cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/9cwvhj7xv8
title: Cooling Load in The Under-Actuated HVAC Zone

description: Cooling load in an HVAC system refers to the total heat energy that must be removed from an indoor space to maintain a desired temperature and thermal comfort level. This load is influenced by various internal and external factors, including occupant activity, electronic device usage, solar radiation, ventilation rates, and environmental conditions. It comprises both sensible heat, associated with temperature changes, and latent heat, related to moisture removal. Effective cooling load estimation is essential for optimizing HVAC system performance, ensuring energy efficiency, and enhancing occupant well-being.

An under-actuated zone within an HVAC system denotes a spatial domain where cooling mechanisms are not independently controlled or fully modulated in response to real-time thermal variations and occupancy patterns. These zones exhibit constrained adaptability due to shared ventilation networks, limited sensor deployment, or centralized control strategies, resulting in suboptimal climate regulation. Consequently, fluctuations in cooling demand driven by dynamic occupant behaviors and environmental perturbations may lead to thermal discomfort, inefficient energy utilization, and a mismatch between conditioned air supply and actual thermal requirements. Cooling load measurement in under-actuated zones presents a significant challenge due to the complex interplay between fluctuating occupant behaviors, environmental conditions, and the limitations of conventional HVAC control strategies. Accurate measurement requires continuous monitoring of thermal dynamics within spatially constrained zones where airflow distribution is not uniformly regulated. 

In this repository, cooling load measurement was conducted in an under-actuated zone within the Universitas Trilogi Library, where one of the rooms exhibits under-actuated characteristics and is further divided into three distinct zones. Data collection was systematically performed over a 14-week period from September to December 2023, during the active academic semester. This extensive measurement campaign aimed to capture the nuanced interactions between occupancy, electronic device usage, and environmental variations, providing valuable insights into the cooling demand of under-actuated zones and facilitating the development of an optimized predictive model for energy-efficient HVAC management. During this period, occupant behavior was systematically recorded at five-minute intervals across all three monitored areas to ensure a granular understanding of real-time fluctuations in activity patterns. This extensive measurement campaign aimed to capture the nuanced interactions between occupancy, electronic device usage, and environmental variations, providing valuable insights into the cooling demand of under-actuated zones and facilitating the development of an optimized predictive model for energy-efficient HVAC management.
DOI: 10.6084/m9.figshare.12443495.v15
title: The human O-GlcNAcome database

description: This database is a manually curated list of all the <i>O</i>-GlcNAcylated human proteins known to date. For each protein is reported the <i>O</i>-GlcNAc site(s), reference(s) and technique(s) used to determine O-GlcNAc status and sites.Each protein is scored for <i>O</i>-GlcNAcylation based on publications, techniques and identification of sites.The search flowchart is attached.<br><br>
DOI: 10.6084/m9.figshare.16843507.v1
title: GWAS

description: Litter size (total number born, TNB) trait has a great impact on the economic success of pork production. The TNB consist of the number of piglets born alive (NBA) and dead (NBD). To clarify the genetic background of litter size, genome-wide association studies (GWAS) were undertaken in the present study.
DOI: 10.6084/m9.figshare.7854731.v1
title: Attachment

description: Data describes attachment reconsolidation data
DOI: 10.17632/mh6p288jws
title: Data for: Impact of Changes in Crude Oil Trade Network Patterns on the National Economy

description: These data are all true and effective.
DOI: 10.6084/m9.figshare.25207022.v6
title: <b>LINEAR PROGRAMMED DIETARY PLAN DATASET </b><b>ON IMPROVING ENERGY INTAKE AMONG CHILDREN LIVING WITH HIV AGED 2-5 YEARS</b>a

description: Most children living with HIV have decreased energy intake due to loss of appetite, which results in weight loss. The diets of many children living with HIV do not meet the recommended levels of energy intake. This study dataset was collected to test the effectiveness of a linear programmed dietary plan in improving the energy intake of children living with HIV aged 2-5 years in the Simiyu region in Tanzania.The study dataset was from a cluster randomized control trial designed with both intervention and control arms and used a quantitative approach. Care and treatment center (CTCs) was the unit of randomization. The study involved 200 asymptomatic children living with HIV aged 2 – 5 years. The linear programmed dietary plans were developed with 1390 Kcals. The linear programmed dietary plan education was provided to the intervention group. Questionnaires were used to measure nutrition knowledge and attitude. Repeated measures of ANOVA were used to analyze the data.There was a significant increase in mean knowledge change (mean change) =2.48(95%CI=1.5-3.3), P=&lt;0.01) as a result of an intervention (F=5.1; P=0.025) with an effect size of (Cohen’s d=0.5{95%CI=0.21-0.78}.The mean change for attitude was 8.49{95%CI=7.02-9.96}, P=&lt;0.001 with significant strength of the intervention F=48.9; P=0.001) with effect size (Cohen’s d =1.2{95%CI=0.87-1.48}.The mean change for energy intake was 351.82(95%CI =303.20-400.44}, P=&lt;0.001) with significant strength of the intervention F=57.95; P=0.001) and effect size (Cohen’s d=1.5(1.29-1.73)The intervention effectively increased knowledge and changed attitudes, increasing energy intake among this population.
DOI: 10.15131/shef.data.6635561.v1
title: MicroCT, DVC and MicroFE datasets for the validation for finite element models of the Mouse Tibia

description: Link to the data used in:<br>Oliviero, S., Giorgi, M., Dall'Ara, E. (2018) <i><br></i><i>Validation of Finite Element models of the Mouse Tibia using Digital Volume Correlation</i>. Journal of Mechanical Behaviour of Biomedical Materials 2018. https://doi.org/10.1016/j.jmbbm.2018.06.022<br><br>The images and data are too large to be uploaded in ORDA, so please contact the corresponding author at: e.dallara@sheffield.ac.uk or the Project Management Office at: pmo@insigneo.org if you are interested in working on the files.<br>The files are stored in the University of Sheffield file-store at the link:https://web-unidrive.sheffield.ac.uk/shared/multisim2/WP7/Validation/Oliviero_JMBBM_2018/<br>
DOI: 10.17632/n767hz78r7
title: Excel VBA codes for "An Efficient Lattice Search Algorithm for the Early Exercise Boundary in American Options"

description: This file provides Excel VBA codes of accelerated CRR binomial models: 1. “CRR_Conventional” model represents a two-dimensional static CRR binomial tree and does not apply any lattice search or acceleration techniques. 2. “CRR_Dynamic” model employs a one-dimensional dynamic tree. 3. “CRR_Dyn_Boundary” model augments the dynamic binomial tree using the intelligent lattice search algorithm. 4. “CRR_Dyn_Bound_Truncation” model is the most accelerated binomial model which comprehensively applies efficient lattice search, dynamic memory and truncation techniques.
DOI: 10.6084/m9.figshare.21136699.v1
title: ALS Classification Dataset

description: Feature set used for supervised classification
DOI: 10.6084/m9.figshare.22240414.v1
title: Fagopyrum dibotrys

description: Genomic information of Fagopyrum dibotrys
DOI: 10.6084/m9.figshare.25122626.v1
title: Insecticide efficacy and emergence timing of the Douglas-fir twig weevil, <i>Cylindrocopturus furnissi</i> (Coleoptera: Curculionidae)

description: The Douglas-fir twig weevil (<i>Cylindrocopturus furnissi </i>Buchanan) has recently emerged as a significant pest of Christmas tree species grown in the Pacific Northwest United States. The larvae girdle and disfigure twigs, which adversely affects tree marketability. Trees produced for export are also routinely destroyed for phytosanitary reasons when <i>C. furnissi </i>is discovered at border crossings. Due to historically being a sporadic and benign pest on planted and natural Douglas-fir, there is a lack of chemical management recommendations. We assessed the knockdown effects of four insecticides commonly used on Christmas trees: one assay tested knockdown after direct contact for 24h and the other assay tested knockdown after being allowed to feed on treated twigs with 2d, 7d, and 14d residuals. Concurrently, we monitored temperature and adult <i>C. furnissi</i> emergence at a noble fir bough farm for two years to estimate the ideal degree-day window for applying insecticides. Bifenthrin and esfenvalerate knocked down all weevils on contact within just 4h, whereas chlorpyrifos and acephate failed to achieve 100% knockdown within 24h. Only acephate failed to knock down more weevils than the control (water) after feeding on treated twigs, regardless of the insecticide residue age. Degree day modelling revealed a variable emergence window between the two years but 50% of adult emergence occurred between approximately 1000-1100 degree days (January 1<sup>st</sup>, 50 °F, single sine). Future work should assess the resulting management recommendation: apply bifenthrin or esfenvalerate just after 1000 growing degree days, once the year prior and once the year of harvest.
DOI: 10.6084/m9.figshare.27797535.v1
title: Unprocessed, demultiplexed sequencing data for 12S-V5 generated on Illumina MiSeq as Supplementary Data for Plewnia et al. <b>Environmental DNA metabarcoding accelerates biodiversity assessments and species rediscoveries in a tropical Andes hotspot</b>.

description: The dataset contains unprocessed, demultiplexed MiSeq reads for <b>12S</b> derived from eDNA metabarcoding of water from streams in Andean Ecuador. The dataset contains two markers: A fragment of the 16S rRNA gene amplified with amphibian metabarcoding primers MiAmphiL and a fragment of the 12S rRNA gene amplified with vertebrate metabarcoding primers 12S-V5. The sequence reads are supplementary raw data for the manuscript <b>Environmental DNA metabarcoding accelerates biodiversity assessments and species rediscoveries in a tropical Andes hotspot</b>.
DOI: 10.17632/nf6xgfv5t8
title: Association between periungual changes and myositis-specific autoantibodies in patients with idiopathic inflammatory myopathies: A retrospective cohort study

description: Supplementary Fig 1. Clinical images of periungual changes in patients with IIM. (A) erythema of the proximal nailfold, (B) erythema of the lateral nailfold, (C) hemorrhagic crust or crust of the proximal nailfold, (D) hemorrhagic crust or crust of the lateral nailfold, (E) roughening and cracking of the proximal nailfold, (F) roughening and cracking of the lateral nailfold, (G) punctate hemorrhage of the cuticle, (H) capillary loops in the proximal nailfold, and (I) skin atrophy of the proximal or lateral nailfold.

Supplementary Fig 1. Clinical images of periungual changes in patients with IIM. (A) erythema of the proximal nailfold, (B) erythema of the lateral nailfold, (C) hemorrhagic crust or crust of the proximal nailfold, (D) hemorrhagic crust or crust of the lateral nailfold, (E) roughening and cracking of the proximal nailfold, (F) roughening and cracking of the lateral nailfold, (G) punctate hemorrhage of the cuticle, (H) capillary loops in the proximal nailfold, and (I) skin atrophy of the proximal or lateral nailfold.

Supplementary Table 1. Clinical characteristics of the study population
DOI: 10.17632/k6gg6nj337
title: Supplemental Video Material for Highlighter Staining: A Practical Approach to Ridge-Furrow Differentiation in Acral Melanocytic Lesions

description: This is the supplemental video showing the dermoscopic evaluation of acral melanocytic lesions using highlighter staining.
DOI: 10.17632/vnpczd3hjk
title: BioEmergences-wt1

description: BioEmergences-wt1: Zebrafish wild-type embryo during Gastrulation. Raw data 3D+time: nuclei + membrane channels (VTK). Digital cell lineage (computed with BioEmergences workflow https://www.nature.com/articles/ncomms9674).
DOI: 10.6084/m9.figshare.12657395.v1
title: Bacterial_16S_OTU_rep

description: Representative OTUs for the study of climate variability.
DOI: 10.6084/m9.figshare.25350055.v2
title: Data from: Animal-pollinated crops and cultivars – a quantitative assessment of Pollinator Dependence values and evaluation of methodological approaches

description: Crop pollinator dependence (PD) values are key when assessing a pollinator’s contribution to agriculture, guiding management plans and policies for sustainable crop production. However, the available global compilations of crops PD are outdated and neglect variability between related crops and accessions (variety/cultivar), as well as pollen limitation (PL), i.e. the production lost due to inadequate pollen receipt. Here, we obtained quantitative PD values for animal-pollinated crops and their accessions, using data from available pollination experiments worldwide. We also tested pollination methodologies to assess their impact on PD values and to define suitable methodological guidelines for future pollination studies. We provide a list of continuous PD values for 141 crops, including 317 accessions and 37 crops not listed in previous assessments. We found that, globally, 74% of animal-pollinated crops are highly dependent on pollinators, and more than 40% of their production is associated with animal pollination. Pollen limitation was detected in 51% of the dataset entries, indicating that estimates calculated with open pollination studies underestimate crop pollinator dependence and, therefore, do not represent the true contribution of pollinators to food production.<br>
DOI: 10.6084/m9.figshare.28297340.v1
title: Data from the study titled 'Microhabitat Segregation of Co-Existing Nightjar Species in The Gambia'

description: We studied the spatial distribution of two ecologically similar nightjar species, the Long-tailed Nightjar Caprimulgus climacurus and Standard-winged Nightjar Caprimulgus longipennis, in The Gambia. These data belong to the manuscript titled 'Microhabitat Segregation of Co-Existing Nightjar Species in The Gambia'.
DOI: 10.17632/gnk7mtwyxv
title: Данные для ВКР "Управление портфелем корпоративных облигаций российских эмитентов с учетом детерминант облигационного спреда"

description: Недельные панельные данные по 30 корпоративным российским облигациям в период с 2018 года по 2023 год. Включает в себя как параметры облигации, а также разные макроэкономические показатели.
DOI: 10.17632/r444kmwmsy
title: Dataset on Large Language Models and GenAI Adoption Among Nigerian Teachers

description: Our dataset provides empirical insights into the adoption of Large Language Models (LLMs) and Generative AI (GenAI) in education, specifically examining Nigerian in-service teachers’ behavioural intentions (BI) to integrate ChatGPT into their instructional practices. The study adopts a hybrid analytical approach, combining Partial Least Squares Structural Equation Modelling (PLS-SEM) and Artificial Neural Networks (ANN) to explore both linear and nonlinear relationships among key adoption predictors. Guided by the Technology Acceptance Model (TAM), our research hypothesises that Perceived Ease of Use (PEU) and Perceived Usefulness (PUC) positively influence teachers' behavioural intentions, while Technology Anxiety (TA) and Privacy Issues (PIU) negatively impact adoption. Additionally, we investigate the role of Attitude Toward ChatGPT (ATC), Teachers’ Trust in ChatGPT (TTC), and peer influence (YCC) in shaping adoption behaviour.

Our findings from PLS-SEM indicate that PUC emerged as the strongest predictor of behavioural intention, suggesting that teachers are more likely to adopt ChatGPT if they perceive it as beneficial to their teaching. Conversely, TA significantly negatively influenced BI, highlighting that anxiety related to AI technology acts as a major barrier to adoption. Additionally, peer influence (YCC) was found to positively impact BI, reinforcing the importance of social support in facilitating technology adoption among educators. Although PEU had a weaker negative effect on BI in the PLS-SEM model, ANN results revealed a more complex picture, ranking PEU as the most important predictor, followed by ATC and PUC. This suggests that while usability concerns may appear less significant in a linear framework, they become crucial when considering nonlinear interactions.

The dataset can be used for multiple research applications, including AI adoption studies, predictive modelling using ANN, and comparative analyses across different educational contexts. Researchers can utilise it to examine the direct and indirect relationships influencing AI adoption, while policymakers and education stakeholders can derive actionable insights to design AI training programmes that emphasise usability and trust while addressing technology-related anxieties. Furthermore, this dataset provides a foundation for future cross-cultural studies on AI integration in resource-constrained educational environments, offering a benchmark for understanding teacher adoption behaviour and the broader implications of AI in education.
DOI: 10.17632/3pg9xmypp3
title: DeepFlame 2.0: A new version for fully GPU-native machine learning accelerated reacting flow simulations under low-Mach conditions

description: This paper presents DeepFlame v2.0, a significant computational framework upgrade designed for high-performance combustion simulations on GPU-based heterogeneous architectures. The updated version implements a comprehensive CUDA-accelerated architecture incorporating fundamental combustion modelling components, including: implicit/explicit finite volume method (FVM) discretisation schemes, chemical kinetics integrators, thermophysical property models, and subgrid-scale closures for both fluid dynamics and combustion processes. The redesigned code supports diverse boundary conditions and discretisation schemes for broad applicability across combustion configurations. Key performance optimisations integrate advanced CUDA features including data coalescing techniques, CUDA Graphs for kernel scheduling, and NCCL-based multi-GPU communication. Validation studies employing the fully-implicit low-Mach solver demonstrate two-order-of-magnitude acceleration compared to conventional CPU implementations across canonical test cases, while maintaining numerical accuracy.
DOI: 10.6084/m9.figshare.21864486.v2
title: global glacial lake dataset

description:  Based on a semi-automated approach, this study inventories 117,352 glacial lakes (≥0.01 km2) worldwide, with a net area of 24,755.84 ± 2,971.33 km2. This dataset is expected to advance the monitoring of glacial lake expansions and the assessment of glacial hazard risk.
DOI: 10.6084/m9.figshare.28828385.v1
title: Observaciones JWST de K2-18 b: Evidencia e Incertidumbres de las Biofirmas Sulfuradas DMS/DMDS en un Mundo Hycean Potencial

description: Este estudio revisa críticamente las <b>observaciones del JWST</b> sobre el exoplaneta <b>K2-18 b</b>, combinando espectros NIRISS/NIRSpec y MIRI/LRS para buscar <b>biofirmas sulfuradas</b> (DMS/DMDS). Se aplica un <b>análisis bayesiano</b> que revela detecciones tentativas (~3,2 σ) difíciles de explicar por mecanismos abióticos conocidos. Se discuten las <b>limitaciones metodológicas</b> (retrievals independientes, secciones eficaces moleculares) y se proponen <b>estrategias futuras</b> de observación y laboratorio para confirmar estas señales como indicios de vida potencial
DOI: 10.17632/5ybkzhyp8y
title: O-GlcNAcylation: A Morphologic Regulator of Osteoblast Differentiation

description: To explore the potential mechanisms which O-linked-Nacetylglucosaminylation (O-GlcNAcylation) regulates osteogenesis, a publicly RNA-seq dataset was re-analyzed with literature-mining and showed the primary targets of O-GlcNAcylation in osteoblasts are mitochondria/cytoskeleton. Although the O-GlcNAcylation-regulated mitochondria/cytoskeleton has been extensively studied, its specific role during osteogenesis remains unclear. To address this, we knocked out Ogt (Ogt-KO) in MC3T3-E1 osteoblastic cells. Then, significantly reduced osteoblast differentiation, motility, proliferation, mitochondria-endoplasmic reticulum (Mito-ER) coupling, volume of ER, nuclear tubulins, and oxygen metabolism were observed in Ogt-KO cells. Through artificial intelligence (AI)-predicted cellular structures, the time-lapse live cells imaging with reactive-oxygen-species/hypoxia staining showed that lower cell proliferation and altered oxygen metabolism in the Ogt-KO cells were correlated with the Mito-ER coupling. Bioinformatics analysis, combined with correlated mRNA and protein expression, suggested that Ezh2 and its downstream targets (Opa1, Gsk3a, Wnt3a, Hif1a, and Hspa9) may be involved in O-GlcNAcylation-regulated Mito-ER coupling, ultimately impacting osteoblast differentiation. In conclusion, our findings indicate that O-GlcNAcylation-regulated osteoblast differentiation is linked to morphological changes in mitochondria, cytoskeleton, and ER, with Ezh2 potentially playing a crucial role.
DOI: 10.17632/gdr934s88c
title: Dataset related to the article "A Mars regolith simulant prototype (P_TO_MARS-1) exploiting the Piedmont (NW Italy) geology"

description: This dataset consists of three files:
- Excel File "Dimensional Distribution P_TO_MARS-1": includes the distribution analysis of the regolith simulant sample, providing a list of data related to the dimensional distribution, summary statistics and fractal model for both the magnification used in the study (200x and 2000x).

- Excel File "Tables refined cells VS reference cells": includes the refined cells from the PXRD analysis, compared with the reference cells.

- Word File "SEM-EDXS analysis P_TO_MARS-1": includes the SEM-EDXS chemical spectra of the mineral species previously detected in the PXRD analysis of the regolith simulant sample, along with two sample images on which the P_TO_MARS-1 simulant particles were measured.
DOI: 10.6084/m9.figshare.22822457.v1
title: just dance shorthed embeddings (open ai)

description: <em>Dataset containing comments and metadata information for multilabel predictions for different properties of comments.</em><br> <br> <em>The data has 216193 comments make on the just dance YouTube videos. It has metadata information about the date the</em><br> <em>comment was written and the number of "likes" it got. It also has</em><br> <em>42 multilabel binary target label columns,</em><br> <em>referring to the category classification of the comment.</em><br> <br> <em>This dataset is a modification of Just Dance @ YouTube dataset curated by the COIMBRA university,</em><br> <em>For additional details about the dataset, please refer to the original source:</em><br> <em>https://www.kaggle.com/datasets/renatojmsantos/just-dance-on-youtube.</em><br> <em>Dataset used under the following license: https://creativecommons.org/licenses/by/4.0/</em><br> <br> <em>Original publication:</em><br> <em>R. Santos, J. P. Arrais and P. A. Silva, "Analysing Games for Health through Users' Opinion Mining,"</em><br> <em>2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS), Aveiro, Portugal, 2021, pp. 319-323,</em><br> <em>doi: 10.1109/CBMS52027.2021.00035.</em>