cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6824798.v1
title: Electroencephalography-based endogenous brain-computer interface might be used for the online communication with a completely locked-in patient

description: Brain-computer interfaces (BCIs) have demonstrated the potential to provide paralyzed individuals with new means of communication, but an electroencephalography (EEG)-based endogenous BCI has never been successfully used for communication with a patient in a completely locked-in state (CLIS). In this study, we investigated the possibility of using an EEG-based endogenous BCI paradigm for the online binary communication by patients in CLIS.A female patient in CLIS participated in this study. She had not communicated even with her family for more than one year with complete loss of motor function. Offline and online experiments were conducted to validate the feasibility of the proposed BCI system. In the offline experiment, we determined the best combination of mental tasks and the optimal classification strategy leading to the best performance. In the online experiment, we investigated whether our BCI system could be used for real-time communication with the patient. An online classification accuracy of 87.5 % was achieved when Riemannian geometry-based classification was applied to real-time EEG data recorded while the patient was performing one of two mental imagery tasks for 5 s. Our results suggest that an EEG-based endogenous BCI might be potentially used for online communication with a patient in CLIS.
DOI: 10.60893/figshare.sss.28303805.v1
title: 01998-01

description: Survey
DOI: 10.17632/tnf7fg3m4g
title: Averaging positions, velocities, forces, etc., for atoms in crystallographic layers

description: A self-explanatory Perl script with sample data files to work with. Useful for data analysis of lammps' dump files. Has been used in:
Zbigniew Kozioł, Stretched-exponential stress dynamics in chain of springs and masses model of crystals: analytical results and MD simulations, (2025)
DOI: 10.17632/yf25kf22gc
title: Data for: Multifunctional Piezoelectric Elastomer Composites for Smart Biomedical or Wearable Electronics
DOI: 10.6084/m9.figshare.12625034.v6
title: S1 Data

description: Raw data for Fig 1 to Fig 7 and corresponding Prism statistical analysis files. <br>
DOI: 10.6084/m9.figshare.23988420.v1
title: Global Detrital Zircon Trace Element Database

description: Complete Database for the following paper: "<b>Regional trends and petrologic factors inhibit global interpretations of zircon trace element compositions</b>"Nick M W Roberts, Christopher J Spencer, Stephen Puetz, C. Brenhin Keller, and Simon TapsterDOI:10.1016/j.gsf.2024.101852
DOI: 10.6084/m9.figshare.28236221.v1
title: Dataset HIV and comorbidities

description: This dataset covers the data collected from various HIV clinics in Ghana for people living with HIV and comorbidities of diabetes and hypertension. Overall, the focus was on the cost burden of this on households.
DOI: 10.6084/m9.figshare.3521078.v1
title: Appendix B. Parameters of generic allometric models.

description: Parameters of generic allometric models.
DOI: 10.6084/m9.figshare.866827.v2
title: Academis Linux Tutorial

description: In this tutorial you can learn the basics of Unix using the command line. This tutorial is for you if you have no previous experience with Unix-like systems, or know a few commands but would like to know more.
DOI: 10.6084/m9.figshare.c.3661856_d1.v1
title: Additional file 1: of Toward a comprehensive drug ontology: extraction of drug-indication relations from diverse information sources

description: Drug-Indication Database non-proprietary subset. (XLSX 61806Â kb)
DOI: 10.17632/6fwgmxkb5f
title: como construir una estrategia publicitaria sobre autoestima hacia los hombres de primer semestre de publicidad del año 2024A de la universidad Santiago de Cali 

description: para obtener el titulo de publicista
DOI: 10.6084/m9.figshare.14644794.v2
title: Appendix 7.1 WeChat data (Nov. 2018 - Dec. 2019)

description: The dataset contains WeChat posts uploaded by 47 most influential WeChat official accounts from November 2018 to December 2019.<br><br>Column introduction:seq: serial number of WeChat postid: unique id number of WeChat postaccount: WeChat public accounttime: date of post publicationauthor: author of WeChat postofficial: official affiliation of WeChat postlicense: Whether the WeChat post was published by a CAC-licensed public accountforprofit: Whether the WeChat post was published by a profit-oriented public accountmedia: number of multimedia objects in WeChat postcensor: Whether the WeChat post was censoredtitle: title of WeChat posturl: permanent link of WeChat postfiltered_content: content of WeChat post (ads removed) segcon: tokenized content of WeChat postmonth: the month the WeChat post was publishedweek: the week (as represented by the date of Monday) the WeChat post was publishedkeywords: Top 8 keywords of WeChat postsegword: Number of tokens of WeChat posts
DOI: 10.6084/m9.figshare.29148818.v2
title: Gesture Recogntion Dataset

description: <i>The data were exported from the HoloLens 2 and subsequently preprocessed to extract key analytical metrics, including the mean, median, standard deviation (STD), interquartile range (IQR), and standard error (SE). The processed results were then systematically organized for integration into SPSS to facilitate further statistical analysis.</i><i>The outcomes of the participants’ responses to the questionnaire were compiled and analyzed to assess user experience and gather subjective feedback relevant to the study objectives.</i>
DOI: 10.6084/m9.figshare.7732268.v3
title: Failure dataset

description: This failure dataset contains the injected faults, the workload, the effects of failure (both the user-side impact and our own in-depth correctness checks), and the error logs produced by the OpenStack cloud management system.<br>Please refers to the paper "How Bad Can a Bug Get? Empirical analysis of software failures in the OpenStack cloud computing platform" (ESEC/FSE '19).<br>Please, cite the following paper if you use the dataset:<br><pre>@inproceedings{cotroneo2019bad,</pre><pre>title={How bad can a bug get? an empirical analysis of software failures in the OpenStack cloud computing platform},</pre><pre>author={Cotroneo, Domenico and De Simone, Luigi and Liguori, Pietro and Natella, Roberto and Bidokhti, Nematollah},</pre><pre>booktitle={Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering},</pre><pre>pages={200--211},</pre><pre>year={2019} }</pre><pre><br></pre><pre>Visit the github repo for any updates: https://github.com/dessertlab/Fault-Injection-Dataset</pre>
DOI: 10.17632/2255bdy9mm
title: AmlaNet- Star gooseberry dataset

description: Star gooseberry (Phyllanthus acidus), known for its sour and tangy flavor, is recognized in Ayurveda and traditional medicine for its various health benefits such as detoxification, digestive Health, anti-inflammatory properties, antibacterial and antiviral and cardiovascular health. The dataset named “AmlaNet “consists of 792 image samples of Amla at different growth stages that are captured in plain background with varying angles, different amla sizes, brightness levels, and varying distances that contribute to the area of fruit detection, quality assessment, weight estimation, and classification of fruits at different ripeness stages.
DOI: 10.17632/2yrbry6x7v
title: Avaliação do conhecimento de pacientes e acompanhantes do Hospital Universitário de Maringá sobre toxoplasmose

description: Data collected from patients and companions at Maringá's Regional University Hospital via questionnaire regarding knowledge about toxoplasmosis for use by the contributors for a study. Use UTF-8 decoding for better viewing.
DOI: 10.17632/w7bkg99gp6
title: Data for: Brucellosis in an adult female from Fate Bell, Shelter (4,000-1,300 BP)

description: The first file is a movie (.mov) of a 3d model of lumbar vertebrae 1 through 5 created from a CT scan of a prehistoric adult woman with probable brucellosis from Fate Bell Shelter. The CT scan was taken using a GE Medical systems Discovery (MI) CT scanner (slice thickness 0.625) at the Image Research Center at the University of Texas at Austin. The second file is the same data as the movie but in mesh format (.mix) created using Meshmixer.
DOI: 10.6084/m9.figshare.12032745.v29
title: Identification of potent inhibitors of COVID-19 main protease by using In Silico methods

description: COVID-19 pandemic caused by a newly emerged coronavirus. This severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) outbreak poses a serious public health risk. Also the global health concerns raised, because this viral infection spreads from person to person in some case with no reported symptoms. This pandemic situation encourages drug repurposing of the available drugs such as hydroxychloroquine and remdesivir for the COVID-19 treatment. Drug repurposing could improve the existing clinical management. Current study, aims to predict the viral protease inhibitor for the COVID-19 main protease (M<sup>pro</sup>). This COVID-19 M<sup>pro</sup> enzyme cuts the polyproteins translated from viral RNA to yield functional viral proteins. The crystal structure of M<sup>pro</sup> (PDB ID: 6LU7) was obtained from Protein Data bank. Molecular docking investigations between the target protein and ligands were performed using PyRx virtual Screening software. All the test compounds got docked with the targeted viral protein. Present <i>in silico</i> study suggest Notomycin, Coumermycin A1, and Suramin as potent M<sup>pro </sup>inhibitor based on the binding energy and molecular interactions. However, further research is necessary to investigate their potential therapeutic use. All relevant molecular docking data and supporting information is accessible freely from the www.findrug.org. <br> Virtual Screening PyRx is a Virtual Screening software for computational drug discovery that can be used to screen libraries of compounds against potential drug targets. Virtual molecular screening is used to dock small-molecule libraries to a macromolecule in order to find lead compounds with desired biological function. This in silico method is well known for its application in computer-aided drug design. PyRx is open-source software with an intuitive user interface that runs on all major computer operating systems.<br>AcknowledgementVIT-SIF Lab, SAS, Chemistry Division for NMR and GC-MS Analysis.<br> <br>
DOI: 10.6084/m9.figshare.16560144.v1
title: A Geospatial and Binomial Logistic Regression Model to Prioritize Sampling for Per- and Polyfluorinated Alkyl Substances (PFAS) in Public Water Systems-Dataset

description: IIt includes data that were used in the manuscript(A Geospatial and Binomial Logistic Regression Model to Prioritize Sampling for Per- and Polyfluorinated Alkyl Substances (PFAS) in Public Water Systems.) It includes layers that were created in online ArcGIS pro in manuscript and result of regression model that was done in the manuscript.
DOI: 10.6084/m9.figshare.9764942.v1
title: MACCROBAT2018

description: This ZIP-compressed file contains 200 source documents (in plain text, on sentence per line) and 200 annotation documents (in <i>brat </i>standoff format). Documents are named using PubMed document IDs, e.g. "15939911.txt" contains text from the document "A young man with palpitations and Ebstein's anomaly of the tricuspid valve" by Marcu and Donohue. Text is from PubMed Central full-text documents but has been edited to include only clinical case report details. All annotations were created manually.
DOI: 10.17632/dxcdv8652s
title: Fine-Grained Sports, Yoga, and Dance Postures Recognition: A Benchmark Analysis

description: Abstract—Human body-pose estimation is a complex problem in computer vision. Recent research interests have been widened specifically on the Sports, Yoga, and Dance (SYD) postures for maintaining health conditions. The SYD pose categories are regarded as a fine-grained image classification task due to the complex movement of body parts. Deep Convolutional Neural Networks (CNNs) have attained significantly improved performance in solving various human body-pose estimation problems. Though decent progress has been achieved in yoga postures recognition using deep learning techniques, fine-grained sports, and dance recognition necessitates ample research attention. However, no benchmark public image dataset with sufficient inter-class and intra-class variations is available yet to address sports and dance postures classification. To solve this limitation, we have proposed two image datasets, one for 102 sport categories and another for 12 dance styles. Two public datasets, Yoga-82 which contains 82 classes and Yoga-107 represents 107 classes are collected for yoga postures. These four SYD datasets are experimented with the proposed deep model, SYD-Net, which integrates a patch-based attention (PbA) mechanism on top of standard backbone CNNs. The PbA module leverages the self-attention mechanism that learns contextual information from a set of uniform and multi-scale patches and emphasizes discriminative features to understand the semantic correlation among patches. Moreover, random erasing data augmentation is applied to improve performance. The proposed SYD-Net has achieved state-of-the-art accuracy on Yoga-82 using five base CNNs. SYD-Net’s accuracy on other datasets is remarkable, implying its efficiency. Our Sports-102 and Dance-12 datasets are publicly available for research only.


Please cite this work:

A. Bera, M. Nasipuri, O. Krejcar and D. Bhattacharjee, "Fine-Grained Sports, Yoga, and Dance Postures Recognition: A Benchmark Analysis," in IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-13, 2023, Art no. 5020613, doi: 10.1109/TIM.2023.3293564.

https://ieeexplore.ieee.org/document/10177209
DOI: 10.17632/phk6dg6xb6
title: Base de dados: uma análise no campo da educação militarizada: o que dizem as pesquisas?

description: Os dados derivados de uma Revisão Sistemática da literatura destacam os aspectos centrais relacionados ao tema "Escolas Militarizadas/Escolas Cívico-Militares". Foram estabelecidas oito categorias interpretativas, das quais seis criticam o modelo em questão, enquanto uma ressalta aspectos positivos e uma destaca a ausência da educação militarizada nas pesquisas científicas. Particularmente notáveis são as críticas dirigidas ao modelo de militarização das escolas, especialmente as indicações de que essa política pública não está em conformidade com a Constituição Federal de 1998, o que ajuda a entender melhor esse tópico. Adicionalmente, os dados ressaltam os autores mais mencionados nos trabalhos selecionados, bem como os procedimentos metodológicos empregados.
DOI: 10.17632/ydvmxhv45m
title: Data: Survey on factors influencing willingness to use ChatGPT

description: This study investigates the factors influencing the intention to use ChatGPT among Chinese college students. Based on integrating the Technology Acceptance Model (TAM) and the Innovation Diffusion Theory (IDT), perceived popularity and compatibility were introduced to extend the model. Questionnaires were distributed to 451 college students through snowball sampling, and the data were statistically analyzed using SPSS and AMOS software. The research results showed that perceived compatibility and perceived popularity have a significant positive effect on the intention to use ChatGPT; perceived usefulness and perceived ease of use played a partial mediating role between perceived compatibility, perceived popularity, and use intention; perceived usefulness played a partial mediating function between perceived ease of use and use intention. The study provides a theoretical perspective for understanding college students' acceptance and intention to use emerging technology tools like ChatGPT. The findings also provide an empirical basis for educators and technology developers to optimize product design and enhance the effectiveness of educational technology applications.
In selecting subjects for data collection, this study draws on the research standards established by researchers at Harvard, MIT, and Stanford for classifying MOOC platform users, as well as the clustering criteria used by American scholar Khalil to categorize Coursera learners. ChatGPT users are defined as those who actively engage with the platform, excluding "no-shows" and "registrants only." Given the sample's availability and representativeness, the survey was conducted using a combination of online and offline methods. The offline survey was conducted from October to December 2023, during which research team members distributed questionnaires to college students by participating in academic forums, themed events, and seminars on college campuses. A total of 110 valid questionnaires were collected. The online survey was carried out from January to April 2024, primarily through social networks, WeChat, QQ, and other online channels connected to the offline survey participants, resulting in 382 returned questionnaires. In total, 492 questionnaires were collected through both methods. After excluding invalid responses due to excessively short or long completion times and incomplete information, 451 valid questionnaires were obtained, yielding an effective rate of 91.67%.
DOI: 10.25387/g3.12250091.v1
title: Supplemental Material for Evans and Andersen, 2020

description: File S1 contains the results of the original dose response high-throughput fitness assay. File S2 contains the residual phenotypic values for all 159 set 1 RIAILs, 296 set 2 RIAILs, and parent strains (N2 and CB4856) in response to all eight chemotherapeutics. File S3 contains the linkage mapping results for the set 2 RIAILs for all 32 drug-response traits tested in the high-throughput fitness assay. File S4 is a VCF that reports the genotype of ECA1114. File S5 contains the simplified genotype of all the NILs in the study. File S6 contains the raw pruned phenotypes for the NIL dose response with the modified high-throughput fitness assay. File S7 contains the pairwise statistical significance for all strains and high-throughput assays. File S8 contains the microarray expression data for 14,107 probes from Rockman et al. 2010. File S9 contains the linkage mapping results for the expression data obtained with the set 1 RIAILs. File S10 contains the location of each eQTL hotspot and a list of genes with an eQTL in each hotspot. File S11 contains the linkage mapping results from the set 1 RIAILs for all 32 drug-response traits tested in the high-throughput fitness assay. File S12 contains the pairwise mediation estimates for all 32 drug-response traits and all 49 probes. File S13 contains the raw pruned phenotypes for the scb-1 deletion modified high-throughput fitness assay. The datasets and code for generating figures can be found at https://github.com/AndersenLab/scb1_mediation_manuscript. Supplemental materials are available at Figshare.<br>
DOI: 10.6084/m9.figshare.19200284.v1
title: The E-nose Dataset of Adulterated meat in our article: A Machine Learning Method for the Quantitative Detection of Adulterated Meat Using a MOS-Based E-Nose.zip

description: The E-nose Dataset of Adulterated meat in our article: A Machine Learning Method for the Quantitative Detection of Adulterated Meat Using a MOS-Based E-Nose
DOI: 10.6084/m9.figshare.3125884.v1
title: THE HUMAN RIGHT TO ENERGY IN THE BRAZILIAN CONTEXT

description: This paper1 will explore the basic legal framework for understanding the right to energy, as it applies to the Brazilian context. It will first outline basic international frameworks that justify the legal consideration of energy as a human right and as an environmental development obligation. After that, this paper will detail how other countries understand this obligation through statute and case law. Then, this paper will posit basic questions that are critical to framing the dialogue about the right to energy. Within that framework, this paper will discuss the right to energy in the Brazilian context and the legal application of such a right. The conclusion of this paper will investigate domestic, regional, and international support structures that can assist Brazil in its development and implementation of the right to energy.
DOI: 10.17632/whpx2pvj5j
title: Dataset for the synthesis of highly stabilized Pt-Pd-Co catalysts to improve electroactivity on methanol oxidation reaction in alkaline media: XPS, EIS and SEM/EDS characterization

description: This document contains additional information on the characterization of ternary PtPdCo/C catalysts that were synthesized in different proportions by the colloidal method by displacement of organometallic ligands using octylamine as a stabilizer, which were prepared to improve the properties of electrode materials during the oxidation reaction of Methanol in direct alcohol fuel cells. These data will provide complete specific information of the X-ray photoelectron spectroscopy (XPS), electrochemical impedance spectroscopy (EIS) and scanning electron microscopy (SEM) with energy dispersive X-ray spectroscopy (EDS) characterization. Specifically, it is shown the fitting of each element, determination of their chemical composition of forming the ternary alloy and the surface state. It also provides information on the electrochemical impedance spectroscopy (EIS) technique that complements the data previously provided, using Bode plots; finally, it provides mapping with semiquantitative analyses of the elements forming the alloy in the catalysts. The data provided in this document could be useful for researchers that developed electrode materials with low amounts of noble metals to be used in polymer electrolyte membranes fuel cells.
DOI: 10.6084/m9.figshare.24453955.v3
title: Soil-derived Dissolved Organic Matter in Inland Wetlands along A Temperate River_Original Data

description: Using UV-Vis and fluorescence excitation-emission matrix spectroscopy coupled with parallel factor analysis, we determined spatial variations in DOM sources and composition of 12 river wetlands across China's second-largest inland river basin, the Heihe River Basin. The original data includes the UV-Vis and EEMs of the DOM, geographic characteristics of wetlands, and physical and chemical properties of soil. Codes for all analyses are also included in the folder.
DOI: 10.6084/m9.figshare.12931400.v1
title: 2Ra funestus SNPs

description: Single nucleotide polymorphisms within inversion 2Ra (approximate coordinates: 25,967,767 - 33,984,223).<br>
DOI: 10.6084/m9.figshare.14909766.v3
title: Tetrode recordings from CA1

description: Tetrode recordings from CA1.<br><br>The recording sessions used in this study were around 40 min long, depending on the spatial sampling of the animal, in a rectangular environment of 1.75 x 1.25 m, on the second, third or fourth exposure, varying between animals. There was one large cue card raised above the boundary and two smaller cue cards distributed on the side of the boundary. Foraging was encouraged with 20 mg chocolate-flavoured pellets dropped into the environment by custom automated devices.<br><br>The raw openephys files can be opened via read_open_ephys method (see https://github.com/CYHSM/DeepInsight)