de: personenwagen kantonzuerich motorfahrzeugbestand motorfahrzeuge fahrzeuge bezirke gemeinden privatverkehr

de: Personenwagen pro 1000 Einwohner [Anz.]

de: Am 30. September eingelöste Personenwagen, geteilt durch die Bevölkerung in Tausend. Der Wert wird auch Motorisierungsgrad genannt. Hinweis: Der Wert für den ganzen Kanton umfasst alle Autos mit einem Zürcher Kennzeichen; diese können auch Personen oder Unternehmen gehören, die ihr Domizil nicht im Kanton Zürich haben.

fahrzeuge

display_name: fahrzeuge

motorfahrzeugbestand

display_name: motorfahrzeugbestand

motorfahrzeuge

display_name: motorfahrzeuge

personenwagen

display_name: personenwagen

privatverkehr

display_name: privatverkehr

mobility

de: Mobilität und Verkehr


maintainer: Statistisches Amt des Kantons Zürich, Data Shop

de: arbeitsmarkt kantonzuerich beschaeftigte gemeinden bezirke beschaeftigungsgrad landwirtschaft

state: active

type: dataset

de: Anteil Vollzeitbeschäftigte Landwirtschaft [%]

media_type: text/csv

format: CSV

mimetype: text/csv

de: Vollzeit: >= 75 Prozent

arbeitsmarkt

display_name: arbeitsmarkt

beschaeftigte

display_name: beschaeftigte

beschaeftigungsgrad

display_name: beschaeftigungsgrad

bezirke

display_name: bezirke

gemeinden

display_name: gemeinden

kantonzuerich

display_name: kantonzuerich

landwirtschaft

display_name: landwirtschaft

agriculture

fr: Agriculture, sylviculture

de: Land- und Forstwirtschaft

en: Agriculture, forestry

it: Agricoltura, selvicoltura

statistisches-amt-kanton-zuerich

de: Statistisches Amt Kanton Zürich

de: Das Statistische Amt ist das Kompetenzzentrum für die öffentliche Statistik im Kanton Zürich. Wir versorgen Bevölkerung, Verwaltung, Politik, Gemeinden, Medien, Firmen und sonstige Organisationen mit qualitativ hochstehenden Daten, Informationen und Fakten zum Kanton Zürich. Inhaltlich arbeiten wir unabhängig und objektiv.

political_level: canton

kanton-zuerich

capacity: public

type: organization

approval_status: approved

key: guid

key: uri

value: ZH-Kt Statistisches Amt - DCAT Harvester


nrw-wahleranteil-evp

title_for_slug: nrw-wahleranteil-evp

name: Statistisches Amt des Kantons Zürich, Data Shop

de: kantonzuerich wahlen gemeinden bezirke parteien politik kantonsratswahlen

de: NRW Wähleranteil EVP [%]

de: Wähleranteil EVP bei Nationalratswahlen. Hinweis: 2015 werden alle Auslandschweizer zur Stadt Zürich gezählt.

kantonsratswahlen

display_name: kantonsratswahlen

parteien

display_name: parteien

politik

display_name: politik

wahlen

display_name: wahlen

politics

fr: Politique

de: Politik

en: Politics

it: Politica


bauinvestitionen-mio-fr

title_for_slug: bauinvestitionen-mio-fr

de: gemeinden kantonzuerich bautaetigkeit bauinvestitionen bezirke

de: Bauinvestitionen [Mio.Fr.]

de: Bauinvestitionen von Bautätigkeiten mit Investitionscharakter, die einer behördlichen Bewilligung bedürfen

bauinvestitionen

display_name: bauinvestitionen

bautaetigkeit

display_name: bautaetigkeit

construction

fr: Construction, logement

de: Bau- und Wohnungswesen

en: Construction and housing

it: Costruzione e abitazione


de: hotellerie bezirke gemeinden betten kantonzuerich

de: Hotelbetten pro 1000 Einwohner [Anz.]

de: Anzahl Hotelbetten pro 1000 Einwohner (Bevölkerungsbestand Ende des Vorjahr); Hotelbetten Stand im Juni des Erhebungsjahres. Daten des aktuellsten Jahres sind provisorisch! Daten des Jahres 2004 aus der Erhebung der Statistischen Ämter von Stadt und Kanton Zürich, da das BFS 2004 keine Erhebung duchgeführt hat.

betten

display_name: betten

hotellerie

display_name: hotellerie

industry

fr: Industrie, services

de: Industrie, Dienstleistungen

en: Industry and services

it: Industria, servizi


de: bevoelkerungswachstum bezirke kantonzuerich bevoelkerung gemeinden

de: Bevölkerungszunahme 1 Jahr [%]

de: Veränderung der Einwohnerzahl (zivilrechtlicher Wohnsitz) gegenüber dem Vorjahr in Prozent. Wert für 1970 aus der Volkszählung (wirtschaftl. Wohnsitz), da keine kant. Erhebung stattgefunden hat.

bevoelkerung

display_name: bevoelkerung

bevoelkerungswachstum

display_name: bevoelkerungswachstum

population

fr: Population

de: Bevölkerung

en: Population

it: Popolazione


zahnarzte-anz

title_for_slug: zahnarzte-anz

de: gesundheit zahnaerzte kantonzuerich zahnaerztinnen gemeinden bezirke

de: Zahnärzte [Anz.]

de: Definition: Zahnärzte, welche eine Bewilligung zur selbständigen Berufsübung haben, jeweils am Ende eines Kalenderjahres. Für 1993 und 2003 keine Zahlen vorhanden. Aktuellstes Jahr provisorisch.

gesundheit

display_name: gesundheit

zahnaerzte

display_name: zahnaerzte

zahnaerztinnen

display_name: zahnaerztinnen

health

fr: Santé

de: Gesundheit

en: Health

it: Sanità

statistisches-amt-kanton-zuerich

de: Statistisches Amt Kanton Zürich

de: Das Statistische Amt ist das Kompetenzzentrum für die öffentliche Statistik im Kanton Zürich. Wir versorgen Bevölkerung, Verwaltung, Politik, Gemeinden, Medien, Firmen und sonstige Organisationen mit qualitativ hochstehenden Daten, Informationen und Fakten zum Kanton Zürich. Inhaltlich arbeiten wir unabhängig und objektiv.


de: kantonzuerich steuerertrag politischegemeinden gemeindefinanzen bezirke gemeinden steuern schulgemeinden

de: Steuerertrag politische / Schulgemeinde (Nettoertrag Rechnungsjahr).

bezirke

display_name: bezirke

gemeindefinanzen

display_name: gemeindefinanzen

politischegemeinden

display_name: politischegemeinden

schulgemeinden

display_name: schulgemeinden

steuerertrag

display_name: steuerertrag

steuern

display_name: steuern

national-economy

fr: Economie nationale

de: Volkswirtschaft

en: National economy

it: Economia


de: flaeche bezirke gemeinden bevoelkerung kantonzuerich bevoelkerungsdichte

de: Bevölkerungsdichte [Einw./km2]

de: Bevölkerung pro Gemeindefläche [Einwohner pro Quadratkilometer]

bevoelkerungsdichte

display_name: bevoelkerungsdichte

flaeche

display_name: flaeche

gemeinden

display_name: gemeinden

kantonzuerich

display_name: kantonzuerich


geb-vol-wohnen-anteil

title_for_slug: geb-vol-wohnen-anteil

de: kantonzuerich gebaeude gemeinden gebaeudeart bezirke bautaetigkeit

de: Geb.Vol. Wohnen: Anteil [%]

de: Approximatives Gebäudevolumen von Wohnbauten (exkl. Anteil Fremdnutzungen in Wohnbauten)

bautaetigkeit

display_name: bautaetigkeit

gebaeude

display_name: gebaeude

gebaeudeart

display_name: gebaeudeart

construction

de: Bau- und Wohnungswesen


de: bezirke kantonzuerich steuerbareseinkommen natuerlichepersonen gemeinden

de: Ø steuerbares Einkommen natürliche Pers. [Fr.]

de: Durchschnittliches steuerbares Einkommen ordentlich besteuerter natürlichen Personen (exkl. Quellensteuerpflichtige und ausserhalb des Kt. wohnhafte). Hinweis: Sehr hohe Beträge einiger weniger Steuerpflichtigen wirken sich entsprechend stark auf den Mittelwert aus. Bis 1998: Reineinkommen.

natuerlichepersonen

display_name: natuerlichepersonen

steuerbareseinkommen

display_name: steuerbareseinkommen


kapitaldienstanteil

title_for_slug: kapitaldienstanteil

de: gemeindefinanzen bezirke gemeinden oeffentlichefinanzen kantonzuerich

de: Kapitaldienstanteil [%]

de: Kapitaldienst in Prozent vom laufenden Ertrag. Der Kapitaldienstanteil gibt Auskunft, in welchem Ausmass der laufende Ertrag durch den Zinsendienst und die Abschreibungen belastet ist. Ein hoher Kapitaldienstanteil weist auf einen enger werdenden finanziellen Spielraum hin. Grundlage ist die Konsolidierte Gemeinde. Der Haushalt der Schulgemeinde wird dabei anteilsmässig in den Haushalt der poltischen Gemeinden umgelegt. Umstellung des Rechnungsmodells von HRM1 auf HRM2 ab Rechnungsjahr 2019.

oeffentlichefinanzen

display_name: oeffentlichefinanzen


de: steuerbaresvermoegen gemeinden steuern kantonzuerich natuerlichepersonen bezirke

de: Ø steuerbares Vermögen natürliche Pers. [1000 Fr.]

de: Durchschnittliches steuerbares Vermögen ordentlich besteuerter natürlichen Personen (exkl. Quellensteuerpflichtige und ausserhalb des Kt. wohnhafte).  Hinweis: Sehr hohe Beträge einiger weniger Steuerpflichtigen wirken sich entsprechend stark auf den Mittelwert aus. Bis 1998: Reinvermögen.

steuerbaresvermoegen

display_name: steuerbaresvermoegen

statistisches-amt-kanton-zuerich

de: Statistisches Amt Kanton Zürich

de: Das Statistische Amt ist das Kompetenzzentrum für die öffentliche Statistik im Kanton Zürich. Wir versorgen Bevölkerung, Verwaltung, Politik, Gemeinden, Medien, Firmen und sonstige Organisationen mit qualitativ hochstehenden Daten, Informationen und Fakten zum Kanton Zürich. Inhaltlich arbeiten wir unabhängig und objektiv.


leerwohnungsquote

title_for_slug: leerwohnungsquote

de: leerwohnungen gemeinden bezirke wohnungsbestand kantonzuerich wohnungen

de: Leerwohnungsquote [%]

de: Leerstehende Wohnungen am 1. Juni des Erhebungsjahres, gemessen am Wohnungsbestand

bezirke

display_name: bezirke

leerwohnungen

display_name: leerwohnungen

wohnungen

display_name: wohnungen

wohnungsbestand

display_name: wohnungsbestand


de: kantonzuerich bautaetigkeit industrie bauinvestitionen gemeinden bezirke gebaeudeart

de: Bauinv. Industr./Lager 5 Jahre [Fr./Einw.]

de: Durchschnittliche Bauinvestitionen der letzten 5 Jahre im Bereich Industrie und Lager (Bauinv. für Industrie- und Lagergebäude), in Franken pro Einwohner.

bauinvestitionen

display_name: bauinvestitionen

industrie

display_name: industrie


kuhe-anz

title_for_slug: kuhe-anz

de: gemeinden bezirke

de: Kühe [Anz.]

de: Anzahl Kühe

agriculture

de: Land- und Forstwirtschaft


altersquotient

title_for_slug: altersquotient

de: kantonzuerich bezirke alter altersstruktur bevoelkerung gemeinden

de: Altersquotient [%]

de: Quantitatives Verhältnis zwischen den über 64-Jährigen und den 20- bis 64-Jährigen.

alter

display_name: alter

altersstruktur

display_name: altersstruktur

bevoelkerung

display_name: bevoelkerung

population

de: Bevölkerung


personenwagen-anz

title_for_slug: personenwagen-anz

de: fahrzeuge motorfahrzeugbestand personenwagen kantonzuerich motorfahrzeuge privatverkehr gemeinden bezirke

de: Personenwagen [Anz.]

de: Am 30. September eingelöste Personenwagen. Hinweis: Der Wert für den ganzen Kanton umfasst alle Autos mit einem Zürcher Kennzeichen; diese können auch Personen oder Unternehmen gehören, die ihr Domizil nicht im Kanton Zürich haben.

fahrzeuge

display_name: fahrzeuge

gemeinden

display_name: gemeinden

kantonzuerich

display_name: kantonzuerich

motorfahrzeugbestand

display_name: motorfahrzeugbestand

motorfahrzeuge

display_name: motorfahrzeuge

personenwagen

display_name: personenwagen

privatverkehr

display_name: privatverkehr

mobility

fr: Mobilité et transports

de: Mobilität und Verkehr

en: Mobility and Transport

it: Mobilità e trasporti


nettoinvestitionen-fr-einw

title_for_slug: nettoinvestitionen-fr-einw

de: bezirke gemeinden oeffentlichefinanzen nettoinvestitionen kantonzuerich finanzkennzahlen gemeindefinanzen

de: Nettoinvestitionen [Fr./Einw.]

de: Nettoinvestitionen pro Einwohner. Überschuss der Investitionsausgaben über die Investitionseinnahmen, welche die Gemeinde aus eigenen oder fremden Mitteln decken muss. Massgrösse für die Investitionstätigkeit. Grundlage ist die Konsolidierte Gemeinde. Der Haushalt der Schulgemeinde wird dabei anteilsmässig in den Haushalt der poltischen Gemeinden umgelegt. Umstellung des Rechnungsmodells von HRM1 auf HRM2 ab Rechnungsjahr 2019.

finanzkennzahlen

display_name: finanzkennzahlen

gemeindefinanzen

display_name: gemeindefinanzen

nettoinvestitionen

display_name: nettoinvestitionen

oeffentlichefinanzen

display_name: oeffentlichefinanzen

national-economy

de: Volkswirtschaft

statistisches-amt-kanton-zuerich

de: Statistisches Amt Kanton Zürich

de: Das Statistische Amt ist das Kompetenzzentrum für die öffentliche Statistik im Kanton Zürich. Wir versorgen Bevölkerung, Verwaltung, Politik, Gemeinden, Medien, Firmen und sonstige Organisationen mit qualitativ hochstehenden Daten, Informationen und Fakten zum Kanton Zürich. Inhaltlich arbeiten wir unabhängig und objektiv.


nrw-wahleranteil-al

title_for_slug: nrw-wahleranteil-al

de: politik kantonzuerich nationalratswahlen gemeinden bezirke parteien wahlen

de: NRW Wähleranteil AL [%]

de: Wähleranteil AL bei Nationalratswahlen. Hinweis: 2015 werden alle Auslandschweizer zur Stadt Zürich gezählt.

bezirke

display_name: bezirke

nationalratswahlen

display_name: nationalratswahlen

parteien

display_name: parteien

politik

display_name: politik

wahlen

display_name: wahlen

politics

de: Politik


de: kantonzuerich altersstruktur alter gemeinden bezirke bevoelkerung

de: Bevölkerung: Anteil 80 u.m.-Jährige [%]

de: Anteil 80-Jähriger und älterer Personen an der Gesamtbevölkerung nach zivilrechtlichem Wohnsitz (ab 2010 inkl. vorläufig Aufgenommene,die seit mehr als einem Jahr in der Gemeinde leben, aber ohne Wochenaufenthalter und Asylbewerber).

alter

display_name: alter

altersstruktur

display_name: altersstruktur

bevoelkerung

display_name: bevoelkerung


landwirtschaftliche-nutzflache-ha

title_for_slug: landwirtschaftliche-nutzflache-ha

de: bezirke gemeinden nutzflaeche flaeche landwirtschaft kantonzuerich

de: Landwirtschaftliche Nutzfläche [ha]

de: Landwirtschaftliche Nutzfläche gemäss landwirtschaftlicher Betriebszählung

flaeche

display_name: flaeche

gemeinden

display_name: gemeinden

kantonzuerich

display_name: kantonzuerich

landwirtschaft

display_name: landwirtschaft

nutzflaeche

display_name: nutzflaeche

agriculture

de: Land- und Forstwirtschaft


total-ordentlich-besteuerte-anz

title_for_slug: total-ordentlich-besteuerte-anz

de: steuerpflichtige gemeinden bezirke kantonzuerich oeffentlichefinanzen

de: Total ordentlich Besteuerte [Anz.]

de: Ordentlich besteuerte natürliche Personen

steuerpflichtige

display_name: steuerpflichtige


auslanderanteil

title_for_slug: auslanderanteil

de: gemeinden bezirke bevoelkerungsstatistik bevoelkerung kantonzuerich auslaender

de: Ausländeranteil [%]

de: Ausländeranteil in Prozent der Gesamtbevölkerung (zivilrechtlicher Wohnsitz; ab 2010 inkl. vorläufig Aufgenommene, die über einem Jahr in der Gemeinde leben, aber ohne Wochenaufenthalter und Asylbewerber).

auslaender

display_name: auslaender

bevoelkerungsstatistik

display_name: bevoelkerungsstatistik

population

de: Bevölkerung


name: Statistisches Amt des Kantons Zürich, Wahlen & Abstimmungen

label: Webservices für Echtzeit-Ergebnisse am Abstimmungssonntag (Bundesamt für Statistik)

de: Abstimmungssonntag vom 07.03.2021

media_type: application/json

de: Eidgenössische Vorlagen: 1. Volksinitiative «Ja zum Verhüllungsverbot»; 2. Bundesgesetz über elektronische Identifizierungsdienste (E-ID-Gesetz); 3. Wirtschaftspartnerschaftsabkommen mit Indonesien; Kantonale Vorlagen: 1. Änderung der Kantonsverfassung; Anpassung Grenzwerte; 2. Änderung des Sozialhilfegesetzes (SHG); 3. Volksinitiative «Bei Polizeimeldungen sind die Nationalitäten anzugeben» und Gegenvorschlag des Kantonsrates; Änderung des Polizeigesetzes (PolG)

format: JSON

mimetype: application/json

de: Abstimmungssonntag vom 13.06.2021

de: Eidgenössische Vorlagen: 1. Volksinitiative für sauberes Trinkwasser und gesunde Nahrung; 2. Volksinitiative «Für eine Schweiz ohne synthetische Pestizide»; 3. Covid-19-Gesetz; 4. CO2-Gesetz; 5.  Bundesgesetz über polizeiliche Massnahmen zur Bekämpfung von Terrorismus (PMT); Kantonale Vorlagen: 1. Einführungsgesetz zum Bundesgesetz über Geldspiele (EG BGS) (vom 16. November 2020); 2. Kantonale Volksinitiative «Raus aus der Prämienfalle; 3. Kantonale Volksinitiative «Mehr Geld für Familien»

de: Dieser Webservice wird ab dem 13.06.2021 nicht weiter aktualisiert. Gemeinde- und Bezirksresultate des Kantons Zürich zu eidgenössischen und kantonalen Vorlagen sind künftig zusammen mit jenen aller Kantone via Bundesamt für Statistik als offene Daten verfügbar (Link unter "Weitere Informationen").

abstimmungen

display_name: abstimmungen

abstimmungsergebnisse

display_name: abstimmungsergebnisse

statistisches-amt-kanton-zuerich

de: Statistisches Amt Kanton Zürich

de: Das Statistische Amt ist das Kompetenzzentrum für die öffentliche Statistik im Kanton Zürich. Wir versorgen Bevölkerung, Verwaltung, Politik, Gemeinden, Medien, Firmen und sonstige Organisationen mit qualitativ hochstehenden Daten, Informationen und Fakten zum Kanton Zürich. Inhaltlich arbeiten wir unabhängig und objektiv.

de: Echtzeitdaten am Abstimmungstag des Kantons Zürich – eidgenössische und kantonale Vorlagen


steuerfuss-juristische-personen

title_for_slug: steuerfuss-juristische-personen

de: gemeinden steuern steuerfuss gemeindesteuerfuesse gemeindesteuern kantonzuerich

de: Steuerfuss juristische Personen [%]

de: Steuerfuss für juristische Personen. Details zu angewendeten Steuerfüssen sind direkt bei den jeweiligen Gemeinden einzuholen.

gemeindesteuerfuesse

display_name: gemeindesteuerfuesse

gemeindesteuern

display_name: gemeindesteuern

steuerfuss

display_name: steuerfuss

steuern

display_name: steuern

national-economy

de: Volkswirtschaft


de: kantonzuerich bevoelkerung gemeinden haushalt-typ bezirke haushaltsgroesse haushalte

de: Anteil 4-Personenhaushalte [%]

de: Anteil Vierpersonenhaushalte an allen Privathaushalten

bezirke

display_name: bezirke

haushalt-typ

display_name: haushalt-typ

haushalte

display_name: haushalte

haushaltsgroesse

display_name: haushaltsgroesse


vza-im-primarsektor-anz

title_for_slug: vza-im-primarsektor-anz

de: kantonzuerich landwirtschaft beschaeftigte wirtschaftssektor arbeitsmarkt gemeinden bezirke

de: VZÄ im Primärsektor [Anz.]

de: Beschäftigung des Primärsektors (Land- und Forstwirtschaft) in Vollzeitäquivalenten. Aktuellstes Jahr provisorisch.  Ab 2015 Berechnung mit neuem Modell, was in Bezug auf die VZÄ zu einem Bruch in der Zeitreihe zwischen 2014 und 2015 führt. Werte < 4 werden nicht ausgewiesen.

arbeitsmarkt

display_name: arbeitsmarkt

beschaeftigte

display_name: beschaeftigte

gemeinden

display_name: gemeinden

wirtschaftssektor

display_name: wirtschaftssektor

work

fr: Travail, rémunération

de: Arbeit, Erwerb

en: Work and income

it: Lavoro e reddito


de: nettoaufwendungen gemeindesteuern kantonzuerich gemeindefinanzen gemeinden bezirke steuern oeffentlichefinanzen

de: Nettoaufwand Finanzen und Steuern [Fr./Einw.]

de: Bruttoaufwand - Bruttoertrag (der Laufenden Rechnung). Aussage: Durch Steuern zu finanzierender Anteil des betreffenden Hauptaufgabenbereichs. Grundlage ist die Konsolidierte Gemeinde. Der Haushalt der Schulgemeinde wird dabei anteilsmässig in den Haushalt der poltischen Gemeinden umgelegt. Umstellung des Rechnungsmodells von HRM1 auf HRM2 ab Rechnungsjahr 2019.

gemeindefinanzen

display_name: gemeindefinanzen

kantonzuerich

display_name: kantonzuerich

nettoaufwendungen

display_name: nettoaufwendungen

oeffentlichefinanzen

display_name: oeffentlichefinanzen


de: gemeindefinanzen natuerlichepersonen kantonzuerich bezirke gemeinden steuern steuerertrag

de: Steuerertrag von natürlichen Personen [Mio.Fr.]

de: Steuerertrag natürliche Personen (Nettoertrag Rechnungsjahr).

natuerlichepersonen

display_name: natuerlichepersonen

steuerertrag

display_name: steuerertrag

statistisches-amt-kanton-zuerich

de: Statistisches Amt Kanton Zürich


altpapiermengen-tonnen

title_for_slug: altpapiermengen-tonnen

de: altpapier kantonzuerich gemeinden recycling bezirke

de: Altpapiermengen [Tonnen]

de: Altpapiermengen aus kommunaler Sammlung von Industrie und Privathaushalten. Wo keine Angabe vorhanden sind, wird Papier zusammen mit Karton gesammelt.

altpapier

display_name: altpapier

recycling

display_name: recycling

territory

fr: Territoire et environnement

de: Raum und Umwelt

en: Territory and environment

it: Territorio e ambiente

de: Das Statistische Amt ist das Kompetenzzentrum für die öffentliche Statistik im Kanton Zürich. Wir versorgen Bevölkerung, Verwaltung, Politik, Gemeinden, Medien, Firmen und sonstige Organisationen mit qualitativ hochstehenden Daten, Informationen und Fakten zum Kanton Zürich. Inhaltlich arbeiten wir unabhängig und objektiv.


schul-berufsschule-anz

title_for_slug: schul-berufsschule-anz

de: berufsschule kantonzuerich schuelerinnen schulen bezirke schueler gemeinden

de: Schül. Berufsschule [Anz.]

de: Anzahl BerufsschülerInnen (nach Wohnort)

berufsschule

display_name: berufsschule

schueler

display_name: schueler

schuelerinnen

display_name: schuelerinnen

schulen

display_name: schulen

education

fr: Education, science

de: Bildung, Wissenschaft

en: Education and science

it: Formazione e scienza


de: haushalte haushalt-typ haushaltsgroesse bevoelkerung kantonzuerich gemeinden bezirke

de: Anteil 3-Personenhaushalte [%]

de: Anteil Dreipersonenhaushalte an allen Privathaushalten

bevoelkerung

display_name: bevoelkerung

bezirke

display_name: bezirke

haushalt-typ

display_name: haushalt-typ

haushalte

display_name: haushalte

haushaltsgroesse

display_name: haushaltsgroesse

population

de: Bevölkerung


de: bezirke mietwohnungen wohnungen kantonzuerich gemeinden

label: Zahlen zum gemeinnützigen Wohnungsbau (BWO)

de: Anteil Gemeinnützige Wohnungen [%]

de: Anteil Wohnungen (am Gesamtwohnungsbestand) in Gebäuden, die dem gemeinnützigen Sektor zuzuordnen sind. Das Bundesamt für Wohnungswesen (BWO), das die Daten erhebt, schätzt, dass rund 90 Prozent aller sich im Besitz des gemeinnützigen Sektors befindlichen Wohnungen erfasst werden. Nicht erfasst werden Wohnungen in Gebäuden in direktem kommunalen Besitz (in der Stadt Zürich zum Beispiel die städtischen Wohnungen). Es ist nicht zulässig, die jährliche Veränderung des Indikators als reale Zu- bzw. Abnahme des gemeinnützigen Wohnungsbestandes zu interpretieren, weil die Datengrundlage nur alle fünf Jahre systematisch aktualisiert wird. Insbesondere grosse Veränderungen sind in der Regel der nachträglichen Erfassung von Gebäuden geschuldet.

gemeinden

display_name: gemeinden

mietwohnungen

display_name: mietwohnungen

wohnungen

display_name: wohnungen

construction

de: Bau- und Wohnungswesen

social-security

fr: Protection sociale

de: Soziale Sicherheit

en: Social security

it: Sicurezza sociale

de: Anteil Gemeinnützige Wohnungen in Gemeinden des Kantons Zürich [%]


staatsquote-des-kantons-zurich

title_for_slug: staatsquote-des-kantons-zurich

name: Finanzverwaltung des Kantons Zürich, Steuerung Finanzhaushalt

label: Regierungsratsbeschluss Nr. 373/2022

label: Geschäftsbericht & Rechnung (Teil III: Finanzbericht)

de: Staatsquote des Kantons Zürich ab 2008

de: Variabeln: 'gesamtausgaben' und 'bruttoinlandprodukt' in Tausend CHF.

de: Die Staatsquote entspricht den «konsolidierten Gesamtausgaben» in Prozent des kantonalen Bruttoinlandprodukts (BIP). Die «konsolidierten Gesamtausgaben» umfassen die Ausgaben (Aufwand ohne Abschreibungen, Einlagen in Bestandeskonti von Fonds im Eigen- und Fremdkapital, durchlaufende Beiträge und interne Verrechnungen) plus Bruttoinvestitionen. Die konsolidierten Gesamtausgaben werden durch die Eidgenössischen Finanzverwaltung (EFV) berechnet. Das BIP des Kantons Zürich wird vom Bundesamt für Statistik (BFS) berechnet. Beide Wirtschaftsindikatoren werden mit einer zeitlichen Verzögerung von zwei Jahren veröffentlicht. Vorliegend wird die Staatsquote des Kantons ohne Gemeinden ausgewiesen. Für die interkantonale Vergleichbarkeit müsste die Staatsquote des Kantons und seiner Gemeinden betrachtet werden, aufgrund der je nach Kanton unterschiedlichen Aufgabenteilungen zwischen Kanton und Gemeinden.

finanzkennzahlen

display_name: finanzkennzahlen

oeffentlichefinanzen

display_name: oeffentlichefinanzen

staatsfinanzen

display_name: staatsfinanzen

national-economy

de: Volkswirtschaft

finanzverwaltung-kanton-zuerich

de: Finanzverwaltung Kanton Zürich

de: Der Kanton Zürich hat, nach dem Bund, den zweitgrössten öffentlichen Haushalt der Schweiz. Die Finanzverwaltung ist verantwortlich für die Planung, Führung und Überwachung dieses Finanzhaushalts. Sie erstellt das Budget und den Jahresabschluss der kantonalen Verwaltung und publiziert den Geschäftsbericht. Zudem übernimmt sie das operative Rechnungswesen und sichert mit der Tresorie die Zahlungsbereitschaft des Kantons. Die Finanzverwaltung bildet die finanzielle Schnittstelle zum Bund und den anderen Kantonen, beispielsweise für den nationalen Finanzausgleich.

value: ZH-Kt Finanzverwaltung - DCAT Harvester

de: Staatsquote des Kantons Zürich


de: gemeindefinanzen schulgemeinden gemeinden bezirke kantonzuerich steuern gemeindesteuern

de: Anteil Pol./Schulgem. an allg. Gemeindesteuern [%]

de: Anteil der politischen / Schulgemeinde an den allg. Gemeindesteuern (Nettoertrag Rechnungsjahr).

gemeindefinanzen

display_name: gemeindefinanzen

gemeindesteuern

display_name: gemeindesteuern

kantonzuerich

display_name: kantonzuerich

schulgemeinden

display_name: schulgemeinden

steuern

display_name: steuern

statistisches-amt-kanton-zuerich

de: Statistisches Amt Kanton Zürich

de: Das Statistische Amt ist das Kompetenzzentrum für die öffentliche Statistik im Kanton Zürich. Wir versorgen Bevölkerung, Verwaltung, Politik, Gemeinden, Medien, Firmen und sonstige Organisationen mit qualitativ hochstehenden Daten, Informationen und Fakten zum Kanton Zürich. Inhaltlich arbeiten wir unabhängig und objektiv.


qualitat-der-badegewasser

title_for_slug: qualitat-der-badegewasser

name: Païvi Rinta, Sektion Hydr. Grundlagen Gewässerzustand

fr: SPARQL Endpoint avec présélection du graphe

de: SPARQL Endpoint mit Vorauswahl des Graph

en: SPARQL Endpoint with graph preselection

media_type: application/sparql-query

format: SPARQL

mimetype: application/sparql-query

media_type: text/html

format: HTML

mimetype: text/html

fr: Les relevés de la qualité des eaux de baignade permettent d’évaluer la qualité hygiénique des eaux à l’aide des indicateurs que sont E. coli et les entérocoques intestinaux. Les informations fournies servent à déterminer l’efficacité des mesures de protection des eaux, notamment si les stations d’épuration remplissent leur fonction.

en: The assessment of bathing waters is made on the basis of hygienic quality using E.coli and intestinal enterococci. They provide indications on the effectiveness of water protection measures and in particular the extent to which waste water treatment plants are fulfilling their function.

de: Die Erhebungen zur Badegewässerqualität beurteilen die hygienische Qualität der Gewässer anhand der E.Coli und intestinalen Enterokokken. Sie geben Hinweise darauf, wie gut Gewässerschutzmassnahmen greifen, und insbesondere wieweit die Abwasserreinigungsanlagen ihre Funktion erfüllen.

it: I rilevamenti per la determinazione della qualità delle acque di balneazione valutano la qualità igienica delle acque in base all’E. coli e agli enterococchi intestinali. Forniscono informazioni sull’incisività delle misure di protezione delle acque, in particolare sull’efficienza degli impianti di depurazione delle acque di scarico.

territory

de: Raum und Umwelt

bundesamt-fur-umwelt-bafu

fr: Office fédéral de l'environnement OFEV

de: Bundesamt für Umwelt BAFU

en: Federal Office for the Environment FOEN

it: Ufficio federale dell'ambiente UFAM

fr: L’autorité compétente pour les questions environnementales. Il est à ce titre chargé de gérer les ressources naturelles selon les principes du développement durable et de protéger l’homme contre les dangers naturels et l’environnement contre les pollutions.

de: Die Fachbehörde für die Umwelt. Es ist zuständig für die nachhaltige Nutzung der natürlichen Ressourcen sowie für den Schutz des Menschen vor Naturgefahren und den Schutz der Umwelt vor übermässigen Belastungen.

en: The federal environmental authority. It is responsible for ensuring that natural resources are used sustainably, that the public is protected against natural hazards, and that the environment is protected from unacceptable adverse impacts.

it: Il servizio specializzato in materia ambientale, è competente per quanto riguarda l'utilizzazione sostenibile delle risorse naturali, la protezione delle persone dai pericoli naturali e dell'ambiente da un inquinamento eccessivo.

political_level: confederation

value: LINDAS DCAT Harvester BAFU

fr: Qualité des eaux de baignade

en: Bathing water quality

de: Qualität der Badegewässer

it: Qualità delle acque di balneazione


schwermetallbelastung-des-bodens

title_for_slug: schwermetallbelastung-des-bodens

fr: Les données mesurées sont des moyennes des concentrations de métaux lourds relevées sur les 20 cm supérieurs du sol sur 100 sites d'observation à long terme de l'Observatoire national des sols (NABO).

en: The measurement data are the surveyed mean values of heavy metal concentrations recorded in the top 20 cm of the soil in around 100 permanent monitoring sites operated by the Swiss National Soil Monitoring Network (NABO).

de: Bei den Messdaten handelt es sich um Erhebungsmittelwerte von Schwermetallkonzentrationen in den obersten 20 cm des Bodens von rund 100 Dauerbeobachtungsstandorten der Nationalen Bodenbeobachtung NABO.

it: I dati misurati sono valori medi delle concentrazioni di metalli pesanti rilevate nei 20 cm dello strato superiore del suolo presso circa 100 siti di osservazione a lungo termine dell'Osservatorio nazionale dei suoli (NABO).

agriculture

fr: Agriculture, sylviculture

de: Land- und Forstwirtschaft

en: Agriculture, forestry

fr: Pollution du sol par les métaux lourds

en: Heavy Metal Soil Contamination

de: Schwermetallbelastung des Bodens

it: Carico di metalli pesanti nel suolo


fr: air transit accord-sur-les-transports-terrestres trafic pollution-atmospherique

de: transitverkehr luft landverkehrsabkommen verkehr luftbelastung

fr: Le projet "Suivi des mesures d’accompagnement Environnement" (SMA-E) mesure la pollution atmosphérique et sonore le long des axes de transit A2 et A13. Il doit permettre d'évaluer l'impact environnemental du trafic de marchandises sur les axes nord-sud. Dans le domaine de l'environnement, cette mesure permet de contrôler la mise en œuvre de la loi sur le transfert du trafic et l'efficacité des mesures d'accompagnement dans le cadre de la politique de transfert de la Confédération.

en: The project "Monitoring flankierende Massnahmen Umwelt" (MFM-U) measures air and noise pollution along the A2 and A13 transit axes. This is intended to show the environmental impact of freight traffic on the north-south axes. In this way, the implementation of the Transfer of Traffic Act and the effectiveness of the accompanying measures within the framework of the federal government's transfer policy are examined in the area of the environment.

de: Das Projekt "Monitoring flankierende Massnahmen Umwelt" (MFM-U) misst die Luft- und Lärmbelastung entlang der Transitachsen A2 und A13. Damit soll die Umweltbelastung des Güterverkehrs auf den Nord-Süd-Achsen aufgezeigt werden. Damit wird im Bereich Umwelt die Umsetzung des Verlagerungsgesetzes und die Wirksamkeit der flankierenden Massnahmen im Rahmen der Verlagerungspolitik des Bundes überprüft.

it: Il progetto "Monitoraggio delle misure di accompagnamento” (MMA-A) misura l'inquinamento atmosferico e acustico lungo gli assi di transito A2 e A13. L'obiettivo è quello di quantificare l'impatto ambientale del traffico merci sugli assi nord-sud, per verificare l’efficacia ambientale dell'attuazione della legge sul trasferimento del traffico e delle misure di accompagnamento nell'ambito della politica di trasferimento della Confederazione.

accord-sur-les-transports-terrestres

display_name: accord-sur-les-transports-terrestres

air

display_name: air

landverkehrsabkommen

display_name: landverkehrsabkommen

luft

display_name: luft

luftbelastung

display_name: luftbelastung

pollution-atmospherique

display_name: pollution-atmospherique

trafic

display_name: trafic

transit

display_name: transit

transitverkehr

display_name: transitverkehr

verkehr

display_name: verkehr

mobility

de: Mobilität und Verkehr

fr: Pollution atmosphérique  le long de l'A2 et de l'A13 - Moyennes annuelles - NO et NO2

en: Air pollution along the A2 and A13 - annual averages - NO and NO2

de: Luftbelastung entlang der A2 und der A13 - Jahresmittelwerte - NO und NO2

it: Inquinamento atmosferico lungo la A2 e la A13 - Medie annuali - NO e NO2


maintainer: OGD-Koordinationsstelle Kanton Thurgau

de: bezirk beglaubigung notariat

de: json

de: Grundbuch- und Notariatsverwaltung: Statistik Beglaubigungen (json)

license: CC BY 4.0

de: csv

de: Grundbuch- und Notariatsverwaltung: Statistik Beglaubigungen (csv)

de: Der Datensatz beinhaltet die jährliche Anzahl der Beglaubigungen bei den Notariaten im Kanton Thurgau ab 2017, unterteilt nach Bezirken.

beglaubigung

display_name: beglaubigung

bezirk

display_name: bezirk

notariat

display_name: notariat

administration

fr: Administration

de: Verwaltung

en: Administration

it: Amministrazione

kanton-thurgau

fr: Canton de Thurgovie

de: Kanton Thurgau

en: Canton of Thurgau

it: Cantone di Turgovia

de: Der Kanton Thurgau veröffentlicht hier schrittweise OGD-Datensätze der kantonalen Verwaltung.

value: TG-Kt DCAT Harvester


maintainer: EnviDat Support

en: natural-climate-variability cryosphere climate-change-impact rain-on-snow snow-water-equivalent uncertainty

en: climate realizations

format: SERVICE

en: The dataset contains for three variables (snow water equivalent, surface water input and liquid precipitation) 50 realizations of current and future climate periods for two time horizons (mid end end of century), two emission senarions (RCP 4.5 and 8.5) and 10 climate model chains (all EUR11 chains within CH2018). To quantify natural climate variability for projections of snow conditions and resulting rain-on-snow (ROS) flood events, a weather generator was applied to simulate inherently consistent climate variables for multiple realizations of current and future climates at 100 m spatial and hourly temporal resolution over a 12 x 12 km high-altitude study area in the Swiss Alps. The output of the weather generator was used as input for subsequent simulations with an energy balance snow model. The data was extracted in 2021 from original model output.

climate-change-impact

display_name: climate-change-impact

cryosphere

display_name: cryosphere

natural-climate-variability

display_name: natural-climate-variability

rain-on-snow

display_name: rain-on-snow

snow-water-equivalent

display_name: snow-water-equivalent

uncertainty

display_name: uncertainty

education

de: Bildung, Wissenschaft

envidat

fr: EnviDat: le portail de données environnementales

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

it: EnviDat: il portale dei dati ambientali

fr: EnviDat est le portail de données du WSL; il offre un accès uniformisé et réglementé aux données de surveillance et de recherche en matière d’environnement. Ce portail est capable d’héberger et de publier des ensembles de données précieuses et uniques, qui sont partagées aux quatre coins de la planète. Ce faisant, EnviDat favorise la recherche et contribue à l’avancement des sciences environnementales.

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

de: EnviDat ist das Datenportal der WSL für einen einheitlichen und verwalteten Zugang zu Umweltdaten aus Monitoring- und Forschungsprojekten. Auf dem Portal können Datensätze gehostet und veröffentlicht werden. Durch die weltweite Bereitstellung einzigartiger und wertvoller Datensätze leistet EnviDat einen Beitrag zur Forschung im Bereich der Umweltwissenschaften.

it: EnviDat è il portale dati del WSL che fornisce un accesso unificato e gestito ai dati di monitoraggio ambientale e di ricerca. Il portale ha la capacità di ospitare e pubblicare serie di dati preziosi e unici che vengono condivisi in tutto il mondo. Così facendo, EnviDat promuove la ricerca e contribuisce al progresso della scienza ambientale.

political_level: other

value: Envidat Harvester

en: Multiple realizations of daily snow water equivalent, surface water input and liquid precipitation projections for mid- and late-century


grosser-rat-live-abstimmungsergebnisse

title_for_slug: grosser-rat-live-abstimmungsergebnisse

de: demokratie abstimmung

de: Grosser Rat: Live-Abstimmungsergebnisse (json)

license: CC BY 3.0 CH

de: Grosser Rat: Live-Abstimmungsergebnisse (csv)

de: Dieser Datensatz zeigt die Resultate der Abstimmungen des Grossen Rates Basel-Stadt, einzeln für jedes Ratsmitglied und jede Abstimmung. An Sitzungsdaten werden die Daten in Echtzeit aktualisiert. Abstimmungen an Sitzungen, welche während der Coronavirus-Ausnahmesituation 2020/2021 im Kongresscenter Basel abgehalten wurden, sind aktuell noch nicht in diesem Datensatz vorhanden. Die Daten können auch als Website und PDF Datei hier eingesehen werden: Aktuelle Sitzung: http://abstimmungen.grosserrat-basel.ch/index_aktuell.phpVergangene Sitzungen (Archiv): http://abstimmungen.grosserrat-basel.ch/index_archiv.phpBitte beachten Sie, dass für das offizielle Abstimmungsergebnis das jeweilige Sitzungsprotokoll des Grossen Rates massgeblich ist (elektronische Fassung: https://grosserrat.bs.ch/ratsbetrieb/ratsprotokolle).

abstimmung

display_name: abstimmung

demokratie

display_name: demokratie

legislation

fr: Législation

de: Gesetzgebung

en: Legislation

it: Legislazione

politics

fr: Politique

de: Politik

en: Politics

it: Politica

kanton-basel-stadt

fr: Canton de Bâle-Ville

de: Kanton Basel-Stadt

en: Canton of Basel-City

it: Cantone di Basilea-Città

de: Der Kanton Basel-Stadt veröffentlicht nach und nach Open Government-Datensätze von kantonalen Ämtern und Dienststellen. Die kantonale Fachstelle für Open Government Data ist als Koordinationsorgan zuständig für die Unterstützung der datenpublizierenden Verwaltungsstellen.

value: BS Kanton Stadt - DCAT Harvester

de: Grosser Rat: Live-Abstimmungsergebnisse


fr: SPARQL Endpoint avec présélection du graphe

en: SPARQL Endpoint with graph preselection

de: SPARQL Endpoint mit Vorauswahl des Graph

fr: Pourcentage de la population, des appartements et des bâtiments exposés au bruit de la circulation routière, ferroviaire et aérienne de jour et de nuit. Les données sont issues d'une modélisation effectuée à l'échelle nationale utilisant le modèle sonBASE.

de: Anteil der Bevölkerung, Wohnungen und Gebäude, die tagsüber und nachts durch Straßen-, Schienen- und Fluglärmbelastung ausgesetzt sind. Die Daten basieren auf flächendeckenden Modellberechnungen (sonBASE).

en: Percentage of the population, flats and buildings exposed to road, rail and air traffic noise during the day and night. The data is based on area-wide model calculations (sonBASE).

it: Percentuale della popolazione, degli appartamenti e degli edifici esposti al rumore del traffico stradale, ferroviario e aereo diurno e notturno. I dati sono derivati da un esercizio di modellazione nazionale utilizzando il modello sonBASE.

air-traffic-noise

display_name: air-traffic-noise

bruit-du-trafic-aerien

display_name: bruit-du-trafic-aerien

bruit-du-trafic-ferroviaire

display_name: bruit-du-trafic-ferroviaire

bruit-du-trafic-routier

display_name: bruit-du-trafic-routier

eisenbahnlarm

display_name: eisenbahnlarm

fluglarm

display_name: fluglarm

rail-traffic-noise

display_name: rail-traffic-noise

road-traffic-noise

display_name: road-traffic-noise

rumore-del-traffico-aero

display_name: rumore-del-traffico-aero

rumore-del-traffico-ferroviaro

display_name: rumore-del-traffico-ferroviaro

rumore-del-traffico-stradale

display_name: rumore-del-traffico-stradale

strassenverkehrslarm

display_name: strassenverkehrslarm

health

fr: Santé

de: Gesundheit

en: Health

it: Sanità

territory

fr: Territoire et environnement

de: Raum und Umwelt

en: Territory and environment

it: Territorio e ambiente

bundesamt-fur-umwelt-bafu

de: Bundesamt für Umwelt BAFU

en: Federal Office for the Environment FOEN

de: Die Fachbehörde für die Umwelt. Es ist zuständig für die nachhaltige Nutzung der natürlichen Ressourcen sowie für den Schutz des Menschen vor Naturgefahren und den Schutz der Umwelt vor übermässigen Belastungen.

en: The federal environmental authority. It is responsible for ensuring that natural resources are used sustainably, that the public is protected against natural hazards, and that the environment is protected from unacceptable adverse impacts.

fr: Exposition au bruit du trafic

de: Lärmbelastung durch Verkehr

en: Traffic noise pollution

it: Esposizione al rumore del traffico


maintainer: Joan Casanelles Abella

en: hylaeus-communis tartu trap-nest urban-ecology dna-metabarcoding poznan chelostoma-florisomne zurich osmia-cornuta cavity-nesting-bees antwerp paris osmia-bicornis plant-pollinator-interactions

en: Larval food composition

media_type: CSV

en: Explanation data variables

en: Urbanization poses threats and opportunities for the biodiversity of wild bees. A main gap relates to the food preferences of wild bees in urban ecosystems, which usually harbour large numbers of plant species, particularly at the larval stage. This data sets describes the larval food of four wild bee species (i.e. Chelostoma florisomne, Hylaeus communis, Osmica bicornis and Osmia cornuta) and three genera (i.e. Chelostoma sp., Hylaeus sp, and Osmia sp.) common in urban areas in five different European cities (i.e. Antwerp, Paris, Poznan, Tartu and Zurich). This data results from a European-level study aimed at understanding the effects of urbanization on biodiversity across different cities and citiscapes, and a Swiss project aimed at understanding the effects of urban ecosystems in wild bee feeding behaviour. Wild bees were sampled using standardized trap-nests in 80 sites (32 in Zurich and 12 in each of the remaining cities), selected following a double gradient of available habitat at local and landscape scales. Larval pollen was obtained from the bee nests and identified using DNA metabarconding. The data provides the plant composition at the species or genus level of the different bee nests of the studied species in the studied sites of the five European cities. For Hylaeus communis, this is the first study in reporting larval food composition.

antwerp

display_name: antwerp

cavity-nesting-bees

display_name: cavity-nesting-bees

chelostoma-florisomne

display_name: chelostoma-florisomne

dna-metabarcoding

display_name: dna-metabarcoding

hylaeus-communis

display_name: hylaeus-communis

osmia-bicornis

display_name: osmia-bicornis

osmia-cornuta

display_name: osmia-cornuta

paris

display_name: paris

plant-pollinator-interactions

display_name: plant-pollinator-interactions

poznan

display_name: poznan

tartu

display_name: tartu

trap-nest

display_name: trap-nest

urban-ecology

display_name: urban-ecology

zurich

display_name: zurich

education

fr: Education, science

de: Bildung, Wissenschaft

en: Education and science

it: Formazione e scienza

envidat

de: EnviDat: das Umwelt-Datenportal

de: EnviDat ist das Datenportal der WSL für einen einheitlichen und verwalteten Zugang zu Umweltdaten aus Monitoring- und Forschungsprojekten. Auf dem Portal können Datensätze gehostet und veröffentlicht werden. Durch die weltweite Bereitstellung einzigartiger und wertvoller Datensätze leistet EnviDat einen Beitrag zur Forschung im Bereich der Umweltwissenschaften.

en: Larval food composition of four wild bee species in five European cities


en: stable-water-isotopes precipitation stream-water spatially-distributed-sampling geochemical-solutes

format: XLS

en: The dataset contains daily measurements of volumes, isotopes and solutes of stream water as well as precipitation measured several locations; meteorological variables are added. Date: 18.07.2019

en:
This dataset contain measurements of solute and stable water isotopes in stream water and precipitation in the Alp catchment and two of its tributaries (between 2015 -2018) . The river Alp is a snow-dominated catchment situated in Central Switzerland characterized by an elevation range from 840 to 1898 m a.s.l. The dataset provides solutes (major anions and cations, trace metals) and stable water isotopes and water fluxes (precipitation rates, discharge) at daily intervals from several sampling locations.
An updated version of the isotope dataset is available here: https://www.doi.org/10.16904/envidat.242

geochemical-solutes

display_name: geochemical-solutes

precipitation

display_name: precipitation

spatially-distributed-sampling

display_name: spatially-distributed-sampling

stable-water-isotopes

display_name: stable-water-isotopes

stream-water

display_name: stream-water

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: Daily data of solute and stable water isotopes in stream water and precipitation in the Alp catchment, Central Switzerland


en: community-energy renewable-energy switzerland energy-cooperatives cooperatives

en: Questionnaire with variable names

media_type: PDF

en: Modified questionnaire with variable names for each item. Should be used together with the data files (.csv or .sav) to reconstruct the data and variable structures.

format: PDF

mimetype: application/pdf

en: Raw data (.csv)

en: Raw data in csv. format. For comprehension of the data and variable structure, please consult the codebook and the modified questionnaire with variable names.

en: Codebook

en: Description of variable attributes and valid n

en: Raw date (SPSS)

media_type: SAV

en: Raw data in sav. format (SPSS). For comprehension of the data and variable structure, please consult the modified questionnaire with variable names.

en:
 Topic of Survey
The data at hand on energy cooperatives in Switzerland were collected in 2016 as part of the project "Collective financing of renewable energy projects in Switzerland and Germany" of the National Research Programme 71 "Managing Energy Consumption". The cooperatives were surveyed on their organizational structure, their activities in electricity and heat generation, their finances, the political context and their assessments of the future.

 Survey Method
The survey was targeted at all energy cooperatives in Switzerland (this is the basic population). The Swiss Commercial Register was searched for cooperatives and specific keywords in order to determine this basic population and collect addresses. This search in May 2016 resulted in a total of 304 energy cooperatives, to which a questionnaire was sent in July 2016. A pre-test with 8 persons had been carried out before the questionnaire was sent out. The questionnaire was provided in German and French. It was sent by mail and an attached letter referred to a link for the digital version if preferred. The online version was designed with the software "Sawtooth". After three weeks, a first, and after six weeks a second reminder letter was sent to those cooperatives that had not yet completed the questionnaire. The returned hardcopy questionnaires were manually entered into the database and then combined with the electronic data from the online survey. In the course of the survey, the total population was reduced from 304 to 289: in 4 cases the survey was not deliverable, 4 cooperatives had dissolved, 6 were not actually energy cooperatives, 1 case had recently changed its legal form. With a response rate of 47%, the final data set comprises 136 responses (from 77 digital and 59 hardcopy questionnaires). However, not all 136 of the returned questionnaires were filled out completely. We checked for answers that seemed contradictory or incomprehensible. If an error could be clearly identified and the correct answer derived, the answer was adjusted, otherwise the answer was replaced by "missing data".

 Anonymization
Participating cooperatives have been assured that their information will be kept confidential and will only be made public anonymously. For this reason, the data have been anonymized in in order to prevent any identification of individual cooperatives.

 How to Use the Data
* The data are available in CSV and SPSS (sav.) format.
* A codebook and a modified version of the used questionnaire are provided to illustrate the data and variable structure. In the questionnaire, the variable names are assigned to the corresponding questions. In the codebook, further information on these variables (valid n, answer categories) can be found. This information (of the codebook) is already integrated in the SPSS file.

 Current Embargo on Data
These data are currently under embargo and will only be released when the project is completed (not before 2020).

#Additional Information
* The used questionnaire is provided in German and French.
* Descriptive results of the survey were published in a WSL report: https://www.dora.lib4ri.ch/wsl/islandora/object/wsl:18943

community-energy

display_name: community-energy

cooperatives

display_name: cooperatives

energy-cooperatives

display_name: energy-cooperatives

renewable-energy

display_name: renewable-energy

switzerland

display_name: switzerland

en: Energy Cooperatives in Switzerland: Survey Results // Energiegenossenschaften in der Schweiz: Befragungsergebnisse


soil-respiration-exclosure-experiment

title_for_slug: soil-respiration-exclosure-experiment

en: subalpine grassland ungulates soil-respiration grazing

en: Soil respiration Switzerland

en:
ID: Fence number

Year	:Year of sampling

mean.CO2: soil respiration measured with PP-systems SRC-1 soil respriation chamber attached to a EGM-4 infrared gas analyser; units CO2 g m-2 h-1

Grassland: Grasslands where fences were errected. Note that on large grasslands (STAB, GRIM, MING) 2 pairs of fences were errected (2 in short, 2 in tall-grass vegetation), on small grasslands (DADA, MARG, BOTS) only one pair of fences was errected (1 short-grass; one-tallgrass vegetation)

Fence: Fence number; un-even numbers on short-grass vegetation (1,3,5,7,9,11,13,15,17), even numbers on tall-grass vegetation (2,4,6,8,10,12,14,16,18)

Vegetation:	1 = shortgrass vegetation, 2 = tall-grass vegetation (9 replicate fences on each vegetation type)

Treatment	: 1 = all herbivores grazing, 2 = large ungulates (red deer, chamois) excluded

en:
Location of data collection
The Swiss National Park (SNP) is located in the southeastern part of Switzerland, and covers an area of 170 km2, 50 km2 of which is forested, 33 km2 is occupied by alpine and 3 km2 by subalpine grasslands. Elevations range from 1350 to 3170 m a.s.l., and mean annual precipitation and temperature are 871 mm and 0.6°C measured at the Park’s weather station in Buffalora (1980 m a.s.l.) between 1960 and 2009 (MeteoSchweiz 2011). Founded in 1914, the SNP received minimal human disturbance for almost 100 years (no hunting, fishing, or camping, visitors are not allowed to leave the trails). Large (> 1 ha) homogeneous patches of short- and tall-grass vegetation characterize the subalpine grasslands. The average vegetation height of short-grass vegetation is 2 to 5 cm. Red fescue (Festuca rubra L.), quaking grass (Briza media L.) and common bent grass (Agrostis tenuis Sipthrob) are the predominating plant species in this vegetation type. Tussocks of evergreen sedge (Carex sempervirens Vill.) and mat grass (Nardus stricta L.) are predominant in the tall-grass vegetation, which averages 20 cm in vegetation height (Schütz and others 2006). Short-grass vegetation developed in areas where cattle and sheep rested (high nutrient input) during agricultural land-use (from 14th century until 1914); tall-grass vegetation developed in areas where cattle and sheep used to graze, but did not rest (Schütz and others 2003, 2006). Herbivores were shown to consume > 60% of the biomass in short-grass compared to < 20% in tall-grass vegetation (Schütz and others 2006). The herbivore community present in the SNP can be divided into four groups based on body size/weight: large [red deer (Cervus elaphus L.) and chamois (Rupricapra rupricapra L.); 30 - 150 kg], medium [marmot (Marmota marmota L.) and snow hare (Lepus timidus L.); 3 – 6 kg], and small vertebrate herbivores (small rodents: e.g. Clethrionomys spp., Microtus spp., Apodemus spp.; 30 – 100 g) as well as invertebrates (e.g. grasshoppers, caterpillars, cicadas, < 5 g).

Experimental design
We selected 18 subalpine grassland sites (9 short-grass, 9 tall-grass vegetation). The sites were spread across the entire park on dolomite parent material at altitudes of 1975 to 2300 meters. At each site we established an exclosure network (fences) in spring 2009 (early June), immediately after snowmelt. Each exclosure network consisted of a total of five 2 × 3 m sized plots that progressively excluded the different herbivores listed above (further labeled according to the herbivore guilds that had access to the respective plots “All”, “Marmot/Mice/Invertebrates”, “Mice/Invertebrates”, “Invertebrates”, “None”). The “All” treatment was thus accessible to all herbivores, was not fenced and was located at least 5 m away from a 2.1 m tall and 7 × 9 m main fence that enclosed the other four treatments. This fence was constructed of 10 × 10 cm wooden posts and electrical equestrian tape (AGRARO ECO, Landi, Bern, Switzerland; 20 mm width) mounted at 0.7 m, 0.95 m, 1.2 m, 1.5 m and 2.1 m above the ground that were connected to a solar charged battery (AGRARO Sunpower S250, Landi, Bern, Switzerland). We also mounted non-electrically charged equestrian tape at 0.5 m to help exclude deer and chamois, yet allow marmots and hares to enter safely. Within each main fenced area we randomly established four 2 × 3 m plots: (1) The “Marmot/Mice/Invertebrates” plot remained unfenced, thus, with the exception of red deer and chamois, all herbivores were able to access the plot, (2) The “Mice/Invertebrates” plot consisted of a 90 cm high electric sheep fence (AGRARO Weidezaunnetz ECO, Landi, Bern, Switzerland; mesh size 10 × 10 cm) connected to the solar panel and excluded all medium sized mammals (marmots, hares), but provided access for small mammals and invertebrates, (3) The “Invertebrates” plot provided access for invertebrates only and was surrounded by 1 m high metal mesh (Hortima AG, Hausen, Schweiz; mesh size 2 × 2 cm), (4) The “None” plot was surrounded by a 1 m tall mosquito net (Sala Ferramenta AG, Biasca, Switzerland; mesh size 1.5 × 2 mm) to exclude all herbivores. This plot was covered with a roof constructed of a wooden frame lined with mosquito mesh that was mounted on the wooden corner posts. We also treated this plot with a biocompatible insecticide (Clean kill original, Eco Belle GmbH, Waldshut-Tiengen, Germany) when needed to remove insects that might have entered during data collection or that hatched from the soil.

!!! The here published data set only contains data for “All”, and “Marmot/Mice/Invertebrates” (= ungulates excluded) plots !!!

Data collection
In-situ soil CO2 emissions were measured with a PP-Systems SRC-1 soil respiration chamber (closed circuit) attached to a PP-Systems EGM-4 infrared gas analyzer (PP-Systems, Amesbury, MA, USA) on two randomly selected locations on one subplot within each of the 90 plots. For each measurement the soil chamber (15 cm high; 10 cm diameter) was placed on a permanently installed PVC collar (10 cm diameter) driven five centimeters into the soil at the beginning of the study (June 2009). The measurements were conducted between 0900 and 1700 hours every two weeks from early to early September 2009, 2010, 2011 and 2013. Freshly germinated plants growing within the PVC collars were removed prior to each measurement to avoid measuring plant respiration/photosynthesis. The two measurements collected per plot every two weeks were averaged.

Please acknowledge the funding of the study: funded by the Swiss National Science Foundation, SNF grant-no 31003A_122009/1 to Anita C. Risch, Martin Schütz and Flurin Filli

grassland

display_name: grassland

grazing

display_name: grazing

soil-respiration

display_name: soil-respiration

subalpine

display_name: subalpine

ungulates

display_name: ungulates

education

en: Education and science

en: Soil respiration - exclosure experiment


maintainer: Jana von Freyberg

en: stable-water-isotopes review plant-water-uptake root-zone uncertainties endmember-mixing-models ecohydrology

en: Data set of MEE-20-04-264 (CSV)

en: Data set of MEE-20-04-264

media_type: application/pdf

en: The following two tables contain information about the data sources of the values reported in Table 1 and 2 in the paper “Plant and root-zone water isotopes are difficult to measure, explain, and predict: some practical recommendations for determining plant water sources” published in the journal ‘Methods in Ecology and Evolution’.

en: The following two tables contain information about the data sources of the values reported in Table 1 and 2 in the paper “Plant and root-zone water isotopes are difficult to measure, explain, and predict: some practical recommendations for determining plant water sources” published in the journal 'Methods in Ecology and Evolution'.

ecohydrology

display_name: ecohydrology

endmember-mixing-models

display_name: endmember-mixing-models

plant-water-uptake

display_name: plant-water-uptake

review

display_name: review

root-zone

display_name: root-zone

uncertainties

display_name: uncertainties

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: Data set of: Plant and root-zone water isotopes are difficult to measure, explain, and predict: some practical recommendations for determining plant water sources


maintainer: Leo Gallus Bont

en: qgis accessible-forest forest geoprocessing seilaplan openstreetmap

en: DEM (for the area of the sample forest range)

media_type: image/tiff

format: TIFF

mimetype: image/tiff

en: Juypter Notebook for Data Preparation

media_type: ipynb

en: Juypter Notebook for Data Preparation (online)

en: Railways vector data (close to the sample forest range)

media_type: application/zip

format: ZIP

mimetype: application/zip

en: Forest vector data (for sample forest range)

en: Preview

media_type: image/png

format: PNG

mimetype: image/png

en: Digitised sample perimeter

en: Power lines vector data (close to the area of the sample forest range)

en:
This dataset contains open vector data for railways, forests and power lines, as well an open digital elevation model (DEM) for a small area around a sample forest range in Europe (Germany, Upper Bavaria, Kochel Forest Range, some 70 km south of München, at the edge of Bavarian Alps).
The purpose of this dataset is to provide a documented sample dataset in order to demonstrate geospatial preprocessing at FOSS4G2019 based on open data and software. This sample has been produced based on several existing open data sources (detailed below), therefore documenting the sources for obtaining some data needed for computations related to forest accessibility and wood harvesting. For example, they can be used with the open methodology and QGIS plugin [Seilaplan]( https://doi.org/10.16904/envidat.software.1) for optimising the geometric layout cable roads or with additional open software for computing the forest accessibility for wood harvesting.
The vector data (railways, forests and power lines) was extracted from OpenStreetMap (data copyrighted OpenStreetMap contributors and available from https://www.openstreetmap.org). The railways and forests were downloaded and extracted on 18.05.2019 using the open sources QGIS (https://www.qgis.org) with the QuickOSM plugin, while the power lines were downloaded a couple of days later on 23.05.2019.

Additional notes for vector data:
Please note that OpenStreeMap data extracts such as forests, roads and railways (except power lines) can also be downloaded in a GIS friendly format (Shapefile) from http://download.geofabrik.de/ or using the QGIS built-in download function for OpenStreetMap data. The most efficient way to retrieve specific OSM tags (such as power=line) is to use the QuickOSM plugin for QGIS (using the Overpass API - https://wiki.openstreetmap.org/wiki/Overpass_API) or directly using overpass turbo (https://overpass-turbo.eu/). Finally, the digitised perimeter of the sample forest range is also made available for reproducibility purposes, although any perimeter or area can be digitised freely using the QGIS editing toolbar.

The DEM was originally adapted and modified also with QGIS (https://www.qgis.org) based on the elevation data available from two different sources, by reprojecting and downsampling datasets to 25m then selecting, for each individual raster cell, the elevation value that was closer to the average. These two different elevation sources are:

- Copernicus Land Monitoring Service - EU-DEM v.1.1 (TILE ID E40N20, downloaded from https://land.copernicus.eu/imagery-in-situ/eu-dem/eu-dem-v1.1; this original DEM was produced by the Copernicus Land Monitoring Service “with funding by the European Union” based on SRTM and ASTER GDEM)
- Digitales Geländemodell 50 m Gitterweite (https://opendata.bayern.de/detailansicht/datensatz/digitales-gelaendemodell-50-m-gitterweite/), produced by the Bayerische Vermessungsverwaltung – www.geodaten.bayern.de –and downloaded from http://www.geodaten.bayern.de/opendata/DGM50/dgm50_epsg4258.tif

This methodology was chosen as a way of performing a basic quality check, by comparing the EU-DEM v.1.1 derived from globally available DEM data (such as SRTM) with more authoritative data for the randomly selected region, since using authoritative data is preferred (if open and available). For other sample regions, where authoritative open data is not available, such comparisons cannot longer be performed.

Additional notes DEM: a very good DEM open data source for Germany is the open data set collected and resampled by Sonny (sonnyy7@gmail.com) and made available on the Austrian Open Data Portal http://data.opendataportal.at/dataset/dtm-germany. In order to simplify end-to-end reproducibility of the paper planned for FOSS4G2019, we use and distribute an adapted (reprojected and resampled to 25 meters) sample of the above mentioned dataset for the selected forest range.

This sample dataset is accompanied by software in Python, as a Jupiter Notebook that generates harmonized output rasters with the same extent from the input data. The extent is given by the polygon vector dataset (Perimeter). These output rasters, such as obstacles, aspect, slope, forest cover, can serve as input data for later computations related to forest accessibility and wood harvesting questions. The obstacles output is obtained by transforming line vector datasets (railway lines, high voltage power lines) to raster. Aspect and slope are both derived from the sample digital elevation model.

accessible-forest

display_name: accessible-forest

forest

display_name: forest

geoprocessing

display_name: geoprocessing

openstreetmap

display_name: openstreetmap

qgis

display_name: qgis

seilaplan

display_name: seilaplan

en: Sample Geodata and Software for Demonstrating Geospatial Preprocessing for Forest Accessibility and Wood Harvesting at FOSS4G2019


en: long-term swiss-forest-lab meteorology par relative-humidity precipitation climate-change meteo temperature wind-speed

en: Data plot of the forest station (LEB)

en: Data overview for air temperature, relative humidity, precipitation, PAR, wind speed.

en: Site photo of the forest station (LEB)

media_type: image/jpeg

en: Site photo of the forest station from below (viewing upwards the slope)

mimetype: image/jpeg

en: Forest station data (LEB)

en: Data file.

en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for one meteorological station in Lens in Switzerland which is located within a natural coniferous forest with Scots pine (_Pinus sylvestris_; 150-170 yrs)) as dominant tree species. The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Lens is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed

education

en: Education and science

en: Lens, Switzerland: Long-term forest meteorological data from the Long-term Forest Ecosystem Research Programme (LWF), from 1997 onwards


en: longwave-radiation outgoing shortwave-radiation incoming davos

en: Metadata

en: DATA ACCESS

media_type: SMET

en: Processing doc

en: Parameter file

media_type: text/plain

format: TXT

mimetype: text/plain

en:
Incoming and outgoing shortwave and longwave 2 min radiation measurements in Davos Dorf, CH.

 References
1. Marty, C., Philipona, R., Frohlich, C., Ohmura, A.. Altitude dependence of surface radiation fluxes and cloud forcing in the alps: results from the alpine surface radiation budget network. 2002. Theoretical and Applied Climatology. Volume 72. Issue 3-4. 137-155. http://dx.doi.org/10.1007/s007040200019. 10.1007/s007040200019.
2. Christoph Marty. Surface Radiation, Cloud Forcing and Greenhouse Effect in the Alps. 2000. Institute fuer Klimaforschung ETH. Zuercher Klima-Schriften. Volume 79. http://e-collection.library.ethz.ch/eserv/eth:23491/eth-23491-01.pdf.

davos

display_name: davos

incoming

display_name: incoming

longwave-radiation

display_name: longwave-radiation

outgoing

display_name: outgoing

shortwave-radiation

display_name: shortwave-radiation

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: ASRB_DAV: Shortwave and longwave radiation measurements (2 min) in Davos Dorf


en: snowmelt-rate snowpack-outflow stable-water-isotopes snowmelt-lysimeter solutes

en: The dataset contains volumes, solutes and stable water isotopes of snowpack outflow at daily resolution. 10-minute data are provided of the measurements taken by three snowmelt lysimeter systems at spatially-distributed locations.

en:
This data contain volumes, solutes and isotopes of snowpack outflow measured by a snowmelt lysimeter system at three locations in the southern Alp catchment, situated Central Switzerland. The river Alp is a snow-dominated catchment situated in Central Switzerland characterized by an elevation range from 840 to 1898 m a.s.l.
The dataset provides solutes (major anions and cations, trace metals) and stable water isotopes and water fluxes (snowpack outflow volumes) at daily intervals from several sampling locations. Additionally, the data measured by the snowmelt lysimeter system are provided in 10-minute resolution.

snowmelt-lysimeter

display_name: snowmelt-lysimeter

snowmelt-rate

display_name: snowmelt-rate

snowpack-outflow

display_name: snowpack-outflow

solutes

display_name: solutes

stable-water-isotopes

display_name: stable-water-isotopes

en: Daily data of the volumes, solutes and isotopes in snowpack outflow measured at three locations in the southern Alp catchment


maintainer: Henning Löwe

en: grain-shape fast-sintering angle-of-repose granular-snow discrete-element-modelling

en: Angle of repose and 3D CT images

en:
5 Snow types were examined and glass beads as a cohesion-less reference, named as follows:

RG: rounded grains (sieved with 0.7 - 1.4 mm)

FC: faceted grains (1.4 - 2 mm)

FCS: small faceted grains (0.7 - 1.4 mm)

IB: ice beads (4 mm)

IBS: small ice beads (2 - 2.2 mm)

GB: glass beads(2 mm)

en:
Angle of repose experiments were performed with different snow types at temperatures between -2 and -40°C. They were used to examine granular snow dynamics on the grain-scale with focus on the role of grain shape and cohesion. The angle of repose was observed by sieving snow onto a round, freestanding base until a stationary heap was formed.

This dataset consists of 1) the images of the experimental heaps that were taken to determine the angle of repose, 2) one binary 3D micro computed tomography image of each snow type. The CT images were taken with the SLF micro-CT40 to characterize snow properties and grain shape.

The experiments with natural snow types (rounded and faceted grains) and spherical model snow allowed for an examination of the differences in granular properties between natural grain shapes and spherical particles in view of Discrete Element Modelling. With the chosen temperatures, the effect of sintering could be observed that increases the angle of repose with increasing temperature.

angle-of-repose

display_name: angle-of-repose

discrete-element-modelling

display_name: discrete-element-modelling

fast-sintering

display_name: fast-sintering

grain-shape

display_name: grain-shape

granular-snow

display_name: granular-snow

en: Angle of repose experiments with natural and spherical snow


en: consistent aws antarctica cryowrf python

media_type: .zip

en: Scripts to preprocess (and download for some databases) atmospheric weather station data. Furthermore, a list of stations and a map can be created to have an overview.

en:
There are many sources providing atmospheric weather station data for the Antarctic continent. However, variable naming, timestamps and data types are highly variable between the different sources. The published python code intends to make processing of different AWS sources from Antarctica easier. For all datasets that are taken into account variables are renamed in a consistent way. Data from different sources can then be handled in one consistent python dictionary.

The following data sources are taken into account:

* AAD: Australian Antarctic Division (https://data.aad.gov.au/aws)
* ACECRC: Antarctic Climate and Ecosystems Cooperative Research Centre by the Australian Antarctic Division
* AMRC: Antarctic Meteorological Research Center (ftp://amrc.ssec.wisc.edu/pub/aws/q1h/)
* BAS: British Antarctic Survey (ftp://ftp.bas.ac.uk/src/ANTARCTIC_METEOROLOGICAL_DATA/AWS/; https://legacy.bas.ac.uk/met/READER/ANTARCTIC_METEOROLOGICAL_DATA/)
* CLIMANTARTIDE: Antarctic Meteo-Climatological Observatory by the italian National Programme of Antarctic Research (https://www.climantartide.it/dataaccess/index.php?lang=en)
* IMAU: Institute for Marine and Atmospheric research Utrecht (Lazzara et al., 2012), https://www.projects.science.uu.nl/iceclimate/aws/antarctica.ph
* JMA: Japan Meteorological Agency (https://www.data.jma.go.jp/antarctic/datareport/index-e.html)
* NOAA: National Oceanic and Atmospheric Administration (https://gml.noaa.gov/aftp/data/meteorology/in-situ/spo/)
* Other/AWS_PE: Princess Elisabeth (PE), KU Leuven, Prof. N. van Lipzig, personal communication
* Other/DDU_transect: Stations D-17 and D-47 (in transect between Dumont d’Urville and Dome C, Amory, 2020)
* PANGAEA: World Data Center (e.g. König-Langlo, 2012)

Important notes

* Information about data sources is available. Some downloading scripts are included in the provided code. However, users should make sure to comply with the data providers terms and conditions.
* Given changing download options of the differnent institutions the above links may not permanently work and data has to be retrieved by the user of this dataset.
* No quality control is applied in the provided preprocessing software - quality control is up to the user of the datasets. Some dataset are quality controlled by the owner.

Acknowledgements
--------------------------
We thank all the data providers for making the data publicly available or providing them upon request. Full acknowledgements can be found in Gerber et al., submitted.

References
---------------
Amory, C. (2020). “Drifting-snow statistics from multiple-year autonomous measurements in Adélie Land, East
Antarctica”. The Cryosphere, 1713–1725. doi: 10.5194/tc-14-1713-2020

Gerber, F., Sharma, V. and Lehning, M.: CRYOWRF - a validation and the effect of blowing snow on the Antarctic SMB, JGR - Atmospheres, submitted.

König-Langlo, G. (2012). “Continuous meteorological observations at Neumayer station (2011-01)”. Alfred Wegener
Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, doi: 10.1594/PANGAEA.
775173

antarctica

display_name: antarctica

aws

display_name: aws

consistent

display_name: consistent

cryowrf

display_name: cryowrf

python

display_name: python

education

en: Education and science

en: Preprocessing Antarctic Weather Station (AWS) data in python


maintainer: Thorsten Bartels-Rausch

en: snow heterogeneous laboratory-study metamorphism arctic ozone interface solution chemistry brine antarctica reaction alpine

en: Matlab Script to view and plot data

media_type: .m

en: Ozone data

media_type: dat

en: Trend of ozone mixing ratio ( _O3mixingRatio_ppb_ with time ( _time_s_ ) as measured downstream of the snow sample during the experiments. Time "0" denotes the time when data acquisition with ozone analyser was started. And, ozone (_nOzone_molec_per_s_ ) loss for each experiment with duration of ozone exposure ( _duration_s_ ) of ozone exposure, as derived from the ozone trends shown above. Time "0" denotes the time when the carrier gas with ozone was passed via the snow sample.

en: Data Figure 1

en: Data of published Figure

en: Readme file

en: This file shows data, code, and plots.

en: Matlab Data

media_type: mat

en: All data as Matlab mat file

en: Acetone data

en:
intensity of the acetone-water-cluster and water-cluster (as derived by a chemical ionisation mass spectrometer) with time in the carrier gas downstream of packed bed flow tube holding the snow sample or the by-pass, respectively. Time "0" denotes the time when the mass spectrometer data acquisition was started. When the carrier
gas with acetone was passed via the packed bed flow tube, that is switched from by-pass to pass the snow, acetone concentration in the carrier gas rapidly dropped due to surface adsorption and slowly recovered as the adsorption sites saturate. From this, the surface area can be obtained.

en: data list

en: Lists file names, snow sample properties, and flow settings for each data-set.

en: Earth’s snow cover is very dynamic on diurnal time scales. The changes to the snow structure during this metamorphism have wide ranging impacts such as on avalanche formation and on the capacity of surface snow to exchange trace gases with the atmosphere. Here, we investigate the influence of dry metamorphism, which involves fluxes of water vapor, on the chemical reactivity of bromide in the snow. For this, the heterogeneous reactive loss of ozone at a concentration of 5-6E12 molecules cm-3 is investigated in artificial, shock-frozen snow samples doped with 6.2 uM sodium bromide and with varying metamorphism history. The oxidation of bromide in snow is one reaction initiating polar bromine releases and ozone depletions.

alpine

display_name: alpine

arctic

display_name: arctic

brine

display_name: brine

chemistry

display_name: chemistry

heterogeneous

display_name: heterogeneous

interface

display_name: interface

laboratory-study

display_name: laboratory-study

metamorphism

display_name: metamorphism

ozone

display_name: ozone

reaction

display_name: reaction

snow

display_name: snow

solution

display_name: solution

envidat

en: EnviDat: the Environmental Data Portal

en: Data set on bromide oxidation by ozone in snow during metamorphism from laboratory study


en: satellite hazard-mapping avalanche natural-hazard snow

en: SPOT6 Avalanche outlines 24 January 2018

media_type: SHP

en: Shapefile of the manually mapped avalanche outlines. Please only use this data together with the example key document provided with this dataset.

format: SHP

en:
Outlines of 18'737 avalanches mapped from SPOT6 satellite data over the Swiss Alps on 24 January 2018. The outlines have different attributes described in the data example key (ExampleKey_AvalMapping.pdf)

The generation of the data is described in:

Bühler, Y., E. D. Hafner, B. Zweifel, M. Zesiger, and H. Heisig (2019), Where are the avalanches? Rapid SPOT6 satellite data acquisition to map an extreme avalanche period over the Swiss Alps, The Cryosphere, 13(12), 3225-3238, doi:10.5194/tc-13-3225-2019.

Abstract.
Accurate and timely information on avalanche occurrence are key for avalanche warning, crisis management and avalanche documentation. Today such information is mainly available at isolated locations provided by observers in the field. The achieved reliability considering accuracy, completeness and reliability of the reported avalanche events is limited. In this study we present the spatial continuous mapping of a large avalanche period in January 2018 covering the majority of the Swiss Alps (12’500 km2).

We tested different satellite sensors available for rapid mapping during a first avalanche period. Based on these experiences, we tasked SPOT6/7 data for data acquisition to cover the second, much larger avalanche period. We manually mapped the outlines of 18’737 individual avalanche events, applying image enhancement techniques to analyze regions in cast shadow as well as brightly illuminated ones. The resulting dataset of mapped avalanche outlines, having a unique completeness and reliability, is evaluated to produce maps of avalanche occurrence and avalanche size. We validated the mapping of the avalanche outlines using photographs acquired from helicopters just after the avalanche period.

This study demonstrates the applicability of optical, very high spatial resolution satellite data to map an exceptional avalanche period with very high completeness, accuracy and reliability over a large region. The generated avalanche data is of great value to validate avalanche bulletins, complete existing avalanche databases and for research applications by enabling meaningful statistics on important avalanche parameters.

Koordinate System: CH1903+ LV95 LN02

avalanche

display_name: avalanche

hazard-mapping

display_name: hazard-mapping

natural-hazard

display_name: natural-hazard

satellite

display_name: satellite

education

en: Education and science

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.


maintainer: EnviDat

en: nead metadata-convention research-data-management csv meteorological-data-format

en: MeteoIO (future reference implementation)

media_type: text/html

en: NEAD syntax v0.1 (EBNF)

en: PyNEAD (future reference implementation)

en: NEAD on GitHub

media_type: HTML

en:
Acknowledgement: The NEAD format includes NetCDF metadata and is proudly inspired by both SMET and NetCDF formats. NEAD is designed as a long-term data preservation and exchange format.

The NEAD specifications were presented at the "WMO Data Conference 2020 - Earth System Data Exchange in the 21st Century" (Virtual Conference).

-----------------------

Summary:
The Non-Binary Environmental Data Archive (NEAD) format is being developed as a generic and intuitive format that combines the self-documenting features of NetCDF with human readable and writeable features of CSV. It is designed for exchange and preservation of time series data in environmental data repositories.

License: The NEAD specifications are released to the public domain under a Creative Commons CC0 "No Rights Reserved" international license. You can reuse the information contained herein in any way you want, for any purposes and without restrictions.

csv

display_name: csv

metadata-convention

display_name: metadata-convention

meteorological-data-format

display_name: meteorological-data-format

nead

display_name: nead

research-data-management

display_name: research-data-management

en: Non-Binary Environmental Archive Data (NEAD) format


maintainer: Matthias Haeni

en: climate-change swiss-forest-lab meteo precipitation wind-speed par long-term meteorology temperature relative-humidity

en: Data plot of the field station (ISF)

en: Data overview for air temperature, relative humidity, precipitation, PAR, wind speed.

en: Forest station data (ISB)

media_type: text/csv

en: Data file.

en: Site aerial photo (Isone)

en: Site aerial photo from both Isone stations. Source: Google. 2016. Site aerial photo from both Isone stations. Retrieved November 11, 2016, from https://www.google.ch/maps

en: Data plot of the forest station (ISB)

en: Site photo of the field station (ISF)

en: Site photo of the field station from the side.

en: Field station data (ISF)

en: Site photo of the forest station (ISB)

en: Site photo of the forest station from below (viewing upwards the slope).

en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for two meteorological stations in Isone in Switzerland where one station is located within a natural broad-leaved forest stand (ISB) with European beech (_Fagus sylvatica_; 70-100 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, ISF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Isone is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed

en: Isone, Switzerland: Long-term forest meteorological data from the Long-term Forest Ecosystem Research Programme (LWF), from 1997 onwards


maintainer: Mountain Hydrology and Mass Movements

en: earthquake-fatalities ice-avalanche-fatalities landslide-fatalities debris-flow-fatalities windstorm-fatalities lightning-fatalities flood-fatalities rockfall-fatalities natural-hazard-fatalities

media_type: CSV

en: Natural hazard fatalities per year in Swizterland since 1946.

en:
This dataset contains the number of fatalities due to flood, debris flow, landslide, rockfall, windstorm, lightning, ice avalanche, earthquake and other processes like roof avalanche or lacustrine tsunami for each year since 1946.
The following information is contained (by column and column title):

* year
* total number of hazard fatalities
* number of fatalities by flood (German: Hochwasser, Überschwemmung). Flood includes people drowned in flooded or inundated areas or carried away in streams under high-water conditions.
* number of fatalities by debris flow (German: Murgang).
* number of fatalities by landslide (German: Erdrutsch). Landslide includes people killed by landslides and hillslope debris flows (German: Hangmure).
* number of fatalities by rockfall (German: Steinschlag, Fels- und Bergsturz).
* number of fatalities by windstorm (German: Sturm). Windstorm includes people killed by falling objects or trees during very strong wind conditions and people who drowned in lakes because their boat capsized during such conditions.
* number of fatalities by lightning (German: Blitz).
* number of fatalities by ice avalanche (German: Eislawine).
* number of fatalities by earthquake (German: Erdbeben).
* number of fatalities by other processes like roof avalanche, lacustrine tsunami (German: andere Prozesse wie Dachlawine, Tsunami im See).

The data was collected based on newspaper research. For more information please refer to

_Badoux, A., Andres, N., Techel, F., and Hegg, C.: Natural hazard fatalities in Switzerland from 1946 to 2015, Nat. Hazards Earth Syst. Sci., 16, 2747-2768, https://doi.org/10.5194/nhess-16-2747-2016, 2016._

The data collection is financed by the FOEN (with exception of the collection of the avalanche fatalities). The data contains the official statistics of the FOEN on fatalities due to flood, debris flow, landslide, rock fall and avalanche.

Restrictions: The data set is not complete. Only fatalities in or around settlements and on open transportation routes are included. More precisely, fatalities were not collected, when persons exposed themselves to a great danger on purpose. Or fatalities during leisure activities which are connected to a higher risk were not included (this includes e.g. canoeing or river surfing during flood, canyoning, mountaineering, climbing, walking or driving on a closed road).

Fatalities by avalanches are collected at the WSL Institute for Snow and Avalanche Research SLF. You can download the avalanche fatalities per hydrological year [here](https://www.envidat.ch/dataset/avalanche-fatalities-switzerland-1936) and per calendar year [here](https://www.envidat.ch/dataset/avalanche-fatalities-per-calendar-year-since-1936). For a direct comparison with the fatalities presented here, please download the data set with the calendar years and do not consider fatalities in the backcountry (tour) or in terrain close to ski areas (offpiste).

debris-flow-fatalities

display_name: debris-flow-fatalities

earthquake-fatalities

display_name: earthquake-fatalities

flood-fatalities

display_name: flood-fatalities

ice-avalanche-fatalities

display_name: ice-avalanche-fatalities

landslide-fatalities

display_name: landslide-fatalities

lightning-fatalities

display_name: lightning-fatalities

natural-hazard-fatalities

display_name: natural-hazard-fatalities

rockfall-fatalities

display_name: rockfall-fatalities

windstorm-fatalities

display_name: windstorm-fatalities

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: Number of natural hazard fatalities per year in Switzerland since 1946


snow-drift-station-snow-and-air-data

maintainer: Benjamin Walter

title_for_slug: snow-drift-station-snow-and-air-data

en: snow raclets snow-depth snow-height snow-temperature temperature

en: Snow Surface Temperature

en: The snow surface temperature (°C) was measured with a Campbell SI-111 at 0.7 m above ground. The time is given in UTC+1.

en: Snow Depth

en: The snow depth (cm) was measured with a Lufft SHM-31 which was mounted at 1.7 m above ground. The time is given in UTC+1.

en: Relative Humidity

en: The relative humidity (%) was measured with a Campbell CS-215 at a height of 2.2 m above ground. The time is given in UTC+1.

en: Air Temperature

en: The air temperature (°C) was measured with a Campbell CS-215 which was mounted at a height of 2.2 m above ground. The time is given in UTC+1.

en: Snow and air data was monitored at Gotschnagrat (LON: 46.859 LAT: 9.849) by an infrarot radiometer (Campbell SI-111) for snow temperature (°C), a snow height sensor (Lufft SHM-31) for snow height change (cm) and a temperature and humidity sensor (Campbell CS-215) for air temperature (°C) and relative humidity (%). No filter was applied to the sensors and the smapling frequency was 1 Hz.

raclets

display_name: raclets

snow

display_name: snow

snow-depth

display_name: snow-depth

snow-height

display_name: snow-height

snow-temperature

display_name: snow-temperature

en: Snow Drift Station - Snow and Air Data


en: land-use land-use-change urbanization landscape-services statistical-model modeling switzerland

en: Scripts for Assessing potential landscape service trade-offs driven by urbanization in Switzerland

en:
Scripts ordered by their main purpose within sequential folders in this ReadMe marked with

Within the folders the capital letters refer to the parallel or sequential use of the scripts; scripts here in ReadMe are marked with

 00_Function Scripts
 Functions.r
Script containing several functions for analyzing statistical models: cohen.kappa, meva.table, D2, max-Tss, plot-TSS

 Service_functions.R
Script containing functions for calculating all services and returning sums (and median for bd and rec) as well as rasters

 01_Data Preparation
 A_AS_raster_preparation.R
Preparation of the land use rasters for the years 1985, 1997, and 2009 based on the original Arealstatistik (AS/ASCH); Assigning our categories and assining new values to all "construction sites" for calibrating the models
For model projection starting point (2009) and for service calculations (all ASCH years) the "other" categories were assigned to the land use categories based on dominant neighbor, so that there were no empty cells
Creation of water & mountainous area raster that stayed stable throughout the projections
Creation of MFH raster (2009), to have as base for all new projection years, as this category never becames any other

 B_Factors_preparation.R
Preparation of the factor rasters that were used to calculate service values per cell (see Table 2): LWfactor, Transportation, Vol, Rivers, Lakes, slope, TWW, Hazard_risk

 B_Predictors_preparation.R
Preparation of the raster of the predictors used for calibrating (ASCH years) and projecting (stable) the transition models that do not depend on the land use categories: Temperature (ASCH years), solar radiation (stable), Public transportation access (stable), Elevation (stable), Workers density (ASCH years), Population change (ASCH transitions)

 B_Regions_preparation.R
Preparation of bioregions as raster to be used to mask asxxxx later to calculated services and land use area just for one region

 C_Pred_proj.R
Projecting the dynamic predictors into the future for projecting the land use transitions with the model: Linear extrapolations for workers densities and population; more detailed extrapolation of temperature (based on data for all stations that matched between the temp table we used for the calibration period and the projections from CS2M, and then making a spatial interpolation for all years based on the interpolation of temperature for all years per station)

 02_Model calibration
 A_Bioreg_pred_corr.R
Calculating correlation between the predictors for each bioregion and land use category, Output are those with too high correlation so that one predictor can be removed from transitions were both predictors occur

 A_trans_numbers_bioreg.R
Calculate transition numbers for each bioregion to decide which transitions to primarily consider

 B_Bioreg_ext_eval.R
Calculating TSS based on the external evaluation for the bioregion transitions that happened often enough to try to model them (calibration data: 85-97, evaluation data: 97-09)

 B_Bioreg_int_eval.R
Calculating TSS based on the internal evaluation for the bioregion transitions that happened often enough to try to model them (calibration data: 70%, evaluation data: 30%)

 C_Bioreg_TSS_analysis.R
Extracting TSS numbers from internal and external evaluation, calculating mean and median for each transition for each region for each evaluation method and saving as csv per region to be able to select only the transitions with high enough model performance

 D_Bioreg_Models_for_prediction.R
Calibration of the models that were then used to project land use transitions into the future; calibrated separately for each bioregion

 E_Residuals_trans_models.R
Calculation of Moran's I statistics to analyze the residuals of the land use transition models

 03_Projections
 A_Bioreg_Projections_run.R
Master script for: Extrapolaitng into the future with the regional models and then assembling for each time step to calculate new AS predictors; Several Outputs: txt file to test for NAs in Predictors, txt file with random seed number for sampling, txt file with times for calculation steps (check progress of script while running), csv sheet with projected transition frequencies, tif-rasters for every region and time step, pdf with raster plot for every region and time step

 04_Service calculation
 A_Bioreg_as_services.R
Calculate services per bioregion for years 1985, 1997, 2009

 A_Service_calculation_bioregions.R
Extracting service numbers(sums) per bioregions for all projection runs and storing them in a list of matrixes to be available for further plotting; can be run for swiss wide projections or regional ones

 05_Analysis
 A_Bioreg_ASCH_development.R
Extracting the occurrence of each category per region for all runs (first part), then for ASCH years, and then plotting them nicely; only works for regional projections

 A_Bioreg_Predictors_importanceD2.R
Calculating D2 for each transition and each considered predictor from bivariate models to get value of importance

 B_Bioreg_Pred_imp_analysis.R
Using calculated D2 to sort Predictors according to their importance for each transition

 A_Bioreg_Spatial_results_analysis.R
Plotting randomly sampled runs for ASCH and services to analyses their spatial development

 A_Bioreg_Transition_numbers_check_v1.R
Analyzing the frequency for all transitions for all regions and producing the point plots for each transition separately

 A_Bioreg_Transition_numbers_check_v2.R
Analyzing percentage and numbers of all transitions but plotting them per region and originating ASCH category

 B_Transition_Analysis.R
Further Analysis of transition numbers

 A_Service_analysis.R
Plotting of the service development for bioregions in several ways for analyzing

en: Data for Assessing potential landscape service trade-offs driven by urbanization in Switzerland

en:
The provided folder structure follows the set up of the scripts.
Data is only provided when it has been fully produced by us, otherwise dummies are given.
For data that will be produced by one of the scripts, no dummies are given.
The folders may contain sub-folders, which would be filled if the scripts were all run

 00_Analysis_Data
Data produced throughout the process of the calibration and projection that is later needed for analysis

 01_Raw_Data
Primary data from external sources that were used to compile the rasters and numbers used during the calibration and projection of landscape transitions as well as service calculation

 02_Prepared_Data
Data that will be prepared for further use by scripts are put in here
Additionally it contains the parameter sheets for the transition predictors that we compiled

 03_Model_Data
 Model outputs
Folder were the projection models statistics will be saved
 Models
Folder into which the actual transition models will be saved
 Residuals
Folder into which data on models residuals will be saved for future use

 04_Projected_Data
The output of the projections will be saved into this folder

 05_Service_Data
Any service calculations will be saved in here

 06_Results_Analysis
Any Analysis plots and tables as well as intermediate data will be saved here in the respective sub-folder

en:
Data and scripts of publication:

Madleina Gerecke, Oskar Hagen, Janine Bolliger, Anna M. Hersperger, Felix Kienast, Bronwyn Price, Loïc Pellissier (2019) Assessing potential landscape service trade-offs driven by urbanization in Switzerland. Palgrave communications.

Contains land use projections for Switzerland and scripts and data for these projections as well as the calculation of landscape services.

Data Folder:
Contains sub-folder with the data necessary for this study (provided were no copyright issues, otherwise placeholders with descriptions), and folders where produced data may be stored

Scripts Folder:
Contains scripts organized into subfolders depending on their purpose

Note: Some abbreviations within the scripts and data are derived from German words and not English.

land-use

display_name: land-use

land-use-change

display_name: land-use-change

landscape-services

display_name: landscape-services

modeling

display_name: modeling

statistical-model

display_name: statistical-model

switzerland

display_name: switzerland

urbanization

display_name: urbanization

en: Land use projections and services for Switzerland