diff --git a/landsat8-cog-ndvi-hvplot.ipynb b/landsat8-cog-ndvi-hvplot.ipynb
index 2e6a7d2..d06e9b2 100644
--- a/landsat8-cog-ndvi-hvplot.ipynb
+++ b/landsat8-cog-ndvi-hvplot.ipynb
@@ -342,11 +342,13 @@
    "source": [
     "# Merge all acquisitions into a single large Dataset\n",
     "datasets = []\n",
+    "dates = []\n",
     "for i,row in df.iterrows():\n",
     "    try:\n",
     "        print('loading...', row.date)\n",
     "        ds = create_multiband_dataset(row)\n",
     "        datasets.append(ds)\n",
+    "        dates.append(row.date)\n",
     "    except Exception as e:\n",
     "        print('ERROR loading, skipping acquistion!')\n",
     "        print(e)"
@@ -359,7 +361,7 @@
    "outputs": [],
    "source": [
     "%%time\n",
-    "DS = xr.concat(datasets, dim=pd.DatetimeIndex(df.date.tolist(), name='time'))\n",
+    "DS = xr.concat(datasets, dim=pd.DatetimeIndex(dates, name='time'))\n",
     "print('Dataset size (Gb): ', DS.nbytes/1e9)"
    ]
   },
@@ -658,7 +660,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.6"
+   "version": "3.6.7"
   },
   "widgets": {
    "application/vnd.jupyter.widget-state+json": {
diff --git a/landsat8-cog-ndvi.ipynb b/landsat8-cog-ndvi.ipynb
index 0246573..1f3e23d 100644
--- a/landsat8-cog-ndvi.ipynb
+++ b/landsat8-cog-ndvi.ipynb
@@ -590,11 +590,13 @@
    "source": [
     "# Merge all acquisitions into a single large Dataset\n",
     "datasets = []\n",
+    "dates = []\n",
     "for i,row in df.iterrows():\n",
     "    try:\n",
     "        print('loading...', row.date)\n",
     "        ds = create_multiband_dataset(row)\n",
     "        datasets.append(ds)\n",
+    "        dates.append(row.date)\n",
     "    except Exception as e:\n",
     "        print('ERROR loading, skipping acquistion!')\n",
     "        print(e)"
@@ -632,7 +634,7 @@
     }
    ],
    "source": [
-    "DS = xr.concat(datasets, dim=pd.DatetimeIndex(df.date.tolist(), name='time'))\n",
+    "DS = xr.concat(datasets, dim=pd.DatetimeIndex(dates, name='time'))\n",
     "print('Dataset size (Gb): ', DS.nbytes/1e9)\n",
     "DS"
    ]
@@ -981,7 +983,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.6"
+   "version": "3.6.7"
   }
  },
  "nbformat": 4,