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Title
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Pearson 2018 Associated taxon records parsing R code.
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Creator
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Pearson, Katelin D
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Date Issued
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2017-12-12
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Identifier
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FSU_libsubv1_scholarship_submission_1513098310_18502571
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Format
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Downloadable file
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Title
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Pearson 2018 Combined specimen records and associated taxon records.
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Creator
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Pearson, Katelin D
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Abstract/Description
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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.
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Date Issued
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2017-12-12
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Identifier
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FSU_libsubv1_scholarship_submission_1513095860_92a1a26b
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Format
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Downloadable file
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Title
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Round test tube rack.
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Creator
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Rodriguez, Brayan
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Date Issued
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2017
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Identifier
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FSU_3DP_1513261345
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Format
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Downloadable file
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Title
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Template base for chemistry molecule.
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Creator
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Rodriguez, Brayan
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Date Issued
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2017
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Identifier
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FSU_3DP_1513020135
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Format
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Downloadable file
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Title
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Simulation results from: A new method and insights for estimating phenological events from herbarium specimens.
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Creator
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Pearson, Katelin D
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Abstract/Description
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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
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2019-02-02
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Identifier
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FSU_libsubv1_scholarship_submission_1549124815_ab134724
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Format
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Downloadable file
