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.
Server
Apache/2.4.41 (Ubuntu)
DNS
View domain name system records, including the A, AAAA, MX and NS records.