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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process - Datasets

Authors: Dollar, Aaron, M.; Bateux, Quentin; Koss, Jonathan; Sweeney, Patrick W.; Rios, Nelson; Edwards, Erika J.;

Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process - Datasets

Abstract

This dataset contains supporting data for a research project aimed at analysing herbarium samples from the New England area at a large scale with deep learning techniques. Details on the methodology are shared in the acompanying paper (to be published). Content: dataset600k_withAI.csv : A dataset of over 600.000 herbarium samples with its record metadata and a corresponding AI phenological annotations with matching confidence scores. The entirety of the record headers are provided, extracted directly from the NEVP portal. In addition, the AI labels are defined by the following headers. These 8 columns represent 4 binary classifiers with the Presence/Absence of each 4 traits and corresponding confidence (as a percentage - presence/absence percentages sum to 1). Flowering Not Flowering Budding Not Budding Fruiting Not Fruiting Reproductive Not Reproductive data_species_with_statuses.csv: A processed dataset summarizing flowering period shift at a species level. Two types of headers are provided. First metadata concerning the flowering shift and the data used to compute that value: genus genus_species slope nb_specimens p_value_significance trend_category Genus of the species Binomial name of the species Regression slope defining the flowering shift as a slope Number of herbarium specimens used to compute the shift P-value significance of the slope being non-zero. ('Non Significant'/'Significant') Summary of the shift as a binary characteristic ('Earlier'/'Later') Second, metadata summarizing various traits associated to each species: lifeform_status native_introduced_status wetland_status seasonality_average seasonality_spread Growth form from the USDA PLANTS Database. 'Forb_Herb', 'Shrub_Tree' or 'Vine' 'Native'/'Introduced' status from the USDA PLANTS Database. National Wetland Plant List (NWPL) Wetland Indicator Status within the Northcentral and Northeast Region 'OBL'/'FACW'/'FAC'/'FACU'/'UPL' A characteristic of the flowering season of the species based on the mean Day of Year of the analysed specimens: if <=180: 'Early', else 'Late' A characteristic of the flowering season of the species based on the spread of the flowering season. Less than 28 days: 'Narrow', larger: 'Large'.

Related Organizations
Keywords

AI, botany, herbarium

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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