rm: Resultats finals da la votaziun federala "Änderung vom 17. Dezember 2021 des Bundesgesetzes über die Verrechnungssteuer (Verrechnungssteuergesetz, VStG) (Stärkung des Fremdkapitalmarkts)", 25 da settember 2022, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Änderung vom 17. Dezember 2021 des Bundesgesetzes über die Verrechnungssteuer (Verrechnungssteuergesetz, VStG) (Stärkung des Fremdkapitalmarkts)", 25 septembre 2022, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Änderung vom 17. Dezember 2021 des Bundesgesetzes über die Verrechnungssteuer (Verrechnungssteuergesetz, VStG) (Stärkung des Fremdkapitalmarkts)", 25. September 2022, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Änderung vom 17. Dezember 2021 des Bundesgesetzes über die Verrechnungssteuer (Verrechnungssteuergesetz, VStG) (Stärkung des Fremdkapitalmarkts)", 25 settembre 2022, Kanton Zug, suddivisi per municipalit.


maintainer: Staatskanzlei Zug

fr: federal votation

de: national abstimmung

it: nazionale votazione

label: Description du format

label: Descripziun dal format

label: Descrizione del formato

label: Formatbeschreibung

state: active

type: dataset

media_type: text/csv

format: CSV

mimetype: text/csv

identifier: csv

media_type: application/json

format: JSON

mimetype: application/json

identifier: json

rm: Resultats finals da la votaziun federala "Volksinitiative «Zersiedelung stoppen – für eine nachhaltige Siedlungsentwicklung (Zersiedelungsinitiative)»", 10 da favrer 2019, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Volksinitiative «Zersiedelung stoppen – für eine nachhaltige Siedlungsentwicklung (Zersiedelungsinitiative)»", 10 février 2019, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Volksinitiative «Zersiedelung stoppen – für eine nachhaltige Siedlungsentwicklung (Zersiedelungsinitiative)»", 10. Februar 2019, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Volksinitiative «Zersiedelung stoppen – für eine nachhaltige Siedlungsentwicklung (Zersiedelungsinitiative)»", 10 febbraio 2019, Kanton Zug, suddivisi per municipalit.

abstimmung

display_name: abstimmung

federal

display_name: federal

national

display_name: national

nazionale

display_name: nazionale

plaun-naziunal

display_name: plaun-naziunal

votation

display_name: votation

votazione

display_name: votazione

votaziun

display_name: votaziun

politics

fr: Politique

de: Politik

en: Politics

it: Politica

staatskanzlei-zug

de: Staatskanzlei Zug

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

political_level: canton

kanton-zug

capacity: public

type: organization

approval_status: approved

key: guid

key: uri

value: ZG-Kt - Staatskanzlei - DCAT Harvester


fr: municipal election

de: kommunal wahl

it: comunale elezione

identifier: parties-csv

identifier: parties-json

rm: Resultats finals da l'elecziun federala "Kantonsratswahl 2014 Gemeinde Cham", 5 d’october 2014, Kanton Zug, resultats da tut las candidatas e da tut ils candidats tenor vischnancas.

fr: Résultats finaux de l'élection fédérale "Kantonsratswahl 2014 Gemeinde Cham", 5 octobre 2014, Kanton Zug, répartis par municipalités et par candidats.

de: Schlussresultate der eidgenössischen Wahl "Kantonsratswahl 2014 Gemeinde Cham", 5. Oktober 2014, Kanton Zug, aufgeschlüsselt nach Kandidaten und Gemeinden.

it: Risultati finali della elezione federale "Kantonsratswahl 2014 Gemeinde Cham", 5 ottobre 2014, Kanton Zug, suddivisi per municipalit e candidati.

comunale

display_name: comunale

election

display_name: election

elecziun

display_name: elecziun

elezione

display_name: elezione

kommunal

display_name: kommunal

municipal

display_name: municipal

plaun-communal

display_name: plaun-communal

wahl

display_name: wahl

rm: Kantonsratswahl 2014 Gemeinde Cham

fr: Kantonsratswahl 2014 Gemeinde Cham

de: Kantonsratswahl 2014 Gemeinde Cham

it: Kantonsratswahl 2014 Gemeinde Cham


rm: Resultats finals da la votaziun federala "Änderung vom 27. September 2019 des Bundesgesetzes über die direkte Bundessteuer (DBG) (Steuerliche Berücksichtigung der Kinderdrittbetreuungskosten)", 27 da settember 2020, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Änderung vom 27. September 2019 des Bundesgesetzes über die direkte Bundessteuer (DBG) (Steuerliche Berücksichtigung der Kinderdrittbetreuungskosten)", 27 septembre 2020, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Änderung vom 27. September 2019 des Bundesgesetzes über die direkte Bundessteuer (DBG) (Steuerliche Berücksichtigung der Kinderdrittbetreuungskosten)", 27. September 2020, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Änderung vom 27. September 2019 des Bundesgesetzes über die direkte Bundessteuer (DBG) (Steuerliche Berücksichtigung der Kinderdrittbetreuungskosten)", 27 settembre 2020, Kanton Zug, suddivisi per municipalit.


de: abstimmung national

rm: Resultats finals da la votaziun federala "Volksinitiative vom 23. Februar 2009 «Für den Schutz vor Waffengewalt»", 13 da favrer 2011, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Volksinitiative vom 23. Februar 2009 «Für den Schutz vor Waffengewalt»", 13 février 2011, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Volksinitiative vom 23. Februar 2009 «Für den Schutz vor Waffengewalt»", 13. Februar 2011, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Volksinitiative vom 23. Februar 2009 «Für den Schutz vor Waffengewalt»", 13 febbraio 2011, Kanton Zug, suddivisi per municipalit.


fr: election cantonal

de: wahl kantonal

it: cantonale elezione

rm: Resultats finals da l'elecziun chantunala "Regierungsratswahl 2018", 7 d’october 2018, Kanton Zug, resultats da tut las candidatas e da tut ils candidats tenor vischnancas.

fr: Résultats finaux de l'élection cantonale "Regierungsratswahl 2018", 7 octobre 2018, Kanton Zug, répartis par municipalités et par candidats.

de: Schlussresultate der kantonalen Wahl "Regierungsratswahl 2018", 7. Oktober 2018, Kanton Zug, aufgeschlüsselt nach Kandidaten und Gemeinden.

it: Risultati finali della elezione cantonale "Regierungsratswahl 2018", 7 ottobre 2018, Kanton Zug, suddivisi per municipalit e candidati.

cantonal

display_name: cantonal

cantonale

display_name: cantonale

kantonal

display_name: kantonal

plaun-chantunal

display_name: plaun-chantunal

rm: Regierungsratswahl 2018

fr: Regierungsratswahl 2018

de: Regierungsratswahl 2018

it: Regierungsratswahl 2018


fr: votation federal

it: votazione nazionale

rm: Resultats finals da la votaziun federala "Übernahme der EU-Verordnung über die Europäische Grenz- und Küstenwache (Weiterentwicklung des Schengen-Besitzstands)", 15 da matg 2022, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Übernahme der EU-Verordnung über die Europäische Grenz- und Küstenwache (Weiterentwicklung des Schengen-Besitzstands)", 15 mai 2022, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Übernahme der EU-Verordnung über die Europäische Grenz- und Küstenwache (Weiterentwicklung des Schengen-Besitzstands)", 15. Mai 2022, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Übernahme der EU-Verordnung über die Europäische Grenz- und Küstenwache (Weiterentwicklung des Schengen-Besitzstands)", 15 maggio 2022, Kanton Zug, suddivisi per municipalit.

abstimmung

display_name: abstimmung

federal

display_name: federal

national

display_name: national

nazionale

display_name: nazionale


fr: cantonal election

it: elezione cantonale

rm: Resultats finals da l'elecziun chantunala "Ergänzungswahl für ein Mitglied des Verwaltungsgerichts", 28 da november 2021, Kanton Zug, resultats da tut las candidatas e da tut ils candidats tenor vischnancas.

fr: Résultats finaux de l'élection cantonale "Ergänzungswahl für ein Mitglied des Verwaltungsgerichts", 28 novembre 2021, Kanton Zug, répartis par municipalités et par candidats.

de: Schlussresultate der kantonalen Wahl "Ergänzungswahl für ein Mitglied des Verwaltungsgerichts", 28. November 2021, Kanton Zug, aufgeschlüsselt nach Kandidaten und Gemeinden.

it: Risultati finali della elezione cantonale "Ergänzungswahl für ein Mitglied des Verwaltungsgerichts", 28 novembre 2021, Kanton Zug, suddivisi per municipalit e candidati.


fr: cantonal votation

de: kantonal abstimmung

it: cantonale votazione

rm: Resultats finals da la votaziun chantunala "Verfassungsänderung zur «Unvereinbarkeit für Regierungsratsmitglieder»", 22 da settember 2013, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote cantonal "Verfassungsänderung zur «Unvereinbarkeit für Regierungsratsmitglieder»", 22 septembre 2013, Kanton Zug, répartis par municipalités.

de: Schlussresultate der kantonalen Abstimmung "Verfassungsänderung zur «Unvereinbarkeit für Regierungsratsmitglieder»", 22. September 2013, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione cantonale "Verfassungsänderung zur «Unvereinbarkeit für Regierungsratsmitglieder»", 22 settembre 2013, Kanton Zug, suddivisi per municipalit.

votation

display_name: votation

votazione

display_name: votazione

votaziun

display_name: votaziun


de: national abstimmung

it: nazionale votazione

rm: Resultats finals da la votaziun federala "Bundesbeschluss vom 14. März 2017 über die Ernährungssicherheit", 24 da settember 2017, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Bundesbeschluss vom 14. März 2017 über die Ernährungssicherheit", 24 septembre 2017, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Bundesbeschluss vom 14. März 2017 über die Ernährungssicherheit", 24. September 2017, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Bundesbeschluss vom 14. März 2017 über die Ernährungssicherheit", 24 settembre 2017, Kanton Zug, suddivisi per municipalit.

plaun-naziunal

display_name: plaun-naziunal


fr: election municipal

rm: Resultats finals da l'elecziun federala "Kantonsratswahl 2018 Gde Cham", 7 d’october 2018, Kanton Zug, resultats da tut las candidatas e da tut ils candidats tenor vischnancas.

fr: Résultats finaux de l'élection fédérale "Kantonsratswahl 2018 Gde Cham", 7 octobre 2018, Kanton Zug, répartis par municipalités et par candidats.

de: Schlussresultate der eidgenössischen Wahl "Kantonsratswahl 2018 Gde Cham", 7. Oktober 2018, Kanton Zug, aufgeschlüsselt nach Kandidaten und Gemeinden.

it: Risultati finali della elezione federale "Kantonsratswahl 2018 Gde Cham", 7 ottobre 2018, Kanton Zug, suddivisi per municipalit e candidati.

comunale

display_name: comunale

election

display_name: election

elecziun

display_name: elecziun

elezione

display_name: elezione

politics

de: Politik

it: Politica

staatskanzlei-zug

de: Staatskanzlei Zug

rm: Kantonsratswahl 2018 Gde Cham

fr: Kantonsratswahl 2018 Gde Cham

de: Kantonsratswahl 2018 Gde Cham

it: Kantonsratswahl 2018 Gde Cham


rm: Resultats finals da la votaziun federala "Volksinitiative vom 17. Dezember 2012 «Energie- statt Mehrwertsteuer»", 8 da mars 2015, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Volksinitiative vom 17. Dezember 2012 «Energie- statt Mehrwertsteuer»", 8 mars 2015, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Volksinitiative vom 17. Dezember 2012 «Energie- statt Mehrwertsteuer»", 8. März 2015, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Volksinitiative vom 17. Dezember 2012 «Energie- statt Mehrwertsteuer»", 8 marzo 2015, Kanton Zug, suddivisi per municipalit.

politics

fr: Politique

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


fr: federal votation

de: abstimmung national

rm: Resultats finals da la votaziun federala "Volksinitiative vom 18. Oktober 2016 «Mehr bezahlbare Wohnungen»", 9 da favrer 2020, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Volksinitiative vom 18. Oktober 2016 «Mehr bezahlbare Wohnungen»", 9 février 2020, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Volksinitiative vom 18. Oktober 2016 «Mehr bezahlbare Wohnungen»", 9. Februar 2020, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Volksinitiative vom 18. Oktober 2016 «Mehr bezahlbare Wohnungen»", 9 febbraio 2020, Kanton Zug, suddivisi per municipalit.


rm: Resultats finals da la votaziun chantunala "«Entlastungsprogramm 2015–2018 (Paket 2), Rahmenbeschluss für Gesetzesänderungen»", 27 da november 2016, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote cantonal "«Entlastungsprogramm 2015–2018 (Paket 2), Rahmenbeschluss für Gesetzesänderungen»", 27 novembre 2016, Kanton Zug, répartis par municipalités.

de: Schlussresultate der kantonalen Abstimmung "«Entlastungsprogramm 2015–2018 (Paket 2), Rahmenbeschluss für Gesetzesänderungen»", 27. November 2016, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione cantonale "«Entlastungsprogramm 2015–2018 (Paket 2), Rahmenbeschluss für Gesetzesänderungen»", 27 novembre 2016, Kanton Zug, suddivisi per municipalit.


rm: Resultats finals da la votaziun federala "Bundesbeschluss vom 16. Juni 2017 über die neue Finanzordnung 2021", 4 da mars 2018, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Bundesbeschluss vom 16. Juni 2017 über die neue Finanzordnung 2021", 4 mars 2018, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Bundesbeschluss vom 16. Juni 2017 über die neue Finanzordnung 2021", 4. März 2018, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Bundesbeschluss vom 16. Juni 2017 über die neue Finanzordnung 2021", 4 marzo 2018, Kanton Zug, suddivisi per municipalit.


rm: Resultats finals da la votaziun federala "Bundesgesetz vom 17. März 2017 über die Reform der Altersvorsorge 2020", 24 da settember 2017, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Bundesgesetz vom 17. März 2017 über die Reform der Altersvorsorge 2020", 24 septembre 2017, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Bundesgesetz vom 17. März 2017 über die Reform der Altersvorsorge 2020", 24. September 2017, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Bundesgesetz vom 17. März 2017 über die Reform der Altersvorsorge 2020", 24 settembre 2017, Kanton Zug, suddivisi per municipalit.


rm: Resultats finals da la votaziun federala "Volksinitiative vom 4. Oktober 2013 «Für ein bedingungsloses Grundeinkommen» (BBl 2015 9553)", 5 da zercladur 2016, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Volksinitiative vom 4. Oktober 2013 «Für ein bedingungsloses Grundeinkommen» (BBl 2015 9553)", 5 juin 2016, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Volksinitiative vom 4. Oktober 2013 «Für ein bedingungsloses Grundeinkommen» (BBl 2015 9553)", 5. Juni 2016, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Volksinitiative vom 4. Oktober 2013 «Für ein bedingungsloses Grundeinkommen» (BBl 2015 9553)", 5 giugno 2016, Kanton Zug, suddivisi per municipalit.


it: votazione nazionale

rm: Resultats finals da la votaziun federala "Änderung vom 12. Dezember 2014 des Bundesgesetzes über die medizinisch unterstützte Fortpflanzung (Fortpflanzungsmedizingesetz, FMedG) (BBl 2015 6301)", 5 da zercladur 2016, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Änderung vom 12. Dezember 2014 des Bundesgesetzes über die medizinisch unterstützte Fortpflanzung (Fortpflanzungsmedizingesetz, FMedG) (BBl 2015 6301)", 5 juin 2016, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Änderung vom 12. Dezember 2014 des Bundesgesetzes über die medizinisch unterstützte Fortpflanzung (Fortpflanzungsmedizingesetz, FMedG) (BBl 2015 6301)", 5. Juni 2016, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Änderung vom 12. Dezember 2014 des Bundesgesetzes über die medizinisch unterstützte Fortpflanzung (Fortpflanzungsmedizingesetz, FMedG) (BBl 2015 6301)", 5 giugno 2016, Kanton Zug, suddivisi per municipalit.


fr: votation federal

rm: Resultats finals da la votaziun federala "Volksinitiative vom 18. November 2005 "für demokratische Einbürgerungen"", 1 da zercladur 2008, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Volksinitiative vom 18. November 2005 "für demokratische Einbürgerungen"", 1 juin 2008, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Volksinitiative vom 18. November 2005 "für demokratische Einbürgerungen"", 1. Juni 2008, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Volksinitiative vom 18. November 2005 "für demokratische Einbürgerungen"", 1 giugno 2008, Kanton Zug, suddivisi per municipalit.


rm: Resultats finals da la votaziun federala "Volksinitiative vom 20. April 2011 «Pädophile sollen nicht mehr mit Kindern arbeiten dürfen»", 18 da matg 2014, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Volksinitiative vom 20. April 2011 «Pädophile sollen nicht mehr mit Kindern arbeiten dürfen»", 18 mai 2014, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Volksinitiative vom 20. April 2011 «Pädophile sollen nicht mehr mit Kindern arbeiten dürfen»", 18. Mai 2014, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Volksinitiative vom 20. April 2011 «Pädophile sollen nicht mehr mit Kindern arbeiten dürfen»", 18 maggio 2014, Kanton Zug, suddivisi per municipalit.


de: national abstimmung

rm: Resultats finals da la votaziun federala "Volksinitiative vom 30. März 2016 «Für Ernährungssouveränität. Die Landwirtschaft betrifft uns alle»", 23 da settember 2018, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Volksinitiative vom 30. März 2016 «Für Ernährungssouveränität. Die Landwirtschaft betrifft uns alle»", 23 septembre 2018, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Volksinitiative vom 30. März 2016 «Für Ernährungssouveränität. Die Landwirtschaft betrifft uns alle»", 23. September 2018, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Volksinitiative vom 30. März 2016 «Für Ernährungssouveränität. Die Landwirtschaft betrifft uns alle»", 23 settembre 2018, Kanton Zug, suddivisi per municipalit.


fr: votation cantonal

de: abstimmung kantonal

it: votazione cantonale

rm: Resultats finals da la votaziun chantunala "Gesetzesinitiative für längere Ladenöffnungszeiten", 7 da mars 2021, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote cantonal "Gesetzesinitiative für längere Ladenöffnungszeiten", 7 mars 2021, Kanton Zug, répartis par municipalités.

de: Schlussresultate der kantonalen Abstimmung "Gesetzesinitiative für längere Ladenöffnungszeiten", 7. März 2021, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione cantonale "Gesetzesinitiative für längere Ladenöffnungszeiten", 7 marzo 2021, Kanton Zug, suddivisi per municipalit.


steuergesetzrevision

title_for_slug: steuergesetzrevision

fr: cantonal votation

de: kantonal abstimmung

it: cantonale votazione

rm: Resultats finals da la votaziun chantunala "Steuergesetzrevision", 27 da november 2011, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote cantonal "Steuergesetzrevision", 27 novembre 2011, Kanton Zug, répartis par municipalités.

de: Schlussresultate der kantonalen Abstimmung "Steuergesetzrevision", 27. November 2011, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione cantonale "Steuergesetzrevision", 27 novembre 2011, Kanton Zug, suddivisi per municipalit.

de: Politik

staatskanzlei-zug

de: Staatskanzlei Zug

rm: Steuergesetzrevision

fr: Steuergesetzrevision

de: Steuergesetzrevision

it: Steuergesetzrevision


de: abstimmung national

rm: Resultats finals da la votaziun federala "Volksinitiative vom 2. November 2012 «Stopp der Überbevölkerung - zur Sicherung der natürlichen Lebensgrundlagen»", 30 da november 2014, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Volksinitiative vom 2. November 2012 «Stopp der Überbevölkerung - zur Sicherung der natürlichen Lebensgrundlagen»", 30 novembre 2014, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Volksinitiative vom 2. November 2012 «Stopp der Überbevölkerung - zur Sicherung der natürlichen Lebensgrundlagen»", 30. November 2014, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Volksinitiative vom 2. November 2012 «Stopp der Überbevölkerung - zur Sicherung der natürlichen Lebensgrundlagen»", 30 novembre 2014, Kanton Zug, suddivisi per municipalit.

politics

fr: Politique

it: Politica

staatskanzlei-zug

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


rm: Resultats finals da la votaziun chantunala "Änderung des Steuergesetzes vom 29. Mai 2008", 30 da november 2008, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote cantonal "Änderung des Steuergesetzes vom 29. Mai 2008", 30 novembre 2008, Kanton Zug, répartis par municipalités.

de: Schlussresultate der kantonalen Abstimmung "Änderung des Steuergesetzes vom 29. Mai 2008", 30. November 2008, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione cantonale "Änderung des Steuergesetzes vom 29. Mai 2008", 30 novembre 2008, Kanton Zug, suddivisi per municipalit.


rm: Resultats finals da la votaziun chantunala "Änderung der Kantonsverfassung - Anpassung an das Erwachsenenschutzrecht", 10 da zercladur 2018, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote cantonal "Änderung der Kantonsverfassung - Anpassung an das Erwachsenenschutzrecht", 10 juin 2018, Kanton Zug, répartis par municipalités.

de: Schlussresultate der kantonalen Abstimmung "Änderung der Kantonsverfassung - Anpassung an das Erwachsenenschutzrecht", 10. Juni 2018, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione cantonale "Änderung der Kantonsverfassung - Anpassung an das Erwachsenenschutzrecht", 10 giugno 2018, Kanton Zug, suddivisi per municipalit.


rm: Resultats finals da la votaziun federala "Bundesbeschluss über die Schaffung eines Fonds für die Nationalstrassen und den Agglomerationsverkehr (NAF)", 12 da favrer 2017, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Bundesbeschluss über die Schaffung eines Fonds für die Nationalstrassen und den Agglomerationsverkehr (NAF)", 12 février 2017, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Bundesbeschluss über die Schaffung eines Fonds für die Nationalstrassen und den Agglomerationsverkehr (NAF)", 12. Februar 2017, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Bundesbeschluss über die Schaffung eines Fonds für die Nationalstrassen und den Agglomerationsverkehr (NAF)", 12 febbraio 2017, Kanton Zug, suddivisi per municipalit.


it: nazionale votazione

rm: Resultats finals da la votaziun federala "Volksinitiative vom 17. Dezember 2013 «AHVplus: für eine starke AHV»", 25 da settember 2016, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Volksinitiative vom 17. Dezember 2013 «AHVplus: für eine starke AHV»", 25 septembre 2016, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Volksinitiative vom 17. Dezember 2013 «AHVplus: für eine starke AHV»", 25. September 2016, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Volksinitiative vom 17. Dezember 2013 «AHVplus: für eine starke AHV»", 25 settembre 2016, Kanton Zug, suddivisi per municipalit.


rm: Resultats finals da la votaziun chantunala "Totalrevision des Gesetzes über die Gebäudeversicherung (Behördenreferendum)", 21 da matg 2017, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote cantonal "Totalrevision des Gesetzes über die Gebäudeversicherung (Behördenreferendum)", 21 mai 2017, Kanton Zug, répartis par municipalités.

de: Schlussresultate der kantonalen Abstimmung "Totalrevision des Gesetzes über die Gebäudeversicherung (Behördenreferendum)", 21. Mai 2017, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione cantonale "Totalrevision des Gesetzes über die Gebäudeversicherung (Behördenreferendum)", 21 maggio 2017, Kanton Zug, suddivisi per municipalit.


rm: Resultats finals da la votaziun chantunala "Verfassungsänderungen zur Anpassung der Kantonsverfassung an das neue eidgenössische Prozessrecht - b. Zur Präzisierung der Immunitätsbestimmung", 28 da november 2010, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote cantonal "Verfassungsänderungen zur Anpassung der Kantonsverfassung an das neue eidgenössische Prozessrecht - b. Zur Präzisierung der Immunitätsbestimmung", 28 novembre 2010, Kanton Zug, répartis par municipalités.

de: Schlussresultate der kantonalen Abstimmung "Verfassungsänderungen zur Anpassung der Kantonsverfassung an das neue eidgenössische Prozessrecht - b. Zur Präzisierung der Immunitätsbestimmung", 28. November 2010, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione cantonale "Verfassungsänderungen zur Anpassung der Kantonsverfassung an das neue eidgenössische Prozessrecht - b. Zur Präzisierung der Immunitätsbestimmung", 28 novembre 2010, Kanton Zug, suddivisi per municipalit.


fr: election cantonal

de: wahl kantonal

it: elezione cantonale

rm: Resultats finals da l'elecziun chantunala "Erneuerungswahl der Mitglieder des Verwaltungsgerichts für die Amtsperiode 2019-2024", 24 da zercladur 2018, Kanton Zug, resultats da tut las candidatas e da tut ils candidats tenor vischnancas.

fr: Résultats finaux de l'élection cantonale "Erneuerungswahl der Mitglieder des Verwaltungsgerichts für die Amtsperiode 2019-2024", 24 juin 2018, Kanton Zug, répartis par municipalités et par candidats.

de: Schlussresultate der kantonalen Wahl "Erneuerungswahl der Mitglieder des Verwaltungsgerichts für die Amtsperiode 2019-2024", 24. Juni 2018, Kanton Zug, aufgeschlüsselt nach Kandidaten und Gemeinden.

it: Risultati finali della elezione cantonale "Erneuerungswahl der Mitglieder des Verwaltungsgerichts für die Amtsperiode 2019-2024", 24 giugno 2018, Kanton Zug, suddivisi per municipalit e candidati.

wahl

display_name: wahl


fr: election municipal

de: wahl kommunal

it: comunale elezione

rm: Resultats finals da l'elecziun federala "Kantonsratswahl 2014 Gemeinde Menzingen", 5 d’october 2014, Kanton Zug, resultats da tut las candidatas e da tut ils candidats tenor vischnancas.

fr: Résultats finaux de l'élection fédérale "Kantonsratswahl 2014 Gemeinde Menzingen", 5 octobre 2014, Kanton Zug, répartis par municipalités et par candidats.

de: Schlussresultate der eidgenössischen Wahl "Kantonsratswahl 2014 Gemeinde Menzingen", 5. Oktober 2014, Kanton Zug, aufgeschlüsselt nach Kandidaten und Gemeinden.

it: Risultati finali della elezione federale "Kantonsratswahl 2014 Gemeinde Menzingen", 5 ottobre 2014, Kanton Zug, suddivisi per municipalit e candidati.

kommunal

display_name: kommunal

municipal

display_name: municipal

plaun-communal

display_name: plaun-communal

rm: Kantonsratswahl 2014 Gemeinde Menzingen

fr: Kantonsratswahl 2014 Gemeinde Menzingen

de: Kantonsratswahl 2014 Gemeinde Menzingen

it: Kantonsratswahl 2014 Gemeinde Menzingen


de: kommunal wahl

rm: Resultats finals da l'elecziun federala "Kantonsratswahl 2018 Stadt Zug", 7 d’october 2018, Kanton Zug, resultats da tut las candidatas e da tut ils candidats tenor vischnancas.

fr: Résultats finaux de l'élection fédérale "Kantonsratswahl 2018 Stadt Zug", 7 octobre 2018, Kanton Zug, répartis par municipalités et par candidats.

de: Schlussresultate der eidgenössischen Wahl "Kantonsratswahl 2018 Stadt Zug", 7. Oktober 2018, Kanton Zug, aufgeschlüsselt nach Kandidaten und Gemeinden.

it: Risultati finali della elezione federale "Kantonsratswahl 2018 Stadt Zug", 7 ottobre 2018, Kanton Zug, suddivisi per municipalit e candidati.

politics

de: Politik

rm: Kantonsratswahl 2018 Stadt Zug

fr: Kantonsratswahl 2018 Stadt Zug

de: Kantonsratswahl 2018 Stadt Zug

it: Kantonsratswahl 2018 Stadt Zug


freizugigkeitsabkommen-schweiz-eu

title_for_slug: freizugigkeitsabkommen-schweiz-eu

fr: federal votation

de: abstimmung national

rm: Resultats finals da la votaziun federala "Freizügigkeitsabkommen Schweiz-EU", 8 da favrer 2009, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Freizügigkeitsabkommen Schweiz-EU", 8 février 2009, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Freizügigkeitsabkommen Schweiz-EU", 8. Februar 2009, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Freizügigkeitsabkommen Schweiz-EU", 8 febbraio 2009, Kanton Zug, suddivisi per municipalit.

staatskanzlei-zug

de: Staatskanzlei Zug

rm: Freizügigkeitsabkommen Schweiz-EU

fr: Freizügigkeitsabkommen Schweiz-EU

de: Freizügigkeitsabkommen Schweiz-EU

it: Freizügigkeitsabkommen Schweiz-EU


fr: votation federal

de: national abstimmung

it: votazione nazionale

rm: Resultats finals da la votaziun federala "Bundesbeschluss vom 20. Dezember 2019 über die Genehmigung des Umfassenden Wirtschaftspartnerschaftsabkommens zwischen den EFTA-Staaten und Indonesien", 7 da mars 2021, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Bundesbeschluss vom 20. Dezember 2019 über die Genehmigung des Umfassenden Wirtschaftspartnerschaftsabkommens zwischen den EFTA-Staaten und Indonesien", 7 mars 2021, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Bundesbeschluss vom 20. Dezember 2019 über die Genehmigung des Umfassenden Wirtschaftspartnerschaftsabkommens zwischen den EFTA-Staaten und Indonesien", 7. März 2021, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Bundesbeschluss vom 20. Dezember 2019 über die Genehmigung des Umfassenden Wirtschaftspartnerschaftsabkommens zwischen den EFTA-Staaten und Indonesien", 7 marzo 2021, Kanton Zug, suddivisi per municipalit.

politics

fr: Politique

it: Politica

staatskanzlei-zug

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


rm: Resultats finals da la votaziun federala "Volksinitiative vom 5. November 2012 «Familien stärken! Steuerfreie Kinder- und Ausbildungszulagen»", 8 da mars 2015, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Volksinitiative vom 5. November 2012 «Familien stärken! Steuerfreie Kinder- und Ausbildungszulagen»", 8 mars 2015, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Volksinitiative vom 5. November 2012 «Familien stärken! Steuerfreie Kinder- und Ausbildungszulagen»", 8. März 2015, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Volksinitiative vom 5. November 2012 «Familien stärken! Steuerfreie Kinder- und Ausbildungszulagen»", 8 marzo 2015, Kanton Zug, suddivisi per municipalit.


fr: election federal

de: national wahl

it: nazionale elezione

rm: Resultats finals da l'elecziun federala "Ständeratswahl 2011", 23 d’october 2011, Kanton Zug, resultats da tut las candidatas e da tut ils candidats tenor vischnancas.

fr: Résultats finaux de l'élection fédérale "Ständeratswahl 2011", 23 octobre 2011, Kanton Zug, répartis par municipalités et par candidats.

de: Schlussresultate der eidgenössischen Wahl "Ständeratswahl 2011", 23. Oktober 2011, Kanton Zug, aufgeschlüsselt nach Kandidaten und Gemeinden.

it: Risultati finali della elezione federale "Ständeratswahl 2011", 23 ottobre 2011, Kanton Zug, suddivisi per municipalit e candidati.

rm: Ständeratswahl 2011

fr: Ständeratswahl 2011

de: Ständeratswahl 2011

it: Ständeratswahl 2011


maintainer: OGD-Koordinationsstelle Kanton Thurgau

de: betreuungsangebot hort kinderbetreuung schulerganzend

de: csv

de: Schulergänzende Kinderbetreuung Kanton Thurgau (Stand August 2020) (csv)

license: CC By 4.0

de: json

de: Schulergänzende Kinderbetreuung Kanton Thurgau (Stand August 2020) (json)

de: Der Datensatz enthält eine Auflistung der Betreuungsangebote im Kanton Thurgau mit Informationen zum Standort, der Anzahl bewilligter Plätze, der Trägerschaft (Rechtsform) und der Qualitätslabel.Datenstand:  August 2020

betreuungsangebot

display_name: betreuungsangebot

hort

display_name: hort

kinderbetreuung

display_name: kinderbetreuung

schulerganzend

display_name: schulerganzend

population

fr: Population

de: Bevölkerung

en: Population

it: Popolazione

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


fr: cantonal votation

de: kantonal abstimmung

it: cantonale votazione

rm: Resultats finals da la votaziun chantunala "Verfassungsänderung betreffend Leistungsauftrag und Globalbudget für die kantonale Verwaltung", 28 da november 2010, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote cantonal "Verfassungsänderung betreffend Leistungsauftrag und Globalbudget für die kantonale Verwaltung", 28 novembre 2010, Kanton Zug, répartis par municipalités.

de: Schlussresultate der kantonalen Abstimmung "Verfassungsänderung betreffend Leistungsauftrag und Globalbudget für die kantonale Verwaltung", 28. November 2010, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione cantonale "Verfassungsänderung betreffend Leistungsauftrag und Globalbudget für die kantonale Verwaltung", 28 novembre 2010, Kanton Zug, suddivisi per municipalit.

abstimmung

display_name: abstimmung

cantonal

display_name: cantonal

cantonale

display_name: cantonale

kantonal

display_name: kantonal

plaun-chantunal

display_name: plaun-chantunal

politics

de: Politik

staatskanzlei-zug

de: Staatskanzlei Zug


verlangerung-der-fristen

title_for_slug: verlangerung-der-fristen

fr: votation cantonal

de: abstimmung kantonal

it: votazione cantonale

rm: Resultats finals da la votaziun chantunala "Verlängerung der Fristen", 7 da mars 2010, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote cantonal "Verlängerung der Fristen", 7 mars 2010, Kanton Zug, répartis par municipalités.

de: Schlussresultate der kantonalen Abstimmung "Verlängerung der Fristen", 7. März 2010, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione cantonale "Verlängerung der Fristen", 7 marzo 2010, Kanton Zug, suddivisi per municipalit.

votation

display_name: votation

votazione

display_name: votazione

votaziun

display_name: votaziun

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

rm: Verlängerung der Fristen

fr: Verlängerung der Fristen

de: Verlängerung der Fristen

it: Verlängerung der Fristen


intratrait

maintainer: Christian Rixen

title_for_slug: intratrait

en: elevation-gradient climate-change elevation-range cold-adapted-plants plant-traits neighbour-interactions

media_type: CSV

en: Plant trait data along elevation gradients on mountains

media_type: R

format: SERVICE

en:
This data set was used to test whether species specialized to high elevations or with narrow elevational ranges show more conservative (i.e. less variable) trait responses across their elevational distribution, or in response to neighbours, than species from lower elevations or with wider elevational ranges. We did so by studying intraspecific trait variation of 66 species along 40 elevational gradients in four countries (Switzerland, Australia, New Zealand, China) in both hemispheres. As an indication of potential neighbour interactions that could drive trait variation, we also analysed plant species’ height ratio, its height relative to its nearest neighbour.
The following traits and parameters were measured and are available in this data set:
As an indication of plant stature, we measured vegetative and generative height, where vegetative height was distance from soil to highest vegetative leaf and generative height was distance to the highest point on the reproductive shoot. As a measure of reproductive investment, we noted the presence of flowers on the randomly chosen individuals (see below). As a measure of individual and genet basal area, we measured individual plant and patch diameters, in two dimensions (along the largest diameter and perpendicular to it). In clonal plant species, plant diameter was equivalent to an individual rosette, whereas patch diameter referred to the whole genet and could represent the size of a tuft, tussock or cushion. For genera with more singular growth forms (e.g., some Gentiana species) plant and patch diameter were the same. The two diameter measurements were made at right angles, allowing estimates of patch and plant areas to be calculated as an ellipse (i.e., area = 0.5 a 0.5 b Π). All traits were measured on ten randomly selected individuals per site. Flower count data was considered in a binary fashion on a per individual basis (because for some species individuals only produce one flower when flowering) so that the presence or absence of flower(s) was a nominal value between 0 and 10 for each species at each site. We then collected at least three leaves (up to 30 for small and light leaves) from each of the first three individuals selected from each species for determination of leaf dry matter content (LDMC) and specific leaf area (SLA). For calculations of LDMC and SLA, fresh leaves were scanned on a flatbed scanner to determine leaf area. Leaves were then weighed on a balance to a precision of +/- 0.001g, prior to being air dried and reweighed with a balance to a precision of +/- 0.0001g. LDMC was calculated by dividing dry leaf mass by fresh leaf mass. SLA was calculated by dividing leaf area by dry leaf mass. Additionally, within an area of 10 cm diameter around the target individual, we determined the tallest neighbouring species and measured its vegetative and generative height, and estimated the percent cover of the target species, other vegetation, rock, and bare soil.
For more details see Rixen et al. 2022, Journal of Ecology.

climate-change

display_name: climate-change

cold-adapted-plants

display_name: cold-adapted-plants

elevation-gradient

display_name: elevation-gradient

elevation-range

display_name: elevation-range

neighbour-interactions

display_name: neighbour-interactions

plant-traits

display_name: plant-traits

education

fr: Education, science

de: Bildung, Wissenschaft

en: Education and science

it: Formazione e scienza

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: intratrait


weather-station-klosters

maintainer: Maxime Hervo

title_for_slug: weather-station-klosters

en: raclets wind temperature weather precipitation klosters

en: Weather Station Klosters

media_type: application/zip

en: All in one weather station measuring temperature (°C), humidity (%), wind (m s‾ ¹) and precipitation type. The time format is: number of days from January 0, 0000, UTC.

format: ZIP

mimetype: application/zip

en: A weather station (Lufft WS600) measured meteorological parameters at Klosters (LON: 9.880413, LAT: 46.869019). Detailed information on the specifications can be found [here](https://www.lufft.com/products/compact-weather-sensors-293/ws600-umb-smart-weather-sensor-1832/productAction/outputAsPdf/).

klosters

display_name: klosters

precipitation

display_name: precipitation

raclets

display_name: raclets

temperature

display_name: temperature

weather

display_name: weather

wind

display_name: wind


en: swiss-geo-downloader open-source cable-yarding seilaplan swiss-geodata qgis-plugin geoinformation-system digital-elevation-model digital-planning

en: Herunterladen des DHM mit SwissGeoDownloader

en: View video on youtube!

en:
In order to use the QGIS plugin ‘Seilaplan’ for digital cable line planning, a digital terrain model (DTM) is required. The plugin ‘Swiss Geo Downloader’, which is available for the open source geoinformation software QGIS, allows freely available Swiss geodata to be downloaded and displayed directly within QGIS. It was developed in 2021 by Patricia Moll in collaboration with the Swiss Federal Institute for Forest, Snow and Landscape Research WSL. In this tutorial we describe how to download the high accuracy elevation model ‘swissALTI3D’ with the help of the ‘Swiss Geo Downloader’ and how to use it for digital planning of a cable line with the plugin ‘Seilaplan’. Please note that the tutorial language is German!

Link to the Swiss Geo Downloader: https://pimoll.github.io/swissgeodownloader

Link to Seilaplan website: https://seilaplan.wsl.ch

*********************

Für die Verwendung des QGIS Plugins Seilaplan zur digitalen Seillinienplanung ist ein digitales Höhenmodell (DHM) nötig. Das Plugin Swiss Geo Downloader, welches für das Open Source Geoinformationssystem QGIS zur Verfügung steht, ermöglicht frei verfügbare Schweizer Geodaten direkt innerhalb von QGIS herunterzuladen und anzuzeigen. Es wurde 2021 von Patricia Moll in Zusammenarbeit mit der eidgenössischen Forschungsanstalt Wald, Schnee und Landschaft WSL entwickelt. In diesem Tutorial beschreiben wir, wie man mit Hilfe des Swiss Geo Downloaders das hochgenaue Höhenmodell swissALTI3D herunterladen und für die Seillinienplanung mit dem Plugin Seilaplan verwenden kann.

Link zum Swiss Geo Downloader: https://pimoll.github.io/swissgeodownloader

Link zur Seilaplan-Webseite: https://seilaplan.wsl.ch

cable-yarding

display_name: cable-yarding

digital-elevation-model

display_name: digital-elevation-model

digital-planning

display_name: digital-planning

geoinformation-system

display_name: geoinformation-system

open-source

display_name: open-source

qgis-plugin

display_name: qgis-plugin

seilaplan

display_name: seilaplan

swiss-geo-downloader

display_name: swiss-geo-downloader

swiss-geodata

display_name: swiss-geodata

en: Seilaplan Tutorial: DTM download with SwissGeoDownloader


maintainer: EnviDat Support

en: shortwave-radiation longwave-radiation outgoing davos incoming

en: Metadata

media_type: application/pdf

format: PDF

mimetype: application/pdf

en: DATA ACCESS

media_type: SMET

en: Parameter file

media_type: text/plain

format: TXT

mimetype: text/plain

en: Processing doc

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

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


en: antarctica meteorological-data drifting-snow mass-flux snowmicropen terrestrial-laser-scanning

en: Dataset

media_type: Link

en: Links to the dataset

en: README

en: Describes the dataset in detail

en:
This dataset contains the data acquired during the expedition to Princess Elisabeth Antarctica Station in December 2016 and January 2017. The dataset consits of meterorological data, drifting snow mass flux data, SnowMicroPen data and Terrestrial Laser Scanning data.

Please refer to the README for more information about the data.

This dataset is the basis of the following publication:

Sommer, C. G., Wever, N., Fierz, C., and Lehning, M.: Wind-packing of snow in Antarctica, The Cryosphere Discuss., https://doi.org/10.5194/tc-2018-36, in review, 2018.

antarctica

display_name: antarctica

drifting-snow

display_name: drifting-snow

mass-flux

display_name: mass-flux

meteorological-data

display_name: meteorological-data

snowmicropen

display_name: snowmicropen

terrestrial-laser-scanning

display_name: terrestrial-laser-scanning

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: Expedition to Princess Elisabeth Antarctica Station, 2016/2017


maintainer: Sven-Eric Hopf

en: monitoring ash-dieback iap fraxinus forest

en: Monitoring of ash trees as part of the Intercantonal Forest Observation Programme

media_type: .pdf

en: Packgroun information on data for the publication: Spread and Severity of Ash Dieback in Switzerland – Tree Characteristics and Landscape Features Explain Varying Mortality Probability, (Klesse et al. 2021, Front. For. Glob. Change 4:645920., doi: 10.3389/ffgc.2021.645920)

en:
In 2013, the Institute for Applied Plant Biology (IAP) started a monitoring programme to study the development and the spatial variation of the ash dieback disease with the aim to find some partially resistant European ash trees (Fraxinus excelsior).
We collaborate as co-authors for the publication: Spread and Severity of Ash Dieback in Switzerland - Tree Characteristics and Landscape Features Explain Varying Mortality Probability (Klesse et al. 2021 in frontiers)

ash-dieback

display_name: ash-dieback

forest

display_name: forest

fraxinus

display_name: fraxinus

iap

display_name: iap

monitoring

display_name: monitoring


en: snow-water-equivalent snow-profile snow-height snow gcos

en: DATA ACCESS

en: STATION METADATA

en: Snowprofile from 11 observer sites in Switzerland compiled for the Global Climate Observing System (GCOS). Height of snow (cm) and snow water equivalent (mm) are recorded every 2 weeks since the 1947 (depending on station). Attached metadata file gives details of each station.

gcos

display_name: gcos

snow

display_name: snow

snow-height

display_name: snow-height

snow-profile

display_name: snow-profile

snow-water-equivalent

display_name: snow-water-equivalent

en: GCOS SWE data from 11 stations in Switzerland


en: paleo-climate glaciers precipitation orography last-glacial-maximum air-temperature

en: Data Access via S3

media_type: geotiff

en:
High resolution, downscaled climate model data are used in a wide variety of applications in environmental sciences. Here we present the CHELSA-TraCE21k downscaling algorithm to create global monthly climatologies for temperature and precipitation at 30 arcsec spatial resolution in 100 year time steps for the last 21,000 years. Paleo orography at high spatial resolution and at each timestep is created by combining high resolution information on glacial cover from current and Last Glacial Maximum (LGM) glacier databases with the interpolation of a dynamic ice sheet model (ICE6G) and a coupling to mean annual temperatures from CCSM3-TraCE21k. Based on the reconstructed paleo orography, mean annual temperature and precipitation was downscaled using the CHELSA V1.2 algorithm.

The data is published under a Creative Commons Attribution 2.0 Generic (CC BY 2.0) license.

format: GeoTIFF

en: Technical documentation

en: Technical documentation containing file metadata and variable descriptions.

air-temperature

display_name: air-temperature

glaciers

display_name: glaciers

last-glacial-maximum

display_name: last-glacial-maximum

orography

display_name: orography

paleo-climate

display_name: paleo-climate

precipitation

display_name: precipitation

en: CHELSA-TraCE21k: Downscaled transient temperature and precipitation data since the last glacial maximum


maintainer: Henning Löwe

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

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

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: Angle of repose experiments with natural and spherical snow


snow-drift-station-flowcapt

maintainer: Benjamin Walter

title_for_slug: snow-drift-station-flowcapt

en: acoustic-mass-flux raclets snowdrift snow-blowing wind-speed flowcapt

en: minimum wind spees

en: The data file contains the minimum wind speed in 10 minute intervalls. The duration of one cycle was 1 min and contained 6s observations and 54 s stand-by. The time is given in UTC+1.

format: XLS

en: avergaged mass flux

en: Average mass flux of 10 min measurement interval. The Cycle duration is 1 min which includes 6 s observation and 54 s stand-by. The time is given in UTC+1.

en: average wind speed

en: The data file contains the average wind speed in 10 minute intervalls. The duration of one cycle was 1 min and contained 6s observations and 54 s stand-by. The time is given in UTC+1.

en: minimum mass flux

en: The data file contains the minimum mass flux of 10 minute intervalls. The duration of one cycle was 1 min and contained 6s observations and 54 s stand-by. The time is given in UTC+1.

en: maximum wind speed

en: The data file contains the maximum wind speed in 10 minute intervalls. The duration of one cycle was 1 min and contained 6 s observations and 54 s stand-by. The time is given in UTC+1.

en: maximum mass flux

en: The data file contains the maximum mass flux of 10 minute intervalls. The duration of one cycle was 1 min and contained 6s observations and 54 s stand-by. The time is given in UTC+1.

en: The FlowCapt is an ultra-robust instrument measuring solid particle acoustic mass - flux intensities (g m‾ ² s‾ ¹) and wind speeds (m s‾ ¹). It was deployed at Gotschnagrat (LON: 46.859 LAT: 9.849). The vertical tube with a length of 1 m monitors snowdrift and snow-blowing; and is mounted at a height between 0.1 an 1.1 m above snow surface. The time within each data set is given in UTC+1.

acoustic-mass-flux

display_name: acoustic-mass-flux

flowcapt

display_name: flowcapt

raclets

display_name: raclets

snow-blowing

display_name: snow-blowing

snowdrift

display_name: snowdrift

wind-speed

display_name: wind-speed

en: Snow Drift Station - Flowcapt


en: soil-impacts biodiversity forest-management pairwise-stand-comparisons biogeography

en: references

media_type: XLS

en: Bibliography of all references cited in data_wohlgemuth_etal_Neobiota_2022.

en: headers

media_type: ascii, tab separated, also as excel table

en: Description of headers for data_wohlgemuth_etal_Neobiota_2022

en: Baseline data

en: Compiled data on the impacts of seven important NNTs (Acacia dealbata, Ailanthus altissima, Eucalyptus globulus, Prunus serotina, Pseudotsuga menziesii, Quercus rubra, Robinia pseudoacacia) on physical and chemical soil and biodiversity in Europe, and summarise commonalities and differences. A total of 107 publications considered, studies referred to biodiversity attributes and soil properties: 2804 lines and 30 rows.

biodiversity

display_name: biodiversity

biogeography

display_name: biogeography

forest-management

display_name: forest-management

pairwise-stand-comparisons

display_name: pairwise-stand-comparisons

soil-impacts

display_name: soil-impacts

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: Impact of non-native tree species in Europe on soil properties and biodiversity: a review


automatic-classification-of-avalanches

maintainer: Alec van Herwijnen

title_for_slug: automatic-classification-of-avalanches

en: avalanche localization monitoring machine-learning seismic

media_type: application/x-tar

en:
This tar file contains classification results for two seismic geophone arrays deployed above Davos, Switzerland. The of the first array located at the Dischma Valley was used to automatically identify all seismic events produced by avalanches, whereas the classification perfomed at the second array located at the Wannengrat field site was used to identify airplanes and earthquakes.
Furthermore, this tar file also contains the median back-azimuth of all classified events at the Dischma field site.

mimetype: application/x-tar

en: This dataset contains the classification and localization results obtained during the automatic classification of avalanches during the winter season 2017.

avalanche

display_name: avalanche

localization

display_name: localization

machine-learning

display_name: machine-learning

monitoring

display_name: monitoring

seismic

display_name: seismic

en: Automatic Classification of Avalanches


maintainer: Athanasios Nenes

en: raclets supersaturation wolfgangpass cloud-modeling sigma-w cloud-droplets

en: Predicted cloud droplet numbers (kappa=0.25) Weissfluhjoch

en:
In-situ measurements of aerosol size distributions along with updraft velocities collected from a wind Doppler Lidar are coupled with a state-of-the art droplet activation parameterization (Morales and Nenes, 2014) to determine the cloud droplet number and maximum in-cloud supersaturation that can potentially form over the Davos Wolfgang station between February 24 and March 8 2019. For this, as a sensitivity test, a hygroscopicity parameter of 0.25 is assumed, which is the upper limit determined from the analysis carried out for Weissfluhjoch (https://www.envidat.ch/dataset/ccn-hygroscopicity-predicted-cloud-droplet-numbers-weissfluhjoch). The data file contains:

* Date and time (DD/MM/YYYY hh:mm:ss) in UTC
* The wind-lidar derived standard deviation of updraft velocities (sigma-w) in m/s, used to apply the parameterization employing a single characteristic velocity (Morales and Nenes, 2010)
* The maximum predicted cloud parcel supersaturation (Smax%)
* The total in-situ aerosol number concentration (Naer) in cmˉ³, measured by the SMPS
* The predicted cloud droplet numbers (Nd) in cmˉ³
* The activation fraction (%)

en: Predicted cloud droplet numbers (kappa=0.1) Davos Wolfgang

en:
In-situ measurements of aerosol size distributions along with updraft velocities collected from a wind Doppler Lidar are coupled with a state-of-the art droplet activation parameterization (Morales and Nenes, 2014) to determine the cloud droplet number and maximum in-cloud supersaturation that can potentially form over the Davos Wolfgang station between February 24 and March 8 2019. For this, as a sensitivity test, a hygroscopicity parameter of 0.1 is assumed, which is the lower limit determined from the analysis carried out for Weissfluhjoch (https://www.envidat.ch/dataset/ccn-hygroscopicity-predicted-cloud-droplet-numbers-weissfluhjoch). The data file contains:

* Date and time (DD/MM/YYYY hh:mm:ss) in UTC
* The wind-lidar derived standard deviation of updraft velocities (sigma-w) in m/s, used to apply the parameterization employing a single characteristic velocity (Morales and Nenes, 2010)
* The maximum predicted cloud parcel supersaturation (Smax%)
* The total in-situ aerosol number concentration (Naer) in cmˉ³, measured by the SMPS
* The predicted cloud droplet numbers (Nd) in cmˉ³
* The activation fraction (%)

en: Cloud droplet properties were predicted between February 24 and March 8 2019 for the measurement site Davos Wolfgang (1630 m a.s.l., LON: 9.853594, LAT: 46.835577). Droplet calculations are carried out with the physically based aerosol activation parameterization of Morales and Nenes (2014), employing the “characteristic velocity” approach of Morales and Nenes (2010). Aerosol size distribution observations required to predict the cloud droplet numbers and maximum in-cloud supersaturation are obtained from a Scanning Mobility Particle Size Spectrometer (SMPS) instrument deployed at Davos Wolfgang (https://www.envidat.ch/dataset/aerosol-data-davos-wolfgang). The required vertical velocity measurements are derived from the wind Doppler Lidar (https://www.envidat.ch/dataset/lidar-wind-profiler-data) deployed at the same station and are extracted from the first bin of the instrument, being 200 m above ground level. The hygroscopic properties of the particles measured at Davos Wolfgang could not be estimated, owing to a lack of concurrent CCN measurements. As a sensitivity test, droplet calculations are performed assuming two different values of the aerosol hygroscopicity parameter, 0.1 and 0.25, based on the analysis carried out for Weissfluhjoch. Additional information can be found in Section 2.3 [here](https://acp.copernicus.org/preprints/acp-2020-1036/).

cloud-droplets

display_name: cloud-droplets

cloud-modeling

display_name: cloud-modeling

sigma-w

display_name: sigma-w

supersaturation

display_name: supersaturation

wolfgangpass

display_name: wolfgangpass

en: Predicted cloud droplet numbers Davos Wolfgang


en: cosmo-wrf orographic-precipitation snow-precipitation complex-terrain precipitation-variability

en: StationData

en: Snow depth maps over Dischma valley for 26 January 2016 and 9 March 2016 and snow depth differences between the two dates.

en:
The data presented here corresponds to the publication "Spatial variability in snow precipitation and accumulation in COSMO-WRF simulations and radar estimations over complex terrain" (Gerber et al., 2018a), which investigates the precipitation variability of snow precipitation in the central northern part of the Grisons (CH) and the publication "The importance of near-surface winter precipitation processes in complex alpine terrain" (Gerber et al., 2018b). The dataset contains:

* WRFsimulations: WRF simulation output for simulations with 4x (14x) terrain smoothing with an output timestep of 30 min/5 min and horizontal grid spacings of 1350 m, 450 m, 150 m and 50 m (currently: data available upon request).
* StationData: Meteorological station data of 18 meteorological stations in the central northern part of the Grisons with 30 minute resolution for the period 1 January 2016 till 1 May 2016.
* ADS80data: Photogrammetrically determined snow depth distribution data over the Dischma valley for the 26 January 2016 and 9 March 2016. Snow heights are corrected for buildings, vegetation (> 1m), outliers, and pixles, which are obivously snow-free on the pictures (Bühler et al., 2015). In addition the snow depth differences (snow depth on 9 March 2016 minus snow depth on 26 January 2016) are provided.

For more details about the simulation and observation data, see Gerber et al., 2018 and Gerber and Sharma (2018).

Publications:

Bühler, Y., Marty, M., Egli, L., Veitinger, J., Jonas, T., Thee, P., and Ginzler, C.: Snow depth mapping in high-alpine catchments using digital photogrammetry. Cryosphere, 9, 229–243, doi:10.5194/tc-9-229-2015, 2015.

Gerber, F., Besic, N., Sharma, V., Mott, R., Daniels, M., Gabella, M., Berne, A., Germann, U., and Lehning, M.: Spatial variability in snow precipitation and accumulation in COSMO-WRF simulations and radar estimations over complex terrain, The Cryosphere, 12, 3137–3160, doi:10.5194/tc-12-3137-2018, 2018.

Gerber, F., Mott, R. and Lehning, M.: The importance of near-surface winter precipitation processes in complex alpine terrain, Journal of Hydrometeorology, accepted, 2018.

Gerber, F., and Sharma, V.: Running COSMO-WRF on very-high resolution over complex terrain. Laboratory of Cryospheric Sciences CRYOS, École Polytechnique Fédérale de Lausanne EPFL, Lausanne, Switzerland. doi:10.16904/envidat.35, 2018.

complex-terrain

display_name: complex-terrain

cosmo-wrf

display_name: cosmo-wrf

orographic-precipitation

display_name: orographic-precipitation

precipitation-variability

display_name: precipitation-variability

snow-precipitation

display_name: snow-precipitation

en: DISCHMEX - High-resolution WRF simulations in complex alpine terrain and station measurements


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

en: Site photo of the field station (NOF)

media_type: image/jpeg

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

mimetype: image/jpeg

en: Site photo of the forest station (NOB)

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

en: Site aerial photo (Novaggio)

en: Site aerial photo from both Novaggio stations. Source: Google. 2016. Site aerial photo from both Novaggio stations. Retrieved November 15, 2016, from https://www.google.ch/maps

en: Field station data (NOF)

en: Data file.

en: Data plot of the forest station (NOB)

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

en: Data plot of the field station (NOF)

en: Forest station data (NOB)

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 Novaggio in Switzerland where one station is located within a natural deciduous forest stand (NOB) with Turkey oak (_Quercus cerris_; 70 yrs), sweet chestnut (_Castanea sativa_; 90 yrs) and silver birch (_Betula pendula_; 70 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, NOF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Novaggio 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

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: Novaggio, Switzerland: Long-term forest meteorological data from the Long-term Forest Ecosystem Research Programme (LWF), from 1996 onwards


en: anemometer wind-direction wind-velocity wind-speed raclets wind

en: Sonic temperature

media_type: npy

en: The data set contains values of temperature (°C) measured with the anemometer at a sampling frequency of 20 Hz.

en: Sonic wind component u

en:
The data contains values for u direction of the wind in a sampling frequency of 20 Hz.
Erroneour spikes were filterd in two steps.

1. Define moving window uₓ = u(i-3:i+3)
2. If u(i)-mean(uₓ) > 2*std(uₓ):u(i) = NaN

Frozen detectors resulted in continuous zero values (not filtered).
The wind speed and direction were calculated as follows:

wind speed = sqrt(u² + v²)
wind direction = 180° + (180° / PI)* arctan2 (-u, -v)

en: Sonic wind component w

en:
The data contains values for w direction of the wind in a sampling frequency of 20 Hz.
Erroneour spikes were filterd in two steps.

1. Define moving window uₓ = u(i-3:i+3)
2. If u(i)-mean(uₓ) > 2*std(uₓ):u(i) = NaN

Frozen detectors resulted in continuous zero values (not filtered).
The wind speed and direction were calculated as follows:

wind speed = sqrt(u² + v²)
wind direction = 180° + (180° / PI)* arctan2 (-u, -v)

en: Sonic time

en: The data set contains the time in YYYY-mm-dd HH:MM:SS.sss for the anemometer data. The time is given in UTC+1.

en: Sonic wind component v

en:
The data contains values for v direction of the wind in a sampling frequency of 20 Hz.
Erroneour spikes were filterd in two steps.

1. Define moving window uₓ = u(i-3:i+3)
2. If u(i)-mean(uₓ) > 2*std(uₓ):u(i) = NaN

Frozen detectors resulted in continuous zero values (not filtered).
The wind speed and direction were calculated as follows:

wind speed = sqrt(u² + v²)
wind direction = 180° + (180° / PI)* arctan2 (-u, -v)

en: A Young 81000 sonic anemomenter was deployed at Gotschnagrat (LON: 46.859 LAT: 9.849) to record three components of the wind velocity (u, v, w in [m s‾ ¹]) and air temperature (Ts in [°C]). The anemomenter was mounted in direction North at a height of 1.5 m above snow surface at the beginning. The time within each data set is given in UTC+1. Instrument specifications can be found [here](http://www.youngusa.com/Manuals/81000-90(I).pdf) .

anemometer

display_name: anemometer

raclets

display_name: raclets

wind

display_name: wind

wind-direction

display_name: wind-direction

wind-velocity

display_name: wind-velocity

en: Snow Drift Station - 3D Ultrasonic


en: low-flow drought-2018 hydrological-simulations precipitation prevah discharge soil-moisture

en: Precipitation

en: Simulated precipitation for the 307 medium-sized catchments. The first column provides the date in the format YYYYMMDD. One column corresponds to one catchment. Unit: mm/d.

en: Soil moisture

en: Simulated plant-available soil moisture for the 307 medium-sized catchments. The first column provides the date in the format YYYYMMDD. One column corresponds to one catchment. Unit: mm.

en: Discharge

en: Simulated discharge for the 307 medium-sized catchments. The first column provides the date in the format YYYYMMDD. One column corresponds to one catchment. Unit: mm/d.

en: Low-flow storage

en: Simulated low-flow storage for the 307 medium-sized catchments. The first column provides the date in the format YYYYMMDD. One column corresponds to one catchment. Unit: mm.

en: Shapefile of 307 catchments in Switzerland

en: Shapefile of 307 catchments for which simulations of precipitation, discharge, soil moisture, and low flow are provided. The OBJECTID entry corresponds to the data columns in the textfiles of the simulated data provided.

en: The dataset provides simulated 1) precipitation, 2) discharge, 3) soil moisture, and 4) low-flow simulations for 307 medium-sized catchments in Switzerland for the period 1981-2018. The data were simulated using the hydrological model PREVAH in its gridded-version. The simulated time series are provided at daily resolution. A detailed description of the modeling approach can be found in Brunner et al. 2019 submitted to NHESS.

discharge

display_name: discharge

hydrological-simulations

display_name: hydrological-simulations

low-flow

display_name: low-flow

prevah

display_name: prevah

soil-moisture

display_name: soil-moisture

education

en: Education and science

en: Hydro-meteorological simulations for the period 1981-2018 for Switzerland


sensitivity-of-modeled-snow-instability

maintainer: Bettina Richter

title_for_slug: sensitivity-of-modeled-snow-instability

en: snow-cover-modeling snowpack numerical-avalanche-forecasting global-sensitivity-analysis snow-instability

en: Case SL

en: Extracted output data for case SL. Here biases were introduced to meteorological input data during the period of slab formation. Data include quasi random biases, which were introduced, extracted output of simulated snow profiles and sobol indices for each output variable.

en: Case ALL

en: Extracted output data for case ALL. Here biases were introduced to meteorological input data during the whole simulation period. Data include quasi random biases, which were introduced, extracted output of simulated snow profiles and sobol indices for each output variable.

en: Case WL

en: Extracted output data for case ALL. Here biases were introduced to meteorological input data during the period of weak layer formation. Data include quasi random biases, which were introduced, extracted output of simulated snow profiles and sobol indices for each output variable.

en: Reference run

en: Reference run for the sensitivity analysis at Weissfluhjoch field site for winter season 2016-2017. Meteorological data from the automatic weather stations are used. No biases were introduced to the input data.

en: Manually observed snow profiles

en: Manually observed snow profiles at Weissfluhjoch field site for winter season 2016-2017, including layer depth, hand hardness, grain size and grain shape for each layer.

en: We investigated the sensitivity of modeled snow instability to meteorological input data using SNOWPACK. We therefore used input data from the automatic weather station at the Weissfluhjoch field site for the year 2016-2017. We investigated three scenarios and performed 14'000 simulations for each scenario. The dataset contains extracted output data from modeled SNOWPACK simulations, including setup files to reproduce the simulations. For further information read the README file.

global-sensitivity-analysis

display_name: global-sensitivity-analysis

numerical-avalanche-forecasting

display_name: numerical-avalanche-forecasting

snow-cover-modeling

display_name: snow-cover-modeling

snow-instability

display_name: snow-instability

snowpack

display_name: snowpack

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: Sensitivity of modeled snow instability


radiosondes

maintainer: Jörg Wieder

title_for_slug: radiosondes

en: relative-humidity temperature wind-direction holoballoon pressure raclets wind radiosonde

en: Radiosond Template Files

en:
The "template" files contain standard parameters, i.e. ambient pressure (mbar and Pa), temperature (°C), relative humidity (%), wind speed (m s‾ ¹) and wind direction (true deg), as well as additional information, e.g. time (UTC and local time), dew point (°C), mixing ration (g/kg), density (kg m³), altitude (m MSL), height above ground (ft and m AGL), and geographic coordinates (longitude, latitude). If the wind speed was zero, no wind direction is given.
The zip files contain ascents on the following days:
February 10 (morning and afternoon),
February 11 (morning),
February 16 (afternoon),
February 22 (morning),
March 1 (morning),
March 5 (morning),
March 11 (morning),
March 12 (morning),
March 13 (morning),
March 14 (morning),
March 17 (afternoon), and
March 18.
The data was managed with Windsond Receiver Application Demo Version 2.92, (C) Sparv Embedded AB 2016.

en: Radiosond Sounding Files

en:
The "soundings" radiosond data contains information on ambient pressure (mbar), temperature (C), relative humidity (%), wind speed (m s‾ ¹) and wind direction (true deg), and are ordered with respect to the height above ground (m AGL) with a step size of 20 m. The first line of each file idicates the geographic location and the start time (in UTC) of the ascent. If the wind speed was zero, no wind direction is given.
The zip files contain ascents on the following days:
February 10 (morning and afternoon),
February 11 (morning),
February 16 (afternoon),
February 22 (morning),
March 1 (morning),
March 5 (morning),
March 11 (morning),
March 12 (morning),
March 13 (morning),
March 14 (morning),
March 17 (afternoon), and
March 18.
The data was managed with Windsond Receiver Application Demo Version 2.92, (C) Sparv Embedded AB 2016.

en: Radiosondes (Windsond, Sparv Embedded AB) were started in Davos Wolfgang (LON: 9.853594, LAT: 46.835577) to report height profiles of pressure, relative humidity and temperature at specific days. In addition to regular launches of radiosondes, sondes were attached to [HoloBalloon](https://www.envidat.ch/group/clouds-in-situ-raclets) to report the ambient conditions of the in-situ measurements. Further profiles of meteorological measures were recorded at [HoloGondel](https://www.envidat.ch/group/clouds-in-situ-raclets) which was installed at the gondola moving between Gotschnaboden and Gotschnagrat at 2285 m a.s.l.

holoballoon

display_name: holoballoon

pressure

display_name: pressure

radiosonde

display_name: radiosonde

relative-humidity

display_name: relative-humidity

temperature

display_name: temperature

education

en: Education and science

en: Radiosondes


en: snow pattern-formation numerical-model vapor-transport python

media_type: ZIP

en:
Data and code v1.0 downloaded from the git.

Running the code requires an installation of FEniCS via docker.

en:
This python code uses the Finite Element library FEniCS (via docker) to solve the one dimensional partial differential equations for heat and mass transfer in snow. The results are written in vtk format.

The dataset contains the code and the output data to reproduce the key Figure 5 from the related publication:

_Schürholt, K., Kowalski, J., Löwe, H.; Elements of future snowpack modeling - Part 1: A physical
instability arising from the non-linear coupling of transport and phase changes, The Cryosphere, 2022_

The code and potential updates can be accessed directly through git via:

https://gitlabext.wsl.ch/snow-physics/snowmodel_fenics

numerical-model

display_name: numerical-model

pattern-formation

display_name: pattern-formation

python

display_name: python

snow

display_name: snow

vapor-transport

display_name: vapor-transport

en: A numerical solver for heat and mass transport in snow based on FEniCS


maintainer: Mahdi Jafari

en: snow-density-profile convection-in-snow openfoam vapor-transport numerical-simulation

en: snowpackBuoyantPimpleFoam

en:
This zipped folder includes (1) the source code files, (2) an example case for simulation, and (3) an instruction how to compile and use the new solver.

Note that the most updated version of snowpackBuoyantPimpleFoam can be found in the WSL/SLF GitLab repository: https://gitlabext.wsl.ch/snow-models/snowpackbuoyantpimplefoam

en: snowpackBuoyantPimpleFoam is a two-phase solver implemented to model convection of water vapor with phase change in snowpacks. This new solver is based on the standard solver of buoyantPimpleFoam in the open-source fluid dynamics software, OpenFOAM 5.0 (www.openfoam.org).

convection-in-snow

display_name: convection-in-snow

numerical-simulation

display_name: numerical-simulation

openfoam

display_name: openfoam

snow-density-profile

display_name: snow-density-profile

en: snowpackBuoyantPimpleFoam: an OpenFOAM Eulerian–Eulerian two-phase solver for modelling convection of water vapor in snowpacks


maintainer: Rebecca Mott

en: riegl-vz6000 snow-ablation-rates patchy-snow-covers terrestrial-laser-scanning tls

en: Snowmask 2014

en: Digital Elevation Modell 2014

en: Digital Elevation Modell 2015

en: Digital Elevation Modell 2016

en: Snowmask 2016

en: Gletschboden test site

en: Snowmask 2015

en: We recorded snow ablation maps with a terrestrial laser scanner (TLS, Riegl-VZ6000) at the Gletschboden area. The TLS position is located approximately 30 vertical meters above the Gletschboden area at a northerly exposed slope. In total 44 TLS measurement sets have been conducted in three consecutive years 2014-2016 (2014: 13 measurements; 2015: 17 measurements; 2016: 14 measurements). The TLS system has a single-point measurement frequency of 300 kHz and a beam divergence of 0.007°. This set-up allows a horizontal resolution of approximately 0.01 m in 100 m distance to the TLS position. One scan of the Gletschboden area lasts approximately 15 minutes. The travel time from the laser scanner towards the surface is recorded and afterwards converted into a point cloud of distances. 5 reflectors located at the Gletschboden area and in the closer surroundings were additionally scanned during each measurement to transform the point cloud from the scanner own coordinate system into Swiss coordinates. Additionally, orthophotos have been created by using pictures recorded from the TLS in order to provide snow mask maps. Snow and bare ground can be distinguished by the RGB color information of the orthophoto. Cells with blue band information greater than 175 were categorized as snow and all cells with values smaller or equal 175 were categorized as bare ground.

patchy-snow-covers

display_name: patchy-snow-covers

snow-ablation-rates

display_name: snow-ablation-rates

terrestrial-laser-scanning

display_name: terrestrial-laser-scanning

tls

display_name: tls

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: DISCHMEX - High-resolution daily snow ablation rates in an Alpine environment


maintainer: Matthias Haeni

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

en: Data plot of the field station (NAF)

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

en: Site photo of the field station (NAF)

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

en: Forest station data (NAB)

media_type: text/csv

en: Data file.

en: Data plot of the forest station (NAB)

en: Site photo of the forest station (NAB)

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

en: Site aerial photo (Nationalpark)

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

en: Field station data (NAF)

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 Nationalpark in Switzerland where one station is located within a natural coniferous forest stand (NAB) with mountain pine (_Pinus mugo_; 210 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, NAF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Nationalpark 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

swiss-forest-lab

display_name: swiss-forest-lab

wind-speed

display_name: wind-speed

education

en: Education and science

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


maintainer: Frank Techel

en: avalanche-statistics long-term-trends avalanche-accident avalanche-fatalities avalanche-accident-statistics

en: Data avalanche fatalities 1969/1970 - 2014/2015

en: The data comprises avalanche fatality data from the Alpine regions in the seven countries Austria, France, Germany, Italy, Liechtenstein, Slovenia, and Switzerland.

en:
During the last 45 years, about 100 people lost their lives in avalanches in the European Alps each year. Avalanche fatalities in settlements and on transportation corridors have considerably decreased since the 1970s. In contrast, the number of avalanche fatalities during recreational activities away from avalanche-secured terrain doubled between the 1960s and 1980s and has remained relatively stable since, despite a continuing strong increase in winter backcountry recreational activities.

Data complementing Figure 2 in:
_"Avalanche fatalities in the European Alps: long-term trends and statistics"_, by Techel, F., Jarry, F., Kronthaler, G., Mitterer, S., Nairz, P., Pavšek, M., Valt, M., and Darms, G.

Data description:
please refer to section 2 (Data and Methods) in the mentioned publication

avalanche-accident

display_name: avalanche-accident

avalanche-accident-statistics

display_name: avalanche-accident-statistics

avalanche-fatalities

display_name: avalanche-fatalities

avalanche-statistics

display_name: avalanche-statistics

long-term-trends

display_name: long-term-trends

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: Avalanche fatalities in the European Alps (1969/1970 - 2014/2015)


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

en: Site photo of the forest station (BAB)

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

en: Data plot of the field station (BAF)

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

en: Forest station data (BAB)

en: Data file.

en: Site aerial photo (Beatenberg)

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

en: Field station data (BAF)

en: Data plot of the forest station (BAB)

en: Site photo of the field station (BAF)

en: Site photo of the field 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 Beatenberg in Switzerland where one station is located within a natural coniferous forest (BAB) with Norway spruce (_Picea abies_; 190-210 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, BAF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Beatenberg is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the
Swiss Federal Research Institute WSL.

relative-humidity

display_name: relative-humidity

temperature

display_name: temperature

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


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

en: Field station data (SCF)

en: Further details on the data repository

media_type: PDF

en: Meta data documentation.

en: Forest station data (SCB)

en: Site aerial photo (Schänis)

media_type: JPEG

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

en: Site photo of the field station (SCF)

en: Site photo of the field station from above (viewing downwards the slope).

en: Data plot of the field station (SCF)

en: Site photo of the forest station (SCB)

en: Data plot of the forest station (SCB)

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 Schänis in Switzerland where one station is located within a natural mixed forest stand (SCB) with European beech (_Fagus sylvatica_; 130-150 yrs), European silver fir (_Abies alba_; 130-150 yrs) and European ash (_Fraxinus excelsior_; 130-150 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, SCF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Schänis is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

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: Schänis, Switzerland: Long-term forest meteorological data from the Long-term Forest Ecosystem Research Programme (LWF), from 1998 onwards


maintainer: Ana Beatriz Pierri Daunt

en: resilience socio-ecological-system ecosystem-services decision-making landscape-planning landscape-ecology planning green-infrastructure landscape-perception literature-review pdfsearch sense-of-place landscape-services multifunctionality

en: 5. Planning steps.

media_type: CSV

en: 4. Use of any additional concept.

en: 1. Frequency of early concepts.

en: 6. Protocol

media_type: XLSX

en: 3. Use of any early concept.

en: 2. Frequency of additional concepts.

en:
Table of content: 1. Frequency of early concepts; 2. Frequency of additional concepts; 3. Use of any early concept; 4. Use of any additional concept, 5. Planning steps; 6. Protocol.

The present dataset is part of the published scientific paper entitled “Landscape ecological concepts in planning: review of recent developments” (Hersperger et al., 2021). The goal of this research was to review recent publications to assess the use of landscape ecological concepts in planning. Specifically, we address the following research questions: Q1. Landscape ecological concepts: What are they? How frequently are they mentioned in current research? Q2. How are landscape ecological concepts integrated in landscape planning?

We analysed all empirical and overview papers that have been published in four key academic journals in the field of landscape ecology and landscape planning in the years 2015–2019 (n = 1918). Four key journals in the field of landscape ecology were selected to conduct the analysis, respectively Landscape Ecology (LE), Landscape Online (LO), Current Landscape Ecology Reports (CLER), and Landscape and Urban Planning (LUP). The title, abstract and keywords of all papers were read in order to identify landscape ecological concepts. Then, all 1918 papers went through a keyword search to identify the use of early and additional concepts. We used the “pdfsearch” package in R programming language and searched for singular and plural forms and different variations of the concepts (see Supplementary material 1, Table A). As a result, we provided four outputs:

  1. Frequency of early concepts. This data provides the total number of times each article used each early concept (Q1). This data was used to produce the Figure 2a at the original publication.

  2. Frequency of additional concepts. This data provides the total number of times each article used each additional concept (Q1). This data was used to produce the Figure 2b at the original publication.

  3. Use of any early concept. This data provides the total number of times each article used any early concept (Q1).
This data was used to produce the Figure 3a at the original publication.

  4. Use of any additional concept. This data provides the total number of times each article used any additional concept (Q1). This data was used to produce the Figure 3b at the original publication.

To address the second question (Q2), the title, abstract and keywords of the papers included in our sample (n=1918 articles) were screened to identify papers that might show how landscape ecological concepts are integrated into planning. We selected 52 empirical papers (see Supplementary material – 4 Integration of landscape ecological concepts into planning), and we provided two outputs:

  5. Planning steps. This data provides the number of times landscape ecological concepts were addressed in each
planning steps in 52 empirical papers analysed in detail (Q2). This data was used to produce the Figure 4 at the
original publication.

  6. Protocol for assessing the integration of landscape ecological concepts into planning. To systematically collect the
data, we used this protocol which addressed the following questions: (a) which type of planning is addressed by the
paper? (b) to which planning level does the paper refer to? (c) which concepts are integrated in any of the planning
steps described above?

decision-making

display_name: decision-making

ecosystem-services

display_name: ecosystem-services

green-infrastructure

display_name: green-infrastructure

landscape-ecology

display_name: landscape-ecology

landscape-perception

display_name: landscape-perception

landscape-planning

display_name: landscape-planning

landscape-services

display_name: landscape-services

literature-review

display_name: literature-review

multifunctionality

display_name: multifunctionality

pdfsearch

display_name: pdfsearch

planning

display_name: planning

resilience

display_name: resilience

sense-of-place

display_name: sense-of-place

socio-ecological-system

display_name: socio-ecological-system

en: The usage of landscape ecological concepts in the planning literature


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

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


maintainer: Amt für Abfall, Wasser, Energie und Luft des Kantons Zürich, Abteilung Luft, Klima und Strahlung - Sektion Monitoring

de: lufttemperaturen luft

label: LoRa-Datenbeschrieb

de: LoRa-Sensor-Messwerte 2022/07

de: LoRa-Sensor-Messwerte 2021/10

de: LoRa-Sensor-Messwerte 2021/02

de: LoRa-Sensor-Messwerte 2019/08

de: LoRa-Sensor-Messwerte 2021/08

de: LoRa-Sensor-Messwerte 2019/10

de: LoRa-Sensor-Messwerte 2022/05

de: LoRa-Sensor-Messwerte 2020/12

de: LoRa-Sensor-Messwerte 2022/04

de: LoRa-Sensor-Messwerte 2020/09

de: LoRa-Sensor-Messwerte 2022/02

de: LoRa-Sensor-Messwerte 2020/11

de: LoRa-Sensor-Messwerte 2020/06

de: LoRa-Sensor-Messwerte 2021/06

de:
Seit Frühjahr 2019 betreibt das AWEL des Kantons Zürich ein Messnetz aus rund 40 Lufttemperatur und -feuchte Sensoren (LoRa). Die Sensor-Standorte befinden sich hauptsächlich im städtischen Raum, verdichtet in der Stadt Zürich, aber auch in weiteren Gemeinden im Kanton Zürich. Ziel des Messnetzes ist es, Messdaten für Stadtklima-Analysen bereitzustellen, damit Aspekte des Lokalklimas und Klimawandels stärker sichtbar werden und in der Raumplanung und Stadtentwicklung berücksichtigt werden können. Mit Hilfe dieser Daten lassen sich u.a. die Auswirkungen von Hitzewellen im städtischen Raum beschreiben. Das Messnetz wird durch das AWEL betrieben, unter Beteiligung der Stadt Zürich; die weiteren Standort-Gemeinden sind über die Messaktivität informiert.
Der hier verfügbare Datensatz wird täglich aktualisiert und umfasst alle, für die Standorte gültigen Messwerte im 10 Minuten Mittel, inklusive entsprechender Standortinformationen. Weitere Angaben zu Datensatz-Struktur und verwendeten Sensoren sind im Datensatz-Beschrieb zu finden.

awel-kanton-zuerich

de: Amt für Abfall, Wasser, Energie und Luft Kanton Zürich

de: Das Amt für Abfall, Wasser, Energie und Luft (AWEL) des Kantons Zürich hat den Auftrag, der Bevölkerung im Kanton Zürich eine gesunde, sichere und attraktive Umwelt zu bieten. Zu den Themen Abfall, Wasser, Energie und Luft stellt das AWEL Fachleuten und Interessierten Informationen zur Verfügung.

de: Lufttemperatur und Luftfeuchte LoRa-Sensor-Messwerte