Spiders are a highly diversified group of arthropods and play an important role in terrestrial ecosystems as ubiquitous predators, which makes them a suitable group to test a variety of eco-evolutionary hypotheses. For this purpose, knowledge of a diverse range of species traits is required. Until now, data on spider traits have been scattered across thousands of publications produced for over two centuries and written in diverse languages. To facilitate access to such data, we developed an online database for archiving and accessing spider traits at a global scale. The database has been designed to accommodate a great variety of traits (e.g. ecological, behavioural and morphological) measured at individual, species or higher taxonomic levels. Records are accompanied by extensive metadata (e.g. location and method). The database is curated by an expert team, regularly updated and open to any user. A future goal of the growing database is to include all published and unpublished data on spider traits provided by experts worldwide and to facilitate broad cross-taxon assays in functional ecology and comparative biology. Database URL: https://spidertraits.sci.muni.cz/

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Building construction has gone through substantial change with the emerging spread of ICT during last decades. In the field of construction industry, the term intelligent buildings describes facilities equipped with devices and systems that can be remotely controlled and programmed and that are able to communicate and collaborate in order to ensure convenient building environment and effective operation. However, installing devices with such capabilities is only one part of the task of effective facility management and risk management. Facility managers have to be provided with tools that allow them to inspect and analyze gathered building operational data and make decisions to improve building performance. Decision support tools for facility managers usually lack deep integration with building systems. This article aims on technical aspects of providing data from intelligent buildings to the responsible personnel in order to help them to operate the building effectively with emphasis on its energy consumption and risk management.