Published May 13, 2024 | Version v1
Dataset Open

Dataset for the Global Prediction Of Total Organic Carbon In Marine Sediments Using Deep Neural Networks (nn-toc)

  • 1. ROR icon GEOMAR Helmholtz Centre for Ocean Research Kiel
  • 2. ROR icon Marum
  • 3. University of Kiel

Description

The data folder contains the raw features and labels used for training machine learning models to predict total organic carbon in marine sediments. 

The data folder has three subfolders:

  1. raw : contains the labels, features and other data used to train the machine learnign models
  2. interim : transformed data, which has to be reproduced
  3. output : output from the models, used for analysis and visualisation

The data folder has to be integrated in the Git repository nn-toc, to execute the code.

 

 

Files

data.zip

Files (25.6 GB)

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md5:2eb23f6f62b81c000f252a0d87614b43
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