1 to 10 of 48 Results
Dec 19, 2025 - Earth Sciences – DOI Datasets
de Oliveira, Kevin; Guevara, Marc; Kuenen, Jeroen; Jorba, Oriol; Pérez García-Pando, Carlos; Denier van der Gon, Hugo, 2025, "Dataset: A Comprehensive NMVOC Speciation Database for European Atmospheric Modelling", https://doi.org/10.82201/VOFRCL, BSC Dataverse, V1
This dataset provides a compilation of speciated non-methane volatile organic compound (NMVOC) emissions, prioritising European-specific data consistent with present-day technologies, fuels, and regulations. It covers all anthropogenic emission sources reported by European countries. The current database version includes 130 speciation profiles and... |
Dec 18, 2025 - Earth Sciences
TENA, CARLES, 2025, "HERMES_Delta_Benchmark", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/3ST00L, BSC Dataverse, V1, UNF:6:0CkkgO/NzBrMxb80GP/NDQ== [fileUNF]
HERMES_Delta Benchmark data |
Dec 10, 2025 - Earth Sciences – DOI Datasets
COSTA SUROS, MONTSERRAT, 2025, "Replication Data for: Implementation of Primary and Secondary Ice Production in EC-Earth3-AerChem: Global Impacts and Insights", https://doi.org/10.82201/PDFPMF, BSC Dataverse, V1
These data were used for the analysis presented in the publication cited below; see the Methods section in the article for details. The model data were created using EC-Earth3-AerChem. We conducted five main experiments, each spanning 12 years (2009–2020) under present-day climate conditions. Each experiment applied a different ice nucleation param... |
Dec 1, 2025 - 2025 - Research Data Management for Advanced Users
Jené Cortada, Aina, 2025, "Additional Materials", https://doi.org/10.82201/GGV2I3, BSC Dataverse, V1
In this document you can find a pdf with additional information to all the sessions in the training course Research Data Management for Advanced Users in 2025. |
Dec 1, 2025 - 2025 - Research Data Management for Advanced Users
Tonello, Nadia, 2025, "Welcome and training overview", https://doi.org/10.82201/AJLVM8, BSC Dataverse, V1
This presentation is the introduction to the Research Data Management for Advanced Users training course. It defines the objectives of this training and clarifies the prerequisites. |
Dec 1, 2025 - 2025 - Research Data Management for Advanced Users
Portell-Silva, Laura, 2025, "Clinical Data Management", https://doi.org/10.82201/2Y0WQG, BSC Dataverse, V1
This presentation focus on clinical data and its complexity and value, requiring strong standards and governance. The key takeaway is the necessity of RDM and adherence to FAIR principles. The presentation highlights the European Health Data Space (EHDS) as a critical legislative step to enable the secure, cross-border use of health data for resear... |
Dec 1, 2025 - 2025 - Research Data Management for Advanced Users
Alba Garcia Mostazo; María Bilabo, 2025, "Privacy: A fundamental right", https://doi.org/10.82201/CYYQ3V, BSC Dataverse, V1
This presentation provides an essential guide to data privacy, focusing on the General Data Protection Regulation (GDPR) as the primary legal framework in the EU. It establishes privacy as a fundamental right and explains the core legal concepts every user should know, such as defining personal data and distinguishing between a Data Controller and... |
Dec 1, 2025 - 2025 - Research Data Management for Advanced Users
Nadir Mitjans Tresànchez, 2025, "Intellectual Property Rights and Licenses", https://doi.org/10.82201/XJYHZ3, BSC Dataverse, V1
his presentation explains Intellectual Property (IP) and how to protect your research, focusing on Patents, Copyright, Trademarks, and Trade Secrets. The main message is that Patents protect your new technical method (if it solves a problem), while Copyright protects the actual code. It also covers how to legally share your work using licenses (lik... |
Dec 1, 2025 - 2025 - Research Data Management for Advanced Users
Castro Xum, Cristian Gustavo, 2025, "Sensitive Data: Encryption and Anonymization", https://doi.org/10.82201/8O4EGT, BSC Dataverse, V1
This presentation explains you how to keep private information safe. The main point is to clearly explain the difference between Anonymization (truly hiding identity) and Pseudonymization (using a fake ID). It shows researchers how to use tools like encryption and strong security rules to protect sensitive data and meet GDPR privacy requirements. |
Dec 1, 2025 - 2025 - Research Data Management for Advanced Users
Fernando López; Tonello, Nadia, 2025, "Security Measures", https://doi.org/10.82201/D7DLLF, BSC Dataverse, V1
This presentation on security measures explains the essential rules for protecting research data and electronic services. It focuses on the National Security Framework (ENS), which tells public organizations how to keep information confidential, available, and safe. It shows that security is based on a risk level (Basic, Medium, or High). |
