<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>D. J. Baird | GAEC Lab</title><link>https://gaec-lab.netlify.app/author/d.-j.-baird/</link><atom:link href="https://gaec-lab.netlify.app/author/d.-j.-baird/index.xml" rel="self" type="application/rss+xml"/><description>D. J. Baird</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><copyright>© GAEC Lab</copyright><lastBuildDate>Wed, 16 Nov 2016 00:00:00 +0000</lastBuildDate><image><url>https://gaec-lab.netlify.app/images/icon_hu5dd5e2c0f86264785369ae228524fd99_8773_512x512_fill_lanczos_center_2.png</url><title>D. J. Baird</title><link>https://gaec-lab.netlify.app/author/d.-j.-baird/</link></image><item><title>Big data opportunities and challenges for assessing multiple stressors across scales in aquatic ecosystems</title><link>https://gaec-lab.netlify.app/publication/2015-10-22-dafforn-tulbure/</link><pubDate>Wed, 16 Nov 2016 00:00:00 +0000</pubDate><guid>https://gaec-lab.netlify.app/publication/2015-10-22-dafforn-tulbure/</guid><description/></item></channel></rss>