cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6943427.v1
title: INFLUENCE OF EXTRACTION PROCESS ON FLAVONOID CONTENT FROM Cnidoscolus quercifolius POHL (EUPHORBIACEAE) AND ANTIOXIDANT ACTIVITY

description: Cnidoscolus quercifolius Pohl is a Brazilian medicinal plant from Caatinga biome and possesses several pharmacological properties. Phytochemical investigations have attributed some of these properties to the presence of flavonoids. In this paper, we report the influence of the extraction process on the flavonoid content obtained from leaves of C. quercifolius and its antioxidant activity. A factorial design 22 was performed, using temperature and agitation as independent variables. Qualitative and quantitative analyzes of the extracts were performed by HPLC-DAD. Rutin and apigenin were identified in the extracts and chosen as analytical markers. Pareto chart and Surface response plots suggested that rutin content was increased up to 3.93 times when temperature was employed during the extraction process. However, apigenin content was significantly reduced in the method whose temperature or agitation were used (p&lt;0.05). A higher antioxidant activity was observed in extracts whose rutin extraction was favored, suggesting that this flavonoid contributes at least in part to the antioxidant potential of the species.
DOI: 10.6084/m9.figshare.24763872.v1
title: Data_AI_ATP22

description: Data of ATP tennis players from season 2022.
DOI: 10.6084/m9.figshare.24999374.v1
title: Imaging Mass Cytometry files used for analysis in Evans et al Multi-omics and imaging mass cytometry characterization of human kidneys to identify pathways and phenotypes associated with impaired renal function

description: Imaging Mass Cytometry files used for neighbourhood analysis in Evans et al Multi-omics and imaging mass cytometry characterization of human kidneys to identify pathways and phenotypes associated with impaired renal function
DOI: 10.6084/m9.figshare.23653584.v3
title: Supplementary tables

description: Supplementary data
DOI: 10.6084/m9.figshare.14986881.v2
title: Nearshore Environment and Active Seismic Sensing by Fine-Scale Fiber-Optic Array in Extreme Shallow Waters

description: FOFA DAS data tree is shown as fellow：<br>── FGH.DASInSitA│ └── vibrator15.sum.su├── FGH.DASInSitB│ └── vibrator14.sum.su├── GGR.DASInSitA│ └── air1_mhd.su├── GGR.DASInSitB│ └── air2_mhd.su├── NoiseInSitA│ ├── noise15.1.su│ └── noise15.2.su├── NoiseInSitB│ ├── noise14.1.su│ └── noise14.2.su<br>Data files are described as fellow：<br>FGH.DASInSitA：FOFA DAS data is stacked by ten shots of FGH sources and the sensing fiber under Situation A.FGH.DASInSitB: FOFA DAS data is stacked by ten shots of FGH sources and the sensing fiber under Situation B.GGR.DASInSitA: FOFA DAS data is excited by GGR sources and the sensing fiber under Situation A.GGR.DASInSitB: FOFA DAS data is excited by GGR sources and the sensing fiber under Situation B.NoiseInSitA: FOFA DAS senses of surrounding background noise when the fiber under Situation A.NoiseInSitB: FOFA DAS senses of surrounding background noise when the fiber under Situation B.
DOI: 10.6084/m9.figshare.26962930.v1
title: Perseverative cognition and suicide structural equation modeling

description: Objectives: Suicide is a significant public health issue with a high prevalence. Various studies have suggested that perseverative cognitions play an important role in the occurrence of suicide. However, the mediating mechanisms underlying the relationship between perseverative cognitions and suicidality remain largely unknown. Accordingly, the present study aimed to investigate the route of perseverative cognitions to suicide regarding the mediating role of positive and negative valence systems and social disconnection. Method: 256 students from the Shiraz University of Medical Sciences participated in this cross-sectional study. The data were collected using the Perseverative Cognitions Questionnaire (PCQ), Approach-Avoidance Temperament Questionnaire (ATQ), Social Connectedness Scale-Revised (SCS-R), and Suicidal Behaviors Questionnaire-Revised (SBQ-R). Collected data were analyzed using Pearson’s correlation test and structural equation modeling in SPSS and AMOS-26. Results: The results showed that perseverative cognitions had a direct and significant effect on Suicidal Ideation (p &lt; .001). Moreover, positive and negative valence systems and social disconnection significantly mediated the relationship between perseverative cognitions and suicide. Conclusion: Our findings showed that multiple factors including perseverative cognitions, positive and negative valence systems, and social disconnection have a role in the occurrence of suicide among university students. Accordingly, addressing these factors in therapeutic plans should be taken into consideration.
DOI: 10.17632/vhyz9f3vwg
title: Raw data of COVID-19 for India

description: Optimized Dendritic Neural Regression with Teaching learning based Optimization Model to predict COVID-19 Confirmed Cases in India
DOI: 10.6084/m9.figshare.26049403.v2
title: Xenium-IRI-ShamR.h5ad

description: H5AD file of preprocessed Xenium spatial transcriptomic data of a healthy mouse kidney.
DOI: 10.6084/m9.figshare.29145887.v1
title: uspto_filter_model.onnx

description: aizynthfinder python package
DOI: 10.6084/m9.figshare.5123332.v1
title: Supplementary Material for: Clinical Benefit of High-Sensitivity KRAS Mutation Testing in Metastatic Colorectal Cancer Treated with Anti-EGFR Antibody Therapy

description: <b><i>Objective:</i></b> We compared high-sensitivity KRAS mutation testing with direct sequencing for predicting the efficacy of antiepidermal growth factor receptor antibodies in patients with metastatic colorectal cancer (mCRC). <b><i>Methods:</i></b> We analyzed the KRAS status in 61 tumors from cetuximab-treated mCRC patients by both direct sequencing and a high-sensitivity method: 2-step PCR restriction fragmentation length polymorphism (RFLP). Therapeutic effects in each mutational status were evaluated. <b><i>Results:</i></b> The incidences of KRAS mutations determined by direct sequencing and 2-step PCR RFLP were 34.4 and 52.5%, respectively (p = 0.02). Patients were categorized into 3 groups [W/W, wild-type by both methods (n = 29); W/M, wild-type by direct sequencing, detected mutation by 2-step PCR RFLP (n = 11); M/M, mutant-type by both methods (n = 21)]. The response rate for cetuximab in the W/M group (0%) was the same as that in the M/M group, and was significantly lower than in the W/W group (41.4%) (p &lt; 0.001). Progression-free survival in the W/M group (11.0 weeks) was similar to that in the M/M group (8.0 weeks), and was significantly shorter than in the W/W group (18.0 weeks) (p &lt; 0.002). <b><i>Conclusion:</i></b> High-sensitivity KRAS mutation testing is useful for selecting true responders to cetuximab.
DOI: 10.6084/m9.figshare.5873370.v1
title: Supplementary Material for: Correlation between B-Type Natriuretic Peptide and N-Terminal pro-B-Type Natriuretic Peptide in a Large Japanese Population at Risk of Stage A Heart Failure

description: <b><i>Background:</i></b> The measurements of B-type natriuretic peptide (BNP) and N-terminal pro-B-type natriuretic peptide (NT-proBNP) are useful for ruling out heart failure and as prognostic markers in not only heart failure populations but also general populations. It is not clear whether these two biomarkers are elevated in parallel or associated with demographic characteristics in large populations at risk of stage A heart failure. Here we investigated the relationship between BNP and NT-proBNP and extended the evaluation of this association to known demographic disparities in stage A heart failure. <b><i>Methods:</i></b> Of 4,310 ambulatory patients, we analyzed the cases of the 3,643 (mean age 65 ± 11 years, 46% male, and 79% on antihypertensive medication) patients whose serum BNP and NT-proBNP levels were both measured and who had a history of and/or risk factors for cardiovascular disease from the Japan Morning Surge-Home Blood Pressure (J-HOP) Study dataset. <b><i>Results:</i></b> The median (25th–75th percentiles) BNP and NT-proBNP values were 18.7 (9.3–38.5) pg/mL and 50.3 (25.5–97.4) pg/mL. There was a significant association between log-transformed BNP and log-transformed NT-proBNP (<i>r</i> = 818, <i>p</i> &lt; 0.001). A multiple linear regression analysis showed that log-transformed NT-proBNP was significantly associated with log-transformed BNP (beta coefficient = 0.774, <i>p</i> &lt; 0.001). When stratified by demographic characteristics, these associations remained (all <i>p</i> &lt; 0.001). <b><i>Conclusion:</i></b> In a large Japanese population at risk of stage A heart failure, there was a significant association between BNP and NT-proBNP after adjustment and stratification by demographics.
DOI: 10.6084/m9.figshare.12173343.v3
title: COVID19 settings of transmission - collected reports database

description: This database contains the reports of COVID-19 transmission in various setting types that we have identified via our systematic review of published literature and media articles.
DOI: 10.6084/m9.figshare.1436178.v2
title: transcript GTF annotation of smooth muscle cells in jejunum

description: transcript annotation of smooth muscle cells in jejunum
DOI: 10.6084/m9.figshare.20523126.v2
title: Maeno et al FOB eruption Supplimentary Data tables.xlsx

description: 1. Whole rock major and trace element compositions for representative samples from the 2021 Fukutoku-Oka-no-Ba eruption 2. Chemical compositions for groundmass glass adhering to plagioclase crystals for representative samples from the 2021 Fukutoku-Oka-no-Ba eruption 3. Glass chemical compositions for melt inclusions in phenocrysts for representative samples from the 2021 Fukutoku-Oka-no-Ba eruption
DOI: 10.6084/m9.figshare.21180661.v1
title: Mound Segmentation Data

description: Dataset accompanying the Workshop on mound segmentation in Mars Arabia Terra
DOI: 10.6084/m9.figshare.23598753.v1
title: ALHumor171.sav

description: The destructive leadership model has received increased attention in the past decades. This study examined a specific form of destructive leadership style: authoritarian leadership. Drawing upon the LMX theory and Cooper’ (2008) relational process model of humor, we predicted that perceptions of leaders’ lack of warmth explain why authoritarian leaders elicits lower LMX; moreover, the negative effect on LMX via reduced warmth can be reduced when authoritarian leaders use affiliative humor. We conducted a time-lagged study in Taiwan of 171 respondents with full-time work. The results confirmed our predictions. Our study findings evidenced the harmful results of authoritarian leadership on LMX via lower perceived warmth and extended the literature of destructive leadership model by including the moderating role of leaders’ humor. We called for future research to examine the intriguing interactions of positive and negative leadership behaviours as well as leaders’ display of other forms of humor (e.g., self-deprecating humor) on subordinate perceptions/outcomes.
DOI: 10.6084/m9.figshare.9918059.v1
title: GEMValue Tuberculosis Dataset

description: Dataset for the GEMValue Tuberculosis project.Full title: Comparative analysis of listing medicines used for tuberculosis treatment on national essential medicines lists in countries with measurable healthcare access and quality outcomes
DOI: 10.17632/z55c36y2nw
title: Mendeley Publication Dataset (2008-2019)

description: The Mendeley research & publication dataset, which was indexed by Scopus from 2008 to 2019. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.
DOI: 10.6084/m9.figshare.20103803.v2
title: DeepLontar

description: DeepLontar is dataset for handwritten Balinese character detection and syllable recognition on lontar manuscript. Lontar manuscript was collected from libraries at universities in Bali. Data generation was carried out to produce 600 Lontar images to increase the variety of data. Annotations were conducted to label each character resulting in more than 100,000 characters in 55 character classes. This dataset can be used to train and evaluate performance in detecting and recognizing new Lontar manuscripts.
DOI: 10.6084/m9.figshare.28251863.v1
title: Three datasets utilized to demonstrate the MCTOT app

description: The dataset in dataset1_AF2021Q3_N_S.csv contains SARS-CoV-2 wastewater data; dataset2_miR210.csv contains liquid biopsy data; and dataset3_NCTR_E2198FeCt_mmu_let_7d.csv contains a separate set of liquid biopsy data.
DOI: 10.6084/m9.figshare.29189858.v1
title: <b>OpenREACT-CHON-FH</b> — <i>Open Reaction Dataset of Atomic Configurations with Energies, Forces, and Hessians</i>

description: <b>RTP Dataset (Reactant–Transition State–Product Dataset):</b>The RTP dataset forms the core training and evaluation set and consists of 35,087 molecular geometries sampled from 11,961 unique elementary reactions. For each reaction, three critical geometries are included: the optimized <b>reactant</b>, <b>transition state (TS)</b>, and <b>product</b>. Each geometry is labeled with its corresponding DFT-computed <b>potential energy</b>, <b>atomic forces</b>, and <b>Hessian matrix</b>. This dataset represents stationary points (critical points) on the potential energy surface and serves as the foundation for training the MLIPs to reproduce energies, gradients, and curvatures.<b>IRC Dataset (Intrinsic Reaction Coordinate Dataset):</b>To assess the <b>extrapolation</b> performance of the trained MLIPs along continuous reaction pathways, a dataset of 34,248 geometries was compiled from <b>600 Intrinsic Reaction Coordinate (IRC) paths</b>, each corresponding to a distinct elementary reaction in the RTP dataset. These geometries were obtained by following the minimum energy path (MEP) from the transition state to both reactant and product wells using quantum chemistry calculations. While these geometries are not explicitly used in training, they provide a rigorous benchmark for evaluating the ability of MLIPs to generalize beyond training data and accurately model transition state connectivity and reaction dynamics.<b>NMS Dataset (Normal Mode Sampling Dataset):</b>To evaluate MLIP robustness on <b>off-equilibrium, perturbed structures</b>, 62,527 geometries were generated via <b>Normal Mode Sampling (NMS)</b>. These structures are derived by displacing intermediate IRC geometries along their vibrational modes with random amplitudes, simulating thermal fluctuations and non-equilibrium distortions. This dataset allows for testing the model's stability and accuracy in more realistic, noisy molecular environments as encountered in molecular dynamics simulations or under experimental conditions.
DOI: 10.6084/m9.figshare.c.3641366_d3.v1
title: MOESM1 of Integrative taxonomy of the Plain-backed Thrush (Zoothera mollissima) complex (Aves, Turdidae) reveals cryptic species, including a new species

description: Additional file 1: Table S1. Samples used in the genetic analyses, including GenBank numbers.
DOI: 10.6084/m9.figshare.16905058.v5
title: SOI tables for Reichart et al. 2022 Microbiology Research Announcements

description: Sequencing libraries and corresponding methods as well as IMG/M bin ID numbers, statistics, and processing method for metagenome assembled genomes contained in "Metagenomes and metagenome-assembled genomes from substrate-amended hot spring sediment incubations from Yellowstone National Park", Microbiology Resource Announcements. Reichart et al. 2022
DOI: 10.6084/m9.figshare.27074829.v2
title: Neyman-Pearson Multi-Class Classification via Cost-Sensitive Learning

description: Most existing classification methods aim to minimize the overall misclassification error rate. However, in applications such as loan default prediction, different types of errors can have varying consequences. To address this asymmetry issue, two popular paradigms have been developed: the Neyman-Pearson (NP) paradigm and the cost-sensitive (CS) paradigm. Previous studies on the NP paradigm have primarily focused on the binary case, while the multi-class NP problem poses a greater challenge due to its unknown feasibility. In this work, we tackle the multi-class NP problem by establishing a connection with the CS problem via strong duality and propose two algorithms. We extend the concept of NP oracle inequalities, crucial in binary classifications, to NP oracle properties in the multi-class context. Our algorithms satisfy these NP oracle properties under certain conditions. Furthermore, we develop practical algorithms to assess the feasibility and strong duality in multi-class NP problems, which can offer practitioners the landscape of a multi-class NP problem with various target error levels. Simulations and real data studies validate the effectiveness of our algorithms. To our knowledge, this is the first study to address the multi-class NP problem with theoretical guarantees. The proposed algorithms have been implemented in the R package npcs, which is available on CRAN. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.17632/sfxcjwf6cb
title: Rose Leaf Disease Detection Dataset

description: #Description:
Roses are widely valued as symbols of love, purity, and affection, and they also hold significant economic value as a commercial crop. Unfortunately, rose plants are often impacted by various leaf diseases that reduce both their aesthetic appeal and profitability. To help address this issue, we created a specialized dataset of rose leaf images to support research in machine learning, specifically for disease identification.

#Dataset Content
This dataset was collected through field visits to Golaap Gram, Allah Vorsha Nursery, and Daffodil Nursery, with images captured under natural daylight to ensure clarity and detail. It includes 4,725 high-quality rose leaf images, organized into five categories:
1. Black Spot: 788 images
2. Downy Mildew: 390 images
3. Mosaic: 436 images
4. Insect Infested: 610 images
5. Healthy: 2,501 images
To optimize its utility for research, the dataset has undergone preprocessing steps, including image classification, noise reduction, background removal, and augmentation.
DOI: 10.17632/7wy65833v5
title: Dataset for Marine emissions of methanethiol increase aerosol cooling in the Southern Ocean - Wohl et al., 2024 - SA

description: Data used in "Marine emissions of methanethiol increase aerosol cooling in the Southern Ocean" - Wohl et al., 2024 - Science Advances.
DOI: 10.17632/xt9rg825j9
title: Data for: Human capital and energy consumption in the OECD

description: Data files
DOI: 10.6084/m9.figshare.12151554.v3
title: IJGIS-2020-0089_dataset&codes

description: This contains the codes and experimental datasets for our manuscript submitted to IJGIS (IJGIS-2020-0089 RegNet: a neural network model for predicting regional desirability with VGI data)<br>
DOI: 10.6084/m9.figshare.13181978.v1
title: Elevated coronary artery calcium scores are associated with tooth loss

description: <b>Abstract </b> <b>Aim</b> This study explores the association between Coronary Artery Calcium (CAC) scores and dental pathology such as missing teeth, the (peri-apical) health status and restoration grade of the teeth, and the grade of alveolar bone loss seen on a dental panoramic radiograph (Orthopantomograph – OPG). <b>Materials and Methods</b> In this retrospective cross-sectional study, data was collected from three hospitals spread in the Netherlands. Patients were included when a CAC score and an OPG were available, both recorded within a maximum period of 365 days from 2009-2017. The CAC score was measured on a CT scan, using the Agatston method. To assess dental pathology, the number of missing teeth, the number of dental implants, alveolar bone loss, caries, endodontic treatments, peri-apical radiolucencies, bone loss at implants, impacted teeth and dental cysts, were determined on the OPG. All observers were calibrated. The electronic health records provided information about: gender, age, smoking, Diabetes Mellitus, hypercholesterolemia, hypertension and Body Mass Index (BMI). <b>Results</b> 212 patients were included. We found a statistically significant association between the number of missing teeth and the CAC score. When modeling age, sex, and other well-known risk factors for cardiovascular disease, the significant correlation was no longer present after multivariate correction. Furthermore, the results showed a trend for more teeth with peri-apical lesions and a higher percentage of mean alveolar bone loss in the group with the highest CAC scores. <b>Conclusion</b> This study showed that being edentulous or missing teeth is correlated to higher CAC scores however failed to be an independent predictor of atherosclerotic cardiovascular diseases. The number of (missing) teeth is an easy accessible marker and could be used as a marker for atherosclerotic cardiovascular disease (ACVD) risk by almost any healthcare worker. The current study needs to be considered as an explorative pilot study and could contribute to the design of further (prospective) studies on the relationship between dental pathology and coronary artery calcification by adding clinical information and extra cardiovascular biomarkers.
DOI: 10.6084/m9.figshare.27976818.v1
title: GCM biascorrected

description: Normalizing flow, quantile mapping, and canonical correlation analysis based bias-corrected datasets for GFDL's ESM4, ACCESS-CM2, NorESM2-LM, MRI-ESM2-0, and MPI-ESM1-2-HR. <br>
DOI: 10.6084/m9.figshare.1085984.v1
title: A Novel Parameterization of Droplet Activation Suitable for Global Climate Models

description: Research update presented at CENSAM 2014 workshop
DOI: 10.6084/m9.figshare.26580614.v1
title: Additional file 1 of Pulmonary function in a cohort of heart-healthy individuals from Northern Sweden—a comparison with discordant reference values

description: Additional file 1. rLMS Lookup Table