diff --git a/siphon/simplewebservice/iastate.py b/siphon/simplewebservice/iastate.py
index f31d8cfa..cb931967 100644
--- a/siphon/simplewebservice/iastate.py
+++ b/siphon/simplewebservice/iastate.py
@@ -3,6 +3,7 @@
 # SPDX-License-Identifier: BSD-3-Clause
 """Read upper air data from the IA State archives."""
 
+from datetime import datetime
 import json
 import warnings
 
@@ -64,9 +65,8 @@ class IAStateUpperAir(HTTPEndPoint):
 
         """
         json_data = self._get_data_raw(time, site_id)
-
         data = {}
-        for pt in json_data:
+        for pt in json_data['profiles'][0]['profile']:
             for field in ('drct', 'dwpc', 'hght', 'pres', 'sknt', 'tmpc'):
                 data.setdefault(field, []).append(np.nan if pt[field] is None else pt[field])
 
@@ -90,6 +90,10 @@ class IAStateUpperAir(HTTPEndPoint):
         df = df.dropna(subset=('temperature', 'dewpoint', 'direction', 'speed',
                                'u_wind', 'v_wind'), how='all').reset_index(drop=True)
 
+        df['station'] = json_data['profiles'][0]['station']
+        df['time'] = datetime.strptime(json_data['profiles'][0]['valid'],
+                                       '%Y-%m-%dT%H:%M:%SZ')
+
         # Add unit dictionary
         df.units = {'pressure': 'hPa',
                     'height': 'meter',
@@ -98,8 +102,9 @@ class IAStateUpperAir(HTTPEndPoint):
                     'direction': 'degrees',
                     'speed': 'knot',
                     'u_wind': 'knot',
-                    'v_wind': 'knot'}
-
+                    'v_wind': 'knot',
+                    'station': None,
+                    'time': None}
         return df
 
     def _get_data_raw(self, time, site_id):
@@ -119,10 +124,10 @@ class IAStateUpperAir(HTTPEndPoint):
         """
         path = ('raob.py?ts={time:%Y%m%d%H}00&station={stid}').format(time=time, stid=site_id)
         resp = self.get_path(path)
-        json_data = json.loads(resp.text)['profiles'][0]['profile']
+        json_data = json.loads(resp.text)
 
         # See if the return is valid, but has no data
-        if not json_data:
+        if not json_data['profiles'][0]['profile']:
             raise ValueError('No data available for {time:%Y-%m-%d %HZ} '
                              'for station {stid}.'.format(time=time, stid=site_id))
         return json_data
diff --git a/siphon/simplewebservice/wyoming.py b/siphon/simplewebservice/wyoming.py
index e2d9e4b7..48d0907f 100644
--- a/siphon/simplewebservice/wyoming.py
+++ b/siphon/simplewebservice/wyoming.py
@@ -3,6 +3,7 @@
 # SPDX-License-Identifier: BSD-3-Clause
 """Read upper air data from the Wyoming archives."""
 
+from datetime import datetime
 from io import StringIO
 import warnings
 
@@ -69,8 +70,10 @@ class WyomingUpperAir(HTTPEndPoint):
 
         """
         raw_data = self._get_data_raw(time, site_id, region)
+        soup = BeautifulSoup(raw_data, 'html.parser')
+        tabular_data = StringIO(soup.find_all('pre')[0].contents[0])
         col_names = ['pressure', 'height', 'temperature', 'dewpoint', 'direction', 'speed']
-        df = pd.read_fwf(raw_data, skiprows=5, usecols=[0, 1, 2, 3, 6, 7], names=col_names)
+        df = pd.read_fwf(tabular_data, skiprows=5, usecols=[0, 1, 2, 3, 6, 7], names=col_names)
         df['u_wind'], df['v_wind'] = get_wind_components(df['speed'],
                                                          np.deg2rad(df['direction']))
 
@@ -78,6 +81,23 @@ class WyomingUpperAir(HTTPEndPoint):
         df = df.dropna(subset=('temperature', 'dewpoint', 'direction', 'speed',
                                'u_wind', 'v_wind'), how='all').reset_index(drop=True)
 
+        # Parse metadata
+        meta_data = soup.find_all('pre')[1].contents[0]
+        lines = meta_data.splitlines()
+        station = lines[1].split(':')[1].strip()
+        station_number = int(lines[2].split(':')[1].strip())
+        sounding_time = datetime.strptime(lines[3].split(':')[1].strip(), '%y%m%d/%H%M')
+        latitude = float(lines[4].split(':')[1].strip())
+        longitude = float(lines[5].split(':')[1].strip())
+        elevation = float(lines[6].split(':')[1].strip())
+
+        df['station'] = station
+        df['station_number'] = station_number
+        df['time'] = sounding_time
+        df['latitude'] = latitude
+        df['longitude'] = longitude
+        df['elevation'] = elevation
+
         # Add unit dictionary
         df.units = {'pressure': 'hPa',
                     'height': 'meter',
@@ -86,7 +106,13 @@ class WyomingUpperAir(HTTPEndPoint):
                     'direction': 'degrees',
                     'speed': 'knot',
                     'u_wind': 'knot',
-                    'v_wind': 'knot'}
+                    'v_wind': 'knot',
+                    'station': None,
+                    'station_number': None,
+                    'time': None,
+                    'latitude': 'degrees',
+                    'longitude': 'degrees',
+                    'elevation': 'meter'}
         return df
 
     def _get_data_raw(self, time, site_id, region='naconf'):
@@ -103,7 +129,7 @@ class WyomingUpperAir(HTTPEndPoint):
 
         Returns
         -------
-        a file-like object from which to read the data
+        text of the server response
 
         """
         path = ('?region={region}&TYPE=TEXT%3ALIST'
@@ -118,5 +144,4 @@ class WyomingUpperAir(HTTPEndPoint):
                 'for station {stid}.'.format(time=time, region=region,
                                              stid=site_id))
 
-        soup = BeautifulSoup(resp.text, 'html.parser')
-        return StringIO(soup.find_all('pre')[0].contents[0])
+        return resp.text

Add time to upper air data
Current the returned data does not have a column for time, since this isn't provided as a column in the output--but it *is* in the text header. It would be nice to parse this and add as a column so that we have a self-contained dataset. It's probably also needed when we try to handle requesting and returning data for multiple times.
diff --git a/siphon/tests/test_iastate.py b/siphon/tests/test_iastate.py
index c5d038f6..ca7448d2 100644
--- a/siphon/tests/test_iastate.py
+++ b/siphon/tests/test_iastate.py
@@ -19,6 +19,9 @@ def test_iastate():
     """Test that we are properly parsing data from the Iowa State archive."""
     df = IAStateUpperAir.request_data(datetime(1999, 5, 4, 0), 'OUN')
 
+    assert(df['time'][0] == datetime(1999, 5, 4, 0))
+    assert(df['station'][0] == 'KOUN')
+
     assert_almost_equal(df['pressure'][6], 872.7, 2)
     assert_almost_equal(df['height'][6], 1172.0, 2)
     assert_almost_equal(df['temperature'][6], 18.2, 2)
@@ -36,6 +39,8 @@ def test_iastate():
     assert(df.units['v_wind'] == 'knot')
     assert(df.units['speed'] == 'knot')
     assert(df.units['direction'] == 'degrees')
+    assert(df.units['station'] is None)
+    assert(df.units['time'] is None)
 
 
 @recorder.use_cassette('iastate_high_alt_sounding')
@@ -43,6 +48,9 @@ def test_high_alt_iastate():
     """Test Iowa State data that starts at pressure less than 925 hPa."""
     df = IAStateUpperAir.request_data(datetime(2010, 12, 9, 12), 'BOI')
 
+    assert(df['time'][0] == datetime(2010, 12, 9, 12))
+    assert(df['station'][0] == 'KBOI')
+
     assert_almost_equal(df['pressure'][0], 919.0, 2)
     assert_almost_equal(df['height'][0], 871.0, 2)
     assert_almost_equal(df['temperature'][0], -0.1, 2)
@@ -51,3 +59,14 @@ def test_high_alt_iastate():
     assert_almost_equal(df['v_wind'][0], 1.500, 2)
     assert_almost_equal(df['speed'][0], 3.0, 1)
     assert_almost_equal(df['direction'][0], 240.0, 1)
+
+    assert(df.units['pressure'] == 'hPa')
+    assert(df.units['height'] == 'meter')
+    assert(df.units['temperature'] == 'degC')
+    assert(df.units['dewpoint'] == 'degC')
+    assert(df.units['u_wind'] == 'knot')
+    assert(df.units['v_wind'] == 'knot')
+    assert(df.units['speed'] == 'knot')
+    assert(df.units['direction'] == 'degrees')
+    assert(df.units['station'] is None)
+    assert(df.units['time'] is None)
diff --git a/siphon/tests/test_wyoming.py b/siphon/tests/test_wyoming.py
index 9675cd28..01ba59ff 100644
--- a/siphon/tests/test_wyoming.py
+++ b/siphon/tests/test_wyoming.py
@@ -19,6 +19,13 @@ def test_wyoming():
     """Test that we are properly parsing data from the Wyoming archive."""
     df = WyomingUpperAir.request_data(datetime(1999, 5, 4, 0), 'OUN')
 
+    assert(df['time'][0] == datetime(1999, 5, 4, 0))
+    assert(df['station'][0] == 'OUN')
+    assert(df['station_number'][0] == 72357)
+    assert(df['latitude'][0] == 35.18)
+    assert(df['longitude'][0] == -97.44)
+    assert(df['elevation'][0] == 345.0)
+
     assert_almost_equal(df['pressure'][5], 867.9, 2)
     assert_almost_equal(df['height'][5], 1219., 2)
     assert_almost_equal(df['temperature'][5], 17.4, 2)
@@ -36,6 +43,12 @@ def test_wyoming():
     assert(df.units['v_wind'] == 'knot')
     assert(df.units['speed'] == 'knot')
     assert(df.units['direction'] == 'degrees')
+    assert(df.units['latitude'] == 'degrees')
+    assert(df.units['longitude'] == 'degrees')
+    assert(df.units['elevation'] == 'meter')
+    assert(df.units['station'] is None)
+    assert(df.units['station_number'] is None)
+    assert(df.units['time'] is None)
 
 
 @recorder.use_cassette('wyoming_high_alt_sounding')
@@ -43,6 +56,13 @@ def test_high_alt_wyoming():
     """Test Wyoming data that starts at pressure less than 925 hPa."""
     df = WyomingUpperAir.request_data(datetime(2010, 12, 9, 12), 'BOI')
 
+    assert(df['time'][0] == datetime(2010, 12, 9, 12))
+    assert(df['station'][0] == 'BOI')
+    assert(df['station_number'][0] == 72681)
+    assert(df['latitude'][0] == 43.56)
+    assert(df['longitude'][0] == -116.21)
+    assert(df['elevation'][0] == 874.0)
+
     assert_almost_equal(df['pressure'][2], 890.0, 2)
     assert_almost_equal(df['height'][2], 1133., 2)
     assert_almost_equal(df['temperature'][2], 5.4, 2)
@@ -51,3 +71,18 @@ def test_high_alt_wyoming():
     assert_almost_equal(df['v_wind'][2], 5.99, 2)
     assert_almost_equal(df['speed'][2], 6.0, 1)
     assert_almost_equal(df['direction'][2], 176.0, 1)
+
+    assert(df.units['pressure'] == 'hPa')
+    assert(df.units['height'] == 'meter')
+    assert(df.units['temperature'] == 'degC')
+    assert(df.units['dewpoint'] == 'degC')
+    assert(df.units['u_wind'] == 'knot')
+    assert(df.units['v_wind'] == 'knot')
+    assert(df.units['speed'] == 'knot')
+    assert(df.units['direction'] == 'degrees')
+    assert(df.units['latitude'] == 'degrees')
+    assert(df.units['longitude'] == 'degrees')
+    assert(df.units['elevation'] == 'meter')
+    assert(df.units['station'] is None)
+    assert(df.units['station_number'] is None)
+    assert(df.units['time'] is None)

environment.yml
pip install -e .[dev]
parse_log_pytest
environment.yml
pytest pytest-cov
apt-get update apt-get install -y gcc libhdf5-serial-dev libnetcdf-dev
3.6
pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning
alabaster @ file:///home/conda/feedstock_root/build_artifacts/alabaster_1673645646525/work
argon2-cffi @ file:///home/conda/feedstock_root/build_artifacts/argon2-cffi_1633990451307/work
async_generator @ file:///home/conda/feedstock_root/build_artifacts/async_generator_1722652753231/work
attrs @ file:///home/conda/feedstock_root/build_artifacts/attrs_1671632566681/work
Babel @ file:///home/conda/feedstock_root/build_artifacts/babel_1667688356751/work
backcall @ file:///home/conda/feedstock_root/build_artifacts/backcall_1592338393461/work
backports.functools-lru-cache @ file:///home/conda/feedstock_root/build_artifacts/backports.functools_lru_cache_1702571698061/work
beautifulsoup4 @ file:///home/conda/feedstock_root/build_artifacts/beautifulsoup4_1705564648255/work
bleach @ file:///home/conda/feedstock_root/build_artifacts/bleach_1696630167146/work
brotlipy==0.7.0
Cartopy @ file:///home/conda/feedstock_root/build_artifacts/cartopy_1630680837223/work
certifi==2021.5.30
cffi @ file:///home/conda/feedstock_root/build_artifacts/cffi_1631636256886/work
cftime @ file:///home/conda/feedstock_root/build_artifacts/cftime_1632539733990/work
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cycler @ file:///home/conda/feedstock_root/build_artifacts/cycler_1635519461629/work
decorator @ file:///home/conda/feedstock_root/build_artifacts/decorator_1641555617451/work
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doc8 @ file:///home/conda/feedstock_root/build_artifacts/doc8_1652824562281/work
docutils @ file:///home/conda/feedstock_root/build_artifacts/docutils_1618676244774/work
entrypoints @ file:///home/conda/feedstock_root/build_artifacts/entrypoints_1643888246732/work
flake8 @ file:///home/conda/feedstock_root/build_artifacts/flake8_1659645013175/work
flake8-builtins @ file:///home/conda/feedstock_root/build_artifacts/flake8-builtins_1589815207697/work
flake8-comprehensions @ file:///home/conda/feedstock_root/build_artifacts/flake8-comprehensions_1641851052064/work
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flake8-docstrings @ file:///home/conda/feedstock_root/build_artifacts/flake8-docstrings_1616176909510/work
flake8-import-order @ file:///home/conda/feedstock_root/build_artifacts/flake8-import-order_1669670271290/work
flake8-mutable==1.2.0
flake8-pep3101==1.3.0
flake8-polyfill==1.0.2
flake8-print @ file:///home/conda/feedstock_root/build_artifacts/flake8-print_1606721773021/work
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idna @ file:///home/conda/feedstock_root/build_artifacts/idna_1726459485162/work
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importlib-metadata @ file:///home/conda/feedstock_root/build_artifacts/importlib-metadata_1630267465156/work
importlib-resources==5.4.0
iniconfig @ file:///home/conda/feedstock_root/build_artifacts/iniconfig_1603384189793/work
ipykernel @ file:///home/conda/feedstock_root/build_artifacts/ipykernel_1620912934572/work/dist/ipykernel-5.5.5-py3-none-any.whl
ipyparallel==8.2.1
ipython @ file:///home/conda/feedstock_root/build_artifacts/ipython_1609697613279/work
ipython_genutils @ file:///home/conda/feedstock_root/build_artifacts/ipython_genutils_1716278396992/work
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jedi @ file:///home/conda/feedstock_root/build_artifacts/jedi_1605054537831/work
Jinja2 @ file:///home/conda/feedstock_root/build_artifacts/jinja2_1636510082894/work
jsonschema @ file:///home/conda/feedstock_root/build_artifacts/jsonschema_1634752161479/work
jupyter @ file:///home/conda/feedstock_root/build_artifacts/jupyter_1696255489086/work
jupyter-client @ file:///home/conda/feedstock_root/build_artifacts/jupyter_client_1642858610849/work
jupyter-console @ file:///home/conda/feedstock_root/build_artifacts/jupyter_console_1676328545892/work
jupyter-core @ file:///home/conda/feedstock_root/build_artifacts/jupyter_core_1631852698933/work
jupyterlab-pygments @ file:///home/conda/feedstock_root/build_artifacts/jupyterlab_pygments_1601375948261/work
jupyterlab-widgets @ file:///home/conda/feedstock_root/build_artifacts/jupyterlab_widgets_1655961217661/work
kiwisolver @ file:///home/conda/feedstock_root/build_artifacts/kiwisolver_1610099771815/work
MarkupSafe @ file:///home/conda/feedstock_root/build_artifacts/markupsafe_1621455668064/work
matplotlib @ file:///home/conda/feedstock_root/build_artifacts/matplotlib-suite_1611858699142/work
mccabe @ file:///home/conda/feedstock_root/build_artifacts/mccabe_1643049622439/work
mistune @ file:///home/conda/feedstock_root/build_artifacts/mistune_1673904152039/work
more-itertools @ file:///home/conda/feedstock_root/build_artifacts/more-itertools_1690211628840/work
multidict @ file:///home/conda/feedstock_root/build_artifacts/multidict_1633329770033/work
nbclient @ file:///home/conda/feedstock_root/build_artifacts/nbclient_1637327213451/work
nbconvert @ file:///home/conda/feedstock_root/build_artifacts/nbconvert_1605401832871/work
nbformat @ file:///home/conda/feedstock_root/build_artifacts/nbformat_1617383142101/work
nest_asyncio @ file:///home/conda/feedstock_root/build_artifacts/nest-asyncio_1705850609492/work
netCDF4 @ file:///home/conda/feedstock_root/build_artifacts/netcdf4_1633096406418/work
nose==1.3.7
notebook @ file:///home/conda/feedstock_root/build_artifacts/notebook_1616419146127/work
numpy @ file:///home/conda/feedstock_root/build_artifacts/numpy_1626681920064/work
olefile @ file:///home/conda/feedstock_root/build_artifacts/olefile_1602866521163/work
packaging @ file:///home/conda/feedstock_root/build_artifacts/packaging_1637239678211/work
pandas==1.1.5
pandocfilters @ file:///home/conda/feedstock_root/build_artifacts/pandocfilters_1631603243851/work
parso @ file:///home/conda/feedstock_root/build_artifacts/parso_1595548966091/work
pbr @ file:///home/conda/feedstock_root/build_artifacts/pbr_1724777609752/work
pep8-naming @ file:///home/conda/feedstock_root/build_artifacts/pep8-naming_1628397497711/work
pexpect @ file:///home/conda/feedstock_root/build_artifacts/pexpect_1667297516076/work
pickleshare @ file:///home/conda/feedstock_root/build_artifacts/pickleshare_1602536217715/work
Pillow @ file:///home/conda/feedstock_root/build_artifacts/pillow_1630696616009/work
pluggy @ file:///home/conda/feedstock_root/build_artifacts/pluggy_1631522669284/work
prometheus-client @ file:///home/conda/feedstock_root/build_artifacts/prometheus_client_1689032443210/work
prompt-toolkit @ file:///home/conda/feedstock_root/build_artifacts/prompt-toolkit_1670414775770/work
protobuf==3.18.0
psutil==7.0.0
ptyprocess @ file:///home/conda/feedstock_root/build_artifacts/ptyprocess_1609419310487/work/dist/ptyprocess-0.7.0-py2.py3-none-any.whl
py @ file:///home/conda/feedstock_root/build_artifacts/py_1636301881863/work
pycodestyle @ file:///home/conda/feedstock_root/build_artifacts/pycodestyle_1659638152915/work
pycparser @ file:///home/conda/feedstock_root/build_artifacts/pycparser_1636257122734/work
pydocstyle @ file:///home/conda/feedstock_root/build_artifacts/pydocstyle_1672787369895/work
pyflakes @ file:///home/conda/feedstock_root/build_artifacts/pyflakes_1659210156976/work
Pygments @ file:///home/conda/feedstock_root/build_artifacts/pygments_1672682006896/work
pyOpenSSL @ file:///home/conda/feedstock_root/build_artifacts/pyopenssl_1663846997386/work
pyparsing @ file:///home/conda/feedstock_root/build_artifacts/pyparsing_1724616129934/work
PyQt5==5.12.3
PyQt5_sip==4.19.18
PyQtChart==5.12
PyQtWebEngine==5.12.1
pyrsistent @ file:///home/conda/feedstock_root/build_artifacts/pyrsistent_1610146795286/work
pyshp @ file:///home/conda/feedstock_root/build_artifacts/pyshp_1659002966020/work
PySocks @ file:///home/conda/feedstock_root/build_artifacts/pysocks_1610291458349/work
pytest==6.2.5
pytest-cov @ file:///home/conda/feedstock_root/build_artifacts/pytest-cov_1664412836798/work
pytest-flake8 @ file:///home/conda/feedstock_root/build_artifacts/pytest-flake8_1646767752166/work
pytest-runner @ file:///home/conda/feedstock_root/build_artifacts/pytest-runner_1646127837850/work
python-dateutil @ file:///home/conda/feedstock_root/build_artifacts/python-dateutil_1626286286081/work
pytz @ file:///home/conda/feedstock_root/build_artifacts/pytz_1693930252784/work
PyYAML==5.4.1
pyzmq @ file:///home/conda/feedstock_root/build_artifacts/pyzmq_1631793305981/work
qtconsole @ file:///home/conda/feedstock_root/build_artifacts/qtconsole-base_1640876679830/work
QtPy @ file:///home/conda/feedstock_root/build_artifacts/qtpy_1643828301492/work
requests @ file:///home/conda/feedstock_root/build_artifacts/requests_1656534056640/work
restructuredtext-lint @ file:///home/conda/feedstock_root/build_artifacts/restructuredtext_lint_1645724685739/work
scipy @ file:///home/conda/feedstock_root/build_artifacts/scipy_1629411471490/work
Send2Trash @ file:///home/conda/feedstock_root/build_artifacts/send2trash_1682601222253/work
Shapely @ file:///home/conda/feedstock_root/build_artifacts/shapely_1628205367507/work
-e git+https://github.com/Unidata/siphon.git@e99953a89c35afd15c6e24a54fa0ebba4e927946#egg=siphon
six @ file:///home/conda/feedstock_root/build_artifacts/six_1620240208055/work
snowballstemmer @ file:///home/conda/feedstock_root/build_artifacts/snowballstemmer_1637143057757/work
soupsieve @ file:///home/conda/feedstock_root/build_artifacts/soupsieve_1658207591808/work
Sphinx @ file:///home/conda/feedstock_root/build_artifacts/sphinx_1658872348413/work
sphinx-gallery @ file:///home/conda/feedstock_root/build_artifacts/sphinx-gallery_1700542355088/work
sphinxcontrib-applehelp @ file:///home/conda/feedstock_root/build_artifacts/sphinxcontrib-applehelp_1674487779667/work
sphinxcontrib-devhelp==1.0.2
sphinxcontrib-htmlhelp @ file:///home/conda/feedstock_root/build_artifacts/sphinxcontrib-htmlhelp_1675256494457/work
sphinxcontrib-jsmath @ file:///home/conda/feedstock_root/build_artifacts/sphinxcontrib-jsmath_1691604704163/work
sphinxcontrib-qthelp==1.0.3
sphinxcontrib-serializinghtml @ file:///home/conda/feedstock_root/build_artifacts/sphinxcontrib-serializinghtml_1649380998999/work
stevedore @ file:///home/conda/feedstock_root/build_artifacts/stevedore_1629395095970/work
terminado @ file:///home/conda/feedstock_root/build_artifacts/terminado_1631128154882/work
testpath @ file:///home/conda/feedstock_root/build_artifacts/testpath_1645693042223/work
toml @ file:///home/conda/feedstock_root/build_artifacts/toml_1604308577558/work
tomli @ file:///home/conda/feedstock_root/build_artifacts/tomli_1635181214134/work
tornado @ file:///home/conda/feedstock_root/build_artifacts/tornado_1610094701020/work
tqdm==4.64.1
traitlets @ file:///home/conda/feedstock_root/build_artifacts/traitlets_1631041982274/work
typing_extensions @ file:///home/conda/feedstock_root/build_artifacts/typing_extensions_1644850595256/work
urllib3 @ file:///home/conda/feedstock_root/build_artifacts/urllib3_1678635778344/work
vcrpy @ file:///home/conda/feedstock_root/build_artifacts/vcrpy_1602284745577/work
wcwidth @ file:///home/conda/feedstock_root/build_artifacts/wcwidth_1699959196938/work
webencodings @ file:///home/conda/feedstock_root/build_artifacts/webencodings_1694681268211/work
widgetsnbextension @ file:///home/conda/feedstock_root/build_artifacts/widgetsnbextension_1655939017940/work
wrapt @ file:///home/conda/feedstock_root/build_artifacts/wrapt_1633440474617/work
xarray @ file:///home/conda/feedstock_root/build_artifacts/xarray_1621474818012/work
yarl @ file:///home/conda/feedstock_root/build_artifacts/yarl_1625232870338/work
zipp @ file:///home/conda/feedstock_root/build_artifacts/zipp_1633302054558/work

name: siphon
channels:
  - https://repo.anaconda.com/pkgs/main
  - https://repo.anaconda.com/pkgs/r
  - conda-forge
dependencies:
  - _libgcc_mutex=0.1=conda_forge
  - _openmp_mutex=4.5=2_gnu
  - alabaster=0.7.13=pyhd8ed1ab_0
  - alsa-lib=1.2.7.2=h166bdaf_0
  - argon2-cffi=21.1.0=py36h8f6f2f9_0
  - async_generator=1.10=pyhd8ed1ab_1
  - attrs=22.2.0=pyh71513ae_0
  - babel=2.11.0=pyhd8ed1ab_0
  - backcall=0.2.0=pyh9f0ad1d_0
  - backports=1.0=pyhd8ed1ab_4
  - backports.functools_lru_cache=2.0.0=pyhd8ed1ab_0
  - beautifulsoup4=4.12.3=pyha770c72_0
  - bleach=6.1.0=pyhd8ed1ab_0
  - brotlipy=0.7.0=py36h8f6f2f9_1001
  - bzip2=1.0.8=h4bc722e_7
  - c-ares=1.34.4=hb9d3cd8_0
  - ca-certificates=2025.1.31=hbcca054_0
  - cartopy=0.19.0.post1=py36hbcbf2fa_1
  - certifi=2021.5.30=py36h5fab9bb_0
  - cffi=1.14.6=py36hd8eec40_1
  - cftime=1.5.1=py36he33b4a0_0
  - charset-normalizer=2.1.1=pyhd8ed1ab_0
  - colorama=0.4.5=pyhd8ed1ab_0
  - coverage=6.0=py36h8f6f2f9_1
  - cryptography=35.0.0=py36hb60f036_0
  - curl=7.87.0=h6312ad2_0
  - cycler=0.11.0=pyhd8ed1ab_0
  - dbus=1.13.6=h5008d03_3
  - decorator=5.1.1=pyhd8ed1ab_0
  - defusedxml=0.7.1=pyhd8ed1ab_0
  - doc8=0.11.2=pyhd8ed1ab_0
  - docutils=0.17.1=py36h5fab9bb_0
  - entrypoints=0.4=pyhd8ed1ab_0
  - expat=2.6.4=h5888daf_0
  - flake8=5.0.4=pyhd8ed1ab_0
  - flake8-builtins=1.5.3=pyh9f0ad1d_0
  - flake8-comprehensions=3.8.0=pyhd8ed1ab_0
  - flake8-copyright=0.2.4=pyhd8ed1ab_0
  - flake8-docstrings=1.6.0=pyhd8ed1ab_0
  - flake8-import-order=0.18.2=pyhd8ed1ab_0
  - flake8-mutable=1.2.0=py_1
  - flake8-pep3101=1.3.0=py_0
  - flake8-polyfill=1.0.2=py_0
  - flake8-print=4.0.0=pyhd8ed1ab_0
  - flake8-quotes=3.4.0=pyhd8ed1ab_0
  - font-ttf-dejavu-sans-mono=2.37=hab24e00_0
  - font-ttf-inconsolata=3.000=h77eed37_0
  - font-ttf-source-code-pro=2.038=h77eed37_0
  - font-ttf-ubuntu=0.83=h77eed37_3
  - fontconfig=2.14.2=h14ed4e7_0
  - fonts-conda-ecosystem=1=0
  - fonts-conda-forge=1=0
  - freetype=2.12.1=h267a509_2
  - geos=3.9.1=h9c3ff4c_2
  - gettext=0.23.1=h5888daf_0
  - gettext-tools=0.23.1=h5888daf_0
  - glib=2.80.2=hf974151_0
  - glib-tools=2.80.2=hb6ce0ca_0
  - gst-plugins-base=1.20.3=h57caac4_2
  - gstreamer=1.20.3=hd4edc92_2
  - hdf4=4.2.15=h9772cbc_5
  - hdf5=1.12.1=nompi_h2386368_104
  - icu=69.1=h9c3ff4c_0
  - idna=3.10=pyhd8ed1ab_0
  - imagesize=1.4.1=pyhd8ed1ab_0
  - importlib-metadata=4.8.1=py36h5fab9bb_0
  - importlib_metadata=4.8.1=hd8ed1ab_1
  - iniconfig=1.1.1=pyh9f0ad1d_0
  - ipykernel=5.5.5=py36hcb3619a_0
  - ipython=7.16.1=py36he448a4c_2
  - ipython_genutils=0.2.0=pyhd8ed1ab_1
  - ipywidgets=7.7.4=pyhd8ed1ab_0
  - jedi=0.17.2=py36h5fab9bb_1
  - jinja2=3.0.3=pyhd8ed1ab_0
  - jpeg=9e=h0b41bf4_3
  - jsonschema=4.1.2=pyhd8ed1ab_0
  - jupyter=1.0.0=pyhd8ed1ab_10
  - jupyter_client=7.1.2=pyhd8ed1ab_0
  - jupyter_console=6.5.1=pyhd8ed1ab_0
  - jupyter_core=4.8.1=py36h5fab9bb_0
  - jupyterlab_pygments=0.1.2=pyh9f0ad1d_0
  - jupyterlab_widgets=1.1.1=pyhd8ed1ab_0
  - keyutils=1.6.1=h166bdaf_0
  - kiwisolver=1.3.1=py36h605e78d_1
  - krb5=1.20.1=hf9c8cef_0
  - lcms2=2.12=hddcbb42_0
  - ld_impl_linux-64=2.43=h712a8e2_4
  - lerc=3.0=h9c3ff4c_0
  - libasprintf=0.23.1=h8e693c7_0
  - libasprintf-devel=0.23.1=h8e693c7_0
  - libblas=3.9.0=20_linux64_openblas
  - libcblas=3.9.0=20_linux64_openblas
  - libclang=13.0.1=default_hb5137d0_10
  - libcurl=7.87.0=h6312ad2_0
  - libdeflate=1.10=h7f98852_0
  - libedit=3.1.20250104=pl5321h7949ede_0
  - libev=4.33=hd590300_2
  - libevent=2.1.10=h9b69904_4
  - libexpat=2.6.4=h5888daf_0
  - libffi=3.4.6=h2dba641_0
  - libgcc=14.2.0=h767d61c_2
  - libgcc-ng=14.2.0=h69a702a_2
  - libgettextpo=0.23.1=h5888daf_0
  - libgettextpo-devel=0.23.1=h5888daf_0
  - libgfortran=14.2.0=h69a702a_2
  - libgfortran-ng=14.2.0=h69a702a_2
  - libgfortran5=14.2.0=hf1ad2bd_2
  - libglib=2.80.2=hf974151_0
  - libgomp=14.2.0=h767d61c_2
  - libiconv=1.18=h4ce23a2_1
  - liblapack=3.9.0=20_linux64_openblas
  - libllvm13=13.0.1=hf817b99_2
  - liblzma=5.6.4=hb9d3cd8_0
  - liblzma-devel=5.6.4=hb9d3cd8_0
  - libnetcdf=4.8.1=nompi_h329d8a1_102
  - libnghttp2=1.51.0=hdcd2b5c_0
  - libnsl=2.0.1=hd590300_0
  - libogg=1.3.5=h4ab18f5_0
  - libopenblas=0.3.25=pthreads_h413a1c8_0
  - libopus=1.3.1=h7f98852_1
  - libpng=1.6.43=h2797004_0
  - libpq=14.5=h2baec63_5
  - libprotobuf=3.18.0=h780b84a_1
  - libsodium=1.0.18=h36c2ea0_1
  - libsqlite=3.46.0=hde9e2c9_0
  - libssh2=1.10.0=haa6b8db_3
  - libstdcxx=14.2.0=h8f9b012_2
  - libstdcxx-ng=14.2.0=h4852527_2
  - libtiff=4.3.0=h0fcbabc_4
  - libuuid=2.38.1=h0b41bf4_0
  - libvorbis=1.3.7=h9c3ff4c_0
  - libwebp-base=1.5.0=h851e524_0
  - libxcb=1.13=h7f98852_1004
  - libxkbcommon=1.0.3=he3ba5ed_0
  - libxml2=2.9.14=haae042b_4
  - libzip=1.9.2=hc869a4a_1
  - libzlib=1.2.13=h4ab18f5_6
  - markupsafe=2.0.1=py36h8f6f2f9_0
  - matplotlib=3.3.4=py36h5fab9bb_0
  - matplotlib-base=3.3.4=py36hd391965_0
  - mccabe=0.7.0=pyhd8ed1ab_0
  - mistune=0.8.4=pyh1a96a4e_1006
  - more-itertools=10.0.0=pyhd8ed1ab_0
  - multidict=5.2.0=py36h8f6f2f9_0
  - mysql-common=8.0.32=h14678bc_0
  - mysql-libs=8.0.32=h54cf53e_0
  - nbclient=0.5.9=pyhd8ed1ab_0
  - nbconvert=6.0.7=py36h5fab9bb_3
  - nbformat=5.1.3=pyhd8ed1ab_0
  - ncurses=6.5=h2d0b736_3
  - nest-asyncio=1.6.0=pyhd8ed1ab_0
  - netcdf4=1.5.7=nompi_py36h775750b_103
  - notebook=6.3.0=py36h5fab9bb_0
  - nspr=4.36=h5888daf_0
  - nss=3.100=hca3bf56_0
  - numpy=1.19.5=py36hfc0c790_2
  - olefile=0.46=pyh9f0ad1d_1
  - openjpeg=2.5.0=h7d73246_0
  - openssl=1.1.1w=hd590300_0
  - packaging=21.3=pyhd8ed1ab_0
  - pandas=1.1.5=py36h284efc9_0
  - pandoc=2.19.2=h32600fe_2
  - pandocfilters=1.5.0=pyhd8ed1ab_0
  - parso=0.7.1=pyh9f0ad1d_0
  - pbr=6.1.0=pyhd8ed1ab_0
  - pcre2=10.43=hcad00b1_0
  - pep8-naming=0.12.1=pyhd8ed1ab_0
  - pexpect=4.8.0=pyh1a96a4e_2
  - pickleshare=0.7.5=py_1003
  - pillow=8.3.2=py36h676a545_0
  - pip=21.3.1=pyhd8ed1ab_0
  - pluggy=1.0.0=py36h5fab9bb_1
  - proj=7.2.0=h277dcde_2
  - prometheus_client=0.17.1=pyhd8ed1ab_0
  - prompt-toolkit=3.0.36=pyha770c72_0
  - prompt_toolkit=3.0.36=hd8ed1ab_0
  - protobuf=3.18.0=py36hc4f0c31_0
  - pthread-stubs=0.4=hb9d3cd8_1002
  - ptyprocess=0.7.0=pyhd3deb0d_0
  - py=1.11.0=pyh6c4a22f_0
  - pycodestyle=2.9.1=pyhd8ed1ab_0
  - pycparser=2.21=pyhd8ed1ab_0
  - pydocstyle=6.2.0=pyhd8ed1ab_0
  - pyflakes=2.5.0=pyhd8ed1ab_0
  - pygments=2.14.0=pyhd8ed1ab_0
  - pyopenssl=22.0.0=pyhd8ed1ab_1
  - pyparsing=3.1.4=pyhd8ed1ab_0
  - pyqt=5.12.3=py36h5fab9bb_7
  - pyqt-impl=5.12.3=py36h7ec31b9_7
  - pyqt5-sip=4.19.18=py36hc4f0c31_7
  - pyqtchart=5.12=py36h7ec31b9_7
  - pyqtwebengine=5.12.1=py36h7ec31b9_7
  - pyrsistent=0.17.3=py36h8f6f2f9_2
  - pyshp=2.3.1=pyhd8ed1ab_0
  - pysocks=1.7.1=py36h5fab9bb_3
  - pytest=6.2.5=py36h5fab9bb_0
  - pytest-cov=4.0.0=pyhd8ed1ab_0
  - pytest-flake8=1.1.0=pyhd8ed1ab_0
  - pytest-runner=5.3.2=pyhd8ed1ab_0
  - python=3.6.15=hb7a2778_0_cpython
  - python-dateutil=2.8.2=pyhd8ed1ab_0
  - python_abi=3.6=2_cp36m
  - pytz=2023.3.post1=pyhd8ed1ab_0
  - pyyaml=5.4.1=py36h8f6f2f9_1
  - pyzmq=22.3.0=py36h7068817_0
  - qt=5.12.9=h1304e3e_6
  - qtconsole-base=5.2.2=pyhd8ed1ab_1
  - qtpy=2.0.1=pyhd8ed1ab_0
  - readline=8.2=h8c095d6_2
  - requests=2.28.1=pyhd8ed1ab_0
  - restructuredtext_lint=1.4.0=pyhd8ed1ab_0
  - scipy=1.5.3=py36h81d768a_1
  - send2trash=1.8.2=pyh41d4057_0
  - setuptools=58.0.4=py36h5fab9bb_2
  - shapely=1.7.1=py36hff28ebb_5
  - six=1.16.0=pyh6c4a22f_0
  - snowballstemmer=2.2.0=pyhd8ed1ab_0
  - soupsieve=2.3.2.post1=pyhd8ed1ab_0
  - sphinx=5.1.1=pyh6c4a22f_0
  - sphinx-gallery=0.15.0=pyhd8ed1ab_0
  - sphinxcontrib-applehelp=1.0.4=pyhd8ed1ab_0
  - sphinxcontrib-devhelp=1.0.2=py_0
  - sphinxcontrib-htmlhelp=2.0.1=pyhd8ed1ab_0
  - sphinxcontrib-jsmath=1.0.1=pyhd8ed1ab_0
  - sphinxcontrib-qthelp=1.0.3=py_0
  - sphinxcontrib-serializinghtml=1.1.5=pyhd8ed1ab_2
  - sqlite=3.46.0=h6d4b2fc_0
  - stevedore=3.4.0=py36h5fab9bb_0
  - terminado=0.12.1=py36h5fab9bb_0
  - testpath=0.6.0=pyhd8ed1ab_0
  - tk=8.6.13=noxft_h4845f30_101
  - toml=0.10.2=pyhd8ed1ab_0
  - tomli=1.2.2=pyhd8ed1ab_0
  - tornado=6.1=py36h8f6f2f9_1
  - traitlets=4.3.3=pyhd8ed1ab_2
  - typing-extensions=4.1.1=hd8ed1ab_0
  - typing_extensions=4.1.1=pyha770c72_0
  - urllib3=1.26.15=pyhd8ed1ab_0
  - vcrpy=4.1.1=py_0
  - wcwidth=0.2.10=pyhd8ed1ab_0
  - webencodings=0.5.1=pyhd8ed1ab_2
  - wheel=0.37.1=pyhd8ed1ab_0
  - widgetsnbextension=3.6.1=pyha770c72_0
  - wrapt=1.13.1=py36h8f6f2f9_0
  - xarray=0.18.2=pyhd8ed1ab_0
  - xorg-libxau=1.0.12=hb9d3cd8_0
  - xorg-libxdmcp=1.1.5=hb9d3cd8_0
  - xz=5.6.4=hbcc6ac9_0
  - xz-gpl-tools=5.6.4=hbcc6ac9_0
  - xz-tools=5.6.4=hb9d3cd8_0
  - yaml=0.2.5=h7f98852_2
  - yarl=1.6.3=py36h8f6f2f9_2
  - zeromq=4.3.5=h59595ed_1
  - zipp=3.6.0=pyhd8ed1ab_0
  - zlib=1.2.13=h4ab18f5_6
  - zstd=1.5.6=ha6fb4c9_0
  - pip:
      - importlib-resources==5.4.0
      - ipyparallel==8.2.1
      - nose==1.3.7
      - psutil==7.0.0
      - tqdm==4.64.1
prefix: /opt/conda/envs/siphon

siphon/tests/test_iastate.py::test_iastate siphon/tests/test_iastate.py::test_high_alt_iastate siphon/tests/test_wyoming.py::test_wyoming siphon/tests/test_wyoming.py::test_high_alt_wyoming
siphon/simplewebservice/iastate.py siphon/simplewebservice/wyoming.py
siphon/simplewebservice/iastate.py siphon/simplewebservice/wyoming.py