Data from: Ecological network inference from long-term presence-absence data

• Main Authors: Sander, Elizabeth L., Wootton, J. Timothy, Allesina, Stefano
• Format: Dataset
• Language: English
• Published: Dryad 2018
• Subjects: Scardinius erythrophthalmus; Microcladia; HenriciaAbramis brama; Henricia; Hedophyllum; Mastocarpus; Porphyra; Ulva; Acrosiphonia; Hallosaccion; Katharina tunicata; Amphipoda; Thymallus thymallus; Corallina vancouvriensis; Lepidochitona; Littorina sitkana; Oedignathus; Archidoris montereyensis; Telestes souffia; Balanus glandula; Alburnus alburnus; Parachondrostoma toxostoma; Esox lucius; Leathesia; Onchidella borealis; Sipunculid; Barbatula barbatula; Chondrostoma nasus; Cirolana; Gobio gobio; Lottia pelta; interaction web; Littorina scutulata; Alburnoides bipunctatus; Notoplana; Lepomis gibbosus; Lottia scutum; Calliostoma ligatum; Phyllospadix; Ocenebra interfossa; Pinnotheres pisum; Perca fluviatilis; Ameiurus melas; network inference; Nemertea; Idotea; Barbus meridionalis; Mytilus trossulus; Abramis brama; LASSO regression; Petrocelis Ralfsia; Chironomidae; Gymnocephalus cernua; Lota lota; Cucumaria; Halichondria Haliclona; Anguilla anguilla; Mytilus californianus; Callithamnion; Iridea; Pungitius pungitius; Semibalanus cariosus; Dynamic Bayesian networks; Lottia paradigitalis; Amphissa columbiana; Leuciscus leuciscus; Polysiphonia; Blicca bjoerkna; Squalius cephalus; Lepasterias hexactis; Phoxinus phoxinus; Anthopleura; Cyprinus carpio; Pollicipes; presence-absence; Fucus; Sander lucioperca; Salmo salar; Chthamalus; Nucella canalicalata; Lottia digitalis; Cottus gobio; Mopalia; Tonicella lineata; Endocladia; Rutilus rutilus; Prionitis; Gasterosteus aculeatus; Tinca tinca; Nucella ostrina; Brama; Dy; lota
• Online Access: https://dx.doi.org/10.5061/dryad.8m11n; http://datadryad.org/stash/dataset/doi:10.5061/dryad.8m11n

Ecological communities are characterized by complex networks of trophic and nontrophic interactions, which shape the dy-namics of the community. Machine learning and correlational methods are increasingly popular for inferring networks from co-occurrence and time series data, particularly in microbi...