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LILA BC is a repository for archival data sets related to biology and conservation. Our intention is to create a valuable resource for the scientific community, including for machine learning researchers and/or those that want to harness machine learning for biology and conservation. Machine learning depends on labeled data, but getting access to such data in biology and conservation is a challenge. Consequently, everyone benefits when more labeled data is made available.