GULLIVER - Mobilizing gull movement data to Movebank and GBIF
Details
GULLIVER will make gull movement data publicly available, using GPS tracking data from the University of Amsterdam (UvA) and colour-ringing data from the Research Institute for Nature and Forest (INBO). The project builds on the success of the NLBIF-funded MOVE2GBIF. In that project, INBO and its partners developed the methodology and software to transform GPS tracking data from Movebank to the Darwin Core format. The MOVE2GBIF approach has since become a recommended standard for publishing animal GPS tracking data.With GULLIVER, we are taking this approach to the next level. We will publish five datasets that collectively describe the movements of over 13,000 gulls. These include:
- 4 GPS-tracking datasets (from UvA-BiTS), together comprising more than 17 million locations.
- 1 dataset with reports of ringed individuals (from CR-Birding), with over 189,000 observations of colour-ringed gulls.
We will publish these data on four platforms: Movebank, Zenodo, the Global Biodiversity Information (GBIF) and the Ocean Biodiversity Information System (OBIS). This will make the information on gull movements accessible to a wider audience, allowing it to be used for broader biodiversity research. We will also publish a model that can generate behavioural classifications for the gulls based on acceleration data. To make the data publication process semi-automated, reproducible, and reusable for others, we will use and improve the movepub R package.
Finally, we will describe this work in an open-access data paper, including the datasets, methods, and software used. This way, we will make the data not only available but also discoverable and citable.
| Status | Running |
|---|---|
| Actual start/end date | 01/11/2025 - 31/10/2026 |
Teams
INBO Research theme(s)
- Data & infrastructure