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February 8, 2026Scientific Data0 citationsOpen Access

Long-term biodiversity monitoring data from two hydroelectric dam projects in northeast Portugal, 2006–2023

TMTiago MúriasRFRui FigueiraJMJoão Madeira

Key Points

  • The aim is to compile and standardise biodiversity data from hydroelectric dam projects to support ecological research.
  • Compiled 149 datasets collected from 2006 to 2023
  • Utilised standardised field protocols for data collection
  • Implemented data harmonisation to Darwin Core standards
  • Curated records from various institutions and dam operators
  • Published data on the Global Biodiversity Information Facility (GBIF)
  • Compiled a total of 1,989,401 biodiversity records
  • Included occurrence and abundance data for nearly 3,800 taxa
  • Spanned terrestrial and aquatic ecosystems across six biological kingdoms
  • Provided a model for transparent biodiversity data sharing and monitoring

Abstract

This Data Descriptor provides a harmonised biodiversity data compilation derived from 149 datasets collected between 2006 and 2023 during environmental impact assessment and ecological monitoring of two hydroelectric developments in Portugal. The input datasets were collected under standardised field protocols and curated jointly by private consultants, academic institutions and two successive dam operators (EDP and Movhera). Datasets were standardised to Darwin Core and published on the Global Biodiversity Information Facility (GBIF). Their validated records were harmonised across datasets into a single compilation accessible as a citable GBIF occurrence download. Overall, the compiled dataset contains 1,989,401 biodiversity records, including occurrence and abundance data for nearly 3,800 taxa from terrestrial and aquatic ecosystems spanning six biological kingdoms. Here we detail the spatial, temporal and taxonomic coverage of the compilation, the workflow used for data harmonisation and quality control, and the structure of the published files. The dataset supports research on hydropower impacts, long-term biodiversity trends and conservation planning, and illustrates a practical model for transparent biodiversity data sharing by the private sector.

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Cite This Study

Múrias et al. (2026) studied this question.

synapsesocial.com/papers/698828eb0fc35cd7a8848e15https://doi.org/10.1038/s41597-026-06636-2
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