Workflow for netCDF replication

Dataset

DOI

Jupyter notebook that serves as a workflow for netCDF replication and creation.

Useful when using the raw data files: can be skipped if directly using the processed files.

Visual studio code, 1.99.1

Python, 3.10.12

Jupyter notebook, 6.4.8

This research project explores how sustainable buildings, such as Maison en Terre and the BBC Room (a low-consumption building), can contribute to thermal comfort and energy efficiency, both located in Saint-Martin d'Hères, Grenoble, France. It also has another aspect of sustainability by installing sensors around small buildings, therefore proposing concrete and exploitable data to students and projects. All datasets can be used by researchers, students, and ecological innovation projects.

Identifier
DOI	https://doi.org/10.57745/VDGW93
Metadata Access	https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.57745/VDGW93

Provenance
Creator	Blaise, Marine
Publisher	Recherche Data Gouv
Contributor	Voisin, Didier; Oxarango, Laurent; Daudon, Dominique; Blaise, Marine; Michaud, Geneviève; Tarhini, Ali; Observatoire des Sciences de l'Univers de Grenoble; Institut des Géosciences de Grenoble; Sols, solides, structures, risques; Institut des Sciences de l'Univers; Entrepôt Recherche Data Gouv
Publication Year	2025
Funding Reference	Grenoble INP https://ror.org/05sbt2524
Rights	info:eu-repo/semantics/openAccess
OpenAccess	true
Contact	Voisin, Didier (Institut des Géosciences de Grenoble, UGA)

Representation
Resource Type	Workflow; Dataset
Format	application/x-ipynb+json
Size	49591
Version	1.1
Discipline	Geosciences; Earth and Environmental Science; Environmental Research; Natural Sciences
Spatial Coverage	(5.766W, 45.191S, 5.777E, 45.199N); OSUG, Bâtiment D, 122 Rue de la Piscine, 38400 Saint-Martin-d'Hères