Data · dataset · 2026
Species, geography, and weather conditions predict offshore migration in songbirds
Listed in FDM-DOI-Vergabe
Description
Autumn Routing Content Data data/: Contains processed data and information on false positive detections. app.R: Shiny app for filtering false positives and data validation. data_flights-*.csv: Processed data ready for analysis containing information on individual flights and weather data. flightpaths-*.csv: Estimated locations for individual flights paths. recvDeps.csv: Receiver station deployments. tagDeps.csv: Tag deployments.
Code main.R: Run the complete analysis pipeline. R/: Contains all the R code to run the analysis. _setup.R: Configure the project environment. _utils.R: Utility functions. 1_data_preparation.R: Process telemetry data downloaded from Motus. 2_maps.R: Generate maps of the flight tracks. 3_multi-state.R: Analyse departure decision using a multi-state model. 4_mixture_simulation.R: Simulate and analyse flight distance using the generative mixture model. 5_mixture_modelling.R: Analyse flight distance using the same mixture model.
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Stan/: Contains Stan code for the models. Documentation vignettes/: Contains vignettes for the analysis. supplement.qmd: Supplementary materials. Manuscript index.qmd: Manuscript source file. figures/: Contains visual assets that are embedded in the manuscript. results/: Contains data objects generated by the research pipeline.
Utility bibtexDOI.sh: Bash script that fetches the BibTeX entry for a given DOI and appends it to the project bibliography file. Reproducibility This project was conducted with R 4.5.2 and leverages renv to ensure a reproducible R environment. The renv package captures and restores the exact package versions used in this analysis, enabling others to recreate the environment precisely.
Download this archive or clone the Git repository: git clone codeberg.org/migecol/autumn_routing Open the project in your preferred editor. In the project’s working directory, restore the environment using renv: install.packages("renv") renv::restore() When prompted, select “1: Activate the project and use the project library”. This will install all required packages as specified in the renv.lock file.
Run the analysis.
Links
Where it is published
- Dataverse dataset page dare.uol.de/dataset.xhtml?persistentId=doi%3A10.57782%2FVKNXIJ ↗
landing page · from dare uol de
- DOI doi.org/10.57782/vknxij ↗
DOI / persistent id · from dare uol de
Catalogue records · 1
- Dataverse API dare.uol.de/api/datasets/:persistentId/?persistentId=doi%3A10.57782%2FVKNX… ↗
metadata API · from dare uol de
Topics
- Stated by source
- Earth and Environmental Sciences
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| FDM-DOI-Vergabe | doi:10.57782/VKNXIJ | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].dataverse_subject:earth-and-environmental-sciences | source · dare uol de | connector:dare_uol_de@1.0.0 | /subjects |
| created_date | source · dare uol de | connector:dare_uol_de@1.0.0 | |
| description | source · dare uol de | connector:dare_uol_de@1.0.0 | /description |
| publication_date | source · dare uol de | connector:dare_uol_de@1.0.0 | |
| title | source · dare uol de | connector:dare_uol_de@1.0.0 | /name |
| updated_date | source · dare uol de | connector:dare_uol_de@1.0.0 | |
| version_label | source · dare uol de | connector:dare_uol_de@1.0.0 |