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Data Science Research

NCEAS research in data science and informatics makes environmental data easier to locate, access, interpret, and analyze.

Proceedings of the 24th annual midwest ecology and evolution conference: Introduction

The potential distribution of zebra mussels in the united states

Reef fish community structure on coastal islands of the southeastern Brazil: The influence of exposure and benthic cover

Spatial and non-spatial factors: When do they affect landscape indicators of watershed loading?

Food quality, nutrient limitation of secondary production, and the strength of trophic cascades

Predation on mutualists can reduce the strength of trophic cascades

From patterns to processes and back: Analysing density-dependent responses to an abiotic stressor by statistical and mechanistic modelling

Longevity can buffer plant and animal populations against changing climatic variability

Clonal fitness of attached bacteria predicted by analog modeling