diff --git a/docs/sphinx/source/api.rst b/docs/sphinx/source/api.rst
index 1ea0844d71..8e9086432b 100644
--- a/docs/sphinx/source/api.rst
+++ b/docs/sphinx/source/api.rst
@@ -307,6 +307,8 @@ relevant to solar energy modeling.
 
    iotools.read_tmy2
    iotools.read_tmy3
+   iotools.read_srml
+   iotools.read_srml_month_from_solardat
 
 A :py:class:`~pvlib.location.Location` object may be created from metadata
 in some files.
diff --git a/docs/sphinx/source/whatsnew/v0.6.1.rst b/docs/sphinx/source/whatsnew/v0.6.1.rst
index f8e76e242d..946490e571 100644
--- a/docs/sphinx/source/whatsnew/v0.6.1.rst
+++ b/docs/sphinx/source/whatsnew/v0.6.1.rst
@@ -20,7 +20,8 @@ API Changes
 
 Enhancements
 ~~~~~~~~~~~~
-
+* Created :py:func:`pvlib.iotools.read_srml` and :py:func:`pvlib.iotools.read_srml_month_from_solardat`
+  to read University of Oregon Solar Radiation Monitoring Laboratory data. (:issue:`589`)
 
 Bug fixes
 ~~~~~~~~~
@@ -33,4 +34,5 @@ Testing
 
 Contributors
 ~~~~~~~~~~~~
-* Will Holmgren (:ghuser:`wholmgren`)
\ No newline at end of file
+* Will Holmgren (:ghuser:`wholmgren`)
+* Leland Boeman (:ghuser:`lboeman`)
diff --git a/pvlib/data/SRML-day-EUPO1801.txt b/pvlib/data/SRML-day-EUPO1801.txt
new file mode 100644
index 0000000000..7b8b8aeffd
--- /dev/null
+++ b/pvlib/data/SRML-day-EUPO1801.txt
@@ -0,0 +1,1441 @@
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diff --git a/pvlib/iotools/__init__.py b/pvlib/iotools/__init__.py
index e68be0fe1b..8a6b801b85 100644
--- a/pvlib/iotools/__init__.py
+++ b/pvlib/iotools/__init__.py
@@ -1,2 +1,4 @@
 from pvlib.iotools.tmy import read_tmy2  # noqa: F401
 from pvlib.iotools.tmy import read_tmy3  # noqa: F401
+from pvlib.iotools.srml import read_srml  # noqa: F401
+from pvlib.iotools.srml import read_srml_month_from_solardat  # noqa: F401
diff --git a/pvlib/iotools/srml.py b/pvlib/iotools/srml.py
new file mode 100644
index 0000000000..864455effb
--- /dev/null
+++ b/pvlib/iotools/srml.py
@@ -0,0 +1,184 @@
+"""Collection of functions to operate on data from University of Oregon Solar
+Radiation Monitoring Laboratory (SRML) data.
+"""
+import numpy as np
+import pandas as pd
+
+
+# VARIABLE_MAP is a dictionary mapping SRML data element numbers to their
+# pvlib names. For most variables, only the first three digits are used,
+# the fourth indicating the instrument. Spectral data (7xxx) uses all
+# four digits to indicate the variable. See a full list of data element
+# numbers `here. <http://solardat.uoregon.edu/DataElementNumbers.html>`_
+
+VARIABLE_MAP = {
+    '100': 'ghi',
+    '201': 'dni',
+    '300': 'dhi',
+    '920': 'wind_dir',
+    '921': 'wind_speed',
+    '930': 'temp_air',
+    '931': 'temp_dew',
+    '933': 'relative_humidity',
+    '937': 'temp_cell',
+}
+
+
+def read_srml(filename):
+    """
+    Read University of Oregon SRML[1] 1min .tsv file into pandas dataframe.
+
+    Parameters
+    ----------
+    filename: str
+        filepath or url to read for the tsv file.
+
+    Returns
+    -------
+    data: Dataframe
+        A dataframe with datetime index and all of the variables listed
+        in the `VARIABLE_MAP` dict inside of the map_columns function,
+        along with their associated quality control flags.
+
+    Notes
+    -----
+    The time index is shifted back one minute to account for 2400 hours,
+    and to avoid time parsing errors on leap years. The returned data
+    values should be understood to occur during the interval from the
+    time of the row until the time of the next row. This is consistent
+    with pandas' default labeling behavior.
+
+    See SRML's `Archival Files`_ page for more information.
+
+    .. _Archival Files: http://solardat.uoregon.edu/ArchivalFiles.html
+
+    References
+    ----------
+    [1] University of Oregon Solar Radiation Monitoring Laboratory
+        `http://solardat.uoregon.edu/ <http://solardat.uoregon.edu/>`_
+    """
+    tsv_data = pd.read_csv(filename, delimiter='\t')
+    data = format_index(tsv_data)
+    # Drop day of year and time columns
+    data = data[data.columns[2:]]
+
+    data = data.rename(columns=map_columns)
+
+    # Quality flag columns are all labeled 0 in the original data. They
+    # appear immediately after their associated variable and are suffixed
+    # with an integer value when read from the file. So we map flags to
+    # the preceding variable with a '_flag' suffix.
+    #
+    # Example:
+    #   Columns ['ghi_0', '0.1', 'temp_air_2', '0.2']
+    #
+    #   Yields a flag_label_map of:
+    #       { '0.1': 'ghi_0_flag',
+    #         '0.2': 'temp_air_2'}
+    #
+    columns = data.columns
+    flag_label_map = {flag: columns[columns.get_loc(flag) - 1] + '_flag'
+                      for flag in columns[1::2]}
+    data = data.rename(columns=flag_label_map)
+
+    # Mask data marked with quality flag 99 (bad or missing data)
+    for col in columns[::2]:
+        missing = data[col + '_flag'] == 99
+        data[col] = data[col].where(~(missing), np.NaN)
+    return data
+
+
+def map_columns(col):
+    """Map data element numbers to pvlib names.
+
+    Parameters
+    ----------
+    col: str
+        Column label to be mapped.
+
+    Returns
+    -------
+    str
+        The pvlib label if it was found in the mapping,
+        else the original label.
+    """
+    if col.startswith('7'):
+        # spectral data
+        try:
+            return VARIABLE_MAP[col]
+        except KeyError:
+            return col
+    try:
+        variable_name = VARIABLE_MAP[col[:3]]
+        variable_number = col[3:]
+        return variable_name + '_' + variable_number
+    except KeyError:
+        return col
+
+
+def format_index(df):
+    """Create a datetime index from day of year, and time columns.
+
+    Parameters
+    ----------
+    df: pd.Dataframe
+        The srml data to reindex.
+
+    Returns
+    -------
+    df: pd.Dataframe
+        The Dataframe with a DatetimeIndex localized to 'Etc/GMT+8'.
+    """
+    # Name of the second column indicates the year of the file, but
+    # the column contains times.
+    year = int(df.columns[1])
+    df_doy = df[df.columns[0]]
+    # Times are expressed as integers from 1-2400, we convert to 0-2359 by
+    # subracting one and then correcting the minutes at each former hour.
+    df_time = df[df.columns[1]] - 1
+    fifty_nines = df_time % 100 == 99
+    times = df_time.where(~fifty_nines, df_time - 40)
+
+    times = times.apply(lambda x: '{:04.0f}'.format(x))
+    doy = df_doy.apply(lambda x: '{:03.0f}'.format(x))
+    dts = pd.to_datetime(str(year) + '-' + doy + '-' + times,
+                         format='%Y-%j-%H%M')
+    df.index = dts
+    df = df.tz_localize('Etc/GMT+8')
+    return df
+
+
+def read_srml_month_from_solardat(station, year, month, filetype='PO'):
+    """Request a month of SRML[1] data from solardat and read it into
+    a Dataframe.
+
+    Parameters
+    ----------
+    station: str
+        The name of the SRML station to request.
+    year: int
+        Year to request data for
+    month: int
+        Month to request data for.
+    filetype: string
+        SRML file type to gather. 'RO' and 'PO' are the
+        only minute resolution files.
+
+    Returns
+    -------
+    data: pd.DataFrame
+        One month of data from SRML.
+
+    References
+    ----------
+    [1] University of Oregon Solar Radiation Measurement Laboratory
+        `http://solardat.uoregon.edu/ <http://solardat.uoregon.edu/>`_
+    """
+    file_name = "{station}{filetype}{year:02d}{month:02d}.txt".format(
+        station=station,
+        filetype=filetype,
+        year=year % 100,
+        month=month)
+    url = "http://solardat.uoregon.edu/download/Archive/"
+    data = read_srml(url + file_name)
+    return data
diff --git a/pvlib/test/test_srml.py b/pvlib/test/test_srml.py
new file mode 100644
index 0000000000..29688715c3
--- /dev/null
+++ b/pvlib/test/test_srml.py
@@ -0,0 +1,75 @@
+import inspect
+import os
+
+from numpy import isnan
+import pandas as pd
+from pandas.util.testing import network
+import pytest
+
+from pvlib.iotools import srml
+
+
+test_dir = os.path.dirname(
+    os.path.abspath(inspect.getfile(inspect.currentframe())))
+srml_testfile = os.path.join(test_dir, '../data/SRML-day-EUPO1801.txt')
+
+
+def test_read_srml():
+    srml.read_srml(srml_testfile)
+
+
+@network
+def test_read_srml_remote():
+    srml.read_srml('http://solardat.uoregon.edu/download/Archive/EUPO1801.txt')
+
+
+def test_read_srml_columns_exist():
+    data = srml.read_srml(srml_testfile)
+    assert 'ghi_0' in data.columns
+    assert 'ghi_0_flag' in data.columns
+    assert 'dni_1' in data.columns
+    assert 'dni_1_flag' in data.columns
+    assert '7008' in data.columns
+    assert '7008_flag' in data.columns
+
+
+def test_read_srml_nans_exist():
+    data = srml.read_srml(srml_testfile)
+    assert isnan(data['dni_0'][1119])
+    assert data['dni_0_flag'][1119] == 99
+
+
+@pytest.mark.parametrize('url,year,month', [
+    ('http://solardat.uoregon.edu/download/Archive/EUPO1801.txt',
+     2018, 1),
+    ('http://solardat.uoregon.edu/download/Archive/EUPO1612.txt',
+     2016, 12),
+])
+def test_read_srml_dt_index(url, year, month):
+    data = srml.read_srml(url)
+    start = pd.Timestamp('{:04d}{:02d}01 00:00'.format(year, month))
+    start = start.tz_localize('Etc/GMT+8')
+    end = pd.Timestamp('{:04d}{:02d}31 23:59'.format(year, month))
+    end = end.tz_localize('Etc/GMT+8')
+    assert data.index[0] == start
+    assert data.index[-1] == end
+    assert (data.index[59::60].minute == 59).all()
+    assert str(year) not in data.columns
+
+
+@pytest.mark.parametrize('column,expected', [
+    ('1001', 'ghi_1'),
+    ('7324', '7324'),
+    ('2001', '2001'),
+    ('2017', 'dni_7')
+])
+def test_map_columns(column, expected):
+    assert srml.map_columns(column) == expected
+
+
+@network
+def test_read_srml_month_from_solardat():
+    url = 'http://solardat.uoregon.edu/download/Archive/EUPO1801.txt'
+    file_data = srml.read_srml(url)
+    requested = srml.read_srml_month_from_solardat('EU', 2018, 1)
+    assert file_data.equals(requested)