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This study considers 4 experimental raw data and a survery of dataset. Stress-strain relationships of A1 and A2, R1 python file for distribution radar chart of Taguchi as a different variable data, and moment-curvature relationship of A1 were obtained. For the current study the fifth data of S1 was taken from a survey dataset of 500 responses. It is explained how the experimentally obtained raw data, code file of python and survery dataset are uploaded to the RDL platform.
Raw Data Library (2024). Turn your raw data into income: How to prepare and upload your own data. Raw Data Library, 1(1), pp. 1-4, DOI: https://doi.org/10.71008/rdl.preprint.2025.002.
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4 datasets containing 5 research files
Raw Data Library. Turn your raw data into income: How to prepare and upload your own data. Raw data set for Stress-strain relationship of specimen .
Raw Data Library. Turn your raw data into income: How to prepare and upload your own data. Raw data set for Radar chart distribution .
Raw Data Library. Turn your raw data into income: How to prepare and upload your own data. Raw data set for Moment-curvature relationship .
Raw Data Library. Turn your raw data into income: How to prepare and upload your own data. Raw data set for Responses for survey dataset .
Type
Preprint
Year
2024
Authors
1
Datasets
4
Total Files
5
Language
English
Journal
Raw Data Library
DOI
https://doi.org/10.71008/rdl.preprint.2025.002
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