Learning the intrinsic dynamics of spatio-temporal processes through Latent Dynamics Networks: dataset

Regazzoni, Francesco; Pagani, Stefano; Salvador, Matteo; Dede', Luca; Quarteroni, Alfio

doi:10.5281/zenodo.10436827

Published December 27, 2023 | Version v1

Dataset Open

Learning the intrinsic dynamics of spatio-temporal processes through Latent Dynamics Networks: dataset

1. Politecnico di Milano
2. Stanford University

This repository contains the data accompanying the paper "Learning the intrinsic dynamics of spatio-temporal processes through Latent Dynamics Networks", by Francesco Regazzoni, Stefano Pagani, Matteo Salvador, Luca Dedè and Alfio Quarteroni.

The associated codes are available in the repository https://github.com/FrancescoRegazzoni/LDNets

Files

data.zip

Files (7.6 GB)

Name	Size	Download all
data.zip md5:18022d6648908efa582750ee6a51ae60	7.6 GB	Preview Download

326

Views

187

Downloads

Show more details

	All versions	This version
Views	326	326
Downloads	187	187
Data volume	1.8 TB	1.8 TB

More info on how stats are collected....

DOI

Resource type

Dataset

Publisher

Zenodo

Published in

Nature Communications, ISSN: 2041-1723, 2023.

License: Creative Commons Attribution 4.0 International

The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more

Technical metadata

Created: December 27, 2023
Modified: December 27, 2023

Learning the intrinsic dynamics of spatio-temporal processes through Latent Dynamics Networks: dataset

Authors/Creators

Description

Files

data.zip

Files (7.6 GB)