Where can I find the citation of an ETN project?
All projects in ETN have an MarineInfo dataset record that includes all discovery level (Who? Where? When? Which species?) metadata of the project. It also includes the citation (as provided in the ETN project template) and links to both the dataset and derived publications (if any). You can find the MarineInfo dataset record of a project via:
The ETN Dataset Catalogue. The ETN Dataset Catalogue can be filtered by author, species, technology used, etc., but it also allows to filter by project code via the “Full text search”. The “More Info” button will redirect to the full MarineInfo dataset record of the project, where the citation will appear under the title of the project with the DOI URL (if applicable).
Example MarineInfo record for an ETN project: https://doi.org/10.14284/437
- The ETN R package. Most users will download their data using the etn R package. Using the function get_acoustic_projects() and/or get_animal_projects() results in a dataframe of available network and animal projects, respectively. The field imis_dataset_id in the dataframe refers to the unique identifier of the MarineInfo dataset record, as in: https://marineinfo.org/doc/dataset/5846. You can consult the MarineInfo record by modifying the url:
https://marineinfo.org/doc/dataset/[imis_dataset_id]
Do all ETN MarineInfo records have a DOI?
A Digital Object Identifier (DOI) will be assigned to Animal Project data without embargo registered under an open licence (CC0, CCBY, CCNC or CCSA), automatically once the embargo period has ended or earlier by request of the Tracking Collaborator. DOI creation can be requested by the Tracking Collaborator for data registered under another license.
ETN provides DOI minting to make research outputs and resources discoverable and citable for the long term. DOIs increase the discoverability of research, ensure accessibility to (meta)data, and facilitate accurate citation and acknowledgement. Data will be made available as:
- A Frictionless Data Package that includes separated CSVs for metadata (animals, tags, deployments, receivers) and detections, as well as a datapackage.json describing the fields and relations for the CSVs.
- A DarwinCore (Occurrence Core) standard dataset with detections aggregated to the first detection per hour, to reduce the size of the high-frequency data, following recommendations from INBO, VLIZ, OTN and others.
- Cloud optimized formats: Parquet.