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Biodiversity Data Journal
Article . 2022 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Biodiversity Data Journal
Article . 2022
Data sources: DOAJ
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ZENODO
Article . 2022
License: CC BY
Data sources: ZENODO
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Pensoft
Data Paper . 2022
Data sources: Pensoft
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Database of butterfly and moth observations in the Netherlands: research from 1947-2020

Authors: François Slieker; Niels Raes;

Database of butterfly and moth observations in the Netherlands: research from 1947-2020

Abstract

The Natural History Museum Rotterdam (NMR) is a regional natural history museum in The Netherlands that focuses on nature and biodiversity of the city of Rotterdam and its surroundings. Bureau Stadsnatuur Rotterdam (bSR) is part of the NMR and collects, mainly on behalf of third parties, data on the flora and fauna from primarily urban areas. The NMR has received a large amount of observation data (1,363 different species in 886,902 observations), in particular of moths and mainly from the Provinces of Zuid-Holland, Noord-Holland and Noord-Brabant from the period 1947-2020. The observation dataset was compiled and standardised from 18 different datasets and stored in a database and published at the Global Biodiversity Information Facility (GBIF). For the first time, a large butterfly and moth observations dataset with historical distribution data for The Netherlands is mobilised and serves as a baseline lepidopteran biodiversity record.

Keywords

Lepidoptera, observations, butterflies, QH301-705.5, moths, obse, Biology (General), occurrence, Data Paper (Biosciences), database, Netherlands

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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).
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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.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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