cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/s42yx8smb3
title: Paleoenvironmental implications of Deccan volcanism relative to the Cretaceous-Paleogene mass extinction: evidence from the ‘red bole’ record

description: Source data to manuscript entitled 'Paleoenvironmental implications of Deccan volcanism relative to the Cretaceous-Paleogene mass extinction: evidence from the ‘red bole’ record'.
DOI: 10.17632/zn9d3pk59r
title: AI-Powered Plant Pathology: Unveiling Tea Leaf Diseases with a Comprehensive Dataset

description: 1.The Significance of tea leaf in Horticulture and Disease Challenges
Tea leaves are highly prized in the horticultural sector for their aesthetic worth as well as their economic relevance. However, a number of illnesses that can negatively affect the health and production of these plants frequently provide a barrier to their cultivation. To reduce these hazards, leaf disease identification must be done accurately and early. In response to this requirement, the Tea Leaf Disease Dataset was created to help researchers, horticulturists, and machine learning specialists recognize and categorize illnesses that impact tea leaves. High-resolution photos of tea leaves, showing both healthy and sick specimens, are included in this collection. The dataset contains notable illnesses including anthracnose and gray blight. Precise model training and validation are made possible by the thorough annotation of every image with information on the nature and severity of the illness. Metadata that offers crucial contextual information about the locations and weather at the time of image collection is added to the dataset, further enriching it. This contextual information improves the accuracy of prediction models and is essential for comprehending the factors driving the development of illness.
2. The Role of Deep Learning and Computer Vision 
The tea leaf Disease Dataset has a plethora of opportunities for classification and detection tasks that can be addressed by modern deep learning and computer vision techniques. 
3. A Comprehensive Dataset for Deep Learning in tea leaf Disease Classification 
This dataset was created specially to aid in the creation of sophisticated deep learning models. To ensure accuracy and relevance, the dataset's classifications were developed in conjunction with subject matter specialists from a leading agricultural institute. 
4. Data Collection and Augmentation 
At the Allynugger Duncan Tea Garden site in Moulvibazar, Sylhet, Bangladesh, a total of 3900 photos were captured. These images showed examples of healthy leaves, anthracnose, and gray blight. 1900 augmented pictures were produced from the initial photo collection in order to enhance the dataset and increase the number of data points that were accessible. Several methods, including flipping, rotating, shearing, brightness alteration, and magnification, were used to create these enhanced samples.
DOI: 10.17632/pjmhwmkvvs
title: AI for effort estimation in user stories

description: Dataset derived from estimates of the effort required to complete different user stories by AI and human developers, taking into account experience levels, degrees of optimism and the average waste factor.
DOI: 10.17632/jxkpzk959b
title: fMRI Evidence Reveals Emotional Biases in Bilingual Decision Making

description: An fMRI study where we aimed at assessing the language-neural interaction in risk decision tasks with feedbacks of the first language and second language.
DOI: 10.17632/r4hgs982vs
title: ML training data for 'Machine Learning Based Approach to Predict Ductile Damage Model Parameters for Polycrystalline Metals'

description: This dataset contains training data for the machine learning model described in ‘Machine Learning Based Approach to Predict Ductile Damage Model Parameters for Polycrystalline Metals’ by the same authors. The included data were generated using FLAG simulations of a flyer plate impact scenario with the ductile damage model TEPLA for three materials: half-hard copper, annealed copper, and aluminum 6061. For each of these materials, we include the postprocessed results for the free surface velocity as a function of time as well as porosity as a function of position in the target material, and finally a derived ‘reduced’ dataset containing only characteristic features of the former; details are described in the above mentioned paper, see
https://doi.org/10.1016/j.commatsci.2023.112382
or
https://arxiv.org/abs/2301.07790
The code to reproduce the postprocessed data from the included raw data as well as to train the ML model is published here:
https://github.com/dblaschke-LANL/LEAD/
DOI: 10.17632/9zv3bttwyv
title: Variation of pore development scenarios by changing gasification atmosphere and temperature

description: The dataset comprising gas adsorption measurements for the samples discussed in the paper “Variation of pore development scenarios by changing gasification atmosphere and temperature” (doi: 10.1016/j.energy.2023.129897)

Samples files (.smp) were recorded with Micromeritics TriStar II 3020. Measurements of N2 adsorption at 77 K and CO2 adsorption at 273 K for the samples listed in table ST2 and ST3 of the Supplementary Material are provided here.
DOI: 10.17632/dbp9bttr8n
title: Dataset of YouTube Stand-Up Comedy Videos

description: This dataset includes a comprehensive collection of YouTube stand-up comedy videos. It features video metadata, automated transcripts, viewer comments, thumbnails, and channel information. Additionally, it includes Term Frequency-Inverse Document Frequency (TF-IDF) values for detailed text analysis. This data supports research in sentiment analysis, humor studies, and natural language processing, providing insights into humor dynamics, audience interaction, and the impact of stand-up comedy on social media platforms.
DOI: 10.17632/3d9rxbdydt
title: Educating future educators in sustainability: the conceptions, values and attitudes of students and faculty at the university

description: The university has the ethical, academic and peremptory responsibility to train education students and future trainers in sustainability. It is also something that the university teaching staff must be prepared to address. Through a pretest-posttest study, we analyse which sustainability values and attitudes future teachers acquire when they work with activities on sustainability. At the same time, we analyse the attitudes and knowledge held by the teachers who carry out these activities in sustainability education. The findings regarding the difficulty students have in integrating the various aspects of sustainability are discussed, as well as the gaps and resistance of the university faculty who design and develop such processes
DOI: 10.17632/2j8hy7jfr2
title: Dataset and algorithms for the Bayesian framework to assess and create risk maps of groundwater flooding 

description: This repository is part of the research "A Bayesian Framework to Assess and Create Maps of Groundwater Flooding", written by Pablo Merchán-Rivera, Alexandra Geist, Markus Disse, Jingshui Huang, and Gabriele Chiogna. The algorithms and scripts apply the framework to create maps of groundwater flooding susceptibility in a numerical model that simulates the groundwater flood event. The algorithm includes the application of the elementary effects method, a Markov Chain Monte Carlo inference using the DREAM algorithm, and the exploration of the predictive posterior distributions of the groundwater heads. The simulation performed in the research can be run using this repository to reproduce the research results.
DOI: 10.17632/m93nnxxx8p
title: Consumptive Behavior and Saving Ring Workers Case Study in Cihideunghilir Kuningan, Indonesia

description: Income is the response from what we do such as salary, rent interest, commission, expanse, and profit. The ring craftsman gets income from making a ring, and that income will use to consuming thing or merits that they need. The high income can increase consumption ability and make the consumption higher. The high income can increase saving ability. Problem formulation in this research is first is the income influential to the consumption pattern of ring craftsman at Cihideunghilir Village Cidahu Subdistrict Kuningan Regency. Two is the income influential to saving ability of ring craftsman at Cihideunghilir Village Cidahu Kuningan West Java, Indonesia.
DOI: 10.17632/bdc68k4hc9
title: Supporting information for " First high-precision U–Pb CA–ID–TIMS age of the Chuanlinggou Formation, North China Craton: Implications for global correlations of black shales and the Statherian/Calymmian boundary"

description: This supporting information includes detail analytical methods for U–Pb CA–ID–TIMS geochronology and total organic carbon (TOC) content (Text S1), U–Pb CA–ID–TIMS isotopic data for volcanic tuff from the Chuanlinggou Formation, Kuancheng County (Tables S1), total organic carbon (TOC) concentrations of black shales from the Chuanlinggou Formation, Kuancheng County (Tables S2), zircon U-Pb ages of tuffaceous ash beds within the ca. 1640 Ma black shales in the North China and North Australian cratons (Table S3), summary of the ca. 1640 Ma LIPs and associated magmatic rocks in different cratons (Table S4), stratigraphic columns of the Chuanlinggou Formation in the Yanliao Basin (Figure S1) and cross section of the upper Chuanlinggou Formation in Shenxianling-Wengjiazhuang, Kuancheng County (Figure S2).
DOI: 10.17632/d5x4mcjygf
title: Comparison of Techniques for the Automatic Diagnosis of Alzheimer’s Disease
DOI: 10.17632/hrgfj7xfgs
title: Benthic foraminifera as proxy for fossil seagrass from the Lower Pleistocene deposits of the Stirone River (Emilia-Romagna, Italy) - Raw Data

description: This dataset contains the raw data resulting from the picking of benthic foraminifera within the Pleistocene deposits of the Stirone River (Emilia-Romagna, Italy). The aim of this project is to test foraminifera as Indirect Palaeo-Seagrass Indicators (IPSIs). Foraminiferal analyses, based on these data, focused on two different biofacies: a Thalassinoides biofacies, characterised by an oligotypic assemblage (samples R) and a Pinna biofacies, that shows high biodiversity and represents an infralittoral soft bottom colonised by marine phanerogams (samples S). Several indexes have been calculated using these data, such as the IndexEP, the modified FORAM index (FI’), the “long vs. short life-span index” (ILS), and the K/REXT (keeled/rounded morphotypes). Morphotype-based analysis has been provided, too. Among the tested indexes, the latter (K/REXT) proved to be the most reliable IPSI, considering also the presence of morphotype A*, permanently attached, encrusting foraminifera and the abundance of Rosalinidae.
DOI: 10.6084/m9.figshare.14285887.v1
title: Feeding aspects of Knodus heteresthes (Eigenmann, 1908) and Moenkhausia lepidura (Kner, 1858) (Characiformes, Characidae) in the Teles Pires and Juruena Rivers, southern Amazon

description: Abstract The composition of the diet of two species of characids (Knodus heteresthes and Moenkhausia lepidura) was evaluated in the Teles Pires and Juruena Rivers, sampled in September and October 2016. We analyzed 226 stomachs of K. heteresthes and 425 of M. lepidura. The analysis of the stomach contents was based on volumetric and frequency of occurrence methods, applying the food importance index. For the similarity of the diets between the species we calculated the niche overlap with Pianka’s index. Both species in the Juruena River have a dietary preference for arthropods (IAi &gt; 0.95). In the Teles Pires River the diet is concentrated in three sources for both species: arthropods (IAi &gt; 0.52), vegetables (IAi &gt; 0.33) and fish (IAi &gt; 0.12). The diet was dissimilar when compared to environments (ANOSIM, R ≥ 0.57, p &lt; 0.001) with high trophic niche overlap (α &gt; 0.97), regardless of the sampled environment. In the Teles Pires River, both species were classified as omnivorous with an insectivorous tendency and in the Juruena River the insectivorous behaviour occurs.
DOI: 10.6084/m9.figshare.17073017.v1
title: Coordination Modulation of Iridium Single-Atom Catalyst Maximizing Water Oxidation Activity.xlsx

description: All the data supporting this study are available in the paper and Supplementary Information.
DOI: 10.6084/m9.figshare.16915669.v1
title: Fish out of water: genomic insights into persistence of rainbowfish populations in the desert

description: Msplendidatatei.vcf contain information about 20,254 high quality unlinked SNPs for 351 samples and 15 replicates<br><br><br><br>
DOI: 10.17632/mgknm534xc
title: From digital wallets to social dividends: How digital financial inclusion drives household prosocial behavior in China

description: This replication folder corresponds to the empirical results presented in the paper “From Digital Wallets to Social Dividends: How Digital Financial Inclusion Drives Household Prosocial Behavior in China” by Shujin Zhu, He Chen, and Yiding Tang.
DOI: 10.6084/m9.figshare.17108666.v1
title: ROSES for systematic map report

description: ROSES for systematic map report for a systematic map of human-raptor interaction and coexistence research.<br>
DOI: 10.17632/67htnzmwbb
title: Mexican Sign Language's Dactylology and Ten First Numbers - Labeled images and videos. From person #6 to #11

description: The dataset comprises edited recordings of Mexican sign language's Dactylology (29 signs) and Ten First Numbers (from 1 to 10), including static and continuous signs accordingly from person 6 to the person 11. The edited recordings are organized for easy access and management. Edited videos and screenshots of static signs are labeled in their file with corresponding sign language representations and stored in a consistent order per person, the number of the cycle of recording, and per hand. Static sign images can be exported in PASCAL VOC format with XML annotations too. The dataset is designed to facilitate feature extraction and further analysis in Mexican sign language recognition research.
DOI: 10.17632/8x86cnhm94
title: Two-sector, directed search in health care: A numerical simulation

description: This is a Maple program sheet, providing instruction for the numerical solution of the paper "A two-sector model of healthcare provision with directed search" by Karine Lamiraud et Radu Vranceanu (ESSEC Business School), April 2025.
DOI: 10.6084/m9.figshare.23744037.v1
title: Dataset S1-S3, Table S1-S4, Code S1

description: Dataset S1: Detrital zircon U-Pb age data. Dataset S2: Geochemical elements data (Major and trace elements, including rare-earth elements). Dataset S3: Sr isotope data shown in Main Text Fig. 3a. Table S1. OSL dating results for sediments samples of ~1050-1060 m shorelines in Jilantai area. Table S2. OSL dating results for terrace sediments in Hequ area. Table S3. AMS radiocarbon dates of the samples in Jilantai area. Table S4. Location of the samples in this study. Code S1: A MATLAB-based method for calculating the crustal flexural deformation.
DOI: 10.17632/5ndrsys7rn
title: Two-Stage joint distillation strategy for unsupervised anomaly detection in wire arc additive manufacturing

description: In wire arc additive manufacturing (WAAM), real-time defect detection is essential for quality assurance, yet the process is hindered by the scarcity of anomaly samples and the inherent unpredictability of anomaly types. To address the above challenges, this paper proposes an online unsupervised anomaly detection model based on knowledge distillation. A two-stage joint distillation strategy is developed to address the generalization limitations of symmetric teacher-student architectures. The designed model contains both forward distillation and reverse distillation stages, which improves the accuracy of the model in recognizing anomalies. In addition, before verifying the effect of the model, this paper produces a WAAM defect dataset using a welding anomaly detection system. The experimental results show that the average AUROC value for image-level anomaly detection can reach 93.3%. The developed method has practical application prospects in industrial anomaly detection and is of great significance for anomaly feedback in the additive manufacturing process.
DOI: 10.17632/r6yng7dyfs
title: UIP Deviations: Insights from Event Studies

description: This folder contains all the necessary codes to replicate the paper "UIP Deviations: Insights from Event Studies."
DOI: 10.6084/m9.figshare.12227303.v5
title: Food or just a free ride? A meta-analysis reveals the global diversity of the Plastisphere: Files and figures created during analysis

description: All intermediate and final files produced during the metaanalysis presented in "Food or just a free ride? A meta-analysis reveals the global diversity of the Plastisphere", published in The ISME Journal (https://www.nature.com/articles/s41396-020-00814-9)Further details of these analyses are given at: https://github.com/R-Wright-1/Plastisphere-MetaAnalysis (and in Supplementary File 1 in this project).
DOI: 10.6084/m9.figshare.21395013.v1
title: dataset_Chomeletal2022_natcom.xlsx

description: We quantify how grassland management modifies the transfer of recent photosynthates and soil nitrogen through plants and soil food webs during a post-drought period in a controlled field experiment, using <em>in situ</em> 13C and 15N pulse-labelling in intensively and extensively managed fields. For this we simulated summer drought using rainfall shelters on paired extensively and intensively managed mesotrophic grasslands across three geographically distinct locations in northern England with similar soils, vegetation and topographical conditions. In both control and drought plots, plant communities and soil food web (microorganisms and mesofauna) biomass and composition were determined. To simultaneously investigate the short-term allocation of N and recently assimilated C below-ground during a post-drought period, we pulse-labelled plants with 13C-CO2, and soil with 15N-NO3 at the end of the simulated drought. We traced the incorporation of 13C and 15N into plant shoot and roots, microbial biomarkers, soil mesofauna trophic groups and soil CO2 and N2O fluxes over a 20-day post-drought period.
DOI: 10.17632/5z56x8fvkg
title: Supplemental Data for: Phenotypical Differences of Atopic Dermatitis Stratified by Age

description: Supplemental Tables 1-4 for: Phenotypical Differences of Atopic Dermatitis Stratified by Age
DOI: 10.17632/647z57d26b
title: ATR-FTIR, XRD, and TGA data for methylammonium iodide, methylammonium bromide, formamidinium iodide, and formamidinium bromide characterization

description: The data stored in this repository is used to confirm the structure of four organic halide salts using x-ray diffraction (XRD) and attenuated total reflectance Fourier transform infrared spectroscopy (FTIR) data (methylammonium iodide, methylammonium bromide, formamidinium iodide, and formamidinium bromide). Once their structures are confirmed, their vapor pressures are estimated from the thermogravimetric analysis (TGA) data. The rate of mass loss at several isothermal conditions can be used to evaluate the vapor pressure of each material. The single pass TGA data for each salt is used to confirm that no secondary mass loss events occur and that each sample evaporates uniformly. Each salt is found to evaporate in a single step, allowing the enthalpy and entropy of vaporization to be calculated and used to determine the vapor pressure from the Clausius-Clapeyron equation. The columns of the ATR-FTIR data represent wavelength in units of wavenumber and absorbance in arbitrary units.
DOI: 10.17632/dckfrhw7m4
title: Data for: Does Democracy Cause Growth? A meta-analysis (of 2000 regressions)
DOI: 10.17632/2xj33cfzns
title: Data for: Density and composition of surface and buried debris in beaches of Senegal

description: Data on the characteristics of plastic debris recorded in beaches with contrasting levels of urbanization in Senegal.
DOI: 10.17632/6spbcyrpjr
title: TRAF2 saxs H4
DOI: 10.17632/bsxgbt8wnp
title: Academic motivation and learning strategies: Dataset in a public university sample

description: The dataset presents scores obtained in each of the items that make up the factors of the instrument. The scores obtained in Motivation scale (Table 3) and Learning Strategies Scales (Table 4). To interpret the obtained points, the statistical mean is used as a comparison, as well as the empirical mean to make the respective inferences according to each factor. 
This data includes information from university students; this can provide a parameter to identify student perception about their own motivation orientation (intrinsic or extrinsic), academic stress, self-efficacy and learning strategies
DOI: 10.17632/x4dwwfwtw3
title: TEM virus dataset

description: The dataset contains in total 1245 images of 22 virus classes captured with two different electron microscopes: an LEO (Zeiss, Oberkochen, Germany) with a Morada (Olympus) camera and a Tecnai 10 (FEI, Hillsboro, OR, USA) with a MegaView III (Olympus, Münster, Germany) camera. Before imaging, all samples were treated with 10% phosphate-buffered saline, placed on carbon-coated TEM grids, and stained with 2% phosphotungstic acid following standard procedures. The virus image dataset is challenging due to many reasons: limited annotation (a center point/line and not a full segmentation mask), a relatively small number of images per class, diffuse virus boundaries, imperfect focus, noise, different magnifications, and a large variation of the virus, background, and debris appearance. The virus classes in the dataset are strongly unbalanced both regarding the number of images (from 9 to 129) and in the number of virus particles (from 38 to 1934). The sizes of all RAW images are either 1376 x 1032 or 2048 x 2048 pixels (depending on with which electron microscope they were captured) but the pixel sizes vary from 0.26 to 5.57 nm, i.e., they were acquired at different magnifications. Each virus particle is annotated only with its approximate center, i.e., a single point for isolated spherical particles or a centerline in case of clustered viruses (beyond visual recognition of individual particles) or elongated virus. The annotations are in the form of coordinate points stored in a separate text file for each image. We also include image patches of 256 x 256 pixels (256 x 256 nm). The patches were cropped from rescaled images around the annotation points: the manually selected center points for spherical virus particles and all center-line vertices for elongated virus particles, except for the elongated particles that were annotated with a center-line composed of only 2 points (this would usually indicate an oval-shaped virus particle as in e.g. Orf) – in this case, we selected a new point between them for the center of the patch. This resulted in more image patches than particles in virus classes with elongated particles, particularly in Marburg, Ebola, Influenza, Lassa, and Nipah. As many annotation points were placed relatively close to each other (due to natural clustering of the virus particles and/or complex shapes of the elongated particles), the patches cropped from the same image sometimes overlap with each other to some degree. However, this did not lead to a data leakage between the training, validation, and test sets because they were established at the image level and special care was taken to remove images from the dataset that captured the same virus particles (i.e., overlapping images). We augmented the training set image patches by flipping and multiple 90 degrees rotations so that each class contains 736 input samples. Those classes that originally contained more than 736 patches were randomly reduced to this number.