1 to 10 of 33 Results
Christopher Jäntsch; Marlin Arnz; Thomas Grube; Jochen Linßen, 2026, "Survey on mobility barriers in Germany", https://doi.org/10.26165/JUELICH-DATA/PQ6K7Q, Jülich DATA, V1
This survey concerns subjectively perceived barriers to mobility in Germany. It was conducted from 09.09.2024 to 20.09.2024 and from 06.11.2024 to 12.11.2024 among German residents aged 18 or older. After the conclusion of data collection, the dataset comprised 4718 cases, of whi... |
Feb 3, 2026
Klütz, Theresa; Knosala, Kevin; Behrens, Johannes; Maier, Rachel; Hoffmann, Maximilian; Pflugradt, Noah; Stolten, Detlef, 2026, "ETHOS.FINE: A Framework for Integrated Energy System Assessment", https://doi.org/10.26165/JUELICH-DATA/U2UVX6, Jülich DATA, V1
The ETHOS.FINE python package provides a framework for modeling, optimizing and assessing energy systems. With the provided framework, systems with multiple regions, commodities, time steps and investment periods can be modeled. Target of the optimization is the minimization of t... |
Feb 2, 2026
Pelser, Tristan; Weinand, Jann Michael; Kuckertz, Patrick; Stolten, Detlef, 2026, "ETHOS.REFLOW North Sea Technical Wind Potential Workflow", https://doi.org/10.26165/JUELICH-DATA/OLB7N4, Jülich DATA, V1
REFLOW is a workflow manager tool designed to streamline and automate tasks related to renewable energy potential analyses. It is built with Luigi and provides an automated, robust framework for data acquisition, processing, land/sea eligibility analysis, technology placements, s... |
Feb 2, 2026
Castro, Leyla Jael; Ferenz, Stephan; Hajiabadi, Hamideh; Kuckertz, Patrick; Löbe, Matthias; Schmidt, Christian; Struck, Alexander; Thiery, Florian, 2026, "Results on a Survey on Research Software Metadata in the NFDI Consortia", https://doi.org/10.26165/JUELICH-DATA/DWIS5M, Jülich DATA, V1
This paper presents the results of a survey conducted by the working group on research software metadata within the NFDI (Nationale Forschungsdateninfrastruktur / National Research Data Infrastructure) to gain a better understanding of the requirements and practices for research... |
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... |
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... |
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 |
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... |
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 |
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... |
