de: Datenstruktur auf Deutsch

de: Gestorbene bei Jahr, Geschlecht, Altersklasse und Wohngemeinde

en: Deaths by Year, Sex, Age group and Municipality of residence

births-deaths

display_name: births-deaths

geburten-todesfalle

display_name: geburten-todesfalle

soci

en: Population and society

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: Gestorbene nach Geschlecht, Altersklasse und Wohngemeinde seit 1999

en: Deaths by sex, age group and municipality of residence since 1999


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: Datenstruktur auf Englisch

en: Data structure in English

de: Datenwürfel auf Deutsch

en: Data cube in German

de: Ausgaben Staat nach 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

amt-fuer-statistik-fl

de: Amt für Statistik

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.

political_level: other

liechtenstein

capacity: public

type: organization

approval_status: approved

key: guid

key: uri

value: DCAT Harvester Amt für Statistik FL

de: Ausgaben Staat nach Funktion und Art seit 2011

en: Government expenditure by function and kind since 2011


de: Abschlüsse von Studierenden aus Liechtenstein an Fachhochschulen nach Jahr, Studienland, Fachbereich, Geschlecht und Examensstufe

en: Graduates from Liechtenstein at universities of applied sciences by Year, Country of study, Field 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

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

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


de: Stromproduktion mit Wasserkraft nach Jahr und Kraftwerk

en: Electricity production from hydropower by Year and Power station

energie

display_name: energie

energy

display_name: energy

ener

fr: Énergie

de: Energie

en: Energy

it: Energia

de: Stromproduktion mit Wasserkraft nach Kraftwerk seit 1990

en: Electricity production from hydropower by power station since 1990


de: Datenstruktur auf Deutsch

de: Lebendgeborene bei Jahr, Staatsbürgerschaft der Mutter und Staatsbürgerschaft des Vaters

en: Live births by Year, Mother's citizenship and Father's citizenship

soci

fr: Population et société

de: Bevölkerung und Gesellschaft

en: Population and society

it: Popolazione e società

de: Lebendgeborene nach Staatsbürgerschaft der Mutter und des Vaters seit 1999

en: Live births by mothers and fathers citizenship since 1999


de: Datenwürfel auf Englisch

en: Data cube in English

de: Datenstruktur auf Englisch

de: Abschlüsse an Universitäten in Liechtenstein nach Examensstufe, Fächergruppe, Ausbildungsstätte und Geschlecht seit 2019

en: Graduates at universities in Liechtenstein by Year, Educational institution, Fields of study, Sex and Level of graduation

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.

en: Graduates at universities in Liechtenstein by level of graduation, fields of study, educational institution and sex since 2019


de: Datenwürfel auf Deutsch

en: Data cube in German

en: Data structure in German

en: Data structure in English

de: Erwerbstätige ständige Bevölkerung nach Jahr, Wirtschaftszweig, Geschlecht, Arbeitsland und Heimat

en: Permanent resident population in gainful employment by Year, Economic activity, Sex, Country of work and Citizenship

erwerbstatigkeit

display_name: erwerbstatigkeit

population-in-gainful-employment

display_name: population-in-gainful-employment

econ

fr: Économie et finances

de: Wirtschaft und Finanzen

en: Economy and finance

it: Economia e finanze

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

en: Permanent resident population in gainful employment by economic activity, sex, country of work and citizenship since 2006


de: Abschlüsse an der Liechtensteinischen Berufsmaturitätsschule nach Jahr, Schwerpunkt, Geschlecht und Wohnland

en: Graduates at vocational baccalaureate school by Year, Focus, Sex and Country of residence

further-education

display_name: further-education

weiterbildung

display_name: weiterbildung

educ

en: Education, culture and sport

amt-fuer-statistik-fl

de: Amt für Statistik

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: Abschlüsse an der Liechtensteinischen Berufsmaturitätsschule nach Schwerpunkt, Geschlecht und Wohnland seit 2015

en: Graduates at vocational baccalaureate school Liechtenstein by focus, sex and country of residence since 2015


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

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

bevolkerungsszenarien

display_name: bevolkerungsszenarien

population-scenarios

display_name: population-scenarios

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

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


de: Datenstruktur auf Deutsch

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

educ

de: Bildung, Kultur und Sport

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


gebaude-nach-eigentumertyp-und-gemeinde

title_for_slug: gebaude-nach-eigentumertyp-und-gemeinde

de: Datenwürfel auf Englisch

en: Data cube in English

de: Gebäude nach Stichtag, Eigentümertyp und Gemeinde

en: Buildings by Reference date, Type of owner and Municipality

buildings-dwellings

display_name: buildings-dwellings

gebaude-wohnungen

display_name: gebaude-wohnungen

soci

de: Bevölkerung und Gesellschaft

en: Population and society

de: Gebäude nach Eigentümertyp und Gemeinde

en: Buildings by type of owner and municipality


de: Datenstruktur auf Englisch

de: Datenwürfel auf Deutsch

en: Data cube in German

en: Data structure in German

de: Motorräderbestand nach Stichtag, Fahrzeugart, Karosserie, Marke, Leistungsklasse und Altersklasse (Jahre)

en: Licensed motorcycles by Reference date, Type of vehicle, Type of body, Make, Engine power class and Age category (years)

fahrzeugbestand

display_name: fahrzeugbestand

licensed-vehicles

display_name: licensed-vehicles

tran

fr: Transports

de: Verkehr

en: Transport

it: Trasporti

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: Motorräderbestand nach Fahrzeugart, Karosserie, Marke, Leistungsklasse und Altersklasse seit 2015

en: Licensed motorcycles by type of vehicle, type of body, make, engine power class and age category since 2015


en: Data structure in English

de: Erstzugelassene Personenwagen nach 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

fahrzeug-erstzulassungen

display_name: fahrzeug-erstzulassungen

mobility-and-transport

display_name: mobility-and-transport

de: Amt für Statistik

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: 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 Deutsch

de: Steuerpflichtige Personen bei Jahr, Altersklasse, Vermögen und Vermögensklasse

en: Taxable persons by Yea,  Age group, Wealth and Wealth category

vermogens--und-einkommensverteilung

display_name: vermogens--und-einkommensverteilung

wealth-and-income-distribution

display_name: wealth-and-income-distribution

amt-fuer-statistik-fl

en: Office of Statistics

de: Steuerpflichtige Personen nach Vermögens- und Altersklasse seit 2020

en: Taxable persons by wealth and age group since 2020


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

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: Motorfahrzeugbestand nach Stichtag, Fahrzeuggruppe, Treibstoffart und Gemeinde

de: Motorfahrzeugbestand nach Fahrzeuggruppe, Treibstoffart und Gemeinde seit 2013


de: Vieh- und Geflügelbestände in Grossvieheinheiten (GVE) nach Jahr, Tierkategorie und Zone | Region

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

en: Economy and finance

de: Vieh- und Geflügelbestände in Grossvieheinheiten (GVE) nach Tierkategorie, Zone und Region seit 2005


de: Datenwürfel auf Deutsch

en: Data cube in German

de: Datenwürfel auf Englisch

en: Data cube in English

de: Datenstruktur auf Englisch

de: Fahrzeugbestand nach Stichtag, Fahrzeuggruppe/-art und Erstinverkehrsetzungsjahr sowie Durchschnittsalter der Fahrzeuge

en: Licensed vehicles by Reference date, Vehicle group/ type and First registration and average age of vehicles

tran

de: Verkehr

de: Fahrzeugbestand nach Fahrzeuggruppe/-art, Erstinverkehrsetzungsjahr sowie Durchschnittsalter der Fahrzeuge seit 2013

en: Licensed vehicles by vehicle group/ type, year of first registration as well as average age of vehicles since 2013


de: Datenstruktur auf Deutsch

en: Data structure in German

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

en: Intramural expenditure on R+D by Year, Type of funding and Sector

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

en: Intramural expenditure on R+D by type of funding and sector since 2019


en: Data structure in English

de: Einzelbasis - Nachrangige Bilanzpositionen nach Jahr, Nachrangige Bilanzposition und Domizil

en: Individual basis - Subordinated balance sheet items by Year, Subordinated balance sheet item and Domicile

banken

display_name: banken

banking-institutions

display_name: banking-institutions

de: Einzelbasis - Nachrangige Bilanzpositionen nach Domizil seit 2017

en: Individual basis - Subordinated balance sheet items by domicile since 2017


de: Kontensystem der gesamten Volkswirtschaft zu laufenden Preisen seit 2013 bei Jahr, Transaktion und Konto

en: Sequence of national accounts at current prices since 2013 by Year, Transaction and Account

national-accounts

display_name: national-accounts

volkswirtschaftliche-gesamtrechnungen

display_name: volkswirtschaftliche-gesamtrechnungen

amt-fuer-statistik-fl

en: Office of Statistics


de: Bauprojekte nach 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

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: Berufsunfallversicherung: Verteilung der Lohnsumme, Unfälle und Leistungen in % nach Jahr, Geschlecht (Anteil in %), Versicherungszweig (Anteil in %) und Kennwerte der Risikodaten (Anteil in %)

accident-insurers

display_name: accident-insurers

unfallversicherer

display_name: unfallversicherer

heal

fr: Santé

de: Gesundheit

en: Health

it: Salute

econ

de: Wirtschaft und Finanzen

de: Berufsunfallversicherung: Verteilung der Lohnsumme, Unfälle und Leistungen in Prozent nach Versicherungszweig und Geschlecht seit 2005


de: Datenstruktur auf Englisch

de: Datenwürfel auf Englisch

de: Datenwürfel auf Deutsch

de: Erstzugelassene Personenwagen nach 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

tran

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

en: Data cube in English

de: Datenstruktur auf Deutsch

de: Alle Versicherungsarten - Reserven der Versicherer in CHF nach Jahr und Versicherungsart

en: All types of insurance - Reserve assets of insurance companies in CHF by Year and Type of insurance

health-insurers

display_name: health-insurers

krankenversicherer

display_name: krankenversicherer

econ

en: Economy and finance

amt-fuer-statistik-fl

de: Amt für Statistik

de: Alle Versicherungsarten - Reserven der Versicherer in CHF nach Versicherungsart seit 2004

en: All types of insurances - Reserve assets of insurances in CHF by type of insurance since 2004


en: Data structure in German

de: Lebendgeborene bei Jahr und Zivilstand der Mutter

en: Live births by Year and Mother's marital status

births-deaths

display_name: births-deaths

geburten-todesfalle

display_name: geburten-todesfalle

soci

de: Bevölkerung und Gesellschaft

en: Population and society

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: Lebendgeborene nach Zivilstand der Mutter seit 1999

en: Live births by mother’s marital status since 1999


en: Data structure in English

de: Erstzugelassene Personentransportfahrzeuge nach Jahr, Karosserie, Fahrzeugart nach EU und Anzahl Sitzplätze

en: Passenger vehicles registered for the first time by Year, Type of body, Type of vehicle as per EU and Number of seats

fahrzeug-erstzulassungen

display_name: fahrzeug-erstzulassungen

mobility-and-transport

display_name: mobility-and-transport

tran

de: Verkehr

amt-fuer-statistik-fl

en: Office of Statistics

de: Erstzugelassene Personentransportfahrzeuge nach Karosserie, Fahrzeugart nach EU und Anzahl Sitzplätze

en: Passenger vehicles registered for the first time by type of body, type of vehicle as per EU and number of seats


de: Privathaushalte bei Jahr, Haushaltsgrösse, Einkommen und Einkommensklasse

en: Private households by Year, Household size, Income and Income category

vermogens--und-einkommensverteilung

display_name: vermogens--und-einkommensverteilung

wealth-and-income-distribution

display_name: wealth-and-income-distribution

de: Privathaushalte nach Einkommensklasse und Haushaltsgrösse seit 2020

en: Private households by Income category and household size since 2020


de: Datenwürfel auf Englisch

de: Datenstruktur auf Englisch

de: Konsolidiert - Konsolidierte Bilanzdaten nach Jahr und Bilanzposition

en: Consolidated - Consolidated balance sheet data by Year and Balance sheet item

econ

de: Wirtschaft und Finanzen

de: Konsolidiert - Konsolidierte Bilanzdaten seit 2017

en: Consolidated - Consolidated balance sheet data since 2017


de: Datenwürfel auf Deutsch

en: Data cube in German

de: Datenstruktur auf Deutsch

en: Data cube in English

de: Erstzugelassene Personenwagen nach Jahr, Marke, Hubraumklasse und Leistungsklasse

en: Passenger cars registered for the first time by Year, Make, Engine capacity class and Engine power class

tran

en: Transport

de: Erstzugelassene Personenwagen nach Marke, Hubraumklasse und Leistungsklasse

en: Passenger cars registered for the first time by make, engine capacity class and engine power class


en: Data structure in German

de: Beschäftigte nach Jahr, Voll-/ Teilzeit, Wirtschaftszweig, Arbeitsgemeinde und Geschlecht

en: Persons employed by Year, Part-/ full-time, Economic activity, Municipality of work and Sex

beschaftigung

display_name: beschaftigung

employment

display_name: employment

econ

en: Economy and finance

amt-fuer-statistik-fl

de: Amt für Statistik

de: Beschäftigte nach Voll-/ Teilzeit, Wirtschaftszweig, Arbeitsgemeinde und Geschlecht seit 1980

en: Persons employed by part-/ full-time, economic activity, municipality of work and sex since 1980


en: Data structure in English

de: Wahlbeteiligung bei Vorsteherwahlen nach Jahr, Gemeinde, Wahlgang, Kennzahl und Gruppe

en: Voter turnout in mayoral elections by Year, Municipality, Ballot, 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

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: Wahlbeteiligung bei Vorsteherwahlen nach Gemeinde, Wahlgang, Gruppe und Kennzahl seit 2019

en: Voter turnout in mayoral elections by municipality, ballot, group and key figure since 2019


de: Erwerbstätige ständige Bevölkerung nach Jahr, Wirtschaftszweig, Heimat, Stellung im Beruf und Geschlecht

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

erwerbstatigkeit

display_name: erwerbstatigkeit

population-in-gainful-employment

display_name: population-in-gainful-employment

amt-fuer-statistik-fl

en: Office of Statistics

de: Erwerbstätige ständige Bevölkerung nach Wirtschaftszweig, Heimat, Stellung im Beruf und Geschlecht seit 2006

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


de: Datenstruktur auf Englisch

en: Data cube in German

de: Datenwürfel auf Englisch

de: Indikatoren der Fruchtbarkeit bei Jahr und Kennzahl

en: Fertility Indicators by Year and Key figure

soci

de: Bevölkerung und Gesellschaft

en: Population and society

de: Indikatoren der Fruchtbarkeit seit 1999

en: Fertility Indicators since 1999


de: Datenwürfel auf Deutsch

de: Datenstruktur auf Deutsch

en: Data cube in English

de: Wohnungen nach Jahr, Bauperiode, Nutzungsart und Zimmerzahl

en: Dwellings by Year, Period of construction, Purpose of use and Number of rooms

buildings-dwellings

display_name: buildings-dwellings

gebaude-wohnungen

display_name: gebaude-wohnungen

de: Wohnungen nach Bauperiode, Nutzungsart und Zimmerzahl seit 2015

en: Dwellings by period of construction, purpose of use and number of rooms since 2015


en: Data structure in German

de: Familienhaushalte mit ledigen Kindern unter 18 Jahren nach Stichtag, Familientyp, Anzahl Kinder, Haushaltsgrösse und Gemeinde

en: Family households with unmarried child(ren) younger than 18 years by Reference date, Type of family, Number of children, Size of household and Municipality

haushalte-familien

display_name: haushalte-familien

households-families

display_name: households-families

amt-fuer-statistik-fl

de: Amt für Statistik

de: Familienhaushalte mit ledigen Kindern unter 18 Jahren nach Familientyp, Anzahl Kinder, Haushaltsgrösse und Gemeinde

en: Family households with unmarried child(ren) younger than 18 years by type of family, number of children, size of household and municipality


en: Data structure in English

de: Ständige Bevölkerung nach Stichtag, Haushaltstyp, Lebensalter, Geschlecht und Gemeinde

en: Permanent resident population by Reference date, Type of household, Age, Sex and Municipality

bevolkerungsstruktur

display_name: bevolkerungsstruktur

population-structure

display_name: population-structure

de: Ständige Bevölkerung nach Haushaltstyp, Lebensalter, Geschlecht und Gemeinde

en: Permanent resident population by type of household, age, sex and municipality


de: Arbeitslose zuzüglich Personen mit Zwischenverdienst nach Jahr, Kategorie und Monat

en: Unemployed persons and persons with temporary earnings by Year, Category and Month

arbeitslosigkeit

display_name: arbeitslosigkeit

unemployment

display_name: unemployment

econ

de: Wirtschaft und Finanzen

en: Economy and finance

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: 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: Arbeitslose zuzüglich Personen mit Zwischenverdienst nach Bestand, Zu- und Abgänge und Monat seit 1990

en: Unemployed persons and persons with temporary earnings by stock, persons incoming and persons outgoing and month since 1990


en: Data cube in German

de: Lernende in Liechtenstein an Berufsmaturitätsschulen nach Jahr, Bildungsfeld, Geschlecht und Wohnland

duale-ausbildung

display_name: duale-ausbildung

educ

de: Bildung, Kultur und Sport

en: Education, culture and sport

en: Office of Statistics

de: Lernende in Liechtenstein an Berufsmaturitätsschulen nach Bildungsfeld, Wohnland und Geschlecht seit 2014/2015


de: Datenwürfel auf Englisch

de: Datenstruktur auf Englisch

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

state-and-politics---copy

display_name: state-and-politics---copy

umweltabgaben

display_name: umweltabgaben

envi

fr: Environnement

de: Umwelt

en: Environment

it: Ambiente

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: Datenwürfel auf Deutsch

de: Datenstruktur auf Deutsch

de: 463.007 Rentenzahlungen bei Jahr, Versicherungszweig, Rentenart und Rententeil

accident-insurers

display_name: accident-insurers

unfallversicherer

display_name: unfallversicherer

heal

de: Gesundheit

en: Health

de: 463.007 Rentenzahlungen nach Versicherungszweig, Rentenart und Rententeil seit 2005


en: Data cube in English

en: Data structure in German

de: Einzelbasis - Forderungen gegenüber Kunden und Hypothekarforderungen nach Jahr, Bilanzposition und Deckungsart

en: Individual basis - Claims against clients and mortgage loans by Year, Balance sheet item and Type of collateral

banken

display_name: banken

banking-institutions

display_name: banking-institutions

amt-fuer-statistik-fl

de: Amt für Statistik

de: Einzelbasis - Forderungen gegenüber Kunden und Hypothekarforderungen nach Deckungsart seit 2017

en: Individual basis - Claims against clients and mortgage loans by type of collateral since 2017


en: Data structure in English

de: Arbeitsstätten nach Jahr, Wirtschaftszweig und Arbeitsgemeinde

en: Place of work by Year, Economic activity and Municipality of work

enterprises-jobs

display_name: enterprises-jobs

unternehmen-arbeitsplatze

display_name: unternehmen-arbeitsplatze

econ

de: Wirtschaft und Finanzen

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: Arbeitsstätten nach Wirtschaftszweig und Arbeitsgemeinde seit 2008

en: Place of work by economic activity and municipality of work since 2008


de: Datenwürfel auf Englisch

de: Ständige Bevölkerung nach Stichtag, Jahr der Ankunft, Wohnland bei Geburt, Heimat, Geschlecht und Gemeinde

en: Permanent resident population by Reference date, Year of arrival, Country of birth, Citizenship, Sex and Municipality

soci

de: Bevölkerung und Gesellschaft

en: Population and society

de: Ständige Bevölkerung nach Jahr der Ankunft, Wohnland bei Geburt, Heimat, Geschlecht und Gemeinde

en: Permanent resident population by year of arrival, country of birth, citizenship, sex and municipality


de: Datenstruktur auf Englisch

en: Data cube in German

de: Lebendgeborene bei Jahr, Geburtsland und Wohngemeinde der Mutter

en: Live births by Year, Country of birth and Municipality of residence

births-deaths

display_name: births-deaths

geburten-todesfalle

display_name: geburten-todesfalle

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: Lebendgeborene nach Geburtsland und Wohngemeinde der Mutter seit 1999

en: Live births by country of birth and mothers municipality of residence since 1999


de: Datenstruktur auf Deutsch

de: Datenwürfel auf Deutsch

de: Abfallaufkommen bei Jahr, Abfallkategorie und Kennzahl

en: Generation of waste by Year, Waste category and Key figure

abfall

display_name: abfall

envi

de: Umwelt

en: Environment

en: Office of Statistics

de: Abfallaufkommen nach Abfallkategorie und Kennzahl seit 1972

en: Generation of waste by waste category and key figure since 1972


en: Data structure in German

en: Data cube in English

de: Kennzahlen der Landtagswahlen nach Jahr, Kennzahl und Wahlkreis

en: Key figures on parliamentary elections by Year, Key figure and Constituency

elections-referendums

display_name: elections-referendums

wahlen-abstimmungen

display_name: wahlen-abstimmungen

gove

de: Regierung und öffentlicher Sektor

en: Government and public sector

amt-fuer-statistik-fl

de: Amt für Statistik

de: Kennzahlen der Landtagswahlen nach Wahlkreis seit 1945

en: Key figures on parliamentary elections by constituency since 1945


en: Data structure in English

de: Alle Beherbergungsarten nach Jahr, Kennzahl, Herkunftsland und Monat

en: All types of accommodation by Year, Key figure, Country of residence and Month

tourism

display_name: tourism

tourismus

display_name: tourismus

econ

de: Wirtschaft und Finanzen

en: Economy and finance

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: Alle Beherbergungsarten - Gästeankünfte, Logiernächte und Aufenthaltsdauer nach Herkunftsland und Monat seit 2012

en: All types of accommodation - Arrivals, nights spent and length of stay by country of residence and month since 2012


de: Datenwürfel auf Englisch

en: Data cube in German

de: Einzelbasis - Bilanz (Aktiven) nach Jahr, Aktiven und Domizil

en: Individual basis - Balance sheet (assets) by Year, Assets and Domicile

de: Einzelbasis - Bilanz (Aktiven) nach Domizil seit 2017

en: Individual basis - Balance sheet (assets) by domicile since 2017


de: Datenstruktur auf Englisch

de: Externe F+E-Aufwendungen bei Jahr, Sitz des Empfängers und Sektor

en: Extramural expenditure on R+D by Year, Country of recipient and Setor

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: Externe F+E-Aufwendungen nach Sitz des Empfängers und Sektor seit 2019

en: Extramural expenditure on R+D by type of recipient and sector since 2019


de: Datenstruktur auf Deutsch

de: Datenwürfel auf Deutsch

de: Erwerbstätige ständige Bevölkerung nach 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

en: Office of Statistics

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


en: Data structure in German

en: Data cube in English

de: Beschäftigte nach Jahr, Voll-/ Teilzeit, Wohnland, Staatsbürgerschaft und Geschlecht

en: Persons employed by Year, Part-/ full-time, Country of residence, Citizenship and Sex

beschaftigung

display_name: beschaftigung

employment

display_name: employment

amt-fuer-statistik-fl

de: Amt für Statistik

de: Beschäftigte nach Voll-/ Teilzeit, Wohnland, Staatsbürgerschaft und Geschlecht seit 2008

en: Persons employed by part-/ full-time, country of residence, citizenship and sex since 2008


en: Data structure in English

de: Sachentransportfahrzeugbestand nach Stichtag, Fahrzeugart, Marke, Anzahl Achsen und Altersklasse (Jahre)

en: Licensed goods vehicles by Reference date, Type of vehicle, Make, Number of axles and Age category (years)

fahrzeugbestand

display_name: fahrzeugbestand

licensed-vehicles

display_name: licensed-vehicles

tran

de: Verkehr

en: Transport

de: Sachentransportfahrzeugbestand nach Fahrzeugart, Marke, Anzahl Achsen und Altersklasse seit 2015

en: Licensed goods vehicles by type of vehicle, make, number of axles and age category since 2015


de: Datenwürfel auf Englisch

en: Data cube in German

de: Luftschadstoffemissionen bei Jahr und Schadstoff

en: Air pollutant emissions by Year and Air pollutant

luft-klima

display_name: luft-klima

state-and-politics---copy

display_name: state-and-politics---copy

envi

de: Umwelt

en: Environment

amt-fuer-statistik-fl

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: Luftschadstoffemissionen nach Schadstoff seit 1985

en: Air pollutant emissions by air pollutant since 1985


de: Datenstruktur auf Englisch

de: Durchschnittlicher Bruttomietpreis nach Stichtag, Wohnungsfläche und Gemeinde

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

mietpreise

display_name: mietpreise

rental-prices

display_name: rental-prices

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: Durchschnittlicher Bruttomietpreis nach Wohnungsfläche und Gemeinde

en: Average gross rent by useful floor space and municipality


de: Datenstruktur auf Deutsch

de: Datenwürfel auf Deutsch

de: Ständige Bevölkerung ab 15 Jahren nach Stichtag, Höchste abgeschlossene Ausbildung, Heimat, Geschlecht und Fünfjahresklassen

en: Permanent resident population aged 15 years and over by Reference date, Educational attainment, Citizenship, Sex and Age group

bildungsstand

display_name: bildungsstand

educational-attainment

display_name: educational-attainment

educ

de: Bildung, Kultur und Sport

en: Education, culture and sport

amt-fuer-statistik-fl

en: Office of Statistics

de: Ständige Bevölkerung ab 15 Jahren nach höchster abgeschlossener Ausbildung, Heimat, Geschlecht und Fünfjahresklassen

en: Permanent resident population aged 15 years and over by educational attainment, citizenship, sex and age group


en: Data cube in English

en: Data structure in German

de: Erstzugelassene Personenwagen bei Jahr, Treibstoffart, Treibstoffart (detailliert) und Monat

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

fahrzeug-erstzulassungen

display_name: fahrzeug-erstzulassungen

mobility-and-transport

display_name: mobility-and-transport

de: Amt für Statistik

de: Erstzugelassene Personenwagen nach Treibstoffart, Treibstoffart (detailliert) und Monat

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


en: Data structure in English

de: Datenwürfel auf Englisch

de: Erstzugelassene Personenwagen nach Jahr, Leistungsklasse, Treibstoffart und CO2-Emissionsklasse

en: Passernger cars registered for the first time by Year, Engine power class, Type of fuel and CO2 emission class

tran

de: Verkehr

en: Transport

de: Erstzugelassene Personenwagen nach Leistungsklasse, Treibstoffart, CO2-Emissionsklasse sowie mittlere CO2-Emission

en: Passenger cars registered for the first time by engine power class, type of fuel, CO2 emission class as well as average CO2 emission


en: Data cube in German

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

envi

de: Umwelt

en: Environment

amt-fuer-statistik-fl

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


maintainer: EnviDat Support

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

media_type: text/plain

format: TXT

en:
Total water reserves of the snow cover [mio m3] for Wägital catchment, Switzerland, for reference date April 1. Data is separated in 2 elevation zones 900m-1500m asl and 1500m-2300m asl. Time period 1943-2024, status 2024-04-22.

Funded currently or in the past by:

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

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

gcos

display_name: gcos

meteodat-gmbh

display_name: meteodat-gmbh

snow

display_name: snow

snow-water-equivalent

display_name: snow-water-equivalent

wagital

display_name: wagital

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


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

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


en: avalanche-fatalities avalanche-accident-statistics number-of-caught-persons number-of-dead-persons avalanche-accidents

en: Fatal avalanche accidents in Switzerland since 1995-1996

media_type: text/csv

format: CSV

mimetype: text/csv

en:
Attention: this data is not updated after 2022 anymore.
This data collection contains information concerning all accidents by snow avalanches causing at least one fatality in Switzerland. The data set commences on 01/10/1995. After the completion of a hydrological year, the new data is added.
The following information is provided:
 * avalanche identifier
 * date of the accident
 * accuracy of the date in range of days before and after
 * canton
 * name of the locality
 * start zone of the avalanche
  * coordinates (Swiss coordinate system, approximately in middle of start zone)
  * accuracy of the coordinates in meters
 * elevation (in meteres above sea level, app. in middle of start zone)
 * slope aspect (main orientation of start zone)
 * slope inclination (in degree, steepest point within start zone)
 * number of dead persons
 * number of caught persons
 * number of fully buried persons
 * forecasted avalanche danger level
 * activity/location of the accident party at the time of the incident

avalanche-accident-statistics

display_name: avalanche-accident-statistics

avalanche-accidents

display_name: avalanche-accidents

avalanche-fatalities

display_name: avalanche-fatalities

number-of-caught-persons

display_name: number-of-caught-persons

number-of-dead-persons

display_name: number-of-dead-persons


en: richness cities performance-traits natural-enemies cavity-nesting wasps hymenoptera life-history-traits urban-ecology urbanization hymennoptera bees

en: Taxonomic metrics on the natural enemies

en: It contains the species richness and the abundance of natural enemies per site.

en: Taxonomic metrics on CNBW

en:
The data contains at the site level the species richness of cavity-nesting bees and wasps. It also contains site level estimates of the life-history traits and the performance traits.

We calculated species richness, abundance, and number of nests of the hatched hosts separately for bees and wasps. We calculated the abundance of hatched hosts as the number of brood cells where an individual emerged, i.e. the total number of brood cells minus the number of parasitized cells and the number of cells with no emergence for reasons other than parasitism.

City codes: An =Antwerp, Pa = Paris; Po = Poznan; Ta =Tartu; Zu= Zurich

format: SERVICE

en: Information on the study sites

en: For each site, the IDs, city, coordinates, structure where the trapnest was attached and height is provided

en: Predictors of the study

en: Performance traits and life-history traits

en:
It contains the data of two performance traits (survival and parasitism) and two life-history traits (sex ratio and number of offspring per nest for the hosts) at the nest level.

We assessed performance traits, i.e. survival and parasitism, at the individual cell level. Specifically, for each cell within a nest, we noted whether the cell was alive or dead (survival), and whether it had a parasite or not (parasitism). Further, we calculated the parasitism rate as the number of cells with a parasite divided by the total number of cells. Concerning life-history traits, we calculated the total number of brood cells per nest as the total number of brood cells within a single nest, regardless of whether the larvae were dead, alive or parasitized. Finally, we used the probability that a femalehost emerged from a given cell as a proxy for the sex ratio. To do so, we first identified the sex of the individual hosts. Then, we noted it in a binary way to indicate whether the host was a female or not. We could identify the sex of all hatched hosts. Further, because CNBW first lay females and then males, on some occasions we could also identify the host sex in dead and parasitized cells, that is, when we had already identified the sex of the preceding and the following cells.

en:
 Background
Urban ecosystems are associated with socio-ecological conditions that can filter and promote taxa. However, the strength of the effect of ecological filtering on biodiversity could vary among biotic and abiotic factors. Here, we provide the data used to investigate the effects of habitat amount, temperature, and host-enemy biotic interactions in shaping communities of cavity-nesting bees and wasps (CNBW) and their natural enemies. To do so, we installed trap-nests in 80 sites distributed along urban intensity gradients in 5 European cities (Antwerp, Paris, Poznan, Tartu and Zurich). We quantified the species richness and abundance of CNBW hosts and their natural enemies, as well as two performance traits (survival and parasitism) and two life-history traits (sex ratio and number of offspring per nest for the hosts).
The dataset contains:
* The taxonomic metrics on CNBW
* The taxonomic metrics on the natural enemies from CNBW
* The life-history traits and performance traits

bees

display_name: bees

cavity-nesting

display_name: cavity-nesting

cities

display_name: cities

hymennoptera

display_name: hymennoptera

hymenoptera

display_name: hymenoptera

life-history-traits

display_name: life-history-traits

natural-enemies

display_name: natural-enemies

performance-traits

display_name: performance-traits

richness

display_name: richness

urban-ecology

display_name: urban-ecology

urbanization

display_name: urbanization

wasps

display_name: wasps

en: Community structure, life-history traits and performance traits of urban cavity-nesting bees annd wasps


maintainer: Matthias Haeni

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

en: Data plot of the forest station (ISB)

media_type: application/pdf

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

format: PDF

mimetype: application/pdf

en: Data plot of the field station (ISF)

en: Site aerial photo (Isone)

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

mimetype: image/jpeg

en: Site photo of the forest station (ISB)

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

en: Forest station data (ISB)

en: Data file.

en: Site photo of the field station (ISF)

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

en: Field station data (ISF)

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 Isone in Switzerland where one station is located within a natural broad-leaved forest stand (ISB) with European beech (_Fagus sylvatica_; 70-100 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, ISF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Isone 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

educ

en: Education, culture and sport

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


backward-trajectories

maintainer: Michael Sprenger

title_for_slug: backward-trajectories

en: atmospheric-dynamics complex-topopgraphy cosmo alps backward-trajectories raclets lagrangian-analysis

en: Backward Trajectories

media_type: application/zip

en: The trajectories are started from surface up to 5000 m altitude, with an equidistant vertical spacing of 200 m, and calculated 120 h backward in time. As long as the trajectories stay in the COSMO1 domain (essentially the Alpine region), as run operationally at MeteoSwiss, the COSMO analysis wind fields are used. When the trajectories leave this domain, they are extended further backward in time based on ECMWF analysis data. The following fields are traced along the trajectories: longitude, latitude, geopotential height, pressure, specific humidity, temperature and surface topography. Furthermore, it is indicated for each trajectory time instance on which model data, COSMO or ECMWF, the trajectory time is based. Finally, the trajectories are started every hour in the specified time period, and positions and fields are available every 10 min. Each day is saved as a separate file. The last 8 digits of the file names indicate the starting date of the trajectories.

format: ZIP

mimetype: application/zip

en: Backward trajectories were calculated from two positions: Davos Wolfgang (LON: 9.85361, LAT: 46.83551) and Weissfluhjoch (LON: 9.80646 LAT: 46.83304) for the time period February 2 until March 27 2019 using COSMO or ECMWF, respectively.

alps

display_name: alps

atmospheric-dynamics

display_name: atmospheric-dynamics

backward-trajectories

display_name: backward-trajectories

complex-topopgraphy

display_name: complex-topopgraphy

cosmo

display_name: cosmo

lagrangian-analysis

display_name: lagrangian-analysis

raclets

display_name: raclets

en: Backward  Trajectories


en: ice antarctica arctic sea-salt-aerosol snow

en: Read Me

en: Description of the data tables

en: Code

en: Matlab code to read and plot the data

en: Fig 1A

en: Data Figure 1A

mimetype: text/plain

en: Fig 1F_1

en: Individual data to mean shown in Figure 1F

en: Fib 1B_3

en: Individual data to mean shown in Figure 1B

en: Fig 1B_1

en: Fig 1C

en: Data to Figure 1C

en: Fig 1B

en: Data in Figure 1B

en: Fig 1F_2

en: Fig 1D

en: Data to Figure 1D

en: Fig 1E

en: Data to Figure 1E

en: Fig 1F

en: Data to Figure 1F

en: Fig 1B_2

en: This table lists all NEXAFS data files in chronological order with PE carbon to oxygen signal intensity ratios -from which the atomic ratio were calculated in the paper - before ("preCtoO") and after ("postCtoO") each NEXAFS measurement. Also listed is the change in Na ("lossSodi"), O ("lossOxy"), Cl ("lossChlor"), and C ("lossCarb") signal intensity after the NEXAFS measurement compared to prior to the NEXAFS measurement.

en: This table lists all data files in chronological order. "SampleTemp" refers to the reading of the PT-1000 at the side of the sample holder. "cellPressure" is the water vapour pressure during the measurements. From this, in presence of ice, the temperature of the ice sample can be calculated which is given in the column "iceTemp". "dT" is the difference, or temperature offset, between sensor's reading and the ice samples temperature. The offset is due to the sensor being mounted away from the cooled spot of the sample were it experiences heating from warmer parts of the sample holder. The off-set is used to calibrate the temperature sensor and the resulting temperature during the experiments is given in the column "temperature". "relHum" is the relative humidity above (supercooled) liquid and "concBrine" is the concentration of a NaCl solution in mol/l in equilibrium with ice at the experimental temperature. "Area" is the integrated PE signal.

en: Laboratory experiments are presented on the phase change at the surface of sodium chloride – water mixtures at temperatures between 259 K and 240 K. High selectivity to the upper few nanometres of the frozen solution – air interface is achieved by using electron yield near-edge X-ray absorption fine structure (NEXAFS) spectroscopy. We present the NEXAFS spectrum of the hydrohalite.

en: Data set on interfacial supercooling and the precipitation of hydrohalite in frozen NaCl solutions by X-ray absorption spectroscopy


en: speed2zero wasserkraft datensatz schweiz kleinstwasserkraftwerke

en: Die 1'682 erfassten Kleinstwasserkraftwerke im Datensatz CH-Kleinstwasserkraftwerke

en: Shapefile der Einzugsgebiete (2 km² ), in denen sich die jeweiligen Kleinstwasserkraftwerke befinden (erstellt von Yasser Haddad. ETH).

en: Shapefile der 2’388 registrierten Wasserkraftanlagen in der Schweiz aus den beiden Datensätzen WASTA (> 300 kW) und CH-Kleinstwasserkraftwerke (≤ 300 kW).

en: .XLSX-Datei der 2’388 registrierten Wasserkraftanlagen in der Schweiz aus den beiden Datensätzen WASTA (> 300 kW) und CH-Kleinstwasserkraftwerke (≤ 300 kW).

en: Shapefile von CH-Kleinstwasserkraftwerke: 1'682 Kleinstwasserkraftwerke (≤ 300 kW) in der Schweiz.

en: .XLSX-Datei von CH-Kleinstwasserkraftwerke: 1'682 Kleinstwasserkraftwerke (≤ 300 kW) in der Schweiz.

en:
In der Schweiz werden Wasserkraftanlagen (WKA) mit einer Leistung von mehr als 300 kW systematisch erfasst und in der nationalen Wasserkraftstatistik (WASTA) zusammengetragen. Die WASTA bildet eine umfangreiche Datengrundlage für Analysen bezüglich Wasserkraft, auch im Kontext von Klimawandel, Biodiversitätsverlust und Energiewende. Nicht erfasst auf nationaler Ebene waren bis anhin die sogenannten Kleinstwasserkraftwerke, WKA mit einer Leistung von weniger als 300 kW. Kleinstwasserkraftwerke tragen zwar nicht wesentlich zur Schweizer Elektrizitätsversorgung bei, haben jedoch aufgrund ihrer hohen Anzahl Auswirkungen auf die Gewässerökologie, die mit den Klimawandel noch stärker unter Druck gerät.
Der neu erstellte Datensatz CH-Kleinstwasserkraftwerke umfasst 1'682 WKA mit einer Leistung von weniger als 300 kW. In den zwei Datensätzen WASTA (> 300 kW) und CH-Kleinstwasserkraftwerke (≤ 300 kW) sind zurzeit 2’388 WKA erfasst. Im Austausch mit den 26 Kantonen wurde jedoch klar, dass es sich nicht um eine vollständige Sammlung von Kleinstwasserkraftwerken handelt. Die 1'682 Kleinstwasserkraftwerke machen rund 70% aller erfassten WKA in der Schweiz aus, tragen jedoch mit weniger als 600 GWh/Jahr lediglich rund 1.5% zur schweizerischen Wasserkraftproduktion bei. In einem optimistischen Szenario, in dem die jährliche Produktionserwartung tendenziell überschätzt wird, liegt dieser Anteil um 0.3% höher. Von den erfassten 2’388 WKA erzeugen die 10% der grössten Anlagen über 90% der schweizerischen Wasserkraftproduktion. Der Datensatz CH-Kleinstwasserkraftwerke ist im Rahmen der ETH-Initiative SPEED2ZERO entstanden, die Klimadienstleistungen in den Bereichen Klimawandel, Biodiversitätsverlust und Energiewende erbringt (https://speed2zero.ethz.ch).
Hier verfügbare Datensätze:
- CH-Kleinstwasserkraftwerke - der hier vorgestellte Datensatz mit 1'682 Kleinstwasserkraftwerken
- EZG-Kleinstwasserkraftwerke - die Einzugsgebiete (2 km² ), in denen sich die 1'682 Kleinstwasserkraftwerke befinden (erstellt von Yasser Haddad. ETH)
- Metadaten - sämtliche Metadaten zum Datensatz CH-Kleinstwasserkraftwerke
- CH-WKA - eine Zusammenstellung sämtlicher 2'388 erfassten Wasserkraftanlagen in der Schweiz aus den beiden Datensätzen WASTA (> 300 kW) und CH-Kleinstwasserkraftwerke (≤ 300 kW)

datensatz

display_name: datensatz

kleinstwasserkraftwerke

display_name: kleinstwasserkraftwerke

schweiz

display_name: schweiz

wasserkraft

display_name: wasserkraft

educ

en: Education, culture and sport

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: CH-Kleinstwasserkraftwerke - ein schweizweiter Datensatz zu Kleinstwasserkraftwerken


en: cold-lab blowing-snow water-isotopes metamorphism drifting-snow experiments wind-tunnel snow-saltation

en: Snow samples - sphere size statistics files

en: The individual measurement reports of the microCT scan for each snow sample as combined zip file. The file names and the sample number indicate which snow sample it is, see "Snow samples - microCT measurements". Each file contains the statistics and the count of fitted sphere size diameters and the respective share (in-%) in the frequency distribution. Immediately after snow sampling, a small portion of snow was transferred to the cylindrical μCT sample holder with a diameter of 15 mm and analysed at -20°C using a Scanco® CT-40 scanner. The analysis followed Hildebrand and Rüegsegger (1997).

en:
The dataset contains the stable water isotopic composition (d18O, dD. d-excess) of the snow samples taken during the ring wind tunnel experiments in January and May 2023 at the SLF cold laboratory facilities in Davos. The snow samples were collected in air-tight WhirlPaks and kept frozen at -20°C until they were melted in the closed sampling bags, filtered and 1.8ml were transferred into a 2ml glass vial and shipped to the Paul Scherrer Institut in Villigen, Switzerland where they were analysed following established laboratory procedures. The combined uncertainty on the individual isotopic composition is <0.5‰ for dD and <0.1‰ for d18O which yields an uncertainty of 0.9‰ on d-excess.
Timestamps are given for local Davos time (LT) and synchronised to the CRDS instrument which is in UTC. The "ExpNo" column refers to the experiment numbers given in Wahl et al. (2024), Table 1. The "type" of the snow samples is: "ini" = initial snow before introduction to the wind tunnel, "airborne" = snow sampled out of the air, "acc_in" = inner part of accumulated snow, "acc_out" = outer surface layer of accumulated snow.

en: Meteorological variables measured inside the wind tunnel during the May 2023 experiments

en: The dataset contains the 1-minute averages of the calibrated meteorological variables: temperature (T, °C), relative humidity (RH, %), relative humidity referenced against saturation over ice (RHice, %), specific humidity (q, g/kg) and wind speed (WS, m/s) as measured in the observation section of the wind tunnel at different heights and the room temperature of the laboratory measured outside the wind tunnel (Lab_Ta, °C). The measurement heights correspond to: "Top"=42.5cm, "Mid"=30cm, "Bot"=15cm, "PT100_Ta"=3cm. "WS" was measured at 36.5cm height. The time was synchronised to the concurrent CRDS measurements (which are UTC) and adjusted for the time lag resulting from pumping vapour from inside the wind tunnel to the CRDS. The timestamps indicate the beginning of the averaging period.

en: Wind tunnel water vapour isotopic composition

en: The water vapour and its calibrated isotopic composition sampled inside the wind tunnel at 46cm height during the experiments. The vapour was pumped through a heated copper tube at a rate of 0.2 l/min to the CRDS instrument located in a temperate room outside the cold laboratory. The data has 1 second resolution with the timestamp in UTC (CRDS reference time). The measured variables are the calibrated d18O (‰), dD (‰) and d-excess (‰) signals and the uncalibrated ("H2Oraw", ppmv) and calibrated ("H2Ocali",ppmv) humidity readings of the CRDS and converted to specific humidity ("spechum", g/kg). The isotope data was corrected for its humidity-isotope dependency and referenced against the VSMOW-SLAP scale. Calibration runs were performed daily and details can be found in Wahl et al. (2024) including the Supplementary Materials.

en: Snow samples - microCT measurements

en: The data of the snow samples that were analysed in a Scanco® CT-40 scanner using a sample holder of 15 mm diameter which allowed for a high-resolution analysis with voxel size of 8 μm. The timestamp (local time, Davos, Switzerland) of snow sampling is given as well as the type of snow sample (see Snow samples - stable water isotopic composition dataset), the corresponding wind tunnel experiment number ("ExpNo", Wahl et al. (2024), Table 1) and the time since the snow introduction to the wind tunnel. The measured SSA is given in units 1/mm. The column "hist_filename" lists the name of the corresponding .txt file which contains the sphere size statistics of the snow samples. The sphere size statistics files are compressed in a .zip file.

en: Meteorological variables measured inside the wind tunnel during the January 2023 experiments

en: The dataset contains the 1-minute averages of the calibrated meteorological variables: temperature (T, °C), relative humidity (RH, %), relative humidity referenced against saturation over ice (RHice, %), specific humidity (q, g/kg) and wind speed (WS, m/s) as measured in the observation section of the wind tunnel at different heights. The measurement heights correspond to: "Top"=42.5cm, "Mid"=30cm, "Bot"=15cm, "PT100_Ta"=3cm. "WS" was measured at 36.5cm height. The timestamp is in local time (UTC+1) and indicates the start of the averaging period.

en: This dataset collection contains all datasets collected during the ring wind tunnel experiments in January and May 2023 at the SLF cold laboratory facilities in Davos. A full description of the experiment set-up can be found in Wahl et al. (2024). The collection contains data from 19 experiments. The dataset collection entails measurements of the stable water isotopic composition of snow samples and the water vapour inside the wind tunnel, measurements of the meteorological variables inside the wind tunnel and snow sample properties as measured with microCT measurements (sphere size distribution and specific surface area (SSA)).

blowing-snow

display_name: blowing-snow

cold-lab

display_name: cold-lab

drifting-snow

display_name: drifting-snow

experiments

display_name: experiments

metamorphism

display_name: metamorphism

snow-saltation

display_name: snow-saltation

water-isotopes

display_name: water-isotopes

wind-tunnel

display_name: wind-tunnel

en: Ring wind tunnel experiments - airborne snow metamorphism and stable water isotopes


maintainer: Merin Reji Chacko

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

en: Field Metadata

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

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: 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

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

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


en: land-use species-interaction spatial-modelling gui treemig forest-dynamics r-package forest species-migration forest-model bioclimatic-variables

en: Description input data

en: Details where the input data come from and how they have been processed

en: TreeMig Simulation Environment and Input Data

en:
The zip file consists of a R-script to provide the framework, an example simulation environment and a set of input data.
- The R-script installAndRunTreeMigWrapperAndGUI.R installs the R-package, links to the input data and starts the graphical user interface.
- The gridded input datasets in TMInputData are specifically tailored to Switzerland and have the same coordinate reference system and a congruent 200m spatial resolution. They consist of climate, topographic, land use and soil data. For details see TMInputDataDetails.pdf.
- TMEnvironment is an example simulation environment, i.e. a set of hierarchically structured folders. For the first example simulation of the tutorial it contains the
  - the TreeMig executables for MacOS, Linux and Windows
  - simulation control files that define the setup and input files of the simulation (in folder C)
  - species parameters (in folder P)
  - bioclimatic data (in folder E)
  - folder R for results
  - folder Plots for plots of the simulation results.
  - This environment can be also used for the subsequent simulations of the tutorial.
- Some additional R-scripts demonstrate more complex applications described in the tutorial, e.g. coupling to another model.

en: TreeMig Tutorial

en: Tutorial for using the TreeMig framework; updated

en:
Starter kit for the [TreeMig framework](treemig.wsl.ch) that allows for an easy application of the forest landscape model TreeMig for simulating forest dynamics in space under changing environmental and land use conditions.
The starter kit consists of a set of climate, land-use, topography and soil property input data for Switzerland, a script for installing the framework and running the GUI of the framework with the link to the input data, a tutorial covering a range of simulation examples for Switzerland and a transect through Europe, and an associated example simulation environment containing the model executables and other model inputs.

bioclimatic-variables

display_name: bioclimatic-variables

forest

display_name: forest

forest-dynamics

display_name: forest-dynamics

forest-model

display_name: forest-model

gui

display_name: gui

land-use

display_name: land-use

r-package

display_name: r-package

spatial-modelling

display_name: spatial-modelling

species-interaction

display_name: species-interaction

species-migration

display_name: species-migration

treemig

display_name: treemig

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: Starter Kit for the TreeMig framework v1 for easy simulation of spatio-temporal forest dynamics


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

en: WMS-Layer als Hintergrundkarten laden

en: View video on youtube!

en:
In order to digitally plan a cable line using the QGIS plugin ‘Seilaplan’, maps with various background information are helpful. In this tutorial we show you how to obtain maps that are helpful for cable line planning, for example a national map of Switzerland at different scales, the NFI vegetation height model or the NFI forest mix rate. For this we explain what WMS datasets are and how to integrate them into QGIS. No download of large data is needed for this, only a good internet connection. Please note that the tutorial language is German!

Link for the integration of WMS data: https://wms.geo.admin.ch/

Link to the description on the Swisstopo website:
https://www.geo.admin.ch/en/geo-services/geo-services/portrayal-services-web-mapping/web-map-services-wms.html

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

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

Für die Verwendung des QGIS Plugins Seilaplan zur digitalen Seillinienplanung sind verschiedene Hintergrundkarten hilfreich. In diesem Tutorialvideo zeigen wir, was WMS Daten sind und wie man diese in QGIS einbinden kann. Dafür müssen die Daten nicht heruntergeladen werden. Es braucht lediglich eine gute Internetverbindung. Für die Seillinienplanung hilfreiche Karten sind bspw. die Landeskarte der Schweiz in verschiedenen Massstäben, das Vegetationshöhenmodell LFI oder der Waldmischungsgrad LFI.

Link zur Einbindung der WMS Daten: https://wms.geo.admin.ch/

Link zur Beschreibung auf der Swisstopo Webseite: https://www.geo.admin.ch/de/geo-dienstleistungen/geodienste/darstellungsdienste-webmapping-webgis-anwendungen/web-map-services-wms.html

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

cable-yarding

display_name: cable-yarding

digital-elevation-model

display_name: digital-elevation-model

digital-planning

display_name: digital-planning

geoinformation-system

display_name: geoinformation-system

open-source

display_name: open-source

qgis-plugin

display_name: qgis-plugin

seilaplan

display_name: seilaplan

swiss-geodata

display_name: swiss-geodata

wms-data

display_name: wms-data

en: Seilaplan Tutorial: Load WMS layers as background maps


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

en: WPSrun

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

en: MeteorologicalData

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

en: WPSSetup

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

en: StaticData

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

en: Postprocessing

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

en: COSMO-WRF documentation v1.0

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

Documentation about the procedure to run COSMO-WRF

en: WRFrun

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

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

complex-terrain

display_name: complex-terrain

cosmo-wrf

display_name: cosmo-wrf

high-resolution

display_name: high-resolution

meteoswiss

display_name: meteoswiss

numerical-simulation

display_name: numerical-simulation

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal


en: diversity insects sdms arthropods birds species-richness-models urban-ecology urbanization snails spiders species-abundance-distributions

en: abundance and occurrence data of the 1446 species studied, used to investigate species-abundance distributions and species-occurrence distributions

en: contains the raw data to perform the species richness models of the rare species

en: contains the raw data to perform the species richness models of all species

en: contains the raw data to perform the species richness models of the hypercommon species

en: contains the raw data to perform species distribution models, only for common species

en:
Richness, site occurrence and abundance data of bees, beetles, birds, hoverflies, net-wingeds, true bugs, snails, spiders, milipides, wasps collected in the city of Zurich using different sampling techniques, and the environmental variables for each sampling site.
Data are provided on request to contact person against bilateral agreement.

arthropods

display_name: arthropods

birds

display_name: birds

diversity

display_name: diversity

insects

display_name: insects

sdms

display_name: sdms

snails

display_name: snails

species-abundance-distributions

display_name: species-abundance-distributions

species-richness-models

display_name: species-richness-models

spiders

display_name: spiders

urban-ecology

display_name: urban-ecology

urbanization

display_name: urbanization

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: Ecological properties of urban ecosystems. Biodiversity dataset of Zurich


maintainer: Armin Sigmund

en: isotopic-distillation lagrangian-analysis backward-trajectories stable-water-isotopes snow-sublimation antarctica evaporation

en: Readme

en: Meta data

en: Data

en: Modeled data including the data shown in the figures of the related research article

en: Python scripts for data visualization

en: Scripts for generating the figures of the related research article and generating the data files (csv) from the model output

en: Model code

en: Model Sublimation and Model Air Parcel (python scripts)

en:
 Summary

This data set contains Python programming code and modeled data discussed in a related research article. We developed a simple isotope model to study the drivers of the particularly depleted vapour isotopic composition measured on the ship of the Antarctic Circumnavigation Expedition close to the outlet of the Mertz glacier, East Antarctica, in the 6-day period from 27 January 2017 to 1 February 2017. The model considers the stable water isotopologues H2(16O), H2(18O), and HD(16O). It uses data from the ERA5 reanalysis product with a spatial resolution of 0.25° x 0.25° (Hersbach et al., 2018) and 10-day backward trajectories for the location of the ship, published by Thurnherr et al. (2020a). Our data set includes the model code, Python scripts for visualizing the results, and data produced by the model including the results shown in the figures of the related research article. Here, we summarize the most important model characteristics while further details can be found in the readme.txt file and the related research article including its supporting information.

 Main model characteristics

The modeling approach consists of two steps called *Model Sublimation* and *Model Air Parcel*. The former estimates the isotopic compositions of the snow and sublimation flux across the Antarctic Ice Sheet using an Eulerian frame of reference while the latter models the vapour isotopic composition and specific humidity along air parcel trajectories using a Lagrangian frame of reference. The isotope effects of most phase changes are represented by equilibrium fractionation. Only for ocean evaporation, kinetic fractionation is additionally taken into account (original Craig-Gordon formula). For snow sublimation, two assumptions are tested: *Run E* assumes that sublimation is associated with equilibrium fractionation while *Run N* assumes that sublimation occurs without isotopic fractionation.

 Model Sublimation
Model Sublimation uses a simple one-dimensional mass-balance approach in each grid cell, considering snow accumulation due to snowfall and vapour deposition and snow ablation due to sublimation. The snowpack is represented by 100 layers of equal thickness (e.g., 1 cm) and density (350 kg m-3). The isotopic composition of snowfall is parameterized by generalizing a site-specific, empirical relationship between the daily mean air temperature and snowfall isotopic composition. In the case of vapour deposition, Model Sublimation assumes equilibrium fractionation and estimates the isotopic composition of the atmospheric vapour as the average value for two idealized situations: (i) locally sourced vapour which has the same isotopic composition as the sublimation flux; (ii) non-locally sourced vapour in isotopic equilibrium with snowfall. Model Sublimation is run with a time step of 1 h, independently of Model Air Parcel.

 Model Air Parcel
Every hour, an ensemble of trajectories arrives at different heights in the ABL above the ship. For each of these trajectories, we consider an air parcel with a constant volume of 1 x 1 x 1 m3. The air parcels are initialized at the first suitable time when the trajectories are located in the ABL, either over the ice-free ocean in conditions of evaporation or over snow (Antarctic Ice Sheet or sea ice). Subsequently, the masses of the water isotopologues in the air parcels are simulated with a time step of 3 h, considering vapour uptake or removal due to the moisture flux at the snow or liquid ocean surface (only if the parcel is in the ABL) and cloud/precipitation formation (if the saturation specific humidity is reached). Sea ice is taken into account in a very simplified way. We represent the sea ice by grid cells with a sea-ice cover of more than 90% and assume the isotopic composition of the sublimation flux to be identical to that in the nearest grid cell of the Antarctic Ice Sheet. The isotopic composition of the sublimation flux is taken from Model Sublimation whereas the isotopic composition of the vapour deposition flux (over snow) and condensation flux (over ice-free ocean) is simulated assuming an isotopic equilibrium with the air parcel. Isotope effects of cloud/precipitation formation are represented using the classic Rayleigh distillation model with equilibrium fractionation, where the cloud water is assumed to precipitate immediately after formation.

 References

Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horanyi, A., Munoz Sabater, J.,... others (2018). *ERA5 hourly data on single levels from 1979 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS)*. doi: 10.24381/cds.bd0915c6

Thurnherr, I., Wernli, H., & Aemisegger, F. (2020a). *10-day backward trajectories from ECMWF analysis data along the ship track of the Antarctic Circumnavigation Expedition in austral summer 2016/2017*. Zenodo. doi: 10.5281/zenodo.4031705

antarctica

display_name: antarctica

backward-trajectories

display_name: backward-trajectories

evaporation

display_name: evaporation

isotopic-distillation

display_name: isotopic-distillation

lagrangian-analysis

display_name: lagrangian-analysis

snow-sublimation

display_name: snow-sublimation

stable-water-isotopes

display_name: stable-water-isotopes

en: Modeled Isotopic Composition of Water Vapour Along Air Parcel Trajectories in the Antarctic


maintainer: Sebastian Schlögl

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

en: Turbulence data WFJ07

en: lower sensor

en: Turbulence data WFJ11

en: Turbulence data GR00

en: sensor in 1 m height

en: Turbulence data AA00

en: sensor in 2 m height

en: sensor in 25 m height

en: Turbulence data PM07

en: SEE

en: sensor in 0.2 m height

en: NWW

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

educ

en: Education, culture and sport

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


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

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

Running the code requires an installation of FEniCS via docker.

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

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

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

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

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

numerical-model

display_name: numerical-model

pattern-formation

display_name: pattern-formation

python

display_name: python

vapor-transport

display_name: vapor-transport

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


maintainer: James W. Kirchner

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

en: MODIS EVI2 script

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

en: 30-minute time series

en: 30-minute hydrometeorological and ecohydrological time series.

en: MODIS NDSI script

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

en: Subcatchment polygons

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

en: Daily time series

en: Daily hydrometeorological and ecohydrological time series

en: Metadata

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

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

Data include 30-minute time series of

- weather variables,

- sap flow fluxes,

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

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

and daily time series of

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

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

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

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

diel-cycle

display_name: diel-cycle

diurnal-cycle

display_name: diurnal-cycle

ecohydrology

display_name: ecohydrology

evapotranspiration

display_name: evapotranspiration

groundwater

display_name: groundwater

sap-flow

display_name: sap-flow

snowmelt

display_name: snowmelt

streamflow

display_name: streamflow

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


en: raclets backward-trajectories ice-nucleation aerosol clouds

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

educ

en: Education, culture and sport

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


maintainer: Jana von Freyberg

en: plant-water-uptake uncertainties endmember-mixing-models review root-zone stable-water-isotopes ecohydrology

en: Data set of MEE-20-04-264 (CSV)

en: Data set of MEE-20-04-264

en: The following two tables contain information about the data sources of the values reported in Table 1 and 2 in the paper “Plant and root-zone water isotopes are difficult to measure, explain, and predict: some practical recommendations for determining plant water sources” published in the journal ‘Methods in Ecology and Evolution’.

en: The following two tables contain information about the data sources of the values reported in Table 1 and 2 in the paper “Plant and root-zone water isotopes are difficult to measure, explain, and predict: some practical recommendations for determining plant water sources” published in the journal 'Methods in Ecology and Evolution'.

endmember-mixing-models

display_name: endmember-mixing-models

plant-water-uptake

display_name: plant-water-uptake

review

display_name: review

root-zone

display_name: root-zone

stable-water-isotopes

display_name: stable-water-isotopes

uncertainties

display_name: uncertainties

en: Data set of: Plant and root-zone water isotopes are difficult to measure, explain, and predict: some practical recommendations for determining plant water sources


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

en: Mean annual temperature modified from CHELSA

media_type: image/tiff

en: Soil organic carbon content modified from SoilGrids

format: TIFF

en: Soil clay content modified from SoilGrids

en: Soil pH modified from SoilGrids

en: Frost change frequency modified from CHELSA

en: Precipitation seasonality from CHELSA

en: Precipitation of driest quarter modified from CHELSA

en: Mean diurnal range modified from CHELSA

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

aridity

display_name: aridity

frost-change-velocity

display_name: frost-change-velocity

ground-temperature

display_name: ground-temperature

precipitation

display_name: precipitation

sdms

display_name: sdms

soil

display_name: soil

en: Environmental layers for SDM simulations (GDPlants)


en: climate-change graubunden switzerland alpine3d-simulations snow

en: Configuration file

en: Simulation data

en: Reference data as well as the 2050 and 2099 scenarios for ARPEGE and ETHZ other RCMs available on demand)

en:
This is the simulation dataset from _"Response of snow cover and runoff to climate change in high Alpine catchments of Eastern Switzerland"_, M. Bavay, T. Grünewald, M. Lehning, Advances in Water Resources 55, 4-16, 2013

A model study on the impact of climate change on snow cover and runoff has been conducted for the Swiss Canton of Graubünden. The model Alpine3D has been forced with the data from 35 Automatic Weather Stations in order to investigate snow and runoff dynamics for the current climate. The data set has then been modified to reflect climate change as predicted for the 2021-2050 and 2070-2095 periods from an ensemble of regional climate models.

The predicted changes in snow cover will be moderate for 2021-2050 and become drastic in the second half of the century. Towards the end of the century the snow cover changes will roughly be equivalent to an elevation shift of 800 m. Seasonal snow water equivalents will decrease by one to two thirds and snow seasons will be shortened by five to nine weeks in 2095.

Small, higher elevation catchments will show more winter runoff, earlier spring melt peaks and reduced summer runoff. Where glacierized areas exist, the transitional increase in glacier melt will initially offset losses from snow melt. Larger catchments, which reach lower elevations will show much smaller changes since they are already dominated by summer precipitation.

climate-change

display_name: climate-change

graubunden

display_name: graubunden

snow

display_name: snow

switzerland

display_name: switzerland

educ

en: Education, culture and sport

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: Alpine3D simulations of future climate scenarios for Graubunden


maintainer: Thorsten Bartels-Rausch

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

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

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

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

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

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

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

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

antartic

display_name: antartic

arctic

display_name: arctic

cryosphere

display_name: cryosphere

laboratory-study

display_name: laboratory-study

polar

display_name: polar

sea-salt-aerosol

display_name: sea-salt-aerosol

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