cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28622150
title: A unified framework for estimation of truncated bivariate normal distribution with non-regular domains: applications in medicometrics

description: Truncation is a core issue in the multivariate statistics and distribution theory. Concurrently, the <i>bivariate normal distribution</i> (BND) holds critical significance in R2. Despite the pivotal importance of truncated BNDs in biomedical and environmental sciences, the challenge of parameter estimation for this distribution on non-regular truncated domains, including rectangle, remains inadequately tackled. This paper introduces a novel <i>normalized expectation–maximization</i> (N-EM) algorithm to address this issue, which can be achieved by innovatively partitioning R2 and providing closed-form expressions for both the first- and second-order central moments of one–sided truncated distributions of four kinds. Furthermore, we expand the rectangle truncated domain to encompass parallelograms and even non-regular truncated domains, presenting an embedding <i>Monte Carlo N-EM</i> (MCN-EM) algorithm for the estimation in non-regular truncated domains. Our N-EM algorithm surpasses existing methods, solving complex scenarios with proven stability in simulations. Finally, the application of paired medical indicator data for serum protein and albumin provides valuable information for regional health monitoring.
DOI: 10.6084/m9.figshare.28622150.v1
title: A unified framework for estimation of truncated bivariate normal distribution with non-regular domains: applications in medicometrics

description: Truncation is a core issue in the multivariate statistics and distribution theory. Concurrently, the <i>bivariate normal distribution</i> (BND) holds critical significance in R2. Despite the pivotal importance of truncated BNDs in biomedical and environmental sciences, the challenge of parameter estimation for this distribution on non-regular truncated domains, including rectangle, remains inadequately tackled. This paper introduces a novel <i>normalized expectation–maximization</i> (N-EM) algorithm to address this issue, which can be achieved by innovatively partitioning R2 and providing closed-form expressions for both the first- and second-order central moments of one–sided truncated distributions of four kinds. Furthermore, we expand the rectangle truncated domain to encompass parallelograms and even non-regular truncated domains, presenting an embedding <i>Monte Carlo N-EM</i> (MCN-EM) algorithm for the estimation in non-regular truncated domains. Our N-EM algorithm surpasses existing methods, solving complex scenarios with proven stability in simulations. Finally, the application of paired medical indicator data for serum protein and albumin provides valuable information for regional health monitoring.
DOI: 10.6084/m9.figshare.28775294.v1
title: Sampling spiked Wishart eigenvalues

description: Efficient schemes for sampling from the eigenvalues of the Wishart distribution have recently been described for both the standard Wishart case (where the covariance matrix is the identity) and the spiked Wishart with a single spike (where the covariance matrix differs from the identity in a single entry on the diagonal). Here, we generalize these schemes to the spiked Wishart with an arbitrary number of spikes. This approach also applies to the spiked pseudo-Wishart distribution. We describe how to differentiate this procedure for the purposes of stochastic gradient descent, allowing the fitting of the eigenvalue distribution to some target distribution.
DOI: 10.6084/m9.figshare.29039454
title: Superiority of ROC curves among four powers and eight predictive powers with historical and interim data

description: The Receiver Operating Characteristic (ROC) analyses of powers and predictive powers play a crucial role in clinical trials, providing valuable insights. We derive analytical expressions for the ROC curves of four powers (Classical Power (CP), Classical Conditional Power (CCP), Bayesian Power (BP), and Bayesian Conditional Power (BCP)) as well as their associated eight predictive powers for both hypotheses and reversed hypotheses. Furthermore, we thoroughly investigate the comparative superiority of these ROC curves across the four powers and eight predictive powers in five distinct aspects. Our findings reveal that among all the considered powers, the second and eighth predictive powers exhibit exceptional performance. Finally, extensive numerical experiments are conducted along with a real data example to comprehensively evaluate the relative merits of these ROC curves.
DOI: 10.6084/m9.figshare.29039454.v1
title: Superiority of ROC curves among four powers and eight predictive powers with historical and interim data

description: The Receiver Operating Characteristic (ROC) analyses of powers and predictive powers play a crucial role in clinical trials, providing valuable insights. We derive analytical expressions for the ROC curves of four powers (Classical Power (CP), Classical Conditional Power (CCP), Bayesian Power (BP), and Bayesian Conditional Power (BCP)) as well as their associated eight predictive powers for both hypotheses and reversed hypotheses. Furthermore, we thoroughly investigate the comparative superiority of these ROC curves across the four powers and eight predictive powers in five distinct aspects. Our findings reveal that among all the considered powers, the second and eighth predictive powers exhibit exceptional performance. Finally, extensive numerical experiments are conducted along with a real data example to comprehensively evaluate the relative merits of these ROC curves.
DOI: 10.5281/zenodo.17794400
title: Conjunto de Notas de Conversação relativos à Covilhã [2023]

description: Conjunto de notas de conversação em Covilhã. Registos efetuados entre 2023-04-27 e 2023-09-26 no âmbito do projeto de investigação ReARQ.IB – Built Environment Knowledge for Resilient, Sustainable Communities: Understanding Everyday Modern Architecture and Urban Design in the Iberian Peninsula (1939-1985) (ERC GA949686) e publicado online em https://arquitecturaaqui.eu/es/documentacion/notas-de-observacion-o-conversacion/@fields[name,alternateName]/Covilh%C3%A3. Dados exportados da plataforma Arquitectura Aqui (https://arquitecturaaqui.eu), repositório do referido projeto, em dezembro de 2025.
DOI: 10.5281/zenodo.17794401
title: Conjunto de Notas de Conversação relativos à Covilhã [2023]

description: Conjunto de notas de conversação em Covilhã. Registos efetuados entre 2023-04-27 e 2023-09-26 no âmbito do projeto de investigação ReARQ.IB – Built Environment Knowledge for Resilient, Sustainable Communities: Understanding Everyday Modern Architecture and Urban Design in the Iberian Peninsula (1939-1985) (ERC GA949686) e publicado online em https://arquitecturaaqui.eu/es/documentacion/notas-de-observacion-o-conversacion/@fields[name,alternateName]/Covilh%C3%A3. Dados exportados da plataforma Arquitectura Aqui (https://arquitecturaaqui.eu), repositório do referido projeto, em dezembro de 2025.
DOI: 10.5518/1541
title: Dataset for Leaflet Stresses During Crimping Simulations of a CoreValve Evolut Pro Model using a Compression Loading System

description: This dataset contains the 3D models for a CoreValve frame, skirt and leaflets; alongisde 3D models for the components of a Compression Loading System (CLS): inlow cone, outflow cone, inflow tube for the computational simulation of device crimping using the CLS. The .inp file defining the simulation parameters is also included. 3D modelling software was Rhinoceros 8, and the simulation software was ABAQUS 2022.
DOI: 10.5281/zenodo.11126937
title: Outdated test dataset

description: This is a test dataset. Check the newer version.
DOI: 10.5281/zenodo.18375116
title: Forcing files to run the GYRE Apecosm configuration
DOI: 10.5281/zenodo.18375117
title: Forcing files to run the GYRE Apecosm configuration
DOI: 10.26008/1912/bco-dmo.986886.1
title: Morphological and genetic data of tetractinellid sponges from Kāne'ohe Bay, Hawai'i based on specimens collected between 2016 and 2023

description: Here we integrate molecular phylogeny and systematics to distinguish introduced species from those that are potentially native or endemic. We focus on the order Tetractinellida and document the transoceanic dispersal of Geodia papyracea from the Caribbean to Hawai'i, likely via the fouling of ship hauls navigating through the Panama Canal. Our integrative approach allowed us to describe new species of Stelletta, Stelletta kaluhiwa sp. nov., Stelletta cypheri sp. nov., Stelletta camvela sp. nov., Stelletta hewetta sp. nov., Stelletta brighti sp. nov., and one new species of Stryphnus, Stryphnus jonesi sp. nov; all collected from the reef cryptofauna. Specimens were barcoded using 28S and COI molecular markers, providing insights into the phenotypic plasticity of sponges and the phylogenetic placement of these new species based on morphological characters. Using both molecular phylogeny and traditional taxonomy enhances the accuracy of species identification and classification, contributing to a broader understanding of sponge biodiversity within the Hawaiian archipelago.
DOI: 10.5281/zenodo.17475639
title: Novel Prediction Equations for Appendicular Skeletal Muscle Mass in Hemodialysis Patients: Referenced against Bioelectrical Impedance Analysis

description: This dataset contains de-identified baseline anthropometric and bioimpedance information from 111 maintenance hemodialysis (MHD) patients treated at the Kunming (KM) center in Yunnan Province, China. The data were used to evaluate the performance of existing appendicular skeletal muscle mass (ASM) prediction equations against multi-frequency bioelectrical impedance analysis (BIA) and to develop and validate new, hemodialysis-specific prediction models.

The dataset includes demographic data (age, sex), core measurements (height [m], weight [kg]), reference muscle outcomes (ASM by BIA [kg]), limb lengths (arm, upper arm, forearm, leg, thigh, calf; cm), skinfolds (triceps, subscapular, thigh, calf, abdominal; mm), and circumferences (upper arm, forearm, thigh, calf, waist, hip; cm). Variables needed to compute corrected girths are provided—CAG, CTG, and CCG can be derived as measured circumference − π × (corresponding skinfold [mm]/10)—enabling reproduction of the height–weight, height–circumference, and limb length–circumference models as well as the newly developed equations.
DOI: 10.5281/zenodo.18376110
title: dataset_BOS best practices

description: This dataset includes the raw data supporting Deliverable 2.1 of the BEAGLE project.

This dataset contains the mapping of knowledge valorisation networks identified during the BEAGLE project. It details the structural connections between regional stakeholders and the strategic pathways used to transform research outcomes into tangible socio-economic impact. The data serves as a foundation for understanding cross-sectoral collaboration within complex innovation ecosystems.
DOI: 10.5281/zenodo.18376111
title: dataset_BOS best practices

description: This dataset includes the raw data supporting Deliverable 2.1 of the BEAGLE project.

This dataset contains the mapping of knowledge valorisation networks identified during the BEAGLE project. It details the structural connections between regional stakeholders and the strategic pathways used to transform research outcomes into tangible socio-economic impact. The data serves as a foundation for understanding cross-sectoral collaboration within complex innovation ecosystems.
DOI: 10.5281/zenodo.18375867
title: Replication data for "Emotion recognition systems with electrodermal activity: From affective science to affective computing"

description: Replication dataset related to the article: "Emotion recognition systems with electrodermal activity: From affective science to affective computing". This dataset contains the systematic search results and the curated list of articles used for the systematic review on automated affect recognition using Electrodermal Activity (EDA). It includes the raw extraction files, the inclusion/exclusion criteria results, and the final metadata of the studies analyzed in the publication. The purpose is to allow reproducibility of the systematic review process and provide a base for future meta-analyses in the field of affective computing. The dataset was generated following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Searches were conducted across multiple electronic databases using specific boolean queries related to EDA and Emotion Recognition.
DOI: 10.5281/zenodo.18375868
title: Replication data for "Emotion recognition systems with electrodermal activity: From affective science to affective computing"

description: Replication dataset related to the article: "Emotion recognition systems with electrodermal activity: From affective science to affective computing". This dataset contains the systematic search results and the curated list of articles used for the systematic review on automated affect recognition using Electrodermal Activity (EDA). It includes the raw extraction files, the inclusion/exclusion criteria results, and the final metadata of the studies analyzed in the publication. The purpose is to allow reproducibility of the systematic review process and provide a base for future meta-analyses in the field of affective computing. The dataset was generated following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Searches were conducted across multiple electronic databases using specific boolean queries related to EDA and Emotion Recognition.
DOI: 10.5281/zenodo.18375790
title: Short-chain fatty acid quantification data from personalized microbiota screening intervention study

description: This dataset contains short-chain fatty acid (SCFA) concentrations measured by high-performance liquid chromatography with refractive index detection (HPLC-RID) in fecal samples from a randomized crossover intervention study.

Study objective: To evaluate a personalized microbiota screening platform (MyDFF) for selecting optimal dietary fibers to enhance volatile fatty acid production.

Study design: Eight healthy Japanese adults participated in a randomized crossover trial with three phases: baseline period, least prebiotic dietary fiber (L-PDF) intervention, and most prebiotic dietary fiber (M-PDF) intervention. Each participant provided 9 fecal samples (72 total samples).

Analytical method: Ion-exclusion HPLC using Aminex HPX-87H column (300 × 7.8 mm, Bio-Rad) with 5 mM sulfuric acid mobile phase at 65°C. Detection by refractive index detector (RID-10A, Shimadzu). Five SCFAs were quantified: acetate, propionate, butyrate, lactate, and succinate.

Data format: CSV files containing sample IDs, metadata, and SCFA concentrations expressed as μmol/g fecal wet weight.

Related publication: Osawa R, Inoue J, Fukuda I, Shirai Y, Kodama Y. A personalized microbiota screening platform for optimizing individual volatile fatty acid production - A proof-of-concept study. Submitted to Microbiome, 2026.
DOI: 10.5281/zenodo.18375791
title: Short-chain fatty acid quantification data from personalized microbiota screening intervention study

description: This dataset contains short-chain fatty acid (SCFA) concentrations measured by high-performance liquid chromatography with refractive index detection (HPLC-RID) in fecal samples from a randomized crossover intervention study.

Study objective: To evaluate a personalized microbiota screening platform (MyDFF) for selecting optimal dietary fibers to enhance volatile fatty acid production.

Study design: Eight healthy Japanese adults participated in a randomized crossover trial with three phases: baseline period, least prebiotic dietary fiber (L-PDF) intervention, and most prebiotic dietary fiber (M-PDF) intervention. Each participant provided 9 fecal samples (72 total samples).

Analytical method: Ion-exclusion HPLC using Aminex HPX-87H column (300 × 7.8 mm, Bio-Rad) with 5 mM sulfuric acid mobile phase at 65°C. Detection by refractive index detector (RID-10A, Shimadzu). Five SCFAs were quantified: acetate, propionate, butyrate, lactate, and succinate.

Data format: CSV files containing sample IDs, metadata, and SCFA concentrations expressed as μmol/g fecal wet weight.

Related publication: Osawa R, Inoue J, Fukuda I, Shirai Y, Kodama Y. A personalized microbiota screening platform for optimizing individual volatile fatty acid production - A proof-of-concept study. Submitted to Microbiome, 2026.
DOI: 10.21227/ncgw-dc96
title: "Analysis Pipeline For Manuscript: \"Beyond Fixed Calendar: Variabilities and Trends in Local Seasons\""

description: "Precise astronomical dates and fixed meteorological calendars do not capture the near-surface temporal variability of seasons. This study presents a purely data-driven framework to objectively quantify trends in seasons locally, validated using 45 years (1980\u20132024) of hourly ERA5 data for a subtropical location in India. By integrating spectral analysis for primary interval detection with unsupervised k-means clustering, the framework reveals dynamic seasonal soft boundaries. Two distinct multivariate feature-spaces were studied: \u201cAir Temperature - Low clouds - Rain\u201d and \u201cDew Point - Rain - Soil Temperature\u201d. The heatmaps show three seasons corresponding to Winter, Pre-Monsoon (summer), and Monsoon. There is also a distinct transitional phase occurring twice: Winter to Pre-Monsoon and Monsoon-to-Winter. Trend analyses using Modified Mann-Kendall (MMK), Trend-Free Pre-Whitening (TFPW), and Innovative Polygon Trend Analysis (IPTA) were performed to investigate the annual and seasonal trends across the years. These trend tests on the seasonal soft boundaries confirm a significant temporal contraction of the seasonal phase of Winter by more than a week per decade, driven by the expansion of surrounding regimes. To gain a deeper understanding of this behavior, the same trend analysis is also performed on individual meteorological parameters such as temperature and rainfall between annual and seasonal intervals. The annual daily mean temperature increases at +0.028\u25e6C\/year (consistent with existing work on global warming), and the trend for the Annual Daily Minimum Temperature decreases while the Annual Daily Maximum Temperature continues to rise, signaling the widening of the daily temperature range. From a seasonal perspective, however, the Winter daily maximum and minimum temperatures indicate that nights are becoming warmer while days are cooler. Similarly, there is evidence for decreasing total rainfall in the Monsoon season, yet the amount of minimum rainfall is rising. Tracking such variabilities and trends in seasons can enable better economic planning for various domains such as agriculture, outdoor work productivity, and solar energy harvesting. Thus, the current study conducted at S.A.S. Nagar in Punjab, India should motivate extended multi-station investigations across much wider geographies. Please refer full article : Pranoy Ghosh, Srikant Srinivasan, T. V. Ramanathan. Beyond Fixed Calendar: Variabilities and Trends in Local Seasons. TechRxiv."
DOI: 10.48425/bs8ju884
title: Protocol_V_forest_birch_dendro_regional_finnmark

description: A protocol for a tree ring dataset of downy birch (Betula pubescens) stems in a replicated ecological study design across Finnmark county, Northern Norway.
DOI: 10.5281/zenodo.18376068
title: Effects of fire on the structure of ant-plant ecological networks with extrafloral nectaries in the Cerrado

description: This study is based on data obtained from a year-long field monitoring of ant–plant interactions mediated by extrafloral nectaries (EFNs) in a Cerrado area subjected to sequential environmental disturbances. The study site was initially affected by a frost event and subsequently by a high-intensity forest fire.

Data collection focused on regenerating plant species bearing EFNs and their associated ant fauna. Throughout the monitoring period, we recorded ant species richness and abundance, as well as the occurrence and frequency of ant–plant interactions. These observations allowed the characterization of interaction patterns between ants and EFN-bearing plants during post-disturbance regeneration.

The dataset includes quantitative records of ant presence and interaction frequency over time, capturing temporal variation in ant–plant associations following frost and fire events. This information provides a detailed empirical basis for examining how environmental disturbances influence ant–plant interactions mediated by extrafloral nectaries in the Cerrado.
DOI: 10.5281/zenodo.18376067
title: Effects of fire on the structure of ant-plant ecological networks with extrafloral nectaries in the Cerrado

description: This study is based on data obtained from a year-long field monitoring of ant–plant interactions mediated by extrafloral nectaries (EFNs) in a Cerrado area subjected to sequential environmental disturbances. The study site was initially affected by a frost event and subsequently by a high-intensity forest fire.

Data collection focused on regenerating plant species bearing EFNs and their associated ant fauna. Throughout the monitoring period, we recorded ant species richness and abundance, as well as the occurrence and frequency of ant–plant interactions. These observations allowed the characterization of interaction patterns between ants and EFN-bearing plants during post-disturbance regeneration.

The dataset includes quantitative records of ant presence and interaction frequency over time, capturing temporal variation in ant–plant associations following frost and fire events. This information provides a detailed empirical basis for examining how environmental disturbances influence ant–plant interactions mediated by extrafloral nectaries in the Cerrado.
DOI: 10.48425/yfa7l8rq
title: Protocol_V_forest_pine_dendro_core_edge

description: A protocol for quantifying the abundance and growth of Scots pine seedlings in a neighborhood around mature seed trees using tree rings data.
DOI: 10.5281/zenodo.18376234
title: dataset_BOS market niches

description: This dataset includes the raw data supporting Deliverable 2.2 of the BEAGLE project.

This dataset provides an in-depth mapping of thematic niches and innovation performance across the BEAGLE project regions. It identifies high-potential biomass-based value chains and examines the S3 (Smart Specialisation Strategy) priorities that drive regional growth. The data offers a strategic overview of how regional strengths align with emerging technological opportunities to foster competitive innovation ecosystems.
DOI: 10.5281/zenodo.18376235
title: dataset_BOS market niches

description: This dataset includes the raw data supporting Deliverable 2.2 of the BEAGLE project.

This dataset provides an in-depth mapping of thematic niches and innovation performance across the BEAGLE project regions. It identifies high-potential biomass-based value chains and examines the S3 (Smart Specialisation Strategy) priorities that drive regional growth. The data offers a strategic overview of how regional strengths align with emerging technological opportunities to foster competitive innovation ecosystems.
DOI: 10.57967/hf/7647
title: toxicity_begets_toxicity_conversational_chains
DOI: 10.5281/zenodo.18374928
title: NOVAC_BRAND5_3.3F_2_23C_0k_EDLC_single

description: MetSuperCap Project Dataset 3.3F SC sample 2 NOVAC - EDLC Single - Brand5

Part of the Constant Temperature DataBase