cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/ms5d852szf
title: Keywords data extracted from Behavioral Finance journals

description: The dataset comprises a collection of text data consisting of keywords used in articles published in a selection of academic journals between 2000 and 2020. The chosen journals include the Journal of Economic Psychology, the Journal of Behavioral Finance, the Journal of Behavioral and Experimental Economics, the Journal of Behavioral and Experimental Finance, and the Review of Behavioral Finance. The data was gathered using data analytics techniques in conjunction with a set of tools programmed in R, facilitating the cleaning and organizing of the dataset. Additionally, the dataset includes information such as authors, titles, abstracts, and publication dates for each article. Researchers can utilize this dataset of metadata to analyse and investigate the evolution of the field of Behavioral Finance, using the published articles' keywords as a reference.
DOI: 10.6084/m9.figshare.19779985.v2
title: Mechanical Stress Protects Against Chondrocyte Pyroptosis through Lipoxin A4 via Synovial Macrophage M2 Subtype Polarization in an Osteoarthritis Model

description: Our previous study found that lipoxin A4 (LXA4) exerted therapeutic effects on osteoarthritis (OA). In this study, we evaluated the effects of LXA4 via synovial macrophage M1/M2 subtype polarization on chondrocyte pyroptosis and mechanisms during mechanical stimulation. Synovial macrophages were subjected to various LXA4 concentrations and cyclic tensile strain (CTS) conditions to determine optimal co-culture conditions. The effects of LXA4 on chondrocyte pyroptosis, as represented by macrophage M1/M2 subtype polarization, were detected by western blot, immunofluorescence, and flow cytometry analyses. Forty male Sprague-Dawley rats were randomly divided into four groups (n = 10): control group (CG), OA group (OAG), OA with moderate-intensity treadmill exercise (OAE), and OAE + BOC-2 (an LXA4 antagonist). All rats were evaluated using histology, enzyme-linked immunosorbent assay (ELISA), quantitative PCR, and western blot analyses. We found that LXA4 was downregulated in articular fluid and that CD 86/Arg 1 was up-regulated in the synovium of patients with increasing Kellgren-Lawrence grade. In vitro, CTS and LXA4 both promoted M2 subtype polarization of synovial macrophages, inhibiting the nuclear translocation of NF-κB p65 and the NLRP3 formation in chondrocytes. In vivo, the OAE treatment exerted protective effects on articular cartilage and facilitated M2 polarization of synovial macrophages. These effects were suppressed by BOC-2 treatment. We concluded that moderate CTS enhances the therapeutic effects of LXA4 by inhibiting the nuclear translocation of NF-κB p65 and NLRP3. Furthermore, the therapeutic effects of LXA4 during treadmill exercise in monoiodoacetate-induced OA were driven by promotion of synovial macrophage M2 subtype polarization.
DOI: 10.6084/m9.figshare.23501316.v1
title: The data of the article "<strong>Development and validation of the artificial intelligence learning intention scale (AILIS) for university students</strong>"

description: As artificial intelligence (AI) permeates almost all aspects of our lives, university students need to acquire relevant knowledge, skills, and attitudes to adapt to the challenges it poses. This study involved the development and validation of a scale, called the Artificial Intelligence Learning Intention Scale (AILIS), which measured the relevant factors that shape university students’ behavioral intentions to learn about AI. We recruited 907 Chinese university students who answered the survey. The scale is comprised of 9 factors that are categorized into various dimensions pertaining to the epistemic capacity (AI basic knowledge, programming efficacy, designing AI for social good), facilitating environment (actual use of AI systems, subjective norms, access to support and technology), psychological attitudes (resilience, optimism, personal relevance), and outcomes (behavioral intention to learn AI, actual learning of AI). Reliability analyses and confirmatory factor analyses indicated that the scale has acceptable reliability and construct validity. In addition, structural equational modelling found that 16 out of the 17 hypotheses tested were supported. Overall, the findings reveal that Chinese university students express a strong intention to learn about AI, and this behavioral intention is closely associated with actual learning. We also found several key factors associated with students’ behavioral intention to learn AI. The study contextualizes the theory of planned behavior for university AI education, provides guidelines on the design of AI curriculum courses, and means of assessing course effectiveness.
DOI: 10.6084/m9.figshare.27317217.v1
title: The Dataset for meta-analysis

description: This study confirmed through meta-analysis that eCO<sub>2</sub> enhanced N<sub>2</sub>O emission from wheat seasons while having no effect on rice seasons. Changes in ΔCO<sub>2</sub> concentration, soil pH, and crop type were major factors affecting N<sub>2</sub>O emissions in this analysis and suggest that the knowledge of these simple-to-measure factors can help in the prediction of future global warming potential scenarios.
DOI: 10.17632/crp9hr6kyf
title: Data for Performance and Decision Making under Monitoring and Outcome Pressurere
DOI: 10.17632/ct5grf2h77
title: Wave based method for the flexural vibration of thin plate with arbitrary edge restraints

description: This dataset is the research data of a submitted article. It includes the Matlab codes that computes the flexural vibration of thin plates with any kind of boundary conditions using the Wave Based Method. It also provides the numerical results (in the "Data" folder) for the cases presented in the article, including the WBM results obtained from the MATLAB codes and the FEM reference results obtained from ANSYS. The FEM results are directly listed in the excels for the displacements of the two selected points on the plate, while the WBM results are the contribution factors saved in the MATLAB work space (*.mat), with which one can obtain the displacement at any point of the plate by postprocessing. The postprocessing codes are also provided. More details about the considered plate problem can be found in the corresponding article.
DOI: 10.17632/gr3c7m44jn
title: Swarm Intelligence for New Materials dataset

description: This is the data set in paper 'Swarm Intelligence for New Materials'
DOI: 10.17632/p74nyzt979
title: fNIRS-Respiration-ECG

description: This file contains data from a single fNIRS channel (FpZ) recorded alongside ECG and respiration data during a respiratory task. Each file corresponds to an individual subject and includes an "external_sensor" section, where each row is formatted as: "number | 100 samples of ECG, 1 sample of respiration."

The respiratory task begins when the first "1" appears in the "stimulus" file. Note that the fNIRS recording starts with a 0.6-second delay, so this should be considered in your processing. The sampling frequency of fNIRS is 10 Hz, but to determine the sampling frequencies of ECG and respiration, divide the total duration by the number of samples. The sampling frequency should be approximately 6.61 Hz for respiration and 661 Hz for ECG.

ECG is recorded using a standard lead I configuration with the AD8232 bio-potential sensor, and respiration is recorded with a chest band.

Please note that some R peaks in the ECG data are corrupted due to sensor movement and noise. Therefore, complex peak detection and correction methods are required for accurate HRV extraction.
DOI: 10.6084/m9.figshare.11604045.v1
title: Characterization of bio-oil and bio-char obtained from black cumin seed by hydrothermal liquefaction: investigation of potential as an energy source

description: In this study, black cumin seed cake was converted to liquid and solid products with catalyst (Al<sub>2</sub>O<sub>3</sub>, Ca(OH)<sub>2</sub>, SnCl<sub>4</sub>.5H<sub>2</sub>O) and without catalyst at 300°C, 325°C, and 350°C by using the hydrothermal liquefaction method. The obtained products were analyzed by GC-MS, FT-IR, SEM, elemental analysis, and the <sup>1</sup>H NMR method. The highest light bio-oil yield was determined as 3.18% at 350°C with the catalyst SnCl<sub>4</sub>.5H<sub>2</sub>O and the highest heavy bio-oil yield was found to be 37.37% at 300°C with the catalyst Al<sub>2</sub>O<sub>3</sub>. According to the results of the elemental analysis, the energy values of the liquid products (Light, Heavy bio-oil) varied between 21.87 and 31.78 Mjkg<sup>−1</sup> and the energy values of the solid products ranged between 16.22 and 18.28 Mjkg<sup>−1</sup>. In the GC-MS analysis of the liquid products gained at 300°C and 350°C, a large number of different compounds, generally composed of monoaromatic, aliphatic, polyaromatic, and oxygenated compounds, were obtained.
DOI: 10.6084/m9.figshare.12480344.v3
title: Chen F et al 2020 QSR-Holocene Tibetan Plateau review-Data

description: Data of a review of Holocene climate change, vegetation history, and landscape responses on the Tibetan Plateau. Stacks of climate change, glacier activity, eolian activity and vegetation change, and pollen-based temperature and precipitation reconstructions for some specific lakes are included. Original reference: Chen F. et al., 2020. Climate change, vegetation history, and landscape responses in the Tibetan Plateau during the Holocene: a comprehensive review. Quaternary Science Reviews. (under review)
DOI: 10.6084/m9.figshare.27379233.v2
title: Cronbach's alpha Dundee OSCE checklist v ASSESS 2012-2018.xlsx

description: Comparison of Cronbach's alpha for Dundee Medical School OSCEs, checklist v ASSESS domain grading 2012-2018<br>
DOI: 10.17632/wcb4bxbyxx
title: IndicDialogue Dataset

description: The IndicDialogue dataset contains raw subtitle SRT files and dialogues extracted from them. The subtitles are in 10 indic languages, namely Hindi, Bengali, Marathi, Telugu, Tamil, Urdu, Odia, Sindhi, Nepali and Assamese. This dataset provides a corpus for performing various NLP tasks in low-resource languages using SLMs(Small Language Models) and LLMs(Large Language Models).
DOI: 10.17632/wjy3d4cff2
title: Parasocial identification and the impact on travel intentions

description: Respondents were selected on the basis of having watched at least one of the eight seasons (without missing an episode), on the assumption that the viewers of long-running TV shows will have experienced some degree of parasocial identification. Data was analysed with PLS-SEM.
DOI: 10.17632/ywf2329h8m
title: papaya

description: **Data Description:**

The dataset contains over 500 images of Carica papaya, categorized as either "good" or "bad". These images were captured using a Realme 11x Next Era smartphone camera, ensuring consistent image quality and resolution. Each image features a single Carica papaya fruit against a white background, with the data collection process conducted under natural daylight conditions for optimal illumination.

**Key Features:**

1. **Image Variation:** The dataset encompasses a diverse range of Carica papaya fruits, capturing variations in size, shape, color, ripeness, and overall condition. This variability is crucial for training robust classification models capable of accurately distinguishing between good and bad fruits.

2. **Annotation:** Each image in the dataset is annotated to indicate whether the Carica papaya fruit is categorized as "good" or "bad". These annotations provide ground truth labels for supervised learning algorithms, facilitating the development of accurate classification models.

3. **Consistent Background:** To ensure uniformity and minimize distractions, all images feature a white background. This consistent background simplifies preprocessing and enables the focus to remain solely on the visual attributes of the Carica papaya fruits.

4. **Daylight Conditions:** The data collection process was conducted under natural daylight conditions to ensure consistent illumination across all images. Natural light enhances the visibility of fruit features and minimizes lighting variations, contributing to the authenticity and quality of the dataset.

5. **High-Quality Images:** Images captured with the Realme 11x Next Era smartphone camera exhibit high resolution and clarity, enabling detailed analysis of fruit characteristics. The quality of the images facilitates precise feature extraction, essential for accurate classification.

6. **Large Dataset Size:** With over 500 images, the dataset provides a significant volume of data for model training and validation. A larger dataset enhances model generalization and reduces the risk of overfitting, leading to improved classification performance on unseen data.

**Potential Applications:**

1. **Automated Fruit Classification:** The dataset can be used to develop machine learning models capable of automatically classifying Carica papaya fruits as "good" or "bad" based on their visual characteristics. Such models can assist in quality assessment and sorting processes in agriculture or food industries.

2. **Fruit Quality Control:** By analyzing fruit condition through automated classification, farmers and producers can monitor the quality of Carica papaya fruits and detect potential defects or ripeness issues early. Timely interventions can then be implemented to optimize fruit yield and quality.
DOI: 10.6084/m9.figshare.18517028.v1
title: Table S1

description: The timing of the public health social measures implemented in response to COVID-19 in different locations/ countries including mainland China, Hong Kong, Taiwan, South Korea, Singapore, Japan, Italy, Germany, the United Kingdom (UK), and the United States of America (USA) specifically during 2020. These PHSMs are classified into case-based, community-wide, and travel-based control measures
DOI: 10.6084/m9.figshare.22635025.v2
title: Data from figures in "An accurate aging clock developed from very large gut microbiome and human gene expression datasets reveal molecular associations for aging"

description: Data underlying the figures in the paper "An accurate aging clock developed from very large gut microbiome and human gene expression datasets reveal molecular associations for aging". <br> A ".xlsx" file and a directory containing the individual ".csv" files is provided. <br> The names of tabs/files corresponds to the figure from the paper that makes use of that data.
DOI: 10.6084/m9.figshare.29115317.v1
title: dataset FFP.xlsx

description: This data describes the quality of fat filled powder
DOI: 10.6084/m9.figshare.5471836.v1
title: 16S rRNA dataset from PHACE

description: Raw sequence data from soils collected during the PHACE experiment just east of Cheyenne, WY.<br>
DOI: 10.6084/m9.figshare.7011014.v8
title: a-Synuclein MD simulations:WT

description: Molecular dynamics simulations of a-Synuclein amyloids, WT<br>
DOI: 10.6084/m9.figshare.27299922.v1
title: <b>Assessment of the virulence and biocontrol potential of entomopathogenic nematodes against soil-dwelling stages of the small hive beetle</b>

description: We conducted comprehensive laboratory experiments to evaluate the biocontrol potential of 32 Australian strains of five EPN species (<i>Heterorhabditis bacteriophora</i>, <i>H. indica</i>, <i>H. zealandica</i>, <i>Steinernema carpocapsae</i> and <i>S. feltiae</i>) against SHB. In a glasshouse experiment, the efficacy of nine EPN strains were tested in soil mesocosms that simulated field conditions.
DOI: 10.6084/m9.figshare.4806544.v4
title: MD simulations of P-glycoprotein started from three different crystal strucures: 3G5U, 4M1M and 4KSB

description: Molecular simulations of mouse P-glycoprotein started from three different crystal structures with PDB IDs corresponding to 3G5U, 4KSB and 4M1M. The protein was transferred to POPC/cholesterol bilayer, followed by energy minimization and 10 ns equilibration period. All the simulations were performed in Gromacs 3.3.3 in conjunction with GROMOS54a7 force field at 300 K and pressure of 1 bar. Each system was run in triplicates for 200 ns. <br><br>The uploaded fileset contains:<br> - MD protocol used to run simulations for 3G5U, 4M1M and 4KSB systems; <br><br> - Example input file for a production run for each system (3G5U_run1.mdp, 4M1M_run1.mdp, 4KSB_run1.mdp);<br><br> - System topologies (3G5U_memb.top, 4M1M_memb.top, 4KSB_memb.top) and relevant parameter files (3g5u.itp, 4m1m.itp, 4ksb.itp, CLR.itp, POPC.itp, vdw_OML_CH3L.itp); <br> <br> - Set of three trajectories containing membrane-embedded P-glycoprotein with 1000 frames for each simulated system (snapshots printed every 200 ps);<br><br> - Movies generated from each trajectory with a more detailed description provided in <i>Movie_Legends.pdf</i>;<br><br> - Model data calculated using principal component analysis method, including the covariance matrices, for each replica (<i>3G5U1-3.eda.npz, 4KSB1-3.eda.npz, 4M1M1-3.eda.npz</i>) and for the concatenated trajectory containing all 9 replicas (<i>3G5U_4KSB_4M1M.eda.npz</i>). The files containing data for the transmembrane domain only have the <i>tmd </i>prefix. These models can be further explored in ProDy package by using <i>loadModel() </i>function. <br><br> - Figures representing cholesterol distributions in the upper (dark violet) and lower leaflets (light violet) in all three systems at the beginning and at the end of each simulation.<br><br><br> <br><br><br>
DOI: 10.17632/45gjt9hths
title: dataset of Han River Basin, South Korea

description: Multiple monitoring station dataset of the Han River Basin(.csv) and source code of the optimized Random Forest(.py).
DOI: 10.17632/f2bsc93zgz
title: fMRI first level dataset- Brain responses to aircraft flyover noise masked by music with different sound to noise ratio 

description: Dataset is the first-level result acquired through MatLab with SPM12 toolbox using general linear model. Each folder corresponds to the result of one subject (21 in all) in one session (4 in all). Dataset can be further produced for second-level analysis through SMP12.
DOI: 10.17632/gyxswz63r6
title: Euthanasia AND GPs AND Nursing

description: This study aims to explore GPs' perceptions of the roles and competencies of nurses during the euthanasia process. The research question addressed is: "What are GPs' views on the roles and competencies of nurses in euthanasia?"
DOI: 10.6084/m9.figshare.26325133.v1
title: An Empirical Investigation of Open Access Scholarly Publishing Trends in Social Sciences at High-Ranked Central Universities of India. Research data.xlsx

description: This study aims to analyze the adoption of Open Access (OA) publishing in social sciences within central universities in India, focusing on various aspects such as the growth of OA literature, the utilization of different OA routes, and collaboration patterns in OA publications.Ten central universities were selected based on their rankings in the National Institute Ranking Framework (NIRF) 2022. Data on OA publishing in social sciences were collected from the Social Science Citation Index of the Web of Science database using the advanced search query "(CU=India OR AD=India) AND PY=(2003-2022) NOT PY=(2023)". Data analysis was conducted using MS Excel (v16.0), BibExcel (version - 2017), Biblioshiny (version 4.1.2), and Google Open Refine (version 3.7).
DOI: 10.6084/m9.figshare.29091080.v1
title: Source data of <b>Nanotwinned CrN ceramics</b> <b>with enhanced plasticity</b> published in nature communications.

description: Ceramic materials are usually hard but brittle, and it is challenging to achieve a simultaneous enhancement of strength and plasticity using conventional strengthening methods. In ceramic materials with similar atomic size and properties, the fabrication of nanotwins is a promising approach to enhance the plasticity, but it is unknown whether the strategy works for transition metal nitrides. Herein, nanotwinned CrN (NT-CrN) with a twin density of 9.0 × 10<sup>15</sup> m<sup>-2</sup> and twin-containing grain volume fraction of about 52 % is prepared by adjusting the ion kinetic energy during growth. Owing to the twin boundaries, NT-CrN exhibits high hardness (&gt;36 GPa) and enhanced room-temperature plasticity at the same time. Compression deformation of over 40% without brittle failure is achieved. The enhanced room-temperature plasticity is attributed to the distributions of nanotwin boundaries (nano-TB) which allow special slipping by twisting the polyhedron constructed by nano-TB without bond breakage. The accompanying twin proliferation and fusion subsequently dissipate the energy to enhance the plasticity.
DOI: 10.17632/c4rn7mtfrf
title: Energy Prediction

description: Dataset Name: PV Yield Forecasting Data Set Data Format: The dataset is provided in CSV format, consisting of time-stamped records. Features: Time Series Data: Date and time stamps for each record, ranging from 1990 Jan to 2014 Dec. PV Output Readings: Measurements of Photovoltaic output in kWh. Environmental Factors: Includes solar irradiance, temperature, humidity, and cloud cover. Processed Features: Data columns processed for XGBoost and LSTM models, including seasonal components. Time Range and Frequency: Data spans from 1990 to 2014, with hourly recording frequency. Pre-processing and Cleaning: The dataset has been pre-processed for anomalies and missing values, and features have been selected and cleaned for optimal model input. Purpose: This data is used to develop and test a novel forecasting framework combining XGBoost, time series decomposition, and LSTM for both short and long-term solar yield predictions. Performance Metrics: Includes columns for prediction accuracy, nRMSE values for the developed framework, and comparison with benchmark models. Comparative Model Data: Results from LSTM, FRNN, NNE, and other models for comparative analysis. Dataset Size and Scope: Contains approximately [X million] records, covering various geographical locations and types of PV plants. Additional Notes: This dataset is part of a comprehensive study aiming to enhance the integration of PV plant output with the main power grid, as detailed in our research paper.
DOI: 10.17632/h46rm5592c
title: Supplementary material

description: Supplementary material
DOI: 10.26188/29115701.v1
title: <b>Population structure, gene flow and genetic diversity of sheep blowfly (</b><b><i>Lucilia cuprina dorsalis</i></b><b>) in Australia</b>

description: Description of the data and file structureWe collected 2,034 <i>Lucilia cuprina dorsalis</i> individuals among 86 populations from sheep-grazing regions across the continent. Each fly was genetically characterised at 20,000 loci using DArTseq, a reduced complexity genome sequencing strategy.<b> </b>SNP genotypes, silicoDArT genotypes, and respective metadata of<i> Lucilia cuprina dorsalis</i> genotypes.The data file contains comprehensive genotypic information for 2034<i> Lucilia cuprina dorsalis</i>, including 26,277 SNP and 26,277 silicoDArT marker scores, corresponding marker sequences, and associated metadata.
DOI: 10.6084/m9.figshare.10308224.v1
title: Annual values of ensemble mean for 150 municipalities of Ontario

description: In this directory, there are 208 csv files for 4 RCPs. There are 52 files for the 4 basic variables (mean, minimum and maximum temperature, and precipitation; 12 monthly averages and 1 annual average) under each RCP.<br>In each file, there are 121 columns (RCPs,Region Name [here it is municipal name], and Var_1[year of 1981], Var_2[year of 1982],...,Var_119[2099]), and 151 rows (row 1: head, 150 rows 150 cities). Each row represents one city indicated by regName.
DOI: 10.6084/m9.figshare.11394780
title: GRF_COP_ML_PRO_right

description: This file is structured as a matrix with N rows x M columns. Each row holds the data of one subject and trial. The first column identifies each subject "SUBJECT_ID", the second column each recording session "SESSION_ID", and the third column each single trial within a recording session "TRIAL_ID".