Random forest regression using autonomous in situ ocean observations: Inferring small-scale variability during a Southern Ocean field experiment - Data
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<bgcArgo_datasetB> BGC-Argo data used for RFR training and validation <goship_dataset_i06_i07> GO-SHIP data for RFR training (I06) and testing (I07) <sogos_float5906030_RFRtest> RFR test errors for the SOGOS float (WMO ID: 5906030) with model G parameters <sogos_glider659_RFRpred> Depth-resolved nitrate estimates for the SOGOS Seagliders (SG659 and SG660), derived using the SOGOS RFR with model G parameters
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Zenodo创建时间：
2024-12-18
