en: Data structure in German

de: Warenhandel bei Quartal, Handelspartner, Richtung und Einheit

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

foreign-trade-in-goods

display_name: foreign-trade-in-goods

warenhandel

display_name: warenhandel

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: Warenhandel nach Handelspartner und Richtung seit 1995

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


maintainer: Amt für Statistik

state: active

type: dataset

de: Datenwürfel auf Englisch

en: Data cube in English

media_type: text/html

format: HTML

de: Datenwürfel auf Deutsch

en: Data cube in German

de: Datenstruktur auf Englisch

en: Data structure in English

media_type: application/json

format: JSON

de: Datenstruktur auf Deutsch

de: Zuzüger aus dem Ausland nach Stichtag, Heimat, Lebensalter, Geschlecht und Höchste abgeschlossene Ausbildung

en: Immigrants by Reference date, Citizenship, Age, Sex and Educational attainment

bevolkerungsstruktur

display_name: bevolkerungsstruktur

population-structure

display_name: population-structure

soci

fr: Population et société

de: Bevölkerung und Gesellschaft

en: Population and society

it: Popolazione e società

de: Amt für Statistik

en: Office of Statistics

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

political_level: other

liechtenstein

capacity: public

type: organization

approval_status: approved

key: guid

key: uri

value: DCAT Harvester Amt für Statistik FL

de: Zuzüger aus dem Ausland nach Heimat, Lebensalter, Geschlecht und höchster abgeschlossener Ausbildung

en: Immigrants by citizenship, age, sex and educational attainment


de: Gestorbene bei Jahr, Geschlecht und Monat

en: Deaths by Year, Sex and Month

births-deaths

display_name: births-deaths

geburten-todesfalle

display_name: geburten-todesfalle

de: Gestorbene nach Geschlecht und Monat seit 1999

en: Deaths by sex and month since 1999


de: Studierende aus Liechtenstein an Fachhochschulen nach Jahr, Fachbereich, Geschlecht und Studienstufe

en: Students from Liechtenstein at universities of applied sciences by Year, Field of education, Sex and Academic degree

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: Studierende aus Liechtenstein an Fachhochschulen nach Fachbereich, Geschlecht und Studienstufe seit 2005/06

en: Students from Liechtenstein at universities of applied sciences by field of education, sex and type of academic degree since 2005/06


de: Vollzeitäquivalente bei Jahr, Wirtschaftszweig, Arbeitsgemeinde und Geschlecht

en: Full-time equivalents by Year, Economic activity, Municipality of work and Sex

beschaftigung

display_name: beschaftigung

employment

display_name: employment

econ

fr: Économie et finances

de: Wirtschaft und Finanzen

en: Economy and finance

it: Economia e finanze

de: Vollzeitäquivalente nach Wirtschaftszweig, Arbeitsgemeinde und Geschlecht seit 2008

en: Full-time equivalents by economic activity, municipality of work and sex since 2008


en: Data structure in German

de: Schulkinder bei Jahr, Schultyp, Schulstufe und Kennzahl

en: Pupils by Year, Type of school, Level of education and Key figure

schools

display_name: schools

schulen

display_name: schulen

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: Schulkinder nach Schultyp, Schulstufe und Kennzahl seit 2005/06

en: Pupils by type of school, level of education and key figure since 2005/06


de: Datenstruktur auf Englisch

en: Data structure in English

de: Datenwürfel auf Deutsch

en: Data cube in German

de: Datenwürfel auf Englisch

en: Data cube in English

de: Ergebnisse der Landtagswahlen bei Jahr, Kennzahl, Partei und Wahlkreis

en: Results of parliamentary elections by Year, Key figure, Political party and Constituency

elections-referendums

display_name: elections-referendums

wahlen-abstimmungen

display_name: wahlen-abstimmungen

gove

fr: Gouvernement et secteur public

de: Regierung und öffentlicher Sektor

en: Government and public sector

it: Governo e settore pubblico

de: Ergebnisse der Landtagswahlen nach Wahlkreis und Partei seit 1945

en: Results of parliamentary elections by constituency and political party since 1945


de: Datenstruktur auf Deutsch

de: Obligatorische Krankengeldversicherung - Anzahl ausbezahlte Taggelder bei Jahr und Wartefrist

en: Compulsory daily sickness allowance insurance - Number of daily allowances by Year and Waiting period

health-insurers

display_name: health-insurers

krankenversicherer

display_name: krankenversicherer

heal

fr: Santé

de: Gesundheit

en: Health

it: Salute

amt-fuer-statistik-fl

de: Amt für Statistik

en: Office of Statistics

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

de: Obligatorische Krankengeldversicherung - Anzahl ausbezahlte Taggelder nach Wartefrist seit 2005

en: Compulsory daily sickness allowance insurance - Number of daily allowances by waiting period since 2005


de: Konsolidiert - Konsolidierte Indikatoren bei Jahr, Indikator und Bereich

en: Consolidated - Consolidated indicators by Year, Indicator and Area

banken

display_name: banken

banking-institutions

display_name: banking-institutions

de: Konsolidiert - Konsolidierte Indikatoren nach Bereich seit 2017

en: Consolidated - Consolidated indicators by area since 2017


de: Studierende aus Liechtenstein an Fachhochschulen nach Jahr, Fachbereich, Geschlecht und Studienland

en: Students from Liechtenstein at universities of applied sciences by Year, Field of education, Sex and Country of university of applied sciences

educ

de: Bildung, Kultur und Sport

en: Education, culture and sport

de: Studierende aus Liechtenstein an Fachhochschulen nach Fachbereich, Geschlecht und Studienland seit 2005/06

en: Students from Liechtenstein at universities of applied sciences by field of education, sex and country of university since 2005/06


en: Data structure in German

de: Ständige Bevölkerung bei Jahr, Staatsbürgerschaft, Geschlecht und Wohngemeinde

en: Permanent resident population by Year, Citizenship, Sex and Municipality of residence

bevolkerungsstand

display_name: bevolkerungsstand

population-stock

display_name: population-stock

soci

de: Bevölkerung und Gesellschaft

en: Population and society

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: Ständige Bevölkerung nach Staatsbürgerschaft, Geschlecht und Wohngemeinde seit 2000

en: Permanent resident population by citizenship, sex, and municipality of residence since 2000


de: Datenwürfel auf Deutsch

en: Data cube in German

de: Erwerbstätige Bevölkerung nach Stichtag, Gegenwärtiger Beruf, Heimat, Geschlecht und Wohngemeinde

employment-structure

display_name: employment-structure

erwerbsstruktur-berufe

display_name: erwerbsstruktur-berufe

econ

de: Wirtschaft und Finanzen

en: Economy and finance

de: Erwerbstätige Bevölkerung nach gegenwärtigem Beruf, Heimat, Geschlecht und Wohngemeinde


de: Datenstruktur auf Deutsch

de: Datenwürfel auf Englisch

en: Data cube in English

de: Datenstruktur auf Englisch

en: Data structure in English

de: Erstzugelassene Personenwagen bei Jahr, Treibstoffart, Gesamtgewichtsklasse und Leistungsklasse

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

fahrzeug-erstzulassungen

display_name: fahrzeug-erstzulassungen

vehicle-registration

display_name: vehicle-registration

tran

fr: Transports

de: Verkehr

en: Transport

it: Trasporti

de: Erstzugelassene Personenwagen nach Treibstoffart, Gesamtgewichtsklasse und Leistungsklasse

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


de: Einkommensentstehungskonto zu laufenden Preisen seit 2013 bei Jahr, Transaktion und Institutioneller Sektor

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

national-accounts

display_name: national-accounts

volkswirtschaftliche-gesamtrechnungen

display_name: volkswirtschaftliche-gesamtrechnungen

amt-fuer-statistik-fl

de: Amt für Statistik

en: Office of Statistics

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

de: Einkommensentstehungskonto zu laufenden Preisen seit 2013 nach Sektor

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


de: Personenwagenbestand bei Stichtag, Marke, Antriebsart, Karosserie und Altersklasse (Jahre)

en: Licensed passenger cars by Reference date, Make, Type of drive, Type of body and Age category (years)

fahrzeugbestand

display_name: fahrzeugbestand

licensed-vehicles

display_name: licensed-vehicles

de: Personenwagenbestand nach Marke, Antriebsart, Karosserie und Altersklasse seit 2013

en: Licensed passenger cars by make, type of drive, type of body and age category since 2013


en: Data structure in German

de: Heiratende Personen bei Jahr, Geschlecht, Staatsbürgerschaft und Staatsbürgerschaft des Partners

en: Marrying persons by sex, citizenship and partner's citizenship by Year, Sex, Citizenship and Partner's citizenship

ehen-partnerschaften

display_name: ehen-partnerschaften

marriages-partnerships

display_name: marriages-partnerships

soci

de: Bevölkerung und Gesellschaft

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: Heiratende Personen nach Geschlecht, Staatsbürgerschaft und Staatsbürgerschaft des Partners seit 1999

en: Marrying persons by sex, age group, citizenship and partners citizenship since 1999


de: Datenwürfel auf Deutsch

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

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

econ

de: Wirtschaft und Finanzen

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

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


de: Datenstruktur auf Deutsch

de: Datenstruktur auf Englisch

en: Data cube in German

de: Datenwürfel auf Englisch

de: Abschlüsse der Sekundarstufe II in Liechtenstein bei Jahr, Profil und Geschlecht

en: Graduates at secondary school level II in Liechtenstein by Year, Profile and Sex

schools

display_name: schools

schulen

display_name: schulen

educ

de: Bildung, Kultur und Sport

en: Education, culture and sport

de: Abschlüsse der Sekundarstufe II in Liechtenstein nach Profil und Geschlecht seit 2011

en: Graduates at secondary school level II in Liechtenstein by profile and sex since 2010/2011


en: Data structure in English

en: Data cube in English

de: Einzelbasis - Ausserbilanzgeschäfte bei Jahr, Ausserbilanzgeschäft und Domizil

en: Individual basis - Off-balance sheet transactions by Year, Off-balance sheet and Domicile

econ

en: Economy and finance

amt-fuer-statistik-fl

de: Amt für Statistik

de: Einzelbasis - Ausserbilanzgeschäfte nach Domizil seit 2017

en: Individual basis - Off-balance sheet transactions by domicile since 2017


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

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

duale-ausbildung

display_name: duale-ausbildung

vocational-education-and-training

display_name: vocational-education-and-training

en: Office of Statistics

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

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

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


en: Data structure in German

de: Einzelbasis - Verbindlichkeiten gegenüber Kunden bei Jahr, Anzahl Konti / Einlage, Verbindlichkeiten gegenüber Kunden, Einlageklasse und Domizil

en: Individual basis - Liabilities to clients by Year, Number of accounts / deposit, Liabilities to clients, Deposit class and Domicile

banken

display_name: banken

banking-institutions

display_name: banking-institutions

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: Einzelbasis - Verbindlichkeiten gegenüber Kunden nach Anzahl Konti, Einlage, Einlageklasse und Domizil seit 2017

en: Individual basis - Liabilities to clients by number of accounts, deposit, deposit class and domicile since 2017


de: Datenwürfel auf Deutsch

de: Einzelbasis - Baukredite bei Jahr, Baukredit, Domizil und Baukategorie

en: Individual basis - Construction loans by Year, Constuction loan, Domicile and Construction category

de: Einzelbasis - Baukredite nach Domizil und Baukategorie seit 2017

en: Individual basis - Construction loans by domicile and construction category since 2017


en: Data cube in German

de: Datenstruktur auf Deutsch

de: Altautos bei Jahr und Kennzahl

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

abfall

display_name: abfall

waste

display_name: waste

envi

fr: Environnement

de: Umwelt

en: Environment

it: Ambiente

de: Altautos nach Kennzahl seit 1996

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


de: Datenwürfel auf Englisch

en: Data cube in English

de: Datenstruktur auf Englisch

en: Data structure in English

de: Wahlbeteiligung bei Gemeinderatswahlen nach Jahr, Gemeinde, Kennzahl und Gruppe

en: Voter turnout in municipal council elections by Year, Municipality, Key figure and Group

elections-referendums

display_name: elections-referendums

wahlen-abstimmungen

display_name: wahlen-abstimmungen

gove

de: Regierung und öffentlicher Sektor

en: Government and public sector

de: Wahlbeteiligung bei Gemeinderatswahlen nach Gemeinde, Gruppe und Kennzahl seit 2019


de: Stromproduktion mit Wasserkraft bei 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

amt-fuer-statistik-fl

de: Amt für Statistik

de: Stromproduktion mit Wasserkraft nach Kraftwerk seit 1990

en: Electricity production from hydropower by power station since 1990


de: Personenwagenbestand bei Stichtag, Leergewichtsklasse, Treibstoffart und Altersklasse (Jahre)

en: Licensed passenger cars by Reference date, Unladen weight class, Type of fuel and Age category (years)

tran

de: Verkehr

en: Transport

en: Office of Statistics

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

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

de: Personenwagenbestand nach Leergewichtsklasse, Treibstoffart und Altersklasse seit 2013

en: Licensed passenger cars by unladen weight class, type of fuel and age category since 2013


de: Datenstruktur auf Deutsch

en: Data structure in German

de: Datenwürfel auf Deutsch

de: Erstzugelassene leichte Nutzfahrzeuge bis 3.5 t bei Jahr, Importart, Fahrzeuggruppe und Kennzahlen

en: Utility vehicles up to 3.5 t registered for the first time by Year, Kind of import, Utility vehicles up to 3 and Key figures

fahrzeug-erstzulassungen

display_name: fahrzeug-erstzulassungen

vehicle-registration

display_name: vehicle-registration

de: Erstzugelassene leichte Nutzfahrzeuge bis 3.5 t nach Importart und Fahrzeuggruppe sowie mittlere CO2-Emission

en: Utility vehicles up to 3.5 t registered for the first time by kind of import and vehicle group as well as average CO2 emission


en: Data cube in German

de: Datenwürfel auf Englisch

de: Erstzugelassene Personenwagen bei Jahr, Leergewichtsklasse, Leistungsklasse und Monat

en: Passenger cars registered for the first time by Year, Unladen weight class, Engine power class and Month

de: Erstzugelassene Personenwagen nach Leergewichtsklasse, Leistungsklasse und Monat

en: Passenger cars registered for the first time by unladen weight class, engine power class and month


de: Datenstruktur auf Englisch

en: Data structure in English

en: Data cube in English

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

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

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

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


de: Lebendgeborene bei Staatsbürgerschaft der Mutter und Jahr

en: Live births by Mother's citizenship and Year

births-deaths

display_name: births-deaths

geburten-todesfalle

display_name: geburten-todesfalle

soci

de: Bevölkerung und Gesellschaft

en: Population and society

amt-fuer-statistik-fl

de: Amt für Statistik

de: Lebendgeborene nach Staatsbürgerschaft der Mutter seit 1999

en: Live births by mothers citizenship since 1999


de: Wohneinheiten nach Stichtag, Gebäudeart, Bauperiode und Gemeinde

en: Housing Units by Reference date, Type of building, Construction period and Municipality

buildings-dwellings

display_name: buildings-dwellings

gebaude-wohnungen

display_name: gebaude-wohnungen

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: Wohneinheiten nach Gebäudeart, Bauperiode und Gemeinde

en: Housing units by type of building, construction period and municipality


de: Datenwürfel auf Deutsch

de: Datenstruktur auf Deutsch

en: Data structure in German

de: Alle Beherbergungsarten bei Jahr, Kennzahl und Beherbergungsart

en: All types of accommodation by year, Key figure and Type of accommodation

tourism

display_name: tourism

tourismus

display_name: tourismus

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: Alle Beherbergungsarten - Erfasste Betriebe, Gästeankünfte, Logiernächte und Aufenthaltsdauer nach Beherbergungsart seit 1980

en: All types of accommodation - Recorded establishments, Arrivals, Nights spent and Lenght of stay by type of accomodation since 1980


en: Data cube in German

de: Datenwürfel auf Englisch

de: Wohnungen nach Stichtag, Bewohnertyp, Lebensalter der Referenzperson, Heimat der Referenzperson und Gemeinde

en: Dwellings by Reference date, Type of occupant, Age of reference person, Nationality of reference person and Municipality

de: Wohnungen nach Bewohnertyp, Lebensalter und Heimat der Referenzperson sowie Gemeinde

en: Dwellings by type of occupant, age and nationality of reference person and municipality


en: Data cube in English

de: Datenstruktur auf Englisch

en: Data structure in English

de: Alle Beherbergungsarten bei Jahr, Kennzahl, Region, Betriebsstandort und Monat

en: All types of accommodation by Year, Key figure, Region, Place of establishment and Month

de: Alle Beherbergungsarten - Gästeankünfte, Logiernächte und Aufenthaltsdauer nach Region, Betriebsstandort und Monat seit 2012

en: All types of accommodation - Arrivals, nights spent and length of stay by region, place of establishment and month since 2012


de: Familienhaushalte mit ledigen Kindern unter 25 Jahren nach Stichtag, Familientyp, Anzahl Kinder, Haushaltsgrösse und Gemeinde

en: Family households with unmarried child(ren) younger than 25 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

soci

de: Bevölkerung und Gesellschaft

en: Population and society

de: Familienhaushalte mit ledigen Kindern unter 25 Jahren nach Familientyp, Anzahl Kinder, Haushaltsgrösse und Gemeinde

en: Family households with unmarried child(ren) younger than 25 years by type of family, number of children, size of household and municipality


de: Zuzüger aus dem Ausland nach Stichtag, Heimat, Geschlecht und Gemeinde

en: Immigrants by citizenship, sex and municipality by Reference date, Citizenship, Sex and Municipality

bevolkerungsstruktur

display_name: bevolkerungsstruktur

population-structure

display_name: population-structure

amt-fuer-statistik-fl

de: Amt für Statistik

en: Office of Statistics

de: Zuzüger aus dem Ausland nach Heimat, Geschlecht und Gemeinde


de: Datenwürfel auf Deutsch

en: Data structure in German

de: Überbauungsflächen der Bauprojekte (in Tsd. Quadratmeter) bei Bewilligungsjahr, Art der Arbeiten, Art der Fläche und Gemeinde

en: Construction area of the building projects (in thousand square metres) by Year of approval, Type of work, Type of area and Municipality

bautatigkeit

display_name: bautatigkeit

construction-activity

display_name: construction-activity

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: Überbauungsflächen der Bauprojekte (in Tsd. Quadratmeter) nach Art der Arbeiten, Art der Fläche und Gemeinde seit 2010

en: Construction areas of the building projects (in thousand square metres) by type of work, type of area and municipality since 2010


de: Datenstruktur auf Deutsch

de: Warenhandel bei Jahr, Monat, Richtung und Einheit

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

foreign-trade-in-goods

display_name: foreign-trade-in-goods

warenhandel

display_name: warenhandel

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: Warenhandel nach Richtung seit 1995

en: Trade in goods by traffic direction since 1995


de: Datenwürfel auf Englisch

en: Data cube in German

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

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

banken

display_name: banken

banking-institutions

display_name: banking-institutions

econ

de: Wirtschaft und Finanzen

en: Economy and finance

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

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


de: Datenstruktur auf Englisch

en: Data structure in English

en: Data cube in English

de: Motorräderbestand bei 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

de: Verkehr

en: Transport

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


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

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

duale-ausbildung

display_name: duale-ausbildung

vocational-education-and-training

display_name: vocational-education-and-training

educ

de: Bildung, Kultur und Sport

en: Education, culture and sport

amt-fuer-statistik-fl

de: Amt für Statistik

de: Lernende in Liechtenstein an Berufsmaturitätsschulen nach Bildungsfeld, Wohnland und Geschlecht seit 2014/15

en: Apprentices in Liechtenstein at vocational baccalaureate schools by field of education, country of residence and sex since 2014/15


author: Amt für Statistik

en: Data structure in German

de: Datenwürfel auf Deutsch

de: Kennzahlen der Vorsteherwahlen nach Jahr, Kennzahl und Gemeinde

en: Key figures on mayorial elections by Year, Key figure and Municipality by Year, Key figure and Municipality

elections-referendums

display_name: elections-referendums

wahlen-abstimmungen

display_name: wahlen-abstimmungen

gove

de: Regierung und öffentlicher Sektor

en: Government and public sector

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: Kennzahlen der Vorsteherwahlen nach Gemeinde seit 1975

en: Key figures on mayoral elections by municipality and political party since 1975


de: Datenstruktur auf Deutsch

en: Data cube in German

de: Datenwürfel auf Englisch

de: Erwerbstätige Bevölkerung nach Stichtag, Wirtschaftssektoren, Heimat, Geschlecht und Wohngemeinde

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

employment-structure

display_name: employment-structure

erwerbsstruktur-berufe

display_name: erwerbsstruktur-berufe

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: Erwerbstätige Bevölkerung nach Wirtschaftssektor, Heimat, Geschlecht und Wohngemeinde

en: Population in gainful employment by economic sector, citizenship, sex and municipality of residence


de: Datenstruktur auf Englisch

en: Data structure in English

de: Obligatorische Krankenpflegeversicherung - Staatsbeiträge in CHF bei Jahr und Empfänger

en: Compulsory health care insurance - General government contributions in CHF by Year and Recipient

health-insurers

display_name: health-insurers

krankenversicherer

display_name: krankenversicherer

heal

de: Gesundheit

en: Health

econ

de: Wirtschaft und Finanzen

en: Economy and finance

de: Obligatorische Krankenpflegeversicherung - Staatsbeiträge in CHF nach Empfänger seit 2001

en: Compulsory health care insurance - General government contributions in CHF by recipient since 2001


en: Data cube in English

de: Warenhandel bei Quartal, Warenart, Richtung und Einheit

en: Trade in goods by Quartal, Nature of goods, Traffic direction and Unit

de: Warenhandel nach Warenart und Richtung seit 1995

en: Trade in goods by nature of goods and traffic direction since 1995


en: Data structure in German

de: Wohnungen bei Jahr, Nutzungsart, Belegungsstatus, Gebäudeart und Gemeinde

en: Dwellings by Year, Purpose of use, Occupancy status, Type of building and Municipality

buildings-dwellings

display_name: buildings-dwellings

gebaude-wohnungen

display_name: gebaude-wohnungen

soci

de: Bevölkerung und Gesellschaft

en: Population and society

amt-fuer-statistik-fl

de: Amt für Statistik

de: Wohnungen nach Nutzungsart, Belegungsstatus, Gebäudeart und Gemeinde seit 2014

en: Dwellings by purpose of use, occupancy status, type of building and municipality since 2014


de: Datenwürfel auf Deutsch

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

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

tran

de: Verkehr

en: Transport

en: Office of Statistics

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

de: Personenwagenbestand nach Hubraumklasse, Leistungsklasse und Altersklasse seit 2013

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


en: Data cube in German

de: Datenwürfel auf Englisch

de: Datenstruktur auf Deutsch

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

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

fahrzeug-erstzulassungen

display_name: fahrzeug-erstzulassungen

vehicle-registration

display_name: vehicle-registration

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: Erstzugelassene Personenwagen nach Karosserie, Antriebsart und Leistungsklasse

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


de: Datenstruktur auf Englisch

en: Data structure in English

de: Arbeitsstätten bei 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

en: Economy and finance

de: Arbeitsstätten nach Wirtschaftszweig und Arbeitsgemeinde seit 2008

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


en: Data cube in English

de: Migration von Erwerbstätigen nach Jahr, Richtung, Wirtschaftszweig und Geschlecht bei Jahr, Richtung, Wirtschaftszweig und Geschlecht

en: Migration of employed persons by Year, Direction, Economic activity and Sex by Year, Direction, Economic activity and Sex

migration-binnenwanderung

display_name: migration-binnenwanderung

migration-internal-migration

display_name: migration-internal-migration

intr

fr: Questions internationales

de: Internationale Themen

en: International issues

it: Tematiche internazionali

de: Migration von Erwerbstätigen nach Richtung, Wirtschaftszweig und Geschlecht seit 2012

en: Migration of employed persons by direction, economic activity and sex since 2012


en: Data structure in German

de: Erwerbstätige ständige Bevölkerung bei 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

amt-fuer-statistik-fl

de: Amt für Statistik

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: Datenwürfel auf Deutsch

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

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

foreign-trade-in-goods

display_name: foreign-trade-in-goods

warenhandel

display_name: warenhandel

en: Office of Statistics

de: Warenhandel nach Warengruppe CPA und Richtung seit 2016

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


en: Data cube in German

de: Datenwürfel auf Englisch

de: Stimmbeteiligung bei Abstimmungen bei Abstimmung, Kennzahl und Gruppe

en: Voter turnout in referendums by Referendum, 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

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: Stimmbeteiligung bei Abstimmungen nach Abstimmung, Kennzahl und Gruppe seit 2019

en: Voter turnout in referendums by referendum, key figure and group since 2019


de: Datenstruktur auf Englisch

en: Data structure in English

de: Datenstruktur auf Deutsch

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

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

tran

de: Verkehr

en: Transport

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: 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 cube in English

de: Fachliche Einheiten und Erwerbstätige seit 2013 bei Jahr, Einheiten und Erwerbstätige und Sektor und Wirtschaftsbereich

en: Kind of activity units and employed persons since 2013 by Year, Units and employed persons and Institutional sector and economic activity

national-accounts

display_name: national-accounts

volkswirtschaftliche-gesamtrechnungen

display_name: volkswirtschaftliche-gesamtrechnungen

econ

de: Wirtschaft und Finanzen

en: Economy and finance

de: Fachliche Einheiten und Erwerbstätige seit 2013 nach Sektor und Wirtschaftsbereich

en: Kind of activity units and employed persons since 2013 by institutional sector and economic activity


en: Data structure in German

de: Ergebnisse der Vorsteherwahlen nach Jahr, Partei und Gemeinde

en: Results of mayorial elections by Year, Political party and Municpality

amt-fuer-statistik-fl

de: Amt für Statistik

de: Ergebnisse der Vorsteherwahlen nach Gemeinde und Partei seit 1975

en: Results of mayoral elections by municipality and political party since 1975


de: Datenwürfel auf Deutsch

de: Heiratende Personen bei Jahr, Geschlecht, Wohngemeinde und Wohnsitz des Partners

en: Marrying persons by Year, Sex, Municipality of residence and Partner's residence

ehen-partnerschaften

display_name: ehen-partnerschaften

marriages-partnerships

display_name: marriages-partnerships

soci

de: Bevölkerung und Gesellschaft

en: Population and society

en: Office of Statistics

de: Heiratende Personen nach Geschlecht, Wohngemeinde und Wohnsitz des Partners seit 1999

en: Marrying persons by sex, municipality of residence and partners residence since 1999


en: Data cube in German

de: Datenwürfel auf Englisch

de: Betriebe bei Jahr, Kennzahl und Grössenklasse | Zone | Region | Gemeinde

en: Holdings by Year, Key figure and Size class | zone | region | municipality

agriculture

display_name: agriculture

landwirtschaft

display_name: landwirtschaft

agri

fr: Agriculture, pêche, sylviculture et alimentation

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

en: Agriculture, fisheries, forestry and food

it: Agricoltura, pesca, silvicoltura e prodotti alimentari

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: Betriebe nach Erwerbstyp, Bewirtschaftungsart, Betriebstyp, Beitragstyp, Grössenklasse, Zone, Region und Gemeinde seit 2005

en: Holdings by employment type, farming type, business type, contribution type, size class, zone, region and municipality since 2005


de: Datenstruktur auf Englisch

en: Data structure in English

de: Datenstruktur auf Deutsch

de: Bevölkerungsbewegung der ständigen Bevölkerung nach Jahr, Geschlecht und Kennzahl bei Jahr, Geschlecht und Kennzahl

en: Population change of the permantent population by Year, Sex and Key figure by Year, Sex and Key figure

bevolkerungsbewegung

display_name: bevolkerungsbewegung

population-change

display_name: population-change

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: Bevölkerungsbewegung der ständigen Bevölkerung nach Geschlecht und Kennzahl seit 2008

en: Population change of the permanent population by sex and key figure since 2008


en: Data cube in English

de: Arealstatistik bei Jahr, Flächenkategorie und Gemeinde

en: Land use statistics by Year, Surface category and Municipality

raum-flachennutzung

display_name: raum-flachennutzung

territory-land-use

display_name: territory-land-use

envi

de: Umwelt

en: Environment

de: Arealstatistik nach Flächenkategorie und Gemeinde seit 1984

en: Land use statistics by surface category and municipality since 1984


en: Data structure in German

de: Unternehmen mit Voll- und Teilzeit-Arbeitsplätzen bei Jahr, Wirtschaftszweig, Grössenklasse und Kategorie

en: Enterprises with part- and full-time jobs by Year, Economic activity, Size class and Category

enterprises-jobs

display_name: enterprises-jobs

unternehmen-arbeitsplatze

display_name: unternehmen-arbeitsplatze

econ

de: Wirtschaft und Finanzen

en: Economy and finance

amt-fuer-statistik-fl

de: Amt für Statistik

de: Unternehmen mit Voll- und Teilzeit-Arbeitsplätzen nach Wirtschaftszweig, Grössenklasse und Kategorie seit 2001

en: Enterprises with part- and full-time jobs by economic activity, size class and category since 2001


de: Datenwürfel auf Deutsch

de: Erstzugelassene Personenwagen bei Jahr, Marke und Mittlere Kennzahlen

en: Passenger cars registered for the first time by Year, Make and Average key figures

fahrzeug-erstzulassungen

display_name: fahrzeug-erstzulassungen

vehicle-registration

display_name: vehicle-registration

tran

de: Verkehr

en: Transport

en: Office of Statistics

de: Erstzugelassene Personenwagen nach Marke sowie mittlere Kennzahlen (Leergewicht, Hubraum, Leistung, CO2-Emission, Verhältnis Leistung/Leergewicht)

en: Passenger cars registered for the first time by make and average key figures (unladen weight, cylinder capacity, engine power, CO2 emission, ratio engine power/unladen weight)


de: Datenwürfel auf Englisch

en: Data cube in German

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

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

forschung-und-entwicklung

display_name: forschung-und-entwicklung

research-and-development

display_name: research-and-development

tech

de: Wissenschaft und Technologie

en: Science and technology

amt-fuer-statistik-fl

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 Wissenschaftsbereich und Sektor seit 2019

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


de: Datenstruktur auf Deutsch

de: Berufsunfallversicherung: Beschäftigte, Lohnsumme, Unfälle und Leistungen in % nach Jahr, Wirtschaftszweig und Kennwerte der Risikodaten

accident-insurers

display_name: accident-insurers

unfallversicherer

display_name: unfallversicherer

heal

de: Gesundheit

en: Health

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: Berufsunfallversicherung: Beschäftigte, Lohnsumme, Unfälle und Leistungen in % nach Wirtschaftszweig seit 2008


de: Datenstruktur auf Englisch

en: Data structure in English

en: Data cube in English

de: Bauprojekte bei Bewilligungsquartal, Art der Arbeiten, Art der Bauwerke und Gemeinde

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

bautatigkeit

display_name: bautatigkeit

construction-activity

display_name: construction-activity

de: Bauprojekte nach Art der Arbeiten, Art der Bauwerke und Gemeinde seit 2015

en: Construction projects by type of work, type of buildings and municipality since 2015


en: Data structure in German

de: Einzelbasis - Nachrangige Bilanzpositionen bei 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

econ

de: Wirtschaft und Finanzen

amt-fuer-statistik-fl

de: Amt für Statistik

de: Einzelbasis - Nachrangige Bilanzpositionen nach Domizil seit 2017

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


de: Datenwürfel auf Deutsch

de: Erleichterte Einbürgerung infolge längerfristigem Wohnsitz bei Jahr, Vormalige Staatsbürgerschaft und Geschlecht

en: Facilitated naturalisation following long-term residence by Year, Former citizenship and Sex

einburgerungen

display_name: einburgerungen

naturalisations

display_name: naturalisations

soci

de: Bevölkerung und Gesellschaft

en: Population and society

intr

de: Internationale Themen

en: International issues

de: Erleichterte Einbürgerung infolge längerfristigem Wohnsitz nach vormaliger Staatsbürgerschaft und Geschlecht seit 2000

en: Facilitated naturalisation due to long-term residence by former citizenship and sex since 2000


de: Datenwürfel auf Englisch

en: Data cube in German

de: Erstzugelassene Fahrzeuge bei Jahr, Fahrzeuggruppe und Emissionscode gemäss EU

en: Vehicles registered for the first time by Year, Vehicle group and Emission code as per EU definition

tran

de: Verkehr

en: Transport

amt-fuer-statistik-fl

en: Office of Statistics

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

de: Erstzugelassene Fahrzeuge nach Fahrzeuggruppe und Emissionscode gemäss EU

en: Vehicles registered for the first time by vehicle group and emission code as per EU definition


de: Datenstruktur auf Englisch

de: Datenstruktur auf Deutsch

de: Scheidende Personen bei Jahr, Geschlecht und Altersklasse

en: Divorcing persons by Year, Sex and Age group

ehen-partnerschaften

display_name: ehen-partnerschaften

marriages-partnerships

display_name: marriages-partnerships

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: Scheidende Personen nach Geschlecht und Altersklasse seit 1999

en: Divorcing persons by sex and age group since 1999


en: Data structure in English

en: Data cube in English

de: Finanzielle Transaktionen Staat bei Jahr, Bilanzposition, Teilsektor und Institutionelle Einheit

en: Government financing by Year, Balance sheet item, Subsector and Institutional unit

offentliche-finanzen

display_name: offentliche-finanzen

public-finance

display_name: public-finance

gove

de: Regierung und öffentlicher Sektor

en: Government and public sector

de: Finanzielle Transaktionen Staat nach Bilanzposition, Teilsektor und institutionelle Einheit seit 2011

en: Government financing by balance sheet item, subsector and institutional unit since 2011


maintainer: Stefan Klesse

en: wood-anatomy paleoclimate temperature-reconstruction tree-ring mxd

media_type: text/csv

en:
This dataset contains data presented in Figure 2 in the paper "New Prospects for Temperature Reconstructions from Relict Wood Using Tree-Ring Anatomy".

Sample ID = Sample ID
group = living or relict wood material
Bulk wood density = volumetric measured density (kg / m^3)
Mean Tree Ring Density	= Density derived via X-ray densitometry (kg / m^3)
Cellulose_to_wood ratio = Holo-cellulose-to-wood ratio
Anatomical density = Area of cell wall / (area of cell wall + lumen area)

format: CSV

media_type: text/plain

en: This dataset contains the mean chronologies of MXD and QWA of the relict and living wood material presented in Figure 3. It also contains the JJA temperature record of the Salekhard Meteo station.

format: TXT

en: Data (Quantitative Wood Anatomy, Maximum Latewood Density, Volumetric Density, holo-cellulose-to-wood-ratio) used in the manuscript "New Prospects for Temperature Reconstructions from Relict Wood Using Tree-Ring Anatomy". Wood samples stem from Larix sibirica collected in the Yamal region, northeastern Siberia, Russia. We investigated wood properties of living trees and subfossil wood buried in riverbank sediments, dated to approximately -2760 to -2600 BCE. Our goal was to evaluate the integrity of climate proxies in sub-fossil wood and develop practical methods to detect wood degradation when reconstructing Late Holocene and Common Era climate conditions using tree-ring data.

mxd

display_name: mxd

paleoclimate

display_name: paleoclimate

temperature-reconstruction

display_name: temperature-reconstruction

tree-ring

display_name: tree-ring

wood-anatomy

display_name: wood-anatomy

educ

de: Bildung, Kultur und Sport

en: Education, culture and sport

envidat

fr: EnviDat: le portail de données environnementales

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

it: EnviDat: il portale dei dati ambientali

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

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

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

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

value: Envidat Harvester

en: Quantitative Wood Anatomy and Maximum Latewood Density from Yamal peninsula


maintainer: Michael Lehning

en: terrestrial-laser-scanning snow-conservation winter-tourism snowpack snow snow-farming

en: Fluela .sno

en: Input snow profile (.sno file) used for SNOWPACK simulations of the Flüela heap

format: SERVICE

en: Martell .sno

en: Input snow profile (.sno file) used for SNOWPACK simulations of the Martell heap

en: Fluela .smet

en: Meteodata used as input for SNOWAPCK simulations, orginating from Station Windtunnel and DAV.

en: HS Martell autumn 2015

en:
Snow depth/ height of snow heap in autumn 2015 obtained by terrestrial laserscanning
cell size: 10 cm
spatial reference: European Datum 1950 UTM
Nodata: -9999

mimetype: text/plain

en: Martell .smet

en: Meteodata used as input for SNOWAPCK simulations, orginating from Station Hintermartell.

en: HS Martell spring 2015

en:
Snow depth/ height of snow heap in spring 2015 obtained by terrestrial laserscanning
cell size: 10 cm
spatial reference: European Datum 1950 UTM
Nodata: -9999

en: HS Fluela autumn 2015

en:
Snow depth/ height of snow heap in autumn 2015 obtained by terrestrial laserscanning
cell size: 10 cm
spatial reference: CH1903
Nodata: -9999

en: HS Fluela spring 2015

en:
Snow depth/ height of snow heap in spring 2015 obtained by terrrestrial laserscanning
cell size: 10 cm
spatial reference: CH1903

en:
Two data sets obtained for snow farming projects (Fluela, Davos, CH and Martell, IT) in 2015.

The data set contains for each site:

* 10 cm GIS raster of snow depth calculated from terrestrial laserscanning surveys (TLS) in the end of winter season (April/May)

* 10 cm GIS raster of snow depth calculated from TLS in the end of summer season (October)

Input files for SNOWPACK model:

* .sno: snow profile at the end of winter

* .smet: meteorological data measured by weather stations in the area

For more details see Grünewald, T., Lehning, M., and Wolfsperger, F.: Snow farming: Conserving snow over the summer season, The Cryosphere Discuss., https://doi.org/10.5194/tc-2017-93, in review, 2017.

snow

display_name: snow

snow-conservation

display_name: snow-conservation

snow-farming

display_name: snow-farming

snowpack

display_name: snowpack

terrestrial-laser-scanning

display_name: terrestrial-laser-scanning

winter-tourism

display_name: winter-tourism

en: Snowfarming data set Davos and Martell 2015


maintainer: EnviDat Support

en: landscape-services switzerland statistical-model land-use-change urbanization modeling land-use

en: Scripts for Assessing potential landscape service trade-offs driven by urbanization in Switzerland

media_type: application/zip

en:
Scripts ordered by their main purpose within sequential folders in this ReadMe marked with

Within the folders the capital letters refer to the parallel or sequential use of the scripts; scripts here in ReadMe are marked with

 00_Function Scripts
 Functions.r
Script containing several functions for analyzing statistical models: cohen.kappa, meva.table, D2, max-Tss, plot-TSS

 Service_functions.R
Script containing functions for calculating all services and returning sums (and median for bd and rec) as well as rasters

 01_Data Preparation
 A_AS_raster_preparation.R
Preparation of the land use rasters for the years 1985, 1997, and 2009 based on the original Arealstatistik (AS/ASCH); Assigning our categories and assining new values to all "construction sites" for calibrating the models
For model projection starting point (2009) and for service calculations (all ASCH years) the "other" categories were assigned to the land use categories based on dominant neighbor, so that there were no empty cells
Creation of water & mountainous area raster that stayed stable throughout the projections
Creation of MFH raster (2009), to have as base for all new projection years, as this category never becames any other

 B_Factors_preparation.R
Preparation of the factor rasters that were used to calculate service values per cell (see Table 2): LWfactor, Transportation, Vol, Rivers, Lakes, slope, TWW, Hazard_risk

 B_Predictors_preparation.R
Preparation of the raster of the predictors used for calibrating (ASCH years) and projecting (stable) the transition models that do not depend on the land use categories: Temperature (ASCH years), solar radiation (stable), Public transportation access (stable), Elevation (stable), Workers density (ASCH years), Population change (ASCH transitions)

 B_Regions_preparation.R
Preparation of bioregions as raster to be used to mask asxxxx later to calculated services and land use area just for one region

 C_Pred_proj.R
Projecting the dynamic predictors into the future for projecting the land use transitions with the model: Linear extrapolations for workers densities and population; more detailed extrapolation of temperature (based on data for all stations that matched between the temp table we used for the calibration period and the projections from CS2M, and then making a spatial interpolation for all years based on the interpolation of temperature for all years per station)

 02_Model calibration
 A_Bioreg_pred_corr.R
Calculating correlation between the predictors for each bioregion and land use category, Output are those with too high correlation so that one predictor can be removed from transitions were both predictors occur

 A_trans_numbers_bioreg.R
Calculate transition numbers for each bioregion to decide which transitions to primarily consider

 B_Bioreg_ext_eval.R
Calculating TSS based on the external evaluation for the bioregion transitions that happened often enough to try to model them (calibration data: 85-97, evaluation data: 97-09)

 B_Bioreg_int_eval.R
Calculating TSS based on the internal evaluation for the bioregion transitions that happened often enough to try to model them (calibration data: 70%, evaluation data: 30%)

 C_Bioreg_TSS_analysis.R
Extracting TSS numbers from internal and external evaluation, calculating mean and median for each transition for each region for each evaluation method and saving as csv per region to be able to select only the transitions with high enough model performance

 D_Bioreg_Models_for_prediction.R
Calibration of the models that were then used to project land use transitions into the future; calibrated separately for each bioregion

 E_Residuals_trans_models.R
Calculation of Moran's I statistics to analyze the residuals of the land use transition models

 03_Projections
 A_Bioreg_Projections_run.R
Master script for: Extrapolaitng into the future with the regional models and then assembling for each time step to calculate new AS predictors; Several Outputs: txt file to test for NAs in Predictors, txt file with random seed number for sampling, txt file with times for calculation steps (check progress of script while running), csv sheet with projected transition frequencies, tif-rasters for every region and time step, pdf with raster plot for every region and time step

 04_Service calculation
 A_Bioreg_as_services.R
Calculate services per bioregion for years 1985, 1997, 2009

 A_Service_calculation_bioregions.R
Extracting service numbers(sums) per bioregions for all projection runs and storing them in a list of matrixes to be available for further plotting; can be run for swiss wide projections or regional ones

 05_Analysis
 A_Bioreg_ASCH_development.R
Extracting the occurrence of each category per region for all runs (first part), then for ASCH years, and then plotting them nicely; only works for regional projections

 A_Bioreg_Predictors_importanceD2.R
Calculating D2 for each transition and each considered predictor from bivariate models to get value of importance

 B_Bioreg_Pred_imp_analysis.R
Using calculated D2 to sort Predictors according to their importance for each transition

 A_Bioreg_Spatial_results_analysis.R
Plotting randomly sampled runs for ASCH and services to analyses their spatial development

 A_Bioreg_Transition_numbers_check_v1.R
Analyzing the frequency for all transitions for all regions and producing the point plots for each transition separately

 A_Bioreg_Transition_numbers_check_v2.R
Analyzing percentage and numbers of all transitions but plotting them per region and originating ASCH category

 B_Transition_Analysis.R
Further Analysis of transition numbers

 A_Service_analysis.R
Plotting of the service development for bioregions in several ways for analyzing

format: ZIP

mimetype: application/zip

en: Data for Assessing potential landscape service trade-offs driven by urbanization in Switzerland

en:
The provided folder structure follows the set up of the scripts.
Data is only provided when it has been fully produced by us, otherwise dummies are given.
For data that will be produced by one of the scripts, no dummies are given.
The folders may contain sub-folders, which would be filled if the scripts were all run

 00_Analysis_Data
Data produced throughout the process of the calibration and projection that is later needed for analysis

 01_Raw_Data
Primary data from external sources that were used to compile the rasters and numbers used during the calibration and projection of landscape transitions as well as service calculation

 02_Prepared_Data
Data that will be prepared for further use by scripts are put in here
Additionally it contains the parameter sheets for the transition predictors that we compiled

 03_Model_Data
 Model outputs
Folder were the projection models statistics will be saved
 Models
Folder into which the actual transition models will be saved
 Residuals
Folder into which data on models residuals will be saved for future use

 04_Projected_Data
The output of the projections will be saved into this folder

 05_Service_Data
Any service calculations will be saved in here

 06_Results_Analysis
Any Analysis plots and tables as well as intermediate data will be saved here in the respective sub-folder

en:
Data and scripts of publication:

Madleina Gerecke, Oskar Hagen, Janine Bolliger, Anna M. Hersperger, Felix Kienast, Bronwyn Price, Loïc Pellissier (2019) Assessing potential landscape service trade-offs driven by urbanization in Switzerland. Palgrave communications.

Contains land use projections for Switzerland and scripts and data for these projections as well as the calculation of landscape services.

Data Folder:
Contains sub-folder with the data necessary for this study (provided were no copyright issues, otherwise placeholders with descriptions), and folders where produced data may be stored

Scripts Folder:
Contains scripts organized into subfolders depending on their purpose

Note: Some abbreviations within the scripts and data are derived from German words and not English.

land-use

display_name: land-use

land-use-change

display_name: land-use-change

landscape-services

display_name: landscape-services

modeling

display_name: modeling

statistical-model

display_name: statistical-model

switzerland

display_name: switzerland

urbanization

display_name: urbanization

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: Land use projections and services for Switzerland


en: model-validation-data model-calibration-data snow-water-equivalent snow-depth snow-density

en: swe2hs calibration and validation data

en:
 Contents of this archive

 README.md

 A readme file containing a description of the other files.

 automatic_stations_validation_data.csv

 Daily data from the automatic weather stations used for validation.

 Data sources and providers are listed in the SWE2HS paper, Table 1.

 Columns:

  * date: timestamp of the format YYYY-MM-DD
  * HS_[m]: snow depth in [m]
  * SWE_[m]: snow water equivalent in [m]
  * site_id: code for the measurement site
  - HS_interpolated: boolean flag for interpolated values
  - SWE_interpolated: : boolean flag for interpolated values

 coordinates_swe2hs_paper_stations.csv

 Coordinates of all measurement sites used in the SWE2HS paper.

 Columns:

  * site_id: code for the measurement site
  * location_name: location name of the measurement site
  * lon_[wgs84]: longitude in WGS84
  * lat_[wgs84]: latitude in WGS84
  * elevation_[m]: atitude of the measurement site in [m]
  * dataset: dataset in which the station is included

 manual_station_calibration_data.csv

 Calibration data from the Swiss manual observer stations. Long station records
 trmmed to 15 random water-years.

 Columns:

  * date: timestamp of the format YYYY-MM-DD
  * HS_[m]: snow depth in [m]
  * SWE_[m]: snow water equivalent in [m]
  * SWE_from_profile_[m]: biweekly measurement from the SWE in the measurement
   pit. Corrected with the bulk density in order to match the snow depth from
   the measurement stake. Please refer to the paper for further details.
  * site_id: code for the measurement site

 manual_stations_validation_data.csv

 Validation data from the Swiss manual observer stations. Remaining water-years
 from the long sttaion record not used for the calibration data.

 Columns:

  * date: timestamp of the format YYYY-MM-DD
  * HS_[m]: snow depth in [m]
  * SWE_[m]: snow water equivalent in [m]
  * SWE_from_profile_[m]: biweekly measurement from the SWE in the measurement
   pit. Corrected with the bulk density in order to match the snow depth from
   the measurement stake. Please refer to the paper for further details.
  * site_id: code for the measurement site

 manual_stations_used_deltasnow_parameters.csv

 Site specific DeltaSNOW model parameters used for the calculation of the daily
 SWE series in 'manual_stations_calibration_data.csv' and
 'manual_stations_validation_data.csv'.

 Parameters were optimized by reducing RMSE to the biweekly snow pit SWE measurements.
 Please refer to the paper for further details.

 A python implementation of the DeltaSNOW model was used for the calculation:
 pydeltasnow (https://pypi.org/project/pydeltasnow/)

 For a detailed description of the DeltaSNOW model parameters please see the
 respective publication:

 Winkler, M., Schellander, H., & Gruber, S. (2021). Snow water equivalents
 exclusively from snow depths and their temporal changes: the Δ snow model.
 Hydrology and Earth System Sciences, 25(3), 1165-1187.

 Columns:

  * site_id: code for the measurement site
  * rho_max: Maximum density of an individual snow layer produced by the DeltaSNOW model in [kg/m3]
  * rho_null: Fresh snow density for a newly created layer [kg/m3
  * c_ov: Overburden factor due to fresh snow [-]
  * k_ov: Defines the impact of the individual layer density on the compaction due to overburden [-]
  * k: Exponent of the exponential-law compaction [m3/kg]
  * tau: Uncertainty bound [m]
  * eta_null: Effective compactive viscosity of snow for “zero-density” [Pa s]

en:
The data in this repository was used for the calibration and validation of the
SWE2HS model in the following publication:
Aschauer, J., Michel, A., Jonas, T., & Marty, C. (2023). An empirical model to calculate snow depth from daily snow water equivalent: SWE2HS 1.0. Geoscientific Model Development Discussions, 1-19. https://doi.org/10.5194/gmd-2022-258
Contains daily snow water equivalent and snow depth timeseries from stations in the European Alps.

model-calibration-data

display_name: model-calibration-data

model-validation-data

display_name: model-validation-data

snow-density

display_name: snow-density

snow-depth

display_name: snow-depth

snow-water-equivalent

display_name: snow-water-equivalent

en: SWE2HS model calibration and validation data


data-interactive-avalanche-segmentation

maintainer: Elisabeth D. Hafner

title_for_slug: data-interactive-avalanche-segmentation

en: snow avalanche segmentation deep-learning interactive

en:
Images and corresponding avalanche annotations used for interactive avalanche segmentation:
SLF train, vali and test
WebNew
GroundPic
UserPic
UIBK dataset: List of images used
Pictures are from SLF (mostly from the Dischma Cams) if not otherwise indicated. If used, the data needs to be properly cited!

avalanche

display_name: avalanche

deep-learning

display_name: deep-learning

interactive

display_name: interactive

segmentation

display_name: segmentation

snow

display_name: snow

en: Data interactive avalanche segmentation


en: meteorological-data rain-on-snow catchment-data snowpack snow-hydrology

en: The file contains all data needed to run simulations with the snow cover model SNOWPACK.

en: Meteorological data used to run SNOWPACK for 58 catchments in the Swiss Alps. The data consists of a 2 km grid of "virtual meteorological stations" for each catchment. It was used to simulate snow cover processes during rain-on-snow events, therefore meteorological data of each catchment contains at least one rain-on-snow event. Further information can be found in the attached readme.txt and in Würzer & Jonas et al. (2017), currently under review in Hydrological Processes.

catchment-data

display_name: catchment-data

meteorological-data

display_name: meteorological-data

rain-on-snow

display_name: rain-on-snow

snow-hydrology

display_name: snow-hydrology

snowpack

display_name: snowpack

en: Meteorological data for investigation of rain-on-snow events in 58 catchments in Switzerland


irkis-soil-moisture-measurements-davos

maintainer: Nander Wever

title_for_slug: irkis-soil-moisture-measurements-davos

en: meteo-station soil-moisture dischma-catchment meteorological-measurements davos

en: IRKIS soil moisture data (zip file)

en: Compressed archive (zip) containing soil moisture measurements, as well as meteorological measurements and interpolated meteorological time series.

en:
Meteorological and soil moisture measurements from soil moisture stations installed from October 2010 - October 2013 in the area surrounding Davos, in particular in the Dischma catchment.

There are in total 7 stations: 1202, 1203, 1204, 1205, 222, 333 and SLF2. For each of the stations, there is a:

* vwc_[stn].smet: containing the soil moisture measurements

* station_[stn].smet: in-situ measured meteorlogical parameters. Note, the quality of these measurements for stations 1202, 1203, 1204 and 1205 is very low, with data gaps. Use this data with care. For stations 222, 333 and SLF2, data quality is high and only the default cautiousness should be applied.

* interpolatedmeteo_[stn].smet contains per stations a dataset derived by interpolating from several stations in the Davos area to the stations location. This dataset was generated from the output of the Alpine3D model, of which simulations are presented in the Wever et al. (2017) manuscript.

At the soil moisture measurement sites, Decagon 10HS sensors were installed, at 10, 30, 50, 80 and 120 cm depth. Per depth 2 sensors were installed, labelled A and B in the datafiles. Note that at stations 1203, 1204 and 1205, sensors were only installed at 10, 30 and 50 cm depth.

The files follow the SMET format: https://models.slf.ch/docserver/meteoio/SMET_specifications.pdf and metadata for the stations can be found in the header of the smet files.

Please cite the Wever et al. (2017) reference when using this data in publications.

For a more detailed description, please refer to: Wever, N., Comola, F., Bavay, M., and Lehning, M.: Simulating the influence of snow surface processes on soil moisture dynamics and streamflow generation in an alpine catchment, Hydrol. Earth Syst. Sci., 21, 4053-4071, https://doi.org/10.5194/hess-21-4053-2017, 2017.

davos

display_name: davos

dischma-catchment

display_name: dischma-catchment

meteo-station

display_name: meteo-station

meteorological-measurements

display_name: meteorological-measurements

soil-moisture

display_name: soil-moisture

en: IRKIS Soil moisture measurements Davos


disdrometer-data-davos-wolfgang

title_for_slug: disdrometer-data-davos-wolfgang

en: disdrometer fall-velocity raclets davos precipitation

en: Disdrometer Data Davos Wolfgang

en:
The zip folder contains one netCDF file per day for Davos Wolfgang from February 8 to March 19 2019 with a temporal resolution of 30 seconds (time in UTC) and includes:

- characteristics of hydrometeors (e.g. diameter, fall velocity, amount per diameter class,...)
- precipitation rate
- radar reflectivity
- visibility range
- weather codes
- instrument performance

en: The dataset contains information on precipitation amount and type for Davos Wolfgang (LON: 9.853594, LAT: 46.835577) from February 8 to March 19 2019. It includes: characteristics of hydrometeors (e.g. diameter, fall velocity, amount per diameter class,...), precipitation rate, radar reflectivity, visibility range, weather codes and instrument performance.

disdrometer

display_name: disdrometer

fall-velocity

display_name: fall-velocity

precipitation

display_name: precipitation

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.


dischmex-meteorological-measurements

maintainer: Rebecca Mott

title_for_slug: dischmex-meteorological-measurements

en: meteorological-data meteo-station meteorological-measurements dischmex dischma

en: Meteorological measurement 2015

en: Overview sensors

format: XLS

en: data

media_type: application/pdf

en: Location of the meteorological stations

format: PDF

mimetype: application/pdf

en: Meteorological measurement 2014

en: Meteorological measurements 2014

en: Meteorological measurements 2016

en:
Meteorological measurements recorded in the Dischma valley from 2014-2016. In 2014 and 2015 we used 11 mobile weather stations from sensorscope to record meteorological parameter in the upper Dischma valley in the closer surroundings of the Gletschboden area. The meteorological stations are eqiupped with at least air temperature/humidity, wind velocity and wind direction sensors. Some stations are additionally equipped with precipitation, shortwave radiation and snow surface temperature sensors.
Three transects were installed at different aspects and were equipped with air temperature/humidity and wind sensors. Transect 1 (stations 2-4) provides meteorological Information on an east-north-east facing slope at elevations ranging between 2100 m and 2500 m. Transect 2 (stations 5-7) provides meteorological Information on a south-west slope and transect 3 (stations 8-10) on a north-west slope. Station 1 is fully equipped with meteorological sensors (temperature/humidity, wind, IR, up and downwand shortwave radiation and precipitation).
In 2016, mobile stations from sensorscope were replaced with six permanent meteorological stations. Meteorological stations 1-3 are equipped with an air temperature/humidity sensor, two wind speed sensors, a wind direction sensor and an incoming and outgoing shortwave radiation sensor. Stations 4 and 6 are equipped with an air temperature/humidity sensor and a wind speed/direction sensor. Station 5 is a equipped with an air temperature/humidity sensor, a wind speed/direction sensor, a snow surface temperature sensor, an incoming and outgoing shortwave radiation sensor and an incoming longwave radiation sensor.

dischma

display_name: dischma

dischmex

display_name: dischmex

en: DISCHMEX - Meteorological measurements


en: forest picea-abies face co2 soil nitrogen

en: Resin bags

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

mimetype: text/csv

en: Collection points

en: Collection points under the trees

en: Collection of soil solution

en: Soil solution collected by suction cups

en: Soil C and N

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

en: Gross N mineralisation and nitrification

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

en: Water analyses

en: Analyses of water, especially soil solution

en: Data obtained in the free-air CO2 enrichment (FACE) experiment at Hofstetten, NW Switzerland, between 2009 and 2016. This dataset contains analyses of the soil solution throughout the experiment, especially for nitrate, as well as different analyses done at the end of the experiment: ammonium and nitrate captured by ion-exchange resin bags and extracted from soil cores, gross N mineralisation and nitrification measured by isotope dilution.

face

display_name: face

forest

display_name: forest

nitrogen

display_name: nitrogen

picea-abies

display_name: picea-abies

soil

display_name: soil

en: Nitrogen availability under trees exposed to CO2 enrichment (FACE)


backward-trajectories

maintainer: Michael Sprenger

title_for_slug: backward-trajectories

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

en: Backward Trajectories

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.

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

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: Backward  Trajectories


en: phytodiversity hypervolume habitat-heterogeneity hengduan-mountains model-residuals

en: Plant range map at Hengduan scale

en: This is the plant range map at the Hengduan mountain scale based on species distribution model, elevation, and county level distribution information

en: Eurasia SR and heteorgeneity

en: This table is used for the Eurasia scale analyses, including both family level species richness map and different heterogeneity predictors

en: Eurasia plant family richness map

en: This is the plant family level richness map at the Eurasia scale calculated from https://www.nature.com/articles/s41597-021-00997-6

en: HDM heterogeneity scales

en: The Heterogeneity matrics in the Hengduan mountain scale

en: Hengduan plant family richness map

en: This is the family level plant richness map in the Hengduan mountain scale at 1km resoution

en: This research data is used to re includes 1 km resolution seed plant species range maps for the Hengduan mountain region (southwest China), elevation information for each species, family-level plant richness data, and habitat heterogeneity data at both Eurasia and Hengduan mountain regions. This research data includes 1 km resolution seed plant species range maps for the Hengduan mountain region (southwest China), elevation information for each species, family-level plant richness data, and habitat heterogeneity data at both Eurasia and Hengduan mountain regions.

habitat-heterogeneity

display_name: habitat-heterogeneity

hengduan-mountains

display_name: hengduan-mountains

hypervolume

display_name: hypervolume

model-residuals

display_name: model-residuals

phytodiversity

display_name: phytodiversity

en: Phytodiversity is associated with habitat heterogeneity from Eurasia to Hengduan


en: radar illgraben pulse-doppler analysis debris-flow 3d-lidar

en: LiDAR and PD radar data as well as camera videos of the 30 June 2022 debris flow at the Illgraben (Switzerland).

analysis

display_name: analysis

debris-flow

display_name: debris-flow

illgraben

display_name: illgraben

pulse-doppler

display_name: pulse-doppler

radar

display_name: radar

educ

en: Education, culture and sport

en: Dataset for "Sorting and Surging 3D LiDAR and Pulse-Doppler Radar Analysis of a Natural Debris Flow"


maintainer: Valentina Vitali

en: isotopes pfynwald tree-rings tree-ring-cellulose scots-pine pinus-sylvestris dendrochronology

en: Read me file.docx

en: Isotope measurements of tree-level tissues for the vegetative season 2019.

en:
Data from a 17-year-long irrigation experiment (Pfynwald, Switzerland) in a naturally dry forest dominated by 100-year-old pine trees (Pinus sylvestris). This dataset includes measure tree-ring width and tree-ring isotope chronologies (stable isotope ratios of non-exchangeable hydrogen δ2H, oxygen δ18O, and carbon δ13C), for the Pfynwald experiment, including control trees, irrigation and irrigation-stop treatments until the year 2019.

This dataset contains all data on which the following publication below is based.
Please cite this paper together with the citation for the datafile.

dendrochronology

display_name: dendrochronology

isotopes

display_name: isotopes

pfynwald

display_name: pfynwald

pinus-sylvestris

display_name: pinus-sylvestris

scots-pine

display_name: scots-pine

tree-ring-cellulose

display_name: tree-ring-cellulose

tree-rings

display_name: tree-rings

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: Pfynwald 2019 - Dendrochronological and tree-ring isotope dataset


maintainer: Mountain Hydrology and Mass Movements

en: earthquake-fatalities debris-flow-fatalities rockfall-fatalities windstorm-fatalities lightning-fatalities flood-fatalities natural-hazard-fatalities landslide-fatalities ice-avalanche-fatalities

en: Natural hazard fatalities per year in Swizterland since 1946.

en:
This dataset contains the number of fatalities due to flood, debris flow, landslide, rockfall, windstorm, lightning, ice avalanche, earthquake and other processes like roof avalanche or lacustrine tsunami for each year since 1946.
The following information is contained (by column and column title):

* year
* total number of hazard fatalities
* number of fatalities by flood (German: Hochwasser, Überschwemmung). Flood includes people drowned in flooded or inundated areas or carried away in streams under high-water conditions.
* number of fatalities by debris flow (German: Murgang).
* number of fatalities by landslide (German: Erdrutsch). Landslide includes people killed by landslides and hillslope debris flows (German: Hangmure).
* number of fatalities by rockfall (German: Steinschlag, Fels- und Bergsturz).
* number of fatalities by windstorm (German: Sturm). Windstorm includes people killed by falling objects or trees during very strong wind conditions and people who drowned in lakes because their boat capsized during such conditions.
* number of fatalities by lightning (German: Blitz).
* number of fatalities by ice avalanche (German: Eislawine).
* number of fatalities by earthquake (German: Erdbeben).
* number of fatalities by other processes like roof avalanche, lacustrine tsunami (German: andere Prozesse wie Dachlawine, Tsunami im See).

The data was collected based on newspaper research. For more information please refer to

_Badoux, A., Andres, N., Techel, F., and Hegg, C.: Natural hazard fatalities in Switzerland from 1946 to 2015, Nat. Hazards Earth Syst. Sci., 16, 2747-2768, https://doi.org/10.5194/nhess-16-2747-2016, 2016._

The data collection is financed by the FOEN (with exception of the collection of the avalanche fatalities). The data contains the official statistics of the FOEN on fatalities due to flood, debris flow, landslide, rock fall and avalanche.

Restrictions: The data set is not complete. Only fatalities in or around settlements and on open transportation routes are included. More precisely, fatalities were not collected, when persons exposed themselves to a great danger on purpose. Or fatalities during leisure activities which are connected to a higher risk were not included (this includes e.g. canoeing or river surfing during flood, canyoning, mountaineering, climbing, walking or driving on a closed road).

Fatalities by avalanches are collected at the WSL Institute for Snow and Avalanche Research SLF. You can download the avalanche fatalities per hydrological year [here](https://www.envidat.ch/dataset/avalanche-fatalities-switzerland-1936) and per calendar year [here](https://www.envidat.ch/dataset/avalanche-fatalities-per-calendar-year-since-1936). For a direct comparison with the fatalities presented here, please download the data set with the calendar years and do not consider fatalities in the backcountry (tour) or in terrain close to ski areas (offpiste).

debris-flow-fatalities

display_name: debris-flow-fatalities

earthquake-fatalities

display_name: earthquake-fatalities

flood-fatalities

display_name: flood-fatalities

ice-avalanche-fatalities

display_name: ice-avalanche-fatalities

landslide-fatalities

display_name: landslide-fatalities

lightning-fatalities

display_name: lightning-fatalities

natural-hazard-fatalities

display_name: natural-hazard-fatalities

rockfall-fatalities

display_name: rockfall-fatalities

windstorm-fatalities

display_name: windstorm-fatalities

en: Number of natural hazard fatalities per year in Switzerland since 1946


maintainer: Zhao

en: land-dynamics austin planning driving-factors urban-land-use

en: Potential driving factors of urban transformations of Austin over 25 years

en: In this study, the Austin metropolitan area, Texas, U.S., one of the fastest urban transformations and transformations regions, is selected to test the hypothesis that spatial planning and policies are important factors of urban transformations. Despite ample previous work in understanding the interactions between human and urban form transformation at specific areas, the actual interventions and outcomes of planning and policies (e.g., ‘smart growth’) on urban forms have been poorly measured. In this study, the potential influencing factors of urban transformations of Austin over 25 years were selected and collected.

austin

display_name: austin

driving-factors

display_name: driving-factors

land-dynamics

display_name: land-dynamics

planning

display_name: planning

urban-land-use

display_name: urban-land-use


maintainer: Frank Techel

en: alps observations shapefile avalanches snow

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

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

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

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

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

alps

display_name: alps

avalanches

display_name: avalanches

observations

display_name: observations

shapefile

display_name: shapefile

snow

display_name: snow


maintainer: Andrin Caviezel

en: stonenodedata rockfall dem sensor-stream stonenode natural-hazards induced-rockfall deposition-points rockfall-runout rockfall-experiments

en: StoneNode v1.0 Data for equipped experimental Runs.

en: Corresponding StoneNode v1.0 data streams belonging to the deposition points.

en: Induced Rockfall Data, Tschamut, GR

en:
 Induced Rockfall Experimental Data, Tschamut, GR, Switzerland

The archive contains site specific geographical data as well as the deposition points of manually induced rockfall by releasing differently shaped boulders with 30–80 kg of mass. Additionally availabe are the StoneNode v1.0 sensor streams for the equipped rocks.

The _OverviewFigures_ file serves as quick representation of the included data. It also contains the overview table for the rock masses in order to set the dimensions accordingly in RAMMS::ROCKFALL.

The archive contains the following folders:
<\ul>
* DEM: ArcGIS compatible DEM Tschamut_DEM_2m (grid resolution of 2 m) as well as the .asc grid used in RAMMS::ROCKFALL simulations
* _DepositionPoints_: containing two folders _RF Tschamut Frozen_ and _RF Tschamut WET_ containing each a shapefile with the complete deposition data of each series as well as deposition shapfiles for each rock shape.
* _DigitizedRocks_: Digitized point clouds of the used rocks as used for RAMMS::ROCKFALL simulations (.pts files) (dimensions have to be checked).
* _Orthofoto_: Orthophoto of the experimental site obtained via UAV with 5 cm resolution.

en:
 Dataset of an experimental campaign of induced rockfall in Tschamut, Grisons, Switzerland.

The data archive contains site specific geographical data such as DEM and orthophoto as well as the deposition points of manually induced rockfall by releasing differently shaped boulders with 30–80 kg of mass. Additionally available are all the StoneNode data streams for rocks equipped with a sensor. The data set consists of

* Deposition points from two series (wet (27/10/2016) and frozen (08/12/2016) ground)
* Digital Elevation Model (grid resolution 2 m) obtained via UAV
* Orthophoto (5 cm resolution) obtained via UAV
* Digitized rock point clouds (.pts input files for RAMMS::ROCKFALL)
* StoneNode v1.0 raw data stream for equipped rocks.

Further information is found in

* A. Caviezel et al., _Design and Evaluation of a Low-Power Sensor Device for Induced Rockfall Experiments_, IEEE Transactions on Instrumentation and Measurement, 2018, 67, 767-779, http://ieeexplore.ieee.org/document/8122020/
* P. Niklaus et al., _StoneNode: A low-power sensor device for induced rockfall experiments_, 2017 IEEE Sensors Applications Symposium (SAS), 2017, 1-6, http://ieeexplore.ieee.org/document/7894081/

dem

display_name: dem

deposition-points

display_name: deposition-points

induced-rockfall

display_name: induced-rockfall

natural-hazards

display_name: natural-hazards

rockfall

display_name: rockfall

rockfall-experiments

display_name: rockfall-experiments

rockfall-runout

display_name: rockfall-runout

sensor-stream

display_name: sensor-stream

stonenode

display_name: stonenode

stonenodedata

display_name: stonenodedata

educ

en: Education, culture and sport

en: Induced Rockfall Dataset (Small Rock Experimental Campaign), Tschamut, Grisons, Switzerland


maintainer: Albrecht von Boetticher

en: interfoam natural-hazard murgang shallow-landslide debris-flow hangmuren barrier-impact-simulation dberisintermixing finite-volumes

en: Installation Instructions for debrisInterMixing-6

en: These are the installation instructions for debrisInterMixing6

en:
This version of debrisInterMixing is based on OpenFOAM Version 4.x and was tested on Ubuntu 18.04.1 LTS.
Please follow the instructions given in ReadMe_debrisInterMixing4.pdf for installation.

en: These are the installation instructions for debrisInterMixing4

en: debrisInterMixing for OF-Version 6

en:
Please install OpenFOAM 7 on a UBUNTU Linux system following the instructions given in readme_debrisintermixing-7.pdf
After a successful OpenFOAM installation, copy the applications-Folder from putMyContent-.zip into the OpenFOAM-User directory and follow the instructions in readme_debrisintermixing-7.pdf to install debrisInterMixing 7.

If you use UBUNTU 24-04 you might have troubles getting openmpi, I attached a modifiesd instruction installtionOF7Ubuntu20.04.5LTS.txt for a workaround.

en:
Here debrisInterMixing until version 7 is provided for download. Further versions as well as installation instructions and tutorials and discussion forums (mostly in german) can be acessed at murgang.org (choose "als Gast anmelden" and then scroll to the bottom). The first OpenFoam-compatible Version 2.3.x are available as supplement to v. Boetticher, A., Turowski, J. M., McArdell,W. B., Rickenmann, D., Hürlimann, M., Scheidl, C., and Kirchner, J. W.: DebrisInterMixing-2.3: A Finite Volume solver for three dimensional debris flow simulations based on two calibration parameters. Part two: model validation with experiments. Geoscientific Model Development, 10, 11: 3963-3978. doi: 10.5194/gmd-10-3963-2017.
DebrisInterMixing is a Volume-of-Fluid based Finite Volume code that accounts for shear-thinning sensitive shares of fine sediment suspension together with pressure-sensitive components of the gravel grains within debris flow mixtures. All model properties can be derived from a material sample except for a grid-sensitive calibration parameter.
For more information, please contact albrecht.vonboetticher@wasserbau.ch.

For a recent summary on applications see the DFHM8 contribution at https://www.e3s-conferences.org/articles/e3sconf/abs/2023/52/e3sconf_dfhm82023_02024/e3sconf_dfhm82023_02024.html - DOI: https://doi.org/10.1051/e3sconf/202341502024

UPDATE: DebrisInterMixing for OpenFOAM-7 is available, please contact albrecht.vonboetticher@wasserbau.ch. DebrisInterMixing with OpenFOAM-10 is ready but not yet validated.

barrier-impact-simulation

display_name: barrier-impact-simulation

dberisintermixing

display_name: dberisintermixing

debris-flow

display_name: debris-flow

finite-volumes

display_name: finite-volumes

hangmuren

display_name: hangmuren

interfoam

display_name: interfoam

murgang

display_name: murgang

natural-hazard

display_name: natural-hazard

shallow-landslide

display_name: shallow-landslide

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: Three-dimensional debris flow simulation tool debrisInterMixing


urban-birds-point-counts-data

title_for_slug: urban-birds-point-counts-data

en: biodiversity environmental-gradients spatially-distributed-sampling birds urban periurban

en:
The study area included the cities of Basel, Lugano and Zurich. The sampling design reflected four main city districts related to four categories of tree cover (Figure 1): 1) industrial/commercial areas, 0-20% tree cover; 2) residential areas, 20-40% tree cover; 3) urban parks and cemeteries, 40-60% tree cover; 4) peri-urban forests (natural/semi-natural forests), 60-100% tree cover. The tree cover gradient was evaluated across a square grid with a square side length of 100 m. For each square, we evaluated the area covered by urban trees using the Urban Atlas Street Tree Layer 2018 (European Union’s Copernicus Land Monitoring Service information, 2021).
In each city, we established eight transects of 1.2 km, two for each tree cover category. Transects crossed contiguous grid squares belonging to the same tree cover categories as much as possible. We performed aural-visual point counts of birds every 200 m along each transect (six points per transect) during the breeding season (April-June 2024) (Bibby et al., 2000). The transects were walked at the time of highest activity of birds, which is from thirty minutes after sunrise until 4 hours later. Each transect was walked twice, 20-60 days apart, to account for imperfect detection of birds and sample completeness (Balestrieri et al., 2017; Kéry et al., 2005).

biodiversity

display_name: biodiversity

birds

display_name: birds

environmental-gradients

display_name: environmental-gradients

periurban

display_name: periurban

spatially-distributed-sampling

display_name: spatially-distributed-sampling

urban

display_name: urban

en: Urban birds point counts data


global-cryosphere-watch-data-survey

maintainer: Mathias Bavay

title_for_slug: global-cryosphere-watch-data-survey

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

en: Data interoperability survey

en: Third party data usage

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

automatic-publication

display_name: automatic-publication

data-exchange

display_name: data-exchange

data-portal

display_name: data-portal

data-usage

display_name: data-usage

gcw

display_name: gcw

en: Global Cryosphere Watch data survey