The e-ROSA project seeks to build a shared vision of a future sustainable e-infrastructure for research and education in agriculture in order to promote Open Science in this field and as such contribute to addressing related societal challenges. In order to achieve this goal, e-ROSA’s first objective is to bring together the relevant scientific communities and stakeholders and engage them in the process of coelaboration of an ambitious, practical roadmap that provides the basis for the design and implementation of such an e-infrastructure in the years to come.
This website highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. If you have any comment or feedback on the bibliometric study, please use the online form.
You can access and play with the graphs:
- Evolution of the number of publications between 2005 and 2015
- Map of most publishing countries between 2005 and 2015
- Network of country collaborations
- Network of institutional collaborations (+10 publications)
- Network of keywords relating to data - Link
Rapid heating rates (>= 700 degrees C min(-1)) were utilized to gasify Clean Wood and two refuse derived fuel (RDF) samples using thermogravimetric analysis coupled to gas chromatography (TGA/GC). Reaction atmospheres included Air, 5 % O-2/95 % Ar, 10 % O-2/90 % Ar, 100 % Ar and steam and were used to produce gas evolution profiles for hydrocarbons ranging from H-2 to C4H10. While expected results were obtained using Air reaction atmospheres, some interesting results were observed using steam and Ar. Different concentration profiles and production rates of C2H6 compared to C2H4 and C2H2 enabled some understanding of the reaction sequence occurring during gasification under rapid heating conditions. Kinetic analysis showed pre-exponential factors of 8.00 x 10(27) s(-1) K-1/2 for the Clean Wood sample, 2.02 x 10(29) s(-1) K-1/2 for sample RDF C (industrial solid waste basis) and 3.71 x 10(23) s(-1) K-1/2 for sample A (municipal solid waste basis). Furthermore the apparent activation energy was determined to be 22 kJ mol(-1) for Clean Wood, 71 kJ mol(-1) for RDF C, and 185 kJ mol(-1)) for A indicating that the Clean Wood is slightly more reactive than RDF C and more reactive than RDF A.
Inappropriate format for Document type, expected simple value but got array, please use list format