cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1232205.v4
title: Genome-wide DNA methylation analysis identifies a metabolic memory profile in patient-derived diabetic foot ulcer fibroblasts

description: Diabetic foot ulcers (DFUs) are a serious complication of diabetes. Previous exposure to hyperglycemic conditions accelerates a decline in cellular function through metabolic memory despite normalization of glycemic control. Persistent, hyperglycemia-induced epigenetic patterns are considered a central mechanism that activates metabolic memory; however, this has not been investigated in patient-derived fibroblasts from DFUs. We generated a cohort of patient-derived lines from DFU fibroblasts (DFUF), and site- and age-matched diabetic foot fibroblasts (DFF) and non-diabetic foot fibroblasts (NFF) to investigate global and genome-wide DNA methylation patterns using liquid chromatography/mass spectrometry and the Illumina Infinium HumanMethylation450K array. DFFs and DFUFs demonstrated significantly lower global DNA methylation compared to NFFs (p = 0.03). Hierarchical clustering of differentially methylated probes (DMPs, p = 0.05) showed that DFFs and DFUFs cluster together and separately from NFFs. Twenty-five percent of the same probes were identified as DMPs when individually comparing DFF and DFUF to NFF. Functional annotation identified enrichment of DMPs associated with genes critical to wound repair, including angiogenesis (p = 0.07) and extracellular matrix assembly (p = 0.035). Identification of sustained DNA methylation patterns in patient-derived fibroblasts after prolonged passage in normoglycemic conditions demonstrates persistent metabolic memory. These findings suggest that epigenetic-related metabolic memory may also underlie differences in wound healing phenotypes and can potentially identify therapeutic targets.
DOI: 10.6084/m9.figshare.20347434.v2
title: 5_results_complete.csv

description: Contains current (cur) and future (fut) climate data for each species at each city where is planted for all climate variables, the exposure of each city, and the safety margin and future risk (two time periods [2050 and 2070] and two RCP [4.5 and 6.0]) for each species.
DOI: 10.6084/m9.figshare.20501790.v1
title: Volume-Pressure Data Mendez et al 2022

description: High-pressure XRD data collected on (Mg,Fe)O in the DAC
DOI: 10.6084/m9.figshare.24450445.v2
title: Data for "Machine Learning Design of Perovskite Catalytic Properties"

description: This Figshare repository contains data for the paper "Machine Learning Design of Perovskite Catalytic Properties" by Ryan Jacobs, Jian Liu, Harry Abernathy and Dane Morgan, to be published (2023).
DOI: 10.6084/m9.figshare.25370692.v1
title: Raw data file xlsx

description: Data description for the protective effect of chicory against enteritis in juvenile ostriches
DOI: 10.6084/m9.figshare.28898912.v1
title: recon publication .docx

description: In the field of cybersecurity, the reconnaissance phase is pivotal for identifying potential vulnerabilities and securing systems. Typically the first step in penetration testing, it involves gathering detailed information about a target. Traditionally, reconnaissance is a time-consuming and error-prone process, relying heavily on manual efforts and multiple disjointed tools.This project aims to automate and streamline the reconnaissance process by integrating various tools and techniques into a single, unified system. By automating the discovery of subdomains, open ports, and web application screenshots, the tool significantly reduces the time and effort required for manual reconnaissance tasks. The proposed solution offers an efficient, scalable approach to reconnaissance, providing cybersecurity professionals with accurate and comprehensive results in a fraction of the time.<br>
DOI: 10.6084/m9.figshare.3514370.v1
title: Appendix F. Temporal trends in aboveground net primary production, 2003–2006, as estimated by satellite imagery with the normalized difference vegetation index and fecal chlorophyll from piecewise regressions over the winter–spring transition for 2004, 2005, and 2006.

description: Temporal trends in aboveground net primary production, 2003–2006, as estimated by satellite imagery with the normalized difference vegetation index and fecal chlorophyll from piecewise regressions over the winter–spring transition for 2004, 2005, and 2006.
DOI: 10.6084/m9.figshare.7619198.v2
title: Data for: Strict protected areas are essential for the conservation of larger and threatened mammals in a priority region of the Brazilian Cerrado. Ferreira et al. 2020, Biological Conservation

description: File: Det-NonDet_mammals_GBFerreiraetal2019_ecxlGblTh.csv Description: Detection/non-detection data on mammals &gt;1 kg recorded at 501 camera trap sites distributed across seven protected areas in the Brazilian Cerrado. Details on data collection and analysis are available in the 'methods' section of the paper and in the Supporting information.Data on globally threatened mammals were excluded.<br> File: Site_covs_scaled_GBFerreira_etal_2019.csv Description: Scaled values of covariates included in the multi-species occupancy model. Details on these variables are available in the 'methods' section of the paper and in the Supporting information.<br><br>
DOI: 10.6084/m9.figshare.c.3614714_d9.v1
title: Additional file 3: of Expression of OsMYB55 in maize activates stress-responsive genes and enhances heat and drought tolerance

description: List of all DEG in leaves. (XLSX 5263 kb)
DOI: 10.17632/6ghdz52pd7
title: Segmented Dataset Based on YOLOv7 for Drone vs. Bird Identification for Deep and Machine Learning Algorithms

description: Unmanned aerial vehicles (UAVs) have become increasingly popular in recent years for both commercial and recreational purposes. Regrettably, the security of people and infrastructure is also clearly threatened by this increased demand. To address the current security challenge, much research has been carried out and several innovations have been made. Many faults still exist, however, including type or range detection failures and the mistaken identification of other airborne objects (for example, birds). A standard dataset that contains photos of drones and birds and on which the model might be trained for greater accuracy is needed to conduct experiments in this field. The supplied dataset is crucial since it will help train the model, giving it the ability to learn more accurately and make better decisions. The dataset that is being presented is comprised of a diverse range of images of birds and drones in motion. Pexel website's images and videos have been used to construct the dataset. Images were obtained from the frames of the recordings that were acquired, after which they were segmented and augmented with a range of circumstances. This would improve the machine-learning model's detection accuracy while increasing dataset training. The dataset has been formatted according to the YOLOv7 PyTorch specification. The test, train, and valid folders are contained within the given dataset. These folders each feature a plaintext file that corresponds to an associated image. Relevant metadata regarding the discovered object is described in the plaintext file. Images and labels are the two subfolders that constitute the folders. The collection consists of 20,925 images of birds and drones. The images have a 640 x 640 pixel resolution and are stored in JPEG format.
DOI: 10.17632/hn866dtzrr
title: Mango dataset 2 -enhance

description: Mango original dataset (300 images) and Mango enhance dataset （from mango original dataset）with four varieties, Gui Qi, Ao Mango, Jin Huang, and Tainong, and two weather conditions, sunny and cloudy.
DOI: 10.6084/m9.figshare.13400009.v2
title: Data of test system

description: Data of test system in the paper entitled "Coordinated Operation Strategy for a Virtual Power Plant with Multiple DER Aggregators".
DOI: 10.6084/m9.figshare.13578467.v1
title: Vimentin Separations from MDA-MB-231 GFP-actin Cells

description: SIFTER gel image of vimentin intermediate filaments and monomers separated from single MDA-MB-231 GFP-actin cells. Please note that the word "smooth" is included in the file names to indicate images were median filtered (using the Fiji "Remove Outliers" macro with settings: threshold = 50 AFU, and pixel radius = 2). <br>
DOI: 10.6084/m9.figshare.16930171.v1
title: Supplementary Material for: Genetic Characterization of Hereditary Cancer Syndromes Based on Targeted Next-Generation Sequencing

description: A hereditary cancer syndrome is a genetic predisposition to cancer caused by a germline mutation in cancer-related genes. Identifying the disease-causing variant is important for both the patient and relatives at risk in cancer families because this could be a guide in treatment and secondary cancer prevention. In this study, hereditary cancer panel harboring cancer-related genes was performed on MiSeq Illumina NGS system from peripheral blood samples. Sequencing files were fed into a cloud-based data analysis pipeline. Reportable variants were classified according to the American College of Medical Genetics and Genomics guidelines. Three hundred five individuals were included in the study. Different pathogenic/likely pathogenic variants were detected in 75 individuals. The majority of these variants were in the <i>MUTYH</i>, <i>BRCA2</i>, and <i>CHEK2</i> genes. Nine novel pathogenic/likely pathogenic variants were identified in <i>BRCA1</i>, <i>BRCA2</i>, <i>GALNT12</i>, <i>ATM</i>, <i>MLH1</i>, <i>MSH2</i>, <i>APC</i>, and <i>KIT</i> genes. We obtained interesting and novel variants which could be related to hereditary cancer, and this study confirmed that NGS is an indispensable method for the risk assessment in cancer families.
DOI: 10.6084/m9.figshare.22807238.v3
title: SelfTargeting h5ad data encoded into 912 classes

description: filename is formated as : CellType_Repeat_Coding.h5ad <br> h5ad with event frequency stored in adata.X event description saved in adata.var meta data for each Guide-Target pair saved in adata.obs <br> To download and unzip the file copy the link address within terminal : wget --no-check-certificate LINK within terminal : mv 2 2.zip unzip 2.zip
DOI: 10.6084/m9.figshare.24463402.v1
title: Data for acoustic+food experiment with Gryllus lineaticeps

description: Availability of mates and food influence the plasticity in strategies mediating life-history tradeoffs in an insect
DOI: 10.6084/m9.figshare.26014120.v1
title: 农业碳排放

description: 稿件数据
DOI: 10.6084/m9.figshare.26196038.v1
title: PONE-D-24-00293 Original data

description: <b>Dataset of "Bactericidal effect of </b><b>far </b><b>ultraviolet-C irradiation at 222 nm against bacterial peritonitis"</b>
DOI: 10.6084/m9.figshare.28543697.v1
title: Dataset for Article Martin et al. 2025 Ecosphere "Beyond the edge: environmental characteristics of northwestern Eurasian primary forests contrast with surrounding areas"

description: This dataset corresponds to the one used for the analyses in the article “Beyond the edge: environmental characteristics of northwestern Eurasian primary forests contrast with surrounding areas” published in 2025 by M. Martin, N. Khula, T. Braslavskaya, A. Komarova, T. Kuuluvainen, A. Aleinikov and O. Valeria in Ecosphere.<br>The columns of the dataset correspond to the following information: - REGION: Study region- ID_PRIMARY_FOREST: Identifier of the primary forest selected for analysis- BUFFER: “CORE” if the virtual plot is within the primary forest, “BUFF1” if it corresponds to the 1km Buffer around its boundaries.- ID_VIRTUAL_PLOT: Identifier of the virtual plot created within the study area.- LAND_COVER: Land cover defined by Copernicus at the location of the virtual plot- ELEVATION: Altitude in meters at the location of the virtual plot- SLOPE: Slope in percent at virtual plot location- TPI: Topographic position index (no unit) at virtual plot location- HND: Height to nearest drainage in meters at virtual plot location- DIST_NEAREST_RIVER: Distance to nearest river in kilometers at virtual plot location<br>The data source is available in Table 2 of the article.
DOI: 10.6084/m9.figshare.28815089.v3
title: major_epidemic_animal_diseases_China.xlsx

description: We present a comprehensive, standardized monthly time-series dataset documenting the incidence of 34 major epidemic animal diseases in China from December 2004 to December 2024. The dataset includes records of affected and deceased animals across three disease categories, compiled from two primary sources: (1) the Official Veterinary Bulletin (2004–2021) and (2) the National Statistical Report on Major Animal Diseases (2023–2024). Data gaps between October 2021 and March 2023 are explicitly noted and likely attributable to disruptions during the COVID-19 pandemic.
DOI: 10.6084/m9.figshare.28873409.v2
title: Análise temática

description: Análise temática realizada.
DOI: 10.6084/m9.figshare.3563622.v1
title: Appendix B. Correlation matrix of environmental variables and plant community response variables.

description: Correlation matrix of environmental variables and plant community response variables.
DOI: 10.6084/m9.figshare.735909.v1
title: Dataset S6 - Phylogenetic Profile Comparison

description: Phylogenetic profile of metagenomic contigs using PhymmBL and Metaxa. Calculations via calc_phylum_bp.py script, using Datasets S2-S5.
DOI: 10.6084/m9.figshare.8146076.v2
title: Single-step genome-wide association study for resistance to Piscirickettsia salmonis in rainbow trout (Oncorhynchus mykiss)

description: These files correspond to the supplementary material of the scientific article entitled "Single-step genome-wide association study for resistance to Piscirickettsia salmonis in rainbow trout (Oncorhynchus mykiss)"
DOI: 10.17632/5cmwgzvx53
title: Global, regional and national burden of depressive disorders in adolescents and young adults, 1990–2021

description: This study utilized data from the **Global Burden of Disease (GBD) 2021 database** to assess the **global, national, and regional burden** of depressive disorders among individuals aged **15–39 years** from **1990 to 2021**. Key metrics analyzed included **incidence rates**, **disability-adjusted life years (DALYs)**, and the contributions of various **risk factors** to DALYs. All incidence and DALY rates were standardized per **100,000 population** and reported with **95% uncertainty intervals (UIs)**. Additionally, the study projected the burden of depressive disorders up to **2050** using **Bayesian age–period–cohort (BAPC) modeling**.
DOI: 10.17632/6tjhd74t5r
title: Accurate estimation of interfacial thermal conductance between silicon and diamond enabled by a machine learning interatomic potential

description: "TrainData.cfg" and "TrainData.xyz" are the complete dataset obtained by AIMD calculations with the "cfg" and "xyz" formats, respectively. 
In the "cfg" format, the atomic types of 6 and 14, refer to C and Si, respectively.
The "p.mtp" is the trained MTP, in which for LAMMPS calculations 1 and 2, refer to C and Si, respectively.
"INCAR" and "POTCAR" are the related VASP input data for AIMD calculations.
"LAMMPS.zip" is an example of LAMMPS input files for the NEMD calculations. 
"ALAMODE.zip" includes input files for ALAMODE calculations.
DOI: 10.17632/mdcfwnmvr5
title: Liver Trauma CMJAH

description: Raw data plus statistical analyses and data keys for data on liver trauma at CMJAH
DOI: 10.17632/sjmz9fy9zv
title: Boustani

description: Audio-Visual Entrainment, Cranio-Electro Stimulation, and Sensory Involvement: Rival Effects on Attention and L2 Vocabulary Retention
DOI: 10.17632/skp6bm9jfh
title: Published Journal of Studies in Islam and Psychology; No. 17

description: The philosophy of psychology with a critical outlook from the perspective of Islam;
 The uses of psychology in the service of the Islamic society and its needs;
 The formation of psychology in the Islamic society;
 Psychological analysis of Islamic concepts in areas such as:
 1. Anthropology, such as: banned, impatience, hasty, captious, pious, faithful;
 2. Belief, such as: God, resurrection, Imamate, intercession, Paradise, Hell and ...;
 3. Value, such as: repentance, trust, self-esteem, mental relaxation, grief, fear;
 4. Practical instructions of Islam, such as: qisas (retaliation), prayers, inheritance, hajj, khums (one fifth);
 Study of psychological findings from Islamic perspective in terms of critique, confirmation and completion, alternative presentation, presentation of new theory;

To let individual researchers and libraries have access to the most recent research findings in the field, the journal allows open-access to its articles. This journal utilizes the Magiran and Noormags preservation systems to create a distributed archiving system for individual and libraries and to permit libraries stakeholders to create permanent archives of the journal.
DOI: 10.6084/m9.figshare.11605818.v3
title: Multi-model (VIC, NoahMP, SAC-SMA, and Catchment) parameters and representative outputs; pre-processing and post-processing data and scripts, for analyses in the Northern Sierra Nevada Basin, the Southern Sierra Nevada Basin, the Upper Colorado Basin, and the Columbia Basin, from 1916 to 2018.

description: This package includes all the representative data used in the analyses in the paper entitled "Understanding the role of asymmetrical warming on streamflow changes in the Western U.S.", submitted by Zhaoxin Ban, Tapash Das, Dan Cayan, Mu Xiao, and Dennis P. Lettenmaier to <i>Water Resources Research.</i>
DOI: 10.6084/m9.figshare.13076267.v1
title: Metabolic rate and life history trait datasets (incl. phylogeny)

description: Datasets containing estimates of resting metabolic rate (RMR), the body masses and temperatures associated with the RMR measurements, and various life history traits. RMR data was selected for inclusion into the dataset using three criteria; (1) selecting RMR data based upon the largest sample size, (2) selecting RMR data based upon the largest average measurement body mass, and (3) selecting RMR data based upon the measurement temperature closest to 20˚C, resulting in the 'sample size' dataset, the 'mass' dataset, and the 'temperature' dataset, respectively. <br>We also calculated a weight-based measure of growth performance (phi) using both species-specific and group-specific length-weight regressions (the phi 44 dataset) or species-specific but not group-specific length-weight regressions (the phi 84 dataset.<br>"SpeciesWithoutProxies.csv" is a list of species for which life history trait data from 'proxy' species was not used. <br>"TeleostElasmoPhylogeny.tre" is a supertree of teleosts and elasmobranchs constructed from phylogenies from Rabosky et al. 2018 (Nature) and Stein et al. 2018 (Nature Ecology & Evolution).
DOI: 10.6084/m9.figshare.14258204.v1
title: Raw data for: Size compartmentalisation of energy channeling in terrestrial belowground food webs

description: Data on soil consumer communities, from protists to large invertebrates, from 8 forest sites in European Russia. Density, biomass, community metabolism and trophic level of predators and grazers in each subplot and layer are given.
DOI: 10.6084/m9.figshare.21923322.v2
title: Variables used in the validation section

description: The variable data used in the validation section mainly contains corporate economic performance indicators, corporate environmental performance indicators, corporate social performance indicators, comprehensive verification index and control variables.
DOI: 10.6084/m9.figshare.23659259.v1
title: Genetic parameters and genetic dissimilarity of Gower in black oat

description: ABSTRACT: This research evaluated the agronomic performance through mixed models, and determined the genetic divergence between black oat genotypes. The experiment was carried out at Federal University of Santa Maria, Frederico Westphalen/RS. Fourteen black oat genotypes were evaluated, being 11 lines developed by Breeding Program of University, and three commercial cultivars (IAPAR 61, UPFA 21 - Moreninha and, IPR Cabocla). We evaluated quantitative traits associated to plant height, cycle, dry mass yield and seeds yield; and 19 qualitative traits, being these morphological descriptors. The results showed that lines UFSMFW 2-05 and UFSMFW 2-07 stand out with characteristics such as early cycle, higher dry mass and grain yield. Divergence analysis revealed the formation of three distinct groups, indicating the presence of variability. These results suggested the potential for the development of new cultivars of black oat, presenting early cycle and good grain yield.
DOI: 10.6084/m9.figshare.25971616.v1
title: Speckle displacement images sequence data.zip

description: Data Usage:This dataset aims to test the displacement measurement performance using the phase-based optical flow method with the complex steerable pyramid.Data Description:This dataset includes 3 simulated speckle displacement image sequences and 1 experimental speckle displacement image sequence.The simulated speckle displacement image sequences include:A translational motion sequence with a displacement range of 0-1 pixels, containing 11 images with a size of 140x140 pixels and a CSV file with ground truth displacement values.A translational motion sequence with a displacement range of 0-9 pixels, containing 91 images with a size of 1600x1200 pixels and a CSV file with ground truth displacement values.A sinusoidal vibration motion sequence with an amplitude of 1 pixel, containing 121 images with a size of 1600x1200 pixels and a CSV file with ground truth displacement values.The experimental speckle displacement image sequence includes:A translational motion sequence with a displacement range of 0-1.1 pixels, containing 45 images with a size of 1600x1200 pixels and a CSV file with ground truth displacement values. These experimental images were generated by decoding the source image files provided by the "Experimental image dataset for validation of the noise-induced bias that affects Digital Image Correlation" using DCRAW software. The source files can be downloaded from https://data.mendeley.com/datasets/2423jdt345/1.<br>
DOI: 10.6084/m9.figshare.26185967.v5
title: Datasets of wing strain sensor and surrounding wind vectors.

description: Training and Test datasets of wind prediction through wing strain sensor.