cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/7tmdmg776y.1
title: PREVALENCE OF DISTURBANCE OF BODY IMAGE PERCEPTION AND ENGAGEMENT IN RISKY BEHAVIORS FOR EATING DISORDERS MOTIVATED BY THE KOREAN WAVE

description: The aim of this study is to describe the prevalence of disturbance of body image perception and engagement in risky behaviors for eating disorders among Spanish-speaking fans residing in Western countries, motivated by the Korean wave. A quantitative methodology was employed for data collection. The data were collected online through an anonymous questionnaire created by the author on the Google Forms platform, comprising demographic questions, information about exposure to hallyu, body perception, body image perception disturbance and engagement in risky behaviors motivated by the Korean wave. To assess body image perception, the standard figural stimuli (SFS) scale, which consist of 9 body silhouettes ranging from underweight (1) to obese (9), was used. Statements with "yes/no" responses were used to evaluate the prevalence of behaviors motivated by the Korean wave.
Participants in the study were recruited online. The author distributed the questionnaire link on the X social network among hallyu fan communities. After 2 weeks of sharing the survey, 124 responses were collected, of which 3 were discarded due to incorrect completion. The link was shared in communities communicating exclusively in Spanish, and the inclusion criterion for admitting responses was that the participants resided in Western countries. The data were collected in Microsoft Excel and prevalence for each answer was calculated. 
A total of 67.8% of the participants reported comparing their bodies to those of Korean celebrities, and 53.7% experienced a disturbance in their body image perception after exposure to hallyu. Risk behaviors related to exercise were more prevalent among participants than were those related to eating. The majority of participants engaging in these behaviors were females aged 18 years or younger.
DOI: 10.17632/9y2njzp75r.1
title: A dataset for "A high-performance WAAM process for Al-Mg-Mn using controlled short-circuiting metal transfer at increased wire feed rate and increased travel speed"

description: In the study, a high-performance controlled short-circuiting metal transfer process at a wire feed rate of 12 m/min for WAAM with an Al-Mg-Mn alloying system was developed. The arc current and voltage waveforms were studied by oscillograms processing and then modified to reduce energy input in comparison with a self-regulated gas metal arc welding process. The newly developed process was implemented in manufacturing of the sample parts at a travel speed of up to 150 cm/min. Modified waveforms in a combination with an increased travel speed led to a decrease in heat input, which appeared to be 16% lower than that of a conventional self-regulated process. Decreased heat input lead to an improvement of the geometry preservation stability at high process rates (up to 2.2 kg/h). The mechanical properties study showed that the elongation of the tensile samples was up to 41%, the increase in elongation was explained through macro- and microstructure analysis. The provided data shows remarkable tensile test results and remarkable macro- and microstructure images, which were used to evaluate porosity and grain size in the study of the deposited metal properties. High-speed video of a metal transfer during deposition using the newly developed process along with a high-speed video of a wire feeding process are also presented in this dataset.
DOI: 10.17632/cyj55xtjfs.1
title: Mendeley supplemental table 1. Treatment response in BASCULE syndrome

description: Pediatric BASCULE syndrome in 42 patients: a peek into dysautonomia
Supplemental data : Treatment response in BASCULE syndrome
DOI: 10.17632/j9mvw2zwgf.2
title: Mid-19th century road network dataset for Galicia and Austrian Silesia, Habsburg Empire

description: Dataset presents vector dataset of the historical road network of Galicia and Austrian Silesia (&gt; 80 000 km2) in the mid-19th century – two regions of the former Habsburg Empire, located in Central Europe. The data were acquired manually from 455 map sheets of the Austrian second military survey map (1:28,800) for the four main road categories, according to the map legend. All the road categories present the roads passable at any time of the year, which was strategic information from the military point of view and build a network of 15 460 km. Currently, the data can be used by various researchers studying migrations, regional development, but also human impact on the environment, like land use change, invasive species introduction or landscape fragmentation. The dataset presents the times just before the most dynamic economic changes of the 19th century, which had a great impact on the region. On the other hand, the road network presented here was developed in the conditions of one country, the Habsburg Empire, which collapsed after the First World War, triggering the rise of new states and remodelling the transport network connections in Central Europe. Additionally, the data are accompanied by the layer of towns and villages with more than 2000 inhabitants, based on the 1857 Austrian census data. This research was funded by the Ministry of Science and Higher Education, Republic of Poland under the frame of “National Programme for the Development of Humanities” 2015–2020, as a part of the GASID project (Galicia and Austrian Silesia Interactive Database 1857–1910, 1aH 15 0324 83).
DOI: 10.17632/djcb932bxv.1
title: Effects of soil types on bacterial diversity, structure and function in vineyard soil Supplementary Material

description: Effects of soil types on bacterial diversity, structure and function in vineyard soil Supplementary Material
DOI: 10.17632/rvd9nbxtdr.2
title: Data for: Assessing land use and land cover change and farmers’ perceptions of deforestation and land degradation in South-West Côte d’Ivoire, West Africa

description: This file contains records on 411 surveyed people in southwestern Cote d'Ivoire. The study evaluated farmers perception of deforestation, land degradation and land use and land cover change in the peripheral zone of the Tai National Park, so-called Espace Tai
DOI: 10.17632/vsxvgc4rwy.1
title: Data for: Clustering Benchmark Datasets Exploiting the Fundamental Clustering Problems

description: This directory contains the Fundamental Clustering Challenges. It contains different data sets with a given classification. The data sets are rather simple and low in dimensionality. Each dataset adresses a certain problem for clustering. Standard clustering algorithms such as single linkage, ward and k-means are not able to cluster all of the data sets correctly. These datasets may serve as a minimal test for new invented cluster algorithms. Every new invented algorithm should at least cluster the FCPS correctly. Datasets of dimensionality 3 or higher can also serve to validate dimensionality reduction methods of the type which attempts to visualize information by means of projections that are restricted to visualizing data in a two-dimensional space while preserving their structure. Conventional projection methods, like MDS or PCA, are not able to visualize the cluster structures correctly. All files are ASCII text files. Colums are separated by TAB. Headers are included. *.lrn files contain the data including a unique key for each case, *.cls contain keys and class labels. Each class is indicated by a positive number. *.lrn the data including a unique key for each case *.cls contains key and class. Each class is indicated ba a positive number. Data can be opend with https://github.com/aultsch/DataIO. with a *.csv reader, or using the R package FCPS on CRAN: https://CRAN.R-project.org/package=FCPS
DOI: 10.17632/hmsc33hmkz.1
title: Mexican Sign Language's Dactylology and Ten First Numbers - Extracted Features and Models

description: The following folders have the extracted landmarks coordinates by Mediapipe Holistic that were obtained from videos of Mexican Sign Language's Dactylology and Ten First Numbers to get static (image) and continuous (video) signs respectively. Additionally, the static (SVM, GBL) and continuous (GRU, LSTM) trained models were saved under the folders' names static_data and dynamic_data accordingly.

LSTM's final model was saved under the name: "dynamic_experiment_lstm_v4.h5"
GRU's final model was saved under the name:  "dynamic_experiment_lstm_v7.h5"
Gradiant Boost Light's final model was saved under the name: "models_histgrad_v2"
SVM's final model was saved under the name: "models_svm_v2"
DOI: 10.17632/x4hgnjj5gv.2
title: ArsenicSkinImageBD

description: Type of data: Image file (Dimension: 244p x 244p) Data format: PNG Number of images: The dataset contains 8892 images in "Augmented" folder, and in the "original" folder, each of the healthy and affected folders contain 741 images, in total 1482 distinct images. Diseases considered: Arsenicosis Number of classes: Two (Affected and healthy). Distribution of instances: Both the affected and the healthy category has 4446 images. How data are acquired: Human subjects were photographed using four smartphones with different camera specifications. Data source locations: 1. Village: Betbaria, Ward:08, Union: Balidanga, 2. Village: Balubagan, Ward:08, Union: Maharajpur, 3. Village: Dole para, Ward:09, Union: Maharajapur, 4. Village: Ramchandrapur hat, Ward:08, Union: Dohilpara, Sadar, Chapainawabganj. Where applicable: Suitable in dermatology, to distinguish affected and healthy skin. Folder Structure: Provided in the readme file.
DOI: 10.17632/9tjjbgzcr3.1
title: Data for: Dynamic limited axial compression yields favorable functional outcomes in the fixation of Pauwels type-3 femoral neck fractures: A retrospective cohort study
DOI: 10.17632/5ktn29643y.1
title: IEEE_Researchpapers_OpenJournal

description: 2000 Research papers published by various authors on Sentiment Analysis in IEEE Conferences
DOI: 10.17632/czgnys3dbn.1
title: Prevalence and Independent Predictors of Iron Deficiency in Yemeni Patients with Heart Failure: A Retrospective Cross-Sectional Study

description: A retrospective study consisted of 108 Adult Yemeni patients with HF who had been admitted based on validated clinical criteria from Jun 2021 to Sept 2022 at Al-Thorah General Hospital, IBB, Yemen. ID was defined as serum ferritin concentrations of &lt; 100 ng/mL or 100-299 ng/mL with transferrin saturation &lt; 20%. The prevalence of ID among HF patients and independent predictors of ID were investigated in univariate and regression analysis.
DOI: 10.17632/zvxzrkp6d8.1
title: Data for: Information Communication Technology development and energy demand in African countries

description: This file contains the data and the STATA estimation code to replicate the results in the article entitled: "Information Communication Technology development and energy demand in African countries".
DOI: 10.17632/w396pxs7k7.1
title: Data for: Factors influencing the download of mobile health apps: Content review cum regression analysis

description: The data set shows the diabetes mobile app basic details, classification and analysis.
DOI: 10.17632/9ng3zprk4k.1
title: Anxiety and Stress in Adolescents and Short Bout of Exercise

description: Objective: We aimed to investigate the immediate effect of a 10-minute dodgeball exercise session, with and without a VR headset, on self-reported stress, anxiety and cognitive performance in adolescents during times known to induce stress in high school, such as exam weeks. Materials and Methods: Participants were randomly assigned to a VR group (N=16) where participants were immersed in a virtual dodgeball environment, or a dodgeball group (N=14) which played a simple game of one-on-one dodgeball. Executive function was measured using the Trail Making Test (TMT) Parts A & B. Anxiety was self-reported on the Pediatric Anxiety Short Form 8a (PASF). Stress was self-reported on the Psychological Stress Experiences-Short Form 8a (PSES). Results: Both groups significantly improved their TMT A & B performance and reduced stress and anxiety scores with effect size ranging from 0.59 to 1.2 (main effect of time P&lt;0.001 for all outcomes). There were no significant differences between groups and no time by group interaction for any outcome.
DOI: 10.17632/h7v36gfjhv.1
title: Data for: Automatic Detection of Particle Size Distribution by Image Analysis Based on Local Adaptive Canny Edge Detection and Modified Circular Hough Transform

description: This dataset is corresponded to the size distributions in this paper.
DOI: 10.17632/mngdrjm8gv.2
title: Digitalization and unphysicalization of relationships in business systems

description: The purposes of this article are to clarify and supplement the theory and methodology of digitalization and unphysicalization of relationship management of business system links, as well as to create theoretical and methodological prerequisites for the creation of its digital twin.
Descriptive and faceted classification methods, methods of analysis and synthesis, induc-tion and deduction were chosen as research methods, and binary matrices formed on the basis of qualitative attributes and dichotomies of objects and components of relationship management of business system links were used as tools.
Based on a systematic approach, the article substantiates the basic components that allow identifying, describing (measuring) and digitizing the relationships of business system links; de-termines a set of actual qualitative attributes and dichotomies of these components; develops an end-to-end (hierarchically ordered) classification of relationships of business system links, as well as an algorithm for justifying management decisions using digitized standards (virtual objects) of these relationships.
The value of research lies in the creation of theoretical and methodological prerequisites for the digitalization of non-physical objects and components of business system relationship management in order to develop rational management decisions using a digital twin aggregate containing the following blocks: consumer value; management system; business system in statics; business system in dynamics; environmental factors; management decision; and the organizational structure of management.
DOI: 10.17632/4nhh9cp6xw.1
title: Distinct tumor architectures and microenvironments for the initiation of breast cancer metastasis in the brain

description: Original data in the main and supplemental figures of Gan et al., Cancer Cell 2024. Summary of the study: Brain metastasis, a serious complication of cancer, hinges on the initial survival, microenvironment adaptation, and outgrowth of disseminated cancer cells. To understand the early stages of brain colonization, we investigated two prevalent sources of cerebral relapse, triple-negative (TNBC) and HER2+ (HER2BC) breast cancers. Using mouse models and human tissue samples, we found that these tumor types colonize the brain, with a preference for distinctive tumor architectures, stromal interfaces, and autocrine programs. TNBC models tend to form perivascular sheaths with diffusive contact with astrocytes and microglia. In contrast, HER2BC models tend to form compact spheroids driven by autonomous tenascin C production, segregating stromal cells to the periphery. Single-cell transcriptomics of the tumor microenvironment revealed that these architectures evoke differential Alzheimer’s disease-associated microglia (DAM) responses and engagement of the GAS6 receptor AXL. The spatial features of the two modes of brain colonization have relevance for leveraging the stroma to treat brain metastasis.
DOI: 10.17632/d9bv5z36sk.1
title: দাম্পত্য, স্বদেশ, এবং আত্ম-সংঘাত: 'ঘরে-বাইরে' উপন্যাসের বিশ্লেষণ

description: দাম্পত্য, স্বদেশ, এবং আত্ম-সংঘাত: 'ঘরে-বাইরে' উপন্যাসের বিশ্লেষণ
DOI: 10.17632/jhws2wyds5.2
title: Dataset of the 2019 Indonesian general election

description: This dataset contains all DPR Candidates for the 2019 Indonesian People's Representative Council election.
For the national level it contains more than 8000 candidates.

This is Indonesian government data and thus in the public domain.
DOI: 10.17632/jsn8cwb9nz.1
title: Dataset for Landslide Susceptibility Prediction

description: This dataset considers 7 landslide conditioning factors such as Curvature, Slope, Aspect, Elevation, NDVI, Precipitation, and LULC for 100 random locations in Raigad district of Maharashtra, India. These factors were categorized based on their range of values and influence on landslide occurrence, ranging from very high(5), high(4), moderate(3), low(2) to very low(1). Further based on the values of these factors the landslide susceptibility of that location is categorized into low (1), moderate(2) and high(3). Thus this dataset can be used for multiclass classification of landslides using machine learning algorithm.
DOI: 10.17632/9rw3vkcfy4.1
title: Web of Science

description: Copyright (c) 2017 Kamran Kowsari Permission is hereby granted, free of charge, to any person obtaining a copy of this dataset and associated documentation files (the "Dataset"), to deal in the dataset without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Dataset, and to permit persons to whom the dataset is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Dataset. If you use this dataset please cite: Referenced paper: HDLTex: Hierarchical Deep Learning for Text Classification Description of Dataset: Here is three datasets which include WOS-11967 , WOS-46985, and WOS-5736 Each folder contains: -X.txt -Y.txt -YL1.txt -YL2.txt X is input data that include text sequences Y is target value YL1 is target value of level one (parent label) YL2 is target value of level one (child label) Meta-data: This folder contain on data file as following attribute: Y1 Y2 Y Domain area keywords Abstract Abstract is input data that include text sequences of 46,985 published paper Y is target value YL1 is target value of level one (parent label) YL2 is target value of level one (child label) Domain is majaor domain which include 7 labales: {Computer Science,Electrical Engineering, Psychology, Mechanical Engineering,Civil Engineering, Medical Science, biochemistry} area is subdomain or area of the paper such as CS-&gt; computer graphics which contain 134 labels. keywords : is authors keyword of the papers Web of Science Dataset WOS-11967 -This dataset contains 11,967 documents with 35 categories which include 7 parents categories. Web of Science Dataset WOS-46985 -This dataset contains 46,985 documents with 134 categories which include 7 parents categories. Web of Science Dataset WOS-5736 -This dataset contains 5,736 documents with 11 categories which include 3 parents categories. Referenced paper: HDLTex: Hierarchical Deep Learning for Text Classification Bib: @inproceedings{kowsari2017HDLTex, title={HDLTex: Hierarchical Deep Learning for Text Classification}, author={Kowsari, Kamran and Brown, Donald E and Heidarysafa, Mojtaba and Jafari Meimandi, Kiana and and Gerber, Matthew S and Barnes, Laura E}, booktitle={Machine Learning and Applications (ICMLA), 2017 16th IEEE International Conference on}, year={2017}, organization={IEEE} }
DOI: 10.17632/bc35n5p4th.1
title: Metformin protects against Clostridioides difficile infection by modulating both host and microbes

description: These data are raw data for Metabolites analysis with NMR, to demonstrate the effects of metformin on metabolism profile of C. difficile.
DOI: 10.17632/x4s2jz55dx.1
title: Tomato fruits dataset for binary and multiclass classification

description: The dataset contains two batches each with 2400 images of tomatoes for binary and multiclass classification.
DOI: 10.17632/f3czkyh3sx.2
title: The human placenta shapes the phenotype of decidual macrophages. Vondra, Höbler et al. 

description: Uncropped images for western blots.
DOI: 10.17632/fbs9mgmh4y.3
title: Cybercrime Awareness among Saudi Nationals: Dataset

description: This survey was based on an online platform, namely Google forms. To ensure data confidentiality, anonymous participation was enabled, and the results were stored in a local database for further analysis. During preprocessing, participants were asked if they agreed or disagreed with participating in the survey. If they agreed, they could access the questionnaire by logging in to Google forms using their Google accounts. They were allowed to submit their answers only one time. Following this phase, all responses were stored locally in order to process the data and further analyze the results. To perform these tasks, the software R studio was used. Data Collection Since the aim of the study is Saudi awareness, we used two methods. First, we browsed public and private university websites in Saudi Arabia, then created a list of faculty email addresses to contact and inform faculty members about our project and goals and provide an invitation to participate. The faculty members ranged from lecturers and teaching assistants to professors. Second, we utilized the WhatsApp application to locate people known to meet the requirements and asked them to forward the invitation to their friends, family members and colleagues who also met the requirements. We avoided posting the survey on social media to assure the validity of participants.
DOI: 10.15468/dl.cbf98b
title: Occurrence Download

description: A dataset containing 231 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pistacia vera L.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 231 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009269-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/vjdbkwp3yg.1
title: Data for: Effect of SiOx-coating crystallinity on electrochemical performance of Si@SiOx anode materials in lithium-ion batteries

description: data： ① XPS spectrum (wide spectrum) of the Si@SiOx sample ② Si 2p XPS spectrum of 550 °C sample ③ Si 2p XPS spectrum of 1150 °C sample ④ XPS parameters
DOI: 10.17632/b6fftwbr2v.1
title: FruitNet: Indian Fruits Dataset with quality (Good, Bad & Mixed quality)

description: High quality images of fruits are required to solve fruit classification and recognition problem. To build the machine learning models, neat and clean dataset is the elementary requirement. With this objective we have created the dataset of six popular Indian fruits named as “FruitNet”. This dataset consists of 14700+ high-quality images of 6 different classes of fruits in the processed format. The images are divided into 3 sub-folders 1) Good quality fruits 2) Bad quality fruits and 3) Mixed quality fruits. Each sub-folder contains the 6 fruits images i.e. apple, banana, guava, lime, orange, and pomegranate. Mobile phone with a high-end resolution camera was used to capture the images. The images were taken at the different backgrounds and in different lighting conditions. The proposed dataset can be used for training, testing and validation of fruit classification or reorganization model.
DOI: 10.17632/38yvh9w946.1
title: Full blots iScience GsdmD lung cancer

description: Full blots for Figure 4
DOI: 10.17632/3fmjm7ncc6.2
title: Data for: Weed Detection in Soybean Crops Using ConvNets

description: From the set of images captured by the UAV, all those with occurrence of weeds were selected resulting a total of 400 images. Through the Pynovisão software, using the SLIC algorithm, these images were segmented and the segments annotated manually with their respective class. These segments were used in the construction of the image dataset. This image dataset has 15336 segments, being 3249 of soil, 7376 of soybean, 3520 grass and 1191 of broadleaf weeds.