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Pearson 2018 Associated taxon records parsing R code
Title
Pearson 2018 Associated taxon records parsing R code.
Creator
Pearson, Katelin D
Date Issued
2017-12-12
Identifier
FSU_libsubv1_scholarship_submission_1513098310_18502571
Format
Downloadable file
Pearson 2018 Combined specimen records and associated taxon records
Title
Pearson 2018 Combined specimen records and associated taxon records.
Creator
Pearson, Katelin D
Abstract/Description
This dataset is the product of research by Katelin D. Pearson 2018 and consists of herbarium specimen records for the Florida State University R. K. Godfrey Herbarium (FSU) combined with observational records created by parsing the habitat field of these records for scientific names. The downloadable ZIP file contains the CSV dataset and a text file describing the data.
Date Issued
2017-12-12
Identifier
FSU_libsubv1_scholarship_submission_1513095860_92a1a26b
Format
Downloadable file
Worldwide Engagement for Digitizing Biocollections (WeDigBio)
Title
Worldwide Engagement for Digitizing Biocollections (WeDigBio): The Biocollections Community's Citizen-Science Space on the Calendar..
Creator
Ellwood, Elizabeth R, Kimberly, Paul, Guralnick, Robert, Flemons, Paul, Love, Kevin, Ellis, Shari, Allen, Julie M, Best, Jason H, Carter, Richard, Chagnoux, Simon, Costello,...
Show moreEllwood, Elizabeth R, Kimberly, Paul, Guralnick, Robert, Flemons, Paul, Love, Kevin, Ellis, Shari, Allen, Julie M, Best, Jason H, Carter, Richard, Chagnoux, Simon, Costello, Robert, Denslow, Michael W, Dunckel, Betty A, Ferriter, Meghan M, Gilbert, Edward E, Goforth, Christine, Groom, Quentin, Krimmel, Erica R, LaFrance, Raphael, Martinec, Joann Lacey, Miller, Andrew N, Minnaert-Grote, Jamie, Nash, Thomas, Oboyski, Peter, Paul, Deborah L, Pearson, Katelin D, Pentcheff, N Dean, Roberts, Mari A, Seltzer, Carrie E, Soltis, Pamela S, Stephens, Rhiannon, Sweeney, Patrick W, von Konrat, Matt, Wall, Adam, Wetzer, Regina, Zimmerman, Charles, Mast, Austin R
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Abstract/Description
The digitization of biocollections is a critical task with direct implications for the global community who use the data for research and education. Recent innovations to involve citizen scientists in digitization increase awareness of the value of biodiversity specimens; advance science, technology, engineering, and math literacy; and build sustainability for digitization. In support of these activities, we launched the first global citizen-science event focused on the digitization of...
Show moreThe digitization of biocollections is a critical task with direct implications for the global community who use the data for research and education. Recent innovations to involve citizen scientists in digitization increase awareness of the value of biodiversity specimens; advance science, technology, engineering, and math literacy; and build sustainability for digitization. In support of these activities, we launched the first global citizen-science event focused on the digitization of biodiversity specimens: Worldwide Engagement for Digitizing Biocollections (WeDigBio). During the inaugural 2015 event, 21 sites hosted events where citizen scientists transcribed specimen labels via online platforms (DigiVol, Les Herbonautes, Notes from Nature, the Smithsonian Institution's Transcription Center, and Symbiota). Many citizen scientists also contributed off-site. In total, thousands of citizen scientists around the world completed over 50,000 transcription tasks. Here, we present the process of organizing an international citizen-science event, an analysis of the event's effectiveness, and future directions-content now foundational to the growing WeDigBio event.
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Date Issued
2018-02-01
Identifier
FSU_pmch_29599548, 10.1093/biosci/bix143, PMC5862351, 29599548, 29599548, bix143
Format
Citation
Digitization protocol for scoring reproductive phenology from herbarium specimens of seed plants.
Title
Digitization protocol for scoring reproductive phenology from herbarium specimens of seed plants.
Creator
Yost, Jennifer M, Sweeney, Patrick W, Gilbert, Ed, Nelson, Gil, Guralnick, Robert, Gallinat, Amanda S, Ellwood, Elizabeth R, Rossington, Natalie, Willis, Charles G, Blum,...
Show moreYost, Jennifer M, Sweeney, Patrick W, Gilbert, Ed, Nelson, Gil, Guralnick, Robert, Gallinat, Amanda S, Ellwood, Elizabeth R, Rossington, Natalie, Willis, Charles G, Blum, Stanley D, Walls, Ramona L, Haston, Elspeth M, Denslow, Michael W, Zohner, Constantin M, Morris, Ashley B, Stucky, Brian J, Carter, J Richard, Baxter, David G, Bolmgren, Kjell, Denny, Ellen G, Dean, Ellen, Pearson, Katelin D, Davis, Charles C, Mishler, Brent D, Soltis, Pamela S, Mazer, Susan J
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Abstract/Description
Herbarium specimens provide a robust record of historical plant phenology (the timing of seasonal events such as flowering or fruiting). However, the difficulty of aggregating phenological data from specimens arises from a lack of standardized scoring methods and definitions for phenological states across the collections community. To address this problem, we report on a consensus reached by an iDigBio working group of curators, researchers, and data standards experts regarding an efficient...
Show moreHerbarium specimens provide a robust record of historical plant phenology (the timing of seasonal events such as flowering or fruiting). However, the difficulty of aggregating phenological data from specimens arises from a lack of standardized scoring methods and definitions for phenological states across the collections community. To address this problem, we report on a consensus reached by an iDigBio working group of curators, researchers, and data standards experts regarding an efficient scoring protocol and a data-sharing protocol for reproductive traits available from herbarium specimens of seed plants. The phenological data sets generated can be shared via Darwin Core Archives using the Extended MeasurementOrFact extension. Our hope is that curators and others interested in collecting phenological trait data from specimens will use the recommendations presented here in current and future scoring efforts. New tools for scoring specimens are reviewed.
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Date Issued
2018-02-28
Identifier
FSU_pmch_29732253, 10.1002/aps3.1022, PMC5851559, 29732253, 29732253, APS31022
Format
Citation
Simulation results from
Title
Simulation results from: A new method and insights for estimating phenological events from herbarium specimens.
Creator
Pearson, Katelin D
Abstract/Description
Premise of the study: A novel method of estimating phenology of herbarium specimens was developed to facilitate more precise determination of plant phenological responses to explanatory variables (e.g., climate). Methods and Results: Simulated specimen datasets were used to compare the precision of phenological models using the new method and two common, alternative methods (flower presence/absence and ≥50% flowers present). The new “estimated phenophase” method was more precise and extracted...
Show morePremise of the study: A novel method of estimating phenology of herbarium specimens was developed to facilitate more precise determination of plant phenological responses to explanatory variables (e.g., climate). Methods and Results: Simulated specimen datasets were used to compare the precision of phenological models using the new method and two common, alternative methods (flower presence/absence and ≥50% flowers present). The new “estimated phenophase” method was more precise and extracted a greater number of significant species-level relationships; however, this method only slightly out-performed the simple “binary” (e.g., flowers present/absent) method. Conclusions: The new method enables estimation of phenological trends with greater precision. Still, when time and resources are limited, a presence/absence method may offer comparable results at lower cost. Using a more restrictive approach, such as only including specimens in a certain phenophase, is not advised given the detrimental effect of decreased sample size on resulting models. This file contains all results for the simulated models while changing parameters listed in columns A-J.
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Date Issued
2019-02-02
Identifier
FSU_libsubv1_scholarship_submission_1549124815_ab134724
Format
Downloadable file