diff --git a/xarray/core/dataset.py b/xarray/core/dataset.py
index 36e7f24e15d..811357c265d 100644
--- a/xarray/core/dataset.py
+++ b/xarray/core/dataset.py
@@ -6742,36 +6742,26 @@ def pad(
         mode : str, default: "constant"
             One of the following string values (taken from numpy docs).
 
-            'constant' (default)
-                Pads with a constant value.
-            'edge'
-                Pads with the edge values of array.
-            'linear_ramp'
-                Pads with the linear ramp between end_value and the
-                array edge value.
-            'maximum'
-                Pads with the maximum value of all or part of the
-                vector along each axis.
-            'mean'
-                Pads with the mean value of all or part of the
-                vector along each axis.
-            'median'
-                Pads with the median value of all or part of the
-                vector along each axis.
-            'minimum'
-                Pads with the minimum value of all or part of the
-                vector along each axis.
-            'reflect'
-                Pads with the reflection of the vector mirrored on
-                the first and last values of the vector along each
-                axis.
-            'symmetric'
-                Pads with the reflection of the vector mirrored
-                along the edge of the array.
-            'wrap'
-                Pads with the wrap of the vector along the axis.
-                The first values are used to pad the end and the
-                end values are used to pad the beginning.
+            - constant: Pads with a constant value.
+            - edge: Pads with the edge values of array.
+            - linear_ramp: Pads with the linear ramp between end_value and the
+              array edge value.
+            - maximum: Pads with the maximum value of all or part of the
+              vector along each axis.
+            - mean: Pads with the mean value of all or part of the
+              vector along each axis.
+            - median: Pads with the median value of all or part of the
+              vector along each axis.
+            - minimum: Pads with the minimum value of all or part of the
+              vector along each axis.
+            - reflect: Pads with the reflection of the vector mirrored on
+              the first and last values of the vector along each axis.
+            - symmetric: Pads with the reflection of the vector mirrored
+              along the edge of the array.
+            - wrap: Pads with the wrap of the vector along the axis.
+              The first values are used to pad the end and the
+              end values are used to pad the beginning.
+
         stat_length : int, tuple or mapping of hashable to tuple, default: None
             Used in 'maximum', 'mean', 'median', and 'minimum'.  Number of
             values at edge of each axis used to calculate the statistic value.
@@ -7210,15 +7200,19 @@ def query(
             parser to retain strict Python semantics.
         engine : {"python", "numexpr", None}, default: None
             The engine used to evaluate the expression. Supported engines are:
+
             - None: tries to use numexpr, falls back to python
             - "numexpr": evaluates expressions using numexpr
             - "python": performs operations as if you had eval’d in top level python
+
         missing_dims : {"raise", "warn", "ignore"}, default: "raise"
             What to do if dimensions that should be selected from are not present in the
             Dataset:
+
             - "raise": raise an exception
             - "warning": raise a warning, and ignore the missing dimensions
             - "ignore": ignore the missing dimensions
+
         **queries_kwargs : {dim: query, ...}, optional
             The keyword arguments form of ``queries``.
             One of queries or queries_kwargs must be provided.