diff --git a/examples/gallery/lines/roads.py b/examples/gallery/lines/roads.py
deleted file mode 100644
index 7c1e75ef943..00000000000
--- a/examples/gallery/lines/roads.py
+++ /dev/null
@@ -1,46 +0,0 @@
-# ruff: noqa: RUF003
-"""
-Roads
-=====
-
-The :meth:`pygmt.Figure.plot` method allows us to plot geographical data such
-as lines which are stored in a :class:`geopandas.GeoDataFrame` object. Use
-:func:`geopandas.read_file` to load data from any supported OGR format such as
-a shapefile (.shp), GeoJSON (.geojson), geopackage (.gpkg), etc. Then, pass the
-:class:`geopandas.GeoDataFrame` as an argument to the ``data`` parameter of
-:meth:`pygmt.Figure.plot`, and style the geometry using the ``pen`` parameter.
-"""
-
-# %%
-import geopandas as gpd
-import pygmt
-
-# Read shapefile data using geopandas
-gdf = gpd.read_file(
-    "http://www2.census.gov/geo/tiger/TIGER2015/PRISECROADS/tl_2015_15_prisecroads.zip"
-)
-# The dataset contains different road types listed in the RTTYP column,
-# here we select the following ones to plot:
-roads_common = gdf[gdf.RTTYP == "M"]  # Common name roads
-roads_state = gdf[gdf.RTTYP == "S"]  # State recognized roads
-roads_interstate = gdf[gdf.RTTYP == "I"]  # Interstate roads
-
-fig = pygmt.Figure()
-
-# Define target region around Oʻahu (Hawaiʻi)
-region = [-158.3, -157.6, 21.2, 21.75]  # xmin, xmax, ymin, ymax
-
-title = "Main roads of O`ahu (Hawai`i)"  # Approximating the Okina letter ʻ with `
-fig.basemap(region=region, projection="M12c", frame=["af", f"WSne+t{title}"])
-fig.coast(land="gray", water="dodgerblue4", shorelines="1p,black")
-
-# Plot the individual road types with different pen settings and assign labels
-# which are displayed in the legend
-fig.plot(data=roads_common, pen="5p,dodgerblue", label="CommonName")
-fig.plot(data=roads_state, pen="2p,gold", label="StateRecognized")
-fig.plot(data=roads_interstate, pen="2p,red", label="Interstate")
-
-# Add legend
-fig.legend()
-
-fig.show()