diff --git a/_freeze/site_libs/clipboard/clipboard.min.js b/_freeze/site_libs/clipboard/clipboard.min.js
index 41c6a0f7..1103f811 100644
--- a/_freeze/site_libs/clipboard/clipboard.min.js
+++ b/_freeze/site_libs/clipboard/clipboard.min.js
@@ -1,7 +1,7 @@
 /*!
- * clipboard.js v2.0.10
+ * clipboard.js v2.0.11
  * https://clipboardjs.com/
  *
  * Licensed MIT © Zeno Rocha
  */
-!function(t,e){"object"==typeof exports&&"object"==typeof module?module.exports=e():"function"==typeof define&&define.amd?define([],e):"object"==typeof exports?exports.ClipboardJS=e():t.ClipboardJS=e()}(this,function(){return n={686:function(t,e,n){"use strict";n.d(e,{default:function(){return o}});var e=n(279),i=n.n(e),e=n(370),u=n.n(e),e=n(817),c=n.n(e);function a(t){try{return document.execCommand(t)}catch(t){return}}var f=function(t){t=c()(t);return a("cut"),t};var l=function(t){var e,n,o,r=1<arguments.length&&void 0!==arguments[1]?arguments[1]:{container:document.body},i="";return"string"==typeof t?(e=t,n="rtl"===document.documentElement.getAttribute("dir"),(o=document.createElement("textarea")).style.fontSize="12pt",o.style.border="0",o.style.padding="0",o.style.margin="0",o.style.position="absolute",o.style[n?"right":"left"]="-9999px",n=window.pageYOffset||document.documentElement.scrollTop,o.style.top="".concat(n,"px"),o.setAttribute("readonly",""),o.value=e,o=o,r.container.appendChild(o),i=c()(o),a("copy"),o.remove()):(i=c()(t),a("copy")),i};function r(t){return(r="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(t){return typeof t}:function(t){return t&&"function"==typeof Symbol&&t.constructor===Symbol&&t!==Symbol.prototype?"symbol":typeof t})(t)}var s=function(){var t=0<arguments.length&&void 0!==arguments[0]?arguments[0]:{},e=t.action,n=void 0===e?"copy":e,o=t.container,e=t.target,t=t.text;if("copy"!==n&&"cut"!==n)throw new Error('Invalid "action" value, use either "copy" or "cut"');if(void 0!==e){if(!e||"object"!==r(e)||1!==e.nodeType)throw new Error('Invalid "target" value, use a valid Element');if("copy"===n&&e.hasAttribute("disabled"))throw new Error('Invalid "target" attribute. 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\ No newline at end of file
+!function(t,e){"object"==typeof exports&&"object"==typeof module?module.exports=e():"function"==typeof define&&define.amd?define([],e):"object"==typeof exports?exports.ClipboardJS=e():t.ClipboardJS=e()}(this,function(){return n={686:function(t,e,n){"use strict";n.d(e,{default:function(){return b}});var e=n(279),i=n.n(e),e=n(370),u=n.n(e),e=n(817),r=n.n(e);function c(t){try{return document.execCommand(t)}catch(t){return}}var a=function(t){t=r()(t);return c("cut"),t};function o(t,e){var n,o,t=(n=t,o="rtl"===document.documentElement.getAttribute("dir"),(t=document.createElement("textarea")).style.fontSize="12pt",t.style.border="0",t.style.padding="0",t.style.margin="0",t.style.position="absolute",t.style[o?"right":"left"]="-9999px",o=window.pageYOffset||document.documentElement.scrollTop,t.style.top="".concat(o,"px"),t.setAttribute("readonly",""),t.value=n,t);return e.container.appendChild(t),e=r()(t),c("copy"),t.remove(),e}var f=function(t){var e=1<arguments.length&&void 0!==arguments[1]?arguments[1]:{container:document.body},n="";return"string"==typeof t?n=o(t,e):t instanceof HTMLInputElement&&!["text","search","url","tel","password"].includes(null==t?void 0:t.type)?n=o(t.value,e):(n=r()(t),c("copy")),n};function l(t){return(l="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(t){return typeof t}:function(t){return t&&"function"==typeof Symbol&&t.constructor===Symbol&&t!==Symbol.prototype?"symbol":typeof t})(t)}var s=function(){var t=0<arguments.length&&void 0!==arguments[0]?arguments[0]:{},e=t.action,n=void 0===e?"copy":e,o=t.container,e=t.target,t=t.text;if("copy"!==n&&"cut"!==n)throw new Error('Invalid "action" value, use either "copy" or "cut"');if(void 0!==e){if(!e||"object"!==l(e)||1!==e.nodeType)throw new Error('Invalid "target" value, use a valid Element');if("copy"===n&&e.hasAttribute("disabled"))throw new Error('Invalid "target" attribute. 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diff --git a/how-tos/read_data.qmd b/how-tos/read_data.qmd
index 7f1c39e8..db50882a 100644
--- a/how-tos/read_data.qmd
+++ b/how-tos/read_data.qmd
@@ -15,12 +15,14 @@ execute:
 We recommend using `xarray`'s [open_dataset](https://docs.xarray.dev/en/stable/generated/xarray.open_dataset.html)
 
 ### For a single file
+
 ```python
 import xarray as xr
 ds = xr.open_dataset(filename)
 ```
 
 ### For multiple files
+
 ```python
 import xarray as xr
 ds = xr.open_mfdataset(list_of_filenames)
@@ -53,13 +55,19 @@ The low-level interface is a thin wrapper around the underlying netCDF C library
 ```bash
 filename = "example.nc";
 varname = "peaks";
-ncid = netcdf.open(filename,"NC_NOWRITE");
-varid = netcdf.inqVarID(ncid,varname);
-peaksData = netcdf.getVar(ncid,varid);
-netcdf.close(ncid)
+ncID = netcdf.open(filename,"NC_NOWRITE");
+varID = netcdf.inqVarID(ncID,varname);
+peaksData = netcdf.getVar(ncID,varID);
+netcdf.close(ncID);
 surf(peaksData);
 ```
 
+**Notes**
+
+* Unlike MATLAB HDF5 interfaces, netCDF interfaces are not cloud enabled (yet). 
+* As HDF5 interfaces support reading netCDF 4 files, users must currently use these interfaces for accessing netCDF 4 files stored on the cloud (see tutorial _MATLAB Access Single NASA EarthData L2 NetCDF_ in this Cookbook).
+* MATLAB netCDF interfaces support OPeNDAP and byte-range for reading data.
+
 :::
 
 
@@ -90,15 +98,29 @@ R code coming soon!
 # Coming soon!
 ```
 
-## Matlab
+## MATLAB
 
-Matlab code coming soon!
+MATLAB provides low- and high-level programmatic interfaces for interacting with [HDF5](https://www.mathworks.com/help/matlab/hdf5-files.html) and [HDF4](https://www.mathworks.com/help/matlab/hdf4.html) files. 
+
+Focusing on HDF5, which is currently more prevalent, the high-level interface is made of seven high-level functions for getting information about HDF5 files and their content, creating datasets, and reading and writing datasets and attributes.
 
 ```bash
-#| echo: true
-# Coming soon!
+filename = "example.h5";
+h5disp(filename);  % Display file content
+ds = "/g4/lat";
+lat = h5read(filename,ds);
 ```
 
+The low-level interface is a thin wrapper around the underlying HDF5 C library. It is made of more than 300 functions organized in packages (H5F for file management, H5D for dataset management, etc.).
+```bash
+filename = "example.h5";
+ds = "/g4/lat";
+fID = H5F.open(filename); 
+dsID = H5D.open(fID,ds);
+lat = H5D.read(dsID);
+H5D.close(dsID);
+H5F.close(fID);
+```
 
 :::
 
@@ -125,23 +147,18 @@ R code coming soon!
 # Coming soon!
 ```
 
-## Matlab
+## MATLAB
 
-Matlab code coming soon!
+[MATLAB Mapping Toolbox](https://www.mathworks.com/help/map/index.html) supports interacting with GeoTIFF files through a series of [functions for handling raster data](https://www.mathworks.com/help/map/standard-file-formats.html) (under Raster Data), and the function [`geotiffread`](https://www.mathworks.com/help/map/ref/geotiffread.html) althrough not recommended but for a few edge cases.
 
 ```bash
-#| echo: true
-# Coming soon!
+[A,R] = readgeoraster("myGeoTiffFile.tif");
+mapshow(A,R);
 ```
-
-
 :::
 
-
-
 ## Shapefiles & GeoJSON
 
-
 ::: {.panel-tabset group="language"}
 
 ## Python
@@ -161,16 +178,18 @@ R code coming soon!
 # Coming soon!
 ```
 
-## Matlab
+## MATLAB
 
-Matlab code coming soon!
+[MATLAB Mapping Toolbox](https://www.mathworks.com/help/map/index.html) supports interacting with shapefiles and GeoJSON files through a series of [functions for handling vector data](https://www.mathworks.com/help/map/standard-file-formats.html) (under Vector Data), in particular `readgeotable`, `shapeinfo`, `shaperead`, and `shapewrite`.
 
 ```bash
-#| echo: true
-# Coming soon!
-```
-
+% Read shapefile of countries specifying the name of the attributes to read.
+S = shaperead("Countries.shp","Attributes",["ISO_2DIGIT","CNTRY_NAME"]);
 
+% Read GeoJSON data from a website and save it in the file storms.geojson.
+websave("storms.geojson","https://www.spc.noaa.gov/products/outlook/day1otlk_cat.lyr.geojson");
+GT = readgeotable("storms.geojson");
+```
 
 :::
 
@@ -196,16 +215,28 @@ R code coming soon!
 # Coming soon!
 ```
 
-## Matlab
+## MATLAB
 
-Matlab code coming soon!
+MATLAB supports interacting with CSV files and other tabular file formats through functions [`readtable`](https://www.mathworks.com/help/matlab/ref/readtable.html), [`readtimetable`](https://www.mathworks.com/help/matlab/ref/readtimetable.html), [`readcell`](https://www.mathworks.com/help/matlab/ref/readcell.html), and [`readmatrix`](https://www.mathworks.com/help/matlab/ref/readmatrix.html), as well as their counterparts for writing to files.
 
 ```bash
-#| echo: true
-# Coming soon!
+% Read time table and display summary
+TT = readtimetable('myTimeTable.csv');
+summary(TT)
+```
+
+Advanced workflows can be implemented using [`detectImportOptions`](https://www.mathworks.com/help/matlab/ref/detectimportoptions.html) and functions referenced in its documentation.
+
+```bash
+% Read variables "TaxiIn" and "TaxiOut" from airlines dataset
+opts.SelectedVariableNames = ["TaxiIn","TaxiOut"];
+T = readtable("myAirlinesDataset.csv",opts);
 ```
 
+**Notes**
 
+* MATLAB provides higher-level mechanisms form importing data files through the function [`importdata`](https://www.mathworks.com/help/matlab/ref/importdata.html) and the [Import Tool](https://www.mathworks.com/help/matlab/ref/importtool.html).
+* A general list of functions and workflows for interacting with deliimited and formatted text files is provided [here](https://www.mathworks.com/help/matlab/text-files.html).
 
 :::
 
@@ -232,20 +263,47 @@ R code coming soon!
 # Coming soon!
 ```
 
-## Matlab
+## MATLAB
 
-Matlab code coming soon!
+See section about CSV files.
 
-```bash
-#| echo: true
+:::
+
+
+## MAT-Files (.mat)
+
+
+::: {.panel-tabset group="language"}
+
+## Python
+
+
+```python
+#coming soon! scipy & .mat
+```
+
+
+## R
+
+R code coming soon!
+
+```r
 # Coming soon!
 ```
 
+## MATLAB
+
+MATLAB can interact with MAT-Files (.mat) using functions [`load`](https://www.mathworks.com/help/matlab/ref/load.html), [`save`](https://www.mathworks.com/help/matlab/ref/save.html), and through [`matfile`](https://www.mathworks.com/help/matlab/ref/matlab.io.matfile.html) objects.
 
+**Notes**
+
+* MATLAB provides higher-level mechanisms form importing data files through the function [`importdata`](https://www.mathworks.com/help/matlab/ref/importdata.html) and the [Import Tool](https://www.mathworks.com/help/matlab/ref/importtool.html).
+* [Multiple versions of the MAT-File format](https://www.mathworks.com/help/matlab/import_export/mat-file-versions.html) have been released. The latest, MAT-File v7.3 is based on the HDF5 file format.
 
 :::
 
-## .mat Files
+
+## Text Data Files
 
 
 ::: {.panel-tabset group="language"}
@@ -254,7 +312,7 @@ Matlab code coming soon!
 
 
 ```python
-#coming soon! scipy & .mat
+# Coming soon!
 ```
 
 
@@ -266,16 +324,14 @@ R code coming soon!
 # Coming soon!
 ```
 
-## Matlab
-
-Matlab code coming soon!
+## MATLAB
 
-```bash
-#| echo: true
-# Coming soon!
-```
+MATLAB provides a series of functions for interacting with text files. In addition to functions listed in sections about CSV and Binary files, MATLAB provides functions [`fileread`](https://www.mathworks.com/help/matlab/ref/fileread.html) for reading the content of a whole file as text, and [`readlines`](https://www.mathworks.com/help/matlab/ref/readlines.html) and [`writelines`](https://www.mathworks.com/help/matlab/ref/writelines.html) for reading/writing lines to text files.
 
+**Notes**
 
+* MATLAB provides higher-level mechanisms form importing data files through the function [`importdata`](https://www.mathworks.com/help/matlab/ref/importdata.html) and the [Import Tool](https://www.mathworks.com/help/matlab/ref/importtool.html).
+* MATLAB [patterns](https://www.mathworks.com/help/matlab/ref/pattern.html) and [regular expressions](https://www.mathworks.com/help/matlab/matlab_prog/regular-expressions.html) are useful for processing unstructured text data.
 
 :::
 
@@ -301,15 +357,13 @@ R code coming soon!
 # Coming soon!
 ```
 
-## Matlab
-
-Matlab code coming soon!
+## MATLAB
 
-```bash
-#| echo: true
-# Coming soon!
-```
+MATLAB supports interacting with binary files through low-level IO functions [`fopen`](https://www.mathworks.com/help/matlab/ref/fopen.html), [`fclose`](https://www.mathworks.com/help/matlab/ref/fclose.html), [`ferror`](https://www.mathworks.com/help/matlab/ref/ferror.html), [`fseek`](https://www.mathworks.com/help/matlab/ref/fseek.html), [`ftell`](https://www.mathworks.com/help/matlab/ref/ftell.html), [`feof`](https://www.mathworks.com/help/matlab/ref/feof.html), [`fscanf`](https://www.mathworks.com/help/matlab/ref/fscanf.html), [`fprintf`](https://www.mathworks.com/help/matlab/ref/fprintf.html), [`fread`](https://www.mathworks.com/help/matlab/ref/fread.html), [`fwrite`](https://www.mathworks.com/help/matlab/ref/fwrite.html), and [`frewind`](https://www.mathworks.com/help/matlab/ref/frewind.html).
 
+**Notes**
 
+* MATLAB provides higher-level mechanisms form importing data files through the function [`importdata`](https://www.mathworks.com/help/matlab/ref/importdata.html) and the [Import Tool](https://www.mathworks.com/help/matlab/ref/importtool.html).
+* It is rare that ones must implement custom binary data file readers/writers, because MATLAB and its toolboxes provide functions for reading and writing a large number of data file formats.
 
 :::