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The BSC Dataverse is the institutional research data repository of the Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS). It seeks to enable the storage, sharing, and search of research data coming from the BSC researchers, collaborators, and affiliated projects.

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41 to 50 of 107 Results

CA-EN_Parallel_Corpus Nov 3, 2025 - Language Technologies Laboratory De Luca Fornaciari, Francesca; Villegas, Marta; Melero, Maite; Mash, Audrey, 2025, "CA-EN_Parallel_Corpus", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/ERUHKY, BSC Dataverse, V2 The CA-EN Parallel Corpus is a Catalan-English textual dataset of parallel sentences created to support Catalan in NLP tasks, specifically Machine Translation. The dataset can be used to train Bilingual Machine Translation models between English and Catalan in any direction, as well as Multilingual Machine Translation models.
Replication Data for: Beyond the Link: Assessing LLMs’ Ability to Classify Political Content Across Global Media Oct 30, 2025 - COMPASS - COMplex Political And Social Simulations DE LA FUENTE CUESTA, ALEJANDRO; Alberto Martínez Serra; Nienke Visscher; Cardenal, Ana S., 2025, "Replication Data for: Beyond the Link: Assessing LLMs’ Ability to Classify Political Content Across Global Media", https://doi.org/10.82201/8UPPY6, BSC Dataverse, V2, UNF:6:j4VEdzl/g0wp+AX0/Pik1w== [fileUNF] This dataset and replication package accompany the paper: “Beyond the Link: Assessing LLMs’ Ability to Classify Political Content Across Global Media.” by Alejandro De La Fuente-Cuesta, Alberto Martínez-Serra, R. Nienke Visscher, and Ana S. Cardenal (2025). The materials include the data and code necessary to reproduce all analyses presented in the...
RES Users' Conference 2025(Barcelona Supercomputing Center) Oct 27, 2025Red Española de Supercomputación Posters presented in JURES25 at Pamplona.
BSC Dataverse - Introduction and organization Oct 27, 2025 - Research Data Management Jené Cortada, Aina; Saiz Antón, José Javier; Checchia Adell, Paula; Gómez-Cortés, Felipe; Carrascosa, Adrian, 2025, "BSC Dataverse - Introduction and organization", https://doi.org/10.82201/FHX4RX, BSC Dataverse, V1 This dataset provides the support material for the BSC Dataverse training session. The session introduces participants to the BSC Dataverse platform, explains who can use it, and guides them through its structure, workflows, and best practices. It also presents real-world use cases from current BSC Dataverse users. The material helps both users and...
Red Española de Supercomputación Oct 23, 2025
COMPASS - COMplex Political And Social Simulations(BSC) Oct 22, 2025Computational Social Sciences & Humanities Dataverse We develop agent-based social simulations to understand how complex systems of political communication evolve at scale, revealing patterns of opinion dynamics, polarization and collective behavior. At the individual level, we use methods from natural language processing in AI psychometrics to study value systems and other psychological traits that...
Machine learning models for 3D complex shape analysis and classification on the NEBD+ dataset Oct 17, 2025 - Computational Archaeology Berganzo-Besga, Iban, 2025, "Machine learning models for 3D complex shape analysis and classification on the NEBD+ dataset", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/J0HVTR, BSC Dataverse, V1, UNF:6:GSgdAZ4nevEX2NwRGqdJfQ== [fileUNF] This dataset presents diverse models trained using machine learning (ML) like traditional architectures for geometric morphometrics (GMM) such as scikit-learn GBM, KNN, LDA, RF and SVM, more advance ones like XGBoost GBM, and deep learning architectures such as MLP, TabPFN and MeshCNN. The models were trained on the NEBD+ dataset.
NEBD+: Enhanced Northern European Barley Dataset for 3D complex shape analysis and classification. Oct 17, 2025 - Computational Archaeology Berganzo-Besga, Iban; Livarda, Alexandra; Aliende Garcia, Paloma; Wallace, Michael; Orengo, Hector A., 2025, "NEBD+: Enhanced Northern European Barley Dataset for 3D complex shape analysis and classification.", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/ETUHIO, BSC Dataverse, V1, UNF:6:tg5jUfTY6pD8q18Yc/9EDA== [fileUNF] This datasheet describes a new dataset for the tasks of 3D complex shape analysis and classification. The dataset consists of 697 barley grains, grouped into the following categories: six-row Bere (Bere-R6), six-row Scandinavian (Scand-R6), two-row non-Scottish British (Brit-R2), and two-row (non-Bere) Scottish (Scot-R2), all of Orkney and Western...
Earth Sciences – DOI Datasets Oct 16, 2025Earth Sciences
Ensemble of historical simulations at 10km resolution with IFS-NEMO [Cycle 2 of the Climate DT] - member r4 Oct 3, 2025 - Earth Sciences Marc Batlle Martín, 2025, "Ensemble of historical simulations at 10km resolution with IFS-NEMO [Cycle 2 of the Climate DT] - member r4", https://doi.org/10.82201/OUCRUQ, BSC Dataverse, V1 This ensemble of 3 historical simulations for the 1990-2014 period has been produced with a 10-km global configuration of IFS-NEMO, the Climate Digital Twin for climate adaptation developed under the Destination Earth initiative of the European Union. This configuration corresponds to the second cycle of the Climate Digital Twin.

CA-EN_Parallel_Corpus

Nov 3, 2025 - Language Technologies Laboratory

De Luca Fornaciari, Francesca; Villegas, Marta; Melero, Maite; Mash, Audrey, 2025, "CA-EN_Parallel_Corpus", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/ERUHKY, BSC Dataverse, V2

The CA-EN Parallel Corpus is a Catalan-English textual dataset of parallel sentences created to support Catalan in NLP tasks, specifically Machine Translation. The dataset can be used to train Bilingual Machine Translation models between English and Catalan in any direction, as well as Multilingual Machine Translation models.

Replication Data for: Beyond the Link: Assessing LLMs’ Ability to Classify Political Content Across Global Media

Oct 30, 2025 - COMPASS - COMplex Political And Social Simulations

DE LA FUENTE CUESTA, ALEJANDRO; Alberto Martínez Serra; Nienke Visscher; Cardenal, Ana S., 2025, "Replication Data for: Beyond the Link: Assessing LLMs’ Ability to Classify Political Content Across Global Media", https://doi.org/10.82201/8UPPY6, BSC Dataverse, V2, UNF:6:j4VEdzl/g0wp+AX0/Pik1w== [fileUNF]

This dataset and replication package accompany the paper: “Beyond the Link: Assessing LLMs’ Ability to Classify Political Content Across Global Media.” by Alejandro De La Fuente-Cuesta, Alberto Martínez-Serra, R. Nienke Visscher, and Ana S. Cardenal (2025). The materials include the data and code necessary to reproduce all analyses presented in the...

RES Users' Conference 2025(Barcelona Supercomputing Center)

Oct 27, 2025Red Española de Supercomputación

Posters presented in JURES25 at Pamplona.

BSC Dataverse - Introduction and organization

Oct 27, 2025 - Research Data Management

Jené Cortada, Aina; Saiz Antón, José Javier; Checchia Adell, Paula; Gómez-Cortés, Felipe; Carrascosa, Adrian, 2025, "BSC Dataverse - Introduction and organization", https://doi.org/10.82201/FHX4RX, BSC Dataverse, V1

This dataset provides the support material for the BSC Dataverse training session. The session introduces participants to the BSC Dataverse platform, explains who can use it, and guides them through its structure, workflows, and best practices. It also presents real-world use cases from current BSC Dataverse users. The material helps both users and...

Red Española de Supercomputación

Oct 23, 2025

COMPASS - COMplex Political And Social Simulations(BSC)

Oct 22, 2025Computational Social Sciences & Humanities Dataverse

We develop agent-based social simulations to understand how complex systems of political communication evolve at scale, revealing patterns of opinion dynamics, polarization and collective behavior. At the individual level, we use methods from natural language processing in AI psychometrics to study value systems and other psychological traits that...

Machine learning models for 3D complex shape analysis and classification on the NEBD+ dataset

Oct 17, 2025 - Computational Archaeology

Berganzo-Besga, Iban, 2025, "Machine learning models for 3D complex shape analysis and classification on the NEBD+ dataset", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/J0HVTR, BSC Dataverse, V1, UNF:6:GSgdAZ4nevEX2NwRGqdJfQ== [fileUNF]

This dataset presents diverse models trained using machine learning (ML) like traditional architectures for geometric morphometrics (GMM) such as scikit-learn GBM, KNN, LDA, RF and SVM, more advance ones like XGBoost GBM, and deep learning architectures such as MLP, TabPFN and MeshCNN. The models were trained on the NEBD+ dataset.

NEBD+: Enhanced Northern European Barley Dataset for 3D complex shape analysis and classification.

Oct 17, 2025 - Computational Archaeology

Berganzo-Besga, Iban; Livarda, Alexandra; Aliende Garcia, Paloma; Wallace, Michael; Orengo, Hector A., 2025, "NEBD+: Enhanced Northern European Barley Dataset for 3D complex shape analysis and classification.", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/ETUHIO, BSC Dataverse, V1, UNF:6:tg5jUfTY6pD8q18Yc/9EDA== [fileUNF]

This datasheet describes a new dataset for the tasks of 3D complex shape analysis and classification. The dataset consists of 697 barley grains, grouped into the following categories: six-row Bere (Bere-R6), six-row Scandinavian (Scand-R6), two-row non-Scottish British (Brit-R2), and two-row (non-Bere) Scottish (Scot-R2), all of Orkney and Western...

Earth Sciences – DOI Datasets

Oct 16, 2025Earth Sciences

Ensemble of historical simulations at 10km resolution with IFS-NEMO [Cycle 2 of the Climate DT] - member r4

Oct 3, 2025 - Earth Sciences

Marc Batlle Martín, 2025, "Ensemble of historical simulations at 10km resolution with IFS-NEMO [Cycle 2 of the Climate DT] - member r4", https://doi.org/10.82201/OUCRUQ, BSC Dataverse, V1

This ensemble of 3 historical simulations for the 1990-2014 period has been produced with a 10-km global configuration of IFS-NEMO, the Climate Digital Twin for climate adaptation developed under the Destination Earth initiative of the European Union. This configuration corresponds to the second cycle of the Climate Digital Twin.

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