de: planung standort sachdaten messwerte punktdaten

de:
**Die Nachführung dieses Datensatzes wurde eingestellt. Stattdessen kann der folgende, wöchentlich aktualisierte, Datensatz [«Daten der automatischen Fuss- und Velozählung - Viertelstundenwerte»](https://data.stadt-zuerich.ch/dataset/verkehrszaehlungen-werte-fussgaenger-velo) verwendet werden.**

Die Zähldaten werden vom Tiefbauamt der Stadt Zürich in eigener Regie erhoben. Die permanenten Velozählstellen sind im gesamten Stadtgebiet installiert. Die Erfassung des Veloverkehrs erfolgt mittels im Strassenbelag eingelassenen Induktionsschlaufen. Bei der Überfahrt erzeugen die Felgen des Velos, sofern sie Metall enthalten, einen elektromagnetischen Impuls, wodurch die Zählung ausgelöst wird. Diese erfolgt vollständig anonym. Die Velodaten sind wichtige Analysegrundlagen zur Beurteilung des Veloaufkommens an den jeweiligen Standorten und deren langfristige Entwicklung. Sie bilden damit eine wichtige Datengrundlage zur Dokumentation der Bedeutung des Veloverkehrs und für die Erfolgskontrolle der Veloförderung.

messwerte

display_name: messwerte

planung

display_name: planung

punktdaten

display_name: punktdaten

standort

display_name: standort

name: Abteilung Mobilität + Verkehr, Tiefbauamt, Tiefbau- und Entsorgungsdepartement

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: Daten der permanenten Velozählstellen - Stundenwerte (Nachführung eingestellt)


maintainer: Open Data Zürich

de: sachdaten tabelle energie zeitreihe

state: active

type: dataset

media_type: text/csv

format: CSV

mimetype: text/csv

de:
Diese Datensätze beinhalten den totalen Bruttolastgang der abgegebenen elektrischen Energie in der Stadt Zürich als 15-Minuten Zeitreihe seit dem 1.1.2019.

Sie beinhalten die elektrische Energie aller Endverbraucher, die am Netz und am nachgelagerten Netz angeschlossen sind abzüglich der Verluste. Der Eigenbadarf eines Kraftwerkes sowie für den Antrieb von Pumpen in Pumpspeicherkraftwerken ist ausgenommen.

energie

display_name: energie

sachdaten

display_name: sachdaten

tabelle

display_name: tabelle

zeitreihe

display_name: zeitreihe

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».

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: Viertelstundenwerte zum Bruttolastgang elektrische Energie der Stadt Zürich, seit 2019


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

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

sasa

display_name: sasa

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: tabelle binnenmigration sasa quartier migration sachdaten zeitreihe

de: Anzahl Umzüge innerhalb der Stadt nach Stadtkreis und Stadtquartier nach Jahr, seit 1993.

binnenmigration

display_name: binnenmigration

migration

display_name: migration

population

fr: Population

de: Bevölkerung

en: Population

it: Popolazione

de: Umzüge innerhalb der Stadt nach Stadtkreis und Stadtquartier, seit 1993


de: liegenschaftenhandel sachdaten tabelle zeitreihe wohnungen-im-stockwerkeigentum handanderungen

de:
Diese Daten beinhalten die Medianpreise pro Quadratmeter Wohnfläche von im Freihandkauf gehandelten Wohnungen im Stockwerkeigentum in der Stadt Zürich nach Handänderungsjahr und Zimmerzahl. Zusätzlich sind noch die absoluten Preise von im Freihandgekauf gehandelten Wohnungen im Stockwerkeigentum nach Zimmerzahl aufgeführt.

Bitte beachten Sie für das korrekte Verständnis zu den Daten die unten aufgeführten weiteren Erläuterungen in der Rubrik **«Bemerkungen»**.

handanderungen

display_name: handanderungen

liegenschaftenhandel

display_name: liegenschaftenhandel

sachdaten

display_name: sachdaten

wohnungen-im-stockwerkeigentum

display_name: wohnungen-im-stockwerkeigentum

de: Wohnflächenpreise (Median) der im Freihandkauf umgesetzten Wohnungen im Stockwerkeigentum nach Zimmerzahl seit 2009


de: windgeschwindigkeit luftdruck regen echtzeit hr niederschlag tabelle feuchte umweltdaten sachdaten temperatur lufttemperatur luft meteo t_ wd zeitreihe kalte regendauer wetter wind global-strahlung p_ windrichtung luftfeuchte messwerte hitze wv

media_type: application/json

format: JSON

mimetype: application/json

de:
Der Datensatz umfasst **Tageswerte** **ab 1992 bis zum aktuellen Vortag** aufgeteilt in Jahresdateien. Darin enthalten sind die Stationen Stampfenbachstrasse, Schimmelstrasse und Rosengartenstrasse. Gemessen wird der Luftdruck (p), die Niederschlagsdauer (RainDur), die Globalstrahlung (StrGlo), die Temperatur (T) und die relative Luftfeuchtigkeit (Hr). Die Winddaten werden zur Zeit nicht auf Tageswerte gemittelt, sind aber im Datensatz "Stündlich aktualisierte Meteodaten, seit 1988" als Stundenwerte verfügbar.

Die Tageswerte des laufenden Jahres werden jeweils 30 Minuten nach Mitternacht (UTC+1) aktualisiert.

name: Messung Luftqualität, Umwelt- und Gesundheitsschutz, Gesundheits- und Umweltdepartement

stadt-zurich

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: Täglich aktualisierte Meteodaten, seit 1992


de: abbruch sachdaten quartier stistische-zone wohnen bauwesen tabelle neubau zeitreihe gwz bautatigkeit gebaude

de: Der Datensatz enthält die Anzahl fertiggestellter und abgebrochener Wohnungen nach Eigentumsart und statistischer Zone seit 2009.

abbruch

display_name: abbruch

bautatigkeit

display_name: bautatigkeit

gebaude

display_name: gebaude

gwz

display_name: gwz

neubau

display_name: neubau

stistische-zone

display_name: stistische-zone

tabelle

display_name: tabelle

zeitreihe

display_name: zeitreihe

de: Stadt Zürich

de: Fertiggestellte und abgebrochene Wohnungen nach Eigentumsart und statistischer Zone seit 2009


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

de:
Diese Daten umfassen die bewohnten Wohnungen, sowie die zugehörige Wohnungsfläche und Personenzahl nach Stadtquartier in der Stadt Zürich nach administrativer Einteilung. 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

quartier

display_name: quartier

sasa

display_name: sasa

wohnflache

display_name: wohnflache

wohnflaeche

display_name: wohnflaeche

wohnung

display_name: wohnung

wohnungsflache

display_name: wohnungsflache

wohnungsflaeche

display_name: wohnungsflaeche

construction

de: Bau- und Wohnungswesen

de: Wohndichte nach Eigentumsart in der Stadt Zürich nach Stadtquartieren seit 2008


de: fahrzeugtypen sachdaten verkehr mobilitaet echtzeit zeitreihe miv tabelle

de:
Dieses Dataset umfasst die Verkehrszahlen an der Stampfenbachstrasse **seit 2007 bis zur letzten aktuellen Stunde**, aufgeteilt in Jahresdateien. Die Messung findet mittels Radardetektoren statt. Es wird die Länge des vorbeifahrenden Fahrzeugs gemessen. Aufgrund der Länge wird das Fahrzeug einer von 3 Klassen (0-2.7m = 2R, 2.7-7m = PW, 7-25m = LKW) zugeteilt. Die Zählstelle befindet sich auf der Höhe der Berufsschule für Detailhandel Zürich direkt neben dem Parkhaus Unterstrasse.
Während den Bauarbeiten an der Stampfenbachstrasse in den Jahren 2018 und 2019 sind die Verkehrszahlen nicht erfasst worden.

echtzeit

display_name: echtzeit

fahrzeugtypen

display_name: fahrzeugtypen

miv

display_name: miv

mobilitaet

display_name: mobilitaet

sachdaten

display_name: sachdaten

verkehr

display_name: verkehr

health

fr: Santé

de: Gesundheit

en: Health

it: Sanità

territory

fr: Territoire et environnement

de: Raum und Umwelt

en: Territory and environment

it: Territorio e ambiente

de: Verkehrszähldaten an der Stampfenbachstrasse nach Fahrzeugtypen, seit 2007


de: alter migration zeitreihe zivilstand tabelle quartier sachdaten binnenmigration umzug geschlecht sasa

de: Anzahl Umzüge innerhalb der Stadt nach Stadtkreis und Stadtquartier nach Geschlecht, Altersgruppe, Zivilstand und Jahr, seit 1993.

alter

display_name: alter

binnenmigration

display_name: binnenmigration

geschlecht

display_name: geschlecht

migration

display_name: migration

tabelle

display_name: tabelle

umzug

display_name: umzug

zeitreihe

display_name: zeitreihe

zivilstand

display_name: zivilstand

population

de: Bevölkerung

de: Umzüge innerhalb der Stadt nach Stadtkreis, Stadtquartier, Geschlecht, Altersgruppe und Zivilstand, seit 1993


de: sachdaten kreis-wohnen bauwesen tabelle umbau zeitreihe stistische-zone bautatigkeit

de: Der Datensatz enthält den Wohnungssaldo durch Umbauten nach Jahr, Stadtkreis, Eigentumsart und Wohnungsgrösse seit 2015.

bautatigkeit

display_name: bautatigkeit

bauwesen

display_name: bauwesen

kreis-wohnen

display_name: kreis-wohnen

stistische-zone

display_name: stistische-zone

umbau

display_name: umbau

stadt-zurich

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: Wohnungssaldo durch Umbau seit 2015


de: sachdaten sasa quartier babies statistische-zone zeitreihe tabellen geburt

de: Anzahl Lebendgeborene (wirtschaftliche Bevölkerung) nach Geschlecht, Statistischem Stadtquartier, Statistischer Zone und Jahr, seit 1993.

babies

display_name: babies

geburt

display_name: geburt

quartier

display_name: quartier

sasa

display_name: sasa

statistische-zone

display_name: statistische-zone

tabellen

display_name: tabellen

de: Stadt Zürich

de: Geburten nach Geschlecht und Statistischer Zone, seit 1993


de: religion reformiert sasa sachdaten konfession katholisch zeitreihe tabelle

de:
Diese Daten beschreiben die ständige Wohnbevölkerung der Stadt Zürich und basieren auf der Volkszählung und der Strukturerhebung des Bundesamts für Statistik.

Bei der Volkszählung sind Personen aller Altersjahre enthalten, bei der Strukturerhebung bloss 15-Jährige und Ältere. Weitere Informationen finden Sie unter **Bemerkung**.

katholisch

display_name: katholisch

konfession

display_name: konfession

reformiert

display_name: reformiert

religion

display_name: religion

sachdaten

display_name: sachdaten

de: Bevölkerung nach Religion, seit 1850


sozialhilfequoten-der-stadt-zurich

title_for_slug: sozialhilfequoten-der-stadt-zurich

de: zeitreihe sozialhilfequote sozialhilfe durchschnittlich sachdaten kumulativ tabelle

de:
 Sozialhilfequote seit 2000.

Die Daten umfassen die durchschnittliche Anzahl Personen pro Monat, die durchschnittliche Sozialhilfequote sowie die kumulative Anzahl an Sozialhilfebeziehenden und kumulative Sozialhilfequote .

durchschnittlich

display_name: durchschnittlich

kumulativ

display_name: kumulativ

sozialhilfe

display_name: sozialhilfe

sozialhilfequote

display_name: sozialhilfequote

tabelle

display_name: tabelle

zeitreihe

display_name: zeitreihe

administration

fr: Administration

de: Verwaltung

en: Administration

it: Amministrazione

social-security

fr: Protection sociale

de: Soziale Sicherheit

en: Social security

it: Sicurezza sociale

name: Sozialstatistik / Evaluation, Soziale Dienste, Sozialdepartement

de: Sozialhilfequoten der Stadt Zürich


de: zeitreihe eingebuergerte tabelle zugezogene nichtwaehlende erstwaehlende nationalrat sachdaten wahlen

de: Anteil der Erstwählenden bei den Nationalrats- und Ständeratswahlen, die effektiv am Urnengang teilgenommen hatten im Vergleich zu allen, die theoretisch zum ersten Mal hätten wählen dürfen.

eingebuergerte

display_name: eingebuergerte

erstwaehlende

display_name: erstwaehlende

nationalrat

display_name: nationalrat

nichtwaehlende

display_name: nichtwaehlende

wahlen

display_name: wahlen

zugezogene

display_name: zugezogene

politics

fr: Politique

de: Politik

en: Politics

it: Politica

de: Beteiligung am Urnengang der Nationalrats- und Ständeratswahlen, nach erstmaliger Teilnahme, seit 2007


de: sachdaten zeitreihe bevszenarieninput sasa tabelle

de: Anzahl Geburten (Lebendgeborene) nach Stadtquartier, Alter der Mutter, Geschlecht des Kindes, Herkunft von Mutter und Kind, seit 1993.

bevszenarieninput

display_name: bevszenarieninput

sasa

display_name: sasa

population

de: Bevölkerung

stadt-zurich

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: Geburten nach Stadtquartier, Alter der Mutter, Geschlecht des Kindes, Herkunft von Mutter und Kind, seit 1993.


maintainer: Staatskanzlei Zug

fr: votation federal

de: abstimmung national

it: nazionale votazione

label: Description du format

label: Descripziun dal format

label: Descrizione del formato

label: Formatbeschreibung

identifier: csv

identifier: json

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

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

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

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

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

staatskanzlei-zug

de: Staatskanzlei Zug

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

political_level: canton

kanton-zug

capacity: public

value: ZG-Kt - Staatskanzlei - DCAT Harvester


maintainer: OGD-Koordinationsstelle Kanton Thurgau

de: bezirk beglaubigung notariat

de: json

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

license: CC BY 4.0

de: csv

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

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

beglaubigung

display_name: beglaubigung

bezirk

display_name: bezirk

notariat

display_name: notariat

kanton-thurgau

fr: Canton de Thurgovie

de: Kanton Thurgau

en: Canton of Thurgau

it: Cantone di Turgovia

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

value: TG-Kt DCAT Harvester


de: national abstimmung

it: votazione nazionale

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

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

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

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

politics

de: Politik


de: bevolkerungsbestand alter staatsangehorigkeit schutzsuchende

de: Schutzsuchende im Kanton Basel-Stadt nach Geschlecht, Altersklasse, Staatsangehörigkeit, Zuzugs- und Wegzugsmonat (json)

license: CC BY

de: Schutzsuchende im Kanton Basel-Stadt nach Geschlecht, Altersklasse, Staatsangehörigkeit, Zuzugs- und Wegzugsmonat (csv)

de: Dieser Datensatz zeigt die Schutzsuchenden im Kanton Basel-Stadt nach Geschlecht, Altersgruppe, Staatsangehörigkeit, Zuzugs- und Wegzugsmonat. Er wird monatlich aktualisiert.

alter

display_name: alter

bevolkerungsbestand

display_name: bevolkerungsbestand

schutzsuchende

display_name: schutzsuchende

staatsangehorigkeit

display_name: staatsangehorigkeit

population

de: Bevölkerung

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: Sektion energieeffizienter Verkehr

title_for_slug: Kennzahlen alternativ angetriebene Personenwagen

de: alternative-antriebe elektrische-fahrzeuge elektromobilitat ogd92-bfe co2 hybridfahrzeuge personenwagen

fr: Chiffres clés des voitures neuves à propulsion alternative

it: Cifre chiave nuove automobili con propulsione alternativa

label: Storymap

fr: Sur la base des données anonymisées des nouvelles immatriculations publiées par l'OFROU, l'Office fédéral de l'énergie évalue les principaux chiffres clés concernant les voitures de tourisme à propulsion alternative. Les véhicules à propulsion alternative sont ceux qui ne disposent pas exclusivement d'un moteur à combustion à essence ou diesel. Ce jeu de données contient non seulement des chiffres annuels agrégés, mais aussi des séries chronologiques mensuelles des parts de marché, des informations sur les différents cantons et des informations sur les modèles les plus populaires.

de: Auf Basis der vom ASTRA publizierten, anonymisierten Neuzulassungsdaten wertet das Bundesamt für Energie die wichtigsten Kennzahlen zu den alternativ angetriebenen Personenwagen aus. Als alternativ angetrieben gelten Fahrzeuge, die nicht ausschliesslich über einen Benzin- oder Diesel-Verbrennungsmotor verfügen werden. Dieser Datenbestand enthält neben aggregierten jährlichen Kennzahlen auch monatliche Zeitreihen der Marktanteile, Angaben zu den einzelnen Kantonen und Informationen zu den beliebtesten Modellen.

it: Sulla base dei dati anonimizzati sulle nuove immatricolazioni pubblicati dall'USTRA, l'Ufficio Federale dell'Energia valuta i dati più importanti sulle automobili da turismo a propulsione alternativa. Le automobili da turismo a propulsione alternativa sono quelle che non dispongono esclusivamente di un motore a combustione interna a benzina o diesel. Oltre alle cifre chiave annuali aggregate, questo set di dati contiene anche serie temporali mensili di quote di mercato, informazioni sui singoli cantoni e informazioni sui modelli più popolari.

alternative-antriebe

display_name: alternative-antriebe

elektrische-fahrzeuge

display_name: elektrische-fahrzeuge

elektromobilitat

display_name: elektromobilitat

hybridfahrzeuge

display_name: hybridfahrzeuge

personenwagen

display_name: personenwagen

energy

de: Energie

mobility

fr: Mobilité et transports

de: Mobilität und Verkehr

en: Mobility and Transport

it: Mobilità e trasporti

territory

de: Raum und Umwelt

bundesamt-fur-energie-bfe

fr: Office fédéral de l'énergie OFEN

de: Bundesamt für Energie BFE

en: Swiss Federal Office of Energy SFOE

it: Ufficio federale dell'energia UFE

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

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

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

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

political_level: confederation


maintainer: EnviDat Support

en: snow-density snow-water-equivalent snow-ice-temperature weisfluhjoch snow-stratigraphy

en: README

media_type: TXT

en: README file giving use metadata.

format: TXT

en: WFJ Snow Profiles 1999-2014

media_type: application/zip

en:
Biweekly manual snow profiles from Weissfluhjoch, Davos, Switzerland.
Version: 2015-09-14T16:25

format: ZIP

mimetype: application/zip

en: Dataset of manual bi-weekly snow profiles from Weissfluhjoch, Davos, Switzerland. Typical snow profile measurements and observations are included (temperature, density, grain size, grain type, hardness, wetness), following the guidelines of the The International Classification for Seasonal Snow on the Ground (ICSSG) [Fierz, C., Armstrong, R.L., Durand, Y., Etchevers, P., Greene, E., McClung, D.M., Nishimura, K., Satyawali, P.K. and Sokratov, S.A. 2009. The International Classification for Seasonal Snow on the Ground. IHP-VII Technical Documents in Hydrology N°83, IACS Contribution N°1, UNESCO-IHP, Paris].

snow-density

display_name: snow-density

snow-ice-temperature

display_name: snow-ice-temperature

snow-stratigraphy

display_name: snow-stratigraphy

snow-water-equivalent

display_name: snow-water-equivalent

weisfluhjoch

display_name: weisfluhjoch

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: Manual bi-weekly snow profiles from Weissfluhjoch, Davos, Switzerland


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

en: headers

media_type: ascii, tab separated, also as excel table

en: Description of headers for data_wohlgemuth_etal_Neobiota_2022

format: SERVICE

en: references

media_type: XLS

en: Bibliography of all references cited in data_wohlgemuth_etal_Neobiota_2022.

format: XLS

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


title_for_slug: Kennzahlen alternativ angetriebene Lieferwagen und leichte Sattelschlepper

de: alternative-antriebe elektromobilitat leichte-nutzfahrzeuge hybridfahrzeuge lieferwagen co2 ogd93-bfe elektrische-fahrzeuge

fr: Chiffres clés des véhicules utilitaires légers neufs à propulsion alternative

it: Cifre chiave per i nuovi autofurgoni e trattori a sella leggeri con propulsione alternativa

fr: Sur la base des données anonymisées des nouvelles immatriculations publiées par l'OFROU, l'Office fédéral de l'énergie évalue les principaux chiffres clés concernant les véhicules utilitaires légers (VUL) à propulsion alternative. Les véhicules utilitaires légers à propulsion alternative sont ceux qui ne disposent pas exclusivement d'un moteur à combustion à essence ou diesel. Ce jeu de données contient non seulement des chiffres annuels agrégés, mais aussi des séries chronologiques mensuelles des parts de marché, des informations sur les différents cantons et des informations sur les modèles les plus populaires.

de: Auf Basis der vom ASTRA publizierten, anonymisierten Neuzulassungsdaten wertet das Bundesamt für Energie die wichtigsten Kennzahlen zu den alternativ angetriebenen leichten Nutzfahrzeugen aus. Als alternativ angetrieben gelten Fahrzeuge, die nicht ausschliesslich über einen Benzin- oder Diesel-Verbrennungsmotor verfügen werden. Dieser Datenbestand enthält neben aggregierten jährlichen Kennzahlen auch monatliche Zeitreihen der Marktanteile, Angaben zu den einzelnen Kantonen und Informationen zu den beliebtesten Modellen.

it: Sulla base dei dati anonimizzati sulle nuove immatricolazioni pubblicati dall'USTRA, l'Ufficio Federale dell'Energia valuta i dati più importanti sugli autofurgoni e trattori a sella leggeri propulsione alternativa. Gli autofurgoni e trattori a sella leggeri a propulsione alternativa sono quelli che non dispongono esclusivamente di un motore a combustione interna a benzina o diesel. Oltre alle cifre chiave annuali aggregate, questo set di dati contiene anche serie temporali mensili di quote di mercato, informazioni sui singoli cantoni e informazioni sui modelli più popolari.

leichte-nutzfahrzeuge

display_name: leichte-nutzfahrzeuge

lieferwagen

display_name: lieferwagen

energy

fr: Energie

en: Energy

it: Energia

mobility

en: Mobility and Transport

territory

fr: Territoire et environnement

en: Territory and environment

it: Territorio e ambiente

bundesamt-fur-energie-bfe

en: Swiss Federal Office of Energy SFOE

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


en:
This dataset contains the statistics on the number of avalanche fatalities per **calendar year** in Switzerland. The data collection commences with the beginning of the year 1937. After the completion of a hydrological year, which is the standard way avalanche fatalities are summarized in Switzerland and ends on the 30th of September, the new data is appended to the existing dataset.
If you require annual statistics per hydrological year, please download the data from here: [https://www.envidat.ch/dataset/avalanche-fatalities-switzerland-1936]

The following information is contained (by column and column title):
 - year
 - number of fatalities in the backcountry (=tour)
 - number of fatalities in terrain close to ski areas (=offpiste, away from open and secured ski runs)
 - number of fatalities on transportation corridors including ski runs, roads, railway lines (=transportation.corridors)
 - number of fatalities in or around buildings or in settlements (= buildings)
 - sum (of all four categories)

The definitions for these four categories, as described in the guidelines to the avalanche accident database are:

tour:
activities include back-country ski, snowboard or snow-shoe touring

offpiste:
access from ski area, generally from the top of a skilift with short hiking distances

transportation.corridors (Techel et al., 2016):
people travelling or recreating on open or temporarily closed transportation corridors (e.g. a road user or a skier on a ski run) and people working on open or closed transportation corridors (e.g. maintenance crews on roads, professional rescue teams)

buildings (Techel et al., 2016):
people inside or just outside buildings, and workers on high alpine building sites

avalanche-accident-statistics

display_name: avalanche-accident-statistics

avalanche-fatalities

display_name: avalanche-fatalities

fatalities-in-or-around-buildings

display_name: fatalities-in-or-around-buildings

fatalities-in-settlements

display_name: fatalities-in-settlements

fatalities-in-the-backcountry

display_name: fatalities-in-the-backcountry

fatalities-on-transportation-corridors

display_name: fatalities-on-transportation-corridors

education

en: Education and science

en: Number of avalanche fatalities per calendar year in Switzerland since 1937


maintainer: Marcia Phillips

en: permos borehole permafrost ritigraben meteo-station

en: DATA ACCESS

media_type: SMET

en: Meterological station at the [Ritigraben permafrost borehole](http://www.envidat.ch/dataset/rit1) (RIT_0102) in canton Valais, Switzerland. The station is located at 2690 m asl on a flat site.

borehole

display_name: borehole

meteo-station

display_name: meteo-station

permafrost

display_name: permafrost

permos

display_name: permos

ritigraben

display_name: ritigraben

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: RIT2: Meteorological station at Ritigraben borehole site


en: avalanche danger-level avalanche-danger avalanche-forecasting snow snow-instability

en: Read-me file

media_type: PDF

en: This read-me file contains the descriptions of the variables.

format: PDF

en: Field observations of snow instabilities

en:
This data set includes 589 snow profile observations including a rutschblock test, observations of signs of instability and an assessment of the local avalanche danger level, mainly recorded in the region of Davos (eastern Swiss Alps) during the winter seasons 2001-2002 to 2018-2019.

These data were analyzed and results published by Schweizer et al. (2021). They characterized the avalanche danger levels based on signs of instability (whumpfs, shooting cracks, recent avalanches), snow stability class and new snow height.

The data are provided in a csv file (589 records); the variables are described in the corresponding read-me file.

These data are the basis of the following publication: Schweizer, J., Mitterer, C., Reuter, B., and Techel, F.: Avalanche danger level characteristics from field observations of snow instability, Cryosphere, 15, in review, 2021.

 Acknowlegements
Many of the data were recorded by SLF observers and staff members, among those Roland Meister, Stephan Harvey, Lukas Dürr, Marcia Phillips, Christine Pielmeier and Thomas Stucki. Their contribution is gratefully acknowledged.

avalanche

display_name: avalanche

avalanche-danger

display_name: avalanche-danger

avalanche-forecasting

display_name: avalanche-forecasting

danger-level

display_name: danger-level

snow

display_name: snow

snow-instability

display_name: snow-instability


disdrometer-data-gotschnagrat

title_for_slug: disdrometer-data-gotschnagrat

en: hydrometeors disdrometer raclets precipitation visibility

en: Disdrometer Data Gotschnagrat

en: The zip folder contains one netCDF file per day for Gotschnagrat from February 11 to March 27 2019 with a temporal resolution of 30 seconds (time in UTC). The naming convention for the files is Gotschna_YYYYMMDD.nc and the files include the following: characteristics of hydrometeors (e.g. diameter, fall velocity, amount per diameter class,...), precipitation rate, radar reflectivity, visibility range, weather codes and instrument performance.

en: A laser optical disdrometer (Parsivel² , OTT Hydromet) was deployed at Gotschnagrat (LON: 9.849, LAT: 46.859) to measure hydrometeors by extinction when passing a laser beam. The instrument can classify eight different kinds of precipitation, including rain, hail, snow, drizzle, and hybrid forms. The dataset contains information on precipitation amount and type for the period of February 11 to March 27 2019 at Gotschnagrat.

disdrometer

display_name: disdrometer

hydrometeors

display_name: hydrometeors

precipitation

display_name: precipitation

raclets

display_name: raclets

visibility

display_name: visibility


en: buffer geospatial roads gis jupyter density

en: Road Density Calculation (Python Notebook) online

media_type: url

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

en: Plots

en: Random plot locations

media_type: ipynb

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

buffer

display_name: buffer

density

display_name: density

geospatial

display_name: geospatial

gis

display_name: gis

jupyter

display_name: jupyter

roads

display_name: roads

education

en: Education and science

en: Dataset for OGRS 2018 publication


en: alptal first-order-catchment meteorological-data runoff snow subalpine

en: Daily meteorological and snow data (1968-2019) Alptal

media_type: XLSX

en:
Air temperature, dew point temperature, relative humidity, wind speed, precipitation and global radiation have been measured (since 1981) on a meadow (Erlenhöhe) in the Erlenbach catchment. It is located at 1'220 m a.s.l. with an exposure towards west. In order to assess the spatial variability of precipiation, two additional rain gauges have been running in the Vogelbach and Lümpenenbach catchment, respectively.
For the period before 1981, meteorological variables have been extrapolated from the nearby MeteoSwiss station Einsiedeln (ca. 15 km north) to the WSL station Erlenhöhe using a linear correction factor for air temperature, wind speed and precipitation.
Snow depth has been recorded automatically since 2003.

en: Manual snow measurements Alptal (1968-2020)

en:
Snow depth, snow density and snow water equivalent have been measured since winter 1968/69 along more than 15 transects distributed across the Alptal valley representing different altitudes, aspects and land use (closed forest and open meadows). Length of the snow courses: 20 to 30 m. The measurement interval has been weekly to monthly.
More details about the locations and methods can be found in Stähli, M.; Gustafsson, D., (2006). Long-term investigations of the snow cover in a subalpine semi-forested catchment. Hydrological Processes, 20, 411-428. doi: 10.1002/hyp.6058.

en: Daily runoff data from three steep torrents in the Alptal (1968-2019)

en: Runoff, water temperature and electrical conductivity have been measured since 1968 at the outlet of three torrential catchments (with an area of approximately 1 km2 each) located in the Alptal valley: Erlenbach, Lümpenenbach and Vogelbach. This data set provides daily mean values; data at 10-min resolution can be provided on request for the period 1984-2020 (contact: alptal@wsl.ch).

en:
This data set includes 52 years of hydrometeorological measurements from small (first-order) catchments in the pre-alpine valley Alptal. Here we provide daily mean values; values in sub-daily resolution can be provided on demand.
Runoff has been measured at the outlet of three small (first-order) catchments of approximately 1 km2 area: Erlenbach (two independent runoff measurements), Vogelbach and Lümpenenbach. The catchments are similar with regard to geology (Flysch) and soil conditions (clay soils), but differ in forest coverage (20 to 60%). A detailed description of the catchments can be found at https://www.wsl.ch/alptal .
Runoff in these small catchments is typically very dynamic and can temporally carry large amounts of sediment and large wood. Thus, the accuracy of the measurements at very large flow is limited.
Meteorological variables have been measured on a meadow (Erlenhöhe) located in the Erlenbach catchment at 1220 m a.s.l. using a standard meteorological station (incl. ventilated air temperature and heated rain gauges). In addition, precipitation has also been recorded at two other locations (in the Vogelbach and Lümpenenbach catchments).
Snow measurements have been conducted weekly to monthly since 1968 at more than 15 locations (30-m transects) representing different altitudes, aspects and land uses (meadow, forest). In addition, snow depth has been recorded continuously since 2003 at Erlenhöhe, and for this location we also include a simulation of snow depth and SWE (using the numerical model COUP) that assimilates the manual weekly snow-course measurements. Details on these snow measurements can be found in Stähli, M. and Gustafsson, D. 2006. Hydrol. Proc., 20, 411-428. doi: 10.1002/hyp.6058.

Further information on the methods and sensors can be found at https://www.wsl.ch/alptal .

A first version of this data set (for the period 1968-2017) was uploaded in June 2018 at the occasion of the 50-year anniversary. This original data set was updated in February 2021 (with data from 2018 and 2019), and this data set was used for a longterm trend analysis, submitted for publication in a special issue of Hydrological Processes.

alptal

display_name: alptal

first-order-catchment

display_name: first-order-catchment

meteorological-data

display_name: meteorological-data

runoff

display_name: runoff

subalpine

display_name: subalpine

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: Longterm hydrological observatory Alptal (central Switzerland)


en: bioenergy switzerland review biogas manure

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

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

bioenergy

display_name: bioenergy

biogas

display_name: biogas

manure

display_name: manure

review

display_name: review

switzerland

display_name: switzerland


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

en: Data Access

media_type: geotiff

format: GeoTIFF

en: CHELSA Technical Documentation

media_type: application/pdf

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

mimetype: application/pdf

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

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

air-temperature

display_name: air-temperature

century

display_name: century

climate

display_name: climate

climate-layers

display_name: climate-layers

free-climate-data

display_name: free-climate-data

maximum-temperature

display_name: maximum-temperature

minimum-temperature

display_name: minimum-temperature

precipitation

display_name: precipitation

timeseries

display_name: timeseries

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


vegetation-height-model-nfi

maintainer: Christian Ginzler

title_for_slug: vegetation-height-model-nfi

en: point-cloud photogrammety vegetation-height-model 3d forest

en: 2012 Vegetation Height Model NFI

en:
Data 'Vegetation Height Model NFI 2012' available on request (christian.ginzler@wsl.ch).

A national vegetation height model was calculated for Switzerland using digital aerial images. We used the stereo aerial images acquired by the Federal Office of Topography swisstopo using the ADS80 sensor to first calculate a digital surface model (DSM) with a very high spatial resolution (1 × 1 m). The DSM was then normalized to obtain the actual vegetation heights using the digital terrain model (DTM) SwissAlti3D based on airborne laser data. Buildings are masked out using the NDVI information of the aerial images to produce a vegetation height model, and to produce a vegetation height model (VHM). Such a model will be calculated in the framework of the Swiss National Forest Inventory (NFI) with consistent methods and a very high level of detail. For covering the whole of Switzerland, we used summer aerial images from 2007 to 2012.

en: 2015 Vegetation Height Model NFI

en:
Data 'Vegetation Height Model NFI 2015' available on request (christian.ginzler@wsl.ch).

A national vegetation height model was calculated for Switzerland using digital aerial images. We used the stereo aerial images acquired by the Federal Office of Topography swisstopo using the ADS80 sensor to first calculate a digital surface model (DSM) with a very high spatial resolution (1 × 1 m). The DSM was then normalized to obtain the actual vegetation heights using the digital terrain model (DTM) SwissAlti3D based on airborne laser data. Buildings are masked out using the NDVI information of the aerial images to produce a vegetation height model, and to produce a vegetation height model (VHM). Such a model will be calculated in the framework of the Swiss National Forest Inventory (NFI) with consistent methods and a very high level of detail. For covering the whole of Switzerland, we used summer aerial images from 2010 to 2015.

en: 2016 Vegetation Height Model NFI

en:
Data 'Vegetation Height Model NFI 2016' available on request (christian.ginzler@wsl.ch).

A national vegetation height model was calculated for Switzerland using digital aerial images. We used the stereo aerial images acquired by the Federal Office of Topography swisstopo using the ADS80 sensor to first calculate a digital surface model (DSM) with a very high spatial resolution (1 × 1 m). The DSM was then normalized to obtain the actual vegetation heights using the digital terrain model (DTM) SwissAlti3D based on airborne laser data. Buildings are masked out using the NDVI information of the aerial images to produce a vegetation height model, and to produce a vegetation height model (VHM). Such a model will be calculated in the framework of the Swiss National Forest Inventory (NFI) with consistent methods and a very high level of detail. For covering the whole of Switzerland, we used summer aerial images from 2011 to 2016.

en: Countrywide Stereo-Image Matching for Updating Digital Surface Models in the Framework of the Swiss National Forest Inventory

en: Thumbnail

media_type: image/jpeg

mimetype: image/jpeg

en: 2019 Vegetation Height Model NFI (current)

en:
Data 'Vegetation Height Model NFI 2019' available on request (christian.ginzler@wsl.ch).

A national vegetation height model was calculated for Switzerland using digital aerial images. We used the stereo aerial images acquired by the Federal Office of Topography swisstopo using the ADS80 sensor to first calculate a digital surface model (DSM) with a very high spatial resolution (1 × 1 m). The DSM was then normalized to obtain the actual vegetation heights using the digital terrain model (DTM) SwissAlti3D based on airborne laser data. Buildings are masked out using the NDVI information of the aerial images to produce a vegetation height model, and to produce a vegetation height model (VHM). Such a model will be calculated in the framework of the Swiss National Forest Inventory (NFI) with consistent methods and a very high level of detail. For covering the whole of Switzerland, we used summer aerial images from 2013 to 2019.

en:
A national vegetation height model was calculated for Switzerland using digital aerial images.
We used the stereo aerial images acquired by the Federal Office of Topography swisstopo using the ADS80 sensor to first calculate a digital surface model (DSM) with a very high spatial resolution
(1 × 1 m and 0.5 x 0.5 m). The DSM was then normalized to obtain the actual
vegetation heights using a digital terrain model (DTM)
based on laser data with the buildings masked out, and to
produce a vegetation height model (VHM). Such a model
will be calculated in the framework of the Swiss National Forest Inventory (NFI) with consistent methods and a very
high level of detail. For covering the whole of Switzerland,
we use summer aerial images from six years.

Latest version is from 2019.

forest

display_name: forest

photogrammety

display_name: photogrammety

point-cloud

display_name: point-cloud

vegetation-height-model

display_name: vegetation-height-model

education

en: Education and science

en: Vegetation Height Model NFI


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

en: Data access

media_type: .zip

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

climate-change-impact

display_name: climate-change-impact

discharge

display_name: discharge

hydrology

display_name: hydrology

model

display_name: model

water-temperature

display_name: water-temperature

envidat

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


en: snow-temperature ice-layers water-front weissfluhjoch snowmicropen snow-stratigraphy

en: README

media_type: text/plain

mimetype: text/plain

en: WFJ_ICE_LAYERS dataset

en: The WFJ_ICE_LAYERS dataset contains multi-instrument snowpack measurements at high temporal resolution, which enable to monitor the formation of deep ice layers due to preferential water flow, at the Weissfluhjoch research site, Davos, Switzerland. It covers the winter 2016/2017, with a focus on the early melting season. This dataset includes traditional snowpack profiles (weekly resolution, 15/11/2016-29/05/2017), SnowMicroPen penetration resistance profiles (daily resolution, 01/02/2017-19/04/2017), snow temperatures measured at different heights in the snowpack (half-hourly resolution, 01/03/2017-15/04/2017) and the water front height derived from an upward-looking ground penetrating radar (3-hour resolution, 04/03/2017-08/04/2017). The measurements are complemented by initialization files for SNOWPACK model simulations with the ice reservoir parameterization at Weissfluhjoch for the winter 2016/2017.

ice-layers

display_name: ice-layers

snow-stratigraphy

display_name: snow-stratigraphy

snow-temperature

display_name: snow-temperature

snowmicropen

display_name: snowmicropen

water-front

display_name: water-front

weissfluhjoch

display_name: weissfluhjoch

en: WFJ_ICE_LAYERS: Multi-instrument data for monitoring deep ice layer formation in an alpine snowpack


ceilometer-klosters

title_for_slug: ceilometer-klosters

en: cloud-base-height klosters raclets ceilometer vertical-visibility

en: Ceilometer data Klosters

media_type: mat

en: Ceilometer installed at Klosters measuring cloud base height, cloud cover and backscatter profile. The time resolution is 30 seconds, with time given in number of days from January 0, 0000, UTC. More information on the variables in the manufacturer manual.

en: Cloud base height (m) and vertical visibility (m) were measured with the VAISALA Ceilometer CL31 in Klosters (LON: 9.880413, LAT: 46.869019). The CL31 is an instrument with constant reliability for all weather conditions and simultaneous detection of three cloud layers in heights up to 7.6 km.

ceilometer

display_name: ceilometer

cloud-base-height

display_name: cloud-base-height

klosters

display_name: klosters

raclets

display_name: raclets

vertical-visibility

display_name: vertical-visibility

en: Ceilometer Klosters


en: reservoirs water-supply water-demand climate-change water-scarcity

en: Water demand (deprecated)

en:
Warning: please use the corrected version 2, since this file contains errors for certain categories such as Livestock, Industry or Houshold.

Water demand estimates for the 307 medium-sized catchments for different categories for current and future conditions. One text file is provided per demand category. One column corresponds to one catchment (IDs compare to shapefile), The data are provided at monthly resolution in mm/d and can be converted to volumes by using the catchment area. E.g.
Q[mm/d] * catchment area [m²] /1000 = Q[m³/d]
or to obtain discharge in m³/s
Q[mm/d] * catchment area [m²]/1000/24/3600 = Q [m³/s].
Future irrigation and hydropower water demand are provided per climate model chain.

en: Shapefile of 307 catchments in Switzerland

en: Shapefile of 307 catchments for which estimates of water supply, demand, and reservoir volumes are provided. The OBJECTID entry corresponds to the catchment ID which is used as a reference in the other datasets provided.

en: Reservoir volumes

en: Reservoir volume for the 307 medium-sized catchments for different storage categories: natural lakes, artificial reservoirs, reservoirs for artificial snow production, drinking water reservoirs, and usable volumes of natural lakes. Unit: Mio m³. One column per catchment (see shapefile).

en: Water supply

en: Simulated discharge series for a reference period 1981-2010 and till the end of the century. Data are provided for 39 climate model chains and a control run based on the observed meteorology. Data are provided at daily resolution (mm/d).

en: Water demand version 2 (corrected version)

en:
The dataset Hydro-CH2018 reservoirs provides estimates of current and future water supply, water demand, and storage volumes for 307 medium-sized catchments in Switzerland.
Water supply for current (1981-2010) and future (2070-2099) climate conditions was simulated using the hydrological model PREVAH. For modeling current water supply, observed meteorological time series were used as input, while simulated meteorological time series derived from 39 model chains of the CH2018 initiative were used as an input for simulating future climate conditions.

Water demand was estimated for six categories:

- 1) Drinking water (households and tourism),
- 2) industry (second and third sector),
- 3) artificial snow production,
- 4) agriculture (irrigation and livestock feeding),
- 5) ecology (residual flows), and
- 6) hydropower.

Future estimates consider changes in demand related to population growth and changes in the hydrological conditions.
Storage volumes are provided for natural lakes (storage capacities and usable volumes), artificial reservoirs, reservoirs for artificial snow production, and drinking reservoirs.

A detailed description of the simulation and estimation procedures can be found in

*  Brunner, M.I., Björnsen Gurung, A., Zappa, M., Zekollari, H., Farinotti, D., Stähli, M., 2019. Present and future water scarcity in Switzerland: Potential for alleviation through reservoirs and lakes. Sci. Total Environ. 666, 1033–1047. https://doi.org/10.1016/j.scitotenv.2019.02.169.

This dataset contains the following information:

1.	Shapefile with the 307 medium-sized Swiss catchments.
2.   Textfiles with the water supply simulations for the control run and the 39 climate model chains (one file per chain) at daily resolution for the 307 catchments.
3.	Textfiles with the current and future demand estimates per category at monthly resolution for the 307 catchments.
4.	Textfiles with the storage volumes per category and catchment.

climate-change

display_name: climate-change

reservoirs

display_name: reservoirs

water-demand

display_name: water-demand

water-scarcity

display_name: water-scarcity

water-supply

display_name: water-supply

education

en: Education and science

en: Hydro-CH2018 reservoirs


aerosol-data-weissfluhjoch

title_for_slug: aerosol-data-weissfluhjoch

en: inp aerosol linda ice-nucleation raclets particles

en: SMPS Dataset Weissfluhjoch

media_type: application/x-netcdf

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 Weissfluhjoch.

mimetype: application/x-netcdf

en: OPC-GT526S Dataset Weissfluhjoch

media_type: text/csv

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: LINDA Dataset Weissfluhjoch

en: The LINDA 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-N3 Dataset Weissfluhjoch

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: APS Dataset Weissfluhjoch

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 Weissfluhjoch.

en:
Aerosol properties were measured between February 8 and March 31 2019 at the measurement site Weissfluhjoch (LON: 9.806475, LAT: 46.832964). 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 (SMPS 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 (3787 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 LINDA: 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 min‾¹ into the cone and centrifuged into the wall of the cone due to the forming vortex. The liquid sample was transferred into the LED based Ice Nucleation Detection Apparatus (LINDA, University of Basel) to study heterogeneous ice formation (immersion freezing mode) of ambient airborne particles.

aerosol

display_name: aerosol

ice-nucleation

display_name: ice-nucleation

inp

display_name: inp

linda

display_name: linda

particles

display_name: particles

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 Weissfluhjoch


de: windgeschwindigkeit luftdruck echtzeit regen hitze hr niederschlag umweltdaten temperatur lufttemperatur tabelle feuchte sachdaten t_ luft kalte meteo wd regendauer zeitreihe wind wetter p_ global-strahlung luftfeuchte windrichtung messwerte wv

media_type: application/json

de:
Der Datensatz umfasst **Stundenwerte ab 1992 bis zur letzten aktuellen Stunde** aufgeteilt in Jahresdateien. Darin enthalten sind die Stationen Stampfenbachstrasse, Schimmelstrasse und Rosengartenstrasse. Gemessen wird der Luftdruck (p), die Niederschlagsdauer (RainDur), die Globalstrahlung (StrGlo), die Temperatur (T), die relative Luftfeuchtigkeit (Hr), die Windrichtung, die Vektor und Skalar Windgeschwindigkeit. Vor 2018 sind die Skalar Windgeschwindigkeiten aus den 30 Minuten Vektor Daten gerechnet worden.

Die Stundenwerte des laufenden Jahres werden jeweils 30 Minuten nach der vollen Stunde aktualisiert.

stadt-zurich

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».

de: Stündlich aktualisierte Meteodaten, seit 1992


maintainer: Sebastian Schlögl

en: snow stable-boundary-layer atmosphere atmospheric-turbulence turbulent-sensible-heat-fluxes

en: Turbulence data WFJ07

media_type: application/zip

en: lower sensor

en: Turbulence data PM07

en: NWW

en: Turbulence data GR00

en: sensor in 2 m height

en: Turbulence data AA00

en: sensor in 25 m height

en: sensor in 0.2 m height

en: Turbulence data WFJ11

en: SEE

en: sensor in 1 m height

en: upper sensor

en:
We used five different atmospheric turbulence datasets from four test sites, with these sites showing differences in their topographical characteristics. We chose one typical alpine test site with high topographical complexity (Weissfluhjoch, Davos, Switzerland) and three test sites consisting of one glacier site (Plaine Morte, Crans-Montana, Switzerland) and two polar sites (Greenland and Antarctica) representing a quasi-ideal site with homogeneous surface and quasi infinite fetch in all directions.
The turbulent sensible heat flux was calculated using the eddy-covariance method. Note that the sonic temperature fluctuations have been converted into virtual temperature fluctuations.
Three-dimensional wind velocity and air temperature were processed using a linear detrending (Rannik and Vesala, 1999) and a planar fit approach (Massmann and Lee, 2002) to rotate the coordinate system. Air temperature, relative humidity and air pressure from weather stations were used to calculate air properties, which are required for the data processing. The weather stations are located in the immediate vicinity of the turbulence tower and are affected by the same air masses. Turbulence data were averaged to 30-min intervals, whilst changing to a 15-min time interval marginally affects the heat fluxes at the Weissfluhjoch test site (Mott et al., 2011). Note that we define a negative sensible heat flux as being directed towards the snow surface and a positive sensible heat flux as being directed upwards.
The selected datasets and corresponding test sites are briefly introduced below:

Weissfluhjoch 2007 (WFJ07): A vertical set-up of two three-dimensional ultrasonic anemometers (CSAT3, Campbell Scientific, Inc.) was used at the traditional field site Weissfluhjoch (2540 m asl.) to measure three-dimensional wind velocity and air temperature at a frequency of 20 Hz. The sensors were mounted 3 m and 5 m above the ground and provided reliable data for 50 days between 11 February 2007 and 24 April 2007. Further information on the field campaign can be found in Stössel et al. (2010) and Mott et al. (2011).

Weissfluhjoch 2011-13 (WFJ11): Three-dimensional wind velocity and air temperature were recorded at 5 m above the ground at a frequency of 10 Hz with a three-dimensional ultrasonic anemometer (CSAT3). The analysis was conducted for data obtained between February and March in the years 2011-13.

Plaine Morte 2007 (PM07): Two three-dimensional ultrasonic anemometers (CSAT3) were installed on a horizontal boom facing opposite directions (west-north-west vs. east-south-east) at 3.75 m above the ground to measure air temperature and three-dimensional wind velocity at 20 Hz. The data were collected at the almost flat field site on the Plaine Morte glacier (2750 m asl.) near Crans-Montana, Switzerland from February to April 2007. High quality meteorological data were additionally recorded and used to force the model. A detailed description about the set-up at the Plaine Morte glacier can be found in Huwald et al. (2009) and Bou-Zeid et al. (2010).

Greenland 2000 (GR00): High-frequency three-dimensional ultrasonic anemometer measurements (CSAT3) were recorded at 50 Hz at the Summit Camp (72.3 °N, 38.8 °W, 3208 m asl.) located on the northern dome of the Greenland ice sheet. Data were collected at 1 m and 2 m above the snow surface during summer in 2000 and 2001. Additionally, meteorological measurements were obtained for the post processing and used to force the model. More information about the field campaign can be found in Cullen et al. (2007, 2014).

Antarctica 2000 (AA00): A set-up of three vertical three-dimensional ultrasonic anemometers (DA-600, Kaijo Denki) were installed at Mizuho Station (70°42' S, 44°20' E, 2230 m asl.) in Eastern Antarctica at 0.2, 1 and 25 m and recorded turbulence data at a frequency of 100 Hz from October to November 2000. Longwave and shortwave radiation, relative humidity, air and snow surface temperature were additionally measured and used to force the model. More information about the field campaign can be found in Nishimura and Nemoto (2005).

atmosphere

display_name: atmosphere

atmospheric-turbulence

display_name: atmospheric-turbulence

snow

display_name: snow

stable-boundary-layer

display_name: stable-boundary-layer

turbulent-sensible-heat-fluxes

display_name: turbulent-sensible-heat-fluxes

education

en: Education and science

en: How do stability corrections perform in the stable boundary layer over snow?


en: stillberg davos treeline-ecosystems mountain-forest afforestation foresty

en: Documentation

media_type: application/msword

mimetype: application/msword

en: Site photo

media_type: JPEG

en: Dataset V1

media_type: GDB

en: This dataset has been depricated in favour of an updated version.

format: GDB

en:
#Background Information

A history of many centuries of seasonal livestock grazing of alpine pastures has significantly depressed the treeline in many European mountain ranges. Therefore, observations of treeline patterns are more likely to be obscured by historical land use than in regions with less human influence and might not provide relevant information about environmental factors that influence mortality and growth patterns at the natural high-elevation limit of tree existence. To overcome this, we used a large afforestation experiment in the Swiss Alps, "Stillberg", to address the following questions:

Can trees survive above the current treeline in the European Alps? Are environmental factors that influence spatial patterns of mortality the same as those that influence height growth? Does the relative importance of these environmental variables change over the first 40 years after planting as seedlings?

#Dataset
The 5 ha Stillberg long-term afforestation research area is located near Davos (Central Alps, Switzerland). The bottom of the afforestation is approximately at the current treeline and it covers an altitudinal gradient of more than 150 m (2075 to 2230 m a.s.l.; see picture above). Approximately 92'000 seedlings of three treeline species (Larix decidua, Pinus mugo ssp. uncinata and Pinus cembra) were systematically planted in 1975, and mortality and height growth were closely monitored during the following 40 years.

Publications
Barbeito, I., Dawes, M. A., Rixen, C., Senn, J. and Bebi, P. (2012), Factors driving mortality and growth at treeline: a 30-year experiment of 92 000 conifers. Ecology, 93: 389–401. http://dx.doi.org/10.1890/11-0384.1

afforestation

display_name: afforestation

davos

display_name: davos

foresty

display_name: foresty

mountain-forest

display_name: mountain-forest

stillberg

display_name: stillberg

treeline-ecosystems

display_name: treeline-ecosystems

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: Long-term treeline research dataset at Stillberg, Davos


de:
Dieses Dataset umfasst **Stundenmesswerte seit 1983 bis zur letzten aktuellen Stunde**, aufgeteilt in Jahresdateien. Darin enthalten sind die **Stundenmittelwerte** des entsprechenden Jahres für die Stationen Stampfenbachstrasse, Schimmelstrasse, Rosengartenstrasse und Heubeeribüel. Gemessen wird Ozon (O3), Stickoxide (NOx), Stickstoffmonoxid (NO), Stickstoffdioxid (NO2), Feinstaub (PM10 und PM2.5), Kohlenmonoxid (CO) und Schwefeldioxid (SO2) wo jeweils in genügender Qualität vorhanden.

Die Stundenmittelwerte des laufenden Jahres werden jeweils 30 Minuten nach der vollen Stunde aktualisiert.

stadt-zurich

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».

de: Stündlich aktualisierte Luftqualitätsmessungen, seit 1983


maintainer: Matthias Haeni

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

en: Site photo of the forest station (VSB)

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

en: Site aerial photo (Visp)

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

en: Data plot of the field station (VSF)

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

en: Forest station data (VSB)

en: Data file.

en: Field station data (VSF)

en: Site photo of the field station (VSF)

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

en: Data plot of the forest station (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

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


en: incoming davos shortwave-radiation longwave-radiation outgoing

en: Parameter file

en: Metadata

en: DATA ACCESS

media_type: SMET

en: Processing doc

en:
Incoming and outgoing shortwave and longwave 2 min radiation measurements in Davos Dorf, CH.

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

incoming

display_name: incoming

longwave-radiation

display_name: longwave-radiation

outgoing

display_name: outgoing

shortwave-radiation

display_name: shortwave-radiation

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: ASRB_DAV: Shortwave and longwave radiation measurements (2 min) in Davos Dorf


root-traits

maintainer: Ivano Brunner

title_for_slug: root-traits

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

en: Root-traits

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


en: co2 soil picea-abies forest face nitrogen

en: Gross N mineralisation and nitrification

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

en: Collection of soil solution

en: Soil solution collected by suction cups

en: Collection points

en: Collection points under the trees

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: Resin bags

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

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

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

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


de: stickoxide pn stickstoffdioxid zeitreihe partikelanzahl luft sachdaten tabelle echtzeit pm10 ozon schadstoffe co nox o3 stickstoffmonoxid feinstaub schwefeldioxid so2 pm25 luftschadstoffe messwerte luftqualitat no2 no kohlenmonoxid

de:
Dieses Dataset umfasst **Tageswerte** **seit 1983 bis zum aktuellen Vortag**, aufgeteilt in Jahresdateien. Darin enthalten sind das maximale Stundenmittel und die Anzahl Überschreitungen des Stundenmittelgrenzwertes für Ozon und die Tagesmittel für Schwefeldioxid (SO2), Kohlenmonoxid (CO), Stickoxid (NOx), Stickstoffmonoxid (NO), Stickstoffdioxid (NO2), Feinstaub (PM10 und PM2.5) und Partikelanzahl (PN), sofern jeweils in genügender Qualität vorhanden.

Die Werte des vollendeten Tages für das laufende Jahr werden jeweils 30 Minuten nach Mitternacht (UTC+1) aktualisiert.

stadt-zurich

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».

de: Täglich aktualisierte Luftqualitätsmessungen, seit 1983