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Linked Brazilian Amazon Rainforest Data

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2014Publisher:SAGE PublicationsJournal:Semantic Web, volume 5, pages 151-155 (issn: 1570-0844, Copyright policy )
Authors: Kauppinen, Tomi; de Espindola, Giovana Mira; Jones, Jim; Sánchez, Alber; Gräler, Benedikt; Bartoschek, Thomas;

doi: 10.3233/sw-130113

Linked Brazilian Amazon Rainforest Data

Abstract

The Linked Brazilian Amazon Rainforest Data contains observations about deforestation of rainforests and related things such as rivers, road networks, population, amount of cattle, and market prices of agricultural products. The Linked Data approach offers thus to combine ecological, economical and social dimensions together. Our aim has been to 1) dramatically shorten the time needed to collect information for a research setting concerning the Brazilian Amazon, and 2) via the linkage between datasets enable novel types of transdisciplinary research for the scientific community.

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    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Average
Top 10%
Top 10%
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Knowmad Institut
University Network for Innovation, Technology and Engineering
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