cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.8316746.v1
title: Biolog Gen III metabolism profiling of Pseudorhizobium strains

description: High-throughput phenotyping was conducted using the GenIII microplates (Biolog, Inc., Hayward, California) for testing for growth with 94 single carbon or nitrogen nutrient sources or with inhibitors (antibiotics, salt, etc.). The GenIII phenotype data were analysed using the 'opm' R package (Vaas et al. 2013).
DOI: 10.6084/m9.figshare.14594571.v2
title: Changes in prevalence of Helicobacter pylori in Japan from 2008 to 2018: a repeated cross-sectional study

description: We conducted research to know prevalence of H.pylori in Japanese workers in 2008-2018 with results of antibody test in health check-ups.
DOI: 10.6084/m9.figshare.21904182.v1
title: Leptodactylus fallax sample information for MHC genotyping

description: Supplementary dataset providing sample information for the mountain chicken frog (Leptodactylus fallax) samples used in the characterisation of the MHC class I and II exon 2.
DOI: 10.6084/m9.figshare.25756239.v1
title: CR-IDB: The Cheese Ripeness Image Data Base

description: <b>CR-IDB: Cheese Ripeness Image Data Base</b>CR-IDB is the public image dataset described in the following article: TBD<br>Authors: Alessandra Perniciano, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, and Barbara Pes<br><b>Dataset acquisition</b>The dataset was obtained through the collaboration between Biosabbey s.r.l. and the Department of Mathematics and Computer Science (DMI) of the University of Cagliari under an agreement facilitated by DMI.Massimiliano Sicilia of Laore Sardegna oversaw the acquisition process as part of his collaboration with Biosabbey s.r.l.Subsequently, Andrea Loddo, affiliated with DMI at the University of Cagliari, curated and organized the dataset, which he currently maintains.<b>NOTE:</b> please indicate the following in case of using this dataset in your own work:TBD---------------------------------------------------------------------------------------------------------------<b>Description</b><b>:</b>CR-IDB comprises three subsets sourced from each dairy: <b>Podda-Granarolo</b>, <b>Gennargentu-Conad</b>, and <b>Lattebusche-Conad</b>. All images were captured with a single light source, centered on cardboard, and have an initial resolution of 6016 x 4,016 pixels, further resized at 1800 x 1800 pixels. Image acquisition was performed using a Nikon D750 camera with a CMOS 35.9 x 24.0 mm sensor at 24 megapixels resolution.Copyright (c) 2024 andrealoddo
DOI: 10.17632/2c6vy2px9y
title: DNS, LES, and URANS reference raw data of laryngeal transitional flow

description: This dataset can be considered as reference data for the simulation of transitional flow in laryngeal flow. In this dataset, hdf5, ASCII, and movie files are provided. The hdf5 is 2D planes, whereas the ASCII files represent the time average of line cuts and instantaneous values of flow parameters at certain probes. These probes are certain locations in the computational domain used to record the flow parameters at each time step. In total, there are 27 probes at different locations.
DOI: 10.17632/9dtz8m6267
title: A machine learning pipeline for efficient differentiation between bipolar and major depressive disorder based on multimodal structural neuroimaging

description: Due to the overlapping depressive symptomatology with major depressive disorder (MDD), 60% of patients with bipolar disorder (BD) are initially misdiagnosed, calling for the definition of reliable biomarkers that can support the diagnostic process. Here, we optimized a machine learning pipeline for the differentiation between depressed BD and MDD patients based on multimodal structural neuroimaging features. Diffusion tensor imaging (DTI) and T1-weighted magnetic resonance imaging (MRI) data were acquired for 282 depressed BD (n = 180) and MDD (n = 102) patients. Images were preprocessed to obtain axial (AD), radial (RD), mean (MD) diffusivity, fractional anisotropy (FA), and voxel-based morphometry (VBM) maps. Each feature was entered separately into a 5-fold nested cross-validated predictive pipeline differentiating between BD and MDD patients, comprising: confound regression for nuisance variables removal, feature standardization, principal component analysis for feature reduction, and an elastic-net penalized regression. The DTI-based models reached accuracies ranging from 75% to 78%, whereas the VBM model reached 61% of accuracy. All the models were significantly different from a null model distribution at a 5000-permutation test. A 5000 bootstrap procedure revealed that widespread differences drove the classification, with BD patients associated to overall higher values of AD and FA, and grey matter volumes. Our results suggest that structural neuroimaging, in particular white matter microstructure and grey matter volumes, may be able to differentiate between MDD and BD patients with good predictive accuracy, being significantly higher than chance-level.
DOI: 10.6084/m9.figshare.25612068.v1
title: <b>Phylogeny and systematics of the New World Selaginellaceae in a global context</b>

description: In recent years, there has been a surge of interest in Selaginellaceae including treatments in regional floras and the description of new species, but a comprehensive review of the phylogeny and taxonomy of the New World taxa is still lacking.
DOI: 10.17632/vbbhrr69mc
title: Data for: Instability of 7-aminoclonazepam in frozen storage conditions
DOI: 10.6084/m9.figshare.9958946.v1
title: EEG raw data.zip

description: This file contains the EEG raw data of 14 participants in the laboratory experiment and of 89 participants in the fieldwork in Nangok-dong. As stated in the manuscript, this EEG dataset was analysed to investigated valence values that show positive/negative emotions. This data was analysed by MATLAB and EEGLAB. The EEG raw data of 10 participants in the fieldwork were removed in the final analysis due to the issue of poor connection between laptop and EEG device.
DOI: 10.17632/ybmykj2tmy
title: Unveiling a Novel Approach to Corruption Measurement: Leveraging Household Survey Data on Income and Expenditure through Forensic Analysis

description: This dataset and codes are meant to replicate my paper: "Unveiling a Novel Approach to Corruption Measurement: Leveraging Household Survey Data on Income and Expenditure through Forensic Analysis".
DOI: 10.17632/9rvyjbvjw3
title: uniGasFoam: A particle-based OpenFOAM solver for multiscale rarefied gas flows

description: This paper presents uniGasFoam, an open-source particle-based solver for multiscale rarefied gas flow simulations, which has been developed within the well-established OpenFOAM framework, and is an extension of the direct simulation Monte Carlo (DSMC) solver dsmcFoam+. The developed solver addresses the coupling challenges inherent in hybrid continuum-particle methods, originating from the disparate nature of finite-volume (FV) solvers found in computational fluid dynamics (CFD) software and DSMC particle solvers. This is achieved by employing alternative stochastic particle methods, resembling DSMC, to tackle the continuum limit. The uniGasFoam particle-particle coupling produces a numerical implementation that is simpler and more robust, faster in many steady-state flows, and more scalable for transient flows compared to conventional continuum-particle coupling. The presented framework is unified and generic, and can couple DSMC with stochastic particle (SP) and unified stochastic particle (USP) methods, or be employed for pure DSMC, SP, and USP gas simulations. To enhance user experience, reduce required computational resources and minimise user error, advanced adaptive algorithms such as transient adaptive sub-cells, non-uniform cell weighting, and adaptive global time stepping have been integrated into uniGasFoam. In this paper, the hybrid USP-DSMC module of uniGasFoam is rigorously validated through multiple benchmark cases, consistently showing excellent agreement with pure DSMC, hybrid CFD-DSMC, and literature results. Notably, uniGasFoam achieves significant computational gains compared to pure dsmcFoam+ simulations, rendering it a robust computational tool well-suited for addressing multiscale rarefied gas flows of engineering importance.
DOI: 10.6084/m9.figshare.14388446.v6
title: Assessing recycling, displacement, and environmental impacts using an economics-informed material system model - source data

description: Supplementary data for the publication "Assessing recycling, displacement, and environmental impacts using an economics-informed material system model"
DOI: 10.6084/m9.figshare.6125141.v1
title: GENOTYPE BY ENVIRONMENT INTERACTION IN COWPEA LINES USING GGE BIPLOT METHOD

description: ABSTRACT The GGE Biplot method is efficien to identify favorable genotypes and ideal environments for evaluation. Therefore, the objective of this work was to evaluate the genotype by environment interaction (G×E) and select elite lines of cowpea from genotypes, which are part of the cultivation and use value tests of the Embrapa Meio-Norte Breeding Program, for regions of the Brazilian Cerrado, by the GGE-Biplot method. The grain yield of 40 cowpea genotypes, 30 lines and 10 cultivars, was evaluated during three years (2010, 2011 and 2012) in three locations: Balsas (BAL), São Raimundo das Mangabeiras (SRM) and Primavera do Leste (PRL). The data were subjected to analysis of variance, and adjusted means were obtained to perform the GGE-Biplot analysis. The graphic results showed variation in the performance of the genotypes in the locations evaluated over the years. The performance of the lines MNC02-675F-4-9 and MNC02-675F-4-10 were considered ideal, with maximum yield and good stability in the locations evaluated. There mega-environments were formed, encompassing environments correlated positively. The lines MNC02-675F-4-9, MNC02-675F-9-3 and MNC02-701F-2 had the best performance within each mega-environment. The environment PRL10 and lines near this environment, such as MNC02-677F-2, MNC02-677F-5 and the control cultivar (BRS-Marataoã) could be classified as those of greater reliability, determined basically by the genotypic effects, with reduced G×E. Most of the environments evaluated were ideal for evaluation of G×E, since the genotypes were well discriminated on them. Therefore, the selection of genotypes with adaptability and superior performance for specific environments through the GGE-Biplot analysis was possible.
DOI: 10.6084/m9.figshare.24473110.v1
title: Susceptibility modeling of hydro-morphological processes considered river topology

description: Hydro-morphological processes (HMP, any natural phenomenon contained within the spectrum defined between debris flows and flash floods) are most likely to occur in small catchments, especially buffer zones along or near rivers. However, previous studies on HMP prediction lacked consideration of the physical interactions between catchments, resulting in insufficient predictive and explanatory capabilities of the models. In this work, we fully considered the role played by river topology and developed a Topology-based HMP susceptibility Modeling (Topo-HMPSM) to simulate the dynamic interactions between catchments and predict the susceptibility of HMPs for the Yangtze River Basin during 1985-2015. Results confirmed that our proposed model outperforms four selected baseline models (RF, GBDT, GRU, and LSTM) with the best F1-score and relatively lower uncertainties. This work is a new attempt to incorporate physical mechanisms into deep learning models. A graph-based deep neural network improves the predictive and interpretability of HMP susceptibility modeling using embedding learning techniques. Our findings highlight the consideration of river topology to predict HMP to support hazard mitigation.
DOI: 10.17632/cr9m23j2k4
title: Revolutioning E Commerce : How Live Shopping Shapes Consumer Impulse Buying in Indonesia

description: This study explores the determinants of impulse buying within Live Stream Shopping applications, examining the impact of Physical Characteristic Similarity, Value Similarity, Product Attributes, Parasocial Relationships, Product Fit, Trust, and Perceived Product Quality. This research adopts a quantitative approach with primary data sources. Data collection was conducted using a questionnaire. The sample consists of 421 consumers who have experienced live streaming shopping. Purposive sampling was employed to select the participants. Data analysis was performed using Structural Equation Modeling (SEM) with the assistance of Smart PLS statistical software. The results reveal that Physical Characteristic Similarity, Value Similarity, Product Attributes, Parasocial Relationships, and Trust significantly enhance Product Fit and Perceived Product Quality, which in turn drive Impulse Buying. This research underscores the importance of optimizing live stream shopping experiences to improve consumer satisfaction and highlights the growing role of live stream shopping in Indonesia's vibrant e-commerce landscape
DOI: 10.6084/m9.figshare.15261729.v1
title: Supplementary Material for: Comparison of Absorbable Packing versus No Packing in Wound Healing after Endoscopic Sinus Surgery: A Systematic Review and Pooled Analysis

description: <b><i>Introduction:</i></b> Nasal packing after endoscopic sinus surgery (ESS) is controversial. The aim of this systematic review was to compare absorbable packing versus no packing in wound healing after ESS for the treatment of chronic rhinosinusitis. <b><i>Data Source:</i></b> English electronic databases, including Cochrane Library, EMBASE, MEDLINE, and PubMed, were searched, and only randomized controlled trials were included. <b><i>Methods:</i></b> The outcome measures were the presence of synechiae/adhesion formation, mucosal edema, crusting, granulation formation, and infection. The McNemar’s test was used for pooled analysis. <b><i>Results:</i></b> Four studies with 148 participants were included. The pooled analysis showed that absorbable packing may offer benefit in reducing adhesion at 6–8 weeks (odds ratio [OR]: 0.3864; 95% confidence interval [CI]: 0.2136–0.7235) and 12 weeks (OR: 0.2396, 95% CI: 0.08267–0.7709) postoperatively compared with no packing. There was no significant difference between the packed and the unpacked side at 2, 6–8, and 12 weeks after ESS in terms of presence of crusting, edema, and granulation formation. <b><i>Conclusion:</i></b> There is insufficient evidence to suggest that absorbable packing after ESS does not increase mucosal edema, granulation formation, and infection. However, the absorbable packing may be more effective than no packing for the prevention of mucosal adhesion after ESS. The use of absorbable nasal packing after ESS is recommended when used to reduce postoperative mucosal adhesion. More research in this area is clearly needed.
DOI: 10.6084/m9.figshare.26820892.v1
title: Open Guided Waves

description: Modern society relies on structural health monitoring to assess the condition of mechanical systems and civil infrastructure,ensuring they operate efficiently and safely. While most of studies focus on evaluating structures under controlled or stable lab conditions, a significant number of structures function in uncontrolled and dynamic environments over extended periods.Long-term monitoring in such complex conditions presents additional challenges compared to lab-based assessments. Despite this, few studies address structural health monitoring under these conditions, largely due to the lack of a public benchmark dataset. Such a dataset is crucial for identifying signal features, understanding patterns in guided waves from dynamic environments, and evaluating structural health monitoring methods. To address this gap, this paper presents a public dataset from a long-term outdoor structural monitoring experiment conducted at the University of Utah, Salt Lake City. The monitoring, spanning over 4.5 years, collected approximately 560 million guided waves under both regular environmental variations (e.g.daily temperature changes ranging from −12.2◦C to 52.5◦C, and humidity ranged from 0.5% to 100%) and irregular variations (e.g., rain and snow). The measured guided waves in the public dataset are also affected by sensor drift and installation shifts consistently over time. Additionally, thirteen types of damage were introduced to the monitored structure to support damage detection and severity evaluation under these conditions. The dataset includes measurement times, temperature,humidity, air pressure, brightness, and weather information to aid in damage detection. This paper uses correlation coefficients between adjacent guided waves and optimal correlation coefficients with baseline guided waves to highlight four key challenges in long-term outdoor monitoring: the impact of regular and irregular environmental variations, sensor drift, and installation shifts on guided waves, and the detection of minor damage that causes only slight changes in guided waves. These insights aim to assist researchers in developing more practical methods for structural health monitoring in uncontrolled and dynamic environments.
DOI: 10.6084/m9.figshare.6953219.v1
title: OrthoMCL output groups file of orthologs in the 88 isolates

description: orthoMCL groups.txt output file used to quantify the rare and common gene families in the E. tracheiphila pangenome
DOI: 10.11583/dtu.14784393.v1
title: XRR data from Ir thin-film coatings for the BabyIAXO hybrid X-ray optic

description: X-ray reflectometry data of Ir test coatings produced for the BabyIAXO hybrid X-ray optic. Measurements at both 1.487 keV and 8.048 keV are available.<br>
DOI: 10.6084/m9.figshare.26180386.v1
title: Supplementary Material for: Prognostic value of CAF marker expression in the intratumoral and marginal areas of soft tissue sarcoma

description: Introduction: The tumor microenvironment of sarcomas has not been studied in detail; in particular, little is known about cancer-associated fibroblasts (CAFs). Sarcoma cells are difficult to distinguish from CAFs, either histomorphologically or immunohistochemically. 
Methods: We scored expression of individual CAF markers (fibroblast activating protein (FAP), CD10, and podoplanin) in the intratumoral and marginal areas of 133 sarcomas. We also examined the association between these markers, as well as the number of CD163-positive macrophages (i.e., tumor-associated macrophages), and clinical outcome. Results: In all cases, the log-rank test revealed that those with high marker scores and macrophage counts (except for marginal CD10+ CAFs) showed significantly worse disease-free survival (DFS). Grade 2/3 cases with high CAF scores (excluding the marginal FAP and CD10 scores) showed significantly worse DFS, whereas those with high intratumoral FAP/CD10 and marginal podoplanin scores showed significantly worse metastasis-free survival (MFS), and those with a high intratumoral CD10 score showed significantly worse local recurrence-free survival (LFS). Multivariate analysis identified intratumoral CD10/podoplanin scores and marginal FAP/podoplanin scores as independent prognostic factors for DFS, intratumoral FAP/CD10 and marginal FAP/podoplanin/CD163-positive macrophage scores as independent prognostic factors for MFS, and the intratumoral podoplanin score as an independent prognostic factor for LFS. There was a weak-to-moderate correlation between each score and CD163-positive macrophage counts. Conclusion: Patients with high CAF marker expression in the intratumoral and marginal areas have a poorer outcome.
DOI: 10.6084/m9.figshare.27281064.v2
title: Local Stability Compensation

description: <b>bpRNA_data</b> contains tab-delimited files for bulges, hairpin loops, and internal loops in bpRNA-1 and contains a list of the structures that are a part of bpRNA-1m90, which may be used to filter the structures down to a subset with &lt; 90% sequence identity. The tab-delimited text files contain information (including calculated thermodynamic values) about each instance of a bulge, hairpin, and internal loop in bpRNA-1m as well as information about the stems adjacent to the each loop.<b>library_data</b> contains DMS reactivity data in the form of the original filtered sequence libraries used in the study in .csv format, as well as structure type energy (.ste) files for both the library sequences as designed and the library sequences as folded according to ViennaRNA's RNAfold. Lastly, the .txt files contain processed tab-delimited data collected for each sequence in each library, including free energies, average reactivities, and area under the receiver operator curve (AUROC) values for different localities.
DOI: 10.17632/y94cmw5jwx
title: Precolonial Centralization and Modern State Capacity in Africa - Dataset

description: We empirically examine the determinants of bureaucratic capacity in contemporary Africa. We connect the state capacity literature with historical and anthropological work on African state formation. Our results show a positive and statistically significant impact of precolonial centralization on bureaucratic quality in Africa, from the late-1990s onwards. Before the late-1990s, however, there is no such relationship. Our empirical findings imply that precolonial experiences have become more important over recent decades suggesting a re-emergence of deeper historical roots in Africa as the colonial experience is fading.
DOI: 10.6084/m9.figshare.12360755.v2
title: Data

description: The dataset contains results from 12 different samples tested under bending, images are for sensor gauges taken inside SEM chamber.
DOI: 10.6084/m9.figshare.15063222.v5
title: LTH genome

description: The genome annotation of LTH genome#LTH.gff: Gene set predicted by EVidenceModeler.#LTH_PASA_Update.gff3: Gene set predicted by EVidenceModeler and updated using PASA.#LTH.prot.fasta: Protein set from LTH.gff.#LTH_Prot_PASA_Update.fa: Protein sef from LTH_PASA_Update.gff3.#SNPs_InDels.tar.gz: SNPs and InDels between LTH and other commonly used rice varieties.#SVs.tar.gz: SVs between LTH and other commonly used rice varieties.
DOI: 10.17632/2ywfprtpcp
title: Differences in mindfulness and other coping outcomes among college students during the COVID-19 pandemic: A multi-modeling approach 

description: Young adults are at significant risk for increased substance abuse, worsening mental health issues, and elevated suicidal behaviors. These risks have increased since the beginning of the COVID -19 pandemic. Self-help interventions (e.g., mindfulness meditation) are available to counteract these negative effects on mental health. Mindfulness meditation has become popular as a tool for stress reduction and emotional regulation. There are significant health benefits to mindfulness-based interventions, such as increased awareness. This study’s purpose was to gain greater understanding of whether mindfulness is helpful to mental health among young adults during COVID-19. Quantitative analyses found: (1) Current employment predicted greater adherence to formal mindful practice and trait mindfulness; (2) formal practice was associated with trait mindfulness; (3) adherence to informal practice yielded a significant inverse association with trait anxiety; and (4) avoidance coping acted as mediator between both employment status and college experience (as exogenous variables), and trait anxiety, generalized anxiety/depression, and COVID-19 stress (as endogenous variables).
DOI: 10.6084/m9.figshare.25406134.v1
title: Elsafty_RBCs_Slide_4

description: Each one of (Elsafty_RBCs_Slide_1-25) contains the field images/patches of a specific slide/patient. The names of the patches start with the respective slide/patient number, followed by the unique patch/field number. There is a total of 47,363 patches with 1076x535 pixels size from the 25 slides/patients, the counts of patches per slide/patient are as follows: 1690, 1709, 2697, 2400, 1905, 1803, 2964, 3049, 2464, 2080, 1894, 1852, 2590, 2263, 3328, 983, 1066, 935, 1131, 1237, 1874, 1393, 1277, 1199, and 1580.