Deutsche Nationalbibliothek
metadata only
ETHOS.GeoKit: A Python toolkit for analyzing and altering geospatial data for energy systems modeling and beyond / Shitab Ishmam, Julian Belina, Christoph Winkler, Jann M. Weinand, Noah Pflugradt, Heidi Heinrichs, Jochen Linßen
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Python-Fortran Hybrid Programming to Fuse AI and Physical Models: Examples of AI-LDA in climate and weather models (Hf2pMDA_v1.0)#798177
- Python-Fortran Hybrid Programming to Fuse AI and Physical Models: Examples of AI-LDA in climate and weather models (Hf2pMDA_v1.0)#796764
- Interpretable Data-Driven Methods for Building Energy Modelling—A Review of Critical Connections and Gaps#19942
- Data for "Optimizing error field correction while minimizing peak heat fluxes in SPARC"#1167682
- Geo-electrical data fusion by stochastic co-conditioning simulations for delineating groundwater protection zones#640909
Record · ID 780413
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive