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datasetposted on 24.05.2019 by Marisa J. Stone, Luke Shoo, Nigel E. Stork, Fran Sheldon, Carla P. Catterall
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
Macro- and meso-decomposer litter invertebrate composition data- Ambient litter invertebrates were sampled around the mesh leaf litter bags (see litter mass loss data), where we hand-collected a single 1 L litter sample from across the ground surface at each site (25 sites), five months after litter bag deployment. These were transferred to the laboratory within a few hours of collection, and invertebrates were extracted over 72 hours using Tullgren funnels and collected in ethanol-filled jars. Using a light microscope, we first grouped all invertebrates into two body size categories: macro (>1 mm long and wide) and meso (<1 mm long or wide) corresponding to the bag mesh size threshold. We also identified all to a level sufficiently fine to enable a dominant feeding guild (Stork 1987) to be assigned (for example, to Family for most beetles, to Infraorder for termites, to Class for centipedes); these guilds were decomposers (detritivores), predators, herbivores and fungivores. In some cases we chose the feeding guild known to be most common for a broader taxon. These data were then expressed as counts of individuals per site in each body size-feeding guild combination, at the Class or Order level.