de: sachdaten urnengang gemeinderat stimmbeteiligung politik tabelle partei abstimmung

de: Vor Urnengängen informiert die Stadtkanzlei regelmässig über den Stand der Stimmbeteiligung per brieflicher Abgabe.

abstimmung

display_name: abstimmung

gemeinderat

display_name: gemeinderat

partei

display_name: partei

politik

display_name: politik

sachdaten

display_name: sachdaten

stimmbeteiligung

display_name: stimmbeteiligung

urnengang

display_name: urnengang

de: Stimmbeteiligung in Prozent vor Urnengängen


maintainer: Open Data Zürich

de: verbrauch strom hackzurich sachdaten energie

state: active

type: dataset

media_type: text/csv

format: CSV

mimetype: text/csv

de:
Der Datensatz enthält die Gesamtstromabgabe in jeder Statistischen Zone im angegebenen Jahr durch ewz und Dritte. Für die Berechnung werden die gemessenen Verbrauchswerte von Haushalten und Firmen sowie Gewerbe in der jeweiligen Zone addiert. Der Stromabgabe ist in GWh angegeben.
Da es keinen Stichtag für die Ablesungen gibt, kann die Summe dieser Daten von anderen publizierten Daten bzgl. Gesamtstromabgabe abweichen.

energie

display_name: energie

hackzurich

display_name: hackzurich

strom

display_name: strom

verbrauch

display_name: verbrauch

energy

fr: Energie

de: Energie

en: Energy

it: Energia

name: Elektrizitätswerk der Stadt Zürich, Departement der Industriellen Betriebe

stadt-zurich

fr: Ville de Zurich

de: Stadt Zürich

en: City of Zurich

it: Cità di Zurigo

fr: Vous trouverez ici les données de la ville de Zürich. En parallèle, Open Data Zürich a son propre portail Open Data où vous pouvez trouver également des manuels et des documents sur le traitement des données. À de rares exceptions près, toutes les données publiées par Open Data Zürich sont sous une licence «Creative Commons Zero».

de: Open Data Zürich stellt hier offene Daten aus der Stadt Zürich zur freien Nutzung bereit. Die Stadt Zürich verfügt parallel über ein eigenes Open Data Portal, auf dem Sie auch Anleitungen und Dokumentationen zum Umgang mit Datensätzen finden. Mit wenigen Ausnahmen sind alle Datensätze der Stadt Zürich mit «Creative Commons Zero» lizenziert.

en: Here you find all publicly available data published by Open Data Zürich. In addition, the city of Zurich runs its own Open Data Portal, where you find manuals and documentation about the handling of datasets. With only a few exceptions, all datasets from Open Data Zürich are licensed under «Creative Commons Zero».

it:
Open Data Zürich propone qui dati pubblici della città di Zurigo, pronti alla libera utilizzazione.
La città di Zurigo dispone parallelamente di un proprio portale Open Data, sul quale sono disponibili anche istruzioni e documentazioni per contestualizzare i datasets.
A parte poche eccezioni tutte le datasets della città di Zurigo hanno una licenza «Creative Commons Zero».

political_level: commune

type: organization

approval_status: approved

key: guid

key: uri

value: ZH - DCAT Harvester

de: Stromabgabe nach Statistischer Zone


de: wahlen resultate historische-wahldaten sachdaten tabellen einzeldaten gemeinderat parteien

de: Detaillierte Resultate der erhaltenen Stimmen aller 1075 Kandidierenden für die Gemeinderatswahlen 2022 nach Wahlresultat, Vor- und Nachname, Alter, Beruf, Geschlecht, Wahlkreis, Liste, Total Stimmen, parteieigener Stimmen, parteieigenen Stimmen aus unveränderten Wahllisten, parteifremden Stimmen, Stimmen aus veränderten Wahllisten.

einzeldaten

display_name: einzeldaten

historische-wahldaten

display_name: historische-wahldaten

parteien

display_name: parteien

resultate

display_name: resultate

tabellen

display_name: tabellen

wahlen

display_name: wahlen

politics

fr: Politique

de: Politik

en: Politics

it: Politica

de: Gemeinderatswahlen 2022: Resultate aller Kandidierenden und Herkunft der Stimmen


media_type: application/pdf

format: PDF

mimetype: application/pdf

media_type: application/zip

format: ZIP

mimetype: application/zip

de:
Die hier verfügbaren Datensätze beinhalten die **täglich aktualisierten** Messwerte zum motorisierten Individualverkehr (MIV) in der Stadt Zürich, welche von den zahlreichen Zählstellen der Dienstabteilung Verkehr (DAV) gemessen wurden.

Die Aktualisierung beinhaltet jeweils die Daten von **vorgestern** (z.B. am 17.1.2021 werden die Daten bis und mit dem vollendeten 15.1.2021 geliefert). Bis spätestens 08:00 Uhr sind die neuesten Daten verfügbar.

Zu einer Messstelle gehören mehrere Zählstellen, welche wiederum Messungen mit sogenannten Detektoren vornehmen. In den vorliegenden Datensätzen sind die Messwerte pro Zählstelle enthalten. Für jede Zählstelle gibt es einen detaillierten PDF-Situationsplan in der Datei "Zaehlstellen_Detail.zip", welcher u.a. die genaue Lage der Detektoren anzeigt.

auto

display_name: auto

dtoer

display_name: dtoer

lastwagen

display_name: lastwagen

messwert

display_name: messwert

motorrad

display_name: motorrad

sasa

display_name: sasa

stau

display_name: stau

tabelle

display_name: tabelle

verkehr

display_name: verkehr

verkehrszaehlung

display_name: verkehrszaehlung

zeitreihe

display_name: zeitreihe

mobility

fr: Mobilité et transports

de: Mobilität und Verkehr

en: Mobility and Transport

it: Mobilità e trasporti

territory

fr: Territoire et environnement

de: Raum und Umwelt

en: Territory and environment

it: Territorio e ambiente

de: Daten der Verkehrszählung zum motorisierten Individualverkehr (Stundenwerte), seit 2012


de: wohnen sachdaten appartement erstwohnung bauperiode tabelle bauwesen zimmer bau-grundangebot zweitwohnung sasa apartment wohnung quartier

de: Der Datensatz enthält den Wohnungsbestand nach Art der Nutzung, insbesondere nach Erstwohnungen, den Erstwohnungen gleichgestellte Wohnungen, Zweitwohnungen und Apartments für das aktuellste Jahr. Früher ausgewiesene Zahlen sind nicht mit den aktuellen vergleichbar; eine Zeitreihe ist deshalb nicht enthalten.

apartment

display_name: apartment

appartement

display_name: appartement

bau-grundangebot

display_name: bau-grundangebot

bauperiode

display_name: bauperiode

bauwesen

display_name: bauwesen

erstwohnung

display_name: erstwohnung

quartier

display_name: quartier

sachdaten

display_name: sachdaten

wohnen

display_name: wohnen

wohnung

display_name: wohnung

zimmer

display_name: zimmer

zweitwohnung

display_name: zweitwohnung

construction

fr: Construction, logement

de: Bau- und Wohnungswesen

en: Construction and housing

it: Costruzione e abitazione

name: Statistik Stadt Zürich, Präsidialdepartement

de: Zweitwohnungen und Apartments nach Stadtquartier, Bauperiode und Zimmerzahl


de: teilhabe demokratie wahlen abstimmung

de: csv

de: Abstimmung vom 15. Mai 2022 Details (csv)

license: CC BY 3.0 CH

de: json

media_type: application/json

de: Abstimmung vom 15. Mai 2022 Details (json)

format: JSON

mimetype: application/json

de: Dieser Datensatz zeigt die Resultate der Volksabstimmung vom 15. Mai 2022 für den Kanton Basel-Stadt auf Ebene Wahllokal.Bitte beachten Sie, dass die offiziell gültigen Schlussresultate im Kantonsblatt des Kantons Basel-Stadt publiziert werden.

abstimmung

display_name: abstimmung

demokratie

display_name: demokratie

teilhabe

display_name: teilhabe

wahlen

display_name: wahlen

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.

political_level: canton

value: BS Kanton Stadt - DCAT Harvester

de: Abstimmung vom 15. Mai 2022 Details


spatial: Schweiz

fr: Annuaire statistique de la Suisse 1924

media_type: text/html

format: HTML

mimetype: text/html

de: Statistisches Jahrbuch der Schweiz 1924

basas-statisticas-e-survistas

display_name: basas-statisticas-e-survistas

bases-statistiques-et-generalites

display_name: bases-statistiques-et-generalites

grundlagen-und-ubersichten

display_name: grundlagen-und-ubersichten

statistical-basis-and-overviews

display_name: statistical-basis-and-overviews

statistical-basis

fr: Bases statistiques

de: Statistische Grundlagen

en: Statistical basis

it: Basi statistiche

bundesamt-fur-statistik-bfs

fr: Office fédéral de la statistique OFS

de: Bundesamt für Statistik BFS

en: Federal Statistical Office FSO

it: Ufficio federale di statistica UST

fr: L'OFS est le centre de compétence de la statistique publique suisse. Il produit des informations statistiques sur la population, l'économie, la société, la formation et la recherche, le territoire et l'environnement. Ces informations servent à la formation de l’opinion publique. Elles sont un outil de planification et de gouvernance dans tous les domaines de l’action politique et contribuent au bon fonctionnement de notre État moderne et démocratique.

de: Das BFS ist das nationale Kompetenzzentrum der öffentlichen Statistik der Schweiz. Es produziert und publiziert statistische Informationen über den Stand und die Entwicklung von Bevölkerung, Wirtschaft, Gesellschaft, Bildung, Forschung, Raum und Umwelt. Diese Informationen dienen der Meinungsbildung in der Bevölkerung sowie der Planung und Steuerung von zentralen Politikbereichen. Sie leisten einen wichtigen Beitrag für einen modernen, demokratischen Staat.

en: The FSO is Switzerland's national competence centre for official statistics. It produces and publishes statistical information on the status and development of the population, economy, society, education, research, territory and the environment. This information is used for opinion building among the population and for the planning and management of key policy areas. They make an important contribution to a modern, democratic state.

it: L’UST è il centro di competenza nazionale per la statistica pubblica della Svizzera. Produce e pubblica informazioni statistiche sullo stato e sull'evoluzione della popolazione, dell'economia, della società, della formazione, della ricerca, del territorio e dell'ambiente. Queste informazioni servono alla formazione dell'opinione pubblica nonché alla pianificazione e alla gestione in ambiti politici di centrale importanza. Forniscono un importante contributo per uno Stato moderno e democratico.

political_level: confederation

value: BFS – DCAT Harvester


fr: Annuaire statistique de la Suisse 1902

de: Statistisches Jahrbuch der Schweiz 1902


de: grundangebot-bau wohnflache wohnungsflaeche konsum tabelle kopf bewohn sachdaten pro personen quartier wohnung wohnungsflache sasa zeitreihe wohnflaeche

de:
Diese Daten umfassen die bewohnten Wohnungen, sowie die zugehörige Wohnungsfläche und Personenzahl nach Stadtquartier in der Stadt Zürich. Mit den Daten können Kennwerte zur Wohndichte berechnet werden (Personen pro Wohnung, Wohnungsfläche pro Person). Die Daten liegen ab dem Jahr 2014 jährlich vor.
Bitte beachten Sie für das korrekte Verständnis zu den Daten die unten aufgeführten weiteren Erläuterungen in der Rubrik **«Bemerkungen»**.

bewohn

display_name: bewohn

grundangebot-bau

display_name: grundangebot-bau

konsum

display_name: konsum

kopf

display_name: kopf

personen

display_name: personen

pro

display_name: pro

sasa

display_name: sasa

tabelle

display_name: tabelle

wohnflache

display_name: wohnflache

wohnflaeche

display_name: wohnflaeche

wohnungsflache

display_name: wohnungsflache

wohnungsflaeche

display_name: wohnungsflaeche

zeitreihe

display_name: zeitreihe

stadt-zurich

de: Stadt Zürich

de: Open Data Zürich stellt hier offene Daten aus der Stadt Zürich zur freien Nutzung bereit. Die Stadt Zürich verfügt parallel über ein eigenes Open Data Portal, auf dem Sie auch Anleitungen und Dokumentationen zum Umgang mit Datensätzen finden. Mit wenigen Ausnahmen sind alle Datensätze der Stadt Zürich mit «Creative Commons Zero» lizenziert.

de: Wohndichte nach Eigentumsart und Stadtquartieren seit 2008


fr: Annuaire statistique de la Suisse 1922

de: Statistisches Jahrbuch der Schweiz 1922

basas-statisticas-e-survistas

display_name: basas-statisticas-e-survistas


fr: Annuaire statistique de la Suisse 1892

de: Statistisches Jahrbuch der Schweiz 1892

bases-statistiques-et-generalites

display_name: bases-statistiques-et-generalites


de: Statistisches Jahrbuch der Schweiz 1916

fr: Annuaire statistique de la Suisse 1916

grundlagen-und-ubersichten

display_name: grundlagen-und-ubersichten


fr: Annuaire statistique de la Suisse 1907

de: Statistisches Jahrbuch der Schweiz 1907

statistical-basis-and-overviews

display_name: statistical-basis-and-overviews


fr: Annuaire statistique de la Suisse 1903

de: Statistisches Jahrbuch der Schweiz 1903


fr: Annuaire statistique de la Suisse 1941

de: Statistisches Jahrbuch der Schweiz 1941


fr: Annuaire statistique de la Suisse 1964

de: Statistisches Jahrbuch der Schweiz 1964


fr: Annuaire statistique de la Suisse 1966

de: Statistisches Jahrbuch der Schweiz 1966


fr: Annuaire statistique de la Suisse 1957

de: Statistisches Jahrbuch der Schweiz 1957

statistical-basis

de: Statistische Grundlagen


de: Statistisches Jahrbuch der Schweiz 1985

fr: Annuaire statistique de la Suisse 1985

bundesamt-fur-statistik-bfs

de: Bundesamt für Statistik BFS

de: Das BFS ist das nationale Kompetenzzentrum der öffentlichen Statistik der Schweiz. Es produziert und publiziert statistische Informationen über den Stand und die Entwicklung von Bevölkerung, Wirtschaft, Gesellschaft, Bildung, Forschung, Raum und Umwelt. Diese Informationen dienen der Meinungsbildung in der Bevölkerung sowie der Planung und Steuerung von zentralen Politikbereichen. Sie leisten einen wichtigen Beitrag für einen modernen, demokratischen Staat.


fr: Annuaire statistique de la Suisse 1991

de: Statistisches Jahrbuch der Schweiz 1991


fr: Annuaire statistique de la Suisse 1942

de: Statistisches Jahrbuch der Schweiz 1942


de: Statistisches Jahrbuch der Schweiz 1967

fr: Annuaire statistique de la Suisse 1967


fr: Annuaire statistique de la Suisse 2001

de: Statistisches Jahrbuch der Schweiz 2001

fr: Ce fichier électronique ne comprend que les textes de l‘Annuaire.

de: Diese elektronische Datei enthält nur die Texte des Jahrbuchs.

statistical-basis

fr: Bases statistiques


de: Statistisches Jahrbuch der Schweiz 2003

de: Diese elektronische Datei enthält nur die Texte des Jahrbuchs - die Tabellen finden Sie im gedruckten Buch.

fr: Annuaire statistique de la Suisse 2003

fr: Ce fichier électronique ne comprend que les textes de l"Annuaire - les tableaux se trouvent dans la version imprimée du livre.

bundesamt-fur-statistik-bfs

fr: Office fédéral de la statistique OFS

fr: L'OFS est le centre de compétence de la statistique publique suisse. Il produit des informations statistiques sur la population, l'économie, la société, la formation et la recherche, le territoire et l'environnement. Ces informations servent à la formation de l’opinion publique. Elles sont un outil de planification et de gouvernance dans tous les domaines de l’action politique et contribuent au bon fonctionnement de notre État moderne et démocratique.


de: Statistisches Jahrbuch der Schweiz 1983

fr: Annuaire statistique de la Suisse 1983


fr: Hôtels et des établissements de cure: nuitées selon la provenance des hôtes, les zones et les saisons

de: Hotel- und Kurbetriebe: Logiernächte nach Gästeherkunft, Zonen und Saison

format: XLS

tourism

display_name: tourism

tourisme

display_name: tourisme

tourismus

display_name: tourismus

turismo

display_name: turismo

turissem

display_name: turissem

tourism

fr: Tourisme

de: Tourismus

en: Tourism

it: Turismo


fr: Sentiment d'insécurité professionnelle des personnes diplômées des hautes écoles - situation cinq ans après l'obtention du diplôme en 2016

de: Subjektive Beschäftigungsunsicherheit von Hochschulabsolventinnen und -absolventen - Stand fünf Jahre nach Abschluss im Jahr 2016

bildung-und-wissenschaft

display_name: bildung-und-wissenschaft

education-and-science

display_name: education-and-science

education-et-science

display_name: education-et-science

formazione-e-scienza

display_name: formazione-e-scienza

furmaziun-e-scienza

display_name: furmaziun-e-scienza

education

fr: Education, science

de: Bildung, Wissenschaft

en: Education and science

it: Formazione e scienza


fr: Finances de la protection sociale en Suisse: dépenses totales, prestations et recettes totales, en % du PIB

fr: Le tableau présente les agrégats principaux des finances de la protection sociale en Suisse. Les valeurs monétaires sont ici exprimées en pourcentage du produit intérieur brut (PIB). La méthodologie utilisée repose sur le Système européen de statistiques intégrées de la protection sociale (SESPROS).

de: Finanzen der sozialen Sicherheit in der Schweiz: Gesamtausgaben, Leistungen und Gesamteinnahmen, in % des BIP

de: Die Tabelle zeigt die wichtigsten Aggregate der Finanzen der sozialen Sicherheit in der Schweiz. Monetäre Werte werden hier als Prozentsatz des Bruttoinlandsprodukts (BIP) ausgedrückt. Die verwendete Methodik basiert auf dem Europäischen System der Integrierten Sozialschutzstatistik (ESSOSS).

securite-sociale

display_name: securite-sociale

segirezza-sociala

display_name: segirezza-sociala

sicurezza-sociale

display_name: sicurezza-sociale

social-security

display_name: social-security

soziale-sicherheit

display_name: soziale-sicherheit

social-security

fr: Protection sociale

de: Soziale Sicherheit

en: Social security

it: Sicurezza sociale


fr: Violence domestique: Personnes lésées selon la nationalité et le statut de séjour

de: Häusliche Gewalt: Geschädigte Personen nach Staatszugehörigkeit und Aufenthaltsstatus

crime-and-criminal-justice

display_name: crime-and-criminal-justice

criminalita-e-diritto-penale

display_name: criminalita-e-diritto-penale

criminalitad-e-dretg-penal

display_name: criminalitad-e-dretg-penal

criminalite-et-droit-penal

display_name: criminalite-et-droit-penal

kriminalitat-und-strafrecht

display_name: kriminalitat-und-strafrecht

crime

fr: Criminalité, droit pénal

de: Kriminalität, Strafrecht

en: Crime, criminal justice

it: Criminalità, diritto penale

bundesamt-fur-statistik-bfs

de: Bundesamt für Statistik BFS


fr: Consultations de victimes selon la relation auteur-victime

de: Das BFS ist das nationale Kompetenzzentrum der öffentlichen Statistik der Schweiz. Es produziert und publiziert statistische Informationen über den Stand und die Entwicklung von Bevölkerung, Wirtschaft, Gesellschaft, Bildung, Forschung, Raum und Umwelt. Diese Informationen dienen der Meinungsbildung in der Bevölkerung sowie der Planung und Steuerung von zentralen Politikbereichen. Sie leisten einen wichtigen Beitrag für einen modernen, demokratischen Staat.


fr: Les comptes des branches du secteur primaire, branche pêche et pisciculture: séquence comptable selon l'optique des entreprises

de: Branchenkonten des Primärsektors, Branche Fischerei und Fischzucht: Kontensequenz aus Perspektive der Unternehmen

agricoltura-e-selvicoltura

display_name: agricoltura-e-selvicoltura

agricultura-ed-economia-forestala

display_name: agricultura-ed-economia-forestala

agriculture-and-forestry

display_name: agriculture-and-forestry

agriculture-et-sylviculture

display_name: agriculture-et-sylviculture

land--und-forstwirtschaft

display_name: land--und-forstwirtschaft

agriculture

fr: Agriculture, sylviculture

de: Land- und Forstwirtschaft

en: Agriculture, forestry

it: Agricoltura, selvicoltura


fr: Changement de la situation familiale, de 1985 à 2022

de: Änderung der Familiensituation, 1985-2022

bevolkerung

display_name: bevolkerung

popolazione

display_name: popolazione

population

display_name: population

populaziun

display_name: populaziun

population

fr: Population

de: Bevölkerung

en: Population

it: Popolazione


fr: Dépenses fédérales en faveur des paiements directs

de: Bundesausgaben für Direktzahlungen

bundesamt-fur-statistik-bfs

fr: Office fédéral de la statistique OFS


fr: Degré tertiaire, hautes écoles universitaires: titres délivrés selon le canton de domicile avant le début des études

de: Tertiärstufe, universitäre Hochschulen: Bildungsabschlüsse nach Wohnkanton vor Studienbeginn

bildung-und-wissenschaft

display_name: bildung-und-wissenschaft

education-and-science

display_name: education-and-science

education-et-science

display_name: education-et-science

formazione-e-scienza

display_name: formazione-e-scienza

furmaziun-e-scienza

display_name: furmaziun-e-scienza

fr: L'OFS est le centre de compétence de la statistique publique suisse. Il produit des informations statistiques sur la population, l'économie, la société, la formation et la recherche, le territoire et l'environnement. Ces informations servent à la formation de l’opinion publique. Elles sont un outil de planification et de gouvernance dans tous les domaines de l’action politique et contribuent au bon fonctionnement de notre État moderne et démocratique.


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.

kanton-zuerich

capacity: public

value: ZH-Kt Fachstelle OGD - DCAT Harvester

de: Web Service des Metadatenkatalogs des Kantons Zürich


geography

fr: Géographie

de: Geographie

en: Geography

it: Geografia

territory

fr: Territoire et environnement

de: Raum und Umwelt

de: abfall altlasten betriebe boden eigentumsbeschrankungoreb risiken umweltbeobachtung umweltschutz wirtschaftliche-aktivitaten

label: geocat.ch permalink

spatial: Kanton Luzern

protocol: https

de: Datenshop

de: Produktansicht Geodatenshop

format: SERVICE

de: Altlasten sind belastete Standorte, die wegen der Auswirkungen auf die Umwelt saniert werden müssen.

fr: Géoinformation du canton de Lucerne

de: Geoinformation Kanton Luzern

en: Geoinformation Canton of Lucerne

it: Geoinformazione del Cantone di Lucerna

fr: La géoinformation du canton de Lucerne est responsable de la collecte, du traitement et de la gestion des données à référence spatiale. Elle dirige, coordonne et surveille les travaux de la géoinformation et de la mensuration officielle.

en: Geoinformation of the Canton of Lucerne is responsible for the collection, processing and management of spatial data. It manages, coordinates and monitors the work of geoinformation and of the cadastral surveying.

de: Die Geoinformation des Kantons Luzern ist für die Erhebung, Verarbeitung und Verwaltung von raumbezogenen Daten zuständig. Sie leitet, koordiniert und überwacht die Arbeiten der Geoinformation und der amtlichen Vermessung.

it: La Geoinformation del Cantone di Lucerna è responsabile della raccolta, dell'elaborazione e della gestione dei dati territoriali. Gestisce, coordina e monitora il lavoro della geoinformazione e della misurazione ufficiale.

value: LU-Kt - Geocat Harvester

de: Kataster der belasteten Standorte (KbS)


av-fixpunkte-reduziertes-datenmodell

title_for_slug: av-fixpunkte-reduziertes-datenmodell

de: amtliche-vermessungav fixpunkte geodasie grundbuch

de: Daten der amtlichen Vermessung (MOpublic): Lage- und Höhenfixpunkte (national, kantonal, kommunal), mit reduziertem Datenmodell für Feldinstrumente.

de: AV Fixpunkte, reduziertes Datenmodell


de: artenschutz biodiversitat lebensraum naturschutz

de: Landwirtschaftliche Vernetzungsprojekte zur Erhaltung und Förderung der natürlichen Artenvielfalt auf der landwirtschaftlichen Nutzfläche.

name: Dienststelle Landwirtschaft und Wald (lawa)

de: Vernetzungsprojekte


fr: Statistique de la superficie 1979 à ce jour

de: Arealstatistik 1979 - aktuell

fr: Les descriptions des variables du fichier CSV sont disponibles dans l'annexe.

de: Die Beschreibungen der Variablen in der CSV-Datei sind im Anhang verfügbar.

basas-statisticas-e-survistas

display_name: basas-statisticas-e-survistas

bases-statistiques-et-generalites

display_name: bases-statistiques-et-generalites

grundlagen-und-ubersichten

display_name: grundlagen-und-ubersichten

statistical-basis-and-overviews

display_name: statistical-basis-and-overviews

statistical-basis

fr: Bases statistiques

de: Statistische Grundlagen

bundesamt-fur-statistik-bfs

de: Bundesamt für Statistik BFS

de: Das BFS ist das nationale Kompetenzzentrum der öffentlichen Statistik der Schweiz. Es produziert und publiziert statistische Informationen über den Stand und die Entwicklung von Bevölkerung, Wirtschaft, Gesellschaft, Bildung, Forschung, Raum und Umwelt. Diese Informationen dienen der Meinungsbildung in der Bevölkerung sowie der Planung und Steuerung von zentralen Politikbereichen. Sie leisten einen wichtigen Beitrag für einen modernen, demokratischen Staat.


maintainer: Alexander Kral

de: json

de: Leerwohnungsziffer nach Zimmerzahl, Gemeinde und Jahr (seit 2002) (json)

de: csv

de: Leerwohnungsziffer nach Zimmerzahl, Gemeinde und Jahr (seit 2002) (csv)

de: Leerwohnungsziffer (leer stehende Wohnungen im Verhältnis zum Wohnungsbestand des Vorjahres) am 1. Juni des jeweiligen Jahres

leerstandsziffer

display_name: leerstandsziffer

leerwohnungsquote

display_name: leerwohnungsquote

quote

display_name: quote

construction

fr: Construction, logement

de: Bau- und Wohnungswesen

kanton-basel-landschaft

fr: Canton de Bâle-Campagne

de: Kanton Basel-Landschaft

en: Canton of Basel-Country

it: Cantone di Basilea-Campagna

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

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

value: BL - DCAT


maintainer: Statistisches Amt des Kantons Zürich, Data Shop

label: Team "Data" des Kantons Zürich

label: Vorbereiteter Code in R oder Python für jedes Dataset mit csv-Datei(en)

de: Anfragestatistik des Data Shop im Statistischen Amt des Kantons Zürich ab 2015

de: Spaltenüberschriften: 'id' = Nummer der Anfrage; 'erfassung' = Datum- und Zeitstempel der Anfragenerfassung; 'nutzertyp' = Nutzertyp der Anfrage; 'anfragetyp' = Anfragetyp; 'thema' = Thema der Anfrage; 'kanal' = Eingangskanal der Anfrage; 'zeitaufwand' = Geschätzter Aufwand in Minuten, um die Anfrage zu beantworten (erhoben ab 29.11.2017)

de: Anfragestatistik des Data Shop im Statistischen Amt des Kantons Zürich - kontrollierte Vokabulare

de: Die Abteilung «Data» des Statistischen Amts ist die Anlaufstelle für alle Fragen zu statistischen Informationen. Das Team bewirtschaftet das statistische Grundangebot des Kanton Zürich und bietet Nutzenden kostenlose Auskunft und Beratung zu Anfragen per Telefon oder E-Mail. Seit 2015 werden Anfragen mit Metadaten erfasst und in einer Anfragenstatistik archiviert.

national-economy

de: Volkswirtschaft

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: Radio: Die wichtigsten Sender in der Schweiz

fr: Radio: Principales chaînes en Suisse

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

bundesamt-fur-statistik-bfs

de: Bundesamt für Statistik BFS


de: Phosphorbilanz der Landwirtschaft

fr: Bilan de phosphore de l'agriculture

agricoltura-e-selvicoltura

display_name: agricoltura-e-selvicoltura

agricultura-ed-economia-forestala

display_name: agricultura-ed-economia-forestala

agriculture-and-forestry

display_name: agriculture-and-forestry

agriculture-et-sylviculture

display_name: agriculture-et-sylviculture

land--und-forstwirtschaft

display_name: land--und-forstwirtschaft

agriculture

fr: Agriculture, sylviculture

de: Land- und Forstwirtschaft

de: Das BFS ist das nationale Kompetenzzentrum der öffentlichen Statistik der Schweiz. Es produziert und publiziert statistische Informationen über den Stand und die Entwicklung von Bevölkerung, Wirtschaft, Gesellschaft, Bildung, Forschung, Raum und Umwelt. Diese Informationen dienen der Meinungsbildung in der Bevölkerung sowie der Planung und Steuerung von zentralen Politikbereichen. Sie leisten einen wichtigen Beitrag für einen modernen, demokratischen Staat.


amenagement-cyclable

title_for_slug: amenagement-cyclable

name: Service de la mobilité et de l’aménagement des espaces publics Ville de Lausanne, Gestionnaire de la donnée

name: Frédéric Ducry, Responsable de diffusion

label: Métadonnée sur geocat.ch

label: Métadonnée complète sur viageo.ch

spatial: Lausanne

fr: Guichet cartographique de Lausanne

media_type: SERVICE

fr: Guichet en ligne : Guichet cartographique de Lausanne

fr: Aménagement cyclable (CSV)

media_type: CSV

fr: Télécharger sur viageo.ch

fr: Aménagement cyclable (SHP)

media_type: SHP

format: SHP

fr:
Données des aménagements cyclables de la commune de Lausanne.
Contient les aménagements, les emplacements en libre-service, les pompes et les parkings pour vélos.

geography

de: Geographie

mobility

fr: Mobilité et transports

de: Mobilität und Verkehr

en: Mobility and Transport

it: Mobilità e trasporti

lausanne

fr: Ville de Lausanne

fr: Le service de la mobilité et de l’aménagement des espaces publics (MAP) de la Ville de Lausanne publie ses géodonnées sous forme de fichiers à télécharger. Toutes les géodonnées actuellement disponibles et soumises aux conditions générales d'aquisition et d'utilisation des géodonnées de base en libre accès sont listées ici.

value: Stadt Lausanne - DCAT Harvester

fr: Aménagement cyclable


waldflachen

geography

fr: Géographie

territory

fr: Territoire et environnement

de: Raum und Umwelt

en: Territory and environment

it: Territorio e ambiente

title_for_slug: waldflachen

de: forstwirtschaft nutzungsplanung vegetation wald

de: Datenshop

de: Produktansicht Geodatenshop

de: Wald nach Waldrecht, dieser umfasst unter anderem auch Waldstrassen, Gewässer und Gebäude innerhalb des Waldes.

fr: Géoinformation du canton de Lucerne

de: Geoinformation Kanton Luzern

fr: La géoinformation du canton de Lucerne est responsable de la collecte, du traitement et de la gestion des données à référence spatiale. Elle dirige, coordonne et surveille les travaux de la géoinformation et de la mensuration officielle.

de: Die Geoinformation des Kantons Luzern ist für die Erhebung, Verarbeitung und Verwaltung von raumbezogenen Daten zuständig. Sie leitet, koordiniert und überwacht die Arbeiten der Geoinformation und der amtlichen Vermessung.

de: Waldflächen


fr: votation federal

de: abstimmung national

it: nazionale votazione

label: Description du format

label: Descripziun dal format

label: Formatbeschreibung

label: Descrizione del formato

identifier: csv

identifier: json

rm: Resultats finals da la votaziun federala "Änderung vom 15. Juni 2012 des Bundesgesetzes über die Raumplanung", 3 da mars 2013, Kanton Basel-Landschaft, ordinà tenor vischnancas.

fr: Résultats finaux du vote fédéral "Änderung vom 15. Juni 2012 des Bundesgesetzes über die Raumplanung", 3 mars 2013, Kanton Basel-Landschaft, répartis par municipalités.

de: Schlussresultate der eidgenössischen Abstimmung "Änderung vom 15. Juni 2012 des Bundesgesetzes über die Raumplanung", 3. März 2013, Kanton Basel-Landschaft, aufgeschlüsselt nach Gemeinden.

it: Risultati finali della votazione federale "Änderung vom 15. Juni 2012 des Bundesgesetzes über die Raumplanung", 3 marzo 2013, Kanton Basel-Landschaft, 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

kanton-basel-landschaft

fr: Canton de Bâle-Campagne

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


name: Schweizerisches Landesforstinventar. Eidgenössische Forschungsanstalt WSL

spatial: Switzerland

fr: SPARQL Endpoint avec présélection du graphe

de: SPARQL Endpoint mit Vorauswahl des Graph

en: SPARQL Endpoint with graph preselection

it: SPARQL Endpoint con preselezione del grafo

media_type: application/sparql-query

format: SPARQL

mimetype: application/sparql-query

fr: SPARQL Endpoint avec présélection des données

de: SPARQL Endpoint mit Vorauswahl der Daten

en: SPARQL Endpoint with data preselection

it: SPARQL Endpoint con preselezione del dati

fr: L'inventaire forestier national (IFN) est un relevé périodique de l'état et de l'évolution de la forêt suisse. Il est le fruit d'une étroite collaboration entre l'Office fédéral de l'environnement (OFEV) et l'Institut fédéral de recherches sur la forêt, la neige et le paysage (WSL). Cet ensemble de données contient des informations sur: surface terrière du bois mort par surface forestière, volume du bois mort et volume du bois mort par surface forestière

de: Das Landesforstinventar (LFI) ist eine periodische Erhebung über den Zustand und die Entwicklung des Schweizer Waldes und entsteht in enger Zusammenarbeit zwischen dem Bundesamt für Umwelt (BAFU) und der Eidgenössischen Forschungsanstalt für Wald, Schnee und Landschaft (WSL). Dieser Datensatz enthält Informationen über: Totholzbasalfläche pro Waldfläche, Totholzvolumen und Totholzvolumen pro Waldfläche

en: The National Forest Inventory (NFI) is a periodic survey of condition and development of the Swiss forest. It is produced in close cooperation between the Federal Office for the Environment (FOEN) and the Swiss Federal Institute for Forest, Snow and Landscape Research (WSL). This record contains information about: basal area of deadwood per forest area, volume of dead wood and volume of dead wood per forest area

it: L'inventario forestale nazionale (IFN) è un'indagine periodica sullo stato e sullo sviluppo delle foreste svizzere ed è realizzato in stretta collaborazione tra l'Ufficio federale dell'ambiente (UFAM) e l'Istituto federale di ricerca per la foresta, la neve e il paesaggio (WSL). Questo registro contiene informazioni su: area basimetrica del legno morto per superficie forestale, volume di legno morto e volume di legno morto per superficie forestale

forestry

display_name: forestry

forstwirtschaft

display_name: forstwirtschaft

selvicoltura

display_name: selvicoltura

sylviculture

display_name: sylviculture

agriculture

fr: Agriculture, sylviculture

de: Land- und Forstwirtschaft

bundesamt-fur-umwelt-bafu

fr: Office fédéral de l'environnement OFEV

de: Bundesamt für Umwelt BAFU

en: Federal Office for the Environment FOEN

it: Ufficio federale dell'ambiente UFAM

fr: L’autorité compétente pour les questions environnementales. Il est à ce titre chargé de gérer les ressources naturelles selon les principes du développement durable et de protéger l’homme contre les dangers naturels et l’environnement contre les pollutions.

de: Die Fachbehörde für die Umwelt. Es ist zuständig für die nachhaltige Nutzung der natürlichen Ressourcen sowie für den Schutz des Menschen vor Naturgefahren und den Schutz der Umwelt vor übermässigen Belastungen.

en: The federal environmental authority. It is responsible for ensuring that natural resources are used sustainably, that the public is protected against natural hazards, and that the environment is protected from unacceptable adverse impacts.

it: Il servizio specializzato in materia ambientale, è competente per quanto riguarda l'utilizzazione sostenibile delle risorse naturali, la protezione delle persone dai pericoli naturali e dell'ambiente da un inquinamento eccessivo.

value: LINDAS DCAT Harvester BAFU

fr: IFN: Thème par état de l'arbre (sur pied/ à terre)

de: LFI: Themen nach Baumzustand (stehend/liegend)

en: NFI: Topics by tree state (standing/lying)

it: IFN: Argomento per stato dell'albero (in piedi/a terra)


landw-bewirtschaftung-nutzungsflachen

agriculture

en: Agriculture, forestry

it: Agricoltura, selvicoltura

geography

de: Geographie

title_for_slug: landw-bewirtschaftung-nutzungsflachen

de: biodiversitat bodenbedeckung bodennutzung landwirtschaft landwirtschaftliche-nutzung wirtschaftliche-aktivitaten

de: Datenshop

de: Produktansicht Geodatenshop

de: Nutzungen auf den landwirtschaftlichen Flächen

de: Landw. Bewirtschaftung: Nutzungsflächen


maintainer: Matthias Haeni

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

en: Data plot of the forest station (VSB)

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

en: Field station data (VSF)

en: Data file.

en: Site aerial photo (Visp)

media_type: image/jpeg

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

mimetype: image/jpeg

en: Site photo of the forest station (VSB)

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

en: Data plot of the field station (VSF)

en: Site photo of the field station (VSF)

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

en: Forest station data (VSB)

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 Visp in Switzerland where one station is located within a natural mixed forest stand (VSB) with Scots pine (_Pinus sylvestris_; 40-80 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, VSF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Visp is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed

education

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


en: landscape urban-ecology electrodermal-activity sense-of-place place-attachment

en: 04. Scripts

media_type: ZIP

en: 02. Questionnaire Data

en: 01. EDA Processed Data

en: 05. Visuals

en: 00. EDA Raw Data

en: 03. Publication Ready Data

en: This repository contains data on EDA measurements of visitors with different cultural backgrounds in virtual urban park settings. The parks are a Persian garden (Shiraz, Iran) and a historical park in Zurich, Switzerland. The cultural background of the visitors is Persian and Central European. The repository contains raw data from EDA, processed time series and statistical procedures.

electrodermal-activity

display_name: electrodermal-activity

landscape

display_name: landscape

place-attachment

display_name: place-attachment

sense-of-place

display_name: sense-of-place

urban-ecology

display_name: urban-ecology

en: Electrodermal Activity (EDA) of Bi-cultural Visitors In Virtual Park Settings


maintainer: EnviDat Support

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

en: Site photo of the forest station (NEB)

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

en: Site photo of the field station (NEF)

en: Data plot of the field station (NEF)

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

en: Forest station data (NEB)

en: Data file.

en: Field station data (NEF)

en: Data plot of the forest station (NEB)

en: Site aerial photo (Neunkirch)

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

en: 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.

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


aerosol-data-davos-wolfgang

title_for_slug: aerosol-data-davos-wolfgang

en: particles inp aerosol drincz ice-nucleation raclets

en: APS Dataset Davos Wolfgang

media_type: application/x-netcdf

en: The APS file contains aerosol data (total number concentration, median, mean, geometric mean, mode and geometric standard deviation of the size distribution) for aerodynamic diameters between 0.5 μm and ~20 μm as well as instrument characteristics, in a temporal resolution of 20 seconds, with time in UTC, measured at Davos Wolfgang.

mimetype: application/x-netcdf

en: SMPS Dataset Davos Wolfgang

en: The SMPS file contains aerosol data (particle concentration, total number concentration, median, mean, geometric mean, mode and geometric standard deviation of the size distribution) in a size range between 12 and 460 nm (electrical mobility diameter) as well as instrument characteristics (sample temperature, pressure, relative humidity, mean free path and gas viscosity), in a temporal resolution of 2 minutes, with time in UTC, measured at Davos Wolfgang.

en: OPC-N3 Dataset Davos Wolfgang

en: Particle concentrations in a size range of 0.35 μm to 40 μm were measured with an OPC-N3 (Alphasense, Inc.) in a resolution of 20 seconds (time in UTC). PM₁, PM₂,₅ and PM₁₀ were directly derived.

en: DRINCZ Dataset Davos Wolfgang

en: The DRINCZ file contains information on temperature (in °C) dependent frozen fractions, number of Ice Nuleating Particles (INP, per standard liter) and differential INP concentrations (per standard liter and Kelvin).

en: OPC GT-526S Dataset Davos Wolfgang

en: Particle counts were recorded in six size channels (0.3, 0.5, 0.8, 1.5, 2.5 and 5 μm) in a resolution of 20 seconds (time in UTC) by a particle counter (GT-526S, Met One Instruments, Inc.).

en:
Aerosol properties were measured between February 8 and March 31 2019 at the measurement site Davos Wolfgang (LON: 9.853594, LAT: 46.835577). Optical and aerodynamic particle counters, as well as a scanning mobility particle size spectrometer and an ice nuclei counter were deployed to report particle concentrations and size distributions in fine (10-1000 nm) and coarse mode (> 1000 nm), cloud condensation nuclei concentrations (CCNCs) and ice nuclei particle concentrations (ICNCs). The ambient particles were transported via a heated inlet to be distributed to the particle detecting devices inside the setup room.

Optical Particle Counter (OPC): Light scattering of a diode laser beam caused by travelling particles is used in the both, the OPC-N3 (0.41 - 38.5 μm) and GT-526S (0.3 – 5 μm), to determine their size and number concentration. For the OPC-N3, particle size spectra and concentration data are used afterwards to calculate PM₁, PM₂,₅ and PM₁₀ (assumptions: particle density: 1.65 g cmˉ³, refractive index: 1.5+i0).

Aerodynamic Particle Sizer (APS): The APS (3321, TSI Inc.) measured the particle size distribution for aerodynamic diameters between 0.5 μm and ~20 μm by the particle’s time-of-flight and light-scattering intensity (assumptions: particle density 1 g cmˉ³).

Scanning Mobility Particle Size Spectrometer (SMPS): Particle number concentrations in a size range between 12 and 460 nm (electrical mobility diameter) were measured at Davos Wolfgang, using a Scanning Mobility Particle Sizer Spectrometer (3938, TSI Inc.). The classifier (3082, TSI Inc.) was equipped with a neutralizer (3088, TSI Inc.) and a differential mobility analyzer working with negative polarity (3081, TSI Inc.). The size selected particles were counted by a water-based condensation particle counter (3788 , TSI Inc.). The TSI AIM software was used to provide particle size distributions by applying multiple charge and diffusion loss corrections (assumptions: particle density 1 g cmˉ³).

Coriolis μ and DRINCZ: A microbial air sampler (Coriolis μ, bertin Instruments) was used to collect airborne particles for investigating their ice nucleating ability with a droplet freezing device. Particles larger than 0.5 μm were drawn with an air flow rate of up to 300 l minˉ¹ into the cone and centrifuged into the wall of the cone due to the forming vortex. The liquid sample was transferred into the DRoplet Ice Nuclei Counter Zurich (DRINCZ, ETH Zurich) to study heterogeneous ice formation (immersion freezing mode) of ambient airborne particles.

aerosol

display_name: aerosol

drincz

display_name: drincz

ice-nucleation

display_name: ice-nucleation

inp

display_name: inp

particles

display_name: particles

raclets

display_name: raclets

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: Aerosol Data Davos Wolfgang


maintainer: Thorsten Bartels-Rausch

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

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

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

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

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

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

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

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

antartic

display_name: antartic

arctic

display_name: arctic

cryosphere

display_name: cryosphere

laboratory-study

display_name: laboratory-study

polar

display_name: polar

sea-salt-aerosol

display_name: sea-salt-aerosol

snow

display_name: snow

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


maintainer: Adam Winstral

en: jules-investigation-model jim snow-depth snow snow-simulation

en: Station forcing data

en: All forcing data need to run JIM at HS and SWE stations. These are data downscaled directly from COSMO NWP data (WY14, WY15) and further enhanced by additional station observations of snow depth (HS) and air temperature (Ta) in WY17. Further information can be found in README file. Note that in WY14 and WY15, shortwave radiation was not split into direct and diffuse (not necessary for JIM) and that the default method in JIM for splitting precipitation phase was used. In WY 17, direct and diffuse were combined as input to JIM and JIM was forced with pre-processed liquid and solid precipitation phases.

en: HS and SWE observations

en: Automated (HS) and manual (SWE) data used to evaluate model simulations

media_type: text/plain

en: File/data descriptor

format: TXT

mimetype: text/plain

en: DEM

en: 1-km resolution DEM used for downscaling gridded NWP data to stations and for distributing BDE evaluations at HS-stations to SWE-stations

en: These data were used to drive and evaluate Jules Investigation Model (JIM) snow simulations. The data provided are the forcing data used for the "deterministic" runs as described in Winstral et al., 2019. The bias-detecting ensemble (Winstral et al., 2019) used observed snow depths (HS) to detect biases in these deterministic simulations related to precipitation and energy inputs to JIM. Simulations that included the BDE evaluations substantially improved JIM simulations.

jim

display_name: jim

jules-investigation-model

display_name: jules-investigation-model

snow-depth

display_name: snow-depth

snow-simulation

display_name: snow-simulation

en: Meteorological data used to develop and validate the bias-detecting ensemble (BDE)


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

en: Postprocessing

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

en: StaticData

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

en: WRFrun

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

en: COSMO-WRF documentation v1.0

media_type: PDF

en:
Gerber, Franziska; Sharma, Varun (2018). Running COSMO-WRF on very-high resolution over complex terrain. EnviDat. doi:10.16904/envidat.35

Documentation about the procedure to run COSMO-WRF

en: WPSSetup

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

en: MeteorologicalData

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

en: WPSrun

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

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

complex-terrain

display_name: complex-terrain

cosmo-wrf

display_name: cosmo-wrf

high-resolution

display_name: high-resolution

meteoswiss

display_name: meteoswiss

numerical-simulation

display_name: numerical-simulation

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.


maintainer: Mahdi Jafari

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

en: snowpackBuoyantPimpleFoam

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

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

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

convection-in-snow

display_name: convection-in-snow

openfoam

display_name: openfoam

snow-density-profile

display_name: snow-density-profile

vapor-transport

display_name: vapor-transport

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


maintainer: Marco Moretti

en: pollinator-experiment gardens urban-biodiversity resource-availability bettergardens urbanization wild-bees honeybees city4bees beekeeping urban-ecosystems zurich

media_type: .csv

en: Response and predictors used for the SEMs

en:
The data contains the following columns:

  SiteID: numeric, the identity of the garden where the bee was sampled.
  Taxonname: character, species name
  Lecty: numeric discreet, a mesure of specialisation degree. Levels: 1 = monolectic; 2=oliolectic; 3=polilectic
  Pheno.start= numeric discreet, the starting week of the flying activity.
  Pheno.end= numeric discreet, the ending week of the flying activity.
  Pheno.duration=numeric discreet, Pheno.end - Pheno.start
  Daytime.activity = numeric continuous, individual-level measure of the day hour when the bee was sampled
  ITD = numeric continuous, individual-level measure of the InterTegular Distance, a metric of mobility in mm.
  Rel.tongue.length =numeric continuous, individual-level measure of the relative tongue length (Tongue length / ITD), a metric of specilaisation degree, in mm.

en: Metadata for the predictors and response dataset

en: Metadata for the predictor and response dataset

en:
Mean, standard deviation , minimum and maximum values of six functional traits. The data has the following structure:
- Bee_species: bee scientific name
- mean_trait: mean value
- sd_trait: standard deviation
_min_trait: minimum value
- max_trait: maximum value
- trait: the six traits used. ITD = Intertegular distance (mm); Pheno.duration = duration of the phenology; Pheno.start = start of the phenology; Pheno.end = end of the phenology; Rel.tongue.length= relative tongue length (mm); Daytime.activity = daily activity (h)
DistNichePart: functional dissimilarity in a multidimentional trait space defined by five traits between wild bee individuals of a wild bee species and the honeybee individuals. Values are at the species level.

en:
Cities are socio-ecological systems that filter and select species, thus establishing unique species assemblages and biotic interactions. Urban ecosystems can host richer wild bee communities than highly intensified agricultural areas, specifically in resource-rich urban green spaces such as allotment and family gardens. At the same time, urban beekeeping has boomed in many European cities, raising concerns that the fast addition of a large number of managed bees could deplete the existing floral resources, triggering competition between wild bees and honeybees. The data has been used to investigated the interplay between resource availability and the number of honeybees at local and landscape scales and how this relationship influences wild bee diversity.

This dataset contains the raw and processed data supporting the findings from the paper: "Low resource availability drives feeding niche partitioning between wild bees and honeybees in a European city".

The data contains:
1. Bee trait measurements at the species and individual-level of five functional traits.
2. The values of the feeding niche partitioning (functional dissimilarity to honeybees)
3. The predictors of resource availability and beekeeping intensity at local and landscape scales used in the modelling of the paper for the 23 experimental sites.

beekeeping

display_name: beekeeping

bettergardens

display_name: bettergardens

gardens

display_name: gardens

honeybees

display_name: honeybees

pollinator-experiment

display_name: pollinator-experiment

resource-availability

display_name: resource-availability

urban-biodiversity

display_name: urban-biodiversity

urban-ecosystems

display_name: urban-ecosystems

urbanization

display_name: urbanization

wild-bees

display_name: wild-bees

zurich

display_name: zurich

en: Niche partitioning between wild bees and honeybees


maintainer: Ana Beatriz Pierri Daunt

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

en: 1. Frequency of early concepts.

en: 6. Protocol

media_type: XLSX

en: 3. Use of any early concept.

en: 5. Planning steps.

en: 4. Use of any additional concept.

en: 2. Frequency of additional concepts.

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

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

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

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

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

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

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

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

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

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

decision-making

display_name: decision-making

ecosystem-services

display_name: ecosystem-services

green-infrastructure

display_name: green-infrastructure

landscape-ecology

display_name: landscape-ecology

landscape-perception

display_name: landscape-perception

landscape-planning

display_name: landscape-planning

landscape-services

display_name: landscape-services

literature-review

display_name: literature-review

multifunctionality

display_name: multifunctionality

pdfsearch

display_name: pdfsearch

planning

display_name: planning

resilience

display_name: resilience

sense-of-place

display_name: sense-of-place

socio-ecological-system

display_name: socio-ecological-system

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


maintainer: Leonie Schönbeck

en: pinus-sylvestris drought acclimation gas-exchange vpd photosynthesis fluorescence

en: Methods diurnal measurements

en:
Parameters and methodology for diurnal measurements

Metadata format from
Ely et al (2021). A reporting format for leaf-level gas exchange data and metadata. Ecological Informatics. https://doi.org/10.1016/j.ecoinf.2021.101232

en: Pfynwald gas exchange

en:
Full dataset of Pfynwald gas exchange data taken in the period from June 2013 to October 2020.
All metdata can be found in attached documents.
Data uploaded after quality control using guidelines by Ely et al (2021). A reporting format for leaf-level gas exchange data and metadata. Ecological Informatics. https://doi.org/10.1016/j.ecoinf.2021.101232

en: Instrument details

en:
Instrument details for all LiCor instruments used during collection of dataset.

Metatdata created following guidelines from
Ely et al (2021). A reporting format for leaf-level gas exchange data and metadata. Ecological Informatics. https://doi.org/10.1016/j.ecoinf.2021.101232

en: Methods ACi curves

en:
Parameters and methods for CO2 response curves of Photosynthesis.

Metatdata format by
Ely et al (2021). A reporting format for leaf-level gas exchange data and metadata. Ecological Informatics. https://doi.org/10.1016/j.ecoinf.2021.101232

en: Methods survey

en: Parameters and methods for point measurements / survey measurements

en: Methods fluorescence

en:
Parameters and methodology for Fluorescence measurements

Metadata format from
Ely et al (2021). A reporting format for leaf-level gas exchange data and metadata. Ecological Informatics. https://doi.org/10.1016/j.ecoinf.2021.101232

en: Methods light response

en: Methods and parameters for light response curves

en: Variable names and units

en: Variable names, description and units for the Pfynwald Gas exchange data

en:
Gas exchange was measured on control, irrigated and irrigation-stop trees at the irrigation experiment Pfynwald, during the years 2013, 2014, 2016-2020. The measurement campaigns served different purposes, resulting in a large dataset containing survey data, CO2 response curves of photosynthesis, light response curves of photosynthesis, and fluorescence measurements. Measurements were done with LiCor 6400 and LiCor 6800 instruments. Until 2016, measurements were done on excised branches or branches lower in the canopy. From 2016 onwards, measurements were done in the top of the canopy using fixed installed scaffolds.
All metadata can be found in the attached documents.

acclimation

display_name: acclimation

drought

display_name: drought

fluorescence

display_name: fluorescence

gas-exchange

display_name: gas-exchange

photosynthesis

display_name: photosynthesis

pinus-sylvestris

display_name: pinus-sylvestris

vpd

display_name: vpd

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: 2013-2020 gas exchange at Pfynwald


maintainer: Franziska Koch

en: snow-cover snow snow-depth liquid-water-content gps

en: Dataset with GPS-derived snow cover properties and validation data

en: This file includes the data as described in the Read-me file.

en: Read-me

en: The read-me file contains the description of the data provided.

en:
This data set includes GPS-derived snow water equivalent (SWE), snow depth (HS) and liquid water content (LWC) data for three entire snow-covered seasons (2015-2016, 2016-2017, 2017-2018) at the study plot Weissfluhjoch 2540 m a.s.l. (Davos, Switzerland). The procedure to derive these snow properties is described in Koch et al. (2019). The novel approach is based on a combination of GPS signal attenuation and time delay.

The dataset also includes corresponding validation data for SWE and HS measured at Weissfluhjoch, and some additional meteorological data used for interpretation of the snow cover evolution.

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

These data are the basis of the following publication:
> Koch, F., Henkel, P., Appel, F., Schmid, L., Bach, H., Lamm, M., Prasch, M., Schweizer, J., and Mauser, W., 2019. Retrieval of snow water equivalent, liquid water content and snow height of dry and wet snow by combining GPS signal attenuation and time delay. Water Resources Research, 55(5), 4465-4487. https://doi.org/10.1029/2018WR024431

gps

display_name: gps

liquid-water-content

display_name: liquid-water-content

snow

display_name: snow

snow-cover

display_name: snow-cover

snow-depth

display_name: snow-depth

en: GPS-derived data of SWE, HS and LWC and corresponding validation data


maintainer: James W. Kirchner

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

en: 30-minute time series

en: 30-minute hydrometeorological and ecohydrological time series.

en: MODIS EVI2 script

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

en: Metadata

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

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: MODIS NDSI script

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

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

Data include 30-minute time series of

- weather variables,

- sap flow fluxes,

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

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

and daily time series of

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

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

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

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

diel-cycle

display_name: diel-cycle

diurnal-cycle

display_name: diurnal-cycle

ecohydrology

display_name: ecohydrology

evapotranspiration

display_name: evapotranspiration

groundwater

display_name: groundwater

sap-flow

display_name: sap-flow

snowmelt

display_name: snowmelt

streamflow

display_name: streamflow

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


global-cryosphere-watch-data-survey

maintainer: Mathias Bavay

title_for_slug: global-cryosphere-watch-data-survey

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

en: Data interoperability survey

en: Third party data usage

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

automatic-publication

display_name: automatic-publication

data-exchange

display_name: data-exchange

data-portal

display_name: data-portal

data-usage

display_name: data-usage

gcw

display_name: gcw

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal

en: 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: Global Cryosphere Watch data survey


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

en: Field station data (LAF)

en: Data file.

en: Site photo of the forest station (LAB)

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

en: Data plot of the forest station (LAB)

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

en: Forest station data (LAB)

en: Data plot of the field station (LAF)

en: Site aerial photo (Lausanne)

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

en: Site photo of the field station (LAF)

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

en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for two meteorological stations in Lausanne in Switzerland where one station is located within a natural mixed forest stand (LAB) with European beech (_Fagus sylvatica_; 160-170 yrs), European silver fir (_Abies alba_; 160-170 yrs) and Norway spruce (_Picea abies_; 160-170 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, LAF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Lausanne is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed

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


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

en: CHELSA Technical Documentation

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

en: Data Access

media_type: geotiff

format: GeoTIFF

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

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

air-temperature

display_name: air-temperature

century

display_name: century

climate

display_name: climate

climate-layers

display_name: climate-layers

free-climate-data

display_name: free-climate-data

maximum-temperature

display_name: maximum-temperature

minimum-temperature

display_name: minimum-temperature

timeseries

display_name: timeseries

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


en: natural-hazard satellite hazard-mapping snow avalanche

en: SPOT6 Avalanche outlines 24 January 2018

en: Shapefile of the manually mapped avalanche outlines. Please only use this data together with the example key document provided with this dataset.

en:
Outlines of 18'737 avalanches mapped from SPOT6 satellite data over the Swiss Alps on 24 January 2018. The outlines have different attributes described in the data example key (ExampleKey_AvalMapping.pdf)

The generation of the data is described in:

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

Abstract.
Accurate and timely information on avalanche occurrence are key for avalanche warning, crisis management and avalanche documentation. Today such information is mainly available at isolated locations provided by observers in the field. The achieved reliability considering accuracy, completeness and reliability of the reported avalanche events is limited. In this study we present the spatial continuous mapping of a large avalanche period in January 2018 covering the majority of the Swiss Alps (12’500 km2).

We tested different satellite sensors available for rapid mapping during a first avalanche period. Based on these experiences, we tasked SPOT6/7 data for data acquisition to cover the second, much larger avalanche period. We manually mapped the outlines of 18’737 individual avalanche events, applying image enhancement techniques to analyze regions in cast shadow as well as brightly illuminated ones. The resulting dataset of mapped avalanche outlines, having a unique completeness and reliability, is evaluated to produce maps of avalanche occurrence and avalanche size. We validated the mapping of the avalanche outlines using photographs acquired from helicopters just after the avalanche period.

This study demonstrates the applicability of optical, very high spatial resolution satellite data to map an exceptional avalanche period with very high completeness, accuracy and reliability over a large region. The generated avalanche data is of great value to validate avalanche bulletins, complete existing avalanche databases and for research applications by enabling meaningful statistics on important avalanche parameters.

Koordinate System: CH1903+ LV95 LN02

avalanche

display_name: avalanche

hazard-mapping

display_name: hazard-mapping

natural-hazard

display_name: natural-hazard

satellite

display_name: satellite

snow

display_name: snow