Name File Type Size Last Modified
Data_Dictionary_Edited_PestLens_Articles_Data_2008-2018.csv text/csv 28 KB 06/26/2026 12:07:PM
Edited_PestLens_articles_data_2008-2018.xlsx application/vnd.openxmlformats-officedocument.spreadsheetml.sheet 219.3 KB 06/26/2026 12:07:PM
adc_metadata.json application/json 22.7 KB 06/27/2026 08:13:AM
catalog_detail.html text/html 11.1 KB 06/26/2026 12:07:PM

Project Citation: 

US Department of Agriculture, and National Agricultural Library. Data from: Taxonomic, geographic, and diversity trends for exotic plant pests in recent biosurveillance articles. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2026-06-27. https://doi.org/10.3886/E250457V1

Project Description

Project Title:  View help for Project Title Data from: Taxonomic, geographic, and diversity trends for exotic plant pests in recent biosurveillance articles
Summary:  View help for Summary Data scraped from an online repository of 1,925 articles collected by the biosurveillance program, PestLens, from 2008-2018, and then edited. The 1,612 edited records shown had usable information for report date, pest species taxonomy and type, and country of report. Tabs are also included for the complete list of genera used to try to match extracted information, as well as a final list of all matched genera and their pest type. This data were used to identify significant and meaningful trends, patterns, or relationships in pest reporting over time, perhaps to better identify problematic pests.

PestLens is a Plant Protection and Quarantine (PPQ) biosurveillance system wherein analysts search online, open-source material for information on exotic plant pests that have relevance to plant health in the United States (https://pestlens.info/). The objectives are to provide early-warning information about those pests, and to facilitate timely and appropriate safeguarding responses. PestLens provides a web-based platform for disseminating collected information, and documenting safeguarding decisions and resulting actions. PestLens has collected open-source reports about plant pests exotic to the United States since 2007.


Resources in this dataset:

Resource Title: File Edited PestLens articles data 2008-2018. File Name: Edited PestLens articles data 2008-2018.xlsxResource Description: Data on pest taxonomy and type, date of weekly summary, and country of report for articles on potentially invasive species of importance to the United States

Resource Title: File Edited PestLens articles data 2008-2018.

File Name: Edited PestLens articles data 2008-2018.xlsx

Resource Description: Data on pest taxonomy and type, date of weekly summary, and country of report for articles on potentially invasive species of importance to the United States

Resource Title: Data Dictionary for Edited PestLens Articles Data 2008-2018. File Name: Data Dictionary Edited PestLens Articles Data 2008-2018.csv

Resource Title: Data Dictionary for Edited PestLens Articles Data 2008-2018.

File Name: Data Dictionary Edited PestLens Articles Data 2008-2018.csv
Original Distribution URL:  View help for Original Distribution URL https://agdatacommons.nal.usda.gov/articles/dataset/Data_from_Taxonomic_geographic_and_diversity_trends_for_exotic_plant_pests_in_recent_biosurveillance_articles/24666072

Scope of Project

Subject Terms:  View help for Subject Terms biosurveillance; Invasive species; pest detection; pest prioritization
Geographic Coverage:  View help for Geographic Coverage United States
Time Period(s):  View help for Time Period(s) 1/9/2008 – 12/20/2018
Data Type(s):  View help for Data Type(s) observational data
Collection Notes:  View help for Collection Notes DOI: 10.15482/USDA.ADC/1522304 Citation: PestLens (2019) Preclearance and Offshore Programs, Plant Protection and Quarantine, U.S. Department of Agriculture, and Center for Integrated Pest Management, North Carolina State University. https://pestlens.info/ (2021). Data from: Taxonomic, geographic, and diversity trends for exotic plant pests in recent biosurveillance articles. Ag Data Commons. https://doi.org/10.15482/USDA.ADC/1522304 (Downloaded 2026-06-26)


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