Fixed broken quickstart link in notebooks

Author: NeoKish

docs/examples/cdippy-boxplot.ipynb

@@ -6,7 +6,7 @@
    "metadata": {},
    "source": [
     "# CDIPpy Example - Boxplot of Monthly-Averaged Significant Wave Height\n",
-    "The following example runs an application of the [CDIPpy](https://cdipsw.github.io/CDIPpy/quickstart/) python library to create plot of monthly-averaged boxes of Significant Wave Height (Hs) data across one year.\n",
+    "The following example runs an application of the [CDIPpy](https://ucsd-sio-cdip.github.io/CDIPpy/quickstart/) python library to create plot of monthly-averaged boxes of Significant Wave Height (Hs) data across one year.\n",
     "* See http://cdip.ucsd.edu/themes/cdip?pb=1&bl=cdip?pb=1&d2=p70&u3=s:093:st:1:v:hs_box_plot:dt:2011 for example Hs Boxplot.\n",
     "\n",
     "Steps:\n",

docs/examples/cdippy-compendium.ipynb

@@ -5,7 +5,7 @@
    "metadata": {},
    "source": [
     "# CDIPpy Example - Compendium Plot\n",
-    "The following example runs an application of the [CDIPpy](https://cdipsw.github.io/CDIPpy/quickstart/) python library to create plots of significant wave height (Hs), peak period (Tp) and peak direction (Dp) for a single station for a given month on 3 separate plots. The format of this plot is consistent with the original USACE wave parameters plot known as the wave compendium plot. Plotting all 3 parameters simultaneously gives a concise display of the general wave environment for the month.\n",
+    "The following example runs an application of the [CDIPpy](https://ucsd-sio-cdip.github.io/CDIPpy/quickstart/) python library to create plots of significant wave height (Hs), peak period (Tp) and peak direction (Dp) for a single station for a given month on 3 separate plots. The format of this plot is consistent with the original USACE wave parameters plot known as the wave compendium plot. Plotting all 3 parameters simultaneously gives a concise display of the general wave environment for the month.\n",
     "\n",
     "1) read in CDIP station metadata,\n",
     "2) access wave data for time period of interest,\n",

docs/examples/cdippy-quality-control.ipynb

@@ -5,7 +5,7 @@
    "metadata": {},
    "source": [
     "# CDIPpy Example - Quality Control\n",
-    "The following example runs an application of the [CDIPpy](https://cdipsw.github.io/CDIPpy/quickstart/) python library to access non-public and public data for a CDIP station of interest.  Flags are set in the dataset which can be used to mask the dataset and show data that have passed quality control routines.  These flags include:\n",
+    "The following example runs an application of the [CDIPpy](https://ucsd-sio-cdip.github.io/CDIPpy/quickstart/) python library to access non-public and public data for a CDIP station of interest.  Flags are set in the dataset which can be used to mask the dataset and show data that have passed quality control routines.  These flags include:\n",
     "* WaveFlagPrimary\n",
     "* WaveFlagSecondary\n",
     "\n",

docs/examples/cdippy-spectrum1d.ipynb

@@ -5,7 +5,7 @@
    "metadata": {},
    "source": [
     "# CDIPpy Example - Wave Spectrum\n",
-    "The following example runs an application of the [CDIPpy](https://cdipsw.github.io/CDIPpy/quickstart/) python library to create a plot of wave spectrum (1-D).  A single spectral wave record contains energy density and mean wave direction for each frequency bin (click here for an explanation of a CDIP spectral file). The top frame plots energy density vs. frequency, and the second plots mean wave direction vs. frequency. Note that the x-axis includes a scale for both frequency in Hz (bottom) and period in seconds (top).\n",
+    "The following example runs an application of the [CDIPpy](https://ucsd-sio-cdip.github.io/CDIPpy/quickstart/) python library to create a plot of wave spectrum (1-D).  A single spectral wave record contains energy density and mean wave direction for each frequency bin (click here for an explanation of a CDIP spectral file). The top frame plots energy density vs. frequency, and the second plots mean wave direction vs. frequency. Note that the x-axis includes a scale for both frequency in Hz (bottom) and period in seconds (top).\n",
     "\n",
     "1) read in CDIP station metadata,\n",
     "2) access wave spectra data for single time record of interest,\n",

docs/examples/cdippy-spectrum2d.ipynb

@@ -5,7 +5,7 @@
    "metadata": {},
    "source": [
     "# CDIPpy Example - Wave Spectrum 2D\n",
-    "The following example runs an application of the [CDIPpy](https://cdipsw.github.io/CDIPpy/quickstart/) python library to create a 2D Polar plot of Energy Spectrum, based on Frequency bands (64) and Directions (0-360).  Data are from the CDIP Maximum Entropy Method (MEM) 2D Energy Spectrum (click [here](http://cdip.ucsd.edu/data_access/MEM_2dspectra.cdip) for an explanation of a MEM2D). \n",
+    "The following example runs an application of the [CDIPpy](https://ucsd-sio-cdip.github.io/CDIPpy/quickstart/) python library to create a 2D Polar plot of Energy Spectrum, based on Frequency bands (64) and Directions (0-360).  Data are from the CDIP Maximum Entropy Method (MEM) 2D Energy Spectrum (click [here](http://cdip.ucsd.edu/data_access/MEM_2dspectra.cdip) for an explanation of a MEM2D). \n",
     "\n",
     "1) read in CDIP station metadata,\n",
     "2) find closest spectral record based on user start time,\n",

docs/examples/cdippy-sst.ipynb

@@ -6,7 +6,7 @@
    "metadata": {},
    "source": [
     "# CDIPpy Example - SST Plot\n",
-    "The following example runs an application of the [CDIPpy](https://cdipsw.github.io/CDIPpy/quickstart/) python library to create a plot showing SST data (measured by Datawell Waverider thermistors at the sea surface, near the mooring eye of the buoy) over the entire month. Buoys return one SST value each half hour. \n",
+    "The following example runs an application of the [CDIPpy](https://ucsd-sio-cdip.github.io/CDIPpy/quickstart/) python library to create a plot showing SST data (measured by Datawell Waverider thermistors at the sea surface, near the mooring eye of the buoy) over the entire month. Buoys return one SST value each half hour. \n",
     "\n",
     "1) read in CDIP station metadata,\n",
     "2) access sst data for time period of interest,\n",

docs/examples/cdippy-xyz.ipynb

@@ -5,7 +5,7 @@
    "metadata": {},
    "source": [
     "# CDIPpy Example - XYZ Displacements Plot\n",
-    "The following example runs an application of the [CDIPpy](https://cdipsw.github.io/CDIPpy/quickstart/) python library to create subplots of: North/South Displacement (X), East/West Displacement (Y) and Vertical Displacement (Z).  Code utilizes CDIPPY get_xyz() function to call get_series with vrs set to xyz variables.\n",
+    "The following example runs an application of the [CDIPpy](https://ucsd-sio-cdip.github.io/CDIPpy/quickstart/) python library to create subplots of: North/South Displacement (X), East/West Displacement (Y) and Vertical Displacement (Z).  Code utilizes CDIPPY get_xyz() function to call get_series with vrs set to xyz variables.\n",
     "\n",
     "1) read in CDIP station metadata,\n",
     "2) access wave data for time period of interest,\n",