cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/5d7vbdp8f7.4
title: Wind Turbine Blades Fault Diagnosis based on Vibration Dataset Analysis

description: The data collection includes uniaxial vibration measurements of wind turbine induction operating at varying wind speeds. It contains three vibration datasets of wind turbines in a healthy state and three in a problematic one. In addition, the defective circumstances of wind turbines include blade cracks, blade surface degradation, and blade imbalance. There are a total of 35 wind turbine conditions datasets. The dataset was collected at a sampling rate of 1 kHz, with 500 samples per channel.
DOI: 10.17632/nk6byj4kkd
title: Agresividad - satisfacción sexual

description: Datos recolectados sobre agresividad en conductores y satisfacción sexual, analizados en Excel y SPSS, La hipótesis es analizar la agresividad física, verbal o instrumental en conductores y su relación con la satisfacción sexual. 
Los datos fueron recolectados en diferentes grupos de conductores, mediante el Instrumento de Satisfacción Sexual (ISS; Hudson, 1981). La versión española de 25 ítems, así como el Driving Anger Expression Inventory (DAX), la versión adaptada al español (Herrero- Fernández, 2011) compuesta de 53 ítems.
Se ha colocado de acuerdo a la escala siguiendo los puntajes altos en el DAX por cada uno de los cinco modos de expresión de la ira.
DOI: 10.17632/7yw8b5njg4.1
title: piupil-data

description: The effect of strategic self-talk on quiet eye duration and free throw performance in Amateur basketball players

Abstract:
 Previous research has proven the effect of self-talk on the performance of sports skills. On the other hand, the relationship between the length of the quiet eye period on the performance of athletes has been confirmed, however, whether strategic self-talk can affect the length of the quiet eye period has not been investigated, so the purpose of this research is to investigate the effect of strategic self-talk on the duration He had a calm eye and free throw performance in basketball. For this purpose, 40 beginner basketball players with an average age of 23.47 ± 2.52 years voluntarily participated in this study. The participants were randomly divided into two groups of 20 people, strategic self-talk and control. In the pre-test, both groups performed 3 blocks of 10 free throw attempts, and their performance score was measured by Hardy and Parfet's six-value method, and at the same time, the duration of their relaxed eyes and their fixation location were recorded with tracking glasses. Then, the strategic self-talk group was subjected to strategic self-talk intervention for three weeks (the first educational week, the second motivational week, and the third strategic week). During this period of time, the control group did only the free throw exercise. After the intervention, both groups participated in the post-test, which was exactly the same as the pre-test, and their performance and eye movements were recorded.
In this research, 2 x 2 composite analysis (2 groups and two stages) was used, and for a more detailed investigation, Scientex's post hoc method was used using Bonferroni's post hoc test to examine inter-group changes and intra-group changes. . The results of the present study showed that self-talk has a significant effect on increasing the score in basketball free throw performance (P&lt;0.05), increasing the duration of quiet eyes (P&lt;0.05) and improving the pre-cue of goals (P&lt;0.05). He had a basketball while making a free throw.
In general, the results of the present study show that strategic self-talk increases the length of the quiet eye period and increases the fixation location on the basket, as well as improves performance in basketball free throw skills. In this study, the participants were only asked verbally which type of self-talk was used, which is suggested to be determined as a percentage in future studies. It is also suggested that in future research, brain function during self-talk along with eye movement recording Review
DOI: 10.17632/9k7zctdyhs.1
title: 3D scans of plant shoot architectures

description: 559 3D plant shoot architectures from 4 species (Arabidopsis, Tomato, Tobacco, Sorghum), scanned across multiple conditions (ambient light, high-heat, high-light, vegetative shade, drought), and through 20-30 developmental time-points. Visualizations are available at: http://plant3d.snl.salk.edu
DOI: 10.17632/2msdd4j84c.1
title: Free open reference implementation of a two-phase PEM fuel cell model

description: In almost 30 years of PEM fuel cell modeling, countless numerical models have been developed in science and industrial applications, almost none of which have been fully disclosed to the public. There is a large need for standardization and establishing a common ground not only in experimental characterization of fuel cells, but also in the development of simulation codes, to prevent each research group from having to start anew from scratch. Here, we publish the first open standalone implementation of a full-blown, steady-state, non-isothermal two-phase model for low-temperature PEM fuel cells. It is based on macro-homogeneous modeling approaches and implements the most essential through-plane transport processes in a five-layer MEA. The focus is on code simplicity and compactness with only a few hundred lines of clearly readable code, providing a starting point for more complex model development. The model is implemented as a standalone MATLAB function, based on MATLAB’s standard boundary value problem solver. The default simulation setup reflects wide-spread commercially available MEA materials. Operating conditions recommended for automotive applications by the European Commission are used to establish new fuel cell simulation base data, making our program a valuable candidate for model comparison, validation and benchmarking.
DOI: 10.17632/vn5nknh3mn.2
title: ECSMP: A Dataset on Emotion, Cognition, Sleep, and Multi-model Physiological Signals

description: This paper described the collection of multi-modal physiological signals, which include electroencephalography, electrocardiograph (ECG), photoplethysmography, electrodermal activity, temperature, and accelerometer data, recorded from 89 healthy college students during resting state, the emotion induction and recovery, and a set of cognitive function assessment tasks. Emotion, sleep, cognition, depression, mood, and other factors were evaluated through different methods, and were included in this dataset. Six emotions (neutral, fear, sad, happy, anger, and disgust) were induced by movie clips. The cognitive functions such as sustained attention, response inhibition, working memory, and strategy use, were quantitatively measured by Cambridge neuropsychological test automatic battery. The sleep ECG was collected the night before the emotion-induction experiment, and the sleep quality was analysed based on the sleep ECG.  After the experiment, the participants were required to fill in questionnaires to evaluate the emotion regulation strategies, depression score, recent mood, and sleep quality index. The database can not only be directly used for the research of emotion recognition on multi-modal physiological signals, but also can further explore the interactions between emotion, cognition, and sleep.
DOI: 10.17632/bn44y4bjxj.1
title: Data for: Distribution and source appointment of rare earth elements in offshore sediments of Western Xiamen Bay, Southeast China

description: Table S1 Physicochemical parameters of offshore sediments of Western Xiamen Bay. Table S2 Concentrations of REEs in offshore sediments of Western Xiamen Bay. Table S3 Pearson's correlations between REEs concentrations in the soils
DOI: 10.17632/sh72jwth68.1
title: Data for: Machine learning-based leakage fault detection for district heating networks

description: This repository contains three data sets, which can be used to reproduce part of the case study in our paper “Machine learning-based leakage fault detection for district heating networks”. Specifically, Table A and Table B are the data sets used for training and testing the leakage fault detection (LFD) model in Section 4.4 of the paper. Table C presents the raw confusion matrix of the LFD results on the test set in Section 4.4.5 of the paper.
DOI: 10.17632/rpsvy6b23g.1
title: Impact of augmented reality on optometric parameters and fatigue symptoms

description: In this work we assessed if using augmented reality (AR) instructions to guide a manual task, could potentially impact the visual system of operators. A before/after design study was carried out asking participants (N=23) to perform LEGO assemblies for 30 minutes with paper or AR instructions. The effects of using AR (optical see-through) compared to paper instructions were evaluated, on binocular vision with classical optometric measurements, and on visual fatigue with the Virtual Reality Symptoms Questionnaire. This dataset contains two files : 1. Optometric measurements : Raw data for monocular visual acuity, stereoacuity, vertical fixation disparity, vertical phoria, amplitude of fusion, monocular accommodation amplitude. Data are available for the four different blocks, i.e., with AR instructions, paper instructions, before and after. 2. Virtual reality symptoms questionnaire Raw data for the 13 symptoms items Data are available for the four different blocks, i.e., with AR instructions, paper instructions, before and after. For each file, a dataset description is included to explain content and column headings. For most optometric measurements, no clinically significant changes were found for AR and paper instructions, and only negligible fatigue symptoms were found specifically for AR. Results from both objective and subjective measurements suggest that there is no impact of AR on the oculomotor system and that in this specific use case, AR can be safely used for production operators.
DOI: 10.17632/4gz4cj59yh.1
title: medicinal plant

description: The contents of all 25 elements AND the data on WGCNA of Sophora tonkinensis
DOI: 10.17632/hfp8z8gtzy.1
title: Data for: A model for the formation of carbonatite-phoscorite assemblages based on the compositional variations of mica and apatite from the Palabora Carbonatite Complex, South Africa

description: raw (unprocessed) data of EMP analyses.
DOI: 10.17632/pg7xyvs44f.1
title: Unlocking Happiness: The Power of Spiritual Intelligence for Emerging Adults

description: The present empirical investigation has been conducted with the objective of assessing the level of spiritual intelligence and happiness among emerging adults. Furthermore, it was also expected that the variables would be positively correlated and that spiritual intelligence would predict happiness among the population. Hence, standardized measures on spiritual intelligence and subjective happiness were administered to 163 emerging adults from private (deemed-to-be) universities enrolled in different UG and PG courses in psychology. The statistical findings support the proposed hypothesis by revealing positive associations of spiritual intelligence with happiness as correlation values range from (r = 0.26 to r = 0.59; p &lt; .01). It was hypothesized that transcendental awareness and the expansion of the conscious state would positively predict happiness. Multiple regression analyses were used in order to assess the predictive role of the dimensions of spiritual intelligence on subjective happiness. 7% of the variance is contributed by the TA (β = 0.19; F = 12.79; p = .05) towards the prediction of SH, and an additional 3% of the variance has been contributed by CSE (β = 0.18; F = 4.90; p = .05) towards the same. Both predictors contribute 10%; the remaining 90% of the variance could be explained by personal and environmental factors not observed under the present empirical investigation. 
Overall, the findings demonstrate that spiritual intelligence can play a crucial role in promoting happiness, particularly among emerging adults.
DOI: 10.17632/wdgppdhwcv.1
title: Dateset_Active silica diagenesis in the deepest hadal trench sediments

description: It contains porewater DSi and δ30Si, sediment biogeonic SiO2 contents, and 14C ages of TOC from the five cores collected from the southern Mariana Trench.
DOI: 10.17632/x4w9s4p7x8.1
title: Dataset containing visible and near-infrared spectra and physiological variables of grapevine plants (Vitis vinifiera L.)

description: This dataset contains spectra, transpiration and stomatal conductance of three grape varieties, Syrah, Riesling and Merlot, of different ages (Syrah: two years old; Riesling: three years old; Merlot: four years old) treated with two irrigation conditions also called modalities.
Spectra were obtained from hyperspectral images acquired using a hyperspectral camera (Specim, Specim IQ, Finland) covering the spectral range from 400 nm to 1000 nm with 204 spectral bands.
DOI: 10.17632/z6ynns9pdc.1
title: Clayton et al. (2024) Current Biology

description: The source data for Clayton et al. 2024 Current Biology, "Sound elicits stereotyped facial movements that provide a sensitive index of hearing abilities in mice"
DOI: 10.17632/hf4hx7dsmg.1
title: Data for: An Empirical Validation of Daylighting Tools: Assessing Radiance Parameters and Simulation Settings in Ladybug and Honeybee Against Field Measurements

description: The simulated model of the study.
DOI: 10.17632/56fsyrwgc5.1
title: free robux generator no human verification

description: GENSHIN IMPACT PRIMOGEMS HACK ~ GENSHIN IMPACT PRIMOGEMS & CRYSTALS GENERATOR 2021 $$genshin impact hack primogems, genshin impact cheats primogems and crystals, genshin impact hack codes generator without human verification.
DOI: 10.17632/ztbb93w59g.1
title: Dataset for "Effect of Intergranular Precipitate Formation on the Hydrogen Embrittlement Susceptibility of Nickel Base Corrosion Resistant Alloys"

description: Raw and processed mechanical properties data for hydrogen embrittlement (circular notched tensile), hardness, and tensile tests for "Effect of Intergranular Precipitate Formation on the Hydrogen Embrittlement Susceptibility of Nickel Base Corrosion Resistant Alloys" manuscript.
DOI: 10.17632/tk3ds9x7gc.1
title: Bimekizumab efficacy and safety in patients with moderate to severe plaque psoriasis: two-year interim results from the open-label extension of the randomized BE RADIANT phase 3b trial - Supplementary Materials

description: Supplementary Materials for the manuscript titled 'Bimekizumab efficacy and safety in patients with moderate to severe plaque psoriasis: two-year interim results from the open-label extension of the randomized BE RADIANT phase 3b trial'.

Includes demographics and baseline characteristics for the patient groups included in the manuscript (Supplementary Table 1), an overview of the efficacy outcomes included in the manuscript using different imputation methods for missing data (Supplementary Table 2), a patient disposition flow chart (Supplementary Figure 1), PASI ≤2 and PASI 90 response rates over Weeks 0–96 (Supplementary Figure 2 and Supplementary Figure 3), and supplementary methods describing the adjudication of certain treatment-emergent adverse events in this study (Adjudication of TEAEs).
DOI: 10.17632/dmnw3jdsyb.1
title: EDS data

description: This is EDS data for "Burnt Cervidae bones and sedimentary environments at Luotuodun, Jiangsu Province, China: New insights for Neolithic human behavior"
DOI: 10.17632/ygsmh4hyh6.1
title: WannierTools: An open-source software package for novel topological materials

description: We present an open-source software package WannierTools, a tool for investigation of novel topological materials. This code works in the tight-binding framework, which can be generated by another software package Wannier90 (Mostofi et al., 2008). It can help to classify the topological phase of a given material by calculating the Wilson loop, and can get the surface state spectrum, which is detected by angle resolved photoemission (ARPES) and in scanning tunneling microscopy (STM) experiments. It also identifies positions of Weyl/Dirac points and nodal line structures, calculates the Berry phase around a closed momentum loop and Berry curvature in a part of the Brillouin zone (BZ).
DOI: 10.17632/fjdxk3cjps.3
title: Risk factors of progression from discoid lupus to severe systemic lupus erythematosus: a registry-based cohort study of 164 patients.

description: In our article entitled "Risk factors of progression from discoid lupus to severe systemic lupus erythematosus: a registry-based cohort study of 164 patients", we studied risk factors of progression from discoid lupus (DLE) to severe systemic lupus (SLE) and developed a score that could predict this progression. Here, are presented our supplemental data.
Supplementary Table 1 reports a literature review concerning risk factors for progression to SLE in patients with DLE or cutaneous lupus.
Supplementary Figure 1 and 2 present the performance of the score presented in the article among patients with isolated DLE and patients with DLE associated to mild SLE.
DOI: 10.17632/kfngc5jxds.3
title: BelgiumTS - Belgian Traffic Sign Dataset custom version

description: BelgiumTS- Belgian Traffic Sign Dataset custom version, Mendeley Data v1.

We have extended the BelgiumTS - Belgium Traffic Sign Dataset by creating our custom version. During our dataset design, we have noticed that some classes imbalance containing more images than others but, this does not affect the quality of the data. Specifically, our version consists of several images from various traffic signs split into 34 classes with each class containing photos of different signs.
DOI: 10.17632/85t28npyv7.1
title: Data for: Predictive Modeling of Forest Fires: A New Dataset and Machine Learning Approach

description: This Dataset was created based on Remote Sensing data to predict the occurrence of wildfires, it contains Data related to the state of crops (NDVI: Normalized Difference Vegetation Index), meteorological conditions (LST: Land Surface Temperature) as well as the fire indicator “Thermal Anomalies”. All three parameters were collected from MODIS (Moderate Resolution Imaging Spectroradiometer), an instrument carried on board the Terra platform. The collected data went through several preprocessing techniques before building the final Dataset. The experimental Dataset is considered as a case study to illustrate what can be done at larger scales. The Data contains parameters with high influence of wildfires occurrence collected using remote sensing. The Dataset is composed of four columns, the first three columns are NDVI, LST, and Thermal Anomalies and the fourth column represents the corresponding class (fire or no_fire), the Dataset contains 804 rows: 386 instances of the class “fire” and 418 instances of the class “no fire” with 418 rows. Each row contains the collected data and its class. The data were downloaded from the official website of NASA's Land Processes Distributed Active Archive Center (LP DAAC), and then we preprocessed them using multiple preprocessing techniques to remove noises and correct inconsistencies, and finally extracting useful information. The study area is composed of multiple zones located in the center of Canada. The surface of this area is approximately 2 million hectares. These zones differ in their size, burn period, date of burn and extent. We have chosen to apply the experiment in a big region of Canada's forests because it is known for its high rate of wildfires and also for the availability of fire information (start and end fire date, cause of fire and the surface of the burned area in hectares), these information were acquired from The Canadian Wild-land Fire Information System (CWFIS) which creates daily fire weather and fire behavior maps year-round and hot spot maps throughout the forest fire season
DOI: 10.15468/dl.zxz2qe
title: Occurrence Download

description: A dataset containing 862 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pterocarpus indicus Willd.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 862 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009368-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/gk3z8gp7cp.2
title: Questionnaire data on land use change of Industrial Heritage: Insights from Decision-Makers in Shiraz, Iran

description: The survey dataset for identifying Shiraz old silo’s new use which includes four components:
1.	The survey instrument used to collect the data “SurveyInstrument_table.pdf”. The survey instrument contains 18 main closed-ended questions in a table format. Two of these, concern information on Silo’s decision-makers and proposed new use followed up after a short introduction of the questionnaire, and others 16 (each can identify 3 variables) are related to the level of appropriate opinions for ideal intervention in Façade, Openings, Materials and Floor heights of the building in four values: Feasibility, Reversibility, Compatibility and Social Benefits. 
2.	The raw survey data “SurveyData.rar”. This file contains an Excel.xlsx and a SPSS.sav file. The survey data file contains 50 variables (12 for each of the four values separated by colour) and data from each of the 632 respondents. Answering each question in the survey was mandatory, therefor there are no blanks or non-responses in the dataset. In the .sav file, all variables were assigned with numeric type and nominal measurement level. More details about each variable can be found in the Variable View tab of this file. Additional variables were created by grouping or consolidating categories within each survey question for simpler analysis. These variables are listed in the last columns of the .xlsx file. 
3.	The analysed survey data “AnalysedData.rar”. This file contains 6 “SPSS Statistics Output Documents” which demonstrate statistical tests and analysis such as mean, correlation, automatic linear regression, reliability, frequencies, and descriptives. 
4.	The codebook “Codebook.rar”. The detailed SPSS “Codebook.pdf” alongside the simplified codebook as “VariableInformation_table.pdf” provides a comprehensive guide to all 50 variables in the survey data, including numerical codes for survey questions and response options. They serve as valuable resources for understanding the dataset, presenting dictionary information, and providing descriptive statistics, such as counts and percentages for categorical variables.
DOI: 10.17632/6mbzffznr6.1
title: processed data

description: CSV from fnirs raw data
DOI: 10.17632/9nmymvzzp3.1
title: Vico etal_2024_musical stimuli OK

description: Musical stimuli used in Exps 1, 2a and 2b
DOI: 10.17632/h8xrwrmttj.1
title: Raw data of the antisaccade task in healthy volunteers (EEG, eyetracking, vegetatics)

description: The eyetracking dataset consists of raw eyetracking data (EYE1_control) recorded in 30 participants (control group), detailed information of preprocessing and analyses (Methods_control), general information with descriptive table with age, scores of Y-BOCS, STAI-test, Beck test and Barrat test and sheet with subtypes of OCD (General_info_control). The EEG and vegetatics data dataset consists of raw data recorded in 30 participants (EEG_vegetatics_control.rar).

The R-script for reprocessing and analyses of eyetracking data (code_grant.R) both for the control group and for the group with patients with obsessive-compulsive disorder (OCD) can be found here: Khayrullina, Guzal; Liaukovich, Krystsina; Portnova, Galina; Martynova, Olga (2024), “Raw data of the antisaccade task in patients with obsessive-compulsive disorder (EEG, eyetracking, vegetatics)”, Mendeley Data, V1, doi: 10.17632/mvyd3bgjv7.1