rm: Resultats finals da la votaziun federala "Bundesgesetz vom 25. September 2015 über den Nachrichtendienst (Nachrichtendienstgesetz, NDG)", 25 da settember 2016, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Bundesgesetz vom 25. September 2015 über den Nachrichtendienst (Nachrichtendienstgesetz, NDG)", 25 septembre 2016, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Bundesgesetz vom 25. September 2015 über den Nachrichtendienst (Nachrichtendienstgesetz, NDG)", 25. September 2016, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Bundesgesetz vom 25. September 2015 über den Nachrichtendienst (Nachrichtendienstgesetz, NDG)", 25 settembre 2016, Kanton Zug, suddivisi per municipalit.


maintainer: Staatskanzlei Zug

fr: municipal election

de: wahl kommunal

it: comunale elezione

label: Formatbeschreibung

label: Descrizione del formato

label: Description du format

label: Descripziun dal format

state: active

type: dataset

media_type: application/json

format: JSON

mimetype: application/json

identifier: json

identifier: parties-json

media_type: text/csv

format: CSV

mimetype: text/csv

identifier: parties-csv

identifier: csv

rm: Resultats finals da l'elecziun federala "Kantonsratswahl 2014 Stadt Zug", 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 Stadt Zug", 5 octobre 2014, Kanton Zug, répartis par municipalités et par candidats.

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

it: Risultati finali della elezione federale "Kantonsratswahl 2014 Stadt Zug", 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

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

rm: Kantonsratswahl 2014 Stadt Zug

fr: Kantonsratswahl 2014 Stadt Zug

de: Kantonsratswahl 2014 Stadt Zug

it: Kantonsratswahl 2014 Stadt Zug


it: elezione comunale

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.

rm: Kantonsratswahl 2014 Gemeinde Cham

fr: Kantonsratswahl 2014 Gemeinde Cham

de: Kantonsratswahl 2014 Gemeinde Cham

it: Kantonsratswahl 2014 Gemeinde Cham


fr: votation federal

de: national abstimmung

it: nazionale votazione

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.

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


fr: election municipal

de: kommunal wahl

rm: Resultats finals da l'elecziun federala "Kantonsratswahl 2014 Gemeinde Baar", 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 Baar", 5 octobre 2014, Kanton Zug, répartis par municipalités et par candidats.

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

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

rm: Kantonsratswahl 2014 Gemeinde Baar

fr: Kantonsratswahl 2014 Gemeinde Baar

de: Kantonsratswahl 2014 Gemeinde Baar

it: Kantonsratswahl 2014 Gemeinde Baar


fr: federal votation

de: abstimmung national

rm: Resultats finals da la votaziun federala "Volksinitiative «Für die Stärkung der Volksrechte in der Aussenpolitik (Staatsverträge vors Volk)»", 17 da zercladur 2012, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Volksinitiative «Für die Stärkung der Volksrechte in der Aussenpolitik (Staatsverträge vors Volk)»", 17 juin 2012, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Volksinitiative «Für die Stärkung der Volksrechte in der Aussenpolitik (Staatsverträge vors Volk)»", 17. Juni 2012, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Volksinitiative «Für die Stärkung der Volksrechte in der Aussenpolitik (Staatsverträge vors Volk)»", 17 giugno 2012, Kanton Zug, suddivisi per municipalit.


rm: Resultats finals da l'elecziun federala "Kantonsratswahl 2014 Gemeinde Walchwil", 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 Walchwil", 5 octobre 2014, Kanton Zug, répartis par municipalités et par candidats.

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

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

rm: Kantonsratswahl 2014 Gemeinde Walchwil

fr: Kantonsratswahl 2014 Gemeinde Walchwil

de: Kantonsratswahl 2014 Gemeinde Walchwil

it: Kantonsratswahl 2014 Gemeinde Walchwil


fr: votation cantonal

de: kantonal abstimmung

it: cantonale votazione

rm: Resultats finals da la votaziun chantunala "Verfassungsänderungen zur Anpassung der Kantonsverfassung an das neue eidgenössische Prozessrecht - d. Zu den Bestimmungen betreffend richterliche Gewalt und Rechtspflege", 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 - d. Zu den Bestimmungen betreffend richterliche Gewalt und Rechtspflege", 28 novembre 2010, Kanton Zug, répartis par municipalités.

de: Schlussresultate der kantonalen Abstimmung "Verfassungsänderungen zur Anpassung der Kantonsverfassung an das neue eidgenössische Prozessrecht - d. Zu den Bestimmungen betreffend richterliche Gewalt und Rechtspflege", 28. November 2010, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione cantonale "Verfassungsänderungen zur Anpassung der Kantonsverfassung an das neue eidgenössische Prozessrecht - d. Zu den Bestimmungen betreffend richterliche Gewalt und Rechtspflege", 28 novembre 2010, Kanton Zug, suddivisi per municipalit.

cantonal

display_name: cantonal

cantonale

display_name: cantonale

kantonal

display_name: kantonal

plaun-chantunal

display_name: plaun-chantunal


it: votazione nazionale

rm: Resultats finals da la votaziun federala "Volksinitiative vom 14. Februar 2012 «Gegen Masseneinwanderung»", 9 da favrer 2014, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Volksinitiative vom 14. Februar 2012 «Gegen Masseneinwanderung»", 9 février 2014, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Volksinitiative vom 14. Februar 2012 «Gegen Masseneinwanderung»", 9. Februar 2014, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Volksinitiative vom 14. Februar 2012 «Gegen Masseneinwanderung»", 9 febbraio 2014, Kanton Zug, suddivisi per municipalit.

politics

de: Politik


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.

staatskanzlei-zug

de: Staatskanzlei Zug

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


fr: election federal

de: wahl national

it: elezione nazionale

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.

election

display_name: election

elecziun

display_name: elecziun

elezione

display_name: elezione

politics

fr: Politique

it: Politica

rm: Ständeratswahl 2011

fr: Ständeratswahl 2011

de: Ständeratswahl 2011

it: Ständeratswahl 2011


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.


fr: votation federal

de: national abstimmung

it: nazionale votazione

rm: Resultats finals da la votaziun federala "Änderung vom 18. Dezember 2020 des Schweizerischen Zivilgesetzbuches (Ehe für alle)", 26 da settember 2021, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Änderung vom 18. Dezember 2020 des Schweizerischen Zivilgesetzbuches (Ehe für alle)", 26 septembre 2021, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Änderung vom 18. Dezember 2020 des Schweizerischen Zivilgesetzbuches (Ehe für alle)", 26. September 2021, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Änderung vom 18. Dezember 2020 des Schweizerischen Zivilgesetzbuches (Ehe für alle)", 26 settembre 2021, Kanton Zug, suddivisi per municipalit.


fr: cantonal votation

rm: Resultats finals da la votaziun chantunala "Teilrevision des Planungs- und Baugesetzes (PBG) – Umsetzung von Bundesrecht", 19 da matg 2019, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote cantonal "Teilrevision des Planungs- und Baugesetzes (PBG) – Umsetzung von Bundesrecht", 19 mai 2019, Kanton Zug, répartis par municipalités.

de: Schlussresultate der kantonalen Abstimmung "Teilrevision des Planungs- und Baugesetzes (PBG) – Umsetzung von Bundesrecht", 19. Mai 2019, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione cantonale "Teilrevision des Planungs- und Baugesetzes (PBG) – Umsetzung von Bundesrecht", 19 maggio 2019, Kanton Zug, suddivisi per municipalit.


de: abstimmung kantonal

it: votazione cantonale

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.


fr: election municipal

de: kommunal wahl

it: elezione comunale

rm: Resultats finals da l'elecziun federala "Kantonsratswahl 2018 Gde Neuheim", 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 Neuheim", 7 octobre 2018, Kanton Zug, répartis par municipalités et par candidats.

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

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

comunale

display_name: comunale

kommunal

display_name: kommunal

municipal

display_name: municipal

plaun-communal

display_name: plaun-communal

rm: Kantonsratswahl 2018 Gde Neuheim

fr: Kantonsratswahl 2018 Gde Neuheim

de: Kantonsratswahl 2018 Gde Neuheim

it: Kantonsratswahl 2018 Gde Neuheim


de: abstimmung national

rm: Resultats finals da la votaziun federala "Bundesbeschluss vom 3. Okt. 2008 zur Schaffung einer Spezialfinanzierung für Aufgaben im Luftverkehr ", 29 da november 2009, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Bundesbeschluss vom 3. Okt. 2008 zur Schaffung einer Spezialfinanzierung für Aufgaben im Luftverkehr ", 29 novembre 2009, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Bundesbeschluss vom 3. Okt. 2008 zur Schaffung einer Spezialfinanzierung für Aufgaben im Luftverkehr ", 29. November 2009, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Bundesbeschluss vom 3. Okt. 2008 zur Schaffung einer Spezialfinanzierung für Aufgaben im Luftverkehr ", 29 novembre 2009, Kanton Zug, suddivisi per municipalit.

abstimmung

display_name: abstimmung

federal

display_name: federal

national

display_name: national


fr: federal votation

it: votazione nazionale

rm: Resultats finals da la votaziun federala "Volksinitiative vom 05. Januar 2012 «Ja zur Aufhebung der Wehrpflicht»", 22 da settember 2013, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Volksinitiative vom 05. Januar 2012 «Ja zur Aufhebung der Wehrpflicht»", 22 septembre 2013, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Volksinitiative vom 05. Januar 2012 «Ja zur Aufhebung der Wehrpflicht»", 22. September 2013, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Volksinitiative vom 05. Januar 2012 «Ja zur Aufhebung der Wehrpflicht»", 22 settembre 2013, Kanton Zug, suddivisi per municipalit.

nazionale

display_name: nazionale

plaun-naziunal

display_name: plaun-naziunal

votation

display_name: votation

politics

de: Politik


rm: Resultats finals da la votaziun federala "Volksinitiative vom 19. Oktober 2012 «Schluss mit den Steuerprivilegien für Millionäre (Abschaffung der Pauschalbesteuerung)»", 30 da november 2014, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Volksinitiative vom 19. Oktober 2012 «Schluss mit den Steuerprivilegien für Millionäre (Abschaffung der Pauschalbesteuerung)»", 30 novembre 2014, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Volksinitiative vom 19. Oktober 2012 «Schluss mit den Steuerprivilegien für Millionäre (Abschaffung der Pauschalbesteuerung)»", 30. November 2014, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Volksinitiative vom 19. Oktober 2012 «Schluss mit den Steuerprivilegien für Millionäre (Abschaffung der Pauschalbesteuerung)»", 30 novembre 2014, Kanton Zug, suddivisi per municipalit.

votazione

display_name: votazione

votaziun

display_name: votaziun

staatskanzlei-zug

de: Staatskanzlei Zug

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


rm: Resultats finals da la votaziun federala "Änderung des Bundesgesetzes über den Allgemeinen Teil des Sozialversicherungsrechts (ATSG) (Gesetzliche Grundlage für die Überwachung von Versicherten)", 25 da november 2018, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Änderung des Bundesgesetzes über den Allgemeinen Teil des Sozialversicherungsrechts (ATSG) (Gesetzliche Grundlage für die Überwachung von Versicherten)", 25 novembre 2018, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Änderung des Bundesgesetzes über den Allgemeinen Teil des Sozialversicherungsrechts (ATSG) (Gesetzliche Grundlage für die Überwachung von Versicherten)", 25. November 2018, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Änderung des Bundesgesetzes über den Allgemeinen Teil des Sozialversicherungsrechts (ATSG) (Gesetzliche Grundlage für die Überwachung von Versicherten)", 25 novembre 2018, Kanton Zug, suddivisi per municipalit.


fr: federal election

de: wahl national

it: elezione nazionale

rm: Resultats finals da l'elecziun federala "Nationalratswahl Zug 2019", 20 d’october 2019, Kanton Zug, resultats da tut las candidatas e da tut ils candidats tenor vischnancas.

fr: Résultats finaux de l'élection fédérale "Nationalratswahl Zug 2019", 20 octobre 2019, Kanton Zug, répartis par municipalités et par candidats.

de: Schlussresultate der eidgenössischen Wahl "Nationalratswahl Zug 2019", 20. Oktober 2019, Kanton Zug, aufgeschlüsselt nach Kandidaten und Gemeinden.

it: Risultati finali della elezione federale "Nationalratswahl Zug 2019", 20 ottobre 2019, Kanton Zug, suddivisi per municipalit e candidati.

wahl

display_name: wahl

rm: Nationalratswahl Zug 2019

fr: Nationalratswahl Zug 2019

de: Nationalratswahl Zug 2019

it: Nationalratswahl Zug 2019


it: comunale elezione

rm: Resultats finals da l'elecziun federala "Kantonsratswahl 2014 Gemeinde Neuheim", 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 Neuheim", 5 octobre 2014, Kanton Zug, répartis par municipalités et par candidats.

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

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

politics

fr: Politique

it: Politica

rm: Kantonsratswahl 2014 Gemeinde Neuheim

fr: Kantonsratswahl 2014 Gemeinde Neuheim

de: Kantonsratswahl 2014 Gemeinde Neuheim

it: Kantonsratswahl 2014 Gemeinde Neuheim


fr: votation federal

rm: Resultats finals da la votaziun federala "Unternehmenssteuerreformgesetz III", 12 da favrer 2017, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Unternehmenssteuerreformgesetz III", 12 février 2017, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Unternehmenssteuerreformgesetz III", 12. Februar 2017, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Unternehmenssteuerreformgesetz III", 12 febbraio 2017, Kanton Zug, suddivisi per municipalit.

rm: Unternehmenssteuerreformgesetz III

fr: Unternehmenssteuerreformgesetz III

de: Unternehmenssteuerreformgesetz III

it: Unternehmenssteuerreformgesetz III


it: nazionale votazione

rm: Resultats finals da la votaziun federala "Bundesgesetz 18.03.2011 über die Buchpreisbindung (BuPG)", 11 da mars 2012, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Bundesgesetz 18.03.2011 über die Buchpreisbindung (BuPG)", 11 mars 2012, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Bundesgesetz 18.03.2011 über die Buchpreisbindung (BuPG)", 11. März 2012, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Bundesgesetz 18.03.2011 über die Buchpreisbindung (BuPG)", 11 marzo 2012, Kanton Zug, suddivisi per municipalit.


de: national abstimmung

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.


rm: Resultats finals da la votaziun federala "Änderung vom 20. März 2008 des BG über die Betäubungsmittel und die psychotropen Stoffe (Betäubungsmittelgesetz)", 30 da november 2008, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Änderung vom 20. März 2008 des BG über die Betäubungsmittel und die psychotropen Stoffe (Betäubungsmittelgesetz)", 30 novembre 2008, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Änderung vom 20. März 2008 des BG über die Betäubungsmittel und die psychotropen Stoffe (Betäubungsmittelgesetz)", 30. November 2008, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Änderung vom 20. März 2008 des BG über die Betäubungsmittel und die psychotropen Stoffe (Betäubungsmittelgesetz)", 30 novembre 2008, Kanton Zug, suddivisi per municipalit.


halte-an-haltestellen

maintainer: Geschäftsstelle SKI

title_for_slug: halte-an-haltestellen

label: Terms of use

spatial: Spatial

media_type: CSV

mimetype: CSV

de: Für eine Fahrplanperiode wird aufgezeigt wie oft eine bestimmtes Verkehrsmittel einer Linie eine Haltestelle anfährt.

mobility

fr: Mobilité et transports

de: Mobilität und Verkehr

en: Mobility and Transport

it: Mobilità e trasporti

oevch

fr: Secrétariat des tâches du système d’information à la clientèle (CFF SA)

de: Geschäftsstelle Systemaufgaben Kundeninformation (SBB AG)

en: Business office of Customer Information System Tasks (SBB CFF FFS)

it: Servizio commerciale Attività di sistema Informazione alla clientela (FFS SA)

fr: Le Secrétariat des tâches du système d’information à la clientèle (SKI) publie pour le compte de l’OFT les données de l’ensemble des transports publics de Suisse.

de: Die Geschäftsstelle Systemaufgaben Kundeninformation (SKI) veröffentlicht im Auftrag des BAV die Daten des gesamten öffentlichen Verkehrs der Schweiz

en: Working on behalf of the Swiss Federal Office of Transport (FOT), the Customer Information System Tasks (SKI) business office publishes data on all public transport in Switzerland

it: Il servizio commerciale Attività di sistema Informazione alla clientela (SKI) pubblica, per conto dell’UFT, i dati di tutto il trasporto pubblico in Svizzera.

political_level: other

value: Opendatatransport - DCAT Harvester

de: Halte an Haltestellen


fr: federal votation

it: votazione nazionale

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.

politics

de: Politik

staatskanzlei-zug

de: Staatskanzlei Zug

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


maintainer: OGD-Koordinationsstelle Kanton Thurgau

de: beglaubigung notariat bezirk

de: json

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

license: CC BY 4.0

de: csv

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

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

beglaubigung

display_name: beglaubigung

bezirk

display_name: bezirk

notariat

display_name: notariat

administration

fr: Administration

de: Verwaltung

en: Administration

it: Amministrazione

name: Grundbuch- und Notariatsverwaltung Kanton Thurgau

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


de: national abstimmung

rm: Resultats finals da la votaziun federala "Bundesbeschluss über eine befristete Zusatzfinanzierung der Invalidenversicherung durch Anhebung der Mehrwertsteuersätze", 27 da settember 2009, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Bundesbeschluss über eine befristete Zusatzfinanzierung der Invalidenversicherung durch Anhebung der Mehrwertsteuersätze", 27 septembre 2009, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Bundesbeschluss über eine befristete Zusatzfinanzierung der Invalidenversicherung durch Anhebung der Mehrwertsteuersätze", 27. September 2009, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Bundesbeschluss über eine befristete Zusatzfinanzierung der Invalidenversicherung durch Anhebung der Mehrwertsteuersätze", 27 settembre 2009, Kanton Zug, suddivisi per municipalit.


fr: election municipal

de: wahl kommunal

it: comunale elezione

rm: Resultats finals da l'elecziun federala "Kantonsratswahl 2014 Gemeinde Unterägeri", 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 Unterägeri", 5 octobre 2014, Kanton Zug, répartis par municipalités et par candidats.

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

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

election

display_name: election

elecziun

display_name: elecziun

elezione

display_name: elezione


de: abstimmung national

rm: Resultats finals da la votaziun federala "Änderung vom 1. Oktober 2021 des Bundesgesetzes über Filmproduktion und Filmkultur (Filmgesetz, FiG)", 15 da matg 2022, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Änderung vom 1. Oktober 2021 des Bundesgesetzes über Filmproduktion und Filmkultur (Filmgesetz, FiG)", 15 mai 2022, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Änderung vom 1. Oktober 2021 des Bundesgesetzes über Filmproduktion und Filmkultur (Filmgesetz, FiG)", 15. Mai 2022, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Änderung vom 1. Oktober 2021 des Bundesgesetzes über Filmproduktion und Filmkultur (Filmgesetz, FiG)", 15 maggio 2022, Kanton Zug, suddivisi per municipalit.

politics

fr: Politique

it: Politica


maintainer: EnviDat Support

en: national-dishes agro-food-trade food-taste-similarity latent-semantic-analysis food-preferences

en: National dishes, migration data and data for bilateral food trade flows

media_type: Stata dta file

en:
The data include information on national dishes, migration data and data for bilateral food
trade flows for 5 years as well as importer and exporter GDP, population, distance between
most populated cities, bilateral information on Preferential Trade Agreements, common
official primary langauge, common colonizer post-1945, colonial relationship for overall
171 countries. The final data set contains 145,350 observations (29,070 country pairs for
5 years)

format: SERVICE

en: information on ingredients of national dishes

media_type: .csv

en: shows information of ingredients of all national dishes of 171 countries and their names

en: dyadic food similarity measures, pairwise similarity and dissimilarity (chord diagram)

media_type: .zip

en:
The figures show the distribution of two dyadic food tastes similarity measures on the base of
the national dishes: (i) the Manhattan distance and the (ii) latent semantic analysis. The chord diagram
shows the results for country pairs with most and less similarity on basis of the LSA-approach.

en: The data described in this article were collected daily over the period 4 June 2018 to 23 August 2018 and contains information of several data sources. The database includes information on national recipes and their ingredients for 171 countries, measures for food taste similarities between all 171 countries as well as bilateral migration and agro-food trade data for 5 years. The database can be used for analyzing e.g., the relation between food preferences and international trade or food preferences and health outcomes (e.g., obesity) across countries.

agro-food-trade

display_name: agro-food-trade

food-preferences

display_name: food-preferences

food-taste-similarity

display_name: food-taste-similarity

latent-semantic-analysis

display_name: latent-semantic-analysis

national-dishes

display_name: national-dishes

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.

value: Envidat Harvester

en: Data of national dishes, their similarity and trade flows


maintainer: Matthias Haeni

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

en: Site aerial photo (Alpthal)

media_type: image/jpeg

en: Site aerial photo from the Alpthal forest station. Source: Google. 2016. Site aerial photo from the Alpthal forest station. Retrieved November 11, 2016, from https://www.google.ch/maps

mimetype: image/jpeg

en: Data plot of the forest station (ALB)

media_type: application/pdf

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

format: PDF

mimetype: application/pdf

en: Forest station data (ALB)

en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for one meteorological station in Alpthal in Switzerland which is located within a natural coniferous forest (ALB) with Norway spruce (_Picea abies_; 180-230 yrs) as dominant tree species. The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Alpthal is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed

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


en: soil-ph soil-moisture ecological-maps plants soil-mapping landolt switzerland ecological-indicator-values

en: Description

en: Description of the predictors provided in this dataset

format: XLS

en: Predictors

media_type: application/zip

en: Predictors generated and used in Descombes et al. (2020)

format: ZIP

mimetype: application/zip

en:
Ecologically meaningful predictors are often neglected in plant distribution studies, resulting in incomplete niche quantification and low predictive power of species distribution models (SDMs). Because environmental data are rare and expensive to collect, and because their relationship with local climatic and topographic conditions are complex, mapping them over large geographic extents and at high spatial resolution remains a major challenge. Here, we derived environmental data layers by mapping ecological indicator values (EIVs) in space by using a large set of environmental predictors in Switzerland.

This dataset contains the predictors (raster layers) generated and used in the following publication (Descombes et al. 2020). Only predictors for which we have the rights to share them are provided. Other datasets and predictors can be accessed via the original data provider. Details on the predictors and sources are fully described in the publication. The predictors are provided as GeoTIFF files, at 93 m spatial resolution and Mercator projection ("+proj=merc +lon_0=0 +k=1 +x_0=0 +y_0=0 +ellps=WGS84 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs"). The excel file (xlsx) provides a short description of the raster layers.

Paper Citation:

Descombes, P. et al. (2020). Spatial modelling of ecological indicator values improves predictions of plant distributions in complex landscapes. Ecography. (accepted)

ecological-indicator-values

display_name: ecological-indicator-values

ecological-maps

display_name: ecological-maps

landolt

display_name: landolt

plants

display_name: plants

soil-mapping

display_name: soil-mapping

soil-moisture

display_name: soil-moisture

soil-ph

display_name: soil-ph

switzerland

display_name: switzerland


maintainer: Christian G. Sommer

en: snow kinect wind-packing wind-crust wind-tunnel

en: README

media_type: text/plain

en: Describes the dataset in detail

format: TXT

mimetype: text/plain

en: Processing scripts

en: Contains the Matlab- and R-scripts used to process the Kinect data

en: Kinect data

media_type: Link

en: Links to the dataset

en:
This data sets contains the Microsoft Kinect data from 15 wind tunnel experiments on wind-packing / wind crust formation. These experiments were performed in the winter 2016/17. The Kinect measures distributed snow depth.

The Kinect data is organized per experiment. Each experiment subfolder contains the processed Kinect depth images and some additional files.

Please refer to the README for more details on the data. The processing scripts are available for download as well. The scripts are mainly provided as documentation and would need to be adjusted to be used.

This dataset is the basis of the following publication:

Sommer C.G., Lehning M. & Fierz C. (2018). Wind Tunnel Experiments: Influence of Erosion and Deposition on Wind-Packing of New Snow. Front. Earth Sci. 6:4. doi: 10.3389/feart.2018.00004

kinect

display_name: kinect

snow

display_name: snow

wind-crust

display_name: wind-crust

wind-packing

display_name: wind-packing

wind-tunnel

display_name: wind-tunnel

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal

en: Wind crust formation: Microsoft Kinect data


maintainer: Sven-Eric Hopf

en: fraxinus iap ash-dieback forest monitoring

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


maintainer: Giulia Mazzotti

en: forest-structure snow-energy-balance forest-snow snow-distribution snow-modelling

en: Canopy data

en: Includes all canopy structure metrics computed at all surveyed locations

en: Meteo data to drive FSM2 model

en: Includes meteorological driving data used to run the forest snow model FSM2, processed and parsed in text files that match the format required by FSM2. Separate files are available for each field area (Laret, Drusatscha and Ischlag) and season (2012/13, 2013/14, 2014/15). Each file includes data for the period from October 1st to May 31st at hourly resolution.

en: Snow depth data open sites

en: Contains all snow detph data accquired at open sites nearby the forest stands during the same period.

en: Coordinates data

en: Includes coordinate information of each surveyed point (7 x 276 = 1932 forest points, 2 open areas)

en: Grid point nomenclature

en: The grid structure of each forest site and the respective nomenclature applied to label individual points within each grid are outlined here.  Each point marks the location of snow depth measurements and co-located canopy structure parameters.

en: Snow depth data forest sites

en: Contains all snow depth data acquired at all forest sites during winters 2012/13, 2013714 and 2014/15.

en:
This dataset contains all snow, canopy and meteorological data presented and used in the publication: Mazzotti, G., Essery, R., Moeser, D. & Jonas T. (2020) 'Resolving spatial variability of forest snow using an energy-balance model with a 1-layer canopy'. Water Resources Research, https://doi.org/10.1029/2019WR026129.
This publication must be cited when using this dataset.

forest-snow

display_name: forest-snow

forest-structure

display_name: forest-structure

snow-distribution

display_name: snow-distribution

snow-energy-balance

display_name: snow-energy-balance

snow-modelling

display_name: snow-modelling

en: Snow depth, canopy structure and meterorological datasets from the Davos area, Switzerland, Winters 2012/13-2014/15, used for high-resolution forest snow modelling


data-set-on-snow-instability

title_for_slug: data-set-on-snow-instability

en: weak-layer slab avalanche-forcasting rutschblock snow-avalanche propgatoin-saw-test slab-tensile-support snow-stability-evaluation failure-initiation crack-propagation

en: Read-me file on snow instability data

en: data set on snow instability

en:
These data on snow instability include three data subsets that were analyzed and the results published by Reuter and Schweizer (2018) who suggest a novel framework on how to describe snow instability by failure initiation, crack propagation and slab tensile support.

Please refer to the Read-me file for further details on the data.

These data are the basis of the following publication:
Reuter, B. and Schweizer, J., 2018. Describing snow instability by failure initiation, crack propagation and slab tensile support. Geophys. Res. Lett., 45, doi: 10.1029/2018GL078069.

avalanche-forcasting

display_name: avalanche-forcasting

crack-propagation

display_name: crack-propagation

failure-initiation

display_name: failure-initiation

propgatoin-saw-test

display_name: propgatoin-saw-test

rutschblock

display_name: rutschblock

slab

display_name: slab

slab-tensile-support

display_name: slab-tensile-support

snow-avalanche

display_name: snow-avalanche

snow-stability-evaluation

display_name: snow-stability-evaluation

weak-layer

display_name: weak-layer

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal

en: Data set on snow instability


wind-lidar-davos-wolfgang

title_for_slug: wind-lidar-davos-wolfgang

en: raclets lidar profiles wolfgangpass wind

en: Wind LIDAR data Wolfgang

en: A Leosphere WidCube 100S was deployed at Davos Wolfang, measuring wind profiles as well as performing PPI and RHI scans. Time format is in UTC with highest time resolution of 5 seconds.

en: Scanning wind Lidar from Meteoswiss was installed at Davos Wolfgang (LON: 9.853594, LAT: 46.835577) and measured from 200 m above ground to 8100 m. The time resolution is up to 5 seconds. The Lidar was measuring wind profiles but also performed plan position indicator (PPI) and range height indicator (RHI) scans.

lidar

display_name: lidar

profiles

display_name: profiles

raclets

display_name: raclets

wind

display_name: wind

wolfgangpass

display_name: wolfgangpass

envidat

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: Wind LIDAR Davos Wolfgang


en: antarctica wrf cryowrf topography landuse

en: WPSinput

en: Input files to run the Weather Research and Forecasting model (WRF) preprocessing system WPS with REMA topography and AntarcticaLC2000 landuse data (see Documentation for details).

en: Documentation

en: Documentation about how the provided dataset was produced including details to reproduce the dataset.

en: Scripts

en: Scripts to run the preprocessing to produce WRF binary tiles from REMA and AntarcticaLC2000 for topography and landuse (see Documentation for procedure).

en:
Reference Elevation Model of Antarctica (REMA) topography and AntarcticaLC2000 landuse data
are now available as static data input for the Weather Research and Forecasting model (WRF). Topography
and landuse are made available at a spatial resolution of 1 km. This documentation describes the methods
applied to convert REMA and AntarcticaLC2000 to WRF readable format and shows how this improves
the representation of the Antarctic topography and landuse categories over coastal Antarctic regions.

antarctica

display_name: antarctica

cryowrf

display_name: cryowrf

landuse

display_name: landuse

topography

display_name: topography

wrf

display_name: wrf

en: REMA topography and AntarcticaLC2000 for WRF


maintainer: EnviDat

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

en: NEAD on GitHub

media_type: HTML

format: HTML

en: NEAD syntax v0.1 (EBNF)

en: MeteoIO (future reference implementation)

media_type: text/html

mimetype: text/html

en: PyNEAD (future reference implementation)

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

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

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

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

License: The NEAD specifications are released to the public domain under a Creative Commons 4.0 CC0 "No Rights Reserved" international license. You can reuse the information contained herein in any way you want, for any purposes and without restrictions.

csv

display_name: csv

metadata-convention

display_name: metadata-convention

meteorological-data-format

display_name: meteorological-data-format

nead

display_name: nead

research-data-management

display_name: research-data-management

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal

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


en: gis jupyter density buffer roads geospatial

en: Plots

en: Random plot locations

en: Road data from OSM for the surroundings of Menzberg, Switzerland

en: Road Density Calculation (Python Notebook) online

media_type: url

media_type: ipynb

en:
This dataset contains the road and plot data used for the geospatial analysis example showcased in "Fostering Open Science at WSL with the EnviDat Environmental Data Portal", a contribution to the 5th Open Source Geospatial Research and Education Symposium (OGRS), 2018.
The example uses Jupyter Notebook to calculate road densities in the neighbourhood of sample plot locations with Python. Road data were extracted from OpenStreetMap, while the point data (sample plots) were generated manually.

buffer

display_name: buffer

density

display_name: density

geospatial

display_name: geospatial

gis

display_name: gis

jupyter

display_name: jupyter

roads

display_name: roads

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: Dataset for OGRS 2018 publication


en: wagital gcos snow meteodat-gmbh snow-water-equivalent

media_type: TXT

en:
Total water reserves of the snow cover [mio m3] for Wägital catchment, Switzerland, for reference date April 1. Data is separated in 2 elevation zones 900m-1500m asl and 1500m-2300m asl. Time period 1943-2022, status 2022-04-20.

Funded currently or in the past by:

- Federal Office of Meteorology and Climatology MeteoSwiss in the context of GCOS Switzerland
- Meteodat GmbH
- Institute of Geography, University of Zurich
- WSL Institute for Snow and Avalanche Research SLF
- Institute of Geography, ETH Zurich (IAC ETH Zurich)
- AG Kraftwerk Wägital (AXPO and EWZ)

See also https://www.meteodat.ch/waegital.html

gcos

display_name: gcos

meteodat-gmbh

display_name: meteodat-gmbh

snow

display_name: snow

snow-water-equivalent

display_name: snow-water-equivalent

wagital

display_name: wagital

en: Snow water equivalent for reference date April 1 for Wägital catchment, starting 1943


maintainer: Anita C. Risch

en: soil mineralization soil-chemistry grassland soil-biology nutrient-network global worldwide

en:
site.code: Site code

Continent: Continent

sampleID: Sample ID

nn.latitude: Lattitude

nn.longitude: Longitude

bioclim.T.ann: Mean annual temperature (°C)

bioclim.T.var: Temperature variability (°C)

bioclim.T.q.wet: Temperature of the wettest quarter (°C)

bioclim.T.q.dry: Temperature of the driest quarter (°C)

bioclim.T.q.warm: Temperature of the warmest quarter (°C)

bioclim.P.ann: Mean annual preciptiation (mm)

bioclim.P.q.wet: Precipitation of the wettest quarter (mm)

ch.pH: pH

ch.WSK.vol: Water holding capacity (vol%)

ch.bulkdensity.gcm3: Bulk density (g cm-3)

ch.porespace: Pore space (vol%)

ch.sand.perc: Soil texture: sand (%)

ch.silt.perc: Soil texture: silt (%)

ch.clay.perc: Soil texture: clay (%)

ch.NO3start.mgg: NO3 at the beginning of the incubation (mgkg)

ch.Ntot.perc: Total soil N (%)

ch.Ctot.perc: Total soil C (%)

ch.Corg.perc: Soil organic C (%)

ch.netNminfield.mgkgd: Realised soil net N mineralisation (mg kg-1 d-1)

ch.netNminlab.mgkgd: Potential soil ne N mineralisation (mg kg-1 d-1)

archaea.cpg.log: Ammonia oxidising archaea (archaeal amoA gene copies g-1 soil)

bacteria.cpg.log: Ammonia oxidising bacteria (bacterial amoA gene copies g-1 soil)

micr.biom: Microbial biomass (ug g-1 soil)

ch.CtoN: C to N ratio

ch.netNnitriffield.mgkgd.sqrt: Realised soil net nitrification, transformed (mg kg-1 d-1)

ch.netNammoniffield.mgkgd.sqrt: Realised soil net ammonification, transformed (mg kg-1 d-1)

ch.netNnitriflab.mgkgd.sqrt: Potential soil net nitrification, transformed (mg kg-1 d-1)

ch.netNammoniflab.mgkgd.sqrt: Potential soil net ammonifiation, transformed (mg kg-1 d-1)

en:
This dataset contains all data on which the following publication below is based.

Paper Citation:

Risch, A. C.; Zimmermann, S.; Ochoa-Hueso, R.; Schütz, M.; Frey, B.; Firn, J. L.; Fay, P. A.; Hagedorn, F.; Borer, E. T.; Seabloom, E. W.; et al. Soil net nitrogen mineralisation across global grasslands. Nat. Commun. 2019, 10 (1), 4981 (10 pp.). doi.org/10.1038/s41467-019-12948-2

Please cite this paper together with the citation for the datafile.

We conducted coordinated measurements of realised and potential soil net Nmin, and assessed water holding capacity, bulk density, C and N content, texture, pH, pore space, microbial biomass, and archaeal (AOA) and bacterial (AOB) ammonia oxidiser abundance using identical materials and methods across 30 grasslands on six continents. The sites covered a globally relevant range of climatic and edaphic conditions. Climate data was obtained from worldclim - Global climate data https://www.worldclim.org/

global

display_name: global

grassland

display_name: grassland

mineralization

display_name: mineralization

nutrient-network

display_name: nutrient-network

soil

display_name: soil

soil-biology

display_name: soil-biology

soil-chemistry

display_name: soil-chemistry

worldwide

display_name: worldwide


maintainer: Ionuț Iosifescu Enescu

en: large map 10GB

media_type: image/tiff

format: TIFF

mimetype: image/tiff

en: huge map 100GB

en: map 0.2GB

en: map 1GB

en: map preview 0.5MB

en: map 2GB

en: map 0.5GB

en: Bulk Data Access

en: Link to the S3 bucket where all the data resources can be downloaded in bulk

en:
The attached data are some large GIS raster files (GeoTIFFs) made with Natural Earth data. Natural Earth is a free vector and raster map data @ naturalearthdata.com. The data used for creating these large files was the "Cross Blended Hypso with Shaded Relief and Water". Data was concatenated to achieve larger and larger files. Internal pyramids were created, in order that the files can be opened easily in a GIS software such as QGIS or by a (future) GIS data visualisation module integrated in EnviDat.

Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com

large-files

display_name: large-files

natural-earth

display_name: natural-earth

qgis

display_name: qgis

education

en: Education and science

en: Large GIS raster data derived from Natural Earth Data (Cross Blended Hypso with Shaded Relief and Water)


en: deposition atmosphere dust snow particles hill turbulence

en: preferential deposition patterns of all simulations performed

en: The data consist of matlab files. Each files contains a 2D array with the values of deposition at the surface nodes. Each array has Nx x Ny values. Please refer to the original paper for additional information on the spatial resolution and grid size.

en:
Preferential deposition of snow and dust over complex terrain is responsible for a wide range of environmental processes, and accounts for a significant source of uncertainty in surface mass balances of cold and arid regions. Despite the growing body of literature on the subject, previous studies reported contradictory results on the location and magnitude of deposition maxima and minima. This study aims at unraveling the governing processes of preferential deposition in neutrally stable atmosphere and to reconcile seemingly inconsistent results of previous works. For this purpose, a comprehensive modeling approach is developed, based on large eddy simulations of the turbulent airflow, Lagrangian stochastic model of particle trajectories, and immersed-boundary method to represent the underlying topography. The model performance is tested against wind tunnel measurements of dust deposition around isolated and sequential hills. A scale analysis is then performed to investigate the dependence of snowfall deposition on the particle Froude and Stokes numbers, which fully account for the governing processes of inertia, flow advection, and gravity. Additional simulations are performed, to test whether the often used assumption of inertialess particles yields accurate deposition patterns. We finally show that our scale analysis provides qualitatively similar results for hills with different aspect ratios.

This dataset contains the results of the LES-LSM model. Each Matlab file contains a 2D array of deposition values (in kg/m2) in each surface node (ix, iy) of the Cartesian grid. The file names are consistent with the simulation numbers listed in the original paper. For additional information, please refer to "Preferential deposition of snow and dust over hills: governing processes and relevant scales" by F. Comola, M. G. Giometto, S. T. Salesky, M. B. Parlange, and M. Lehning, Journal of Geophysical Research: Atmospheres, 2019.

atmosphere

display_name: atmosphere

deposition

display_name: deposition

dust

display_name: dust

hill

display_name: hill

particles

display_name: particles

turbulence

display_name: turbulence

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.


maintainer: James W. Kirchner

en: groundwater sap-flow snowmelt diel-cycle evapotranspiration diurnal-cycle streamflow ecohydrology

en: MODIS EVI2 script

en: Google Earth Engine script for computing MODIS two-band enhanced vegetation index (EVI2) values and averaging them over subcatchments.

en: 30-minute time series

en: 30-minute hydrometeorological and ecohydrological time series.

en: Subcatchment polygons

en: Subcatchment polygons for use in the Google Earth Engine scripts.

en: Daily time series

en: Daily hydrometeorological and ecohydrological time series

en: MODIS NDSI script

en: Google Earth Engine script for computing MODIS normalized difference snow index (NDSI) values and averaging them over subcatchment areas.

en: Metadata

en: Column descriptions for both data files, and map coordinates for all measurement locations.

en:
Hydrometerological and ecohydrological time series from Sagehen Creek and Independence Creek, Sierra Nevada, USA, illustrating hydrological responses to daily cycles in snowmelt and evapotranspiration forcing.

Data include 30-minute time series of

- weather variables,

- sap flow fluxes,

- groundwater levels (in two riparian transects of shallow groundwater wells),

- and stream stages (at 12 sites spanning a 500-meter elevation gradient),

and daily time series of

- temperature, precipitation, and snow water equivalent at three nearby snow telemetry stations

- diel cycle index values for groundwater levels and stream stages,

- and MODIS normalized difference snow index (NDSI) and enhanced vegetation index (EVI2) values averaged over selected subcatchments.

Google Earth Engine scripts for extracting the MODIS data are also provided.

diel-cycle

display_name: diel-cycle

diurnal-cycle

display_name: diurnal-cycle

ecohydrology

display_name: ecohydrology

evapotranspiration

display_name: evapotranspiration

groundwater

display_name: groundwater

sap-flow

display_name: sap-flow

snowmelt

display_name: snowmelt

streamflow

display_name: streamflow

en: Daily cycles in solar flux, snowmelt, transpiration, groundwater, and streamflow at Sagehen and Independence Creeks, Sierra Nevada, USA


maintainer: Robert Pazúr

en: sentinel-2 switzerland machine-learning phenology cropland vegetation-indices grassland habitat remote-sensing agriculture

en: GEE (Google Earth Engine) script (JavaScript) to derived the output map  (v1.5)

media_type: JS

en: The code used in Google Earth Engine to derive the cropland, grassland and shrubland map of Switzerland. Compare to the previous version the newer version includes the shadow masking procedure which might be important in the mountainous areas.

en: Cropland and grassland map of Switzerland  (v.1.0)

media_type: TIFF

en: !!! Please check out the newer version in this repository !!! (1) cropland; (2) grassland; other LC classes are masked out from the map

en: (current version) Cropland, grassland, and shrubland map of Switzerland (v.1.5)

media_type: geotiff

format: GeoTIFF

en: (current version) Mask of unsealed surfaces of Switzerland based on 3 years Sentinel-2 NDVI 95th percentile threshold value: 0.6 (v1.5)

en: Assuming that sealed surfaces have little or no phenological response we calculated a mask of unsealed surfaces based on the 3 years (2017-2019) Sentinel-2 NDVI 95th percentile threshold value: 0.6.

en: (current version) Mask of unsealed surfaces of Switzerland based on 3 years Sentinel-2 NDVI 95th percentile threshold value: 0.7 (v1.5)

en: Mask of unsealed surfaces of Switzerland based on 3 years Sentinel-2 NDVI 95th percentile threshold value: 0.6  (v1.0)

en:
!!! Please check out the newer version in the repository !!!
Mask of unsealed surfaces of Switzerland based on 3 years (2017-2019) Sentinel-2 NDVI 95th percentile threshold value: 0.6

en: Mask of unsealed surfaces of Switzerland based on 3 years Sentinel-2 NDVI 95th percentile threshold value: 0.7 (v1.0)

en: !!! Please check out the newer version in this repository !!! Assuming that sealed surfaces have little or no phenological response we calculated a mask of unsealed surfaces based on the 3 years (2017-2019) Sentinel-2 NDVI 95th percentile threshold value: 0.7.

en: (current version) Cropland and grassland map of Switzerland (v.1.5)

en: Cropland, grassland, and shrubland map of Switzerland (v1.0)

en: !!! Please check out the newer version in this repository !!! (1) cropland; (2) grassland; (3) shrubland; other LC classes are masked out from the map

en: GEE (Google Earth Engine) script (JavaScript) to derived the output map  (v1.0)

en: !!! Please check out the newer version in the repository !!! The code used in Google Earth Engine to derive the cropland, grassland and shrubland map of Switzerland

en: We developed a map of cropland and grassland allocation for Switzerland based on several indices dominantly derived from Sentinel-2 satellite imagery captured over multiple growing seasons. The classification model was trained based on parcel-based data derived from landholder reporting. The mapping was conducted on Google Earth Engine platform using random forest classifier. Areas of high vegetation, shrubland, sealed surface and non-vegetated areas were masked out from the country-wide map. The resulting map has high accuracy in lowlands as well as mountainous areas.

agriculture

display_name: agriculture

cropland

display_name: cropland

grassland

display_name: grassland

habitat

display_name: habitat

machine-learning

display_name: machine-learning

phenology

display_name: phenology

remote-sensing

display_name: remote-sensing

switzerland

display_name: switzerland

vegetation-indices

display_name: vegetation-indices

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal

en: Cropland and grassland map of Switzerland based on Sentinel-2 data


en: species-richness species-distribution-model species-range-map pinales fagales species-occurrence

en: Species range maps of species in Fagales and Pinales (with enough occurrences)

media_type: ZIP

en: species_map.zip includes species 1690 range maps generated based on the integrated method described in Lyu et al., (2022). File names with (polygon) indicate that this map is only generated by polygon mapping, as there are not enough occurrences for SDMs.

en: Occurrence maps for species of Fagales and Pinales with few records

en: Point_buffer.zip includes 267 occurrence maps of species that do not have enough occurrence data for polygon mapping.

en:
This database contains 1957 distribution maps of species from Fagales and Pinales constructed based on a method integrating polygon mapping and SDMs (Lyu et al., 2022).
To construct the maps, we first collected occurrence data from 48 different sources. According to the number of occurrences after data cleaning, three kinds of maps are constructed: (1) For species with more than 20 occurrences, we performed SDM and polygon mapping described in Lyu et al. (2022) and select the integration of the two layers as the distribution range; (2) For species with more than 4 but less than 20 occurrences, we only use polygon mapping to draw the distribution range; (3) For species with less than 4 occurrences, a 20-km buffer was generated around the occurrences as the distribution range. The maps were manually checked and evaluated (see Note S3 and Table S9 in Lyu et al., 2022 for details).

fagales

display_name: fagales

pinales

display_name: pinales

species-distribution-model

display_name: species-distribution-model

species-occurrence

display_name: species-occurrence

species-range-map

display_name: species-range-map

species-richness

display_name: species-richness

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: Species distribution maps of Fagales and Pinales (GDPlants)


en: plynlimon streamflow tracer catchment stable-water-isotopes deuterium chloride precipitation

en: 7-hourly stable water istopes

en: Data set of 7-hourly stable water isotope data measured at Carreg Wen (precipitation) and Upper Hafren (streamflow).

en: Data Set Documentation

en: This file contains a documentation of the data sets, including references to other helpful documentations.

en: Weekly stable water isotopes

en: Data set of weekly stable water isotope data collected at Carreg Wen (precipitation) and Lower Hafren and Tanllwyth (streamflow).

en: The data base contains timeseries of stable water isotopes in precipitation and streamflow at Plynlimon, Wales, UK. One data set contains weekly stable water isotope data from the Lower Hafren and Tanllwyth catchments, and the other data set contains 7-hourly stable water isotope data from Upper Hafren. Both data sets also include chloride concentrations in precipitation and streamflow.

catchment

display_name: catchment

chloride

display_name: chloride

deuterium

display_name: deuterium

plynlimon

display_name: plynlimon

precipitation

display_name: precipitation

stable-water-isotopes

display_name: stable-water-isotopes

tracer

display_name: tracer

en: Stable water isotopes in precipitation and streamflow at Plynlimon, Wales, UK


mountain-permafrost-hydrology

maintainer: Jeannette Noetzli

title_for_slug: mountain-permafrost-hydrology

en: ice-rich-permafrost monitoring-techniques mass-movements climate-change-impacts permafrost-degradation mountain-permafrost-hydrology

en: DORA Persistent URL

media_type: PDF

en: Synthesis report chapter of the Hydro-CH2018 project of the Federal Office for the Environment (FOEN)

en: This report was prepared as one of the synthesis report chapters of the Hydro-CH2018 project of the Federal Office for the Environment (FOEN). In earlier reports such as the CH2014-IMPACTS report (CH-Impacts 2014), the topic of mountain permafrost hydrology was not addressed. Here, we provide a baseline of the available knowledge of mountain permafrost in the Swiss Alps for future reference. We compile an overview of the current understanding of mountain permafrost in the Swiss Alps, its distribution and characteristics, observed and projected changes, and expected impacts on slope stability, infrastructure and hydrological aspects. We also briefly describe the measurement techniques and modelling approaches applied. The chapter closes with a summary of the most important open research questions. The literature cited mainly includes studies on mountain permafrost published in scientific journals and assessments of long-term observation data. We focus on permafrost hydrology interactions wherever information is available. However, systematic studies on permafrost hydrology in mountain areas are still limited.

climate-change-impacts

display_name: climate-change-impacts

ice-rich-permafrost

display_name: ice-rich-permafrost

mass-movements

display_name: mass-movements

monitoring-techniques

display_name: monitoring-techniques

mountain-permafrost-hydrology

display_name: mountain-permafrost-hydrology

permafrost-degradation

display_name: permafrost-degradation

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal

en: Mountain Permafrost Hydrology


backward-trajectories

maintainer: Michael Sprenger

title_for_slug: backward-trajectories

en: atmospheric-dynamics backward-trajectories lagrangian-analysis cosmo alps raclets complex-topopgraphy

en: Backward Trajectories

en: The trajectories are started from surface up to 5000 m altitude, with an equidistant vertical spacing of 200 m, and calculated 120 h backward in time. As long as the trajectories stay in the COSMO1 domain (essentially the Alpine region), as run operationally at MeteoSwiss, the COSMO analysis wind fields are used. When the trajectories leave this domain, they are extended further backward in time based on ECMWF analysis data. The following fields are traced along the trajectories: longitude, latitude, geopotential height, pressure, specific humidity, temperature and surface topography. Furthermore, it is indicated for each trajectory time instance on which model data, COSMO or ECMWF, the trajectory time is based. Finally, the trajectories are started every hour in the specified time period, and positions and fields are available every 10 min. Each day is saved as a separate file. The last 8 digits of the file names indicate the starting date of the trajectories.

en: Backward trajectories were calculated from two positions: Davos Wolfgang (LON: 9.85361, LAT: 46.83551) and Weissfluhjoch (LON: 9.80646 LAT: 46.83304) for the time period February 2 until March 27 2019 using COSMO or ECMWF, respectively.

alps

display_name: alps

atmospheric-dynamics

display_name: atmospheric-dynamics

backward-trajectories

display_name: backward-trajectories

complex-topopgraphy

display_name: complex-topopgraphy

cosmo

display_name: cosmo

lagrangian-analysis

display_name: lagrangian-analysis

raclets

display_name: raclets

envidat

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: Backward  Trajectories


maintainer: Thorsten Bartels-Rausch

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

en: Matlab Script to view and plot data

media_type: .m

en: Acetone data

media_type: dat

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

en: Data Figure 1

en: Data of published Figure

en: Ozone data

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

en: data list

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

en: Matlab Data

media_type: mat

en: All data as Matlab mat file

en: Readme file

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

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

alpine

display_name: alpine

antarctica

display_name: antarctica

arctic

display_name: arctic

brine

display_name: brine

chemistry

display_name: chemistry

heterogeneous

display_name: heterogeneous

interface

display_name: interface

laboratory-study

display_name: laboratory-study

metamorphism

display_name: metamorphism

ozone

display_name: ozone

reaction

display_name: reaction

snow

display_name: snow

solution

display_name: solution

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


en: growing-degree-days growing-season-length relative-humidity soil-water-balance solar-radiation temperature precipitation

en: CHELSA-BIOCLIM+ Technical Documentation

en: Technical documentation document including the variable names, units, scaling, offset, and background.

en: CHELSA-BIOCLIM+

en: Global extented set of bioclimatic variables at different temporal (e.g. monthly, annual, long term normals) resolution in Geotiff format.

en: A multitude of physical and biological processes on which ecosystems and human societies depend are governed by climatic conditions. Understanding how these processes are altered by climate change is central to mitigation efforts. Based on mechanistically downscaled climate data, we developed a set of climate-related variables at yet unprecedented spatiotemporal detail as a basis for environmental and ecological analyses. We created gridded data for near-surface relative humidity (hurs), cloud area fraction (clt), near-surface wind speed (sfcWind), vapour pressure deficit (vpd), surface downwelling shortwave radiation (rsds), potential evapotranspiration (pet), climate moisture index (cmi), and site water balance (swb), at a monthly temporal and 30 arcsec spatial resolution globally starting 1980 until 2018. At the same spatial resolution, we further estimated climatological normals of frost change frequency (fcf), snow cover days (scd), potential net primary productivity (npp), growing degree days (gdd), and growing season characteristics for the periods 1981-2010, 2011-2040, 2041-2070, and 2071-2100, considering three shared socioeconomic pathways (SSP126, SSP370, SSP585) and five Earth system models. Time-series variables showed high accuracy when validated against observations from meteorological stations. Climatological normals were also highly correlated to observations although some variables showed notable biases, e.g., snow cover days (scd). Together, the data sets presented here allow improving our understanding of patterns and processes that are governed by climate, including the impact of recent and future climate changes on the world’s ecosystems and associated services to societies.

growing-degree-days

display_name: growing-degree-days

growing-season-length

display_name: growing-season-length

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

soil-water-balance

display_name: soil-water-balance

solar-radiation

display_name: solar-radiation

temperature

display_name: temperature

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: CHELSA-BIOCLIM+ A novel set of global climate-related predictors at kilometre-resolution


en: viscous-deformation sintering snow-failure snow-avalanche fiber-bundle-model snow-mechanics snow acoustic-emissions

en: fiber-bundle-model-for-snow-failure

media_type: application/zip

en: Data underlying Figures in publication "Modelling Snow Failure Behavior and Concurrent Acoustic Emissions Signatures with a Fiber Bundle Model" submitted to "Geophysical Research Letters"

en:
This dataset contains modeled and experimental results for laboratory snow failure experiments and the concurrent acoustic emissions signatures for different loading rates. For modelling the snow failure we used a fiber bundle model that includes sintering and viscous deformation.

The data underlay the figures in the publication "Modelling Snow Failure Behavior and Concurrent Acoustic Emissions Signatures with a Fiber Bundle Model" submitted for publication to "Geophysical Research Letters".

acoustic-emissions

display_name: acoustic-emissions

fiber-bundle-model

display_name: fiber-bundle-model

sintering

display_name: sintering

snow-avalanche

display_name: snow-avalanche

snow-failure

display_name: snow-failure

snow-mechanics

display_name: snow-mechanics

viscous-deformation

display_name: viscous-deformation

en: Fiber Bundle Model for snow failure and concurrent Acoustic Emissions


en: cosmo-wrf high-resolution meteoswiss complex-terrain numerical-simulation

en: COSMO-WRF documentation

media_type: application/pdf

en: Documentation about the procedure to run COSMO-WRF

en: WPSSetup

en: Scripts that need to be changed to compile WPS (see COSMOWRFdocumentation.pdf, Section 4)

en: Postprocessing

en: Postprocessing scripts to map WRF output on swiss coordinates (see Section 7 in COSMOWRFdocumentation.pdf)

en: StaticData

en:
Scripts to process geographical/static data (see Section 3 in COSMOWRFdocumentation.pdf).
- ascii_to_bin_landuse.f90
- ascii_to_bin_soiltype.f90
- ascii_to_bin_topo_wgs84_ws2sf1.f90
- see_slopes.ncl
- soiltype_writing.py
- toposmooth_wgs84_cosmobound.ncl
- write_geogrid.o

en: WRFrun

en: Scripts to run COSMO-WRF simulation (see Section 6 in COSMOWRFdocumentation.pdf)

en: WPSrun

en: Scripts to run the WRF pre-processing (WPS) for COSMO-WRF simulation (see Section 5 in COSMOWRFdocumentation.pdf)

en: MeteorologicalData

en: Scripts to process meteorological data (see Section 2 in COSMOWRFdocumentation.pdf).

en: This is a technical documentation of the procedure to run the Weather Research and Forecasting (WRF) model over complex alpine terrain using Consortium for Small-Scale Modeling (COSMO) reanalysis by the Federal Office of Meteorology and Climatology (MeteoSwiss) as initial and boundary conditions (COMSO-WRF). The setup is adapted for very high resolution simulations based on COSMO-2 (2.2 km resolution) reanalysis. This document gives an overview over steps to setup COSMO-WRF and adaptations needed to run COSMO-WRF. Additionally, the calculation of precipitation rate at a horizontal plane and remapping COSMO-WRF output on Swiss coordinates are documented.

complex-terrain

display_name: complex-terrain

cosmo-wrf

display_name: cosmo-wrf

high-resolution

display_name: high-resolution

meteoswiss

display_name: meteoswiss

numerical-simulation

display_name: numerical-simulation

en: Running COSMO-WRF on very-high resolution over complex terrain


en: amphibians wetlands conservation landscape occupancy-models

en: Covariate data 1

media_type: CSV

en: This file contains covariate data that does not change over time for 856 ponds: the region the pond is in, whether the pond is old or new (constructed since 1991), elevation, water surface area, fluctuations of the water table (yes, no), the percent forest cover in 100m radius around the pond, the area or large (>6m wide) roads in 1km radius around the pond.

en: Readme

en: Description of methods and datasets.

en: Original raw data

media_type: XLSX

en: This file contains the original raw monitoring data as provided by the canton of Aargau. Access is restricted and only considered upon request and in consultation with the canton of Aargau.

en: Observation data

en: This file contains detection/non-detection data for the 12 amphibian species between 1999 and 2019 for 3 annual visits. Detectable denotes whether or not a visit j was made to pond i in year t. ObservedID gives a unique ID for the observer collecting the data during visit j to pond i in year t.

en: Covariate data 2

en: This file contains covariate data that changes over time for 856 ponds in 21 years (long format): whether or not a pond exists in year _t_, the age of constructed ponds in year _t_, structural connectivity of the pond in year _t_.

en: Model code

media_type: Rmd

en: This R markdown file contains all code and descriptions necessary to load and format the provided data and to fit the dynamic occupancy models described in the associated publication, including JAGS code for the fitted models.

en: Model code, description

en: This is the output of the R markdown file that provides JAGS model code and describes how to format the provided data and fit the dynamic occupancy models described in the associated publication, for a quick overview.

en:
In the canton of Aargau, hundreds of new ponds have been constructed since the 1990s to benefit declining amphibian populations. This dataset consists of monitoring data for all 12 pond-breeding amphibian species in the canton of Aargau from 1999 to 2019 in 856 ponds, and environmental variables that describe the ponds and the landscape surrounding the ponds. Species observation data is detection/non-detection data from repeat visits during survey years, during which all potentially suitable ponds in an area were surveyed. Environmental variables describing the ponds are whether the pond has been newly constructed since 1991 or not, pond age (if constructed), elevation a.s.l., the water surface area, and whether the water table fluctuates or not. Environmental variables describing the surroundings of the ponds are the percent area of forest within a circular buffer of radius 100m around the pond, the area of large (width ≥6m) roads within a circular buffer of radius 1km around the pond, and structural connectivity.

The canton of Aargau is the owner of the monitoring data; the original datafile is only disclosed upon request and in consultation with the canton of Aargau.

The edited dataset contains cleaned observation data for the 12 amphibian species, as well as compiled and edited covariate data and code to fit dynamic occupancy models.

amphibians

display_name: amphibians

conservation

display_name: conservation

landscape

display_name: landscape

occupancy-models

display_name: occupancy-models

wetlands

display_name: wetlands

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: Amphibian observation and pond data (Aargau, Switzerland)


en: alptal switzerland time-series groundwater studibach

media_type: text/plain

en:
Groundwater time series of the monitoring network in the Studibach (C7) catchment, Alptal, Switzerland published in
Rinderer M., van Meerveld I, McGlynn B. (2019): From points to patterns – Assessing runoff source area dynamics and hydrological connectivity using time series clustering. Water Resources Research, doi: 2018WR023886R

en: Groundwater time series between 2010 and 2014 of the distributed monitoring system in the Studibach (C7), Alptal, Switzerland. Data published in Rinderer M., van Meerveld I, McGlynn B. (2019): From points to patterns – Assessing runoff source area dynamics and hydrological connectivity using time series clustering. Water Resources Research, doi: 2018WR023886R

alptal

display_name: alptal

groundwater

display_name: groundwater

studibach

display_name: studibach

switzerland

display_name: switzerland

time-series

display_name: time-series

en: Groundwater time series Studibach (Rinderer et al., 2019, WRR)


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

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.

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


maintainer: Fachstelle Open Government Data des Kantons Zürich

de: ZH Datasets Visits - 2018 März

media_type: text/csv

de: ZH Datasets Visits - 2020 November

de: Ausgenommen sind die Datensätze, die von der Geoinformation des Kantons Zürich auf opendata.swiss verwaltet werden.

de: ZH Datasets Visits - 2018 August

de: ZH Datasets Visits - 2019 November

de: ZH Datasets Visits - 2018 April

de: ZH Datasets Visits - 2019 April

de: ZH Datasets Visits - 2019 Dezember

de: ZH Datasets Visits - 2019 Juni

de: ZH Datasets Visits - 2018 September

de: ZH Datasets Visits - 2019 September

de: ZH Datasets Visits - 2018 Februar

de: ZH Datasets Visits - 2018 Juni

de: ZH Datasets Visits - 2020 Februar

de: ZH Datasets Visits - 2018 Juli

de: Ausgenommen sind die Datensätze, die von der Geoinformation des Kanton Zürich auf opendata.swiss verwaltet werden.

de: Monatliche Nutzungsstatistiken (Anzahl Besuche) der Open Government Data (OGD) Metadatensätze von Verwaltungseinheiten und Organen des Kantons Zürich, die auf dem zentralen Katalog für offene Behördendaten opendata.swiss findbar sind. Hinweise: Ab Januar 2019 sind die Web Analytics um weitere Metadateninformationen erweitert bzw. wurden Metadatenanpassungen vorgenommen. Ab März 2021 sind die monatlichen Aktualisierungen aufgrund technischer Herausforderungen pausiert. Variabelndefinitionen: Column 'name' = dataset slug; 'issued' = first publication of dataset; 'organization_name' = publisher slug; 'organization_url' = publisher URL; 'E' up to 'AB' = thematic categories according to DCAT AP Switzerland.

fachstelle-ogd-kanton-zuerich

de: Fach- und Koordinationsstelle Open Government Data Kanton Zürich

de: Die Fach- und Koordinationsstelle Open Government Data (OGD) ist das kantonale Kompetenzzentrum für offene Behördendaten im Statistischen Amt. Wir unterstützen die Organisationseinheiten und Organe des Kantons bei der Bereitstellung ihrer nicht schützenswerten Daten als Open Data.

de: Web Analytics der Open Government Data des Kantons Zürich auf opendata.swiss von Februar 2018 bis Februar 2021


maintainer: Michael Lehning

en: snow-conservation snow-farming snow winter-tourism terrestrial-laser-scanning snowpack

en: Martell .sno

media_type: SNO

en: Input snow profile (.sno file) used for SNOWPACK simulations of the Martell heap

en: HS Martell autumn 2015

en:
Snow depth/ height of snow heap in autumn 2015 obtained by terrestrial laserscanning
cell size: 10 cm
spatial reference: European Datum 1950 UTM
Nodata: -9999

en: Martell .smet

media_type: SMET

en: Meteodata used as input for SNOWAPCK simulations, orginating from Station Hintermartell.

en: HS Fluela spring 2015

en:
Snow depth/ height of snow heap in spring 2015 obtained by terrrestrial laserscanning
cell size: 10 cm
spatial reference: CH1903

en: Fluela .smet

en: Meteodata used as input for SNOWAPCK simulations, orginating from Station Windtunnel and DAV.

en: Fluela .sno

en: Input snow profile (.sno file) used for SNOWPACK simulations of the Flüela heap

en: HS Fluela autumn 2015

en:
Snow depth/ height of snow heap in autumn 2015 obtained by terrestrial laserscanning
cell size: 10 cm
spatial reference: CH1903
Nodata: -9999

en: HS Martell spring 2015

en:
Snow depth/ height of snow heap in spring 2015 obtained by terrestrial laserscanning
cell size: 10 cm
spatial reference: European Datum 1950 UTM
Nodata: -9999

en:
Two data sets obtained for snow farming projects (Fluela, Davos, CH and Martell, IT) in 2015.

The data set contains for each site:

* 10 cm GIS raster of snow depth calculated from terrestrial laserscanning surveys (TLS) in the end of winter season (April/May)

* 10 cm GIS raster of snow depth calculated from TLS in the end of summer season (October)

Input files for SNOWPACK model:

* .sno: snow profile at the end of winter

* .smet: meteorological data measured by weather stations in the area

For more details see Grünewald, T., Lehning, M., and Wolfsperger, F.: Snow farming: Conserving snow over the summer season, The Cryosphere Discuss., https://doi.org/10.5194/tc-2017-93, in review, 2017.

snow

display_name: snow

snow-conservation

display_name: snow-conservation

snow-farming

display_name: snow-farming

snowpack

display_name: snowpack

terrestrial-laser-scanning

display_name: terrestrial-laser-scanning

winter-tourism

display_name: winter-tourism

education

de: Bildung, Wissenschaft

envidat

de: EnviDat: das Umwelt-Datenportal

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

en: Snowfarming data set Davos and Martell 2015


snow-depth-mapping

maintainer: Mauro Marty

title_for_slug: snow-depth-mapping

en: snow-water-equivalent aerial-imagery dsm snow-depth image-matching snow-hydrology avalanche

en: Snow depth map 20140417

media_type: image/tiff

en: Snow depth map generated from ADS 100 imagery (CIR). GSD of imagery = 0.18 m

en: Snow depth map 20130415

en: Snow depth map generated from ADS 80 imagery (CIR). GSD of imagery = 0.25 m

en: Snow depth map 20160420

en: Snow depth map 20150415

en: Snow depth map 20100416

en: Snow depth map 20160309

en: Snow depth map 20160126

en:
Snow depth map generated from ADS 100 imagery (CIR). GSD of imagery = 0.16 m
Because of very diffuse light conditions at time of image acquisition the quality of the resulting snow depth values are in some regions quite poor.

en: Snow depth map 20120320

en:
The available datasets are snow depth maps with a spatial resolution of 2m generated from image matching of ADS 80/100 data. Image acquisition took place at peak of winter (time when the thickest snowpack is expected). The snow depth maps are the difference of a summer DSM from the winter DSM of the corresponding date . The summer DSM used is a product of image matching of ADS 80 data from summer 2013. In the available products buildings, vegetation and outliers were masked (set to NoData).
For the elimination of buildings the TLM layer (swisstopo) was used, because this layer might not represent exactly the
state of infrastructure at time of image acquisition, it is possible that mainly in dense settlement some buildings were not successfully masked. For the relevant area above treeline the masking of buildings showed good results. Vegetation got masked for a height above ground > 1m and was detected in a combination of summer and winter data sets. As Outliers were considered unrealistic snow depths caused by a failure of the image matching algorithm. Snow depths > 15m and smaller than < -15m were classified as outliers. Negative snow depth were kept, because of an uncertainty in image orientation accuracy. It is expected that in regions with negative snow depth also positive snow depth are underestimated by the same amount, which means that an estimation of snow volume should be carried out summing up the absolute values of snow depth (also the negative ones). For volume estimation in small regions the user has to take into account, that orientation accuracy of the images is roughly around 1-2 GSD (30cm), which propagates directly to the snow depth product. Areas which are not covered by snow got assigned a value of 0 as snow depth.

The work is published in:

Bühler, Y.; Marty, M.; Egli, L.; Veitinger, J.; Jonas, T.; Thee, P.; Ginzler, C., (2015). Snow depth mapping in high-alpine catchments using digital photogrammetry. Cryosphere, 9 (1), 229-243. doi: 10.5194/tc-9-229-2015

aerial-imagery

display_name: aerial-imagery

avalanche

display_name: avalanche

dsm

display_name: dsm

image-matching

display_name: image-matching

snow-depth

display_name: snow-depth

snow-hydrology

display_name: snow-hydrology

snow-water-equivalent

display_name: snow-water-equivalent

education

en: Education and science

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: review bioenergy switzerland biogas manure

en: Production de biogaz à partir d’engrais de ferme en Suisse

en: L'objectif de ce livre blanc est de fournir aux décideurs, aux administrations et aux parties prenantes les résultats de recherche les plus récents afin de promouvoir l'utilisation optimale de la bioénergie issue des engrais de ferme dans la transition énergétique suisse. A cette fin, les résultats du centre de compétence suisse pour la recherche en bioénergie - SCCER BIOSWEET - sont résumés et présentés dans un contexte plus large. Si rien d'autre n'est mentionné, les résultats se réfèrent à la Suisse et, dans le cas de la matière première, aux potentiels nationaux de biomasse.

bioenergy

display_name: bioenergy

biogas

display_name: biogas

manure

display_name: manure

review

display_name: review

switzerland

display_name: switzerland


en: snow compression-experiments microstructure snow-mechanics x-ray-tomography

en: README

media_type: TXT

en: README file explaining the organization of the data

en: Snowmicroquakes Data

en: Compression experiments, X-ray images and simulation data with supplemented README file

en:
When snow is compressed with a certain speed, micro-snowquakes are triggered in the porous structure of bonded crystals. The present dataset covers uniaxial compression experiments of snow at different strain rates and concurrent X-ray tomography imaging documenting this feature.

The experiments were conducted in a micro-compression stage operated in the X-ray tomography scanner in the SLF cold laboratory. The dataset comprises the compression force data of 17 compression experiments, the 3D image data from 4 X-ray tomography scans and the results of numerical simulations.

compression-experiments

display_name: compression-experiments

microstructure

display_name: microstructure

snow

display_name: snow

snow-mechanics

display_name: snow-mechanics

x-ray-tomography

display_name: x-ray-tomography

en: Compressive stick slip and snow-micro-quakes