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

401 to 410 of 21,003 Results
fermi-hubbard-exact-timeseries.tar.xz
Jan 14, 2026 - Replication Data for: Capturing reduced-order quantum many-body dynamics out of equilibrium via neural ordinary differential equations
XZ Archive - 21.8 GB - MD5: ab2b96115cbe56ad9e62e68817465dbc
Data
parameter-scan-neural-ode-test-metrics.tar.xz
Jan 14, 2026 - Replication Data for: Capturing reduced-order quantum many-body dynamics out of equilibrium via neural ordinary differential equations
XZ Archive - 19.8 GB - MD5: 33fa430dde57de840921078969bd7bfe
Data
Optimization of magnetoelectric composites using convolutional neural networks - scripts and dataset
Dec 22, 2025 - PN 3-5
Sriram, Siddharth, 2025, "Optimization of magnetoelectric composites using convolutional neural networks - scripts and dataset", https://doi.org/10.18419/DARUS-5623, DaRUS, V1
This repository is intended to host the supplementary material (dataset and scripts) associated with the article “Optimization of magnetoelectric composites using convolutional neural networks”. The HDF5 file 'Microstructure_data.h5' contains the dataset of microstructural images and their effective properties of interest, computed using the finite...
Effective_piezo-coefficients_training-from-scratch.tar.xz
Dec 22, 2025 - Optimization of magnetoelectric composites using convolutional neural networks - scripts and dataset
XZ Archive - 148.7 MB - MD5: c555cdad857f4f12fe4e0d1e45d240e2
Effective_piezo-coefficients_transfer-learning_fine-tuning.tar.xz
Dec 22, 2025 - Optimization of magnetoelectric composites using convolutional neural networks - scripts and dataset
XZ Archive - 348.6 MB - MD5: 5b39acde422e7818b0c656216ec98703
Effective_remnant_polarization.tar.xz
Dec 22, 2025 - Optimization of magnetoelectric composites using convolutional neural networks - scripts and dataset
XZ Archive - 148.6 MB - MD5: 1bdeaee6b04b9457f166deea6022a6c6
Explainability_analysis.tar.xz
Dec 22, 2025 - Optimization of magnetoelectric composites using convolutional neural networks - scripts and dataset
XZ Archive - 148.5 MB - MD5: e442e1be178be052b48cbee3b7c7804c
Microstructure_data.h5
Dec 22, 2025 - Optimization of magnetoelectric composites using convolutional neural networks - scripts and dataset
Hierarchical Data Format - 972.1 MB - MD5: a37eb6a8912e2e90c95b46854487dee4
README.pdf
Dec 22, 2025 - Optimization of magnetoelectric composites using convolutional neural networks - scripts and dataset
Adobe PDF - 77.2 KB - MD5: d4c60b8e903ce04c1ce240c8abea5747
Replication Data for: "BSP k-Means"
Dec 11, 2025 - PN 6-4
Künzel, Sebastian; Weiskopf, Daniel, 2025, "Replication Data for: "BSP k-Means"", https://doi.org/10.18419/DARUS-5575, DaRUS, V1
This dataset contains reference implementations in C++ and CUDA for the algorithm presented in the paper "BSP k-Means". The purpose of the data is to allow replication of the reported results.
Add Data

Log in to create a dataverse or add a dataset.

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.