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Quarto GHA Workflow Runner committed Sep 10, 2024
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2 changes: 1 addition & 1 deletion .nojekyll
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2 changes: 2 additions & 0 deletions mod_reproducibility.html
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Expand Up @@ -996,6 +996,7 @@ <h3 class="anchored" data-anchor-id="papers-documents">Papers &amp; Documents</h
<section id="workshops-courses" class="level3">
<h3 class="anchored" data-anchor-id="workshops-courses">Workshops &amp; Courses</h3>
<ul>
<li>Csik, S. <em>et al.</em> UCSB <a href="https://ucsb-meds.github.io/README-guidelines/">Master of Environmental Data Science (MEDS) README Guidelines</a>. <strong>2024</strong>.</li>
<li>The Carpentries. <a href="https://datacarpentry.org/R-ecology-lesson/00-before-we-start.html">Data Analysis and Visualization in R for Ecologists: Before We Start</a>. <strong>2024</strong>.</li>
<li>The Carpentries. <a href="https://datacarpentry.org/r-intro-geospatial/02-project-intro.html">Introduction to R for Geospatial Data: Project Management with RStudio</a>. <strong>2024</strong>.</li>
<li>National Center for Ecological Analysis and Synthesis (NCEAS) Learning Hub. <a href="https://learning.nceas.ucsb.edu/2023-10-coreR/session_05.html">coreR: FAIR and CARE Principles</a>. <strong>2023</strong>.</li>
Expand All @@ -1005,6 +1006,7 @@ <h3 class="anchored" data-anchor-id="workshops-courses">Workshops &amp; Courses<
<section id="websites" class="level3">
<h3 class="anchored" data-anchor-id="websites">Websites</h3>
<ul>
<li>Briney, K. <a href="https://caltechlibrary.github.io/RDMworkbook/">Research Data Management Workbook</a>. <strong>2024</strong>.</li>
<li>Google. <a href="http://adv-r.had.co.nz/Style.html">Style Guide</a>. <strong>2024</strong>.</li>
<li>LTER Scientific Computing Team. <a href="https://lter.github.io/scicomp/wg_team-coding.html">Team Coding: 5 Essentials</a>. <strong>2024</strong>.</li>
<li>Lowndes, J.S. <em>et al.</em> <a href="https://openscapes.github.io/documenting-things/#/title-slide">Documenting Things: Openly for Future Us</a>. <strong>2023</strong>. <em>posit::conf(2023)</em></li>
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2 changes: 1 addition & 1 deletion search.json
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"href": "mod_reproducibility.html#additional-resources",
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"text": "Additional Resources\n\nPapers & Documents\n\nBritish Ecological Society (BES). Better Science Guides: Reproducible Code. 2024.\nEnglehardt, C. et al. FAIR Teaching Handbook. 2024.\nJennings, L. et al. Applying the ‘CARE Principles for Indigenous Data Governance’ to Ecology and Biodiversity Research. 2023. Nature Ecology & Evolution\nWickham, H. & Bryan, J. R Packages (2nd ed.). 2023.\nTrisovic, A. et al. A Large-Scale Study on Research Code Quality and Execution. 2022. Scientific Data\n\n\n\nWorkshops & Courses\n\nThe Carpentries. Data Analysis and Visualization in R for Ecologists: Before We Start. 2024.\nThe Carpentries. Introduction to R for Geospatial Data: Project Management with RStudio. 2024.\nNational Center for Ecological Analysis and Synthesis (NCEAS) Learning Hub. coreR: FAIR and CARE Principles. 2023.\nNational Center for Ecological Analysis and Synthesis (NCEAS) Learning Hub. coreR: Reproducibility & Provenance. 2023.\n\n\n\nWebsites\n\nGoogle. Style Guide. 2024.\nLTER Scientific Computing Team. Team Coding: 5 Essentials. 2024.\nLowndes, J.S. et al. Documenting Things: Openly for Future Us. 2023. posit::conf(2023)\nWickham, H. Advanced R: Style Guide. (1st ed.). 2019.\nvan Rossum, G. et al. PEP 8: Style Guide for Python Code. 2013. Python Enhancement Proposals",
"text": "Additional Resources\n\nPapers & Documents\n\nBritish Ecological Society (BES). Better Science Guides: Reproducible Code. 2024.\nEnglehardt, C. et al. FAIR Teaching Handbook. 2024.\nJennings, L. et al. Applying the ‘CARE Principles for Indigenous Data Governance’ to Ecology and Biodiversity Research. 2023. Nature Ecology & Evolution\nWickham, H. & Bryan, J. R Packages (2nd ed.). 2023.\nTrisovic, A. et al. A Large-Scale Study on Research Code Quality and Execution. 2022. Scientific Data\n\n\n\nWorkshops & Courses\n\nCsik, S. et al. UCSB Master of Environmental Data Science (MEDS) README Guidelines. 2024.\nThe Carpentries. Data Analysis and Visualization in R for Ecologists: Before We Start. 2024.\nThe Carpentries. Introduction to R for Geospatial Data: Project Management with RStudio. 2024.\nNational Center for Ecological Analysis and Synthesis (NCEAS) Learning Hub. coreR: FAIR and CARE Principles. 2023.\nNational Center for Ecological Analysis and Synthesis (NCEAS) Learning Hub. coreR: Reproducibility & Provenance. 2023.\n\n\n\nWebsites\n\nBriney, K. Research Data Management Workbook. 2024.\nGoogle. Style Guide. 2024.\nLTER Scientific Computing Team. Team Coding: 5 Essentials. 2024.\nLowndes, J.S. et al. Documenting Things: Openly for Future Us. 2023. posit::conf(2023)\nWickham, H. Advanced R: Style Guide. (1st ed.). 2019.\nvan Rossum, G. et al. PEP 8: Style Guide for Python Code. 2013. Python Enhancement Proposals",
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50 changes: 25 additions & 25 deletions sitemap.xml
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