The dataset contains records of the Otter (Lutra lutra) collected in the lower valley of River Sabor (NE Portugal), in the scope of the long-term Ecological Monitoring Program (PME) of the Baixo Sabor Hydroelectric Dams (AHBS), promoted by EDP – Energias de Portugal, S.A. This dataset includes results of surveys made in and around the area affected by the dam, from November 2010 to December 2014. Sampling was performed in transects distributed along the lower Sabor river valley (and some tributaries), and along the rivers Maçãs and Angueira, up to 42 km upstream. The presence and identity of the target species were assessed through the presence of faeces (spraints) and/or footprints of the target species.

Air temperature data for aquatic site Power Station Reservoir on the Daugava River, 1976-2015

This dataset collects the available information on abundances of stoneflies, caddisflies and aquatic beetles present in the streams and rivers of the Sierra Nevada (southern Spain) from different sources. Data include the location of the sampling sites where these insects were recorded, the available abiotic characteristics of their habitats and information on the number of individuals, the life stage in which they were collected and, for adults, their sex. All data coming from reaches belonging to streams and rivers above 800 m of altitude have been considered (not including records of these insects from high mountain lakes or other lentic habitats). The dataset is composed of 1,718 sampling events carried out between 1905 and 2022 in approximately 60 different water bodies, 15,347 occurrences belonging to more than 203,000 individuals, and 10,173 records of associated measurements (23 physico-chemical parameters). The dataset is the result of a comprehensive review of scientific literature and of integrating the Smart EcoMountains project data and the Sierra Nevada Global-Change Observatory’s long-term monitoring data. This information will be valuable for those studying past distributions and abundances of the species present in the dataset, as a basis for building predictive models or just studying temporal trends.

Precipitation data for aquqtic LTER site Salaca River, 1982-2015