messal_shale — Messel Shale food web (2014)

Description

Food web of the early Eocene Messel Shale (Germany), a fossil site about 48 million years old that preserves the lake and surrounding forest ecosystem of the time, compiled by J. A. Dunne, C. C. Labandeira and R. J. Williams. Nodes are taxa (plants, animals, fungi, bacteria) and non-living resources (detritus and dead animal material), and a directed edge points from a consumer to the resource it feeds on. Feeding links were inferred from several lines of evidence, such as gut contents, coprolites, damage patterns on plants, functional morphology, body size, and the diets of the closest living relatives (taxonomic uniformity), and each link was assigned a level of certainty.

The network has the following properties:

name: the name of the taxon or resource.
group: the higher-level taxonomic group of the taxon (usually its order, as in "Coleoptera").
certainty: the certainty of the feeding link, with 1 = high, 2 = intermediate, 3 = low (see the graph property certainty_key).
evidence: the list of types of evidence supporting the link, with codes 1 = taxonomic uniformity, 2 = functional morphology, 3 = gut contents, 4 = damage pattern, 5 = stratigraphic co-occurrence, 6 = body size, 7 = coprolites, 8 = host relationship, 9 = biochemistry and minerals, 10 = track or domicile (see the graph property evidence_key).
references: the list of literature references supporting the link, as indices into the graph property reference_key.

Tags

Biological Food web Uncertain Weighted Metadata

Citation

J. A. Dunne, C. C. Labandeira, & R. J. Williams, "Highly resolved early Eocene food webs show development of modern trophic structure after the end-Cretaceous extinction." Proc. Royal Soc. B: Biological Sciences 281(1782), 20133280 (2014). 10.1098/rspb.2013.3280 Sci-Hub

Upstream URL OK

http://datadryad.org/resource/doi:10.5061/dryad.ps0f0

Networks

Tip: hover over a column header for a description.

Column legend

$\left<k\right>$: Mean degree
$\sigma_k$: Standard deviation of the degrees
$\lambda_h$: Largest eigenvalue of the Hashimoto (non-backtracking) matrix
$\tau$: Random walk mixing time
$r$: Degree assortativity
$c$: Global clustering coefficient
$\oslash$: (Pseudo-) diameter
$S$: Relative size of the largest component
NPs: Node properties
EPs: Edge properties

Name	Nodes	Edges	$\left<k\right>$	$\sigma_k$	$\lambda_h$	$\tau$	$r$	$c$	$\oslash$	$S$	Kind	Mode	NPs	EPs	gt	GraphML	GML	csv
messal_shale	700	6,444	9.21	18.74	32.84	4.74	-0.16	0.08	6	1.00	Directed	Unipartite	name group	certainty references evidence	58 KiB	89 KiB	86 KiB	74 KiB

Ridiculograms^*

^* These are automatically generated force-directed visualizations, and can be quite meaningless for networks both big and small. They should not be taken seriously as sources of scientific insight. See here for a discussion.