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391 to 400 of 1,688 Results

synflexup2.png Jul 3, 2024 - Replication Data for: Accuracy and sensitivity of NH3 measurements using the Dräger Tube Method PNG Image - 103.4 KB - SHA-256: 08bffd2a47635df34849b8109a7064c475e840697e9c8594ee0884f21596e246
synflexup3.csv Jul 3, 2024 - Replication Data for: Accuracy and sensitivity of NH3 measurements using the Dräger Tube Method Comma Separated Values - 733.1 KB - SHA-256: 62138b1b98f6006372d3065c51e168832accd71ab0b9f7a93aae09900269c73d
synflexup3.png Jul 3, 2024 - Replication Data for: Accuracy and sensitivity of NH3 measurements using the Dräger Tube Method PNG Image - 101.6 KB - SHA-256: 97c39521378666ec9add7cd7414212cdbfbf888c07c31b723ccd3e07c091679c
synflexup3.png Jul 3, 2024 - Replication Data for: Accuracy and sensitivity of NH3 measurements using the Dräger Tube Method PNG Image - 60.8 KB - SHA-256: b878a128e370959ccff4dd4f8cce88d77c4f0cc1e2ba18e03b8acd2a5f4cafd1
times.xlsx Jul 3, 2024 - Replication Data for: Accuracy and sensitivity of NH3 measurements using the Dräger Tube Method MS Excel Spreadsheet - 12.5 KB - SHA-256: 50a334aa3a10aea6875c87b1f66fda79ee5f22da1d254df4106fde46252cec00
Experimental FZJ ParFlow DE06 hydrologic forecasts May 14, 2024 Belleflamme, Alexandre; Hammoudeh, Suad; Görgen, Klaus; Kollet, Stefan, 2024, "Experimental FZJ ParFlow DE06 hydrologic forecasts", https://doi.org/10.26165/JUELICH-DATA/GROHKP, Jülich DATA, V1 The dataset entails experimental ParFlow hydrologic model forecast simulations by BELLEFLAMME, HAMMOUDEH, GOERGEN, and KOLLET. The basic setup and configuration is described in "Belleflamme et al. (2023): Hydrological forecasting at impact scale: the integrated ParFlow hydrologic...
Convection-permitting ICON-LAM Simulations for Renewable Energy Potential Estimates over Southern Africa Mar 20, 2024 Chen, Shuying; Poll, Stefan; Hendricks Franssen, Harrie-Jan; Heinrichs, Heidi; Vereecken, Harry; Goergen, Klaus, 2024, "Convection-permitting ICON-LAM Simulations for Renewable Energy Potential Estimates over Southern Africa", https://doi.org/10.26165/JUELICH-DATA/JYGQ65, Jülich DATA, V1 This regional atmospheric modelling dataset was produced by a dynamical downscaling setup, the ICOsahedral Nonhydrostatic (ICON) Numerical Weather Prediction (ICON-NWP) model v2.6.4 was run in limited area mode (ICON-LAM) with a weather forecast configuration (ICON-D2) from the G...
Simulation of CSDs for Automated Tuning Solutions (SimCATS) Feb 27, 2024 Hader, Fabian; Fleitmann, Sarah; Fuchs, Fabian, 2024, "Simulation of CSDs for Automated Tuning Solutions (SimCATS)", https://doi.org/10.26165/JUELICH-DATA/QIUWRZ, Jülich DATA, V1 Simulation of CSDs for Automated Tuning Solutions (SimCATS) is a Python framework for simulating charge stability diagrams (CSDs) typically measured during the tuning process of qubits. Source code: https://github.com/f-hader/SimCATS Documentation: https://simcats.readthedocs.io/...
A tool to migrate sensor metadata from ODM1 to an API-driven sensor-management system Jan 22, 2024 Loup, Ulrich; Sorg, Jürgen; Kunkel, Ralf, 2024, "A tool to migrate sensor metadata from ODM1 to an API-driven sensor-management system", https://doi.org/10.26165/JUELICH-DATA/BJPRZK, Jülich DATA, V1 The observation-data model (ODM) is a relational data model combining observation data and the corresponding metadata. The migration tool extracts the metadata and inserts it into a management tool for sensor and device data using API calls. The tool is implemented in Python and...
Regional climate scenarios with the coupled TSMP in the context of HI-CAM and the WCRP EURO-CORDEX initiative Dec 15, 2023 Poshyvailo-Strube, Liubov; Wagner, Niklas; Goergen, Klaus; Furusho-Percot, Carina; Hartick, Carl; Kollet, Stefan, 2023, "Regional climate scenarios with the coupled TSMP in the context of HI-CAM and the WCRP EURO-CORDEX initiative", https://doi.org/10.26165/JUELICH-DATA/9S3V5K, Jülich DATA, V1 This regional climate scenario dataset was produced with the Terrestrial Systems Modelling Platform (TSMP, https://github.com/HPSCTerrSys/TSMP). TSMP features a closed terrestrial water cycle from groundwater across the land surface into the atmosphere with a sophisticated treatm...

synflexup2.png

Jul 3, 2024 - Replication Data for: Accuracy and sensitivity of NH3 measurements using the Dräger Tube Method

PNG Image - 103.4 KB - SHA-256: 08bffd2a47635df34849b8109a7064c475e840697e9c8594ee0884f21596e246

synflexup3.csv

Jul 3, 2024 - Replication Data for: Accuracy and sensitivity of NH3 measurements using the Dräger Tube Method

Comma Separated Values - 733.1 KB - SHA-256: 62138b1b98f6006372d3065c51e168832accd71ab0b9f7a93aae09900269c73d

synflexup3.png

Jul 3, 2024 - Replication Data for: Accuracy and sensitivity of NH3 measurements using the Dräger Tube Method

PNG Image - 101.6 KB - SHA-256: 97c39521378666ec9add7cd7414212cdbfbf888c07c31b723ccd3e07c091679c

synflexup3.png

Jul 3, 2024 - Replication Data for: Accuracy and sensitivity of NH3 measurements using the Dräger Tube Method

PNG Image - 60.8 KB - SHA-256: b878a128e370959ccff4dd4f8cce88d77c4f0cc1e2ba18e03b8acd2a5f4cafd1

times.xlsx

Jul 3, 2024 - Replication Data for: Accuracy and sensitivity of NH3 measurements using the Dräger Tube Method

MS Excel Spreadsheet - 12.5 KB - SHA-256: 50a334aa3a10aea6875c87b1f66fda79ee5f22da1d254df4106fde46252cec00

Experimental FZJ ParFlow DE06 hydrologic forecasts

May 14, 2024

Belleflamme, Alexandre; Hammoudeh, Suad; Görgen, Klaus; Kollet, Stefan, 2024, "Experimental FZJ ParFlow DE06 hydrologic forecasts", https://doi.org/10.26165/JUELICH-DATA/GROHKP, Jülich DATA, V1

The dataset entails experimental ParFlow hydrologic model forecast simulations by BELLEFLAMME, HAMMOUDEH, GOERGEN, and KOLLET. The basic setup and configuration is described in "Belleflamme et al. (2023): Hydrological forecasting at impact scale: the integrated ParFlow hydrologic...

Convection-permitting ICON-LAM Simulations for Renewable Energy Potential Estimates over Southern Africa

Mar 20, 2024

Chen, Shuying; Poll, Stefan; Hendricks Franssen, Harrie-Jan; Heinrichs, Heidi; Vereecken, Harry; Goergen, Klaus, 2024, "Convection-permitting ICON-LAM Simulations for Renewable Energy Potential Estimates over Southern Africa", https://doi.org/10.26165/JUELICH-DATA/JYGQ65, Jülich DATA, V1

This regional atmospheric modelling dataset was produced by a dynamical downscaling setup, the ICOsahedral Nonhydrostatic (ICON) Numerical Weather Prediction (ICON-NWP) model v2.6.4 was run in limited area mode (ICON-LAM) with a weather forecast configuration (ICON-D2) from the G...

Simulation of CSDs for Automated Tuning Solutions (SimCATS)

Feb 27, 2024

Hader, Fabian; Fleitmann, Sarah; Fuchs, Fabian, 2024, "Simulation of CSDs for Automated Tuning Solutions (SimCATS)", https://doi.org/10.26165/JUELICH-DATA/QIUWRZ, Jülich DATA, V1

Simulation of CSDs for Automated Tuning Solutions (SimCATS) is a Python framework for simulating charge stability diagrams (CSDs) typically measured during the tuning process of qubits. Source code: https://github.com/f-hader/SimCATS Documentation: https://simcats.readthedocs.io/...

A tool to migrate sensor metadata from ODM1 to an API-driven sensor-management system

Jan 22, 2024

Loup, Ulrich; Sorg, Jürgen; Kunkel, Ralf, 2024, "A tool to migrate sensor metadata from ODM1 to an API-driven sensor-management system", https://doi.org/10.26165/JUELICH-DATA/BJPRZK, Jülich DATA, V1

The observation-data model (ODM) is a relational data model combining observation data and the corresponding metadata. The migration tool extracts the metadata and inserts it into a management tool for sensor and device data using API calls. The tool is implemented in Python and...

Regional climate scenarios with the coupled TSMP in the context of HI-CAM and the WCRP EURO-CORDEX initiative

Dec 15, 2023

Poshyvailo-Strube, Liubov; Wagner, Niklas; Goergen, Klaus; Furusho-Percot, Carina; Hartick, Carl; Kollet, Stefan, 2023, "Regional climate scenarios with the coupled TSMP in the context of HI-CAM and the WCRP EURO-CORDEX initiative", https://doi.org/10.26165/JUELICH-DATA/9S3V5K, Jülich DATA, V1

This regional climate scenario dataset was produced with the Terrestrial Systems Modelling Platform (TSMP, https://github.com/HPSCTerrSys/TSMP). TSMP features a closed terrestrial water cycle from groundwater across the land surface into the atmosphere with a sophisticated treatm...

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