cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/gcn4p9hbpm.5
title: Integrated proteomics and metabolomics reveal phytosesquiterpene lactones DET and DETD-35 inhibit triple-negative breast cancer cell activity by depleting ATP synthesis and reprogramming primary metabolism

description: Phytosesquiterpene lactones DET and DETD-35 are reported to induce oxidative stress towards inhibiting the activities of triple-negative breast cancer (TNBC) cells. However, how DET and DETD-35 affect mitochondrial proteome and associated oxidative phosphorylation in TNBC cells is unclear. In this study, the mechanisms through which DET and DETD-35 inhibit MDA-MB-231 TNBC cells were dissected. DET and DETD-35 promoted mitochondrial superoxide production by upregulating expression of SOD1 and SOD2, and induced permeability transition pore opening, and attenuated intracellular ATP levels. Neither compound interfered with mitochondrial respiration/bioenergetics in normal mammary MCF-10A cells. Comparative mitochondria proteome and bioinformatic analyses showed significant deregulation of proteins related to the oxidative phosphorylation, depolarization of mitochondria, and apoptosis signaling in DET- or DETD-35-treated TNBC cells, and primary metabolomics revealed that both compounds deregulated metabolites dynamics and the corresponding metabolic pathways in TNBC cells. Knockdown of the PRKCA gene/protein involved in inducing mitochondrial toxicity in TNBC cells reversed cytotoxicity and apoptosis and decreased the levels of several metabolites induced by DET or DETD-35 in the cancer cells. Integrated Pearson’s correlation and IPA network analyses of differentially expressed proteins and metabolites revealed the networks of ATP synthesis, energy homeostasis, and mitochondrial activities (respiration, depolarization, and transmembrane potential) highly correlated to the compound effects. Notable, DET/DETD-35 inhibited mitochondrial ATPase activity, and molecular modeling further predicted the binding sites of either compound with ATP synthase at the subunits α/βand c/a interfaces. In summary, the mechanisms through which these phytosesquiterpene lactones disrupt mitochondrial biogenetics to inhibit TNBC cell activities were delineated.
DOI: 10.17632/kr9krc3dvy
title: VISIBILITY OF INSTITUTIONS OF HIGHER MUSIC EDUCATION

description: Empirical research is devoted to studying the visibility of institutions of higher music educational according to a consolidated rating (2014-2024)
DOI: 10.17632/c5mfhr2xcz.1
title: Offline Handwritten Signature Database based on Age Annotation (OHSDA)

description: Handwritten signature analysis is the endeavoring research in many verification and recognition system problem. As per our best of knowledge there is less number of publicly available datasets which have age class annotation for signature. With this motivation, own dataset is created. The nature of this own offline handwritten signature database is described below. 

• In-house total of 6010 signatures were collected randomly in 601 healthy volunteers (330 males; 271 females; Age range 18-50 years) 

• From each individual 10 signatures acquired on a white A4 paper sheet using blue or black colored ball pen. 

• To avoid geometrical variations, the papers with sample signatures have been scanned using the EPSON DS 1630 color scanner with a resolution of 300 DPI.

• The signature samples consist of multilingual scripts of Kannada, Hindi, Marathi, and English.

• The participants who had knowledge of English and other regional languages, have been educated about the purpose of collection of signature samples.

Male signatures age range will start from ‘male signatures 18-50 years’ and female signature will starts from ‘female signatures 18-50 years’.

All Scanned Offline Signature samples are in .jpg format, the male signatures start with 'm' and female signatures start with 'f'.
DOI: 10.17632/6ttjr5vx94.1
title: 3D printed dermatoscope stl files

description: STL files for 3D printing a medical grade dermatoscope
DOI: 10.17632/x48f9nrc25
title: Machine learning technology predicts postoperative ileus after laparoscopic radical colorectal cancer resection combined with lobaplatin hyperthermic intraperitoneal chemotherapy

description: Machine learning technology predicts postoperative ileus after laparoscopic radical colorectal cancer resection combined with lobaplatin hyperthermic intraperitoneal chemotherapy
DOI: 10.17632/nm5b82wbmt.3
title: Physico- chemical properties of soil from six firkas in Dharmapuri district,Tamil nadu, India.

description: The study area consisted of six firkas in Dharmapuri district, Tamil Nadu, India: Marandahalli, Vellichandai, Palacode, Karimangalam, Pulikarai, and Periyanahalli. A GPS device was used to record the locations of soil samples. pH, EC, sand, silt, clay, BD, WHC, OC, Calcium carbonate, and available NPK were determined in the samples. After converting the data to vector layers, kriging was used to build a spatial variability map of each soil parameter.
DOI: 10.17632/dc6n5x9rfs.1
title: Data for: An efficient FE-implementation of implicit gradient-enhanced damage models to simulate failure

description: The dataset contains a material routine (UMAT.f) and a user-defined hardening routine (UHARD.f) to be used in conjunction with FE-program ABAQUS. These subroutines enable to take into account gradient-enhanced damage. A special ductile damage model is implemented. Different examples (input-files) are given to conduct convergence studies (shear band specimen, plate-with-hole, double-notched tensile test). More information about usage is given in the short-documentation (Doc.pdf).
DOI: 10.17632/b38t6kbp4g.1
title: Data for: Long-term empirical monitoring indicates the tolerance of giant panda's habitat to climate change under contemporary conservation policies

description: the data contains plant species richness, abundance, plant functional group diversity, plant leaves functional traits
DOI: 10.17632/4skwhnrscr.1
title: Goat Image Dataset

description: Two different types of datasets are uploaded. The first dataset is useful for detection purpose. This consists of a total 1680 goat image where the face, eye, mouth and ear bounding boxes are given in YOLO format. On the other hand, the second dataset is for face recognition and facial expression analysis. In total 1311 images are captured from 10 individuals of a Chinese farm.
DOI: 10.17632/zcky9dypsr.1
title: CMTM6 shapes antitumor T cell response through modulating protein expression of CD58 and PD-L1. Beiping Miao et al.

description: here is the original data for the manuscript submitted
DOI: 10.17632/8hh7c83xdn.1
title: Thermodynamics, non-linear kinetic and isotherm studies of Bisphenol A uptake onto chemically activated carbons derived from safou (Dacryodes edulis) seeds

description: Safou seeds can be used as a new low-cost adsorbent for Bisphenol A uptake from aqueous solution for a sustainable and ecological use of this biomass. Interesting results were obtained. They have been interpreted based on the literature.
DOI: 10.17632/gwt733fgvz.1
title: Data for: Finite Fields in Chaotic Maps and Diffusion and its Application to Digital Image Cryptography

description: Digital Image Encryption
DOI: 10.17632/z4cgk8z26d.2
title: Capital humano no setor público e práticas de avaliação educacional no Cefor

description: Documentos relativos à pesquisa: "IDENTIFICANDO O CAPITAL HUMANO NO SETOR PÚBLICO: UMA ANÁLISE A PARTIR DAS PRÁTICAS DE AVALIAÇÃO EDUCACIONAL NA CÂMARA DOS DEPUTADOS". Incluem dados complementares à elaboração da dissertação de conclusão de curso apresentada como requisito parcial para obtenção do título de Mestre no Curso de Mestrado Profissional em Poder Legislativo do Programa de Pós-Graduação do Centro de Formação, Treinamento e Aperfeiçoamento da Câmara dos Deputados - Cefor.
DOI: 10.17632/n3f8pt94s5.1
title: Supply chain finance digitalization and corporate financial fraud：Evidence from China

description: Using a sample of Chinese A-share listed firms from 2008 to 2021, we investigates the relationship between supply chain finance digitalization and corporate financial fraud. Our results are obtained from a PSM-DID approach,and we find that supply chain finance reduces corporate financial fraud.
DOI: 10.17632/y9svrbh27n.1
title: dataset

description: Data set about hand configuration of Pakistan Sign Language
DOI: 10.17632/8vb32h2km4
title: Experimental data

description: The research data mainly include runoff and sediment production from simulated rainfall experiments on the Loess Plateau.
DOI: 10.17632/cfdtmrrh4m.1
title: Data for: How does Learner-Centered Education affect Teacher Self-Efficacy? The case of Project-Based Learning in South Korea

description: Data and codes for reproducing the results in the paper "How does Learner-Centered Education affect Teacher Self-Efficacy? The case of Project-Based Learning in South Korea."
DOI: 10.17632/n6rx8rx24v.2
title: Marketing Communications Across Generations: Insights from Indonesia's Online Marketplaces

description: This study examines the dynamics of online consumer behavior in Indonesia's marketplaces, focusing on how hedonic and utilitarian browsing, alongside electronic word-of-mouth (eWOM), influence e-satisfaction and e-loyalty. Using the Technology Acceptance Model (TAM), Expectancy-Disconfirmation Model (EDM), and Social Influence Theory (SIT), it explores generational differences between Millennials, Generation X, and Baby Boomers. Data collected through online surveys reveal that Millennials and Gen X show stronger associations between browsing behaviors and positive outcomes, such as e-satisfaction and e-loyalty, compared to Baby Boomers. The study highlights the importance of tailored marketing communications, with Millennials responding to personalized, engaging content, while Gen X values practicality, and Baby Boomers prioritize trust and customer service. The research provides actionable insights for businesses to optimize strategies based on generational preferences, enhancing brand loyalty and customer satisfaction. Future studies should consider additional factors influencing behavior and evaluate the long-term impact of segment-specific marketing approaches.
DOI: 10.17632/gpxrsnf7pb.1
title: Head-to-head comparison of four hyaluronic acid dermal fillers for lip augmentation: a multi-center randomized, quadruple-blind, controlled clinical trial.

description: Supplementary Material with details pertaining to our eponymous paper in the Journal of the American Academy of Dermatology.
DOI: 10.17632/pfcpvzcw95.1
title: Assessing the Behavioural Intention of Individuals to Use an AI Doctor at the Primary, Secondary, and Tertiary Care Levels

description: The research has been designed to fit into the framework of AI doctors and used previously validated measurements. Social influence (SI), was derived from Teo (Teo, 2009) and Park et al. (Park, Baek, Ohm, & Chang, 2014). Perceived task technology ft (PTTF) was adapted from Lu and Yang (Lu & Yang, 2014). Performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating conditions (FC), high-tech lifestyle (HTLS), behavioural intention to use AI doctors primary level (Primary BI), behavioural intention to use AI doctors secondary level (Secondary BI), behavioural intention to use AI doctors tertiary level (Tertiary BI) which were adapted from Venkatesh et.al (Venkatesh et al., 2012). The last two indicators of performance expectancy “AI will provide up-to-date health info that I need”, and “AI will provide new instructional content that I need” were adapted from Lee and Letho (D. Y. Lee & Lehto, 2013). Privacy concern (PC) was adapted from Martins et al. (Martins, Oliveira, & Popovič, 2014). A five-point Likert scale on a rating of 1 (strongly disagree) to 5 (strongly agree) was used to evaluate each indicator. 
People who knew more about how AI technology was used in daily life, and believed AI technology to be a significant improvement in healthcare were more at ease with the medical use of AI (Armero et al., 2022). Participants with existing health data collecting experiences with devices, such as a smartwatch, band, bracelet, glasses, or fitness trackers have been chosen as the sample. These high-tech devices can instantly measure and report many things about individuals. These participants have been deliberately chosen because they can get a clear picture of their health, including their real-time heart rate, blood pressure, sleep time and quality, activity tracker, body mass index, and calories spent. Since many features of these people have become measurable, they have been asked how they would like this data to be used by AI technology.

The data has been collected from 432 participants.
DOI: 10.17632/8885sc9p4z.1
title: Comprehensive Facial Thermal Dataset

description: The dataset comprises 2250 thermal images obtained using a UNI-T UTi165A camera specifically for face detection, recognition, and emotion analysis purposes. Each individual in the dataset is represented by 225 facial recognition images and 450 emotion-specific images (including happy, sad, angry, normal, and surprised expressions). 

Spanning diverse conditions, color palettes, shooting angles, and zoom levels, the dataset offers a temperature range of -10°C to 400°C and a resolution of 19,200 pixels. This dataset stands as a crucial asset for the advancement of thermal imaging technology, facilitating algorithmic development and benchmarking for facial recognition across varied palettes.

Moreover, it contributes significantly to the realm of facial motion recognition, fostering interdisciplinary collaborations across computer vision, psychology, and neuroscience domains. The dataset's availability promotes transparency in thermal face detection and recognition research, offering wide-ranging applications in fields such as security, healthcare, and human-computer interaction."
DOI: 10.15468/dl.djgywp
title: Occurrence Download

description: A dataset containing 2181 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus balfouriana Balf.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 2181 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009187-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/cwrd5ysmzp.1
title: Clinical course, biomarkers, management and outcomes of patients hospitalised due to COVID-19 in Colombia

description: We to analyse the clinic characteristics, risk factors and evolution of the first cohort of hospitalised patients with confirmed infection by COVID-19 in 5 Colombian institutions, through a retrospective longitudinal study.
DOI: 10.17632/hx5mp695tv.1
title: Datasets for Occupancy Profiles in Student Housing for Occupant Behavior Studies and Application in Building Energy Simulation

description: A geo-fencing app was designed and installed on the cellphones of 41 volunteer students living in student housing buildings on Clarkson University’s campus (Potsdam NY, USA). Occupants’ entering and exiting activities were recorded minutely from February 4 to May 10, 2018, with days in the semester breaks (February 21-25 and March 16-25) excluded. Five participants were excluded due to missing data. Recorded events were sorted out for each individual by the date and time of day considering 1 for ‘entered’ events and 0 for ‘exited’ events to show the probability of presence at each time of day. Accounting for excluded days (234 days with errors and uncertainties), 1,096 daily occupancy schedules were retained in the dataset. Two methods were used to analyze the dataset and derive weekday and weekend occupancy schedules. A simple averaging method and K-means clustering techniques were performed. We provide the input datasets that were used for analysis as well as the outputs of both methods. Occupancy schedules are presented separately for each day of a week, weekdays, and weekend days.
DOI: 10.15468/dl.dxu58b
title: Occurrence Download

description: A dataset listing the 28877 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "Year 2022-2023"
 ]
}

 The dataset's 28877 records were derived from 663 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009184-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/xp9sxs7tr3.1
title: Data for: Estuarine processes modify the isotope composition of dissolved riverine barium fluxes to the ocean

description: Dissolved Ba concentration and isotope composition results spanning salinity gradients across the estuarine mixing zones of the Amazon, Fly and Johor Rivers.
DOI: 10.17632/n3ctsgzdyr
title: Molecular adjustment to a social niche: Brain transcriptomes reveal divergent influence of social environment on the two queen morphs of the ant Temnothorax rugatulus

description: In this study, we experimentally disentangled the effect of queen morph and social organization by using a full-factorial design. We expected macrogynes to be well adapted to the situation of being the only queen in a colony, whereas for microgynes, this could be an unusual and potentially stressful social environment. Conversely, we predicted that macrogynes might respond to the lower level of care potentially provided in polygynous societies compared to microgynes, for whom polygyny is the typical social organization (Negroni et al., 2021). We focus here on the transcriptional activity in the brain, as the central nervous system is where information about the social environment is perceived, processed, and can lead to physiological or behavioral responses (Manfredini et al., 2022; Jernigan & Uy 2023). There is evidence that behavioral dynamics between workers and queens depend on queen morph, as trophallactic interactions with microgynes are much more frequent (Negroni et al., 2021). In addition to changes in the expression of behavioral genes, we were interested in whether the queens responded to their social environment by altering the expression of genes associated with stress, fertility, or lifespan functions. We also investigated the influence of queen form and behavioral task on brain transcriptome of workers to determine whether T. rugatulus workers from macrogynous colonies differ in brain activity and potentially behavior from those raised and living in microgynous societies.
DOI: 10.17632/t2nwpwwsmg.1
title: Experts’ Evaluation: Datasets of Rating Questionnaires for the HEUROBOX Heuristics to Evaluate Industrial Collaborative Robotic Environments

description: This study presents a dataset derived from expert evaluation aimed at assessing two aspects: (1) the usability of a newly developed set of heuristics (HEUROBOX), and (2) the relative importance of heuristic categories in evaluating collaborative robotic environments for industrial applications. The experts were carefully selected based on their expertise in various relevant fields, including collaborative robotics, human factors, biomechanics, and manufacturing. Their evaluations were obtained through the System Usability Scale (SUS) questionnaire and category-rating questionnaires, which were employed in conjunction with the Analytical Hierarchy Process (AHP) methodology. The resulting dataset was analyzed using AHP algorithms implemented in the R programming language. The transparency of both the data and the code allows design practitioners and researchers to utilize them for replication and further analysis, thereby adhering to the principles of reproducible research in the context of multiple-criteria decision analysis.
DOI: 10.17632/y53pfy4d5p.1
title: Sensitivity and specificity of timed Up & Go Test and falling risk in Chilean independent elderly.

description: Data, figures and tables for "Sensitivity and specificity of timed Up & Go Test and falling risk in Chilean independent elderly"
DOI: 10.17632/8c6g9jp4ct.1
title: Expert Opinions on Implementation of MDMA-Assisted Therapy in Europe: Critical Appraisal towards Training, Clinical Practice, and Regulation

description: Introduction: The positive results of the clinical use of MDMA in MDMA-assisted therapy (MDMA-AT) for the treatment of post-traumatic stress disorder (PTSD) call for a critical evaluation of its regulatory status within the European mental healthcare system. This is driven by the recent submission of MDMA-AT for FDA approval in the United States. Unless coordinated efforts in the European regulatory landscape start, there may be potential divergences in national regulatory strategies. Gaining insights from researchers and clinicians involved in the application of MDMA-AT may be useful to guide in discussion of factors involved in its implementation.

Method: A comprehensive invitation-only survey was sent to researchers and clinicians involved in MDMA-AT clinical trials and contributors to the scientific literature on MDMA-AT. This study aimed to collect opinions on clinical practices, training, and regulation. 

Results: The survey, which included responses from 70 experts, yielded a range of opinions where a large majority endorsed the need for training and standardization, emphasizing equity and access, stressing impediments in the national approval processes, and reflected critically on anticipated spill-over effects of MDMA-AT in clinical settings.

Conclusion: The experts highlight the need for science-informed policy development, active regulatory involvement, international cooperation to incorporate MDMA-AT into the European mental healthcare system in general and the treatment of PTSD in particular. The study emphasizes the importance of ongoing research, open professional discourse, and collaborative engagement to facilitate MDMA-AT's ethical and effective implementation.
DOI: 10.17632/srgjgd5k8x.1
title: CSC Survey

description: Data from community sport club survey.