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Herbarium records of Streptanthus tortuosus scored for reproductive structures by human observers and machine learning

Authors: Love, Natalie; Bonnet, Pierre; Goëau, Hervé; Joly, Alexis; Susan J. Mazer;

Herbarium records of Streptanthus tortuosus scored for reproductive structures by human observers and machine learning

Abstract

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.

Keywords

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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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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