cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/45yzn43yyk
title: Algorithms for random sampling from single-variate distributions

description: Title of program: SUBROUTINE PACKAGE SAMPLE Catalogue Id: AAXT_v1_0 Nature of problem This subroutine package allows generation of random deviates from discrete, step-wise and continuous single-variate distributions. Versions of this program held in the CPC repository in Mendeley Data AAXT_v1_0; SUBROUTINE PACKAGE SAMPLE; 10.1016/0010-4655(87)90096-8 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/z3g26tphnv
title: MEFAR Dataset: Neurophysiological and Biosignal Data

description: The dataset was carefully generated with the purpose of investigating mental fatigue through the analysis of physiological signals. The signals that are included are as follows: Electroencephalography (EEG) is a technique utilized to assess the electrical activity of the brain. The blood volume pulse (BVP) is a measurement technique that records fluctuations in blood volume inside the peripheral blood vessels. Electrodermal activity (EDA) is a physiological measure that monitors variations in the electrical conductivity of the skin. The heart rate (HR) is data that measures the frequency of heartbeats within a given timeframe, typically expressed as the number of beats per minute. The temperature sensor is responsible for monitoring the body temperature of the participants. The 3-axis accelerometer (ACC) data quantifies the rate of change in velocity experienced by the individuals involved. Data was gathered from a sample of 23 individuals during both morning and evening sessions. The Chalder Fatigue Scale was employed in order to assess the levels of mental weariness among the participants. The scale utilized in this study offers a numerical score to each participant, which is determined based on their responses. A score of 12 or above on this scale is indicative of a positive mental fatigue condition. The dataset includes both unprocessed/raw and processed data. The term "raw data" pertains to unaltered recorded signals, whereas "processed data" generally includes signal preprocessing methods such as filtering, artifact removal, and feature extraction. The processed data comprises data that has been processed using various sampling frequencies, namely 1 Hz, 32 Hz, and 64 Hz. The operations encompass downsampling, midsampling, and upsampling. The datasets that have undergone processing are denoted as MEFAR_DOWN, MEFAR_MID, and MEFAR_UP, representing the treated data with downsampling, midsampling, and upsampling, respectively. Furthermore, comprehensive demographic data pertaining to the participants can be found in an Excel spreadsheet named "general_info." Maintaining the identity and privacy of participants is crucial in order to adhere to ethical requirements. This dataset can be shared among researchers that are interested in analyzing mental exhaustion, enabling them to conduct more investigations, develop algorithms, and validate their findings.
DOI: 10.6084/m9.figshare.20711392.v1
title: Data_2022_Yao_etal.7z

description: The data here are used for the simulations and plottings of the study Yao et al., 2022, in review. The codes could be found through this link: https://github.com/YiYaoVUB/2022_Yao_etal_JAMES
DOI: 10.6084/m9.figshare.24235036.v1
title: Supplementary Material for: Management of Large conjunctival cysts in a patient with Stevens-Johnson syndrome; a case report and review of the literature

description: Stevens-Johnson syndrome (SJS) is a life-threatening mucocutaneous disease with various etiologies including drugs, infections, and malignancies. Ocular manifestations of SJS vary from the membrane, symblepharon formation, and epithelial defect in the acute phase to trichiasis, eyelid margin keratinization, and lacrimal duct obstruction in the chronic phase. A 13-year-old boy with a history of drug-induced SJS presented to our clinic complaining of a mass in the nasal side and inferior fornix of the right eye from 1 year ago. The mass-like lesion in the medial side of the right eye was accompanied by ankyloblepharon, symblepharon, and ptosis and limited ocular movement. Orbital imaging showed cystic lesions on the medial side of the right globe and the inferior fornix. Two large cysts were entirely surgically excised. Histopathologic investigation revealed conjunctival tissue with nonkeratinized epithelium and goblet cells. There was no sign of conjunctival cyst recurrence or symblepharon formation on the 6th-month follow-up. The inferior fornix achieved acceptable depth and the ocular movements became normal. As a result, spontaneous conjunctival cysts may occur in SJS and should be managed carefully to improve the ocular surface and movements.
DOI: 10.6084/m9.figshare.24449590.v2
title: <b>Transcriptional response of the heart to vagus nerve stimulation: Supplementary Material</b>

description: <b>Supplementary Material.docx </b>Table S1 - Differential gene expressionTable S2 - Canonical pathwaysTable S3 - Upstream regulators<b>FullDataset.xls</b>MS Excel spreadsheet of Partek Gene Specific Analysis (GSA) differential expression analysis and Qiagen Ingenuity Pathway Analysis (IPA) Canonical pathway and Upstream regulator analysis.
DOI: 10.6084/m9.figshare.27823038.v1
title: Trichogramma_dendrolimi

description: <i>Trichogramma dendrolimi</i> is an essential egg parasitic wasp with a broad host range to be widely used for controlling agricultural and forestry pests. Some genomes of <i>Trichogramma</i> spp. have been assembled, but the chromosome-level genomes are not yet available. This study assembled a high-quality chromosome-level genome of <i>T. dendrolimi </i>using Illumina, PacBio CLR long sequencing, and Hi-C scaffolding technologies.
DOI: 10.6084/m9.figshare.28113572.v1
title: <b>Functional trait diversity of over- and understorey raises microbial carbon use efficiency in forest plantation soils</b>

description: Microbial carbon use efficiency in soil depends on plant diversity.
DOI: 10.6084/m9.figshare.5918608.v1
title: Growth data of the E. coli strains carrying the reduced genomes

description: This dataset contains growth curve data of a series of E. coli cells carrying reduced genomes, in the media of LB (rich medium), MAA (M63 supplied with 20 amino acids) and M63 (minimal medium).<br>The dataset consists of three <b>.xlsx </b>files accessible via MS Excel and open office formats. Each file contains experimental growth curve data by time in a series of tabs, each representing one strain with the tab name bearing <b>n</b>. Individual columns in a tab represent individual wells per strain. Each separate file corresponds to one of the growth media above: LB, MAA, and M63, which represent the rich, supplementary, and poor growth conditions, respectively.<br>Measurement data are provided at 30 minute or one hour intervals for all growth media and groupings.<br><b>KHK growth curves_LB.xlsx</b> - <i>E. coli </i>growth curve data by strain for LB (rich medium)<b>KHK growth curves_M63.xlsx</b> - <i>E. coli </i>growth curve data by strain for M63 (minimal medium)<b>KHK growth curves_MAA.xlsx</b> - <i>E. coli </i>growth curve data by strain for MAA (M63 supplied with 20 amino acids)<br><b>Methodology (see related publication for full details)</b><b><br></b>E. coli culture cell growth was detected at an absorbance of 600 nm, with readings obtained at 30-min or 1-h intervals for 24 to 48 h. The growth curves were obtained for each well. Repeated tests were performed, which resulted in 11 to 30 growth curves used for further calculations of growth rate and population density for each strain at each growth condition (medium). Growth curves were acquired in three different media: LB, M63 and MAA.<br><b><br></b><b>Background</b><br>Genome reduction by removing dispensable genomic sequences in bacteria is commonly used in both fundamental and applied studies to determine the minimal genetic requirements for a living system or to develop highly efficient bioreactors. Nevertheless, whether and how the accumulative loss of dispensable genomic sequences disturbs bacterial growth remains unclear. To investigate the relationship between genome reduction and growth, a series of Escherichia coli strains carrying genomes reduced in a stepwise manner were used. Intensive growth analyses revealed that the accumulation of multiple genomic deletions caused decreases in the exponential growth rate and the saturated cell density in a deletion-length-dependent manner as well as gradual changes in the patterns of growth dynamics, regardless of the growth media. Accordingly, a perspective growth model linking genome evolution to genome engineering was proposed. This study provides the first demonstration of a quantitative connection between genomic sequence and bacterial growth, indicating that growth rate is potentially associated with dispensable genomic sequences.<br>
DOI: 10.4121/uuid:b1d47ae5-e1e2-4b0e-a7eb-df9450574f6b
title: Multiple Discriminant Analysis (MDA) Data

description: Nzoia WeShareIt provides policymakers with an understanding of the complexity of making water allocation trade-offs between food, energy and nature. It is a multi-player hybrid cooperation game, that was designed and applied in 2016. The game was designed by the Delft University of Technology, in collaboration with Moi University. Design of the original WeShareIt focused on the Nile Basin. The Nile river is one of the longest rivers in the world with a basin area that covers one-tenth of Africa’s total landmass. After the application of WeShareIt game, in October 2015, recommendations were made to redesign the game for a smaller river basin within the Nile basin.
DOI: 10.6084/m9.figshare.12029652.v1
title: Sexual Coercion and Relational Uncertainty in Romantic Relationships_March 20, 2020_23.33.sav

description: This data set contains items that form composite variables for relational satisfaction, perpetrator and victim coercion, relational uncertainty and its subscales, relational-contingent self-esteem, romantic jealousy subscales, and heteronormative gender scripts. As well as, non-identifying information such as age, and racial background.
DOI: 10.6084/m9.figshare.1455963.v5
title: Examples data files for phconvert

description: Example data files in different formats that can be converted to Photon-HDF5 format using phconvert.
DOI: 10.6084/m9.figshare.15152334.v3
title: Metagenome assembled genomes (MAGs)

description: Metagenome assembled genomes (MAGs) generated by taking raw reads from 58 samples that were quality-score filtered, trimmed, adapters removed, entropy-filtered (entropy =0.3), and PhiX reads removed with the program BBDuk v.38.84. After quality control, the data were normalized with BBNorm v.38.84 to down-sample reads found at high depths and make the sequence coverage more even within each sample. For each sample, the normalized reads were assembled independently with MEGAHIT v.1.2.9. Each assembly was then binned individually using MaxBin 2.0 v.2.2.6. The metagenomic assembled genomes (MAGs) were then de-replicated and representative MAGs were selected with the program dRep v.2.4. The quality of MAGs was assessed using CheckM v1.0.13 and those with at least 69% completion and &lt;10% contamination were selected for further analysis. The remaining MAGs were compared to the non-redundant NCBI database using BLASTn 2.5.0+ to identify eukaryotic sequences, which were then filtered from the assemblies. RefineM v0.1.2 was also used to remove contigs by characterizing contigs that diverged from genomic properties within each MAG, such as G+C content, genome coverage, and tetranucleotide frequencies. Further screening of bins was conducted with CheckM’s SSU Finder to identify 16S rRNA genes. Genes that did not match the taxonomic identification of the bins were removed. CheckM was run again to obtain the quality and completion of the final bins.
DOI: 10.6084/m9.figshare.23726931.v1
title: Spectroscopy Database Spectra by Compound 2023_01_16.zip

description: Dataset of NMR, IR, and MS spectra in mestreC format for teaching spectroscopy. Includes H-1, C-13, DEPT, COSY, HMQC, HMBC NMR.
DOI: 10.6084/m9.figshare.5634208.v3
title: CT and XMT image data of macropod and artiodactyl limb bones to accompany Doube et al. (2018)

description: CT and X-ray microtomography images of humerus, radius, ulna, metacarpal, femur, tibia and metatarsal bones from artiodactyl (Artiodactyla) and macropod (Diprotodontia, suborder Macropodiformes) specimens.<br>Doube M, Felder AA, Chua MY, Lodhia K, Kłosowski MM, Hutchinson JR, Shefelbine SJ. 2018 Limb bone scaling in hopping macropods and quadrupedal artiodactyls. Royal Society Open Science 5, 180152. (doi:10.1098/rsos.180152) <br>
DOI: 10.6084/m9.figshare.12433715.v3
title: GBS SNP calls for 164 perennial ryegrass genotypes

description: GBS libraries were prepared using PstI restriction enzyme.
DOI: 10.6084/m9.figshare.27999275.v2
title: Analyzing the Usage of Donation Platforms for PyPI Libraries

description: The dataset is a JSON file mapping library names to the following informationtheir direct dependenciesassociated URLs, and,where available, information about GitHub Sponsors profiles, additional donation platform links and repository owner typesThe notebook analyzes the data to calculate the following metrics:Distribution of the most commonly used donation platforms across the PyPI ecosystemRatio of individual PyPI libraries which link to donation platformsRatio of PyPI libraries in dependency chains which link to donation platforms<br>
DOI: 10.6084/m9.figshare.28795916.v1
title: DNA-seq data of SLC13A5 mutant

description: We identified a novel homozygous <i>SLC13A5</i> nonstop mutation in a Chinese family with epileptic encephalopathy and developmental delay.The DNA sequencing data confirmed the SLC13A5 mutation in the patient and her parents by Sanger sequencing.
DOI: 10.6084/m9.figshare.3564573.v1
title: Appendix A. Brief Model Description of TRIPLEX-FLUX.

description: Brief Model Description of TRIPLEX-FLUX.
DOI: 10.17632/v5y87syfcc
title: Co-transcriptional genome surveillance by HUSH is coupled to termination machinery. Spencley et al 

description: Spencley, Andrew (2023), “Co-transcriptional genome surveillance by HUSH is coupled to termination machinery. Spencley et al ”, Mendeley Data, V1, doi: 10.17632/v5y87syfcc.1
DOI: 10.6084/m9.figshare.21747602.v1
title: DynAMICS Dataset

description: The dataset used in the paper : DynAMICS: A tool-based method for the specification and dynamic detection of Android behavioural code smells
DOI: 10.6084/m9.figshare.25594032.v1
title: CheeseMaking-IDB

description: <b>CM-IDB: The Cheese Making Image Database for Image Processing and Analysis</b>CM-IDB is the public image dataset described in the following article: Detecting coagulation time in cheese making by means of computer vision and machine learning techniques (Doi: 10.1016/j.compind.2024.104173).<br>Authors: Andrea Loddo, Cecilia Di Ruberto, Giuliano Armano, Andrea Manconi<br><b>Dataset acquisition</b>The dataset was obtained through the collaboration between Biosabbey s.r.l. and the Department of Mathematics and Computer Science (DMI) ofthe University of Cagliari under an agreement facilitated by DMI.The acquisition process was overseen by Massimiliano Sicilia of Laore Sardegna as part of his collaboration with Biosabbey s.r.l.Subsequently, Andrea Loddo, affiliated with DMI at the University of Cagliari, curated and organized the dataset, which is currently maintained by him.# NOTE: please cite the following manuscript in case of using this dataset in your own work:<pre>@article{loddo2025detecting,<br> title={Detecting coagulation time in cheese making by means of computer vision and machine learning techniques},<br> author={Loddo, Andrea and Di Ruberto, Cecilia and Armano, Giuliano and Manconi, Andrea},<br> journal={Computers in Industry},<br> volume={164},<br> pages={104173},<br> year={2025},<br> publisher={Elsevier}<br>}</pre>---------------------------------------------------------------------------------------------------------------<b>Description</b>:The dataset for this study was assembled by collecting a series of 8 image sets from a Sardinian (Italy) dairy company (Podda Formaggi).Each set illustrates the coagulation process of milk, showing the transition from a liquid state to a gelatinous form known as curd.An image at different positions within the sequence for each set identifies the precise moment when this transformation begins, referred to as the curd-firming time.<br>The images were taken using a camera with a CMOS sensor of size 35.9x24.0 mm and a resolution of 24 Mpixel, specifically a Nikon D750.All images are in RGB format, with a resolution of 6016x4016 pixels, and were taken at approximately 10-second intervals.<br>Within each set, the images are organized chronologically and labeled based on the stage of maturation: pre-CF-time (negative class) or CF-time (positive class).The time interval between consecutive images varies, with negative examples taken every 10 seconds and positive examples taken every 2 seconds.Copyright (c) 2024 andrealoddo
DOI: 10.6084/m9.figshare.25941580.v1
title: Dataset: Peptide Stability in the Gastrointestinal Tract

description: Article: https://doi.org/10.1016/j.ijpharm.2023.122643GitHub Repo: https://github.com/FrankWanger/ML_PeptideThis data was manually curated from published articles. The detailed information of references can be found in the article linked above.Abstract: The oral delivery of peptide therapeutics could facilitate precision treatment of numerous gastrointestinal (GI) and systemic diseases with simple administration for patients. However, the vast majority of licensed peptide drugs are currently administered parenterally due to prohibitive peptide instability in the GI tract. As such, the development of GI-stable peptides is receiving considerable investment. This study provides researchers with the first tool to predict the GI stability of peptide therapeutics based solely on the amino acid sequence. Both unsupervised and supervised machine learning techniques were trained on literature-extracted data describing peptide stability in simulated gastric and small intestinal fluid (SGF and SIF). Based on 109 peptide incubations, classification models for SGF and SIF were developed. The best models utilized k-Nearest Neighbor (for SGF) and XGBoost (for SIF) algorithms, with accuracies of 75.1% (SGF) and 69.3% (SIF), and f1 scores of 84.5% (SGF) and 73.4% (SIF) under 5-fold cross-validation. Feature importance analysis demonstrated that peptides’ lipophilicity, rigidity, and size were key determinants of stability. These models are now available to those working on the development of oral peptide therapeutics.
DOI: 10.17608/k6.auckland.4557322.v1
title: SCoA-VI Data Files

description: The SPSS data file containing the data information collected from the SCoA-VI questionnaire administered in 2007. <br><br>The AMOS data file is the confirmatory factor analysis input for the SCoA-IV data set. <br><br>Version 5 and version 6 inventory are identical items, however, they have different analytic models.<br><br>Results were published in:<br>Brown, G. T. L., Peterson, E. R., & Irving, S. E. (2009). Beliefs that make a difference: Adaptive and maladaptive self-regulation in students’ conceptions of assessment. In D. M. McInerney, G. T. L. Brown, & G. A. D. Liem (Eds.), <i>Student Perspectives on Assessment: What Students can Tell us about Assessment for Learning </i>(pp. 159-186). Charlotte, NC: Information Age Publishing.<br>AlQassab, M. (2012). <i>Differential item functioning according to subject motivation: Psychometric properties of the Student Conceptions of Assessment </i>(unpublished master's thesis), The University of Auckland, Auckland, NZ.
DOI: 10.6084/m9.figshare.28757408.v1
title: light-cone VQA code and data

description: Code and data for article "Performance guarantees of light-cone variational quantum algorithms for the maximum cut problem".Contents including three folders:<b>bipolar_ZY_ansatz</b>: Code of constructing bipolar-ZY ansatz.<b>Mathematica_code_for_local_analysis</b>: Code for local analysis of bipolar-ZY ansatz.<b>hardware_data</b>: hardware implementation data and calibration details.
DOI: 10.6084/m9.figshare.8313386.v1
title: FigShare Data.xlsx

description: We provided the intra-tendinous morphology data from ultrasound imaging. The runners' demographics, running history, body measures, and clinical measures (endurance and flexibility) was also provided.
DOI: 10.17632/5nfkks6xts
title: Data for: Solubility Prediction in Mixed Solvents: A Combined Molecular Simulation and Experimental Approach

description: Additional information, files and python scripts
DOI: 10.17632/tvmf2jvjtk
title: Data and code for WXX (2025)

description: Replication data and code for the paper "Borrowing Constraints, Financial Development and The Aggregate Savings: Theory and Evidence" by Pengfei Wang, Lifang Xu, and Zhiwei Xu.
DOI: 10.6084/m9.figshare.7532972.v2
title: Tuberculosis knowledge, attitude and practice among healthcare workers during the 2016 Hajj

description: Dataset relates to a cross-sectional study to assess knowledge, attitude and practice (KAP) of HCWs deployed during the 2016 Hajj regarding TB and its management using an anonymous self-administered questionnaire.<br>
DOI: 10.6084/m9.figshare.7778255.v3
title: Dataset of gait and inertial sensors

description: The dataset consists of all the data of the 22 healthy subjects plus one subject with foot drop. The data are stored in ASCII (text) format and can be downloaded separately or as a single compressed file. The dataset has three types of contents: data of the measured signals (data files), data of the gait events (event files), and metadata about the subjects (metadata file). The task performed by each subject was to walk barefoot six times at each of three self-paced speeds (comfortable, slow, and fast) on a 40-m long and 2-m wide walkway, without curves, with a flat and rigid surface (trials 1, 3, and 5 were in one direction, and trials 2, 4, and 6 were in the opposite direction). The order of the speeds was randomized among subjects. Each trial lasted from 30 s to 60 s. In addition, one trial was acquired with the subject standing upright and as still as possible for 10 s, for a potential calibration of the sensors. Data collection for each subject was performed in a single session, which lasted 40 min on average.<br>Two companion Jupyter Notebooks (available at https://github.com/BMClab/datasets/tree/master/GEDS) presents the programming code to generate such analyses and other examples.<br><br>