Larval site characteristics of mosquito Aedes aegypti in Rabai, Kenya

<p>This dataset is described and analyzed in the paper: "Xia, S., Dweck, H. K. M., Lutomiah, J., Sang, R., McBride, C. S., Rose, N. H., Ayala, D., &amp; Powell, J. R. (2021). Larval sites of the mosquito <em>Aedes aegypti formosus</em> in forest and domestic habitats in Africa and the potential association with oviposition evolution. Ecology and Evolution, 00, 1– 17. https://doi.org/10.1002/ece3.8332"</p> <p>The mosquito <em>Ae. aegypti</em> is a major vector of several arboviral diseases. In Africa, <em>Ae. aegypti</em> can be found in both ancestral forest habitats and human-made domestic habitats, such as villages. They also use different types of containers as larval sites: while the forest <em>Ae. aegypti </em>use tree holes and rock pools, the domestic populations rely mostly on artificial contains such as plastic buckets. As an initial attempt to better understand <em>Ae. aegypti</em> larval ecology and evolution in different habitats, we characterized the microenvironment of their larval sites in both habitats and compare them. We focus on two localities in Africa: La Lope in Gabon, and Rabai in Kenya. The current dataset contains data from Rabai and the La Lope data can be found in a different dataset (DOI:10.5061/dryad.7m0cfxprg). In this dataset, we characterized 31 <em>Ae. aegypti</em> larval site from four Rabai villages and 37 larval sites from the Rabai forest. Specifically, the first ten columns of the dataset provide basic information of each larval site, such as sampling location, date, and habitat, etc. The data also includes the measures of 16 physical variables of each larva site. These variables describe the size of the container, ambient environment such as temperature and humidity, and water pH and conductivity, etc. Lastly, the dataset has the number of <em>Ae. aegypti</em> and other mosquito species found in each larval site, as well as measures of microbial density. In addition, we also examined the chemical composition of volatiles from a subset of 42 larval sites. Using GC-MS, we identified chemical compounds in each larval site. Using these datasets, we found that forest and village larval sites have different microenvironments. The detailed analysis and discussion can be found in the paper. We hope this dataset could provide useful basic ecological information on <em>Ae. aegypti</em> larval habitat in Africa. We encourage future studies to explore this dataset and generate more hypotheses on <em>Ae. aegypti</em> ecology and evolution. </p>