1 to 10 of 3,573 Results
Mar 6, 2026 - Quantum Materials Matrix Collection
Di Napoli, Edoardo, 2023, "Replication Data for: Advancing the ChASE library through algorithm optimization and multi-level MPI parallelism", https://doi.org/10.26165/JUELICH-DATA/OFQWGZ, Jülich DATA, V2
This dataset includes a set of matrices generated by Condensed Matter simulation software which were used to test the ChASE library in the manuscript bearing the same title as the dataset, and submitted to SC23 conference. Each Hermitian matrix is stored in double precision as a... |
Mar 6, 2026 -
Replication Data for: Advancing the ChASE library through algorithm optimization and multi-level MPI parallelism
Plain Text - 726 B - SHA-256: 65aeddc0a32cb4af5582585e1410193f6325fec7648945e8bcfbe4991052a5b0
Checksums for each matrix in the dataset |
Dec 19, 2024 - Institute of Bio- and Geosciences – Plant Sciences (IBG-2)
Knopf, Oliver; Castro Rivera, Antony Oswaldo; Bendig, Juliane Viktoria; Warstat, Kevin; Pude, Ralf; Poorter, Hendrik; Rascher, Uwe; Muller, Onno, 2023, "Experimental data: Field Phenotyping of Ten Wheat Cultivars under Elevated CO2 Shows Seasonal Differences in Chlorophyll Fluorescence, Plant Height and Vegetation Indices", https://doi.org/10.26165/JUELICH-DATA/QJIY7C, Jülich DATA, V2
The experimental data consist of the LIFT, PhenoCam, UAV, yield and environmental data. |
MS Excel Spreadsheet - 323.4 KB - SHA-256: c296a116bc0f639eebfc48826aaaf920bdca0e19d9adb50fc1edf979494d66a4
Metadata file for Experimental data Dataset |
Feb 21, 2024 - Institute for Advanced Simulation – Computational and Systems Neuroscience (IAS-6)
Zajzon, Barna; Duarte, Barna; Morrison, Abigail, 2023, "Source Code for: Towards reproducible models of sequence learning: replication and analysis of a modular spiking network with reward-based learning", https://doi.org/10.26165/JUELICH-DATA/1T5D1Z, Jülich DATA, V2
Related publication: Barna Zajzon, Renato Duarte, Abigail Morrison, 2023. Towards reproducible models of sequence learning: replication and analysis of a modular spiking network with reward-based learning. fnint.2023.935177; doi: https://doi.org/10.3389/fnint.2023.935177 |
Feb 16, 2024 - Institute for Advanced Simulation – Computational and Systems Neuroscience (IAS-6)
Gutzen, Robin; De Bonis, Giulia; De Luca, Chiara, 2023, "Cobrawap 0.1.0", https://doi.org/10.26165/JUELICH-DATA/NQ4LZC, Jülich DATA, V1
Collaborative Brain Wave Analysis Pipeline (Cobrawap) Release 0.1.0, see https://cobrawap.readthedocs.io Full list of authors and project members: https://cobrawap.readthedocs.io/en/v0.1.0/authors.html |
Feb 16, 2024 - Institute for Advanced Simulation – Computational and Systems Neuroscience (IAS-6)
Köhler, Cristiano André, 2023, "Alpaca 0.2.0", https://doi.org/10.26165/JUELICH-DATA/MO2IVD, Jülich DATA, V1
Alpaca Release 0.2.0, see https://alpaca-prov.readthedocs.io |
Feb 16, 2024 - Institute for Advanced Simulation – Computational and Systems Neuroscience (IAS-6)
Denker, Michael; Köhler, Cristiano; Jurkus, Regimantas; Kern, Moritz; Kurth, Anno Christopher; Kleinjohann, Alexander; Bouss, Peter; Davison, Andrew; Morales-Gregorio, Aitor; Kramer, Maximilian; Ito, Junji, 2023, "Elephant 0.13.0", https://doi.org/10.26165/JUELICH-DATA/USEQEL, Jülich DATA, V1
New functionality and features, Bug fixes , Documentation |
Feb 16, 2024 - Institute for Advanced Simulation – Computational and Systems Neuroscience (IAS-6)
Denker, Michael; Köhler, Cristiano; Kern, Moritz; Kleinjohann, Alexander, 2023, "Elephant 0.14.0", https://doi.org/10.26165/JUELICH-DATA/QRIZGE, Jülich DATA, V1
New Functionality and Features, Bug Fixes, Documentation |
Feb 16, 2024 - Institute for Advanced Simulation – Computational and Systems Neuroscience (IAS-6)
Denker, Michael; Kern, Moritz, 2023, "Elephant 1.0.0", https://doi.org/10.26165/JUELICH-DATA/3JEICN, Jülich DATA, V1
Elephant's first major release is focused on providing a stable and consistent API consistency that will be maintained over the 1.x series of releases. In order to provide future support, this release will remove all features and API specifications that have been deprecated over... |


