cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19063898.v1
title: Data used in "Recruitment, mortality and growth in semi-arid conifer-eucalypt forest: small trees insure against fire and drought"

description: Data used in paper entitled "Recruitment, mortality and growth in semi-arid conifer-eucalypt forest: small trees insure against fire and drought" published in Journal of Biogeography. This dataset is a preliminary output created using Continuous Forest Inventory data from 1964 until 2019. For further details please contact the authors. <br> File description: id_plot_year ... unique plot id with measurement year plot_id ... plot id year ... measurement year ba ... basal area in m2/ha vol ... stand volume in m3/ha nha ... stem density in ha-1 lat ... location latitude in WGS84 lon ... location longitude in WGS84 sp1 ... dominant species contributing most to basal area, 1 Callitris glaucophylla, 2 Callitris endlicherii, 3 Eucalyptus crebra, 4 Allocasuarina luehmanii, 5 Eucalyptus pilligaensis, 6 Eucalyptus populnea, 7 Eucalyptus blakelyi, 8 Eucalyptus melanophloia, 9 Eucalyptus sideroxylon, 11 Eucalyptus trachyphloia, 12 Eucalyptus albens, 13 Casuarina cristata, 14 Eucalyptus fibrosa, 15 Angophora floribunda, 16 other Eucalypts dg ... quadratic mean tree diameter in cm precip_wc ... average annual precipitation sum, extracted from SILO gridded climate data, https://www.longpaddock.qld.gov.au/silo/ tavg_wc ... average annual air temperature, extracted from SILO gridded climate data, https://www.longpaddock.qld.gov.au/silo/ n_5cm ... stem density of trees smaller 5 cm diameter at breast height ba_rem_harv ... basal area removed due to harvesting in m2/ha/year ba_rem_fire ... basal area removed due to fire in m2/ha/year ba_rem_other ... basal area removed due to other reasons in m2/ha/year ba_rem_wind ... basal area removed due to wind in m2/ha/year n_rem_harv ... stem density removed due to harvesting in ha-1 year-1 n_rem_fire ... stem density removed due to fire in ha-1 year-1 n_rem_other ... stem density removed due to other reasons in ha-1 year-1 n_rem_wind ... stem density removed due to wind in ha-1 year-1 ba_inc ... basal area increment in m2/ha/year ba_rem ... basal area removal in m2/ha/year (sum of ba_rem_harv, ba_rem_fire, ba_rem_other and ba_rem_wind) ba_ing ... basal area ingrowth exceeding 5 cm diameter at breast height between measurement periods in m2/ha/year
DOI: 10.6084/m9.figshare.29105243.v2
title: Supplemental table S2: Descriptive statistics for discrete variables related to general herd reproduction and housing, analyzed across different dairy production systems (LOW = 12.0 L/cow per day (7.4–14.5); INT = 18.0 L/cow per day (14.6–22.5); and UPP = 26.7 L/cow per day (22.6–32.0).

description: Descriptive statistics for discrete variables related to general herd reproduction and housing.
DOI: 10.6084/m9.figshare.7547852.v1
title: Anvi'o database

description: Anvi'o database (v2.3.0) used for refining the MAGs determined with Vizbin.
DOI: 10.6084/m9.figshare.7927556.v2
title: Checklist of the coastal fishes of Lord Howe, Norfolk and Kermadec islands

description: The subtropical islands of the north Tasman Sea have a fascinating mix of tropical, subtropical and temperate marine fishes. Species diversity and the proportion of tropical species in the fauna decline from west to east (Lord Howe &gt; Norfolk &gt; Kermadec Islands) (Francis 1993, Francis & Duffy 2015). This checklist has been compiled as a resource for those wishing to understand and interact with the fish faunas of these islands, monitor biodiversity and coastal fish biogeography, and to assess changes in the faunas as a result of global climate change. Coastal fishes are defined here as those species that occur within 50 m of the surface and 1 km of the shore, excluding oceanic pelagic species. Most species included in the checklist are reef fishes, but species living on or in sand, and in open water near the coast, are also included. Inclusion or exclusion of species is inevitably sometimes arbitrary, especially where information on the normal depth ranges of species is poor. This checklist is updated and revised from earlier checklists of fishes from Lord Howe and Norfolk Islands (Francis 1993) and Kermadec Islands (Francis & Duffy 2015). Some species reported in those earlier lists have been omitted, mostly as a result of improved information on their depth ranges. Additions to the previous checklists and changed or verified specific names are noted, and the sources for these are documented. Generic and specific names follow those in Eschmeyer's 'Catalog of Fishes' (Fricke et al. 2019) unless a recent taxonomic revision has changed them. Species that range westward to mainland Australia and south-eastward to mainland New Zealand are shown in adjacent columns.
DOI: 10.6084/m9.figshare.8320115.v1
title: IAPs Imagery Data

description: Images for the convolutional neural networks training and testing.
DOI: 10.6084/m9.figshare.c.3607994_d5.v1
title: Additional file 6: Table S3. of Epigenetic assimilation in the aging human brain

description: Gene Ontology (GO) enrichment analysis of the age and AD onset-associated probes. (XLS 54 kb)
DOI: 10.17632/9jsjwgfksp
title: Dataset for survey of teaching learning methods in applied optics curriculum of optometry program

description: This is online nationwide survey done to find out teaching-learning methods in applied optics curriculum in Optometry program in India. The survey was completed between January to June 2018. This survey highlights that Optometry education in India is a traditional brick mortar model but has full potential to transform into competency-based education.
DOI: 10.6084/m9.figshare.19385927.v4
title: Tabla comparativa sobre "Reglas Electorales para los Procesos de Selección de Candidaturas a Cargos de Elección Popular Presidencial"

description: El Observatorio de Reformas Políticas en América Latina presenta la siguiente tabla comparativa sobre reglas electorales para los procesos de selección de candidaturas a cargos de elección popular presidencial. <br> Producto elaborado en el marco del Programa de Apoyo a Proyectos de Investigación e Innovación Tecnológica (PAPIIT) de la UNAM. Clave del proyecto: IN302122. Proyecto: “La capacidad de resiliencias de las democracias: elecciones y política en contexto de pandemia”, del Instituto de Investigaciones Jurídicas de la UNAM [Dir. Flavia Freidenberg].
DOI: 10.6084/m9.figshare.21295287.v2
title: SData1

description: MAGs analyzed in this study.
DOI: 10.6084/m9.figshare.26389069.v4
title: BEHSOF: Advanced Non-alcoholic fatty liver dataset with clinical metadata and ultrasound images for Deep learning Models

description: The liver is regarded as one of the essential organs in the body, playing a crucial role in digestion, nutrient absorption, and food processing. This indispensable organ is tasked with cleansing the blood that flows from the digestive tract. Additionally, the liver detoxifies harmful substances and metabolizes various medications. A key function of this organ involves intricate metabolic processes that transform food into energy. However, the liver's heightened sensitivity makes it susceptible to a variety of common ailments, underscoring the need for careful attention to its health.Among liver diseases, fatty liver stands out as the most prevalent, characterized by the buildup of fat within liver cells. This condition is particularly common among individuals who are overweight or have abdominal obesity. Specifically, non-alcoholic fatty liver disease (NAFLD) refers to the excessive fat accumulation in liver cells, a condition known as steatosis. Various diagnostic techniques have been developed for this disease, each offering distinct advantages and drawbacks. Ultrasound imaging has gained popularity due to its accessibility, non-invasive nature, and affordability. One of the approaches utilized in this diagnostic process is the employment of deep learning models. Sporadic studies have been conducted to leverage the available data in diagnosing the degree of non-alcoholic fatty liver disease, and given the significance of the issue, this body of research is continually expanding. Developing robust model training and conducting comprehensive analyses necessitates access to a diverse and comprehensive data repository that can be leveraged for training and validating the proposed models. To this end, we present the BEHSOF dataset, which comprises a collection of samples gathered with varying degrees of non-alcoholic fatty liver disease. Specifically, this data bank consists of ultrasound images from a population of 113 individuals under study, along with the corresponding labels for the levels of steatosis and fibrosis. In addition to the ultrasound images, the data bank provides clinical information, blood test results, and Fibroscan outcomes for the participants, which serve as reference data for fibrosis assessment. Finally, we showcase the results of two deep learning models as examples for training and testing the introduced data set.The ultrasound images have been categorized into two distinct groups based on the diagnostic findings and labeling conventions. Each file within these categories is further distinguished by the location of the medical facility (Taleghani Hospital (TAL) or Behbood Clinic (BEH)), the row number, and the order of grading (steatosis score by expert, steatosis score by CAPscore, fibrosis score by the rate of Elasticity) (TALXXXXX, BEHXXXXX).
DOI: 10.4121/13692337.v1
title: PitchVAWT Five Degree Pitch Velocity Fields and Flux Data underlying the paper: Estimation of blade loads for a variable pitch vertical axis wind turbine from particle image velocimetry

description: Velocity fields and results of Noca flux calculation for +5 degree pitch operation at tip speed ratio of 4 and 4 meter per second wind speed for PitchVAWT wind turbine
DOI: 10.6084/m9.figshare.23968044.v2
title: [dataset] Green deserts, but not always: A global synthesis of native woody species regeneration under tropical tree monocultures

description: Datasets of the paper "Green deserts, but not always: A global synthesis of native woody species regeneration under tropical tree monocultures"Review_plantation_regeneration_v_GCB - global datasetArticle_ID - corresponding published articles used to create the global datasetReview_mono_reg_BR_GCB - Brazil case studysp_BR_GCB - Brazil case study species listreview_code - R code for the analysis<br><br>
DOI: 10.6084/m9.figshare.26347192.v1
title: Supplementary Material for: We Need to Nail It: Dermatology Resident Survey Highlighting Lack of Education for Nail Matrix Biopsies

description: Introduction
Dermatologists are experts in the skin, hair, and nails. However, it is the authors’ perception that many dermatologists lack comfort in performing nail matrix biopsies. 
Methods
Concerned for inadequate training, we surveyed US dermatology residents to assess their exposure to this procedure. 
Results
Of the 130 respondents, 43 were PGY4 residents. Of these, 37.21% had never observed and 62.79% had never performed a nail matrix tangential shave biopsy. Similarly, 32.56% had never observed and 58.14% had never performed a nail matrix punch biopsy. Overall, 83.8% of all residents did not feel comfortable with and 71.5% did not anticipate feeling comfortable with performing nail matrix biopsies by residency completion. 

Interestingly, size of the training program and presence of a nail expert at the institution did not increase comfort levels in performing nail matrix biopsies (p=0.348 and p=1.0, respectively). Additionally, the presence of a nail expert did not affect the number of biopsies observed or performed by residents. The only statistically significant associations were between year of training (p&lt;0.001) and having a formalized curriculum and comfort with nail matrix biopsies (p=0.002). 
Conclusions
Our survey highlights a potential lack of instruction in performing nail matrix biopsies in US dermatology residencies and calls for improved resident education.
DOI: 10.6084/m9.figshare.28615955.v2
title: Data and R code for the paper "<b>Coevolutionary patterns between coloration and diel activity in moths</b>"

description: This is data for the paper "<b>Coevolutionary patterns between coloration and diel activity in moths</b>"
DOI: 10.6084/m9.figshare.28654379.v1
title: Boundaries.dbf

description: Survey plot boundaries on Tumamoc Hill
DOI: 10.6084/m9.figshare.28733369.v1
title: Code and Supporting Files for Levy et al. How conserved are bird-habitat associations after 30 years of forest change?

description: We explored conservatism in coarse forest-type associations across a temperate forest bird assemblage after thirty years of change in forest management practices in an extensive commercial forest. We replicated the methods of an earlier study thirty years later, allowing us to directly compare occupied habitat space with respect to changing forest-type availability over time across a large geographic area. Files presented herein will reproduce the analyses and figures associated with this manuscript.
DOI: 10.6084/m9.figshare.13489443.v1
title: S5. Sedimentary geochemistry - data from Bialik et al. (2018)

description: geochemical and sedimentological information from a section carried out on Albian carbonate sequence. A summary of analyses is presented below, but codes and full results of each step are provided in Bialik <i>et al</i>. (2020).
DOI: 10.6084/m9.figshare.21896961.v1
title: HUVEC and HAEC RNA-seq Gene Expression Values - TPMs

description: Gene expression profiling of human umbilical vein endothelial cells (UEC) and human aortic endotheilal cells (AEC). Poly-A enriched gene expression data is provided as transcripts per million (TPM), processed using the Salmon alignment tool. The experiment was carried out on 4 individual donors of each cell type. Raw data are available on request only due to ethical considerations.
DOI: 10.6084/m9.figshare.27987110.v2
title: This file is a dataset containing 432 API requests of the test cases used in the evaluation described in Chapter 6 of the paper titled "Mining Enterprise Architecture Artifacts using API Gateway Logs reinforced with Ontologies". This dataset is enough to run the program to populate the OWL file and generate the ArchiMate views. The following topics describe the scripts used to generate the API requests in the Kong API Gateway that created this dataset.

description: This data set support the developement and test of a solution for EA minining from API Gateway Logs. It is a dataset containing 432 API requests of the test cases used in the evaluation described in Chapter 6 of the paper titled "Mining Enterprise Architecture Artifacts using API Gateway Logs reinforced with Ontologies". This dataset is enough to run the program to populate the OWL file and generate the ArchiMate views.
DOI: 10.15468/dl.3dqctp
title: Occurrence Download

description: A dataset containing 3173032997 species occurrences available in GBIF matching the query:
{ }

 The dataset includes 3173032997 records from 73457 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013100-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.12152967.v1
title: Diagnosis Data for International Electronic Health Record-Derived COVID-19 Clinical Course Profile: The 4CE Consortium

description: Diagnosis data collected for the 4CE manuscript "International Electronic Health Record-Derived COVID-19 Clinical Course Profile: The 4CE Consortium" (Preprint: https://doi.org/10.1101/2020.04.13.20059691) and the 4CE website about the same manuscript (https://covidclinical.net/publications/paper-01.html).<br>A description of how the data was generated can be found in the manuscript.
DOI: 10.6084/m9.figshare.19225254.v2
title: The raw data for qRT-PCR

description: The raw data for the qRT-PCR
DOI: 10.6084/m9.figshare.24957207.v1
title: Supplementary Table 2. Statistical results from additional linear regression models. from Still little evidence sex differences in spatial navigation are evolutionary adaptations

description: Analyses that included non-subsistence data, and both non-subsistence and subsistence data for humans are included here.
DOI: 10.6084/m9.figshare.27193878.v1
title: Resolving artefacts in voltage-clamp experiments with computational modelling: an application to fast sodium current recordings — Experimental data

description: This dataset contains all the experimental data collected for the work "Resolving artefacts in voltage-clamp experiments with computational modelling: an application to fast sodium current recordings" by Chon Lok Lei, Alexander P. Clark, Michael Clerx, Siyu Wei, Meye Bloothooft, Teun P. de Boer, David J. Christini, Trine Krogh-Madsen and Gary R. Mirams.<b>Content</b><i>hipsccm</i>: The perforated patch-clamp experiments with hiPSC-CMs.<i>mc</i>: The electrical model cell validation experiments.<i>nav</i>: The rupture patch-clamp experiments with Na<sub>V</sub>1.5-expressing HEK cells.<br>
DOI: 10.6084/m9.figshare.27880221.v1
title: A AI and Eye Tracking Reveal Design Elements’ Impact on E-Magazine Reader Engagement

description: This data are part of the published research in a top-tier Education Sciences journal (Q1), entitled: "A AI and Eye Tracking Reveal Design Elements’ Impact on E-Magazine Reader Engagement". This research has been conducted by combining different technologies: webcam eye tracking tested on Oxford Business College (n=144) and AI Eye tracking/EEG neuromarketing software which predicts human behaviour (n=180.000).
DOI: 10.6084/m9.figshare.28388003.v1
title: The raw data IL-13 research

description: This is the raw data related to the interleukin-13 study and liver fibrosis modeling in chronic hepatitis B patients.
DOI: 10.6084/m9.figshare.29019464.v1
title: Data of AI research

description: Integrating Artificial Intelligence (AI) in healthcare is considered an unavoidable trend across countries globally. The perceptions and attitudes of healthcare students play a crucial role in advancing reforms within training programs. This study aimed to explore healthcare students' perceptions and attitudes toward the application of AI in the healthcare process and to assess the correlation between these two factors.A cross-sectional study was conducted on 967 healthcare students from December 2024 to January 2025. The research utilized a three-part self-report questionnaire designed to assess the perceptions and attitudes of healthcare students regarding the application of AI in healthcare. Descriptive statistics and correlation tests were employed for data analysis.This dataset was used for the study.
DOI: 10.6084/m9.figshare.3467216.v1
title: 96well plate

description: 96well tissue culture plate
DOI: 10.6084/m9.figshare.28329338.v1
title: FOVEA: Preoperative and intraoperative fetinal fundus images with optic disc and retinal vessel annotations

description: The performance and scope of computer vision methods applied to ophthalmic images is highly dependent on the availability of labelled training data. While there are a number of colour fundus photography datasets, FOVEA is to the best of our knowledge the first dataset that matches high-quality annotations in the intraoperative domain with those in the preoperative one. It comprises data from 40 patients collected at Moorfields Eye Hospital (London, UK) and includes preoperative and intraoperative retinal vessel and optic disc annotations performed by two independent clinical research fellows, as well as short video clips showing the retinal fundus though biomicroscopy imaging in the intraoperative setting. The annotations were validated and converted into binary segmentation masks, with the code used available on GitHub. We expect this data to be useful for deep learning applications aimed at supporting surgeons during vitreoretinal surgery procedures e.g. by localising points of interest or registering additional imaging modalities.
DOI: 10.6084/m9.figshare.20462847.v1
title: TCGA clinical.xls

description: related to TCGA-ov
DOI: 10.6084/m9.figshare.21210845.v1
title: Processed files for library analysis of base editors

description: Analyzed data from Library Analysis of base editors. Raw FASTQs are deposited under PRJNA848090.
DOI: 10.6084/m9.figshare.3511193.v1
title: Appendix A. List of the 76 New Zealand forest species selected for input to the LINKNZ forest gap model.

description: List of the 76 New Zealand forest species selected for input to the LINKNZ forest gap model.
DOI: 10.17632/6gbptmgp3y
title: Tibial Spiking Knee OA Dataset

description: The dataset contains original and cropped (tibial spiking area) images from the OAI dataset organized by Chen (https://data.mendeley.com/datasets/56rmx5bjcr/1).
DOI: 10.6084/m9.figshare.20439216.v1
title: DATA- indentation failure load of FRP composite facesheet polymer foam core sandwich beams

description: Raw data includes sandwich beam flexural tests, FRP composite facesheet tensile tests, and polymer foam compression tests.
DOI: 10.6084/m9.figshare.28715894.v1
title: Beyond Labels: Explainable Offensive Meme Detection with LLM-VLM Synergy

description: The widespread use of memes on social media platforms has significantly increased the propagation of offensive content, necessitatingautomated methods for their detection and interpretation. This study introduces a novel multimodal approach leveraging advancedVision-Language Models (VLMs) and Large Language Models (LLMs) to identify offensive memes, particularly focusing on Hindilanguage content. Our methodology integrates visual embeddings from ImageBind and nomic-embed vision models with textualembeddings generated using multilingual e5-large, mBART50, and mT5 architectures. This unified multimodal framework effectivelyaddresses two hierarchical tasks: detecting offensive memes (Level 1) and distinguishing implicit from explicit offensiveness (Level2). Additionally, we propose a hierarchical zero-shot reasoning architecture that classifies memes and provides explicit reasoningexplaining the nature and context of offensiveness. Comprehensive experiments conducted on a publicly available Hindi meme datasetdemonstrate our model’s superior performance compared to existing state-of-the-art systems in terms of accuracy, interpretability,and robustness. This dual-task approach of detection and nuanced classification, coupled with interpretability, paves the way for moretransparent, accountable, and reliable automated moderation systems on digital platforms.
DOI: 10.6084/m9.figshare.5525398.v1
title: MicroCT of mouse tibiae-oim1

description: MicroCT of mouse tibiae-oim1
DOI: 10.17632/kc8mf8j32b
title: Local Sextortion Incident Data 2020-2023

description: This anonymous dataset describes 866 sextortion incidents reported to a local UK police force between 2020 and June 2023. Columns included include an occurrence outcome code, date, victim demographic information, and manually-coded outcomes (money demanded, money paid, platforms involved) extracted from written incident reports.
DOI: 10.6084/m9.figshare.13061714.v2
title: EPA Adverse Pathway Database (AOP-DB)_version 2_SQL_Gene Interactions Table

description: The uploaded files contain the entire data frame and associated data for the AOP-DB v.2 (Mortensen et al. Nature Data Descriptor, submitted). This record contains the second of two files:File 2) ("aopdb_gi_08-25-2020.sql.tar.gz ") which is the gene_interactions table.This is a tar.gz file for a single data table that contains gene interaction information stored in the AOP-DB. This table needs to be compiled by the user with File 1 of the same project (DOI:10.6084/m9.figshare.13042886) to reconstruct the complete AOP-DB v2 in their local environment.