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Humans in the loop: Community science and machine learning synergies for overcoming herbarium digitization bottlenecks. Applications in Plant Sciences 12: .
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Large–scale digitization of herbarium specimens: Development and usage of an automated, high–throughput conveyor system. TAXON 67: 165.
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A strategy to digitise natural history collections with limited resources. Biodiversity Data Journal 8: .
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To clean or not to clean: Cleaning open‐source data improves extinction risk assessments for threatened plant species. Conservation Science and Practice 2: .
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Enabling automated herbarium sheet image post‐processing using neural network models for color reference chart detection. Applications in Plant Sciences 8: .
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Digitization workflows for flat sheets and packets of plants, algae, and fungi. Applications in Plant Sciences 3: .
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Biodiversifying bioinspiration. Bioinspiration & Biomimetics 13: 053001.
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Herbarium specimens show patterns of fruiting phenology in native and invasive plant species across New England. American Journal of Botany 105: 31.
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Tracking wind‐dispersed seeds using 15N‐isotope enrichment. Plant Biology 16: 1145.
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Challenges and lessons learned from digitizing small Brazilian herbaria. Acta Botanica Brasilica 35: 689.
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A journey through time: exploring temporal patterns amongst digitized plant specimens from Australia. Systematics and Biodiversity 16: 604.
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A plea for digital reference collections and other science‐based digitization initiatives in taxonomy: Sepsidnet as exemplar. Systematic Entomology 38: 637.
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The Uses of Herbaria in Botanical Research. A Review Based on Evidence From Argentina. Frontiers in Plant Science 10: .
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Identification of herbarium specimen sheet components from high‐resolution images using deep learning. Ecology and Evolution 13: .
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Bringing collections out of the dark. ZooKeys 209: 1.
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EXIF Custom: Automatic image metadata extraction for Scratchpads and Drupal. Biodiversity Data Journal 1: e973.
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The effectiveness and limitations of digital images for taxonomic research. TAXON 71: 1063.
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Implications and future prospects for evolutionary analyses of DNA in historical herbarium collections. Botany Letters 165: 409.
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Designing an Herbarium Digitisation Workflow with Built-In Image Quality Management. Biodiversity Data Journal 8: .
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Collections‐based systematics: Opportunities and outlook for 2050. Journal of Systematics and Evolution 53: 477.
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Research applications of primary biodiversity databases in the digital age. PLOS ONE 14: e0215794.
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Herbarium collections remain essential in the age of community science. Nature Communications 15: .
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Digitization of The New York Botanical Garden Herbarium. Brittonia 68: 324.
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Caveat consumptor notitia museo: Let the museum data user beware. Global Ecology and Biogeography 28: 1722.
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Ancient Plant Genomics in Archaeology, Herbaria, and the Environment. Annual Review of Plant Biology 71: 605.
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Best practices for digitizing a wood slide collection: The Bailey-Wetmore Wood Collection of the Harvard University Herbaria. Quaternary International 593-594: 50.
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Bryophytes Collection of the University of Brasilia Herbarium, Brazil. Diversity 16: 342.
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Annotating biodiversity data via the Internet. TAXON 62: 1248.
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Conceptual design blueprint for the DiSSCo digitization infrastructure - DELIVERABLE D8.1. Research Ideas and Outcomes 6: .
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Digitization of the historical Herbarium of Michele Guadagno at Pisa (PI-GUAD). PhytoKeys 234: 107.
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Schrödinger's phenotypes: Herbarium specimens show two‐dimensional images are both good and (not so) bad sources of morphological data. Methods in Ecology and Evolution 11: 1296.
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A benchmark dataset of herbarium specimen images with label data. Biodiversity Data Journal 7: .
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Community Science Success for Herbarium Transcription in Arkansas: Building a Network of Students and Volunteers for Notes from Nature. Castanea 87: .
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Mapping the Digitisation Workflow in a University Herbarium. Research Ideas and Outcomes 9: .
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Estimating herbarium specimen digitization rates: Accounting for human experience. Applications in Plant Sciences 9: .
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Advances in Intelligent Data Analysis XVI. Chapter 20: 235.
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