
Phenolopy
Phenolopy (phenology + python) is a python-based library for analysing satellite timeseries data.
Citation: Authors: Trotter, L., Robinson, T.
Phenolopy (phenology + python) is a python-based library for analysing satellite timeseries data.
Citation: Authors: Trotter, L., Robinson, T.
A Python application for zircon grain image segmentation and shape analysis
Citation: Scharf, T., Kirkland, C. L., Daggitt, M. L., Barham, M., & Puzyrev, V. (2022). AnalyZr: A Python application for zircon grain image segmentation and shape analysis. Computers & Geosciences, 162, 105057.
ArcDEA is the unofficial Digital Earth Australia (DEA) ArcGIS Pro plugin.
Citation: Trotter, L. & Robinson, T. P. (2025). ArcDEA: a ArcGIS Pro plugin for accessing Digital Earth Australia imagery (Version 0.6). Zenodo.
An application to process U-Th disequilibrium data from the SHRIMP II instrument
Citation: Marsden, R. C., Kirkland, C. L., Danišík, M., Daggitt, M. L., Ahn, U.-S., Friedrichs, B., & Evans, N. J. (2022). A new approach to SHRIMP II zircon U-Th disequilibrium dating. Computers & Geosciences, 158, 104947.
A Python application to estimate the most likely time of Pb loss in discordant zircon U–Pb datasets
Citation: Mathieson, L. M., Kirkland, C. L. & Daggitt, M. L. (2025). Turning trash into treasure: Extracting meaning from discordant data via a dedicated application. Geochemistry, Geophysics, Geosystems, 26, e2024GC012066.
An application to extract meaningful U-Pb ages from mixed analyses following some verifiable assumptions
Citation: Olierook, H. K. H., Kirkland, C. L., Barham, M., Daggitt, M. L., Hollis, J., & Hartnady, M. (2021). Extracting meaningful U-Pb ages from core–rim mixtures. Gondwana Research, 92, 102-112.
A Heavy Mineral Sand Toolbox to mineral sands exploration: Leveraging state-of-the-art technologies to minimize exploration risks through understanding of complex grain histories
Citation: The Timescales of Mineral Systems Group presents an integrated toolkit for understanding mineral sands through geochronology, geochemistry, and grain shape analysis. This work was supported by MRIWA grant M551.
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