Data and code for: A global dataset of non-native distributions and biological and ecological traits for disease-vector mosquitoes

This deposit contains two taxonomically integrated, harmonized and complementary datasets covering 184 mosquito species of public health relevance. These datasets are designed to support cross-region comparisons, invasion and disease risk assessments, and reproducible research in ecology, biogeography, and public health. Included files: 1. Mosquito_Introduction_db Non-native mosquito species introduction records. List of the included vector species and list of world regions used to standardize data collection. The introduction records include information the year of first record, establishment status (e.g., established, eradicated, or introduced but not established), and pathways of introduction. This consists of 4 files: 1) legend, 2) introduction records, 3) standardized regions derived from GADM spatial boundaries, 4) list of species that qualified for inclusion in the data collection. 2. Mosquito_traits_db Species level trait dataset for 184 vector mosquito species containing 20 unique traits encoded as 46 variables describing ecological, life-history, and macroecological characteristics. This data collection consists of 4 files: 1) legend, 2) mosquito trait collection, 3) source ID for each field in the mosquito trait collection, 4) source links. 3. 03Pabst2026_Script.zip Scripted workflow for extracting and summarizing derived trait variables based on species occurrence.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-28
DOI
https://doi.org/10.5281/zenodo.20429986
Primary Topic
Mosquito-borne diseases and control
Type
article
Field-Weighted Citation Impact
0.00
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article

Data and code for: A global dataset of non-native distributions and biological and ecological traits for disease-vector mosquitoes

Rebecca Pabst, César Capinha, Steffen Knoblauch, A. Marler et al.
Zenodo (CERN European Organization for Nuclear Research)
Mosquito-borne diseases and control
article

Data and code for: A global dataset of non-native distributions and biological and ecological traits for disease-vector mosquitoes

Rebecca Pabst, César Capinha, Steffen Knoblauch, A. Marler, Carla Sousa
article en

Abstract

This deposit contains two taxonomically integrated, harmonized and complementary datasets covering 184 mosquito species of public health relevance. These datasets are designed to support cross-region comparisons, invasion and disease risk assessments, and reproducible research in ecology, biogeography, and public health. Included files: 1. Mosquito_Introduction_db Non-native mosquito species introduction records. List of the included vector species and list of world regions used to standardize data collection. The introduction records include information the year of first record, establishment status (e.g., established, eradicated, or introduced but not established), and pathways of introduction. This consists of 4 files: 1) legend, 2) introduction records, 3) standardized regions derived from GADM spatial boundaries, 4) list of species that qualified for inclusion in the data collection. 2. Mosquito_traits_db Species level trait dataset for 184 vector mosquito species containing 20 unique traits encoded as 46 variables describing ecological, life-history, and macroecological characteristics. This data collection consists of 4 files: 1) legend, 2) mosquito trait collection, 3) source ID for each field in the mosquito trait collection, 4) source links. 3. 03Pabst2026_Script.zip Scripted workflow for extracting and summarizing derived trait variables based on species occurrence.

Zenodo (CERN European Organization for Nuclear Research)
University of Lisbon (PT), University of Colorado Boulder (US), Heidelberg University (DE), University of Colorado System (US), Zoological Research Museum Alexander Koenig (DE), Universidade Nova de Lisboa (PT)
Openalex Percentile: Top 5%
Mosquito-borne diseases and control
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