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This dataset represents 709 herbarium specimens of Streptanthus tortuosus, a widespread herb in California, which were scored for phenology. Reproductive structures on each sheet were counted by both human observers (manual) and by machine learning (mask R-CNN). These counts were used to calculate a quantitative metic of phenological status (the phenological index or PI). Collection date and relevant climate data (spring maximum temperature, degrees C; winter precipitation, mm) at the location and during the year of specimen collection (YOC) are also included in the dataset.
visual data classification, climate change, natural history collections, deep learning, object detection, flowering time, regional convolutional neural network, phenology, phenological stage annotation
visual data classification, climate change, natural history collections, deep learning, object detection, flowering time, regional convolutional neural network, phenology, phenological stage annotation
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