diff --git a/_config.yml b/_config.yml
index 47fdf2d..f8bb61e 100644
--- a/_config.yml
+++ b/_config.yml
@@ -6,8 +6,8 @@
 # swc: Software Carpentry
 # dc: Data Carpentry
 # lc: Library Carpentry
-# cp: Carpentries (to use for instructor traning for instance)
-carpentry: "dc"
+# cp: Carpentries (to use for instructor training for instance)
+carpentry: "incubator"
 
 # Overall title for pages.
 title: "Introduction to MRI and BIDS"
@@ -28,33 +28,27 @@ kind: "lesson"
 # Please don't change it: <USERNAME>/<PROJECT> is correct.
 repository: <USERNAME>/<PROJECT>
 
-# Email address, no mailto:
-email: "team@carpentries.org"
-
 # Sites.
 amy_site: "https://amy.software-carpentry.org/workshops"
 carpentries_github: "https://github.com/carpentries"
 carpentries_pages: "https://carpentries.github.io"
 carpentries_site: "https://carpentries.org/"
 dc_site: "http://datacarpentry.org"
-example_repo: "https://github.com/carpentries/lesson-example"
-example_site: "https://carpentries.github.io/lesson-example"
-lc_site: "https://librarycarpentry.org/"
+example_repo: "https://github.com/swcarpentry/lesson-example"
+example_site: "https://swcarpentry.github.com/lesson-example"
+lc_site: "https://librarycarpentry.github.io/"
 swc_github: "https://github.com/swcarpentry"
 swc_pages: "https://swcarpentry.github.io"
 swc_site: "https://software-carpentry.org"
-template_repo: "https://github.com/carpentries/styles"
-training_site: "https://carpentries.github.io/instructor-training"
-workshop_repo: "https://github.com/carpentries/workshop-template"
-workshop_site: "https://carpentries.github.io/workshop-template"
-cc_by_human: "https://creativecommons.org/licenses/by/4.0/"
+template_repo: "https://github.com/swcarpentry/styles"
+training_site: "https://swcarpentry.github.io/instructor-training"
+workshop_repo: "https://github.com/swcarpentry/workshop-template"
+workshop_site: "https://swcarpentry.github.io/workshop-template"
 
 # Surveys.
-pre_survey: "https://carpentries.typeform.com/to/wi32rS?slug="
-post_survey: "https://carpentries.typeform.com/to/UgVdRQ?slug="
-instructor_pre_survey: "https://www.surveymonkey.com/r/instructor_training_pre_survey?workshop_id="
-instructor_post_survey: "https://www.surveymonkey.com/r/instructor_training_post_survey?workshop_id="
-
+pre_survey: "https://www.surveymonkey.com/r/swc_pre_workshop_v1?workshop_id="
+post_survey: "https://www.surveymonkey.com/r/swc_post_workshop_v1?workshop_id="
+training_post_survey: "https://www.surveymonkey.com/r/post-instructor-training"
 
 # Start time in minutes (0 to be clock-independent, 540 to show a start at 09:00 am).
 start_time: 0
@@ -94,3 +88,6 @@ exclude:
 
 # Turn on built-in syntax highlighting.
 highlighter: rouge
+
+# Remote theme
+remote_theme: carpentries/carpentries-theme
diff --git a/code/01-neuroimaging-fundamentals/01-neuroimaging-fundamentals.ipynb b/code/01-neuroimaging-fundamentals/01-neuroimaging-fundamentals.ipynb
index 9deac5d..57776d1 100644
--- a/code/01-neuroimaging-fundamentals/01-neuroimaging-fundamentals.ipynb
+++ b/code/01-neuroimaging-fundamentals/01-neuroimaging-fundamentals.ipynb
@@ -23,9 +23,9 @@
     "\n",
     "Imagine taking a slice \n",
     "\n",
-    "<img src=\"T1w.gif\" align=\"middle\"/>  \n",
+    "<img src=\"../../fig/T1w.gif\" align=\"middle\"/>  \n",
     "\n",
-    "<img src=\"T2w.gif\" align=\"middle\"/>\n",
+    "<img src=\"../../fig/T2w.gif\" align=\"middle\"/>\n",
     "\n",
     "- 3D image of anatomy\n",
     "- a 3D **pixel** is called a **voxel**\n",
@@ -33,7 +33,7 @@
     "\n",
     "### Functional (fMRI)\n",
     "\n",
-    "<img src=\"bold.gif\" align=\"middle\"/>\n",
+    "<img src=\"../../fig/bold.gif\" align=\"middle\"/>\n",
     "\n",
     "- tracks the blood oxygen level dependant (BOLD) signal\n",
     "- 4D (x, y, z + time)\n",
@@ -42,7 +42,7 @@
     "\n",
     "### Diffusion (DWI)\n",
     "\n",
-    "<img src=\"dwi.gif\" align=\"middle\"/>\n",
+    "<img src=\"../../fig/dwi.gif\" align=\"middle\"/>\n",
     "\n",
     "- measures diffusion of water in order to model tissue microstructure\n",
     "- 4D (x, y, z + direction of diffusion)\n",
@@ -109,4 +109,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 4
-}
+}
\ No newline at end of file
diff --git a/code/02-anatomy-of-nifti/02-anatomy-of-nifti.ipynb b/code/02-anatomy-of-nifti/02-anatomy-of-nifti.ipynb
index 78798ea..131346d 100644
--- a/code/02-anatomy-of-nifti/02-anatomy-of-nifti.ipynb
+++ b/code/02-anatomy-of-nifti/02-anatomy-of-nifti.ipynb
@@ -466,7 +466,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.7.7"
   }
  },
  "nbformat": 4,
diff --git a/code/02-anatomy-of-nifti/solutions/02-anatomy-of-nifti_solutions.ipynb b/code/02-anatomy-of-nifti/solutions/02-anatomy-of-nifti_solutions.ipynb
index 406d552..d88aa3f 100644
--- a/code/02-anatomy-of-nifti/solutions/02-anatomy-of-nifti_solutions.ipynb
+++ b/code/02-anatomy-of-nifti/solutions/02-anatomy-of-nifti_solutions.ipynb
@@ -32,7 +32,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -48,11 +48,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
-    "t1_img = nib.load('someones_anatomy.nii.gz')"
+    "t1_img = nib.load(\"../../../data/someones_anatomy.nii.gz\")"
    ]
   },
   {
@@ -72,58 +72,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
+   "execution_count": 8,
+   "metadata": {
+    "tags": []
+   },
    "outputs": [
     {
-     "name": "stdout",
      "output_type": "stream",
-     "text": [
-      "<class 'nibabel.nifti1.Nifti1Header'> object, endian='<'\n",
-      "sizeof_hdr      : 348\n",
-      "data_type       : b''\n",
-      "db_name         : b''\n",
-      "extents         : 0\n",
-      "session_error   : 0\n",
-      "regular         : b''\n",
-      "dim_info        : 0\n",
-      "dim             : [ 3 57 67 56  1  1  1  1]\n",
-      "intent_p1       : 0.0\n",
-      "intent_p2       : 0.0\n",
-      "intent_p3       : 0.0\n",
-      "intent_code     : none\n",
-      "datatype        : uint8\n",
-      "bitpix          : 8\n",
-      "slice_start     : 0\n",
-      "pixdim          : [1.   2.75 2.75 2.75 1.   1.   1.   1.  ]\n",
-      "vox_offset      : 0.0\n",
-      "scl_slope       : nan\n",
-      "scl_inter       : nan\n",
-      "slice_end       : 0\n",
-      "slice_code      : unknown\n",
-      "xyzt_units      : 2\n",
-      "cal_max         : 0.0\n",
-      "cal_min         : 0.0\n",
-      "slice_duration  : 0.0\n",
-      "toffset         : 0.0\n",
-      "glmax           : 0\n",
-      "glmin           : 0\n",
-      "descrip         : b''\n",
-      "aux_file        : b''\n",
-      "qform_code      : mni\n",
-      "sform_code      : mni\n",
-      "quatern_b       : 0.0\n",
-      "quatern_c       : 0.0\n",
-      "quatern_d       : 0.0\n",
-      "qoffset_x       : -78.0\n",
-      "qoffset_y       : -91.0\n",
-      "qoffset_z       : -91.0\n",
-      "srow_x          : [  2.75   0.     0.   -78.  ]\n",
-      "srow_y          : [  0.     2.75   0.   -91.  ]\n",
-      "srow_z          : [  0.     0.     2.75 -91.  ]\n",
-      "intent_name     : b''\n",
-      "magic           : b'n+1'\n"
-     ]
+     "name": "stdout",
+     "text": "<class 'nibabel.nifti1.Nifti1Header'> object, endian='<'\nsizeof_hdr      : 348\ndata_type       : b''\ndb_name         : b''\nextents         : 0\nsession_error   : 0\nregular         : b''\ndim_info        : 0\ndim             : [ 3 57 67 56  1  1  1  1]\nintent_p1       : 0.0\nintent_p2       : 0.0\nintent_p3       : 0.0\nintent_code     : none\ndatatype        : uint8\nbitpix          : 8\nslice_start     : 0\npixdim          : [1.   2.75 2.75 2.75 1.   1.   1.   1.  ]\nvox_offset      : 0.0\nscl_slope       : nan\nscl_inter       : nan\nslice_end       : 0\nslice_code      : unknown\nxyzt_units      : 2\ncal_max         : 0.0\ncal_min         : 0.0\nslice_duration  : 0.0\ntoffset         : 0.0\nglmax           : 0\nglmin           : 0\ndescrip         : b''\naux_file        : b''\nqform_code      : mni\nsform_code      : mni\nquatern_b       : 0.0\nquatern_c       : 0.0\nquatern_d       : 0.0\nqoffset_x       : -78.0\nqoffset_y       : -91.0\nqoffset_z       : -91.0\nsrow_x          : [  2.75   0.     0.   -78.  ]\nsrow_y          : [  0.     2.75   0.   -91.  ]\nsrow_z          : [  0.     0.     2.75 -91.  ]\nintent_name     : b''\nmagic           : b'n+1'\n"
     }
    ],
    "source": [
@@ -141,60 +98,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "execute_result",
      "data": {
-      "text/plain": [
-       "['sizeof_hdr',\n",
-       " 'data_type',\n",
-       " 'db_name',\n",
-       " 'extents',\n",
-       " 'session_error',\n",
-       " 'regular',\n",
-       " 'dim_info',\n",
-       " 'dim',\n",
-       " 'intent_p1',\n",
-       " 'intent_p2',\n",
-       " 'intent_p3',\n",
-       " 'intent_code',\n",
-       " 'datatype',\n",
-       " 'bitpix',\n",
-       " 'slice_start',\n",
-       " 'pixdim',\n",
-       " 'vox_offset',\n",
-       " 'scl_slope',\n",
-       " 'scl_inter',\n",
-       " 'slice_end',\n",
-       " 'slice_code',\n",
-       " 'xyzt_units',\n",
-       " 'cal_max',\n",
-       " 'cal_min',\n",
-       " 'slice_duration',\n",
-       " 'toffset',\n",
-       " 'glmax',\n",
-       " 'glmin',\n",
-       " 'descrip',\n",
-       " 'aux_file',\n",
-       " 'qform_code',\n",
-       " 'sform_code',\n",
-       " 'quatern_b',\n",
-       " 'quatern_c',\n",
-       " 'quatern_d',\n",
-       " 'qoffset_x',\n",
-       " 'qoffset_y',\n",
-       " 'qoffset_z',\n",
-       " 'srow_x',\n",
-       " 'srow_y',\n",
-       " 'srow_z',\n",
-       " 'intent_name',\n",
-       " 'magic']"
-      ]
+      "text/plain": "['sizeof_hdr',\n 'data_type',\n 'db_name',\n 'extents',\n 'session_error',\n 'regular',\n 'dim_info',\n 'dim',\n 'intent_p1',\n 'intent_p2',\n 'intent_p3',\n 'intent_code',\n 'datatype',\n 'bitpix',\n 'slice_start',\n 'pixdim',\n 'vox_offset',\n 'scl_slope',\n 'scl_inter',\n 'slice_end',\n 'slice_code',\n 'xyzt_units',\n 'cal_max',\n 'cal_min',\n 'slice_duration',\n 'toffset',\n 'glmax',\n 'glmin',\n 'descrip',\n 'aux_file',\n 'qform_code',\n 'sform_code',\n 'quatern_b',\n 'quatern_c',\n 'quatern_d',\n 'qoffset_x',\n 'qoffset_y',\n 'qoffset_z',\n 'srow_x',\n 'srow_y',\n 'srow_z',\n 'intent_name',\n 'magic']"
      },
-     "execution_count": 4,
      "metadata": {},
-     "output_type": "execute_result"
+     "execution_count": 9
     }
    ],
    "source": [
@@ -233,18 +146,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "execute_result",
      "data": {
-      "text/plain": [
-       "array([1.  , 2.75, 2.75, 2.75, 1.  , 1.  , 1.  , 1.  ], dtype=float32)"
-      ]
+      "text/plain": "array([1.  , 2.75, 2.75, 2.75, 1.  , 1.  , 1.  , 1.  ], dtype=float32)"
      },
-     "execution_count": 5,
      "metadata": {},
-     "output_type": "execute_result"
+     "execution_count": 10
     }
    ],
    "source": [
@@ -261,102 +172,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "execute_result",
      "data": {
-      "text/plain": [
-       "array([[[ 8.79311806,  8.79311806,  8.79311806, ...,  7.73574093,\n",
-       "          7.73574093,  7.38328189],\n",
-       "        [ 8.79311806,  9.1455771 ,  8.79311806, ...,  8.08819997,\n",
-       "          8.08819997,  8.08819997],\n",
-       "        [ 9.1455771 ,  8.79311806,  8.79311806, ...,  8.44065902,\n",
-       "          8.44065902,  8.44065902],\n",
-       "        ...,\n",
-       "        [ 8.08819997,  8.44065902,  8.08819997, ...,  7.38328189,\n",
-       "          7.38328189,  7.38328189],\n",
-       "        [ 8.08819997,  8.08819997,  8.08819997, ...,  7.73574093,\n",
-       "          7.38328189,  7.38328189],\n",
-       "        [ 8.08819997,  8.08819997,  8.08819997, ...,  7.38328189,\n",
-       "          7.38328189,  7.03082284]],\n",
-       "\n",
-       "       [[ 8.79311806,  9.1455771 ,  8.79311806, ...,  7.73574093,\n",
-       "          7.38328189,  7.38328189],\n",
-       "        [ 8.79311806,  9.1455771 ,  9.1455771 , ...,  8.08819997,\n",
-       "          7.73574093,  8.08819997],\n",
-       "        [ 8.79311806,  9.49803615,  9.1455771 , ...,  8.44065902,\n",
-       "          8.44065902,  8.44065902],\n",
-       "        ...,\n",
-       "        [ 8.08819997,  8.08819997,  8.08819997, ...,  7.38328189,\n",
-       "          7.38328189,  7.03082284],\n",
-       "        [ 8.08819997,  8.08819997,  8.08819997, ...,  7.38328189,\n",
-       "          7.38328189,  7.38328189],\n",
-       "        [ 8.08819997,  8.08819997,  8.08819997, ...,  7.38328189,\n",
-       "          7.38328189,  7.73574093]],\n",
-       "\n",
-       "       [[ 9.1455771 ,  9.1455771 ,  8.79311806, ...,  7.73574093,\n",
-       "          7.38328189,  7.03082284],\n",
-       "        [ 9.1455771 ,  9.49803615,  9.1455771 , ...,  8.08819997,\n",
-       "          7.73574093,  7.38328189],\n",
-       "        [ 9.1455771 ,  9.49803615,  9.1455771 , ...,  8.08819997,\n",
-       "          8.08819997,  8.08819997],\n",
-       "        ...,\n",
-       "        [ 8.08819997,  8.44065902,  8.44065902, ...,  7.73574093,\n",
-       "          7.38328189,  7.38328189],\n",
-       "        [ 8.44065902,  8.08819997,  8.44065902, ...,  7.38328189,\n",
-       "          7.38328189,  7.38328189],\n",
-       "        [ 8.08819997,  8.08819997,  8.08819997, ...,  7.38328189,\n",
-       "          7.38328189,  7.38328189]],\n",
-       "\n",
-       "       ...,\n",
-       "\n",
-       "       [[ 9.49803615,  9.85049519,  9.85049519, ...,  7.38328189,\n",
-       "          7.38328189,  7.03082284],\n",
-       "        [ 9.85049519,  9.85049519,  9.85049519, ...,  7.38328189,\n",
-       "          7.38328189,  7.73574093],\n",
-       "        [ 9.85049519,  9.85049519, 10.20295423, ...,  8.08819997,\n",
-       "          8.08819997,  8.08819997],\n",
-       "        ...,\n",
-       "        [ 9.49803615,  9.1455771 ,  9.49803615, ...,  7.73574093,\n",
-       "          7.73574093,  7.73574093],\n",
-       "        [ 9.49803615,  9.49803615,  9.1455771 , ...,  7.73574093,\n",
-       "          8.08819997,  7.73574093],\n",
-       "        [ 9.49803615,  9.1455771 ,  8.79311806, ...,  8.08819997,\n",
-       "          7.73574093,  7.73574093]],\n",
-       "\n",
-       "       [[ 9.49803615,  9.85049519, 10.20295423, ...,  7.38328189,\n",
-       "          7.38328189,  7.03082284],\n",
-       "        [ 9.1455771 ,  9.85049519,  9.1455771 , ...,  7.73574093,\n",
-       "          7.38328189,  7.38328189],\n",
-       "        [ 9.85049519,  9.85049519,  9.49803615, ...,  8.08819997,\n",
-       "          7.73574093,  8.08819997],\n",
-       "        ...,\n",
-       "        [ 9.49803615,  8.79311806,  9.1455771 , ...,  8.08819997,\n",
-       "          7.38328189,  7.73574093],\n",
-       "        [ 9.1455771 ,  9.1455771 ,  9.1455771 , ...,  7.73574093,\n",
-       "          8.08819997,  7.73574093],\n",
-       "        [ 8.79311806,  9.1455771 ,  9.1455771 , ...,  7.73574093,\n",
-       "          7.73574093,  7.38328189]],\n",
-       "\n",
-       "       [[ 9.1455771 ,  8.79311806,  8.79311806, ...,  7.03082284,\n",
-       "          7.03082284,  6.6783638 ],\n",
-       "        [ 9.49803615,  9.85049519,  9.49803615, ...,  7.73574093,\n",
-       "          7.73574093,  7.73574093],\n",
-       "        [ 9.49803615,  9.49803615,  9.85049519, ...,  7.73574093,\n",
-       "          8.08819997,  7.73574093],\n",
-       "        ...,\n",
-       "        [ 8.79311806,  9.1455771 ,  9.1455771 , ...,  8.08819997,\n",
-       "          8.08819997,  8.08819997],\n",
-       "        [ 9.1455771 ,  9.1455771 ,  9.1455771 , ...,  8.08819997,\n",
-       "          8.08819997,  7.73574093],\n",
-       "        [ 8.79311806,  9.1455771 ,  9.1455771 , ...,  8.08819997,\n",
-       "          7.73574093,  7.73574093]]])"
-      ]
+      "text/plain": "array([[[ 8.79311806,  8.79311806,  8.79311806, ...,  7.73574093,\n          7.73574093,  7.38328189],\n        [ 8.79311806,  9.1455771 ,  8.79311806, ...,  8.08819997,\n          8.08819997,  8.08819997],\n        [ 9.1455771 ,  8.79311806,  8.79311806, ...,  8.44065902,\n          8.44065902,  8.44065902],\n        ...,\n        [ 8.08819997,  8.44065902,  8.08819997, ...,  7.38328189,\n          7.38328189,  7.38328189],\n        [ 8.08819997,  8.08819997,  8.08819997, ...,  7.73574093,\n          7.38328189,  7.38328189],\n        [ 8.08819997,  8.08819997,  8.08819997, ...,  7.38328189,\n          7.38328189,  7.03082284]],\n\n       [[ 8.79311806,  9.1455771 ,  8.79311806, ...,  7.73574093,\n          7.38328189,  7.38328189],\n        [ 8.79311806,  9.1455771 ,  9.1455771 , ...,  8.08819997,\n          7.73574093,  8.08819997],\n        [ 8.79311806,  9.49803615,  9.1455771 , ...,  8.44065902,\n          8.44065902,  8.44065902],\n        ...,\n        [ 8.08819997,  8.08819997,  8.08819997, ...,  7.38328189,\n          7.38328189,  7.03082284],\n        [ 8.08819997,  8.08819997,  8.08819997, ...,  7.38328189,\n          7.38328189,  7.38328189],\n        [ 8.08819997,  8.08819997,  8.08819997, ...,  7.38328189,\n          7.38328189,  7.73574093]],\n\n       [[ 9.1455771 ,  9.1455771 ,  8.79311806, ...,  7.73574093,\n          7.38328189,  7.03082284],\n        [ 9.1455771 ,  9.49803615,  9.1455771 , ...,  8.08819997,\n          7.73574093,  7.38328189],\n        [ 9.1455771 ,  9.49803615,  9.1455771 , ...,  8.08819997,\n          8.08819997,  8.08819997],\n        ...,\n        [ 8.08819997,  8.44065902,  8.44065902, ...,  7.73574093,\n          7.38328189,  7.38328189],\n        [ 8.44065902,  8.08819997,  8.44065902, ...,  7.38328189,\n          7.38328189,  7.38328189],\n        [ 8.08819997,  8.08819997,  8.08819997, ...,  7.38328189,\n          7.38328189,  7.38328189]],\n\n       ...,\n\n       [[ 9.49803615,  9.85049519,  9.85049519, ...,  7.38328189,\n          7.38328189,  7.03082284],\n        [ 9.85049519,  9.85049519,  9.85049519, ...,  7.38328189,\n          7.38328189,  7.73574093],\n        [ 9.85049519,  9.85049519, 10.20295423, ...,  8.08819997,\n          8.08819997,  8.08819997],\n        ...,\n        [ 9.49803615,  9.1455771 ,  9.49803615, ...,  7.73574093,\n          7.73574093,  7.73574093],\n        [ 9.49803615,  9.49803615,  9.1455771 , ...,  7.73574093,\n          8.08819997,  7.73574093],\n        [ 9.49803615,  9.1455771 ,  8.79311806, ...,  8.08819997,\n          7.73574093,  7.73574093]],\n\n       [[ 9.49803615,  9.85049519, 10.20295423, ...,  7.38328189,\n          7.38328189,  7.03082284],\n        [ 9.1455771 ,  9.85049519,  9.1455771 , ...,  7.73574093,\n          7.38328189,  7.38328189],\n        [ 9.85049519,  9.85049519,  9.49803615, ...,  8.08819997,\n          7.73574093,  8.08819997],\n        ...,\n        [ 9.49803615,  8.79311806,  9.1455771 , ...,  8.08819997,\n          7.38328189,  7.73574093],\n        [ 9.1455771 ,  9.1455771 ,  9.1455771 , ...,  7.73574093,\n          8.08819997,  7.73574093],\n        [ 8.79311806,  9.1455771 ,  9.1455771 , ...,  7.73574093,\n          7.73574093,  7.38328189]],\n\n       [[ 9.1455771 ,  8.79311806,  8.79311806, ...,  7.03082284,\n          7.03082284,  6.6783638 ],\n        [ 9.49803615,  9.85049519,  9.49803615, ...,  7.73574093,\n          7.73574093,  7.73574093],\n        [ 9.49803615,  9.49803615,  9.85049519, ...,  7.73574093,\n          8.08819997,  7.73574093],\n        ...,\n        [ 8.79311806,  9.1455771 ,  9.1455771 , ...,  8.08819997,\n          8.08819997,  8.08819997],\n        [ 9.1455771 ,  9.1455771 ,  9.1455771 , ...,  8.08819997,\n          8.08819997,  7.73574093],\n        [ 8.79311806,  9.1455771 ,  9.1455771 , ...,  8.08819997,\n          7.73574093,  7.73574093]]])"
      },
-     "execution_count": 6,
      "metadata": {},
-     "output_type": "execute_result"
+     "execution_count": 11
     }
    ],
    "source": [
@@ -373,18 +198,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "execute_result",
      "data": {
-      "text/plain": [
-       "numpy.ndarray"
-      ]
+      "text/plain": "numpy.ndarray"
      },
-     "execution_count": 7,
      "metadata": {},
-     "output_type": "execute_result"
+     "execution_count": 12
     }
    ],
    "source": [
@@ -407,18 +230,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "execute_result",
      "data": {
-      "text/plain": [
-       "3"
-      ]
+      "text/plain": "3"
      },
-     "execution_count": 8,
      "metadata": {},
-     "output_type": "execute_result"
+     "execution_count": 13
     }
    ],
    "source": [
@@ -440,18 +261,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "execute_result",
      "data": {
-      "text/plain": [
-       "(57, 67, 56)"
-      ]
+      "text/plain": "(57, 67, 56)"
      },
-     "execution_count": 9,
      "metadata": {},
-     "output_type": "execute_result"
+     "execution_count": 14
     }
    ],
    "source": [
@@ -477,18 +296,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "execute_result",
      "data": {
-      "text/plain": [
-       "dtype('float64')"
-      ]
+      "text/plain": "dtype('float64')"
      },
-     "execution_count": 10,
      "metadata": {},
-     "output_type": "execute_result"
+     "execution_count": 15
     }
    ],
    "source": [
@@ -505,16 +322,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
+   "execution_count": 16,
+   "metadata": {
+    "tags": []
+   },
    "outputs": [
     {
-     "name": "stdout",
      "output_type": "stream",
-     "text": [
-      "6.678363800048828\n",
-      "96.55541983246803\n"
-     ]
+     "name": "stdout",
+     "text": "6.678363800048828\n96.55541983246803\n"
     }
    ],
    "source": [
@@ -551,18 +367,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "execute_result",
      "data": {
-      "text/plain": [
-       "32.40787395834923"
-      ]
+      "text/plain": "32.40787395834923"
      },
-     "execution_count": 12,
      "metadata": {},
-     "output_type": "execute_result"
+     "execution_count": 17
     }
    ],
    "source": [
@@ -600,7 +414,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -623,7 +437,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -639,7 +453,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -664,20 +478,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "display_data",
      "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 3 Axes>"
-      ]
+      "text/plain": "<Figure size 432x288 with 3 Axes>",
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st2/fajQa6S9/+UtYMIPSvV5PDw8P+vHHH+MarOHrr7+OqUWKtZubG71580adTkd3d3f67rvvNJ/PtVgsNJvNwmudskHorEVSpVDEMxaLhdrtdrQT3DNMyBGWXRlEiJje93jrHJCkcCFG4Z3+dSUx7eE0Ay8ehofwQsvjKvck3o9Go6iGSdYUgQ5RPR9QaLr1AnNRZr/fV7/fD8NJZ5ugenxyxbmqtMFFBIDOJ7y5l3sPPi0qfSqz4CZpZy/P84ivIAugHkIlNKEQbsY0OtdGeefzOYQgKd6X1g+NRkM3Nze6vb0NZZRlGQpfr9fhXXyO8LjZbCJ2k5gRLEhmMplosVhUFItROiDBup2V8LaBs83UDo1GQ8PhsFL04VXNZlPdbrdC4ZAejsejCvbTed7w5LvdbjWfz8MrfCeP0x3e7vQH4drETZQASLhkZUBI5q7wosVioaenJ/3rX//SYrGIwpTCK8sy/fjjjxoOh/r2228jzHLNtFlEE8u7dIRfL25ToaVeSBgjqmw2G+X5S5uXe0FEetOs0ibwKpQfojWUwThL2qFyesJzBDCQB3QwgOUjbBo5rggER7zmc2xkYctXt9uNfSA8x3K5DGNJ85K/WA9hpNPpRAip1WqVTZkoA3SJR/jgnFPshGKfXkFeXIeQ60ChIGZBBBLbTqeTFouFVqtVxTM8lDjeT+kMHhR05hSBx18vhPichz6udzwedXd3p//85z/661//qvF4rC+//LLSQ6ARNJ1O9fe//13v3r3Tn/70p3guvI+Bs91uF13LbrcbAsMoeTki8rW6N2dZFkgTJaSeQXEJLYLXw/QGtPXQ4iiK3IA1vMYH+c89/vvCSGp+P0IDnok1r1YrLZdL9fv9CB3UF+PxWLe3t5XtZ94uPZ/PUSPM5/MwCMDIcrmsjO3wWanK0vIsHlaQD98vFXfeYnA5SC8bNT0MGlteVATmFTCLp5hDGS4AZzA9Z3iDHsjq3uAvijbGW/b7vX755Zeo3g+Hg6bTqf773/9quVzq7du3+vLLLytbCQiNx+NRRVHo22+/1ePjo77//vtgX0+nk+7v7/XhwwfNZrPwXG+bkscOh0MUe84EpArxEO9GjIc4cZkSoP7K8/w5gbtlpKEH5bhnoH1iu/P3aTJDef5755BQhlsehoBCCS1phw5kg0WDzLj2brfTp0+foulzPp8/Gw7gGV1YhFgPSakBYWQeBZzNJsHzLBjJpQkV8kcBLeFtQITmyqDaRpBoFsodb8BSXdhp08gpe2KtWxzhxR8cFgDBcW8nOrk/i9xsNrq/v9dyuYwFE/7wJA/N5ABnkJ0qceX5fG/KYhNFUAZKQDYowPv7FaIQi4Rh9GSd0hj8HsUxccgLK4DS4GG4R5pjoDjKsoxkRl3B5AeIKcsyTadTNZvN2EHkCVZ6nm36xz/+oel0Gn0Ib3AxQS4puDIvHFGIIym+PM94nZJl2WfHWjg69PW6LJFHcFOp5fJKq3K3Indh4Jo3obAk7z9cgscoU1JsQMF7QCSea7LseYaVgWNeznXtdjvd399HHYFwSKytVivWkHbt/IsXMnB4m3JiHrr9y2WZrsMNKcv+f9s1hXIIlokJX6hrl4QHzYDFeXLy+oMHxi1p1vBgwGtG7N0TmejOskzfffedbm9v9c0334Rw8O5ff/018gSGAhrkfq1WK6gcYj9CQmEgMrwARZRlWfF0chOEIV7icq3VatGWYI3NZjNCWXibJx00R73R6XQkKcjBLMsqZCBK864ZCkgLudTKHGE4SeiTGHiL9zbwmHq9rh9++CEUSwH5888/azqdVhIw/3aGGiTlFgogSS06jRpcA0VJil2vTs07qwGdnwImjzYFSfF0OsVZHrRDuUie59G7ZTvY6XSqML29Xk/X19exkNVqFb1uhOcwEIThW33JHVSxdA+90pUUZ3r87W9/i9BH/+L+/j7Qk1M2ZVlG35omFEbo+cFhOdECFMd1yrKMjTrwVev1OgzTc6lvx2ZonLqJvIM3FmgUzR+Px4q1Yz1UrHmeB3fD5xhCoMPlIz2OPgg7WINPmnhVn/I+YHdnYkFOPPdisYihByyd/jMWDNKCMvEwglV7uObZUbgP2WGwrkTvCcEsoAzfXkcIZJ1ct/DpC2IeBRihiMWgOFCJN1zodXiSI1lyPV5YF0ywIxQvmHzeilxDqEmh6Wq1qlwfZWy3W3U6nQiLNMh8u1qe5/GceAz34Tv9CzwJwTJykzK79Xo9GluM/tTr9TAqCEU3vIIFI8g8z6OdiAB9vhYBMppJKJrP53Ej+tQow0lBLy47nU7gcgTum/FrtZqurq7imCEsn/zmYY3P4LUMBRBiCcF4EQZCQmVyEQU70wA69Hniu7u78FisGzaaRhLnaZEnWPdut4uTe1jT4XBQAc71qpHtUF4hEmeJ9SkCIVSRf5ymJkR5GOCzCJ2Q5M0nFEv94fS9J1svBL3PwHND13tvA09MB9Mcejqj6nwVxkhkINRyDTp+GPElhgPDq3gGD4cSwPEsmEWg3Xa7rfP5rMFgUGn0HA4HLRYL7fd7PT4+Vh4eV/Zq3RtPhDVqAt++Szgaj8chGO6zWq3C8ghneDrPSqjwMEx+Aup6Qke5zsIi/MfHx2B88WAUTV+IkoC866Gc5hoTl3RQ8bjiEnnnlSgCc1joLCvIY7/fR0wkpJHAnUrBS9wK3bqo5t0aeb+P6YCSUs6IMMMUR2rpXAcuCwUQ951D416w16zHN+b7oZdEE99IxLWwfvcEh+y1Wk2Fn4vh7Cv5wB/4fD5Hw/14PMZNfRKQwWYGFLAiUA4oxGeVaF4RjhAYD4530NWr1+tBqbs1e3HW6/UqCdgNgCnClBpHkA6Hj8djMMnkUfofFLwkboRLfkSZAIDT6fTZCRGsrSxLFVdXVxE7sQwsB94GRbnl4EFOhmEN1BuOmFBGGquBju6N5B/vOrr38DxpUUkeIbQiYJ6T0IFBkMSLoqgc2uLxvCxL3dzcRCjznrjXCM4CpL0aFzizYYPBIPrm4dWcpeQjJtzUE19K7jnFgSWgRL7jNYfDQXd3d2ERbsHeB4BLcou9xOEQi6FqnHJx4OGVc1mW4cmcbJDnLzuWGJnhmRA+TATnLKbrenx8rMwQIyfWYI2jKH7P53OgOHJPnucqvvnmmwhTKTkGtPWqmb4CtIjHvdFopFarFZv06VHXajVdX19rsVjop59+iocmbmfZy1ESWDqfm81mUcd42OH5sGIEDzhwq0QoV1dXYVypwtwIEPTNzY1arZbevXsXSGk+n2u1Wunp6UmbzSYgvQ90c/AL9yEH1mq14PCA615kFnzQEYl37JxOJ5ekyuD3JDXeAwtLSHDuyZOzu7RDZm9eeaXO55wH8s96wwhjInyRkxBcev/UAwECeDAh1GeKyQNOnjqp6N7abrcrswGVoTeOIxqPxyFYCjqSL7EfdjLF2VgB1ANbAWazWZw5xUR3s9n8bEeTJ38/Oo9hNirzlDXmvXi1K8/BCNbI+SaOmFJUB1zmNOqyLDWdTnU8Pm+Je3p6iil14DVlgTfkkAncHYbDsR4UmuSQsiyf2648KC5dq9UqJJ9TH271JC7Cgi8MK/IBOO+aeYjCuhEICY8CCmNAaQ4ZefkkhherVMIcBAmfRIL2LiXPxfUIb2zCJ+c5v8YzsV5P6nmeh6LIV+RTUFklgcO8jsfj0CotSx4CxONT5ViChw2swWmEFG2AzmCDcW0UBb3AubfsqUYYzpy6ZTu8RqhcezQaqdPpqNPpVBS73W7Dc4nvHDZMLkr7814XcF+vIZyxBYITwgEK0DBsSUAOBS7T6XTiggwBpOjJkzUewWdBG8RZ4jCLIcm6NQNbsVhobx+w5mGlKi3vAncL9QqcRRNyvIir1WqVY5nSPOmUj9cpHg0Qtm+bc++Fq3NPZp3sqcdAyrJ87vQ5OyupknT8YniAJ0/fm0AMd4yPV11qRaZNHA9d3hvGoggDKAfQ4V8AC+gQNsPABGAcPo7v4MHzia/daXtXEtvJUDKfdd7K5Yas6fqxrvP5/NIDJ8SA3Yui0HK5jGSKRR6Pz6eQjUaj8Ao8w5EPi3L6g9CAVaM0rLDf7wcawcKdGveGENbvoZXPehIlD/G5PM81mUwqyROPQJA+LZl6oBtSrVaL00n96PHlchksgncEGaLgGEE8g/2OcZSqa5tw0Wg0wqVTZTlUdCoFC3XI6OgGJSGY1EO4T2rxCMeHBXwCg2ulobDS8C9e9kukxWXquY7/vfnmMBiFIA8/Os8NjvXjFciNSBI5gyQFBoZjkarngOMFbvkkYkKRCzbF8U4jl2UZXseDksSBrCRtWFxmnTx3ed3hrC0KI7kS3yeTSbQAEBqC5pQG1uJMrq8LJaREX1EU6vf76vV60afhGijAN8gQTdyQi9Ta3AvS4ov5VUcX9CuIyW79Hq5cSXye8ORJGI4KayZMEuIcNnrBxLVdYdJzaxdk5q807DisTwtSV4J7fOqFvHwgIWWCHXYjo5gF8KTGgrAkp5ldGW4REHBpkmeBl8KX0w48PBbJ9cN1i5eBZhCLh1SuTWLlPkDKsixDGf4M/sKrvAJnHQ5CPOSlbIBfJ0VgeP2lorTiwdQNjqnd5Z3bYUHQIukNfYDY6weP7SRfzwH01qFTwO9wVCyYjTvev065JbqObHb3Z2JtCMELNLdwIoLTLKkS/T3IwK+LVzvpCJjhfXx+s9lotVo95wwfV0FQDkfdEhx6uhum1uJW557h10chKAM+yAXnSdXRGP93kOAuT5ML7/Fn8X87zfKataefRbnuPazLc18qG/dk/4owRdvUj3TwPJJlWVSlPiyQMqiuBCcWU/rCFYJHAgW3221QywiS1qePjjKjBP1NQYdwYQqAv25kCAYWAWAwGo0q+cKtH0tOmWVJQed7UXgpj3CNzWYTaBVjhHAsvPRPFZEWZZ7QLynCLT6Nz5f4pDR5E1PJFW6V/nkSPN6J4vAMFOJJ0o1Cqp4r4jnH4zvKS73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\n"
      },
      "metadata": {
       "needs_background": "light"
-     },
-     "output_type": "display_data"
+     }
     }
    ],
    "source": [
@@ -704,21 +517,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "execute_result",
      "data": {
-      "text/plain": [
-       "array([[  2.75,   0.  ,   0.  , -78.  ],\n",
-       "       [  0.  ,   2.75,   0.  , -91.  ],\n",
-       "       [  0.  ,   0.  ,   2.75, -91.  ],\n",
-       "       [  0.  ,   0.  ,   0.  ,   1.  ]])"
-      ]
+      "text/plain": "array([[  2.75,   0.  ,   0.  , -78.  ],\n       [  0.  ,   2.75,   0.  , -91.  ],\n       [  0.  ,   0.  ,   2.75, -91.  ],\n       [  0.  ,   0.  ,   0.  ,   1.  ]])"
      },
-     "execution_count": 17,
      "metadata": {},
-     "output_type": "execute_result"
+     "execution_count": 23
     }
    ],
    "source": [
@@ -805,9 +613,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.7.7-final"
   }
  },
  "nbformat": 4,
  "nbformat_minor": 4
-}
+}
\ No newline at end of file
diff --git a/code/03-brain-imaging-data-structure/03-brain-imaging-data-structure.ipynb b/code/03-brain-imaging-data-structure/03-brain-imaging-data-structure.ipynb
index 77f7768..2ae849c 100644
--- a/code/03-brain-imaging-data-structure/03-brain-imaging-data-structure.ipynb
+++ b/code/03-brain-imaging-data-structure/03-brain-imaging-data-structure.ipynb
@@ -4,14 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Brain Imaging Data Structure (BIDS)\n",
-    "\n",
-    "---\n",
-    "\n",
-    "#### Objectives\n",
-    "1.\n",
-    "1.\n",
-    "1.\n",
+    "# Brain Imaging Data Structure (BIDS)\n",
     "\n",
     "----\n",
     "\n",
@@ -47,14 +40,14 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "<img src=\"bids_structure.jpg\" alt=\"Drawing\" align=\"middle\" width=\"600px\"/>"
+    "<img src=\"../../fig/bids_structure.jpg\" alt=\"Drawing\" align=\"middle\" width=\"600px\"/>"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Structure\n",
+    "## Structure\n",
     "\n",
     "The current spec https://bids-specification.readthedocs.io/en/stable/"
    ]
@@ -135,7 +128,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Conversion Methods\n",
+    "## Conversion Methods\n",
     "\n",
     "- [heudiconv](https://github.com/nipy/heudiconv)\n",
     "- [Dcm2Bids](https://github.com/cbedetti/Dcm2Bids)\n",
@@ -149,7 +142,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### BIDS Validator\n",
+    "## BIDS Validator\n",
     "\n",
     "Can be run [online](https://bids-standard.github.io/bids-validator)\n",
     "\n",
@@ -168,7 +161,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### BIDS Apps\n",
+    "## BIDS Apps\n",
     "\n",
     "BIDS Apps are containerized applications that run on BIDS data structures.  \n",
     "\n",
@@ -222,7 +215,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.7.7"
   },
   "mimetype": "text/x-python",
   "name": "python",
diff --git a/code/04-open-mri-datasets/04-open-mri-datasets.ipynb b/code/04-open-mri-datasets/04-open-mri-datasets.ipynb
index 6bdcb95..516bdb4 100644
--- a/code/04-open-mri-datasets/04-open-mri-datasets.ipynb
+++ b/code/04-open-mri-datasets/04-open-mri-datasets.ipynb
@@ -6,6 +6,8 @@
    "source": [
     "# Open MRI Datasets\n",
     "\n",
+    "----\n",
+    "\n",
     "For this workshop and the fMRI and dwi workshops that follow, we will be using a subset of a publicly available dataset, ds000030, from [openneuro.org](https://openneuro.org/datasets/ds000030). This dataset and all others hosted on OpenNeuro is structured according to BIDS."
    ]
   },
@@ -27,16 +29,55 @@
     "\n",
     "### Datalad\n",
     "\n",
-    "`Datalad` installs the data - which for a dataset means that we get the \"small\" data (i.e. the text files) and the download instructions for the larger files. We can now navigate the dataset like its a file system and plan our analysis."
+    "`Datalad` installs the data - which for a dataset means that we get the \"small\" data (i.e. the text files) and the download instructions for the larger files. We can now navigate the dataset like its a file system and plan our analysis.\n",
+    "\n",
+    "We'll switch to the terminal for this part.\n",
+    "\n",
+    "Navigate to the folder where you'd like to download the dataset."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Clone attempt:   0%|              | 0.00/2.00 [00:00<?, ? Candidate locations/s]\n",
+      "Enumerating: 0.00 Objects [00:00, ? Objects/s]\u001b[A\n",
+      "                                              \u001b[A\n",
+      "Counting:   0%|                              | 0.00/38.0k [00:00<?, ? Objects/s]\u001b[A\n",
+      "                                                                                \u001b[A\n",
+      "Compressing:   0%|                           | 0.00/32.1k [00:00<?, ? Objects/s]\u001b[A\n",
+      "Compressing:  78%|██████████████▊    | 25.0k/32.1k [00:00<00:00, 247k Objects/s]\u001b[A\n",
+      "                                                                                \u001b[A\n",
+      "Receiving:   0%|                             | 0.00/38.0k [00:00<?, ? Objects/s]\u001b[A\n",
+      "Receiving:  10%|██                  | 3.80k/38.0k [00:00<00:00, 37.4k Objects/s]\u001b[A\n",
+      "Receiving:  22%|████▍               | 8.37k/38.0k [00:00<00:00, 39.5k Objects/s]\u001b[A\n",
+      "Receiving:  32%|██████▍             | 12.2k/38.0k [00:00<00:00, 38.3k Objects/s]\u001b[A\n",
+      "Receiving:  42%|████████▍           | 16.0k/38.0k [00:00<00:00, 38.2k Objects/s]\u001b[A\n",
+      "Receiving:  57%|███████████▍        | 21.7k/38.0k [00:00<00:00, 42.0k Objects/s]\u001b[A\n",
+      "Receiving:  71%|██████████████▏     | 27.0k/38.0k [00:00<00:00, 41.2k Objects/s]\u001b[A\n",
+      "Receiving:  81%|████████████████▏   | 30.8k/38.0k [00:00<00:00, 27.6k Objects/s]\u001b[A\n",
+      "Receiving:  90%|██████████████████  | 34.2k/38.0k [00:01<00:00, 16.7k Objects/s]\u001b[A\n",
+      "                                                                                \u001b[A\n",
+      "Resolving:   0%|                              | 0.00/3.37k [00:00<?, ? Deltas/s]\u001b[A\n",
+      "                                                                                \u001b[A\n",
+      "Check out:   0%|                              | 0.00/9.01k [00:00<?, ? Things/s]\u001b[A\n",
+      "Check out:  71%|██████████████▉      | 6.40k/9.01k [00:00<00:00, 60.6k Things/s]\u001b[A\n",
+      "Check out:  92%|███████████████████▎ | 8.29k/9.01k [00:00<00:00, 15.5k Things/s]\u001b[A\n",
+      "[INFO   ] Scanning for unlocked files (this may take some time)                 \u001b[A\n",
+      "[INFO   ] Remote origin not usable by git-annex; setting annex-ignore \n",
+      "[INFO   ] access to 1 dataset sibling s3-PRIVATE not auto-enabled, enable with:\n",
+      "| \t\tdatalad siblings -d \"/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030\" enable -s s3-PRIVATE \n",
+      "\u001b[1;1minstall\u001b[0m(\u001b[1;32mok\u001b[0m): /Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030 (\u001b[1;35mdataset\u001b[0m)\n"
+     ]
+    }
+   ],
    "source": [
-    "import datalad.api as dl"
+    "!cd ../../data && datalad install https://github.com/OpenNeuroDatasets/ds000030.git"
    ]
   },
   {
@@ -45,7 +86,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "ds = dl.install('../../data/ds000030', source='///openfmri/ds000030')"
+    "!ls ../../data/ds000030"
    ]
   },
   {
@@ -61,16 +102,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "ds.get('../../data/ds000030/sub-10788')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ds.drop('../../data/ds000030/sub-10159')"
+    "!datalad get ../../data/ds000030/sub-10788  \n",
+    "!datalad drop ../../data/ds000030/sub-10788"
    ]
   },
   {
@@ -86,7 +119,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "ds.remove('../../data/ds000030')"
+    "!datalad remove ../../data/ds000030"
    ]
   },
   {
@@ -148,7 +181,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -157,11 +190,36 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
-    "layout = BIDSLayout('../../data/ds000030', validate=False)"
+    "layout = BIDSLayout(\"../../data/ds000030\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Indexing a database can take a really long time, especially if you have several subjects, modalities, scan types, etc. `pybids` has an option to save the indexed results to a SQLite database. This database can then be re-used the next time you want to query the same database."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "layout.save(\"../../data/ds000030/.db\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "layout = BIDSLayout(\"../../data/ds000030\", database_path = \"../../data/ds000030/.db\")"
    ]
   },
   {
@@ -174,9 +232,291 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
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+       " '70015',\n",
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+       " '70020',\n",
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+       " '70029',\n",
+       " '70033',\n",
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+       " '70036',\n",
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+       " '70069',\n",
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+       " '70080',\n",
+       " '70081',\n",
+       " '70083',\n",
+       " '70086']"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "layout.get_subjects()"
    ]
@@ -190,9 +530,1020 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<BIDSFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/CHANGES'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/dataset_description.json'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/participants.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/acds_adult.json'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/acds_adult.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/adhd.json'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/adhd.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/admin.json'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/admin.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/ant.json'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/ant.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/asrs.json'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/asrs.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/barratt.json'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/barratt.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/bart.json'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/bart.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/bipolar_ii.json'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/bipolar_ii.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/bprs.json'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/bprs.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/chaphyp.json'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/chaphyp.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/chapinf.json'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/chapinf.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/chapper.json'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/chapper.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/chapphy.json'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/chapphy.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/chapsoc.json'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/chapsoc.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/chronotype.json'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/chronotype.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/colortrails.json'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/colortrails.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/colorvision.json'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/colorvision.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/cpt.json'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/cpt.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/cvlt.json'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/cvlt.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/demographics.json'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/demographics.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/dickman.json'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/dickman.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/discounting.json'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/discounting.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/dkefs.json'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/dkefs.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/phenotype/dkefs_spanish.json'>,\n",
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+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10361/func/sub-10361_task-scap_events.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10361/func/sub-10361_task-stopsignal_bold.json'>,\n",
+       " <BIDSImageFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10361/func/sub-10361_task-stopsignal_bold.nii.gz'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10361/func/sub-10361_task-stopsignal_events.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10361/func/sub-10361_task-taskswitch_bold.json'>,\n",
+       " <BIDSImageFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10361/func/sub-10361_task-taskswitch_bold.nii.gz'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10361/func/sub-10361_task-taskswitch_events.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10365/anat/sub-10365_T1w.json'>,\n",
+       " <BIDSImageFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10365/anat/sub-10365_T1w.nii.gz'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10365/beh/sub-10365_task-stopsignaltraining_beh.json'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10365/beh/sub-10365_task-stopsignaltraining_events.tsv'>,\n",
+       " <BIDSFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10365/dwi/sub-10365_dwi.bval'>,\n",
+       " <BIDSFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10365/dwi/sub-10365_dwi.bvec'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10365/dwi/sub-10365_dwi.json'>,\n",
+       " <BIDSImageFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10365/dwi/sub-10365_dwi.nii.gz'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10365/func/sub-10365_task-bart_bold.json'>,\n",
+       " <BIDSImageFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10365/func/sub-10365_task-bart_bold.nii.gz'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10365/func/sub-10365_task-bart_events.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10365/func/sub-10365_task-bht_bold.json'>,\n",
+       " <BIDSImageFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10365/func/sub-10365_task-bht_bold.nii.gz'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10365/func/sub-10365_task-bht_events.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10365/func/sub-10365_task-bht_physio.json'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10365/func/sub-10365_task-bht_physio.tsv.gz'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10365/func/sub-10365_task-rest_bold.json'>,\n",
+       " <BIDSImageFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10365/func/sub-10365_task-rest_bold.nii.gz'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10365/func/sub-10365_task-rest_physio.json'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10365/func/sub-10365_task-rest_physio.tsv.gz'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10365/func/sub-10365_task-scap_bold.json'>,\n",
+       " <BIDSImageFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10365/func/sub-10365_task-scap_bold.nii.gz'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10365/func/sub-10365_task-scap_events.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10365/func/sub-10365_task-stopsignal_bold.json'>,\n",
+       " <BIDSImageFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10365/func/sub-10365_task-stopsignal_bold.nii.gz'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10365/func/sub-10365_task-stopsignal_events.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10365/func/sub-10365_task-taskswitch_bold.json'>,\n",
+       " <BIDSImageFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10365/func/sub-10365_task-taskswitch_bold.nii.gz'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10365/func/sub-10365_task-taskswitch_events.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10376/anat/sub-10376_T1w.json'>,\n",
+       " <BIDSImageFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10376/anat/sub-10376_T1w.nii.gz'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10376/beh/sub-10376_task-stopsignaltraining_beh.json'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10376/beh/sub-10376_task-stopsignaltraining_events.tsv'>,\n",
+       " <BIDSFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10376/dwi/sub-10376_dwi.bval'>,\n",
+       " <BIDSFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10376/dwi/sub-10376_dwi.bvec'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10376/dwi/sub-10376_dwi.json'>,\n",
+       " <BIDSImageFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10376/dwi/sub-10376_dwi.nii.gz'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10376/func/sub-10376_task-bart_bold.json'>,\n",
+       " <BIDSImageFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10376/func/sub-10376_task-bart_bold.nii.gz'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10376/func/sub-10376_task-bart_events.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10376/func/sub-10376_task-bht_bold.json'>,\n",
+       " <BIDSImageFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10376/func/sub-10376_task-bht_bold.nii.gz'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10376/func/sub-10376_task-bht_events.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10376/func/sub-10376_task-bht_physio.json'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10376/func/sub-10376_task-bht_physio.tsv.gz'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10376/func/sub-10376_task-rest_bold.json'>,\n",
+       " <BIDSImageFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10376/func/sub-10376_task-rest_bold.nii.gz'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10376/func/sub-10376_task-rest_physio.json'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10376/func/sub-10376_task-rest_physio.tsv.gz'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10376/func/sub-10376_task-scap_bold.json'>,\n",
+       " <BIDSImageFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10376/func/sub-10376_task-scap_bold.nii.gz'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10376/func/sub-10376_task-scap_events.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10376/func/sub-10376_task-stopsignal_bold.json'>,\n",
+       " <BIDSImageFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10376/func/sub-10376_task-stopsignal_bold.nii.gz'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10376/func/sub-10376_task-stopsignal_events.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10376/func/sub-10376_task-taskswitch_bold.json'>,\n",
+       " <BIDSImageFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10376/func/sub-10376_task-taskswitch_bold.nii.gz'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10376/func/sub-10376_task-taskswitch_events.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10377/anat/sub-10377_T1w.json'>,\n",
+       " <BIDSImageFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10377/anat/sub-10377_T1w.nii.gz'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10377/beh/sub-10377_task-stopsignaltraining_beh.json'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10377/beh/sub-10377_task-stopsignaltraining_events.tsv'>,\n",
+       " <BIDSFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10377/dwi/sub-10377_dwi.bval'>,\n",
+       " <BIDSFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10377/dwi/sub-10377_dwi.bvec'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10377/dwi/sub-10377_dwi.json'>,\n",
+       " <BIDSImageFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10377/dwi/sub-10377_dwi.nii.gz'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10377/func/sub-10377_task-bart_bold.json'>,\n",
+       " <BIDSImageFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10377/func/sub-10377_task-bart_bold.nii.gz'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10377/func/sub-10377_task-bart_events.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10377/func/sub-10377_task-bht_bold.json'>,\n",
+       " <BIDSImageFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10377/func/sub-10377_task-bht_bold.nii.gz'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10377/func/sub-10377_task-bht_events.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10377/func/sub-10377_task-bht_physio.json'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10377/func/sub-10377_task-bht_physio.tsv.gz'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10377/func/sub-10377_task-rest_bold.json'>,\n",
+       " <BIDSImageFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10377/func/sub-10377_task-rest_bold.nii.gz'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10377/func/sub-10377_task-rest_physio.json'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10377/func/sub-10377_task-rest_physio.tsv.gz'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10377/func/sub-10377_task-scap_bold.json'>,\n",
+       " <BIDSImageFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10377/func/sub-10377_task-scap_bold.nii.gz'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10377/func/sub-10377_task-scap_events.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10377/func/sub-10377_task-stopsignal_bold.json'>,\n",
+       " <BIDSImageFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10377/func/sub-10377_task-stopsignal_bold.nii.gz'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10377/func/sub-10377_task-stopsignal_events.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10377/func/sub-10377_task-taskswitch_bold.json'>,\n",
+       " <BIDSImageFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10377/func/sub-10377_task-taskswitch_bold.nii.gz'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10377/func/sub-10377_task-taskswitch_events.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10388/anat/sub-10388_T1w.json'>,\n",
+       " <BIDSImageFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10388/anat/sub-10388_T1w.nii.gz'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10388/beh/sub-10388_task-stopsignaltraining_beh.json'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10388/beh/sub-10388_task-stopsignaltraining_events.tsv'>,\n",
+       " <BIDSFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10388/dwi/sub-10388_dwi.bval'>,\n",
+       " <BIDSFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10388/dwi/sub-10388_dwi.bvec'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10388/dwi/sub-10388_dwi.json'>,\n",
+       " <BIDSImageFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10388/dwi/sub-10388_dwi.nii.gz'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10388/func/sub-10388_task-bart_bold.json'>,\n",
+       " <BIDSImageFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10388/func/sub-10388_task-bart_bold.nii.gz'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10388/func/sub-10388_task-bart_events.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10388/func/sub-10388_task-bht_bold.json'>,\n",
+       " <BIDSImageFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10388/func/sub-10388_task-bht_bold.nii.gz'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10388/func/sub-10388_task-bht_events.tsv'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10388/func/sub-10388_task-bht_physio.json'>,\n",
+       " <BIDSDataFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10388/func/sub-10388_task-bht_physio.tsv.gz'>,\n",
+       " <BIDSJSONFile filename='/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10388/func/sub-10388_task-rest_bold.json'>,\n",
+       " ...]"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "layout.get()"
    ]
@@ -206,9 +1557,1020 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'subject': <bids.layout.models.Entity at 0x11f2fa850>,\n",
+       " 'session': <bids.layout.models.Entity at 0x11b04c490>,\n",
+       " 'task': <bids.layout.models.Entity at 0x11f2fa990>,\n",
+       " 'acquisition': <bids.layout.models.Entity at 0x11b04c150>,\n",
+       " 'ceagent': <bids.layout.models.Entity at 0x11b04cb10>,\n",
+       " 'reconstruction': <bids.layout.models.Entity at 0x11b04cb50>,\n",
+       " 'direction': <bids.layout.models.Entity at 0x11b04ce10>,\n",
+       " 'run': <bids.layout.models.Entity at 0x11b04cbd0>,\n",
+       " 'proc': <bids.layout.models.Entity at 0x11b04c790>,\n",
+       " 'modality': <bids.layout.models.Entity at 0x11b04c910>,\n",
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+       " 'scans': <bids.layout.models.Entity at 0x11b0482d0>,\n",
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+       " 'adultadhd17': <bids.layout.models.Entity at 0x11f14ad10>,\n",
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+       " 'childadhd4': <bids.layout.models.Entity at 0x11f14af10>,\n",
+       " 'MeasurementToolMetadata': <bids.layout.models.Entity at 0x11f14af90>,\n",
+       " 'adultadhd21': <bids.layout.models.Entity at 0x11f14a050>,\n",
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+       " 'dick45': <bids.layout.models.Entity at 0x11f18cd50>,\n",
+       " 'dick6': <bids.layout.models.Entity at 0x11f18ca50>,\n",
+       " 'dick44': <bids.layout.models.Entity at 0x11f18c550>,\n",
+       " 'dick12': <bids.layout.models.Entity at 0x11f18cd90>,\n",
+       " 'dick35': <bids.layout.models.Entity at 0x11f18ce10>,\n",
+       " 'dick2': <bids.layout.models.Entity at 0x11f18ce90>,\n",
+       " 'dick24': <bids.layout.models.Entity at 0x11f18cf10>,\n",
+       " 'dysfunc_pos': <bids.layout.models.Entity at 0x11f18cf90>,\n",
+       " 'dick29': <bids.layout.models.Entity at 0x11f18c650>,\n",
+       " 'dick11': <bids.layout.models.Entity at 0x11f18c5d0>,\n",
+       " 'dick39': <bids.layout.models.Entity at 0x11f18c6d0>,\n",
+       " 'dick38': <bids.layout.models.Entity at 0x11f18c7d0>,\n",
+       " 'dysfunc_total': <bids.layout.models.Entity at 0x11f18c750>,\n",
+       " 'dick9': <bids.layout.models.Entity at 0x11f18c850>,\n",
+       " 'dick37': <bids.layout.models.Entity at 0x11f189710>,\n",
+       " 'dick13': <bids.layout.models.Entity at 0x11f189790>,\n",
+       " 'dick42': <bids.layout.models.Entity at 0x11f189810>,\n",
+       " 'dick34': <bids.layout.models.Entity at 0x11f189890>,\n",
+       " 'dick28': <bids.layout.models.Entity at 0x11f189910>,\n",
+       " 'dick33': <bids.layout.models.Entity at 0x11f189990>,\n",
+       " 'dick30': <bids.layout.models.Entity at 0x11f189a10>,\n",
+       " 'dick18': <bids.layout.models.Entity at 0x11f189a90>,\n",
+       " 'func_total': <bids.layout.models.Entity at 0x11f189b10>,\n",
+       " 'dick26': <bids.layout.models.Entity at 0x11f189b90>,\n",
+       " 'func_neg': <bids.layout.models.Entity at 0x11f189c10>,\n",
+       " 'dick22': <bids.layout.models.Entity at 0x11f189c90>,\n",
+       " 'dick25': <bids.layout.models.Entity at 0x11f189d10>,\n",
+       " 'dick7': <bids.layout.models.Entity at 0x11f189d90>,\n",
+       " 'dick27': <bids.layout.models.Entity at 0x11f189e10>,\n",
+       " 'dick36': <bids.layout.models.Entity at 0x11f189e90>,\n",
+       " 'dick4': <bids.layout.models.Entity at 0x11f1893d0>,\n",
+       " 'dick17': <bids.layout.models.Entity at 0x11f35cf10>,\n",
+       " 'dick10': <bids.layout.models.Entity at 0x11f35c0d0>,\n",
+       " 'dick43': <bids.layout.models.Entity at 0x11f35cf90>,\n",
+       " 'ddt_md_rt': <bids.layout.models.Entity at 0x11f35c110>,\n",
+       " 'ddt_medium_incon': <bids.layout.models.Entity at 0x11f35c190>,\n",
+       " 'ddt_log_large_k': <bids.layout.models.Entity at 0x11f35c210>,\n",
+       " 'ddt_large_incon': <bids.layout.models.Entity at 0x11f35c290>,\n",
+       " 'ddt_large_k': <bids.layout.models.Entity at 0x11f35c310>,\n",
+       " 'ddt_medium_k': <bids.layout.models.Entity at 0x11f35c390>,\n",
+       " 'ddt_mn_rt': <bids.layout.models.Entity at 0x11f35c410>,\n",
+       " 'ddt_sd_rt': <bids.layout.models.Entity at 0x11f35c490>,\n",
+       " 'ddt_small_k': <bids.layout.models.Entity at 0x11f35c510>,\n",
+       " 'ddt_total_k': <bids.layout.models.Entity at 0x11f35c590>,\n",
+       " 'ddt_log_small_k': <bids.layout.models.Entity at 0x11f35c610>,\n",
+       " 'ddt_items7_typo': <bids.layout.models.Entity at 0x11f35c690>,\n",
+       " 'ddt_log_total_k': <bids.layout.models.Entity at 0x11f35c710>,\n",
+       " 'ddt_small_incon': <bids.layout.models.Entity at 0x11f35c790>,\n",
+       " 'ddt_log_medium_k': <bids.layout.models.Entity at 0x11f35c810>,\n",
+       " 'etotal': <bids.layout.models.Entity at 0x11f35c890>,\n",
+       " 'srep': <bids.layout.models.Entity at 0x11f1aca90>,\n",
+       " 'a_two': <bids.layout.models.Entity at 0x11f1ac790>,\n",
+       " 'a_four': <bids.layout.models.Entity at 0x11f1ac290>,\n",
+       " 'f_three': <bids.layout.models.Entity at 0x11f1acb10>,\n",
+       " 'fsle': <bids.layout.models.Entity at 0x11f1acb90>,\n",
+       " 'frep': <bids.layout.models.Entity at 0x11f1acc10>,\n",
+       " 's_total': <bids.layout.models.Entity at 0x11f1acc90>,\n",
+       " 'asle': <bids.layout.models.Entity at 0x11f1acd10>,\n",
+       " 'e': <bids.layout.models.Entity at 0x11f1acd90>,\n",
+       " 's_two': <bids.layout.models.Entity at 0x11f1ace10>,\n",
+       " 'arep': <bids.layout.models.Entity at 0x11f1ace90>,\n",
+       " 'a_one': <bids.layout.models.Entity at 0x11f1acf10>,\n",
+       " 'c': <bids.layout.models.Entity at 0x11f1acf90>,\n",
+       " 'total_rep': <bids.layout.models.Entity at 0x11f1ac390>,\n",
+       " 'f_total': <bids.layout.models.Entity at 0x11f1ac310>,\n",
+       " 's_three': <bids.layout.models.Entity at 0x11f1ac410>,\n",
+       " 'a_three': <bids.layout.models.Entity at 0x11f1ac510>,\n",
+       " 'f_four': <bids.layout.models.Entity at 0x11f1ac490>,\n",
+       " 's_four': <bids.layout.models.Entity at 0x11f1ac590>,\n",
+       " 'ssle': <bids.layout.models.Entity at 0x11f35ee90>,\n",
+       " 'total_sle': <bids.layout.models.Entity at 0x11f35ef10>,\n",
+       " 's_one': <bids.layout.models.Entity at 0x11f35ef90>,\n",
+       " 'f_one': <bids.layout.models.Entity at 0x11f35e050>,\n",
+       " 'a_total': <bids.layout.models.Entity at 0x11f35e0d0>,\n",
+       " 'f_two': <bids.layout.models.Entity at 0x11f35e150>,\n",
+       " 'm_four': <bids.layout.models.Entity at 0x11f35e1d0>,\n",
+       " 'm_two': <bids.layout.models.Entity at 0x11f35e250>,\n",
+       " 'rsle': <bids.layout.models.Entity at 0x11f35e2d0>,\n",
+       " 'r_three': <bids.layout.models.Entity at 0x11f35e350>,\n",
+       " 'r_four': <bids.layout.models.Entity at 0x11f35e3d0>,\n",
+       " 'prep': <bids.layout.models.Entity at 0x11f35e450>,\n",
+       " 'msle': <bids.layout.models.Entity at 0x11f35e4d0>,\n",
+       " 'r_one': <bids.layout.models.Entity at 0x11f35e550>,\n",
+       " 'p_four': <bids.layout.models.Entity at 0x11f35e5d0>,\n",
+       " 'm_three': <bids.layout.models.Entity at 0x11f35e650>,\n",
+       " 'mrep': <bids.layout.models.Entity at 0x11f35e6d0>,\n",
+       " 'p_two': <bids.layout.models.Entity at 0x11f35e750>,\n",
+       " 'spantotalsle': <bids.layout.models.Entity at 0x11f35ee10>,\n",
+       " 'spantotalrep': <bids.layout.models.Entity at 0x11f35edd0>,\n",
+       " 'psle': <bids.layout.models.Entity at 0x11f3598d0>,\n",
+       " 'dkefss_e': <bids.layout.models.Entity at 0x11f3595d0>,\n",
+       " 'dkefss_c': <bids.layout.models.Entity at 0x11f359090>,\n",
+       " 'ptotalwords': <bids.layout.models.Entity at 0x11f359110>,\n",
+       " 'p_three': <bids.layout.models.Entity at 0x11f359190>,\n",
+       " 'rrep': <bids.layout.models.Entity at 0x11f359210>,\n",
+       " 'm_one': <bids.layout.models.Entity at 0x11f359950>,\n",
+       " 'r_two': <bids.layout.models.Entity at 0x11f3599d0>,\n",
+       " 'mtotalwords': <bids.layout.models.Entity at 0x11f359b50>,\n",
+       " 'dkefss_stotal': <bids.layout.models.Entity at 0x11f359ad0>,\n",
+       " 'p_one': <bids.layout.models.Entity at 0x11f359a50>,\n",
+       " 'rtotalwords': <bids.layout.models.Entity at 0x11f359bd0>,\n",
+       " 'eysenck36': <bids.layout.models.Entity at 0x11f1aaf50>,\n",
+       " 'eysenck47': <bids.layout.models.Entity at 0x11f1aa690>,\n",
+       " 'eysenck26': <bids.layout.models.Entity at 0x11f1aa710>,\n",
+       " 'eysenck43': <bids.layout.models.Entity at 0x11f1aa790>,\n",
+       " 'eysenck52': <bids.layout.models.Entity at 0x11f1aa810>,\n",
+       " 'eysenck49': <bids.layout.models.Entity at 0x11f1aa890>,\n",
+       " 'eysenck35': <bids.layout.models.Entity at 0x11f1aa910>,\n",
+       " 'eysenck40': <bids.layout.models.Entity at 0x11f1aa990>,\n",
+       " 'eysenck37': <bids.layout.models.Entity at 0x11f1aaa10>,\n",
+       " 'eysenck50': <bids.layout.models.Entity at 0x11f1aaa90>,\n",
+       " 'eysenck28': <bids.layout.models.Entity at 0x11f1aab10>,\n",
+       " 'eysenck24': <bids.layout.models.Entity at 0x11f1aab90>,\n",
+       " 'eysenck45': <bids.layout.models.Entity at 0x11f1aac10>,\n",
+       " 'eysenck17': <bids.layout.models.Entity at 0x11f1aac90>,\n",
+       " 'eysenck12': <bids.layout.models.Entity at 0x11f1aad10>,\n",
+       " 'eysenck13': <bids.layout.models.Entity at 0x11f1aad90>,\n",
+       " 'eysenck7': <bids.layout.models.Entity at 0x11f1aa610>,\n",
+       " 'eysenck42': <bids.layout.models.Entity at 0x11f358a50>,\n",
+       " 'eysenck4': <bids.layout.models.Entity at 0x11f358ad0>,\n",
+       " 'eysenck33': <bids.layout.models.Entity at 0x11f358b50>,\n",
+       " 'eysenck21': <bids.layout.models.Entity at 0x11f358bd0>,\n",
+       " 'eysenck14': <bids.layout.models.Entity at 0x11f358c50>,\n",
+       " 'eysenck34': <bids.layout.models.Entity at 0x11f358cd0>,\n",
+       " 'eysenck8': <bids.layout.models.Entity at 0x11f358d50>,\n",
+       " 'eysenck29': <bids.layout.models.Entity at 0x11f358dd0>,\n",
+       " 'scorev': <bids.layout.models.Entity at 0x11f358e50>,\n",
+       " 'eysenck54': <bids.layout.models.Entity at 0x11f358ed0>,\n",
+       " 'eysenck38': <bids.layout.models.Entity at 0x11f358f50>,\n",
+       " 'eysenck31': <bids.layout.models.Entity at 0x11f358fd0>,\n",
+       " 'eysenck19': <bids.layout.models.Entity at 0x11f358090>,\n",
+       " 'eysenck27': <bids.layout.models.Entity at 0x11f358110>,\n",
+       " 'eysenck15': <bids.layout.models.Entity at 0x11f358190>,\n",
+       " 'eysenck5': <bids.layout.models.Entity at 0x11f358210>,\n",
+       " 'eysenck25': <bids.layout.models.Entity at 0x11f358290>,\n",
+       " 'eysenck51': <bids.layout.models.Entity at 0x11f358310>,\n",
+       " 'eysenck9': <bids.layout.models.Entity at 0x11f358a10>,\n",
+       " 'eysenck6': <bids.layout.models.Entity at 0x11f3589d0>,\n",
+       " 'scoree': <bids.layout.models.Entity at 0x11f1a8450>,\n",
+       " 'eysenck10': <bids.layout.models.Entity at 0x11f1a87d0>,\n",
+       " 'eysenck32': <bids.layout.models.Entity at 0x11f1a8850>,\n",
+       " 'eysenck30': <bids.layout.models.Entity at 0x11f1a88d0>,\n",
+       " 'eysenck46': <bids.layout.models.Entity at 0x11f1a8950>,\n",
+       " 'eysenck20': <bids.layout.models.Entity at 0x11f1a89d0>,\n",
+       " 'eysenck1': <bids.layout.models.Entity at 0x11f1a8a50>,\n",
+       " 'eysenck48': <bids.layout.models.Entity at 0x11f1a8ad0>,\n",
+       " 'eysenck53': <bids.layout.models.Entity at 0x11f1a8b50>,\n",
+       " 'eysenck16': <bids.layout.models.Entity at 0x11f1a8bd0>,\n",
+       " 'eysenck23': <bids.layout.models.Entity at 0x11f1a8c50>,\n",
+       " 'eysenck3': <bids.layout.models.Entity at 0x11f1a8cd0>,\n",
+       " 'eysenck39': <bids.layout.models.Entity at 0x11f1a8d50>,\n",
+       " 'eysenck44': <bids.layout.models.Entity at 0x11f1a8dd0>,\n",
+       " 'eysenck22': <bids.layout.models.Entity at 0x11f1a8e50>,\n",
+       " 'eysenck41': <bids.layout.models.Entity at 0x11f1a8ed0>,\n",
+       " 'eysenck11': <bids.layout.models.Entity at 0x11f1a8050>,\n",
+       " 'eysenck2': <bids.layout.models.Entity at 0x11f1a8090>,\n",
+       " 'eysenck18': <bids.layout.models.Entity at 0x11f37cd90>,\n",
+       " 'scorei': <bids.layout.models.Entity at 0x11f37c610>,\n",
+       " 'golden3': <bids.layout.models.Entity at 0x11f37c2d0>,\n",
+       " 'golden_sumscore': <bids.layout.models.Entity at 0x11f37ce50>,\n",
+       " 'golden4': <bids.layout.models.Entity at 0x11f37ced0>,\n",
+       " 'golden5': <bids.layout.models.Entity at 0x11f37cf50>,\n",
+       " 'golden1': <bids.layout.models.Entity at 0x11f37cfd0>,\n",
+       " 'golden6': <bids.layout.models.Entity at 0x11f37c090>,\n",
+       " 'golden7': <bids.layout.models.Entity at 0x11f37c110>,\n",
+       " 'golden2': <bids.layout.models.Entity at 0x11f37c690>,\n",
+       " 'hamilton23': <bids.layout.models.Entity at 0x11f37c710>,\n",
+       " 'hamilton17': <bids.layout.models.Entity at 0x11f37c890>,\n",
+       " 'hamilton24': <bids.layout.models.Entity at 0x11f37c810>,\n",
+       " 'hamilton4': <bids.layout.models.Entity at 0x11f37c790>,\n",
+       " 'hamilton13': <bids.layout.models.Entity at 0x11f37c910>,\n",
+       " 'hamilton28': <bids.layout.models.Entity at 0x11f1a6590>,\n",
+       " 'hamilton27': <bids.layout.models.Entity at 0x11f1a6090>,\n",
+       " 'hamd_28': <bids.layout.models.Entity at 0x11f1a6910>,\n",
+       " 'hamilton3': <bids.layout.models.Entity at 0x11f1a6990>,\n",
+       " 'hamilton8': <bids.layout.models.Entity at 0x11f1a6a10>,\n",
+       " 'hamilton2': <bids.layout.models.Entity at 0x11f1a6a90>,\n",
+       " 'hamilton15': <bids.layout.models.Entity at 0x11f1a6b10>,\n",
+       " 'hamilton14': <bids.layout.models.Entity at 0x11f1a6b90>,\n",
+       " 'hamilton7': <bids.layout.models.Entity at 0x11f1a6c10>,\n",
+       " 'hamilton20': <bids.layout.models.Entity at 0x11f1a6c90>,\n",
+       " 'hamilton6': <bids.layout.models.Entity at 0x11f1a6d10>,\n",
+       " 'hamd_21': <bids.layout.models.Entity at 0x11f1a6d90>,\n",
+       " 'hamilton12': <bids.layout.models.Entity at 0x11f1a6e10>,\n",
+       " 'hamd_17': <bids.layout.models.Entity at 0x11f1a6e90>,\n",
+       " 'hamilton10': <bids.layout.models.Entity at 0x11f1a6f10>,\n",
+       " 'hamilton9': <bids.layout.models.Entity at 0x11f1a6f90>,\n",
+       " 'hamilton11': <bids.layout.models.Entity at 0x11f1a6190>,\n",
+       " 'hamilton21': <bids.layout.models.Entity at 0x11f1a6110>,\n",
+       " 'hamilton5': <bids.layout.models.Entity at 0x11f1a6210>,\n",
+       " 'hamilton25': <bids.layout.models.Entity at 0x11f1a6310>,\n",
+       " 'hamilton16b': <bids.layout.models.Entity at 0x11f1a6290>,\n",
+       " 'hamilton26': <bids.layout.models.Entity at 0x11f1a6390>,\n",
+       " 'hamilton1': <bids.layout.models.Entity at 0x11f1a63d0>,\n",
+       " 'hamilton19': <bids.layout.models.Entity at 0x11f377a50>,\n",
+       " 'hamilton18a': <bids.layout.models.Entity at 0x11f377ad0>,\n",
+       " 'hamilton18b': <bids.layout.models.Entity at 0x11f377b50>,\n",
+       " 'hamilton22': <bids.layout.models.Entity at 0x11f377bd0>,\n",
+       " 'hamilton16a': <bids.layout.models.Entity at 0x11f377c50>,\n",
+       " 'hand4': <bids.layout.models.Entity at 0x11f377cd0>,\n",
+       " 'hand2': <bids.layout.models.Entity at 0x11f377d50>,\n",
+       " 'hand6': <bids.layout.models.Entity at 0x11f377dd0>,\n",
+       " 'hand7': <bids.layout.models.Entity at 0x11f377e50>,\n",
+       " 'hand1': <bids.layout.models.Entity at 0x11f377ed0>,\n",
+       " 'leg': <bids.layout.models.Entity at 0x11f377f50>,\n",
+       " 'handscore': <bids.layout.models.Entity at 0x11f377fd0>,\n",
+       " 'hand10': <bids.layout.models.Entity at 0x11f377090>,\n",
+       " 'hand3': <bids.layout.models.Entity at 0x11f377110>,\n",
+       " 'hand5': <bids.layout.models.Entity at 0x11f377190>,\n",
+       " 'hand9': <bids.layout.models.Entity at 0x11f377210>,\n",
+       " 'hand8': <bids.layout.models.Entity at 0x11f377290>,\n",
+       " 'eye': <bids.layout.models.Entity at 0x11f377310>,\n",
+       " 'rightscore': <bids.layout.models.Entity at 0x11f377390>,\n",
+       " 'leftscore': <bids.layout.models.Entity at 0x11f1a3d90>,\n",
+       " 'la2khealth18': <bids.layout.models.Entity at 0x11f1a3250>,\n",
+       " 'la2khealth18_lost': <bids.layout.models.Entity at 0x11f1a32d0>,\n",
+       " 'ht_ft': <bids.layout.models.Entity at 0x11f1a3350>,\n",
+       " 'la2khealth10': <bids.layout.models.Entity at 0x11f1a33d0>,\n",
+       " 'ht_in': <bids.layout.models.Entity at 0x11f1a3450>,\n",
+       " 'la2khealth16': <bids.layout.models.Entity at 0x11f1a34d0>,\n",
+       " 'la2khealth19': <bids.layout.models.Entity at 0x11f1a3550>,\n",
+       " 'la2khealth1': <bids.layout.models.Entity at 0x11f1a35d0>,\n",
+       " 'la2khealth8': <bids.layout.models.Entity at 0x11f1a3650>,\n",
+       " 'la2khealth6': <bids.layout.models.Entity at 0x11f1a36d0>,\n",
+       " 'ht': <bids.layout.models.Entity at 0x11f1a3750>,\n",
+       " 'la2khealth14': <bids.layout.models.Entity at 0x11f1a37d0>,\n",
+       " 'la2khealth15': <bids.layout.models.Entity at 0x11f1a3850>,\n",
+       " 'la2khealth7': <bids.layout.models.Entity at 0x11f1a38d0>,\n",
+       " 'la2khealth17': <bids.layout.models.Entity at 0x11f1a3950>,\n",
+       " 'la2khealth14s': <bids.layout.models.Entity at 0x11f1a39d0>,\n",
+       " 'bmi': <bids.layout.models.Entity at 0x11f37a990>,\n",
+       " 'la2khealth21': <bids.layout.models.Entity at 0x11f37aa10>,\n",
+       " 'la2khealth9': <bids.layout.models.Entity at 0x11f37aa90>,\n",
+       " 'wt': <bids.layout.models.Entity at 0x11f37ab10>,\n",
+       " 'la2khealth4': <bids.layout.models.Entity at 0x11f37ab90>,\n",
+       " 'la2khealth11': <bids.layout.models.Entity at 0x11f37ac10>,\n",
+       " 'la2khealth_score': <bids.layout.models.Entity at 0x11f37ac90>,\n",
+       " 'la2khealth20': <bids.layout.models.Entity at 0x11f37ad10>,\n",
+       " 'la2khealth3': <bids.layout.models.Entity at 0x11f37ad90>,\n",
+       " 'la2khealth18_gain': <bids.layout.models.Entity at 0x11f37ae10>,\n",
+       " 'la2khealth5': <bids.layout.models.Entity at 0x11f37ae90>,\n",
+       " 'la2khealth12': <bids.layout.models.Entity at 0x11f37af10>,\n",
+       " 'la2khealth13': <bids.layout.models.Entity at 0x11f37af90>,\n",
+       " 'la2khealth2': <bids.layout.models.Entity at 0x11f37a050>,\n",
+       " 'hopkins2': <bids.layout.models.Entity at 0x11f37a0d0>,\n",
+       " 'hopkins12': <bids.layout.models.Entity at 0x11f37a150>,\n",
+       " ...}"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "layout.entities"
    ]
@@ -222,11 +2584,289 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
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+       " '/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-70080/func/sub-70080_task-rest_bold.nii.gz',\n",
+       " '/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-70081/func/sub-70081_task-rest_bold.nii.gz',\n",
+       " '/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-70083/func/sub-70083_task-rest_bold.nii.gz',\n",
+       " '/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-70086/func/sub-70086_task-rest_bold.nii.gz']"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "layout.get(datatype='func', suffix='bold', task='rest', extensions=['.nii.gz'], return_type='file')"
+    "layout.get(datatype=\"func\", suffix=\"bold\", task=\"rest\", extension=[\".nii.gz\"], return_type=\"file\")"
    ]
   },
   {
@@ -238,11 +2878,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10159/func/sub-10159_task-bart_bold.nii.gz',\n",
+       " '/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10159/func/sub-10159_task-rest_bold.nii.gz',\n",
+       " '/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10159/func/sub-10159_task-scap_bold.nii.gz',\n",
+       " '/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10159/func/sub-10159_task-stopsignal_bold.nii.gz',\n",
+       " '/Users/michael/projects/teaching/carpentries/SDC-BIDS-IntroMRI/data/ds000030/sub-10159/func/sub-10159_task-taskswitch_bold.nii.gz']"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "layout.get(subject='10159', RepetitionTime=2, return_type='file')"
+    "layout.get(subject=\"10159\", RepetitionTime=2, return_type=\"file\")"
    ]
   },
   {
@@ -254,11 +2909,100 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'AccelNumReferenceLines': 24,\n",
+       " 'AccelerationFactorPE': 2,\n",
+       " 'AcquisitionMatrix': '64/0/0/64',\n",
+       " 'CogAtlasID': 'trm_4d559bcd67c18',\n",
+       " 'CogPOID': '',\n",
+       " 'DeviceSerialNumber': '35343',\n",
+       " 'EPIFactor': 128,\n",
+       " 'EchoTime': 0.03,\n",
+       " 'EchoTrainLength': 1,\n",
+       " 'EffectiveEchoSpacing': 0.000395,\n",
+       " 'FlipAngle': 90,\n",
+       " 'ImageType': 'ORIGINAL/PRIMARY/M/ND/MOSAIC',\n",
+       " 'ImagingFrequency': 123249925,\n",
+       " 'InPlanePhaseEncodingDirection': 'COL',\n",
+       " 'Instructions': 'This task is the one where you score points by inflating balloons. You push the first button to inflate the balloon, and the second button to stop inflating and move on to the next one. The more you inflate the balloon the more points you’ll get, but if you inflate it too much the balloon will pop and you won’t get any points. There are two different colors of balloons, green and white. Green balloons give points, but white balloons don’t, so when you see a white balloon you can just inflate it until it goes away to move on to the next one. You only get a limited number of balloons, so try to get as many points as you can on each. Any questions?',\n",
+       " 'MRAcquisitionType': '2D',\n",
+       " 'MagneticFieldStrength': 3,\n",
+       " 'ManufacturerModelName': 'TrioTim',\n",
+       " 'NumberOfAverages': 1,\n",
+       " 'NumberOfPhaseEncodingSteps': 63,\n",
+       " 'PatientPosition': 'HFS',\n",
+       " 'PercentPhaseFieldOfView': 100,\n",
+       " 'PercentSampling': 100,\n",
+       " 'PhaseEncodingDirection': 'j-',\n",
+       " 'PixelBandwidth': 1420,\n",
+       " 'ProtocolName': 'BOLD - BART',\n",
+       " 'ReceiveCoilName': 'HeadMatrix',\n",
+       " 'RepetitionTime': 2,\n",
+       " 'ScanOptions': 'FS',\n",
+       " 'ScanningSequence': 'EP',\n",
+       " 'SequenceName': '*epfid2d1_64',\n",
+       " 'SequenceVariant': 'SK',\n",
+       " 'SliceTiming': [1.0025,\n",
+       "  0,\n",
+       "  1.0625,\n",
+       "  0.06,\n",
+       "  1.1225,\n",
+       "  0.1175,\n",
+       "  1.18,\n",
+       "  0.1775,\n",
+       "  1.24,\n",
+       "  0.235,\n",
+       "  1.3,\n",
+       "  0.295,\n",
+       "  1.3575,\n",
+       "  0.355,\n",
+       "  1.4175,\n",
+       "  0.4125,\n",
+       "  1.475,\n",
+       "  0.4725,\n",
+       "  1.535,\n",
+       "  0.53,\n",
+       "  1.595,\n",
+       "  0.59,\n",
+       "  1.6525,\n",
+       "  0.65,\n",
+       "  1.7125,\n",
+       "  0.7075,\n",
+       "  1.77,\n",
+       "  0.7675,\n",
+       "  1.83,\n",
+       "  0.8275,\n",
+       "  1.89,\n",
+       "  0.885,\n",
+       "  1.9475,\n",
+       "  0.945],\n",
+       " 'SoftwareVersions': 'syngo MR B15',\n",
+       " 'TaskDescription': 'In the BART (Lejuez et al., 2002), participants were allowed to pump a series of green (experimental) and white (control) balloons (Figure 1B). On each trial, participants chose to pump the balloon or cash out and collect their accumulated earnings for that round. For experimental balloons, after a trial in which the participant successfully pumped the balloon (meaning it did not result in an explosion), an image of a larger balloon was presented, the participant earned 5 points, and was able to pump again or cash-out. After a trial in which the participant chose to cash out, the participant’s accumulated earnings for that round were displayed and the task moved onto the next round. On an explosion trial (necessarily following a Risky choice trial), an exploded balloon was presented, the participant received no points for that round, and the task moved onto the next round. In this version of the BART, balloons exploded randomly on a number drawn from a uniform distribution over numbers of pumps, with 12 maximum pumps possible before an explosion or end of a round. Thus, participants experienced the probability as non-stationary, as the likelihood of a loss event increased with each trial in a round and as no information was provided to subjects about the probability of explosion. Participants also responded to control balloons, which increased in size on successive trials, but which neither resulted in points nor exploded. For both balloons (green and white), the balloon would disappear from the screen once the participant responded, and each balloon trial was separated by a jittered delay. An outcome trial (following a Cash-out choice or a Loss event) was displayed for a fixed duration of 2 s. Each trial was separated by a blank screen that was presented for a variable duration (1-2 s, average 1.5 s); each round was separated by a blank screen that was presented for variable duration (1-12 s, average 4 s). The task performed in the scanner was self-paced, but the task was programmed such that participants saw approximately 30 virtual balloons, with an approximate run time of 9 minutes. Each successful pump was worth 5 points, but participants did not collect their earnings at the end of the scan. For the practice run, participants had one minute to complete 5 balloon rounds.',\n",
+       " 'TaskFullName': 'Balloon Analog Risk Task (BART)',\n",
+       " 'TaskName': 'bart',\n",
+       " 'TaskParameters': {'ISI': 3,\n",
+       "  'ITI': 2,\n",
+       "  'mean_iti': 4,\n",
+       "  'min_iti': 1,\n",
+       "  'max_iti': 12,\n",
+       "  'trigger_time': 10.309},\n",
+       " 'TotalScanTimeSec': 542,\n",
+       " 'TransmitCoilName': 'Body',\n",
+       " 'VariableFlipAngleFlag': 'N'}"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "fmri_file = layout.get(subject='10159', RepetitionTime=2, return_type='file')[0]\n",
+    "fmri_file = layout.get(subject=\"10159\", RepetitionTime=2, return_type=\"file\")[0]\n",
     "layout.get_metadata(fmri_file)"
    ]
   },
@@ -271,14 +3015,441 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 12,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>AccelNumReferenceLines</th>\n",
+       "      <th>AccelerationFactorPE</th>\n",
+       "      <th>AcquisitionMatrix</th>\n",
+       "      <th>CogAtlasID</th>\n",
+       "      <th>CogPOID</th>\n",
+       "      <th>DeviceSerialNumber</th>\n",
+       "      <th>EPIFactor</th>\n",
+       "      <th>EchoTime</th>\n",
+       "      <th>EchoTrainLength</th>\n",
+       "      <th>EffectiveEchoSpacing</th>\n",
+       "      <th>...</th>\n",
+       "      <th>SequenceVariant</th>\n",
+       "      <th>SliceTiming</th>\n",
+       "      <th>SoftwareVersions</th>\n",
+       "      <th>TaskDescription</th>\n",
+       "      <th>TaskFullName</th>\n",
+       "      <th>TaskName</th>\n",
+       "      <th>TaskParameters</th>\n",
+       "      <th>TotalScanTimeSec</th>\n",
+       "      <th>TransmitCoilName</th>\n",
+       "      <th>VariableFlipAngleFlag</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>24.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>64/0/0/64</td>\n",
+       "      <td>trm_4d559bcd67c18</td>\n",
+       "      <td></td>\n",
+       "      <td>35343</td>\n",
+       "      <td>128.0</td>\n",
+       "      <td>0.03</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.000395</td>\n",
+       "      <td>...</td>\n",
+       "      <td>SK</td>\n",
+       "      <td>[1.0025, 0, 1.0625, 0.06, 1.1225, 0.1175, 1.18...</td>\n",
+       "      <td>syngo MR B15</td>\n",
+       "      <td>In the BART (Lejuez et al., 2002), participant...</td>\n",
+       "      <td>Balloon Analog Risk Task (BART)</td>\n",
+       "      <td>bart</td>\n",
+       "      <td>{'ISI': 3, 'ITI': 2, 'mean_iti': 4, 'min_iti':...</td>\n",
+       "      <td>542.0</td>\n",
+       "      <td>Body</td>\n",
+       "      <td>N</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>24.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>64/0/0/64</td>\n",
+       "      <td>trm_4c8a834779883</td>\n",
+       "      <td>COGPO_00086</td>\n",
+       "      <td>35343</td>\n",
+       "      <td>128.0</td>\n",
+       "      <td>0.03</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.000395</td>\n",
+       "      <td>...</td>\n",
+       "      <td>SK</td>\n",
+       "      <td>[1.005, 0, 1.0625, 0.06, 1.1225, 0.12, 1.1825,...</td>\n",
+       "      <td>syngo MR B15</td>\n",
+       "      <td>In the Resting scan, participants were asked t...</td>\n",
+       "      <td>Resting State</td>\n",
+       "      <td>rest</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>312.0</td>\n",
+       "      <td>Body</td>\n",
+       "      <td>N</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>24.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>64/0/0/64</td>\n",
+       "      <td>trm_4f2453b806fe1</td>\n",
+       "      <td></td>\n",
+       "      <td>35343</td>\n",
+       "      <td>128.0</td>\n",
+       "      <td>0.03</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.000395</td>\n",
+       "      <td>...</td>\n",
+       "      <td>SK</td>\n",
+       "      <td>[1.005, 0, 1.0625, 0.06, 1.1225, 0.1175, 1.18,...</td>\n",
+       "      <td>syngo MR B15</td>\n",
+       "      <td>SCAP is a working memory task that tests the m...</td>\n",
+       "      <td>Spatial Working Memory Capacity Tasks (SCAP)</td>\n",
+       "      <td>scap</td>\n",
+       "      <td>{'trigger_time': None}</td>\n",
+       "      <td>590.0</td>\n",
+       "      <td>Body</td>\n",
+       "      <td>N</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>24.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>64/0/0/64</td>\n",
+       "      <td>tsk_4a57abb949e1a</td>\n",
+       "      <td></td>\n",
+       "      <td>35343</td>\n",
+       "      <td>128.0</td>\n",
+       "      <td>0.03</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.000395</td>\n",
+       "      <td>...</td>\n",
+       "      <td>SK</td>\n",
+       "      <td>[1.0025, 0, 1.0625, 0.0575, 1.12, 0.1175, 1.18...</td>\n",
+       "      <td>syngo MR B15</td>\n",
+       "      <td>The Stop-Signal Task measures response inhibit...</td>\n",
+       "      <td>Stop-Signal Task</td>\n",
+       "      <td>stopsignal</td>\n",
+       "      <td>{'Settings': {'BSI': 1, 'ISI': 1.5, 'Ladder1 s...</td>\n",
+       "      <td>376.0</td>\n",
+       "      <td>Body</td>\n",
+       "      <td>N</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>24.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>64/0/0/64</td>\n",
+       "      <td>tsk_4a57abb949e8a</td>\n",
+       "      <td>COGPO_00107</td>\n",
+       "      <td>35343</td>\n",
+       "      <td>128.0</td>\n",
+       "      <td>0.03</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.000395</td>\n",
+       "      <td>...</td>\n",
+       "      <td>SK</td>\n",
+       "      <td>[1.0025, 0, 1.0625, 0.0575, 1.12, 0.1175, 1.18...</td>\n",
+       "      <td>syngo MR B15</td>\n",
+       "      <td>In the Task-Switching (TS) task, participants ...</td>\n",
+       "      <td>Task Switching</td>\n",
+       "      <td>taskswitch</td>\n",
+       "      <td>{'button_set': 2, 'left_color': 'red', 'right_...</td>\n",
+       "      <td>424.0</td>\n",
+       "      <td>Body</td>\n",
+       "      <td>N</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1999</th>\n",
+       "      <td>24.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>64/0/0/64</td>\n",
+       "      <td>trm_4c8991e6e8597</td>\n",
+       "      <td>COGPO_00078</td>\n",
+       "      <td>35426</td>\n",
+       "      <td>128.0</td>\n",
+       "      <td>0.03</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.000395</td>\n",
+       "      <td>...</td>\n",
+       "      <td>SK</td>\n",
+       "      <td>[1.0025, 0, 1.0625, 0.0575, 1.1225, 0.1175, 1....</td>\n",
+       "      <td>syngo MR B17</td>\n",
+       "      <td>This task was run as a part of the Consortium ...</td>\n",
+       "      <td>Paired Associates Memory Task - Retrieval</td>\n",
+       "      <td>pamret</td>\n",
+       "      <td>{'trigger_time': 8.2909}</td>\n",
+       "      <td>544.0</td>\n",
+       "      <td>Body</td>\n",
+       "      <td>N</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2000</th>\n",
+       "      <td>24.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>64/0/0/64</td>\n",
+       "      <td>trm_4c8a834779883</td>\n",
+       "      <td>COGPO_00086</td>\n",
+       "      <td>35426</td>\n",
+       "      <td>128.0</td>\n",
+       "      <td>0.03</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.000395</td>\n",
+       "      <td>...</td>\n",
+       "      <td>SK</td>\n",
+       "      <td>[1.005, 0, 1.0625, 0.06, 1.1225, 0.12, 1.1825,...</td>\n",
+       "      <td>syngo MR B17</td>\n",
+       "      <td>In the Resting scan, participants were asked t...</td>\n",
+       "      <td>Resting State</td>\n",
+       "      <td>rest</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>312.0</td>\n",
+       "      <td>Body</td>\n",
+       "      <td>N</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2001</th>\n",
+       "      <td>24.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>64/0/0/64</td>\n",
+       "      <td>trm_4f2453b806fe1</td>\n",
+       "      <td></td>\n",
+       "      <td>35426</td>\n",
+       "      <td>128.0</td>\n",
+       "      <td>0.03</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.000395</td>\n",
+       "      <td>...</td>\n",
+       "      <td>SK</td>\n",
+       "      <td>[1.0025, 0, 1.0625, 0.06, 1.1225, 0.1175, 1.18...</td>\n",
+       "      <td>syngo MR B17</td>\n",
+       "      <td>SCAP is a working memory task that tests the m...</td>\n",
+       "      <td>Spatial Working Memory Capacity Tasks (SCAP)</td>\n",
+       "      <td>scap</td>\n",
+       "      <td>{'trigger_time': 8.2668}</td>\n",
+       "      <td>590.0</td>\n",
+       "      <td>Body</td>\n",
+       "      <td>N</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2002</th>\n",
+       "      <td>24.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>64/0/0/64</td>\n",
+       "      <td>tsk_4a57abb949e1a</td>\n",
+       "      <td></td>\n",
+       "      <td>35426</td>\n",
+       "      <td>128.0</td>\n",
+       "      <td>0.03</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.000395</td>\n",
+       "      <td>...</td>\n",
+       "      <td>SK</td>\n",
+       "      <td>[1.005, 0, 1.0625, 0.06, 1.1225, 0.1175, 1.182...</td>\n",
+       "      <td>syngo MR B17</td>\n",
+       "      <td>The Stop-Signal Task measures response inhibit...</td>\n",
+       "      <td>Stop-Signal Task</td>\n",
+       "      <td>stopsignal</td>\n",
+       "      <td>{'Settings': {'BSI': 1, 'ISI': 1.5, 'Ladder1 s...</td>\n",
+       "      <td>376.0</td>\n",
+       "      <td>Body</td>\n",
+       "      <td>N</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2003</th>\n",
+       "      <td>24.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>64/0/0/64</td>\n",
+       "      <td>tsk_4a57abb949e8a</td>\n",
+       "      <td>COGPO_00107</td>\n",
+       "      <td>35426</td>\n",
+       "      <td>128.0</td>\n",
+       "      <td>0.03</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.000395</td>\n",
+       "      <td>...</td>\n",
+       "      <td>SK</td>\n",
+       "      <td>[1.005, 0, 1.0625, 0.06, 1.1225, 0.1175, 1.18,...</td>\n",
+       "      <td>syngo MR B17</td>\n",
+       "      <td>In the Task-Switching (TS) task, participants ...</td>\n",
+       "      <td>Task Switching</td>\n",
+       "      <td>taskswitch</td>\n",
+       "      <td>{'button_set': 4, 'left_color': 'green', 'righ...</td>\n",
+       "      <td>424.0</td>\n",
+       "      <td>Body</td>\n",
+       "      <td>N</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>2004 rows × 41 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      AccelNumReferenceLines  AccelerationFactorPE AcquisitionMatrix  \\\n",
+       "0                       24.0                   2.0         64/0/0/64   \n",
+       "1                       24.0                   2.0         64/0/0/64   \n",
+       "2                       24.0                   2.0         64/0/0/64   \n",
+       "3                       24.0                   2.0         64/0/0/64   \n",
+       "4                       24.0                   2.0         64/0/0/64   \n",
+       "...                      ...                   ...               ...   \n",
+       "1999                    24.0                   2.0         64/0/0/64   \n",
+       "2000                    24.0                   2.0         64/0/0/64   \n",
+       "2001                    24.0                   2.0         64/0/0/64   \n",
+       "2002                    24.0                   2.0         64/0/0/64   \n",
+       "2003                    24.0                   2.0         64/0/0/64   \n",
+       "\n",
+       "             CogAtlasID      CogPOID DeviceSerialNumber  EPIFactor  EchoTime  \\\n",
+       "0     trm_4d559bcd67c18                           35343      128.0      0.03   \n",
+       "1     trm_4c8a834779883  COGPO_00086              35343      128.0      0.03   \n",
+       "2     trm_4f2453b806fe1                           35343      128.0      0.03   \n",
+       "3     tsk_4a57abb949e1a                           35343      128.0      0.03   \n",
+       "4     tsk_4a57abb949e8a  COGPO_00107              35343      128.0      0.03   \n",
+       "...                 ...          ...                ...        ...       ...   \n",
+       "1999  trm_4c8991e6e8597  COGPO_00078              35426      128.0      0.03   \n",
+       "2000  trm_4c8a834779883  COGPO_00086              35426      128.0      0.03   \n",
+       "2001  trm_4f2453b806fe1                           35426      128.0      0.03   \n",
+       "2002  tsk_4a57abb949e1a                           35426      128.0      0.03   \n",
+       "2003  tsk_4a57abb949e8a  COGPO_00107              35426      128.0      0.03   \n",
+       "\n",
+       "      EchoTrainLength  EffectiveEchoSpacing  ...  SequenceVariant  \\\n",
+       "0                   1              0.000395  ...               SK   \n",
+       "1                   1              0.000395  ...               SK   \n",
+       "2                   1              0.000395  ...               SK   \n",
+       "3                   1              0.000395  ...               SK   \n",
+       "4                   1              0.000395  ...               SK   \n",
+       "...               ...                   ...  ...              ...   \n",
+       "1999                1              0.000395  ...               SK   \n",
+       "2000                1              0.000395  ...               SK   \n",
+       "2001                1              0.000395  ...               SK   \n",
+       "2002                1              0.000395  ...               SK   \n",
+       "2003                1              0.000395  ...               SK   \n",
+       "\n",
+       "                                            SliceTiming  SoftwareVersions  \\\n",
+       "0     [1.0025, 0, 1.0625, 0.06, 1.1225, 0.1175, 1.18...      syngo MR B15   \n",
+       "1     [1.005, 0, 1.0625, 0.06, 1.1225, 0.12, 1.1825,...      syngo MR B15   \n",
+       "2     [1.005, 0, 1.0625, 0.06, 1.1225, 0.1175, 1.18,...      syngo MR B15   \n",
+       "3     [1.0025, 0, 1.0625, 0.0575, 1.12, 0.1175, 1.18...      syngo MR B15   \n",
+       "4     [1.0025, 0, 1.0625, 0.0575, 1.12, 0.1175, 1.18...      syngo MR B15   \n",
+       "...                                                 ...               ...   \n",
+       "1999  [1.0025, 0, 1.0625, 0.0575, 1.1225, 0.1175, 1....      syngo MR B17   \n",
+       "2000  [1.005, 0, 1.0625, 0.06, 1.1225, 0.12, 1.1825,...      syngo MR B17   \n",
+       "2001  [1.0025, 0, 1.0625, 0.06, 1.1225, 0.1175, 1.18...      syngo MR B17   \n",
+       "2002  [1.005, 0, 1.0625, 0.06, 1.1225, 0.1175, 1.182...      syngo MR B17   \n",
+       "2003  [1.005, 0, 1.0625, 0.06, 1.1225, 0.1175, 1.18,...      syngo MR B17   \n",
+       "\n",
+       "                                        TaskDescription  \\\n",
+       "0     In the BART (Lejuez et al., 2002), participant...   \n",
+       "1     In the Resting scan, participants were asked t...   \n",
+       "2     SCAP is a working memory task that tests the m...   \n",
+       "3     The Stop-Signal Task measures response inhibit...   \n",
+       "4     In the Task-Switching (TS) task, participants ...   \n",
+       "...                                                 ...   \n",
+       "1999  This task was run as a part of the Consortium ...   \n",
+       "2000  In the Resting scan, participants were asked t...   \n",
+       "2001  SCAP is a working memory task that tests the m...   \n",
+       "2002  The Stop-Signal Task measures response inhibit...   \n",
+       "2003  In the Task-Switching (TS) task, participants ...   \n",
+       "\n",
+       "                                      TaskFullName    TaskName  \\\n",
+       "0                  Balloon Analog Risk Task (BART)        bart   \n",
+       "1                                    Resting State        rest   \n",
+       "2     Spatial Working Memory Capacity Tasks (SCAP)        scap   \n",
+       "3                                 Stop-Signal Task  stopsignal   \n",
+       "4                                   Task Switching  taskswitch   \n",
+       "...                                            ...         ...   \n",
+       "1999     Paired Associates Memory Task - Retrieval      pamret   \n",
+       "2000                                 Resting State        rest   \n",
+       "2001  Spatial Working Memory Capacity Tasks (SCAP)        scap   \n",
+       "2002                              Stop-Signal Task  stopsignal   \n",
+       "2003                                Task Switching  taskswitch   \n",
+       "\n",
+       "                                         TaskParameters TotalScanTimeSec  \\\n",
+       "0     {'ISI': 3, 'ITI': 2, 'mean_iti': 4, 'min_iti':...            542.0   \n",
+       "1                                                   NaN            312.0   \n",
+       "2                                {'trigger_time': None}            590.0   \n",
+       "3     {'Settings': {'BSI': 1, 'ISI': 1.5, 'Ladder1 s...            376.0   \n",
+       "4     {'button_set': 2, 'left_color': 'red', 'right_...            424.0   \n",
+       "...                                                 ...              ...   \n",
+       "1999                           {'trigger_time': 8.2909}            544.0   \n",
+       "2000                                                NaN            312.0   \n",
+       "2001                           {'trigger_time': 8.2668}            590.0   \n",
+       "2002  {'Settings': {'BSI': 1, 'ISI': 1.5, 'Ladder1 s...            376.0   \n",
+       "2003  {'button_set': 4, 'left_color': 'green', 'righ...            424.0   \n",
+       "\n",
+       "      TransmitCoilName  VariableFlipAngleFlag  \n",
+       "0                 Body                      N  \n",
+       "1                 Body                      N  \n",
+       "2                 Body                      N  \n",
+       "3                 Body                      N  \n",
+       "4                 Body                      N  \n",
+       "...                ...                    ...  \n",
+       "1999              Body                      N  \n",
+       "2000              Body                      N  \n",
+       "2001              Body                      N  \n",
+       "2002              Body                      N  \n",
+       "2003              Body                      N  \n",
+       "\n",
+       "[2004 rows x 41 columns]"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "import pandas as pd\n",
     "\n",
     "metadata_list = []\n",
-    "all_fmri_files = layout.get(datatype='func', suffix='bold', return_type='file', extensions='.nii.gz')\n",
+    "all_fmri_files = layout.get(datatype=\"func\", suffix=\"bold\", return_type=\"file\", extension=[\".nii.gz\"])\n",
     "for fmri_file in all_fmri_files:\n",
     "    fmri_metadata = layout.get_metadata(fmri_file)\n",
     "    metadata_list.append(fmri_metadata)\n",
@@ -325,7 +3496,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -341,7 +3512,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -357,9 +3528,169 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 15,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>participant_id</th>\n",
+       "      <th>diagnosis</th>\n",
+       "      <th>age</th>\n",
+       "      <th>gender</th>\n",
+       "      <th>bart</th>\n",
+       "      <th>bht</th>\n",
+       "      <th>dwi</th>\n",
+       "      <th>pamenc</th>\n",
+       "      <th>pamret</th>\n",
+       "      <th>rest</th>\n",
+       "      <th>scap</th>\n",
+       "      <th>stopsignal</th>\n",
+       "      <th>T1w</th>\n",
+       "      <th>taskswitch</th>\n",
+       "      <th>ScannerSerialNumber</th>\n",
+       "      <th>ghost_NoGhost</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>sub-10159</td>\n",
+       "      <td>CONTROL</td>\n",
+       "      <td>30</td>\n",
+       "      <td>F</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>35343.0</td>\n",
+       "      <td>No_ghost</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>sub-10171</td>\n",
+       "      <td>CONTROL</td>\n",
+       "      <td>24</td>\n",
+       "      <td>M</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>35343.0</td>\n",
+       "      <td>No_ghost</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>sub-10189</td>\n",
+       "      <td>CONTROL</td>\n",
+       "      <td>49</td>\n",
+       "      <td>M</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>35343.0</td>\n",
+       "      <td>No_ghost</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>sub-10193</td>\n",
+       "      <td>CONTROL</td>\n",
+       "      <td>40</td>\n",
+       "      <td>M</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>35343.0</td>\n",
+       "      <td>No_ghost</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>sub-10206</td>\n",
+       "      <td>CONTROL</td>\n",
+       "      <td>21</td>\n",
+       "      <td>M</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>35343.0</td>\n",
+       "      <td>No_ghost</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  participant_id diagnosis  age gender  bart  bht  dwi  pamenc  pamret  rest  \\\n",
+       "0      sub-10159   CONTROL   30      F   1.0  NaN  1.0     NaN     NaN   1.0   \n",
+       "1      sub-10171   CONTROL   24      M   1.0  1.0  1.0     NaN     NaN   1.0   \n",
+       "2      sub-10189   CONTROL   49      M   1.0  NaN  1.0     NaN     NaN   1.0   \n",
+       "3      sub-10193   CONTROL   40      M   1.0  NaN  1.0     NaN     NaN   NaN   \n",
+       "4      sub-10206   CONTROL   21      M   1.0  NaN  1.0     NaN     NaN   1.0   \n",
+       "\n",
+       "   scap  stopsignal  T1w  taskswitch  ScannerSerialNumber ghost_NoGhost  \n",
+       "0   1.0         1.0  1.0         1.0              35343.0      No_ghost  \n",
+       "1   1.0         1.0  1.0         1.0              35343.0      No_ghost  \n",
+       "2   1.0         1.0  1.0         1.0              35343.0      No_ghost  \n",
+       "3   NaN         NaN  1.0         NaN              35343.0      No_ghost  \n",
+       "4   1.0         1.0  1.0         1.0              35343.0      No_ghost  "
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "participant_metadata.head()"
    ]
@@ -374,9 +3705,127 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 16,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>participant_id</th>\n",
+       "      <th>diagnosis</th>\n",
+       "      <th>age</th>\n",
+       "      <th>gender</th>\n",
+       "      <th>bart</th>\n",
+       "      <th>bht</th>\n",
+       "      <th>dwi</th>\n",
+       "      <th>pamenc</th>\n",
+       "      <th>pamret</th>\n",
+       "      <th>rest</th>\n",
+       "      <th>scap</th>\n",
+       "      <th>stopsignal</th>\n",
+       "      <th>T1w</th>\n",
+       "      <th>taskswitch</th>\n",
+       "      <th>ScannerSerialNumber</th>\n",
+       "      <th>ghost_NoGhost</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>sub-10225</td>\n",
+       "      <td>CONTROL</td>\n",
+       "      <td>35</td>\n",
+       "      <td>M</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>35343.0</td>\n",
+       "      <td>No_ghost</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>sub-10249</td>\n",
+       "      <td>CONTROL</td>\n",
+       "      <td>28</td>\n",
+       "      <td>M</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>35343.0</td>\n",
+       "      <td>No_ghost</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>sub-10271</td>\n",
+       "      <td>CONTROL</td>\n",
+       "      <td>41</td>\n",
+       "      <td>F</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>35343.0</td>\n",
+       "      <td>No_ghost</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   participant_id diagnosis  age gender  bart  bht  dwi  pamenc  pamret  rest  \\\n",
+       "6       sub-10225   CONTROL   35      M   1.0  1.0  1.0     NaN     NaN   1.0   \n",
+       "10      sub-10249   CONTROL   28      M   1.0  1.0  1.0     NaN     NaN   1.0   \n",
+       "12      sub-10271   CONTROL   41      F   1.0  1.0  1.0     NaN     NaN   1.0   \n",
+       "\n",
+       "    scap  stopsignal  T1w  taskswitch  ScannerSerialNumber ghost_NoGhost  \n",
+       "6    1.0         1.0  1.0         1.0              35343.0      No_ghost  \n",
+       "10   1.0         1.0  1.0         1.0              35343.0      No_ghost  \n",
+       "12   1.0         1.0  1.0         1.0              35343.0      No_ghost  "
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "participant_metadata.loc[[6, 10, 12]]"
    ]
@@ -390,9 +3839,169 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 17,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>participant_id</th>\n",
+       "      <th>diagnosis</th>\n",
+       "      <th>age</th>\n",
+       "      <th>gender</th>\n",
+       "      <th>bart</th>\n",
+       "      <th>bht</th>\n",
+       "      <th>dwi</th>\n",
+       "      <th>pamenc</th>\n",
+       "      <th>pamret</th>\n",
+       "      <th>rest</th>\n",
+       "      <th>scap</th>\n",
+       "      <th>stopsignal</th>\n",
+       "      <th>T1w</th>\n",
+       "      <th>taskswitch</th>\n",
+       "      <th>ScannerSerialNumber</th>\n",
+       "      <th>ghost_NoGhost</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>sub-10159</td>\n",
+       "      <td>CONTROL</td>\n",
+       "      <td>30</td>\n",
+       "      <td>F</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>35343.0</td>\n",
+       "      <td>No_ghost</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>sub-10171</td>\n",
+       "      <td>CONTROL</td>\n",
+       "      <td>24</td>\n",
+       "      <td>M</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>35343.0</td>\n",
+       "      <td>No_ghost</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>sub-10189</td>\n",
+       "      <td>CONTROL</td>\n",
+       "      <td>49</td>\n",
+       "      <td>M</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>35343.0</td>\n",
+       "      <td>No_ghost</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>sub-10193</td>\n",
+       "      <td>CONTROL</td>\n",
+       "      <td>40</td>\n",
+       "      <td>M</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>35343.0</td>\n",
+       "      <td>No_ghost</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>sub-10206</td>\n",
+       "      <td>CONTROL</td>\n",
+       "      <td>21</td>\n",
+       "      <td>M</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>35343.0</td>\n",
+       "      <td>No_ghost</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  participant_id diagnosis  age gender  bart  bht  dwi  pamenc  pamret  rest  \\\n",
+       "0      sub-10159   CONTROL   30      F   1.0  NaN  1.0     NaN     NaN   1.0   \n",
+       "1      sub-10171   CONTROL   24      M   1.0  1.0  1.0     NaN     NaN   1.0   \n",
+       "2      sub-10189   CONTROL   49      M   1.0  NaN  1.0     NaN     NaN   1.0   \n",
+       "3      sub-10193   CONTROL   40      M   1.0  NaN  1.0     NaN     NaN   NaN   \n",
+       "4      sub-10206   CONTROL   21      M   1.0  NaN  1.0     NaN     NaN   1.0   \n",
+       "\n",
+       "   scap  stopsignal  T1w  taskswitch  ScannerSerialNumber ghost_NoGhost  \n",
+       "0   1.0         1.0  1.0         1.0              35343.0      No_ghost  \n",
+       "1   1.0         1.0  1.0         1.0              35343.0      No_ghost  \n",
+       "2   1.0         1.0  1.0         1.0              35343.0      No_ghost  \n",
+       "3   NaN         NaN  1.0         NaN              35343.0      No_ghost  \n",
+       "4   1.0         1.0  1.0         1.0              35343.0      No_ghost  "
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "participant_metadata.loc[:4]"
    ]
@@ -406,9 +4015,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 18,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(272, 16)"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "participant_metadata.shape"
    ]
@@ -431,9 +4051,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 19,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "272"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "participant_metadata['participant_id'].count()"
    ]
@@ -448,9 +4079,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 20,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['CONTROL', 'SCHZ', 'BIPOLAR', 'ADHD'], dtype=object)"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "participant_metadata['diagnosis'].unique()"
    ]
@@ -464,9 +4106,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 21,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "CONTROL    130\n",
+       "SCHZ        50\n",
+       "BIPOLAR     49\n",
+       "ADHD        43\n",
+       "Name: diagnosis, dtype: int64"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "participant_metadata['diagnosis'].value_counts()"
    ]
@@ -480,18 +4137,51 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 22,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "M    155\n",
+       "F    117\n",
+       "Name: gender, dtype: int64"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "participant_metadata['gender'].value_counts()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 23,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "diagnosis  gender\n",
+       "ADHD       F         22\n",
+       "           M         21\n",
+       "BIPOLAR    F         21\n",
+       "           M         28\n",
+       "CONTROL    F         62\n",
+       "           M         68\n",
+       "SCHZ       F         12\n",
+       "           M         38\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "participant_metadata.groupby(['diagnosis', 'gender']).size()"
    ]
@@ -505,9 +4195,60 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 24,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "## UCLA Consortium for Neuropsychiatric Phenomics LA5c Study\r\n",
+      "\r\n",
+      "Preprocessed data described in\r\n",
+      "\r\n",
+      "\r\n",
+      "Gorgolewski KJ, Durnez J and Poldrack RA. Preprocessed Consortium for Neuropsychiatric Phenomics dataset. F1000Research 2017, 6:1262\r\n",
+      "https://doi.org/10.12688/f1000research.11964.2\r\n",
+      "\r\n",
+      "\r\n",
+      "are available at https://legacy.openfmri.org/dataset/ds000030/ and via Amazon Web Services S3 protocol at: s3://openneuro/ds000030/ds000030_R1.0.5/uncompressed/derivatives/\r\n",
+      "\r\n",
+      "## Subjects / Participants\r\n",
+      "The participants.tsv file contains subject IDs with demographic informations as well as an inventory of the scans that are included for each subject.\r\n",
+      "\r\n",
+      "## Dataset Derivatives (/derivatives)\r\n",
+      "The /derivaties folder contains summary information that reflects the data and its contents:\r\n",
+      "\r\n",
+      "1. Final_Scan_Count.pdf - Plot showing the over all scan inclusion, for quick reference.\r\n",
+      "2. parameter_plots/ - Folder contains many scan parameters plotted over time. Plot symbols are color coded by imaging site. Intended to provide a general sense of protocol adherence throughout the study. Individual parameters scan be found in the scan .json sidecar file. A single file containing the combined data from all of the imaging .json sidecars if provided in parameter_plots/MR_Scan_Parameters.tsv file.\r\n",
+      "3. physio_plots/ - Folder contains a plot of the physiological recording trace for the Breath Hold and Resting State functional scans. For the BHT, the instructional cue timings are represented by shaded background.\r\n",
+      "4. event_plots/ - Simple plots of the function task events files. The x-axis is always time (onset), and the y-axis can be task-specific. Also intended as a quick reference or summary.\r\n",
+      "5. mriqcp/ - Output of the current version (as of 27 Jan 2016) of MRIQCP (MRI Quality Control Protocol: https://github.com/poldracklab/mriqc). Included are numeric results of anatomical and functional protocols as well as single subject results plotted against group distribution.\r\n",
+      "6. data_browser/ - a rudimentary data visualization for MRIQP (see: http://wtriplett.github.io/ds030/)\r\n",
+      "\r\n",
+      "## Scan-specific Notes\r\n",
+      "\r\n",
+      "All scan files were converted from scanner DICOM files using dcm2niix (0c9e5c8 from https://github.com/neurolabusc/dcm2niix.git). Extra DICOM metadata elements were extracted using GDCM (http://gdcm.sourceforge.net/wiki/index.php/Main_Page) and combined to form each scan's .json sidecar.\r\n",
+      "\r\n",
+      "**Note regarding scan and task timing**: In most cases, the trigger time was provided in the task data file and has been transferred into the TaskParameter section of each scans *_bold.json file. If the trigger time is available, a correction was performed to the onset times to account for trigger delay. The uncompensated onset times are included in the onset_NoTriggerAdjust column. There will be an 8 second discrepancy between the compensated and uncompensated that accounts for pre-scans (4 TRs) performed by the scanner. In the cases where the trigger time is not available, the output of (TotalScanTime - nVols*RepetitionTime) may provide an estimate of pre-scan time.\r\n",
+      "\r\n",
+      "### T1w Anatomical\r\n",
+      "Defacing was performed using freesurfer mri_deface (https://surfer.nmr.mgh.harvard.edu/fswiki/mri_deface)\r\n",
+      "\r\n",
+      "    Bischoff-Grethe, Amanda et al. \"A Technique for the Deidentification of Structural Brain MR Images.\" Human brain mapping 28.9 (2007): 892–903. PMC. Web. 27 Jan. 2016.\r\n",
+      "\r\n",
+      "### PAMenc / PAMret\r\n",
+      "The larger amount of missing PAM scans is due to a task design change early in the study. It was decided that data collected before the design change would be excluded.\r\n",
+      "\r\n",
+      "### Stop Signal\r\n",
+      "The Stop Signal task consisted of both a training task (no MRI) and the in-scanner fMRI task. The data from the training run is included in each subject's beh folder with the task name \"stopsignaltraining\".\r\n",
+      "\r\n",
+      "\r\n",
+      "## Known Issues:\r\n",
+      "Some of the T1-weighted images included within this dataset  (around 20%) show an aliasing artifact potentially generated by a headset. The artifact renders as a ghost that may overlap the cortex through one or both temporal lobes. A list of participants showing the artifact has been added to the dataset.\r\n"
+     ]
+    }
+   ],
    "source": [
     "!cat ../../data/ds000030/README"
    ]
@@ -528,9 +4269,311 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 25,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>participant_id</th>\n",
+       "      <th>diagnosis</th>\n",
+       "      <th>age</th>\n",
+       "      <th>gender</th>\n",
+       "      <th>bart</th>\n",
+       "      <th>bht</th>\n",
+       "      <th>dwi</th>\n",
+       "      <th>pamenc</th>\n",
+       "      <th>pamret</th>\n",
+       "      <th>rest</th>\n",
+       "      <th>scap</th>\n",
+       "      <th>stopsignal</th>\n",
+       "      <th>T1w</th>\n",
+       "      <th>taskswitch</th>\n",
+       "      <th>ScannerSerialNumber</th>\n",
+       "      <th>ghost_NoGhost</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>sub-10159</td>\n",
+       "      <td>CONTROL</td>\n",
+       "      <td>30</td>\n",
+       "      <td>F</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>35343.0</td>\n",
+       "      <td>No_ghost</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>sub-10171</td>\n",
+       "      <td>CONTROL</td>\n",
+       "      <td>24</td>\n",
+       "      <td>M</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>35343.0</td>\n",
+       "      <td>No_ghost</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>sub-10189</td>\n",
+       "      <td>CONTROL</td>\n",
+       "      <td>49</td>\n",
+       "      <td>M</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>35343.0</td>\n",
+       "      <td>No_ghost</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>sub-10206</td>\n",
+       "      <td>CONTROL</td>\n",
+       "      <td>21</td>\n",
+       "      <td>M</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>35343.0</td>\n",
+       "      <td>No_ghost</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>sub-10217</td>\n",
+       "      <td>CONTROL</td>\n",
+       "      <td>33</td>\n",
+       "      <td>F</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>35343.0</td>\n",
+       "      <td>No_ghost</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>175</th>\n",
+       "      <td>sub-50077</td>\n",
+       "      <td>SCHZ</td>\n",
+       "      <td>29</td>\n",
+       "      <td>M</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>35426.0</td>\n",
+       "      <td>No_ghost</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>176</th>\n",
+       "      <td>sub-50080</td>\n",
+       "      <td>SCHZ</td>\n",
+       "      <td>29</td>\n",
+       "      <td>M</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>35426.0</td>\n",
+       "      <td>No_ghost</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>177</th>\n",
+       "      <td>sub-50081</td>\n",
+       "      <td>SCHZ</td>\n",
+       "      <td>32</td>\n",
+       "      <td>M</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>35426.0</td>\n",
+       "      <td>No_ghost</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>178</th>\n",
+       "      <td>sub-50083</td>\n",
+       "      <td>SCHZ</td>\n",
+       "      <td>40</td>\n",
+       "      <td>M</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>35426.0</td>\n",
+       "      <td>No_ghost</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>179</th>\n",
+       "      <td>sub-50085</td>\n",
+       "      <td>SCHZ</td>\n",
+       "      <td>25</td>\n",
+       "      <td>M</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>35343.0</td>\n",
+       "      <td>ghost</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>172 rows × 16 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    participant_id diagnosis  age gender  bart  bht  dwi  pamenc  pamret  \\\n",
+       "0        sub-10159   CONTROL   30      F   1.0  NaN  1.0     NaN     NaN   \n",
+       "1        sub-10171   CONTROL   24      M   1.0  1.0  1.0     NaN     NaN   \n",
+       "2        sub-10189   CONTROL   49      M   1.0  NaN  1.0     NaN     NaN   \n",
+       "4        sub-10206   CONTROL   21      M   1.0  NaN  1.0     NaN     NaN   \n",
+       "5        sub-10217   CONTROL   33      F   1.0  NaN  1.0     NaN     NaN   \n",
+       "..             ...       ...  ...    ...   ...  ...  ...     ...     ...   \n",
+       "175      sub-50077      SCHZ   29      M   1.0  1.0  1.0     1.0     1.0   \n",
+       "176      sub-50080      SCHZ   29      M   1.0  1.0  1.0     1.0     1.0   \n",
+       "177      sub-50081      SCHZ   32      M   1.0  1.0  1.0     1.0     1.0   \n",
+       "178      sub-50083      SCHZ   40      M   1.0  1.0  1.0     1.0     1.0   \n",
+       "179      sub-50085      SCHZ   25      M   1.0  1.0  1.0     1.0     1.0   \n",
+       "\n",
+       "     rest  scap  stopsignal  T1w  taskswitch  ScannerSerialNumber  \\\n",
+       "0     1.0   1.0         1.0  1.0         1.0              35343.0   \n",
+       "1     1.0   1.0         1.0  1.0         1.0              35343.0   \n",
+       "2     1.0   1.0         1.0  1.0         1.0              35343.0   \n",
+       "4     1.0   1.0         1.0  1.0         1.0              35343.0   \n",
+       "5     1.0   1.0         1.0  1.0         1.0              35343.0   \n",
+       "..    ...   ...         ...  ...         ...                  ...   \n",
+       "175   1.0   1.0         1.0  1.0         1.0              35426.0   \n",
+       "176   1.0   1.0         1.0  1.0         1.0              35426.0   \n",
+       "177   1.0   1.0         1.0  1.0         1.0              35426.0   \n",
+       "178   1.0   1.0         1.0  1.0         1.0              35426.0   \n",
+       "179   1.0   1.0         1.0  1.0         1.0              35343.0   \n",
+       "\n",
+       "    ghost_NoGhost  \n",
+       "0        No_ghost  \n",
+       "1        No_ghost  \n",
+       "2        No_ghost  \n",
+       "4        No_ghost  \n",
+       "5        No_ghost  \n",
+       "..            ...  \n",
+       "175      No_ghost  \n",
+       "176      No_ghost  \n",
+       "177      No_ghost  \n",
+       "178      No_ghost  \n",
+       "179         ghost  \n",
+       "\n",
+       "[172 rows x 16 columns]"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "participant_metadata = participant_metadata[(participant_metadata.diagnosis.isin(['CONTROL', 'SCHZ'])) & \n",
     "                                            (participant_metadata.T1w == 1) & \n",
@@ -541,9 +4584,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3.7.7 64-bit ('mri_venv': venv)",
    "language": "python",
-   "name": "python3"
+   "name": "python37764bitmrivenvvenv5096b94eaaed40979bf315e6206a6cc9"
   },
   "language_info": {
    "codemirror_mode": {
@@ -555,7 +4598,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.7.7"
   }
  },
  "nbformat": 4,
diff --git a/code/02-anatomy-of-nifti/someones_anatomy.nii.gz b/data/someones_anatomy.nii.gz
similarity index 100%
rename from code/02-anatomy-of-nifti/someones_anatomy.nii.gz
rename to data/someones_anatomy.nii.gz
diff --git a/code/01-neuroimaging-fundamentals/T1w.gif b/fig/T1w.gif
similarity index 100%
rename from code/01-neuroimaging-fundamentals/T1w.gif
rename to fig/T1w.gif
diff --git a/code/01-neuroimaging-fundamentals/T2w.gif b/fig/T2w.gif
similarity index 100%
rename from code/01-neuroimaging-fundamentals/T2w.gif
rename to fig/T2w.gif
diff --git a/code/03-brain-imaging-data-structure/bids_structure.jpg b/fig/bids_structure.jpg
similarity index 100%
rename from code/03-brain-imaging-data-structure/bids_structure.jpg
rename to fig/bids_structure.jpg
diff --git a/code/01-neuroimaging-fundamentals/bold.gif b/fig/bold.gif
similarity index 100%
rename from code/01-neuroimaging-fundamentals/bold.gif
rename to fig/bold.gif
diff --git a/code/02-anatomy-of-nifti/coordinate_systems.png b/fig/coordinate_systems.png
similarity index 100%
rename from code/02-anatomy-of-nifti/coordinate_systems.png
rename to fig/coordinate_systems.png
diff --git a/code/01-neuroimaging-fundamentals/dicom_to_nifti.png b/fig/dicom_to_nifti.png
similarity index 100%
rename from code/01-neuroimaging-fundamentals/dicom_to_nifti.png
rename to fig/dicom_to_nifti.png
diff --git a/code/01-neuroimaging-fundamentals/dwi.gif b/fig/dwi.gif
similarity index 100%
rename from code/01-neuroimaging-fundamentals/dwi.gif
rename to fig/dwi.gif
diff --git a/code/01-neuroimaging-fundamentals/mr_scan_types.png b/fig/mr_scan_types.png
similarity index 100%
rename from code/01-neuroimaging-fundamentals/mr_scan_types.png
rename to fig/mr_scan_types.png
diff --git a/code/02-anatomy-of-nifti/mri_slices.jpg b/fig/mri_slices.jpg
similarity index 100%
rename from code/02-anatomy-of-nifti/mri_slices.jpg
rename to fig/mri_slices.jpg
diff --git a/code/02-anatomy-of-nifti/numpy_arrays.png b/fig/numpy_arrays.png
similarity index 100%
rename from code/02-anatomy-of-nifti/numpy_arrays.png
rename to fig/numpy_arrays.png
diff --git a/requirements.txt b/requirements.txt
index 062bb76..d539940 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,7 +1,7 @@
-nibabel
-pybids
-datalad
-awscli
-bids-validator
+awscli==1.18.97
+datalad==0.13.0
+matplotlib
+nibabel==3.1.1
 numpy
 pandas
+pybids==0.11.1
\ No newline at end of file