cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19130465.v1
title: COins database

description: COins is a database of COI-5P sequences of insects that includes over 532,000 representative sequences of more than 106,000 species specifically formatted for the QIIME2 software platform. It was developed through a combination of automated and manually curated steps, starting from insects COI sequences available in the Barcode of Life Data System selecting sequences that comply to several standards, including a species-level identification. <br> <br> <br> <br> <strong>seq-degapped.qza</strong> --&gt; reference sequences <br> <strong>taxonomy.qza</strong> --&gt; sequences taxonomy <br> <strong>Sequences_metadata1.tsv</strong> --&gt; Identification procedure of voucher specimens from which reference sequences were developed. Identification procedure is reported for each sequence included in CO<em>ins</em> (BOLD id reported in <em>BOLDid reference</em> column) and for all identical sequences within haplotypes that were removed at Step 5 of CO<em>ins</em> curation (those for which BOLD id is not available in <em>BOLDid reference </em>column). The haplotype to which each sequence belongs is reported in <em>Haplotype</em> column (haplotypes of each species are labeled with increasing numbers). Identification procedure information derived from sequences associated metadata provided by BOLD system. <br> <strong>Sequences_metadata2.tsv </strong>--&gt; Identical sequences belonging to different species present within CO<em>ins</em>. Each row represents a cluster of identical sequences associated to different species, sequences included in the cluster are labeled with species name and BOLD id. <br>
DOI: 10.6084/m9.figshare.3568830.v1
title: Appendix L. Three-dimensional models of Sequoiadendron giganteum.

description: Three-dimensional models of Sequoiadendron giganteum.
DOI: 10.6084/m9.figshare.15082125.v1
title: Supplementary Material: Money talks: Evaluating the impact of virtual incentives and monetary rewards on user engagement levels in a health promotion context

description: The ongoing increase in obesity rates suggests that incorporating more physical activity in daily lifestyles and improving dietary intake remains challenging for people. The application of mHealth interventions can be utilized to promote physical activity and improve dietary intake, especially in cases where such interventions employ incentives. These incentives are typically categorized as either non-financial (e.g., virtual) rewards, or financial rewards.<br>In this study, we evaluated the impact on user engagement levels of virtual, non-financial rewards, implemented using a point-based system, and monetary rewards. During the course of a five-week, three-arm randomized intervention trial, participants (i.e., staff members and students of a Dutch university, N = 95) engaged in a health promotion program that was designed to promote physical activity and fruit intake. Through this program, subjects were suggested to perform a set of health-related activities every week. Subjects could self-track how many times they had performed each activity, and review the activities other participants had performed. Participants in the second and third study arm received virtual points for completing the suggested activities. Moreover, participants in the third study arm received a monetary reward in the third week of the campaign.<br>Results indicated that monetary incentives can be employed effectively to engage participants in a health promotion context, with little risk of crowding effects in the short run. The introduction of point-based incentives seemed to only have a small, non-significant impact on participant engagement levels, compared to a situation without any (non-)financial incentives.<br><b>List of files</b><br>`0-intervention-design.pdf` includes visualisations of the mHealth application.<br><br>`0-list-of-variables.pdf` includes an overview of different variables within the dataset.<br>`1a-intervention-data.csv` includes data that was recorded from the intervention mHealth tool.<br>`1b-survey-data.csv` includes data that was recorded form a post-test survey.<br>`2-data-analysis.Rmd` includes the R-script that was used to perform the data analyses.<br>`2-data-analysis.pdf` is the PDF output that is produced when the R Markdown script is run.<br>`3-figures.zip` is a folder with figures (in PDF format) that are output by the R-script, and that are used in the article.
DOI: 10.6084/m9.figshare.27216426.v4
title: Mare Basalt Thickness in the Chang’E-6 Landing Region: Insights into Late-stage Volcanism in the Lunar Farside South Pole–Aitken Basin Relevant to 76 Identified Craters and their M<sup>3</sup> Spectral Data

description: Data for the manuscript submitted to GRL (i.e., Mare Basalt Thickness in the Chang’E-6 Landing Region: Insights into Late-stage Volcanism in the Lunar Farside South Pole–Aitken Basin)
DOI: 10.6084/m9.figshare.7982333.v2
title: Small molecular GAFF force field files

description: The topology files for Progesterone and Asoprisnil in Gromacs format based on Amber GAFF force field.<br>STR.itp: ProgesteroneAS0.itp: Asoprisnil
DOI: 10.6084/m9.figshare.12951845.v1
title: Consensus VCF

description: VCF file of sites called across all pipelines
DOI: 10.6084/m9.figshare.13888553.v1
title: EEG data.rar

description: Here is ERP experimental raw data.
DOI: 10.6084/m9.figshare.28919177.v1
title: A dataset on the study of aggressive driving behavior

description: The Excel file contains 5 tables:(1) Raw data.(2) Excluded Data: Remove invalid samples (e.g., short answering time or the same answer option being used throughout).(3) Data scoring conversion：complete the scoring conversion of data according to the scoring method of each indicator.(4) Data of final analysis: calculate the scores of each indicator in the DARQ and obtain the data of final analysis.Import the final data into SmartPLS 3 for calculation and analysis.(5) Scene description in DARQ.
DOI: 10.17632/4p6fv5wgxt
title: Data for The shear behaviors of natural rock joints with different roughness based on 3D scanning and 3D engraving techniques

description: Raw data for The shear behaviors of natural rock joints with different roughness based on 3D scanning and 3D engraving techniques
DOI: 10.25442/hku.29024816.v1
title: <i>Supporting data for “</i>Discovery and Engineering of Antibacterial Avi(Me)Cys-containing Cyclopeptides<i>”</i>

description: we first establish a rule-based omics mining pipeline to systematically uncover the landscape of Avi(Me)Cys-containing RiPP biosynthetic gene clusters (BGCs), followed by detailed experimental characterization and bioassay. We identify 1,172 RiPP BGCs responsible for Avi(Me)Cys-containing peptides formation from a vast pool of over 50,000 bacterial genomes. Subsequently, we successfully establish the connection between three identified BGCs and the biosynthesis of five peptide antibiotics via biosynthetic rule-guided metabolic analysis. we discover a class V lanthipeptide, massatide A, which displays excellent activity against gram-positive pathogens, with a relatively low risk of resistance and favorable safety profile, positions it as a promising candidate for antibiotic development. To further improve the druggability of massatide A, we successfully obtained twenty-six massatide A derivatives. Finally, we confirmed three candidates exhibited superior potential for antibiotic development compared to native massatide A.The dataset includes the biosynthetic gene cluster of potential ACyPs, mass analysis of three BGCs, MS data and NMR data of the newly identified compounds.
DOI: 10.6084/m9.figshare.14554137.v4
title: SDP@US1.0 - Dataset for Student Dropout Prediction

description: <b>Dataset UnitelmaSapienza - Version 1.0 (May 2021)</b><br><b><br></b><b>Description: </b>This is the dataset from the article "Hidden Space Deep Sequential Risk Prediction on Student Trajectories" by Bardh Prenkaj, Damiano Distante, Stefano Faralli and Paola Velardi (under review)<b><br></b><b><br></b><b>Disclaimer: </b>Due to privacy protection regulations, all data are aggregated and fully anonymized.<b><br></b><b><br></b><b>Dataset Description:</b><b><br></b>The zip contains 13 folders, each folder contains the timeseries (timeseries.csv) of a specific learning course from the University of Rome Unitelma Sapienza.<br>Each row of a timeseries.csv file corresponds to a student. Each column is a two dimensional numpy array, which corresponds to 365 days of interactions of the student with the e-learning platform.The last column corresponds to the probability of drop-out (see the above indicated paper for more information on how this probability is thresholded to obtain a binary ground truth).<br>This dataset can be directly used as input for the code we released at http://iim.di.uniroma1.it/projects/hsdsrpst/<br>When using this dataset in your work please cite the paper it is associated to.<br><br><b>Authors:</b>Bardh Prenkaj - Sapienza University of Rome, ItalyDamiano Distante - University of Rome Unitelma Sapienza, ItalyStefano Faralli - University of Rome Unitelma Sapienza, ItalyPaola Velardi - Sapienza University of Rome, Italy<br><br><b>License:</b>Attribution 4.0 International (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/deed.en<br>For any question regarding the dataset and the source code please contact:Bardh Prenkaj (prenkaj@di.uniroma1.it)<br>
DOI: 10.6084/m9.figshare.14671914.v1
title: Survival Analysis statistic raw data

description: Survival analysis method (Static Stretch vs. Dynamic Stretch)
DOI: 10.6084/m9.figshare.28183670.v1
title: Supplementary Data 1: Platelet mitochondrial respiratory chain activity data

description: The enzymatic activity data used in the study "<i>Platelet mitochondrial complex I and IV activities are not reliable stratification biomarkers in Parkinson’s disease</i>" by Simon Kverneng et al.
DOI: 10.17632/j5xdt8fd3s
title: A RANDOMIZED CLINICAL TRIAL OF LOW-DOSE CANNABIS EXTRACT IN ALZHEIMER’S DISEASE

description: Alzheimer's disease (AD) is closely linked to the accumulation of neurotoxins derived from Aβ and tau, as well as cognitive impairment. The premise of this project is that the imbalance in the endocannabinoid system occurs in an AD-dependent manner. The connection between dementia, inflammation, Aβ, and changes in the cannabinoid system in experimental AD models has been reported. Cannabinoid microdoses may restore baseline brain function while avoiding major side effects. Despite extensive research on new AD therapies, no significant improvement has been achieved recently, and there is virtually no consensus on how scientists will innovate to shed light on a new treatment. Currently, there are no published studies examining the effect of microdoses on human AD pathology. Cannabinoid-based therapy has emerged as crucial for treating many diseases considered incurable. The expected results of this project will provide important information on the ability of cannabinoid microdoses to offset neurochemical imbalances during AD progression, thus improving memory performance, as well as how they may affect inflammation, Aβ levels, and tau. The key point is to provide evidence that cannabinoid microdoses can serve as an effective treatment for AD while avoiding major side effects. The goal of this project is to determine the effect of cannabinoid microdoses in AD patients, with the aim of evaluating memory and cognition, assessing cerebral blood perfusion, and verifying proteins relevant to inflammation and progression associated with AD. The results are expected to establish that cannabinoid microdoses are essential to restore the baseline function of the endocannabinoid system in AD-affected brains and their beneficial effects. This project may be instrumental in validating new therapeutic approaches for AD.
DOI: 10.17632/vdbvbkmxkp
title: Effect of exogenous manipulation of glucocorticoid concentrations on meerkat heart rate, behaviour and vocal production

description: This dataset was used to analyse the effect of exogenous glucocorticoid manipulation, aiming to investigate the relationship between arousal and physiological parameters, behaviour and vocal production in wild meerkats (Suricata suricatta). To this aim, we administered glucocorticoids to wild meerkats, and recorded their heart rate, vigilance behaviour, call rate and acoustic structure during natural behavioural contexts. The results suggest that, although the glucocorticoid treatment did increase plasma glucocorticoid levels, this did not result in observable changes in heart rate, vigilance, or vocal production.

Details of the data can be found in the README.md file
DOI: 10.6084/m9.figshare.24968247.v6
title: Basel phages annotation and clusters

description: <b>Table (</b><b>Phages_annotation_and_clusters.tsv</b><b>)</b><b>:</b><br>Annotation of Basel phages using current taxonomy information (Family, Subfamily, Genus) extracted from NCBI Taxonomy (version of DATE) and ICTV (sheet 1); The clustering results (sheet 2).<b>Figure (</b><b>heatmap_Phages_clustering.pdf</b><b>)</b><b>:</b><br>Hierarchical clustering of BASEL coliphages using pairwise proteome similarity scores.<br>To cluster the phages on the basis of proteome similarity, the number of shared homologous proteins between all phage pairs were computed and normalised to the phage proteome length, and the matrix of these pairwise similarity scores were used to compute the complement symmetric proteome composition distance (PCD) matrix. Hierarchical clustering using the average-linkage method applied to the PCD matrix was used to generate the dendrogram that determines the phage groupings. Phage annotations followed the latest ICTV update<b>Rscript (</b><b>Cluster_phages_and_get_heatmaps.R):</b><br>Rscript to reproduce phages clustering and visualisation.<br>Input data: i) <b>similarity_scores_matrix.tsv</b>: a matrix with pairwise similarity scores for all phages. ii) <b>s08_descriptions_with_ICTV.tsv</b> an annotation table for the header.
DOI: 10.6084/m9.figshare.29085008.v1
title: <b>4.2.7 sentiment analysis of Reviews of LIS study materials in Hindi language</b>

description: <b>4.2.7 sentiment analysis of Reviews of LIS study materials in Hindi language</b>
DOI: 10.6084/m9.figshare.13475739.v3
title: Country-level linked sustainability challenges: data synthesis

description: This dataset is a compilation of fisheries, aquaculture, agriculture, human population and wellbeing information combined with climate change projections, biodiversity and biodiversity threat metrics, from a variety of published global model outputs and publicly available databases.<br>The data were derived and spatially mapped from a variety of sources detailed in:<br><br>Blanchard, J.L., Watson, R.A., Fulton, E.A. et al. Linked sustainability challenges and trade-offs among fisheries, aquaculture and agriculture. Nat Ecol Evol 1, 1240–1249 (2017). https://doi.org/10.1038/s41559-017-0258-8<br><br>and more information on original data sources is available from the electronic supplementary material:<br>https://static-content.springer.com/esm/art:10.1038/s41559-017-0258-8/MediaObjects/41559_2017_258_MOESM1_ESM.pdf<br><br>
DOI: 10.6084/m9.figshare.28737845.v1
title: Supporting Information S1–S10: Extracted Sections and GPT Outputs

description: This dataset includes the Supporting Information files S1 through S10, submitted with the manuscript titled:"Developing AI tools for IRB pre-review: A pilot study on ChatGPT’s accuracy and reproducibility."<br>The Excel files contain original excerpts and English translations from the clinical research protocol and ICF, as well as outputs from GPTs 1–4 and standard prompts. These materials were used to evaluate the models' accuracy and reproducibility in extracting key elements such as study objectives, design, and expected benefits and risks.<br>
DOI: 10.6084/m9.figshare.28917407.v2
title: Experiences in Effectiveness of CBE

description: Experiences in effectiveness of Competency Based Education
DOI: 10.6084/m9.figshare.29037200.v2
title: dataset and visual system

description: We plan to apply for software copyright for the visualization system code. The code will be publicly available after the software copyright is granted
DOI: 10.6084/m9.figshare.14458806.v1
title: Supplementary Material for: MiR-506-3p Promotes the Proliferation and Migration of Vascular Smooth Muscle Cells via Targeting KLF4

description: <b><i>Background:</i></b> The dysregulation of proliferation and migration of vascular smooth muscle cells (VSMCs) is one of the major causes of atherosclerosis (AS). Accumulating studies confirm that Kruppel-like factor 4 (KLF4) can regulate the proliferation and differentiation of VSMCs through multiple signaling pathways. However, the mechanism of KLF4 dysregulation remains unknown. <b><i>Methods:</i></b> Apolipoprotein E-knockout (ApoE<sup>−/−</sup>) mice and human VSMCs were used to establish AS animal model and cell model, respectively. qRT-PCR was employed to determine the expressions of miR-506-3p and KLF4. Cell Counting Kit -8, Transwell, TUNEL assays, and flow cytometry were performed to measure the proliferation, migration, and apoptosis of VSMCs. The upstream miRNAs of KLF4 were predicted by microT, miRanda, miRmap, and TargetScan databases. The interaction between KLF4 and miR-506-3p was confirmed using qRT-PCR, Western blot, and luciferase reporter gene assay. <b><i>Results:</i></b> KLF4 expression was significantly decreased in the VSMCs of ApoE<sup>−/−</sup> mice fed with high-fat diet and in human VSMCs treated with oxidized low-density lipoprotein in time-dependent and dose-dependent manners. The transfection of miR-506-3p mimics or KLF4 shRNA promoted the proliferation and migration of VSMCs but inhibited the apoptosis while miR-506-3p inhibitors and pcDNA3.1-KLF4 exerted opposite effects. Additionally, KLF4 was confirmed as a target gene of miR-506-3p and could be negatively regulated by miR-506-3p. <b><i>Conclusion:</i></b> MiR-506-3p can promote the proliferation and migration of VSMCs via targeting KLF4, which can probably contribute to the pathogenesis of AS.
DOI: 10.6084/m9.figshare.21221288.v1
title: Data file

description: Full dataset
DOI: 10.6084/m9.figshare.25115633.v1
title: MMOTU

description: The MMOTU dataset consists of ovarian ultrasound images collected from Beijing Shijitan Hospital, Capital Medical University. The dataset is divided into two subsets: OTU 2D and OTU CEUS. The OTU 2D subset contains ultrasound images.The OTU CEUS subset consists of 170 images extracted from CEUS sequences.The MMOTU ovarian tumor ultrasound dataset used in the paper titled "<b>EPDWDNet: A lightweight and high-performance network for ovary ultrasound image segmentation</b>." is stored here. If needed, you can download and access it yourself. The dataset we employed in our study is sourced from the MMOTU image dataset, which comprises ovarian ultrasound images collected from Beijing Shijitan Hospital, Capital Medical University.If you would like to access the original MMOTU dataset, please click on the following link: https://drive.google.com/drive/folders/1c5n0fVKrM9-SZE1kacTXPt1pt844iAs1<br>
DOI: 10.6084/m9.figshare.3438878.v1
title: CRP_all raw data_final.xlsx

description: This data correspond to a manuscript of Plos One (ID : PONE-D-16-16329). We introduced a cardiac rehabilitation program that utilizes only a smartphone, with no external devices. As an efficient guide for cardiac rehabilitation exercise, we developed an application to automatically indicate the exercise intensity by comparing the estimated heart rate with the target heart rate zone. To evaluate HR estimation from our developed application during exercise, we used a modified version of the Bruce protocol, which consists of 5 min of walking for a warm-up, 10 min of jogging, 5 min of rest, and additional 10 min of jogging, and 5 min of waling for cool-down, all on a treadmill. The data are from 32 subjects for motion artifact analysis plus 4 subjects for maximum exercise testing.<sub> </sub><br><br>
DOI: 10.6084/m9.figshare.7321148.v1
title: Experimental constraints on the distinct effects of dust, lapilli and larger pyroclasts on entrainment and mixing in volcanic plumes (experimental data)

description: Raw experimental dataset of the grid-stirred experiments studying the influence of particles on entrainment and mixing in volcanic plumes.First sheet contains a summary of the experiments.Other sheets contain the time evolution (min) of the interface thickness (cm) of the density interface.<br>
DOI: 10.17632/ctbcxcmnfj
title: Data for: To app or not to app: A business-to-business seller’s decision

description: B2B Mobile Apps Adoption
DOI: 10.17632/ks9vbv5pb2
title: Horizontal Scaling in Kubernetes Dataset Using Artificial Neural Networks for Load Forecasting

description: This dataset provides comprehensive data collected from experiments to enhance horizontal scaling in Kubernetes clusters using Artificial Neural Networks (ANNs) for load forecasting. The dataset includes measurements of CPU load, packet reception rates, and the number of pods gathered under various traffic scenarios. These metrics were meticulously collected and preprocessed to train and evaluate the performance of the ANN-based scaling solution compared to the traditional Horizontal Pod Autoscaler (HPA). The dataset is divided into two main parts: training data and test data, each serving a specific purpose in developing and validating the scaling models.

The training dataset (TrainData.csv) consists of averaged metrics from multiple experiments, capturing the mean CPU load, mean packet reception rates, and mean number of pods under different stress conditions. This data was collected using a controlled setup with varying numbers of virtual users and replicas, ensuring a robust and diverse set of inputs for training the ANN model. By analyzing these averaged values, the ANN can learn to predict the optimal number of replicas needed to handle specific loads, aiming to improve resource utilization and maintain service quality.

The test dataset is split into two components: data collected from the Kubernetes cluster (TestK8sData.csv) and data from the JMeter tool (TestJMeterData.csv). The TestK8sData.csv file includes timestamped records of CPU usage, packet reception rates, number of pods, and additional parameters such as experiment type (HPA or ANN) and CPU thresholds. The TestJMeterData.csv file provides detailed logs of HTTP requests, including response times, success rates, and other performance metrics. Together, these datasets enable a comprehensive evaluation of the ANN-based scaling approach, allowing for comparisons against the traditional HPA method regarding efficiency, responsiveness, and adherence to service level agreements (SLAs).
DOI: 10.17632/mxmt3cy5dx
title: Health-related confidentiality and consent among minors: Data on adult perspectives from Belgium and The Netherlands

description: The data presented here provide one of the first large-scale insights on adult preferences for confidentiality and consent with regards to medical decision-making for minors. We collected data on these preferences through 12 hypothetical scenario’s that were presented, for which each participant had to indicate if they would (not) follow the minor’s preferences. Data regarding family communication, relationship quality, and sociodemographic characteristics were also collected. The data were collected through an online survey in September and October 2020, which yielded responses from 1,000 Belgian and 1,000 Dutch participants between 35 and 55 years of age. We selected this age range because it increased the chances that they had a child near the age of the fictional minor in the hypothetical cases. These data can be of interest for family researchers and/or health workers who want to explore adults’ perceptions regarding confidentiality and consent among minors.
DOI: 10.17632/yz6w3tcpw3
title: CT scan of iron ore pellet

description: Raw CT Scan Images of Iron Ore Pellet