Featured Dataverses

In order to use this feature you must have at least one published 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

31 to 40 of 3,231 Results
Jul 27, 2026
Miranda, Matheus Henrique Rodrigues; Silva, Ludmila Corrêa de Alkmin e, 2026, "Real-world driving cycle and battery state estimation dataset for vehicles", https://doi.org/10.25824/redu/DLYGNY, Repositório de Dados de Pesquisa da Unicamp, V1
This dataset is associated with the doctoral thesis completed in the Program in Mechanical Engineering, titled “An integrated approach to dynamic power management in electrified vehicles based on intelligent battery state estimation and experimental validation”, authored by Mathe...
MATLAB Data - 73.3 KB - MD5: 8e2a6a412425dbab0ed7b033d5f012f3
Adobe PDF - 215.3 KB - MD5: 5d55f8e963f796ae8366159d2f090d3e
Jul 24, 2026
Vicente, Rafael Alcides; Fernández, Pablo Sebastián; Neckel, Itamar Tomio, 2026, "Development of electrochemical cells for in situ spectroelectrochemical analysis employing BCDI and other related techniques", https://doi.org/10.25824/redu/TZ7H0Q, Repositório de Dados de Pesquisa da Unicamp, V1
This research was developed based on the collection and analysis of data related to the development of spectroelectrochemical cells during the PhD of Rafael Vicente, supervised by Professor Pablo Fernández and Professor Itamar Neckel. The data were obtained through a combination...
Jul 23, 2026
Andrade Júnior, Antonio César de; Santos Filho, José Cândido Silveira, 2026, "Data generated by windowed odometry", https://doi.org/10.25824/redu/HAQWZR, Repositório de Dados de Pesquisa da Unicamp, V1
Data generated by sliding window odometry using the v4.py code hosted in the GitHub repository. The data are organized by trajectory as follows: POSE – estimated poses from each experiment; RE – rotational errors; ATE – translational errors; TIMES – odometry runtime. Naming conve...
ZIP Archive - 127.2 MB - MD5: efd28a0530e2ddcafe4188a231befe60
Python Source Code - 29.7 KB - MD5: 85f115c70ab4ec9ba282d9cdd47421af
Add Data

Log in to create a dataverse or add a dataset.

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.