Cary Institute

File(s) under permanent embargo

Reason: This dataset contains personally identifiable information.

Confidential data archive for: Ecological complexity, mosquito production, and disease risk

Version 3 2022-09-30, 17:38
Version 2 2022-04-22, 14:57
Version 1 2022-04-22, 14:46
posted on 2022-09-30, 17:38 authored by Shannon LaDeauShannon LaDeau, Dawn Biehler, Rebecca Jordan, Paul LeisnhamPaul Leisnham, Sacoby Wilson

This confidential dataset contains adult mosquito surveys and sampling data by species and date, as well as neighborhood and environmental sensor data for research conducted in neighborhoods in Baltimore, Maryland USA (2012-2017).  

This dataset includes the following files:

Metadata.docx.  Descriptive metadata for all sheets including confidential data files.  

MASTERcontainer12_13_14_15_16_Master.xlsx.  These are data from container surveys conducted between 2012-2016.  

MASTERsurvey12_13_14_16_v20220928.xlsx. Surveys of residents in sample neighborhood blocks in years 2012, 2013, 2014, and 2016.  

MASTERadult.xlsx.  Counts and identification of (primarily) female adult mosquitoes that were actively trapped over years and block clusters.  

Bloodfed.MASTER.xlsx.  Includes identification of blood meal source of 2015 and 2016 subsamples of adult female mosquitoes. 

Master_iButton.xlsx.   Raw relative humidity and temperature data recorded by iButton during 2015-2017 as well as year-long summaries by sensor for 2016 and 2017. 

YardMatrices.xlsx. Contains a matrix (yardmat.year) for each year and a matrix for each year with sampling periods distinguished (season.year).  






Spatial zip archive containing a variety of information regarding the geography and temporal condition data for the sampled blocks and trap sites and other miscellaneous site condition/treatment data.  The files included are an Excel workbook with several sheets, shapefiles and R code for visualizing blocks and trap sites.  

For published papers resulting from this work, please see the public data archive located here.  

Questions about these data should be directed to Dr. Shannon LaDeau, or Cary Data Management, 


National Science Foundation - Coupled Natural Human Systems award (DEB 1211797)