rm: Resultats finals da la votaziun federala "Volksinitiative vom 18. März 2019 «Ja zum Tier- und Menschenversuchsverbot – Ja zu Forschungswegen mit Impulsen für Sicherheit und Fortschritt»", 13 da favrer 2022, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Volksinitiative vom 18. März 2019 «Ja zum Tier- und Menschenversuchsverbot – Ja zu Forschungswegen mit Impulsen für Sicherheit und Fortschritt»", 13 février 2022, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Volksinitiative vom 18. März 2019 «Ja zum Tier- und Menschenversuchsverbot – Ja zu Forschungswegen mit Impulsen für Sicherheit und Fortschritt»", 13. Februar 2022, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Volksinitiative vom 18. März 2019 «Ja zum Tier- und Menschenversuchsverbot – Ja zu Forschungswegen mit Impulsen für Sicherheit und Fortschritt»", 13 febbraio 2022, Kanton Zug, suddivisi per municipalit.

staatskanzlei-zug

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


maintainer: Staatskanzlei Zug

fr: federal votation

de: national abstimmung

it: nazionale votazione

label: Description du format

label: Descripziun dal format

label: Descrizione del formato

label: Formatbeschreibung

state: active

type: dataset

media_type: application/json

format: JSON

mimetype: application/json

identifier: json

media_type: text/csv

format: CSV

mimetype: text/csv

identifier: csv

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

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

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

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

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

de: Staatskanzlei Zug

political_level: canton

kanton-zug

capacity: public

type: organization

approval_status: approved

key: guid

key: uri

value: ZG-Kt - Staatskanzlei - DCAT Harvester


fr: votation cantonal

de: kantonal abstimmung

it: cantonale votazione

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

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

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

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

cantonal

display_name: cantonal

cantonale

display_name: cantonale

kantonal

display_name: kantonal

plaun-chantunal

display_name: plaun-chantunal


de: abstimmung national

it: votazione nazionale

rm: Resultats finals da la votaziun federala "Volksinitiative vom 26. Februar 2008 «gegen die Abzockerei»", 3 da mars 2013, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Volksinitiative vom 26. Februar 2008 «gegen die Abzockerei»", 3 mars 2013, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Volksinitiative vom 26. Februar 2008 «gegen die Abzockerei»", 3. März 2013, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Volksinitiative vom 26. Februar 2008 «gegen die Abzockerei»", 3 marzo 2013, Kanton Zug, suddivisi per municipalit.


oereb-kataster-datensammelstellen

geography

fr: Géographie

de: Geographie

en: Geography

it: Geografia

territory

fr: Territoire et environnement

de: Raum und Umwelt

en: Territory and environment

it: Territorio e ambiente

title_for_slug: oereb-kataster-datensammelstellen

fr: geodonnees administration

en: geodata administration

it: geodati amministrazione

label: geocat.ch permalink

spatial: Kanton Thurgau (TG)

de: WMS

format: WMS

de: WFS

format: WFS

de: Permalink opendata.swiss

format: SERVICE

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

kanton-thurgau

fr: Canton de Thurgovie

de: Kanton Thurgau

en: Canton of Thurgau

it: Cantone di Turgovia

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

value: TG-Kt - Geocat Harvester

de: OEREB-Kataster Datensammelstellen


fr: votation federal

rm: Resultats finals da la votaziun federala "Bundesbeschluss vom 13. März 2018 über die Velowege sowie die Fuss- und Wanderwege (direkter Gegenentwurf zur Volksinitiative «Zur Förderung der Velo-, Fuss- und Wanderwege [Velo-Initiative]»)", 23 da settember 2018, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Bundesbeschluss vom 13. März 2018 über die Velowege sowie die Fuss- und Wanderwege (direkter Gegenentwurf zur Volksinitiative «Zur Förderung der Velo-, Fuss- und Wanderwege [Velo-Initiative]»)", 23 septembre 2018, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Bundesbeschluss vom 13. März 2018 über die Velowege sowie die Fuss- und Wanderwege (direkter Gegenentwurf zur Volksinitiative «Zur Förderung der Velo-, Fuss- und Wanderwege [Velo-Initiative]»)", 23. September 2018, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Bundesbeschluss vom 13. März 2018 über die Velowege sowie die Fuss- und Wanderwege (direkter Gegenentwurf zur Volksinitiative «Zur Förderung der Velo-, Fuss- und Wanderwege [Velo-Initiative]»)", 23 settembre 2018, Kanton Zug, suddivisi per municipalit.

staatskanzlei-zug

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


rm: Resultats finals da la votaziun federala "Änderung vom 26. September 2014 des Bundesgesetzes über Radio und Fernsehen", 14 da zercladur 2015, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Änderung vom 26. September 2014 des Bundesgesetzes über Radio und Fernsehen", 14 juin 2015, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Änderung vom 26. September 2014 des Bundesgesetzes über Radio und Fernsehen", 14. Juni 2015, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Änderung vom 26. September 2014 des Bundesgesetzes über Radio und Fernsehen", 14 giugno 2015, Kanton Zug, suddivisi per municipalit.

politics

de: Politik


de: national abstimmung

rm: Resultats finals da la votaziun federala "Volksinitiative vom 16. November 2012 «Für den geordneten Ausstieg aus der Atomenergie (Atomausstiegsinitiative)»", 27 da november 2016, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Volksinitiative vom 16. November 2012 «Für den geordneten Ausstieg aus der Atomenergie (Atomausstiegsinitiative)»", 27 novembre 2016, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Volksinitiative vom 16. November 2012 «Für den geordneten Ausstieg aus der Atomenergie (Atomausstiegsinitiative)»", 27. November 2016, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Volksinitiative vom 16. November 2012 «Für den geordneten Ausstieg aus der Atomenergie (Atomausstiegsinitiative)»", 27 novembre 2016, Kanton Zug, suddivisi per municipalit.

staatskanzlei-zug

de: Staatskanzlei Zug


fr: election cantonal

de: kantonal wahl

it: cantonale elezione

rm: Resultats finals da l'elecziun chantunala "Ständeratswahl 2019, 2. Wahlgang", 17 da november 2019, Kanton Zug, resultats da tut las candidatas e da tut ils candidats tenor vischnancas.

fr: Résultats finaux de l'élection cantonale "Ständeratswahl 2019, 2. Wahlgang", 17 novembre 2019, Kanton Zug, répartis par municipalités et par candidats.

de: Schlussresultate der kantonalen Wahl "Ständeratswahl 2019, 2. Wahlgang", 17. November 2019, Kanton Zug, aufgeschlüsselt nach Kandidaten und Gemeinden.

it: Risultati finali della elezione cantonale "Ständeratswahl 2019, 2. Wahlgang", 17 novembre 2019, Kanton Zug, suddivisi per municipalit e candidati.

election

display_name: election

elecziun

display_name: elecziun

elezione

display_name: elezione

wahl

display_name: wahl

rm: Ständeratswahl 2019, 2. Wahlgang

fr: Ständeratswahl 2019, 2. Wahlgang

de: Ständeratswahl 2019, 2. Wahlgang

it: Ständeratswahl 2019, 2. Wahlgang


leitungskataster-datensammelstellen

construction

fr: Construction, logement

de: Bau- und Wohnungswesen

en: Construction and housing

it: Costruzione e abitazione

geography

de: Geographie

title_for_slug: leitungskataster-datensammelstellen

de: WMS

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

de: Leitungskataster Datensammelstellen


de: abstimmung kantonal

it: votazione cantonale

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

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

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

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


fr: federal votation

de: abstimmung national

it: nazionale votazione

rm: Resultats finals da la votaziun federala "Änderung vom 25. September 2015 des Asylgesetzes (AsylG) (BBl 2015 7181)", 5 da zercladur 2016, Kanton Zug, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Änderung vom 25. September 2015 des Asylgesetzes (AsylG) (BBl 2015 7181)", 5 juin 2016, Kanton Zug, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Änderung vom 25. September 2015 des Asylgesetzes (AsylG) (BBl 2015 7181)", 5. Juni 2016, Kanton Zug, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Änderung vom 25. September 2015 des Asylgesetzes (AsylG) (BBl 2015 7181)", 5 giugno 2016, Kanton Zug, suddivisi per municipalit.

politics

fr: Politique

it: Politica


territory

de: Raum und Umwelt

de: landeskarte gis-geografisches-informationssystem gelandedarstellung verkehrsnetz bgdi-bundesgeodaten-infrastruktur gewasser vektor grenze relief kartographie vegetation topografie karte

spatial: Landeskarte 1:1'000'000

fr: Download (ZIP-File)

de: Download (ZIP-File)

en: Download (ZIP-File)

it: Download (ZIP-File)

format: ZIP

fr: Swiss Map Vector 1000 est la carte nationale suisse 1:1 000 000 sous forme vectorielle. Elle offre une représentation sommaire des principaux axes de circulation, localités, eaux, sommets et frontières. La représentation des terrains se fait par données matricielles (Raster). Un relief et une représentation hypsométrique sont à disposition. Elle représente la Suisse et les pays limitrophes de Lyon à Salzburg et de Strasbourg à Gênes. Les données vectorielles proviennent du modèle cartographique numérique qui est aussi utilisé pour l'élaboration des cartes imprimées et le Swiss Map Raster. Les contenus sont classés par thème et peuvent être édités selon les classes ou les objets. La représentation est très semblable à celle de la carte nationale imprimée.

de: Swiss Map Vector 1000 ist die Landeskarte der Schweiz 1:1 Million in vektorieller Form. Sie bietet eine übersichtliche Darstellung der wichtigsten Verkehrsachsen, Ortschaften, Gewässer, Gipfel und Grenzen. Die Geländedarstellung erfolgt mit Rasterdaten. Es stehen ein Relief wie auch eine hypsometrische Darstellung zur Verfügung. Abgebildet wird die Schweiz und das angrenzende Ausland von Lyon bis Salzburg und von Strassburg bis Genua. Die vektoriellen Daten entstammen dem digitalen kartografischen Modell, welches auch für die Ableitung der gedruckten Karte und der Swiss Map Raster (Pixelkarte) genutzt wird. Die Inhalte sind thematisch gegliedert und können klassen- wie auch objektbezogen editiert werden. Die Darstellung ist derjenigen der gedruckten Landeskarte sehr ähnlich.

en: Swiss Map Vector 1000 is the Swiss national 1:1,000,000 scale map in vector format. It provides a clear depiction of the main traffic axes, residential areas, bodies of water, summits and borders. Terrain is depicted using raster data. Relief and hypsometric depictions are available. Switzerland and neighbouring countries are shown from Lyon to Salzburg and from Strasbourg to Genoa. Vector data comes from the digital cartographic model, which is also used for the derivation of printed maps, and the Swiss Map Raster. Contents are structured according to subject matter and can be edited by class or by object. Depiction is very similar to that of the printed national map.

it: Swiss Map Vector 1000 è la carta nazionale della Svizzera 1:1'000'000 in forma vettoriale. Offre una rappresentazione chiara di assi viari, località, acque, cime e confini principali. La rappresentazione dei terreni avviene con i dati reticolari. È disponibile una rappresentazione dei rilievo e ipsometrica. La rappresentazione comprende la Svizzera e i Paesi confinanti da Lione a Salisburgo e da Strasburgo a Genova.I dati vettoriali derivano dal modello cartografico digitale, utilizzato anche per il reparto delle carte stampate e per Swiss Map Raster. I contenuti sono organizzati per temi e possono essere modificati in base alla classe e all'oggetto. La rappresentazione è molto simile a quella della carta nazionale stampata.

name: Bundesamt für Landestopografie swisstopo

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).

political_level: confederation

value: Swisstopo - Geocat Harvester

fr: Swiss Map Vector 1000, carte nationale vectorielle de la Suisse 1:1 million

de: Swiss Map Vector 1000, vektorielle Landeskarte der Schweiz 1:1 Million

en: Swiss Map Vector 1000, Swiss national vector map 1:1 Million

it: Swiss Map Vector 1000, carta geografica vettoriale della Svizzera 1:1 milione


geography

fr: Géographie

it: Geografia

fr: Territoire et environnement

it: Territorio e ambiente

de: gis-geografisches-informationssystem landeskarte verkehrsnetz gelandedarstellung bgdi-bundesgeodaten-infrastruktur vegetation vektor relief gewasser kartographie grenze geografische-bezeichnungen topografie karte

spatial: Landeskarte 1:500'000

fr: Download ZIP-File

de: Download ZIP-File

en: Download ZIP-File

it: Download ZIP-File

fr: Swiss Map Vector 500 est la carte nationale suisse 1:500 000 sous forme vectorielle. Elle comprend le réseau de chemins de fer, toutes les autoroutes, semi-autoroutes, routes de grand transit et de liaison, une représentation fortement simplifiée des localités et des terrains ainsi que les noms des principaux objets. Des données Raster pour le relief et les falaises complètent les données vectorielles. Elle représente la Suisse et les pays limitrophes. Les données vectorielles proviennent du modèle cartographique numérique qui est aussi utilisé pour l'élaboration des cartes imprimées et le Swiss Map Raster. Les contenus sont classés par thème et peuvent être édités selon les classes ou les objets. La représentation est très semblable à celle de la carte nationale imprimée.

de: Swiss Map Vector 500 ist die Landeskarte der Schweiz 1:500‘000 in vektorieller Form. Sie beinhaltet das Eisenbahnnetz, alle Autobahnen, Autostrassen, Durchgangs- und Verbindungsstrassen, eine stark vereinfachte Siedlungs- und Geländedarstellung sowie die Namen der wichtigsten Objekte. Rasterdaten für Relief und Fels ergänzen die vektoriellen Daten. Abgebildet wird die Schweiz und das grenznahe Ausland. Die vektoriellen Daten entstammen dem digitalen kartografischen Modell, welches auch für die Ableitung der gedruckten Karte und der Swiss Map Raster (Pixelkarte) genutzt wird. Die Inhalte sind thematisch gegliedert und können klassen- wie auch objektbezogen editiert werden. Die Darstellung ist derjenigen der gedruckten Landeskarte sehr ähnlich.

en: Swiss Map Vector 500 is the Swiss national 1:500,000 scale map in vector format. It includes the railway network, all highways, semi-highways, transit and link roads, a highly simplified depiction of residential areas and terrains and the names of principal objects. Raster data for relief and rock features complete the vector data. Switzerland and neighbouring countries are shown. Vector data comes from the digital cartographic model, which is also used for the derivation of printed maps, and the Swiss Map Raster. Contents are structured according to subject matter and can be edited by class or by object. Depiction is very similar to that of the printed national map.

it: Swiss Map Vector 500 è la carta nazionale della Svizzera 1:500'000 in forma vettoriale. Contiene la rete ferroviaria, tutte le autostrade, le superstrade, le strade di scorrimento e collegamento, una rappresentazione molto semplificata di insediamenti e terreni e i nomi dei principali oggetti. I dati reticolari per rilievi e rocce completano i dati vettoriali. La rappresentazione riguarda la Svizzera e i Paesi confinanti. I dati vettoriali derivano dal modello cartografico digitale, utilizzato anche per il reparto delle carte stampate e per Swiss Map Raster. I contenuti sono organizzati per temi e possono essere modificati in base alla classe e all'oggetto. La rappresentazione è molto simile a quella della carta nazionale stampata.

de: Bundesamt für Landestopografie swisstopo

fr: Swiss Map Vector 500, carte nationale vectorielle de la Suisse 1:500 000

de: Swiss Map Vector 500, vektorielle Landeskarte der Schweiz 1:500 000

en: Swiss Map Vector 500, Swiss national vector map 1:500 000

it: Swiss Map Vector 500, carta geografica vettoriale della Svizzera 1:500 000


de: Geographie

de: relief grenze kartographie gewasser vektor vegetation verkehrsnetz landeskarte gis-geografisches-informationssystem gelandedarstellung bgdi-bundesgeodaten-infrastruktur geografische-bezeichnungen topografie karte

spatial: Schweiz

format: HTML

fr: Swiss Map Vector 25 est la carte nationale suisse 1:25 000 sous forme vectorielle. Elle comprend tous les réseaux ferroviaires, routiers et de chemins complets et différenciés, une représentation détaillée des localités, des eaux, de la végétation et des terrains ainsi qu'une annotation complète. Des données Raster pour le relief et les falaises complètent les données vectorielles. Les données vectorielles proviennent du modèle cartographique numérique qui est aussi utilisé pour l'élaboration des cartes imprimées et le « Swiss Map Raster ». Les contenus sont classés par thème et peuvent être édités selon les classes ou les objets. La représentation est très semblable à celle de la carte nationale imprimée.

de: Swiss Map Vector 25 ist die Landeskarte der Schweiz 1:25‘000 in vektorieller Form. Sie beinhaltet das vollständige und differenzierte Bahn-, Strassen- und Wegnetz, eine detaillierte Siedlungs-, Gewässer-, Vegetations- und Geländedarstellung sowie eine umfangreiche Beschriftung. Rasterdaten für Relief und Fels ergänzen die vektoriellen Daten. Die vektoriellen Daten entstammen dem digitalen kartografischen Modell, welches auch für die Ableitung der gedruckten Karten und der Swiss Map Raster (Pixelkarte) genutzt wird. Die Inhalte sind thematisch gegliedert und können klassen- wie auch objektbezogen editiert werden. Die Darstellung ist derjenigen der gedruckten Landeskarte sehr ähnlich.

en: Swiss Map Vector 25 is the Swiss national 1:25,000 scale map in vector format. It includes all complete and differentiated rail, road and path networks, a detailed representation of residential areas, bodies of water, vegetation and terrains complete with annotations. Raster data for relief and rock features complete the vector data. Vector data comes from the digital cartographic model, which is also used for the derivation of printed maps, and the Swiss Map Raster. Contents are structured according to subject matter and can be edited by class or by object. Depiction is very similar to that of the printed national map.

it: Swiss Map Vector 25 è la carta nazionale della Svizzera 1:25'000 in forma vettoriale. Contiene l'intera rete ferroviaria, stradale e viaria differenziata, una rappresentazione dettagliata di insediamenti, acque, vegetazione e terreni e una dicitura dettagliata. I dati reticolari per rilievi e rocce completano i dati vettoriali. I dati vettoriali derivano dal modello cartografico digitale, utilizzato anche per il reparto delle carte stampate e per Swiss Map Raster. I contenuti sono organizzati per temi e possono essere modificati in base alla classe e all'oggetto. La rappresentazione è molto simile a quella della carta nazionale stampata.

fr: Swiss Map Vector 25, carte nationale vectorielle de la Suisse 1:25 000

de: Swiss Map Vector 25, vektorielle Landeskarte der Schweiz 1:25 000

en: Swiss Map Vector 25, Swiss national vector map 1:25 000

it: Swiss Map Vector 25, carta geografica vettoriale della Svizzera 1:25 000


de: relief grenze vektor kartographie gewasser vegetation gelandedarstellung landeskarte verkehrsnetz gis-geografisches-informationssystem inspire bgdi-bundesgeodaten-infrastruktur geografische-bezeichnungen topografie karte

fr: Swiss Map Vector 10 est la carte nationale suisse 1:10 000 sous forme vectorielle. Elle comprend tous les réseaux ferroviaires, routiers et de chemins complets et différenciés, une représentation détaillée des localités, des eaux, de la végétation et des terrains ainsi qu'une annotation complète. Des données Raster pour le relief et les falaises complètent les données vectorielles. Le périmètre de la carte comprend le territoire Suisse et la principauté du Liechtenstein. La mise à jour est faite annuellement sur la base actualisée du modèle topographique du paysage MTP de swisstopo. Les contenus sont classés par thème et peuvent être édités selon les classes ou les objets. La représentation est très semblable à celle de la carte nationale imprimée.

de: Swiss Map Vector 10 ist die Landeskarte der Schweiz 1:10‘000 in vektorieller Form. Sie beinhaltet das vollständige und differenzierte Bahn-, Strassen- und Wegnetz, eine detaillierte Siedlungs-, Gewässer-, Vegetations- und Geländedarstellung sowie eine umfangreiche Beschriftung. Rasterdaten für Relief und Fels ergänzen die vektoriellen Daten. Der Kartenperimeter umfasst das Landesgebiet der Schweiz und des Fürstentums Liechtenstein. Die Nachführung erfolgt jährlich basierend auf der aktuellsten Version des Topografischen Landschaftsmodells TLM von swisstopo. Die Inhalte sind thematisch gegliedert und können klassen- wie auch objektbezogen editiert werden. Die Darstellung ist derjenigen der gedruckten Landeskarte sehr ähnlich.

en: Swiss Map Vector 10 is the Swiss national 1:10,000 scale map in vector format. It includes all complete and differentiated rail, road and path networks, a detailed representation of residential areas, bodies of water, vegetation and terrains complete with annotations. Raster data for relief and rock features complete the vector data. The perimeter of the map covers the national territory of both Switzerland and the Principality of Liechtenstein. Updates are made every year based on the latest version of swisstopo's topographic landscape model (TLM). Contents are structured according to subject matter and can be edited by class or by object. Depiction is very similar to that of the printed national map.

it: Swiss Map Vector 10 è la carta nazionale della Svizzera 1:10'000 in forma vettoriale. Contiene l'intera rete ferroviaria, stradale e viaria differenziata, una rappresentazione dettagliata di insediamenti, acque, vegetazione e terreni e una dicitura dettagliata. I dati reticolari per rilievi e rocce completano i dati vettoriali. Il perimetro della carta comprende il territorio nazionale della Svizzera e del Principato del Liechtenstein. L'aggiornamento ha luogo sulla base della versione più aggiornata del modello topografico del paesaggio TLM di swisstopo. I contenuti sono organizzati per temi e possono essere modificati in base alla classe e all'oggetto. La rappresentazione è molto simile a quella della carta nazionale stampata.

name: Bundesamt für Landestopografie swisstopo, Kartografie

fr: Swiss Map Vector 10, carte nationale vectorielle de la Suisse 1:10 000

de: Swiss Map Vector 10, vektorielle Landeskarte der Schweiz 1:10 000

en: Swiss Map Vector 10, Swiss national vector map 1:10 000

it: Swiss Map Vector 10, carta geografica vettoriale della Svizzera 1:10 000


maintainer: Fachstelle für OGD Basel-Stadt

de: json

de: Wahl eines Mitglieds des Gerichts für fürsorgerische Unterbringungen (json)

license: CC BY 3.0 CH

de: csv

de: Wahl eines Mitglieds des Gerichts für fürsorgerische Unterbringungen (csv)

de: Dieser Datensatz zeigt die Resultate des 1. Wahlgangs der Wahl eines Mitglieds des Gerichts für fürsorgerische Unterbringung vom 9. Mai 2021.

legislation

fr: Législation

de: Gesetzgebung

en: Legislation

it: Legislazione

politics

de: Politik

en: Politics

kanton-basel-stadt

fr: Canton de Bâle-Ville

de: Kanton Basel-Stadt

en: Canton of Basel-City

it: Cantone di Basilea-Città

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

value: BS Kanton Stadt - DCAT Harvester


maintainer: OGD-Koordinationsstelle Kanton Thurgau

de: Lotteriefonds Kanton Thurgau: Zugesprochene Beiträge (csv)

license: CC BY 4.0

de: Lotteriefonds Kanton Thurgau: Zugesprochene Beiträge (json)

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

culture

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

de: Kultur, Medien, Informationsgesellschaft, Sport

en: Culture, media, information society, sport

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

kanton-thurgau

fr: Canton de Thurgovie

de: Kanton Thurgau

en: Canton of Thurgau

it: Cantone di Turgovia

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

value: TG-Kt DCAT Harvester


name: Fachstelle Open Government Data des Kantons Zürich

label: DCAT-AP CH – The Swiss Application Profile for Data Portals and Catalogues

label: Datenkatalog

de: API-Endpoint für Datensätze im Metadatenkatalog des Kantons Zürich

de: Enthält alle aktuell im Metadatenkatalog des Kantons Zürich enthaltenen Datensätze mit ihren Metadaten: (1) häufig nachgefragte Excel-Tabellen, (2) Indikatoren aus dem Gemeindeporträt, (3) Publikationen des Statistischen Amts sowie (4) offene Behördendaten des Kantons Zürich (ausgenommen offene Geodaten).

de: Enthält alle aktuell im Metadatenkatalog des Kantons Zürich enthaltenen Datensätze mit ihren Metadaten. Folgt dem Metadaten-Standard 'DCAT-AP CH v1' (eCH-0200).

national-economy

fr: Economie nationale

de: Volkswirtschaft

en: National economy

it: Economia

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.

value: ZH-Kt Fachstelle OGD - DCAT Harvester

de: Web Service des Metadatenkatalogs des Kantons Zürich


de: platzierung pflegekinder pflegefamilie

de: json

de: Pflegefamilien im Kanton Thurgau (json)

de: csv

de: Pflegefamilien im Kanton Thurgau (csv)

de: Der Datensatz enthält die Anzahl der Pflegefamilien im Kanton Thurgau nach Platzierungssituation und einem etwaigen verwandtschaftlichen Verhältnis zum Pflegekind.Datenstand jeweils der 31.12

pflegefamilie

display_name: pflegefamilie

pflegekinder

display_name: pflegekinder

platzierung

display_name: platzierung

population

fr: Population

de: Bevölkerung

en: Population

it: Popolazione

social-security

fr: Protection sociale

de: Soziale Sicherheit

en: Social security

it: Sicurezza sociale

de: Pflegefamilien im Kanton Thurgau


maintainer: Statistisches Amt des Kantons Zürich, Data Shop

de: bauland bezirke bodenpreise kantonzuerich gemeinden

label: Infoseite zu Bodenpreise inkl. interaktivem Rechner

de: Baulandpreis Modell (Median) [Fr./m2]

de: Bodenpreismodell: Median der Modellpreise von unbebautem Land der Wohn- und Mischzone inkl. Abbruchliegenschaften. Die Modellpreise werden jährlich für den gesamten ausgewiesenen Zeitraum neu berechnet und aktualisiert.

bauland

display_name: bauland

bezirke

display_name: bezirke

bodenpreise

display_name: bodenpreise

gemeinden

display_name: gemeinden

kantonzuerich

display_name: kantonzuerich

prices

fr: Prix

de: Preise

en: Prices

it: Prezzi

statistisches-amt-kanton-zuerich

de: Statistisches Amt Kanton Zürich

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

value: ZH-Kt Statistisches Amt - DCAT Harvester


de: platzierung pflegefamilie wohnsitz pflegekinder

de: Pflegekinder im Kanton Thurgau (csv)

de: Pflegekinder im Kanton Thurgau (json)

de: Der Datensatz enthält die Anzahl der im Kanton Thurgau platzierten Pflegekinder nach Alterskategorie, Geschlecht, kantonalem oder ausserkantonalem gesetzlichen Wohnsitz und Art der Platzierung.Datenstand jeweils der 31.12

wohnsitz

display_name: wohnsitz

kanton-thurgau

de: Kanton Thurgau

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

de: Pflegekinder im Kanton Thurgau


maintainer: Thomas Fricker

de: baueingabe bewilligungsverfahren

de: json

de: Baugesuche und Baubewilligungen nach Gebäudeart, Gemeinde und Jahr (ab 1991) (json)

de: csv

de: Baugesuche und Baubewilligungen nach Gebäudeart, Gemeinde und Jahr (ab 1991) (csv)

de: Achtung: Die Daten können sich rückwirkend ändern! Die Gemeinde Liesberg wird aufgesplittet nach den beiden Ortschaften Liesberg und Liesberg Dorf ausgewiesen.

baueingabe

display_name: baueingabe

bewilligungsverfahren

display_name: bewilligungsverfahren

construction

fr: Construction, logement

de: Bau- und Wohnungswesen

en: Construction and housing

it: Costruzione e abitazione

kanton-basel-landschaft

fr: Canton de Bâle-Campagne

de: Kanton Basel-Landschaft

en: Canton of Basel-Country

it: Cantone di Basilea-Campagna

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

value: BL - DCAT


geography

fr: Géographie

de: Geographie

en: Geography

it: Geografia

territory

fr: Territoire et environnement

de: Raum und Umwelt

en: Territory and environment

it: Territorio e ambiente

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


fr: election municipal

de: kommunal wahl

it: elezione comunale

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

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

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

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

comunale

display_name: comunale

kommunal

display_name: kommunal

municipal

display_name: municipal

plaun-communal

display_name: plaun-communal

politics

fr: Politique

de: Politik

it: Politica

staatskanzlei-zug

de: Staatskanzlei Zug

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

rm: Kantonsratswahl 2018 Gde Cham

fr: Kantonsratswahl 2018 Gde Cham

de: Kantonsratswahl 2018 Gde Cham

it: Kantonsratswahl 2018 Gde Cham


maintainer: Fachstelle Open Government Data des Kantons Zürich

label: Fachausschuss für offene Behördendaten: Standards

label: Repository: Formale Leitlinien zur Datenpublikation des Kantons Zürich

de: Leitlinien des Kantons Zürich für einfach nutzbare Behördendaten (Version 1.0)

media_type: text/html

de: Version 1.0 in Kraft seit dem 16. Dezember 2021.

mimetype: text/html

de: Handlungsleitende Normen, um offene Behördendaten ('Open Government Data', OGD) bereitzustellen, die einfach nutzbar sind. Der Fachausschuss Open Government Data des Kantons Zürich verwaltet die Normen gemäss der Maxime, den Bedürfnissen der Nutzenden zweckmässig und wirtschaftlich zu entsprechen. Die Fach- und Koordinationsstelle Open Government Data nimmt Feedback (Hinweise, Wünsche und Fragen) zu den Leitlinien entgegen. Entweder als 'Issue' im Repository (verlinkt unter 'Weitere Informationen') oder via E-Mail (verlinkt unter 'Kontakt'). Im Austausch mit den Nutzenden klärt sie deren Bedürfnisse, berät mit den Datenverwaltenden ('Data Custodians') mögliche Lösungen und schlägt diese vierteljährlich dem Fachausschuss zur Inkraftsetzung vor.

national-economy

de: Volkswirtschaft

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.


maintainer: EnviDat Support

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

en: climate realizations

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

climate-change-impact

display_name: climate-change-impact

cryosphere

display_name: cryosphere

natural-climate-variability

display_name: natural-climate-variability

rain-on-snow

display_name: rain-on-snow

snow-water-equivalent

display_name: snow-water-equivalent

uncertainty

display_name: uncertainty

education

fr: Education, science

de: Bildung, Wissenschaft

en: Education and science

it: Formazione e scienza

envidat

fr: EnviDat: le portail de données environnementales

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

it: EnviDat: il portale dei dati ambientali

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

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

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

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

political_level: other

value: Envidat Harvester

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


fr: votation cantonal

de: abstimmung kantonal

it: votazione cantonale

rm: Resultats finals da la votaziun chantunala "Änderung vom 3. Dezember 2015 des Gesetzes über die Organisation der Gerichte (Gerichtsorganisationsgesetz)", 5 da zercladur 2016, Kanton Basel-Landschaft, ordinà tenor vischnancas.

fr: Résultats finaux du vote cantonal "Änderung vom 3. Dezember 2015 des Gesetzes über die Organisation der Gerichte (Gerichtsorganisationsgesetz)", 5 juin 2016, Kanton Basel-Landschaft, répartis par municipalités.

de: Schlussresultate der kantonalen Abstimmung "Änderung vom 3. Dezember 2015 des Gesetzes über die Organisation der Gerichte (Gerichtsorganisationsgesetz)", 5. Juni 2016, Kanton Basel-Landschaft, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione cantonale "Änderung vom 3. Dezember 2015 des Gesetzes über die Organisation der Gerichte (Gerichtsorganisationsgesetz)", 5 giugno 2016, Kanton Basel-Landschaft, suddivisi per municipalit.

abstimmung

display_name: abstimmung

cantonal

display_name: cantonal

cantonale

display_name: cantonale

kantonal

display_name: kantonal

plaun-chantunal

display_name: plaun-chantunal

votation

display_name: votation

votazione

display_name: votazione

votaziun

display_name: votaziun

politics

en: Politics

kanton-basel-landschaft

de: Kanton Basel-Landschaft

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

value: BL - Abstimmungen


lwf-tea-bag-sites

maintainer: Marcus Schaub

title_for_slug: lwf-tea-bag-sites

en: decomposition modeling forest roiboos verification green-tea litter carbon tea-bag

en: Site Information

en: Descriptive information on sites

en:
Decomposition of plant litter is a key process for the transfer of carbon and nutrients in ecosystems. Carbon contained in the decaying biomass is released to the atmosphere as respired CO2, and may contribute to global warming. Litterbag studies have been used to improve our knowledge of the drivers of litter decomposition, but they lack comparability because litter quality is plant species-specific. The use of commercial tea bags as a standard substrate was suggested in order to harmonize studies, where green tea and rooibos represent more labile and more recalcitrant C compounds as surrogates of local litter.
The tea bag approach was implemented on eight sites of the Swiss long-term Forest Ecosystem Research (LWF) network (https://www.wsl.ch/LWF). This allowed us to take advantage from the existing infrastructure and data from a previous litterbag study with local litter. In Beatenberg and Schaenis, additional elevation transects were established (1200-1800 m and 540-1150 m, respectively) to examine particularly the effect of temperature on decomposition. In Pfynwald (https://www.wsl.ch/de/ueber-die-wsl/versuchsanlagen-und-labors/flaechen-im-wald/pfynwald.html) and Salgesch, infrastructure of running projects was used to examine the effect of drought and understory removal, respectively. In Novaggio, tea bags were incubated in summer and winter to study the effect of seasonality particularly precipitation. Tea bags are collected after 3, 12, 24, and 36 months; for the two time-shifted experiments additionally after 6 and 9 months.
The study has two primary objectives. Firstly, it contributes to TeaComposition initiative (http://teacomposition.org/) which aims at investigating long-term litter decomposition and its key drivers at present as well as under different future climate scenarios using a common protocol and standard litter (tea) across nine terrestrial biomes. Secondly, the data are used to further develop decomposition models such as Yasso (http://en.ilmatieteenlaitos.fi/yasso) which is used by several countries, including Switzerland to estimate the annual carbon fluxes in dead wood, litter, and soil for reporting in National Greenhouse Gas Inventories under the United Nations Framework Convention on Climate Change and the Kyoto Protocol.

carbon

display_name: carbon

decomposition

display_name: decomposition

forest

display_name: forest

green-tea

display_name: green-tea

litter

display_name: litter

modeling

display_name: modeling

roiboos

display_name: roiboos

tea-bag

display_name: tea-bag

verification

display_name: verification

en: LWF-Tea bag sites


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

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

media_type: Stata dta file

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

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

media_type: .zip

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

en: information on ingredients of national dishes

media_type: .csv

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

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

agro-food-trade

display_name: agro-food-trade

food-preferences

display_name: food-preferences

food-taste-similarity

display_name: food-taste-similarity

latent-semantic-analysis

display_name: latent-semantic-analysis

national-dishes

display_name: national-dishes

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


maintainer: Vanessa Burg

en: biogas bioenergy switzerland manure review

en: Biogas from animal manure in Switzerland: energy potential, technology development and resource mobilization

media_type: PDF

en: Aim of this white paper is to provide decision-makers, administrations and stakeholders with the most current research findings in order to promote the optimal use of bioenergy from manure in the Swiss energy transition. For this purpose, the results of the Swiss competence center for bioenergy research - SCCER BIOSWEET - are summarized and presented in a broader context. If nothing else is mentioned, the results refer to Switzerland and in case of the feedstock to the domestic biomass potentials.

format: PDF

bioenergy

display_name: bioenergy

biogas

display_name: biogas

manure

display_name: manure

review

display_name: review

switzerland

display_name: switzerland

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.


greenland-shrubs-and-microclimate

maintainer: Nathalie Chardon

title_for_slug: greenland-shrubs-and-microclimate

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

en: GitLab Repository

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

en: Nuup Kangerlua

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

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

 COLUMN ABBREVIATIONS

 Metadata for 90 m spatial grid

year: sampling year

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

long: WGS84 longitude

lat: WGS84 latitude

x_stere: longitude in Polar Stereographic (EPSG 4326)

y_stere: latitude in Polar Stereographic (EPSG 4326)

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

pa_bena: _Betula nana_

pa_sagl: _Salix glauca_

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

cov_bena: _Betula nana_ cover

cov_sagl: _Salix glauca_ cover

 Downscaled climate (time series 1984 – 2013)

tempjja: average maximum June-August temperature [ºC]

tempmax: yearly maximum temperature [ºC]

tempmin: yearly minimum temperature [ºC]

tempcont: yearly maximum – minimum temperature [ºC]

precipmam: cumulative March-May precipitation [mm]

precipjja: cumulative June-August precipitation [mm]

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

 Topography and terrain wetness (calculated from)

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

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

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

tcws: Tasseled Cap Wetness component (Sentinal images)

 Community characteristics

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

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

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

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

en: Kangerluarsunnguaq

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

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

 COLUMN ABBREVIATIONS

 Metadata for 90 m spatial grid

id: sampling zone and unique 90 m grid identifier

long: WGS84 longitude

lat: WGS84 latitude

x_stere: longitude in Polar Stereographic (EPSG 4326)

y_stere: latitude in Polar Stereographic (EPSG 4326)

date: sampling day.month.year

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

alcr: _Alnus crispa_

bena: _Betula nana_

dila: _Diapensia lapponica_

emni: _Empetrum nigrum_

hahy: _Harimanella hypoides_

lopr: _Loiseleuria procumbens_

oxpa: _Oxycoccus palustre_

phca: _Phyllodoce caerulea_

rhod: _Rhododendron_ sp.

saar: _Salix arctica_

sagl: _Salix glauca_

sahe: _Salix herbacea_

vaul: _Vaccinium uliginosum_

drin: _Dryas integrifolia_

thpr: _Thymus praecox_

 Habitat characteristics [% cover]

shrub: all shrub species

gram: graminoids

forb: forbs

bryo: bryophytes

lich: lichens

litt: litter

bare: bare ground

stone: stones (> 2 cm)

org: organic crust

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

alcr_c: _Alnus crispa_ cover

alcr_h: _Alnus crispa_ height

bena_c: _Betula nana_ cover

bena_h: _Betula nana_ height

dila_c: _Diapensia lapponica_ cover

dila_h: _Diapensia lapponica_ height

emni_c: _Empetrum nigrum_ cover

emni_h: _Empetrum nigrum_ height

hahy_c: _Harimanella hypoides_ cover

hahy_h: _Harimanella hypoides_ height

lopr_c: _Loiseleuria procumbens_ cover

lopr_h: _Loiseleuria procumbens_ height

oxpa_c: _Oxycoccus palustre_ cover

oxpa_h: _Oxycoccus palustre_ height

phca_c: _Phyllodoce caerulea_ cover

phca_height: _Phyllodoce caerulea_ height

rhod_c: _Rhododendron_ sp. cover

rhod_h: _Rhododendron_ sp. height

saar_c: _Salix arctica_ cover

saar_h: _Salix arctica_ height

sagl_c: _Salix glauca_ cover

sagl_h: _Salix glauca_ height

sahe_c: _Salix herbacea_ cover

sahe_h: _Salix herbacea_ height

vaul_c: _Vaccinium uliginosum_ cover

vaul_h: _Vaccinium uliginosum_ height

drin_c: _Dryas integrifolia_ cover

drin_h: _Dryas integrifolia_ height

 Community characteristics

rich_pa: shrub species richness at grid level

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

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

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

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

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

 Topography and terrain wetness (calculated from)

tcws: Tasseled Cap Wetness component (Sentinal images)

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

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

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

 Downscaled climate (time series 1984 – 2013)

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

precipmam: cumulative March-May precipitation [mm]

tempcont: yearly maximum – minimum temperature [ºC]

tempmin: yearly minimum temperature [ºC]

precipjja: cumulative June-August precipitation [mm]

tempjja: average maximum June-August temperature [ºC]

tempmax: yearly maximum temperature [ºC]

en:
 Study Aim

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

 Data Description

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

 Nuup Kangerlua (Godthåbsfjord)

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

 Kangerluarsunnguaq (Kobbefjord)

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

 Methods

 Field survey in Nuup Kangerlua

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

 Field survey in Kangerluarsunnguaq

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

 Biotic variables

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

 Climate variables

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

 Topography and terrain wetness indicator variables

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

 Computer code

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

 Third-party data

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

accessible-shrub-forest

display_name: accessible-shrub-forest

arctic

display_name: arctic

climate

display_name: climate

field-data

display_name: field-data

sdm

display_name: sdm

validation

display_name: validation

en: Greenland shrubs and microclimate


en: forest nitrogen soil picea-abies face co2

en: Collection of soil solution

en: Soil solution collected by suction cups

en: Resin bags

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

en: Soil C and N

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

en: Water analyses

en: Analyses of water, especially soil solution

en: Gross N mineralisation and nitrification

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

en: Collection points

en: Collection points under the trees

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)


en: swiss-forest-lab diameter-at-breast-height dbh irrigation tree-species tree scots-pine drought lwf crown-condition forest

en: Long-term Irrigation	Experiment Pfynwald homepage

en: Swiss Forest Health Inventory

en: Site photo 3

media_type: JPEG

en: Dataset

media_type: XLSX

format: XLS

en: Site photo 1

en: Site photo 2

en: Shapefile	of measurement location

media_type: URL

en: To study the performance of mature Scots pine (_Pinus sylvestris_ L.) under chronic drought conditions in comparison to their immediate physiological response to drought release, a controlled long-term and large-scale irrigation experiment has been set up in 2003. The experiment is located in a xeric mature Scots pine forest in the Pfynwald (46° 18' N, 7° 36' E, 615 m a.s.l.) in one of the driest inner-Alpine valleys of the European Alps, the Valais (mean annual temperature: 9.2°C, annual precipitation sum: 657 mm, both 1961-1990). Tree age is on average 100 years, the top height is 10.8 m and the stand density is 730 stems ha-1 with a basal area of 27.3 m2 ha-1. The forest is described as _Erico Pinetum sylvestris_ and the soil is a shallow pararendzina characterized by low water retention. The experimental site (1.2 ha; 800 trees) is split up into eight plots of 1'000 m2 each. During April-October, irrigation is applied on four randomly selected plots with sprinklers of 1 m height at night using water from an adjacent water channel. The amount of irrigation corresponds to a supplementary rainfall of 700 mm year-1. Trees in the other four plots grow under naturally dry conditions. Soil moisture has been monitored since the beginning of the project at 3 soil depths (10, 20 and 60 cm). The crown condition of each tree is being assessed each year since 2003. Tree measurement data such as diameter at breast height, tree height, and social status were assessed in 2002, 2009 and 2014. The duration of the irrigation experiment is planned for 20 years.

crown-condition

display_name: crown-condition

dbh

display_name: dbh

diameter-at-breast-height

display_name: diameter-at-breast-height

drought

display_name: drought

irrigation

display_name: irrigation

lwf

display_name: lwf

scots-pine

display_name: scots-pine

swiss-forest-lab

display_name: swiss-forest-lab

tree

display_name: tree

tree-species

display_name: tree-species

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: Tree measurements 2002-2016 from the long-term irrigation experiment Pfynwald, Switzerland


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

en: headers

media_type: ascii, tab separated, also as excel table

en: Description of headers for data_wohlgemuth_etal_Neobiota_2022

en: references

media_type: XLS

en: Bibliography of all references cited in data_wohlgemuth_etal_Neobiota_2022.

media_type: CSV

en: Baseline data

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

biodiversity

display_name: biodiversity

biogeography

display_name: biogeography

forest-management

display_name: forest-management

pairwise-stand-comparisons

display_name: pairwise-stand-comparisons

soil-impacts

display_name: soil-impacts

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


data-set-on-snow-instability

title_for_slug: data-set-on-snow-instability

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

en: Read-me file on snow instability data

media_type: application/pdf

mimetype: application/pdf

en: data set on snow instability

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

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

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

avalanche-forcasting

display_name: avalanche-forcasting

crack-propagation

display_name: crack-propagation

failure-initiation

display_name: failure-initiation

propgatoin-saw-test

display_name: propgatoin-saw-test

rutschblock

display_name: rutschblock

slab

display_name: slab

slab-tensile-support

display_name: slab-tensile-support

snow-avalanche

display_name: snow-avalanche

snow-stability-evaluation

display_name: snow-stability-evaluation

weak-layer

display_name: weak-layer

en: Data set on snow instability


maintainer: Christoph Marty

en: snowfall snow hydrology climate-change-impacts water-cycle

en: DORA Persistent URL

en: Synthesis report chapter

en:
This report was prepared as one of the synthesis report chapters of the Hydro-CH2018 project of the Federal Office for the Environment (FOEN). An important feature of snow cover is the fact that its volume and duration is subject to large year-to-year fluctuations. As frozen precipitation, snow cover is nothing other than a natural water reservoir that delays precipitation to runoff and is thus of outstanding importance for the seasonal water balance in Switzerland. Over a whole year, approximately 40% (22 km3) of the annual runoff currently comes from snow melting and only 1% from glacier melting. Typically, the snow cover in the Alpine region builds up over the autumn and winter months, reaches its maximum between February and May, depending on the altitude, and dominates the runoff processes during melting in the following spring and summer months.
Due to the great dependence on minus temperatures and precipitation, the snow cover reacts sensitively to temperatures above 0° Celsius and more or less precipitation. Due to climate change and the associated warming, the proportion of precipitation that falls as snow decreases measurably. In addition to this reduction in snowfall, the warmer temperatures also cause the snow cover to melt more quickly. The decline in snowfall has so far mainly affected lower altitudes, where winter temperatures often reach positive levels.
As climate change progresses, this trend is likely to continue and above all affect higher zones. Even at higher altitudes, the snow cover will then start later, melt away earlier and is increasingly no longer permanently present. This development will also have an effect on the water bodies. Today nival regimes, i.e. regimes shaped by snow, are shifting towards pluvial regimes, i.e. regimes dominated by rain. Overall, winter runoff increases, summer runoff decreases. By the end of the century, the proportion of runoff from snowmelt will decrease throughout Switzerland, albeit to a lesser extent than the proportion from glacier melt.

climate-change-impacts

display_name: climate-change-impacts

hydrology

display_name: hydrology

snow

display_name: snow

snowfall

display_name: snowfall

water-cycle

display_name: water-cycle

education

en: Education and science

en: Snow and the water cycle in a changing climate


maintainer: James W. Kirchner

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

en: MODIS EVI2 script

media_type: text/plain

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

format: TXT

mimetype: text/plain

en: Metadata

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

en: MODIS NDSI script

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

en: 30-minute time series

en: 30-minute hydrometeorological and ecohydrological time series.

en: Daily time series

en: Daily hydrometeorological and ecohydrological time series

en: Subcatchment polygons

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

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

Data include 30-minute time series of

- weather variables,

- sap flow fluxes,

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

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

and daily time series of

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

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

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

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

diel-cycle

display_name: diel-cycle

diurnal-cycle

display_name: diurnal-cycle

ecohydrology

display_name: ecohydrology

evapotranspiration

display_name: evapotranspiration

groundwater

display_name: groundwater

sap-flow

display_name: sap-flow

snowmelt

display_name: snowmelt

streamflow

display_name: streamflow

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


root-traits

maintainer: Ivano Brunner

title_for_slug: root-traits

en: drought belowground-biomass ingrowth-cores soil-coring fine-root-traits

en: Root-traits

media_type: application/zip

mimetype: application/zip

en:
Fine-root traits of Scots pine in response to enhanced soil water availability deriving from long-term irrigation in the Pfynwald

Data_Fig.1.xlsx
Fine-root biomass of the topsoil (0-10 cm) in the dry and irrigated treatment of the Scots pine forest of the years 2003 to 2016 recorded by soil coring

Data_Tab1+2_2005.xlsx
Fine-root traits from roots of ingrowth cores from 2005 after two years of growth in the dry and irrigated treatment of the Scots pine forest

Data_Tab1+2_2016.xlsx
Fine-root traits from roots of ingrowth cores from 2016 after two years of growth, and from roots of the soil-coring sampling from 2016 in the dry and irrigated treatment of the Scots pine forest

belowground-biomass

display_name: belowground-biomass

drought

display_name: drought

fine-root-traits

display_name: fine-root-traits

ingrowth-cores

display_name: ingrowth-cores

soil-coring

display_name: soil-coring

education

en: Education and science


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

en: Site aerial photo (Neunkirch)

media_type: image/jpeg

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

mimetype: image/jpeg

en: Field station data (NEF)

en: Data file.

en: Site photo of the field station (NEF)

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

en: Forest station data (NEB)

en: Data plot of the field station (NEF)

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

en: Site photo of the forest station (NEB)

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

en: Data plot of the forest station (NEB)

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

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


en: digital-zoning-plans land-use-simulations land-use-change spatial-planning land-use-transformations

media_type: ascii x, y, z

en: Legend simulated maps

en:
Table of Content: 1. General context of the data set "LUSzoning”; 2. Background and aims of the study using the data set LUSzoning; 3. The data set LUSzoning.
1. General context of the data set "LUSzoning".
The data set "LUSzoning" stands for Land-use simulations integrating zoning regulations in Spanish functional urban areas. The data set has been generated as part of the CONCUR research project (https://www.wsl.ch/en/projects/concur.html) led by Dr. Anna M. Hersperger and funded by the Swiss National Science Foundation (ERC TBS Consolidator Grant (ID: BSCGIO 157789) for the period 2016-2021. The CONCUR research project is interdisciplinary and aims to develop a scientific basis for adequately integrating spatial policies (in this case, digital zoning plans) into quantitative land-change modelling approaches at the urban regional level.
2.	Background and aims of the study using the data set “LUSzoning”.
As part of the CONCUR project, a specific task was to integrate planning spatial policies in land-change modelling. Planning can be implemented in modelling using either hard or gradual restrictions. Different studies have addressed the inclusion of spatial planning policies in land-use change modelling. However, the integration of zoning constraints is generally established as hard or Boolean-based restrictions (e.g., whether urban development is allowed or not), while not accounting for the spatial heterogeneity or gradual characteristics within planning zones (e.g., whether planning regulations allow low, medium or high urban density), though these could improve real patterns simulations in urban areas. We assume Spanish General Zoning plans were suitable to explore the integration of planning into land-change modelling as soft constrains because they define land-use intensities in the buildable zoning areas. In light of the above considerations, the overall aim of the study was to model urban land-use changes using a multi-scenario approach that integrates digitized zoning plans for the Functional Urban Areas (FUAs) of Madrid, Barcelona, Valencia, and Zaragoza. The following specific objectives were addressed: i) to analyse the role of planning by defining three future scenarios that integrate digitized zoning plans and one scenario that assumes almost no planning intervention; ii) to introduce zoning constraints that reflect different degrees of urban densities; iii) to generate a transferable spatially-explicit modelling framework to integrate planning into land-use change simulations.
Four future land-use demands scenarios were defined for the FUAs. Storylines were created considering probable development scenarios related to zoning plans, current Spanish legislation and sustainability goals defined along two axes: a high market-oriented vs. high planning-intervention axis, and an axis of short-term economic growth vs. long-term sustainable growth. The sustainable development scenario (S1) is characterized by low gross floor area (GFA) growth that is limited to areas that are currently under development according to zoning plans. The business-as-usual scenario (S2) is characterized by medium GFA growth in the range of on-going trends. The strong development scenario (S3) is characterized by high GFA growth rates. Growth is restricted to buildable areas without urbanization project designated in zoning plans. The unrestricted development scenario (S4) prioritizes a high degree of market liberalization characterized by high GFA growth that surpasses population demands. S4 follows a rapid economic growth pattern with almost no planning intervention.
3.	 The data set “LUSzoning”.
The dataset includes 16 .asc raster layers providing the simulated land-uses under four defined scenarios for Barcelona, Madrid, Valencia and Zaragoza Functional Urban Areas (FUAs) for 2030. The simulated raster layers were created using CLUMondo simulation framework and have a spatial resolution of 30m. The .asc layers name include the name of the FUA and scenario number. For example, the output from simulating the urban growth for the city of Zaragoza under Scenario 2 is named “Zaragoza_S2.tif”. Furthermore, a .txt file named “Legend.txt” includes the numeric value of the land-use and the category of land-use that represents to interpret the .asc raster layers. The name of the land-use classes is a reclassification of the Urban Atlas 2012 land-use classes within the four Spanish FUAs analyzed.

digital-zoning-plans

display_name: digital-zoning-plans

land-use-change

display_name: land-use-change

land-use-simulations

display_name: land-use-simulations

land-use-transformations

display_name: land-use-transformations

spatial-planning

display_name: spatial-planning

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: LUSzoning: Land-use simulations integrating zoning regulations in Spanish functional urban areas


maintainer: Yohann Chauvier

en: background-data point-process-model environmental-stratification survey-effort plant-species target-group cluster independent-dataset random-stratified-sampling covariate-correction

media_type: ZIP

en: Non-copyright data, scripts, diversity outputs

en:
Aim: While species distribution models (SDMs) are standard tools to predict species distributions, they can suffer from observation and sampling biases, particularly presence-only SDMs that often rely on species observations from non-standardized sampling efforts. To address this issue, sampling background points with a target-group strategy is commonly used, although more robust strategies and refinements could be implemented. Here, we exploited a dataset of plant species from the European Alps to propose and demonstrate efficient ways to correct for observer and sampling bias in presence-only models.

Innovation: Recent methods correct for observer bias by using covariates related to accessibility in model calibrations (classic bias covariate correction, Classic-BCC). However, depending on how species are sampled, accessibility covariates may not sufficiently capture observer bias. Here, we introduced BCCs more directly related to sampling effort, as well as a novel corrective method based on stratified resampling of the observational dataset before model calibration (environmental bias correction, EBC). We compared, individually and jointly, the effect of EBC and different BCC strategies, when modelling the distributions of 1’900 plant species. We evaluated model performance with spatial block split-sampling and independent test data, and assessed the accuracy of plant diversity predictions across the European Alps.

Main conclusions: Implementing EBC with BCC showed best results for every evaluation method. Particularly, adding the observation density of a target group as bias covariate (Target-BCC) displayed most realistic modelled species distributions, with a clear positive correlation (r≃0.5) found between predicted and expert-based species richness. Although EBC must be carefully implemented in a species-specific manner, such limitations may be addressed via automated diagnostics included in a provided R function. Implementing EBC and bias covariate correction together may allow future studies to address efficiently observer bias in presence-only models, and overcome the standard need of an independent test dataset for model evaluation.

background-data

display_name: background-data

cluster

display_name: cluster

covariate-correction

display_name: covariate-correction

environmental-stratification

display_name: environmental-stratification

independent-dataset

display_name: independent-dataset

plant-species

display_name: plant-species

point-process-model

display_name: point-process-model

random-stratified-sampling

display_name: random-stratified-sampling

survey-effort

display_name: survey-effort

target-group

display_name: target-group

education

en: Education and science

en: Novel methods to correct for observer and sampling bias in presence-only species distribution models


maintainer: Frank Techel

en: observations avalanches alps shapefile snow

en: Selected wet snow avalanche activity data Davos, Switzerland (2011-2014)

en: Zip archive with shapefiles for the selected wet snow avalanche polygons, including metadata.

en:
Polygons of wet snow avalanches in the Davos area, as documented by the Swiss avalanche warning service. The georeferenced outlines of the avalanches contain both the release as well as the deposit area, but without separating between both.

The dataset is a subset of the total record of 1615 avalanches classified as wet snow avalanches from October 2011 - September 2014, containing those 255 avalanches exceeding 0.0125 km^2. Every polygon comes with meta data, including the date of occurrence.

This dataset is the underlying dataset to:
Wever, N., Vera Valero, C. and Techel, F. (2018) _Coupled snow cover and avalanche dynamics simulations to evaluate wet snow avalanche activity_. Submitted to J. Geophys. Res., in review.

alps

display_name: alps

avalanches

display_name: avalanches

observations

display_name: observations

shapefile

display_name: shapefile

snow

display_name: snow


en: spatial-modelling forest-gain built-up-classification urban-sprawl urban-morphology topography urban-compactness basic-services planning-outcome nature-conservation forest-persistence land-use-and-cover-change

media_type: geotiff

en: Human Development Index (HDI) per municipality (change per year)

format: GeoTIFF

en:
Basic education in % per census sector (change per
year)

en: Increase in waste collection service

media_type: SHP

en: Ecological-Economic Zoning (EEZ)

format: SHP

en: slope

en: Slope °

en: Native forest cover gains from 2005 to 2015

en: Increase in sanitation service

en: Master plan Ihabela (zones)

en: Permanent housing density increase

en: Descricao dos dados em portiuguês

en: Portugues description

en: Topographic Index Position (TPI)

en: Population density per pixel (change per year)

en: Variables description

en: Table of content. Variables description, source, and other important information

en: infill

en: New built-up pixels classified as infill

en: Mean income in Reais (R$) per census sector (change per year)

en: isolated

en: New built-up pixels classified as isolated

en: Increase in clean water provision service

en: Increase in Normalized Difference Vegetation Index

en: Urban persistence: Built-up 2005 = Built-up 2015

media_type: .shp

en: Master plan Ubatuba (zones)

en: Axial

en: New built-up pixels classified as axial

en: Native forest cover persistence from 2005 to 2015

en:
The present dataset is part of the published scientific paper entitled “The role of spatial planning in land change: An assessment of urban planning and nature conservation efficiency at the southeastern coast of Brazil” (Pierri Daunt, Inostroza and Hersperger, 2021). In this work, we evaluated the conformance of stated spatial planning goals and the outcomes in terms of urban compactness, basic services and housing provision, and nature conservation for different land-use strategies. We evaluate the 2005 Ecological-Economic Zoning (EEZ) and two municipal master plans from 2006 in a coastal region in São Paulo State, Brazil. We used Partial Least Squares Path Modelling (PLS-PM) to explain the relationship between the plan strategies and land-use change ten years after implementation in terms of urban compactness, basic services and housing increase, and nature conservation.

We acquired the data for the explanatory variables from different sources listed on Table 1. Since the model is spatially explicit, all input data were transformed to a 30 m resolution raster. Regarding the evaluated spatial plans, we acquired the zones limits from the São Paulo State Environmental Planning Division (CPLA-SP), Ilhabela and Ubatuba municipality.

1)	Land use and cover data: Urban persistence, Urban axial, Urban infill, Urban Isolates, Forest cover persistence, Forest cover gain, NDVI increase

We acquired two Landsat Collection 1 Higher-Level Surface Reflectance images distributed by the U.S. Geological Survey (USGS), covering the entire study area (paths 76 and 77, row 220, WRS-2 reference system, https://earthexplorer.usgs.gov/). We classified one image acquired by the Landsat 5 Thematic Mapper (TM) sensor on 2005-05-150, and one image from the Landsat 8 Operational Land Imager (OLI) sensor from 2015-08-15. We collected 100 samples for forest cover, 100 samples for built-up cover and 100 samples for other classes. We then classified these three classes of land cover at each image date using the Support Vector Machine (SVM) supervised algorithm (Hsu et al., 2003), using ENVI 5.0 software.

Land-use and land-cover changes from 2005 to 2015 were quantified using map algebra, by mathematically adding them together in pairs (10*LULC2015 + LULC2005). We reclassified the LULC data into forest gain (conversion of any 2005 LULC to forest cover in 2015); forest persistence (2005 forested pixels that remained forested in 2015); new built-up area (conversion of any 2005 LULC to built-up in 2015); and urban maintenance (2005 built-up pixels that remained built-up in 2015).

To describe the spatial configuration of the urban expansion, we classified the new built-up areas into axial, infill and isolated, following Inostroza et al. (2013) (For details, please refer to Supplementary Material I at the original publication).

The NDVI was obtained from the same source used for the LULC data. With the Google Engine platform, we used an annual average for the best pixels (without clouds) for 2005 and 2015, and we calculated the changes between dates. We used increases of > 0.2 NDVI to represent an improvement in forest quality.

2)	Federal Census data organization: Urban Basic Services and Housing indicator, socioeconomic and population:

The data used to infer the values of basic services provision, socioeconomic and population drivers was derived from the Brazilian National Census data (IBGE, 2000 and 2010). Population density, permanent housing unit density, mean income, basic education, and the percentage of houses receiving waste collection, sanitation and water provision services, called basic services in the context of this study, were calculated per 30 m pixel. The Human Development Index is only available at the municipality level. We attributed the HDI for the vector file with the municipality border, and we rasterized (30 m resolution) this file in QGIS. Annual rates of change were then calculated to allow comparability between LULC periods. To infer the BSH, we used only areas with an increase in permanent housing density and basic services provision (See Supplementary Material I at the original publication).

3)	Topographic drivers

To infer the values of the topographic driver, we used the slope data and the Topographic Index Position (TPI) based on the digital elevation model from SRTM (30 m resolution) produced by ALOS (freely available at eorc.jaxa.jp/ALOS/en/about/about_index.htm), and both variables were considered constant from 2005 to 2015 (See Supplementary Material I at the original publication).

basic-services

display_name: basic-services

en: Spatially explicit data to evaluate spatial planning outcomes in a coastal region in São Paulo State, Brazil


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

media_type: TXT

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

Funded currently or in the past by:

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

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

gcos

display_name: gcos

meteodat-gmbh

display_name: meteodat-gmbh

snow-water-equivalent

display_name: snow-water-equivalent

wagital

display_name: wagital

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


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

media_type: TIFF

en: Mean diurnal range modified from CHELSA

format: TIFF

media_type: tif

en: Mean annual temperature modified from CHELSA

en: Soil organic carbon content modified from SoilGrids

en: Precipitation of driest quarter modified from CHELSA

en: Precipitation seasonality from CHELSA

en: Frost change frequency modified from CHELSA

en: Soil clay content modified from SoilGrids

en: Soil pH modified from SoilGrids

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

aridity

display_name: aridity

frost-change-velocity

display_name: frost-change-velocity

ground-temperature

display_name: ground-temperature

precipitation

display_name: precipitation

sdms

display_name: sdms

soil

display_name: soil

en: Environmental layers for SDM simulations (GDPlants)