Update links to our datasets

nipy · Feb 9, 2024 · e0f9ce2 · e0f9ce2
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diff --git a/docs/quickstart.rst b/docs/quickstart.rst
@@ -11,7 +11,7 @@ demonstrates how to use the heudiconv tool with a provided `heuristic.py` to con
 Prepare Dataset
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-Download and unzip `sub-219_dicom.zip <https://osf.io/mqgzh/>`_. 
+Download and unzip `sub-219_dicom.zip <https://datasets.datalad.org/?dir=/repronim/heudiconv-tutorial-example/>`_. 
 
 We will be working from a directory called MRIS. Under the MRIS directory is the *dicom* subdirectory: Under the subject number *219* the session *itbs* is nested.  Each dicom sequence folder is nested under the session::
 

diff --git a/docs/reproin.rst b/docs/reproin.rst
@@ -15,7 +15,7 @@ That will be a topic for another tutorial but meanwhile you can checkout `reproi
 Get Example Dataset
 -------------------
 
-This example uses a phantom dataset: `reproin_dicom.zip <https://osf.io/4jwk5/>`_ generated by the University of Arizona on their Siemens Skyra 3T with Syngo MR VE11c software on 2018_02_08.
+This example uses a phantom dataset: `reproin_dicom.zip <https://datasets.datalad.org/?dir=/repronim/heudiconv-reproin-example>`_ generated by the University of Arizona on their Siemens Skyra 3T with Syngo MR VE11c software on 2018_02_08.
 
 The ``REPROIN`` directory is a simple reproin-compliant DICOM (.dcm) dataset without sessions. 
 (Derived dwi images (ADC, FA etc.) that the scanner produced have been removed.::