cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/xwmbk7n3c8
title: Supply Chain Demand Forecasting Dataset of Bangladeshi Retailer

description: The historical sales dataset for this research is obtained from a Bangladeshi retailer. The dataset covers a period of 1826 days and includes daily sales data for a particular product from 01 January 2013 to 31 December 2017. The raw sales data has 2 columns: the first column contains timestamps, while the remaining column reflects the quantity sold.
DOI: 10.17632/bd7z84mbw2
title: Population genetics of two chromatic morphs of the Chagas disease vector Rhodnius pallescens Barber, 1932 in Panamá - Data & Scripts
DOI: 10.6084/m9.figshare.21899997.v1
title: cystoscopy_atlas.zip

description: This zip file includes all cystoscopic images used as development set.
DOI: 10.17632/7cj8phvkh2
title: Chemical Compound identified in Tualang Honey (TH)

description: The LC-MS/MS-QTOF to identify non-targeted derivatives in TH samples. This comprehensive analysis encompasses compound names, mass-to-charge values, species, retention times, and various other details. The LC-MS/MS QTOF analysis of TH detected a total of 35 compounds, comprising 15 known and 20 unknown compounds. Major peaks were observed for compounds such as 3-β-Galactopyransoyl glucose, 3-Methoxy-4,5-Methylenedioxybenzoic acid, Nicotinamide riboside and others. The identification was verified based on molecular mass, retention time, and mass-to-charge ratio. Interestingly, three compounds (Dihydrocaffeic acid, 3-β-Galactopyransoyl glucose, and Ethyl-β-D-glucopyranoside) were found in both GH and TH samples. This dataset provides a thorough overview of the analyzed samples, allowing for a more in-depth understanding of the detected compounds and their characteristics.
DOI: 10.6084/m9.figshare.13562285.v4
title: Supplementary figures and files for the publication

description: The supplementary materials and figures for the following publication is hosted at this repository:<br><br><b>Profiling of open chromatin in developing pig (<i>Sus scrofa</i>) muscle to identify regulatory regions</b> <b> </b> Mazdak Salavati<sup>1,2</sup>, Shernae A. Woolley<sup>1</sup>, Yennifer Cortés Araya<sup>1</sup>, Michelle M. Halstead<sup>3</sup>, Claire Stenhouse<sup>1,4</sup>, Martin Johnsson<sup>1,5</sup>, Cheryl J. Ashworth<sup>1</sup>, Alan L. Archibald<sup>1</sup>, Francesc X. Donadeu<sup>1</sup>, Musa A. Hassan<sup>1,2<b>§</b></sup> and Emily L. Clark<sup>1,2,<b>§</b></sup> <b>Data Availability</b> The raw sequence data for the ATAC-Seq samples (n=24) are available via the European Nucleotide Archive (ENA) under accession number PRJEB41485. Details of all samples processed for the RNA-Seq dataset (n=26) can be accessed via the ENA under accession number PRJEB41488.
DOI: 10.6084/m9.figshare.20051492.v1
title: MEF to iPSC reprogramming - Serum condition

description: scRNA-seq time-series dataset of mouse embryonic fibroblast (MEF) reprogramming to induced pluripotent stem cells (iPSCs) subsetted to the serum condition and assayed using 10x Genomics. Contains 39 time points spanning days 0-18 during reprogramming. Total cell number is 165,892. Note that this dataset has already been normalized by total counts and log-transformed. We added the `cell_sets` annotation by slightly modifying and combining the pre-computed annotations, introducing a `MEF/other` category that didn't exist in the original data. <br> Please cite the original publication: https://doi.org/10.1016/j.cell.2019.01.006
DOI: 10.6084/m9.figshare.3972486.v1
title: The Language and Social Background Questionnaire: Assessing Degree of Bilingualism in a Diverse Population. Supplementary Materials

description: The files contained in this repository are the Language and Social Background Questionnaire (LSBQ) and an Excel file that automatically calculates factor scores based on the findings of our paper: <i>The Language and Social Background Questionnaire: Assessing Degree of Bilingualism in a Diverse Population</i>. Additionally, we include the polychoric correlation matrix used to generate the factor analysis. Items hiighted in red have absolute correlations &lt; 0.3 (for colour, please download the file). We dropped items where more than 50% of the correlations were below this threshold.
DOI: 10.17632/88xvhcd6pz
title: Drinking water microplastic particles

description: This dataset reports the results of the analysis of 32 drinking water samples from two different sampling points of the same treatment plant to identify and quantify the microplastics present. Some sampling parameters, such as the season, the volume of water sampled, the type and treatment of the bottle used, were modified to assess the impact on the result of the analysis. In addition, the number of unidentified particles and the number of proteins detected are reported.
DOI: 10.17632/8mds4wpch3
title: Histopathology Imagery Dataset of Ph-Negative Myeloproliferative Neoplasm

description: Despite advanced technology in diagnostic tools to boost the procedure, the morphological assessment of bone marrow trephine (BMT) images remains critical to confirm and differentiate MPN subtypes. Hence, this histopathological imagery dataset was generated and focuses on the most typical MPN from Philadelphia chromosome (Ph)-negative type, which are Essential Thrombocythemia (ET), Polycythemia Vera (PV), Primary Myelofibrosis (MF). This dataset consists of 300 BMT images which can be used to enable computer vision applications such as image segmentation, disease classification and object recognition.
DOI: 10.6084/m9.figshare.16621888.v1
title: Epidemics - Early phase Lombardy

description: Data and R script for the estimation of SARS-CoV-2 serial interval
DOI: 10.6084/m9.figshare.23600895.v1
title: Code process for sensors ADXL 345 and MPU 6050.docx

description: The data is simply code for digital sensors with Arduino Uno R3 Microcontroller to enable ground acceleration data collection in m/s2 from moving trains in the Nairobi Metropolitan area in Athi River,Kenya.
DOI: 10.6084/m9.figshare.26085060.v1
title: HiGTS_2004s2

description: HiGTS is a high temporal resolution global gridded dataset of human thermal stress metrics. Derived using climate variables from ERA5-Land and ERA5, the HiGTS consists of hourly gridded maps of Universal Thermal Climate Index (UTCI), Universal Thermal Stress (UTS), and daily Thermal Stress Duration (TSD) at 0.1° × 0.1° spatial resolution over the global land surface.HiGTS_2004s2 contains the data from April 1, 2004 to June 30, 2004.
DOI: 10.6084/m9.figshare.29126285.v1
title: mRNAseq_brain_(CTE long term study)

description: This file contains the mRNA-seq dataset that was used in the unpublished manuscript and was further analyzed with the DEGviewer online software. The dataset shows significant mRNA fold changes when comparing CTE-induced groups with the control group.
DOI: 10.17632/b66fpzmvgc
title: Combining hybrid mixed and exponential fitted hybrid mixed finite element methods to simulate semiconductor devices - data

description: The present data was produced by the solution of the drift-diffusion equations by combining the hybrid mixed and exponential fitted hybrid mixed finite element methods. The code was implemented in C++ using the deal.II Finite Element Library (dealii.org).
DOI: 10.6084/m9.figshare.29133725.v1
title: <b>EKUM: An Accurate Method for Updating Knowledge Graphs in Earth System Science for Novel Thematic Terms</b>

description: This method automatically extracts candidate thematic terms from large-scale geoscientific literature using pre-trained language models, and then leverages MFDA to identify inheritance or extension relationships with existing entities, thereby enabling dynamic and incremental updates of the ESSKG.
DOI: 10.17632/v6d3pkt7rk
title: Data for: Deep mantle serpentinization in subduction zones: insight from in-situ B isotopes in slab and mantle wedge serpentinites
DOI: 10.6084/m9.figshare.21779150.v2
title: Urban birds, traits, and landscapes

description: Data and code supporting Neate-Clegg et al., Trait-based predictions of urban tolerance for the world’s birds are modulated by latitude and human population density.
DOI: 10.6084/m9.figshare.28600646.v2
title: Empirical Study Results and Corresponding Datasets for Paper No. 595

description: This repository contains the empirical research findings of Paper No. 595, along with related datasets.
DOI: 10.6084/m9.figshare.28691960.v2
title: Monsoon Climate and Anthropogenic Influences Shape Primate Distributions across the Southeastern Edge of the Qinghai-Tibet Plateau

description: Abstract The southeastern edge of the Qinghai-Tibet Plateau (Yunnan, China) exhibits high biodiversity but stark differences in species richness between its western Longitudinal Range Gorge (LRG) and eastern Yunnan Plateau (YP). We collected distribution data for 16 primate species in Yunnan and analyzed palynological records over the past 20 ka from 21 localities to identify the biogeographic, climatic, and anthropogenic factors that have driven the present-day distribution of primates in this region. By integrating local ecological records, field surveys, species distribution models, niche utilization rates, and historical vegetation and land use changes, we found that spatial-temporal shifts in monsoonal climate have been a critical factor in shaping primate species richness on the southeastern edge of the Qinghai-Tibet Plateau. Compared to the YP, the LRG receives more precipitation, has more limited seasonal temperature variation, and has higher minimum temperature of coldest month. These conditions have facilitated the development of moist evergreen deciduous forests, which represent a more suitable habitat for the 14 primate species that inhabit this area. In contrast, the drought-adapted forests of the YP support only one primate species. Palynological records indicate that the differentiation of the LRG and YP predates human influence. However, over the past 2,000 years, anthropogenic habitat loss and hunting have significantly affected the distribution of primates. The ranges of gibbons, langurs, and snub-nosed monkeys are now restricted to the central and northern regions of the LRG and have disappeared from lower elevations. Lorises have disappeared from their northernmost range. In contrast, the distribution of macaques has remained relatively stable. The Yangtze-Red River-24°N line marks the biogeographic boundary of high primate species richness and biodiversity in the LRG and southeastern Yunnan. Our research suggests that changes in monsoon climate have fundamentally shaped contemporary species richness, while recent anthropogenic pressures have caused 'range contraction' for many taxa.
DOI: 10.6084/m9.figshare.773083.v3
title: Bioinformatics Training Resources

description: Markdown source, PDF, and HTML rendering of bioinformatics training resources from http://stephenturner.us/p/edu.
DOI: 10.17035/d.2016.0009225471
title: K-means based load estimation of domestic smart meter measurements

description: A load estimation algorithm based on k-means cluster analysis was developed. The developed algorithm applies cluster centres – of previously clustered load profiles – and distance functions to estimate missing and future measurements. Canberra, Manhattan, Euclidean, and Pearson correlation distances were investigated. Several case studies were implemented using daily and segmented load profiles of aggregated smart meters. Segmented profiles cover a time window that is less than or equal to 24 hours. Simulation results show that Canberra distance outperforms the other distance functions. Results also show that the segmented cluster centres produce more accurate load estimates than daily cluster centres. Higher accuracy estimates were obtained with cluster centres in the range of 16-24 hours. The developed load estimation algorithm can be integrated with state estimation or other network operational tools to enable better monitoring and control of distribution networks. This dataset provides details to the      Input load profiles;     Output load profiles; and     Cluster centres  which comprise the average active power demand (measured in kilo-Watts) at each half-hourly time step during a day. The dataset also includes the values of the Mean Absolute Percentage Error (MAPE) between the actual and the estimated values of the active power demand. A readme.txt file has been included in each folder to help the reader trace the type of information provided within the folders.
DOI: 10.6084/m9.figshare.24434725.v1
title: RawData_TandemLCMS_PsilocybinPsilacetin_Psilocin_PlasmaConcentrations

description: A liquid chromatography-tandem mass spectrometry method suitable for quantitative analysis of psilocin concentrations is assessed for accuracy and applied to determine the plasma concentrations of liberated psilocin following the administration of psilacetin fumarate and psilocybin to C57Bl6/J mice.<b>Liquid Chromatography / Tandem mass spectrometry (LC-MS/MS)</b>LC-MS/MS analysis and quantitation occurred in the Analytical Instrumentation Center (AIC) at the UW-School of Pharmacy. For preparation of analytical standards, psilocin (Usona Institute, Madison WI; &gt; 99% purity) was prepared in Optima LCMS grade methanol (Fisher Scientific, Hampton NH). d<sub>10</sub>-Psilocin solution was purchased from Cerilliant (Round Rock TX) for use as an internal standard (ITSD). Blank mouse plasma for preparing calibration curves and quality control samples (QCs) was purchased from Innovative Research (Novi MI). All solvents for liquid chromatography were Optima LC/MS grade (Fisher Scientific, Hampton NH). Additives for LC/MS analysis were purchased from Sigma Aldrich (St. Louis MO).Calibrators and QCs were prepared from stock methanol solutions of active pharmaceutical ingredients diluted to between 0.5 and 400 ng/ml in blank plasma. Samples, calibrators, and QCs were prepared for LC-MS/MS by protein precipitation and filtration using Waters Sirocco plates (Milford MA) according to the manufacturer’s instructions. A precipitation mix containing the ISTD was prepared and aliquoted to a Sirocco plate mounted on a 96-well receiver. Samples, QCs, and calibrators were added to the plate, incubated for 2 minutes, and pushed through the plate using a positive pressure manifold (Waters, Milford, MA). Processed samples were then dried under nitrogen and resuspended in 100 µl 98% A / 2% B solvent prior to LC/MS/MS analysis.Quantitative LC-MS/MS was performed using a Waters Acquity I-Class binary pump (Waters Corp., Milford MA) coupled to a Sciex QTrap 5500 mass spectrometer (Sciex Corp., Framingham MA). Samples were separated on a Kinetex Core-Shell phenyl-hexyl 2.1 x 100 mm column (Phenomenex, Torrence CA) using a 3-minute gradient with a flow rate of 0.4 ml/min and a column temperature of 28C. The initial conditions consisted of 95% solvent A (2.5 mM ammonium formate in water with 0.1% formic acid) and 5% solvent B (acetonitrile with 0.1% formic acid). The elution gradient began at 5% B, increased to 8.6% B over 1.8 minutes, then quickly rose to 95% B in 0.15 minutes. This was held for 0.6 minutes, then decreased to 5% B in another 0.15 minutes, followed by a 0.25-minute re-equilibration period. The column temperature was maintained at 28°C with a flow rate of 0.4 ml/min. All samples were injected in triplicate in randomized order, and the average of these injections was used for analysis.
DOI: 10.17632/36z655kjpt
title: Associations Between D-irAE Morphologies and Systemic Immunomodulatory/Immunosuppressive Treatment, a Large Retrospective Cohort Study: Supplemental Files

description: This file includes additional details on study methodology and tables summarizing results for the study "Associations Between D-irAE Morphologies and Systemic Immunomodulatory/Immunosuppressive Treatment, a Large Retrospective Cohort Study", accepted for publication in the Journal of the American Academy of Dermatology.
DOI: 10.17632/tv9kxjp8z2
title: Nondestructive Testing Research on the Surface Damage Faced by the Shanhaiguan Great Wall Based on Machine Learning

description: The Shanhaiguan Great Wall is a section of the Great Wall of the Ming Dynasty, which is a UNESCO World Heritage Site. Both sides of its basic structure are composed of rammed earth and gray bricks. The surface gray bricks sustain damage from environmental factors, resulting in a decline in their structural quality and even a threat to their safety. Traditional surface damage detection methods rely primarily on manual identification or manual identification following unmanned aerial vehicle (UAV) aerial photography, which is labor-intensive. This paper applies the YOLOv4 machine learning model to the gray surface bricks of the Plain Great Wall of Shanhaiguan as an illustration. By slicing and labeling the photos, creating a training set, and then training the model, the proposed approach automatically detects four types of damage (chalking, plants, ubiquinol, and cracking) on the surface of the Great Wall. This eliminates the need to expend costly human resources for manual identification following aerial photography, thereby accelerating the work. Through research, it is found that (1) compared with manual detection, this method can quickly and efficiently monitor a large number of wall samples in a short period of time and improve the efficiency of brick wall detection in ancient buildings. (2) Compared with previous approaches, the accuracy of the current method is improved. The identifiable types are increased to include chalking and ubiquinol, and the accuracy rate increases by 0.17% (from 85.70% before to 85.87% now). (3) This method can quickly identify the damaged parts of the wall without damaging the appearance of the historical building structure, enabling timely repair measures.
DOI: 10.6084/m9.figshare.12227543.v1
title: COVID-19 pandemic, psychological response, and knowledge of the disease among inmates of a custodial center in Nigeria.sav

description: This is a dataset collected among 66 participants in Enugu Custodial Center using IBM SPSS, version 20<br>
DOI: 10.6084/m9.figshare.12955052.v1
title: Search and Analysis Protocol

description: Search and Analysis Protocol used in Systematic Literature Review of published research on the relationships between consumption of pornography and domains of Healthy Sexual Development
DOI: 10.6084/m9.figshare.25751757.v1
title: Mesquite Soil Data3.xlsx

description: Data for the article of: The effect of mesquite (Prosopis jouliflora) afforestation age on soil properties
DOI: 10.6084/m9.figshare.28579841.v1
title: EDIBLE COATING KAREN.xlsx

description: The data set for investigation "<b>Development and Characterization of Alginate-Based Coatings Enriched with Marigold Essential Oil for Shelf-life Extension of Cherry Tomatoes</b>"
DOI: 10.6084/m9.figshare.29019161.v1
title: Yeom-et.al [synthetic compounds 3aa&7]

description: The raw NMR data for the compounds 3aa and 7 measured in the published paper (DOI: org/10.1021/acs.orglett.4c01530).
DOI: 10.17632/fwm6z9tv3f
title: Annotated Object Detection Dataset of Five Herbivorous Animal Classes

description: This dataset contains 10,000 high-resolution images of herbivorous animals, annotated for object identification and detection tasks. It is intended for use in training and evaluating deep learning models for animal detection in natural or farm environments.

Each image contains a single instance of one of the following five animal classes:

Buffalo

Camel

Cow

Goat

Sheep

The annotations include bounding box coordinates and class labels, formatted for compatibility with modern object detection frameworks such as YOLO, Pascal VOC, or COCO, depending on the export version.
DOI: 10.17632/rvg5jr8yk7
title: Lipidomic datasets

description: dataset Repository
DOI: 10.6084/m9.figshare.16807150.v1
title: IDBA-UD Assemblies of 16 Arctic Ocean Metagenomes from Cao et al 2020

description: This datapack contains anvi'o contigs databases for 16 metagenome samples from the Cao et al 2020 paper (https://doi.org/10.1186/s40168-020-00826-9) that were assembled using IDBA-UD as part of the anvi'o metagenomic workflow. <br>It also contains a tab-delimited metadata file derived from data provided in the Cao et al paper, describing the depth, sampling location, and public database accession numbers of each Cao et al sample (including the 16 assemblies within this datapack).<br>The database names do not correspond to the original sample names from the Cao et al paper. You can find the original sample names in the metadata file.<br>The size of the unzipped datapack is 6.5 GB.
DOI: 10.6084/m9.figshare.28756649.v1
title: Kato et al. 2025

description: Whole-genome sequencing of prokaryotic strains from Japan Collection of Microorganisms (JCM)
DOI: 10.6084/m9.figshare.3846987.v3
title: Woodlot Dataset 3 Techniques and Data

description: META DATA Methods: The distance of one tree to another and the tree’s diameter was measured with a transect measuring tape in metres. Only ten pairs of adult trees were used in the experiment and random sampling was conducted. Random sampling was conducted in order to avoid any bias within the sample as some areas in the forest may get more nutrients than other areas hence, affecting the data collected. Adult trees : Can be described as having a thick trunk and elongated branches. The amount and size of leaves on adult trees are typically abundant. Diameter at breast height: This is the diameter of the tree relative to the researcher’s breast height measured in metres. The height of the researcher’s distance at breast height is approximately 1.25 m. Note: Diameter at breast height was also notated as DBH. Condition: The condition of a tree was determined through the characteristics of its trunk and the colour of its leaves. They were given a score out of 2 depending on their condition. If the trunk was very crooked it was given a low score of 0 and if it was straight it was given a 2. The tree was given a score of 2 based on the abundance of green canopy the tree was covering, and if it showed dry, brittle leaves it was given a score of 0. Any mixture of the conditions between tree trunk and leaf colour were given a score of 1. Site Description: Data was collected at the Danby Woodlot of York University Keele Campus on September 21, 2016 at 4:20 pm. The site was shaded with little sunlight peeking through. There was little to no wind. The temperature was approximately 25 degrees Celsius. Data collected was obtained on a data sheet with results as displayed. Other experiments by other groups were being conducted at the same time. Hypothesis: The greater the distance of the first tree to the second tree will cause the condition of a tree to be better due to the lack of competition of resources within the area for sunlight and space. The greater the diameter of the tree trunk, the better the condition of the tree due to the amount of nutrients that the tree might be receiving compared to a tree with a slender trunk. Prediction 1: Trees that are farther from one another will have better growing conditions. Prediction 2: Trees that have wider trunks are in better condition than those with slender trunks.