Random forest regression using autonomous in situ ocean observations: Inferring small-scale variability during a Southern Ocean field experiment - Data
收藏NIAID Data Ecosystem2026-05-02 收录
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https://zenodo.org/record/14510703
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资源简介：
Depth-resolved nitrate estimates for the SOGOS Seagliders (SG659 and SG660), derived using the SOGOS RFR with model G parameters.
Input data (from GO-SHIP I06 and BGC-Argo floats) used for RFR model training, validation, and testing.
创建时间：
2024-12-21
