Data · dataset · 2024
Dataset of Physics-informed neural networks for high-resolution weather reconstruction from sparse weather stations
Listed in e-cienciaDatos
Description
Dataset of the article Physics-informed neural networks for high-resolution weather reconstruction from sparse weather stations , recently published in Open Research Europe (DOI 10.12688/openreseurope.17388.1). The code which implements the physics-informed neural network can be found at github.com/AlvaroMS90/PINNs-for-high-resolution-weather-reconstruction-from-sparse-weather-stations. Funded by the European Union under action HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships, call HORIZON-MSCA-2021-PF-01 (project number 101059984 with acronym PERSEVERE).
Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.
Links
Where it is published
- Dataverse dataset page edatos.consorciomadrono.es/dataset.xhtml?persistentId=doi%3A10.5281%2FZENODO.10723261 ↗
landing page · from edatos consorciomadrono es
- DOI doi.org/10.5281/zenodo.10723261 ↗
DOI / persistent id · from edatos consorciomadrono es
Catalogue records · 1
- Dataverse API edatos.consorciomadrono.es/api/datasets/:persistentId/?persistentId=doi%3A10.5281%2FZENOD… ↗
metadata API · from edatos consorciomadrono es
Topics
- From keywords
- Artificial intelligence · Computer Science & AI · Machine learning · Ocean & Atmospheric Science · Physics
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| e-cienciaDatos | doi:10.5281/ZENODO.10723261 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:4602 | mapping · edatos consorciomadrono es | vocabulary-mapper@1.0.0 | keywords['Artificial intelligence'] |
| concepts[field].anzsrc:group:4611 | mapping · edatos consorciomadrono es | vocabulary-mapper@1.0.0 | keywords['Machine learning'] |
| concepts[field].local:field:computer-science-ai | mapping · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 | /subjects |
| concepts[field].local:field:ocean-atmospheric | mapping · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 | /subjects |
| concepts[field].local:field:physics | mapping · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 | /subjects |
| created_date | source · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 | |
| description | source · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 | /description |
| publication_date | source · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 | |
| title | source · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 | /name |
| updated_date | source · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 |