The impact of data resolution on dynamic causal inference in multiscale ecological networks
- DOI
- 10.1038/s42003-024-07054-z
- Published
- 2024-11-05
- Container
- Communications Biology
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s42003-024-07054-z,
title = {The impact of data resolution on dynamic causal inference in multiscale ecological networks},
author = {Erik Saberski and Tom Lorimer and Delia Carpenter and Ethan Deyle and Ewa Merz and Joseph Park and Gerald M. Pao and George Sugihara},
year = {2024},
journal = {Communications Biology},
doi = {10.1038/s42003-024-07054-z},
url = {https://doi.org/10.1038/s42003-024-07054-z}
}RIS
TY - JOUR TI - The impact of data resolution on dynamic causal inference in multiscale ecological networks AU - Erik Saberski AU - Tom Lorimer AU - Delia Carpenter AU - Ethan Deyle AU - Ewa Merz AU - Joseph Park AU - Gerald M. Pao AU - George Sugihara PY - 2024 JO - Communications Biology DO - 10.1038/s42003-024-07054-z UR - https://doi.org/10.1038/s42003-024-07054-z ER -
APA
Saberski, E., Lorimer, T., Carpenter, D., Deyle, E., Merz, E., Park, J., Pao, G. M., & Sugihara, G. (2024). The impact of data resolution on dynamic causal inference in multiscale ecological networks. Communications Biology. https://doi.org/10.1038/s42003-024-07054-z
Source records
- crossref · retrieved 2026-09-27T09:56:49.687Z