diff --git a/examples/demo_sacc_for_clusters_N+M.ipynb b/examples/demo_sacc_for_clusters_N+M.ipynb
index 0284ed5..0eb41e4 100644
--- a/examples/demo_sacc_for_clusters_N+M.ipynb
+++ b/examples/demo_sacc_for_clusters_N+M.ipynb
@@ -17,7 +17,7 @@
     "- generate a mock cluster catalog in richness-redshift bins. This is done using NumCosmo functionalities and requires Numcosmo v>=0.17\n",
     "- store all this information using the SACC framework. We present to cases:\n",
     "    - store **number counts and mean mass** in a single SACC file;\n",
-    "    - store **number counts and radial shear profile** in a single SACC file\n",
+    "    - store **number counts and radial shear profile ($\\Delta \\Sigma$)** in a single SACC file\n",
     "\n",
     "For the latter, in each richness-redshift bin, we generate a mock radial shear profile using CLMM. This is meant to correspond to the stacked shear profile in that bin.\n",
     "\n",
@@ -43,7 +43,6 @@
     "# This require Numcosmo v>=0.17\n",
     "from numcosmo_py import Nc\n",
     "from numcosmo_py import Ncm\n",
-    "\n",
     "import sacc as sacc\n",
     "\n",
     "os.environ[\n",
@@ -199,7 +198,7 @@
    "source": [
     "## SACC for number counts and mean mass in the $N_{\\rm richness} \\times N_z$ richness-redshift plane\n",
     "- count halos and compute mean mass in each bin, directly from the data generated at the previous step\n",
-    "- associate a \"mock\" shear profile, generated using CLMM from the mean mass in the bin, mock diagonal inter-radial bin covariance. Very rough/quick solution to get some \"shear profile data\".\n"
+    "- associate a \"mock\" shear profile $\\Delta \\Sigma$, generated using CLMM from the mean mass in the bin, mock diagonal inter-radial bin covariance. Very rough/quick solution to get some \"shear profile data\".\n"
    ]
   },
   {
@@ -382,7 +381,7 @@
     "tags": []
    },
    "source": [
-    "## SACC for number counts and shear profile in the $N_{\\rm richness} \\times N_z$ richness-redshift plane\n",
+    "## SACC for number counts and shear profile $\\Delta \\Sigma$ in the $N_{\\rm richness} \\times N_z$ richness-redshift plane\n",
     "\n",
     "\n",
     "Rather than saving the mean mass into SACC, one may want to save the 'stacked' shear profile in a richness-redshift bin. This possible as exemplified below. "
@@ -500,7 +499,7 @@
     "    )\n",
     "    bin_radius_labels.append(bin_radius_label)\n",
     "\n",
-    "cluster_shear = sacc.standard_types.cluster_shear"
+    "cluster_delta_sigma = sacc.standard_types.cluster_delta_sigma"
    ]
   },
   {
@@ -529,7 +528,7 @@
     "    profile = moo.eval_excess_surface_density(radius_centers, redshift)\n",
     "    for i, bin_radius_label in enumerate(bin_radius_labels):\n",
     "        s_count2.add_data_point(\n",
-    "            cluster_shear,\n",
+    "            cluster_delta_sigma,\n",
     "            (survey_name, bin_z_label, bin_richness_label, bin_radius_label),\n",
     "            profile[i],\n",
     "        )"
@@ -542,7 +541,7 @@
    "source": [
     "This is what the data now looks like:\n",
     "- 4 richness x 3 redshift bins \"number counts\" datapoints\n",
-    "- 4 richness x 3 redshift x 6 radius bins \"shear profile\" datapoints"
+    "- 4 richness x 3 redshift x 6 radius bins \"shear profile\" $\\Delta \\Sigma$ datapoints"
    ]
   },
   {
@@ -560,7 +559,7 @@
    "id": "b641b9c2-b261-4b80-a9ad-a4b22f5255ac",
    "metadata": {},
    "source": [
-    "### Santity check - plotting the shear profile for two richness bins, to check that the high richness bin as higher shear (i.e. ordering of data is OK)"
+    "### Santity check - plotting the shear profile $\\Delta \\Sigma$ for two richness bins, to check that the high richness bin as higher shear (i.e. ordering of data is OK)"
    ]
   },
   {
@@ -572,7 +571,7 @@
    "source": [
     "DS0 = [\n",
     "    s_count2.get_data_points(\n",
-    "        data_type=\"cluster_shear\",\n",
+    "        data_type=\"cluster_delta_sigma\",\n",
     "        tracers=(\n",
     "            \"NC_mock_redshift_richness\",\n",
     "            \"bin_z_1\",\n",
@@ -584,7 +583,7 @@
     "]\n",
     "DS2 = [\n",
     "    s_count2.get_data_points(\n",
-    "        data_type=\"cluster_shear\",\n",
+    "        data_type=\"cluster_delta_sigma\",\n",
     "        tracers=(\n",
     "            \"NC_mock_redshift_richness\",\n",
     "            \"bin_z_1\",\n",
@@ -617,9 +616,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python (firecrown20.0)",
    "language": "python",
-   "name": "python3"
+   "name": "firecrown_20"
   },
   "language_info": {
    "codemirror_mode": {
@@ -631,7 +630,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.13.0"
   }
  },
  "nbformat": 4,
diff --git a/sacc/data_types.py b/sacc/data_types.py
index 65baec4..05c5cf6 100644
--- a/sacc/data_types.py
+++ b/sacc/data_types.py
@@ -35,7 +35,8 @@
     "count": [],
     "cluster_counts": [],
     "cluster_mean_log_mass": [],
-    "cluster_shear": []
+    "cluster_shear": [],
+    "cluster_delta_sigma": [],
 }
 
 required_tags_verbose = {