cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/rzjfg7t9kf.1
title: A Multilabel Multiclass Sentiment and Emotion Dataset from Bangladeshi E-Commerce Reviews

description: This dataset provides a comprehensive view of the expanding online shopping landscape in Bangladesh, featuring customer reviews from popular e-commerce sites Daraz and Pickaboo. These reviews, a mix of Bengali and English text enriched with emojis, offer deep insights into customer sentiments towards widely favored products. The dataset undergoes thorough preprocessing and annotation for five emotions: Happiness, Sadness, Fear, Anger, and Love. These are further categorized into positive sentiments (Happy, Love) and negative sentiments (Sadness, Anger, Fear), facilitating a nuanced sentiment analysis. This dataset is a valuable asset for natural language processing research, offering a window into the diverse emotional responses of Bangladeshi online consumers and serving as a crucial tool for understanding sentiment in a multilingual, culturally rich market context
DOI: 10.17632/tgy3v7syct.1
title: Data for: Modelling and field testing of back-flow fracturing fluid after acid fracturing in Oil Shale reservoirs

description: In the field experiment site of the in-situ pyrolysis of oil shale, there are three wells. One well is used to inject high temperature and high-pressure nitrogen gas. The other one, named FK-2, is a well that is used to produce oil and gas products. The last well is a monitoring well named M1 for the real-time monitoring of the underground temperature and water inflow. According to the microseismic monitoring at the fracturing site, we have determined that the fracturing may have formed two fractures in the oil shale formation. Because the in situ pyrolysis process of oil shale requires nitrogen injection at a high temperature and pressure, we must monitor the connectivity between the two fractures. There is no need to use high temperature gas to determine the formation connectivity, so we only use high-pressure nitrogen gas. First, the backflow of the fracturing fluid is conducted. After the fracturing fluid backflow, we can determine the connectivity and water inflow of the formation. Based on the microseismic monitoring data, we built a three-dimensional model. The flow field of the high-pressure nitrogen injection into well FK-1 and the gas production from well FK-2 were simulated using the finite element software COMSOL Multiphysics 5.3. The results show that the outlet pressure at the FK-2 well can reach 2.8 MPa when well FK-1 is used as a high-pressure nitrogen injection well and gas is continuously injected at 8.5 MPa. Part of the fracturing fluid flows out of well FK-2, but some of fluid can flow into the formation. When high-pressure nitrogen is injected into the FK-2 well, the result is also the same. To verify the accuracy of the simulation results, experiments were carried out involving high-pressure nitrogen injection into well FK-1. The fracturing fluid volume was monitored while the fracturing fluid flowed back, and the pressure change in well FK-2 was monitored in real time. Finally, the pressure in well FK-2 could reach 2.8 MPa, which proved the connectivity between the two wells. It also confirmed the accuracy of the numerical simulation. In addition, we monitored the pressure changes in the FK-2 well by means of active pressure relief in FK-1 well. The results show that the pressure in the FK-2 well would also decrease, which once again confirms the connectivity status of the two wells.
DOI: 10.17632/6c28y4wc6s.1
title: The Coupling and Coordination Relationship between Leisure Tourism and Ecological Environment

description: The Coupling and Coordination Relationship between Leisure Tourism and Ecological Environment
DOI: 10.17632/vvdcjtkg8k.3
title: Three types of company and technology datasets towards a unified graph model

description: We collect three types of publicly available datasets. 1) Company Data: Initially, we collect data on promising small and medium-sized enterprises located in Gyeonggi Province from 2019 to 2021, sourced from the Gyeonggi Open Data Portal, "Gyeonggi Data Dream." 2) Technology Keyword Data: Utilizing prompt engineering with the ChatGPT service [3], we define a set of 14 initial technology keywords. Since it is insufficient to construct a graph with only 14 initial technology keywords, we extend the keywords using a patent database. We extract core technology keyword sets through query expansion using the previously defined initial technology keyword set. 3) Patent Data: We acquire patent disclosure and registration datasets from the Patent Office's KIPRIS PLUS patent information utilization service. Finally, to construct graph data, For a total of 47,385 patent data with 727 SMEs collected as applicants, the relationship between each company and the technology keywords included in the patent data is modeled as a heterogeneous graph. It consists of two types of nodes, Company and Technology, 727 and 1957 respectively, which define three types of edges. There are Use, which indicates that a particular company uses a particular technology, Share, which means that two company share common technology in their main products respectively, and Relate, which indicates that the two technologies are used in a common patent document. We generate graph data as data objects provided by the pytorch-geometric library. For the reconstruction of this data, we converted it into a form of a Pytorch Tensor and stored it as a pickle file. This can be reproduced by "torch.load('Graph.pt')" module. Note that the original datasets were written in Korean. We converted them to English for reference: (eng) init_keywords.txt, (eng) expanded_keywords.txt, (eng) company_data.csv, and (eng) patents.csv.
DOI: 10.17632/m4kz5ygxrn.1
title: FAMILY FINGERPRINT DATASET

description: A DATASET CONTAINING FINGERPRINT OF 100 FAMILY OF WEST BENGAL INDIA. THE DATASET CONTAINS FINGERPRINT IMAGE OF FIVE FINGER OF RIGHT HAND OF FATHER, MOTHER AND CHILD. THE DATASET CONTAINS TOTAL 1500 FINGERPRINT IMAGE IN PNG FORMAT. THE SIZE OF THE FINGERPRINT IMAGES ARE 512 x 512 PIXELS.
DOI: 10.17632/j2bhx8v2wh.1
title: War on Melanoma Primary Care Provider Data

description: Pre and post survey responses for Oregon primary care providers.
DOI: 10.17632/ryghfbpnd4.2
title: University students' perceptions about the Russia-Ukraine war. A global survey with Ecuadorian dataset.

description: The dataset contains 593 Ecuadorian university students' opinions about the possible scenarios and actions in the future due to the Russia -Ukraine war in 2022. The data collection tool is a Global online survey disseminated in Ecuador via social media inviting during one month to all Ecuadorian university students as voluntary participants. The survey of 34 items covers ten subjects: socio-demographic characteristics, general perception, economic circumstances, personal circumstances, military and other circumstances, actions and sanctions, response satisfaction, felt emotions, post-war era, and general reflections. The material should interest researchers in Education, Public Policies, and Psychology, among other areas. The original survey Student's perception on the Russia-Ukraine war 2022, and the frequency tables of economic topics analysis by socio-economic group are attached.
DOI: 10.17632/xnrfv9pgb5.1
title: DualSPHysics+: An enhanced DualSPHysics with improvements in accuracy, energy conservation and resolution of the continuity equation

description: This paper presents an enhanced version of the well-known SPH (Smoothed Particle Hydrodynamics) open-source code DualSPHysics for the simulation of free-surface fluid flows, leading to the DualSPHysics+ code. The enhancements are made through incorporation of several schemes with respect to stability, accuracy and energy/volume conservation issues in simulating incompressible free-surface fluid flows within the weakly compressible SPH formalism. The Optimized Particle Shifting (OPS) scheme is implemented to improve the accuracy of particle shifting vectors in the free-surface region. To mitigate energy dissipation and maintain consistency, the artificial viscosity in δ-SPH is substituted with a Riemann stabilization term, leading to the δR-SPH. The Velocity divergence Error Mitigating (VEM) and Volume Conservation Shifting (VCS) schemes are adopted in DualSPHysics+ to mitigate the velocity divergence error and improve the volume conservation, and hence to enhance the resolution of the continuity equation. To further reduce both the instantaneous and accumulated errors in velocity divergence, a Hyperbolic/Parabolic Divergence Cleaning (HPDC) scheme is incorporated in addition to the VEM scheme. The implementations of the introduced schemes on both CPU and GPU-based versions of the DualSPHysics+ code along with details on the compilation, running and computational performance are presented. Validations in terms of accuracy, energy conservation and convergence of DualSPHysics+ are shown via several relevant benchmarks. It is demonstrated that a better velocity divergence error cleaning in both instantaneous and accumulated errors can be achieved by the combination of VEM and HPDC. Meanwhile, the excessive energy dissipation by the artificial viscosity is shown to be suppressed by adopting the Riemann stabilization term. Enhanced resolution of the continuity equation along with improved energy conservation of DualSPHysics+ advance the SPH-based simulation of incompressible free-surface fluid flows.
DOI: 10.17632/7n36jtcpv3.2
title: Brazilian food images

description: This repository contains labeled images of 20 different classes of Brazilian foods. For each food class, a subset of images has been created. Each subset includes an image of a meal, typically containing multiple foods, and a corresponding segmentation mask for the specific food in the subset. These labeled images can be used for various computer vision tasks, such as object detection, segmentation, and classification. The dataset is particularly useful for research in the field of food recognition and analysis, as well as for developing applications that require knowledge of Brazilian cuisine.
DOI: 10.17632/bh6v8pcwmx.1
title: On-demand modulation of 3D printed elastomers using programmable droplet inclusions

description: Raw data in support of the article: Mea, H.J., Delgadillo, L., Wan, J., On-demand modulation of 3D printed elastomers using programmable droplet inclusions.
DOI: 10.17632/36x37gvx7z.3
title: Dataset of EFFECTIVENESS OF MINDFULNESS-BASED COGNITIVE THERAPY FOR CANCER (MBCT-Ca) TO REDUCE SYMPTOMS OF ANXIETY, DEPRESSION AND IMPROVE QUALITY OF LIFE of CERVICAL CANCER PATIENTS

description: The .pdf file comprises the data sheets and questionnaires utilised in the research. This dataset comprises personal identity and demographic forms, disease diagnosis forms, current treatment information, the HADS (Hospital Anxiety and Depression Scale) questionnaire, and the EORTC QLQ C30 (European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire C-30) questionnaire.
DOI: 10.17632/77s39tg76k.1
title: Data for: Impact of metabolically healthy obesity on carotid intima-media thickness - The Brazilian Longitudinal Study of Adult Health

description: Do-file (by STATA)
DOI: 10.17632/bvbgkkytdf.1
title: Responsible Gambling and Gambling Addiction 2024

description: About Me
Alyce, an adept leader in the realm of online gambling content management, boasts an impressive track record spanning over 11 years. With finesse, she navigates through the intricate layers of this dynamic industry. Hailing from the serene landscapes of western France, Alyce embarked on a transformative journey in Canada, where she flourished both academically and professionally. Graduating with a degree in Journalism from the esteemed University of Toronto, she honed her skills in writing and analysis, kickstarting her career in a local publication and as a private instructor. However, recognizing the evolving landscape, Alyce strategically shifted her focus from journalism to specialize in the realms of education and content creation.

About Responsible Gambling
Responsible gambling refers to a set of principles, practices, and measures aimed at minimizing the potential harms associated with gambling activities while promoting safe and enjoyable participation.

It involves awareness, prevention, player controls, support services, regulatory oversight, corporate social responsibility, research, and collaboration.
DOI: 10.17632/9n783y6zdc.2
title: Data on Cyberbullying Victimization, Depression, Anxiety and Stress

description: This dataset belongs to a sample of 561 university students from both public and private universities in Malaysia. This dataset consists of the demographic characteristics of the sample and the data on two main variables, cyberbullying victimisation and the negative emotional states. Cyberbullying victimisation consist of four sub-dimensions which are public humiliation, malice, unwanted contact and deception. The negative motional states consist of depression, anxiety and stress.
DOI: 10.17632/yj4wf4w4ym.1
title: Employee Capital Plans in Poland - questionnaire results

description: Data represent the results of a questionnaire realized in Poland in 2021 regarding Employee Capital Plans (Pracownicze Plany Kapitałowe - PPK). The survey was conducted using a Computer-Assisted Web Interview (CAWI) method and a questionnaire consisting of 28 questions. The analysis was realized as part of the research project entitled ‘Employee Capital Plans in Polish Public Universities’, launched in October 2020, a few months before the introduction of the PPK to budgetary units in Poland, including universities. Eight universities participated in this project, including four general universities and four economics universities. The questionnaires were sent via email. The 867 correctly completed questionnaires were divided into the following two categories: academic universities with a wide range of faculties and economics universities with scope-limited faculties and economic and financial profiles. The electronic version of the questionnaire was available online from May 18 to July 15, 2021. The relatively long period of questionnaire availability was due to the fact that the timing of PPK implementation differed according to university.
DOI: 10.17632/4m9k8xwbmt.1
title: Social Media Influencers: Exploring User Attitudes and Purchase Behavior

description: An online survey was conducted from January 8 to March 14, 2024, employing a questionnaire created with Google Forms to assess users' attitudes toward digital influencers and the impact of social media advertising on consumer buying behavior. The survey link was distributed via email and social media to partner organizations, resulting in 376 complete responses during the study period. Various classical and modern statistical methods were utilized to visualize and analyze the collected dataset. Participants evaluated their social media experience based on criteria such as convenience, interactivity, attractiveness, expertise, and trustworthiness. However, respondents' opinions suggest that there is no statistically significant effect of social media influencers on customer purchase intention.
DOI: 10.17632/d3by55pjh7.2
title: Bridge vibration monitoring dataset

description: Vibration tests were conducted on a steel truss bridge using five uniaxial accelerometers under various traffic conditions. The accelerometers used were uniaxial sensors that were connected to a data acquisition system, from which the data was transferred to a computer. Considering the flexibility of this bridge, a sampling frequency of 200Hz was used.
DOI: 10.17632/vxnyysk9vc.1
title: Type-2 Diabetes

description: This dataset comprises data collected from the Pabna Diabetes Hospital, Pabna, Bangladesh, as part of a study aimed at developing predictive models for accurately classifying diabetes patients using machine learning (ML) and deep learning (DL) techniques. The dataset is notable for its diverse demographic representation, making it valuable for training robust ML models.

Data Collection:
- Source: Pabna Diabetes Hospital, Pabna, Bangladesh.
- Method: Retrospective collection.
- Anonymization: All data underwent rigorous anonymization to ensure confidentiality and privacy.
- Informed Consent: Obtained from all participants following the ethical guidelines of the Pabna Diabetes Hospital (Ref No.: CERT/PADAS/PAB-64).

Dataset Composition:
 - Total Participants: 465 female patients aged 21 years or older.
 - Diabetic Patients: 373
 - Non-Diabetic Patients: 92
 - Patients with Serum Insulin Data: 131
 - Patients without Serum Insulin Data: 334
 - Patients with Genetic Predisposition: 293
 - Patients without Genetic Predisposition: 172

Variables:
- Number of pregnancies
- Age
- BMI (Body Mass Index)
- Systolic and Diastolic Blood Pressures
- Genetic Information
- Serum Insulin Levels
- Triceps Skinfold Thickness
- Plasma Glucose Concentration (after 2 hours in an oral glucose tolerance test)
- Diabetes Status (Diabetic or Non-Diabetic)

Research Implications:
The dataset supports the development and validation of ML and DL models for diabetes classification, leveraging local healthcare data to enhance model generalization across diverse populations.

Publication Reference:
M.S. Reza et al., "Heliyon," 10 (2024): e24536.
DOI: 10.17632/b5vdycf447.1
title: False Memories in Bilinguals: Integration of Information Across Languages and Limits on Proficiency Effects

description: Data set for submitted manuscript by Bianca V. Gurrola and Wendy S. Francis with the same title. A full description of the hypotheses, methodology, and results is given in the manuscript.

The Summary Data folders have the files from which data were copied into SPSS for analysis.
DOI: 10.17632/7pdftfr7yp.2
title: Data for "Robust nanocomposites of α-Fe2O3 and N-doped graphene oxide: Interfacial bonding and chemisorption of H2O"

description: Relaxed structures of GO with epoxy groups (GO.cif), graphitic nitrogen (GO-graphiticN.cif), and three pyridinic nitrogen surrounding a carbon vacancy (GO-pyridinicN.cif) from Figure 1 in the manuscript.

Relaxed structure of the α-Fe2O3 (0 0 0 1) (Fe2O3-0001.cif) from Figure 2 in the manuscript.

Relaxed structure of the Fe2O3-GO composite (Fe2O3-GO.cif), with graphitic N-doping (Fe2O3-GO-graphiticN.cif) and with pyridinic N-doping (Fe2O3-GO-pyridinicN.cif) from Figure 3 in the manuscript.

Relaxed structures of chemisorbed H2O on the composites with different hydroxide sites (ortho, meta, para) as noted in Table 3 in the manuscript for the different composites. The additional configurations shown in Figure 6 in the manuscript are denoted 2.
DOI: 10.17632/38tryttryj.1
title: Data for: Sovereign Default Resolution Through Maturity Extension

description: Fortran and MATLAB source code for replication of computational results. The readme.pdf file lists data sources for the figures and tables of Section 2.
DOI: 10.17632/gz39ggf35n.1
title: HoloSelecta Dataset (10'035 annotated images of packaged products with GTIN & nutrients)

description: This dataset contains 295 labelled images for computer vision based detection and identification of packaged products in a vending machine. In addition, the dataset contains data from a user study with 61 participants on the impact of mixed reality headset mediated interventions on food choices. The results indicate that the display of Nutri-Score during the product selection process can alter decisions towards healthier choices. References: - Fuchs K, Haldimann M, Grundmann T, Fleisch E. Supporting food choices in the Internet of People: Automatic detection of diet-related activities and display of real-time interventions via mixed reality headsets. Futur Gener Comput Syst 2020;113:343–62. https://doi.org/10.1016/j.future.2020.07.014. - Fuchs, K., Grundmann, T., Fleisch, E., Towards Identification of Packaged Products via Computer Vision, in The 9th International Conference on the Internet of Things (IoT 2019), Bilbao, Spain. - Fuchs, K., Grundmann, T., Haldimann, M., Fleisch, E., Impact of Mixed Reality Food Labels on Product Selection: Insights from a User Study using Headset-mediated Food Labels at a Vending Machine, in 5th International Workshop on Multimedia Assisted Dietary Management In conjunction with the 27th ACM International Conference on Multimedia (ACMMM2019). We keep a maintained record of labelled image datasets for packaged products in retail environments here: https://github.com/tobiagru/ObjectDetectionGroceryProducts/blob/master/README.md . If you know of relevant datasets that are missing there, please contact team@autoidlabs.ch or request an edit via the link. Please cite: - Fuchs K, Haldimann M, Grundmann T, Fleisch E. Supporting food choices in the Internet of People: Automatic detection of diet-related activities and display of real-time interventions via mixed reality headsets. Futur Gener Comput Syst 2020;113:343–62. https://doi.org/10.1016/j.future.2020.07.014.
DOI: 10.17632/wkbmk9x9xf.1
title: Data for: The Long-Term Determinants of Female HIV Infection in Africa: The Slave Trade, Polygyny, and Sexual Behavior

description: Data and do-files
DOI: 10.17632/s2w7rjwz49.2
title: CO2Wounds-V2: Extended Chronic Wounds Dataset From Leprosy Patients

description: This dataset comprises 607 labeled images (for training and validation) and 157 unlabeled images (for testing) of chronic wounds collected using traditional smartphone cameras by medical staff during daily sessions of wound treatment for leprosy patients in a hospital in Colombia. This dataset aims to help advance the development and evaluation of image segmentation models for chronic wounds.
DOI: 10.17632/w2k4358g62.1
title: Data for: Protocol for Tool Wear Measurement in Micro-milling

description: The data provided takes the form of tabulated tool wear data, considering tool wear over different parts of the tool: tool flank, rake face and outside edge. Data on cutting forces is also provided post-analysis, due to the extremely high volume of wear data. Analysis is a simple averaging process.
DOI: 10.17632/2rnnz5nz74.1
title: Data on OCT and Fundus Images

description: The dataset is comprised of 50 OCT and Fundus images which included health and glaucomatous images. Annotation of Cup to disc ratio (CDR) was performed by four ophthalmologist are provided in excel file.
DOI: 10.17632/cg4br62535.2
title: BEHACOM

description: This dataset contains the behavioural data of 12 different users freely utilising their personal computers. The data collection period is composed of 55 days of user interaction, each user having their own activity periods. Instructions: User behaviour is stored in csv comma separated format. Each user file is located in a different folder. To read each file, see scripts folder where there is a script for optimized csv file reading. Check readme file to see an explanation of each feature.
DOI: 10.17632/gbz22vb344.1
title: Rewiring of the fruit metabolome in tomato breeding. Guangtao Zhu et al

description: Table M1. The raw dataset of metabolites Table M2. Transcriptome related analyses Table M3. mGWAS singals for all the metabolites Table M4. The sweeps caused by domestication or improvement selections Table M5. Changed metabolites between groups and pools Table M6. Metabolites study for fw11.3 Table M7. Domestication analyses of SGAs Table M8. Metabolites and genes subjected to SlMYB12 Table M9. Changed metabolites between PIM and Tm-2a-free BIG as well two pools