cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.27629037.v1
title: Online Appendix - Do Prompt Patterns Affect Code Quality? A First Empirical Assessment of ChatGPT-Generated Code

description: This replication package contains all the relevant scripts to reproduce the results given in the paper. For more details on reproducing the experiment, read the readme.md file in the package.
DOI: 10.6084/m9.figshare.11912142.v1
title: Data supporting Figures 2 and 3 from Decoding the social volatilome by tracking a rapid context-dependent odour change

description: Odours can have a significant influence on the outcome of social interactions. However, we have yet to characterize the chemical signature of any specific social cue in human body odour, and we know little about how changes in the social context influence odour chemistry. Here, we argue that adoption of emerging analytical techniques from other disciplines, such as atmospheric chemistry, might become game-changing tools in this endeavour. First, we describe the use of online chemical ionization time-of-flight mass spectrometry to sensitively measure many hundreds of gas-phase volatile organic compounds in real time. By analysing ambient air emanating from undisturbed individuals or groups, the technique enables a continuous recording of an instantaneous odour change in response to external stimuli and changing the social context. This has considerable advantages over the traditional approach of periodic sampling for analysis by gas chromatography. We also discuss multivariate statistical approaches, such as positive matrix factorization, that can effectively sift through this complex datastream to identify linked groups of compounds that likely underpin functional chemosignals. In combination, these innovations offer new avenues for addressing outstanding questions concerning olfactory communication in humans and other species, as well as in related fields using odour, such as biometrics and disease diagnostics.This article is part of the Theo Murphy meeting issue ‘Chemical communication in humans’.
DOI: 10.6084/m9.figshare.14290623.v1
title: SUBJECTIVITY AND INTERSUBJECTIVITY IN CONDITIONALS: TEMPORAL BACKSHIFTING STRATEGIES IN BRAZILIAN PORTUGUESE

description: This work takes a Cognitive Linguistics perspective on Brazilian Portuguese conditional constructions. Based on mental spaces theory (FAUCONNIER, 1994, 1997; FAUCONNIER; SWEETSER, 1996) and on mental spaces work on conditionals (SWEETSER, 1990; DANCYGIER, 1998, DANCYGIER; SWEETSER, 2005; GOMES, 2008), the research relied on recent contributions on subjectivity and intersubjectivity (LANGACKER, 1990; TRAUGOTT; DASHER, 2005; VERHAGEN 2005), and its developments based on the notion of Base Communicative Space Network (BCSN) ( SANDERS; SANDERS; SWEETSER, 2009; FERRARI; SWEETSER, 2012). Drawing on written corpus data, which includes journalistic and literary texts, we focus on conditionals which may alternate between the future of the subjunctive and the present of the indicative, in the protasis, and between the present and the future of the indicative, in the apodosis. Four groups of conditionals were identified that displayed distinct relations between mood/tense selection and cognitive motivations. The main contribution of the paper is that it provides a unified framework for relating tense/mood alternations in conditionals to the speaker´s subjective and/or intersubjective perspective.
DOI: 10.6084/m9.figshare.25833949.v2
title: Phytoplankton abundance data set of East China Sea in 2011. xlsx

description: The phytoplankton abundance data gathered from the ECS in 2011, including all seasons.
DOI: 10.6084/m9.figshare.28901936.v1
title: Supplementary Material for: Efficacy of locoregional treatment for oligo-drug-resistant lesions during first-line atezolizumab plus bevacizumab therapy for unresectable hepatocellular carcinoma: a single-center retrospective study

description: Introduction: Despite recent advancements, outcomes for unresectable hepatocellular carcinoma (HCC) treated with atezolizumab plus bevacizumab (atezo/bev) remain suboptimal, with drug resistance posing a major challenge. This study evaluated the efficacy of additional locoregional treatments (LRTs) for oligo-atezo/bev-resistant lesions. 
Methods: We retrospectively analyzed patients with intermediate-stage and advanced-stage HCC who developed drug-resistant lesions during first-line atezo/bev therapy. Patients were divided into two groups: the combination therapy group (n=10) receiving additional LRT and the atezo/bev alone group (n=26). Progression-free survival (PFS) 1 was measured from atezo/bev therapy initiation to progressive disease (PD) or death, whereas PFS2 was calculated from atezo/bev therapy initiation to PD of second-line therapy or death. The PFS1 in the combination therapy group was compared to the PFS1 and PFS2 in the atezo/bev alone group. Two analyses were performed for the PFS and overall survival (OS): one including the total cohort and the other restricted to those eligible for LRT upon the appearance of atezo/bev-resistant lesions. Changes in the hepatic reserve before and after LRT were also assessed.
Results: LRT, followed by continued atezo/bev therapy, safely eradicated drug-resistant lesions in the combination therapy group, without compromising the hepatic reserve. All patients in the combination therapy group transitioned to second-line treatment due to preserved hepatic reserve after PD. The PFS1 in the combination therapy group was longer than the PFS1 and PFS2 in the atezo/bev alone group in both the total cohort and LRT-eligible subgroup. Similarly, the OS in the combination therapy group was longer than in the atezo/bev alone group in both analyses.
Conclusion: LRTs may provide a viable option for managing oligo-drug-resistant lesions during first-line atezo/bev therapy for unresectable HCC when safely administered.
DOI: 10.17632/bbp9tcdrwy
title: Research on Machine Vision-Based Detection Method for Status Monitoring of Printhead in Inkjet 3D Printing

description: This dataset supports the research titled "Research on Machine Vision-Based Detection Method for Status Monitoring of Printhead in Inkjet 3D Printing". It includes: (1) raw and preprocessed jetting images captured from transparent inkjet nozzles; (2) output results from the Pixel-weighting and Multi-feature Fusion (PMF) algorithm used for initial rule-based defect evaluation; and (3) training and validation datasets for lightweight convolutional neural networks (CNNs), along with corresponding classification labels and model outputs. These data were used for nozzle-level defect detection and printhead health assessment, enabling accurate classification of normal, intermittent, and failed jetting states. The dataset facilitates further research in intelligent fault diagnosis, image-based monitoring, and machine learning applications in inkjet-based additive manufacturing.
DOI: 10.17632/bfxszztgxw
title: Capillary Heterogeneity Controls Methane Migration in Shallow Unconfined Aquifers

description: Simulations were performed using CMG-GEM. Sample input files for some scenarios are given here.
DOI: 10.17632/mk8hdyk5sz
title: Prevalence of cervical HPV infection in women with systemic lupus erythematosus: a systematic review and meta-analysis

description: Background: Human papillomavirus (HPV), a common sexually-transmitted infection, is considered a necessary cause of cervical cancer. The objectives of this systematic review and meta-regression were: 1) to compare the prevalence of cervical HPV infection between SLE patients and healthy controls and 2) to evaluate the relationship between cervical HPV infection and traditional and SLE-related risk factors for cervical HPV infection in these patients. Methods: We conducted a systematic literature review (PubMed, Cochrane library, Embase, Virtual Health Library and SciELO databases) following PRISMA guidelines and meta-regression to investigate the pooled prevalence of cervical HPV infection in adult women with SLE. The included articles were independently evaluated by two investigators who extracted information on study characteristics, defined outcomes, risk of bias and summarized strength of evidence [Quality of evidence using the Oxford Centre for evidence-based medicine (EBM) Levels of Evidence] Using meta-regression, we further analyzed whether factors such as multiple sexual partners and immunosuppressive therapy were associated with HPV prevalence. We evaluated the quality of evidence included using the Oxford Centre for evidence-based medicine (EBM) levels of evidence. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated for studies providing data on HPV prevalence in women with SLE and in healthy controls. Results: A total of 687 articles were identified; 9 full-text articles examining the prevalence of cervical HPV infection in SLE women were included, comprising 751 SLE women. Eight studies employed PCR using general primers. The HPV prevalence varied from 3.1% to 80.7%. From the random effects meta-analysis, the pooled prevalence of cervical HPV infection in SLE vs. controls was 34.15% (95% CI: 19.6%-52.5%) vs. 15.3% (95% CI 0.79-27.8%), OR = 2.87 (95% CI: 2.20-3.76) p&lt; 0.0001, with large between-study heterogeneity (I2= 95.4%). When only SLE women were evaluated, meta-regression showed no significant differences between patients with and without a background of multiple sexual partners and any immunosuppressive therapy. In addition, the prevalence of cervical HPV infection did not significantly differ between SLE patients on azathioprine or cyclophosphamide. A detailed dataset presenting the totally of the articles included is attached. The variables included are the result of two datasets constructed by two independently reviewers (CMP and MGC) after resolving disagreements by consensus. The variables included in the attached file are: first author, year of publication, country where the study was carried out, study design, the number of SLE patients and/or controls, their mean age, glucocorticoid use and dose in SLE participants as well as immunosuppressant, increased number of sexual partners, method sample collection, HPV detection method, HPV genotype and HPV high risk prevalence"
DOI: 10.17632/p45b6h7bk2
title: A Maxwell–Schrödinger solver for quantum optical few-level systems

description: Abstract The msprop program presented in this work is capable of solving the Maxwell–Schrödinger equations for one or several laser fields propagating through a medium of quantum optical few-level systems in one spatial dimension and in time. In particular, it allows to numerically treat systems in which a laser field interacts with the medium with both its electric and magnetic component at the same time. The internal dynamics of the few-level system is modeled by a quantum optical master equation wh... Title of program: msprop Catalogue Id: AEHR_v1_0 Nature of problem We consider a system of quantum optical few-level atoms exposed to several near-resonant continuous-wave or pulsed laser fields. The complexity of the problem arises from the combination of the coherent and incoherent time evolution of the atoms and its dependence on the spatially varying fields. In systems with a coupling to the electric and magnetic field component the simultaneous treatment of both field components poses an additional challenge. Studying the system dynamics requires solving t ... Versions of this program held in the CPC repository in Mendeley Data AEHR_v1_0; msprop; 10.1016/j.cpc.2010.10.018 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.17632/yh2yxwbc9m
title: Automatic Gauze Tracking in Laparoscopic Surgery using Image Texture Analysis

description: This dataset contain the code, images and video results of the analysed algorithms: LBP|VAR, CLBP and the convolutional neural network ResNet50.
DOI: 10.6084/m9.figshare.11903052.v1
title: Kinetics of Water Gas Shift Reaction on Au/CeZrO4: A Comparison between Conventional Heating and Dielectric Barrier Discharge (DBD) Plasma Activation

description: Dataset are uploaded and corresponds to Figures in the paper.
DOI: 10.6084/m9.figshare.22678132.v2
title: A comprehensive dataset of animal-associated sarbecoviruses

description: Zoonotic spillover of sarbecoviruses (SarbeCoVs) from animals to humans under natural conditions has led to two large-scale pandemics, the severe acute respiratory syndrome (SARS) pandemic in 2003 and the ongoing COVID-19 pandemic. Knowledge of the genetic diversity, geographical distribution, and host specificity of sarbecoviruses is therefore of interest in terms of pandemic surveillance and origin tracing of SARS-CoV and SARS-CoV-2. This study presents a comprehensive and up-to-date repository of publicly available animal-associated SarbeCoVs, covering 1,535 viruses identified from 68 animal species distributed in 43 countries worldwide. Relevant meta-information, such as host species, sampling time and location, was manually curated and included in the dataset to facilitate further research on the potential patterns of viral diversity and ecological characteristics. In addition, the dataset also provides well-annotated sequence sets of receptor-binding domains (RBDs) and receptor-binding motifs (RBMs) for the scientific community to highlight the potential determinants of successful cross-species transmission that could be helpful for risk estimation and strategic design of future emerging infectious disease control and prevention.
DOI: 10.6084/m9.figshare.27760053.v1
title: Halpha-X-ray Surface Brightness Correlation for Filaments in Cooling Flow Clusters

description: Data for the production of Figure 1
DOI: 10.17605/osf.io/mx7hg
title: SYNAPTONIS Θεωρητικό Μοντέλο Νευροαισθητηριακού Επανασυγχρονισμού για την Αποκατάσταση των Κοινωνικών Νευρωνικών Δικτύων στον Αυτισμό

description: Το SYNAPTONIS είναι μια νέα θεωρητική πρόταση νευροτεχνολογικής παρέμβασης στον αυτισμό, η οποία σχεδιάστηκε από τον Δρ. Δημήτριο Γ. Κίμογλου και βασίζεται στην αρχή ότι οι κοινωνικές δυσκολίες του αυτιστικού φάσματος οφείλονται κυρίως σε φλοιϊκή αποσυγχρονισμένη λειτουργία και όχι σε δομική ανεπάρκεια. Το μοντέλο εισάγει μια καινοτόμο προσέγγιση πολυαισθητηριακής επανασυγχρονιστικής διέγερσης (σε 40Hz), με σκοπό την επανασύνδεση μεταξύ κρίσιμων εγκεφαλικών περιοχών, όπως ο προμετωπιαίος φλοιός, η αμυγδαλή, ο STS και η insula. Περιλαμβάνει, θεωρητικά, τη χρήση ρυθμικού φωτός, δόνησης, binaural beats, παρακολούθηση HRV μέσω rPPG, καθώς και τη διαλογική αλληλεπίδραση με avatar τεχνητής συναισθηματικής νοημοσύνης. Η θεραπεία δεν εφαρμόζεται ακόμη στην πράξη και προτείνεται αποκλειστικά για ερευνητική θεμελίωση και επιστημονική αξιολόγηση. Αντικείμενο του SYNAPTONIS™ είναι να συμβάλει σε μια βιολογικά τεκμηριωμένη επαναθεμελίωση της θεραπείας του αυτισμού, βασισμένη σε νευρορυθμιστικές αρχές. Το έργο προστατεύεται νομικά, διαθέτει DOI, και εντάσσεται στη νέα γενιά συστημάτων νευροσυγχρονιστικής παρέμβασης με προοπτική εφαρμογής στο πεδίο της ψυχιατρικής, της νευροανάπτυξης και της τεχνητής νοημοσύνης στην ψυχολογία.
DOI: 10.17632/gv34bvthdx
title: Data for: How Mobile Augmented Reality is applied in Education? A systematic literature review

description: MAR approaches have been applied as an instructional strategy in educational contexts. In this respect, it is important to identify how these approaches have been developed and evaluated with the purpose to identify their quality and benefits. The goal of this article is to identify the state-of-the-art on how the MAR has been used for educational purposes. Therefore, we performed a systematic literature review with a sample of 57 articles. Based on the selected studies, we analysed which knowledge areas the MAR approaches are used in the educational contexts. We also analysed how the approaches have been developed, and evaluated. As a result, we identify that the technical requirements used in the development of the MAR approaches are defined based on the expertise of the development team. Most evaluations are carried out without an appropriate scientific rigor in terms of research design. This shows that there is a need of more consistent and uniform patterns in terms of methods for systematically develop and evaluation of MAR approaches. And, thus, obtain valid results that can be used as a basis for a decision on the application of such approaches and/or their continuous improvement for the educational purposes.
DOI: 10.17632/nc9m5zm8st
title: Applied Biomedical Engineering Using Artificial Intelligence and Cognitive Models - Chapter 5 - dataset - Deep Learning Models Principles Applied to Biomedical Engineering 

description: The underlying principle of “Deep Learning” is that of the compositional nature of “neural networks” inspired by the biological elements that forms the “human brain,” such as a collection of “nodes” emulating “brain neurons” and their “neuron synapses connections as primary elements, that combine to form midlevel elements identified as “Artificial Neural Networks (ANNs),” which in turn are combined with different architectures to form more complex networks. These “ANNs*” are organized based on their architectural type, and the way their different components are connected to one another, defining the specific learning goal in different types*. They are classified in families as “Feed Forward Neural Network,” “Backpropagation Neural Networks,” “Recurrent Neural Networks,” “Memory Augmented Neural Networks,” “Modular Neural Networks,” and “Evolutionary Neural Networks.” The first two “ANN types” are studied in depth in this chapter and the others are covered in the Chapter 6. Please read this chapter at Science Direct: https://www.sciencedirect.com/science/article/pii/B9780128207185000015, or the book - eBook available at Elsevier, Amazon or bookstores worldwide
Note*: There is no standard set of rules to classify the different types of “ANN,” 
Section 5.2.3 “RBF” to analyze “heart rhythm" (folder MATLAB_RBF)
Section 5.2.4 “Probabilistic neural network (PNN)” to classify the “types of FLU: A, B, and C.” (folder MATLAB_PNN)
Section 5.2.5 “Extreme Learning Machine (ELM)” for diabetes values prediction (folder MATLAB_ELM)
Section 5.3.1 5.3.1 Research 5.1 Feed Forward Neural Network to Analyze “Human Body Fat” (folder MATLAB_BFE)
Section 5.3.2 Research 5.2 Neural Network for clustering based on “Self-Organizing MAP* through a Shallow Neural Network” to analyze Surface Electromyography signals (folder MATLAB_CL)
Section 5.3.3 Research 5.3 Neural Network for Dynamic Time series based on a “NARX is a nonlinear autoregressive exogenous model” to analyze vertical Ground Reaction Forces signals (folder MATLAB_DTS)
Section 5.4 Back propagation neural network Auto Encoder Neural Network to reconstruct chest X-rays (folder MATLAB_AE)
Section 5.4.4.1 Research 5.4 Backpropagation Neural Network for Patterns Recognition and classification of “Breast Cancer” (folder MATLAB_PR)
Section 5.5.1 Research 5.5 “Pretrained Deep Convolutional Neural Network to obtain an AI model to classify Mammograms standard views types” (folder MATLAB_IMG)
Section 5.5.2 Research 5.6 modify a “Pretrained Deep Convolutional Neural Network” to obtain AI model to “classify Mammograms view type and suggest breast abnormalities as possible breast tumor” (folder MATLAB_DND)
Section 5.5.3 Research 5.7 “custom Deep Convolutional Neural Network” to obtain an AI model to “classify Cervical X-rays view types” (folder MATLAB_Build_DCN)
DOI: 10.17632/pv8n6bnhn8
title: Data for: Experimental and CFD investigation of inert bed materials effects in a high-temperature conical cavity-type reactor for continuous solar-driven steam gasification of biomass

description: Supporting Information for "Experimental and CFD investigation of inert bed materials effects in a high-temperature conical cavity-type reactor for continuous solar-driven steam gasification of biomass" 1. Experimental set up 2. Model development 3. Complementary results
DOI: 10.6084/m9.figshare.1306936.v1
title: An alternative simplified version of the VECEA potential natural vegetation map for eastern Africa

description: <strong>Summary</strong><br>Spatial data layer containing the potential natural vegetation map of eastern Africa and documentation describing the methodology used to create this map. <strong>Introduction</strong><br>This data set consists of a spatial data layer (raster layer at geotif format) describing the potential natural vegetation of eastern Africa (Kenya, Uganda, Tanzania, Rwanda, Malawi, Zambia). The map is based on the potential natural vegetation (PNV) map for eastern Africa developed by the VECEA (Vegetation and Climate change in East Africa) project, which was also the one who created the present map. This map is based on historical vegetation maps, developed during the 50s to 70s of the twenties' century. It is available on http://vegetationmap4africa.org, including a detailed documentation of the individual vegetation types and a description of the methodology used to create the map. The original PNV map can be used e.g., as baseline in assessments of vegetation change, reforestation options and conservation assessments. One problem for regional analysis is that not all PNVs were consistently mapped across the region. A number of the vegetation types were mapped in one country individually, while mapped as part of a more aggregated vegetation type in other countries. This was done to maintain the maximum level of information available. However, this may be sub-optimal for regional level assessments. Most locations in the region are classified as one unique PNV. However, there are also a number of areas where the vegetation was classified as a compound vegetation type (i.e., consisting of two or more vegetation types. In these cases the existing historical maps, documentation and available expert knowledge was not conclusive as to the exact nature of the potential natural vegetation in that area. For estimations of e.g., area statistics one would ideally be able to classify each location as a unique PNV. <strong>Objective</strong><br>The objective of the work presented in this manuscript was to harmonize the vegetation classification across the different countries in the eastern Africa region. Furthermore, to be able to estimate area statistics for the different PNVs, we also split compound vegetation types into unique PNVs. The latter was done using environmental distribution modelling based on the distribution of the PNVs in the original map. <strong>File set</strong><br>The file set consists of a manuscript detailing the methods used to create the revised and a simplified potential natural vegetation map and the data layer created (a raster file in geotif format). If you use the data, we are requesting you to notify us of the intended use (http://vegetationmap4africa.org/6_Contact_us/Contact_form.html)
DOI: 10.6084/m9.figshare.28496048.v1
title: Kotla Dahar-QSR-data

description: Climate proxy data from Kotla Dahar lake, Haryana, NW India.