diff --git a/src/eva/data/cubed_sphere_restart.py b/src/eva/data/cubed_sphere_restart.py
index 3d2b3535..d40bff3d 100644
--- a/src/eva/data/cubed_sphere_restart.py
+++ b/src/eva/data/cubed_sphere_restart.py
@@ -28,7 +28,7 @@ def read_fms_tiles(files, variable, logger):
     Args:
         files (list): List of netCDF file paths.
         variable (str): Name of the variable to extract.
-        logger: Logger object for logging messages.
+        logger (Logger): Logger object for logging messages.
 
     Returns:
         np.ndarray: Combined variable array from input files.
@@ -77,7 +77,7 @@ def execute(self, dataset_config, data_collections, timing):
 
         Args:
             dataset_config (dict): Configuration dictionary for the dataset.
-            data_collections: Object for managing data collections.
+            data_collections (DataCollections): Object for managing data collections.
             timing: Timing object for tracking execution time.
         """
 
diff --git a/src/eva/data/gsi_obs_space.py b/src/eva/data/gsi_obs_space.py
index d0326dde..bebb930a 100644
--- a/src/eva/data/gsi_obs_space.py
+++ b/src/eva/data/gsi_obs_space.py
@@ -80,7 +80,7 @@ def subset_channels(ds, channels, logger, add_channels_variable=False):
     Args:
         ds (Dataset): The xarray Dataset to subset.
         channels (list): List of channel numbers to keep.
-        logger: Logger instance for logging messages.
+        logger (Logger): Logger instance for logging messages.
         add_channels_variable (bool, optional): Whether to add 'channelNumber' variable. Default is
         False.
     """
diff --git a/src/eva/data/ioda_obs_space.py b/src/eva/data/ioda_obs_space.py
index c10e268c..cca423a7 100644
--- a/src/eva/data/ioda_obs_space.py
+++ b/src/eva/data/ioda_obs_space.py
@@ -44,8 +44,10 @@ def subset_channels(ds, channels):
           the dataset, the function will perform the subset operation.
 
     Example:
-        # Subset the dataset 'data' to include only channels 1, 5 and 10:
-        subset_ds = subset_channels(data, [1, 5, 10])
+        ::
+
+                # Subset the dataset 'data' to include only channels 1, 5 and 10:
+                subset_ds = subset_channels(data, [1, 5, 10])
     """
 
     if 'Channel' in list(ds.dims):
@@ -97,14 +99,16 @@ class IodaObsSpace(EvaDatasetBase):
         - (Additional notes, if applicable)
 
     Example:
-        # Instantiate the class
-        ioda_instance = IodaObsSpace()
+        ::
+
+                # Instantiate the class
+                ioda_instance = IodaObsSpace()
 
-        # Execute data collection processing using IODA observation space
-        ioda_instance.execute(dataset_config, data_collections, timing)
+                # Execute data collection processing using IODA observation space
+                ioda_instance.execute(dataset_config, data_collections, timing)
 
-        # Generate a default configuration dictionary for IODA observation space
-        default_config = ioda_instance.generate_default_config(filenames, collection_name)
+                # Generate a default configuration dictionary for IODA observation space
+                default_config = ioda_instance.generate_default_config(filenames, collection_name)
     """
 
     def execute(self, dataset_config, data_collections, timing):
@@ -127,11 +131,13 @@ def execute(self, dataset_config, data_collections, timing):
             - This method operates on instance-specific attributes.
 
         Example:
-            # Instantiate the class
-            ioda_instance = IodaObsSpace()
+            ::
 
-            # Execute data collection processing using IODA observation space
-            ioda_instance.execute(dataset_config, data_collections, timing)
+                    # Instantiate the class
+                    ioda_instance = IodaObsSpace()
+
+                    # Execute data collection processing using IODA observation space
+                    ioda_instance.execute(dataset_config, data_collections, timing)
         """
 
         # Get channels for radiances
@@ -293,11 +299,14 @@ def generate_default_config(self, filenames, collection_name):
             - This method operates on instance-specific attributes.
 
         Example:
-            # Instantiate the class
-            ioda_instance = IodaObsSpace()
+            ::
+
+                    # Instantiate the class
+                    ioda_instance = IodaObsSpace()
 
-            # Generate a default configuration dictionary for IODA observation space
-            default_config = ioda_instance.generate_default_config(filenames, collection_name)
+                    # Generate a default configuration dictionary for IODA observation space
+                    default_config = ioda_instance.generate_default_config(filenames,
+                                                                           collection_name)
         """
 
         eva_dict = {'filenames': filenames,
diff --git a/src/eva/data/jedi_log.py b/src/eva/data/jedi_log.py
index d32bf75c..4f9d3dbc 100644
--- a/src/eva/data/jedi_log.py
+++ b/src/eva/data/jedi_log.py
@@ -63,8 +63,8 @@ def execute(self, dataset_config, data_collections, timing):
 
         Args:
             dataset_config (dict): Configuration dictionary for the dataset.
-            data_collections: Object for managing data collections.
-            timing: Timing object for tracking execution time.
+            data_collections (DataCollections): Object for managing data collections.
+            timing (Timing): Timing object for tracking execution time.
         """
 
         # Get name of the log file to parse
diff --git a/src/eva/data/lat_lon.py b/src/eva/data/lat_lon.py
index ed78d3dd..feb295a0 100644
--- a/src/eva/data/lat_lon.py
+++ b/src/eva/data/lat_lon.py
@@ -19,8 +19,8 @@ def execute(self, dataset_config, data_collections, timing):
 
         Args:
             dataset_config (dict): Configuration dictionary for the dataset.
-            data_collections: Object for managing data collections.
-            timing: Timing object for tracking execution time.
+            data_collections (DataCollections): Object for managing data collections.
+            timing (Timing): Timing object for tracking execution time.
         """
 
         # Filename to be read into this collection
diff --git a/src/eva/data/mon_data_space.py b/src/eva/data/mon_data_space.py
index 2588161a..715d16a2 100644
--- a/src/eva/data/mon_data_space.py
+++ b/src/eva/data/mon_data_space.py
@@ -37,8 +37,8 @@ def execute(self, dataset_config, data_collections, timing):
 
         Args:
             dataset_config (dict): Configuration dictionary for the dataset.
-            data_collections: Object for managing data collections.
-            timing: Timing object for tracking execution time.
+            data_collections (DataCollections): Object for managing data collections.
+            timing (Timing): Timing object for tracking execution time.
         """
 
         # Set the collection name
diff --git a/src/eva/data/soca_restart.py b/src/eva/data/soca_restart.py
index 0adeff8b..17d73205 100644
--- a/src/eva/data/soca_restart.py
+++ b/src/eva/data/soca_restart.py
@@ -144,7 +144,7 @@ def read_soca(file, variable, logger):
     Args:
         file (str): Path to the SOCA data file.
         variable (str): Name of the variable to read.
-        logger: Logger for logging messages.
+        logger (Logger): Logger for logging messages.
 
     Returns:
         tuple: A tuple containing dimensions (list) and data (numpy.ndarray) for the specified
diff --git a/src/eva/plotting/emcpy/plot_tools/figure_driver.py b/src/eva/plotting/emcpy/plot_tools/figure_driver.py
index 5168c1d6..46e923b1 100644
--- a/src/eva/plotting/emcpy/plot_tools/figure_driver.py
+++ b/src/eva/plotting/emcpy/plot_tools/figure_driver.py
@@ -30,7 +30,7 @@ def figure_driver(config, data_collections, timing, logger):
         config (dict): A dictionary containing the configuration for generating figures.
         data_collections (DataCollections): An instance of the DataCollections class containing
         input data.
-        timing: A timing instance to measure the execution time.
+        timing (Timing): A timing instance to measure the execution time.
         logger (Logger): An instance of the logger for logging messages.
 
     This function generates and saves multiple figures based on the provided configuration. It
diff --git a/src/eva/transforms/accept_where.py b/src/eva/transforms/accept_where.py
index a5d8f1e6..d6b68eb9 100644
--- a/src/eva/transforms/accept_where.py
+++ b/src/eva/transforms/accept_where.py
@@ -26,7 +26,7 @@ def accept_where(config, data_collections):
     Args:
         config (dict): A configuration dictionary containing transformation parameters.
         data_collections (DataCollections): An instance of the DataCollections class containing
-                                            input data.
+        input data.
 
     Returns:
         None
@@ -40,15 +40,17 @@ def accept_where(config, data_collections):
     The resulting filtered variables are added to the data collections.
 
     Example:
-        config = {
-            'collections': [...],
-            'groups': [...],
-            'variables': [...],
-            'new name': 'filtered_variable',
-            'starting field': 'original_variable',
-            'where': ['${collection}::${group}::${variable} >= 0.0']
-        }
-        accept_where(config, data_collections)
+        ::
+
+                config = {
+                    'collections': [...],
+                    'groups': [...],
+                    'variables': [...],
+                    'new name': 'filtered_variable',
+                    'starting field': 'original_variable',
+                    'where': ['${collection}::${group}::${variable} >= 0.0']
+                }
+                accept_where(config, data_collections)
     """
 
     # Create a logger
@@ -126,13 +128,14 @@ def generate_accept_where_config(new_name, starting_field, where, collection, va
     'for' dictionary to apply the transformation to the specified variables.
 
     Example:
-        new_name = 'filtered_variable'
-        starting_field = 'original_variable'
-        where = ['group1 >= 0', 'group2 < 10']
-        collection = 'my_collection'
-        var_list = ['variable1', 'variable2']
-        config = generate_accept_where_config(new_name, starting_field, where, collection,
-                                              var_list)
+        ::
+                new_name = 'filtered_variable'
+                starting_field = 'original_variable'
+                where = ['group1 >= 0', 'group2 < 10']
+                collection = 'my_collection'
+                var_list = ['variable1', 'variable2']
+                config = generate_accept_where_config(new_name, starting_field, where,
+                                                      collection, var_list)
     """
 
     # Update new_name
diff --git a/src/eva/transforms/arithmetic.py b/src/eva/transforms/arithmetic.py
index 72dae6e3..48e7a41d 100644
--- a/src/eva/transforms/arithmetic.py
+++ b/src/eva/transforms/arithmetic.py
@@ -40,7 +40,9 @@ def isfloat(a_string):
     floating-point number.
 
     Example:
-        result = isfloat("3.14")
+        ::
+
+                result = isfloat("3.14")
     """
 
     try:
@@ -60,7 +62,7 @@ def arithmetic(config, data_collections):
     Args:
         config (dict): A configuration dictionary containing transformation parameters.
         data_collections (DataCollections): An instance of the DataCollections class containing
-                                            input data.
+        input data.
 
     Returns:
         None
@@ -71,14 +73,17 @@ def arithmetic(config, data_collections):
     resulting variables are added to the data collections.
 
     Example:
-        config = {
-            'collections': [...],
-            'groups': [...],
-            'variables': [...],
-            'new name': 'result_variable',
-            'equals': '(${collection}::${group}::${var1} + ${collection}::${group}::${var2}) / 2'
-        }
-        arithmetic(config, data_collections)
+        ::
+
+                config = {
+                    'collections': [...],
+                    'groups': [...],
+                    'variables': [...],
+                    'new name': 'result_variable',
+                    'equals': '(${collection}::${group}::${var1} + ${collection}::${group}::${var2})
+                               / 2'
+                }
+                arithmetic(config, data_collections)
     """
 
     # Create a logger
@@ -154,11 +159,13 @@ def generate_arithmetic_config(new_name, expression, collection, var_list):
     the transformation to the specified variables.
 
     Example:
-        new_name = 'result_variable'
-        expression = '(${group1} + ${group2}) / 2'
-        collection = 'my_collection'
-        var_list = ['variable1', 'variable2']
-        config = generate_arithmetic_config(new_name, expression, collection, var_list)
+        ::
+
+                new_name = 'result_variable'
+                expression = '(${group1} + ${group2}) / 2'
+                collection = 'my_collection'
+                var_list = ['variable1', 'variable2']
+                config = generate_arithmetic_config(new_name, expression, collection, var_list)
     """
 
     # Update new_name
diff --git a/src/eva/transforms/channel_stats.py b/src/eva/transforms/channel_stats.py
index 231d997d..bb177425 100644
--- a/src/eva/transforms/channel_stats.py
+++ b/src/eva/transforms/channel_stats.py
@@ -43,15 +43,17 @@ def channel_stats(config, data_collections):
     configuration. The resulting variables are added to the data collections.
 
     Example:
-        config = {
-            'collections': [...],
-            'groups': [...],
-            'variables': [...],
-            'variable_name': 'data_variable',
-            'statistic list': ['Mean', 'Std', 'Count'],
-            'statistic_dimension': 'Location'
-        }
-        channel_stats(config, data_collections)
+        ::
+
+                config = {
+                    'collections': [...],
+                    'groups': [...],
+                    'variables': [...],
+                    'variable_name': 'data_variable',
+                    'statistic list': ['Mean', 'Std', 'Count'],
+                    'statistic_dimension': 'Location'
+                }
+                channel_stats(config, data_collections)
     """
 
     # Create a logger
diff --git a/src/eva/transforms/select_time.py b/src/eva/transforms/select_time.py
index 0a2b14de..15522475 100644
--- a/src/eva/transforms/select_time.py
+++ b/src/eva/transforms/select_time.py
@@ -32,7 +32,7 @@ def select_time(config, data_collections):
     Args:
         config (dict): A configuration dictionary containing transformation parameters.
         data_collections (DataCollections): An instance of the DataCollections class containing
-                                            input data.
+        input data.
 
     Returns:
         None
@@ -44,18 +44,20 @@ def select_time(config, data_collections):
     for a single time point. The resulting processed variables are added to the data collections.
 
     Example:
-        config = {
-            'collections': [...],
-            'groups': [...],
-            'variables': [...],
-            'new name': 'time_selected_variable',
-            'starting field': 'original_variable',
-            'cycle': 'YYYYMMDDHH',
-            # OR
-            'start cycle': 'YYYYMMDDHH',
-            'end cycle': 'YYYYMMDDHH'
-        }
-        select_time(config, data_collections)
+        ::
+
+                config = {
+                    'collections': [...],
+                    'groups': [...],
+                    'variables': [...],
+                    'new name': 'time_selected_variable',
+                    'starting field': 'original_variable',
+                    'cycle': 'YYYYMMDDHH',
+                    # OR
+                    'start cycle': 'YYYYMMDDHH',
+                    'end cycle': 'YYYYMMDDHH'
+                }
+                select_time(config, data_collections)
     """
 
     # Create a logger
diff --git a/src/eva/transforms/transform_driver.py b/src/eva/transforms/transform_driver.py
index 4a17f1d4..85e89db9 100644
--- a/src/eva/transforms/transform_driver.py
+++ b/src/eva/transforms/transform_driver.py
@@ -24,7 +24,7 @@ def transform_driver(config, data_collections, timing, logger):
     Args:
         config (dict): A configuration dictionary containing transformation parameters.
         data_collections (DataCollections): An instance of the DataCollections class containing
-                                            input data.
+        input data.
         timing (Timing): An instance of the Timing class for tracking execution times.
         logger (Logger): An instance of the logger for logging messages.
 
diff --git a/src/eva/transforms/transform_utils.py b/src/eva/transforms/transform_utils.py
index 94b08b01..28c128a4 100644
--- a/src/eva/transforms/transform_utils.py
+++ b/src/eva/transforms/transform_utils.py
@@ -27,19 +27,21 @@ def parse_for_dict(config, logger):
 
     Returns:
         list: A list containing collection, group, and variable values extracted from the 'for'
-              dictionary.
+        dictionary.
 
     This function parses the 'for' dictionary provided in the configuration and extracts the
     collection, group, and variable values specified. It returns a list containing these extracted
     components.
 
     Example:
-        for_dict = {
-            'collection': 'my_collection',
-            'group': 'my_group',
-            'variable': 'my_variable'
-        }
-        cgv = parse_for_dict(config, logger)
+        ::
+
+                for_dict = {
+                    'collection': 'my_collection',
+                    'group': 'my_group',
+                    'variable': 'my_variable'
+                }
+                cgv = parse_for_dict(config, logger)
     """
 
     # Get the for dict (might not be provided so default to empty dict)
@@ -85,8 +87,10 @@ def replace_cgv(logger, collection, group, variable, *argv):
     placeholders.
 
     Example:
-        replaced_templates = replace_cgv(logger, 'my_collection', 'my_group', 'my_variable',
-                                         template1, template2)
+        ::
+
+                replaced_templates = replace_cgv(logger, 'my_collection', 'my_group',
+                                                 'my_variable', template1, template2)
     """
 
     # Create dictionary with templates
@@ -139,7 +143,9 @@ def split_collectiongroupvariable(logger, collectiongroupvariable):
     group, variable). It returns a list containing these components.
 
     Example:
-        cgv = split_collectiongroupvariable(logger, 'my_collection::my_group::my_variable')
+        ::
+
+                cgv = split_collectiongroupvariable(logger, 'my_collection::my_group::my_variable')
     """
 
     # Split by double colon
diff --git a/src/eva/utilities/config.py b/src/eva/utilities/config.py
index 8c8e068b..39d10583 100644
--- a/src/eva/utilities/config.py
+++ b/src/eva/utilities/config.py
@@ -30,7 +30,7 @@ def __init__(self, dict_or_yaml, logger):
         Args:
             dict_or_yaml (dict or str): Either a dictionary containing configuration parameters
                                         or the path to a YAML file containing the configuration.
-            logger: An instance of the logger to handle log messages.
+            logger (Logger): An instance of the logger to handle log messages.
 
         Returns:
             None
@@ -88,7 +88,7 @@ def get(dict, logger, key, default=None, abort_on_failure=True):
 
     Args:
         dict (dict): The dictionary from which the value needs to be retrieved.
-        logger: An instance of the logger to handle log messages.
+        logger (Logger): An instance of the logger to handle log messages.
         key (str): The key for which the value needs to be retrieved from the dictionary.
         default: The default value to return if the key is not found in the dictionary.
         abort_on_failure (bool): If True, aborts the program if the key is not found.
diff --git a/src/eva/utilities/ioda_definitions.py b/src/eva/utilities/ioda_definitions.py
index e2b1931c..3b1fbf0e 100644
--- a/src/eva/utilities/ioda_definitions.py
+++ b/src/eva/utilities/ioda_definitions.py
@@ -98,7 +98,7 @@ def ioda_platform_to_full_name(ioda_platform, logger):
 
     Args:
         ioda_platform (str): The IODA platform code.
-        logger: An instance of the logger to handle log messages.
+        logger (Logger): An instance of the logger to handle log messages.
 
     Returns:
         str: The corresponding full name of the IODA platform code.
@@ -126,7 +126,7 @@ def ioda_group_dict(ioda_group, logger):
 
     Args:
         ioda_group (str): The IODA group name.
-        logger: An instance of the logger to handle log messages.
+        logger (Logger): An instance of the logger to handle log messages.
 
     Returns:
         str: The description of the IODA group.
diff --git a/src/eva/utilities/stats.py b/src/eva/utilities/stats.py
index b0e63d41..61159974 100644
--- a/src/eva/utilities/stats.py
+++ b/src/eva/utilities/stats.py
@@ -24,9 +24,9 @@ def get_field_data(logger, field, data_collections):
     Retrieve field data based on the field configuration.
 
     Args:
-        logger: The logger object for logging messages.
+        logger (Logger): The logger object for logging messages.
         field (dict): The field configuration containing the field name and optional channel.
-        data_collections: The data collections object to retrieve data from.
+        data_collections (DataCollections): The data collections object to retrieve data from.
 
     Returns:
         ndarray: The flattened and masked field data.
@@ -69,9 +69,9 @@ def stats_helper(logger, plot_obj, data_collections, config):
     Add specified statistics to a plot.
 
     Args:
-        logger: The logging object.
+        logger (Logger): The logging object.
         plot_obj: The declarative plotting object.
-        data_collections: The eva data collections object.
+        data_collections (DataCollections): The eva data collections object.
         config (dict): The input configuration dictionary.
 
     Returns:
diff --git a/src/eva/utilities/utils.py b/src/eva/utilities/utils.py
index 7ba57a4a..99b68a85 100644
--- a/src/eva/utilities/utils.py
+++ b/src/eva/utilities/utils.py
@@ -437,7 +437,7 @@ def slice_var_from_str(config, datavar, logger):
     Parameters:
         config (dict): The configuration dictionary containing slicing information.
         datavar: The input variable to be sliced.
-        logger: The logger object for logging messages.
+        logger (Logger): The logger object for logging messages.
 
     Returns:
         The sliced variable 'datavar'.