Use SharePoint instead of CloudStor (CloudStor deprecation project)

ecoacoustics · Dec 21, 2023 · 4b14f1a · 4b14f1a
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diff --git a/.vscode/settings.json b/.vscode/settings.json
@@ -0,0 +1,3 @@
+{
+    "cSpell.words": ["Ecoacoustics"]
+}
diff --git a/content/resources/help-centre/converting/convert-r/index.md b/content/resources/help-centre/converting/convert-r/index.md
@@ -16,7 +16,7 @@ Throughout this guide, we will provide examples of how
 to call the various R functions, based on the example R project working
 directory shown below. Three audio files are provided to use in the examples,
 and you can download those files
-[here](https://cloudstor.aarnet.edu.au/plus/s/xlr924y4Ovu17Yr).
+[here](https://connectqutedu.sharepoint.com/sites/QUTEcoacousticsAnon/Shared%20Documents/Forms/AllItems.aspx?id=%2Fsites%2FQUTEcoacousticsAnon%2FShared%20Documents%2Fopen%2Decoacoustics%2Fconverting%2Dwith%2Dr).
 
 ``` markdown
 .

diff --git a/content/resources/help-centre/segmenting/segment-r/index.md b/content/resources/help-centre/segmenting/segment-r/index.md
@@ -17,7 +17,7 @@ The example code below will look for sound files in the `data` folder of your
 current R working directory. For these first examples, the `data` folder
 contains a single `WAVE` file (`CC1_20171010_125500.wav`), which has a duration
 of just over 1 minute. You can download the practice `WAVE` file
-[here](https://cloudstor.aarnet.edu.au/plus/s/xlr924y4Ovu17Yr). 
+[here](https://connectqutedu.sharepoint.com/sites/QUTEcoacousticsAnon/Shared%20Documents/Forms/AllItems.aspx?id=%2Fsites%2FQUTEcoacousticsAnon%2FShared%20Documents%2Fopen%2Decoacoustics%2Fconverting%2Dwith%2Dr). 
 
 As mentioned, the `split_sound_files` function can segment your `WAVE` files
 into specific durations, or into a specific number of segments. In this first

diff --git a/content/resources/known-problems b/content/resources/known-problems
diff --git a/content/resources/lessons/make-your-own-recognizer/practical.md b/content/resources/lessons/make-your-own-recognizer/practical.md
@@ -78,7 +78,7 @@ This should open up a page in your browser where you can see the materials for t
 
 ---
 
-The full Noisy Pitta file is available from https://cloudstor.aarnet.edu.au/plus/s/Fsoi5Dm0AJ1JvYU?path=%2FMake%20you%20own%20recognizer
+The full Noisy Pitta file is available from [here](https://connectqutedu.sharepoint.com/sites/QUTEcoacousticsAnon/Shared%20Documents/Forms/AllItems.aspx?ga=1&id=%2Fsites%2FQUTEcoacousticsAnon%2FShared%20Documents%2F2022%20Ecoacoustics%20Symposium%2FMake%20you%20own%20recognizer)
 
 
 

diff --git a/content/resources/lessons/shared/symposium_data.md b/content/resources/lessons/shared/symposium_data.md
@@ -2,12 +2,12 @@
 ---
 
 There is a shared dataset used for some of the practicals. 
-You can download it from here: <https://cloudstor.aarnet.edu.au/plus/s/Fsoi5Dm0AJ1JvYU>.
+You can download it from here: <https://connectqutedu.sharepoint.com/:f:/s/QUTEcoacousticsAnon/ElmRDzi08k1Kk95-pdVFAwoBIZTbqJ8BAzicZ-w401vECA?e=4NUFxg>.
 
 The total size of the shared data is ≈1.8 GB.
 
-- Go to  <https://cloudstor.aarnet.edu.au/plus/s/Fsoi5Dm0AJ1JvYU>
-- Choose the _⇩ Download_ link in the top right corner
+- Go to  <https://connectqutedu.sharepoint.com/:f:/s/QUTEcoacousticsAnon/ElmRDzi08k1Kk95-pdVFAwoBIZTbqJ8BAzicZ-w401vECA?e=4NUFxg>
+- Choose the _⇩ Download_ link in the top left corner
 - Extract the contents of the zip file to an easy to find directory
   - e.g. `C:\2022 Ecoacoustics Symposium` or `/2022 Ecoacoustics Symposium`
   - The easiest way to do this is to the set the destination to `C:\` or `/`

diff --git a/content/resources/registry/publishing/_index.md b/content/resources/registry/publishing/_index.md
@@ -177,7 +177,7 @@ For larger datasets it is not ideal to store the data in the GitHub repository.
 - [An ecoacoustics repository](../../software/repositories)
 - A bioacoustics repository
     - like [Xeno Canto](https://xeno-canto.org/)
-- Cloud storage options like DropBox, CloudStor, OneDrive, etc.
+- Cloud storage options like DropBox, OneDrive, etc.
 - Commercial services like Amazon S3, Google Cloud Storage, etc.
 
 ### How do I keep my recognizer private until I'm ready to publish?