Metrics
1,376,357 Downloads
Contact Share
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

1 to 4 of 4 Results
Waves 2024
Jul 8, 2024
Gizon, Laurent, 2024, "Waves 2024", https://doi.org/10.17617/3.MBE4AA, Edmond, V3
Proceedings of The 16th International Conference on Mathematical and Numerical Aspects of Wave Propagation.
A data-driven estimation of the ribosome drop-off rate in S. cerevisiae reveals a correlation with the genes length.
Mar 26, 2024
Awad, Sherine; Valleriani, Angelo; Chiarugi, Davide, 2024, "A data-driven estimation of the ribosome drop-off rate in S. cerevisiae reveals a correlation with the genes length.", https://doi.org/10.17617/3.H7OPIB, Edmond, V1
Ribofilio is a software package that estimates the drop-off rate of ribosomes. It is a python package that takes as a required input the reference genome and the footprint. If the mRNA reads are available, this can be used as an optional parameter for normalization. The tool uses...
Supplementary material for "Efficient global sensitivity analysis of kinetic Monte Carlo simulations using Cramérs von Mises distance"
Supplementary material for "Efficient global sensitivity analysis of kinetic Monte Carlo simulations using Cramérs von Mises distance"
Aug 24, 2023
Matera, Sebastian, 2023, "Supplementary material for "Efficient global sensitivity analysis of kinetic Monte Carlo simulations using Cramérs von Mises distance"", https://doi.org/10.17617/3.EPRBFA, Edmond, V1
A complementary simple toy problem and sample code and datasets of 1p-kMC simulation results used for the manuscript. For details see the README.me file
Real and Synthetic data for Hypergraph Benchmarking (processed for the Hy-MMSBM generative model)
Jan 11, 2023
Ruggeri, Nicolo, 2023, "Real and Synthetic data for Hypergraph Benchmarking (processed for the Hy-MMSBM generative model)", https://doi.org/10.17617/3.HRW0OE, Edmond, V2
This dataset contains the preprocessed real hypergraph data utilized in the experiments for "Generalized inference of mesoscale structures in higher-order networks", Ruggeri N., Contisciani M., Battiston F., De Bacco C. and synthetic hypergraph data generated for experiments in t...
Add Data

Sign up or log in to create a dataverse or add a dataset.

Sign Up Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.