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Results: 220
Number of items: 220
  • Open Access
    Schaller, C. (2026). Shallow landslides in Switzerland: Applied geospatial modelling and machine learning. [Thesis, externally prepared, Universiteit van Amsterdam].
  • Open Access
    Linssen, H. J. (2026). The making of movement: Individual processes shaping the development and future of migration in Bewick's swans. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    de Nijs, E. A., Tietema, A., Bol, R., & van Loon, E. E. (2025). Modeling Cut Rose Yield Over an 18-Month Period After Compost Amendment Using Repeated Sigmoidal Gompertz Curve Fitting. Plant-Environment Interactions, 6(3), Article e70049. https://doi.org/10.1002/pei3.70049
  • Linssen, H. J., van Loon, E., Shamoun - Baranes, J., Vergin, L., Leyrer, J., & Nolet, B. (2025, October 1). Data and script for "Tracking data as an alternative to resighting data for inferring population ranges" [Data set]. Universiteit van Amsterdam. https://doi.org/10.21942/uva.25650978.v3
  • Kalb, S., Rijsdijk, K., De Groeve, J., Denkers, L., van Loon, E., & Foufopoulos, J. (2025, April 24). Present day and paleo ecological distributions of reptiles in the Aegean and Ionian seas [Data set]. Universiteit van Amsterdam. https://doi.org/10.21942/uva.23284868.v2
  • Linssen, H. J., van Loon, E., Shamoun-Baranes, J., Nuijten, R. J. M., & Nolet, B. (2025, October 1). Data and scripts for "Migratory swans individually adjust their autumn migration and winter range to a warming climate" [Data set]. Universiteit van Amsterdam. https://doi.org/10.21942/uva.24083703.v4
  • Open Access
    Schaller, C., Dorren, L., Schwarz, M., Moos, C., Seijmonsbergen, A. C., & Van Loon, E. E. (2025). Predicting the thickness of shallow landslides in Switzerland using machine learning. Natural Hazards and Earth System Sciences, 25(2), 467-491. https://doi.org/10.5194/nhess-25-467-2025
  • Open Access
    Thomas, C. L., Jansen, B., van Loon, E. E., & Wiesenberg, G. L. B. (2025). Evaluating the applicability of the VERHIB model to a 2600-year peat sequence from Central Germany. Applied Geochemistry, 184, Article 106338. https://doi.org/10.1016/j.apgeochem.2025.106338
  • Open Access
    Lippert, F. (2025). From weather radars to bird migration fluxes: Process-guided machine learning for spatio-temporal forecasting and inference. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Linssen, H., Lameris, T. K., Boom, M. P., Nuijten, R. J. M., Buitendijk, N. H., Dokter, A. M., Ebbinge, B. S., Eichhorn, G., Geisler, J., Haitjema, T., Kölzsch, A., Kruckenberg, H., Leyrer, J., Madsen, J., Mitchell, C., Moonen, S., Müskens, G. J. D. M., Schreven, K. H. T., Vergin, L., ... Nolet, B. A. (2025). Scope for waterfowl to speed up migration to a warming Arctic. Nature Climate Change, 15(10), 1107–1114. https://doi.org/10.1038/s41558-025-02419-6
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