cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5458165.v1
title: Ptyctolepis brachynotus gen. et sp. nov. IVPP V23386: CT scan data and surface files of a new sarcopterygian from Early Devonian of South China

description: X-ray computed microtomography scanning for these specimens was performed at IVPP, Chinese Academy of Sciences (CAS), Beijing, China, using a 225 kV microCT. After scanning, data were segmented in Mimics (biomedical.materialise.com/mimics; Materialise, Leuven, Belgium). Surface meshes were then exported into and imaged in Blender (blender.org; Stitching Blender Foundation, Amsterdam, the Netherlands).<br>High-resolution micro computed tomography (μCT) of three-dimensionally preserved skulls illuminates internal cranial anatomy of lobe-finned fishes, and provides evidence for the stepwise evolution of key sarcopterygian features, but also lend additional weight to the idea of a sudden and explosive episode of sarcopterygian evolution in the late Silurian and Early Devonian of China. <br>Article abstract: Recent discoveries of psarolepids, putative stem sarcopterygians from the late Silurian and Early Devonian of South China, have increased our knowledge of the morphology and initial diversification of osteichthyans while highlighting incongruities in character evolution in the largest group of jawed vertebrates. Character-rich endocrania are incompletely preserved for these taxa, limiting a detailed understanding of complex internal morphology and evolutionary changes in the head skeleton. We report a new sarcopterygian (Ptyctolepis brachynotus gen. et sp. nov.) from the Pragian (Early Devonian) of South China, which preserves the only example of a completely ossified otoccipital division of the braincase in a stem sarcopterygian. The skull roof bears vermiculate ridged ornamentation, with middle and posterior pit-lines lying close to the midline. The paired hyomandibular facets sit dorsal to the jugular canal, representing a hitherto unobserved combination of derived and primitive character states. The suite of characters in this new taxon prompts a reassessment of early osteichthyan evolution, including the phylogenetic placement of psarolepids, which we suggest might branch from the osteichthyan—rather than sarcopterygian—stem.
DOI: 10.6084/m9.figshare.7185194.v2
title: PEPCONF, a diverse data set of peptide conformational energies

description: A data set of 3775 peptide conformational energies and 4530 peptide conformer structures. <br><br>The data set consists of five different classes of model peptide systems: dipeptides (210), tripeptides (288), and disulfide-bridged (154), bioactive (39), and cyclic peptides (64). The numbers in the bracket indicate the exact number of model systems in each peptide class included in the PEPCONF data set. PEPCONF contains 5 conformational energies and 6 conformer structures for each peptide model system.
DOI: 10.6084/m9.figshare.8142932.v1
title: Environmental data for LMO site

description: This datafile contains environmental data for the Linnaeus Microbial Observatory site.
DOI: 10.6084/m9.figshare.8235587.v1
title: PWMs used for HbP2 sequence analysis

description: This file contains the position weight matrices used to analyze the sequence of the Hunchback P2 enhancer for transcription factor binding sites.
DOI: 10.17632/fd88gvcgw4
title: Dataset on Enhancing Sociopragmatic Competence through AI-Driven Tools: Insights from Real-World Language Interactions

description: This dataset originates from a study titled “Enhancing Sociopragmatic Competence through AI-Driven YouTube Discourse Analysis: A Data-Driven Tool for Real-World Language Interaction Skills.” The study investigates how AI-based tools can enhance learners' sociopragmatic competence by analyzing authentic discourse from YouTube. Using a mixed-methods approach, the research focuses on key sociopragmatic skills, including politeness strategies, turn-taking, face-saving tactics, and conversational implicature. The dataset includes quantitative assessments from pre- and post-intervention tests, task-based evaluations, and survey responses, as well as qualitative insights gathered from semi-structured interviews. It reflects learners' experiences using AI tools to analyze and practice sociopragmatic strategies in real-world language interactions. Findings from the study demonstrate significant improvements in learners’ sociopragmatic awareness and competence, offering evidence of AI's potential to bridge theoretical knowledge and practical application in language learning. This dataset provides a comprehensive resource for educators, researchers, and developers seeking to leverage AI for enhancing language education.
DOI: 10.6084/m9.figshare.28044680.v4
title: CODIT ontology

description: Overview <br>The CODIT (Core Ontology for Data Interlinking Tools) ontology provides a structured framework for describing and categorizing various aspects of data interlinking tools. It is designed to capture the core concepts, properties, and relationships involved in the data interlinking process, supporting interoperability and comparative evaluation among tools. CODIT covers linking tools, techniques, data formats, and related features, making it suitable for data interlinking applications.UsageThe CODIT ontology is intended for researchers, developers, and users working on data interlinking tools. It enables:<b>Tool Documentation</b>: Providing a standardized framework for documenting data linking tools and their functionalities.<b>Comparative Analysis</b>: Supporting comparative studies by detailing tool-specific features, linking techniques, input/output data, and evaluation metrics.<b>Interoperability</b>: Facilitating interoperability among tools by standardizing the representation of linking techniques, data types, and output formats.<br>
DOI: 10.17632/588cyss6xn
title: 2D kMC screw dislocation

description: 2D kinetic Monte Carlo simulation of screw dislocations in bcc metals
1. continuum theory is used to compute the elastic interaction energy
2. both periodic boundary conditions and non-periodic boundary conditions are used
DOI: 10.6084/m9.figshare.14394446.v2
title: Finnish FSS scale validation data and analysis code

description: Data and R code to replicate the analyses for the scale validation paper "Psychometric Analysis of the Flow Short Scale translated to Finnish".
DOI: 10.6084/m9.figshare.22209718.v1
title: The essential role of biodiversity in the key axes of ecosystem function

description: We present here the data used in our analysis, all of which are standardized.
DOI: 10.6084/m9.figshare.7686569.v1
title: MOESM4 of Quantitative proteomic characterization of lung tissue in idiopathic pulmonary fibrosis

description: Additional file 4. Differentially expressed matrisomal proteins in lung tissues.
DOI: 10.6084/m9.figshare.9572501.v1
title: Metabolites and PCOS

description: causal effects of metabolites on PCOS<br>
DOI: 10.6084/m9.figshare.1134124.v1
title: flow of funds (1893-1908) 3: amounts of funds plus interest bills

description: Matrices with data on the flow of funds (bills bought/bills sold) between branches of the Yokohama Specie Bank for the period 1893-1908. This project has been made possible by a generous grant from the European Research Council; Project Acronym: JapanGreatDepression, grant agreement number: 240854
DOI: 10.6084/m9.figshare.22229794.v1
title: Discourse quality and opinion change in deliberative mini-publics

description: Data of a quasi-experimental mini-public deliberation event that mimicked a deliberative poll held in 2019 in Shizuoka Prefecture, Japan.
DOI: 10.6084/m9.figshare.22340584.v1
title: Ovarian Granulosa Cell Genomics in PCOS .zip

description: To investigate gene expression in ovarian granulosa cells by using high-throughput gene sequencing and to investigate pathogenesis in phlegm wet polycystic ovary syndrome (PCOS) patients using functional and pathway analyses.
DOI: 10.6084/m9.figshare.28668233.v1
title: Dataset Virulence MIC in Candida auris

description: Main dataset supporting information regarding the multiparametric evaluation of MICs, phenotype and survival against Candida auris in G. mellonella.
DOI: 10.6084/m9.figshare.3420952.v3
title: FamPipe external files

description: The external allele and haplotype frequencies for genetic variants that can be used by FamPipe (http://fampipe.sourceforge.net)
DOI: 10.17632/xvz8y7dtvh
title: A low-cost quantitative continuous measurement of movements in the extremities of women with Parkinson's disease

description: Detection of movements in the extremities of people with Parkinson disease was developed to enhance the gold-standard structured assessment of people with Parkinson’s disease assessed by the visual observation by the examiner of the person with Parkinson’s disease (Goetz, et al., 2008). This data represents the administration of a low-cost quantitative continuous measurement of movements in the extremities of people with Parkinson's disease by examiners certified in the Movement Disorders Society-sponsored revision of the Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) (Goetz, et al., 2008) to healthy men with typical development in person. The examiner instructed the participant how to perform each task. The examiner demonstrated the movements. The examiner did not continue to perform the task while the participant was performing the tasks. The examiner instructed the participant to perform each movement as quickly and fully as possible. The examiner encouraged the participant to execute each motion with the maximal speed and range of motion. The examiner sought to capture at least 60 optimal repetitions for each motion. A technologist recorded the output of the instrumentation of each assessment (Harrigan, et al., 2020) and operated a video camera to record the movements of the participants during the testing session. Two experts certified in the MDS-UPDRS (Goetz, et al., 2008) then edited the original videotapes to extract only the administration of each task. One expert had participated as examiner and participant in the videotaped segments. The videotape segments correspond to the tasks of the protocol (3.17RTU: 3.17 Rest tremor amplitude upper limbs, 3.17RTUC: 3.17 Rest tremor amplitude upper limbs counting, 3.15PT: 3.15 Postural tremor of the hands, 3.4FT: 3.4 Finger tapping, 3.5HM: 3.5 Hand movements, 3.6PS: 3.6 Pronation-supination movements of the hands, 3.9ACU: 3.9 Arising from chair upper limbs, 3.9ACL: 3.9 Arising from chair upper limbs, 3.17RTL: 3.17 Rest tremor amplitude lower limbs, 3.17RTLC: 3.17 Rest tremor amplitude lower limbs counting, 3.7TT: 3.7 Toe tapping, 3.8LA: 3.8 Leg agility) (McKay, et al., 2019). The participants are identified by their original identification number (Harrigan, et al., 2020).
DOI: 10.6084/m9.figshare.24164217.v1
title: Trichoptera genome assemblies, opsin alignments, and opsin gene tree.

description: These are the alignments, trees, and gff files for the 123 opsin sequences pulled from 25 caddisfly genomes in this study. There are separate alignments for each opsin type (LW, SW, UV, & RH7) and an alignment with all opsin types combined together with outgroup sequences. The gff folder has a separate gff file for every species in this study with the coordinates of each opsin gene. There are also tree files for both the AA and CDS trees with bootstrap support. In addition, 4 new Trichoptera genome assemblies for the following species are included: Atopsyche callosa, Limnocentropus insolitus, Plectrocnemia conspersa, and Rhyacophila brunnea.
DOI: 10.6084/m9.figshare.4307813.v1
title: Materials for Pashler & Heriot "Perceptions of Newsworthiness are Contaminated by a Political Usefulness Bias "

description: Raw data
DOI: 10.6084/m9.figshare.9891797.v4
title: Recombinant human soluble thrombomodulin is associated with attenuation of sepsis-induced renal impairment by inhibition of extracellular histone release

description: We used sepsis-induced rats by cecal ligation and puncture and investigated histone H3 levels, histopathology of the kidneys, and the survival rate of rats.
DOI: 10.6084/m9.figshare.10482707.v2
title: High dielectric ternary oxides from crystal structure prediction and high-throughput screening

description: The development of new high dielectric materials is essential for advancement in modern electronics. Oxides are generally regarded as the most promising class of high dielectric materials for industrial applications as they possess both high dielectric constants and large band gaps. Most previous researches on high dielectrics were limited to already known materials. In this study, we conducted an extensive search for high dielectrics over a set of ternary oxides by combining crystal structure prediction and density functional perturbation theory calculations. From this search, we adopted multiple stage screening to identify 441 new low-energy high dielectric materials. Among these materials, 33 were identiﬁed as potential high dielectrics favorable for modern device applications. Our research has opened an avenue to explore novel high dielectric materials by combining crystal structure prediction and high throughput screening.<br>
DOI: 10.6084/m9.figshare.26674751.v1
title: Additional file 6 of Learning self-supervised molecular representations for drug–drug interaction prediction

description: Additional file 6. Pairs of side effects characterized by the same sets of scaffolds where they occur.
DOI: 10.6084/m9.figshare.8397467.v1
title: TVC paper - lidar snow depths

description: Lidar snow depths. Two formats are available:<br>Export_Output.shp file for GIS<br>lidar.mat for MATLAB which subsets the shape file to three columns with headings snow_depth_ID, snow_depth, snow_depth_flag using the following code in MATLAB 2017a:<br>lidar_shape = shaperead('Export_Output.shp');lidar_cell_array = struct2cell(lidar_shape);lidar_cell_array2 = lidar_cell_array';snow_depth = cell2mat(lidar_cell_array2(:,5));snow_depth_flag = cell2mat(lidar_cell_array2(:,6));snow_depth_ID = cell2mat(lidar_cell_array2(:,4));lidar = cat(2, snow_depth_ID, snow_depth, snow_depth_flag);
DOI: 10.17632/hyb44jf936
title: Type 2 Diabetes Mellitus Tongue Dataset

description: This dataset comprises tongue images categorized into two groups: non-diabetic tongue images and tongue images from patients with Type 2 Diabetes Mellitus (T2DM). The dataset is designed to support the development of deep learning models for detecting T2DM based on tongue image characteristics. These images capture various features such as tongue texture, color, and coating, which are known to differ between healthy individuals and those with T2DM. The dataset can be employed for training, validating, and testing machine learning algorithms aimed at automating the early screening of Type 2 Diabetes based on tongue analysis.
DOI: 10.17632/mn4x5gjph4
title: Boosting rapeseed (Brassica napus L. var. oleifera) yield, nutritional profile and functional aspects: the role of variety, climate, and fertilization strategy

description: Rapeseed (Brassica napus L. var. oleifera) is a globally significant vegetable oilseed crop valued for its versatility and economic impact, with seeds being sources of oil and protein for both food and industrial applications. This study investigates the influence of rapeseed variety, environmental and fertilization conditions on the agronomic parameters, fatty acid composition, and polyphenols content of rapeseed.
We identified “Year” as a significant factor affecting grain yield, with variations attributed to sowing dates, rainfall patterns, and temperature trends. In 2020/21, earlier sowing and favorable weather conditions resulted in a grain yield of 2.16 Mg ha-1, while we had a 79% decline in 2022/23 under unfavorable climate. Higher nitrogen rates (140 and 190 kg N ha-1) increased the dry biomass at flowering and the grain yield at harvest, with intermediate rates (110 kg N ha-1) achieving comparable results to higher rates by optimizing timing, particularly in pre-sowing and early spring. Nitrogen fertilization also significantly impacted fatty acids composition and polyphenols accumulation, with higher nitrogen rates related with increased levels of specific fatty acids. Phenolic compounds analysis revealed significant fluctuations depending on the year, with anthocyanins, flavanols, and flavonols being the most susceptible. In 2020/21, the anthocyanins were the most abundant, while in 2022/23, the α-linolenic acid (10.9%) and eicosenoic acid (1.17%) displayed the highest content.
Our findings emphasize the importance of strategic planning, environmental monitoring, and targeted nitrogen fertilization in optimizing rapeseed yield and quality under a changing climate. This comprehensive analysis provides valuable insights for sustainable rapeseed cultivation, promoting yield stability and enhancing the nutritional and functional properties of rapeseed products.
DOI: 10.17632/rtf5d2v9rm
title: Recognition of Damage Types of gray-brick Ancient Buildings Based on Machine Learning——Taking the Macau World Heritage Buffer Zone as an Example(Training set for machine learning)

description: As a result of environmental and human influences, several types of surface deterioration emerge on historic buildings, resulting in a decline in the quality of these structures and even threats to their safety. In the conventional approach, assessing the surface damage on a structure involves the time-consuming and labor-intensive judgment and evaluation of trained professionals. In this study, it is suggested that the YOLOv4 machine learning model be used to automatically find five types of damage to historical gray-brick buildings. This would make the job go more quickly. This study uses the gray-brick wall buildings in the buffer zone of the global cultural heritage in Macau as an example. In total, 1355 photographs were taken on-site of the gray-brick walls, and the five most common types of damage were identified. By slicing and labeling the photos, a training set of 1000 images was created, and through 200-generation model training, the model can accurately identify and effectively identify the damage state of the gray bricks and enhance the quality judgment and evaluation of the exterior walls of historical buildings. Experiments allow us to reach the following conclusions: (1) The damage to the gray-brick ancient buildings in Macau is affected by the subtropical maritime climate. Missing paint, stains, and cracks are the main contributors to gray-brick wall damage. (2) Machine learning can help determine the type of damage to old gray-brick buildings, which is useful for managing and protecting historical buildings. (3) The model in this study can identify five types of damage: missing, cracking, plant or microbial erosion, yellowing, and pollution on the exterior walls of ancient gray-brick buildings. It is helpful to accurately identify and evaluate the damaged condition of the gray-brick wall and formulate corresponding protection schemes.
DOI: 10.6084/m9.figshare.13718419.v2
title: Dataset for online scheduling of multi 3D printing tasks based on the additive manufacturing cloud platform

description: This dataset contains the data of the online tasks scheduling of additive manufacturing cloud platform.<br>It is being made public to act as supplementary data for publications of the paper: Online order scheduling of multi 3D printing tasks based on the additive manufacturing cloud platform.
DOI: 10.6084/m9.figshare.21991976.v1
title: Supplemental_Dataset

description: Dataset
DOI: 10.6084/m9.figshare.12890654.v1
title: SNVs for each genome compared to IGA1008

description: SNVs identified using MUMer between soybean genome assemblies and IGA1008
DOI: 10.6084/m9.figshare.20380221.v1
title: raw data.sav

description: Sample 1 was used for Exploratory Factor Analysis, Sample 2 was used for Confirmatory Factor Analysis.
DOI: 10.6084/m9.figshare.21341055.v1
title: Level 2 - CMO files

description: CMO data files, containing biomechanical variables such as joint moments, forces and powers computed with Visual3D software
DOI: 10.6084/m9.figshare.787700.v2
title: Fortune Global 500 companies list 2012 (three years balanced panel)

description: This dataset includes financials from companies balance sheets, Application Levels from GRI non financial reports and geographical and industry taxonomy. Data for years 2010-2011-2012.
DOI: 10.6084/m9.figshare.9878258.v2
title: General overview and Cox regression analysis data for Head and Neck cancers

description: Eight-years Retrospective review data of Head and Neck Squamous cell cancers from the cancer registry at Komfo Anokye Teaching Hospital
DOI: 10.17632/3zsczzbcyd
title: Thermographic evaluation data

description: This data refers to a study investigating thermal recovering of Thoroubred racehorses. 
The use of thermography in field conditions require to stablish environmental control, which is not easy to perform. In the present study, we wanted to revisit information on how much time should we wait to do a thermographic examination after a horse had exercised. A previous study, produced by Simon et al. (2006) affirmed that exercise did not influenced thermography after 45 minutes of exercising. The guidelines of the American Association of Thermology (2022) says that the examiner should wait at least two hours, but this information is still not clear. Experiencing field conditions raises the doubt if this information would be valid for different climate conditions, type of exercise and even horses’ breed and discipline. Then, specifically to the racehorse, the present study tested the hypothesis that, after exercising, superficial body temperature could be higher than initially even after 2 hours. At the end, the study evidenced that even after 3 hours, superficial body temperature, investigated by thermographic examination of different limb regions, was higher than initially, independent of climate. In this study, few control horses were maintained inside their barns throughout the experiment period and their body temperature was compared with exercised horses.