cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13234217.v1
title: Supplementary Material for: PREvention of VENous Thromboembolism in Hemorrhagic Stroke Patients – PREVENTIHS Study: A Randomized Controlled Trial and a Systematic Review and Meta-Analysis

description: <b><i>Background:</i></b> In this randomized trial, currently utilized standard treatments were compared with enoxaparin for the prevention of venous thromboembolism (VTE) in patients with intracerebral hemorrhage (ICH). <b><i>Methods:</i></b> Enoxaparin (0.4 mg daily for 10 days) was started after 72 h from the onset of ICH. The primary outcome was symptomatic or asymptomatic deep venous thrombosis as assessed by ultrasound at the end of study treatment. The safety of enoxaparin was also assessed. We included the results of this study in a meta-analysis of all relevant studies comparing anticoagulants with standard treatments or placebo. <b><i>Results:</i></b> PREVENTIHS was prematurely stopped after the randomization of 73 patients, due to the low recruitment rate. The prevalence of any VTE at 10 days was 15.8% in the enoxaparin group and 20.0% in the control group (RR 0.79 [95% CI 0.29–2.12]); 2.6% of enoxaparin and 8.6% of standard therapy patients had severe bleedings (RR 0.31 [95% CI 0.03–2.82]). When these results were meta-analyzed with the results of the selected studies (4,609 patients; 194 from randomized trials), anticoagulants were associated with a nonsignificant reduction in any VTE (OR 0.81; 95% CI 0.43–1.51), in pulmonary embolism (OR 0.53; 95% CI, 0.17–1.60), and in mortality (OR 0.85; 95% CI 0.64–1.12) without increase in hematoma enlargement (OR 0.97; 95% CI, 0.31–3.04). <b><i>Conclusions:</i></b> In patients with acute ICH, the use of anticoagulants to prevent VTE was safe but the overall level of evidence was low due to the low number of patients included in randomized clinical trials.
DOI: 10.6084/m9.figshare.21707471.v1
title: Source Data files.rar

description: Source Data files of the manuscript entitled <strong>“Active hydrogen boosts electrochemical nitrate reduction to ammonia” (Manuscript No. NCOMMS-22-27156A)</strong>
DOI: 10.17632/c58c2f5b4t
title: Supplementary Table 1.  The information of library (genes and sgRNAs) generated in this study

description: This is the Supplementary Table 1 for the protocol of "Fast and Efficient Generation of Dual-gRNA Library Facilitates Combinatorial CRISPR Screen for Discovering Synthetic Lethal Gene Pairs" published at STAR Protocols.
DOI: 10.6084/m9.figshare.21655349.v1
title: Willingness to pay for hand foot mouth disease vaccination in Malaysia

description: This study investigated and ascertained the determinants of willingness-to-pay (WTP) for HFMD vaccination in Selangor Malaysia. This study adopted a cross-sectional, contingent valuation method
DOI: 10.6084/m9.figshare.23546067.v1
title: Genome-reduced bacteria exhibit pervasive episodes of adaptive stasis

description: Burkholderiaceae_sp4_models.zip : Compressed file containing the protein models used for the proteome functional redundancy analysis in a .pdb format for Burkholderiaceae species 4 as well as model ranking plot with pIDDT values used to evaluate the strength of the model. <br> Illumatobacteraceae_sp4_models.zip: Compressed file containing the protein models used for the proteome functional redundancy analysis in a .pdb format for Illumnatobacteraceae species 4 as well as model ranking plot with pIDDT values used to evaluate the strength of the model. <br> Phobius_domain_retriever_20220622.R: Rscript used to retrive the domains from the identified secretomes and cytoplasmatic proteomes.
DOI: 10.6084/m9.figshare.5459176.v1
title: Zika-predictive-model-data.zip

description: Raw datasets used in the analysis of "Predicting primate sources of long-term Zika virus spillover infection". Han et al, 2017+.
DOI: 10.6084/m9.figshare.14377259.v1
title: Raman_bacteria_data.csv

description: Single-cell Raman spectra of 9 ATCC bacteria strains with clinical relevance.
DOI: 10.6084/m9.figshare.25556901.v3
title: Global Coastal Reclamation

description: We present a global map of the spatial distribution, temporal trend, and land use types of coastal reclamation between 1985 and 2020 by combining satellite imagery, big data and deep learning model based on numerous remote sensing imageries at 30 m resolution and then estimate the impact of this activity on biodiversity and carbon stocks.
DOI: 10.6084/m9.figshare.9685478.v1
title: Real-time Recognition of Facial Expressions using Facial Electromyograms Recorded around the Eyes for Social Virtual Reality Applications

description: Recent developments of social virtual reality (VR) services using avatars have increased the need for facial expression recognition (FER) technology. FER systems are generally implemented using optical cameras; however, the performance of these systems can be limited when users are wearing head-mounted displays (HMDs) as users’ faces are largely covered by the HMDs. Facial electromyograms (fEMGs) that can be recorded around users’ eyes can be potentially used for implementing FER systems for VR applications. However, this technology lacks practicality owing to the need for large-scale training datasets; furthermore, it is hampered by a relatively low performance. In this study, we proposed an fEMG-based FER system based on the Riemannian manifold-based approach to reduce the number of training datasets needed and enhance FER performance. Our experiments with 42 participants showed an average classification accuracy as high as 85.01% for recognizing 11 facial expressions with only a single training dataset for each expression. We further developed an online FER system that could animate a virtual avatar’s expression reflecting a user’s facial expression in real time, thus demonstrating that our FER system can be potentially used for practical interactive VR applications, such as social VR networks, smart education, and virtual training
DOI: 10.1184/r1/26265200.v1
title: In-situ XRD annealing 2theta-omega scans

description: The dataset will serve as supplemental material for a peer-reviewed journal article (Applied Physics Letters) currently under review. The funding agency (NSF) has requested that the data be made available through an open source platform.
The raw data include all in-situ XRD scans perfomred on α-Ga<sub>2</sub>O<sub>3</sub>, κ(ε)-Ga<sub>2</sub>O<sub>3</sub> and γ-Ga<sub>2</sub>O<sub>3 </sub>thin films under three different environments (air, N<sub>2</sub> and vacuum) in the temperature range from 25 ℃ to 900 ℃.
DOI: 10.17632/7fh2957bkz
title: Evaluating the Adequacy of Public Open Space for the Residents of Subdivisions in Cabanatuan City Central Business District

description: Public Open Spaces (POS) and Urban Green Spaces (UGS) are vital elements of the urban milieu, providing recreational opportunities and enhancing residents’ quality of life. However, in some localities in the Philippines such as the City of Cabanatuan particularly in its inner-city was considered as the urban congested core that caused the city to lack POS and UGS. A mixed methods approach was considered for data collection, including the study of the utilization pattern of residents, and measuring the actual space allocated for POS of each subdivision. According to the results, Cabanatuan City has only 3.6 square meters of POS per person, indicating a shortfall comparable to Manila’s score in GCI. With a growing population and demand for open space, Cabanatuan City would need to provide at least 114.7 hectares of land designated for POS to achieve a good and healthy environment for its residents.
DOI: 10.25405/data.ncl.9693533.v1
title: A comparative assessment of conventional and molecular methods, including MinION nanopore sequencing, for surveying water quality

description: The deposit contains chemical and microbial water quality data for samples collected in the Kathmandu Valley, Nepal.
DOI: 10.6084/m9.figshare.23508858.v1
title: Morphological disparity raw data

description: This folder contains the dataset and outputs from the morphological disparity analses
DOI: 10.6084/m9.figshare.27309003.v1
title: The Raman spectra of α- and β-Si3N4 and Si2N2O determined experimentallyand by density functional theory - Raman spectra

description: Dataset of Raman spectra of Silicon Nitride and Silicon Oxynitride as supporting information to the publication "The Raman spectra of α- and β-Si3N4 and Si2N2O determined experimentally and by density functional theory", DOI: 10.1002/jrs.6749
DOI: 10.6084/m9.figshare.28517447.v1
title: Code and Data of paper "Enhancing drive-by sensing power in urban hotspots through multi-objective vehicle selection optimization"

description: This is the supporting codes and data for paper "Advancing drive-by sensing power in urban hotspots through multi-objective vehicle selection optimization" in International Journal of Geographical Information Science. Please first read readme.md in the .zip file for help about the data description and tutorial of using the codes and data.
DOI: 10.6084/m9.figshare.28706396.v1
title: Genome of Scatophagidae fish

description: Genome assembly and annotation of Scatophagus argus, Scatophagus tetracanthus and Selenotoca multifasciata
DOI: 10.6084/m9.figshare.29052632.v1
title: Integrated_Pheno_Geno_Env_Data

description: This dataset contains integrated phenotypic, genotypic, and environmental data from 145 <i>Cannabis sativa</i> landrace accessions. Weekly morphological and physiological traits were recorded alongside genotyping-by-sequencing (GBS) data. Environmental information includes temperature, summarized as growing degree days (GDD), day length, and photoperiod values relevant for floral transition (switch-off).The dataset is compiled in a single CSV file and is intended for further exploration.
DOI: 10.6084/m9.figshare.9405308.v1
title: Coordinates for "Global Aromaticity and Antiaromaticity in Porphyrin Nanoring Anions"

description: Cartesian coordinates accompanying "Global Aromaticity and Antiaromaticity in Porphyrin Nanoring Anions", calculated using Gaussian16; B3LYP.<br><br>
DOI: 10.17632/5c2z92vw3g
title: The Relative Contribution of High-Gamma Linguistic Processing Stages of Word Production, and Motor Imagery of Articulation in Class Separability of Covert Speech tasks in EEG data

description: Raw EEG recordings.
DOI: 10.17632/cc25f22gkr
title: Multiplexed single-cell gene expression and TCR sequencing data generated from human thymus and blood samples

description: Single-cell RNA sequencing (scRNA-seq) has improved our ability to study rare cell subsets. To maximise reagent utility, researchers often process samples from multiple donors or conditions simultaneously (multiplexing) and overload microfluidic chip channels (superloading). While superloading reduces processing time and costs, it increases the incidence of doublets, potentially complicating downstream analyses. To investigate the effects of superloading on primary immune cells, we generated and analysed single-cell gene expression and TCR data from standard- and super-loaded gel beads-in-emulsion (GEM) chip channels. While the transcriptomic profiles of the two loading methods were largely similar, we observed that most T cells expressing multiple TCR chains were doublets, underscoring the need for TCR configuration-based doublet removal for accurate T cell analysis.
DOI: 10.6084/m9.figshare.1399185.v4
title: GlobWave multimission corrected Significant Wave Height for January through March, 2002

description: The complete GlobWave dataset is found at: ftp://ftp.ifremer.fr/ifremer/cersat/products/swath/altimeters/waves/data/ For access please consult: globwave.ifremer.fr/products/globwave-satellite-data
DOI: 10.6084/m9.figshare.21435132.v2
title: The Data of 'UAV Remote Sensing Monitoring of Yellow Leaf Disease of Arecanut'

description: The areca industry is one of the main sources of income in the Hainan Province of China, accounting for the income of nearly 2.3 million farmers. The areca yellowing disease is a highly infectious disease that has severely deteriorated the production and cultivation of areca. We did a study to apply the multispectral data obtained by using a UAV along with highresolution UAV remote sensing images to monitor the severity of the areca yellowing disease through five machine learning algorithms. The following is the data package of our research: 1.The data in the folder (Areca Vegetation Index) is the vegetation index calculated by the DJI Phantom 4 RTK to obtain the multi-spectral image and then import it into the DJI Terra software through the two-dimensional multi-spectral reconstruction. 2.The data in the folder (Machine Learning Classification) contains the vegetation index data of 200 sampling points of 603 areca trees, the vegetation index data of 57 areca trees and the identification results of the yellowing area, and the yellowing prediction training set of five machine learning methods and the predicted result. 3.The data in the folder (Model Accuracy Analysis) is the accuracy evaluation result of the correlation model between the LVV of areca and the severity of the Yellow Leaf Disease of Arecanut. 4.The data in the folder (The Severity of the Yellow Leaf Disease of Arecanut and LVV) is the prediction results of the severity of the yellow leaf disease of arecanut and the LVV measurement results of 603 areca trees in the research area.
DOI: 10.6084/m9.figshare.4954568.v1
title: financial_ADHD_Questionnaire.sav

description: This study extends prior research by examining associations between ADHD symptoms, delay discounting, and an array of previously unevaluated financial outcomes among 544 individuals (mean age 35 years). Controlling for age, income, sex, education, and substance use, ADHD symptoms were associated with delay discounting, late credit card payments, credit card balances, use of pawn services, personal debt, and employment histories (less time spent at more jobs). Consistent with neural models of reward processing and associative learning, more of these relations were attributable to hyperactive-impulsive symptoms than inattentive symptoms. Implications for financial decision-making and directions for future research are discussed.
DOI: 10.17632/kprdr35gwb
title: The acceptance and attitude towards using AT for people with stroke in Jordan data

description: This data include responses from Jordanian participants who are caregivers for people with stroke. The participants filled a survey that included their demographical data, and the Unified Theory of Acceptance and Use of Technology (UTAUT) questionnaire items.
This study conducted in four Jordanian cities (Amman, Irbid, Az-Zarqa, and Maan) among caregivers of people with stroke. An occupational therapist collected the data. The results indicated a moderate to high acceptance toward using assistive technology for people with stroke. This study shed light on novel issues regarding assistive technology based on the caregivers’ points of view
DOI: 10.6084/m9.figshare.22047071.v2
title: The first part of the dataset HKDD_AMC36 of paper "Toward Next-Generation Signal Intelligence: A Hybrid Knowledge and Data-Driven Deep Learning Framework for Radio Signal Classification".

description: <strong>https://github.com/yexijoe/HKDD</strong> <br> <strong>@ARTICLE{10042021,</strong> <strong> author={Zheng, Shilian and Zhou, Xiaoyu and Zhang, Luxin and Qi, Peihan and Qiu, Kunfeng and Zhu, Jiawei and Yang, Xiaoniu},</strong> <strong> journal={IEEE Transactions on Cognitive Communications and Networking}, </strong> <strong> title={Toward Next-Generation Signal Intelligence: A Hybrid Knowledge and Data-Driven Deep Learning Framework for Radio Signal Classification}, </strong> <strong> year={2023},</strong> <strong> volume={},</strong> <strong> number={},</strong> <strong> pages={1-1},</strong> <strong> doi={10.1109/TCCN.2023.3243899}}</strong> <br> Here we publish the first part of the dataset HKDD_AMC36 used in the paper "<strong>Toward Next-Generation Signal Intelligence: A Hybrid Knowledge and Data-Driven Deep Learning Framework for Radio Signal Classification</strong>". Automatic modulation classification (AMC) can generally be divided into knowledge-based methods and data-driven methods. In this paper, we explore combining the knowledgebased method and data-driven technology to take full advantage of both and propose a hybrid knowledge and data-driven deep learning framework (HKDD) for AMC. To make the handcrafted features more discriminative, various traditional features are adopted, including instantaneous features, statistical features, and spectral features. In the HKDD framework, a feature fusion mechanism is proposed to integrate the features learned from the original signal with those processed by a fully connected network from the handcrafted features. Besides, an attention mechanism is implemented on the fused features to neglect immature features and highlight important features. To evaluate the performance of the proposed method, we construct two modulation classification datasets containing both traditional features and raw IQ data. Simulation results show that our proposed method has significant performance gain in both adequate-sample classification scenario and few-shot classification scenario.
DOI: 10.6084/m9.figshare.23516187.v1
title: Understanding and optimizing fish counting techniques based on electrical impedance measurements: dataset

description: A complete dataset for the manuscript "Understanding and optimizing fish counting techniques based on electrical impedance measurements"
DOI: 10.6084/m9.figshare.25296223.v1
title: Neutrophil-specific interactome of ARHGAP25 reveals novel partners and regulatory insights

description: Neutrophil-specific interactome of ARHGAP25 reveals novel partners and regulatory insights
DOI: 10.6084/m9.figshare.26597269.v1
title: Sample raster for paper "High-density multi-electrode platform examining the effects of radiation on activity, functional connectivity, complexity, and survival of in vitro cortical networks"

description: Sample data for the analyses presented in the paper, including functional networks computed from high-density multi-electrode arrays
DOI: 10.6084/m9.figshare.26860954.v7
title: Inter-individual and inter-site neural code conversion

description: Data for Wang et al. "Inter-individual and inter-site neural code conversion without shared stimuli" (arxiv)Code: https://github.com/KamitaniLab/InterSiteNeuralCodeConversionVersion history:Version 7 (2024-09-30): Update on decoded features (remove unnecessary files).Version 6 (2024-09-04): Initial release.Version 1-5 (2024-09-03/04): Temporary release due to repository capacity limitations.<br>
DOI: 10.6084/m9.figshare.26871613.v1
title: Revolut Financial_Dataset.csv

description: This dataset provides a comprehensive view of a company’s financial and operational performance over the period from 2019 to 2023. It includes key metrics such as revenue, net profit, total comprehensive income, total assets, total equity, customer base, and indicators for return on equity (ROE) and return on assets (ROA). Additionally, the dataset contains a dummy variable to indicate the occurrence of a significant cyber incident in 2022. <b>Data Fields:</b><b>Year:</b> The fiscal year for the reported data.<b>Revenue (million GBP):</b> Total income generated from sales and other operations, measured in millions of GBP.<b>Net Profit (million GBP):</b> The profit after all expenses, taxes, and costs, reported in millions of GBP.<b>Total Comprehensive Income (million GBP):</b> A measure of company performance that includes net income and other comprehensive income, reported in millions of GBP.<b>Total Assets (million GBP):</b> The total value of everything the company owns, reported in millions of GBP.<b>Total Equity (million GBP):</b> The shareholders' equity, representing the residual interest in the assets of the company after deducting liabilities, reported in millions of GBP.<b>Customer Base (millions):</b> The number of customers the company serves, measured in millions.<b>ROE (%):</b> Return on Equity, calculated as (Net Profit / Total Equity) * 100, and expressed as a percentage.<b>ROA (%):</b> Return on Assets, calculated as (Net Profit / Total Assets) * 100, and expressed as a percentage.<b>CyberIncident:</b> A binary variable (0 or 1) indicating the occurrence of a cyber incident in the corresponding year, with ‘1’ indicating an incident and ‘0’ indicating none.<b>Key Insights:</b><b>Revenue Growth:</b> The company has shown significant growth in revenue, particularly from 2021 onwards, reflecting a strong upward trend in business performance.<b>Profitability:</b> After a challenging period in 2019 and 2020, the company achieved positive net profit starting in 2021, with substantial growth by 2023.<b>Operational Efficiency:</b> The ROE and ROA values demonstrate an improving trend in the company’s efficiency in utilizing equity and assets to generate profits.<b>Customer Expansion:</b> The customer base has expanded rapidly, tripling from 10 million in 2019 to 35 million in 2023, indicating successful market penetration and customer acquisition strategies.<b>Cyber Incident Impact:</b> A notable cyber incident occurred in 2022, which may have influenced financial and operational metrics during that period.<b>Potential Uses:</b>This dataset is valuable for financial analysts, researchers, and business strategists interested in understanding the financial trajectory, operational efficiency, and market growth of a company over a five-year period. It also provides insights into the impact of cyber incidents on company performance.
DOI: 10.17632/nyj5mxk5yh
title: Dataset: Success rate of transcranial Doppler scanning of cerebral arteries at different transtemporal windows in healthy elderly individuals 

description: This dataset contains the success rates of applying transcranial Doppler (TCD) scanning using a hand-held 1.6-MHz pulsed-wave TCD transducer at Middle, Posterior, and Anterior temporal windows (MTW, PTW & ATW) in the elderly subjects. Physical attributes of the head, including head circumference and the distance between tragus (‘tragus-to-tragus arc length’), were also measured.
DOI: 10.17632/sxgjr2rbnb
title: Trade-off between microbial carbon use efficiency and microbial phosphorus limitation under salinization in a tidal wetland

description: Data including the element (C, N, and P) content of soil, plant, microbial biomass, and enzyme, and their stoichiometries, microbial carbon use efficiency, microbial metabolic limitation.
DOI: 10.6084/m9.figshare.1553267.v1
title: GRID release 2015-09-22 in JSON

description: The first public release of the GRID database. Please note, the csv download only includes IDs, names & locations. See the JSON download for all metadata including types & relationships Please see here for a descriotion of the database format: https://www.grid.ac/format Release notes: Database seeded from research institutes in grant data from over 65 global funders. GeoNames IDs added to all institutes. NUTS codes added to all European institutes. Metadata added for the top 3000 Universities, majority of Germany and Australia and many more. Parent / Child relationships added for 65 super institute members (e.g. Max Planck, Chinese Academy of Sciences, etc.) External identification systems: - HESA institution codes (Higher Education Statistics Agency UK) - UCAS institution codes (Universities and Colleges Admissions Service, UK) - UKPRN institution codes (UK Provider Reference Number, UK) - 4373 Fundref codes
DOI: 10.6084/m9.figshare.24303151.v1
title: Haydon et al., 2023 - Data Set.xlsx

description: <b></b>The purpose of this study is to explore how predispositions of agreeableness trust and disposition to trust relate to trusting intentions and continuance intentions towards Artificial Intelligence.