cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/hcyg643sym.1
title: A comprehensive methodology for the optimization of condition-based maintenance in power transformer fleets

description: Title: A comprehensive methodology for the optimization of condition-based maintenance in power transformer fleets
Version: 1.0
Date of Release: 07/02/2022
Identifier: 10.17632/hcyg643sym.1

Associated publication: D.A. Zaldivar, A. Sanchez, A.A. Romero, "A comprehensive methodology for the optimization of condition-based maintenance in power transformer fleets." 

This directory contains the following datasets and supplementary materials:
Matlab Codes:
Algoritmo_Tesis_Final2.m : Main code of the methodology
Matlab FIS Codes:
Furanos6.fis : Fuzzy inference system file containing the inference rules and membership functions for the determination of the DP value.
Indice_salud_DPTesis.fis: Fuzzy inference system file containing the inference rules and membership functions for the determination of the health index for power transformers evaluated using IEEE standards.
Indice_salud_DPTesisIEC2.fis: Fuzzy inference system file containing the inference rules and membership functions for the determination of the health index for power transformers evaluated using IEC standards.
Tranformadores.xlsx: Excel file containing the information of the 58 power transformer units necessary for the calculation of the health index, importance index and maintenance strategies.
DOI: 10.17632/hcyg643sym.2
title: A comprehensive methodology for the optimization of condition-based maintenance in power transformer fleets

description: Title: A comprehensive methodology for the optimization of condition-based maintenance in power transformer fleets
Version: 1.0
Date of Release: 07/02/2022
Identifier: 10.17632/hcyg643sym.1

Associated publication: D.A. Zaldivar, A. Sanchez, A.A. Romero, "A comprehensive methodology for the optimization of condition-based maintenance in power transformer fleets." 

This directory contains the following datasets and supplementary materials:
Explenation of all steps to calculate HI, II ,Risk and solve markov chains
Matlab Codes:
Algoritmo_Tesis_Final2.m : Main code of the methodology
Matlab FIS Codes:
Furanos6.fis : Fuzzy inference system file containing the inference rules and membership functions for the determination of the DP value.
Indice_salud_DPTesis.fis: Fuzzy inference system file containing the inference rules and membership functions for the determination of the health index for power transformers evaluated using IEEE standards.
Indice_salud_DPTesisIEC2.fis: Fuzzy inference system file containing the inference rules and membership functions for the determination of the health index for power transformers evaluated using IEC standards.
Tranformadores.xlsx: Excel file containing the information of the 58 power transformer units necessary for the calculation of the health index, importance index and maintenance strategies.
DOI: 10.17632/39bb2vh37n.2
title: Metadata in fecundity gene polymorphism for Ethiopian sheep

description: The current study was done to to identify whether there is fecundity gene polymorphism or not in indigenous sheep and its association with litter size. The dataset has three parts. Metadata _file 1; it contains genotype data generated from  five locus linked to fecundify gene mutation in Ethiopian indigenous sheep for polymorphism analysis. Metadata File2: It contains genotype data, litter size data in parity 1 and parity2 for litter size and genotype association analysis. High genetic diversity and strong association with litters size were observed in the current study which will used us a baseline information to design cost effective and sustainable genetic improvement program for commercialization. This information will be used for the specialists who is working in animal genetics and breeders and animal science to repeat the study in other species in the same country/location or same species in different location.  The data could also be integrated with other related genotype data generated for comparative analysis between and or within  breeds or species.
DOI: 10.17632/6hvwtnfk8v.7
title: Herramienta Digital para la Simulación y Análisis de la Radiación Solar en Edificios (HD-SARSE)

description: Esta herramienta digital consiste en un archivo con extensión ".gh", ejecutable en el software Rhinoceros3D (Rhino). El mismo resulta practicable en Grasshopper, permitiendo realizar simulaciones y análisis de la radiación solar en geometrías importadas o creadas en el canvas de Rhino. Para más información sobre este archivo consultar enlaces relacionados.
DOI: 10.17632/x3vhp8t6hg.3
title: Vibration and Motor Current Dataset of Rolling Element Bearing Under Varying Speed Conditions for Fault Diagnosis: Part 2

description: Rolling element bearing utilized for the wind turbine, electric vehicles are often operated under varying speed conditions other than constant speed due to external wind or load variations. It is very difficult to diagnose a rolling element bearing under varying speed conditions because changing the rotational speed means that the fault-related features are variable. To solve this problem, a lot of data are needed, however, rolling element bearing under time-varying speed conditions is difficult to secure a large amount of data due to the complexity of experimental setups. Therefore, many datasets for diagnosing rolling element bearing under constant speed conditions have been distributed, but there is no dataset under variable speed conditions. This article discloses vibration and motor current data for bearing faults under varying speed conditions from 680 RPM to 2460 RPM. Dataset are acquired using four ceramic shear ICP-based accelerometers, three current transformers (CT), and one laser-based tachometer with SIEMENS and National Instruments (NI) data acquisition (DAQ) board. The bearing conditions include healthy bearing, bearings with inner race faults, and bearings with outer race faults. For each faulty bearing condition, the three-phase induction motor is operated under randomly varying speed conditions. The speed information can extract from not only motor current data but also the tachometer. This data can be used for research that can diagnose under varying speed conditions where time-frequency analysis cannot be performed because of the frequency changes.




---- Description of vibration file format ----
Vibration data file contains five columns namely ‘Time Stamp’, ‘x_direction_housing_A’, ‘y_direction_housing_A’, ‘x_direction_housing_B’, and ‘y_direction_housing_B’. The unit of the vibration is ‘gravitational constant (g)’. 

vibration_aaaa_bbbb.csv : This file is "bbbb"-th vibration data includes rotating speed data of the condition of "aaaa".



---- Description of motor current file format ----
Motor current data file contains five columns namely ‘Time Stamp’, ‘R_phase’, ‘S_phase’, and ‘T_phase’. The unit of the motor current is ‘Ampare (A)’.

current_aaaa_bbbb.csv : This file is "bbbb"-th motor current data includes rotating speed data of the condition of "aaaa".



---- Description of rotating speed file format ----
Rotating speed data file contains two columns namely ‘Time Stamp’, and ‘speed’. The unit of the acoustic is revolutions per minute (RPM)’.

rpm_aaaa_bbbb.csv : This file is "bbbb"-th speed data includes rotating speed data of the condition of "aaaa".


Datasets are divided into three parts because of storage limitations (part1, part2, and part3). For more details, please refer to the "Data in Brief" journal (will be submitted until Aug. 31, 2022).

Contact: Wonho Jung; wonho1456@kaist.ac.kr
DOI: 10.17632/x3vhp8t6hg.4
title: Vibration and Motor Current Dataset of Rolling Element Bearing Under Varying Speed Conditions for Fault Diagnosis: Part 2

description: This article discloses vibration and motor current data for bearing faults under varying speed conditions from 680 RPM to 2460 RPM. The bearing conditions include healthy bearing, bearings with inner race faults, and bearings with outer race faults. For each faulty bearing condition, the three-phase induction motor is operated under randomly varying speed conditions. 




---- Description of vibration file format ----
Vibration data file contains five columns namely ‘Time Stamp’, ‘x_direction_housing_A’, ‘y_direction_housing_A’, ‘x_direction_housing_B’, and ‘y_direction_housing_B’. The unit of the vibration is ‘gravitational constant (g)’. 

vibration_aaaa_bbbb.csv : This file is "bbbb"-th vibration data includes rotating speed data of the condition of "aaaa".



---- Description of motor current file format ----
Motor current data file contains five columns namely ‘Time Stamp’, ‘R_phase’, ‘S_phase’, and ‘T_phase’. The unit of the motor current is ‘Ampare (A)’.

current_aaaa_bbbb.csv : This file is "bbbb"-th motor current data includes rotating speed data of the condition of "aaaa".



---- Description of rotating speed file format ----
Rotating speed data file contains two columns namely ‘Time Stamp’, and ‘speed’. The unit of the acoustic is revolutions per minute (RPM)’.

rpm_aaaa_bbbb.csv : This file is "bbbb"-th speed data includes rotating speed data of the condition of "aaaa".


Datasets are divided into three parts because of storage limitations (part1, part2, and part3). For more details, please refer to the "Data in Brief" journal.


Contact: Wonho Jung; wonho1456@kaist.ac.kr
DOI: 10.17632/5p34dtn6fm.1
title: Supplementary material for: "PANAS: Pipeline and a Case Study to Obtain Synonymous and Nonsynonymous Substitution Rates in Genes of Platyhelminthes" (https://doi.org/10.1654/COPA-D-22-00011)

description: Information on the identifiers of genes and mitochondrial genomes and complementary results obtained from the work entitled "PANAS: Pipeline and a Case Study to Obtain Synonymous and Nonsynonymous Substitution Rates in Genes of Platyhelminthes" published in Comparative Parasitology, 90(1):5-10 (2023) (https://doi.org/10.1654/COPA-D-22-00011). 
The data set, results and pipeline of this work are available in the GitHub repository of PANAS (https://github.com/victorcana/PANAS) and in this Mendeley repository.
DOI: 10.17632/6j85rx62pm.1
title: Teledermatology in Medical Student, Postgraduate Trainee, and Global Dermatology Education: A Systematic Review.

description: Supplemental Materials: PRISMA checklist, Methodological Quality Analysis, and Search Query
DOI: 10.17632/dxfmf64mcd.1
title: Mysterious Interiors

description: The dataset contains three classes (Dark, Pathway and Behind the Partition) for predicting mysteriousness in interior scenes by convolutional neural network (CNN). 
The three categories of this dataset are provided based on the visual analysis of the mysterious scenes. The dataset has been labeled manually and tested by a MobileNet model.
The dataset consists of images featuring darkness (causing mysteriousness), mysterious pathway and views of behind a semitransparent partition. All of the images are collected from pinterest.
DOI: 10.17632/cdbhzm5twf.1
title: Halal Tourism Tweets: Dataset for sentiment Analysis

description: This dataset contains 1,587,808 Halal tourism related tweets from 2006 to 2021. User identification information are removed to maintain data privacy.  The data was collected using the Twitter Academic API. 

The data is stored in as a RDS file (R Programing Language file), where each line represents a tweet. The RDS file provides information on the following fields:
lang: language of the tweet
text: the full content of the tweet
created_at: the publication date of the tweet
location: the country of the author of the tweet
DOI: 10.17632/xpvb7dnzmp.1
title: Code - paper: Good News from Mass Media Induce More Investments in the Equity Crowdfunding Market (BAR)

description: Code - Textual Analysis
DOI: 10.17632/xpvb7dnzmp.2
title: Code - paper: Good News from Mass Media Induce More Investments in the Equity Crowdfunding Market (BAR)

description: Code: Textual Sentiment Analysis (mass media news)
DOI: 10.17632/xpvb7dnzmp.3
title: Code - paper: Good News from Mass Media Induces More Investments in the Equity Crowdfunding Market (BAR)

description: Code: Textual Sentiment Analysis (mass media news)
DOI: 10.17632/n72f7fp8zc.1
title: Data for novel display work

description: Data for novel display work. Publication to follow
DOI: 10.17632/gzryy8dxh9.1
title: High Aspect Ratio Bioprinted Structures

description: These files constitute the dataset for evaluating 3D Bioprinting of high aspect ratio structures. Material rheology data, 3D printing geometric data, and the python code used for generating the plots are shared here.
DOI: 10.17632/39bb2vh37n.1
title: Genotype data from Microsatellite markers on Indigenous Ethiopian sheep

description: Litter size is one of a major economically important reproductive trait in sheep enterprises. The low heritability estimates of reproductive traits indicated high environmental effects that reduce the ability of phenotypic selection for improving such traits. Hence, identifying genes of major effect on litter size and utilizing them in breeding programs will offers the opportunity to improve reproductive efficiency through marker assisted selection. High genetic diversity and strong association with litters size were observed which will used us a baseline information to design cost effective and sustainable genetic improvement program for commercialization.
DOI: 10.17632/j8d8pfkvj2.2
title: Vibration and Motor Current Dataset of Rolling Element Bearing Under Varying Speed Conditions for Fault Diagnosis: Part 3

description: Rolling element bearing utilized for the wind turbine, electric vehicles are often operated under varying speed conditions other than constant speed due to external wind or load variations. It is very difficult to diagnose a rolling element bearing under varying speed conditions because changing the rotational speed means that the fault-related features are variable. To solve this problem, a lot of data are needed, however, rolling element bearing under time-varying speed conditions is difficult to secure a large amount of data due to the complexity of experimental setups. Therefore, many datasets for diagnosing rolling element bearing under constant speed conditions have been distributed, but there is no dataset under variable speed conditions. This article discloses vibration and motor current data for bearing faults under varying speed conditions from 680 RPM to 2460 RPM. Dataset are acquired using four ceramic shear ICP-based accelerometers, three current transformers (CT), and one laser-based tachometer with SIEMENS and National Instruments (NI) data acquisition (DAQ) board. The bearing conditions include healthy bearing, bearings with inner race faults, and bearings with outer race faults. For each faulty bearing condition, the three-phase induction motor is operated under randomly varying speed conditions. The speed information can extract from not only motor current data but also the tachometer. This data can be used for research that can diagnose under varying speed conditions where time-frequency analysis cannot be performed because of the frequency changes.




---- Description of vibration file format ----
Vibration data file contains five columns namely ‘Time Stamp’, ‘x_direction_housing_A’, ‘y_direction_housing_A’, ‘x_direction_housing_B’, and ‘y_direction_housing_B’. The unit of the vibration is ‘gravitational constant (g)’. 

vibration_aaaa_bbbb.csv : This file is "bbbb"-th vibration data includes rotating speed data of the condition of "aaaa".



---- Description of motor current file format ----
Motor current data file contains five columns namely ‘Time Stamp’, ‘R_phase’, ‘S_phase’, and ‘T_phase’. The unit of the motor current is ‘Ampare (A)’.

current_aaaa_bbbb.csv : This file is "bbbb"-th motor current data includes rotating speed data of the condition of "aaaa".



---- Description of rotating speed file format ----
Rotating speed data file contains two columns namely ‘Time Stamp’, and ‘speed’. The unit of the acoustic is revolutions per minute (RPM)’.

rpm_aaaa_bbbb.csv : This file is "bbbb"-th speed data includes rotating speed data of the condition of "aaaa".


Datasets are divided into three parts because of storage limitations (part1, part2, and part3). For more details, please refer to the "Data in Brief" journal (will be submitted until Aug. 31, 2022).
DOI: 10.17632/j8d8pfkvj2.3
title: Vibration and Motor Current Dataset of Rolling Element Bearing Under Varying Speed Conditions for Fault Diagnosis: Part 3

description: Rolling element bearing utilized for the wind turbine, electric vehicles are often operated under varying speed conditions other than constant speed due to external wind or load variations. It is very difficult to diagnose a rolling element bearing under varying speed conditions because changing the rotational speed means that the fault-related features are variable. To solve this problem, a lot of data are needed, however, rolling element bearing under time-varying speed conditions is difficult to secure a large amount of data due to the complexity of experimental setups. Therefore, many datasets for diagnosing rolling element bearing under constant speed conditions have been distributed, but there is no dataset under variable speed conditions. This article discloses vibration and motor current data for bearing faults under varying speed conditions from 680 RPM to 2460 RPM. Dataset are acquired using four ceramic shear ICP-based accelerometers, three current transformers (CT), and one laser-based tachometer with SIEMENS and National Instruments (NI) data acquisition (DAQ) board. The bearing conditions include healthy bearing, bearings with inner race faults, and bearings with outer race faults. For each faulty bearing condition, the three-phase induction motor is operated under randomly varying speed conditions. The speed information can extract from not only motor current data but also the tachometer. This data can be used for research that can diagnose under varying speed conditions where time-frequency analysis cannot be performed because of the frequency changes.




---- Description of vibration file format ----
Vibration data file contains five columns namely ‘Time Stamp’, ‘x_direction_housing_A’, ‘y_direction_housing_A’, ‘x_direction_housing_B’, and ‘y_direction_housing_B’. The unit of the vibration is ‘gravitational constant (g)’. 

vibration_aaaa_bbbb.csv : This file is "bbbb"-th vibration data includes rotating speed data of the condition of "aaaa".



---- Description of motor current file format ----
Motor current data file contains five columns namely ‘Time Stamp’, ‘R_phase’, ‘S_phase’, and ‘T_phase’. The unit of the motor current is ‘Ampare (A)’.

current_aaaa_bbbb.csv : This file is "bbbb"-th motor current data includes rotating speed data of the condition of "aaaa".



---- Description of rotating speed file format ----
Rotating speed data file contains two columns namely ‘Time Stamp’, and ‘speed’. The unit of the acoustic is revolutions per minute (RPM)’.

rpm_aaaa_bbbb.csv : This file is "bbbb"-th speed data includes rotating speed data of the condition of "aaaa".


Datasets are divided into three parts because of storage limitations (part1, part2, and part3). For more details, please refer to the "Data in Brief" journal (will be submitted until Aug. 31, 2022).


Contact: Wonho Jung; wonho1456@kaist.ac.kr
DOI: 10.17632/x3vhp8t6hg.2
title: Vibration and Motor Current Dataset of Rolling Element Bearing Under Varying Speed Conditions for Fault Diagnosis: Part 2

description: Rolling element bearing utilized for the wind turbine, electric vehicles are often operated under varying speed conditions other than constant speed due to external wind or load variations. It is very difficult to diagnose a rolling element bearing under varying speed conditions because changing the rotational speed means that the fault-related features are variable. To solve this problem, a lot of data are needed, however, rolling element bearing under time-varying speed conditions is difficult to secure a large amount of data due to the complexity of experimental setups. Therefore, many datasets for diagnosing rolling element bearing under constant speed conditions have been distributed, but there is no dataset under variable speed conditions. This article discloses vibration and motor current data for bearing faults under varying speed conditions from 680 RPM to 2460 RPM. Dataset are acquired using four ceramic shear ICP-based accelerometers, three current transformers (CT), and one laser-based tachometer with SIEMENS and National Instruments (NI) data acquisition (DAQ) board. The bearing conditions include healthy bearing, bearings with inner race faults, and bearings with outer race faults. For each faulty bearing condition, the three-phase induction motor is operated under randomly varying speed conditions. The speed information can extract from not only motor current data but also the tachometer. This data can be used for research that can diagnose under varying speed conditions where time-frequency analysis cannot be performed because of the frequency changes.




---- Description of vibration file format ----
Vibration data file contains five columns namely ‘Time Stamp’, ‘x_direction_housing_A’, ‘y_direction_housing_A’, ‘x_direction_housing_B’, and ‘y_direction_housing_B’. The unit of the vibration is ‘gravitational constant (g)’. 

vibration_aaaa_bbbb.csv : This file is "bbbb"-th vibration data includes rotating speed data of the condition of "aaaa".



---- Description of motor current file format ----
Motor current data file contains five columns namely ‘Time Stamp’, ‘R_phase’, ‘S_phase’, and ‘T_phase’. The unit of the motor current is ‘Ampare (A)’.

current_aaaa_bbbb.csv : This file is "bbbb"-th motor current data includes rotating speed data of the condition of "aaaa".



---- Description of rotating speed file format ----
Rotating speed data file contains two columns namely ‘Time Stamp’, and ‘speed’. The unit of the acoustic is revolutions per minute (RPM)’.

rpm_aaaa_bbbb.csv : This file is "bbbb"-th speed data includes rotating speed data of the condition of "aaaa".


Datasets are divided into three parts because of storage limitations (part1, part2, and part3). For more details, please refer to the "Data in Brief" journal (will be submitted until Aug. 31, 2022).
DOI: 10.17632/6hvwtnfk8v.4
title: HD-SARSE

description: Herramienta Digital para la Simulación y Análisis de la Radiación Solar en Edificios (HD-SARSE). Esta herramienta digital consiste en un archivo con extensión ".gh", ejecutable en el software Rhinoceros3D (Rhino). El mismo resulta practicable en la extensión Grasshopper, permitiendo realizar simulaciones y análisis de la radiación solar en geometrías importadas o creadas en el canvas de Rhino. Para más información sobre este archivo consultar enlaces relacionados.
DOI: 10.17632/6hvwtnfk8v.5
title: Herramienta Digital para la Simulación y Análisis de la Radiación Solar en Edificios (HD-SARSE)

description: Esta herramienta digital consiste en un archivo con extensión ".gh", ejecutable en el software Rhinoceros3D (Rhino). El mismo resulta practicable en Grasshopper, permitiendo realizar simulaciones y análisis de la radiación solar en geometrías importadas o creadas en el canvas de Rhino. Para más información sobre este archivo consultar enlaces relacionados.
DOI: 10.17632/6hvwtnfk8v.6
title: Herramienta Digital para la Simulación y Análisis de la Radiación Solar en Edificios (HD-SARSE)

description: Esta herramienta digital consiste en un archivo con extensión ".gh", ejecutable en el software Rhinoceros3D (Rhino). El mismo resulta practicable en Grasshopper, permitiendo realizar simulaciones y análisis de la radiación solar en geometrías importadas o creadas en el canvas de Rhino. Para más información sobre este archivo consultar enlaces relacionados.