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opensci:2022:jor [2022/06/23 14:20] jorgemopensci:2022:jor [2024/03/23 20:17] (atual) – edição externa 127.0.0.1
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 +<html>
 + <h1>
 +  <strong>
 +Jorge Monteiro
 +  </strong>
 + </h1>
 +<p style="text-align: left;"><a href="https://github.com/JoseJorgeMonteiro" target="_blank">GitHub</a>|<a href="https://www.linkedin.com/in/josejorgemonteirojunior/" target="_blank">Linkedin</a>|<a href="https://twitter.com/landsensing" target="_blank">Twitter</a>|<a href="http://lattes.cnpq.br/0911037640720248" target="_blank">CV Lattes</a></p>
 +</html>
 +{{ :opensci:2022:img-20210811-wa0279.jpg?nolink&200|}}
 +<html>
 + <p align = "justify">
 +  <br>
 +   <h3>
 +    <span>
 +    <span>
 +     <strong>
 +    <span class="" style="color: rgb(51, 51, 51); background-color: rgb(255, 255, 255);">
 +Biography
 +    </span>
 +     </strong>
 +    </span>
 +    </span>
 +   </h3>
 +      <div class="editor-indent" style="margin-left: 30px;">
 +  <p align = "justify">
 +Jorge is currently a Master's student in the Forest Resources Grad Program at the
 +University of São Paulo – USP; <p align = "justify"> He was a Resident Fellow in the Agricultural
 +Professional Residency Program offered by the Brazilian Ministry of
 +Agriculture, Livestock and Food Supply, working in Suzano S.A. and the Federal
 +Rural University of Pernambuco. </p><p align = "justify"> He holds a Bachelor's degree in Forestry from
 +the Federal Rural University of Pernambuco (2021). He also has been developing research and studies in both remotely sensed data and geoprocessing for the Brazilian dry forests.</p><p align = "justify"> Jorge enjoys to play piano and to sing out loud whenever he can! </p>    </span>
 +  </p>
 +   </div>
 +     <strong>
 +  <br>
 +     </strong>
 +  <p align = "right">
 +<strong>
 +Quantitative Research Center Lab - ESALQ/USP
 +<br>
 +</strong>
 +<strong>
 +Tel
 +</strong>
 +: +55 19 3447 6676<br>
 +<strong>
 +E-mail
 +</strong>
 +: jorgem@usp.br<br>
  
 +<p>&nbsp;</p>
 +</html>
 +
 +<html><hr>
 +<p style="text-align: justify;">&nbsp; &nbsp; &nbsp; &nbsp; Well, if you accessed this page, it's probably because you're interested in the content produced in the class LCF5900 "Open and Reproducible Scientific Data Processing". There were required 2 main tasks, and here they are:</p>
 +<p style="text-align: justify; padding-left: 40px;"><strong>1.</strong> To develop a Google Colab (Jupyter Notebooks, Python) using Climate Data from Piracicaba<br /><strong>2.</strong> With the same data &amp; results from the first task, develop a RMarkdown!</p>
 +<p style="text-align: justify;">and of course, all the data must be <strong>FAIR</strong>.</p>
 +
 +</html>
 +<html><hr></html>
 +<html><p align = "justify">
 +Here is my google colab <a href=https://colab.research.google.com/drive/1IZ06lOqn8g1drbkdjjA-F9eFBcxyV-Vt?usp=sharing>"Piracicaba's Climograph!"</a>
 +<br/>
 +<p><span>Here is a GitHub with my Rmd.Project "<a href="https://github.com/JoseJorgeMonteiro/Climograma.git" target="_blank" rel="noopener">Piracicaba's Climograph!</a>"</span></p>
 +
 + </p></html>