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Neftalí Sillero, Marco Amaro Oliveira, Pedro Sousa, Fátima Sousa and Luís Gonçalves-Seco

The Societas Europaea Herpetologica (SEH) decided in 2006 through its Mapping Committee to implement the New Atlas of Amphibians and Reptiles of Europe (NA2RE: http://na2re.ismai.pt) as a chorological database system. Initially designed to be a system of distributed databases, NA2RE quickly evolved to a Spatial Data Infrastructure, a system of geographically distributed systems. Each individual system has a national focus and is implemented in an online network, accessible through standard interfaces, thus allowing for interoperable communication and sharing of spatial-temporal data amongst one another. A Web interface facilitates the access of the user to all participating data systems as if it were one single virtual integrated data-source. Upon user request, the Web interface searches all distributed data-sources for the requested data, integrating the answers in an always updated and interactive map. This infrastructure implements methods for fast actualisation of national observation records, as well as for the use of a common taxonomy and systematics. Using this approach, data duplication is avoided, national systems are maintained in their own countries, and national organisations are responsible for their own data curation and management. The database could be built with different representation levels and resolution levels of data, and filtered according to species conservation matters. We present the first prototype of NA2RE, composed of the last data compilation performed by the SEH (Sillero et al., 2014). This system is implemented using only open source software: PostgreSQL database with PostGIS extension, Geoserver, and OpenLayers.

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Fikret Sarı and Yakup Kaska

. Management strategies to mitigate the impacts of climate change on sea turtle's terrestrial reproductive phase . Mitigation Adaption Strateg Global Change . 17 : 51 – 63 . Fuller WJ , Godley BJ , Hodgson DJ , Reece SE , Witt MJ , Broderick AC . 2013 . Importance of spatio-temporal

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Yoko Takaki, Akihisa Kenmochi, Tomoharu Kiyuna, Ken'Ichi Kamijo, Toshimasa Yamazaki and Tetsuji Tanigawa

components of high proportion. The SVD analysis for a spatio-temporal data matrix of the target ERP implied three to four dipolar sources during a period of 100 – 300 ms but only one deep source during a period of 300 – 400 ms could describe the ERP data (see Fig. 10). However, the latter hypothesis is not