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Institute of Climate and Energy Systems (ICE) – Jülich Systems Analysis (ICE-2) (Forschungszentrum Jülich)
The dataverse of the Institute of Climate and Energy Systems (ICE) – Jülich Systems Analysis (ICE-2)
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121 to 130 of 316 Results
SEDOS Model Structure
Feb 2, 2026
Reveron Baecker, Beneharo; Gardian, Hedda; Islam, Anik; Winkler, Jonas; Müller, Gian; Slednev, Viktor; Muschner, Christoph, 2026, "SEDOS Model Structure", https://doi.org/10.26165/JUELICH-DATA/0LMAHO, Jülich DATA, V1
We have developed an open-source model structure that integrates key future technologies relevant to Germany’s energy transition across electricity, heat, conversion processes, transport, and industry. This comprehensive framework supports a sector-coupled energy system outlook e...
Role of extreme events for the acceptance of sustainable heat supply (ExtrA) - Data
Jan 28, 2026
Dr. Stöckigt, Gerrit; Dr. Vögele, Stefan, 2026, "Role of extreme events for the acceptance of sustainable heat supply (ExtrA) - Data", https://doi.org/10.26165/JUELICH-DATA/T16XME, Jülich DATA, V1
In our project "Grassroots movement in the energy transition (ExtrA)", we focus on private heat supply of citizens in Germany. We are going to analyze the acceptance of different energy sources in temporal development by means of representative surveys. The results are to be disc...
quinex models v0
Jan 28, 2026
Göpfert, Jan; Kuckertz, Patrick; Weinand, Jann M.; Pflugradt, Noah; Linßen, Jochen, 2026, "quinex models v0", https://doi.org/10.26165/JUELICH-DATA/SXL75G, Jülich DATA, V1
Transformer models fine-tuned for quantitative information extraction from text
quinex
Jan 28, 2026
Göpfert, Jan; Kuckertz, Patrick; Körner, Celine; Weinand, Jann M.; Pflugradt, Noah; Linßen, Jochen, 2026, "quinex", https://doi.org/10.26165/JUELICH-DATA/MZSJBN, Jülich DATA, V1
quinex (quantitative information extraction) is a Python library for extracting and analyzing quantitative information from text. It is designed to extract quantities, entities, properties and other measurement context from text. Quinex is domain-agnostic and can power a wide ran...
quinex-datasets
Jan 28, 2026
Göpfert, Jan; Kuckertz, Patrick; Weinand, Jann M.; Pflugradt, Noah; Linßen, Jochen, 2026, "quinex-datasets", https://doi.org/10.26165/JUELICH-DATA/PI5O8O, Jülich DATA, V1
Datasets for quantitative information extraction
Wiki-Quantities and Wiki-Measurements: Datasets of Quantities and their Measurement Context from Wikipedia
Jan 26, 2026
Göpfert, Jan; Kuckertz, Patrick; Weinand, Jann M.; Stolten, Detlef, 2026, "Wiki-Quantities and Wiki-Measurements: Datasets of Quantities and their Measurement Context from Wikipedia", https://doi.org/10.26165/JUELICH-DATA/ABTNID, Jülich DATA, V1
The task of extracting quantitative information from text is typically approached in a pipeline manner, where quantities are identified before their individual measurement context is extracted. To support the development and evaluation of systems for measurement extraction, we pr...
Hourly resolved truck flows and rest stops on the German road network
Jan 19, 2026
Jungblut, Edgar, 2026, "Hourly resolved truck flows and rest stops on the German road network", https://doi.org/10.26165/JUELICH-DATA/PVM2Q1, Jülich DATA, V1
The dataset contains: hourly truck traffic flow data Spatio-temporal data on truck break and rest stops on the German road network. Yearly road freight transport data between NUTS-3 regions in Europe was disaggregated spatially and temporally. The spatial resolution for Germany i...
Supplementary material: Model coupling through reproducible adapter workflows based on shared transformation functions
Supplementary material: Model coupling through reproducible adapter workflows based on shared transformation functions
Dec 6, 2025
Kuckertz, Patrick; Benjamin Fuchs; Julian Schönau; Hedda Gardian; Kevin Knosala; Eugenio Arellano Ruiz; Jan Göpfert; Hans Christian Gils; Jann M. Weinand; Patrick Jochem; Jochen Linßen; Detlef Stolten, 2025, "Supplementary material: Model coupling through reproducible adapter workflows based on shared transformation functions", https://doi.org/10.26165/JUELICH-DATA/VLBZIA, Jülich DATA, V1
This supplementary material provides resources supporting the implementation of the refined DataDesc metadata schema and the ioProc workflow manager, described in the article, “Model coupling through reproducible adapter workflows based on shared transformation functions.” It aim...
01_data_processing.ipynb
Jupyter Notebook - 12.7 KB - SHA-256: 6a4db477bba6ae642d268e9cd09467cc36f25a4ebd11f2cda9947558ffdbc868
02_model_calculation.ipynb
Jupyter Notebook - 161.6 KB - SHA-256: f2ed9516e9241dcfd9b2dada4486495f6bdceb75706d997de9de828e3bb6cdd6
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