Data

Electrical resistivity dataset for carbon fiber reinforced cementitious composite

The University of Western Australia
DONG, WEI
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.17632/7sf7szmkxz.1&rft.title=Electrical resistivity dataset for carbon fiber reinforced cementitious composite&rft.identifier=10.17632/7sf7szmkxz.1&rft.publisher=Mendeley Data&rft.description=The provided dataset is used to establish machine learning models for electrical resistivity (ER) of carbon fiber reinforced cementitious composite (CFRCC). The ER dataset consists of 602 samples. Samples in the dataset are compiled from published experimental studies. Note: Curing environment in the dataset is a categorical feature, in which 0.5 represents a room environment with 50-65 RH% and 1 represents a fully moist environment (95-100 RH%).&rft.creator=DONG, WEI &rft.date=2022&rft.type=dataset&rft.language=English Access the data
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The provided dataset is used to establish machine learning models for electrical resistivity (ER) of carbon fiber reinforced cementitious composite (CFRCC). The ER dataset consists of 602 samples. Samples in the dataset are compiled from published experimental studies. Note: "Curing environment" in the dataset is a categorical feature, in which 0.5 represents a room environment with 50-65 RH% and 1 represents a fully moist environment (95-100 RH%).

Issued: 2022

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Identifiers
ACN 633 798 857