rm: Resultats finals da la votaziun federala "Bundesgesetz vom 25. September 2020 über die Verminderung von Treibhausgasemissionen (CO2-Gesetz)", 13 da zercladur 2021, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Bundesgesetz vom 25. September 2020 über die Verminderung von Treibhausgasemissionen (CO2-Gesetz)", 13 juin 2021, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Bundesgesetz vom 25. September 2020 über die Verminderung von Treibhausgasemissionen (CO2-Gesetz)", 13. Juni 2021, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Bundesgesetz vom 25. September 2020 über die Verminderung von Treibhausgasemissionen (CO2-Gesetz)", 13 giugno 2021, Kanton Zug, suddivisi per municipalit.

politics

fr: Politique

staatskanzlei-zug

de: Staatskanzlei Zug


fr: election municipal

de: wahl kommunal

it: elezione comunale

label: Formatbeschreibung

label: Descrizione del formato

label: Description du format

label: Descripziun dal format

state: active

type: dataset

media_type: text/csv

format: CSV

mimetype: text/csv

identifier: csv

media_type: application/json

format: JSON

mimetype: application/json

identifier: json

rm: Resultats finals da l'elecziun federala "Kantonsratswahl 2022 Gde Cham", 2 d’october 2022, Kanton Zug, resultats da tut las candidatas e da tut ils candidats tenor vischnancas.

fr: Résultats finaux de l'élection fédérale "Kantonsratswahl 2022 Gde Cham", 2 octobre 2022, Kanton Zug, répartis par municipalités et par candidats.

de: Schlussresultate der eidgenössischen Wahl "Kantonsratswahl 2022 Gde Cham", 2. Oktober 2022, Kanton Zug, aufgeschlüsselt nach Kandidaten und Gemeinden.

it: Risultati finali della elezione federale "Kantonsratswahl 2022 Gde Cham", 2 ottobre 2022, 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

de: Politik

en: Politics

it: Politica

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 2022 Gde Cham

fr: Kantonsratswahl 2022 Gde Cham

de: Kantonsratswahl 2022 Gde Cham

it: Kantonsratswahl 2022 Gde Cham


maintainer: Staatskanzlei Zug

fr: municipal election

de: kommunal wahl

it: comunale elezione

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

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

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

rm: Kantonsratswahl 2018 Gde Unterägeri

fr: Kantonsratswahl 2018 Gde Unterägeri

de: Kantonsratswahl 2018 Gde Unterägeri

it: Kantonsratswahl 2018 Gde Unterägeri


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

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

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

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

rm: Kantonsratswahl 2018 Gde Cham

fr: Kantonsratswahl 2018 Gde Cham

de: Kantonsratswahl 2018 Gde Cham

it: Kantonsratswahl 2018 Gde Cham


fr: cantonal votation

de: abstimmung kantonal

it: votazione cantonale

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

fr: Résultats finaux du vote cantonal "Verfassungsänderung zur «Unvereinbarkeit bei Verwandten und Verschwägerten»", 22 septembre 2013, Kanton Zug, répartis par municipalités.

de: Schlussresultate der kantonalen Abstimmung "Verfassungsänderung zur «Unvereinbarkeit bei Verwandten und Verschwägerten»", 22. September 2013, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione cantonale "Verfassungsänderung zur «Unvereinbarkeit bei Verwandten und Verschwägerten»", 22 settembre 2013, Kanton Zug, suddivisi per municipalit.

abstimmung

display_name: abstimmung

cantonal

display_name: cantonal

cantonale

display_name: cantonale

kantonal

display_name: kantonal

plaun-chantunal

display_name: plaun-chantunal

votation

display_name: votation

votazione

display_name: votazione

votaziun

display_name: votaziun


fr: votation cantonal

it: cantonale votazione

rm: Resultats finals da la votaziun chantunala "Kantonsratsbeschluss betreffend Beitritt zur Vereinbarung über die Interkantonale Zusammenarbeit im Bereich überregionaler Kultureinrichtungen vom 27. März 2008", 30 da november 2008, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote cantonal "Kantonsratsbeschluss betreffend Beitritt zur Vereinbarung über die Interkantonale Zusammenarbeit im Bereich überregionaler Kultureinrichtungen vom 27. März 2008", 30 novembre 2008, Kanton Zug, répartis par municipalités.

de: Schlussresultate der kantonalen Abstimmung "Kantonsratsbeschluss betreffend Beitritt zur Vereinbarung über die Interkantonale Zusammenarbeit im Bereich überregionaler Kultureinrichtungen vom 27. März 2008", 30. November 2008, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione cantonale "Kantonsratsbeschluss betreffend Beitritt zur Vereinbarung über die Interkantonale Zusammenarbeit im Bereich überregionaler Kultureinrichtungen vom 27. März 2008", 30 novembre 2008, Kanton Zug, suddivisi per municipalit.


fr: federal votation

de: national abstimmung

it: nazionale votazione

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.

federal

display_name: federal

national

display_name: national

nazionale

display_name: nazionale

plaun-naziunal

display_name: plaun-naziunal

rm: Unternehmenssteuerreformgesetz III

fr: Unternehmenssteuerreformgesetz III

de: Unternehmenssteuerreformgesetz III

it: Unternehmenssteuerreformgesetz III


fr: votation federal

de: abstimmung national

it: votazione nazionale

rm: Resultats finals da la votaziun federala "Energiegesetz (EnG)", 21 da matg 2017, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Energiegesetz (EnG)", 21 mai 2017, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Energiegesetz (EnG)", 21. Mai 2017, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Energiegesetz (EnG)", 21 maggio 2017, Kanton Zug, suddivisi per municipalit.

staatskanzlei-zug

de: Staatskanzlei Zug

rm: Energiegesetz (EnG)

fr: Energiegesetz (EnG)

de: Energiegesetz (EnG)

it: Energiegesetz (EnG)


rm: Resultats finals da la votaziun federala "Volksinitiative vom 07. Juli 2011 «Volkswahl des Bundesrates»", 9 da zercladur 2013, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Volksinitiative vom 07. Juli 2011 «Volkswahl des Bundesrates»", 9 juin 2013, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Volksinitiative vom 07. Juli 2011 «Volkswahl des Bundesrates»", 9. Juni 2013, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Volksinitiative vom 07. Juli 2011 «Volkswahl des Bundesrates»", 9 giugno 2013, Kanton Zug, suddivisi per municipalit.

politics

fr: Politique

de: Politik

it: Politica

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


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.


de: kantonal abstimmung

rm: Resultats finals da la votaziun chantunala "Gesetzesinitiative «Ja zur Mundart» und Gegenvorschlag", 25 da settember 2016, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote cantonal "Gesetzesinitiative «Ja zur Mundart» und Gegenvorschlag", 25 septembre 2016, Kanton Zug, répartis par municipalités.

de: Schlussresultate der kantonalen Abstimmung "Gesetzesinitiative «Ja zur Mundart» und Gegenvorschlag", 25. September 2016, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione cantonale "Gesetzesinitiative «Ja zur Mundart» und Gegenvorschlag", 25 settembre 2016, Kanton Zug, suddivisi per municipalit.


fr: municipal election

de: wahl kommunal

it: comunale elezione

identifier: parties-csv

identifier: parties-json

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

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

it: Risultati finali della elezione federale "Kantonsratswahl 2014 Gemeinde Oberägeri", 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

rm: Kantonsratswahl 2014 Gemeinde Oberägeri

fr: Kantonsratswahl 2014 Gemeinde Oberägeri

de: Kantonsratswahl 2014 Gemeinde Oberägeri

it: Kantonsratswahl 2014 Gemeinde Oberägeri


fr: election cantonal

de: kantonal wahl

it: cantonale elezione

rm: Resultats finals da l'elecziun chantunala "Ergänzungswahl 2 Ersatzmitglieder des Verwaltungsgerichts vom 15. Mai 2022", 15 da matg 2022, Kanton Zug, resultats da tut las candidatas e da tut ils candidats tenor vischnancas.

fr: Résultats finaux de l'élection cantonale "Ergänzungswahl 2 Ersatzmitglieder des Verwaltungsgerichts vom 15. Mai 2022", 15 mai 2022, Kanton Zug, répartis par municipalités et par candidats.

de: Schlussresultate der kantonalen Wahl "Ergänzungswahl 2 Ersatzmitglieder des Verwaltungsgerichts vom 15. Mai 2022", 15. Mai 2022, Kanton Zug, aufgeschlüsselt nach Kandidaten und Gemeinden.

it: Risultati finali della elezione cantonale "Ergänzungswahl 2 Ersatzmitglieder des Verwaltungsgerichts vom 15. Mai 2022", 15 maggio 2022, Kanton Zug, suddivisi per municipalit e candidati.

wahl

display_name: wahl


verlangerung-der-fristen

title_for_slug: verlangerung-der-fristen

fr: votation cantonal

de: abstimmung kantonal

it: cantonale votazione

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

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

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

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

abstimmung

display_name: abstimmung

rm: Verlängerung der Fristen

fr: Verlängerung der Fristen

de: Verlängerung der Fristen

it: Verlängerung der Fristen


fr: federal votation

de: national abstimmung

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

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

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

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


fr: cantonal votation

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

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

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

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

cantonal

display_name: cantonal

staatskanzlei-zug

de: Staatskanzlei Zug


fr: cantonal election

it: elezione cantonale

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

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

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

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

cantonale

display_name: cantonale

politics

de: Politik

rm: Kantonsratswahl 2018

fr: Kantonsratswahl 2018

de: Kantonsratswahl 2018

it: Kantonsratswahl 2018


fr: votation federal

it: votazione nazionale

rm: Resultats finals da la votaziun federala "Bundesgesetz vom 25. September 2020 über die gesetzlichen Grundlagen für Verordnungen des Bundesrates zur Bewältigung der Covid-19-Epidemie (Covid-19-Gesetz)", 13 da zercladur 2021, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Bundesgesetz vom 25. September 2020 über die gesetzlichen Grundlagen für Verordnungen des Bundesrates zur Bewältigung der Covid-19-Epidemie (Covid-19-Gesetz)", 13 juin 2021, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Bundesgesetz vom 25. September 2020 über die gesetzlichen Grundlagen für Verordnungen des Bundesrates zur Bewältigung der Covid-19-Epidemie (Covid-19-Gesetz)", 13. Juni 2021, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Bundesgesetz vom 25. September 2020 über die gesetzlichen Grundlagen für Verordnungen des Bundesrates zur Bewältigung der Covid-19-Epidemie (Covid-19-Gesetz)", 13 giugno 2021, Kanton Zug, suddivisi per municipalit.

fr: Politique

staatskanzlei-zug

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


it: votazione cantonale

rm: Resultats finals da la votaziun chantunala "«Stadttunnel mit ZentrumPlus» (Behördenreferendum)", 14 da zercladur 2015, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote cantonal "«Stadttunnel mit ZentrumPlus» (Behördenreferendum)", 14 juin 2015, Kanton Zug, répartis par municipalités.

de: Schlussresultate der kantonalen Abstimmung "«Stadttunnel mit ZentrumPlus» (Behördenreferendum)", 14. Juni 2015, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione cantonale "«Stadttunnel mit ZentrumPlus» (Behördenreferendum)", 14 giugno 2015, Kanton Zug, suddivisi per municipalit.

kantonal

display_name: kantonal

politics

it: Politica


fr: election municipal

de: wahl kommunal

it: elezione comunale

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

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

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

kommunal

display_name: kommunal

municipal

display_name: municipal

plaun-communal

display_name: plaun-communal

rm: Kantonsratswahl 2018 Gde Risch

fr: Kantonsratswahl 2018 Gde Risch

de: Kantonsratswahl 2018 Gde Risch

it: Kantonsratswahl 2018 Gde Risch


oereb-kataster-datensammelstellen

geography

fr: Géographie

de: Geographie

en: Geography

it: Geografia

territory

fr: Territoire et environnement

de: Raum und Umwelt

en: Territory and environment

it: Territorio e ambiente

title_for_slug: oereb-kataster-datensammelstellen

fr: geodonnees administration

en: geodata administration

it: geodati amministrazione

label: Geobasisdatenkatalog

label: Open Government Data

label: ThurGIS Viewer

label: geocat.ch permalink

spatial: Kanton Thurgau (TG)

de: WMS

format: WMS

de: WFS

format: WFS

de: Permalink opendata.swiss

format: SERVICE

de: Die Gemeinden betreiben für die Daten des ÖREB-Katasters in ihrem Zuständigkeitsbereich eigene Datensammelstellen oder beauftragen Private mit dem Betrieb einer Datensammelstelle. Die Datensammelstellen, welche von den Gemeinden oder von beauftragten Privaten betrieben werden, prüfen die Daten gemäss den kantonalen Vorgaben und übermitteln die Daten an das Amt für Geoinformation.

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 - Geocat Harvester

de: OEREB-Kataster Datensammelstellen


fr: municipal election

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

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

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

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

politics

de: Politik

staatskanzlei-zug

de: Staatskanzlei Zug

rm: Kantonsratswahl 2014 Gemeinde Menzingen

fr: Kantonsratswahl 2014 Gemeinde Menzingen

de: Kantonsratswahl 2014 Gemeinde Menzingen

it: Kantonsratswahl 2014 Gemeinde Menzingen


it: comunale elezione

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

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

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

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


de: json

de: Wohnbevölkerung nach Postleitzahl seit 1979 (json)

license: CC BY

de: csv

de: Wohnbevölkerung nach Postleitzahl seit 1979 (csv)

de: Dieser Datensatz zeigt die Wohnbevölkerung des Kantons Basel-Stadt am Jahresende auf Ebene der Postleitzahlen-Gebiete ab dem Jahr 1979. Diese Gebiete orientieren sich nicht an den statistischen Raumeinheiten (Wohnviertel, Bezirk, Block,…), sondern wurden von der Schweizerischen Post vergeben.

bevolkerungsbestand

display_name: bevolkerungsbestand

population

fr: Population

de: Bevölkerung

en: Population

it: Popolazione

kanton-basel-stadt

fr: Canton de Bâle-Ville

de: Kanton Basel-Stadt

en: Canton of Basel-City

it: Cantone di Basilea-Città

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

value: BS Kanton Stadt - DCAT Harvester


maintainer: OGD-Koordinationsstelle Kanton Thurgau

de: Lotteriefonds Kanton Thurgau: Zugesprochene Beiträge (json)

license: CC BY 4.0

de: Lotteriefonds Kanton Thurgau: Zugesprochene Beiträge (csv)

de: Der Datensatz enthält die zugesprochenen Projektbeiträge aus dem Lotteriefonds des Kantons Thurgau. Zuständig für die Bearbeitung der Gesuche an den Lotteriefonds ist das Kulturamt Kanton Thurgau. Unterstützt werden kulturelle, wissenschaftliche und gemeinnützige Projekte, die einen Bezug haben zum Kanton und von überregionaler Bedeutung sind.Die gesetzlichen Grundlagen und die formalen, inhaltlichen und kulturpolitischen Kriterien für die Beurteilung von Projekten sind online unter www.kulturamt.tg.ch einzusehen.

culture

fr: Culture, médias, société de l'information, sport

de: Kultur, Medien, Informationsgesellschaft, Sport

en: Culture, media, information society, sport

it: Cultura, media, società dell'informazione, sport

kanton-thurgau

de: Kanton Thurgau

value: TG-Kt DCAT Harvester


larmschutzwall

maintainer: Ansprechstelle für Daten

title_for_slug: larmschutzwall

en: Lärmschutzwall (csv)

de: geojson

en: Lärmschutzwall (geojson)

de: shp

media_type: application/zip

en: Lärmschutzwall (shp)

format: ZIP

mimetype: application/zip

en: Lärmschutzwall (json)

en: Lärmschutzwalle sind Erdbauwerke, die den Lärm abhalten.

schweizerische-bundesbahnen-sbb

fr: Chemins de fer fédéraux suisses CFF

de: Schweizerische Bundesbahnen SBB

en: Swiss Federal Railways SBB

it: Ferrovie federali svizzere FFS

fr:
Les CFF sont l’un des piliers d’une mobilité durable en Suisse. Chaque jour, les CFF acheminent 1,18 million de voyageurs et 210 000 tonnes de marchandises, de manière ponctuelle et respectueuse de l’environnement.

Le chemin de fer crée des liens à travers toute la Suisse, par-delà les frontières linguistiques, culturelles et politiques. Du point de vue économique et social, il contribue ainsi à la qualité de vie et à la compétitivité de notre pays. Mais les CFF ne sont pas qu’une entreprise de chemin de fer moderne et performante. En leur qualité d’employeur, de commanditaire, de propriétaire et de gérant d’immeubles, ils sont responsables de la Suisse, de ses régions et de l’environnement.

de:
Die SBB ist das Rückgrat einer nachhaltigen Mobilität in der Schweiz. Täglich sind 1,18 Millionen Reisende und 210'000 Tonnen Güter mit der SBB sicher, pünktlich und umweltfreundlich unterwegs.

Die Eisenbahn verbindet die Schweiz über alle sprachlichen, kulturellen und politischen Grenzen hinweg und leistet in wirtschaftlicher und gesellschaftlicher Hinsicht einen überaus wertvollen Beitrag an die Lebensqualität und Wettbewerbsfähigkeit unseres Landes. Die SBB ist aber weit mehr als ein modernes und leistungsfähiges Bahnunternehmen. Auch als Arbeits- und Auftraggeberin sowie als Immobilienbesitzerin und ‑bewirtschafterin übernimmt sie Verantwortung für die Schweiz, ihre Regionen und die Umwelt.

en:
SBB is the backbone of sustainable mobility in Switzerland. Every day, it safely transports 1.18 million passengers and 210,000 tonnes of freight on time and in an environmentally friendly manner.

The railway transcends all linguistic, cultural and political boundaries to bring Switzerland together, and in economic and social terms, it makes a vital contribution to the quality of life and competitiveness of our country. However, SBB is much more than just a modern, efficient railway company. As an employer and contractor, a property owner and a real estate manager, SBB takes responsibility for Switzerland, its regions and the environment.

it:
Le FFS assumono la loro responsabilità.

Consigliare ad altri

Condividere

Le FFS sono la colonna portante della mobilità sostenibile in Svizzera. Ogni giorno 1,18 milioni di viaggiatori e quasi 210 000 tonnellate di merci viaggiano con le FFS in modo sicuro, puntuale e rispettoso dell'ambiente.

La ferrovia unisce la Svizzera oltre i confini linguistici, culturali e politici e dal punto di vista economico e sociale assicura un contributo oltremodo prezioso alla qualità di vita e alla competitività del nostro Paese. Le FFS tuttavia sono ben più di un'impresa ferroviaria moderna e altamente performante. Esse assumono la loro responsalibità per la Svizzera, le sue regioni e l'ambiente anche come datore di lavoro, di committenti, così come di proprietarie e amministratrici di fondi e di immobili.

political_level: other

value: SBB - DCAT Harvester

en: Lärmschutzwall


maintainer: Tamara Bobst

de: Altersprognose nach Versorgungsregion, Geschlecht, Alter und Jahr (2020 mit Basis 2018) (csv)

license: CC BY 3.0 CH

de: json

de: Altersprognose nach Versorgungsregion, Geschlecht, Alter und Jahr (2020 mit Basis 2018) (json)

de: Kantonale Bevölkerungsstatistik, Altersprognose BL 2020

alter

display_name: alter

altersstruktur

display_name: altersstruktur

bevolkerungsprognose

display_name: bevolkerungsprognose

kanton-basel-landschaft

fr: Canton de Bâle-Campagne

de: Kanton Basel-Landschaft

en: Canton of Basel-Country

it: Cantone di Basilea-Campagna

en:
The Canton of Basel-Country publishes open datasets of cantonal offices and agencies.
Further information at https://ogd.bl.ch/

de:
Der Kanton Basel-Landschaft veröffentlicht nach und nach Open Government Datensätze von kantonalen Ämtern und Dienststellen.
Weitere Informationen unter https://ogd.bl.ch/

value: BL - DCAT


fr: votation federal

de: abstimmung national

it: votazione nazionale

rm: Resultats finals da la votaziun federala "Änderung vom 28. September 2012 des Asylgesetzes (AsylG) (Dringliche Änderungen des Asylgesetzes)", 9 da zercladur 2013, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Änderung vom 28. September 2012 des Asylgesetzes (AsylG) (Dringliche Änderungen des Asylgesetzes)", 9 juin 2013, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Änderung vom 28. September 2012 des Asylgesetzes (AsylG) (Dringliche Änderungen des Asylgesetzes)", 9. Juni 2013, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Änderung vom 28. September 2012 des Asylgesetzes (AsylG) (Dringliche Änderungen des Asylgesetzes)", 9 giugno 2013, Kanton Zug, suddivisi per municipalit.

federal

display_name: federal

national

display_name: national

nazionale

display_name: nazionale

plaun-naziunal

display_name: plaun-naziunal

votation

display_name: votation

votazione

display_name: votazione

votaziun

display_name: votaziun

politics

fr: Politique

de: Politik

en: Politics

it: Politica

staatskanzlei-zug

de: Staatskanzlei Zug

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


maintainer: Staatsarchiv des Kantons Zürich

de: Erlasse der Zürcher Gesetzessammlung ab 1803

de: Sämtliche Erlasse der Zürcher Gesetzessammlung von 1803 bis 1998. Umgesetzt als XML Dateien nach Vorgaben der TEI. Die Daten stehen unter einer Creative Commons CC-BY-SA 4.0 Lizenz zur Verfügung.

regierungsrat

display_name: regierungsrat

agriculture

fr: Agriculture, sylviculture

de: Land- und Forstwirtschaft

en: Agriculture, forestry

it: Agricoltura, selvicoltura

construction

fr: Construction, logement

de: Bau- und Wohnungswesen

en: Construction and housing

it: Costruzione e abitazione

crime

fr: Criminalité, droit pénal

de: Kriminalität, Strafrecht

en: Crime, criminal justice

it: Criminalità, diritto penale

culture

de: Kultur, Medien, Informationsgesellschaft, Sport

national-economy

fr: Economie nationale

de: Volkswirtschaft

en: National economy

it: Economia

education

fr: Education, science

de: Bildung, Wissenschaft

en: Education and science

it: Formazione e scienza

energy

fr: Energie

de: Energie

en: Energy

it: Energia

industry

fr: Industrie, services

de: Industrie, Dienstleistungen

en: Industry and services

it: Industria, servizi

mobility

fr: Mobilité et transports

de: Mobilität und Verkehr

en: Mobility and Transport

it: Mobilità e trasporti

social-security

fr: Protection sociale

de: Soziale Sicherheit

en: Social security

it: Sicurezza sociale

staatsarchiv-kanton-zuerich

de: Staatsarchiv Kanton Zürich

de: Das Staatsarchiv ist das Archiv des Kantons Zürich und seiner Rechtsvorgänger. Es bewertet, übernimmt, erschliesst und konserviert Unterlagen aus über tausend Jahren Zürcher Geschichte. Durch die Aufbewahrung dieser Unterlagen macht es staatliches Handeln nachvollziehbar und ermöglicht historische Forschung. Das Staatsarchiv gewährt allen Interessierten Einsicht in diejenigen Bestände, die keinen Beschränkungen mehr unterliegen. Der grösste Teil der Findmittel zu den Archivbeständen kann online abgefragt werden.

value: ZH-Kt Staatsarchiv - DCAT Harvester


maintainer: Verband der Schweizerischen Gasindustrie VSG

title_for_slug: energiedashboard.ch: Monatliche Gas Nettoimporte VSG

de: importe energie ogd111-bfe erdgas

fr: energiedashboard.ch : Importations mensuelles nettes de gaz ASIG

en: energiedashboard.ch: Monthly gas net imports VSG

it: energiedashboard.ch: Importazioni nette mensili di gas ASIG

fr: Importations mensuelles nettes provisoires de gaz. Par importations nettes, on entend la différence entre le total des flux de gaz vers la Suisse et les flux de gaz de la Suisse vers les pays voisins. Les données tiennent compte des flux de gaz de Swissgas et de cinq sociétés régionales. Certains flux de gaz secondaires ne sont pas disponibles mensuellement, mais seulement présentés annuellement. En 2021, ils représentaient environ 5 pour cent du volume total. Les données se réfèrent au pouvoir calorifique supérieur Hs (anciennement Pouvoir calorifique supérieur Ho).

en: Monthly provisional net imports of gas. Net imports are understood as the difference between total gas flows into Switzerland and gas flows from Switzerland to neighbouring countries. The data take into account the gas flows of Swissgas and five regional companies. Certain subordinate gas flows are not available on a monthly basis, but are only reported annually. These accounted for around 5 percent of the total volume in 2021. The data refer to the calorific value Hs (formerly upper calorific value Ho).

de: Monatliche provisorische Nettoimporte von Gas. Als Nettoimport versteht man den Unterschied zwischen den gesamten Gasflüssen in die Schweiz und den Gasflüssen aus der Schweiz in die Nachbarländer. Die Daten berücksichtigen die Gasflüsse von Swissgas und fünf Regionalgesellschaften. Gewisse untergeordnete Gasflüsse stehen nicht monatlich zur Verfügung, sondern werden nur jährlich ausgewiesen. Diese machten 2021 rund 5 Prozent des Gesamtvolumens aus. Die Daten beziehen sich auf den Brennwert Hs (ehemals Oberer Heizwert Ho).

it: Importazioni nette provvisorie mensili di gas. Le importazioni nette sono intese come la differenza tra i flussi totali di gas in Svizzera e i flussi di gas dalla Svizzera verso i Paesi limitrofi. I dati tengono conto dei flussi di gas di Swissgas e di cinque compagnie regionali. Alcuni flussi di gas subordinati non sono disponibili su base mensile, ma sono riportati solo annualmente. Questi rappresentano circa il 5% del volume totale nel 2021. I dati si riferiscono al potere calorifico Hs (ex potere calorifico superiore Ho).

energie

display_name: energie

erdgas

display_name: erdgas

importe

display_name: importe

trade

fr: Commerce

de: Handel

en: Trade

it: Commercio

bundesamt-fur-energie-bfe

fr: Office fédéral de l'énergie OFEN

de: Bundesamt für Energie BFE

en: Swiss Federal Office of Energy SFOE

it: Ufficio federale dell'energia UFE

fr: L'Office fédéral de l'énergie (OFEN) est le centre de compétences du Département fédéral de l'environnement, des transports, de l'énergie et de la communication (DETEC) pour les questions liées à l'approvisionnement en énergie et à son utilisation.

de: Das Bundesamt für Energie (BFE) ist das Kompetenzzentrum für Fragen der Energieversorgung und der Energienutzung im Eidgenössischen Departement für Umwelt, Verkehr, Energie und Kommunikation (UVEK).

en: The Swiss Federal Office of Energy (SFOE) is the country's competence centre for issues relating to energy supply and energy use at the Federal Department of the Environment, Transport, Energy and Communications (DETEC).

it: L'Ufficio federale dell'energia (UFE) è il centro di competenza in materia di approvvigionamento e di impiego dell'energia in seno al Dipartimento federale dell'ambiente, dei trasporti, dell'energia e delle comunicazioni (DATEC).

political_level: confederation


maintainer: EnviDat Support

en: climate-change-impact water-temperature discharge hydrology model

en: Data access

media_type: .zip

en:
This work presents the first extensive study of climate change impacts on rivers temperature in Switzerland. Results show that even for low emissions scenarios, water temperature increase will lead to adverse effect for both ecosystems and socioeconomic sectors (such as nuclear plant cooling) throughout the 21st century. For high emissions scenarios, the effect will be worsen. This study also shows that water warming in summer will be more important in Alpine regions than in lowlands.
This material is distributed under CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/legalcode).

climate-change-impact

display_name: climate-change-impact

discharge

display_name: discharge

hydrology

display_name: hydrology

model

display_name: model

water-temperature

display_name: water-temperature

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: Dataset for: Future water temperature of rivers in Switzerland under climate change investigated with physics-based models


data-set-on-snow-instability

title_for_slug: data-set-on-snow-instability

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

en: Read-me file on snow instability data

media_type: application/pdf

format: PDF

mimetype: application/pdf

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

en: Data set on snow instability


maintainer: Jana von Freyberg

en: precipitation catchment alptal hydrology stable-water-isotope stream-water

en: Data Set Documentation: alptal_Isotopes_daily_2015-2019_v2

media_type: .pdf

en: Documentations contains meta data of the data columns and information about the study catchments.

media_type: .txt

en:
Version 2 of the dataset contains additional information on:
- line-conditioned (lc) excess
- precipitation sample volumes
- isotope data quality

media_type: PDF

media_type: TXT

en: Single comma-separated txt-file with daily data of stable water isotopes measured in streamwater and precipitation in the Swiss Alptal catchment and two of its tributaries (Erlenbach and Vogelbach), as well as daily data of key hydrometeorological variables from the Alptal valley

format: TXT

en: This dataset contains four years of daily measurements of the natural isotopic composition (2H, 18O) of precipitation and stream water at the Alp catchment (area 47 km2) in Central Switzerland and two of its tributaries (0.73 km2 and 1.55 km2). In addition, the dataset contains daily measurements of key hydrometeorological variables.

alptal

display_name: alptal

catchment

display_name: catchment

precipitation

display_name: precipitation

stable-water-isotope

display_name: stable-water-isotope

stream-water

display_name: stream-water

education

en: Education and science

en: Four years of daily stable water isotope data in stream water and precipitation from three Swiss catchments


greenland-shrubs-and-microclimate

maintainer: Nathalie Chardon

title_for_slug: greenland-shrubs-and-microclimate

en: arctic field-data validation accessible-shrub-forest climate sdm

en: Kangerluarsunnguaq

media_type: .csv

en:
 Collected August 2020 (PI: Nathalie Isabelle Chardon)

These data collected August 2020 (PI: Nathalie Isabelle Chardon). Please contact N. I. Chardon (nathalie.chardon_at_gmail.com) for individual quadrat (i.e. 1 m x 1 m) data, which are averaged at the 90 m spatial grid here.

 COLUMN ABBREVIATIONS

 Metadata for 90 m spatial grid

id: sampling zone and unique 90 m grid identifier

long: WGS84 longitude

lat: WGS84 latitude

x_stere: longitude in Polar Stereographic (EPSG 4326)

y_stere: latitude in Polar Stereographic (EPSG 4326)

date: sampling day.month.year

 Species presence [1] or absence [0] at grid level

alcr: _Alnus crispa_

bena: _Betula nana_

dila: _Diapensia lapponica_

emni: _Empetrum nigrum_

hahy: _Harimanella hypoides_

lopr: _Loiseleuria procumbens_

oxpa: _Oxycoccus palustre_

phca: _Phyllodoce caerulea_

rhod: _Rhododendron_ sp.

saar: _Salix arctica_

sagl: _Salix glauca_

sahe: _Salix herbacea_

vaul: _Vaccinium uliginosum_

drin: _Dryas integrifolia_

thpr: _Thymus praecox_

 Habitat characteristics [% cover]

shrub: all shrub species

gram: graminoids

forb: forbs

bryo: bryophytes

lich: lichens

litt: litter

bare: bare ground

stone: stones (> 2 cm)

org: organic crust

 Shrub species height (maximum vegetative height) [mm] and cover (estimated in 1x1 m quadrat) [%]

alcr_c: _Alnus crispa_ cover

alcr_h: _Alnus crispa_ height

bena_c: _Betula nana_ cover

bena_h: _Betula nana_ height

dila_c: _Diapensia lapponica_ cover

dila_h: _Diapensia lapponica_ height

emni_c: _Empetrum nigrum_ cover

emni_h: _Empetrum nigrum_ height

hahy_c: _Harimanella hypoides_ cover

hahy_h: _Harimanella hypoides_ height

lopr_c: _Loiseleuria procumbens_ cover

lopr_h: _Loiseleuria procumbens_ height

oxpa_c: _Oxycoccus palustre_ cover

oxpa_h: _Oxycoccus palustre_ height

phca_c: _Phyllodoce caerulea_ cover

phca_height: _Phyllodoce caerulea_ height

rhod_c: _Rhododendron_ sp. cover

rhod_h: _Rhododendron_ sp. height

saar_c: _Salix arctica_ cover

saar_h: _Salix arctica_ height

sagl_c: _Salix glauca_ cover

sagl_h: _Salix glauca_ height

sahe_c: _Salix herbacea_ cover

sahe_h: _Salix herbacea_ height

vaul_c: _Vaccinium uliginosum_ cover

vaul_h: _Vaccinium uliginosum_ height

drin_c: _Dryas integrifolia_ cover

drin_h: _Dryas integrifolia_ height

 Community characteristics

rich_pa: shrub species richness at grid level

rich: shrub species richness averaged across 3 1x1 m sampling quadrats per grid

shan: Shannon diversity (‘vegan’ package; Oksanen et al. 2019)

comp_bena: shrub competition on _Betula nana_ (i.e. summed cover of non-_B. nana_ species) [% cover]

comp_sagl: shrub competition on _Salix glauca_ (i.e. summed cover of non-_S. glauca_ species) [% cover]

ht_cwm: maximum shrub canopy height (i.e. community weighted mean by abundance of maximum shrub height) [mm]

 Topography and terrain wetness (calculated from)

tcws: Tasseled Cap Wetness component (Sentinal images)

slope: slope angle (MEaSUREs Greenland Ice Mapping Project Digital Elevation Model v. 1; Howat et al., 2014, 2015) [º]

twi: SAGA wetness index (MEaSUREs Greenland Ice Mapping Project Digital Elevation Model v. 1; Howat et al., 2014, 2015)

asp: aspect (MEaSUREs Greenland Ice Mapping Project Digital Elevation Model v. 1; Howat et al., 2014, 2015) [º]

 Downscaled climate (time series 1984 – 2013)

insoljja: average June-August insolation [MJ cm-2 yr-1]

precipmam: cumulative March-May precipitation [mm]

tempcont: yearly maximum – minimum temperature [ºC]

tempmin: yearly minimum temperature [ºC]

precipjja: cumulative June-August precipitation [mm]

tempjja: average maximum June-August temperature [ºC]

tempmax: yearly maximum temperature [ºC]

en: GitLab Repository

en: Zip drive of GitLab repository contents (https://gitlab.com/nathaliechardon/gl_microclim).

en: Nuup Kangerlua

en:
 Collected July-August 2011-2013 (PI: Jacob Nabe-Nielsen)

These data collected July-August 2011-2013 (PI: Jacob Nabe-Nielsen). Please contact J. Nabe-Nielsen (jnn_at_ecos.au.dk) to request access to data on all surveyed shrub species. Available here are only data used in Chardon et al. 2022.

 COLUMN ABBREVIATIONS

 Metadata for 90 m spatial grid

year: sampling year

alt: average altitude of grid as recorded during field surveys [m]

long: WGS84 longitude

lat: WGS84 latitude

x_stere: longitude in Polar Stereographic (EPSG 4326)

y_stere: latitude in Polar Stereographic (EPSG 4326)

 Species presence [1] or absence [0] at grid level

pa_bena: _Betula nana_

pa_sagl: _Salix glauca_

 Shrub species cover (calculated from pin hits in 0.7 x 0.7 m frame, based on total of 25 hits) [%]

cov_bena: _Betula nana_ cover

cov_sagl: _Salix glauca_ cover

 Downscaled climate (time series 1984 – 2013)

tempjja: average maximum June-August temperature [ºC]

tempmax: yearly maximum temperature [ºC]

tempmin: yearly minimum temperature [ºC]

tempcont: yearly maximum – minimum temperature [ºC]

precipmam: cumulative March-May precipitation [mm]

precipjja: cumulative June-August precipitation [mm]

insoljja: average June-August insolation [MJ cm-2 yr-1]

 Topography and terrain wetness (calculated from)

twi: SAGA wetness index (MEaSUREs Greenland Ice Mapping Project Digital Elevation Model v. 1; Howat et al., 2014, 2015)

slope: slope angle (MEaSUREs Greenland Ice Mapping Project Digital Elevation Model v. 1; Howat et al., 2014, 2015) [º]

asp: aspect (MEaSUREs Greenland Ice Mapping Project Digital Elevation Model v. 1; Howat et al., 2014, 2015) [º]

tcws: Tasseled Cap Wetness component (Sentinal images)

 Community characteristics

rich: shrub species richness averaged across pin-point frames per grid

shan: Shannon diversity (‘vegan’ package; Oksanen et al. 2019)

comp_bena: shrub competition on Betula nana (i.e. summed cover of non-_B. nana_ species) [% cover]

comp_sagl: shrub competition on Salix glauca (i.e. summed cover of non-_S. glauca_ species) [% cover]

en:
 Study Aim

We collected these data to alternatively train and validate high resolution (~ 90 m) Species Distribution Models (SDMs) and Species Abundance Models (SAMs) for _Betula nana_ L. (dwarf birch, Betulaceae) and _Salix glauca_ L. (grey willow, Salicaceae) in Southwest Greenland to assess how well such models can predict local-scale patterns.

 Data Description

Individual (presence-absence, abundance, maximum vegetative height) and community (species composition, maximum canopy height) shrub data for two fjords near Nuuk, Southwest Greenland. Also provided are corresponding downscaled climate data as well as calculated topographic and terrain wetness indicator variables.

 Nuup Kangerlua (Godthåbsfjord)

_Betula nana_ and _Salix glauca_ presence-absence, abundance, community species richness

 Kangerluarsunnguaq (Kobbefjord)

Shrub presence-absence, abundance, maximum vegetative height, community composition, maximum shrub canopy height

 Methods

 Field survey in Nuup Kangerlua

We conducted a stratified systematic plant survey along the length of Nuup Kangerlua (NK) fjord in Soutwesth Greenland (Fig. 1 in Chardon et al. 2022; following Nabe-Nielsen et al., 2017). At five distinct sites, we sampled along elevational gradients to collect data on presences, absences, abundance, and species composition of all woody species using a 0.7 x 0.7 m pin-point frame (Fig. 1e in Chardon et al. 2022). For model training, we converted these pin-point data to percent cover estimates based on the number of pins dropped (n = 25 per plot) and averaged them across the 119 spatio-climatic grids (see next section) corresponding to the plot locations (for details see Appendix S2 in Chardon et al. 2022).

 Field survey in Kangerluarsunnguaq

We conducted a random stratified plant survey in Kangerluarsunnguaq (K) fjord in Southwest Greenland. We used a preliminary Species Abundance Model trained with summed pin counts of _Betula nana_ in NK fjord (see Fig. S1.3 in Chardon et al. 2022) to stratify the ~ 27 x 17 km fjord landscape into low, medium, and high abundances classes. We randomly selected 90 x 90 m spatio-climatic grids to survey in each class for a total of 200 grids, ensuring that they were accessible by foot or boat (for details see Appendix S2 in Chardon et al. 2022). Within each grid, we sampled within three 1 m2 quadrats arranged in a randomly rotated equilateral triangle centered on the mid-point of the cell. We used a gridded sampling quadrat with 1% delineations (Fig. 1h in Chardon et al. 2022) to record woody species presences, absences, and composition, estimated percent cover, and measured maximum shrub species vegetatitve height. At every plot, we also visually scanned the area in a 20 m radius from the plot and recorded the presence of any additional shrub species to estimate grid-level species richness. As in NK fjord, we averaged these data at the grid level (for details see Appendix S2 in Chardon et al. 2022).

 Biotic variables

We calculated biotic microscale variables from the plant survey data collected in NK and K fjords. We calculated shrub species richness, diversity, and competition (i.e. sum of non-B. nana or non-S. glauca pin hits or percent cover). In K fjord, we also calculated canopy height as the community weighted mean (by abundance) of maximum vegetative shrub height.

 Climate variables

We computed high resolution temperature, precipitation, and insolation for local scale data for the study area by statistically downscaling climate time series (1982 - 2013) from the monthly CHELSA data (Karger et al. 2017). We downscaled these data from 30 arc sec (~ 400 m at the latitude of our study) to our target grid size of ~ 90 m with geographic weighted regression and using the MEaSUREs Greenland Ice Mapping Project (GIMP) Digital Elevation Model (DEM) v. 1 (Howat et al., 2014, 2015). We then calculated 30-year averages of the climate parameters: average summer (June – August) maximum temperature, yearly maximum temperature, yearly minimum temperature, temperature continentality (yearly max. - min. temperatures), cumulative Spring (March – May) precipitation, cumulative summer precipitation, and average summer incident solar radiation (henceforth, insolation) (for calculation details see Appendices S2, S3 in Chardon et al. 2022 and Appendix S2 in von Oppen et al. 2021).

 Topography and terrain wetness indicator variables

We calculated several topographic and terrain wetness indices at a local scale. We derived slope, aspect, and the SAGA wetness index (hereafter TWI; Boehner et al., 2002; Boehner and Selige, 2006) from the GIMP DEM. TWI is a measure of how ‘wet’ an area is, based on water drainage from the surrounding landscape. We also calculated the tasseled cap wetness component (hereafter TCW, Crist and Cicone 1984) from satellite images (for details see Appendices S2, S3 in Chardon et al. 2022) as an alternative measure of wetness.

 Computer code

Attached as zip file and available on GitLab (https://gitlab.com/nathaliechardon/gl_microclim)

 Third-party data

Data used to calculate climate, topography, and terrain wetness indicator variables are publicly available (see Appendix S2 in Chardon et al. 2022 for all data references).

accessible-shrub-forest

display_name: accessible-shrub-forest

arctic

display_name: arctic

climate

display_name: climate

field-data

display_name: field-data

sdm

display_name: sdm

validation

display_name: validation

en: Greenland shrubs and microclimate


en: tls lee-side-flow-field alpine3d lidar preferential-deposition

en: Dataset

media_type: ZIP

en:
The data presented here corresponds to the publication "A Close-Ridge Small-Scale Atmospheric Flow Field and its Influence on Snow Accumulation" (Gerber et al., 2017), which investigates an eddy-like structure in the vicinity of the Sattelhorn in the Dischma valley (Davos Switzerland) and its influence on snow accumulation. The dataset contains:

* Alpine3D: Alpine3D snow depth grids (25 m resolution) for two simulations with and without snow redistribution.
* ARPS: 10 ARPS simulations (25 m horizontal resolution) with different model setups (wind direction, wind speed, stability).
* LiDAR: Processed LiDAR PPI (D2_PPI_1h) and RHI (D2_cross_1h) across the valley with a hourly resolution for the period 27 October 2015 01:00 - 29 October 2015c 21:00 (spatial resolution: 25 m).
* meteostations-dischma: Meteorological station data of two meteorological stations in the Dischma valley with 10 minute resolution for the period 28 October 2015 - 30 October 2015.
* TLS: Snow depth change data (m) between 28 October 2015 and 30 October 2015 based on terrestrial laser scans.

For more details about the simulation and observation data, see Gerber et al., 2017.

Publication: Gerber et al., 2017: A Close-Ridge Small-Scale Atmospheric Flow Field and its Influence on Snow Accumulation, submitted to JGR - Atmospheres.

lee-side-flow-field

display_name: lee-side-flow-field

lidar

display_name: lidar

preferential-deposition

display_name: preferential-deposition

tls

display_name: tls

envidat

en: EnviDat: the Environmental Data Portal

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

en: DISCHMEX - Observations and simulations of the close-ridge small-scale atmospheric flow field and snow accumulation at Sattelhorn, Dischma valley, Davos, Switzerland.


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

en: Data plot of the forest station (NOB)

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

en: Field station data (NOF)

en: Data file.

en: Data plot of the field station (NOF)

en: Site photo of the field station (NOF)

media_type: image/jpeg

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

mimetype: image/jpeg

en: Site aerial photo (Novaggio)

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

en: Forest station data (NOB)

en: Site photo of the forest station (NOB)

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

en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for two meteorological stations in Novaggio in Switzerland where one station is located within a natural deciduous forest stand (NOB) with Turkey oak (_Quercus cerris_; 70 yrs), sweet chestnut (_Castanea sativa_; 90 yrs) and silver birch (_Betula pendula_; 70 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, NOF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Novaggio is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed

education

en: Education and science

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


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

en: Field station data (NEF)

en: Site aerial photo (Neunkirch)

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

en: Data plot of the field station (NEF)

en: Data plot of the forest station (NEB)

en: Site photo of the field station (NEF)

en: Forest station data (NEB)

en: Site photo of the forest station (NEB)

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

en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for two meteorological stations in Neunkirch in Switzerland where one station is located within a natural deciduous forest stand (NEB) with European beech (_Fagus sylvatica_; 160 yrs), sycamore maple (_Acer pseudoplatanus_; 160 yrs) and lime trees (_Tilia sp._; 110 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, NEF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Neunkirch is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

precipitation

display_name: precipitation

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


en: ecosystem-protection integral-water-management hydropower decision-making gis

media_type: SHP

format: SHP

en: Indicators

media_type: text/markdown

en: The indicators capture supporting ecosystem functions.

en:
 A spatial dataset and tool to simultaneously assess hydropower potential and ecological potential of the Swiss river network (Version 2016)

 Introduction
The steadily growing demand for energy and the simultaneous pursuit of decarbonisation are increasing interest in the expansion of renewable energies worldwide. In Switzerland, various funding projects have been launched to promote technologies in the field of renewable energies and their application as quickly as possible. With the introduction of a funding instrument in 2009, the number of projects submitted to produce renewable energies increased rapidly. The applications for small hydropower plants (≤ 10 MW) were correspondingly numerous. However, the assessment of the environmental impact and its comparison with hydropower importance is still not standardized.
To provide a basis for decision-making, a methodology was developed to determine the overall hydropower potential of a region. A detailed assessment of each river reach, and the systematic and holistic assessment of small hydropower projects at a regional scale are combined here. The assessment of a river reach is conducted at the river space (i.e., the river and adjacent areas) and at the surrounding landscape level. The HYDROpot_integral methodology was developed as part of Carol Hemund's dissertation (2012) at the University of Bern. It allows the evaluation of river reaches holistically, regarding ecological, social, economic and cultural criteria. As a second part of the overall project, the theoretical hydropower (or hydraulic) potential was calculated for the entire river network, which complemnets the spatial assessment. In particular, it is possible to classify river reaches into those that are more suitable for hydropower production (=”use”) and those that are more suitable for protection.

 Material and method
The HYDROpot_Integral method was developed and tested on the basis of cantonal and national data (Hirschi et al. 2013). The method relies on 73 geodata sets. This holistic assessment is the key element of the entire assessment procedure. Its aim is to quantify the importance of the ecosystem functions in terms of services. The river network (GWN07) is divided into reaches of about 450m and for each reach two study units are defined. The river space (RS) records the ecosystem functions of the water body and the nearby riparian area. The length of the RS is 315 m on average in Switzerland and a maximum of 450 m, whereas the width is based on the FOEN definition (BWG 2001: 18f) and varies between 7-107 m. The surrounding landscape (SLS) is the second survey unit that records the ecosystem functions of the surrounding area over a range of 21 m to 321 m. The SLS is calculated over three times the RS width. The length of the SLS is identical to the length of the RS. The ecosystem functions are divided into three types: regulating (service A), cultural (service B) and provisioning (service C) functions. Accordingly, the assessment of the functions is divided into three parts and three values are assigned to each river reach. The more functions there are and the greater their performance, the higher these values are and the more important the corresponding functions are. Hence, these values quantify the importance of the ecosystem functions and the ecological, cultural and economic ecosystem services of each river reach. The concatenation of ecosystem services results in a value (ABC) that can occur in 125 different versions due to the chosen five-level value scale; i.e. each digit of the three-digit number sequence can be assigned a value between 1 and 5. Each of the 125 combinations, and thus each river reach, has its own characteristics determined by the assessments of the three function types. To record the suitability, the combinations are ranked according to their ecological, cultural and economic ecosystem services. These rules mean that the combination that is most suitable for hydropower production at minimum cost in terms of ecological and cultural ecosystem services and has a high economic potential is ranked first; rank 125 indicates the highest ecological and cultural ecosystem services and the lowest economic services and is therefore most suitable for protection. A river reach that is excluded from hydropower use due to legislation, a so-called priority reach, is given rank 126 from the outset and specially marked. A more detailed description of the methods can be found in Hirschi et al. 2013 [Link]. The dataset presented here presents the latest state of the HYDROpot_integral methodology applied at the national level. Only national data that is easily accessible was used in the preparation of the dataset. The cantonal data, such as renaturation and revitalization, would have to be requested by each canton individually and was excluded here. The nationwide value synthesis was made with R.
A list of data sources can be found here [link to text file]
A list of all parameters can be downloaded here [link to PDF and text files]

 Dataset description
Data is presented as a single shapefile. It contains the river network and all assessment results obtained with HYDROpot_Integral.

 Changes in the methodology compared to the original method (Hirschi et. al 2013)

 * RS_A11 Ecomorphology: recorded for the whole of Switzerland and zero values equated with NA;
individual cantons such as Zug and St. Gallen have no mapped values according to the modular
concept of the federal government, Valais and Graubünden only the main valleys, Ticino and Fribourg not
completely (BAFU 2009).
 * RS_A14 Renaturation and revitalization data: not centrally available at the time of data collection.
centrally available, therefore values in GR were equated with NA.
 * RS_A15 Dilution ratio at wastewater treatment plants (WWTPs) for discharges: Zero values
equal to NA.
 * RS_A20 Water flow: use WASTA (2013) with hydroelectric power plants (> 300 kW) under
Federal control and dams serving hydroelectricity (Dam, as of 2013).
 * RS_C05 Synoptic hazard maps: are cantonally managed at the time of data collection,
Values in GR are marked with a 5 so that the systematics in the decision tree is not affected.
is affected.
 * Water quality (RS_A15, RS_A16, RS_A17, RS_A18, RS_A19): for the evaluation of the function type.
A Nature, it is important whether the median of the five values is less than or equal to 3 in total. This
evaluation is based on the decision tree for evaluating GR (Hirschi et al. 2013:22).
Therefore, an evaluation of the station data is made where critical and possible river segments
with poor quality (median less than 3) exist. Only two longer and one short
sections in Switzerland receive a lower median than 3 for water quality.
 * SLS_B06 Visibility: For 99 percent of the river segments (30,733 of 31,062) in the canton of
Bern (2015 reduced version), the landscape area is considered to be visible. Due to this high number
of sections, a large number of viewpoints in the layer of Swisstopo and
the computation time and computability in ArcGIS, the landscape area is classified as generally viewable
(equal to 1).
16 Method
Additional indicators were added (see Appendix B.2):
 * SLS_A21 Dissection
 * SLS_A22 Forest areas
 * SLS_B03 Hiking trails
 * SLS_B10 Residential and vacation homes
 * SLS_B11 Tourist infrastructure
 * SLS_C01 Landfill
 * SLS_C03 Infrastructure
 * SLS_C05 Industry
 * SLS_C06 Agricultural land
Not to be added, although present to some extent:
 * SLS_B06 Cultural assets of national importance: here, too, the calculability of the visibility analysis is
for the whole of Switzerland is limited
 * SLS_A15 Legally binding protection and land use planning: the individual river sections are not
clearly designated, i.e. no geodata exist
The following data are also not supplemented, as they are cantonal data:
 * SLS_A10 Cantonal nature reserves
 * SLS_A16 Forest reserves
 * SLS_A17 Cantonal inventories and contractually protected areas

decision-making

display_name: decision-making

ecosystem-protection

display_name: ecosystem-protection

gis

display_name: gis

hydropower

display_name: hydropower

integral-water-management

display_name: integral-water-management


en: mars erosion snow model sediment-transport

media_type: text/plain

en: Datasets of Figure 4a

mimetype: text/plain

en: Datasets of Figure 2

en: Datasets of Figure 3b

en: Datasets of Figure 4b

en: Datasets of Figure 3a

en:
The files contain the datasets used to produce Figures 2, 3, and 4 of the manuscript ([doi: 10.1002/2016GL071822](http://dx.doi.org/10.1002/2016GL071822)).

 Manuscript Abstract:
Despite being the main sediment entrainment mechanism in aeolian transport, granular splash is still poorly understood. We provide a deeper insight into the dynamics of sand and snow ejection with a stochastic model derived from the energy and momentum conservation laws. Our analysis highlights that the ejection regime of uniform sand is inherently different from that of heterogeneous sand. Moreover, we show that cohesive snow presents a mixed ejection regime, statistically controlled either by energy or momentum conservation depending on the impact velocity. The proposed formulation can provide a solid base for granular splash simulations in saltation models, leading to more reliable assessments of aeolian transport on Earth and Mars.

erosion

display_name: erosion

mars

display_name: mars

model

display_name: model

sediment-transport

display_name: sediment-transport

snow

display_name: snow

education

en: Education and science

en: Energy- and momentum-conserving model of splash entrainment in sand and snow saltation


en: gemstock snow-height shortwave-radiation meteo-station longwave-radiation

en: DATA ACCESS

media_type: SMET

en:
Meteo data at Gemsstock [Level 2 dataset](http://models.slf.ch/p/dataset-processing/).

fields      = timestamp TSS HS VW DW VW_MAX OSWR ISWR ILWR RECORD AUX_VOLTAGE LOGGER_VOLTAGE LW_SENSOR_TEMP VENTILATION_FLAG OLWR

en: Meteorological station at Gemstock (3021 m asl) in Canton Uri. The station includes in/out LW/SW and a snow height sensor.

gemstock

display_name: gemstock

longwave-radiation

display_name: longwave-radiation

meteo-station

display_name: meteo-station

shortwave-radiation

display_name: shortwave-radiation

snow-height

display_name: snow-height

en: GEM2: Meteorological and snow station at Gemsstock (3021 m asl), Canton Uri, Switzerland


maintainer: Elisabeth Hafner

en: satellite hazard-mapping snow avalanche natural-hazard

en: SPOT6 Avalanche Outlines 16 January 2019

en: Shapefile of the manually mapped avalanche outlines. Please only use this data together with the example key document provided with this dataset and within the limitations of the dataset described in the publications.

en:
Outlines of 6'041 avalanches mapped from SPOT6 satellite data over the Swiss Alps on 16 January 2019. The dataset was acquired following a period with very high avalanche danger. The outlines have different attributes described in the data example key (ExampleKey_AvalMapping16012019.pdf)

The generation of the data is described in:

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

The data was comprehensivly validated in a subset area in

Hafner, E.D.; Techel, F.; Leinss, S.; Bühler, Y., 2021: Mapping avalanches with satellites - evaluation of performance and completeness. Cryosphere, 15, 2: 983-1004. doi: 10.5194/tc-15-983-2021

avalanche

display_name: avalanche

hazard-mapping

display_name: hazard-mapping

natural-hazard

display_name: natural-hazard

satellite

display_name: satellite

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: SPOT6 Avalanche outlines 16 January 2019


maintainer: Matthias Haeni

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

en: Forest station data (JUB)

en: Data file.

en: Data plot of the forest station (JUB)

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

en: Data plot of the field station (JUF)

en: Site aerial photo (Jussy)

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

en: Site photo of the forest station (JUB)

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

en: Site photo of the field station (JUF)

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

en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for two meteorological stations in Jussy in Switzerland where one station is located within a natural broad-leaved forest stand (JUB) with sessile oak (_Quercus petrea_; 90 yrs), aspen (_Populus tremula_; 60 yrs) and European hornbeam (_Carpinus betulus_; 60 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, JUF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Jussy 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: Jussy, Switzerland: Long-term forest meteorological data from the Long-term Forest Ecosystem Research Programme (LWF), from 1997 onwards


en: soil precipitation sdms frost-change-velocity ground-temperature aridity

media_type: TIFF

en: Soil pH modified from SoilGrids

format: TIFF

en: Frost change frequency modified from CHELSA

media_type: tif

en: Mean annual temperature modified from CHELSA

en: Soil clay content modified from SoilGrids

en: Precipitation seasonality from CHELSA

en: Mean diurnal range modified from CHELSA

en: Precipitation of driest quarter modified from CHELSA

en: Soil organic carbon content modified from SoilGrids

en: The dataset contains seven environmental layers (average annual temperature, aridity [annual precipitation divided by annual potential evapotranspiration], frost change frequency, precipitation in the driest quarter, mean diurnal temperature range, and precipitation seasonality) modified from CHELSA (https://chelsa-climate.org/) and three soil layers (soil organic matter content, pH water, and clay content) modified from SoilGrids (https://soilgrids.org/).

aridity

display_name: aridity

frost-change-velocity

display_name: frost-change-velocity

ground-temperature

display_name: ground-temperature

sdms

display_name: sdms

soil

display_name: soil

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal

en: Environmental layers for SDM simulations (GDPlants)


en: orographic-precipitation precipitation-variability snow-precipitation cosmo-wrf 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.

complex-terrain

display_name: complex-terrain

cosmo-wrf

display_name: cosmo-wrf

orographic-precipitation

display_name: orographic-precipitation

precipitation-variability

display_name: precipitation-variability

snow-precipitation

display_name: snow-precipitation

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

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


wind-crust-formation-snowmicropen-data

title_for_slug: wind-crust-formation-snowmicropen-data

en: smp snowmicropen wind-packing snow wind-crust

en: SMP data

media_type: Link

en: Links to the dataset

en: README

en: Describes the dataset in detail

en: Processing scripts

en: Contains the R-scripts used to process the SMPs

en:
This dataset contains the SnowMicroPen (SMP) data from 38 wind tunnel experiments on wind-packing / wind crust formation. These experiments were performed in the winters 2015/16 and 2016/17 and include more than 1000 SMP measurements.

The SMPs are organized per experiment. Each experiment subfolder contains the processed SMP profiles 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. (2017). Wind tunnel experiments: Saltation is necessary for wind-packing. Journal of Glaciology, 63(242), 950-958. doi:10.1017/jog.2017.53

smp

display_name: smp

snow

display_name: snow

snowmicropen

display_name: snowmicropen

wind-crust

display_name: wind-crust

wind-packing

display_name: wind-packing

en: Wind crust formation: SnowMicroPen data


en: forest-structure snow-depth snow-distribution airborne-laser-scanning canopy-height

en: Readme

en: Terrain elevation maps

media_type: application/zip

en: Digital elevation model computed from snow-off flights for each of the field areas Davos, Engadine and Grand Mesa

en: Snow depth maps

en: Snow depth maps from two snow-on flights at each of the three field areas Davos (March 20th and 31st 2017), Engadien (March 20th and 31st, 2017) and Grand Mesa (February 8th and 16th, 2017)

en: Canopy height maps

en: Canopy height maps of each of the three field areas Davos, Engadine and Grand Mesa

en:
This dataset includes snow depth, canopy height and terrain elevation maps of forest stands in the Grisons (CH) and at Grand Mesa (CO,USA) derived from airborne lidar. Data were acquired i) within a pilot mission of NASA's Airborne Snow Observatory in the Swiss Alps in March 2017 and ii) during NASA’s SnowEx campaign at Grand Mesa in February 2017. Snow depth maps are available for two dates separated by approx.1 week, and include an area of ca. 0.5km2 for each of the three sites Davos, Engadine and Grand Mesa.
All data were presented and analyzed in the publication 'Revisiting Snow Cover Variability and Canopy Structure within Forest Stands: Insights from Airborne Lidar Data' (Mazzotti et al., 2019, WRR, doi: 10.1029/2019WR024898). This publication must be cited when using this dataset.

Paper Citation:
 > _Giulia Mazzotti; William Ryan Currier; Jeffrey S. Deems; Justin M. Pflug; Jessica D. Lundquist; Tobias Jonas (2019). Revisiting Snow Cover Variability and Canopy Structure Within Forest Stands: Insights From Airborne Lidar Data. Water Resources Research, 55, 6198– 6216, [doi: 10.1029/2019WR024898](https://doi.org/10.1029/2019WR024898)._

airborne-laser-scanning

display_name: airborne-laser-scanning

canopy-height

display_name: canopy-height

forest-structure

display_name: forest-structure

snow-depth

display_name: snow-depth

snow-distribution

display_name: snow-distribution

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal

en: ALS-based snow depth and canopy height maps from flights in 2017 (Grisons, CH and Grand Mesa, CO)


maintainer: Rebecca Mott

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

en: Snowmask 2015

en: Digital Elevation Modell 2015

en: Digital Elevation Modell 2014

en: Gletschboden test site

en: Snowmask 2014

en: Snowmask 2016

en: Digital Elevation Modell 2016

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

patchy-snow-covers

display_name: patchy-snow-covers

snow-ablation-rates

display_name: snow-ablation-rates

terrestrial-laser-scanning

display_name: terrestrial-laser-scanning

tls

display_name: tls

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

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


maintainer: Jürg Schweizer

en: avalanche-activity danger-level avalanche-forcasting snow-avalanche avalanche-size

en: Readme

en: The Readme file contains the description of the two data files.

en: Avalanche activity data

media_type: text/csv

en: This data file includes data on the avalanche activity per day aggregated from the avalanche data.

en: Snow avalanche data

en: This data file includes data on the avalanches mapped in the region of Davos.

en:
These data include all avalanches that were mapped in the region of Davos, Switzerland during the winters 1998-1999 to 2018-2019 (21 years), in total 13,918 avalanches, and the corresponding forecast danger level valid on the day of avalanche occurrence, 3533 days and danger ratings in total.

This avalanche activity data set was analysed and results published by Schweizer et al. (2020). They found that the
number of avalanches per day strongly increased with increasing danger level, but avalanche size was poorly related to avalanche danger level.

The data are provided in two files: the first includes the avalanche data (13,918 records); the second includes the avalanche activity per day (3533 records).
Please refer to the Read-me file for further details on the data.

These data are the basis of the following publication:
Schweizer, J., Mitterer, C., Techel, F., Stoffel, A. and Reuter, B., 2020. On the relation between avalanche occurrence and avalanche danger level. The Cryosphere, 14, 737-750, https://doi.org/10.5194/tc-14-737-2020.

avalanche-activity

display_name: avalanche-activity

avalanche-forcasting

display_name: avalanche-forcasting

avalanche-size

display_name: avalanche-size

danger-level

display_name: danger-level

snow-avalanche

display_name: snow-avalanche

en: Snow avalanche data Davos, Switzerland, 1999-2019


maintainer: Thorsten Bartels-Rausch

en: polar sea-salt-aerosol antartic cryosphere arctic snow laboratory-study

en: Experimental results of uptake coefficient vs. temperature and ozone concentration

en:
Data to Figure 3: Measured uptake coefficients as a function of temperature at 5E12 molecules per cm3 ozone concentration.

Data to Figure 6: Measured uptake coefficients at different temperatures as a function of gas- phase ozone concentration.

en: Experimental Results: Uptake coefficients vs. temperature and ozone concentration

en:
* Final Data to Figure 3: Uptake coefficients as a function of temperature at 5E12 molecules per cm3 ozone concentration.
* Final Data to Figure 6: Uptake coefficients at different temperatures as a function of gas- phase ozone concentration.

The average ozone uptake coefficients of the three cycles between the bypass and the flow tube per repeat is taken as the mean uptake coefficient for each experiment. Gamma was corrected for gas phase diffusion limitation following the Cooney–Kim– Davis (CKD) method52 (see supporting material of publication for details).

en: The reaction of ozone with bromide in polar regions results in the formation of reactive bromide species with impacts on ozone budget and the oxidative capacity of the lower atmosphere. Here, we present a data investigating the temperature dependence of bromide oxidation by ozone using a coated wall flow tube reactor coated with an aqueous mixture of citric acid and sodium bromide, a proxy for sea salt aerosol in snow or the free troposphere. Thus study shows the effect of of organic species at relatively mild temperatures between the freezing point and eutectic temperature as typical for Earth's cryosphere.

antartic

display_name: antartic

arctic

display_name: arctic

cryosphere

display_name: cryosphere

laboratory-study

display_name: laboratory-study

polar

display_name: polar

sea-salt-aerosol

display_name: sea-salt-aerosol

snow

display_name: snow

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal

en: Kinetic experiments on the oxidation of bromide by ozone from 289-245 K.


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

en: Data plot of the forest station (ALB)

media_type: application/pdf

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

en: Site aerial photo (Alpthal)

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

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


en: orthophoto orthoimage dsm alps findelengletscher glacier dem uav gletscher griesgletscher sankt-annafirn drone

en:
This .zip folder contains:

 - An orthoimage (oi) of 0.1m resolution

- A Digital Surface Model (dsm) of 0.1m resolution

- The Agisoft Photoscan automatic processing report

for the UAV field campaign conducted on the Sankt Annafirn on the 15th of April 2015.

en:
This .zip folder contains:

 - An orthoimage (oi) of 0.1m resolution

- A Digital Surface Model (dsm) of 0.1m resolution

- The Agisoft Photoscan automatic processing report

for the UAV field campaign conducted on the Sankt Annafirn on the 28th of September 2015.

en:
This .zip folder contains:

 - An orthoimage (oi) of 0.1m resolution

- A Digital Surface Model (dsm) of 0.1m resolution

- The Agisoft Photoscan automatic processing report

for the UAV field campaign conducted on the Findelengletscher on the 21th of July 2015.

en:
This .zip folder contains:

 - An orthoimage (oi) of 0.1m resolution

- A Digital Surface Model (dsm) of 0.1m resolution

- The Agisoft Photoscan automatic processing report

for the UAV field campaign conducted on the Findelengletscher on the 22th of September 2016.

en:
This .zip folder contains:

 - An orthoimage (oi) of 0.1m resolution

- A Digital Surface Model (dsm) of 0.1m resolution

- The Agisoft Photoscan automatic processing report

for the UAV field campaign conducted on the Findelengletscher on the 30th of August 2016.

en:
This .zip folder contains:

 - An orthoimage (oi) of 0.1m resolution

- A Digital Surface Model (dsm) of 0.1m resolution

- The Agisoft Photoscan automatic processing report

for the UAV field campaign conducted on the Griesgletscher on the 15th of August 2015.

en:
This .zip folder contains:

 - An orthoimage (oi) of 0.1m resolution

- A Digital Surface Model (dsm) of 0.1m resolution

- The Agisoft Photoscan automatic processing report

for the UAV field campaign conducted on the Findelengletscher on the 19th of April 2016.

en:
This .zip folder contains:

 - An orthoimage (oi) of 0.1m resolution

- A Digital Surface Model (dsm) of 0.1m resolution

- The Agisoft Photoscan automatic processing report

for the UAV field campaign conducted on the Griesgletscher on the 26th of September 2015.

en:
This .zip folder contains:

 - An orthoimage (oi) of 0.1m resolution

- A Digital Surface Model (dsm) of 0.1m resolution

- The Agisoft Photoscan automatic processing report

for the UAV field campaign conducted on the Findelengletscher on the 15th of September 2015.

en:
This .zip folder contains:

 - An orthoimage (oi) of 0.1m resolution

- A Digital Surface Model (dsm) of 0.1m resolution

- The Agisoft Photoscan automatic processing report

for the UAV field campaign conducted on the Findelengletscher on the 2nd of July 2016.

en:
This .zip folder contains:

 - An orthoimage (oi) of 0.1m resolution

- A Digital Surface Model (dsm) of 0.1m resolution

- The Agisoft Photoscan automatic processing report

for the UAV field campaign conducted on the Griesgletscher on the 13th of September 2016.

en: This folder contains all UAV flights paths that we created for the Sankt Annafirn, the Findelengletscher and Griesgletscher. They have been created with the software eMotion2, that was developped for the eBee platform from Sensefly.

en:
This .zip folder contains:

 - An orthoimage (oi) of 0.1m resolution

- A Digital Surface Model (dsm) of 0.1m resolution

- The Agisoft Photoscan automatic processing report

for the UAV field campaign conducted on the Findelengletscher on the 09th of April 2015.

en:
This .zip folder contains:

 - An orthoimage (oi) of 0.1m resolution

- A Digital Surface Model (dsm) of 0.1m resolution

- The Agisoft Photoscan automatic processing report

for the UAV field campaign conducted on the Sankt Annafirn on the 15th of July 2015.

en: Bulk Data Access

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

en:
This .zip folder contains:

 - An orthoimage (oi) of 0.1m resolution

- A Digital Surface Model (dsm) of 0.1m resolution

- The Agisoft Photoscan automatic processing report

for the UAV field campaign conducted on the Griesgletscher on the 3rd of August 2015.

en: This .pdf contains an orthoimage for each dataset as well as a Table which displays the number of flights made, image acquired, number of GCP set and the total area covered.

en:
 UAV-derived DSMs and orthoimages

Unmanned Aerial Vehicle (UAV) surveys were conducted between 2015 and 2016 on the Sankt Annafirn, Findelen- and Griesgletscher, situated in the Swiss Alps. Three surveys at the Sankt Annafirn allowed for a full glacier coverage, four surveys at Griesgletscher allowed an almost full glacier coverage and seven surveys at Findelengletscher allowed for a partial coverage of the glacier tongue (see individual datasets for exact extent). For each survey, a high resolution orthoimage and a Digital Surface Model (DSM) was created.

 UAV surveys:

Prior flight, Ground Control Points (GCPs) were deployed on the glacier surface and measured with a differential GPS (Trimble R7 or Leica GPS 1200). They allowed precise georeferencing of the UAV-derived datasets. UAV flight plans were planned with the software *eMotion 2* and a SenseFly eBee was used as surveying platform. The images were then processed with the software Agisoft Photoscan Pro 1.1.6 .

The location and dates of each survey can be found in the table together with the number of flights performed (Nflights), the number of acquired images (Nimages), the number of GCPs set (NGCPs) and the surveyed area.

A folder for each dataset is available (see folder name in table), which contains:

- An orthoimage *glacier_date_photoscan_oi_CH1903+_LV95_0.1m.tif*

- A Digital Surface Model *glacier_date_photoscan_dsm_CH1903+_LV95_0.1m.tif*

- The Agisoft Photoscan automatic processing report  *glacier_date_photoscan_report.pdf*

where:

- *glacier* is the name of the surveyed glacier

- *date* is the date of the UAV image acquisition

- *photoscan* is the name of the photogrammetric software

- *oi* or *dsm* the type of dataset

- *CH1903+_LV95* is the coordinate system and datum of the dataset

- *0.1m* is the resolution of the dataset in meter

- *.tif* is the extention of the dataset

Details about the UAV surveys, the image processing and the accuracy of the UAV-derived products can be found in this publication below.

Paper Citation:
 > _Gindraux et al. 2017. Accuracy Assessment of Digital Surface Models from Unmanned Aerial Vehicles’Imagery on Glaciers, Remote Sensing, 9, 186, 1-15, [doi: 10.3390/rs9020186](https://doi.org/10.3390/rs9020186)._

The folder UAV_flight_paths.zip contains all UAV flights performed on the Sankt Annafirn, Findelengletscher and Griesgletscher. The flights were planned with the software eMotion2 and have the .afp extention.

alps

display_name: alps

dem

display_name: dem

drone

display_name: drone

dsm

display_name: dsm

findelengletscher

display_name: findelengletscher

glacier

display_name: glacier

gletscher

display_name: gletscher

griesgletscher

display_name: griesgletscher

orthoimage

display_name: orthoimage

orthophoto

display_name: orthophoto

sankt-annafirn

display_name: sankt-annafirn

uav

display_name: uav

en: UAV-derived Digital Surface Models and orthoimages for three alpine glaciers