Published May 24, 2023 | Version v1
Dataset Open

Dataset of Flow Velocity Prediction in Vegetated Alluvial Channels Comparing Empirical and State-of-the-art Hybrid Machine Learning Models

Authors/Creators

  • 1. Department of Computer Science and Engineering, Indian Institute of Technology Patna, Bihta, India
  • 2. Department of Geography & Planning, School of Environmental Sciences, University of Liverpool, Liverpool, UK
  • 3. Department of Earth and Environment, Florida International University, Miami, USA

Description

We compiled 447 datasets from different sources and lab- and field-based measurements. These datasets included Einstein and Banks (1950), Fenzl (1962), Kouwen et al. (1969), Ree and Crow (1977), Murota (1984), Tsujimoto and Kitamura (1990), Tsujimoto (1991), Tsujimoto (1993), Shimizu (1994), Dunn et al. (1996), Ikeda and Kanazawa (1996), Meijer (1998), Jarvela (2002), Rowinski and Kubrak (2002), Stone and Shen (2002), Poggi et al. (2004), Carollo et al. (2005), and Murphy et al. (2007).

Files

dataset of Flow Velocity Prediction in Vegetated Alluvial Channels Comparing Empirical and State-of-the-art Hybrid Machine Learning Models.zip

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