cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/92ncbyx5h9
title: Data for: Micellar enhanced ultrafiltration (MEUF) of mercury-contaminated wastewater: Experimental and artificial neural network modeling

description: Micellar enhanced ultrafiltration (MEUF) of mercury-contaminated wastewater: Experimental and artificial neural network modeling MEUF was applied efficiently to remove mercury (Hg) from simulated wastewater by using polyacrylonitrile membrane and sodium dodecyl sulfate (SDS) as surfactant. In this process leakage of surfactant monomer to permeate water causing a secondary pollution that was addressed by using MEUF followed by activated carbon fiber (MEUF-ACF) process. The effect of operating parameters including, concentration of Hg and pH of feed solution, molar ratio of SDS to Hg, and retentate pressure was explored to optimize MEUF process. Moreover, artificial neural network (ANN) model was proposed to predict Hg removal efficiency to optimize MEUF process without laborious and time-consuming experimental work. ANN model performance was evaluated on the basis of statistical values such as mean square error (MSE) and coefficient of determination (R2). The experimental results presented that optimum operating parameters were 10ppm of Hg concentration, pH 7.0, molar ratio of SDS to Hg 8:1 and retentate pressure was 1.5bar. MEUF results showed 95.75% and 50.91% removal of Hg and SDS, respectively, while 96.83% Hg and 97.15% of SDS rejection was achieved using MEUF-ACF. The statistical values of proposed ANN model presented high degree of agreement between experimental and predicted values (R2 was found greater than 95% for training, validation and testing dataset). MEUF-ACF can eradicate issue of secondary pollution and proposed ANN model can be a competitive, powerful and fast alternate to laborious experimental work for MEUF process optimization.
DOI: 10.17632/n85f462767
title: Maternal healthcare quality

description: The collected data encompassed socioeconomic characteristics, prenatal care service quality, and maternal satisfaction with hospital care services. This study aimed to evaluate the quality of prenatal care and maternal satisfaction with hospital services among mothers of children under six months old in Qazvin Province, Iran. The findings can inform health administrators and policymakers in designing targeted interventions to enhance maternal care quality from pregnancy through childbirth. Furthermore, the results provide valuable insights for healthcare professionals—including health management researchers, hospital specialists, obstetricians, and health/hospital administrators—to improve service delivery during pregnancy and delivery. A key strength of this study lies in its integration of data from both the health sector (prenatal care) and the treatment sector (hospital childbirth). Using a multistage cluster sampling approach, twelve trained research assistants collected data from 843 mothers of infants aged under 6 months in Qazvin Province between July and September 2024. All participants completed the study questionnaires via self-administered online surveys.
DOI: 10.6084/m9.figshare.21516480.v1
title: MPA

description: Background: In the information era, mobile phone addiction has attracted more and more researches' attention. In order to improve mobile phone addiction, the current study explored its influencing factors, especially the relationship between alexithymia, boredom proneness, anxiety and mobile phone addiction among Chinese college students; (2) Methods: A total of 354 Chinese college students (female: 49.7%; mean age: M =19.30±1.28 years old) completed the Toronto Alexithymia Scale, the Boredom Proneness Scale-Short Form, the Symptom Check List 90, and the Mobile Phone Addiction Index; (3) Results: Regression analysis showed that alexithymia was positively and significantly predicted mobile phone addiction. Multiple mediation modeling demonstrated that alexithymia could indirectly affect mobile phone addiction through boredom proneness and anxiety; (4) Conclusions: The findings of the present study suggests that alexithymia can predict mobile phone addiction directly and indirectly through boredom proneness and anxiety. The current study contributes to understand college students' mobile phone addiction more comprehensively and profoundly, as well as to the formulate intervention measures to improve college students' mobile phone addiction.
DOI: 10.6084/m9.figshare.25902535.v1
title: Downscaled TRMM satellite precipitation data from 2001 to 2019 in the Sichuan Province, China

description: Spatial downscaling is an effective way to improve the spatial resolution of precipitation products. However, the existing methods often fail to adequately consider the spatial heterogeneity and complex nonlinearity between precipitation and surface parameters, resulting in poor downscaling performance and inaccurate expression of regional details. In this study, we propose a precipitation downscaling model based on Geographically Weighted Neural Network Regression (GNNWR), which integrates Normalized Difference Vegetation Index, Digital Elevation Model, Land Surface Temperature, and slope data to address spatial heterogeneity and complex nonlinearity. We explore the spatiotemporal trends of precipitation in the Sichuan region over the past two decades. The results show that the GNNWR model outperforms common methods in downscaling precipitation for the four distinct seasons, achieving a maximum R² of 0.972 and a minimum RMSE of 3.551 mm. Overall, precipitation in Sichuan Province exhibits a significant increasing trend from 2001 to 2019, with a spatial distribution pattern of low in the northwest and high in the southeast. The GNNWR downscaled results exhibit the strongest correlation with observed data and provide a more accurate representation of precipitation spatial patterns.
DOI: 10.6084/m9.figshare.27075484.v1
title: Effects of Auditory-Vocal Fusion Embodiment Training

description: PRE TEST AND POST TEST
DOI: 10.6084/m9.figshare.27316179.v1
title: Paired On-site and Estimated Wet Bulb Globe Temperatures (WBGT) at U.S. High Schools.

description: The dataset contains paired wet bulb globe temperature (WBGT) measurements collected on-site and with a smartphone application. The data were collected from 26 high schools in 11 states between August 1 and September 30, 2023.
DOI: 10.6084/m9.figshare.28925171.v1
title: Groups.zip

description: This folder contains the images of a design of mathematical activities that were used with students in the third grade of middle school.
DOI: 10.17632/939s8crc2z
title: Rodent diversity and detection of Yersinia pestis in rodents. [Dataset 1. KaratuTz]

description: These rodent data were collected from Karatu district Tanzania for the purpose of assessing factors that may influence plague disease in plague foci villages and non-plague foci villages within the district. Rodents were captured with Sherman live animal traps and anaesthetized for collection of blood sample that were used to make blood smear on a glass slide for the purpose of observation of Yersinia pestis under compound light microscope and then were identified using a guide book for rodent identification. The euthanized rodent were then dissected and organs such as lungs and spleen were taken for confirmation of (pla) gene of Y.pestis DNA under qPCR technic following the results from the microscopic observation of stained blood smear
DOI: 10.17632/p4fhnnbp6x
title: Expert-Reviewed Digital Game Addiction Dataset (Balanced & Validated)

description: Expert-Reviewed Digital Game Addiction Dataset (Balanced & Validated). 
The dataset was re-formed.
DOI: 10.17632/k4cbg4fz6t
title: Survey dataset on student perceptions and experiences of quality assurance in Vietnamese universities

description: This dataset is from a survey of student perceptions and experiences of quality assurance in Vietnamese higher education institutions. Data were collected from July to September 2020 using the online survey via Google Forms. The survey was sent to students via their email and social media, and there were 1323 valid responses. The data collection instrument was developed based on an international survey administered by UNESCO. The survey was designed to elicit data with respect to students’ views on institutional quality policy and model, quality assurance procedures and tools, and student survey. The dataset serves as an insightful reference for institutional practitioners and policymakers in quality assurance to revise internal quality assurance policies and instruments to enhance the quality of teaching and learning. Moreover, the dataset could be of interest to other educational researchers who can use it to investigate students’ understanding and viewpoints on quality assurance.
DOI: 10.17632/nhw8ztfb63
title: Bangla GHQ-12 validation

description: The Bangla-translated 12-item General Health Questionnaire (GHQ-12) has been used to assess mental health issues among Bangladeshi nationals without being appropriately validated. Hence, we examined the item quality of this questionnaire, its latent structure, and measurement invariance across gender and psychiatric sub-groups. A community sample of 788 adults (249 females) aged between 18 and 69 years completed the questionnaire.
DOI: 10.17632/r76v5sjyv2
title: Semantic Role Labeling Datasets for Crisis Event

description: This dataset is a collection of Indonesian language text data extracted from Twitter and designed to support research in Semantic Role Labeling (SRL) and Named Entity Recognition (NER) tasks. This dataset offers a combination of argument labels for SRL and entity labels for NER, which are very important in information extraction. Through SRL, the dataset can identify semantic roles, such as who the victim is, where the location is, what the cause is, and how the impact of the crisis event is. Meanwhile, NER can recognize entities such as the name of a place or organization involved.

The data was collected using the Twitter API with relevant keywords from January 2018 to December 2023, covering four major crisis events in Indonesia: fires, accidents, floods, and earthquakes. Two experienced annotators carried out the annotation process—a disaster management expert and a doctoral student in computer science. The level of agreement between annotators was measured using Fleiss' Kappa, with results above 0.80 for all labels, indicating high data quality and consistency in labeling.
DOI: 10.6084/m9.figshare.22232143.v1
title: Scripts for setting up VM and AFL for fuzzing compilers

description: V1.0 of the set of scripts
DOI: 10.6084/m9.figshare.27899685.v1
title: <b>Experimental Stimulus Materials and Questionnaire on the Impact of Destination Brand Biography on Tourist Forgiveness</b>

description: This study explores how destination brand biographies influence tourist forgiveness in crisis contexts, drawing on CAPS and SCCT theories. Through four experiments, it reveals the distinct effects of <i>top dog</i> and <i>underdog</i> narratives, highlights the moderating roles of decision-making styles and crisis types, and uncovers emotional and cognitive mechanisms underlying brand recovery.
DOI: 10.17632/2p5cyjwmrx
title: Bangladesh Online Food Portals Customer Reviews Dataset

description: The dataset is a collection of customer reviews on a food delivery website for Bangladesh named 'Foodpanda'. The dataset includes 43,000 reviews. The reviewer's name, rating, and corresponding city are also included for each review. The dataset is useful for analyzing customer satisfaction and preferences as well as identifying areas for improvement in the food delivery service. The data is structured in a way that makes it easy to filter and search for specific reviews, and it can be used to generate insights and make data-driven decisions for the food delivery website.
DOI: 10.17632/79sz6s8v6d
title: Currency Returns and FX Dealer Balance Sheets

description: The R-file main.R contains the code and brief descriptions for replicating the results represented in the tables in the text as well as the appendix. Please adjust directories. The code in the 'main.R' file accesses auxiliary functions summarized in the file ‘Functions.R’. The necessary data is included in ‘Returns84.csv’, ‘Returns96.csv’, ‘BilateralReturns.csv’, and ‘HKMportfoliosQ.csv’
DOI: 10.17632/schkrz6552
title: Evaluation of lower limb flexibility among college students

description: Lower limb flexibility is essential for optimal performance in various physical activities and sports, as well as for preventing injuries. Assessing the flexibility levels among college students can provide valuable insights into their physical fitness and potential risk factors for musculoskeletal issues. This study aimed to evaluate the lower limb flexibility among college students using standardized flexibility tests. The objectives were to determine the average flexibility levels among college students, identify any significant differences based on gender or physical activity levels, and assess the correlation between flexibility and overall physical fitness.
A cross-sectional study was conducted among 112 college students aged 20-25 years. Lower limb flexibility was assessed using well-established tests such as the straight leg raise test, hip flexion and extension, knee flexion and extension. Participants also completed a questionnaire regarding their demographic information.
The study found that the average lower limb flexibility among college students was within the normal range, with variations observed based on gender. Male students exhibited higher flexibility levels compared to females, and those engaged in regular physical activity demonstrated greater flexibility. 
The findings highlight the importance of incorporating flexibility training into college physical education programs to enhance students' overall physical fitness and reduce the risk of injuries. Gender differences in flexibility underscore the need for tailored exercise interventions to address specific needs. Furthermore, promoting regular physical activity among college students can contribute to maintaining and improving lower limb flexibility.
This study provides valuable insights into the lower limb flexibility levels among college students and emphasizes the significance of promoting flexibility training and regular physical activity to enhance overall health and reduce injury risks. Future research should explore longitudinal studies to assess the effectiveness of flexibility interventions over time.
DOI: 10.17632/crmm6ccgy4
title: Substrate recognition and auto-inhibition in the central ribonuclease RNase E. Bandyra et al.

description: Images of electrophoretic gels collected under denaturing conditions for RNA degradation assays recorded with GeneSnap from Syngene. The gels were stained with SybrGold and visualised by uv fluorescence. Figure 1D shows 9S processing by RNase E 1-529 wild type and mutants. Figure 1E shows ompD degradation in the presence of 12-mer MicC for RNase E 1-529 wild type and mutants. Figure 2D shows 9S processing by RNase E 1-529 wild type and super-activating triple mutant. Figure 3a, b and c show ompD 50-mer processing in the absence and presence of 12-mer MicC by RNase E 1-529 wild type. Figure 5B shows 9S processing by RNase E 1-529 wild type and 8x mutant on the duplex recognition surface. Figure 5C shows artificial substrate 62-mer with 2 stem loops degradation by RNase E 1-529 wild type and 8x mutant on the duplex recognition surface. Supplementary Figure 3A shows 9S processing by full degradosome and truncated degradosome (RNase E 1-850, helicase and enolase). Supplementary Figure 3B shows degradation of the artificial 62-mer with the 2 stem loops by truncated degradosome (RNase E 1-850, helicase and enolase). Supplementary Figure 3C shows degradation of the artificial 62-mer with the 2 stem loops by full degradosome.
DOI: 10.17632/gj8d88h2g3
title: Multi-language Video Subtitle Dataset

description: The video subtitle images were collected from 24 videos shared on Facebook and Youtube. The subtitle text included Thai and English languages, including Thai characters, Roman characters, Thai numerals, Arabic numerals, and special characters with 157 characters in total.

In the data-preprocessing step, we converted all 24 videos to images and obtained 2,700 images with subtitle text. The size of the subtitle text image was 1280x720 pixels and it was stored in JPG format. Further, we generated the ground truth from 4,224 subtitle images using the labelImg program. Also, the labels were then assigned to each subtitle image. Note that the number before the label is the order of the subtitle text image.
DOI: 10.17632/mnkttmxg2m
title: Data for: Fabrication of Lu2Ti2O7-Lu3NbO7 solid solution transparent ceramics by spark plasma sintering and their electrical conductivities

description: Original data
DOI: 10.6084/m9.figshare.13292660.v1
title: A new hybrid ensemble model with voting-based outlier detection and balanced sampling for credit scoring

description: The raw data are divided into five parts: the Australian credit dataset (Australian.csv), the German credit dataset (GermanData.csv), the Japanese credit dataset (JapanData.csv), the Taiwan credit dataset (TaiwanData.csv), and the Creator credit dataset (Creator.csv).
DOI: 10.17632/cvf924fz3p
title: PNN unit analysis

description: - APNU 1.1 and 2.0 Fiji scripts and Licences
- pdf files with a EJN paper to be cited using APNU 1.1 and a Cells paper to be cited using APNU 2.0
- Two raw images of PNNs in control and ketamine-treated rats (any can be selected after running the Fiji script, zoomed, and used for selection of PNN units)
- Traced PNN units in control and ketamine-treated rats (can be opened in Fiji)
- Exel file with all measured PNN units (group 1 is control, group 2 is Ketamine), all cells, all animals, all analyses
DOI: 10.17632/f4fj887y67
title: Technology performance time-series and patent sets for 30 technology domains and measurements of patent centrality for 5.259.906 US patents

description: This dataset accompanies the study presented in G. Triulzi, J. Alstott, C.L. Magee, "Estimating Technology Performance Improvement Rates by Mining Patent Data", published on Technological Forecasting and Social Change, https://doi.org/10.1016/j.techfore.2020.120100. The content of the data files as well as the methods used to create them are described in the article G. Triulzi, C.L. Magee, "Functional performance improvement data and patent sets for 30 technology domains with measurements of patent centrality and estimations of the improvement rate", published on Data in Brief, https://doi.org/10.1016/j.dib.2020.106257. If you use the data, please cite both papers and this Mendeley Data repository. Python code to process and analyze this data is available at https://github.com/GiorgioTriulzi/TechnologyPerformanceImprovementEstimates
DOI: 10.17632/w65pvb84dg
title: Video Dataset of Sheep Activity (Standing and Walking)

description: A primary dataset capturing five distinct types of sheep activities in realistic settings has been constructed at various resolutions and viewing angles, targeting the expansion of the domain knowledge for non-contact virtual fencing approaches. The present dataset can be used to develop non-invasive approaches for sheep activity detection, which can be proven useful for farming activities including, but not limited to: (i) sheep counting, (ii) virtual fencing, (iii) behavior detection for health status, and (v) effective sheep breeding. Sheep activity classes include grazing, running, sitting, standing, and walking. The activities of individuals, as well as herds of sheep, were recorded at different resolutions and angles to provide a dataset of diverse characteristics. Overall, a total of 149,327 frames from 417 videos (the equivalent of 59 minutes of footage) are presented with a balanced set for each activity class, which can be utilized for robust non-invasive detection models based on computer vision techniques. Despite a decent existence of noise within the original data (e.g., segments with no sheep present, multiple sheep in single frames, multiple activities by one or more sheep in single as well as multiple frames, segments with sheep alongside other non-sheep objects), we provide original videos and the extracted frames (with videos and frames containing humans omitted for privacy reasons). The present dataset includes diverse sheep activity characteristics and can be useful for robust detection and recognition models, as well as advanced activity detection models as a function of time for the applications. Note: We separated three additional classes of the same dataset into a separate Mendeley dataset since the size of the video set was above the allowed limit by Mendeley Data Repository. Those three additional classes are uploaded in a separate dataset which can be accessed via (Reference below with DOI: 10.17632/h5ppwx6fn4.1). Three classes from the DOI (provided below) can be copied into this main folder in order to have the complete dataset with 5 distinct classes. Khan, Bilal; Kelly, Nathan (2023), “Video Dataset of Sheep Activity (Grazing, Running, Sitting)”, Mendeley Data, V1, doi: 10.17632/h5ppwx6fn4.1
DOI: 10.6084/m9.figshare.26506867.v1
title: New Insights and constraints on the magnitude of the Carbon Isotope Excursion across the Paleocene Eocene Thermal Maximum

description: It is about PETM CIE.
DOI: 10.6084/m9.figshare.7186460.v1
title: Interculturality, Internationalization and Intercomprehension: What Is The Relation?

description: Abstract: This paper paper reviews the concepts of interculturality and internationalization of higher education, discussing the relationship between them and additional languages, drawing on some considerations on the use of an approach for the teaching-learning-use of additional languages, known as the intercomprehension approach. The review offered here concludes that interculturality, internationalization and intercomprehension are related insomuch as the intercomprehension approach and interculturality can help to mitigate negative effects of internationalization, such as the strengthening of the hegemony of English as the academic lingua franca.
DOI: 10.17632/t3msbvj89t
title: TWO-WAY ANOVA DATA FOR TEN PATTERN AMONG 11 DATASETS

description: Two way ANOVA hypothesis reject TRUE/FALSE among 11 datasets related to ten patterns respectively
DOI: 10.25446/oxford.28091270.v1
title: Enggano Flora and Fauna Lexicon

description: If you use the data from this repository, please cite it as follows (if in <i>DataCite</i> style):Wijaya, Dendi; Rajeg, Gede Primahadi Wijaya; Sangian, Engga Zakaria (2024). Enggano Flora and Fauna Lexicon. University of Oxford. Dataset. https://doi.org/10.25446/oxford.28091270.A repository of raw datasets of the Enggano flora and fauna lexicon as part of the AHRC-funded research titled <i>Lexical Resources for Enggano, A Threatened Language of Indonesia</i> (AH/W007290/1).See the release notes for further detail on GitHub and Zenodo.We acknolwedge the crucial contribution of our collaborator informants for their knowledge in the creation of this flora and fauna dataset:Milson KaitoraJohansen KaharubiIshar Timius KaitoraSuhaidi Kaharubi
DOI: 10.6084/m9.figshare.27314997.v1
title: raw data

description: The complete raw data for all graphs in my submission.
DOI: 10.6084/m9.figshare.6066587.v1
title: Edge information of Chilean power grid with tap

description: Edge data of Chilean power grid 'with tap' version. Edge lists are recorded with ID of nodes. It also includes the length, capacity information. Please, see the corresponding node file to see the detail informaion of the nodes.