diff --git a/csep/__init__.py b/csep/__init__.py
index 2ce613af..2710d0f5 100644
--- a/csep/__init__.py
+++ b/csep/__init__.py
@@ -214,7 +214,7 @@ def query_comcat(start_time, end_time, min_magnitude=2.50,
         verbose (bool): print catalog summary statistics
 
     Returns:
-        :class:`csep.core.catalogs.CSEPCatalog
+        :class:`csep.core.catalogs.CSEPCatalog`
     """
 
     # Timezone should be in UTC
@@ -273,7 +273,7 @@ def query_bsi(start_time, end_time, min_magnitude=2.50,
         verbose (bool): print catalog summary statistics
 
     Returns:
-        :class:`csep.core.catalogs.CSEPCatalog
+        :class:`csep.core.catalogs.CSEPCatalog`
     """
 
     # Timezone should be in UTC
@@ -429,8 +429,8 @@ class with the region and magnitude members correctly assigned.
     Args:
         fname (str): path of grid based forecast
         loader (func): function to load forecast in bespoke format needs to return :class:`csep.core.forecasts.GriddedForecast`
-                       and first argument should be required and the filename of the forecast to load
-                       called as loader(func, **kwargs).
+                       and should be called with the filename of the forecast to load as the first argument,
+                       followed by additional keyword arguments, like this: ``loader(func, **kwargs)``.
 
         **kwargs: passed into loader function
 
diff --git a/csep/core/forecasts.py b/csep/core/forecasts.py
index 37860e91..333af409 100644
--- a/csep/core/forecasts.py
+++ b/csep/core/forecasts.py
@@ -363,7 +363,7 @@ def from_custom(cls, func, func_args=(), **kwargs):
         """ Creates MarkedGriddedDataSet class from custom parsing function.
 
         Args:
-            func (callable): function will be called as func(*func_args).
+            func (callable): function will be called as func(func_args).
             func_args (tuple): arguments to pass to func
             **kwargs: keyword arguments to pass to the GriddedForecast class constructor.
 
@@ -756,6 +756,7 @@ def load_ascii(cls, fname, **kwargs):
             fname (str): path to file or directory containing forecast files
 
         Returns:
-              :class:`csep.core.forecasts.CatalogForecast
+              :class:`csep.core.forecasts.CatalogForecast`
+
         """
         raise NotImplementedError("load_ascii is not implemented!")
\ No newline at end of file
diff --git a/csep/utils/comcat.py b/csep/utils/comcat.py
index 1f22cb2a..b0c0feb8 100644
--- a/csep/utils/comcat.py
+++ b/csep/utils/comcat.py
@@ -80,110 +80,89 @@ def search(starttime=None,
            host=None,
            enable_limit=False,
            verbose=False):
-    """Search the ComCat database for events matching input criteria.
+    """
+
+    Search the ComCat database for events matching input criteria.
     This search function is a wrapper around the ComCat Web API described here:
     https://earthquake.usgs.gov/fdsnws/event/1/
     Some of the search parameters described there are NOT implemented here, usually because they do not
     apply to GeoJSON search results, which we are getting here and parsing into Python data structures.
     This function returns a list of SummaryEvent objects, described elsewhere in this package.
-    Usage:
-      TODO: Show usage information.
+
     Args:
-        starttime (datetime):
-            Python datetime - Limit to events on or after the specified start time.
-        endtime (datetime):
-            Python datetime - Limit to events on or before the specified end time.
-        updatedafter (datetime):
-           Python datetime - Limit to events updated after the specified time.
-        minlatitude (float):
-            Limit to events with a latitude larger than the specified minimum.
-        maxlatitude (float):
-            Limit to events with a latitude smaller than the specified maximum.
-        minlongitude (float):
-            Limit to events with a longitude larger than the specified minimum.
-        maxlongitude (float):
-            Limit to events with a longitude smaller than the specified maximum.
-        latitude (float):
-            Specify the latitude to be used for a radius search.
-        longitude (float):
-            Specify the longitude to be used for a radius search.
-        maxradiuskm (float):
-            Limit to events within the specified maximum number of kilometers
+        starttime (datetime): Limit to events on or after the specified start time.
+        endtime (datetime): Limit to events on or before the specified end time.
+        updatedafter (datetime): Limit to events updated after the specified time.
+        minlatitude (float): Limit to events with a latitude larger than the specified minimum.
+        maxlatitude (float): Limit to events with a latitude smaller than the specified maximum.
+        minlongitude (float): Limit to events with a longitude larger than the specified minimum.
+        maxlongitude (float): Limit to events with a longitude smaller than the specified maximum.
+        latitude (float): Specify the latitude to be used for a radius search.
+        longitude (float): Specify the longitude to be used for a radius search.
+        maxradiuskm (float): Limit to events within the specified maximum number of kilometers
             from the geographic point defined by the latitude and longitude parameters.
-        maxradius (float):
-            Limit to events within the specified maximum number of degrees
+        maxradius (float): Limit to events within the specified maximum number of degrees
             from the geographic point defined by the latitude and longitude parameters.
-        catalog (str):
-            Limit to events from a specified catalog.
-        contributor (str):
-            Limit to events contributed by a specified contributor.
-        limit (int):
-            Limit the results to the specified number of events.
-             NOTE, this will be throttled by this Python API to the supported Web API limit of 20,000.
-        maxdepth (float):
-            Limit to events with depth less than the specified maximum.
-        maxmagnitude (float):
-            Limit to events with a magnitude smaller than the specified maximum.
-        mindepth (float):
-            Limit to events with depth more than the specified minimum.
-        minmagnitude (float):
-            Limit to events with a magnitude larger than the specified minimum.
-        offset (int):
-            Return results starting at the event count specified, starting at 1.
-        orderby (str):
-            Order the results. The allowed values are:
-            - time order by origin descending time
-            - time-asc order by origin ascending time
-            - magnitude order by descending magnitude
-            - magnitude-asc order by ascending magnitude
-        alertlevel (str):
-            Limit to events with a specific PAGER alert level. The allowed values are:
-              - green Limit to events with PAGER alert level "green".
-              - yellow Limit to events with PAGER alert level "yellow".
-              - orange Limit to events with PAGER alert level "orange".
-              - red Limit to events with PAGER alert level "red".
-        eventtype (str):
-            Limit to events of a specific type. NOTE: "earthquake" will filter non-earthquake events.
-        maxcdi (float):
-            Maximum value for Maximum Community Determined Intensity reported by DYFI.
-        maxgap (float):
-            Limit to events with no more than this azimuthal gap.
-        maxmmi (float):
-            Maximum value for Maximum Modified Mercalli Intensity reported by ShakeMap.
-        maxsig (float):
-            Limit to events with no more than this significance.
-        mincdi (float):
-            Minimum value for Maximum Community Determined Intensity reported by DYFI.
-        minfelt (int):
-            Limit to events with this many DYFI responses.
-        mingap (float):
-            Limit to events with no less than this azimuthal gap.
-        minsig (float):
-            Limit to events with no less than this significance.
-        producttype (str):
-            Limit to events that have this type of product associated. Example producttypes:
-               - moment-tensor
-               - focal-mechanism
-               - shakemap
-               - losspager
-               - dyfi
-        productcode (str):
-              Return the event that is associated with the productcode.
-              The event will be returned even if the productcode is not
-              the preferred code for the event. Example productcodes:
-               - nn00458749
-               - at00ndf1fr
-        reviewstatus (str):
-            Limit to events with a specific review status. The different review statuses are:
-                - automatic Limit to events with review status "automatic".
-                - reviewed Limit to events with review status "reviewed".
-        host (str):
-            Replace default ComCat host (earthquake.usgs.gov) with a custom host.
+        catalog (str): Limit to events from a specified catalog.
+        contributor (str): Limit to events contributed by a specified contributor.
+        limit (int): Limit the results to the specified number of events.
+            NOTE: this will be throttled by this Python API to the supported Web API limit of 20,000.
+        maxdepth (float): Limit to events with depth less than the specified maximum.
+        maxmagnitude (float): Limit to events with a magnitude smaller than the specified maximum.
+        mindepth (float): Limit to events with depth more than the specified minimum.
+        minmagnitude (float): Limit to events with a magnitude larger than the specified minimum.
+        offset (int): Return results starting at the event count specified, starting at 1.
+        orderby (str): Order the results. The allowed values are:
+
+            - `time`: order by origin descending time
+            - `time-asc`: order by origin ascending time
+            - `magnitude`: order by descending magnitude
+            - `magnitude-asc`: order by ascending magnitude
+
+        alertlevel (str): Limit to events with a specific PAGER alert level. The allowed values are:
+
+            - `green`: Limit to events with PAGER alert level "green".
+            - `yellow`: Limit to events with PAGER alert level "yellow".
+            - `orange`: Limit to events with PAGER alert level "orange".
+            - `red`: Limit to events with PAGER alert level "red".
+
+        eventtype (str): Limit to events of a specific type. NOTE: "earthquake" will filter non-earthquake events.
+        maxcdi (float): Maximum value for Maximum Community Determined Intensity reported by DYFI.
+        maxgap (float): Limit to events with no more than this azimuthal gap.
+        maxmmi (float): Maximum value for Maximum Modified Mercalli Intensity reported by ShakeMap.
+        maxsig (float): Limit to events with no more than this significance.
+        mincdi (float): Minimum value for Maximum Community Determined Intensity reported by DYFI.
+        minfelt (int): Limit to events with this many DYFI responses.
+        mingap (float): Limit to events with no less than this azimuthal gap.
+        minsig (float): Limit to events with no less than this significance.
+        producttype (str): Limit to events that have this type of product associated. Example product types:
+
+            - `moment-tensor`
+            - `focal-mechanism`
+            - `shakemap`
+            - `losspager`
+            - `dyfi`
+
+        productcode (str): Return the event that is associated with the product code.
+            The event will be returned even if the product code is not
+            the preferred code for the event. Example product codes:
+
+            - `nn00458749`
+            - `at00ndf1fr`
+
+        reviewstatus (str): Limit to events with a specific review status. The different review statuses are:
+
+            - `automatic`: Limit to events with review status "automatic".
+            - `reviewed`: Limit to events with review status "reviewed".
+
+        host (str): Replace default ComCat host (earthquake.usgs.gov) with a custom host.
         enable_limit (bool): Enable 20,000 event search limit. Will turn off searching
             in segments, which is meant to safely avoid that limit.
             Use only when you are certain your search will be small.
+
     Returns:
         list: List of SummaryEvent() objects.
+
     """
     # getting the inputargs must be the first line of the method!
     inputargs = locals().copy()
diff --git a/docs/concepts/catalogs.rst b/docs/concepts/catalogs.rst
index fb351d83..fb12a184 100644
--- a/docs/concepts/catalogs.rst
+++ b/docs/concepts/catalogs.rst
@@ -187,7 +187,7 @@ Once you have a function that returns an eventlist, you can create the catalog o
     eventlist = my_custom_web_loader(...)
     catalog = csep.catalogs.CSEPCatalog(data=eventlist, **kwargs)
 
-The **kwargs represents any other keyword argument that can be passed to
+The `**kwargs` represents any other keyword argument that can be passed to
 :class:`CSEPCatalog<csep.core.catalogs.CSEPCatalog>`. This could be the ``catalog_id`` or the
 :class:`CartesianGrid2D<csep.core.regions.CartesianGrid2D>`.
 
@@ -216,6 +216,7 @@ provide some getter methods to access the essential catalog data. These return a
 ``dtype`` defined by the class.
 
 .. automodule:: csep.core.catalogs
+   :no-index:
 
 The following functions return :class:`numpy.ndarrays<numpy.ndarray>` of the catalog information.
 
@@ -287,7 +288,7 @@ object to filter events using the data type.
 
 The filter function can accept a string or a list of filter statements. If the function is called without any arguments
 the function looks to use the ``catalog.filters`` member. This can be provided during class instantiation or bound
-to the class afterward. :ref:`Here<tutorial-catalog-filtering>` is complete example of how to filter a catalog
+to the class afterward. :ref:`Here <tutorial-catalog-filtering>` is complete example of how to filter a catalog
 using the filtering strings.
 
 Filtering events in space
diff --git a/docs/concepts/evaluations.rst b/docs/concepts/evaluations.rst
index 4e26ae81..c01d6b47 100644
--- a/docs/concepts/evaluations.rst
+++ b/docs/concepts/evaluations.rst
@@ -1,6 +1,7 @@
 .. _evaluation-reference:
 
 .. automodule:: csep.core.poisson_evaluations
+   :no-index:
 
 ###########
 Evaluations
@@ -94,6 +95,7 @@ details please follow the links below and see the :ref:`example<catalog-forecast
 forecast evaluation for an end-to-end walk through.
 
 .. automodule:: csep.core.catalog_evaluations
+   :no-index:
 
 Consistency tests
 =================
diff --git a/docs/concepts/forecasts.rst b/docs/concepts/forecasts.rst
index dd4076d6..bb1662ea 100644
--- a/docs/concepts/forecasts.rst
+++ b/docs/concepts/forecasts.rst
@@ -56,7 +56,7 @@ The default file format of a gridded-forecast is a tab delimited ASCII file with
 
 Each row represents a single space-magnitude bin and the entire forecast file contains the rate for a specified
 time-horizon. An example of a gridded forecast for the RELM testing region can be found
-`here <https://github.com/SCECcode/csep2/blob/dev/csep/artifacts/ExampleForecasts/GriddedForecasts/helmstetter_et_al.hkj.aftershock-fromXML.dat>`_.
+`here <https://github.com/SCECcode/csep2/blob/dev/csep/artifacts/ExampleForecasts/GriddedForecasts/helmstetter_et_al.hkj.aftershock-fromXML.dat>`__.
 
 
 The coordinates (LON, LAT, DEPTH, MAG) describe the independent space-magnitude region of the forecast. The lower
@@ -79,7 +79,7 @@ the forecast into the appropriate format in the first place. This function has n
 expected data.
 
 .. automethod:: csep.core.forecasts.GriddedForecast.from_custom
-
+   :no-index:
 
 Working with quadtree-gridded forecasts
 ##############################################
@@ -131,7 +131,7 @@ Working with catalog-based forecasts
 
 Please see visit :ref:`this<catalog-forecast-evaluation>` example for an end-to-end tutorial on how to evaluate a catalog-based
 earthquake forecast. An example of a catalog-based forecast stored in the default pyCSEP format can be found
-`here <https://github.com/SCECcode/pycsep/blob/dev/csep/artifacts/ExampleForecasts/CatalogForecasts/ucerf3-landers_1992-06-28T11-57-34-14.csv>`_.
+`here <https://github.com/SCECcode/pycsep/blob/dev/csep/artifacts/ExampleForecasts/CatalogForecasts/ucerf3-landers_1992-06-28T11-57-34-14.csv>`__.
 
 
 The standard format for catalog-based forecasts a comma separated value ASCII format. This format was chosen to be
@@ -139,7 +139,7 @@ human-readable and easy to implement in all programming languages. Information a
 
 .. note::
     Custom formats can be supported by writing a custom function or sub-classing the
-    :ref:`AbstractBaseCatalog<csep.core.forecasts.AbstractBaseCatalog>`.
+    :class:`AbstractBaseCatalog <csep.core.catalogs.AbstractBaseCatalog>`.
 
 The event format matches the follow specfication: ::
 
diff --git a/docs/concepts/plots.rst b/docs/concepts/plots.rst
deleted file mode 100644
index 321b5e03..00000000
--- a/docs/concepts/plots.rst
+++ /dev/null
@@ -1,27 +0,0 @@
-.. _plots-reference:
-
-#####
-Plots
-#####
-
-PyCSEP provides several functions to produce commonly used plots, such as an earthquake forecast or the evaluation catalog
-or perhaps a combination of the two.
-
-.. contents:: Table of Contents
-    :local:
-    :depth: 2
-
-************
-Introduction
-************
-
-
-
-**************
-Plot arguments
-**************
-
-***************
-Available plots
-***************
-
diff --git a/docs/concepts/regions.rst b/docs/concepts/regions.rst
index 9a26fb12..23b1b316 100644
--- a/docs/concepts/regions.rst
+++ b/docs/concepts/regions.rst
@@ -1,10 +1,11 @@
-.. _regions-reference
+.. _regions-reference:
 
 #######
 Regions
 #######
 
 .. automodule:: csep.utils.basic_types
+   :no-index:
 
 PyCSEP includes commonly used CSEP testing regions and classes that facilitate working with gridded data sets. This
 module is early in development and will be a focus of future development.
@@ -16,6 +17,7 @@ module is early in development and will be a focus of future development.
 .. :currentmodule:: csep
 
 .. automodule:: csep.core.regions
+   :no-index:
 
 Practically speaking, earthquake forecasts, especially time-dependent forecasts, treat time differently than space and
 magnitude. If we consider a family of monthly forecasts for the state of California for earthquakes with **M** 3.95+,
@@ -98,9 +100,10 @@ mapping defined in (2). The :meth:`get_index_of<csep.core.regions.CartesianGrid2
 of longitudes and latitudes and returns the index of the polygon they are associated with. For instance, this index can
 now be used to access a data value stored in another data structure.
 
-.. ***************
+.. ************
+
 Testing Regions
-########################
+###############
 
 CSEP has defined testing regions that can be used for earthquake forecasting experiments. The following functions in the
 :mod:`csep.core.regions` module returns a :class:`CartesianGrid2D<csep.core.regions.CartesianGrid2D>` consistent with
@@ -112,9 +115,10 @@ these regions.
     italy_csep_region
     global_region
 
-.. ****************
+.. *************
+
 Region Utilities
-########################
+################
 
 PyCSEP also provides some utilities that can facilitate working with regions. As we expand this module, we will include
 functions to accommodate different use-cases.
@@ -192,7 +196,7 @@ Creating spatial regions
 Here, we describe how the class works starting with the class constructors and how users can create different types regions.
 
 Multi-resolution grid based on earthquake catalog
------------------------------------------
+-------------------------------------------------
 Read a global earthquake catalog in :class:`CSEPCatalog<csep.core.catalogs.CSEPCatalog>` format and use it to generate a multi-resolution quadtree-based grid constructors. ::
 
     @classmethod
@@ -200,7 +204,7 @@ Read a global earthquake catalog in :class:`CSEPCatalog<csep.core.catalogs.CSEPC
         """ Convenience function to create a multi-resolution grid using earthquake catalog """
 
 Single-resolution grid
------------------------------------------
+----------------------
 Generate a single-resolution grid at the same zoom-level everywhere. This grid does not require a catalog. It only needs the zoom-level to determine the resolution of grid.::
 
     @classmethod
@@ -208,7 +212,7 @@ Generate a single-resolution grid at the same zoom-level everywhere. This grid d
         """ Convenience function to create a single-resolution grid """
 	
 Grid loading from already created quadkeys
----------------------------------------
+------------------------------------------
 An already saved quadtree grid can also be loaded in the pyCSEP. Read the quadkeys and use the following function to instantiate the class. ::
 
     @classmethod
@@ -229,7 +233,7 @@ now be used to access a data value stored in another data structure.
 
 
 Testing Regions
-########################
+###############
 
 CSEP has defined testing regions that can be used for earthquake forecasting experiments. The above mentioned functions are used to create quadtree grids for global testing region.
 Once a grid  
diff --git a/docs/conf.py b/docs/conf.py
index 2d3f07d0..e3668953 100644
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -71,7 +71,7 @@
 #
 # This is also used if you do content translation via gettext catalogs.
 # Usually you set "language" from the command line for these cases.
-language = None
+language = 'en'
 
 # List of patterns, relative to source directory, that match files and
 # directories to ignore when looking for source files.
@@ -99,10 +99,10 @@
 # intersphinx configuration
 intersphinx_mapping = {
     "python": ("https://docs.python.org/3/", None),
-    "numpy": (" https://numpy.org/doc/stable/", None),
+    "numpy": ("https://numpy.org/doc/stable/", None),
     "pandas": ("http://pandas.pydata.org/pandas-docs/stable/", None),
-    "scipy": ('https://docs.scipy.org/doc/scipy/', None),
-    "matplotlib": ('https://matplotlib.org/stable', None)
+    "scipy": ("https://docs.scipy.org/doc/scipy/", None),
+    "matplotlib": ("https://matplotlib.org/stable", None)
 }
 
 html_theme_options = {}
@@ -166,7 +166,7 @@
     # Remove the "Download all examples" button from the top level gallery
     "download_all_examples": False,
     # Sort gallery example by file name instead of number of lines (default)
-    "within_subsection_order": FileNameSortKey,
+    "within_subsection_order": "FileNameSortKey",
     # directory where function granular galleries are stored
     # "backreferences_dir": "",
     # Modules for which function level galleries are created.  In
diff --git a/docs/getting_started/theory.rst b/docs/getting_started/theory.rst
index 24252a2c..2e9983a1 100644
--- a/docs/getting_started/theory.rst
+++ b/docs/getting_started/theory.rst
@@ -8,7 +8,7 @@ the tests are applied in practice, and how forecasts are ‘scored’ given
 the test results. Also, we include the code required to run in each test
 and a description of how to interpret the test results.
 
-.. code:: ipython3
+.. code:: python
 
     import csep
     from csep.core import (
@@ -63,7 +63,7 @@ examples use the Helmstetter et al (2007) smoothed seismicity forecast
 (including aftershocks), testing over a 5 year period between 2010 and
 2015.
 
-.. code:: ipython3
+.. code:: python
 
     # Set up experiment parameters
     start_date = time_utils.strptime_to_utc_datetime('2010-01-01 00:00:00.0')
@@ -246,7 +246,7 @@ observed statistic and quantile score, which can be accessed from the
 ``likelihood_test_result`` object. We can pass this directly to the
 plotting function, specifying that the test should be one-sided.
 
-.. code:: ipython3
+.. code:: python
 
     likelihood_test_result = poisson.likelihood_test(
         helmstetter,
@@ -293,7 +293,7 @@ with the forecasted number of events as described above.
 
 Implementation in pyCSEP
 
-.. code:: ipython3
+.. code:: python
 
     cond_likelihood_test_result = poisson.conditional_likelihood_test(
         helmstetter,
@@ -391,7 +391,7 @@ upper and lower bounds for the test are determined from the cumulative
 Poisson distribution. ``number_test_result.quantile`` will return both
 :math:`\delta_1` and :math:`\delta_2` values.
 
-.. code:: ipython3
+.. code:: python
 
     number_test_result = poisson.number_test(helmstetter, catalog)
     ax = plots.plot_poisson_consistency_test(
@@ -457,7 +457,7 @@ and the observed magnitudes are inconsistent with the forecast if
 
 pyCSEP implementation
 
-.. code:: ipython3
+.. code:: python
 
     mag_test_result = poisson.magnitude_test(
         helmstetter,
@@ -528,7 +528,7 @@ pyCSEP implementation
 The S-test is again a one-sided test, so we specify this when plotting
 the result.
 
-.. code:: ipython3
+.. code:: python
 
     spatial_test_result = poisson.spatial_test(
         helmstetter,
@@ -622,7 +622,7 @@ Implementation in pyCSEP
 
 The t-test and W-tests are implemented in pyCSEP as below.
 
-.. code:: ipython3
+.. code:: python
 
     helmstetter_ms = csep.load_gridded_forecast(
         datasets.helmstetter_mainshock_fname,
@@ -701,7 +701,7 @@ forecast and observations to retain only the events in
 forecast simulations for the Landers earthquake and aftershock sequence
 generated using UCERF3-ETAS (Field et al, 2017).
 
-.. code:: ipython3
+.. code:: python
 
     # Define the start and end times of the forecasts
     start_time = time_utils.strptime_to_utc_datetime("1992-06-28 11:57:35.0")
@@ -785,7 +785,7 @@ and
 
 Implementation in pyCSEP
 
-.. code:: ipython3
+.. code:: python
 
     number_test_result = catalog_evaluations.number_test(
         forecast,
@@ -860,7 +860,7 @@ that
   makes sure the magnitudes are properly discretised for the model we
   want to test.
 
-.. code:: ipython3
+.. code:: python
 
     magnitude_test_result = catalog_evaluations.magnitude_test(
         forecast,
@@ -944,7 +944,7 @@ then calculate the quantile score as
 
 Implementation in pyCSEP
 
-.. code:: ipython3
+.. code:: python
 
     pseudolikelihood_test_result = catalog_evaluations.pseudolikelihood_test(
         forecast,
@@ -994,7 +994,7 @@ statistics:
 
 Implementation in pyCSEP
 
-.. code:: ipython3
+.. code:: python
 
     spatial_test_result = catalog_evaluations.spatial_test(
         forecast,
@@ -1017,7 +1017,7 @@ on the figure by default.
 
 
 Resampled Magnitude Test
-~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+~~~~~~~~~~~~~~~~~~~~~~~~
 
 Aim: Perform the resampled magnitude test for catalog-based forecasts (Serafini et al., , in-prep),
 which is a correction to the original M-test implementation that is biased to the total N of
@@ -1043,7 +1043,7 @@ distribution in the observed catalog.
 
 * Implementation in pyCSEP
 
-.. code:: ipython3
+.. code:: python
 
     from csep.core.catalog_evaluations import resampled_magnitude_test
 
@@ -1062,7 +1062,7 @@ horizontal line. The quantile score for this forecast is
 
 
 Modified Multinomial Log-Likelihood (MLL) Magnitude Test
-~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
 * Aim: Implements the modified Multinomial log-likelihood (MLL) magnitude test (Serafini et al., in-prep).
 
@@ -1089,7 +1089,7 @@ Modified Multinomial Log-Likelihood (MLL) Magnitude Test
 * Implementation in pyCSEP
 
 
-  .. code:: ipython3
+  .. code:: python
 
       from csep.core.catalog_evaluations import MLL_magnitude_test
 
diff --git a/docs/reference/api_reference.rst b/docs/reference/api_reference.rst
index e85c5723..6afc7132 100644
--- a/docs/reference/api_reference.rst
+++ b/docs/reference/api_reference.rst
@@ -214,7 +214,6 @@ Region utilities:
     increase_grid_resolution
     masked_region
     generate_aftershock_region
-    california_relm_region
 
 
 Plotting
diff --git a/examples/tutorials/catalog_filtering.py b/examples/tutorials/catalog_filtering.py
index a21937ff..ce85f5c9 100644
--- a/examples/tutorials/catalog_filtering.py
+++ b/examples/tutorials/catalog_filtering.py
@@ -1,5 +1,5 @@
 """
-.. tutorial-catalog-filtering
+.. _tutorial-catalog-filtering:
 
 Catalogs operations
 ===================
diff --git a/examples/tutorials/contingency_roc_figure.pdf b/examples/tutorials/contingency_roc_figure.pdf
index b17964e3..950e3620 100644
Binary files a/examples/tutorials/contingency_roc_figure.pdf and b/examples/tutorials/contingency_roc_figure.pdf differ
diff --git a/examples/tutorials/contingency_roc_figure.png b/examples/tutorials/contingency_roc_figure.png
index 8cdb4d21..a26aa9e7 100644
Binary files a/examples/tutorials/contingency_roc_figure.png and b/examples/tutorials/contingency_roc_figure.png differ
diff --git a/examples/tutorials/example_spatial_test.json b/examples/tutorials/example_spatial_test.json
index 091bd5ff..49db26eb 100644
--- a/examples/tutorials/example_spatial_test.json
+++ b/examples/tutorials/example_spatial_test.json
@@ -4,1010 +4,1010 @@
     "obs_catalog_repr": "",
     "obs_name": null,
     "observed_statistic": -161.78441260001426,
-    "quantile": 0.144,
+    "quantile": 0.161,
     "sim_name": "helmstetter_aftershock",
     "status": "normal",
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     ],
     "type": "EvaluationResult"
 }
\ No newline at end of file
diff --git a/examples/tutorials/gridded_forecast_evaluation.py b/examples/tutorials/gridded_forecast_evaluation.py
index 4e38ad2d..fd40184f 100644
--- a/examples/tutorials/gridded_forecast_evaluation.py
+++ b/examples/tutorials/gridded_forecast_evaluation.py
@@ -130,7 +130,8 @@
 
 ####################################################################################################################################
 # Plot ROC and Molchan curves using the alarm-based approach
-# -----------------------
+# ----------------------------------------------------------
+
 #In this script, we generate ROC diagrams and Molchan diagrams using the alarm-based approach to evaluate the predictive
 #performance of models. This method exploits contingency table analysis to evaluate the predictive capabilities of
 #forecasting models. By analysing the contingency table data, we determine the ROC curve and Molchan trajectory and
diff --git a/examples/tutorials/molchan_figure.pdf b/examples/tutorials/molchan_figure.pdf
index 85862b7a..0c8d08f1 100644
Binary files a/examples/tutorials/molchan_figure.pdf and b/examples/tutorials/molchan_figure.pdf differ
diff --git a/examples/tutorials/molchan_figure.png b/examples/tutorials/molchan_figure.png
index ad7a75ca..256698ec 100644
Binary files a/examples/tutorials/molchan_figure.png and b/examples/tutorials/molchan_figure.png differ
diff --git a/examples/tutorials/quadtree_gridded_forecast_evaluation.py b/examples/tutorials/quadtree_gridded_forecast_evaluation.py
index d9f58688..540608c1 100644
--- a/examples/tutorials/quadtree_gridded_forecast_evaluation.py
+++ b/examples/tutorials/quadtree_gridded_forecast_evaluation.py
@@ -44,7 +44,7 @@
 
 ####################################################################################################################################
 # Load Training Catalog for Multi-resolution grid
-# ----------------------------------------------
+# -----------------------------------------------
 #
 # We define a multi-resolution quadtree using earthquake catalog. We load a training catalog in CSEP and use that catalog to create a multi-resolution grid.
 # Sometimes, we do not the catalog in exact format as requried by pyCSEP. So we can read a catalog using Pandas and convert it
@@ -70,7 +70,7 @@
 
 ####################################################################################################################################
 # Define Multi-resolution Gridded Region
-# ------------------------------------------------
+# --------------------------------------
 # Now use define a threshold for maximum number of earthquake allowed per cell, i.e. Nmax
 # and call :func:`csep.core.regions.QuadtreeGrid_from_catalog` to create a multi-resolution grid.
 # For simplicity we assume only single magnitude bin, i.e. all the earthquakes greater than and equal to 5.95
@@ -83,7 +83,7 @@
 
 ####################################################################################################################################
 # Define Single-resolution Gridded Region
-# ----------------------------------------
+# ---------------------------------------
 #
 # Here as an example we define a single resolution grid at zoom-level L=6. For this purpose 
 # we call :func:`csep.core.regions.QuadtreeGrid2D_from_single_resolution` to create a single resolution grid.
@@ -98,7 +98,8 @@
 
 ####################################################################################################################################
 # Load forecast of multi-resolution grid
-# ---------------------------------
+# --------------------------------------
+
 # An example time-independent forecast had been created for this grid and provided the example forecast data set along with the main repository.
 # We load the time-independent global forecast which has time horizon of 1 year.   
 # The filepath is relative to the root directory of the package. You can specify any file location for your forecasts.
@@ -118,7 +119,8 @@
 
 ####################################################################################################################################
 # Load forecast of single-resolution grid
-# -------------------------------------
+# ---------------------------------------
+
 # We have already created a time-independent global forecast with time horizon of 1 year and provided with the reporsitory.   
 # The filepath is relative to the root directory of the package. You can specify any file location for your forecasts.
 
@@ -162,7 +164,7 @@
 
 ####################################################################################################################################
 # Compute Poisson spatial test and Number test
-# ------------------------------------------------------
+# --------------------------------------------
 #
 # Simply call the :func:`csep.core.poisson_evaluations.spatial_test`  and :func:`csep.core.poisson_evaluations.number_test` functions to evaluate the forecast using the specified
 # evaluation catalog. The spatial test requires simulating from the Poisson forecast to provide uncertainty. The verbose
diff --git a/examples/tutorials/roc_figure.pdf b/examples/tutorials/roc_figure.pdf
index 9034b2bc..9088f05e 100644
Binary files a/examples/tutorials/roc_figure.pdf and b/examples/tutorials/roc_figure.pdf differ
diff --git a/examples/tutorials/roc_figure.png b/examples/tutorials/roc_figure.png
index 0b0b4a8c..2544d2f1 100644
Binary files a/examples/tutorials/roc_figure.png and b/examples/tutorials/roc_figure.png differ