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https://willpearse.github.io/software/

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64  <h1 id="software">Software</h1>
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70      <pubtit>AREAData: automatically updating epidemiological data pipeline</pubtit>
71      <p><img src="/images/AREAData.png" class="img-responsive" width="33%" style="float: left" /></p>
72      <p>Daily climate and human data, automatically updated and released in a format to support epidemiological forecasting.</p>
73      <p><em>TP Smith, M Stemkovski, A Koontz, WD Pearse</em></p>
74      <p><strong><a href="https://pearselab.github.io/areadata/">Data in Brief 43: 108438</a></strong></p>
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82      <pubtit>Tyrell: COVID-19 toolkit</pubtit>
83      <p><img src="/images/tyrell-building.jpg" class="img-responsive" width="33%" style="float: left" /></p>
84      <p>Internal reproducible data cleaning and analysis pipeline to support our funded COVID-19 work</p>
85      <p><em>TP Smith, WD Pearse</em></p>
86      <p><strong><a href="https://github.com/pearselab/">https://github.com/pearselab/</a></strong></p>
87      <p class="text-danger"><strong> </strong></p>
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98      <pubtit>SymbiotaR2: Symbiota2 R interface</pubtit>
99      <p><img src="/images/ropensci.png" class="img-responsive" width="33%" style="float: left" /></p>
100      <p>R Package for searching and downloading data stored in a Symbiota2 portal</p>
101      <p><em>Koontz A, Brandt B, Dyreson C, and Pearse WD</em></p>
102      <p><strong><a href="https://github.com/ropensci/SymbiotaR2">Journal of Open Source Software 5(56): 2917</a></strong></p>
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110      <pubtit>pez: phylogenetics for the environmental s(z)ciences</pubtit>
111      <p><img src="/images/pearse-2014-review.png" class="img-responsive" width="33%" style="float: left" /></p>
112      <p>R package to calculate phylogenetic diversity metrics, Phylogenetic Generalized Linear Mixed Models, and more.</p>
113      <p><em>Pearse WD, Cadotte MW, Cavender-Bares J, Ives AR, Tucker CM, Walker SC, Helmus MR</em></p>
114      <p><strong><a href="https://academic.oup.com/bioinformatics/article/31/17/2888/183404">Bioinformatics 31(17): 2888-2890</a></strong></p>
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126      <pubtit>phyloGenerator: an automated phylogeny generation tool for ecologists</pubtit>
127      <p><img src="/images/phyloGenerator.png" class="img-responsive" width="33%" style="float: left" /></p>
128      <p>Python (version 1) and Ruby (version 2) program that automates phylogeny construction. Awarded the Robert May Prize by the British Ecological Society.</p>
129      <p><em>Pearse WD, Purvis A</em></p>
130      <p><strong><a href="https://besjournals.onlinelibrary.wiley.com/doi/full/10.1111/2041-210X.12055">Methods in Ecology and Evolution 4(7): 692-698</a></strong></p>
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138      <pubtit>Suppdata: downloading supplementary data from published manuscripts</pubtit>
139      <p><img src="/images/ropensci.png" class="img-responsive" width="33%" style="float: left" /></p>
140      <p>R package to download the supplementary data from papers using only their DOI</p>
141      <p><em>Pearse WD, Chamberlain SA, with vital contributions from <a href="https://nuest.staff.ifgi.de">
141Daniel Nüst</a></em></p>
142      <p><strong><a href="https://www.theoj.org/joss-papers/joss.00721/10.21105.joss.00721.pdf">Journal of Open Source Software 3(25): 721</a></strong></p>
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154      <pubtit>phest: phenology estimation</pubtit>
155      <p><img src="/images/pearse-2017-pullout.png" class="img-responsive" width="33%" style="float: left" /></p>
156      <p>R package that calculates phenology estimators</p>
157      <p><em>Pearse WD, Stemkovski M</em></p>
158      <p><strong><a href="https://github.com/willpearse/phest">https://github.com/willpearse/phest</a></strong></p>
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166      <pubtit>MADtraits: Make A Database of traits</pubtit>
167      <p><img src="/images/natdb-coverage.png" class="img-responsive" width="33%" style="float: left" /></p>
168      <p>R package that automates the download of over 4 million pieces of trait data</p>
169      <p><em><a href="https://usubionerdherd.github.io">The Bio Nerd Herd (run by the Pearse Lab)</a></em></p>
170      <p><strong><a href="https://github.com/willpearse/MADtraits">https://github.com/willpearse/MADtraits</a></strong></p>
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182      <pubtit>MADcomm: Make A Database of community data</pubtit>
183      <p><img src="/images/nacdb-coverage.png" class="img-responsive" width="33%" style="float: left" /></p>
184      <p>R package that automates the download of over 16 million pieces of ecological community data</p>
185      <p><em><a href="https://usubionerdherd.github.io">The Bio Nerd Herd (run by the Pearse Lab)</a></em></p>
186      <p><strong><a href="https://github.com/willpearse/MADcomm">https://github.com/willpearse/MADcomm</a></strong></p>
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194      <pubtit>Austin: MCMCMC for the brave</pubtit>
195      <p><img src="/images/austin-city.jpg" class="img-responsive" width="33%" style="float: left" /></p>
196      <p>C++ Multiple Chain Monte Carlo Markov Chain. Really more of a toy, but useful for classwork</p>
197      <p><em>Pearse WD</em></p>
198      <p><strong><a href="https://github.com/willpearse/astin">https://github.com/willpearse/astin</a></strong></p>
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217		  <p>&copy 2024 Pearse Lab. Site made with <a href="https://jekyllrb.com">Jekyll</a> from the <a href="https://www.allanlab.org"all>Allan Lab</a> template</p>
218              <p>Part of <a href="https://www.imperial.ac.uk/">ICL</a>'s <a href="https://www.imperial.ac.uk/life-sciences/">Department of Life Sciences</a> and <a href="https://www.turing.ac.uk/">the Alan Turing Institute</a>.</p>
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221		  <p>We use species evolutionary history to understand and predict their ecology.</p>
222		  <p>Grateful for funding from <a href="https://www.ukri.org/councils/nerc/">UKRI/NERC</a>, <a href="https://www.ukri.org/councils/bbsrc/">UKRI/BBSRC</a>, and others.</p>
223		  <p>
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226		  Silwood Park, Imperial College London<br />
227		  Buckhurst Rd, Berkshire, SL5 7PY, UK<br />
228		  (+44) (0)20 7594 2322<br />
229		  <a href="mailto:[email protected]">[email protected]</a> <br />
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