Repositorio de Datos de la UPM
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

931 to 940 of 1,659 Results
Archivo 7Z - 48,4 KB - MD5: 8be19106afff13e1ca1d34d18c0fe874
Para poder utilizar el contenido es necesario solicitar la password de encriptacion a l.pantoja@upm.es
Dec 19, 2023
Kessler Martín, Jorge; Ríos Sánchez, Belén; Díaz Honrubia, Antonio Jesús, 2023, "Dataset annotated with users' attention for VVC-based video blocks", https://doi.org/10.21950/EQTHZC, e-cienciaDatos, V1
Descripción del proyecto The main objective of the project in which the dataset has been elaborated is to design and implement a video encoder that produces videos that comply with the VVC standard specifications, requiring less computation time (and thus less power consumption), and to obtain a higher compression rate without affecting the subject...
Valores separados por comas - 939,6 MB - MD5: 1dcd55c66613f5cea2b015defba6c4ec
The dataset consists of a single CSV file with a total of 10 variables, 9 of them as input variables for the models that are learnt using the dataset and 1 as a variable to be predicted: 1. pos_row: the relative position (between 0 and 1) of the CTU among all the rows of CTUs. 2. pos_col: the relative position (between 0 and 1) of the CTU among...
Dec 4, 2023
Álvarez Morales, Gonzalo; Ridruejo Rodríguez, Álvaro; Sánchez Montero, Javier; Segurado Escudero, Javier; Andres, Pedro L. de, 2023, "Hydrogen Diffusion in BCC-Fe: DFT study of Tensorial Stress Effects and Interactions with Point Defects", https://doi.org/10.21950/CW20RU, e-cienciaDatos, V1
Descripción del proyecto: Investigación desarrollada dentro del proyecto ADSORBENT (Advanced Modeling Techniques for Hydrogen Embrittlement), un estudio computacional multiescala de los mecanismos que participan en el fenómeno de fragilización por hidrógeno de aleaciones férreas. Descripción del dataset: Data generated by means of DFT calculations...
Archivo ZIP - 2,0 MB - MD5: 56eea5824bca752dcbcbe77617a1b687
Archivo ZIP - 2,1 MB - MD5: cdbfce354d58800b974b5addf4680d22
Archivo ZIP - 42,5 MB - MD5: 6435b60b24a6e4a6f65d349bca382468
Nov 29, 2023
Peco Palacios, Jesús Daniel; Rapoport, Hava; Centeno Muñoz, Ana; Pérez López, David, 2023, "Pear Stone cells", https://doi.org/10.21950/JXDLTN, e-cienciaDatos, V1
Regulated deficit irrigation (RDI) strategies aim to improve water usage without reducing yield. Generally, irrigation strategy effectiveness is measured as fruit yield, with little consideration of fruit quality. As water deficit and increased plant cell sclerification are often associated, this study explored the effect of RDI on pear fruit stone...
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.