Edmond

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Edmond – the Open Research Data Repository of the Max Planck Society

Edmond is a research data repository for Max Planck researchers. It is the place to store completed datasets of research data with open access. Edmond serves the publication of research data from all disciplines and offers scientists the ability to create citable research objects.

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1 to 10 of 205,397 Results

adGC2NN_win.exe Jul 18, 2025 - Code and data for 'Improved vapor pressure predictions using group contribution-assisted graph convolutional neural networks (GC2NN)' Windows Executable - 182.2 MB - MD5: da088f6eba8c69fc58c9b4bee119601c Executable model application for Windows
code.zip Jul 18, 2025 - Code and data for 'Improved vapor pressure predictions using group contribution-assisted graph convolutional neural networks (GC2NN)' ZIP Archive - 91.3 KB - MD5: 5613a4d3f5be177c05e84384c7e8dac0 Source code and example script
model_comparison.zip Jul 18, 2025 - Code and data for 'Improved vapor pressure predictions using group contribution-assisted graph convolutional neural networks (GC2NN)' ZIP Archive - 93.4 KB - MD5: 0116a25cff204b0766be334a22a98774 Vapor pressure predictions from other methods for comparison (OHE-CNN, EPI-suite, SIMPOL, EVAPORATION)
preprocessed_data.zip Jul 18, 2025 - Code and data for 'Improved vapor pressure predictions using group contribution-assisted graph convolutional neural networks (GC2NN)' ZIP Archive - 2.1 MB - MD5: ae72f51d8b1c6c03e6242a31db6fab11 Pre-processed input data and test sets
raw_data.zip Jul 18, 2025 - Code and data for 'Improved vapor pressure predictions using group contribution-assisted graph convolutional neural networks (GC2NN)' ZIP Archive - 101.7 KB - MD5: b597682e33826434d232dd24fe08daac Original data sets (Naef, pubchem)
testset_predictions.zip Jul 18, 2025 - Code and data for 'Improved vapor pressure predictions using group contribution-assisted graph convolutional neural networks (GC2NN)' ZIP Archive - 33.1 KB - MD5: b2d2f9f36cb92f06d502f2a2d0f10e05 Test set predictions and errors of final models
EcoWalker_robot_documentation_v0.pdf Jul 18, 2025 - EcoWalker robot setup documentation Adobe PDF - 236.1 MB - MD5: ac376940c0fa172d796434b509cde8dc Setup instructions for the EcoWalker robot setup
SocialContact_VI_20250718.zip Jul 18, 2025 - Assessing the effect of social contact structure on the impact of pneumococcal conjugate vaccines ZIP Archive - 28.0 MB - MD5: cbfc28d44d056ba7d88da717eb62f112 Revision_round1
intensity_24h.mp4 Jul 18, 2025 - Modeling HMI observables for the study of solar oscillations MPEG-4 Video - 189.9 KB - MD5: 06e13e7311635368c7866052f8fc47d2 Movie corresponding to Fig. 8 of the paper showing the time variations of the perturbed continuum intensity over 24 hours.
velocity_24h.mp4 Jul 18, 2025 - Modeling HMI observables for the study of solar oscillations MPEG-4 Video - 284.3 KB - MD5: 5b62da6f1e9261a0759bda21bccdad78 Movie corresponding to Fig. 7 of the paper showing the time variations of the perturbed velocity over 24 hours.

adGC2NN_win.exe

Jul 18, 2025 - Code and data for 'Improved vapor pressure predictions using group contribution-assisted graph convolutional neural networks (GC2NN)'

Windows Executable - 182.2 MB -

Executable model application for Windows

code.zip

Jul 18, 2025 - Code and data for 'Improved vapor pressure predictions using group contribution-assisted graph convolutional neural networks (GC2NN)'

ZIP Archive - 91.3 KB -

Source code and example script

model_comparison.zip

Jul 18, 2025 - Code and data for 'Improved vapor pressure predictions using group contribution-assisted graph convolutional neural networks (GC2NN)'

ZIP Archive - 93.4 KB -

Vapor pressure predictions from other methods for comparison (OHE-CNN, EPI-suite, SIMPOL, EVAPORATION)