de: Datenstruktur auf Deutsch

de: Betriebe mit Nutztieren und Nutztierbestand bei Jahr, Kennzahl, Tierkategorie und Grössenklasse | Zone | Region

en: Holdings with livestock and livestock by Year, Key figure, Animal category and Size class | zone | region

agriculture

display_name: agriculture

landwirtschaft

display_name: landwirtschaft

agri

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

en: Agriculture, fisheries, forestry and food

econ

de: Wirtschaft und Finanzen

en: Economy and finance

de: Betriebe mit Nutztieren und Nutztierbestand nach Tierkategorie, Grössenklasse, Zone und Region seit 2005

en: Holdings with livestock and livestock by animal category, size class, zone and region since 2005


state: active

type: dataset

de: Datenwürfel auf Englisch

en: Data cube in English

media_type: text/html

format: HTML

en: Data structure in German

media_type: application/json

format: JSON

de: Datenwürfel auf Deutsch

en: Data cube in German

de: Datenstruktur auf Englisch

en: Data structure in English

de: Gesundheitsausgaben in Tausend CHF bei Jahr, Funktion der Gesundheitsversorgung, Ort der Leistung und Finanzierungssystem

en: Health accounts in thousand CHF by Year, Function, Place of activity and Financing scheme

gesundheitsausgaben

display_name: gesundheitsausgaben

health-accounts

display_name: health-accounts

heal

fr: Santé

de: Gesundheit

en: Health

it: Salute

fr: Économie et finances

it: Economia e finanze

amt-fuer-statistik-fl

de: Amt für Statistik

en: Office of Statistics

en: The Office of Statistics is Liechtenstein's statistical information center. It provides the national and municipal authorities as well as the public with relevant, reliable and coherent statistical information on society, economy and environment in Liechtenstein.

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

political_level: other

liechtenstein

capacity: public

type: organization

approval_status: approved

key: guid

key: uri

value: DCAT Harvester Amt für Statistik FL

de: Gesundheitsausgaben in Tausend CHF nach Funktion der Gesundheitsversorgung, Ort der Leistung und Finanzierungssystem seit 2013

en: Health accounts in thousand CHF by function, place of activity and financing schemes since 2013


de: Verlust des Landesbürgerrechts durch ausdrücklichen Verzicht bei Jahr, Wohnsitz und Altersklasse

en: Loss of national citizenship through explicit renunciation by Year, Residence and Age group

einburgerungen

display_name: einburgerungen

naturalisations

display_name: naturalisations

soci

fr: Population et société

de: Bevölkerung und Gesellschaft

en: Population and society

it: Popolazione e società

intr

fr: Questions internationales

de: Internationale Themen

en: International issues

it: Tematiche internazionali

de: Verlust des Landesbürgerrechts durch ausdrücklichen Verzicht nach Wohnsitz und Altersklassen seit 2008

en: Loss of national citizenship through explicit renunciation by residence and age group since 2008


de: Datenstruktur auf Deutsch

de: Einzelbasis - Bilanz- und Kundenpositionen bei Jahr, Bilanzposition und Domizil

en: Individual basis - Balance sheet and client positions by Year, Balance sheet item and Domicile

banken

display_name: banken

banking-institutions

display_name: banking-institutions

de: Einzelbasis - Bilanz- und Kundenpositionen nach Domizil seit 2017

en: Individual basis - Balance sheet and client positions by domicile since 2017


maintainer: Amt für Statistik

de: Erstzugelassene Fahrzeuge bei Jahr, Motorfahrzeuge/Anhänger, Fahrzeuggruppe, Treibstoffart und Monat

en: Vehicles registered for the first time by Year, Motor vehicles/trailers, Vehicle group, Type of fuel and Month

fahrzeug-erstzulassungen

display_name: fahrzeug-erstzulassungen

mobility-and-transport

display_name: mobility-and-transport

tran

fr: Transports

de: Verkehr

en: Transport

it: Trasporti

de: Erstzugelassene Fahrzeuge nach Motorfahrzeuge/Anhänger, Fahrzeuggruppe, Treibstoffart und Monat

en: Vehicles registered for the first time by motor vehicles/trailers, vehicle group, type of fuel and month


de: Datenwürfel auf Deutsch

en: Data structure in German

de: Datenwürfel auf Englisch

en: Data cube in English

de: Gebäude bei Jahr, Anzahl Wohneinheiten und Gemeinde

en: Buildings by Year, Number of housing units and Municipality

buildings-dwellings

display_name: buildings-dwellings

gebaude-wohnungen

display_name: gebaude-wohnungen

de: Gebäude nach Anzahl Wohneinheiten und Gemeinde seit 2010

en: Buildings by number of dwellings and municipality since 2010


de: Datenstruktur auf Englisch

en: Data structure in English

en: Data cube in German

de: Bauprojekte bei Bewilligungsjahr, Art der Arbeiten, Kategorie der Bauwerke und Gemeinde

en: Construction projects by Year of approval, Type of work, Building categories and Municipality

bautatigkeit

display_name: bautatigkeit

construction-activity

display_name: construction-activity

econ

de: Wirtschaft und Finanzen

en: Economy and finance

amt-fuer-statistik-fl

de: Amt für Statistik

de: Bauprojekte nach Kategorie der Bauwerke, Art der Arbeiten und Gemeinde seit 2010

en: Construction projects type of work, building category and municipality since 2010


de: Einbürgerungen im ordentlichen Verfahren bei Jahr, Heimatgemeinde und Geschlecht

en: Naturalisations by ordinary procedure by Year, Home municipality and Sex

soci

de: Bevölkerung und Gesellschaft

en: Population and society

intr

de: Internationale Themen

en: Office of Statistics

en: The Office of Statistics is Liechtenstein's statistical information center. It provides the national and municipal authorities as well as the public with relevant, reliable and coherent statistical information on society, economy and environment in Liechtenstein.

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

de: Einbürgerung im ordentlichen Verfahren nach Heimatgemeinde und Geschlecht seit 1970

en: Naturalisations by ordinary procedure by home municipality and sex since 1970


de: Datenstruktur auf Deutsch

de: Erstzugelassene Personenwagen bei Jahr, Marke und Monat

en: Passenger cars registered for the first time by Year, Make and Month

de: Erstzugelassene Personenwagen nach Marke und Monat

en: Passenger cars registered for the first time by make and month


de: Datenwürfel auf Deutsch

de: Erstzugelassene Personenwagen bei Jahr, Karosserie, Antriebsart und Leistungsklasse

en: Passenger cars registered for the first time by Year, Type of body, Type of drive and Engine power class

tran

de: Verkehr

en: Transport

de: Erstzugelassene Personenwagen nach Karosserie, Antriebsart und Leistungsklasse

en: Passenger cars registered for the first time by type of body, type of drive and engine power class


de: Datenstruktur auf Englisch

en: Data structure in German

de: Datenwürfel auf Englisch

en: Data cube in English

de: Bodenversiegelung bei Jahr und Kategorie

en: Soil sealing by Year and Category

landscape-forest-soil-biodiversity

display_name: landscape-forest-soil-biodiversity

landschaft-wald-boden-biodiversitat

display_name: landschaft-wald-boden-biodiversitat

envi

fr: Environnement

de: Umwelt

en: Environment

it: Ambiente

de: Bodenversiegelung nach Kategorie seit 1984

en: Soil sealing by category since 1984


en: Data cube in German

en: Data structure in English

de: Beschäftigte aus dem Ausland bei Jahr, Wohnregion und Arbeitsgemeinde

en: Persons employed from abroad by Year, Region of residence and Municipality of work

beschaftigung

display_name: beschaftigung

employment

display_name: employment

econ

de: Wirtschaft und Finanzen

en: Economy and finance

amt-fuer-statistik-fl

de: Amt für Statistik

de: Beschäftigte aus dem Ausland nach Wohnregion und Arbeitsgemeinde seit 2008

en: Persons employed from abroad by region of residence and municipality of work since 2008


de: Vermögenspositionen (Steuerpflichtige Personen) bei Jahr, Kennzahl und Vermögensposition

en: Wealth positions (taxable persons) by Year, Key figure and Wealth positions

vermogens--und-einkommensverteilung

display_name: vermogens--und-einkommensverteilung

wealth-and-income-distribution

display_name: wealth-and-income-distribution

soci

de: Bevölkerung und Gesellschaft

en: Population and society

en: Office of Statistics

en: The Office of Statistics is Liechtenstein's statistical information center. It provides the national and municipal authorities as well as the public with relevant, reliable and coherent statistical information on society, economy and environment in Liechtenstein.

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

de: Vermögenspositionen (Steuerpflichtige Personen) seit 2020

en: Wealth positions (taxable persons) since 2020


de: Datenstruktur auf Deutsch

de: Datenwürfel auf Deutsch

de: Altautos bei Jahr und Kennzahl

en: End-of-life vehicles by Year and Key figure

abfall

display_name: abfall

waste

display_name: waste

de: Altautos nach Kennzahl seit 1996

en: End-of-life vehicles by key figure since 1996


en: Data structure in German

de: 463.001 Unfallversicherer bei Jahr, Referenzgrösse und Versicherungszweig

accident-insurers

display_name: accident-insurers

unfallversicherer

display_name: unfallversicherer

heal

de: Gesundheit

en: Health

de: 463.001 Unfallversicherer nach Referenzgrösse und Versicherungszweig seit 2005


de: Datenstruktur auf Englisch

de: Datenwürfel auf Englisch

en: Data cube in English

de: Ausgaben Staat bei Jahr, Funktion und Art

en: Government expenditure by Year, Function and Kind

offentliche-finanzen

display_name: offentliche-finanzen

public-finance

display_name: public-finance

gove

fr: Gouvernement et secteur public

de: Regierung und öffentlicher Sektor

en: Government and public sector

it: Governo e settore pubblico

de: Ausgaben Staat nach Funktion und Art seit 2011

en: Government expenditure by function and kind since 2011


en: Data structure in English

en: Data cube in German

de: Weinernte bei Jahr und Sorte | Gemeinde

en: Wine harvest by Year and Type of wine | Municipality

agriculture

display_name: agriculture

landwirtschaft

display_name: landwirtschaft

agri

fr: Agriculture, pêche, sylviculture et alimentation

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

en: Agriculture, fisheries, forestry and food

it: Agricoltura, pesca, silvicoltura e prodotti alimentari

econ

de: Wirtschaft und Finanzen

amt-fuer-statistik-fl

de: Amt für Statistik

de: Weinernte nach Sorte und Gemeinde since 1954

en: Wine harvest by type of wine and municipality since 1954


de: Datenstruktur auf Deutsch

de: Trinkwasserverbrauch bei Jahr, Verbraucher und Kennzahl

en: Drinking water consumption by Year, Consumer and Key figure

wasser

display_name: wasser

water

display_name: water

envi

de: Umwelt

en: Environment

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

de: Trinkwasserverbrauch nach Verbraucher und Kennzahl seit 1982

en: Drinking water consumption by consumer and key figure since 1982


de: Datenwürfel auf Deutsch

de: Bauprojekte bei Bewilligungsjahr, Art der Arbeiten, Kategorie der Bauwerke und Kategorie der Auftraggeber

en: Construction projects by Year of approval, Type of work, Building categories and Client categories

bautatigkeit

display_name: bautatigkeit

construction-activity

display_name: construction-activity

econ

en: Economy and finance

amt-fuer-statistik-fl

en: Office of Statistics

en: The Office of Statistics is Liechtenstein's statistical information center. It provides the national and municipal authorities as well as the public with relevant, reliable and coherent statistical information on society, economy and environment in Liechtenstein.

de: Bauprojekte nach Art der Arbeiten, Kategorie der Bauwerke und Kategorie der Auftraggeber seit 2010

en: Construction projects by type of work, building categories and client categories since 2010


de: Datenstruktur auf Englisch

en: Data structure in German

de: Datenwürfel auf Englisch

en: Data cube in English

de: Durchschnittlicher Nettomietpreis nach Stichtag, Wohnungsfläche und Gemeinde

en: Average net rent by Reference date, Useful floor space and Municipality

mietpreise

display_name: mietpreise

rental-prices

display_name: rental-prices

de: Durchschnittlicher Nettomietpreis nach Wohnungsfläche und Gemeinde

en: Average net rent by useful floor space and municipality


en: Data structure in English

de: Steuerpflichtige Personen, Erwerb und Steuern bei Jahr, Altersklasse, Kennzahl und Steuerklasse

en: Taxable persons by Year, Age group, Key figure and Tax category

soci

de: Bevölkerung und Gesellschaft

en: Population and society

de: Steuerpflichtige Personen, Erwerb und Steuern nach Steuerbetrag und Altersgruppe seit 2020

en: Taxable persons, earnings and taxes by Tax category and age group since 2020


en: Data cube in German

de: Privathaushalte bei Jahr, Bruttovermögensklasse und Schuldenklasse

en: Private households by Year, Gross wealth category and Debt category

amt-fuer-statistik-fl

de: Amt für Statistik

de: Privathaushalte nach Bruttovermögens- und Schuldenklasse seit 2020

en: Private households by Gross wealth category and Debt category since 2020


de: Datenstruktur auf Deutsch

de: Sonderabfälle aus Gewerbe und Industrie bei Jahr und Sonderabfallkategorie

en: Special wastes from commerce and industry by Year and Special waste category

envi

en: Environment

de: Sonderabfälle aus Gewerbe und Industrie nach Sonderabfallkategorie seit 1987

en: Special wastes from commerce and industry by special waste category since 1987


de: Asylgesuche und Schutzsuchende nach Jahr, Staatsbürgerschaft, Geschlecht und Monat bei Jahr, Staatsbürgerschaft, Geschlecht, Bewilligungstyp und Monat

en: Asylum applications and Protection applications by Year, Citizenship, Sex and Month by Year, Citizenship, Sex, Type of authorization and Month

asylum

display_name: asylum

asylwesen

display_name: asylwesen

intr

de: Internationale Themen

en: International issues

amt-fuer-statistik-fl

en: Office of Statistics

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

de: Asylgesuche und Schutzsuchende nach Staatsbürgerschaft, Geschlecht und Monat seit 2011

en: Asylum applications and Protection applications by citizenship, sex and month since 2011


en: Data structure in German

de: Datenstruktur auf Englisch

de: Datenwürfel auf Deutsch

en: Data cube in English

de: Abschlüsse von Studierenden aus Liechtenstein an Universitäten nach Jahr, Studienland, Fächergruppe, Geschlecht und Exemensstufe

en: Graduates form Liechtenstein at universities by Year, Country of study, Fields of study, Sex and Level of graduation

hochschulen

display_name: hochschulen

tertiary-education

display_name: tertiary-education

educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

en: Education, culture and sport

it: Istruzione, cultura e sport

en: The Office of Statistics is Liechtenstein's statistical information center. It provides the national and municipal authorities as well as the public with relevant, reliable and coherent statistical information on society, economy and environment in Liechtenstein.

de: Abschlüsse von Studierenden aus Liechtenstein an Universitäten nach Examensstufe, Fächergruppe, Studienland und Geschlecht seit 2014

en: Graduates from Liechtenstein at universities by level of graduation, fields of study, country of study and sex since 2014


en: Data structure in English

de: Datenwürfel auf Englisch

de: Warenhandel bei Warengruppe CPA, Jahr, Richtung, Total und Einheit

en: Trade in goods by CPA, Year, Traffic direction, Total and Unit

foreign-trade-in-goods

display_name: foreign-trade-in-goods

warenhandel

display_name: warenhandel

de: Warenhandel nach Warengruppe CPA und Richtung seit 2016

en: Trade in goods by classification of products CPA and traffic direction since 2016


en: Data cube in German

de: Erwerbstätige nichtständige Bevölkerung bei Jahr, Wirtschaftszweig, Altersklasse und Geschlecht

en: Non-permanent resident population in gainful employment by Year, Economic activity, Age group and Sex

erwerbstatigkeit

display_name: erwerbstatigkeit

population-in-gainful-employment

display_name: population-in-gainful-employment

econ

de: Wirtschaft und Finanzen

en: Economy and finance

amt-fuer-statistik-fl

de: Amt für Statistik

de: Erwerbstätige nichtständige Bevölkerung nach Wirtschaftszweig, Altersklasse und Geschlecht seit 2006

en: Non-permanent resident population in gainful employment by economic activity, age group and sex since 2006


de: Datenstruktur auf Deutsch

de: Einzelbasis - Bilanz (Passiven) bei Jahr, Passiven und Fälligkeit

en: Individual basis - Balance sheet (liabilities) by Year, Liabilities and Maturity

banken

display_name: banken

banking-institutions

display_name: banking-institutions

de: Einzelbasis - Bilanz (Passiven) nach Fälligkeit seit 2017

en: Individual basis - Balance sheet (liabilities) by maturity since 2017


de: Warenhandel nach Jahr, Wirtschaftsraum, Richtung und Einheit

en: Trade in goods by Year, Economic area, Traffic direction and Unit

amt-fuer-statistik-fl

en: Office of Statistics

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

de: Warenhandel nach Wirtschaftsraum und Richtung 1995 bis 2019

en: Trade in goods by economic area and traffic direction 1995 to 2019


en: Data structure in German

de: Datenstruktur auf Englisch

en: Data cube in English

de: Datenwürfel auf Deutsch

de: Migration nach Jahr, Richtung, Heimat, Herkunfts- bzw. Zielland, Geschlecht und Wohngemeinde bei Jahr, Richtung, Heimat, Herkunfts- bzw, Geschlecht und Wohngemeinde

en: Migration by Year, Direction, Citizenship, Country of origin / Country of destination, Sex and Municipality of residence by Year, Direction, Citizenship, Country of origin / Country of destination, Sex and Municipality of residence

migration-binnenwanderung

display_name: migration-binnenwanderung

migration-internal-migration

display_name: migration-internal-migration

soci

de: Bevölkerung und Gesellschaft

en: Population and society

intr

de: Internationale Themen

en: International issues

de: Migration nach Richtung, Herkunfts- bzw. Zielland, Geschlecht, Wohngemeinde und Heimat seit 2011

en: Migration by direction, country of origin/country of destination, sex, municipality of residence and citizenship since 2011


en: Data structure in English

de: Datenwürfel auf Englisch

de: Gesundheitsausgaben in Tausend CHF bei Jahr, Funktion der Gesundheitsversorgung, Ort der Leistung und Leistungserbringer

en: Health accounts in thousand CHF by Year, Function, Place of activity and Provider

gesundheitsausgaben

display_name: gesundheitsausgaben

health-accounts

display_name: health-accounts

heal

de: Gesundheit

en: Health

amt-fuer-statistik-fl

en: The Office of Statistics is Liechtenstein's statistical information center. It provides the national and municipal authorities as well as the public with relevant, reliable and coherent statistical information on society, economy and environment in Liechtenstein.

de: Gesundheitsausgaben in Tausend CHF nach Funktion der Gesundheitsversorgung, Ort der Leistung und Leistungserbringer der Gesundheitsversorgung seit 2013

en: Health accounts in thousand CHF by function, place of activity and provider since 2013


en: Data cube in German

de: Bestand der Asylbewerber, vorläufig Aufgenommenen und Personen mit Schutzstatus nach Jahr, Staatsbürgerschaft, Geschlecht und Wohngemeinde bei Jahr, Staatsbürgerschaft, Geschlecht, Bewilligungstyp und Wohngemeinde

en: Number of Asylum applications, Provisionally accepted applicants and Persons in need of protection by Year, Citizenship, Sex and Municipality of residence by Year, Citizenship, Sex, Type of authorization and Municipality of residence

de: Amt für Statistik

de: Bestand der Asylbewerber und vorläufig Aufgenommenen nach Staatsbürgerschaft, Geschlecht und Wohngemeinde seit 2014

en: Number of asylum applications and provisionally accepted applicants by citizenship, sex and municipality of residence since 2014


de: Datenstruktur auf Deutsch

de: Einkommen (Steuerpflichtige Personen) bei Jahr, Altersklasse, Einkommen und Kennzahl

en: d Income (taxable persons) by Year, Age group, Income and Key figure

vermogens--und-einkommensverteilung

display_name: vermogens--und-einkommensverteilung

wealth-and-income-distribution

display_name: wealth-and-income-distribution

de: Einkommen (Steuerpflichtige Personen) nach Altersklasse seit 2020

en: d Income (taxable persons) by age group since 2020


de: Vollzeitäquivalente bei Jahr, Wirtschaftszweig, Heimat, Wohnland und Geschlecht

en: Full-time equivalents by Year, Economic activity, Citizenship, Country of residence and Sex

beschaftigung

display_name: beschaftigung

employment

display_name: employment

econ

de: Wirtschaft und Finanzen

en: Economy and finance

amt-fuer-statistik-fl

en: Office of Statistics

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

de: Vollzeitäquivalente nach Wirtschaftszweig, Heimat, Wohnland und Geschlecht seit 2008

en: Full-time equivalents by economic activity, citizenship, country of residence and sex since 2008


de: Datenstruktur auf Englisch

de: Datenwürfel auf Deutsch

en: Data cube in English

en: Data structure in German

de: Wahlbeteiligung bei Landtagswahlen bei Jahr, Wahlkreis, Kennzahl und Gruppe

en: Voter turnout in parliamentary elections by Year, Constituency, Key figure and Group

elections-referendums

display_name: elections-referendums

wahlen-abstimmungen

display_name: wahlen-abstimmungen

gove

de: Regierung und öffentlicher Sektor

en: Government and public sector

de: Wahlbeteiligung bei Landtagswahlen nach Wahlkreis, Gruppe und Kennzahl seit 2019

en: Voter turnout in parliamentary elections by constituency, group and key figure since 2019


en: Data structure in English

de: Datenwürfel auf Englisch

de: Eintragungen und Auflösungen von Partnerschaften bei Jahr, Geschlecht, Partnerschaften und Kennzahl

en: Registrations and dissolutions of partnerships by Year, Sex, Partnerships and Indicator

ehen-partnerschaften

display_name: ehen-partnerschaften

marriages-partnerships

display_name: marriages-partnerships

soci

de: Bevölkerung und Gesellschaft

en: Population and society

de: Eintragungen und Auflösungen von Partnerschaften seit 2011

en: Registrations and dissolutions of partnerships since 2011


en: Data cube in German

de: Fiskaleinnahmen bei Rechnungsjahr und Empfänger

en: Public revenue by Fiscal year and Recipient

steuern-abgaben

display_name: steuern-abgaben

taxes-levies

display_name: taxes-levies

amt-fuer-statistik-fl

de: Amt für Statistik

en: The Office of Statistics is Liechtenstein's statistical information center. It provides the national and municipal authorities as well as the public with relevant, reliable and coherent statistical information on society, economy and environment in Liechtenstein.

de: Fiskaleinnahmen nach Empfänger und Rechnungsjahr seit 1998

en: Public revenue by recipient and fiscal year since 1998


de: Datenstruktur auf Deutsch

de: Heiratende Personen bei Jahr, Geschlecht und Monat

en: Marrying persons by Year, Sex and Month

de: Heiratende Personen nach Geschlecht und Monat seit 1999

en: Marrying persons by sex and month since 1999


de: Erwerbstätige ständige Bevölkerung bei Jahr, Wirtschaftszweig, Geschlecht, Altersklasse und Heimat

en: Permanent resident population in gainful employment by Year, Economic activity, Sex, Age group and Citizenship

erwerbstatigkeit

display_name: erwerbstatigkeit

population-in-gainful-employment

display_name: population-in-gainful-employment

econ

de: Wirtschaft und Finanzen

en: Economy and finance

en: Office of Statistics

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

de: Erwerbstätige ständige Bevölkerung nach Wirtschaftszweig, Geschlecht, Altersklasse und Heimat seit 2006

en: Permanent resident population in gainful employment by economic activity, sex, age group and citizenship since 2006


de: Datenstruktur auf Englisch

de: Datenwürfel auf Deutsch

en: Data cube in English

en: Data structure in German

de: Konsolidiert - Konsolidierte Erfolgsrechnungsdaten bei Jahr und Erfolgsrechnung

en: Consolidated - Consolidated income statement data by Year and Income statement

banken

display_name: banken

banking-institutions

display_name: banking-institutions

de: Konsolidiert - Konsolidierte Erfolgsrechnungsdaten seit 2017

en: Consolidated - Consolidated income statement data since 2017


de: Datenwürfel auf Englisch

en: Data structure in English

de: Erstzugelassene Personenwagen bei Berichtsjahr, Segment, Antriebsart, Treibstoffart und Gesamtgewichtsklasse

en: Passenger cars registered for the first time by Year, Segment, Type of drive, Type of fuel and Maximum gross weight class

fahrzeug-erstzulassungen

display_name: fahrzeug-erstzulassungen

mobility-and-transport

display_name: mobility-and-transport

tran

de: Verkehr

en: Transport

de: Erstzugelassene Personenwagen nach Segment, Antriebsart, Treibstoffart und Gesamtgewichtsklasse

en: Passenger cars registered for the first time by segment, type of drive, type of fuel and maximum gross weight class


en: Data cube in German

de: Treibhausgasemissionen bei Jahr und Quelle

en: Greenhouse gas emissions by Year and Source

air-climate

display_name: air-climate

luft-klima

display_name: luft-klima

envi

de: Umwelt

en: Environment

amt-fuer-statistik-fl

de: Amt für Statistik

de: Treibhausgasemissionen nach Quelle seit 1990

en: Greenhouse gas emissions by source since 1990


de: Datenstruktur auf Deutsch

de: Strom bei Jahr und Kennzahl

en: Electricity by Year and Key figure

energie

display_name: energie

energy

display_name: energy

ener

fr: Énergie

de: Energie

en: Energy

it: Energia

en: The Office of Statistics is Liechtenstein's statistical information center. It provides the national and municipal authorities as well as the public with relevant, reliable and coherent statistical information on society, economy and environment in Liechtenstein.

de: Strom nach Kennzahl seit 1985

en: Electricity by key figure since 1985


de: Personenwagenbestand nach Stichtag, Hubraumklasse, Leistungsklasse und Altersklasse (Jahre)

en: Licensed passenger cars by Reference date, Engine capacity class, Engine power class and Age category (years)

fahrzeugbestand

display_name: fahrzeugbestand

licensed-vehicles

display_name: licensed-vehicles

amt-fuer-statistik-fl

en: Office of Statistics

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

de: Personenwagenbestand nach Hubraumklasse, Leistungsklasse und Altersklasse seit 2013

en: Licensed passenger cars by engine capacity class, engine power class and age category since 2013


de: Datenwürfel auf Deutsch

en: Data structure in German

en: Data cube in English

de: Datenstruktur auf Englisch

de: Einkommensentstehungskonto zu laufenden Preisen 1998 - 2013 nach Jahr, Transaktion und Institutioneller Sektor

en: Generation of income account at current prices 1998 - 2013 by Year, Transaction and Institutional sector

national-accounts

display_name: national-accounts

volkswirtschaftliche-gesamtrechnungen

display_name: volkswirtschaftliche-gesamtrechnungen

econ

de: Wirtschaft und Finanzen

en: Economy and finance

de: Einkommensentstehungskonto zu laufenden Preisen 1998 - 2013 nach Sektor

en: Generation of income account at current prices 1998 - 2013 by institutional sector


en: Data structure in English

de: Datenwürfel auf Englisch

de: Erwerbstätige Bevölkerung nach Stichtag, Höchste abgeschlossene Ausbildung, Heimat, Geschlecht und Wohngemeinde

en: Population in gainful employment by Reference date, Educational attainment, Citizenship, Sex and Municipality of residence

bildungsstand

display_name: bildungsstand

educational-attainment

display_name: educational-attainment

educ

de: Bildung, Kultur und Sport

en: Education, culture and sport

de: Erwerbstätige Bevölkerung nach höchster abgeschlossener Ausbildung, Heimat, Geschlecht und Wohngemeinde

en: Population in gainful employment by educational attainment, citizenship, sex and municipality of residence


en: Data cube in German

de: Internes F+E-Personal bei Jahr, Sektor, Tätigkeit und Kennzahl

en: Internal R+D personnel by Year, Sector, Function and Key figure

forschung-und-entwicklung

display_name: forschung-und-entwicklung

research-and-development

display_name: research-and-development

tech

fr: Science et technologie

de: Wissenschaft und Technologie

en: Science and technology

it: Scienza e tecnologia

amt-fuer-statistik-fl

de: Amt für Statistik

de: Internes F+E-Personal nach Sektor, Tätigkeit, Geschlecht und Staatsbürgerschaft seit 2019

en: Internal R+D personnel by sector, function, sex and citizenship since 2019


de: Datenstruktur auf Deutsch

de: Luftschadstoffemissionen bei Jahr und Schadstoff

en: Air pollutant emissions by Year and Air pollutant

envi

de: Umwelt

en: Environment

en: The Office of Statistics is Liechtenstein's statistical information center. It provides the national and municipal authorities as well as the public with relevant, reliable and coherent statistical information on society, economy and environment in Liechtenstein.

de: Luftschadstoffemissionen nach Schadstoff seit 1985

en: Air pollutant emissions by air pollutant since 1985


de: Datenwürfel auf Deutsch

en: Data structure in German

de: Lernende aus Liechtenstein an Berufsmaturitätsschulen bei Jahr, Bildungsfeld und Geschlecht

en: Apprentices from Liechtenstein at vocational baccalaureate schools by Year, Field of education and Sex

duale-ausbildung

display_name: duale-ausbildung

vocational-education-and-training

display_name: vocational-education-and-training

amt-fuer-statistik-fl

en: Office of Statistics

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

de: Lernende aus Liechtenstein an Berufsmaturitätsschulen nach Jahr, Bildungsfeld und Geschlecht seit 2010/11

en: Apprentices from Liechtenstein at vocational baccalaureate schools by year, field of education and sex since 2010/11


de: Datenstruktur auf Englisch

en: Data cube in English

de: Privathaushalte mit Personen ab 80 Jahren nach Stichtag, Haushaltstyp und Gemeinde

en: Private households with people aged 80 years and over by Reference date, Type of household and Municipality

haushalte-familien

display_name: haushalte-familien

households-families

display_name: households-families

soci

de: Bevölkerung und Gesellschaft

en: Population and society

de: Privathaushalte mit Personen ab 80 Jahren nach Haushaltstyp und Gemeinde

en: Private households with people aged 80 years and over by type of household and municipality


de: Datenwürfel auf Englisch

en: Data structure in English

de: Anhängerbestand: Wohnanhänger nach Stichtag, Marke (Wohnanhänger), Anzahl Achsen und Altersklasse (Jahre)

en: Licensed trailers: Caravan trailers by Reference date, Make (caravan trailers), Number of axles and Age category (years)

tran

de: Verkehr

en: Transport

de: Anhängerbestand: Wohnanhänger nach Marke, Anzahl Achsen und Altersklasse seit 2015

en: Licensed trailers: Caravan trailers by make, number of axles and age category since 2015


en: Data cube in German

de: Ehescheidungen von Männern bei Jahr und Ehedauer

en: Divorces of males by Year and Duration of marriage

ehen-partnerschaften

display_name: ehen-partnerschaften

marriages-partnerships

display_name: marriages-partnerships

amt-fuer-statistik-fl

de: Amt für Statistik

de: Ehescheidungen von Männern nach Ehedauer seit 1999

en: Divorces of men by duration of marriage since 1999


de: Datenstruktur auf Deutsch

de: Betriebe mit Rindvieh und Rindviehbestand bei Jahr, Kennzahl, Tierkategorie und Grössenklasse | Zone | Region | Gemeinde

en: Holdings with cattle and cattle livestock by Year, Key figure, Animal category and Size class | zone | region | municipality

agriculture

display_name: agriculture

landwirtschaft

display_name: landwirtschaft

agri

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

en: Agriculture, fisheries, forestry and food

econ

de: Wirtschaft und Finanzen

en: Economy and finance

en: The Office of Statistics is Liechtenstein's statistical information center. It provides the national and municipal authorities as well as the public with relevant, reliable and coherent statistical information on society, economy and environment in Liechtenstein.

de: Betriebe mit Rindvieh und Rindviehbestand nach Tierkategorie (detailliert), Grössenklasse, Zone, Region und Gemeinde seit 2010

en: Holdings with cattle and cattle livestock by animal category, size class, zone, region and municipality since 2010


en: Data structure in German

de: Datenwürfel auf Deutsch

de: Warenhandel nach Jahr, Handelspartner, Richtung und Einheit

en: Trade in goods by Year, Trade partner, Traffic direction and Unit

foreign-trade-in-goods

display_name: foreign-trade-in-goods

warenhandel

display_name: warenhandel

amt-fuer-statistik-fl

en: Office of Statistics

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

de: Warenhandel nach Handelspartner und Richtung 1995 bis 2019

en: Trade in goods by commercial partner and traffic direction 1995 to 2019


en: Data cube in English

de: Datenstruktur auf Englisch

de: Bauvolumen (in Tsd. Kubikmeter) bei Bewilligungsjahr, Art der Arbeiten, Art der Auftraggeber, Art der Bauwerke und Gemeinde

en: Construction volume (in thousand cubic metres) by Year of approval, Type of work, Type of clients, Type of buildings and Municipality

bautatigkeit

display_name: bautatigkeit

construction-activity

display_name: construction-activity

de: Bauvolumen (in Tsd. Kubikmeter) nach Art der Arbeiten, Art der Auftraggeber, Art der Bauwerke und Gemeinde seit 2010

en: Construction volume (in thousand cubic metres) by type of work, type of clients, type of buildings and municipality since 2010


de: Datenwürfel auf Englisch

en: Data structure in English

de: Lernende aus Liechtenstein bei Jahr, Lehrbetriebsland, Bildungsfeld, Geschlecht und Lehrjahr

en: Apprentices from Liechtenstein by Year, Country of company, Field of education, Sex and Training year

educ

de: Bildung, Kultur und Sport

en: Education, culture and sport

de: Lernende aus Liechtenstein nach Lehrbetriebsland, Bildungsfeld, Lehrjahr und Geschlecht seit 2014/15

en: Apprentices from Liechtenstein by country of company, field of education, training year and sex since 2014/15


en: Data cube in German

de: Häufigkeitsverteilung der effektiven Bruttomonatslöhne nach Jahr, Lohnhöhenklasse, Vollzeit/Teilzeit und Geschlecht

en: Distribution of effective gross monthly wages by Year, Wage category, Full-time/part-time and Sex

lohne

display_name: lohne

wages

display_name: wages

amt-fuer-statistik-fl

de: Amt für Statistik

de: Häufigkeitsverteilung der effektiven Bruttomonatslöhne nach Lohnhöhenklasse, Voll-/Teilzeit und Geschlecht

en: Distribution of effective gross monthly wages by wage category, full-/part-time and sex


de: Datenstruktur auf Deutsch

de: Holznutzung bei Jahr, Holzsortiment und Holzart

en: d Wood utilization by Year, Wood assortement and Type of wood

landscape-forest-soil-biodiversity

display_name: landscape-forest-soil-biodiversity

landschaft-wald-boden-biodiversitat

display_name: landschaft-wald-boden-biodiversitat

envi

de: Umwelt

en: Environment

de: Holznutzung nach Holzsortiment und Holzart seit 1986

en: Wood utilization by wood assortment and type of wood since 1986


en: Data structure in German

de: Datenwürfel auf Deutsch

de: Einnahmen der Gemeinden aus umweltbezogenen Abgaben nach Jahr und Abgabenkategorie bei Jahr und Abgabenkategorie

en: Revenue of municipalities from environmental related levies by Year and Levies category

environmental-levies

display_name: environmental-levies

umweltabgaben

display_name: umweltabgaben

amt-fuer-statistik-fl

en: The Office of Statistics is Liechtenstein's statistical information center. It provides the national and municipal authorities as well as the public with relevant, reliable and coherent statistical information on society, economy and environment in Liechtenstein.

de: Einnahmen der Gemeinden aus umweltbezogenen Abgaben nach Abgabenkategorie seit 2005

en: Revenue of municipalities from environmental related levies by levies category since 2005


de: Datenstruktur auf Englisch

en: Data cube in English

de: CO2-Emissionen neuverkaufter Personenwagen bei Jahr, Treibstoffart und Kennzahl

en: CO2 emissions of passenger cars registered for the first time by Year, Type of fuel and Key figure

air-climate

display_name: air-climate

luft-klima

display_name: luft-klima

en: Office of Statistics

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

de: CO2-Emissionen neuverkaufter Personenwagen nach Kennzahl und Treibstoff seit 2002

en: CO2 emissions of passenger cars registered for the first time by key figure and type of fuel since 2002


de: Datenwürfel auf Englisch

en: Data structure in English

de: Landwirtschaftsfahrzeugbestand nach Stichtag, Fahrzeugart, Marke, Gesamtgewichtsklasse und Altersklasse (Jahre)

en: Licensed agricultural vehicles by Reference date, Type of vehicle, Make, Maximum gross weight class and Age category (years)

fahrzeugbestand

display_name: fahrzeugbestand

licensed-vehicles

display_name: licensed-vehicles

tran

de: Verkehr

en: Transport

de: Landwirtschaftsfahrzeugbestand nach Fahrzeugart, Marke, Gesamtgewichtsklasse und Altersklasse seit 2015

en: Licensed agricultural vehicles by type of vehicle, make, maximum gross weight class and age category since 2015


en: Data cube in German

de: Nutztiere gesömmert bei Jahr, Tierkategorie und Grössenklasse | Zone | Region

en: Livestock summered by Year, Animal category and Size class | zone | region

agri

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

en: Agriculture, fisheries, forestry and food

econ

de: Wirtschaft und Finanzen

en: Economy and finance

amt-fuer-statistik-fl

de: Amt für Statistik

de: Nutztiere gesömmert nach Tierkategorie, Grössenklasse, Zone und Region seit 2005

en: Livestock summered by animal category, size class, zone and region since 2005


de: Datenstruktur auf Deutsch

en: Data structure in German

de: Bevölkerung nach Szenario, Heimat, Geschlecht, Altersklasse und Jahr

en: Population by Scenario, Citizenship, Sex, Age group and Year

bevolkerungsszenarien

display_name: bevolkerungsszenarien

population-scenarios

display_name: population-scenarios

soci

de: Bevölkerung und Gesellschaft

en: Population and society

de: Bevölkerung nach Szenario, Heimat, Geschlecht und Altersklasse von 2023 bis 2060

en: Population by Scenario, Citizenship, Sex and Age group from 2023 to 2060


de: Datenwürfel auf Deutsch

en: Data cube in English

de: Datenstruktur auf Englisch

de: Monatlicher Bruttolohn nach Jahr, Vollzeit/Teilzeit, Staatsbürgerschaft, Wirtschaftszweig, Geschlecht und Kennzahl

en: Monthly gross wage by Year, Full-time/Part-time, Citizenship, Economic activity, Sex and Key figure

amt-fuer-statistik-fl

en: The Office of Statistics is Liechtenstein's statistical information center. It provides the national and municipal authorities as well as the public with relevant, reliable and coherent statistical information on society, economy and environment in Liechtenstein.

de: Monatlicher Bruttolohn nach Voll-/Teilzeit, Staatsbürgerschaft, Wirtschaftszweig und Geschlecht

en: Gross monthly wage by full-/part-time, citizenship, economic activity and sex


en: Data structure in English

de: Datenwürfel auf Englisch

de: Studierende an Hochschulen in Liechtenstein nach Jahr, Ausbildungsstätte, Geschlecht und Wohnland

en: Students at institutions of higher education in Liechtenstein by Year, Institution, Sex and Country of residence

hochschulen

display_name: hochschulen

tertiary-education

display_name: tertiary-education

educ

de: Bildung, Kultur und Sport

en: Education, culture and sport

en: Office of Statistics

de: Das Amt für Statistik ist das statistische Informationszentrum Liechtensteins. Es liefert den Landes- und Gemeindebehörden sowie der Öffentlichkeit relevante, zuverlässige und kohärente statistische Informationen zu Gesellschaft, Wirtschaft und Umwelt in Liechtenstein.

de: Studierende an Hochschulen in Liechtenstein nach Ausbildungsstätte, Geschlecht und Wohnland seit 2005/06

en: Students at institutions of higher education in Liechtenstein by institution, sex and country of residence since 2005/06


en: Data cube in German

de: Ständige Bevölkerung ab 15 Jahren nach Stichtag, Anzahl Kinder, Heimat, Geschlecht und Fünfjahresklassen

en: Permanent resident population aged 15 years and over by Reference date, Number of children, Citizenship, Sex and Age group

bevolkerungsstruktur

display_name: bevolkerungsstruktur

population-structure

display_name: population-structure

de: Ständige Bevölkerung ab 15 Jahren nach Anzahl Kindern, Heimat, Geschlecht und Fünfjahresklassen

en: Permanent resident population aged 15 years and over by number of children, citizenship, sex and age group


de: Erstzugelassene Personenwagen bei Jahr, Marke, Treibstoffart und Monat

en: Passenger cars registered for the first time by Year, Make, Type of fuel and Month

fahrzeug-erstzulassungen

display_name: fahrzeug-erstzulassungen

mobility-and-transport

display_name: mobility-and-transport

tran

de: Verkehr

en: Transport

amt-fuer-statistik-fl

de: Amt für Statistik

de: Erstzugelassene Personenwagen nach Marke, Treibstoffart und Monat

en: Passenger cars registered for the first time by make, type of fuel and month


de: Datenstruktur auf Deutsch

en: Data structure in German

de: Gesundheitsausgaben bei Jahr, Leistungserbringer der Gesundheitsversorgung, Einheit und Ort der Leistung

en: Health accounts by Year, Provider, Unit and Place of activity

gesundheitsausgaben

display_name: gesundheitsausgaben

health-accounts

display_name: health-accounts

heal

de: Gesundheit

en: Health

econ

de: Wirtschaft und Finanzen

en: Economy and finance

de: Gesundheitsausgaben nach Leistungserbringer der Gesundheitsversorgung, Einheit und Ort der Leistung seit 2013

en: Health accounts by provider, unit and place of activity since 2013


de: Datenwürfel auf Deutsch

en: Data cube in English

de: Datenstruktur auf Englisch

de: Interne F+E-Aufwendungen bei Jahr, Wissenschaftsbereich und Sektor

en: Intramural expenditure on R+D by Year, Academic field and Sector

forschung-und-entwicklung

display_name: forschung-und-entwicklung

research-and-development

display_name: research-and-development

tech

de: Wissenschaft und Technologie

en: Science and technology

amt-fuer-statistik-fl

en: The Office of Statistics is Liechtenstein's statistical information center. It provides the national and municipal authorities as well as the public with relevant, reliable and coherent statistical information on society, economy and environment in Liechtenstein.

de: Interne F+E-Aufwendungen nach Wissenschaftsbereich und Sektor seit 2019

en: Intramural expenditure on R+D by academic field and sector since 2019


en: tree-ring stable-isotopes abies-alba soil-water vpd drought dendrochronology pinus-sylvestris picea-abies

media_type: application/zip

en:
Description of key files
- climate_arranged_day0.Rds – aligned climate data according to the onset day
- climate_raw.Rds – aggregated climate data into hourly estimates
- d13cAtmCorr.Rds – atmospherically corrected shot-level δ13C for each site and tree
- d13c_mean. Rds – atmospherically corrected shot-level δ13C for each site, averaged across individual trees.
- climate_VPD_soil.Rds – processed VPD and SWP data
- climate_smoothed_method_figure.Rds – climate data used for Figure 1
- df_max_day. Rds – calculated maximum day of year for all onset days
- "1 arrange climate according to day0.R" – R script to arrange climate data according to the onset day
- "2 dendroTools analysis and heatmaps.R" – R script to calculate heatmaps of daily correlations
- "3 cross-correaltion analysis.R" – R script to perform the cross-correlation analysis to obtain the maximal correlation coefficient for a range of potential end days
- "4 linear models.R" – R script to fit linear models between δ13C and VPD and SWP

format: ZIP

en:
The data consists of a collection of environmental data, tree-ring width and intra-annual δ13C measurements of tree rings of three conifer species (Pinus sylvestris, Picea abies, Abies alba), and the R scripts that were used to analyse the data. Data was collected at two pairs of north and south exposed sites in Switzerland, in the Eastern Grisons (Surava North and Surava South) and Central Valais (Buthan and Lens).
Intra-annual δ13C measurements were obtained using the laser ablation technique, which involved 10 sequential shots per ring. Shot 1 represents the δ13C value at the start of the ring, while Shot 10 corresponds to the δ13C value at the end of the ring's formation. Overall, the datasets consist of 400 profiles and 4000 isotope measurements.
Environmental data was collected at each site over decade, from 2012 to 2023. Key environmental variables include temperature, vapour pressure deficit (VPD), and soil water potential (SWP). Precipitation data was obtained from the EOBS v29.0e dataset (https://www.ecad.eu/download/ensembles/download.php) from the closest grid point. All data was aggregated on an hourly to daily scale.
In addition to environmental data, dendrometer data was used to derive the onset days, beginning of growth for each site (Onset_days.Rds). The data captures the dynamic relationship between environmental factors, such as soil and air moisture, and tree physiological responses, as reflected in δ13C variation. This dataset provides insights into the intra-seasonal interactions between environmental conditions and tree physiology. We provide the scripts for the main analyses performed in the Vitali, V. et al. 2025 article listed below, including the correlation of the isotope intra-annual time series with environmental variables.
This dataset contains all data on which the publication listed below is based.
Please cite this paper together with the citation for the datafile.

abies-alba

display_name: abies-alba

dendrochronology

display_name: dendrochronology

drought

display_name: drought

picea-abies

display_name: picea-abies

pinus-sylvestris

display_name: pinus-sylvestris

soil-water

display_name: soil-water

stable-isotopes

display_name: stable-isotopes

tree-ring

display_name: tree-ring

vpd

display_name: vpd

educ

de: Bildung, Kultur und Sport

en: Education, culture and sport

envidat

fr: EnviDat: le portail de données environnementales

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

it: EnviDat: il portale dei dati ambientali

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

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

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

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

value: Envidat Harvester

en: 10 years of intra-annual carbon isotopes in tree rings from 3 conifer species


maintainer: Giulia Francesca Azzurra Donati

en: biodiversity circuit-theory human-dominated-landscapes integrated-modelling urban-spatial-planning ecological-corridors

en: Amphibian breeding sites of national importance - cantons of Aargau and Zürich

en: Amphibian breeding sites of national importance (focal nodes) in the cantons of Aargau and Zürich, 30x30 m resolution, binarised ascii format.

format: SERVICE

en: Amphibian species specific landscape resistance maps.

en: For each amphibian species we used the weighted average Ensemble model suitability map and converted it to a resistance map using an exponential decay function following (Duflot et al., 2018) using the species-specific mpa threshold previously computed (Preau et al., 2020). The function assigns a resistance value of 1,000 when habitat suitability equals zero, and a value of one when habitat suitability is greater than or equal to the binarization threshold. The exponential shape strengthens the barrier effect of less favorable areas.

en: Amphibian monitoring data

en: Processed amphibian occurrence data (2017-2019) in the cantons of Aargau and Zürich. The dataset includes information for the following species: _Alytes obstetricans_,_Bombina variegata_, _Bufo bufo_, _Hyla arborea_, _Ichtyosaura alpestris_, _Lissotriton helveticus_, _Lissotriton vulgaris_, _Rana temporaria_, _Salamandra salamandra_, and _Triturus cristatus_.

en: Binarized "green" and "grey" landcover data (Cantons of Aargau and Zürich)

en: "Green" landcover refers to lawns and vegetated urban surfaces such as, for example private gardens, public parks, cemeteries, green stripes along roadsides, etc. While "grey" landcover refers to impervious grounds such as roads, troittoirs, other impervious. Binarized maps, 30x30m resolution.

en: Amphibian whole life cycle predictors - 10m resolution

en:
Amphibian whole life cycle predictors include 6 variable types:
(1)	Topographic – slope [°]: derived from the Swiss Topographical Landscape model (swissTLM 3D 2015) at 2 m resolution (elevation uncertainty ± 0.5m) and, subsequently, aggregated to a median value;
(2)	Hydrologic: two predictors including nearest distance to water [m] (all water-related objects and rasterized lotic, lentic and reedbeds from the regional cadastral maps – AV: Daten der Amtliche Vermessung) and runoff coefficient [C] (between 0 and 1 relating amount of runoff to amount of precipitation, mapped AV: Daten der Amtliche Vermessung data against literature values for different land covers);
(3)	Edaphic – soil moisture variability (not available): can gathered from the spatial modelling of Ecological Indicator Values in Switzerland (Descombes et al., 2020) and resampled from 100m to 10m;
(4)	Vegetation: we calculated the median and standard deviation of the Normalized Difference Vegetation Index (NDVI) from all available cloud free Sentinel-2 pixels available between April and October for the years 2016 to 2019 (Drusch et al., 2012) and the median vegetation height [m] (not available) can gathered from Ginzler and Hobi (2015);
(5)	Land-use derived: includes three predictors, grassland density [grassland/cell] (not available) - can be gathered from Pazur et al. (2021), total grasslands area evaluated using a spatial weight matrix and a 250m neighborhood radius around each cell; urbanization [buildings/cell] – average building density for a 250m neighborhood around each cell based on the AV: Daten der Amtliche Vermessung ; and traffic intensity [vehicles/day] – average daily vehicle count (Nationales Personenverkehrsmodells);
(6)	Movement-ecology related: includes three predictors of proximity – nearest forest distance [m]; nearest rock-gravel and sandy area (RGS) distance [m] and nearest road distance [m] (considering any road type) – all calculated based on the AV: Daten der Amtliche Vermessung maps.

en: The data includes (1) amphibian occurrence data (2017-2019) for ten species across the cantons of Aargau and Zürich gathered from the Coordination Center for the Protection of Amphibians and Reptiles of Switzerland (http://www.karch.ch), (2) amphibian whole-life cycle environmental predictors (i.e. topographic, hydrologic, edaphic, vegetation, land-use derived, movement-ecology related), and (3) local urban "green" and "grey" landcover data which can be used to identify opportunities for Blue-Green Infrastructure (through green or grey transitions) in support of regional landscape connectivity.

biodiversity

display_name: biodiversity

circuit-theory

display_name: circuit-theory

ecological-corridors

display_name: ecological-corridors

human-dominated-landscapes

display_name: human-dominated-landscapes

integrated-modelling

display_name: integrated-modelling

urban-spatial-planning

display_name: urban-spatial-planning

en: Amphibian and urban-rural landscape data Swiss Lowlands


maintainer: Peter Bebi

en: experiment soil-temperature climate-change vegetation carbon-dioxide stillberg

en: Metadata FACE Stillberg Data File Description

media_type: text/csv

en: List of descriptions for each of the .csv FACE data files.

format: CSV

en: Metadata FACE Stillberg Experimental Design

media_type: application/pdf

en: Schematic illustration and tabular listing of the FACE experimental design.

format: PDF

en: Project Description FACE Stillberg

en: Link to FACE project description on the WSL website.

en: Data FACE Stillberg

en: Folder in .zip format containing the FACE datasets.

mimetype: application/zip

en:
 Background information

High elevation ecosystems are important in research about environmental change because shifts in climate associated with anthropogenic greenhouse gas emissions are predicted to be more pronounced in these areas compared to most other regions of the world. This project involved a Free Air CO2 Enrichment (FACE) and soil warming experiment located in a natural treeline environment near Davos, Switzerland (Stillberg, 2200 m a.s.l.). Elevated atmospheric CO2 concentrations (+200 ppm) were applied from 2001 until 2009, and a soil warming treatment (+4 °C) was applied from 2007 until 2012. The combined CO2 enrichment and warming treatment reflects conditions expected to occur in this region in approximately 2050. A broad range of ecological and biogeochemical research was carried out as part of this environmental change project.

 Experimental design

The experiment consisted of 40 hexagonal 1.1 m² plots, 20 with a *Pinus mugo* ssp. *uncinata* (mountain pine, evergreen) individual in the centre and 20 with a *Larix decidua* (European larch, deciduous) individual in the centre. A dense cover of understorey vegetation surrounded the tree in each plot, including the dominant dwarf shrub species *Vaccinium myrtillus* (bilberry), *Vaccinium gaultherioides* (group *V. uliginosum agg.*, northern bilberry) and *Empetrum nigrum* ssp. *hermaphroditum* (crowberry) plus several herbaceous and non-vascular species.
At the beginning of the experimental period, the 40 plots were assigned to ten groups of four neighbouring plots (two larch and two pine trees per group) in order to facilitate the logistics of CO2 distribution and regulation. Half of these groups were randomly assigned to an elevated CO2 treatment, while the remaining groups served as controls and received no additional CO2. In spring 2007, one plot of each tree species identity was randomly selected from each of the 10 CO2 treatment groups and assigned a soil warming treatment, yielding a balanced design with a replication of five individual plots for each combination of CO2 level, warming treatment and tree species.

 Data description

Soil and air conditions have been monitored closely throughout the study period, with most measurements made during the combined CO2 x warming experiment (2007-2009). The data comprise of air temperature, soil temperature, soil moisture, sapflow, tree diameter and CO2 measurements.

carbon-dioxide

display_name: carbon-dioxide

climate-change

display_name: climate-change

experiment

display_name: experiment

soil-temperature

display_name: soil-temperature

stillberg

display_name: stillberg

vegetation

display_name: vegetation

educ

en: Education, culture and sport

en: FACE: Stillberg CO2 enrichment and soil warming study


maintainer: Marco Moretti

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

en: Response and predictors used for the SEMs

en: Metadata for the predictors and response dataset

en: Metadata for the predictor and response dataset

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:
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

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: Niche partitioning between wild bees and honeybees


maintainer: EnviDat Support

en: emma stable-isotopes tracers mixing-models eemma end-member-mixing-analysis

en: vignette data

media_type: text/plain

en: A simple data set for the vignette script

format: TXT

mimetype: text/plain

en: eemma user's guide

en: A brief user's guide to EEMMA, with illustrations using a simple data set

mimetype: application/pdf

en: An R script that performs ensemble end-member mixing analysis

en: eemma vignette script

en: An R script for the vignettes (simple data analysis demonstrations) shown in the user's guide

format: OCTET

mimetype: application/octet-stream

en:
The R script eemma.R, which implements Ensemble End-Member Mixing Analysis (EEMMA) to estimate source fractions in mixtures, exploiting information contained in time-series correlations among tracer time series.

A brief user's guide, a demonstration script, and a demonstration data set are also provided, to accompany Kirchner, J.W., Mixing models with multiple, overlapping, or incomplete end-members, quantified using time series of a single tracer, Geophysical Research Letters, 2023.

The user's guide is available for public use under Creative Commons CC-BY-SA. Public use of the scripts is permitted under GNU General Public License 3 (GPL3); for details see https://www.gnu.org/licenses/

eemma

display_name: eemma

emma

display_name: emma

end-member-mixing-analysis

display_name: end-member-mixing-analysis

mixing-models

display_name: mixing-models

stable-isotopes

display_name: stable-isotopes

tracers

display_name: tracers

en: eemma.R, an R script for Ensemble End-Member Mixing Analysis


maintainer: Frank Hagedorn

en: drought forest microbial-biomass plfa c13-labeling biogeochemical-cycling

en: Gao_Frank_C13 pulse labeling.xlsx

en:
Data of manuscript by Gao t al. : Drought resistance and resilience of rhizosphere communities in forest soils from the cellular to ecosystem scale – insights from 13C pulse labeling
Inludes data on 13C pulse-labeling experiment in young beech model ecosystems and a mature pine forest. Data of soil climate, total PLFA, 13C label strength in PLFA of pulse-labeling carried out under drought and after rewetting

format: XLS

en: Data of 13C-pulselabeling experiments in a young beech model ecosystem and a mature pine forest exposed to drought and rewetting. Data include microclimate during the experiment, total PLFA contents, d13C signatures in PLFA , microbial biomass, soil-respired CO2 measure during 30 days following 3-4 hour long pulse labeling with highly 13C-enriched CO2.

biogeochemical-cycling

display_name: biogeochemical-cycling

drought

display_name: drought

forest

display_name: forest

microbial-biomass

display_name: microbial-biomass

plfa

display_name: plfa

educ

en: Education, culture and sport

en: Gao_Drought resistance and resilience of rhizosphere communities_13C-PLFA


maintainer: Giulia Mazzotti

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

en: Snow depth data forest sites

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

en: Canopy data

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

en: Grid point nomenclature

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

en: Snow depth data open sites

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

en: Coordinates data

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

en: Meteo data to drive FSM2 model

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

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

forest-snow

display_name: forest-snow

forest-structure

display_name: forest-structure

snow-distribution

display_name: snow-distribution

snow-energy-balance

display_name: snow-energy-balance

snow-modelling

display_name: snow-modelling

envidat

en: EnviDat: the Environmental Data Portal

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

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


chelsacanaryclim-climatologies

title_for_slug: chelsacanaryclim-climatologies

en: climatologies air-temperature canaries climate precipitation

en:
Precipitation
Files are provided as Cloud-Optimized GeoTIFFs (COGs) with standardized metadata.
Each COG encodes scale and offset parameters in its metadata. Standards-compliant software will apply these fields automatically and return values in the correct units; however, legacy or non-compliant applications may not. If there is any uncertainty regarding units, please consult the file metadata to verify the applied scale/offset and units.

en: CHELSACanaryClim-climatologies: Daily Maximum Near-Surface Air Temperature

en:
Daily Maximum Near-Surface Air Temperature
Files are provided as Cloud-Optimized GeoTIFFs (COGs) with standardized metadata.
Each COG encodes scale and offset parameters in its metadata. Standards-compliant software will apply these fields automatically and return values in the correct units; however, legacy or non-compliant applications may not. If there is any uncertainty regarding units, please consult the file metadata to verify the applied scale/offset and units.

en: CHELSACanaryClim-climatologies: Daily Mean Near-Surface Air Temperature

en:
Daily Mean Near-Surface Air Temperature
Files are provided as Cloud-Optimized GeoTIFFs (COGs) with standardized metadata.
Each COG encodes scale and offset parameters in its metadata. Standards-compliant software will apply these fields automatically and return values in the correct units; however, legacy or non-compliant applications may not. If there is any uncertainty regarding units, please consult the file metadata to verify the applied scale/offset and units.

en: CHELSACanaryClim-climatologies: Daily Minimum Near-Surface Air Temperature

en:
Daily Minimum Near-Surface Air Temperature
Files are provided as Cloud-Optimized GeoTIFFs (COGs) with standardized metadata.
Each COG encodes scale and offset parameters in its metadata. Standards-compliant software will apply these fields automatically and return values in the correct units; however, legacy or non-compliant applications may not. If there is any uncertainty regarding units, please consult the file metadata to verify the applied scale/offset and units.

en:
CHELSACanaryClim is a high-resolution, terrain-informed downscaling model developed specifically for the Canary Islands. It builds on the CHELSA v1.2 framework and integrates extensive local meteorological station data to refine temperature and precipitation estimates. The model incorporates high-resolution elevation data (down to 5 m), planetary boundary layer height, and ERA-Interim reanalysis inputs to simulate fine-scale climatic variation in mountainous island terrain.
CHELSACanaryClim-climatologies is a very-high resolution climate dataset generated with the CHELSACanaryClim downscaling model. It consists of monthly climatologies of air-temperatures and precipitation.

air-temperature

display_name: air-temperature

canaries

display_name: canaries

climate

display_name: climate

climatologies

display_name: climatologies

precipitation

display_name: precipitation

educ

en: Education, culture and sport

en: CHELSACanaryClim-climatologies


en: snow-depth uas snow remote-sensing swe

en: .tfw file

en: coordinates for the .tif raster

en: HS map Brämabül, 14. April 2015

media_type: image/tiff

en:
10 cm resolution
15 cm accuracy

format: TIFF

mimetype: image/tiff

en:
This snow depth map was generated 14 January 2015, close to peak of winter accumulation, applying Unmanned Aerial System digital surface models with a spatial resolution of 10 cm. The covered area is 285'000 m2 at the top of Brämabüel, 2490 m a.s.l. covering all expositions. Coordinate system: CH1903LV03.

A detailed description is given here:

Bühler, Y., Adams, M. S., Bösch, R., and Stoffel, A.: Mapping snow depth in alpine terrain with unmanned aerial systems (UASs): potential and limitations, The Cryosphere, 10, 1075-1088, 10.5194/tc-10-1075-2016, 2016.

Abstract:
Detailed information on the spatial and temporal distribution, and variability of snow depth (HS) is a crucial input for numerous applications in hydrology, climatology, ecology and avalanche research. Nowadays, snow depth distribution is usually estimated by combining point measurements from weather stations or observers in the field with spatial interpolation algorithms. However, even a dense measurement network is not able to capture the large spatial variability of snow depth in alpine terrain.
Remote sensing methods, such as laser scanning or digital photogrammetry, have recently been successfully applied to map snow depth variability at local and regional scales. However, such data acquisition is costly, if manned airplanes are involved. The effectiveness of ground-based measurements on the other hand, is often hindered by occlusions, due to the complex terrain or acute viewing angles. In this paper, we investigate the application of unmanned aerial systems (UAS), in combination with structure-from-motion photogrammetry, to map snow depth distribution. Such systems have the advantage that they are comparatively cost-effective and can be applied very flexibly to cover also otherwise inaccessible terrain. In this study we map snow depth at two different locations: a) a sheltered location at the bottom of the Flüela valley (1900 m a.s.l.) and b) an exposed location (2500 m a.s.l.) on a peak in the ski resort Jakobshorn, both in the vicinity of Davos, Switzerland. At the first test site, we monitor the ablation on three different dates. We validate the photogrammetric snow depth maps using simultaneously acquired manual snow depth measurements. The resulting snow depth values have a root mean square error (RMSE) better than 0.07 to 0.15 m on meadows and rocks and a RMSE better than 0.30 m on sections covered by bushes or tall grass. This new measurement technology opens the door for efficient, flexible, repeatable and cost effective snow depth monitoring for various applications, investigating the worlds cryosphere.

remote-sensing

display_name: remote-sensing

snow

display_name: snow

snow-depth

display_name: snow-depth

swe

display_name: swe

uas

display_name: uas

en: UAS based snow depth maps Brämabüel, Davos, CH


rorcc

maintainer: Tobias Wechsler

title_for_slug: rorcc

en: hydropower climate-change environmental-flow design-discharge run-of-river-power-plants

en: RoRCC

en:
The dataset “RoRCC” consists of simulation-based results on climate change impacts on Alpine RoR power production; it is based on 21 Swiss RoR power plants, with a total production of 5.9 TWh a-1. The dataset contains the following information:
-	metadata on the RoR power plants under consideration
-	annual and seasonal production scenarios differentiated into three emission scenarios (RCP2.6, RCP4.5, RCP8.5) and three future periods (T1: 2020–2049, T2: 2045–2074, T3: 2070–2099)
-	annual and seasonal production loss due to environmental flow requirements
-	annual and seasonal the technical increase potential (via design discharge optimisation)
-	annual and seasonal changes in the hydrological cycle for the three emission scenarios (RCP2.6, RCP4.5, RCP8.5) and three future periods (T1: 2020–2049, T2: 2045–2074, T3: 2070–2099)

en:
The dataset "RoRCC" consists of simulation-based results on climate change impacts on Alpine RoR power production; it is based on 21 Swiss RoR power plants, with a total production of 5.9 TWh a-1. The dataset contains the following information:
1) metadata on the RoR power plants under consideration, 2) annual and seasonal production potential scenarios under into three emission scenarios (RCP2.6, RCP4.5, RCP8.5) and three future periods (T1: 2020–2049, T2: 2045–2074, T3: 2070–2099), 3) annual and seasonal streamflow scenarios, 4) annual and seasonal production loss due to environmental flow requirements, 5) annual and seasonal the technical increase potential (via design discharge optimisation) and 6) annual and seasonal changes in the hydrological cycle.

climate-change

display_name: climate-change

design-discharge

display_name: design-discharge

environmental-flow

display_name: environmental-flow

hydropower

display_name: hydropower

run-of-river-power-plants

display_name: run-of-river-power-plants

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 raclets clouds ice-nucleation backward-trajectories

en: This dataset version includes revised formatting for the start and end time fields.

mimetype: text/csv

en: This dataset contains number concentrations of ice-nucleating particles active at -15 °C observed at Weissfluhjoch during February and March 2019, as well as complementary data (measured aerosol number concentrations and modelled total precipitation along air mass trajectories). This data formed the basis of our paper with the title “Towards parameterising atmospheric concentrations of ice-nucleating particles active at moderate supercooling”.

aerosol

display_name: aerosol

backward-trajectories

display_name: backward-trajectories

clouds

display_name: clouds

ice-nucleation

display_name: ice-nucleation

raclets

display_name: raclets

en: Ice nucleating particle concentrations active at -15 °C at Weissfluhjoch


maintainer: Varun Sharma

en: mesoscale-modelling alps snow-atmosphere-interaction blowing-snow antarctica

en: REPRODUCIBILITY_SIMULATION.zip contains all the extraneous files required to perform the simulations in associated manuscript (see Citations 3 in README.txt). The purpose of sharing these files apart from purposes of reproducibility is to also serve as templates for users to learn the workflow of CRYOWRF and perform simulations for their own purposes.

en:
REPRODUCIBILITY_POSTPROCESSING.zip contains data and scripts used to produce all figures from for the associated manuscript submitted for peer review ( see section on Citations below )

The folders stand for the three case studies presented in the manuscript. Two case studies (case Ia and case Ib) are on simulations in Antarctica and one case study
case II is for simulations in the Alps.

The associated data in the form of netcdf files or text files were produced using CRYOWRF v1.0

Apart from reproducibility, the intention of sharing these scripts is also to make it easy for new users to adopt CRYOWRF and be efficient, in particular in processing snowpack outputs.

The scripts were tested on multiple machines (different OSes) with the attached YAML file (wrf_analysis.yml) to setup the conda environment. All scripts were run using spyder as the IDE.

en:
This repository contains data required for reproducibility of the results to be published in the associated manuscript.

Apart from reproducibility, the attached datasets also serve as templates for new users to adopt CRYOWRF in their research.

The datasets consist of two folders organized in zip format:

1. REPRODUCIBILITY_SIMULATION:
  Consists of namelists for WPS, WRF and SNOWPACK to reproduce simulations published in the manuscript
  Additional files include datasets (from IMAU-FDM / RACMO, see "credits" below ) as well as helper python scripts to
  produce *.sno files
  which are used as initial conditions for SNOWPACK in CRYOWRF.

2. REPRODUCIBILITY_POSTPROCESSING:
   Includes outputs of CRYOWRF and python scripts used to prepare figures in the manuscript.

Each of the folders have their own readme files for more details.

 Code
citation: Varun Sharma. (2021, July 2). vsharma-next/CRYOWRF: CRYOWRF v1.0 (Version v1.0). Zenodo. http://doi.org/10.5281/zenodo.5060165

location: https://gitlabext.wsl.ch/atmospheric-models/CRYOWRF   (stable releases / institutional repo)
        https://github.com/vsharma-next/CRYOWRF            (dev branches / developer repo)

 Publication
**Introducing CRYOWRF v1.0: Multiscale atmospheric flow simulations with advanced snow cover modelling.**
Varun Sharma, Fraziska Gerber and Michael Lehning, Submitted to Geoscientific Model Development

 Acknowledgements
We thank Peter Kuipers Munneke (P.KuipersMunneke@uu.nl) for preparing and sharing outputs of IMAU-FDM and RACMO used for initial conditions for case Ia. The relevant citations for the methods through which these datasets were generated are:

* Kuipers Munneke, P., S. R. M. Ligtenberg, B. P. Y. Noël, I. M. Howat, J. E. Box, E. Mosley-Thompson, J. R. McConnell, K. Steffen, J. T. Harper, S. B. Das and M. R. van den Broeke. 2015. Elevation change of the Greenland ice sheet due to surface mass balance and firn processes, 1960-2014. The Cryosphere, 9, 2009-2025. doi:10.5194/tc-9-2009-2015

 * Ligtenberg, S. R. M., P. Kuipers Munneke, B. P. Y. Noël, and M. R. van den Broeke. 2018. Brief communication: Improved simulation of the present-day Greenland firn layer (1960-2016). The Cryosphere, 12, doi:10.5194/tc-12-1643-2018

alps

display_name: alps

antarctica

display_name: antarctica

blowing-snow

display_name: blowing-snow

mesoscale-modelling

display_name: mesoscale-modelling

snow-atmosphere-interaction

display_name: snow-atmosphere-interaction

educ

en: Education, culture and sport

en: Reproducibility Dataset for CRYOWRF v1.0


maintainer: Merin Reji Chacko

en: biodiversity-assessment biomonitoring spatial-ecology environmental-dna dna-metabarcoding

en: Analysis and Figures

en: This zipped file includes R scripts and the datasets required to run the analyses. A README describes the columns in each dataset.

en: Genomic data

en: Fastq files, primer descriptions and the final output dataset.

en: Field Metadata

en: Information concerning the locations and times of sampling, as well as the identity of the samplers and relevant comments.

en: This dataset contains the results of a five-day field excursion which the extent to which eDNA sampling can capture the diversity of a region with highly heterogeneous habitat patches across a wide elevation gradient through multiple hydrological catchments of the Swiss Alps. Using peristaltic pumps, we filtered 60 L of water at five sites per catchment for a total volume of 1 800 L. Using an eDNA metabarcoding approach focusing on vertebrates and plants, we detected 86 vertebrate taxa spanning 41 families and 263 plant taxa spanning 79 families across ten catchments. This dataset includes two sets of data. The first (Genomic data) includes all the necessary data for the bioinformatic pipeline, whereas the second (Analysis Figures) contains tidied data and scripts for the reproduction of all figures/analyses in the article describing this study.

biodiversity-assessment

display_name: biodiversity-assessment

biomonitoring

display_name: biomonitoring

dna-metabarcoding

display_name: dna-metabarcoding

environmental-dna

display_name: environmental-dna

spatial-ecology

display_name: spatial-ecology

en: Vertebrate and plant taxa recovered from 10 catchments in Vaud using an eDNA-metabarcoding approach


swiss-fluxnet-site-davos

title_for_slug: swiss-fluxnet-site-davos

en: swiss-forest-lab eddy-covariance icos meteorological-measurements greenhouse-gas flux swiss-fluxnet forest

en: Fluxnet2015 dataset

en: Processed flux and meteo data are also part of the Fluxnet2015 dataset.

en: Data access

en: The flux and meteo data of the Swiss FluxNet site Davos are openly available. Near real-time flux and meteo data are uploaded daily to the ICOS Carbon Portal.

en: Site description

en: Processed data

en: Processed flux and meteo data are available from the European Fluxes Database Cluster.

en:
The Swiss FluxNet Site Davos is a managed subalpine evergreen forest, located on the Seehorn mountain near Davos in the Swiss Alps. The site is dominated by Norway spruce. The tower is owned by the Federal Office for the Environment (FOEN).
Ecosystem flux measurements of CO2, H2O (since 1997) as well as CH4 and N2O (since 2016) are performed with the eddy covariance method.
In addition to Swiss FluxNet, the site is part of the National Air Pollution Monitoring Network (NABEL), the Long term Forest Ecosystem Research (LWF), the biological drought and growth indicator network (TreeNet) and of ICOS Switzerland (Integrated Carbon Observation System). Since November 2019, the site is an ICOS Class 1 Ecosystem station.

Measurements

- Ecosystem flux measurements of CO2, H2O vapour (since 1997) as well a CH4 and N2O (since 2016) are performed with the eddy-covariance method. This method is based on measurements of trace gas mixing ratios, using infrared gas analyzers (for CO2, H2O vapor) and laser spectrometers (for CH4 and N2O), combined with wind speed and wind direction measurements, using 3D sonic anemometers. To resolve the short-term turbulent fluctuations in the atmosphere, very fast measurements are needed: we measure at 10-20 Hz, i.e., 10-20 times per second. To assess the energy budget of each ecosystem, also radiation sensors and soil climate profiles are installed at the site.
- Sub-canopy eddy fluxes (CO2, H2O, since 2023 also CH4).
- Continuous profile concentration and forest floor flux measurement of CO2, H2O, CH4, N2O.
- Auxiliary micrometeorology and soil climate measurements.

Data availability

Near real-time flux and meteo data uploaded daily to the ICOS Carbon Portal. Processed flux and meteo data are also available from the European Fluxes Database Cluster and part of Fluxnet2015 dataset.

Data policy

ICOS data license:
[https://www.icos-cp.eu/data-services/about-data-portal/data-license](https://www.icos-cp.eu/data-services/about-data-portal/data-license)

Detailed site info:
[https://www.swissfluxnet.ethz.ch/index.php/sites/ch-dav-davos/site-info-ch-dav/](https://www.swissfluxnet.ethz.ch/index.php/sites/ch-dav-davos/site-info-ch-dav/)

eddy-covariance

display_name: eddy-covariance

flux

display_name: flux

forest

display_name: forest

greenhouse-gas

display_name: greenhouse-gas

icos

display_name: icos

meteorological-measurements

display_name: meteorological-measurements

swiss-fluxnet

display_name: swiss-fluxnet

swiss-forest-lab

display_name: swiss-forest-lab

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: Swiss FluxNet Site Davos


maintainer: Mahdi Jafari

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

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

numerical-simulation

display_name: numerical-simulation

openfoam

display_name: openfoam

snow-density-profile

display_name: snow-density-profile

vapor-transport

display_name: vapor-transport

educ

en: Education, culture and sport

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


en: database zenodo forest-fire holdover smouldering lightning-location-system

en: This database contains open, harmonized, and ready-to-use global data on holdover time. Holdover time is defined as the time between lightning-induced fire ignition and fire detection. The first version of the database is composed of three data files (censored data, non-censored data, ancillary data) and three metadata files (description of database variables, list of references, reproducible examples). These data were collected through a literature review of LIW studies and some datasets were assembled by authors of the original studies, covering more than 150,000 LIW from 13 countries in five continents and a time span of a century from 1921 to 2020. Censored data are the core of the database and consist of frequency data reporting the number or relative frequency of LIW per interval of holdover time. Ancillary data provide additional information on the methods and contexts in which the data were generated in the original studies. Potential contributors to the database are encouraged to contact the corresponding author in the readme file.

database

display_name: database

forest-fire

display_name: forest-fire

holdover

display_name: holdover

lightning-location-system

display_name: lightning-location-system

smouldering

display_name: smouldering

zenodo

display_name: zenodo

en: Database on holdover time of lightning-ignited wildfires