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Browse files- README.md +60 -0
- cities_snapshot.csv +85 -0
- cities_snapshot.parquet +3 -0
README.md
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---
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license: other
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license_name: mixed-open-data
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license_link: https://github.com/street1983nk/infranode-dataset/blob/master/out/LICENSES.md
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language:
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- de
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pretty_name: InfraNode German Cities Open-Data Snapshot
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tags:
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- germany
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- open-data
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- cities
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- air-quality
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- weather
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- geospatial
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size_categories:
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- n<1K
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configs:
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- config_name: default
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data_files: cities_snapshot.csv
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---
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# InfraNode German Cities Open-Data Snapshot
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Ein reproduzierbarer, offen lizenzierter Querschnitt von Infrastruktur- und
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Umweltdaten für 84+ deutsche Städte, erzeugt aus der öffentlichen
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[InfraNode-API](https://infranode.dev). Eine Zeile je Stadt.
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## Inhalt
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| Bereich | Felder | Quelle |
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| --- | --- | --- |
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| Stammdaten | `slug`, `name_de`, `state`, `ags`, `wikidata_qid`, `lat`, `lon`, `base_population`, `base_area_km2` | Wikidata (CC0) |
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| Wetter | `weather_temperature_c`, `weather_humidity`, `weather_condition` | DWD (GeoNutzV) |
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| Luftqualität | `air_uba_pm10`, `air_uba_pm25`, `air_uba_no2`, `air_uba_o3` | Umweltbundesamt (dl-de/by-2.0) |
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| Verkehr | `traffic_roadworks_count` | Autobahn GmbH / BASt (dl-de/by-2.0) |
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Es wurden ausschließlich Quellen mit offener Lizenz übernommen. Quellen mit
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unklarer Lizenz (OpenAQ) oder Share-Alike (OpenStreetMap/ODbL) sind bewusst
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ausgeschlossen.
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## Lizenz und Namensnennung
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Mischung offener Lizenzen, je Spalte dokumentiert. Pflicht-Namensnennung:
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- Wikidata (CC0)
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- Deutscher Wetterdienst, DWD (GeoNutzV)
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- Umweltbundesamt, UBA (dl-de/by-2.0)
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- Bundesanstalt für Straßenwesen / Autobahn GmbH (dl-de/by-2.0)
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## Reproduktion und Code
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Code, Sammel-Skript und eine täglich wachsende Zeitreihe:
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https://github.com/street1983nk/infranode-dataset
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## Zitation
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[](https://doi.org/10.5281/zenodo.20752355)
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> Cherif, K. (2026). InfraNode German Cities Open-Data Snapshot. Zenodo.
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> https://doi.org/10.5281/zenodo.20752355
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cities_snapshot.csv
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slug,name_de,state,ags,wikidata_qid,lat,lon,coverage,air_uba_no2,air_uba_pm10,air_uba_pm25,base_area_km2,base_population,traffic_roadworks_count,weather_condition,weather_humidity,weather_temperature_c
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berlin,Berlin,BE,11000000,Q64,52.52,13.405,full,,,,891.12,3782202,71,dry,56.0,28.0
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hamburg,Hamburg,HH,02000000,Q1055,53.5511,9.9937,full,,,,755.09,1910160,69,dry,67.0,24.5
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muenchen,München,BY,09162000,Q1726,48.1374,11.5755,full,,18.0,20.0,310.71,1510378,61,dry,45.0,27.9
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koeln,Köln,NW,05315000,Q365,50.9375,6.9603,full,,,,405.01,1087353,96,dry,48.0,31.6
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frankfurt-am-main,Frankfurt am Main,HE,06412000,Q1794,50.1109,8.6821,full,,,,248.31,775790,,dry,31.0,30.6
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stuttgart,Stuttgart,BW,08111000,Q1022,48.7758,9.1829,full,,,16.0,207.35,633484,,dry,36.0,30.6
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duesseldorf,Düsseldorf,NW,05111000,Q1718,51.2277,6.7735,full,,,,217.41,631217,,dry,49.0,30.0
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leipzig,Leipzig,SN,14713000,Q2079,51.3397,12.3731,full,64.0,10.0,21.0,297.8,619879,,dry,42.0,29.5
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dortmund,Dortmund,NW,05913000,Q1295,51.5136,7.4653,full,,,,280.71,595471,,dry,52.0,30.3
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essen,Essen,NW,05113000,Q2066,51.4556,7.0116,full,,16.0,16.0,210.34,586608,,dry,55.0,28.9
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bremen,Bremen,HB,04011000,Q24879,53.0793,8.8017,full,77.0,5.0,6.0,317.88,577026,,dry,52.0,28.0
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dresden,Dresden,SN,14612000,Q1731,51.0504,13.7373,full,,,,328.48,566222,,dry,49.0,27.9
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hannover,Hannover,NI,03241001,Q1715,52.3759,9.732,full,,,,204.15,548186,,dry,58.0,28.2
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nuernberg,Nürnberg,BY,09564000,Q2090,49.4521,11.0767,full,,,,186.45,526091,,dry,40.0,29.7
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duisburg,Duisburg,NW,05112000,Q2100,51.4344,6.7623,full,,,,232.8,503707,,dry,52.0,29.1
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bochum,Bochum,NW,05911000,Q2103,51.4818,7.2162,full,,,,145.66,366385,,dry,49.0,28.9
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wuppertal,Wuppertal,NW,05124000,Q2107,51.2562,7.1508,full,,11.0,29.0,168.39,358938,,dry,59.0,27.7
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bielefeld,Bielefeld,NW,05711000,Q2112,52.0302,8.5325,full,,,,258.82,338410,,dry,54.0,28.9
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bonn,Bonn,NW,05314000,Q586,50.7374,7.0982,full,,,,141.06,335789,,dry,52.0,29.1
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muenster,Münster,NW,05515000,Q2742,51.9607,7.6261,full,,,,,,,dry,55.0,29.2
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wiesbaden,Wiesbaden,HE,06414000,Q1721,50.0826,8.24,full,,,,203.93,285522,,dry,47.0,27.6
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kiel,Kiel,SH,01002000,Q1707,54.3233,10.1228,full,,,,118.65,248873,,dry,68.0,23.1
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mainz,Mainz,RP,07315000,Q1720,49.9929,8.2473,full,,,,97.73,222889,,dry,39.0,31.4
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magdeburg,Magdeburg,ST,15003000,Q1733,52.1205,11.6276,full,,13.0,32.0,201.01,240114,,dry,54.0,28.4
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erfurt,Erfurt,TH,16051000,Q1729,50.9787,11.0328,full,78.0,10.0,5.0,269.91,215199,,dry,44.0,28.6
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potsdam,Potsdam,BB,12054000,Q1711,52.3906,13.0645,full,,,,188.26,187119,,dry,61.0,26.0
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saarbruecken,Saarbrücken,SL,10041100,Q1724,49.2402,6.9969,full,108.0,16.0,5.0,167.52,183509,,dry,36.0,31.5
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schwerin,Schwerin,MV,13004000,Q1709,53.6355,11.4012,full,,,,130.52,98733,,dry,61.0,25.4
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aachen,Aachen,NW,05334002,Q1017,50.7762,6.0838,auto,,,,160.85,252769,,dry,55.0,28.4
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augsburg,Augsburg,BY,09761000,Q2749,48.3689,10.8978,auto,,20.0,31.0,146.87,303150,,dry,47.0,27.2
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bergisch-gladbach,Bergisch Gladbach,NW,05378004,Q3117,50.9917,7.1367,auto,,,,83.09,112660,,dry,48.0,28.8
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bottrop,Bottrop,NW,05512000,Q3069,51.5232,6.9253,auto,,,,100.61,118705,,dry,55.0,28.9
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braunschweig,Braunschweig,NI,03101000,Q2773,52.2692,10.5211,auto,,,,192.7,252066,,dry,57.0,28.2
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bremerhaven,Bremerhaven,HB,04012000,Q2706,53.55,8.5833,auto,,,,93.66,114677,,dry,66.0,23.2
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chemnitz,Chemnitz,SN,14511000,Q2795,50.8333,12.9167,auto,,,,221.05,250681,,dry,53.0,26.4
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cottbus,Cottbus,BB,12052000,Q3214,51.7608,14.3319,auto,,,,165.63,100010,,dry,45.0,29.0
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darmstadt,Darmstadt,HE,06411000,Q2973,49.8667,8.65,auto,,,,122.07,164792,,dry,49.0,28.9
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erlangen,Erlangen,BY,09562000,Q3126,49.5925,11.005,auto,,,,76.96,117806,,dry,41.0,30.1
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freiburg-im-breisgau,Freiburg im Breisgau,BW,08311000,Q2833,47.995,7.85,auto,,,,153.04,237244,,dry,40.0,31.2
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fuerth,Fürth,BY,09563000,Q3075,49.4783,10.9903,auto,,11.0,,63.35,132032,,dry,40.0,29.7
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gelsenkirchen,Gelsenkirchen,NW,05513000,Q2765,51.5103,7.0942,auto,,18.0,50.0,104.94,265885,,dry,49.0,28.9
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goettingen,Göttingen,NI,03159016,Q3033,51.5339,9.9356,auto,,,,116.93,120261,,dry,61.0,28.5
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guetersloh,Gütersloh,NW,05754008,Q3771,51.9,8.3833,auto,,,,112.02,102464,,dry,54.0,28.9
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hagen,Hagen,NW,05914000,Q2871,51.3594,7.475,auto,,,,160.45,190490,,dry,52.0,28.1
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halle-saale,Halle (Saale),ST,15002000,Q2814,51.4828,11.9697,auto,,,,135.03,242172,,dry,43.0,29.5
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hamm,Hamm,NW,05915000,Q2880,51.6814,7.8192,auto,,,,226.43,180761,,dry,50.0,29.9
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hanau,Hanau,HE,06435014,Q3802,50.1328,8.9169,auto,149.0,11.0,7.0,76.47,103184,,dry,29.0,32.5
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heidelberg,Heidelberg,BW,08221000,Q2966,49.4122,8.71,auto,,,,108.89,162960,,dry,36.0,31.7
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heilbronn,Heilbronn,BW,08121000,Q715,49.1404,9.218,auto,,,,99.89,130093,,dry,42.0,30.0
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herne,Herne,NW,05916000,Q2904,51.5426,7.219,auto,,,,51.42,157896,,dry,49.0,28.9
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| 52 |
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hildesheim,Hildesheim,NI,03254021,Q3185,52.15,9.95,auto,,12.0,28.0,92.29,102325,,dry,54.0,28.7
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ingolstadt,Ingolstadt,BY,09161000,Q3004,48.7631,11.425,auto,,,,133.35,142308,,dry,59.0,25.5
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| 54 |
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jena,Jena,TH,16053000,Q3150,50.9272,11.5864,auto,,,,114.76,109353,,dry,44.0,29.0
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| 55 |
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kaiserslautern,Kaiserslautern,RP,07312000,Q3758,49.4447,7.7689,auto,99.0,4.0,5.0,139.7,101486,,dry,35.0,31.4
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| 56 |
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karlsruhe,Karlsruhe,BW,08212000,Q1040,49.0167,8.4,auto,,19.0,16.0,173.42,309964,,dry,27.0,32.9
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| 57 |
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kassel,Kassel,HE,06611000,Q2865,51.3158,9.4979,auto,,16.0,40.0,106.78,204687,,dry,52.0,27.3
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| 58 |
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koblenz,Koblenz,RP,07111000,Q3104,50.3597,7.5978,auto,,,,105.25,115298,,dry,34.0,32.1
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| 59 |
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krefeld,Krefeld,NW,05114000,Q2805,51.3333,6.5667,auto,,,,137.77,228550,,dry,52.0,30.6
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| 60 |
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leverkusen,Leverkusen,NW,05316000,Q2938,51.0333,6.9833,auto,99.0,10.0,6.0,78.87,175300,,dry,48.0,27.7
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ludwigshafen-am-rhein,Ludwigshafen am Rhein,RP,07314000,Q2910,49.4811,8.4353,auto,,,,77.43,176110,,dry,36.0,31.7
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| 62 |
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luebeck,Lübeck,SH,01003000,Q2843,53.8697,10.6864,auto,,,,214.21,219044,,dry,62.0,25.1
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| 63 |
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mannheim,Mannheim,BW,08222000,Q2119,49.4878,8.4661,auto,,16.0,27.0,144.97,316877,,dry,36.0,31.7
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| 64 |
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moenchengladbach,Mönchengladbach,NW,05116000,Q2758,51.2,6.4333,auto,,,,170.47,268943,,dry,67.0,29.0
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moers,Moers,NW,05170024,Q3132,51.4592,6.6197,auto,,,,67.68,105606,,dry,52.0,29.1
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| 66 |
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muelheim-an-der-ruhr,Mülheim an der Ruhr,NW,05117000,Q2899,51.4275,6.8825,auto,,,,91.28,173255,,dry,55.0,28.9
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| 67 |
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neuss,Neuss,NW,05162024,Q2948,51.2003,6.6939,auto,,,,,,,dry,49.0,30.0
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| 68 |
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oberhausen,Oberhausen,NW,05119000,Q2838,51.4699,6.8514,auto,,16.0,41.0,77.09,211099,,dry,55.0,28.9
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| 69 |
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offenbach-am-main,Offenbach am Main,HE,06413000,Q3042,50.1,8.7667,auto,,,,44.88,135490,,dry,35.0,30.4
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| 70 |
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oldenburg,Oldenburg,NI,03403000,Q2936,53.1439,8.2139,auto,,12.0,29.0,103.09,174629,,dry,64.0,26.6
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| 71 |
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osnabrueck,Osnabrück,NI,03404000,Q2916,52.2789,8.0431,auto,,,,119.8,166960,,dry,59.0,26.6
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| 72 |
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paderborn,Paderborn,NW,05774032,Q2971,51.7167,8.7667,auto,,,,179.59,155749,,dry,56.0,28.9
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| 73 |
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pforzheim,Pforzheim,BW,08231000,Q3046,48.8909,8.703,auto,,,,98.07,128992,,dry,49.0,28.8
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| 74 |
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recklinghausen,Recklinghausen,NW,05562032,Q3050,51.6167,7.2,auto,,,,66.5,111693,,dry,49.0,28.9
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| 75 |
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regensburg,Regensburg,BY,09362000,Q2978,49.0167,12.0833,auto,,15.0,27.0,80.85,159465,,dry,43.0,28.5
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| 76 |
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remscheid,Remscheid,NW,05120000,Q3097,51.1799,7.1944,auto,,,,74.52,112970,,dry,59.0,27.7
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| 77 |
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reutlingen,Reutlingen,BW,08415061,Q3085,48.4833,9.2167,auto,,15.0,40.0,87.04,118528,,dry,40.0,30.6
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| 78 |
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rostock,Rostock,MV,13003000,Q2861,54.0833,12.1333,auto,,,,181.36,210795,,dry,62.0,22.7
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| 79 |
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salzgitter,Salzgitter,NI,03102000,Q3200,52.1503,10.3593,auto,,,,224.49,105039,,dry,57.0,28.2
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| 80 |
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siegen,Siegen,NW,05970040,Q3167,50.8756,8.0167,auto,,,,114.69,102114,,dry,52.0,25.9
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| 81 |
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solingen,Solingen,NW,05122000,Q2942,51.1719,7.0847,auto,,,,89.54,161545,,dry,59.0,27.7
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| 82 |
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trier,Trier,RP,07211000,Q3138,49.7557,6.6394,auto,,15.0,14.0,117.07,112737,,dry,37.0,30.3
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| 83 |
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ulm,Ulm,BW,08421000,Q3012,48.3986,9.9911,auto,,,,118.68,129942,,dry,43.0,27.7
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| 84 |
+
wolfsburg,Wolfsburg,NI,03103000,Q3014,52.4231,10.7872,auto,,,,204.61,127256,,dry,58.0,28.4
|
| 85 |
+
wuerzburg,Würzburg,BY,09663000,Q2999,49.7944,9.9294,auto,,,,87.66,132215,,dry,35.0,30.5
|
cities_snapshot.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a85b51fc2487f0fac6b4627d78fa44b61d03b09f75430c989195a6ad0b9389e2
|
| 3 |
+
size 16748
|