Spellchecks

#36

content/materials/day3/02-data/index.Rmarkdown

@@ -72,7 +72,7 @@ The [piggyback](https://docs.ropensci.org/piggyback) R package provides a set of
 
 However, GitHub releases don't provide a lot of the useful features of data repositories, like versioning and Digital Object Identifier (DOI) and rich metadata.
 Some popular and reputable data repositories are [figshare](https://figshare.com/), the [Open Science Framework](https://osf.io/) and [Mendeley Data](https://data.mendeley.com/).
-Each has its own pros and cons, but in this workshop we will use [Zeonodo](https://zenodo.org/) because it's free, offers a generous 50GB limit per dataset, assigns Digital Object Identifier (DOI), supports versioning, and it integrates well with GitHub.
+Each has its own pros and cons, but in this workshop we will use [Zenodo](https://zenodo.org/) because it's free, offers a generous 50GB limit per dataset, assigns Digital Object Identifier (DOI), supports versioning, and it integrates well with GitHub.
 Also because we've used it, so we are more familiar with it.
 
 ## Using Zenodo for data hosting
@@ -84,9 +84,9 @@ This allows you or anyone else to cite these data and also allows you to upload
 
 <div class = notes> 
 
-Zeonodo Sandbox
+Zenodo Sandbox
 
-Data uploaded to Zeonodo cannot be deleted.
+Data uploaded to Zenodo cannot be deleted.
 Since we are going to upload test data, we are going to use [Zenodo Sandbox](https://sandbox.zenodo.org/).
 </div>
 
@@ -95,9 +95,9 @@ Since we are going to upload test data, we are going to use [Zenodo Sandbox](htt
 Go do [sandbox.zenodo.org](https://sandbox.zenodo.org/) and log in (create an account or use your GitHub account if necessary).
 To upload a dataset you need to click on Upload.
 
-(ref:zenodo-upload-1-cap) Zeonodo upload. As you can see, datasets are permanent and this user had already uploaded one test dataset in preparation for writing this.
+(ref:zenodo-upload-1-cap) Zenodo upload. As you can see, datasets are permanent and this user had already uploaded one test dataset in preparation for writing this.
 
-(ref:zenodo-upload-1-alt) Screenshot of Zenodo's page after clicking Upload on the main page. It shows a list with one entry, called "PEnguins" and a green button titled "New Upload".
+(ref:zenodo-upload-1-alt) Screenshot of Zenodo's page after clicking Upload on the main page. It shows a list with one entry, called "Penguins" and a green button titled "New Upload".
 
 ```{r zenodo-upload-1, echo=FALSE, fig.alt="(ref:zenodo-upload-1-alt)", fig.cap="(ref:zenodo-upload-1-cap)"}
 knitr::include_graphics("images/zenodo-upload_1.png")
@@ -106,7 +106,7 @@ knitr::include_graphics("images/zenodo-upload_1.png")
 You will see a list of your previously-uploaded datasets which in your case might be empty.
 Now you need to click on "New Upload".
 
-(ref:zenodo-upload-2-cap) Zeonodo upload section.
+(ref:zenodo-upload-2-cap) Zenodo upload section.
 
 (ref:zenodo-upload-2-alt) Screenshot of Zenodo's New Upload page. It shows a big area where to drop file with a button to Chose files.
 
@@ -117,15 +117,15 @@ knitr::include_graphics("images/zenodo-upload_2.png")
 In this new section you can drag and drop your files on the big area or click on "Choose files" to open a file chooser.
 A single dataset can have multiple files.
 
-(ref:zenodo-upload-3-cap) Zeonodo upload section.
+(ref:zenodo-upload-3-cap) Zenodo upload section.
 
 (ref:zenodo-upload-3-alt) Screenshot of Zenodo's New Upload page scrolled down. It shows a list of options for metadata.
 
 ```{r zenodo-upload-3, echo=FALSE, fig.alt="(ref:zenodo-upload-3-alt)", fig.cap="(ref:zenodo-upload-3-cap)"}
 knitr::include_graphics("images/zenodo-upload_3.png")
 ```
 
-Zeonodo supports multiple types of records.
+Zenodo supports multiple types of records.
 Beside datasets, you could create a DOI for your entire publication, or for individual images.
 This is the lesson about datasets, so you need to select "Dataset" as the upload type.
 
@@ -139,7 +139,7 @@ Don't stress yourself too much about the correctness of each field, you can alwa
 
 The last step is to click the "Publish" button at the bottom of the page and your dataset will be published.
 
-(ref:zenodo-upload-4-cap) Zeonodo record viewer
+(ref:zenodo-upload-4-cap) Zenodo record viewer
 
 (ref:zenodo-upload-4-alt) Screenshot of Zenodo's record viewer. It shows a record titled "Test Upload 2", a preview of the dataset, an "Edit" button, a "New Version" button, and information on the publication date, DOI and Licence.
 
@@ -173,7 +173,7 @@ This involves minimal effort but it introduces error-prone manual steps and thus
 
 If you go to a Zenodo record, below the file preview you will see a box with the list of files in it.
 
-(ref:file-list-cap) Lis of files in the example database.
+(ref:file-list-cap) List of files in the example database.
 
 (ref:file-list-alt) Screenshot of Zenodo's list of files in the example database. It shows one file called penguins.csv. To the right there's a "Preview" button and a "download" button and below it an md5 checksum.
 
@@ -235,7 +235,7 @@ Improve report.Rmd
 
 Dataset functions
 
-This approach to managing data can be greately extended to add all sorts of "smarts" to `download_penguins()`. 
+This approach to managing data can be greatly extended to add all sorts of "smarts" to `download_penguins()`. 
 For example, it could ensure data integrity by matching that the data matches a known md5 hash or create a citation for the data. 
 
 </div>

content/materials/day3/02-data/index.markdown

@@ -72,7 +72,7 @@ The [piggyback](https://docs.ropensci.org/piggyback) R package provides a set of
 
 However, GitHub releases don't provide a lot of the useful features of data repositories, like versioning and Digital Object Identifier (DOI) and rich metadata.
 Some popular and reputable data repositories are [figshare](https://figshare.com/), the [Open Science Framework](https://osf.io/) and [Mendeley Data](https://data.mendeley.com/).
-Each has its own pros and cons, but in this workshop we will use [Zeonodo](https://zenodo.org/) because it's free, offers a generous 50GB limit per dataset, assigns Digital Object Identifier (DOI), supports versioning, and it integrates well with GitHub.
+Each has its own pros and cons, but in this workshop we will use [Zenodo](https://zenodo.org/) because it's free, offers a generous 50GB limit per dataset, assigns Digital Object Identifier (DOI), supports versioning, and it integrates well with GitHub.
 Also because we've used it, so we are more familiar with it.
 
 ## Using Zenodo for data hosting
@@ -84,9 +84,9 @@ This allows you or anyone else to cite these data and also allows you to upload
 
 <div class = notes> 
 
-Zeonodo Sandbox
+Zenodo Sandbox
 
-Data uploaded to Zeonodo cannot be deleted.
+Data uploaded to Zenodo cannot be deleted.
 Since we are going to upload test data, we are going to use [Zenodo Sandbox](https://sandbox.zenodo.org/).
 </div>
 
@@ -100,8 +100,8 @@ To upload a dataset you need to click on Upload.
 
 
 <div class="figure">
-<img src="images/zenodo-upload_1.png" alt="Screenshot of Zenodo’s page after clicking Upload on the main page. It shows a list with one entry, called “PEnguins” and a green button titled “New Upload”." width="634" />
-<p class="caption"><span id="fig:zenodo-upload-1"></span>Figure 1: Zeonodo upload. As you can see, datasets are permanent and this user had already uploaded one test dataset in preparation for writing this.</p>
+<img src="images/zenodo-upload_1.png" alt="Screenshot of Zenodo’s page after clicking Upload on the main page. It shows a list with one entry, called “Penguins” and a green button titled “New Upload”." width="634" />
+<p class="caption"><span id="fig:zenodo-upload-1"></span>Figure 1: Zenodo upload. As you can see, datasets are permanent and this user had already uploaded one test dataset in preparation for writing this.</p>
 </div>
 
 You will see a list of your previously-uploaded datasets which in your case might be empty.
@@ -113,7 +113,7 @@ Now you need to click on "New Upload".
 
 <div class="figure">
 <img src="images/zenodo-upload_2.png" alt="Screenshot of Zenodo’s New Upload page. It shows a big area where to drop file with a button to Chose files." width="634" />
-<p class="caption"><span id="fig:zenodo-upload-2"></span>Figure 2: Zeonodo upload section.</p>
+<p class="caption"><span id="fig:zenodo-upload-2"></span>Figure 2: Zenodo upload section.</p>
 </div>
 
 In this new section you can drag and drop your files on the big area or click on "Choose files" to open a file chooser.
@@ -125,10 +125,10 @@ A single dataset can have multiple files.
 
 <div class="figure">
 <img src="images/zenodo-upload_3.png" alt="Screenshot of Zenodo’s New Upload page scrolled down. It shows a list of options for metadata." width="634" />
-<p class="caption"><span id="fig:zenodo-upload-3"></span>Figure 3: Zeonodo upload section.</p>
+<p class="caption"><span id="fig:zenodo-upload-3"></span>Figure 3: Zenodo upload section.</p>
 </div>
 
-Zeonodo supports multiple types of records.
+Zenodo supports multiple types of records.
 Beside datasets, you could create a DOI for your entire publication, or for individual images.
 This is the lesson about datasets, so you need to select "Dataset" as the upload type.
 
@@ -148,7 +148,7 @@ The last step is to click the "Publish" button at the bottom of the page and you
 
 <div class="figure">
 <img src="images/zenodo-upload_4.png" alt="Screenshot of Zenodo’s record viewer. It shows a record titled “Test Upload 2”, a preview of the dataset, an “Edit” button, a “New Version” button, and information on the publication date, DOI and Licence." width="634" />
-<p class="caption"><span id="fig:zenodo-upload-4"></span>Figure 4: Zeonodo upload section.</p>
+<p class="caption"><span id="fig:zenodo-upload-4"></span>Figure 4: Zenodo upload section.</p>
 </div>
 
 Once the dataset is uploaded you will be able to see the result.
@@ -183,7 +183,7 @@ If you go to a Zenodo record, below the file preview you will see a box with the
 
 <div class="figure">
 <img src="images/file_list.png" alt="Screenshot of Zenodo’s list of files in the example database. It shows one file called penguins.csv. To the right there’s a “Preview” button and a “download” button and below it an md5 checksum." width="412" />
-<p class="caption"><span id="fig:file-list"></span>Figure 5: Lis of files in the example database.</p>
+<p class="caption"><span id="fig:file-list"></span>Figure 5: List of files in the example database.</p>
 </div>
 
 The nice bit here is the "Download" button.
@@ -242,7 +242,7 @@ Improve report.Rmd
 
 Dataset functions
 
-This approach to managing data can be greately extended to add all sorts of "smarts" to `download_penguins()`. 
+This approach to managing data can be greatly extended to add all sorts of "smarts" to `download_penguins()`. 
 For example, it could ensure data integrity by matching that the data matches a known md5 hash or create a citation for the data. 
 
 </div>

reproducibility-with-r.Rproj

@@ -20,4 +20,4 @@ BuildType: Website
 
 MarkdownWrap: Sentence
 
-SpellingDictionary: en_GB
+SpellingDictionary: en_AU