fr: election municipal

it: elezione comunale

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.

comunale

display_name: comunale

kommunal

display_name: kommunal

municipal

display_name: municipal

plaun-communal

display_name: plaun-communal

rm: Kantonsratswahl 2014 Gemeinde Menzingen

fr: Kantonsratswahl 2014 Gemeinde Menzingen

de: Kantonsratswahl 2014 Gemeinde Menzingen

it: Kantonsratswahl 2014 Gemeinde Menzingen


maintainer: Staatskanzlei Zug

fr: votation federal

de: national abstimmung

it: votazione nazionale

label: Descripziun dal format

label: Descrizione del formato

label: Formatbeschreibung

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

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

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

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

abstimmung

display_name: abstimmung

federal

display_name: federal

national

display_name: national

nazionale

display_name: nazionale

plaun-naziunal

display_name: plaun-naziunal

votation

display_name: votation

votazione

display_name: votazione

votaziun

display_name: votaziun

politics

fr: Politique

de: Politik

en: Politics

it: Politica

staatskanzlei-zug

de: Staatskanzlei Zug

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

political_level: canton

kanton-zug

capacity: public

type: organization

approval_status: approved

key: guid

key: uri

value: ZG-Kt - Staatskanzlei - DCAT Harvester


rm: Resultats finals da la votaziun federala "Änderung des Nationalstrassenabgabegesetzes (Autobahnvignette)", 24 da november 2013, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Änderung des Nationalstrassenabgabegesetzes (Autobahnvignette)", 24 novembre 2013, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Änderung des Nationalstrassenabgabegesetzes (Autobahnvignette)", 24. November 2013, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Änderung des Nationalstrassenabgabegesetzes (Autobahnvignette)", 24 novembre 2013, Kanton Zug, suddivisi per municipalit.


fr: federal votation

it: nazionale votazione

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.


rm: Resultats finals da la votaziun federala "Volksinititative vom 28. März 2006 "Für ein flexibles AHV-Alter"", 30 da november 2008, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Volksinititative vom 28. März 2006 "Für ein flexibles AHV-Alter"", 30 novembre 2008, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Volksinititative vom 28. März 2006 "Für ein flexibles AHV-Alter"", 30. November 2008, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Volksinititative vom 28. März 2006 "Für ein flexibles AHV-Alter"", 30 novembre 2008, Kanton Zug, suddivisi per municipalit.


de: wahl kommunal

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.

election

display_name: election

elecziun

display_name: elecziun

elezione

display_name: elezione

wahl

display_name: wahl

rm: Kantonsratswahl 2018 Gde Risch

fr: Kantonsratswahl 2018 Gde Risch

de: Kantonsratswahl 2018 Gde Risch

it: Kantonsratswahl 2018 Gde Risch


de: abstimmung national

rm: Resultats finals da la votaziun federala "Berufliche Vorsorge: Anpassung des Mindestumwandlungssatzes", 7 da mars 2010, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Berufliche Vorsorge: Anpassung des Mindestumwandlungssatzes", 7 mars 2010, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Berufliche Vorsorge: Anpassung des Mindestumwandlungssatzes", 7. März 2010, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Berufliche Vorsorge: Anpassung des Mindestumwandlungssatzes", 7 marzo 2010, Kanton Zug, suddivisi per municipalit.


rm: Resultats finals da la votaziun federala "Volksinitiative vom 11. Mai 2006 "Verbandsbeschwerderecht: Schluss mit der Verhinderungspolitik - Mehr Wachstum für die Schweiz!"", 30 da november 2008, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Volksinitiative vom 11. Mai 2006 "Verbandsbeschwerderecht: Schluss mit der Verhinderungspolitik - Mehr Wachstum für die Schweiz!"", 30 novembre 2008, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Volksinitiative vom 11. Mai 2006 "Verbandsbeschwerderecht: Schluss mit der Verhinderungspolitik - Mehr Wachstum für die Schweiz!"", 30. November 2008, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Volksinitiative vom 11. Mai 2006 "Verbandsbeschwerderecht: Schluss mit der Verhinderungspolitik - Mehr Wachstum für die Schweiz!"", 30 novembre 2008, Kanton Zug, suddivisi per municipalit.


rm: Resultats finals da la votaziun federala "Änderung vom 14. Dezember 2012 des Bundesgesetzes über die Arbeit in Industrie, Gewerbe und Handel", 22 da settember 2013, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Änderung vom 14. Dezember 2012 des Bundesgesetzes über die Arbeit in Industrie, Gewerbe und Handel", 22 septembre 2013, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Änderung vom 14. Dezember 2012 des Bundesgesetzes über die Arbeit in Industrie, Gewerbe und Handel", 22. September 2013, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Änderung vom 14. Dezember 2012 des Bundesgesetzes über die Arbeit in Industrie, Gewerbe und Handel", 22 settembre 2013, Kanton Zug, suddivisi per municipalit.


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

geography

fr: Géographie

de: Geographie

en: Geography

it: Geografia

population

fr: Population

de: Bevölkerung

en: Population

it: Popolazione

label: Thematisches Geoportal

label: geocat.ch permalink

spatial: Schweiz

fr: Serveur de téléchargement de geo.admin.ch

de: Download Server von geo.admin.ch

en: Download server from geo.admin.ch

it: Server di download di geo.admin.ch

format: ZIP

fr: Service WMS de geo.admin.ch

de: WMS Dienst von geo.admin.ch

en: WMS Service from geo.admin.ch

it: Servizio WMS di geo.admin.ch

format: WMS

fr: Lien vers la distribution des données

de: Link zum Datenbezug

fr: L’Inventaire fédéral des sites construits d’importance nationale à protéger en Suisse (ISOS) recense les sites construits les plus précieux et les plus importants du pays et les documente. Il permet de comprendre l’histoire et l’identité des sites construits et constitue ainsi une base essentielle pour un développement de qualité des agglomérations. L’ISOS sert de base de décision aux spécialistes de la sauvegarde du patrimoine et de l’aménagement du territoire. La Confédération l’utilise systématiquement dans l’accomplissement de ses tâches. Les cantons et les communes en tiennent compte dans leurs planifications. L'ISOS dispose de deux modèles de géodonnées minimaux: un premier présentant la structure des données ISOS jusqu'en 2020 et un second présentant la structure des données ISOS dès 2021.

de: Das Bundesinventar der schützenswerten Ortsbilder der Schweiz von nationaler Bedeutung (ISOS) bezeichnet die wertvollsten, landesweit bedeutenden Ortsbilder und dokumentiert sie. Es ermöglicht, Geschichte und Identität der Ortsbilder zu verstehen, und ist somit eine bedeutende Grundlage zur qualitätsvollen Siedlungsentwicklung. Das ISOS dient Fachleuten aus den Bereichen Denkmalpflege und Planung als Entscheidungsgrundlage. Der Bund wendet es bei der Erfüllung seiner Aufgaben systematisch an. Kantone und Gemeinden berücksichtigen das Bundesinventar bei der Erarbeitung ihrer entsprechenden Planungen. Das ISOS verfügt über zwei minimale Geodatenmodelle: Das erste modelliert die Struktur der ISOS-Daten bis 2020 und das zweite die Struktur der ISOS-Daten ab 2021.

en: The Inventory of Swiss Heritage Sites (ISOS) designates and documents the most valuable sites of national importance. It makes it possible to understand the history and identity of sites and is thus an important basis for quality settlement development. The ISOS provides experts in the fields of monument preservation and planning with a basis for decision-making. The Confederation makes systematic use of it in the fulfilment of its duties. Cantons and communes take account of the inventory when drawing up their plans accordingly. The ISOS has two minimal geodata models: the first models the structure of the ISOS data up to 2020 and the second models the structure of the ISOS data from 2021 onwards.

it: L’Inventario federale degli insediamenti svizzeri da proteggere d’importanza nazionale (ISOS) rileva e documenta gli insediamenti di maggior valore e importanza del paese. L’ISOS permette di comprendere la storia e l’identità dei diversi insediamenti, ed è quindi una base importante per consentirne uno sviluppo di alta qualità. L’ISOS funge da base decisionale agli specialisti della salvaguardia del patrimonio culturale e della pianificazione del territorio. L'Inventario è sistematicamente utilizzato dalla Confederazione nell’adempimento dei propri compiti. Cantoni e Comuni ne tengono conto nelle loro attività di pianificazione del territorio. L'ISOS dispone di due modelli di geodati minimi: uno con la struttura dei dati ISOS fino al 2020 e uno con la struttura dei dati ISOS a partire dal 2021.

bundesamt-fur-kultur-bak

fr: Office fédéral de la culture OFC

de: Bundesamt für Kultur BAK

en: Federal Office of Culture FOC

it: Ufficio federale della cultura UFC

fr: L'Office fédéral de la culture (OFC) est en charge de la politique culturelle de la Confédération et de l'encouragement, de la conservation et de la mise en valeur de la diversité culturelle. Il soutient la création culturelle dans des domaines comme l'art ou le cinéma, gère des musées et des collections, promeut la conservation du patrimoine et s'engage en faveur de la formation culturelle.

de: Das Bundesamt für Kultur (BAK) ist zuständig für die Kulturpolitik des Bundes und verantwortlich für die Förderung, Erhaltung und Vermittlung kultureller Vielfalt. Es fördert das kulturelle Schaffen in Bereichen wie Kunst und Film, betreut Museen und Sammlungen, unterstützt die Denkmalpflege und engagiert sich in der kulturellen Bildung.

en: The Federal Office of Culture (FOC) is the expert authority of the Swiss Confederation for cultural policy, cultural promotion, and the preservation of culture. It supports cultural work (art, film), manages museums and collections, promotes cultural heritage and encourages cultural education.

it: L'Ufficio federale della cultura (UFC) è responsabile della politica culturale della Confederazione e della promozione, salvaguardia e mediazione della diversità culturale. Esso promuove la creazione culturale in ambiti quali l'arte e il cinema, gestisce musei e collezioni, sostiene la salvaguardia dei monumenti storici e s'impegna a favore della formazione culturale.

political_level: confederation

value: BAK - Geocat Harvester

fr: ISOS - Inventaire fédéral des sites construits d'importance nationale à protéger en Suisse

de: ISOS - Bundesinventar der schützenswerten Ortsbilder der Schweiz von nationaler Bedeutung

en: ISOS - Federal Inventory of Swiss heritage sites of national importance

it: ISOS - Inventario federale degli insediamenti svizzeri da proteggere d’importanza nazionale


amtliches-verzeichnis-der-strassen

territory

fr: Territoire et environnement

de: Raum und Umwelt

en: Territory and environment

it: Territorio e ambiente

title_for_slug: amtliches-verzeichnis-der-strassen

de: amtliche-vermessung-av strassenachse bgdi-bundesgeodaten-infrastruktur strasse geobasisdaten strassennetz adressen nomenklatur gebaudeadresse

fr: Map (Preview) Aperçu map.geo.admin.ch

de: Map (Preview) Vorschau map.geo.admin.ch

en: Map (Preview)  map.geo.admin.ch

it: Map (Preview) Previsione map.geo.admin.ch

fr: Aperçu map.geo.admin.ch

de: Vorschau map.geo.admin.ch

en: Preview map.geo.admin.ch

it: Previsione map.geo.admin.ch

format: SERVICE

format: HTML

fr: RESTful API de geo.admin.ch

de: RESTful API von geo.admin.ch

en: RESTful API from geo.admin.ch

it: RESTful API da geo.admin.ch

format: API

de: Linked Data

fr: Jeu de données officiel du “Répertoire officiel des rues”, ID 196, selon le catalogue des géodonnées de base relevant du droit fédéral. Le répertoire officiel des rues contient toutes les rues qui sont enregistrées dans le Registre des bâtiments et des logements (RegBL) et déclarées officielles comme tel. La responsabilité pour la complétude des noms du registre officiel des rues est définie dans le règlement cantonal.

de: Offizieller Datensatz für «Amtliches Verzeichnis der Strassen», ID196, gemäss Katalog der Geobasisdaten nach Bundesrecht. Das amtliche Verzeichnis der Strassen beinhaltet sämtliche Strassennamen welche im Eidgenössischen Gebäude- und Wohnungsregister (GWR) offiziell deklariert werden. Die Verantwortlichkeit für die Vollständigkeit der Namen im amtlichen Verzeichnis der Strassen erfolgt nach kantonalen Vorschriften.

en: Official dataset for “official index of streets”, ID196, as per the catalogue of basic geodata in accordance with Swiss Federal Law. The official index of streets includes all of the street names that have been officially declared in the Swiss Federal Register of Buildings and Dwellings (RBD). Responsibility for the completeness of the names in the official index of streets is governed by cantonal provisions.

it: Dataset ufficiale dell ”elenco ufficiale delle vie”, ID 196, secondo il catalogo dei geodati di base nel diritto federale. L'elenco ufficiale delle vie contiene tutti i nomi delle strade che sono registrati nel Registro degli edifici e delle abitazioni (REA) e dichiarati ufficiali come tali. La responsabilità per la completezza dei nomi dell'elenco ufficiale delle vie è definito in base ai regolamenti cantonali.

name: Bundesamt für Landestopografie swisstopo, Vermessung

fr: Office fédéral de topographie swisstopo

en: Federal Office of Topography swisstopo

it: Ufficio federale di topografia swisstopo

fr: Le centre de compétence de la Confédération suisse pour les informations géographiques, c'est-à-dire pour la description, la représentation et l’archivage de données à référence spatiale.

de: Das Kompetenzzentrum der Schweizerischen Eidgenossenschaft für Geoinformation, d.h. für die Beschreibung, Darstellung und Archivierung von raumbezogenen Geodaten.

en: The centre of competence for the Swiss Confederation responsible for geographical reference data, for instance the description, representation and archiving of geographic spatial data.

it: Il centro d’eccellenza della Confederazione Elvetica per geoinformazione, cioè per la descrizione, rappresentazione e archiviazione dei dati georeferenziati (geodati).

value: Swisstopo - Geocat Harvester

fr: Répertoire officiel des rues

de: Amtliches Verzeichnis der Strassen

en: Official index of streets

it: Elenco ufficiale delle vie


fr: point-dinteret-poi geoservice centre-de-loisirs batiment

de: point-of-interest-poi geodienst freizeitanlage bauwesen-und-gebaute-umwelt

en: point-of-interest-poi geoservice leisure-facility building

it: punto-di-interesse-poi geoservizio centro-per-il-tempo-libero edilizia

label: öffentliche Spielplätze und Sportanlagen in der Gemeinde Emmen

de: Kartendienst mit den Spielplätzen und Sportanlagen in der Zuständigkeit der Gemeinde Emmen

de: WFS Spielplätze und Sportanlagen in der Gemeinde Emmen

format: WFS

fr: Service de carte avec les bâtiments de l'école dans la commune de Emmen

de: Kartendienst mit den öffentlichen Spielplätzen und Sportanlagen in der Gemeinde Emmen

de: Gemeinde Emmen

de: Emmen ist mit mehr als 31'000 Einwohnern nach der Stadt Luzern die Gemeinde mit der zweithöchsten Einwohnerzahl im Kanton Luzern. Gemäss kommunaler GIS-Strategie (https://www.emmen.ch/publikationen/344959) stellt Emmen Geodaten öffentlich zur Verfügung, soweit keine Schutzgründe/Datensicherheitsrestriktionen entgegenstehen. Geodaten werden in Form von Kartendiensten auf dem kommunalen Geoportal: https://www.emmen.ch/gemeindeinzahlen/43855 publiziert und als WMS zur öffentlichen Verfügung gestellt. Die zugrunde liegenden Geodaten und Geodienste werden in geocat.ch dokumentiert, die publizierten WMS auf opendata.swiss sind mit geocat.ch synchronisiert.

political_level: commune

value: Gemeinde Emmen - Geocat Harvester

de: Spielplätze und Sportanlagen Gemeinde Emmen (WMS/WFS)


fr: geoservice point-dinteret-poi construction batiment

de: geodienst point-of-interest-poi bau bauwesen-und-gebaute-umwelt

en: geoservice point-of-interest-poi construction building

it: geoservizio punto-di-interesse-poi costruzione edilizia

de: Sitzbänke, Abfalleimer, Grillstellen Emmen

de: Kartendienst mit den Sitzbänken, Abfalleimern und Grillstellen der Gemeinde Emmen

de: WFS Sitzbänke, Abfalleimer und Robidog

de: Kartendienst mit den Sitzbänken, Abfalleimern (inkl. Möblierung an Bushaltestellen) und Robidogstandorten sowie den öffentlichen Grillstellen in der Zuständigkeit der Gemeinde Emmen

de: Sitzbänke, Abfalleimer und Grillstellen Emmen (WMS/WFS)


parkplatze-emmen-wms

title_for_slug: parkplatze-emmen-wms

fr: reseau-de-transport geoservice point-dinteret-poi batiment

de: verkehrsnetz geodienst point-of-interest-poi bauwesen-und-gebaute-umwelt

en: traffic-network geoservice point-of-interest-poi building

it: rete-di-trasporto geoservizio punto-di-interesse-poi edilizia

label: Webkarte mit den Parkplätzen der Zonen A, B, C sowie Veloparkierungsanlagen in der Zuständigkeit der Gemeinde Emmen

de: DE#Kartendienst mit den öffentlichen Parkplätzen der Zonen A|FR#|EN#|IT#

de: WFS Parkplätze Emmen

de: WFS mit den Parkplätzen und Veloparkierungsanlagen der Gemeinde Emmen

de: Kartendienst mit den öffentlichen Parkplätze der Zonen A, B und C sowie Veloparkierungsanlagen

de: Parkplätze Emmen (WMS/WFS)


gastrobetriebe-emmen-wms

title_for_slug: gastrobetriebe-emmen-wms

fr: point-dinteret-poi geoservice construction batiment

de: point-of-interest-poi geodienst bau bauwesen-und-gebaute-umwelt

en: point-of-interest-poi geoservice construction building

it: punto-di-interesse-poi geoservizio costruzione edilizia

de: Gastrobetriebe Emmen

de: Kartendienst mit den Gastro- und Beherbergungsbetrieben in der Zuständigkeit der Gemeinde Emmen

de: WFS Gastrobetriebe Emmen

de: Kartendienst mit den Gastro- und Beherbergungsbetrieben in der Gemeinde Emmen

de: Gastrobetriebe Emmen (WMS/WFS)


schulanlagen-emmen-wms

title_for_slug: schulanlagen-emmen-wms

fr: point-dinteret-poi construction geoservice batiment

de: point-of-interest-poi bau geodienst bauwesen-und-gebaute-umwelt

en: point-of-interest-poi construction geoservice building

it: punto-di-interesse-poi costruzione geoservizio edilizia

de: Schulhäuser Gemeinde Emmen

de: WFS mit den Schulhäusern der Gemeinde Emmen

de: Kartendienst mit den öffentlichen Schuhäusern in der Gemeinde Emmen

de: Gemeinde Emmen

de: Emmen ist mit mehr als 31'000 Einwohnern nach der Stadt Luzern die Gemeinde mit der zweithöchsten Einwohnerzahl im Kanton Luzern. Gemäss kommunaler GIS-Strategie (https://www.emmen.ch/publikationen/344959) stellt Emmen Geodaten öffentlich zur Verfügung, soweit keine Schutzgründe/Datensicherheitsrestriktionen entgegenstehen. Geodaten werden in Form von Kartendiensten auf dem kommunalen Geoportal: https://www.emmen.ch/gemeindeinzahlen/43855 publiziert und als WMS zur öffentlichen Verfügung gestellt. Die zugrunde liegenden Geodaten und Geodienste werden in geocat.ch dokumentiert, die publizierten WMS auf opendata.swiss sind mit geocat.ch synchronisiert.

de: Schulanlagen Emmen (WMS/WFS)


signalisation-und-markierung-emmen-wms

title_for_slug: signalisation-und-markierung-emmen-wms

de: geodienst verkehrsnetz verkehr

en: geoservice traffic-network transport

it: geoservizio rete-di-trasporto trasporti

de: Strasseninfrastruktur Gemeinde Emmen

de: WFS Strasseninfrastruktur

de: WFS mit der Strasseninfrastruktur in der Gemeinde Emmen

de: Kartendienst mit den Strassen, Tempo 30- und Begegnungszonen (Tempo 20), Fussgängerstreifen, Kunstbauten und Verkehrsspiegel in der Gemeinde Emmen

de: Strasseninfrastruktur Emmen (WMS/WFS)


geography

fr: Géographie

de: Geographie

en: Geography

it: Geografia

territory

de: Raum und Umwelt

label: Geometadaten Kanton Zürich: GeoLion

spatial: Kanton Zürich

de: Download via GIS-Browser

de: Mit der Festlegung des Gewässerraums an den oberirdischen Gewässern soll der Raum gesichert werden, welcher nötig ist zur Gewährleistung der natürlichen Funktionen der Gewässer, des Hochwasserschutzes und der Gewässernutzung. Die Gewässerschutzverordnung des Bundes (GSchV) legt dazu konkrete Masse fest, wie gross der Gewässerraum mindestens sein muss (Art. 41a und 41b GSchV). Der Gewässerraum muss dort erhöht werden, wo dies zur Gewährleistung für den Hochwasserschutz, der Revitalisierung, sowie bei überwiegenden Interessen des Natur- und Landschaftsschutzes und der Gewässernutzung erforderlich ist. Im Gewässerraum dürfen nur standortgebundene, im öffentlichen Interesse liegende Bauten und Anlagen erstellt werden. In dicht überbauten Gebieten kann der Gewässerraum den baulichen Gegebenheiten angepasst werden, soweit der Schutz vor Hochwasser gewährleistet ist, bzw. kann die Behörde für zonenkonforme Bauten und Anlagen Ausnahmen bewilligen, sofern keine überwiegenden Interessen entgegenstehen. Rechtmässig erstellte und bestimmungsgemäss nutzbare Bauten und Anlagen im Gewässerraum sind in ihrem Bestand grundsätzlich geschützt. Der Gewässerraum darf nur extensiv gestaltet und bewirtschaftet werden (Art. 41 c GschV) Solange der Gewässerraum nicht festgelegt ist, regeln die Übergangsbestimmungen der GSchV direkt und grundeigentümerverbindlich die Bemessung der von Bauten und Anlagen freizuhaltenden Uferstreifen. Der Gewässerabstand von 5 Meter gemäss § 21 des kantonalen Wasserwirtschaftsgesetzes (WWG), behält bis zu einer allfälligen Anpassung des WWG auch mit der Festlegung des Gewässerraums weiterhin Gültigkeit. Nach der Ersterfassung werden die Daten in den ÖREB-Kataster überführt.

name:
Amt für Abfall, Wasser, Energie und Luft
             - Abteilung Wasserbau

geoinformation-kanton-zuerich

fr: Département de Géoinformation du Canton de Zurich

de: Geoinformation Kanton Zürich

en: Department of Geoinformation of the Canton of Zurich

it: Dipartimento della geoinformazione del Cantone di Zurigo

fr:
Le département de géomatique est le centre de compétence du system d'information géographique du canton de Zurich.
Nous coordinons l'aquisition des géodonnées d'intérêt commun sur le territoire cantonal et les mettons à disposition des
secteurs public et privé et des particuliers.

en:
The department of geoinformation is the geospatial competency center of the Canton of Zurich.
We coordinate the acquisition of geodata within the cantonal territory and provide public, private, and government sectors with data of outstanding quality.

de: Die Abteilung Geoinformation ist das Kompetenzzentrum für räumliche Informationen im Kanton Zürich. Wir versorgen Gesellschaft, Wirtschaft und öffentliche Verwaltung mit qualitativ hochstehenden Geodaten und Informationen über den Kanton Zürich.

it: La divisione della geoinformazione è il centro d'eccellenza del Cantone di Zurigo per dati georeferenziati. Mettiamo a disposizione dati geografici e informazioni di alta qualità per l'economia, la società e la pubblica amministrazione su tutto il cantone.

value: ZH - Geocat Harvester

de: Gewässerraum


energieplan-emmen-wms

title_for_slug: energieplan-emmen-wms

de: Quartiervereine Gemeinde Emmen|

de: Kartendienst mit dem Energieplan der Gemeinde Emmen

de: WFS Energieplan Emmen

de: Geodienst Energieplan Emmen

de: Energieplan Emmen WMS


quartiervereine-gemeinde-emmen-wms

title_for_slug: quartiervereine-gemeinde-emmen-wms

fr: geoservice plan-de-quartier quartier

de: geodienst quartierplan quartier

en: geoservice quarter-map quarter

de: Quartiervereine Gemeinde Emmen

de: Kartendienst mit den Perimetern der verschiedenen Quartiervereine in der Gemeinde Emmen

de: DE#|FR#|EN#|IT#

de: Kartendienst mit dem Zuständigkeitsgebiet der Quartiervereine in der Gemeinde Emmen

de: Gemeinde Emmen

de: Emmen ist mit mehr als 31'000 Einwohnern nach der Stadt Luzern die Gemeinde mit der zweithöchsten Einwohnerzahl im Kanton Luzern. Gemäss kommunaler GIS-Strategie (https://www.emmen.ch/publikationen/344959) stellt Emmen Geodaten öffentlich zur Verfügung, soweit keine Schutzgründe/Datensicherheitsrestriktionen entgegenstehen. Geodaten werden in Form von Kartendiensten auf dem kommunalen Geoportal: https://www.emmen.ch/gemeindeinzahlen/43855 publiziert und als WMS zur öffentlichen Verfügung gestellt. Die zugrunde liegenden Geodaten und Geodienste werden in geocat.ch dokumentiert, die publizierten WMS auf opendata.swiss sind mit geocat.ch synchronisiert.

de: Quartiervereine Emmen (WMS/WFS)


biogas-aus-hofdunger-in-der-schweiz

maintainer: EnviDat Support

title_for_slug: biogas-aus-hofdunger-in-der-schweiz

en: manure switzerland biogas bioenergy review

en: Biogas aus Hofdünger in der Schweiz

media_type: PDF

en: Ziel dieses Whitepapers ist es, Entscheidungsträgern, Verwaltungen und Stakeholdern die aktuellsten Forschungsergebnisse zur Verfügung zu stellen, um die optimale Nutzung von Bioenergie aus Hofdünger in der Schweizer Energiewende zu fördern. Zu diesem Zweck werden die Ergebnisse des Schweizer Kompetenzzentrums für Bioenergieforschung - SCCER BIOSWEET - zusammengefasst und in einem breiteren Kontext dargestellt. Wenn nichts anderes erwähnt wird, beziehen sich die Ergebnisse auf die Schweiz und im Falle der Ressourcen auf die heimischen Biomassepotenziale.

format: PDF

bioenergy

display_name: bioenergy

biogas

display_name: biogas

manure

display_name: manure

review

display_name: review

switzerland

display_name: switzerland

education

fr: Education, science

de: Bildung, Wissenschaft

en: Education and science

it: Formazione e scienza

envidat

fr: EnviDat: le portail de données environnementales

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

it: EnviDat: il portale dei dati ambientali

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

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

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

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

political_level: other

value: Envidat Harvester


fr: votation federal

de: abstimmung national

it: nazionale votazione

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.

abstimmung

display_name: abstimmung

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.

rm: Energiegesetz (EnG)

fr: Energiegesetz (EnG)

de: Energiegesetz (EnG)

it: Energiegesetz (EnG)


fr: federal votation

de: national abstimmung

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

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

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

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

federal

display_name: federal


en: climate climate-layers minimum-temperature maximum-temperature free-climate-data century timeseries precipitation air-temperature

en: CHELSA Technical Documentation

media_type: application/pdf

en: As the CHELSA project is continuously expanded, certain new parameters, time scales etc. are not included anymore in the original publication (Karger et al. 2017). We are therefore provide this document as a guideline of the current climatic parameters available and will expand it as new parameters or time periods will become available. Please refer to the version history for changes made in the document.

mimetype: application/pdf

en: Data Access

media_type: geotiff

format: GeoTIFF

en:
CHELSAcruts is a delta change monthly climate dataset for the years 1901-2016 for mean monthly maximum temperatures, mean monthly minimum temperatures, and monthly precipitation sum. Here we use the delta change method by B-spline interpolation of anomalies (deltas) of the CRU TS 4.01 dataset. Anomalies were interpolated between all CRU TS grid cells and are then added (for temperature variables) or multiplied (in case of precipitation) to high resolution climate data from CHELSA V1.2 (Karger et al. 2017, Scientific Data). This method has the assumption that climate only varies on the scale of the coarser (CRU TS) dataset, and the spatial pattern (from CHELSA) is consistent over time. This is certainly a rather crude assumption, and for time periods for which more accurate data is available CHELSAcruts should be avoided if possible (e.g. use CHELSA V1.2 for 1979-2015). Different to CHELSA V1.2, CHELSAcruts does not take changing wind patterns, or temperature lapse rates into account, but rather expects them to be constant over time, and similar to the long term averages.

CHELSAcruts is licensed under a Creative Commons Attribution 2.0 Generic (CC BY 2.0) license.

air-temperature

display_name: air-temperature

century

display_name: century

climate

display_name: climate

climate-layers

display_name: climate-layers

free-climate-data

display_name: free-climate-data

maximum-temperature

display_name: maximum-temperature

minimum-temperature

display_name: minimum-temperature

precipitation

display_name: precipitation

timeseries

display_name: timeseries

en: CHELSAcruts -  High resolution temperature and precipitation timeseries for the 20th century and beyond


maintainer: Lisa Hülsmann

en: mortality-models tree-mortality forest-inventory fagus-sylvatica forest-reserves primeval-forests

en: German data

en:
READ ME for

Hülsmann L, Bugmann H, Commarmot B, Meyer P, Zimmermann S, Brang P
Data from: Does one model fit all? Patterns of beech mortality in natural forests of three European regions.
Ecological Applications http://dx.doi.org/10.5061/dryad.h4s6t

Forest inventory data of beech for the development of individual-tree mortality models from strict forests reserves in Switzerland, Germany and Ukraine.

The data package provides the files
CH_reduced: inventory data of the reduced dataset from Switzerland that was used to assess the influence of additional environmental and stand characteristics on beech mortality
CH: inventory data from strict forest reserves in Switzerland
DE: inventory data from strict forest reserves in Germany
UA: inventory data from a primeval beech forest in Ukraine

A set of three consecutive inventories was used to generate records for the calibration of mortality models based on trees that were alive in the first and second inventory and either dead or alive in the third inventory.
Diameter at breast height: dbh (mm)
Annual relative basal area increment: relBAI (), calculated based on the first and the second dbh measurement as the compound annual growth rate of the trees basal area (Bigler and Bugmann 2004)
Status of the tree: y, 0 = alive, 1 = dead
Length of the mortality period: dt (years)

Additional environmental and stand characteristics were derived for the reduced Swiss dataset.
Note the varying seasonal level of the covariates considering the entire year, the growing season from April to September (G) and the winter month January to March (W).
All climatic covariates were calculated for both the ‘growth’ (2) and the ‘mortality’ period (3). The stand covariates were derived for the second inventory of each record (2).

Mean diameter at breast height: dbh.mean.2 (mm)
Interquartile range of diameter at breast height: dbh.IQR.2 (mm)
Median diameter at breast height: dbh.median.2 (mm)
Basal area per hectare: BA.2 (m2 ha-1)
Number of trees per hectare: N.2 (ha-1)
pH-value: pH ()
Available water capacity in the soil: AWC (mm)
Mean annual precipitation sum: P.2, P.3 (mm)
Mean precipitation sum during growing season: PG.2, PG.3 (mm)
Mean annual air temperature: mT.2, mT.3 (°C)
Mean air temperature during growing season: mTG.2, mTG.3 (°C)
Mean air temperature during winter months: mTW.2, mTW.3 (°C)
Mean growing degree-days: GDD.2, GDD.3 ()
Mean number of months during growing season with water deficit: mDEFdurG.2, mDEFdurG.3 ()
Mean annual maximum water deficit: mDEFmax.2, mDEFmax.3 (mm)
Overall maximum of the annual maximum water deficit: maxDEFmax.2, maxDEFmax.3 (mm)
Mean of cumulative water deficit during growing season: mDEFcumG.2, mDEFcumG.3 (mm)
Overall maximum of cumulative water deficitduring growing season: maxDEFcumG.2, maxDEFcumG.3 (mm)
Percentage of years with at least one month water deficit: percDEF.2, percDEF.3 (%)

en: Swiss data reduced

en: Ukrainian data

en: Swiss data full

en:
The datasets comprise nearly 19’000 trees of European beech (_Fagus sylvatica_ L.) from unmanaged forests in Switzerland, Germany / Lower Saxony and Ukraine. Tree death was modelled as a function of size and growth, i.e., stem diameter (DBH) and relative basal area increment (relBAI). To explain the spatial and temporal variability in mortality patterns, we considered a large set of environmental and stand characteristics.

 Inventory data
The strict forest reserves in Switzerland and Germany had been established in the period of 1961-1975 and 1971-1974, respectively. Every reserve included up to 10 permanent plots ranging from 0.09 to 1.8 ha in size, with slightly irregular re-measurement intervals. Permanent plots with pure or mixed beech stands were selected from the reserves of both networks. Reserves with considerable wind disturbance during the monitored intervals were excluded from the analysis. In addition to data from the Swiss and German reserves, data from a 10 ha plot in the primeval beech forest Uholka in Western Ukraine including three remeasurements were used. The inventory data provide diameter measurements at breast height (dbh) for revisited trees with a diameter of more than 4, 7 and 6 cm for Switzerland, Germany and Ukraine, respectively.

 Mortality predictors
A set of three consecutive inventories was used to generate records for the calibration of mortality models based on trees that were alive in the first and second inventory and either dead or alive in the third inventory. As an explanatory variable, the annual relative basal area increment (relBAI) was calculated based on the first and the second dbh measurement as the compound annual growth rate of the trees basal area. Tree dbh in the second inventory was used in addition to relBAI to model tree status (alive or dead) of the third inventory.

To increase the generality of the mortality models, we selected environmental variables that are known to have a considerable influence on growth and mortality of beech. We emphasized the effects of water availability using a large set of drought characteristics that were calculated based on the local site water balance. We also related beech mortality to soil pH, temperature, precipitation and growing degree-days. Additionally, we considered stand characteristics that reflect the development stage, competition and structure of the forests.

 Further information
For further information, refer to Hülsmann _et al_. (2016) Does one model fit all? patterns of beech mortality in natural forests of three European regions. _Ecological Applications_.

fagus-sylvatica

display_name: fagus-sylvatica

forest-inventory

display_name: forest-inventory

forest-reserves

display_name: forest-reserves

mortality-models

display_name: mortality-models

primeval-forests

display_name: primeval-forests

tree-mortality

display_name: tree-mortality

en: Data from: Does one model fit all? patterns of beech mortality in natural forests of three European regions


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

en: Herunterladen des DHM mit SwissGeoDownloader

en: View video on youtube!

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

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

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

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

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

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

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

cable-yarding

display_name: cable-yarding

digital-elevation-model

display_name: digital-elevation-model

digital-planning

display_name: digital-planning

geoinformation-system

display_name: geoinformation-system

open-source

display_name: open-source

qgis-plugin

display_name: qgis-plugin

seilaplan

display_name: seilaplan

swiss-geo-downloader

display_name: swiss-geo-downloader

swiss-geodata

display_name: swiss-geodata

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal

en: Seilaplan Tutorial: DTM download with SwissGeoDownloader


maintainer: Dirk Nikolaus Karger

en: free-climate-data precipitation climate-change temperature bioclim climate climatology climate-layers

en: CHELSA Technical Documentation

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

en: CHELSA V1.2 (deprecated)

en: CHELSA Version 1.2 based on ERA-Interim forcings and CMIP5

en: CHELSA V2.1 (current)

en: CHELSA Version 2.1 based on ERA5 forcings and CMIP6

en:
High-resolution information on climatic conditions is essential to many applications in environmental and ecological sciences. Here we present the CHELSA (Climatologies at high resolution for the earth’s land surface areas) data of downscaled temperature and precipitation to a high resolution of 30 arc sec. The temperature algorithm is based on statistical downscaling of atmospheric temperatures. The precipitation algorithm incorporates orographic predictors including wind fields, valley exposition, and boundary layer height, with a subsequent bias correction.

CHELSA data published in EnviDat includes the deprecated version 1.2 (originally published under 10.5061/dryad.kd1d4). Please use the current 2.1 version.

Paper Citation:
 > _Karger DN. et al. Climatologies at high resolution for the earth’s land surface areas, Scientific Data, 4, 170122 (2017) [doi: 10.1038/sdata.2017.122](https://doi.org/10.1038/sdata.2017.122)._

bioclim

display_name: bioclim

climate

display_name: climate

climate-change

display_name: climate-change

climate-layers

display_name: climate-layers

climatology

display_name: climatology

free-climate-data

display_name: free-climate-data

precipitation

display_name: precipitation

temperature

display_name: temperature

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


maintainer: Henning Löwe

en: microstructure snow-mechanics 3d-ct-images spherical-model-snow discrete-element-modelling unconfined-compression-experiments

en: Data Access

media_type: HTTPS

en: Data Structure (Python Notebook)

media_type: ipynb

media_type: text/plain

format: TXT

mimetype: text/plain

en: Data Structure (Python Notebook - view online)

en:
For the investigation of microstructural and mechanical properties of snow unconfined compression experiments and 3D computed tomography (CT) imaging were performed on sintered rounded grain snow and spherical model snow. The spherical model snow was generated to create geometrically simplified, well-defined microstructures for calibration of numerical models, such as discrete element models (DEM) in which the microstructure is represented by spherical particles.
In the experiments, microstructural variation was created by varying the sintering time (contact size) and the density of the ice sphere samples (number of contacts). The 3D CT images allow for a complete reconstruction of the entire experimental sample (cylindrical sample dimension: diameter = 33.6 mm; height = 14 mm).

discrete-element-modelling

display_name: discrete-element-modelling

microstructure

display_name: microstructure

snow-mechanics

display_name: snow-mechanics

spherical-model-snow

display_name: spherical-model-snow

unconfined-compression-experiments

display_name: unconfined-compression-experiments

en: Unconfined compression experiments and 3D CT images of spherical model snow and RG snow samples


global-cryosphere-watch-data-survey

maintainer: Mathias Bavay

title_for_slug: global-cryosphere-watch-data-survey

en: data-usage automatic-publication data-portal gcw data-exchange

en: Third party data usage

en: Data interoperability survey

en: Two surveys on the topic of data usage where conducted for the Global Cryosphere Watch data portal. The first one focused on the data provider point of view while the second one focused on the data user point of view. 37 data providers (ie institutions) worldwide provided their answers for the first survey (from fall 2017 until summer 2018) while 54 users (contacted through various mailing list such as the Cryolist) answered the questions on their third party data usage (fall 2019 until January 2020).

automatic-publication

display_name: automatic-publication

data-exchange

display_name: data-exchange

data-portal

display_name: data-portal

data-usage

display_name: data-usage

gcw

display_name: gcw

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal

en: Global Cryosphere Watch data survey


en: co2 soil forest picea-abies nitrogen face

en: Water analyses

en: Analyses of water, especially soil solution

en: Resin bags

en: Ammonium, nitrate and their 15N in resin bags

en: Collection points

en: Collection points under the trees

en: Gross N mineralisation and nitrification

en: Gross rates of N mineralisation and nitrification (15N dilution)

en: Soil C and N

en: Analyses of C, N and their stable isotopes in the soil, and soil pH

en: Collection of soil solution

en: Soil solution collected by suction cups

en: Data obtained in the free-air CO2 enrichment (FACE) experiment at Hofstetten, NW Switzerland, between 2009 and 2016. This dataset contains analyses of the soil solution throughout the experiment, especially for nitrate, as well as different analyses done at the end of the experiment: ammonium and nitrate captured by ion-exchange resin bags and extracted from soil cores, gross N mineralisation and nitrification measured by isotope dilution.

face

display_name: face

forest

display_name: forest

nitrogen

display_name: nitrogen

picea-abies

display_name: picea-abies

soil

display_name: soil

en: Nitrogen availability under trees exposed to CO2 enrichment (FACE)


maintainer: Marcia Phillips

en: permos borehole temperature gemsstock permafrost

en: DATASET & PLOTS

media_type: URL

en: Data visualiser and download service provided by PERMOS.

en: PERMOS DATA POLICY

en: Map of PERMOS borehole network

en:
Processed ground temperature measurements at the Gemsstock permafrost borehole in canton Uri, Switzerland. The borehole is located at 2940 m asl on a steep (50°) North-West slope (315°). The surface material is bedrock and borehole depth is 40 m. Thermistors used YSI 44008. Year of drilling 2006. This borehole is part of the Swiss Permafrost network, PERMOS (www.permos.ch). Contact phillips@slf.ch for details of processing applied.

Publications

1. A. Haberkorn, M. Phillips, R. Kenner, H. Rhyner, M. Bavay, S.P. Galos, M. Hoelzle. Thermal regime of rock and its relation to snow cover in steep Alpine rock walls: Gemsstock, central Swiss Alps. 2015. Geografiska Annaler: Series A, Physical Geography. Volume 97. Issue 3. 579–597. http://dx.doi.org/10.1111/geoa.12101. 10.1111/geoa.12101.

2. R. Kenner, M. Phillips, C. Danioth, C. Denier, P. Thee, A. Zgraggen. Investigation of rock and ice loss in a recently deglaciated mountain rock wall using terrestrial laser scanning: Gemsstock, Swiss Alps. 2011. Cold Regions Science and Technology. Volume 67. Issue 3. 157–164. http://dx.doi.org/10.1016/j.coldregions.2011.04.006. 10.1016/j.coldregions.2011.04.006.

borehole

display_name: borehole

gemsstock

display_name: gemsstock

permafrost

display_name: permafrost

permos

display_name: permos

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal

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

en: Processed permafrost borehole data (2940 m asl), Gemsstock, Switzerland


automatic-detection-of-avalanches

maintainer: Matthias Heck

title_for_slug: automatic-detection-of-avalanches

en: seismic snow hidden-markov-model monitoring avalanche-activity

en: Results and Scripts

media_type: application/zip

en: This zip package contains the classification results, coherence results, reference data set, python scripts used for the classification and the start and end times for the pre-processed continuous seismic data. A further readme file is also include for more detailed information.

mimetype: application/zip

en: This dataset contains the results obtained by an automatic classification using hidden Markov models of a continuous seismic dataset. To avoid long computational times, we reduced the seismic data using pre-processing step. The start and end times of the windows used for the classification are also included in this dataset. Furthermore, an avalanche reference data set is included and the python scripts used to perform the processing steps and the classification.

avalanche-activity

display_name: avalanche-activity

hidden-markov-model

display_name: hidden-markov-model

monitoring

display_name: monitoring

seismic

display_name: seismic

snow

display_name: snow

en: Automatic detection of avalanches


disdrometer-data-laret

maintainer: Daniel Wolfensberger

title_for_slug: disdrometer-data-laret

en: visibility disdrometer precipitation raclets hydrometeors

en: Disdrometer Data Laret

en: The zip folder contains one netCDF file per day for Laret from February 7 to March 29 2019 with a temporal resolution of 30 seconds (time in UTC). The naming convention for the files is Laret_YYYYMMDD.nc and the files include the following: characteristics of hydrometeors (e.g. diameter, fall velocity, amount per diameter class,...), precipitation rate, radar reflectivity, visibility range, weather codes and instrument performance.

en:
A laser optical disdrometer (Parsivel² , OTT Hydromet) was used to measure hydrometeors by extinction when passing a laser beam. The instrument can classify eight different kinds of precipitation, including rain, hail, snow, drizzle, and hybrid forms.
The dataset contains information on precipitation amount and type for the period of February 7 to March 29 2019 in Laret.

disdrometer

display_name: disdrometer

hydrometeors

display_name: hydrometeors

precipitation

display_name: precipitation

raclets

display_name: raclets

visibility

display_name: visibility


maintainer: Alexandre Buttler

en: climate-change biogeochemisty transplantation-experiment silvopastoral-systems soil

en: Dataset

en: Zip archive of all datasets detailed in study.

en:
Silvopastoral systems are highly productive and combine long-term wood production with annual provision of forage for livestock. In the Swiss Jura Mountains these systems are a key component of the landscape. As in other cold biomes, climate change can potentially accelerate landscape change within these historically sustainable systems.

In order to anticipate the evolution of subalpine wooded pasture ecosystems under future climate and land-use changes, this project focused on the interplay between soil, vegetation and climate. It was aimed at providing experimental evidence for chief ecosystem processes, with emphasis on the quality of the ecosystem services provided. The main interest was placed on vegetation turf resistance to climate change along an unwooded – sparsely wooded - densely wooded pasture gradient (land-use intensity), where plant productivity, diversity and succession along with rates of carbon cycling and microbial activity provided measures of ecosystem functioning at both plot and landscape level.

Experimental transplantation of monolith soil turfs to lower altitudes allowed to simulate soil warming and reduced annual precipitation. In order to simulate a year-round warmer and drier climate the natural climate variation along an altitudinal gradient was used as a proxy. The aim was to simulate realistic climate change scenarios for the second half of the 21st century predicted by the IPCC report and downscaled for Switzerland providing regionalized interpolated projections integrating therein trends for temperature increase and precipitation decrease. By using permanent meteorological stations within the network of the Federal Office of Meteorology and Climatology (MeteoSwiss), we obtained high resolution regional data on the variation of mean annual temperature (MAT) and mean annual precipitation (MAP) in relation to altitude in the Swiss Jura Mountains. We observed a general increase of +0.5 K in MAT and a decrease of -20 % MAP for each 100 m decrease in altitude along the SE slope of the Swiss Jura Mountains. These relationships served for the selection of the transplantation sites such that in comparison to a control site at 1350 m a.s.l. (Combe des Amburnex, N 46°54’, E 6°23’) a +2 K MAT and -20 % MAP was achieved at 1010 m a.s.l. (Saint-George, N 46°52’, E 6°26’), a +4 K MAT and -40 % MAP at 570 m a.s.l., (Arboretum d’Aubonne, N 46°51’, E 6°37’), and a +5 K MAT and -50 % MAP at 395 m a.s.l. (Les Bois Chamblard, N 46°47’, E 6°41’). The two stations at 1010 m a.s.l. and 570 m a.s.l. corresponded to the IPCC scenario A1B for a moderate increase in greenhouse gas emissions and to scenario A2 for a high increase in greenhouse gas emissions, respectively. The station at 395 m a.s.l. was chosen to represent an extreme scenario with climate variables lying at the positive tail distribution of model predictions under the A2 scenario.

Soil cores were assembled into rectangular PVC boxes of 60  80 cm2 size and of 35 cm height. All mesocosms were dug down to surface level into previously prepared trenches in the ground thus preventing lateral heat exchange with the atmosphere. Since at each site the mesocosms were placed in a common garden with no light interception, mesocosms with turfs from the two wooded pastures were shaded from direct sun light to simulate the natural light conditions in the corresponding habitats. Each mesocosm was equipped with a drainage system and was connected to a water tank thus representing a zero potential lysimeter collecting soil solution and precipitation/snowmelt runoff. ECH2O EC-TM sensor probes coupled to Em50 data-loggers (Decagon Devices, Inc., USA) recorded soil temperature and volumetric water content in each mesocosm at the top-soil (0 to -3 cm) every minute and data were averaged over one hour intervals. Climate parameters at each transplantation site were monitored continuously throughout the experiment by means of automated weather stations (Sensor Scope Sàrl, Switzerland), measuring rain precipitation (non-heated tipping bucket gauges) and air temperature and humidity 2 m above the ground surface at one minute intervals.

A list of above- and belowground variables were measured to assess the resilience of biogeochemical processes, plant productivity, tree regeneration, and carbon sequestration for each respective land-use practice. Furthermore, the experimental data were used to improve on (parameterization) the existing spatially explicit, dynamic model WoodPaM and refine the modelʼs climatic and land-use variables so that different scenarios of climate change and land use change could be simulated. Natural and management induced disturbance patterns were incorporated into the model.
The data have been made available within the project CCES Mounted. The climate stations Sensorscope are still in use within the project CLIMARBRE (Wald und Klimawandel, WSL/BAFU).

#References

1. Puissant, J., Cécillon, L., Mills, R.T.E., Robroek, B.J.M. Gavazov, K., De Danieli, S., Spiegelberger, T., Buttler, A., Brun, J.J. 2015. Seasonal influence of climate manipulation on microbial community structure and function in mountain soils. Soil Biology and Biochemistry 80: 296–305.
2. Mills, R., K. Gavazov, T. Spiegelberger, D. Johnson and A. Buttler 2014. Diminished soil functions occur under simulated climate change in a sup-alpine pasture, but heterotrophic temperature sensitivity indicates microbial resilience. Science of the Total Environment, vol. 473–474(0): 465-472.
3. Gavazov, K., Spiegelberger, T. and Buttler, A. 2014. Transplantation of subalpine wood-pasture turfs along a natural climatic gradient reveals lower resistance of unwooded pastures to climate change compared to wooded ones. Oecologia (174) : 1425-1435.
4. Peringer A., Siehoff S., Chételat J., Spiegelberger T., Buttler A. & Gillet F. 2013. Past and future landscape dynamics in pasture-woodlands of the Swiss Jura Mountains under climate change. Ecology and Society, 18, 3: 11. DOI: 10.5751/ES-05600-180311. [online] URL: http://www.ecologyandsociety.org/vol18/iss3/art11/
5. Gavazov, K. S., A. Peringer, A. Buttler, F. Gillet and T. Spiegelberger. 2013. Dynamics of Forage Production in Pasture-woodlands of the Swiss Jura Mountains under Projected Climate Change Scenarios. Ecology and Society 18 (1): 38. [online] URL: http://www.ecologyandsociety.org/vol18/iss1/art38/

biogeochemisty

display_name: biogeochemisty

climate-change

display_name: climate-change

silvopastoral-systems

display_name: silvopastoral-systems

transplantation-experiment

display_name: transplantation-experiment

en: Biogeochemical data from a transplantation experiment of monolith soil turfs along an altitudinal gradient to simulate climate change scenarios


maintainer: Franziska Gerber

en: wrf cryowrf landuse static-data cosmo-wrf topography

media_type: ZIP

en: Static data for WRF - Soiltype bottom

media_type: .txt

en: Example namelist.wps to use with the 1s static data

media_type: .zip

en: Static data for WRF - Soiltype top

en: Static data for WRF - Topography

en: Documentation

media_type: .pdf

en: Documentation of the dataset

en:
Example GEOGRID.TBL to use with the 1s static data;
Note about naming:
* 121 -> 1-2-1 topography smoothing applied to dataset
* 1 -> one smoothing cycle applied to the data (needs to be changed depending on the chosen resolution to avoid too steep slope angles)

en: Static data for WRF - Landuse

en: Static input data (topography, landuse and soiltype) for the WRF preprocessing system WPS is provided for Switzerland and its neighboring countries between 45-49 N and 4-12 E. The data is provided at a resolution of 1 s. Topography is based on the Aster dataset, while landuse is extracted from the Corine landuse dataset. Soil type is set to silty clay loam for the entire domain. This static input data is valid for WRF and CRYOWRF.

cosmo-wrf

display_name: cosmo-wrf

cryowrf

display_name: cryowrf

landuse

display_name: landuse

static-data

display_name: static-data

topography

display_name: topography

wrf

display_name: wrf

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal

en: High resolution static data for WRF over Switzerland


maintainer: Albrecht von Boetticher

en: shallow-landslide hangmuren barrier-impact-simulation murgang interfoam dberisintermixing debris-flow natural-hazard finite-volumes

en: debrisInterMixing for OF-Version 6

en: These are the installation instructions for debrisInterMixing4

en: Installation Instructions for debrisInterMixing-6

en:
This version of debrisInterMixing is based on OpenFOAM Version 4.x and was tested on Ubuntu 18.04.1 LTS.
Please follow the instructions given in ReadMe_debrisInterMixing4.pdf for installation.

en:
Here the updated versions of debrisInterMixing are provided for download. The first OpenFoam-compatible Version 2.3.x are available as supplement to v. Boetticher, A., Turowski, J. M., McArdell,W. B., Rickenmann, D., Hürlimann, M., Scheidl, C., and Kirchner, J. W.: DebrisInterMixing-2.3: A Finite Volume solver for three dimensional debris flow simulations based on two calibration parameters. Part two: model validation with experiments. Geoscientific Model Development, 10, 11: 3963-3978. doi: 10.5194/gmd-10-3963-2017.
DebrisInterMixing is a Volume-of-Fluid based Finite Volume code that accounts for shear-thinning sensitive shares of fine sediment suspension together with pressure-sensitive components of the gravel grains within debris flow mixtures. All model properties can be derived from a material sample except for a grid-sensitive calibration parameter.
For more information, please contact albrecht.vonboetticher@wasserbau.ch.

barrier-impact-simulation

display_name: barrier-impact-simulation

dberisintermixing

display_name: dberisintermixing

debris-flow

display_name: debris-flow

finite-volumes

display_name: finite-volumes

hangmuren

display_name: hangmuren

interfoam

display_name: interfoam

murgang

display_name: murgang

natural-hazard

display_name: natural-hazard

shallow-landslide

display_name: shallow-landslide

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: Three-dimensional debris flow simulation tool debrisInterMixing


envidat-supports-open-science

maintainer: Ionut Iosifescu Enescu

title_for_slug: envidat-supports-open-science

en: wsl envidat research-data-management juypter-notebooks open-science

en: Article as PDF

en:
The article "EnviDat Supports Open Science" originally appeared in WSLintern No. 3 (2020), page 14-15 and it is republished here with permission from the WSLintern editorial team. It contains guidelines for WSL scientists about the main issues behind Open Science and how to pragmatically approach the complexities of doing Open Science with EnviDat’s support.

License: This article is released by WSL and the EnviDat team to the public domain under a Creative Commons 4.0 CC0 "No Rights Reserved" international license. You can reuse the information contained herein in any way you want, for any purposes and without restrictions.

envidat

display_name: envidat

juypter-notebooks

display_name: juypter-notebooks

open-science

display_name: open-science

research-data-management

display_name: research-data-management

wsl

display_name: wsl

en: EnviDat Supports Open Science


data-broedlin-cnp

title_for_slug: data-broedlin-cnp

en: nitrogen forest phosphorus stoichiometry dissolved-organic-matter soil drying-rewetting carbon mineralization

en: Data Broedlin-CNP

format: XLS

en: Data Broedlin-CNP-Release

en: Raw data of C-N-P mobilization experiment from Oi, Oe/Oa, and A horizons of beech forest soils along a nutrient availability gradient.

en: Mircocosm experiment to identify the individual patterns and controls of C, N, and P mobilization in soils under beech forests. Organic and mineral horizons sampled along a nutrient availability gradient in Germany were exposed to either permanent moist conditions or to dry spells in microcosms and quantified the release of inorganic and organic C, N, and P.

carbon

display_name: carbon

dissolved-organic-matter

display_name: dissolved-organic-matter

drying-rewetting

display_name: drying-rewetting

forest

display_name: forest

mineralization

display_name: mineralization

nitrogen

display_name: nitrogen

phosphorus

display_name: phosphorus

soil

display_name: soil

stoichiometry

display_name: stoichiometry

en: Data Broedlin CNP


maintainer: Matthias Haeni

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

en: Site photo of the forest station (OTB)

media_type: image/jpeg

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

mimetype: image/jpeg

en: Site aerial photo (Othmarsingen)

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

en: Site photo of the field station (OTF)

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

en: Field station data (OTF)

en: Data file.

en: Forest station data (OTB)

en: Data plot of the forest station (OTB)

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

en: Data plot of the field station (OTF)

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 Othmarsingen in Switzerland where one station is located within a natural deciduous forest stand (OTB) with European beech (_Fagus sylvatica_; 120-140 yrs) and lime trees (_Tilia sp._; 120-140 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, OTF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Othmarsingen is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal

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


en: reef-fish traits dispersal ecology biodiversity

en: Coral reef grid cells (shape, dbf, etc. files)

en:
Grid cells of 5 × 5°, corresponding to circa 555 × 555 km at the Equator (see Parravicini et al. 2013, Leprieur et al. 2016)

Parravicini, V. et al. 2013. Global patterns and predictors of tropi- cal reef sh species richness. – Ecography 36: 1254–1262.

Leprieur, F. et al. 2016. Plate tectonics drive tropical reef biodiver- sity dynamics. – Nat. Commun. 7: 11461.

en: Input for the Global distribution maps for proportions of species richness for (a) simulated dispersal parameter value (b) observed dispersal-related traits

en: Geographic distribution data (species richness and proportions of high/low dispersal-related traits) on predominantly low dispersing and high dispersing species expected based on the simulations, and those where low- and high- dispersal related traits values are observed for the five investigated traits.

en: Functions used in R scripts in: Donati et al. 2019 "A process-based-model supports an association between  # dispersal and the prevalence of species traits in tropical reef fish assemblages" accepted in Ecography, August 2019

media_type: R

en: Functions for Figures illustrated in Donati et al. 2019 "A process-based-model supports an association between dispersal and the prevalence of species traits in tropical reef fish assemblages" accepted in Ecography, August 2019.

en: Global coast files from https://www.ngdc.noaa.gov/mgg/shorelines/gshhs.html used in the Figures

en: Tropical reef fish trait data

en:
Species trait (i.e. adult body size, home range mobility behaviour, circadian activity and schooling) data gathered from the General Approach to Species Abundance Relationships (GASPAR) database (Kulbicki et al. 2013, Parravicini et al. 2013).

Kulbicki, M. et al. 2013. Global biogeography of reef shes: a hier- archical quantitative delineation of regions. – PLoS One 8: e81847.

Parravicini, V. et al. 2013. Global patterns and predictors of tropi- cal reef sh species richness. – Ecography 36: 1254–1262.

To complement the trait data with Pelagic Larval Duration information refer to the following publication:

Luiz, Osmar J., et al. "Adult and larval traits as determinants of geographic range size among tropical reef fishes." Proceedings of the National Academy of Sciences 110.41 (2013): 16498-16502.

In Donati et al. "A process-based model supports an association between dispersal and the prevalence of species traits in tropical reef fish assemblages" accepted in Ecography in August 2019, we used the PLD gathered from Luiz et al. 2013 as described in the methods - section "Species trait data".

en: Global species distribution of tropical reef fish species

en: Each species corresponds to a "Gaspar_code" gathered from the General Approach to Species Abundance Relationships (GASPAR) database (Kulbicki et al. 2013, Parravicini et al. 2013) and is linked to a specific Fishned ID corresponding to a specific Latitude and Longitude.

en: Supplementary material Appendix 1 Figures illustrated in Donati et al. 2019 "A process-based-model supports an association between dispersal and the prevalence of species traits in tropical reef fish assemblages". accepted in Ecography, August 2019

en: Main text figures

en: R Script used for figures in main text in: Donati et al. 2019: "A process-based-model supports an association between dispersal and the prevalence of species traits in tropical reef fish assemblages" accepted in Ecography, August 2019.

en: Global simulated distribution of species under a range of dispersal parameter values

en:
Global distribution of simulated species richness under a range of dispersal parameter values d
d ∈ [1.75°: 5.45°].

en: Input for spatial congruence test overlap between proportions of low and high dispersal and observed low- and high- dispersal-related traits in assemblages (30-50% threshold). see Table 2.

en: Dispersal parameter value d per simulation starting with a minimum dispersal value, where each species is able to colonise each adjacent cell, and ending with the value of d for which all the extant habitats, including the most remote Pacific islands, have been colonised (d ∈ [1.75°: 5.45°]).

en: Donati et al. main script

en:
Main script used in : Donati et al. 2019 "A process-based-model supports an association between dispersal and the prevalence of species traits in tropical reef fish assemblages"
accepted in Ecography, August 2019

media_type: rds

en: Simulated rates of speciation and extinction under a range of dispersal parameters. Net diversification rates are calculated from the difference between speciation and extinction rates. This data allows the creation of Figure A4 in Supporting information, Appendix 1.

en:
This dataset contains all data and R codes (R Development Core Team, https://www.R-project.org) used in the following publication: Donati GFA, Parravicini V, Leprieur F, Hagen O, Gaboriau T, Heine C, Kulbicki M, Rolland J, Salamin N, Albouy C, Pellissier L. "A process-based model supports an association between dispersal and the prevalence of species traits in tropical reef fish assemblages" accepted by Ecography in August 2019. When using this data and R scripts the above publication should be cited.

The interaction of habitat dynamics with species dispersal abilities could generate gradients
in species diversity and prevalence of life-history and ecological traits, when the latter are associated with dispersal potential. In this dataset, we use a spatial mechanistic model of speciation, extinction and dispersal, constrained by a dispersal parameter. This model allows to simulate the interplay between reef habitat dynamics over the past 140 million years and dispersal, shaping lineage diversification history and global assemblage composition of over 6000 tropical reef fish species. Global trait distribution data of tropical reef fish are used to evaluate the congruence between simulations and observations.

biodiversity

display_name: biodiversity

dispersal

display_name: dispersal

ecology

display_name: ecology

reef-fish

display_name: reef-fish

traits

display_name: traits

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: Simulated and observed prevalence of dispersal-related traits in tropical reef fish assemblages worldwide


snow-depth-mapping

maintainer: Mauro Marty

title_for_slug: snow-depth-mapping

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

en: Snow depth map 20130415

media_type: image/tiff

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

format: TIFF

mimetype: image/tiff

en: Snow depth map 20150415

en: Snow depth map 20160309

en: Snow depth map 20120320

en: Snow depth map 20100416

en: Snow depth map 20160126

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

en: Snow depth map 20160420

en: Snow depth map 20140417

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

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

The work is published in:

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

aerial-imagery

display_name: aerial-imagery

avalanche

display_name: avalanche

dsm

display_name: dsm

image-matching

display_name: image-matching

snow-depth

display_name: snow-depth

snow-hydrology

display_name: snow-hydrology

snow-water-equivalent

display_name: snow-water-equivalent

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal


en: roads geospatial buffer jupyter gis density

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

en: Road Density Calculation (Python Notebook) online

media_type: url

en: Plots

en: Random plot locations

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

buffer

display_name: buffer

density

display_name: density

geospatial

display_name: geospatial

gis

display_name: gis

jupyter

display_name: jupyter

roads

display_name: roads

envidat

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

en: Dataset for OGRS 2018 publication


maintainer: Fachstelle Open Government Data des Kantons Zürich

de: ZH Datasets Visits - 2020 August

media_type: text/csv

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

de: ZH Datasets Visits - 2018 April

de: ZH Datasets Visits - 2020 Februar

de: ZH Datasets Visits - 2019 Dezember

de: ZH Datasets Visits - 2018 Juni

de: ZH Datasets Visits - 2018 Mai

de: ZH Datasets Visits - 2020 November

de: ZH Datasets Visits - 2020 Dezember

de: ZH Datasets Visits - 2019 Juni

de: ZH Datasets Visits - 2018 Februar

de: ZH Datasets Visits - 2018 Oktober

de: ZH Datasets Visits - 2018 August

de: ZH Datasets Visits - 2019 April

de: ZH Datasets Visits - 2019 August

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

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

fachstelle-ogd-kanton-zuerich

de: Fach- und Koordinationsstelle Open Government Data Kanton Zürich

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

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


en: population-evolution torymus-sinensis biological-control castanea-sativa southern-switzerland dryocosmus-kuriphilus pest-invasion

en:
Data has been collected from summer 2011 to 2016.

Main reasons for NA values:

-	D. kuriphilus still not arrived in the site.
-	No galls were found during the field sampling.
-	Site has not been sampled in the correspondent year because of time, weather or money constrains.
-    T. sinensis not found in the galls

Variable description:

Year = sampling year.

Coordinate, elevation, slope, aspect = average site characteristics.

ts_arrival = T. sinensis arrival year.

dk_arrival = D. kuriphilus arrival year.

dk_parasitism_by_ts = D. kuriphilus parasitism rate by T. sinensis. Formula: (no. of T. sinensis/ no. of D. kuriphilus chambers) * 100 at gall level.

dk_infestation = Percentage of attacked buds. Formula: no. of attacked buds / no. of total developed buds*100 (as presented in Kotobuki et al. 1985) at shoot level.

ts_per_bud = number of alive T. sinensis individual calculated at bud level.

dk_per_bud = number of alive D. kuriphilus individual calculated at bud level.

dk_pot_per_bud = overall number (dead and alive) D. kuriphilus individual calculated at bud level.

total_gall_nr_per_bud = average gall number per bud.

chamber_per_galls = average D. kuriphilus chamber number per gall.

For details see the submitted publication with the same name

References
Kotobuki, K., Mori, K. and Sato, Y. (1985) ‘2 methods to estimate the tree damage by chestnut gall wasp Dryocosmus-kuriphilus’, Bulletin of the fruit tree research station A (Yatabe), 2(12), pp. 29–36.

en:
This dataset contains the population evolution of a pest and its biocontrol agent in terms of presence proportion at gall level and absolute number of insects.

The study area extends from the Cuneo region (Piedmont, Italy) to southern Switzerland. In order to provide a complete range of data covering the entire process from the pest arrival to complete biological control by its natural enemy T. sinensis, a space-for-time substitution approach has been adopted so as to create a temporal gradient of the epidemic stages over the whole study area.

The southernmost Swiss sites roughly represent the arrival and establishment of the pest without the presence of the natural enemy, the central ones the early epidemic stage and the epidemic peak, whereas the northern ones the end of the epidemic with the beginning of the biocontrol. The Italian ones represent the beginning of the equilibrium between the two population as well as the situation with stable T. sinensis populations on the long term.

These data are used in the paper entitled: Torymus sinensis local and regional early population dynamics in the Insubrian and Piedmont regions

biological-control

display_name: biological-control

castanea-sativa

display_name: castanea-sativa

dryocosmus-kuriphilus

display_name: dryocosmus-kuriphilus

pest-invasion

display_name: pest-invasion

population-evolution

display_name: population-evolution

southern-switzerland

display_name: southern-switzerland

torymus-sinensis

display_name: torymus-sinensis

education

de: Bildung, Wissenschaft

envidat

de: EnviDat: das Umwelt-Datenportal

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


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

en: Forest station data (LAB)

en: Data file.

en: Site aerial photo (Lausanne)

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

en: Field station data (LAF)

en: Site photo of the field station (LAF)

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

en: Site photo of the forest station (LAB)

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

en: Data plot of the field station (LAF)

media_type: application/pdf

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

en: Data plot of the forest station (LAB)

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 Lausanne in Switzerland where one station is located within a natural mixed forest stand (LAB) with European beech (_Fagus sylvatica_; 160-170 yrs), European silver fir (_Abies alba_; 160-170 yrs) and Norway spruce (_Picea abies_; 160-170 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, LAF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Lausanne 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: Lausanne, Switzerland: Long-term forest meteorological data from the Long-term Forest Ecosystem Research Programme (LWF), from 1996 onwards


maintainer: Giulia Mazzotti

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

en: Snow depth data open sites

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

en: Meteo data to drive FSM2 model

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

en: Canopy data

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

en: Coordinates data

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

en: Snow depth data forest sites

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

en: Grid point nomenclature

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

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

forest-snow

display_name: forest-snow

forest-structure

display_name: forest-structure

snow-distribution

display_name: snow-distribution

snow-energy-balance

display_name: snow-energy-balance

snow-modelling

display_name: snow-modelling

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal

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

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


maintainer: Frank Techel

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

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

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

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

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

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

avalanche-accident

display_name: avalanche-accident

avalanche-accident-statistics

display_name: avalanche-accident-statistics

avalanche-fatalities

display_name: avalanche-fatalities

avalanche-statistics

display_name: avalanche-statistics

long-term-trends

display_name: long-term-trends

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


maintainer: EnviDat Support

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

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

Running the code requires an installation of FEniCS via docker.

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

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

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

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

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

numerical-model

display_name: numerical-model

pattern-formation

display_name: pattern-formation

python

display_name: python

snow

display_name: snow

vapor-transport

display_name: vapor-transport

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


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

en: Dataset

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

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


en: radiation davos shortwave-radiation weisfluhjoch longwave-radiation

en: DATA ACCESS

media_type: SMET

en: ASRB radiation station at the Weissfluhjoch versuchsfeld.

en: Parameter file

en: Description of ASRB parameters.

en: Metadata

en: Processing doc

en: Description of processing code that was ported to R by P. Frei (2016).

en:
Incoming and outgoing shortwave and longwave 2 min radiation measurements at the Weissfluhjoch research site, Davos, CH. The experimental site at the Weissfluhjoch (WFJ, 46.83 N, 9.81 E) is located at an altitude of 2540 m in the Swiss Alps near Davos. During the winter months, almost all precipitation falls as snow at this altitude. As a consequence, a continuous seasonal snow cover builds up every winter, with a maximum snow height ranging from 153–366 cm over the period 1934–2012. The measurement site is located in an almost flat part of a southeast oriented slope.

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

davos

display_name: davos

longwave-radiation

display_name: longwave-radiation

radiation

display_name: radiation

shortwave-radiation

display_name: shortwave-radiation

weisfluhjoch

display_name: weisfluhjoch

education

en: Education and science

en: ASRB_WFJVF: Shortwave and longwave radiation measurements (2 min) at the Weissfluhjoch research site, Davos