cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/mbwxy48223
title: DigitalExposome: A Dataset for Wellbeing Classification using Environmental Air Quality and Human Physiological data

description: The DigitalExposome dataset is a comprehensive collection of multi-sensor data designed to explore the relationship between urban environmental factors and human wellbeing. A total of 42, 437 samples were collected from 40 participants who undertook the experiment. 


Key features of the DigitalExposome dataset include:

Environmental Data: This includes measurements of air pollutants (e.g., Particulate Matter (1.0, 2.5 & 10), Carbon Monoxide, Ammonia, Nitrogen Dioxide and noise levels. These environmental factors are crucial for assessing the impact of pollution and other urban stressors on health.

Physiological Data: The dataset captures a range of physiological responses using an E4 Empatica, including Electrodermal Activity (EDA), Heart Rate (HR), Heart Rate Variability (HRV), and other indicators such as Blood Volume Pulse (BVP). These signals provide insights into the body’s responses to environmental stressors.

Perceived Wellbeing Data: The dataset comprises self-reported responses from participants regarding their overall wellbeing, capturing their emotional and mental states in response to various environmental exposures. Wellbeing was assessed using a 5-point Likert scale, where participants rated their feelings from 1 (very negative) to 5 (very positive). This scale provides a structured way to quantify subjective experiences, allowing researchers to analyse trends in emotional valence (e.g., positive or negative feelings) across different conditions. 

The dataset was developed as part of the DigitalExposome framework, which integrates data from multiple sources, including environmental sensors, physiological sensors, and self-reported wellbeing responses. This framework aims to provide a deeper understanding of how urban exposures—such as air pollution, noise, and other environmental stressors can impact individual health and wellbeing. 

The three data collection devices operated at different sampling rates, which has been accounted for in the processing stage. After data collection and integration, the combined dataset from 40 users has been normalised and prepared for analysis. The physiological data recorded by the E4 Empatica included Heart Rate (HR) at 1Hz, ElectroDermal Activity (EDA) at 4Hz, and Blood Volume Pulse (BVP) at 64Hz. Heart Rate Variability (HRV), instead of being recorded at a fixed rate, was provided as a sequence of time intervals between detected heartbeats. Environmental air quality data was sampled at 0.2Hz. To ensure uniformity across all data sources, physiological data from the Empatica device was downsampled to 1Hz to align with HR measurements. Similarly, environmental data was upsampled to match the physiological data rate of 1Hz. Additionally, self-reported mental wellbeing data collected via smartphone was extracted and upsampled to 1Hz to maintain consistency with both the environmental and physiological datasets.
DOI: 10.6084/m9.figshare.24265534.v1
title: Gene expression profile of CTLL-2 cells infected with T.marneffei.csv

description: Here, we delineate the gene expression profile of <i>T. marneffei</i> infection in CTLL-2 cells. Initially, a co-culture system was established between kupffer cells and CTLL-2 cells, and an infection model was created using <i>T. marneffei</i>. Based on whether PD-L1 inhibition was administered, the infection model was divided into an Isotype control group and a PD-L1 inhibitor-treated group. CTLL-2 cells were harvested 48 hours after infection, and RNA-seq analysis was conducted. Reads were obtained from the sequencing machine and further filtered to obtain high-quality clean reads. Paired-end clean reads were mapped to the reference genome, and the read counts for each individual gene were calculated.
DOI: 10.6084/m9.figshare.29110145.v1
title: Online Survey Results Phase 1.xlsx

description: This study aimed to investigate chronic stress levels among undergraduate students at Wilfrid Laurier University’s Waterloo campus, focusing on mental health service utilization, examining factors contributing to chronic stress, and assessing the accessibility of the university's Student Wellness Centre website for students struggling with chronic stress.
DOI: 10.17632/rhgk26ngs8
title: Data for the multi-depot vehicle routing problem with profit fairness

description: This data is generated in order to investigate the multi-depot vehicle routing problem with profit fairness (MDVRP-PF), a bi-objective optimization problem that adds a fairness objective function to the classical cost minimization function. By studying the MDVRP-PF , we explore the effects of integrating fairness in the optimization process.In order to perform the desired experiments, artifcial MDVRP-PF instances are generated. These instances represent different configurations that could be suitable for carrier coalitions, especially with respect to customer locations and stand-alone revenue share of each carrier. In this sense, we differentiate between two types of customer locations (clustered vs. uniform) and two types of initial revenue share distribution (balanced vs. unbalanced). In clustered instances customers are placed closer to the depots of the carriers, while being randomly located in the uniform type. Both types represent possible realistic situations, where partners are located in different distant industrial/commercial regions or within the same urban area. Regarding revenue share, in balanced instances, all carriers contribute a similar amount of revenue. Contrarily, in unbalanced instances, notable differences exist in the initial revenues contributed by each carrier. For each pair of location-revenue share configurations (from now on coded as C B, C U, U B and U U), we generate a set of instances. Each set contains three instances of different sizes: 2 depots and 100 customers (2D 100C), three depots and 150 customers (3D 150C), and four depots and 200 customers (4D 200C). To keep simplicity of the experiments, all customers have the same demand (10) and the same revenue (100).
DOI: 10.17632/txfn2hsy7h
title: An empirical study on the effect of PNF training on the recovery of patients with medial collateral ligament injury：Randomized controlled trial

description: This study aims to investigate the effects of combining medial collateral ligament (MCL) reconstruction surgery with proprioceptive neuromuscular facilitation (PNF) training on knee joint function and rehabilitation outcomes. Based on these findings, relevant clinical recommendations are proposed.
DOI: 10.6084/m9.figshare.17406389.v1
title: Seismic_data_from_SubMachine

description: Cross-section seismic data of 17 global S-wave models downloaded from SubMachine. Coordinate of these cross-section were also provided.
DOI: 10.6084/m9.figshare.21295212.v1
title: Supplementary Material for: PD-1/CTLA-4 blockade leads to expansion of CD8+PD-1int TILs and results in tumor remission in experimental liver cancer

description: Background: Checkpoint inhibitors act on exhausted CD8+ T cells and restore their effector function in chronic infections and cancer. The underlying mechanisms of action appear to differ between different types of cancer and are not yet fully understood. Methods: Here, we established a new orthotopic HCC model to study the effects of checkpoint blockade on exhausted CD8+ tumor-infiltrating lymphocytes (TILs). The tumors expressed endogenous levels of HA, which allowed the study of tumor-specific T cells Results: The induced tumors developed an immune-resistant TME in which few T cells were found. The few recovered CD8+ TILs were mostly terminally exhausted and expressed high levels of PD-1. PD-1/CTLA-4 blockade resulted in a strong increase in the number of CD8+ TILs expressing intermediate amounts of PD-1, also called progenitor-exhausted CD8+ TILs, while terminally exhausted CD8+ TILs were almost absent in the tumors of treated mice. Although transferred naïve tumor-specific T cells did not expand in the tumors of untreated mice, they expanded strongly after treatment and generated progenitor-exhausted but not terminally exhausted CD8+ TILs. Unexpectedly, although progenitor-exhausted CD8+ TILs mediated the anti-tumor response after treatment with minimal changes in their transcriptional profile. Conclusion: In our model, few doses of checkpoint inhibitors during the priming of transferred CD8+ tumor-specific T cells were sufficient to induce tumor remission. PD-1/CTLA-4 blockade neither reinvigorated the effector function of CD8+PD-1high TILs nor changed the functionality of CD8+PD-1int TILs. Therefore, PD-1/CTLA-4 blockade has an ameliorative effect the expansion of recently primed CD8+ T cells while preventing their development into CD8+PD-1high TILs in the TME. This finding could have important implications for future T cell therapies.
DOI: 10.6084/m9.figshare.22117004.v1
title: Model Trained by Children’s Dental Panoramic Radiographs Dataset

description: Model Trained by Children’s Dental Panoramic Radiographs Dataset
DOI: 10.6084/m9.figshare.6839918.v2
title: Code and data to reproduce "When can competition and dispersal lead to checkerboard distributions?"

description: Code and data to reproduce:<br>&gt; Dallas,TA, B Melbourne, and A Hastings 2018. "When can competition and dispersal lead to checkerboard distributions?" Journal of Animal Ecology <br><br>
DOI: 10.6084/m9.figshare.21674462.v2
title: Data table 3 - Detailed information of the rare and Pathogenic/Likely pathogenic variants found in the cohort

description: Objectives: Inborn error of immunity (IEI) comprises a broad group of inherited immunological disorders that usually display an overlap in many clinical manifestations challenging their diagnosis. The identification of disease-causing variants comprises the gold-standard approach to ascertain IEI diagnosis. The efforts to increase the availability of clinically relevant genomic data for these disorders constitute an important improvement in the study of rare genetic disorders. This work aims to make available whole-exome sequencing (WES) data of Brazilian patients' suspicion of IEI without a genetic diagnosis. We foresee a broad use of this dataset by the scientific community in order to provide a more accurate diagnosis of IEI disorders.Data description: Twenty singleton unrelated patients treated at four different hospitals in the state of Rio de Janeiro, Brazil were enrolled in our study. Half of the patients were male with mean ages of 9±3, while females were 12±10 years old. The WES was performed in the Illumina NextSeq platform with at least 90% of sequenced bases with a minimum of 30 reads depth. Each sample had an average of 20,274 variants, comprising 116 classified as rare pathogenic or likely pathogenic according to ACMG guidelines. The genotype-phenotype association was impaired by the lack of detailed clinical and laboratory information, besides the unavailability of molecular and functional studies which, comprise the limitations of this study. Overall, the access to clinical exome sequencing data is limited, challenging exploratory analyses and the understanding of genetic mechanisms underlying disorders. Therefore, by making these data available, we aim to increase the number of WES data from Brazilian samples despite contributing to the study of monogenic IEI-disorders. <br>
DOI: 10.6084/m9.figshare.24317230.v2
title: Test Cases for Reliability-Based Planning of Cable Layout for Offshore Wind Farm Electrical Collector System Considering Post-Fault Network Reconfiguration

description: This is the dataset for the paper 'Reliability-Based Planning of Cable Layout for Offshore Wind Farm Electrical Collector System Considering Post-Fault Network Reconfiguration'.
DOI: 10.17632/44yzy7vy5h
title: Dataset on the questionnaire-based survey of higher-education student preference on distance education classes during the COVID-19 pandemic.

description: The data set contains data collected by an online questionnaire. The questionnaire inquired about design students’ preferences regarding distance education formats (distance, in-person, or a combination of both). It was conducted with students (n=279) from a bachelor’s degree in design at a University in Portugal during the first COVID-19 lockdown period.
The questionnaire explored the issue by inquiring students about four types of classes (project, drawing, theoretical-practical, and theoretical) and comparing the students’ enrolment years.
The survey collected data online using an anonymized questionnaire. This questionnaire was available via an online link sent to the students by email (including first, second, and third-year students) enrolled in the course during the Covid-19 lockdown period (including the 2019-20 and 2020-21 academic years). The survey included 279 participants from 794 students; the sample represents 35% of the total. The average age of the participants was 22,2.
The results show that design students prefer in-person formats, and preference for in-person educational formats increases for project-based and drawing types of classes; furthermore, preference for in-person educational formats is higher in second and third-year students than in first-year ones. The results have serious implications for design education: the typical design educational setting may require specific formats for distance education to offer students a satisfactory pedagogical experience.
The dataset is available as a Microsoft Excel file (.xlsx) and a .CSV file, which most data upload interfaces should support. The questionnaire’s questions are available as a .PDF file. The data can be used to understand higher-education student preferences regarding distance educational formats.
DOI: 10.4121/uuid:dd79e77b-8b76-4350-8367-79b64aaff826
title: North Sea Infrastructure

description: The data covers the geographical North Sea and is made up of GIS layers concerning infrastructure; offshore EEZ borders, blocks allocated for petroleum exploration, oil & gas installations, cables, cable landings, pipelines, windpark areas, dedicated shipping routes and Marine Protected Areas (UK)
DOI: 10.6084/m9.figshare.13551170.v1
title: Perceptions of PrEP risk compensation amongst MSM

description: Qualitative interviews for project: Perceptions of PrEP risk compensation amongst MSM
DOI: 10.6084/m9.figshare.14222438.v1
title: Physiological and morphological data for C. newmannii

description: Physiological and morphological measurments of Cacosceles newmannii. Individuals involved in behavioral experiments are shown in bold.<br>
DOI: 10.6084/m9.figshare.20583558.v5
title: China Urban Lake Dataset (CULD)

description: A high-resolution circa-2020 map of urban lakes ( ≥0.001 km<sup>2</sup>) in China. The 10-m-resoultion Sentinel-2 imagery as well as a simple but robust water extraction method were used to generate waterbodies in China on Google Earth Engine. After initially filtering out urban water bodies based on the spatial relationships with urban area boundary, we combined high-resolution historical imagery to manually remove non-lake waters such as rivers and paddy fields, and to edit and supplement the missing urban lakes separately. The accuracy of our dataset was evaluated in terms of both area and count of lakes by comparing with manually vectorizing results in randomly sampled urban units. The results showed that our dataset is highly accurate and trustworthy, with the averaged accuracy of 81.85% in area and 93.35% in count.
DOI: 10.6084/m9.figshare.23600310.v4
title: Repurposing Public 23Q2

description: This data release contains the most recent PRISM Repurposing screens: Repurposing-1M. All Repurposing-1M [REP1M] compounds (1280 REP1M) were screened in the PRISM assay at a dose of 2.5 μM with a 5-day treatment against 906 cancer cell lines (859 of them passed quality checks -QC- for all tested compound with two high quality replicates). Two PRISM cell line collections were used in the assay: PR500A, which includes only adherent cell lines, and PR500B, which has adherent and suspension cell lines. Together, these PRISM cell line collections form the PR1000 cell line collection. All compounds were run in triplicate, and each plate contained positive (Bortezomib, 20μM) and negative (DMSO) controls. The screen can be considered an extension of the PRISM Repurposing Primary Screen, with PR500A mainly covering the existing cell line panel, while PR500B extends the cell line collection with new subtypes and lineages. For the assay details, please refer to Corsello et al., 2020 (doi.org/10.1038/s43018-019-0018-6) and https://www.theprismlab.org.
DOI: 10.6084/m9.figshare.3830010.v2
title: scikit-learn rcv1 dataset lyrl2004_vectors_train.dat.gz

description: Part of the rcv1 dataset used in scikit-learn
DOI: 10.25405/data.ncl.28691234.v1
title: Raw accelerometer data sampled from a Pebble Watch

description: 918,150 samples of accelerometer data recorded from a Pebble Smart Watch. The data is in CSV format.The first field of each line is a time-stamp in UNIX epoch format with millisecond resolution. There then follows ten readings, each consisting of four fields: the X, Y and Z axis values, and the vibration sensor value (0 for off, 1 for on). The ten readings are followed by 11 padding fields consisting only of zeroes.The unit for the accelerometer values is thousandths of the gravitational constant G, with minimum/maximum values of -4000/4000 (range -4G to 4G).The data was captured by Peter Michalák for his own PhD work and was graciously shared with me for mine.This work is supported by the Engineering and Physical Sciences Research Council, Centre for Doctoral Training in Cloud Computing for Big Data (grant number EP/L015358/1) and the Digital Catapult Teaching Grant Award (KH161118).<br>
DOI: 10.34740/kaggle/dsv/12021941
title: Egypt Gold Prices | Daily Updated
DOI: 10.17605/osf.io/uf9av
title: Relationship between level of Poverty and Avoidable Death in two european subsets of countries

description: This study examines the potential relationship between the level of poverty and social exclusion and avoidable death rates in two European country subsets: three countries from Western Europe (Italy, Germany, France) and the so-called "Visegrád" or "V4" countries (Hungary, Poland, Czechia, Slovakia). This paper employs data from 2015 to 2021 to examine trends in the variables under investigation, test hypotheses, and discuss the sociopolitical implications. The findings reveal significant disparities between the subsets and a moderate negative correlation between healthcare expenditure and avoidable deaths, thereby underscoring the role of systemic factors in shaping health outcomes.
DOI: 10.6084/m9.figshare.17209199.v1
title: NCT05133557-Final Raw Saliva and Chip Data.xlsx

description: Dataset associated with "Effects of Chewing Gum Containing Freeze-Dried Blackberry Powder on Oral Microbiota: A Randomized Controlled Crossover Trial"
DOI: 10.6084/m9.figshare.17212856.v1
title: Data used to create figures

description: All datasets used to create graphs and charts for ALMA paper<br>
DOI: 10.17632/khvrxvj27c
title: Source Data of “Impact-induced ultra-high melting point oldhamite discovered in Chang'E-6 lunar soil”

description: Source Data of “Impact-induced ultra-high melting point oldhamite discovered in Chang'E-6 lunar soil”
DOI: 10.6084/m9.figshare.12568607.v1
title: Dataset for Inexpensive, Non-invasive Biomarkers Predict Alzheimer Transition using Machine Learning Analysis of the Alzheimer’s Disease Neuroimaging (ADNI) Database

description: Data supplementing the information found in "Inexpensive, Non-invasive Biomarkers Predict Alzheimer Transition using Machine Learning Analysis of the Alzheimer’s Disease Neuroimaging (ADNI) Database" (Beltran et al 2020)
DOI: 10.6084/m9.figshare.19766653.v1
title: Supplementary Tables for "A genome and gene catalogue of glacier microbiomes"

description: Supplementary Table file for the manuscript "A genome and gene catalogue of glacier microbiome". The file contains nine supplementary tables Table S1 Currently available glacial metagenome projects Table S2 Characteristics of the metagenome-assembled genomes and cultivated isolate genomes in the Tibetan glacier genome and gene catalogue Table S3 Information on the genomes of the cultivated isolates Table S4 Improvement in read mapping rate by using the tibetan glacier genome and gene catalogue Table S5 Number of relative abundances of biosynthetic gene cluster in each phylum Table S6 Sequence identity comparison of virulence factors in genomes of the Tibetan glaciers and other environments Table S7 The numbers of plasmid or phage contigs carrying toxin genes Table S8 Characteristics of the additional metagenome-assembled genomes from the Alps and the Arctic glaciers Table S9 Detailed glacial sample information. <br>
DOI: 10.6084/m9.figshare.27051424.v2
title: Audio Datasets of belt conveyor rollers in mines

description: The dataset for this project comprises audio recordings of the operational states of belt conveyor rollers in a mining environment, covering three conditions: normal roller operation, roller shell cracking, and roller breakage. Combined with machine learning models, this dataset can be used for real-time diagnosis of roller operational states. The database contains two main folders: <b>dataset</b> and <b>code</b>.The dataset folder includes three subfolders:<b>wav: </b>Contains 19 WAV files recorded from 19 microphones, capturing the audio data of belt conveyor rollers in a mining site. Of these, 17 files represent normal roller operation, 1 file captures the audio of a roller with shell cracking, and 1 file captures the audio of a roller with complete breakage.<b>csv_dataset: </b>Contains 10 subfolders, each representing audio feature datasets extracted from the WAV files with frame lengths ranging from 100ms to 1000ms. Each subfolder contains 19 CSV files, corresponding to the 19 audio recordings. The feature datasets within different frame-length subfolders should not be used interchangeably.<b>test_dataset:</b> Contains 17 audio feature datasets with a 200ms frame length. These datasets include features from 17 normal operation recordings combined with features from the roller shell cracking and roller breakage recordings. The combined datasets are shuffled 100 times to ensure even distribution of features from each operational state. This dataset was used for validating the accuracy and usability of the audio feature datasets for real-time monitoring of roller states in the paper.The code folder contains two sets of code:<b>Matlab Code: </b>This code extracts 25 audio features from the WAV files and generates the 17 audio feature datasets using a 200ms frame length.<b>Python Code: </b>This code validates the accuracy and usability of the audio feature datasets in real-time monitoring of belt conveyor roller operational states.This dataset and code combination supports the real-time diagnosis of belt conveyor roller conditions and provides a foundation for validating the effectiveness of audio features in fault detection.