diff --git a/examples/example_tar_nwb.py b/examples/example_tar_nwb.py
new file mode 100644
index 0000000..91000aa
--- /dev/null
+++ b/examples/example_tar_nwb.py
@@ -0,0 +1,147 @@
+from typing import Any
+import pynwb
+import h5py
+import lindi
+
+
+nwb_lindi_fname = 'example.nwb.lindi'
+nwb_fname = 'example.nwb'
+
+
+def test_write_lindi():
+    print('test_write_lindi')
+    nwbfile = _create_sample_nwb_file()
+    with lindi.LindiH5pyFile.from_lindi_file(nwb_lindi_fname, mode='w') as client:
+        with pynwb.NWBHDF5IO(file=client, mode='w') as io:
+            io.write(nwbfile)  # type: ignore
+
+
+def test_read_lindi():
+    print('test_read_lindi')
+    with lindi.LindiH5pyFile.from_lindi_file(nwb_lindi_fname, mode='r') as client:
+        with pynwb.NWBHDF5IO(file=client, mode='r') as io:
+            nwbfile = io.read()
+            print(nwbfile)
+
+
+def test_write_h5():
+    print('test_write_h5')
+    nwbfile = _create_sample_nwb_file()
+    with h5py.File(nwb_fname, 'w') as h5f:
+        with pynwb.NWBHDF5IO(file=h5f, mode='w') as io:
+            io.write(nwbfile)  # type: ignore
+
+
+def test_read_h5():
+    print('test_read_h5')
+    with h5py.File(nwb_fname, 'r') as h5f:
+        with pynwb.NWBHDF5IO(file=h5f, mode='r') as io:
+            nwbfile = io.read()
+            print(nwbfile)
+
+
+def _create_sample_nwb_file():
+    from datetime import datetime
+    from uuid import uuid4
+
+    import numpy as np
+    from dateutil.tz import tzlocal
+
+    from pynwb import NWBFile
+    from pynwb.ecephys import LFP, ElectricalSeries
+
+    nwbfile: Any = NWBFile(
+        session_description="my first synthetic recording",
+        identifier=str(uuid4()),
+        session_start_time=datetime.now(tzlocal()),
+        experimenter=[
+            "Baggins, Bilbo",
+        ],
+        lab="Bag End Laboratory",
+        institution="University of Middle Earth at the Shire",
+        experiment_description="I went on an adventure to reclaim vast treasures.",
+        session_id="LONELYMTN001",
+    )
+
+    device = nwbfile.create_device(
+        name="array", description="the best array", manufacturer="Probe Company 9000"
+    )
+
+    nwbfile.add_electrode_column(name="label", description="label of electrode")
+
+    nshanks = 4
+    nchannels_per_shank = 3
+    electrode_counter = 0
+
+    for ishank in range(nshanks):
+        # create an electrode group for this shank
+        electrode_group = nwbfile.create_electrode_group(
+            name="shank{}".format(ishank),
+            description="electrode group for shank {}".format(ishank),
+            device=device,
+            location="brain area",
+        )
+        # add electrodes to the electrode table
+        for ielec in range(nchannels_per_shank):
+            nwbfile.add_electrode(
+                group=electrode_group,
+                label="shank{}elec{}".format(ishank, ielec),
+                location="brain area",
+            )
+            electrode_counter += 1
+
+    all_table_region = nwbfile.create_electrode_table_region(
+        region=list(range(electrode_counter)),  # reference row indices 0 to N-1
+        description="all electrodes",
+    )
+
+    raw_data = np.random.randn(50, 12)
+    raw_electrical_series = ElectricalSeries(
+        name="ElectricalSeries",
+        data=raw_data,
+        electrodes=all_table_region,
+        starting_time=0.0,  # timestamp of the first sample in seconds relative to the session start time
+        rate=20000.0,  # in Hz
+    )
+
+    nwbfile.add_acquisition(raw_electrical_series)
+
+    lfp_data = np.random.randn(50, 12)
+    lfp_electrical_series = ElectricalSeries(
+        name="ElectricalSeries",
+        data=lfp_data,
+        electrodes=all_table_region,
+        starting_time=0.0,
+        rate=200.0,
+    )
+
+    lfp = LFP(electrical_series=lfp_electrical_series)
+
+    ecephys_module = nwbfile.create_processing_module(
+        name="ecephys", description="processed extracellular electrophysiology data"
+    )
+    ecephys_module.add(lfp)
+
+    nwbfile.add_unit_column(name="quality", description="sorting quality")
+
+    firing_rate = 20
+    n_units = 10
+    res = 1000
+    duration = 20
+    for n_units_per_shank in range(n_units):
+        spike_times = (
+            np.where(np.random.rand((res * duration)) < (firing_rate / res))[0] / res
+        )
+        nwbfile.add_unit(spike_times=spike_times, quality="good")
+
+    return nwbfile
+
+
+if __name__ == '__main__':
+    test_write_lindi()
+    test_read_lindi()
+    print('_________________________________')
+    print('')
+
+    test_write_h5()
+    test_read_h5()