cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/kgwsthf2w6
title: Pomegranate Images Dataset

description: The dataset consists of images capturing various growth stages of pomegranates. The images were collected from May to September in an orchard located within the Henan Institute of Science and Technology in China. There are a total of 5857 images in the dataset, and each image is labeled and classified into one of five periods: bud, flower, early-fruit, mid-growth, and ripe.
The dataset was curated and hosted by the School of Computer Science and Technology at Henan University of Science and Technology, in collaboration with researchers from the Artificial Light Plant Factory at the same university. The purpose of creating this dataset is to support the development of computer applications that utilize machine learning and computer vision algorithms. By studying the different growth stages of pomegranates, researchers can effectively monitor the condition of each growth stage and enable early detection of any abnormal growth conditions. This early detection can be beneficial for farmers, as it can help them minimize economic losses.
DOI: 10.4225/03/57428be427558
title: The X-ray Crystal Structure of Full-length Human Plasminogen

description: Plasminogen is the proenzyme precursor of the primary fibrinolytic protease plasmin. Circulating plasminogen, which comprises a Pan-apple (PAp) domain, five kringle domains (KR1-5), and a serine protease (SP) domain, adopts a closed, activation-resistant conformation. The kringle domains mediate interactions with fibrin clots and cell-surface receptors. These interactions trigger plasminogen to adopt an open form that can be cleaved and converted to plasmin by tissue-type and urokinase-type plasminogen activators. Here, the structure of closed plasminogen reveals that the PAp and SP domains, together with chloride ions, maintain the closed conformation through interactions with the kringle array. Differences in glycosylation alter the position of KR3, although in all structures the loop cleaved by plasminogen activators is inaccessible. The ligand-binding site of KR1 is exposed and likely governs proenzyme recruitment to targets. Furthermore, analysis of our structure suggests that KR5 peeling away from the PAp domain may initiate plasminogen conformational change.
DOI: 10.6084/m9.figshare.16586228.v5
title: AVONET: morphological, ecological and geographical data for all birds (Tobias et al 2022 Ecology Letters doi: https://doi.org/10.111/ele.13898)

description: The AVONET database contains comprehensive functional trait data for all birds, including six ecological variables, eleven continuous morphological traits, and information on range size and location. Raw morphological measurements are available from 90020 individuals of 11009 extant bird species sampled from 181 countries. These data are also summarised as species averages in three taxonomic formats, allowing integration with a global phylogeny, geographical range maps, IUCN Red List data, and the eBird citizen science database. <br>The full AVONET dataset including raw morphological measurements as well as species averages for each taxonomy is provided in 'AVONET Supplementary dataset 1' <br>Data on duplicate measurements for a subset of individuals are provided in 'Supplementary dataset 2'<br>Data and Code to reproduce the analyses and figures presented in Tobias et al 2022 (Ecology Letters doi: https://doi.org/10.111/ele.13898) is included in the 'ELEData' and 'ELECode' zip files.<br><br>
DOI: 10.6084/m9.figshare.17055851.v1
title: ADOMO database

description: Australian Direct Observation Mammal Occurrence (ADOMO) Database
DOI: 10.6084/m9.figshare.28693403.v3
title: GEE原始数据代码、Python 科学数据可视化和结果

description: 该数据集包含GEE数据下载代码、基于 Python 的科学可视化以及与发表在 PLOS Climate 上的题为“使用 kNDVI 评估内蒙古自治区植被覆盖率的时空变化（2004-2023）”的研究文章相关的部分结果。内容：原始数据：GEE数据下载代码、CSV 格式的原始实验数据集。Python 可视化脚本：用于生成图形表示的 Jupyter 笔记本和 Python 脚本。部分结果：已处理的数据和中间计算。目的和可重复性：数据格式为 CSV，以便于访问。提供 Python 脚本来复现关键指标。<br>
DOI: 10.6084/m9.figshare.c.3666502_d50.v1
title: Example of Egyptian fruit bat vocalization - Social call (5)

description: An example of a single syllable of an Egyptian fruit bat social vocalization (one of many variations found in the database)
DOI: 10.6084/m9.figshare.19738846.v1
title: Dataset of PLOS Computational Biology code sharing rates, 2019-2022

description: This dataset contains article metadata and information about code generation and sharing rates for research articles published in <em>PLOS Computational Biology</em> from 1 January 2019 to 31 March 2022. The decriptive metadata, e.g. article title, publication data, author countries, is taken from the article .xml files. Additional information around code generation and sharing rates was derived using Natural Langugage Processing. The code used for this is available at http://doi.org/10.6084/m9.figshare.19738876. The Excel file contains 4 worksheets: 1) A README 2) Raw data 3) Calculations of the code sharing rates that are used in the Editorial 4) Data used to create Figure 1 in the Editorial. <br> The Editorial that this dataset supports is: Cadwallader, L., F. Mac Gabhann, J. Papin & V. E. Pitzer (2022) Advancing code sharing in the computational biology community. <em>PLOS Computational Biology</em> 18(6): e1010193. https://doi.org/10.1371/journal.pcbi.1010193.
DOI: 10.6084/m9.figshare.23944935.v2
title: Table S5: HN-score Data for All Human Genes

description: To evaluate the genes whose expression was altered by Heat stress, an index called the Heat-stress and Non-treatment score (HN-score) was calculated for each gene in human and mouse. The HN-score was calculated by subtracting the instances of genes classified as downregulated from those classified as upregulated. The HN-score were calculated using the script (https://github.com/no85j/hypoxia_code) registered on GitHub.
DOI: 10.6084/m9.figshare.25062857.v1
title: Datasets used for performance measurements of the GPU algorithm for identifying longest flow paths in catchments

description: This repository is part of the work presented in A GPU algorithm for identifying the longest flow paths in catchments.<br>
DOI: 10.6084/m9.figshare.28781693.v1
title: Detecting Deception with Emotion -The Role of Emotional AI in Combating Social Engineering Attacks by Stephen Mikah Makoshi

description: <b>Detecting Deception with Emotion: The Role of Emotional AI in Combating Social Engineering Attacks</b><b>Author:</b> Stephen Mikah Makoshi<br><b>Date:</b> April 12, 2025<br><b>Type:</b> Copyrighted Manuscript<b>Detailed Description:</b><br>This manuscript provides a comprehensive investigation into the integration of <b>Emotional Artificial Intelligence (Emotional AI)</b> into modern cybersecurity practices, with a focus on its potential to combat <b>social engineering attacks</b>. Unlike traditional cyber threats that exploit system vulnerabilities, social engineering targets the human psyche—manipulating users through tactics based on <b>fear, trust, urgency, authority, and curiosity</b>.Authored by <b>Stephen Mikah Makoshi</b>, the paper begins by unpacking the psychology behind social engineering and detailing the most prevalent attack techniques, including phishing, grooming, pretexting, and baiting. It emphasizes that human error continues to be the weakest link in cybersecurity despite the advancement of technical defenses, thereby underscoring the need for emotionally aware systems that can interpret and respond to human behavior.The core of the study introduces Emotional AI as an emerging, multidisciplinary approach that combines<b> </b>Natural Language Processing (NLP), computer vision, behavioral biometrics, and machine learning to assess emotional cues in real time. These cues—extracted from text, voice tone, facial expressions, and user interaction patterns—can be used to detect signs of manipulation or distress that precede a social engineering exploit.The paper outlines how Emotional AI can be applied across various domains within cybersecurity, including:<b>Phishing email detection</b> through sentiment and tone analysis.<b>Voice and chatbot security</b> by analyzing stress and urgency in conversations.<b>Insider threat monitoring</b> through behavioral and emotional baselining.<b>Continuous real-time monitoring</b> to flag deviations in user behavior tied to emotional shifts.Beyond its practical applications, the manuscript also explores the ethical, legal, and social implications of deploying Emotional AI. Issues such as emotional data privacy, informed consent, algorithmic bias, and compliance with global data protection regulations (e.g., GDPR, CCPA) are critically examined.To support real-world adoption, the paper presents a detailed implementation framework covering:Data collection and multimodal input analysisMachine learning model training and customizationIntegration with SIEM and behavioral analytics toolsEthical governance and compliance safeguardsPilot testing and continuous system improvementFinally, the manuscript concludes that Emotional AI is not a replacement for traditional cybersecurity systems, but a <b>strategic augmentation</b>—a tool that strengthens the "human firewall" by equipping systems with the emotional awareness necessary to detect and disrupt socially engineered cyber threats.
DOI: 10.17632/dpyngbvc47
title: Supplementary material to the paper entitled Evaluation of Machine Learning Algorithms for Early Diagnosis of Deep Venous Thrombosis

description: Dataset, pair plot, and trained ML models from the paper Evaluation of Machine Learning Algorithms for Early Diagnosis of Deep Venous Thrombosis.
DOI: 10.17632/hdfv7dm9gc
title: Sensation matters: applying masking potential to assess noise effects on global bats

description: Additional Supplementary Materials for this manuscript include: 
Data S1: Sheet 1 for echolocation calls, Sheet 2 for social calls, and Sheet 3 for audiograms.
Data S2: Extra information for the literature source of the audiogram and the empirical impact range.
Data S3: MATLAB scripts used in Supplementary Text for calculating the masking potential and impact range.
Data S4: The relationship between the maximum impact range of traffic noise and species characteristics.
DOI: 10.17632/ksz57tk5vc
title: PaddyNet An Organized Dataset of Paddy Leaves for a Smart Fertilizer Recommendation System

description: PaddyNet- the dataset is used to helps of farmers and recommend need based nitrogen fertilizers. The entire data set is collected from the paddy fields in the Aman season by our own developed application with the tremendous help of Bangladesh Agricultural Research Institute (BARI), Jashore, Bangladesh and the office of the Upazila Agriculture officer near Jashore. We have used our application in Nokia 3 (8MP Camera) and Samsung S8 (12MP Camera) devices for collecting data. carefully labeled our total data set corresponding to the LCC level with the help of domain experts. Data validation has been carried out by the two principal scientific officers at Bangladesh Agricultural Research Institute (BARI) Jashore.

The color of the paddy leaf depends on the maturity as well as Nitrogen concentration. However, Nitrogen concentration can determine by analysing only the top most leaves. At first, a total of 560 top most paddy leaf images were taken. The resolution of the images were 500*500 pixels and we used our developed mobile application where each of 2 to 5 LCC level has 158, 162, 124 and 116 number of images respectively. Moreover, We have augmented initially our 560 paddy leaf images to 6000 where each LCC level has1500 paddy leaf images after augmentation and saved in the jpg file format.
DOI: 10.6084/m9.figshare.18631901.v3
title: Annexure_ClinicalTrials_Prediction_IntegratedData.zip

description: The zip file contains the integrated data that shall be kept in Neo4j data folder. <br>
DOI: 10.6084/m9.figshare.28726628.v3
title: Solving an inverse problem with generative models

description: This project contains the dataset used in the manuscript "Solving an inverse problem with generative models". The code and documentation for using this data set are available in the manuscript. See the preprint at https://doi.org/10.26434/chemrxiv-2025-nl9gl.
DOI: 10.6084/m9.figshare.28748924.v1
title: VCF file with SPET sequencing data of "DroughtMarkers" project

description: A data set of 515 individual trees was collected from five beech stands in the South-Eastern Romanian Carpathians along an altitudinal gradient associated with changes in precipitation and temperature. Solomon34 was later removed, because it is not <i>Fagus sylvatica</i>. The beech stands are referred to as Lempes, Tampa, Solomon, Lupului and Ruia. In Ruia, 110, in Lupului and Lempes 101, in Solomon 102 and in Tampa 99 trees were sampled. Lempes was the lowest elevation site at 550 to 600 m with the lowest mean annual precipitation of 712 mm, followed by Tampa located at 650-700 m with 791 mm, Solomon at 800 to 900 m with 855 mm and Lupului at 1000 to 1150 m with 957 mm mean annual precipitation. Ruia was the highest location at 1300 to 1450 m with the highest mean annual precipitation of 1023 mm. The tree stands are naturally regenerating and were established more than 100 years ago.
DOI: 10.17632/mwmbrfz6sd
title: Analysis scRNAseq mouse SVZ

description: We selected previously published single-cell RNA sequencing datasets of mouse SVZ NSCs that used different common NSC markers for their isolation. The following datasets were used:
Dulken et al., Cell Reports 2017 Accession number: PRJNA324289
Hamed et al., Nature Communications 2022 GEO: GSE200202
Kalamakis et al., Cell 2019 GEO: GSE115626
Mizrak et al., Cell Reports 2020 GEO: GSE134918
Xie et al., PNAS 2020 GEO: GSE107220
Analysis was performed on R studio, using Seurat. For the full description of the methodology please see Apostolou S Stem Cell Reports 2025. Please cite Apostolou S et al., Stem Cell Reports 2025 when using this data.
DOI: 10.17632/tfg4byhch8
title: I(V) data sets on Thermoelectric Generators

description: Current voltage data of Thermoelectric Generators (TEGs), model SP-184827145.
DOI: 10.6084/m9.figshare.13507050.v2
title: Size-density fractionation

description: Data of physical fractionation of soil organic matter, correlations among variables
DOI: 10.6084/m9.figshare.13604186.v1
title: Brain Coronal HnE Adata

description: cite original dataset: https://support.10xgenomics.com/spatial-gene-expression/datasets/1.1.0/V1_Adult_Mouse_Brain
DOI: 10.6084/m9.figshare.22691473.v1
title: Untitled Item

description: The MIDOG++ dataset represents an extension of the data set used in the MIDOG 2021 and 2022 challenges. We provide region of interest images from 503 histological specimens of seven different tumor types with variable morphology: breast carcinoma, lung carcinoma, lymphosarcoma, neuroendocrine tumor, cutaneous mast cell tumor, cutaneous melanoma, and (sub)cutaneous soft tissue sarcoma. The human and canine samples were processed and stained at different human and veterinary pathology laboratories with standard H&E dye and digitized with different digital whole slide image scanners. We provide labels for 11,937 mitotic figures that have been differentiated against 14,351 imposter cells in a blinded consensus by two pathologists and a final decision by a third pathologist for disagreed labels.
DOI: 10.6084/m9.figshare.24978213.v1
title: Interview Guide

description: This is the questions that guide my interview
DOI: 10.6084/m9.figshare.27037852.v3
title: <b>Habituation of wild black-and-white ruffed lemurs (</b><b><i>Varecia variegata</i></b><b>) in Vohibe Forest, Madagascar</b>

description: The files presented in this repository contains the datasets we used in the analysis of our research concerning the "<b>Habituation of wild black-and-white ruffed lemurs (</b><b><i>Varecia variegata</i></b><b>) in Vohibe Forest, Madagascar</b>".The file "Hab_data_5min.csv" contains the dataset we used to analyze the changes in the activity budget during the habituation of the black-and-white ruffed lemurs in Vohibe. The file includes the nine behavioral categories recorded during the 5-minute instantaneous scans with their daily number, and the total number of 5-minute scans for that day. Each column is explained as:<br>GROUP: subgroup ID followed (VV1, VV2, VV3)FOCAL: focal ID (We did not analyze the focal ID as it was possible that we switched focal during the day)DATE: date of data collection (dd/mm/yy)WEEKS: week code representing the date of the study, including weeks that we did not collect dataOBSERVATION_WEEKS: week code representing the date of data collectionDAYS: day code representing its calendar week spent during the habituation, including days with no data collectedOBSERVATION_DAYS: day code representing its respective observation weekBEHAVIOR: nine behavioral categoriesNUMBER: daily number recorded for each behaviorTOT_NUMBER: total number of 5-minute scans for each dayThe file "Hab_Occ.csv" contains the dataset used to analyze the changes to the rates of behavioral bouts during the habituation of the black-and-white ruffed lemurs in Vohibe. The file includes the six behavioral categories recorded during the all-occurrences sampling method with their daily number, and the number of 5-minute scans for which the animals were not marked absent for that day. each column is explained as:<br>GROUP: subgroup ID followed (VV1, VV2, VV3)DATE: date of data collection (dd/mm/yy)WEEKS: week code representing the date of the study, including weeks that we did not collect dataOBSERVATION_WEEKS: week code representing the date of data collectionDAYS: day code representing its calendar week spent during the habituation, including days with no data collectedOBSERVATION_DAYS: day code representing its respective weekOCCURRENCE: six behavioral categoriesSCAN_SS_A: total number of 5-minute scans for which the animals were present for each dayNUMBER: daily number recorded for each behaviorThe file "Habituation test.rmd" contains the codes we used for our analysis for this manuscript in RStudio<br>
DOI: 10.6084/m9.figshare.29083691.v1
title: Biomass dataset

description: Plant biomass dataset
DOI: 10.17632/7bsc526pzn
title: Dataset of Indoor Air Pollutant Concentration using Low Cost IOT Based System

description: Indoor air pollutant concentration data is collected for all the seasons in Pune city, India, from internet of things-based system built using low cost sensors. The raw data contains 1,39,448 records collected from Nov 2020 to Dec 2021. Air pollutant PM2.5 (Particulate Matter) is measured using GP2Y1010AU0F Dust Smoke Particle Sensor, NO2 (Nitrogen Dioxide), NH3 (Ammonia) and CO (Carbon Monoxide) pollutant measured using MICS-6814 sensor. CO2 (Carbon Dioxide) and TVOC (Total Volatile Organic Compounds) measurement is done using CCS811 sensor, Ozone (O3) measured using MQ131 Semiconductor Sensor. Temperature, Humidity measured using BME 280 sensor. Measurement units of  NH3 is PPM, NO2 in PPM, CO in PPM, PM2.5 in ug/m3, Temperature in Celsius, Pressure in hPa, Altitude in ft, Humidity in RH, CO2 in PPM, TVOC in PPB, Ozone in PPB. This data can be used for study and evaluations of prediction models and low-cost sensor data. It can be used for the study of the pollutant’s patterns in COVID-19 pandemic.  It will help policymakers to develop policies to monitor air pollution impact.
DOI: 10.6084/m9.figshare.14068241.v1
title: Psychometric Assessment of the Persian Translation of the Interpersonal Mindfulness Scale with Undergraduate Students

description: Interpersonal mindfulness is a construct that significantly contributes to social interaction. <br> To date, no validated measure assessing interpersonal mindfulness has been developed in Iran. Therefore, the aim of this study was to translate and validate the Interpersonal Mindfulness Scale (IMS; Pratscher et al., 2019) among Iranian undergraduate students
DOI: 10.6084/m9.figshare.20238813.v1
title: ndist2vec

description: <strong>ndist2vec</strong>
DOI: 10.6084/m9.figshare.25143875.v1
title: Supplementary Material for: Balloon Dilatation for Bronchoscope Delivery (BDBD) in a Swine Model: A Novel Technique for Ultra-Peripheral Lung Field Access and Accurate Biopsy

description: Introduction: In transbronchial biopsy of peripheral pulmonary lesions, the bronchoscope can reach only a limited depth due to the progressive narrowing of bronchi, which may reduce the diagnostic rate. This study examined the balloon dilatation for bronchoscope delivery (BDBD) technique, employing a novel balloon device to enhance bronchoscopy into the peripheral lung areas.
Methods: Anaesthetised swine served as our primary model. Using computed tomography (CT) scans, we positioned virtual targets characterised by a positive bronchus sign and a diameter of 20 mm beneath the pleura. The bronchoscope was navigated along the pathways determined from the CT images. We performed balloon dilatation when bronchial narrowing obstructed progress to assess whether balloon dilatation would enable the bronchoscope to enter further into the periphery.
Results: We established 21 virtual targets on the CT scans. An average of 12.1 branches were identified along the pathways on the CT scans; however, bronchoscopy without BDBD only allowed access to an average of 6.7 branches. Based on 72 balloon dilatations with 3.0-mm or 4.0-mm ultra-thin bronchoscopes, there was an average increased access of 3.43 and 5.14 branches per route, respectively, with no significant BDBD complications. The bronchoscope was able to reach the planned location along all pathways, and the mean final bronchoscopic endpoints were at an average distance of 14.7 mm from the pleura. Post-procedure CT confirmed biopsy accuracy.
Conclusion: The BDBD technique can enhance access of a flexible bronchoscope into the peripheral lung fields, which could potentially allow more accurate transbronchial interventions for peripheral targets.
DOI: 10.6084/m9.figshare.25574799.v1
title: The <i>Hirschfeldia incana </i>genome assembly and annotation v2.0. Hoang <i>et al</i>. 2024. <i>Annals of Botany</i>. https://doi.org/10.1093/aob/mcae179

description: The <i>Hirschfeldia incana</i> genome assembly and annotation v2.0. Hoang <i>et al.</i>, 2024. <b>Expanding the Triangle of U: Comparative analysis of the</b><b> </b><b><i>Hirschfeldia incana</i></b><b> </b><b>genome provides insights into chromosomal evolution, phylogenomics and high photosynthesis-related traits</b><b>.</b> https://doi.org/10.1093/aob/mcae179