diff --git a/geomagio/TimeseriesUtility.py b/geomagio/TimeseriesUtility.py
index 05db4e2cbd1593b53160cb226dbc5f8a430246ef..0fcf546bb4dc9a602ce75de6f6e640bf2bad33d0 100644
--- a/geomagio/TimeseriesUtility.py
+++ b/geomagio/TimeseriesUtility.py
@@ -250,6 +250,74 @@ def get_channels(stream):
     return [ch for ch in channels]
 
 
+def has_all_channels(stream, channels, starttime, endtime):
+    """Check whether all channels have any data within time range.
+
+    Parameters
+    ----------
+    stream: obspy.core.Stream
+        The input stream we want to make certain has data
+    channels: array_like
+        The list of channels that we want to have concurrent data
+    starttime: UTCDateTime
+        start time of requested output
+    end : UTCDateTime
+        end time of requested output
+
+    Returns
+    -------
+    bool: True if data found across all channels between starttime/endtime
+    """
+    input_gaps = get_merged_gaps(
+            get_stream_gaps(stream=stream, channels=channels))
+    print(starttime, endtime)
+    print(input_gaps)
+    for input_gap in input_gaps:
+        # Check for gaps that include the entire range
+        if (starttime >= input_gap[0] and
+                starttime <= input_gap[1] and
+                endtime < input_gap[2]):
+            return False
+    return True
+
+
+def has_any_channels(stream, channels, starttime, endtime):
+    """Check whether any channel has data within time range.
+
+    Parameters
+    ----------
+    stream: obspy.core.Stream
+        The input stream we want to make certain has data
+    channels: array_like
+        The list of channels that we want to have concurrent data
+    starttime: UTCDateTime
+        start time of requested output
+    end : UTCDateTime
+        end time of requested output
+
+    Returns
+    -------
+    bool: True if any data found between starttime/endtime
+    """
+    # process if any channels have data not covering the time range
+    input_gaps = get_stream_gaps(stream=stream, channels=channels)
+    for channel in channels:
+        if channel not in input_gaps:
+            continue
+        channel_gaps = input_gaps[channel]
+        if len(channel_gaps) == 0:
+            # no gaps in channel
+            return True
+        for gap in channel_gaps:
+            if not (starttime >= gap[0] and
+                    starttime <= gap[1] and
+                    endtime < gap[2]):
+                # gap doesn't span channel
+                return True
+    # didn't find any data
+    return False
+
+
 def mask_stream(stream):
     """Convert stream traces to masked arrays.
 
diff --git a/test/TimeseriesUtility_test.py b/test/TimeseriesUtility_test.py
index 627393c154ef2ae8a670f62f2718918ecffe6ab8..b2eea78ccb39eb35b3277be2ca3cceea066e111b 100644
--- a/test/TimeseriesUtility_test.py
+++ b/test/TimeseriesUtility_test.py
@@ -90,7 +90,6 @@ def test_get_stream_gaps_channels():
 
     test that gaps are only checked in specified channels.
     """
-    stream = Stream
     stream = Stream([
         __create_trace('H', [numpy.nan, 1, 1, numpy.nan, numpy.nan]),
         __create_trace('Z', [0, 0, 0, 1, 1, 1])
@@ -163,6 +162,58 @@ def test_get_merged_gaps():
     assert_equal(gap[1], UTCDateTime('2015-01-01T00:00:07Z'))
 
 
+def test_has_all_channels():
+    """TimeseriesUtility_test.test_has_all_channels():
+    """
+    nan = numpy.nan
+    stream = Stream([
+        __create_trace('H', [nan, 1, 1, nan, nan]),
+        __create_trace('Z', [0, 0, 0, 1, 1]),
+        __create_trace('E', [nan, nan, nan, nan, nan])
+    ])
+    for trace in stream:
+        # set time of first sample
+        trace.stats.starttime = UTCDateTime('2015-01-01T00:00:00Z')
+        # set sample rate to 1 second
+        trace.stats.delta = 1
+        trace.stats.npts = len(trace.data)
+    # check for channels
+    starttime = stream[0].stats.starttime
+    endtime = stream[0].stats.endtime
+    assert_equal(TimeseriesUtility.has_all_channels(
+            stream, ['H', 'Z'], starttime, endtime), True)
+    assert_equal(TimeseriesUtility.has_all_channels(
+            stream, ['H', 'Z', 'E'], starttime, endtime), False)
+    assert_equal(TimeseriesUtility.has_all_channels(
+            stream, ['E'], starttime, endtime), False)
+
+
+def test_has_any_channels():
+    """TimeseriesUtility_test.test_has_any_channels():
+    """
+    nan = numpy.nan
+    stream = Stream([
+        __create_trace('H', [nan, 1, 1, nan, nan]),
+        __create_trace('Z', [0, 0, 0, 1, 1, 1]),
+        __create_trace('E', [nan, nan, nan, nan, nan])
+    ])
+    for trace in stream:
+        # set time of first sample
+        trace.stats.starttime = UTCDateTime('2015-01-01T00:00:00Z')
+        # set sample rate to 1 second
+        trace.stats.delta = 1
+        trace.stats.npts = len(trace.data)
+    # check for channels
+    starttime = stream[0].stats.starttime
+    endtime = stream[0].stats.endtime
+    assert_equal(TimeseriesUtility.has_any_channels(
+            stream, ['H', 'Z'], starttime, endtime), True)
+    assert_equal(TimeseriesUtility.has_any_channels(
+            stream, ['H', 'Z', 'E'], starttime, endtime), True)
+    assert_equal(TimeseriesUtility.has_any_channels(
+            stream, ['E'], starttime, endtime), False)
+
+
 def test_merge_streams():
     """TimeseriesUtility_test.test_merge_streams()