--- a/examples/changing_resolution_via_reproject.py	2026-06-11 00:15:00.000000000 +0800
+++ b/examples/changing_resolution_via_reproject.py	2026-06-16 12:30:50.439865473 +0800
@@ -19,7 +19,8 @@
 from astropy.io import fits
 from astropy.wcs import WCS
 
-from sunpy.data.sample import AIA_171_IMAGE
+# use local fits for no network while doc building
+# from sunpy.data.sample import AIA_171_IMAGE
 from sunpy.visualization.colormaps import cm
 
 from ndcube import NDCube
@@ -28,8 +29,11 @@
 # We start by creating an NDCube from sample solar data provided by SunPy.
 # Here we use an AIA 171 image, but the same approach can be applied to other datasets, including those with non-celestial axes.
 
-image_data = fits.getdata(AIA_171_IMAGE, ext=1)
-image_header = fits.getheader(AIA_171_IMAGE, ext=1)
+# use local fits for no network while doc building
+# image_data = fits.getdata(AIA_171_IMAGE, ext=1)
+image_data = fits.getdata('AIA20110607_063302_0171_lowres.fits', ext=1)
+# image_header = fits.getheader(AIA_171_IMAGE, ext=1)
+image_header = fits.getheader('AIA20110607_063302_0171_lowres.fits', ext=1)
 cube = NDCube(image_data, WCS(image_header))
 
 ###########################################################################
--- a/examples/creating_even_spaced_wavelength_visualisation.py	2026-06-11 00:15:00.000000000 +0800
+++ b/examples/creating_even_spaced_wavelength_visualisation.py	2026-06-16 11:41:21.927711846 +0800
@@ -23,14 +23,23 @@
 # We will use the sample data that ``sunpy`` provides to construct a sequence of AIA
 # image files for different wavelengths using `sunpy.map.Map`.
 
-aia_files = [sunpy.data.sample.AIA_094_IMAGE,
-             sunpy.data.sample.AIA_131_IMAGE,
-             sunpy.data.sample.AIA_171_IMAGE,
-             sunpy.data.sample.AIA_193_IMAGE,
-             sunpy.data.sample.AIA_211_IMAGE,
-             sunpy.data.sample.AIA_304_IMAGE,
-             sunpy.data.sample.AIA_335_IMAGE,
-             sunpy.data.sample.AIA_1600_IMAGE]
+# Use local fits if no network while doc building
+#aia_files = [sunpy.data.sample.AIA_094_IMAGE,
+#             sunpy.data.sample.AIA_131_IMAGE,
+#             sunpy.data.sample.AIA_171_IMAGE,
+#             sunpy.data.sample.AIA_193_IMAGE,
+#             sunpy.data.sample.AIA_211_IMAGE,
+#             sunpy.data.sample.AIA_304_IMAGE,
+#             sunpy.data.sample.AIA_335_IMAGE,
+#             sunpy.data.sample.AIA_1600_IMAGE]
+aia_files = ['AIA20110607_063305_0094_lowres.fits',
+             'AIA20110607_063301_0131_lowres.fits',
+             'AIA20110607_063302_0171_lowres.fits',
+             'AIA20110607_063307_0193_lowres.fits',
+             'AIA20110607_063302_0211_lowres.fits',
+             'AIA20110607_063334_0304_lowres.fits',
+             'AIA20110607_063303_0335_lowres.fits',
+             'AIA20110607_063305_1600_lowres.fits']
 # `sequence=True` causes a sequence of maps to be returned, one for each image file.
 sequence_of_maps = sunpy.map.Map(aia_files, sequence=True)
 # Sort the maps in the sequence in order of wavelength.
--- a/examples/creating_ndcube_from_fitsfile.py	2026-06-11 00:15:00.000000000 +0800
+++ b/examples/creating_ndcube_from_fitsfile.py	2026-06-16 11:41:21.927809163 +0800
@@ -20,7 +20,9 @@
 # `~ndcube.NDCube` from data stored in a FITS file.
 # Here we are using an example file from ``astropy``.
 
-image_file = get_pkg_data_filename('tutorials/FITS-images/HorseHead.fits')
+# use local fits if no network while doc building
+try: image_file = get_pkg_data_filename('tutorials/FITS-images/HorseHead.fits')
+except Exception: image_file = 'HorseHead.fits'
 
 ###########################################################################
 # Lets extract the image data and the header information from the FITS file.