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United States LEMIS wildlife trade data curated by EcoHealth Alliance

Authors: Eskew, Evan A.; White, Allison M.; Ross, Noam; Smith, Kristine M.; Smith, Katherine F.; Rodríguez, Jon Paul; Zambrana-Torrelio, Carlos; +2 Authors

United States LEMIS wildlife trade data curated by EcoHealth Alliance

Abstract

Shared here are United States Fish and Wildlife Service (USFWS) Law Enforcement Management Information System (LEMIS) data on wildlife and wildlife product imports into the United States. This data was obtained via Freedom of Information Act (FOIA) requests by EcoHealth Alliance. Data were curated, cleaned, and made accessible via an R package interface: https://github.com/ecohealthalliance/lemis. Additionally, a summary of a portion of the data can be found in Smith et al. 2017, EcoHealth (https://doi.org/10.1007/s10393-017-1211-7). lemis_2000_2014_cleaned.csv: This file represents the compiled, cleaned LEMIS data from 2000-2014. This data is identical to the version 1.1.0 dataset available through the lemis R package. lemis_codes.csv: Full values for all coded values used in the LEMIS data. Identical to the output from the lemis R package function "lemis_codes()". lemis_metadata.csv: Data fields and field descriptions for all variables in the LEMIS data. Identical to the output from the lemis R package function "lemis_metadata()". raw_data.zip: This archive contains all of the raw LEMIS data files that are processed and cleaned with the code contained in the 'data-raw' subdirectory of the lemis R package repository.

{"references": ["Smith, Kristine M. et al. (2017). Summarizing US wildlife trade with an eye toward assessing the risk of infectious disease introduction. EcoHealth 14: 29-39."]}

Keywords

conservation biology, international trade, legal trade, wildlife trade

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download
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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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6
Top 10%
Average
Top 10%
296
372