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The Macroalgae Digitization Project. Advancing online algal collections at the New York Botanical Garden and beyond. Stephen D. Gottschalk, Naveed Davoodian, Sarah N. Dutton, Juli A. Janis, Beryl C. M. Kahn, Theodore D. Kirkinis , Eli Min, Jonathan W. Toll, and Kenneth G. Karol.
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The Macroalgae Digitization Project Advancing online algal collections at the New York Botanical Garden and beyond Stephen D. Gottschalk, Naveed Davoodian, Sarah N. Dutton, Juli A. Janis, Beryl C. M. Kahn, Theodore D. Kirkinis, Eli Min, Jonathan W. Toll, and Kenneth G. Karol
The Macroalgal Consortium 49 participating institutions, 25 states, 1 U.S. territory Map courtesy of Christopher Neefus, 2014.
Primary Digitization Centers New York Botanical Garden University of California University of Michigan University of New Hampshire University of North Carolina University of Washington
Scope • More than 1.1 million specimens. • Collections dating back 200 years. • All major algal groups: • Red Algae • Green Algae • Brown Algae
Digitization will consist of . . . A speciman image
Digitization will consist of . . . A label transcription No. 60-11-21-1 In c. 4” of water, pool c. 100 ft. E of bridge, Warrill River, c. 44.7 mi. N of Warwick, Queensland, Australia. Coll.: R. D. Wood Nov. /21/1960
Digitization will consist of . . . A taxon determination CharaconnivensP. Salzmann ex A. Braun
Digitization will consist of . . . A georeferenced point
Workflow Summary Specimen Curation Duplicate Record Matching (exsiccati) Georeferencing Skeletal Records barcode scientific name Specimen Database Skeletal records Images Complete data OCR Manual Data Entry In-house or crowd sourcing OCR Text barcode.txt Specimen Imaging barcode.jpg
Workflow Summary Specimen Curation Duplicate Record Matching (exsiccati) Georeferencing Skeletal Records barcode scientific name Specimen Database Skeletal records Images Complete data OCR Manual Data Entry In-house or crowd sourcing OCR Text barcode.txt Specimen Imaging barcode.jpg
Workflow Summary Specimen Curation Duplicate Record Matching (exsiccati) Georeferencing Skeletal Records barcode scientific name Specimen Database Skeletal records Images Complete data OCR Manual Data Entry In-house or crowd sourcing OCR Text barcode.txt Specimen Imaging barcode.jpg
Workflow Summary Specimen Curation Duplicate Record Matching (exsiccati) Georeferencing Skeletal Records barcode scientific name Specimen Database Skeletal records Images Complete data OCR Manual Data Entry In-house or crowd sourcing OCR Text barcode.txt Specimen Imaging barcode.jpg
Workflow Summary Specimen Curation Duplicate Record Matching (exsiccati) Duplicate Record Matchng Georeferencing Skeletal Records barcode scientific name Specimen Database Skeletal records Images Complete data OCR Manual Data Entry In-house or crowd sourcing OCR Text barcode.txt Specimen Imaging barcode.jpg
Workflow Summary Specimen Curation Duplicate Record Matching (exsiccati) Georeferencing Skeletal Records barcode scientific name Specimen Database Skeletal records Images Complete data OCR Manual Data Entry In-house or crowd sourcing OCR Text barcode.txt Specimen Imaging barcode.jpg
Workflow Summary Specimen Curation Duplicate Record Matching (exsiccati) Georeferencing Skeletal Records barcode scientific name Specimen Database Skeletal records Images Complete data OCR Manual Data Entry In-house or crowd sourcing OCR Text barcode.txt Specimen Imaging barcode.jpg
Specimen Curation Previous curator Marshall A. Howe - died in 1936!
Specimen Curation Many specimens mounted 50 – 100 years ago. Paper frequently not acid free.
Specimen Curation Specimens poorly situated for digitization (information on the backs of specimens). Multiple specimens and/or taxa per sheet.
Rapid Data & Image Capture • Generate skeletal database records • Barcode • Scientific name (as filed) • Photograph every specimen
NYBG Herbarium Snapshot Number of digital records Algal class = Barcoded groups
Optical Character Recognition (OCR) and Cataloging Records to be pre-sorted by OCR and cataloged in groups of similar label types.
Optical Character Recognition (OCR) and Cataloging Compiled from 3,000 lines of raw OCR from Charles Wright’s labels.
Cataloging The Macroalgae Portal using Symbiota.
Cataloging The Macroalgae Portal using Symbiota. www.macroalgae.org
Cataloging The Macroalgae Portal using Symbiota. www.macroalgae.org
Cataloging The Macroalgae Portal using Symbiota. www.macroalgae.org
Georeferencing Courtesy of Christopher Neefus, 2014.
Algae Collections at the New York Botanical Gardens An estimated 150,000 algal specimens. • Notable collectors: • Timothy F. Allen • Frank S. Collins • Marshall A. Howe • Nicolas Pike • Josephine Tilden • Richard D. Wood • Notable collections: • Charophytes • Coralline reds
Impacts on the NYBG collections • Improved state of the NYBG collection • Better access to specimens. • A more comprehensive type collection. • Currently numbers more than 2,900. • More than 150 types added since start of project. • Improved digitization workflows.
Broader Impacts Facilitate further research in the following areas: • Bioinvasions • Sleith, R. S. & K. G. Karol. The invasive macro alga Nitellopsisobtusain New York State. Salve Regina University. Northeast Algal Society Symposium. Newport, RI. 25-27 April 2014. • Climate Change • Bartsch, I. & R. Kuhlenkamp. 2000. The marine macroalgae of Helgoland (North Sea): an annotated list of records between 1845 and 1999. Helgol Mar Res 54: 160-189. • Human Impact • Littler, M. M. & S. N. Murray. 1975. Impact of sewage on the distribution, abundance and community structure of rocky intertidal macro-organisms. Mar Biol 30: 277-291.
Additional Information • www.macroalgae.org • http://sciweb.nybg.org/science2/VirtualHerbarium.asp Thank you!