cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13655666.v1
title: Supplementary Material for: Immunmodulation bei autoimmunen interstitiellen Lungenerkrankungen

description: Interstitielle Lungenerkrankungen (ILD) im Rahmen einer Autoimmun- oder Systemerkrankung werden zunehmend erkannt, und der Kenntnisstand zu ihrer Pathophysiologie erweitert sich derzeit rapide. Doch das therapeutische Vorgehen stützt sich weiterhin vor allem auf etablierte langwirksame Antirheumatika (DMARD), zu denen – trotz ihrer jahrzehntelangen Anwendungsgeschichte bei zugrunde liegenden Erkrankungen wie rheumatoider Arthritis – vor allem retrospektive Daten vorliegen, um Aufschluss über ihre Auswirkungen auf den Verlauf der ILD zu geben. Randomisierte Studien zur Untersuchung der Auswirkungen von biologischen DMARD sind in den letzten Jahren abgeschlossen worden oder laufen derzeit und bringen so neue Behandlungsoptionen für diese oft erbarmungslos fortschreitenden Erkrankungen hervor. Hier geben wir einen Überblick über die Evidenzlage und die gegenwärtige Anwendungspraxis von synthetischen und biologischen DMARD bei ILD im Zusammenhang mit Autoimmun- und systemischen Erkrankungen.
DOI: 10.6084/m9.figshare.13990961.v1
title: Winter Mortality Final Data.xlsx

description: This data set contains the day of mortality for blue crabs in winter survival experiments that have been subjected to a simulated winter at different controlled temperatures and salinities in laboratory enclosures. The data was obtained over various years using a range of crabs from different bays, hatcheries or the wild, of different sexes, and in a range of sizes. This is a combined data set, containing data from previously published experiments.
DOI: 10.6084/m9.figshare.18733019.v1
title: Will daytime community calcification reflect reef accretion on future, degraded coral reefs?

description: Datasets describing the effect of a coral bleaching event (Jan - Feb 2020) at Heron Island, Australia on coral reef community metabolism (net ecosystem calcification and production), coral physiology (symbiont densities and photosynthetic yields), reef temperature (celsius), reef light (umol quanta m-2 s-1), and benthic community composition (relative % cover).<b><br></b><br>
DOI: 10.6084/m9.figshare.25393195.v1
title: hypertension analysis.csv

description: <b>A cohort study of 197,080 singleton live births in China. The study first estimated the association between heat exposure, maternal hypertension and</b> <b>clinical subtypes of PTB, and then quantified the role of maternal hypertension in heat and PTB using mediation analyses.</b>
DOI: 10.6084/m9.figshare.28522265.v3
title: <b>Color Analysis of Singapore Shophouses</b>

description: The datasets include:Ten pairs of shophouse photos taken before and after 1989Three groups of GSV images featuring three historical styles3103 GSV images distinguished by three districts and 80 streets
DOI: 10.17632/nfj84km5fz
title: Agriculture dataset Karnataka

description: The dataset you've provided appears to capture agricultural data for Karnataka, specifically focusing on crop yields in Mangalore. Key features include the year of production, geographic details, and environmental conditions such as rainfall (measured in mm), temperature (in degrees Celsius), and humidity (as a percentage). Soil type, irrigation method, and crop type are also recorded, along with crop yields, market price, and season of growth (e.g., Kharif).

The dataset includes several columns related to crop production conditions and outcomes. For example, coconut crop data reveals a pattern of yields over different area sizes, showing how factors like rainfall, temperature, and irrigation influence production. Prices also vary, offering insights into the economic aspects of agriculture in the region. This information could be used to study the impact of environmental conditions and farming techniques on crop productivity, assisting in the development of optimized agricultural practices tailored for specific soil types, climates, and crop needs.
DOI: 10.6084/m9.figshare.7504448.v1
title: Global Aridity Index and Potential Evapotranspiration (ET0) Climate Database v2

description: The Global Aridity Index (Global-Aridity_ET0) and Global Reference Evapotranspiration (Global-ET0) Version 2 dataset provides high-resolution (30 arc-seconds) global raster climate data for the 1970-2000 period, related to evapotranspiration processes and rainfall deficit for potential vegetative growth, based upon the implementation of a Penman Montieth Reference Evapotranspiration (ET0) equation. The Global-Aridity_ET0 and Global-ET0 datasets are provided for non-commercial use in standard GeoTiff format, at 30 arc seconds or ~ 1km at the equator.
DOI: 10.17632/jstgdv3vcb
title: Online Food Ordering Activity

description: This dataset investigates online food ordering (OFO) behavior, focusing on young adults (ages 16–30) to explore the relationship between OFO usage, order frequency, and obesity. The study hypothesizes that frequent OFO usage may correlate with higher BMI levels due to food choices and ordering convenience and that factors like impulsive decision-making, tech-savviness, promotional offers, and convenience are key drivers of OFO frequency. Additionally, it proposes that frequent and infrequent users exhibit distinct behaviors, with frequent users more aware of nutritional quality and infrequent users citing cost concerns as a barrier. The dataset contains 343 records with columns covering demographics, health, economic factors, and behavioral motivations for OFO, as well as preferred platforms. Key findings show a weak positive association between OFO frequency and obesity (p-value = 2.43e-7, coefficient = 0.28), and classification models such as Random Forest achieve 81% accuracy in predicting frequent users, identifying convenience, variety, and promotional discounts as top motivators. The dataset provides a basis for modeling OFO behavior and assessing health implications, with potential applications in consumer segmentation and public health, revealing cultural and economic factors shaping OFO practices.

The data was collected by via a survey, which had questions split into two sections: demographics and OFO-related factors. Comprising 25 questions, the survey included text-based items, multiple-choice questions, checkboxes, and Likert scale items. Administered anonymously via Google Forms, it prioritized respondent privacy and ease of completion. After gathering initial feedback from peers, adjustments were made to refine the final version.
DOI: 10.17632/mrjsszgwjv
title: Senecavirus A can replicate in apical-out porcine intestinal organoids and induce stress granules and innate immune response

description: The raw data of the study is available.
DOI: 10.34740/kaggle/dsv/12022037
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.6084/m9.figshare.13952993.v1
title: Master_Metadata.txt

description: Master Metadata file for all samples included in this study
DOI: 10.6084/m9.figshare.27024274.v1
title: Chromosome-level assembly of the Tibetan cherry genome P. serrula Franch.

description: tibetan cherry genome
DOI: 10.6084/m9.figshare.28462808.v1
title: Mexico's High Resolution Climate Database (MexHiResClimDB): daily minimum temperature for Mexico

description: Daily minimum temperature for Mexico at a resolution of 20 arc-seconds for the 1951-2020 period. The provided data were obtained by using Kriging with External Drift on a local neighborhood (KEDl) through gstat within R and GRASS along a relational database developed in PostgreSQL.
DOI: 10.6084/m9.figshare.28468709.v1
title: Supplementary Material for: Prevalence and Risk Factors for Walnut and Cashew Nut Sensitization in Preschool Children with Food Allergies in Japan

description: Introduction:
The incidence of tree nut allergies, including walnut and cashew nut allergies, has increased significantly globally. In Japan, these allergies rank third after egg and milk allergies and are associated with high rates of anaphylaxis. Jug r 1 and Ana o 3 are effective biomarkers for diagnosing walnut and cashew nut allergies. However, sensitization rates and risk factors among preschool children remain underexplored. This study aimed to investigate the prevalence of Jug r 1-sIgE and Ana o 3-sIgE sensitization, as well as their associated risk factors, in this population.
Methods:
This retrospective study was conducted at four hospitals in Chiba Prefecture and included preschool children under 7 years diagnosed with food allergies and without prior tree nut consumption. Sensitization was defined as a specific IgE level of ≥0.35 IU/mL. Clinical data, including allergic conditions, were analyzed, and logistic regression was used to identify the risk factors for sensitization.
Results:
Among 248 children, Jug r 1-sIgE and Ana o 3-sIgE levels were measured in 198 and 215, respectively. Jug r 1 sensitization peaked at 34.0% in the 3–4-year group, while Ana o 3 sensitization peaked at 12.2% in the 5–6-year group. Cashew, peanut, and wheat allergies were identified as major risk factors for Jug r 1 sensitization, whereas peanut, walnut, and wheat allergies were associated with Ana o 3 sensitization.
Conclusion:
Jug r 1-sIgE and Ana o 3-sIgE sensitization are prevalent in high-risk preschool children in Japan. Early screening and personalized management strategies are essential for managing tree nut allergies.
DOI: 10.6084/m9.figshare.5971360.v1
title: Syntax for "A Longitudinal Examination of Social Connectedness and Suicidal Thoughts and Behaviors among Adolescents"

description: Syntax for "A Longitudinal Examination of Social Connectedness and Suicidal Thoughts and Behaviors among Adolescents" logistic regressions.
DOI: 10.17632/yysswv4rbc
title: A Fortran program to calculate the matrix elements of the Coulomb interaction involving hydrogenic wave functions ☆

description: Abstract The presented program calculates the matrix elements of the Coulomb interaction between a charged particle and an atomic electron, ∫ψ_f *(r)|R-r|^(-1)ψ_i (r)dr. Bound-free transitions are considered, and non-relativistic hydrogenic wave functions are used. The program consists of subroutines that compute matrix elements between eigenstates of both the total angular momentum j, and the orbital angular momentum l. As further output quantities, the radial components of the multipole series exp... Title of program: MTRXCOUL Catalogue Id: ADMW_v1_0 Nature of problem The theoretical description of the excitation and ionization of atoms by charged particle impact often requires the knowledge of the matrix elements of the Coulomb interaction. The program MTRXCOUL calculates the matrix elements between bound and free states represented by non-relativistic hydrogenic wave functions. Versions of this program held in the CPC repository in Mendeley Data ADMW_v1_0; MTRXCOUL; 10.1016/S0010-4655(00)00160-0 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.6084/m9.figshare.14822979.v1
title: Urban Coastal Habitat Data Mazor et al. (2021) One Earth: Cell Press

description: Data that underpins the analysis in the paper Mazor et al. (2021) One Earth. Datasets shows the connection of urban areas with habitat, and the analysis of Conservation Potential (CP) at both the 10km Buffer and 50 km Buffer.
DOI: 10.6084/m9.figshare.21695603.v3
title: PSY-COVID-1, study of Health personnel dataset

description: This is the dataset from the PSY-COVID-1 online survey in its first wave (may-september 2020) employed in the study "predictive factors of mental adjustment of health personnel during the first wave of the COVID-19 pandemic: An international survey". It contains data provided by 16221 heatlh workers from 22 countries and a age-gender and country matched sample of 16221 people from general population. Dataset contains data about these domains: Behavioural changes and adaptation during the pandemic, behaviours and their determinants facing the SARS-CoV-2 contagion, mental health (anxiety, depression, somatization, posttraumatic growth), social and physical context of lockdown/confinement during the first wave of the pandemic, personal dispositional variables (personality, resilience, loneliness) and sociodemographical variables.
DOI: 10.6084/m9.figshare.28742360.v2
title: Regression_Transactions.csv

description: Transaction data for Model 1
DOI: 10.6084/m9.figshare.28917239.v1
title: Supplementary Table5 TPM Data of Solanum pennellii・Solanum arcanum and Solanum lycopersicum.csv

description: Currently, domesticated species available on the market have been developed through the breeding of wild relatives. We collected gene expression data of domesticated species of rice, tomato, and soybean, along with their presumed ancestral species, and conducted a meta-analysis to investigate differentially expressed genes during domestication. In wild relatives, the expression of gene groups involved in osmotic, drought, and wound stress tolerance was upregulated. In contrast, in domesticated species, upregulated ex-pression was observed in gene groups related to auxin and those involved in the efflux of heavy metals and harmful substances. By identifying these genes with differential ex-pression levels, we can gain insights into how domestication has influenced changes in crop traits. In particular, breeding strategies that make use of wild relatives with high genetic diversity are attracting attention as an important approach for addressing climate change and ensuring a sustainable food supply. The findings obtained in this study are expected to contribute to the realization of rapid breeding and the development of new varieties capable of growing in harsh natural environments. To address this issue, a new cultivation method called "De novo domestication" has been proposed, which combines the genetic diversity of currently unused wild relatives and wild relatives with genome editing technologies that enable rapid breeding.
DOI: 10.5522/04/29046854.v1
title: Todd Group Idler Library - Plate MHT0001 Results

description: Results from the evaluation of the first "idler" library from the Todd research group at University College London. Sheet curated by Eve Carter and Rebecka Isaksson. Biological evaluation by a group at the UK Health Security Agency (Joanna Bacon, Chris Moon, Mark Sutton, Hazel Rudgyard, Adam Roberts)
DOI: 10.6084/m9.figshare.16910878.v5
title: InundationExtent_Hurricane_Florence_UAVSAR_V2.0

description: The 2018 Hurricane Florence produced heavy rainfall and subsequent record-setting riverine flooding in North Carolina, USA. NASA/JPL collected daily high-resolution (about 5 meters) full-polarized L-band Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) data between September 18th and 23rd. Here, we use UAVSAR data to construct a flood inundation detection framework through a combination of polarimetric decomposition method and a Random Forest classifier. Validation of the established model with compiled ground references shows that the incorporation of linear polarizations with polarimetric decomposition and terrain variables significantly enhances the accuracy of inundation classification, and the Kappa statistic increases to 91.4% from 64.3% with linear polarizations alone. This data set contains inundation extent information of four UAVSAR flight lines (i.e., 13510, 31509, 32023 and 35303) with at least four days’ observations from Sep 18 to Sep 23, corresponding to the area covering the Neuse, Cape Fear, and Lumbee Rivers as well as their tributaries in Eastern North Carolina.<br>Please note: The dataset and its related manuscript (Wang et al. 2021) are still under review. Changes, corrections, and improvements are expected before the final acceptance. <br>
DOI: 10.6084/m9.figshare.23977905.v1
title: Excel Data: Cyberbullying, resilience and depression

description: This new data in Excel file were from a study regarding cyberbullying victimization, resilience and depression among university students in Saudi Arabia. The data are valuable as it shows the trend of cyberbullying behaviour among university students and it relates to psychological problems such as depression. However, having resilience can buffer this negative effect. The data were collected using questionnaire. Results showed significant positive correlations between cyberbullying victimization and depression, and a significant negative correlation between resilience and depression. This means that if students have higher resilience, they obtain lower scores in depression.
DOI: 10.6084/m9.figshare.5155384.v1
title: U–Pb zircon geochronology of Cretaceous arc magmatism in eastern Chukotka, NE Russia, with implications for Pacific plate subduction and the opening of the Amerasia Basin

description: Geochemistry data table.
DOI: 10.6084/m9.figshare.7934942.v2
title: R functions for Mahalanobis' distance and related effect sizes

description: Version 8c<br><br>Two simple R functions to compute multivariate standardized differences between two groups (Mahalanobis’ <i>D</i>), either from raw data or from Cohen's <i>d</i> values and correlations. The functions return uncorrected and bias-corrected values of <i>D</i>, exact confidence intervals, bootstrapped confidence intervals (only from raw data), heterogeneity coefficients, and a number of additional diagnostics and effect sizes. Disattenuated estimates can also be computed if desired.<br><br><br>See: Del Giudice, M. (2020). Measuring sex differences and similarities. In D. P. VanderLaan & W. I. Wong (Eds.), Gender and sexuality development: Contemporary theory and research. New York, NY: Springer.
DOI: 10.17632/8cwgy7ry53
title: La Transformación Digital Lo bueno, lo malo y lo feo de algunos de sus efectos en la economía, en la sociedad y en el ser humano

description: La transformación digital impulsa la eficiencia, innovación y conectividad. Sus efectos positivos incluyen mejoras operativas, mayor agilidad y acceso a nuevas oportunidades de negocio. Sin embargo, puede generar desafíos como la resistencia al cambio y preocupaciones sobre privacidad y seguridad, representando los aspectos "malos". El lado "feo" incluye la brecha digital y posibles desplazamientos laborales. Navegar estos desafíos requiere estrategias integrales y adaptabilidad.
este libro persigue esas experiencias globales (dentro de este mundo en que el modelo socioeconómico de la globalización se nos ha impuesto), para su conocimiento, análisis y algunas que otras reflexiones mías, porque la idea central es sólo mostrar y permitir al lector sacar sus propias conclusiones, teniendo en cuenta que a quienes va dirigido es a un público competente para leerlo y entenderlo, lo cual no impide que el estilo de escritura sea, en lo posible sencillo y claro, especialmente porque nadie está obligado a saberlo todo, de allí que las palabras, esas que no puedan entenderse por su sentido natural y obvio, se expliquen inmediatamente cuando pertenecen a una disciplina del conocimiento para permitirle al lector lego en ella, una lectura continua sin las interrupciones por búsquedas en Google u otros buscadores en Internet . 
También en el contexto se hace un poco de historia referida a algunos temas o circunstancias para dar un marco teórico e histórico que ayude a entender por qué antes y ahora, como pasa con los cambios en las costumbres o modo de vivir y las revoluciones como antesala a la revolución digital concretamente.
DOI: 10.17632/smxsknsmtd
title: Machine Learning Models and Dataset for Boric Acid Sorption in Zeolites

description: 1) Descriptors used for machine learning and computed boric acid uptake (https://doi.org/10.17632/wz6zz4ntxw.1) for zeolites (5345 points) as tabular data. 
2) Six cross validated machine learned models (2XGBoost, 2Random Forest, 2 LGBoosting) (.pkl files)
DOI: 10.6084/m9.figshare.19114688.v1
title: codes for "Dynamic-quenching of a single-photon avalanche photodetector using an adaptive resistive switch"

description: codes
DOI: 10.6084/m9.figshare.28452545.v6
title: iToBoS 2024 - Skin Lesion Detection with 3D-TBP

description: <b>The iToBoS dataset: skin region images extracted from 3D total body photographs for lesion detection</b><br>The early detection of skin cancer is critical for improving patient outcomes. Traditionally, dermatologists rely on dermoscopy to examine pigmented skin lesions. While this non-invasive technique enhances diagnostic accuracy, its effectiveness is highly dependent on the clinician’s expertise. Additionally, capturing dermoscopic images for every suspicious lesion is a labor-intensive process. Given these challenges, there is an increasing need for computer-aided diagnosis (CAD) systems that utilize conventional cameras. Such systems can support general physicians and other non-specialist practitioners in identifying potential malignant lesion, improving early detection and intervention. Moreover, they facilitate longitudinal tracking of lesions, aiding researchers in studying disease progression and treatment efficacy.This dataset provides high-resolution skin patch images extracted from 3D total body photographs to support the development of advanced machine learning models for lesion detection. It serves as a valuable resource for researchers working on automated skin lesion analysis, particularly in the context of total body photography (TBP).<b>Dataset Description:</b><br>The iToBoS dataset consists of 16,954 high-resolution images of skin regions obtained from anonymized 3D avatars of patients. These avatars were generated using the Canfield VECTRA WB360 system, a cutting-edge imaging technology that captures comprehensive, full-body skin images using 92 fixed cameras arranged in 46 stereo pairs with xenon flash lighting. The images were collected from patients at two clinical sites: the Clinical Hospital of Barcelona (Spain) and the University of Queensland (Australia).The dataset provides diverse anatomical locations, including the torso, arms, and legs, with each image having an average resolution of 1012x827 pixels and a 45-pixel overlap between adjacent images. The images are extracted from 3D avatars while ensuring compliance with GDPR regulations by automatically removing patient facial features. Each image is accompanied by metadata, including patient age range, body location, and sun damage score, allowing for in-depth analysis and stratification.<b>Significance of the Dataset:</b><b>Facilitates Automated Skin Lesion Detection:</b> The dataset supports the development of AI-based lesion detection models that can improve early diagnosis of skin cancer, particularly in regions with limited access to dermatological expertise.<b>Supports Total Body Photography Research:</b> Leveraging 3D TBP for lesion detection is an emerging field, and this dataset provides a benchmark for further exploration.<b>Enhances Machine Learning Applications:</b> The dataset serves as a benchmark for developing state-of-the-art computer vision and deep learning models for detection of skin lesions.<br>
DOI: 10.17632/992j4h96ky
title: Forces and grain-grain contacts in bidisperse beds sheared by viscous fluids I: Pre-CFDEM Scripts

description: These files include both pre-setup and post-setup CFDEM simulations at the grain scale, using Computational Fluid Dynamics-Discrete Element Method (CFD-DEM). With this approach, we tracked the positions, velocities, forces, and solid contacts experienced by each grain, enabling us to analyze the distribution of forces caused either directly by the fluid or through solid-solid contacts within the bed. We also explored the relationship between force propagation and the reorganization of grains in beds sheared by viscous flow. Additionally, we provide MATLAB scripts to: i) extract data from CFDEM results files, ii) reorganize bed properties and contact force data by time and by particle, and iii) compute variables and generate plots.