&lt;0,001). Results from the answers to the WHO-5 questionnaire showed good internal consistency with a Cronbach alpha value of 0,80, and a confirmatory factor analysis supported the unidimensional structure of the questionnaire, which was consistent with a valid scale for the study sample. 
Conclusion: This study showed that the Portuguese version of the WHO-5 is capable of assessing psychological well-being in adolescents. 
The WHO-5 is a simple and readily usable scale that can be applied in routine consultations for screening the emotional state of adolescents and early detection of signs of mental health problems.
DOI: 10.17632/dmhhfw2yzt
title: Data for: Ethical implications of alternative plant-based beef substitutes in the United States: a general equilibrium modelling study

description: Full analysis of these scenario results are available in Mason-D'Croz et al. (2022) published in The Lancet Planetary Health (2022, 6: e658-69).

Data Available for Download:
- Supplementary Data summarizing key model results
- ReadMe.docx - Explanation of scenario runs
- 8 zipped archives containing full scenario results from USAGE-Food, generated used GEMPACK.

Please cite both the Mendeley dataset and primary analysis:
Mason-D'Croz, Daniel; Barnhill, Anne; Bernstein, Justin; Bogard, Jessica; Dennis, Gabriel; Dixon, Peter; Fanzo, Jessica; Herrero, Mario; McLaren, Becky; Palmer, Jeda; Rieder, Travis; Rimmer, Maureen; Faden, Ruth (2022), “Ethical implications of alternative plant-based beef substitutes in the United States: a general equilibrium modelling study”, The Lancet Planetary Health, 6: e658-69.
Mason-D'Croz, Daniel; Barnhill, Anne; Bernstein, Justin; Bogard, Jessica; Dennis, Gabriel; Dixon, Peter; Fanzo, Jessica; Herrero, Mario; McLaren, Becky; Palmer, Jeda; Rieder, Travis; Rimmer, Maureen; Faden, Ruth (2022), “Data for: Ethical implications of alternative plant-based beef substitutes in the United States: a general equilibrium modelling study”, Mendeley Data, V1, doi: 10.17632/dmhhfw2yzt.1
DOI: 10.17632/yxjb58nwr3
title: Effect of ErbB2 expression on actin organization

description: Control CHO cells and CHO cells stably expressing human ErbB2 were transiently transfected with LifeAct-GFP, and GFP fluorescence was imaged with Airy-scanning.
DOI: 10.17632/5p26b3dmd9
title: Ecommerce_Consumer_Behavior_Analysis_Data

description: The sales data obtained from an Internet sales website platform in the UK was first uploaded to the platform in January 2025. Now I am uploading again, and this dataset has undergone preliminary data cleaning to facilitate data analysis operations
DOI: 10.17632/j7kh8x2mft
title: Data for: Parameter optimization for the nonlinear grey Bernoulli model and its application in predicting biomass energy consumption

description: 143 yearly time-series data under different scenarios, sizes, and backgrounds, are used to validate the effectiveness of prediction models. All of them are from the M4 Forecasting Competition dataset.
DOI: 10.6084/m9.figshare.17701145.v1
title: EEG Dataset for RSVP and P300 Speller Brain-Computer Interfaces

description: EEG dataset for subject 20
DOI: 10.17632/mc8t88b7p9
title: A Compact Surface EMG Dataset for Hand Gesture Recognition Utilizing a Minimal Channel Configuration on Forearm Muscles

description: The presented dataset includes electromyography (EMG) signals acquired by performing a set of gestures for the purpose of hand gesture recognition and human-computer interaction.

The data comprises 3-channel surface electromyography signals captured from 5 healthy participants while performing 14 different hand gestures; each gesture was performed 15 times per participant. The data collection process involved placing three sEMG sensors on three key forearm muscles; the raw 3.5s signals were acquired with a sampling rate of 1 kHz and stored in a .csv format, providing easy accessibility and visualization.

This dataset can be employed with artificial intelligence models in hand gesture classification, human-computer interaction (HCI), biomedical signal processing, and prosthetic hand control and rehabilitation, as well as validating machine learning models created with other datasets.
DOI: 10.17632/7xd83dhv4c
title: Data for: Phosphorus sorption and availability in an andosol after a decade of organic or mineral fertilizer applications: importance of pH and organic carbon modifications in soil as compared to phosphorus accumulation

description: Soil physical chemical properties, phosphorus availability (Pi-water and Pi-Olsen) and phosphorus sorption parameters after a decade of organic and mineral fertilizer application on an andosol.
DOI: 10.17632/svb8d9hmmd
title: LINF_140010900

description: Hypothetical protein - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.5061/dryad.16vm1
title: Data from: Gene flow and demographic history of leopards (Panthera pardus) in the central Indian highlands
DOI: 10.17632/d4dhg2sths
title: COSEν: A collective oscillation simulation engine for neutrinos

description: We introduce the implementation details of the simulation code COSEν, which numerically solves a set of non-linear partial differential equations that govern the dynamics of neutrino collective flavor conversions. We systematically provide the details of both finite difference method supported by Kreiss-Oliger dissipation and finite volume method with seventh order weighted essentially non-oscillatory scheme. To ensure the reliability of the code, we perform comparison of the simulation results with theoretically obtainable solutions. In order to understand and characterize the error accumulation behavior of the implementations when neutrino self-interactions are switched on, we also analyze the evolution of the deviation of the conserved quantities for different values of simulation parameters. We report the performance of our code with both CPUs and GPUs. The public version of the COSEν package is available at https://github.com/COSEnu/COSEnu.
DOI: 10.17632/ckkpwwydw8
title: Fact-Checked Facebook News Corpus from Bangladesh

description: This dataset is a meticulously curated collection of Bengali fact-checked fake news reports, assembled by the FactWatch team, a renowned IFCN signatory and Meta's third-party fact-checking partner in Bangladesh. Spanning from October 4, 2021, to May 25, 2023, it comprises 1014 comprehensive reports that encapsulate the rise of misinformation during the Covid-19 pandemic, particularly on Facebook. Each report in this dataset has been manually annotated by expert annotators from the FactWatch team. The annotations include detailed summaries, report categories, accurate veracity labels, examples of the original fake news content, and in-depth evaluations of the fact-checking process. This labor-intensive annotation process ensures high-quality, reliable data. The dataset stands as a critical resource for research in the domains of misinformation analysis, natural language processing, and automated fact-checking systems. It is particularly valuable for those focusing on the Bengali language and information ecosystem, providing a foundational dataset for further study and innovation in combating digital misinformation.
DOI: 10.17632/ffkgyd6jm7
title: Supplementary materials for the paper "Investigating the damage mechanisms in PA38-T6 (6060-T6) aluminum alloy under multiaxial fatigue loadings"

description: The dataset contains the high-resolution images of small cracks and fracture surfaces, and also animations presenting the small crack growth and coalescence process.
DOI: 10.17632/j4zssvyf98
title: Mechanistic Insights into GPCR-Gαβγ Complex Initiating Nucleotide Exchange

description: Raw data for Figure 1B
Raw data for Figures 2A-2G
Uncut Native-PAGE for Figure S2B
Uncut SDS-PAGE for FPLC fractions
DOI: 10.17632/kmxyfwj8g6
title: Phototherapy for cutaneous mastocytosis: A systematic review

description: Supplemental material for "Phototherapy for cutaneous mastocytosis: A systematic review"
DOI: 10.6084/m9.figshare.14184587.v2
title: The optimized atomic positions of the reaction intermediates and transition states

description: The optimized atomic positions of the reaction intermediates and transition states.
DOI: 10.17632/dvpwx4634t
title: Data from three experiments investigating reciprocal SNARC effects with vocal responses

description: This data set contains the raw data files from three experiments reported in: Richter, M. & Wühr, P. (2024). The reciprocity of spatial-numerical associations of vocal response codes depends on stimulus mode. Memory & Cognition (volume and pages yet unknown). Here is the abstract of the paper: Individuals make faster left responses to small/er numbers and faster right responses to large/r numbers than vice versa. This “spatial-numerical association of response codes” (SNARC) effect represents evidence for an overlap between the cognitive representations of number and space. Theories of the SNARC effect differ in whether they predict bidirectional S-R associations between number and space or not. We investigated the reciprocity of S-R priming effects between number and location in three experiments with vocal responses. In Experiments 1 and 2, participants completed a number-location task with digits as stimuli and location words as responses, and a location-number task with physical locations as stimuli and number words as responses. In addition, we varied the S-R mapping in each task. Results revealed a strong SNARC effect in the number-location task, but no reciprocal SNARC effect in the location-number task. In Experiment 3, we replaced physical location stimuli by location words and digit stimuli by number words. Results revealed a regular and a reciprocal SNARC effect of similar size. Reciprocal SNARC effects thus seem to emerge with verbal location stimuli and vocal responses, but not with physical location stimuli and vocal responses. The S-R associations underlying the SNARC effect for vocal responses thus appear bidirectional and symmetrical for some combinations of stimulus and response sets, but not for others. This has implications for theoretical accounts of the SNARC effect which need to explain how stimulus mode affects the emergence of reciprocal but not regular SNARC effects.
DOI: 10.17632/t9kp3ntg8n
title: Nascent RNA profiling reveals regulation of gene transcription through productive reiterative initiation in bacteria

description: This dataset is related to the manuscript: Nascent RNA profiling reveals regulation of gene transcription through productive reiterative initiation in bacteria (2025).

These are the source data used to generate all figures and uncropped gel images of in vitro transcription experiment and transmission electron microscopy.
DOI: 10.21233/5e7q-4f76
title: SOK-K18C pollen surface sample dataset

description: Raw data for the SOK-K18C pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.6084/m9.figshare.17074247.v1
title: Adsorption experiments data of crystal violet on silica xerogel

description: Adsorption experiments data of crystal violet on silica xerogel synthesized from corn husk via the sol-gel method<br>
DOI: 10.17632/sh37gpcshg
title: Grapevine Roditis leaf discoloration-associated virus and its phytosanitary status for the Russian Federation

description: One of the new dangerous viruses that pose a threat to viticulture and are not included in the EAEU quarantine list is Grapevine Roditis leaf discoloration-associated virus (GRLDaV). Pest risk analysis, was done for GRLDaV for the Russian Federation in 2020
DOI: 10.17632/hvjscd8dj9
title: Progesterone Role

description: Progesterone Role
DOI: 10.17632/mghw6xjgh7
title: Images and videos_Experiment_% plastics waste in municipal mixed solid waste in the Municipality of Aalborg

description: These images were taken as part of the sample collection, preparation and critical observations for an experiment with municipal mixed solid waste in the Municipality of Aalborg
DOI: 10.17632/dr46b7bw3s
title: eSports Cyber Legacy (Russia)

description: Опрос среди респондентов российской ЦА, а также аудиторией бренда Cyber Legacy
DOI: 10.17632/6b4h27t3bj
title: AutoNaVIT : Vision-Based Path and Obstacle Segmentation Dataset for Autonomous Driving - JSON Compatible

description: AutoNaVIT is a curated segmentation label dataset developed to support research in autonomous navigation, scene understanding, and deep learning-based object segmentation. This release contains only the annotation labels corresponding to high-resolution frames extracted from a recorded driving sequence at Vellore Institute of Technology – Chennai Campus (VIT-C). The corresponding images will be released in Version 2 of the dataset shortly.

The dataset offers manually annotated, pixel-accurate segmentation masks for three key classes relevant to autonomous vehicle navigation:

Kerb – 1,377 instances

Obstacle – 258 instances

Path – 532 instances

All annotations were generated using Roboflow, ensuring high fidelity and consistency for real-world autonomous driving applications in urban and semi-urban environments.

Data Capture Specifications:

Source imagery was recorded using a Sony IMX890 sensor with the following specifications:

Sensor Size: 1/1.56", 50 MP

Lens: 6P, ƒ/1.8, 24mm equivalent, 1.0 µm pixels

Features: OIS, PDAF autofocus

Duration: 4 min 11 sec video

Frame Rate: 2 FPS

Total Annotated Frames: 504

Format Compatibility and Model Support:

AutoNaVIT annotations are provided in standard JSON format, enabling direct compatibility with the following 7 models:

Florence-2 OD

Paligemma

COCO

COCO – Segmentation

CreateML

COCO – MMDetection

SAM2

As the format adheres to common JSON standards, the labels can be easily adapted for use with other models or frameworks that support JSON-based annotations.

Benchmark Results:

To validate the dataset’s effectiveness, a YOLOv8-based segmentation model was trained using the full dataset (images + annotations). The model achieved:

Mean Average Precision (mAP): 96.5%

Precision: 92.2%

Recall: 94.4%

These results demonstrate the dataset’s reliability for training and evaluating segmentation models in autonomous vehicle systems.

Disclaimer and Attribution Requirement:
By accessing or using this dataset, users agree to the following terms under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0):

Usage is permitted only for non-commercial academic and research purposes.

Proper attribution must state:
“Dataset courtesy of Vellore Institute of Technology – Chennai Campus.”
This must be included in all publications, presentations, or other dissemination formats.

Redistribution, commercial use, modification, or public hosting of the dataset in any form is prohibited without explicit written permission from VIT-C.

Use of this dataset implies acceptance of these terms. All rights not expressly granted are reserved by VIT-C.
DOI: 10.17632/nmfsh6ygtk
title: Problem instances for scheduling unrelated parallel batch machines with family setups

description: The dataset comprises a set of benchmark instances categorized based on problem size and number of incompatible families. 

INSTANCE SET: 

The instances are grouped into three categories (C1, C2, and C3).

-&gt; C1 and C2 (S1): Represent small-to-medium sized instances.
-&gt; C3 (S2): Represents large-sized instances.

PROBLEM CHARACTERISTICS

Each instance is defined by the following characteristics:

-&gt; Number of machines (m): C1: {2}, C2: {2, 4, 6}, C3: {8, 10, 12}
-&gt; Number of jobs (n): C1: {10}, C2: {20, 40, 60}, C3: {100, 200, 400}
-&gt; Number of incompatible job families (f): C1, C2, C3: {2, 4, 6}

Jobs, setups, and machines configurations:

-&gt; C1, C2: U[1, 25] (uniform distribution between 1 and 25)
-&gt; C3: U[1, 25] OR U[13, 38] (depending on instance configuration)
-&gt; Setup severity factor (η): C1, C2: 0.25, C3: 0.25 OR 0.75 (depending on instance configuration)
-&gt; Machine capacity (v_max): 50 (constant across all instances)
-&gt; Instances per configuration: 10 (10 instances for each combination of problem characteristics)

FILE NAMING CONVENTION

The dataset utilizes a standardized file naming convention for easy identification:

-&gt; RTN (authors' names): Refers to the authors of this research.
-&gt; S1 (instance set): Indicates the instance set (S1 or S2).
-&gt; m-x (number of machines): Denotes the number of machines (e.g., m-2 for 2 machines).
-&gt; n-y (number of jobs): Indicates the number of jobs (e.g., n-20 for 20 jobs).
-&gt; f-z (number of families): Represents the number of incompatible job families (e.g., f-2 for 2 families).
-&gt; sz-w (job size case): Identifies the job size distribution (e.g., sz-1 for U[1, 25]).
-&gt; sds-v (setup time case): Indicates the setup severity factor (e.g., sds-1 for η = 0.25).
-&gt; k-u (instance ID): Represents the unique identifier for each instance within a configuration (k ranges from 1 to 10).

EXAMPLE 

RTN-S1-m-2-n-20-f-2-sz-1-sds-1-k-1.txt refers to the first instance (k-1) in category S1 with the following characteristics:

-&gt; 2 machines (m-2)
-&gt; 20 jobs (n-20)
-&gt; 2 incompatible families (f-2)
-&gt; Job size distribution U[1, 25] (sz-1)
-&gt; Setup severity factor η = 0.25 (sds-1)

SUPPORT FILES: 

-&gt; MILP (Exact solutions of category C1) 
-&gt; MTTT (Data for time-to-target analysis) 
-&gt; Training instances (Set of solutions used for parameter tuning)
-&gt; Best solutions of each instance
-&gt; Readme.txt (Instructions for reading the instances)
DOI: 10.17632/4f6w78v3xw
title: A code to evaluate modified bessel functions based on thecontinued fraction method

description: Abstract We present an algorithm to evaluate the modified Bessel functions I_vand K_vof integral and half-integral order based on the calculation of the continued fraction for the I′_v s, the Wronskian and the application of forward recurrence relations for the K'vs and backward recurrence for the I′_v s. The main feature of the algorithm is that it does not require recalculations using normalization relations nor trial values to start the recurrences; the code evaluates in each step (already norm... Title of program: BESSIMIN, BESSIMSE Catalogue Id: ADGM_v1_0 Nature of problem We include two codes in order to evaluate: (1) Modified Spherical Bessel function (subroutine BESSIMSE) (2) Modified Bessel functions of integral order (subroutine BESSIMIN). Both codes evaluate Modified Bessel functions from the lower (positive) orders to a maximum order NMAX in the same run. Versions of this program held in the CPC repository in Mendeley Data ADGM_v1_0; BESSIMIN, BESSIMSE; 10.1016/S0010-4655(97)00069-6 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/myym96xcdy
title: Accelerating global mountain forest loss threatens biodiversity hotspots

description: This includes the raw data (Global Forest Change data, mountain-extent polygons, and range-size rarity and species richness rasters) used in the study.
DOI: 10.17632/8h2fnxxzps
title: Inclusive US firms

description: The file contains the data used for the binary logistic regression.