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A grid-based database on vascular plant distribution in southern part of Yaroslavl Oblast, Russia

Authors: Frontova, Alena G.;

A grid-based database on vascular plant distribution in southern part of Yaroslavl Oblast, Russia

Abstract

A dataset contains 5,503 unique occurrences of ca. 500 vascular plant species from Pereslavsky and Rostovsky Districts of Yaroslavl Oblast (Russia). They are based on field records by Alena G. Frontova performed in 2014 using a grid scheme. Georeferences are based on WGS84 grid scheme with 31 grid squares. Field recording was performed within a small grid square (2,5′ lat. x 5′ long.). Only one small grid square (SW, SE, NW, or NE) per larger one (5′ lat. x 10′ long.) was sampled. Occurrence is placed in the small grid square centroid. Dataset contains only one occurrence per species per grid square. The dataset is a part of the Bachelor's Paper "Flora of the southern tip of Yaroslavl Oblast" (Frontova, 2015) supervised by Dr. A.P. Seregin. Voucher specimens were trasfered to the Moscow University Herbarium and are available via the "Moscow University Herbarium (MW)" dataset (https://www.gbif.org/dataset/902c8fe7-8f38-45b0-854e-c324fed36303).

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Keywords

Occurrence, Observation

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citations
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!
2
Average
Average
Average
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