This paper presents a new learning system for a hydroelectric unit of energy (HUE) by using desktop virtual reality (VR) techniques. The software offers the possibility to understand the relation between the physical structures of a UHE, through computer simulations, graphical outputs, and animations. Three learning courses are offered. Educative is the first course that allows familiarizes the student with the structure and with the constituent pieces of a HUE, as well its general and technical information. The second course, maintenance, uses the learning approach based on practice and offers different learning levels, divided into three modes: automatic, guided, and exploratory, in which these modes are accessed according to the acquired degree of knowledge by the user in relation to maintenance procedures. The last course, operation learning, allows the student to visualize the operation of HUE during a certain event as the electromechanical dynamics of the turbine-generator assemblage in the virtual world by the visualization of several requisite conditions before the startup procedure of HUE. Finally, it was made a performance comparison between the Electrical Engineering students which used the learning module with the case where that was not adopted.

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This dataset contains information on the occurrence of Neotropical fishes (Actinopterygii, Chondrichthyes, Sarcopterygii) collected in South America, mostly from the Brazilian Amazon. The ichthyology collections of the Museu Paraense Emílio Goeldi (MPEG: http://www.museu-goeldi.br/) include specimens collected between 1900 and 2014. The dataset is now available for public consultation on the Global Biodiversity Information Facility portal (http://www.gbif.org/dataset/b0059a3a-5cab-4a08-8d14-d92c23378e43), and through Sistema de Informação sobre a Biodiversidade Brasileira (http://gbif.sibbr.gov.br/explorador/pt/recurso/62).

One critical aspect of science is the ability to reproduce the same experiment by another researcher. In other to do so, the same ambient, variables, data, setup should be considered. The method tells how the original researcher planned and did their research, but how can others replicate or even advance the preview research? The scientific community has been focusing on efforts to increase transparency and reproducibility and develop a “culture of reproducibility.” When researchers share their data, their workflow, and co-evolute a way of doing research, all the players win. The value co-creation is established in a business ecosystem. The actor who is part of the business platform by the co-creation can leverage the advantage of one or more partners that make up the platform. Thus, the knowledge created from the interaction between the different technological domains and knowledge shared on the platform can improve all the research and researchers. Stating that, this chapter proposes a business ecosystem model to ensure research repeatability.