cff-version: 1.2.0
abstract: "<p>&nbsp;</p><p>Machine learning model for predicting salt concentrations in the Rhine-Meuse delta.</p><p>The folder 'Data'&nbsp;contains processed data, identical to 'Features.csv'&nbsp;in the raw dataset.</p><p>The folder 'Models' contains an ensemble of LSTM models created with the script 'LSTMv1.py'.</p><p>The script 'preprocessing.py' was used to convert the raw data to the daily data in 'Features.csv'.</p>"
authors:
  - family-names: Wullems
    given-names: Bas
  - family-names: Brauer
    given-names: Claudia
    orcid: "https://orcid.org/0000-0002-6459-9230"
  - family-names: Weerts
    given-names: Albrecht
    orcid: "https://orcid.org/0000-0002-3249-8363"
  - family-names: Baart
    given-names: Fedor
title: "Code underlying the publication: Forecasting estuarine salt intrusion in the Rhine-Meuse delta using an LSTM model"
keywords:
version: 3
identifiers:
  - type: doi
    value: 10.4121/21946724.v3
license: CC0
date-released: 2023-12-05