Update PAM50-normalized-metrics release to r20230904

binder/postBuild

@@ -1,2 +1,2 @@
 #!/bin/bash
-git clone --depth 1 https://github.com/spinalcordtoolbox/PAM50-normalized-metrics.git content/analysis
+git clone --depth 1 https://github.com/spinalcordtoolbox/PAM50-normalized-metrics.git --branch r20230904 content/analysis

content/index.ipynb

@@ -246,7 +246,7 @@
     "## 3.2 Normalization\n",
     "\n",
     "<p style=\"text-align:justify;\">\n",
-    "The normalized morphometric measures saved as comma-separated value (CSV) files (one file per subject) are accessible in this GitHub repository: <a href=\"https://github.com/spinalcordtoolbox/PAM50-normalized-metrics/tree/r20230222\">https://github.com/spinalcordtoolbox/PAM50-normalized-metrics/tree/r20230222</a> (release: r20230223). \n",
+    "The normalized morphometric measures saved as comma-separated value (CSV) files (one file per subject) are accessible in this GitHub repository: <a href=\"https://github.com/spinalcordtoolbox/PAM50-normalized-metrics/tree/r20230904\">https://github.com/spinalcordtoolbox/PAM50-normalized-metrics/tree/r20230904</a> (release: r20230904). \n",
     "The normalization method is implemented in the Python programming language and is available through the SCT’s <i>sct_process_segmentation</i> as part of SCT v6.0 and higher.\n",
     "</p>\n",
     "\n",
@@ -680,7 +680,7 @@
     "# DATA AVAILABILITY STATEMENT\n",
     "\n",
     "<p style=\"text-align:justify;\">\n",
-    "In order to facilitate reproducibility and open science principles, all codes, processing scripts, and results are shared as open-source and freely available to the whole community. The anonymized and defaced spine-generic dataset is organized according to the BIDS standard and managed using git-annex in the following GitHub repository: <a href=\"https://github.com/spine-generic/data-multi-subject/tree/r20230223\">https://github.com/spine-generic/data-multi-subject/tree/r20230223</a> (release: r20230223). The processing used to compute morphometric measures of individual subjects in the PAM50 template space is available in this GitHub repository: <a href=\"https://github.com/sct-pipeline/dcm-metric-normalization/blob/r20230222/scripts/process_data_spine-generic.sh\">https://github.com/sct-pipeline/dcm-metric-normalization/blob/r20230222/scripts/process_data_spine-generic.sh</a> (release: r20230223). The computed morphometric measures in CSV format are available in this GitHub repository: <a href=\"https://github.com/spinalcordtoolbox/PAM50-normalized-metrics/tree/r20230222\">https://github.com/spinalcordtoolbox/PAM50-normalized-metrics/tree/r20230222</a> (release: r20230223). The normalization method is available through the sct_process_segmentation function as part of the Spinal Cord Toolbox (SCT) v6.0 and higher: <a href=\"https://github.com/spinalcordtoolbox/spinalcordtoolbox/tree/6.0\">https://github.com/spinalcordtoolbox/spinalcordtoolbox/tree/6.0</a>. The interactive figures in this article were produced using code integrated with Jupyter Lab notebook and powered by Plotly (<a href=\"https://plotly.com\">https://plotly.com</a>).\n",
+    "In order to facilitate reproducibility and open science principles, all codes, processing scripts, and results are shared as open-source and freely available to the whole community. The anonymized and defaced spine-generic dataset is organized according to the BIDS standard and managed using git-annex in the following GitHub repository: <a href=\"https://github.com/spine-generic/data-multi-subject/tree/r20230223\">https://github.com/spine-generic/data-multi-subject/tree/r20230223</a> (release: r20230223). The processing used to compute morphometric measures of individual subjects in the PAM50 template space is available in this GitHub repository: <a href=\"https://github.com/sct-pipeline/dcm-metric-normalization/blob/r20230222/scripts/process_data_spine-generic.sh\">https://github.com/sct-pipeline/dcm-metric-normalization/blob/r20230222/scripts/process_data_spine-generic.sh</a> (release: r20230223). The computed morphometric measures in CSV format are available in this GitHub repository: <a href=\"https://github.com/spinalcordtoolbox/PAM50-normalized-metrics/tree/r20230904\">https://github.com/spinalcordtoolbox/PAM50-normalized-metrics/tree/r20230904</a> (release: r20230223). The normalization method is available through the sct_process_segmentation function as part of the Spinal Cord Toolbox (SCT) v6.0 and higher: <a href=\"https://github.com/spinalcordtoolbox/spinalcordtoolbox/tree/6.0\">https://github.com/spinalcordtoolbox/spinalcordtoolbox/tree/6.0</a>. The interactive figures in this article were produced using code integrated with Jupyter Lab notebook and powered by Plotly (<a href=\"https://plotly.com\">https://plotly.com</a>).\n",
     "</p>\n"
    ]
   },