Forecasting of geophysical processes using stochastic and machine learning algorithms: Supplementary material

Supplementary material for the paper entitled "Forecasting of geophysical processes using stochastic and machine learning algorithms"

Identifier
DOI https://doi.org/10.17632/p8sw8pzkcd.3
PID https://nbn-resolving.org/urn:nbn:nl:ui:13-usiy-g6
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:72318
Provenance
Creator Papacharalampous, G
Publisher Data Archiving and Networked Services (DANS)
Contributor Georgia Papacharalampous
Publication Year 2017
Rights info:eu-repo/semantics/openAccess; License: http://creativecommons.org/publicdomain/zero/1.0; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Representation
Resource Type Dataset
Discipline Other