A collection of tropical storms in the Atlantic and East Pacific Oceans from 2000 to 2019 with corresponding maximum sustained surface wind speed. This dataset is split into training and test categories for the purpose of a competition [Read more about the competition].
Dataset ID | nasa_tropical_storm_competition |
DOI | 10.34911/rdnt.xs53up |
Creator | NASA Interagency Implementation and Advanced Concepts Team (IMPACT) |
Contact | manil.maskey@nasa.gov |
How to use the Radiant MLHub API to browse and download the NASA Tropical Storm Wind Speed Competition Data Kevin Booth
How to Use Deep Learning to Predict Tropical Storm Wind Speeds - Benchmark Tammy Glazer
Meet the Winners of Wind-Dependent Variables: Predict Wind Speeds of Tropical Storms Tammy Glazer
M. Maskey, R. Ramachandran, I. Gurung, B. Freitag, M. Ramasubramanian, J. Miller"Tropical Cyclone Wind Estimation Competition Dataset", Version 1.0, Radiant MLHub. [Date Accessed] https://doi.org/10.34911/rdnt.xs53up
from radiant_mlhub import Dataset ds = Dataset.fetch('nasa_tropical_storm_competition') for c in ds.collections: print(c.id)
Description | Training Data for the NASA Tropical Storm Wind Speed Competition |
License | CC-BY-4.0 |
Collection ID | nasa_tropical_storm_competition_train_source |
Download | |
Description | Training Data for the NASA Tropical Storm Wind Speed Competition |
License | CC-BY-4.0 |
Collection ID | nasa_tropical_storm_competition_test_source |
Download | |
Description | Training Data for the NASA Tropical Storm Wind Speed Competition |
License | CC-BY-4.0 |
Collection ID | nasa_tropical_storm_competition_train_labels |
Download | |
Description | Training Data for the NASA Tropical Storm Wind Speed Competition |
License | CC-BY-4.0 |
Collection ID | nasa_tropical_storm_competition_test_labels |
Download | |