Digital Time Series Infrastructure for Environmental Observations
The poster introduces a Digital Time Series Infrastructure for Environmental Observations, a modular, distributed and FAIR ecosystem that enables the transfer, storage, monitoring, access and distribution of sensor‐based environmental data. The platform integrates time‑series management systems such as time.io, sensor management systems such as SMS and O2A Registry, and is built on the OGC SensorThings API enriched with the STAMPLATE Schema for extended metadata. It offers automated and reproducible quality‑control workflows (SAQC), and LLM‑assisted semantic annotation of observable properties via the I‑ADOPT project. Due to the use of OGC Standards the infrastructure also provides visualization and analysis options and supports data discovery and download through the Earth Data Portal as RO‑Crate packages.
Authors
- Christof Lorenz (ORCID: https://orcid.org/0000-0001-5590-5470)
- Roland Koppe (ORCID: https://orcid.org/0000-0002-2826-3932)
- Nils Brinckmann (ORCID: https://orcid.org/0000-0001-8159-3888)
- Ulrich Loup
- Martin Elia Ingenbleek
- Hylke van der Schaaf
- David Schäfer (ORCID: https://orcid.org/0000-0003-4517-6459)
- Claas Faber (ORCID: https://orcid.org/0000-0002-4861-3338)
- Marc Hanisch (ORCID: https://orcid.org/0000-0001-5272-4674)
Institutions
- Karlsruhe Institute of Technology (DE)
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung (DE)
- Helmholtz Centre for Environmental Research (DE)
- Forschungszentrum Jülich (DE)
- GEOMAR Helmholtz Centre for Ocean Research Kiel (DE)
- Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (DE)
- GFZ Helmholtz Centre for Geosciences (DE)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-05-27
- DOI
- https://doi.org/10.5281/zenodo.20287408
- Primary Topic
- Environmental Monitoring and Data Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00