cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.24385/lincoln.26394664.v2
title: VR Study: Relevant Data

description: Presence, immersion, and personality predict a change in mood and the social experience of a virtual reality Western art music concert
  
Previous research has found that digital engagement with Western art music concerts does not elicit a social experience to the extent that live presentations achieve. Virtual reality (VR) is increasingly being used in various sectors to mitigate limitations since it can create a more immersive and active experience for users. While the technology has been used extensively by the games industry, and received significant attention from ludologists, it has not permeated into the music industry in the same way, and certainly not the Western art music market. We sought to explore the predictors of the social experience of virtual reality presentations of a Western art music concert.
We used a pragmatic, mixed methods approach to collect the data. 50 participants were presented a monoscopic 360° VR recording of a string quintet concert. Social Experience of a Concert Scales (SECS) captured the social experience of participants, and the PANAVA to measure change in mood, in addition to the multimodal presence scale (MPS), and Big Five Personality Inventory. Supplementary open questions were included to more generally explore the participants’ experience of engaging with the VR concert. 
The results suggest that openness to new experiences predicts an increase in positive activation and a decrease in negative activation, and extraversion predicts an increase in valence. Social and physical presence predict the extent to which the concert provided a social experience, based on the MPS and SECS. Many of our findings on the effect of personality on the social experience have replicated the results of previous research, what is novel about our findings is that they replicate these relationships in a virtual setting.
DOI: 10.6084/m9.figshare.17056304.v1
title: Social media and political consumerism in Canada

description: Survey data about the relationship between social media and political consumerism in Canada collected in Sept-Oct 2019.
DOI: 10.6084/m9.figshare.24147708.v1
title: Content Analysis of Whistleblowing Policies of Nigerian Companies

description: Content analysis of the whistle-blowing policies of sampled Nigeria quoted companies. Data describes features of what the whistle-blowing policies of Nigerian companies hold.
DOI: 10.1594/pangaea.116089
title: Total carbon dioxide and total alkalinity at station TT043_28-22
DOI: 10.17632/d7xvd77rfp
title: Data for: High-performance epoxy/binary spherical alumina composite as underfill material for electronic packaging

description: Flowability of EP-S-Al2O3 binary composite; AC conductivity, thermal conductivity and shear viscosity of EP-S-Al2O3 binary composites.
DOI: 10.17632/gxkyjj9kp7
title: Spatial Spectrum Analyzer (SSA): A tool for calculations of spatial distribution of fast Fourier transform spectrum from Object Oriented Micromagnetic Framework output data

description: Abstract We present a tool for calculations of Fourier transform spatial distribution taken from magnetization dynamics simulated in Object Oriented Micromagnetic Framework (OOMMF). In OOMMF, as well as in other popular micromagnetic software, output data is organized as magnetization vectors from each simulation cell written down to separate file for each simulation step. Therefore, we use parallel computations to reorganize data in files containing time evolution for each cell. Fast Fourier transfor... Title of program: Spatial Spectrum Analyzer (SSA) Catalogue Id: AEUU_v1_0 Nature of problem Numerous dynamic problems of ferromagnetic structures can be investigated by micromagnetic simulations using The Object Oriented MicroMagnetic Framework (OOMMF). However, large amounts of OOMMF output data (typically magnetization configuration files take up several gigabytes for few nanoseconds simulation, depending on the structure size) are difficult to process because of being stored in separate files for each simulation step. In particular, for the Fourier Transform (FT) purposes data from ... Versions of this program held in the CPC repository in Mendeley Data AEUU_v1_0; Spatial Spectrum Analyzer (SSA); 10.1016/j.cpc.2014.10.027 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/hvc7smjjb7
title: The Nutrition System for Dairy Cattle (NS Dairy Cattle): A Model of Energy and Nutrients Requirements and Diet Evaluation for Dairy Cattle

description: Nutrient Requirements of Dairy Cows, based on the NS Dairy Cattle Model.
Calculator. 
Submodels include: dry matter intake; drinking water intake; energy requirements; protein requirements; mineral requirements; vitamin recomendations; methane enteric emission; and nitrogen and phosphorus excretions.
Version 5.0. Updated November 17, 2024.

Author Prof. André Soares de Oliveira 
Dairy Cattle Research Laboratory
Federal Universitity of Mato Grosso - Sinop
e-mail: andre.oliveira@ufmt.br
DOI: 10.4121/uuid:d9769f3d-0ab0-4fb8-803b-0d1120ffcf54
title: Real-life event logs - Hospital log

description: Real life log of a Dutch academic hospital, originally intended for use in the first Business Process Intelligence Contest (BPIC 2011)
DOI: 10.6084/m9.figshare.17427359.v2
title: Masuoka et al., 2022, Insects: Data S1. Out put raw data of co-expression network analysis using networkz.

description: Out put raw data of co-expression network analysis using networkz. This data is consist of componentID, communityID, and degree number of each transcript.
DOI: 10.6084/m9.figshare.25426141.v2
title: TSL_QM_figdata.zip

description: raw data for figures in manuscript
DOI: 10.6084/m9.figshare.26063857.v3
title: <b>Ecosystem stability, complexity and function in real food webs</b>

description: Marine ecosystems are vulnerable to environmental perturbations and regime shifts are often detected due to the loss of stability. Yet, the driving factors for the marine ecosystem stability in a global scale are still unknown. Here, using EwE food web models of 171 marine ecosystem data across the globe ocean, we quantified different dimensions of stability (resistance, resilience, and variability) and investigated the key drivers of marine ecosystem stability with machine learning method. Difference for stability metrics in habitats and their correlations revealed the multidimensionality of marine ecosystem stability. Random forest regression models showed that species richness and fishing stand out as the two most important factors for marine ecosystem stability. Specifically, we found that species richness underpins marine ecosystem configurations by strengthening resistance, resilience, and temporal stability (i.e. weakening variability), while fish exploitation weakens resistance and temporal stability. This study helps improve the understanding of what enhances stability in marine food webs from a causal perspective and, thus, helpful for restoration and management of marine ecosystems under future anthropogenic pressures.
DOI: 10.6084/m9.figshare.28447751.v4
title: Source data for figures 2-4 and table 1 for the paper entitled - "It's About Time – Breathing Dynamics Modulate Emotion and Cognition"

description: This repository contains the source data for figures 2-4 and table 1 from the manuscript entitled "It's About Time – Breathing Dynamics Modulate Emotion and Cognition" authored by Josh Goheen, Yasir Catal, Imola MacPhee, Tyler Call, Cameron Carson, Reem Ali, Rabeaa Khan, Kareen Weche, John A.E. Anderson, and Georg Northoff<br>
DOI: 10.17632/962ff255wh
title: LC-MS/MS measurements of ketoacids isotopologues distribution in HeLa cells after 1 day of intramitochondrial pyruvate influx by Grubraw

description: We analysed 13C metabolic inclusion into ketoacids in HeLa cell lines stably expressing Pseudomonas aeruginosa DadA (FAD-dependent D-amino acid dehydrogenase) gene with mitochondrial targeting (named Grubraw) after the addition of 12C D-alanine comparing to no D-alanine. We used HeLa with functional DadA and mutated DadA for control. In cells expressing functionally active DadA, D-alanine generates additional influx of intra-mitochondrial pyruvate. If cells grows on labelled carbone source and unlabeled D-alanine is used, this upcoming pyruvate shifts original mass-isotopologue distribution that can be registered by LC-MS. 

Our cells were cultured for in a medium with labeled glucose or glutamine. To obtain current data, we changed growth media to pure one, added D-alanine, and incubated cells under these conditions for 24 hours before extraction. Using this scheme, we focused on a long-time effects of Grubraw activation.

We publish original RAW data from Orbitrap mass-spectrometer of intra- and extracellular ketoacid analysis. In “G” folders we put experiments with 1,2-[13]C-glucose and unlabelled glutamine. In “Q” folders, there are measurements with 5-[13]C-glutamine and unlabelled glucose. All files are named in a similar way. C12/C13 in the beginning indicates using of isotopically labeled carbon source or non-labeled one. “M”/“D” at the second position indicate using a cell line with mutated (M) or functional (D) DadA. “Plus”/“minus” indicates the addition of D-alanine. First number is a biological replicate, second number - technical replicate.
DOI: 10.17632/gx39r48w3b
title: Data repository for 'Shape perception via a high-channel-count neuroprosthesis in monkey visual cortex'

description: Refer to Science article: Chen et al. Shape perception via a high-channel-count neuroprosthesis in monkey visual cortex. 2020
DOI: 10.6084/m9.figshare.10305542.v1
title: LB 23 y LB 24 RAW (2).zip

description: 476421 LB 23 y LB 24 RAW
DOI: 10.6084/m9.figshare.19430353.v2
title: The recognition of spoken pseudowords

description: Pseudowords are used as stimuli in many psycholinguistic experiments, yet they remain largely under-researched. To better understand the cognitive processing of pseudowords, we analysed the pseudoword responses in the Massive Auditory Lexical Decision megastudy data set. Linguistic characteristics that influence the processing of real English words – namely, phonotactic probability, phonological neighbourhood density, uniqueness point, and morphological complexity – were also found to influence the processing time of spoken pseudowords. Subsequently, we analysed how the linguistic characteristics of non-unique portions of pseudowords influenced processing time. We again found that the named linguistic characteristics affected processing time, highlighting the dynamicity of activation and competition. We argue these findings also speak to learning new words and spoken word recognition generally. We then discuss what aspects of pseudoword recognition a full model of spoken word recognition must account for. We finish with a re-description of the auditory lexical decision task in light of our results.
DOI: 10.6084/m9.figshare.25112027.v1
title: Modelo de evaluación CPR

description: This is a model for a study desing collaborated with CPR-Extremadura
DOI: 10.6084/m9.figshare.27145398.v1
title: PRISMA-P-SystRev-checklist Barrett_011024.docx

description: PRISMA-P checklist to accompany a systematic review of hypertensive disorders of pregnancy and long-term risk of maternal retinal disease
DOI: 10.1594/pangaea.116043
title: Total carbon dioxide and total alkalinity at station TT043_10-3
DOI: 10.1594/pangaea.116219
title: Total carbon dioxide and total alkalinity at station TT049_9-6
DOI: 10.17632/tk3ds9x7gc
title: Bimekizumab efficacy and safety in patients with moderate to severe plaque psoriasis: two-year interim results from the open-label extension of the randomized BE RADIANT phase 3b trial - Supplementary Materials

description: Supplementary Materials for the manuscript titled 'Bimekizumab efficacy and safety in patients with moderate to severe plaque psoriasis: two-year interim results from the open-label extension of the randomized BE RADIANT phase 3b trial'.

Includes demographics and baseline characteristics for the patient groups included in the manuscript (Supplementary Table 1), an overview of the efficacy outcomes included in the manuscript using different imputation methods for missing data (Supplementary Table 2), a patient disposition flow chart (Supplementary Figure 1), PASI ≤2 and PASI 90 response rates over Weeks 0–96 (Supplementary Figure 2 and Supplementary Figure 3), and supplementary methods describing the adjudication of certain treatment-emergent adverse events in this study (Adjudication of TEAEs).
DOI: 10.6084/m9.figshare.25534003.v1
title: Routine logistic regression

description: <b>Background:</b> Vulnerable populations experience exacerbated mental health issues due to their social circumstances, further exacerbated by the COVID-19 pandemic. Therefore, the aim of this study was to investigate self-perceived mental health and social inequality among individuals residing in Brazilian slum and urban communities during the COVID-19 pandemic. <b>Methods:</b> This was a cross-sectional, descriptive-analytical study. A validated instrument was used, administered by equally trained field interviewers. Descriptive analyses and binary logistic regression were conducted to identify clinical and sociodemographic variables associated with self-perceived mental health. <b>Results:</b> A total of 1,319 individuals residing in Brazilian slum and urban communities participated in the study. Through binary logistic regression, it was observed that individuals with informal employment, earning less than a minimum wage, reported poorer mental health status. They were also more likely to feel sadder, more discouraged, and more overwhelmed. Additionally, there was an increase in cigarette consumption and antidepressant use. In conclusion, the results revealed an association between informal employment, low income, and adverse mental health outcomes. <b>Conclusions:</b> Addressing mental health disparities in this demographic group is crucial for implementing and planning specific interventions for this population, such as improving job security and providing mental health support services<br>
DOI: 10.6084/m9.figshare.25815766.v1
title: <b>Single-nucleus transcriptome unveils the role of ferroptosis in ischemic stroke</b>

description: <b>Single-nucleus transcriptome unveils the role of ferroptosis in ischemic stroke</b>
DOI: 10.6084/m9.figshare.28955378.v1
title: Source_data_for Combination therapy with cetirizine and anti-PD-1 antibody suppresses colitis-induced colon tumor formation in mice

description: This dataset supports the findings presented in the following publication:<br>Combination therapy with cetirizine and anti-PD-1 antibody suppresses colitis-induced colon tumor formation in mice<br>Authors: Y. Maruyama, et al.<br>Journal: European Journal of Pharmacology, 2025. DOI: https://doi.org/10.1016/j.ejphar.2025.177704Abstract:<br>Immune checkpoint inhibitors (ICIs) have transformed cancer therapy, yet their efficacy remains limited in inflammation-associated tumors, necessitating combinatorial approaches. Although combinations with cytotoxic or targeted agents are well established, the therapeutic potential of non-oncologic drugs, such as antihistamines, is less explored. In this study, we investigate whether cetirizine, a non-sedating histamine H1 receptor antagonist, enhances the antitumor effects of anti-programmed cell death protein 1 (PD-1) antibody in a murine model of colitis-associated colorectal cancer. Combination therapy, not monotherapy, significantly reduced tumor volume in vivo. Flow cytometry of splenocytes revealed increased PD-1 expression on T cells only in the combination group, suggesting systemic immune activation. Immunohistochemical analysis showed elevated CD3⁺ T-cell infiltration into tumors following combination treatment. Meanwhile, gene expression analysis of tumor tissues revealed downregulated Vegfa, Mmp9, Il10, and Cd80, along with upregulated Hspg2 and Fn1, suggesting a shift in the tumor microenvironment. In vitro, cetirizine suppressed Mmp9 expression in CT26 cells, Il10 in macrophages, and Vegfa in human umbilical vein endothelial cells, indicating cell-type-specific effects that partially mirror the in vivo findings. Immunohistochemistry further demonstrated a reduced frequency of FoxP3⁺ regulatory T cells among CD3⁺ T cells within the tumor stroma in the combination group. Collectively, these findings indicate that cetirizine enhances ICI efficacy by reshaping the tumor microenvironment through immunomodulatory mechanisms. Our results support the repurposing of antihistamines as a novel strategy to improve cancer immunotherapy.
DOI: 10.6084/m9.figshare.3394735.v1
title: Height of ice hockey players

description: Ice hockey players at IIHF world championships, 2001-2016<br>
DOI: 10.1594/pangaea.121308
title: Total carbon dioxide and alkalinity at station TT012_3-CTD3
DOI: 10.17632/vfkkjb8dv7
title: São Paulo potential version 2 (SPP2) and Brazilian nuclear potential (BNP)

description: The REGINA code calculates the São Paulo potential version 2 (SPP2) and the Brazilian nuclear potential (BNP). The code also provides nuclear densities obtained from the Dirac-Hartree-Bogoliubov model, which are used to calculate the nuclear potentials. Elastic scattering cross sections are obtained within the context of the optical model, with different options for the real and imaginary parts of the optical potential. In this manuscript, we provide a summary of the theoretical framework and information about the use of the code.
DOI: 10.17632/yy2w57vkns
title: A druggable addiction to de novo pyrimidine biosynthesis in diffuse midline glioma. Pal et al.

description: Data related to "A druggable addiction to de novo pyrimidine biosynthesis in diffuse midline glioma "
DOI: 10.6084/m9.figshare.24592428.v2
title: NER dataset for Material Science.

description: This is a NER dataset used to train our models that are behind the CLASS MATE: Cross-Lingual Semantic Search for Material Science driven by Knowledge Graphs Language Models (https://lass-kg.demos.dice-research.org/)
DOI: 10.6084/m9.figshare.25710105.v1
title: Software Refactoring SLR Dataset Resource

description: This dataset represents the results of a Systematic Literature Review that focuses on AI in Software Refactoring.Contains: List of references with complete informationAn excel containing details in a searchable format
DOI: 10.6084/m9.figshare.28452545.v1
title: iToBoS 2024 - Skin Lesion Detection with 3D-TBP

description: <b>Title:</b> The iToBoS Dataset: Skin Region Images Extracted from 3D Total Body Photographs for Lesion Detection<b>Abstract:</b><br>The early detection of skin cancer is critical for improving patient outcomes. Traditionally, dermatologists rely on dermoscopy to examine pigmented skin lesions. While this non-invasive technique enhances diagnostic accuracy, its effectiveness is highly dependent on the clinician’s expertise. Additionally, capturing dermoscopic images for every suspicious lesion is a labor-intensive process. Given these challenges, there is an increasing need for computer-aided diagnosis (CAD) systems that utilize conventional cameras. Such systems can support general physicians and other non-specialist practitioners in identifying potential malignant lesion, improving early detection and intervention. Moreover, they facilitate longitudinal tracking of lesions, aiding researchers in studying disease progression and treatment efficacy.This dataset provides high-resolution skin patch images extracted from 3D total body photographs to support the development of advanced machine learning models for lesion detection. It serves as a valuable resource for researchers working on automated skin lesion analysis, particularly in the context of total body photography (TBP).<b>Dataset Description:</b><br>The iToBoS dataset consists of 16,954 high-resolution images of skin regions obtained from anonymized 3D avatars of patients. These avatars were generated using the Canfield VECTRA WB360 system, a cutting-edge imaging technology that captures comprehensive, full-body skin images using 92 fixed cameras arranged in 46 stereo pairs with xenon flash lighting. The images were collected from patients at two clinical sites: the Clinical Hospital of Barcelona (Spain) and the University of Queensland (Australia).The dataset provides diverse anatomical locations, including the torso, arms, and legs, with each image having an average resolution of 1012x827 pixels and a 45-pixel overlap between adjacent images. The images are extracted from 3D avatars while ensuring compliance with GDPR regulations by automatically removing patient facial features. Each image is accompanied by metadata, including patient age range, body location, and sun damage score, allowing for in-depth analysis and stratification.<b>Significance of the Dataset:</b><b>Facilitates Automated Skin Lesion Detection:</b> The dataset supports the development of AI-based lesion detection models that can improve early diagnosis of skin cancer, particularly in regions with limited access to dermatological expertise.<b>Enables Longitudinal Skin Analysis:</b> By capturing multiple scans from patients, researchers can track lesion evolution over time and assess treatment effectiveness.<b>Enhances Machine Learning Applications:</b> The dataset serves as a benchmark for developing state-of-the-art computer vision and deep learning models for detection of skin lesions.
DOI: 10.6084/m9.figshare.28805639.v1
title: eeg data

description: contains all relevant EEG data
DOI: 10.6084/m9.figshare.8217155.v1
title: dataset from TCGA

description: endometrial cancer dataset from TCGA
DOI: 10.1594/pangaea.116062
title: Total carbon dioxide and total alkalinity at station TT043_18-1
DOI: 10.1594/pangaea.116084
title: Total carbon dioxide and total alkalinity at station TT043_27-1
DOI: 10.17632/yd7x72n96h
title: Self-report 21st century skills in GameLab sessions

description: Data, results for Likert-type questionnaire asking higher education students to identify the 21st century skills they used during board games sessions.
DOI: 10.6084/m9.figshare.13186796.v1
title: Supplementary Material for: Prognostic Value of Serum Magnesium in Mortality Risk among Patients on Hemodialysis: A Meta-Analysis of Observational Studies

description: <b><i>Background:</i></b> Previous studies have reported that serum magnesium (Mg) deficiency is involved in the development of heart failure, particularly in patients with end-stage kidney disease. The association between serum Mg levels and mortality risk in patients receiving hemodialysis is controversial. We aimed to estimate the prognostic value of serum Mg concentration on all-cause mortality and cardiovascular mortality in patients receiving hemodialysis. <b><i>Methods:</i></b> We did a systematic literature search in PubMed, EMBASE, Cochrane Library, and Web of Science to identify eligible studies that reported the prognostic value of serum Mg levels in mortality risk among patients on hemodialysis. We performed a meta-analysis by pooling and analyzing hazard ratios (HRs) and 95% confidence intervals (CIs). <b><i>Results:</i></b> We identified 13 observational studies with an overall sample of 42,967 hemodialysis patients. Higher all-cause mortality (adjusted HR 1.58 [95% CI: 1.31–1.91]) and higher cardiovascular mortality (adjusted HR 3.08 [95% CI: 1.27–7.50]) were found in patients with lower serum Mg levels after multivariable adjustment. There was marked heterogeneity (<i>I</i><sup>2</sup> = 79.6%, <i>p</i> &lt; 0.001) that was partly explained by differences in age stratification and study area. In addition, subgroup analysis showed that a serum Mg concentration of ≤1.1 mmol/L might be the vigilant cutoff value. <b><i>Conclusion:</i></b> A lower serum Mg level was associated with higher all-cause mortality and cardiovascular mortality in patients receiving hemodialysis.