2009-04-21T13:19:00 1000 We give continuous night and day light measurements at all natural outdoor light levels by a network of low-cost lightmeters. Developed to start simple, global continuous high cadence monitoring of night sky brightness and artificial night sky brightening (light pollution) in 2009. The lightmeter network is a project of the Thüringer Landessternwarte, Tautenburg, Germany and the Kuffner-Sternwarte society at the Kuffner-Observatory, Vienna, Austria. It started as part of the Dark Skies Awareness cornerstone of the International Year of Astronomy. Lightmeter Data Wuchterl, G.; The Lightmeter community astronomical-site-protection night-sky-brightness Many; you may obtain a list at http://lightmeter.astronomy2009.at This database of lightmeter measurements is made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/. Any rights in individual contents of the database are licensed under the Database Contents License: http://opendatacommons.org/licenses/dbcl/1.0/ http://lightmeter.astronomy2009.at 92x92 mm solar-cell in Aluminium frame with closed electronics protected for all-weather use. Optical uploads execDef.spawn("dachs --ui stingy" " imp --suppress-meta -c lightmeter/q add".split()) mod = utils.loadPythonModule(rd.getAbsPath("bin/coverageplot"))[0] mod.makePlot() Stations in the lightmeter network The calibration parameters are used to convert raw counts to actual fluxes using the formula:: Phi = c (b (a exp(n (1+dT)/a)-1)+n) where n is the raw count, T the instrument temperature and Phi is a flux in units of c.
The access keys for uploads.
Time-averaged lightmeter measurements
Lightmeter data by date and geographic position CREATE VIEW \curtable AS ( SELECT \colNames FROM \schema.measurements NATURAL JOIN \schema.stations)
vars.get("type", None) @stationId @epoch @flux @s_flux @nVals @srcKey csvGrammar txtGrammar skyglowGrammar stationId = os.path.split(os.path.split(sourceToken)[0])[1] if re.match("[0-9]+$", stationId): raise base.SkipThis("Archive directory") try: with base.getTableConn() as conn: stationPars = list(conn.query( "SELECT calibA, calibB, calibC, calibD, timeCorrection" " FROM lightmeter.stations" " WHERE stationId=%(stationId)s", locals()))[0] calibA, calibB, calibC, calibD, timeCorrection = stationPars except IndexError: raise base.ValidationError("No station data for %s. Import" " stationsdata first." %stationId, "stationId", stationId) if calibA is None: raise base.SkipThis("No calibration for %s."%stationId) srcKey = "/".join(utils.getRelativePath(sourceToken, base.getConfig("inputsDir"), liberalChars=True).split("/")[2:]) return locals() \inputRelativePath datetime.datetime.now() uploads Light pollution data upload facility `_ how this currently looks like for the lightmeter in Heidelberg). You will probably need some help to set this up -- please contact gavo@ari.uni-heidelberg.de as necessary. The necessary code is available from http://svn.ari.uni-heidelberg.de/svn/gavo/hdinputs/lightmeter/src, you want lightmeter.py and, unless you happen to have a local installation of python-libusb1, the usb1.py and libusb1.py modules. ]]> SELECT DISTINCT stationid, source, AVG(epoch) as meanEpoch FROM lightmeter.measurements %s GROUP BY stationId, source return T.a(href="././static/"+urllib.parse.quote(data))[ os.path.basename(data)] uploads Light Pollution Raw Data /lightmeter/q/weather/form This service delivers data collected by a network of lightmeters (see also the service info). Dates are given in as ranges of Julian Day numbers, e.g., ``2455124 +/- 2`` for two days around 2009-10-19 noon UTC, or ``2455124.45 .. 2455124.55`` for a centiday around midnight UTC 2009-10-19. This service serves uncalibrated, high-resolution raw measurements as delivered by the orginal instruments. See `Light Pollution Weather`_ for a more accessible way to query this data, and use ADQL_ possibly via TAP_, on the `lightmeter.measurements table`_ for more advanced queries. .. _ADQL: /adql .. _TAP: /tap .. _lightmeter.measurements table: /tableinfo/lightmeter.measurements .. _Light Pollution Weather: /lightmeter/q/weather 11 baseJD = dateTimeToJdn( datetime.datetime.combine(inPars["epoch"], inPars["time"])) dt = int(inPars["within"])*60/24./3600. yield "epoch BETWEEN %%(%s)s AND %%(%s)s"%( base.getSQLKey("epoch", baseJD-dt, outPars), base.getSQLKey("epoch", baseJD+dt, outPars)) static Light Pollution Weather lm weather {'xselIndex': 0, 'yselIndex':1} /lightmeter/q/data/form /lightmeter/q/stationplot/custom The following stations delivered data within the last 400 days (darker gray means more data points).

[Lightmeter Coverage]
]]> Light Pollution Station Plots Coverage for the last 400 days:

[Lightmeter Coverage] ]]> 50000 ik = inputKeys[0] yield "epoch>%%(%s)s"%base.getSQLKey(ik.name, stc.dateTimeToJdn(datetime.datetime.now())-inPars[ik.name], outPars) upload/static/ self.assertHasStrings("Directory listing", "[Directory]") 2009-12-03 18:04:30 1,8 581136 1 upload/custom/test/testing self.assertHasStrings("File zw.txt.gz uploaded, 65 bytes.") 2010-12-03 18:04:30 1,8 581136 1 upload/custom/test/testing self.assertHasStrings("File zw.txt.gz already exists.", "overwrite it, contact") DELETEDupload/custom/test/testing self.assertHasStrings("File zw.txt.gz removed.") DELETEDupload/custom/test/testing self.assertHasStrings( "'zw.txt.gz' does not exist and thus cannot be deleted.") upload/custom/test/testing self.assertHasStrings("File test.zip uploaded, 14 bytes.") upload/custom/test/testing self.assertHasStrings("could not be written: a.txt, b.txt;") DELETEDupload/custom/test/testing self.assertHasStrings("a.txt.gz removed") DELETEDupload/custom/test/testing self.assertHasStrings("b.txt.gz removed") weather/form self.assertHasStrings("log(Flux)", "5.5435") upload/custom/nonex/really self.assertHasStrings("404", "No such upload facility")