cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28836632.v2
title: Supplementary files

description: Table 1 Raw VOC data of C. revolutaTable 2 VOC profile of P. odorifer
DOI: 10.6084/m9.figshare.28874279.v1
title: Quantum Simulation of Imaginary Time Dynamics Based on Hawking's Model

description: This OpenQASM 2.0 simulation models the fluctuation-driven dynamics of imaginary time as proposed by Stephen Hawking. The circuit initializes four quantum registers representing phase components under imaginary time conditions. A full Hadamard superposition models the absence of directional time, simulating pure quantum fluctuations. Slight phase perturbations are introduced to represent vacuum energy distortions that occur in the absence of classical time flow. The final measurements capture the distribution of phase-based fluctuations, offering a quantum-level view of imaginary time behavior. This model provides a foundational framework to study the cyclical, non-linear nature of time in quantum cosmology and vacuum physics.
DOI: 10.6084/m9.figshare.3569025.v1
title: Appendix A. Details of all 311 experiments in the review.

description: Details of all 311 experiments in the review.
DOI: 10.6084/m9.figshare.7460696.v3
title: Experimental data.xlsx

description: This dataset was used to support the findings presented in a paper.
DOI: 10.6084/m9.figshare.26550241.v3
title: Chinese Hydropower Plant Basic Parameter Database

description: A geospatial and characteristic parameters database for 312 Chinese hydropower plants, accounting for about 65% of the installed hydropower capacity of large and medium-sized hydropower plants in China. The database collected about 53 attributes per hydropower plant, including multi-year average discharge at the dam location, dam height, reservoir characteristic level and storage, turbine hydraulic head, and installed hydropower capacity.
DOI: 10.6084/m9.figshare.27824754.v1
title: <b>Advancing Generative Intelligent Tutoring Systems with GPT-4: Design, Evaluation, and a Modular Framework for Future Learning Platforms</b>

description: Generative Intelligent Tutoring Systems (ITS), powered by advanced language models like GPT-4, represent a transformative approach to personalized education by enabling real-time adaptability, dynamic content generation, and interactive learning. This study introduces a modular framework for designing and evaluating such systems, leveraging GPT-4's generative capabilities to facilitate Socratic-style interactions, personalized feedback, and adaptive learning support. A practical implementation, the Socratic Playground for Learning (SPL), was developed and evaluated in a pilot study with 30 undergraduate students, focusing on foundational English skills. The results demonstrated significant improvements in vocabulary, grammar, and sentence construction, along with high levels of engagement, adaptivity, and satisfaction. To ensure scalability and replicability, the framework employs lightweight JSON structures suitable for diverse educational settings. While the system shows promise, challenges such as computational costs and content validation highlight areas for further refinement. This research provides a foundation for the design and assessment of generative ITS, offering valuable insights into advancing personalized learning and exploring broader applications of generative AI in education.
DOI: 10.6084/m9.figshare.28854713.v1
title: GEO dataset.zip

description: We also generated our own dataset based on 72 newly diagnosed MM samples from Chaoyang hospital in Beijing. All participants signed the informed consent form, and the study was approved by the institutional ethical review board of the Chao-Yang Hospital, Capital Medical University (Beijing, China). Patients were treated between August 2015 and September 2019, the longest follow-up period was 67 months. Bone marrow CD138+ cells were purified for the preparation of total mRNA for the transcriptome profiling using Affymetrix PrimeView array according to standard protocols.
DOI: 10.6084/m9.figshare.29085149.v1
title: <b>Table 4.</b> Research Themes for Teaching Marketing Post-COVID-19? (n = 22)

description: The purpose of this study was to understand the employers' perspectives regarding the required competencies of marketing graduates post-COVID-19 era and how Universities can improve the teaching of Marketing post-COVID-19.
DOI: 10.6084/m9.figshare.3560493.v1
title: Appendix I. The species-abundance distribution (SAD) of a subalpine plant community.

description: The species-abundance distribution (SAD) of a subalpine plant community.
DOI: 10.6084/m9.figshare.7355141.v2
title: CLOI

description: This dataset is the first labelled point cloud dataset of the most important industrial shapes encountered in industrial plants.
DOI: 10.17632/4brcwhmvyk
title: Metadata for Automated plant species identification from the stomata images using deep neural network

description: Our study has been conducted at the Sundarbans Mangrove Forest and Ratargul Fresh Water Swamp Forest. Both study sites have distinct ecological characteristics. While the Shundarbans Mangrove has a complex network of tidal waterways and is regularly inundated by saline water, the Ratargul is linked with the Gowain River and faces seasonal flooding with the fresh water from the Gowain River during the rainy season, which is generally from May to early October. There is a stomata dataset of 11 species collected from these two study sites: 9 species collected from the Sundarban mangrove forest  and 2 species collected from the Ratargul Swamp Forest in Bangladesh. These are the species worth mentioning in the two forests. Hence, we used this dataset for automated species identification.

Sundarban mangrove species-
1. Aglaia Cucullata 
2. Bruguiera gymnorrhiza 
3. Bruguiera sexangula 
4. Cerbera manghas 
5. Ceriops decandra 
6. Excoecaria agallocha 
7. Heritiera fomes 
8. Sonneratia apetala
9. Xylocarpus moluccensis 

Ratargul swampforest species-

10. Barringtoni aacutangula
11. Pongamia pinnata
For more please read metadata file "Stomata ISO19139 Metadata.xml"
DOI: 10.17632/rps2sxby33
title: Replication Data for : Do Educated Leaders Perform Better? Evidence on Parliamentary Effort and Constituency Outcomes in India

description: This folder includes the data, code, and replication instructions for the article "Do Educated Leaders Perform Better? Evidence on Parliamentary Effort and Constituency Outcomes in India" submitted to 'Economic Modelling'. The Data Notes file provides full instructions for reproducing all tables and figures.
DOI: 10.6084/m9.figshare.28853633.v1
title: topic_word

description: The selected subset of topic words.
DOI: 10.6084/m9.figshare.6980180.v1
title: Transcriptomes of cochlear hair cells

description: RNA-seq-based transcriptomes of cochlear inner and outer hair cells from adult mouse cochleae. Hair cell-specific transcriptomes obtained from microarray technique and neonatal hair cells are also included for comparison.
DOI: 10.6084/m9.figshare.7315238.v1
title: Supplementary Material for: Hospital Volume and Mortality following Diagnostic Bronchoscopy in Lung Cancer Patients: Data from a National Inpatient Database in Japan

description: <b><i>Background:</i></b> Recent advances in bronchoscopy utilizing endobronchial ultrasound (EBUS) as well as lung cancer therapy may have driven physicians to perform diagnostic bronchoscopy (DB) for high-risk patients. <b><i>Objectives:</i></b> The aim of this study was to clarify the relationship between hospital volume (HV) and outcomes of DB. <b><i>Methods:</i></b> We collected data on inpatients with lung cancer who underwent DB from July 2010 to March 31, 2014. The annual HV of DB was classified as “very low” (≤50 cases/year), “low” (51–100 cases/year), “high” (101–300 cases/year), or “very high” (&gt; 300 cases/year). The primary outcome was all-cause 7-day mortality after DB. Multivariable logistic regression fitted with a generalized estimation equation was performed to evaluate the association between HV and all-cause 7-day mortality after DB, adjusted for patient background factors. <b><i>Results:</i></b> We identified a total of 77,755 eligible patients in 954 hospitals. All-cause 7-day mortality was 0.5%. Compared with the low-volume group, 7-day mortality was significantly lower in the high-volume group (odds ratio [OR] = 0.69, 95% confidence interval [CI]: 0.52–0.92, <i>p</i> = 0.010), and a similar trend was shown in the very-high-volume group (OR = 0.67; 95% CI: 0.43–1.05, <i>p</i> = 0.080). Radial EBUS with the guide sheath method and EBUS-guided transbronchial needle aspiration showed a significantly lower 7-day mortality. <b><i>Conclusions:</i></b> All-cause 7-day mortality was inversely associated with HV. The risk of DB in patients with lung cancer should be recognized, and the exploitation of EBUS may help reduce mortality after DB.
DOI: 10.17605/osf.io/8mcsx
title: Proteomic characterization of corneal epithelial and stromal cells derived extracellular vesicles

description: In this study, we isolated extracellular vesicles (EVs) from cell conditioned media (CM) derived from human corneal epithelial cells (HCE), keratocytes (HCK), fibroblasts (HCF), and myofibroblasts (HCM). EVs were characterized by for proteins based by proteomics. The data here shows the enriched proteins for each specific corneal cell type derived EVs.
DOI: 10.17632/kwhbjhtsxm
title: The Influence of Biometric Authentication on Electronic Wallet Security Towards Perceptions of Gen Z Usage Behavior

description: This study explores the impact of technological developments on Generation Z, especially the security of transactions using electronic payment methods. By focusing on understanding attitudes, behavior, and challenges related to technology, this research aims to identify the factors that influence Generation Z's behavior toward the security of electronic payment transactions. The data collection process was carried out from April 19, 2024, to April 26, 2024, in this research by asking questions via Google Forms. This method was chosen to explore various factors that influence the use of e wallets in Generation Z. A total of 194 responses were collected from 200 participants who have used or are currently using e wallets. Of these respondents, 121 women (62.4%) reported using e-wallets, while 73 men (37.6%) reported using e-wallets. The methodology used in this research uses Partial Least Squares Structural Equation Modeling (PLS-SEM) and SMART-PLS 3 software. The results validate 22 of the 28 indicators considered. This validation is proven through observations of external loads which are in the range of 0.7 to above 0.9. However, it should be noted that indicators such as ATU3, ATU5, PEU2, PEU5, SE5, and UB4 show external loading outside the range mentioned above, thus making them invalid. This study emphasizes the statistical significance of these factors, providing insight into their role in shaping Generation Z's attitudes toward electronic payment adoption.
DOI: 10.17632/szh7w479gt
title: TMC dataset

description: To examine the neuronal protein profiles of C. elegans at different ages, we took advantage of the recently developed TurboID proximity labeling system. TurboID is an engineered biotin ligase that can label proximal proteins with biotin on nucleophilic residues such as lysine. In previous studies, proximity labeling is commonly used to identify protein-protein interactions by attaching TurboID to a protein of interest. To examine the proteomic profile of neurons in vivo, we generated a transgene that expresses free TurboID in the C. elegans nervous system. Presumably, free TurboID can evenly distribute in neurons and randomly label all proteins with biotin. Neuronal proteins can then be enriched with streptavidin beads. To test this hypothesis, we first examined the distribution of free TurboID in neurons and confirmed that TurboID was evenly distributed in all regions including the soma, axons and dendrites. We decided to collect animals during days 1, 3, 6, 9 and 12 of adulthood. After streptavidin bead enrichment, we found that the labeling efficiency was similar at different ages, and all samples were then subjected to quantitative proteomics
DOI: 10.6084/m9.figshare.5226046.v1
title: Epistasis Alzheimer’s Disease Neuroimaging Initiative (ADNI_VER)

description: This is a data set of epistatic effects of pairs of SNPs on change in ventricle volume, detected in ADNI consortium patients. It is computed based on genotyping and longitudinal brain imaging data that were downloaded from the ADNI database provided by the ADNI consortium. Detailed information about ADNI can be found at www.adni-info.org.
DOI: 10.6084/m9.figshare.8273006.v1
title: Dataset-2019.xlsx

description: A dataset that is useful for training in applied biostatistics, in the context of biomedical research
DOI: 10.17632/4tpkb43wzy
title: Prevalence and factors associated with teenage pregnancy in Mbale Regional Referral Hospital: a cross sectional study.

description: What is the prevalence and factors associated with teenage pregnancy in Mbale regional referral and teaching hospital?
DOI: 10.6084/m9.figshare.16913530.v1
title: The Fitness Browser: Genome-wide mutant fitness data for diverse bacteria (November 2021 release)

description: As of November 2021, the Fitness Browser contains 6,726 genome-wide fitness assays from 46 bacteria. This download includes the data and code needed to run the fitness browser web site, including all of the per-gene and per-strain fitness values. See the README.txt file for more information about how to use these files, or visit the interactive Fitness Browser (http://fit.genomics.lbl.gov/).<br><br>
DOI: 10.6084/m9.figshare.18855086.v1
title: File S2: from Temporal exponential random graph models of longitudinal brain networks after stroke

description: Multidomain behavioral recovery of stroke patients and helathy controls
DOI: 10.6084/m9.figshare.27236514.v1
title: TIC y competencias matemáticas en educación secundaria

description: En el contexto de una educación cada vez más influenciada por la digitalización, es fundamental evaluar cómo los recursos tecnológicos transforman la enseñanza y el aprendizaje de las matemáticas. Este estudio, basado en el protocolo PRISMA 2020, lleva a cabo una revisión sistemática sobre el papel de las TIC en el fortalecimiento de las competencias matemáticas en estudiantes de secundaria. Analizando publicaciones entre 2019 y mayo de 2024, extraídas de bases de datos internacionales como Scopus, WoS y ERIC, se identificaron beneficios significativos en el uso de estas tecnologías. Las TIC facilitan el desarrollo de competencias matemáticas, mejoran la comprensión conceptual, elevan el rendimiento académico y fomentan dinámicas de aprendizaje interactivas y colaborativas. También ofrecen herramientas para personalizar el aprendizaje y realizar evaluaciones formativas continuas, adaptándose a las necesidades individuales de los estudiantes y permitiendo un monitoreo más detallado de su progreso. Además, promueven un entorno educativo que incrementa la motivación y el compromiso de los estudiantes, haciendo el aprendizaje más atractivo y efectivo. Este trabajo ofrece una visión integral de las estrategias digitales más eficaces, aportando información clave para diseñar futuras intervenciones pedagógicas y políticas educativas orientadas a optimizar el uso de las TIC en la enseñanza de matemáticas.
DOI: 10.6084/m9.figshare.29093072.v1
title: 补充信息

description: 所有数据集、附表（包括本研究涉及的分类模型的运动学参数、多维特征提取、稳定性分析、混淆矩阵）和深度学习代码。<br>
DOI: 10.5522/04/25472560.v1
title: Smart Energy Research Lab: Aggregated statistics of energy use in GB domestic buildings 2022 and 2023. Statistical Dataset: Volume 2

description: This is a set of aggregated data tables that underlie the key figures in the SERL statistical report "Smart Energy Research Lab: Energy use in GB domestic buildings 2022 and 2023". The report – Volume 2 of the SERL Statistical Reports Series – describes domestic gas and electricity energy use in Great Britain in 2022 and 2023 based on data from the Smart Energy Research Lab (SERL) Observatory, which consists of smart meter and contextual data from approximately 13,000 homes that are broadly representative of the GB domestic building stock along a range of geographic, building and socio-demographic characteristics. The report provides an update to the statistics provided in Volume 1 of the SERL Statistical Report Series (Few et al., 2022), which covered 2021 data, and analyses residential energy use in GB in 2022 and 2023 (over the whole year, in each month and half-hourly over the course of the day). Statistics are presented for groups of homes with specific occupant characteristics (number of occupants, tenure), property characteristics (age, size, form, and Energy Performance Certificate (EPC)), heating systems, photovoltaics and electric vehicles, and by weather, region and IMD quintile. Unless otherwise noted, the findings in the report relate to homes in the SERL Observatory that use gas as their main heating source and do not have photovoltaic (PV) electricity generation.The report also shows how metered residential energy use in GB varies over time from 2021 to 2023.
DOI: 10.6084/m9.figshare.11986986.v8
title: Supplementary Material-Construction of Fused Image With Improved Depth-of-field Based on Guided Co-occurrence Filtering.

description: The multi-focus image fusion results of 12 "Lytro" and "Grayscale" data sets. Multi-focus images of 8 microscopic data sets "Aulacodiscus crux", "Aulacodiscus macreanus", "Auladiscus samoensis", "Auliscus peruvianus", "Biddulphia edwardii", "Coscinodiscus concavus", "Pinnularia", "Hyalodiscus scoticus" are fused to improve depth-of-field (DOF). <br><br><b>Acknowledgements</b><br><b><br></b>This work was supported in part by the Spanish Government under the Aqualitas-retos project Ref.CTM2014-51907-C2-2-R-MINECO). The funding agency had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
DOI: 10.6084/m9.figshare.16586411.v1
title: Supplementary.docx

description: Mean values and SD of creatine kinase, C-reactive protein and interleukin 6 after three resistance exercises.
DOI: 10.6084/m9.figshare.21222548.v1
title: Original Images

description: This dataset includes the original GRIP dataset that consists of 80 copy-move forged images with 768 X 1024 pixels and unrecognizable forgery by human eyes. It also includes images that are post-processed by different operations, including JPEG compression, noise additive, blurring, color quantization, contrast adjustment, and brightness adjustment. <br>
DOI: 10.6084/m9.figshare.25139249.v2
title: Metagenome assembled genomes (MAGs) from the study: <b>Salinization_alters_microbial_methane_cycling_in_freshwater_sediments</b>

description: This dataset comprises Metagenome Assembled Genomes (MAGs) obtained from a research study investigating structural changes in microbial communities associated with the methane cycle in a coastal freshwater lake system undergoing salinization. The study involved collecting surface sediments and two sediment cores—one from the freshwater zone and another from the salinization zone. Various techniques, including physicochemical measurements, qPCR, 16S rRNA gene amplicon sequencing, and metagenome analysis, were employed to explore changes in microbes involved in the methane cycle. The uploaded MAGs are accompanied by an Excel sheet (Supplementary_table_4) containing metadata such as affiliated taxonomy, completeness, contamination, and abundance. The detailed protocol for metagenome assembly, binning, filtration, and curation can be found in the corresponding article.
DOI: 10.6084/m9.figshare.9989558.v5
title: Supplementary Table S1

description: Supplementary material for the article: Transcriptomic profiling identifies novel transcripts, isomorphs and lncRNAs in Paracoccidioides brasiliensis
DOI: 10.17632/27jrjsp527
title: High throughput PRIME editing screens identify functional DNA variants in the human genome

description: Immunofluorescent staining showing the localization of nCas9/RT (Red, FLAG tagged) in the nucleus (Blue, DAPI) in MCF7-nCas9/RT cells.
DOI: 10.17632/ffw9m5p5bp
title: Dataset of knowledge, attitudes and practices towards COVID-19

description: Dataset of knowledge, attitudes and practices towards COVID-19 among Malaysian
DOI: 10.6084/m9.figshare.1080723.v2
title: Plant remains data from Derrybane 2 Tipperary Ireland

description: Open dataset with results of plant remains identification from samples taken during the excavation of a Bronze Age site in Tipperary, Ireland. Cremation pits and structures were found during the excavation.
DOI: 10.6084/m9.figshare.13234544.v1
title: Dataset

description: This is dataset for paper Does physical activity lower the risk for metabolic syndrome: a longitudinal study of physically active elderly women. <br>
DOI: 10.6084/m9.figshare.13247687.v1
title: Campbell Hall UCSB

description: COVID-19 seating that accounts for physical distancing:* Campbell_hall_seats (shapefile layer with all seats)* ch_seats_noview833 (shapefile layer removing seats with blocked view of instructor)* aclp.mos (Xpress solver code to structure ACLP)
DOI: 10.6084/m9.figshare.20029400.v1
title: Raw Data, Raman spectroscopy

description: Raman Spectroscopy, single spectra, Raman images of RBCs containing sulfHb species, Hb-S and SHb.
DOI: 10.6084/m9.figshare.23504307.v1
title: S0_field_data.xlsx

description: This dataset contains all the S0 (bedding) measurements taken during the field campaing in Northern Peloponnese, and Corinth Rift southern margin. Measurements from PQ, GT, Pindos and syn-rift units.
DOI: 10.6084/m9.figshare.25151639.v1
title: Data and code files for paper "Ageing Gut-Brain Interactions: Proinflammatory gut bacteria are elevated in fecal samples from individuals living with Alzheimer’s dementia"

description: Alzheimer’s disease (AD) is the most common form of global dementia, characterized by an irreversible decline in cognitive function. The pathogenesis of several neurodegenerative disorders has been linked to dysbiosis of the gut microbiota through the gut-brain axis. We set out to establish by case-control study methodology whether there were any differences in the composition and/or function of the gut microbiota between older adults resident in care homes with or without an AD diagnosis.Based on the results of 16S rRNA gene profiling we established that AD sufferers had increased levels of <i>Escherichia/Shigella</i> and <i>Clostridium_sensu_stricto_1</i>, and decreased levels of <i>Bacteroides, Faecalibacterium, Blautia</i> and <i>Roseburia</i> species. The increased levels of potentially pro-inflammatory bacteria were consistent with slightly higher concentrations of calprotectin, a biomarker of gut inflammation. Levels of most microbial metabolites measured were similar across groups, although participants with AD had significantly increased proportions of the branched chain fatty acid, iso-butyrate and a decreased proportion of the specific short-chain fatty acid butyrate. Taken together these results show that participants with Alzheimer’s disease have several key differences within their gut microbiota profile, in contrast to care-home residents with no Alzheimer’s disease. The dysbiotic microbiome included both compositional and functional changes linked to poorer health and gut inflammation.