de: Personenwagenbestand bei Stichtag, Treibstoffart, Gesamtgewichtsklasse und Leistungsklasse

en: Licensed passenger cars by Reference date, Type of fuel, Maximum gross weight class  and Engine power class

de: Personenwagenbestand nach Treibstoffart, Gesamtgewichtsklasse und Leistungsklasse

en: Licensed passenger cars by type of fuel, maximum gross weight class and engine power class


$oid: OBSOLETE

de: Kennzahlen und Resultate der Abstimmungen auf Landesebene bei Abstimmung, Gemeinde und Kennzahl

en: Key figures and results of referendums on national level by Referendum, Municipality and Key figure

de: Kennzahlen und Resultate der Abstimmungen auf Landesebene nach Abstimmung und Gemeinde seit 1919

en: Key figures and results of referendums at national level, by referendum, municipality and key figure since 1919

amt-fuer-statistik-fl

approval_status: approved

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: Amt für Statistik

en: Office of Statistics

political_level: other

state: active

type: organization

liechtenstein

capacity: public

type: dataset

key: guid

key: uri

value: DCAT Harvester Amt für Statistik FL

gove

de: Regierung und öffentlicher Sektor

en: Government and public sector

fr: Gouvernement et secteur public

it: Governo e settore pubblico

en: Data structure in English

de: Datenstruktur auf Englisch

format: JSON

media_type: application/json

en: Data structure in German

de: Datenstruktur auf Deutsch

de: Datenwürfel auf Englisch

en: Data cube in English

format: HTML

media_type: text/html

de: Datenwürfel auf Deutsch

en: Data cube in German

elections-referendums

display_name: elections-referendums

wahlen-abstimmungen

display_name: wahlen-abstimmungen


de: Nutztierhalter und Nutztierbestand bei Jahr, Kennzahl, Tierkategorie und Zone | Region

en: 361.001 Livestock owners and livestock by Year, Key figure, Animal category and Zone | region

de: Nutztierhalter und Nutztierbestände nach Tierkategorie, Zone und Region seit 2005

en: 361.001 Livestock owners and livestock by animal category, zone and region since 2005

agri

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

en: Agriculture, fisheries, forestry and food

fr: Agriculture, pêche, sylviculture et alimentation

it: Agricoltura, pesca, silvicoltura e prodotti alimentari

econ

de: Wirtschaft und Finanzen

en: Economy and finance

fr: Économie et finances

it: Economia e finanze

agriculture

display_name: agriculture

landwirtschaft

display_name: landwirtschaft


de: Stimmbeteiligung bei Abstimmungen bei Abstimmung, Kennzahl und Gruppe

en: Voter turnout in referendums by Referendum, Key figure and Group

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

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


en: Jobs by Year, Part-/ full-time, Place of residence, Municipality of work and Sex

de: Arbeitsplätze bei Jahr, Voll-/ Teilzeit, Wohnsitz, Arbeitsgemeinde und Geschlecht

de: Arbeitsplätze nach Voll-/ Teilzeit, Wohnsitz, Arbeitsgemeinde und Geschlecht seit 2008

en: Jobs by part-/ full-time, place of residence, municipality of work and sex since 2008

enterprises-jobs

display_name: enterprises-jobs

unternehmen-arbeitsplatze

display_name: unternehmen-arbeitsplatze


de: Rindviehhalter und Rindviehbestand bei Jahr, Kennzahl, Tierkategorie und Zone | Region | Gemeinde

en: 361.001 Cattle owners and cattle livestock by Year, Key figure, Animal category and Zone | region | municipality

de: Rindviehhalter und Rindviehbestand nach Tierkategorie (detailliert), Zone, Region und Gemeinde seit 2010

en: 361.002 Cattle owners and cattle livestock by animal category, zone, region and municipality since 2005


de: Nutztierbestand bei Jahr, Tierkategorie und Zone | Region

en: 361.003 Livestock by Year, Animal category and Zone | region

de: Nutztierbestand nach Tierkategorie (detailliert), Zone und Region seit 2005

en: 361.003 Livestock by animal category (detailed), zone and region since 2005

amt-fuer-statistik-fl

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

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


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

en: 361.004 Livestock in livestock units (LSU) by Year, Animal category and Zone | region

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

en: 361.004 Livestock in livestock units (LSU) by animal category, zone and region since 2005

de: Amt für Statistik

en: Office of Statistics

en: Data structure in English

de: Datenstruktur auf Englisch


de: Erdgaspreise (Jahresdurchschnitt) für Haushaltskunden bei Jahr, Preiskomponente und Jährlicher Gasverbrauch

en: Natural gas prices (annual average) for household costumers by Year, Prices components and Annual gas consumption

de: Erdgaspreise (Jahresdurchschnitt) für Haushaltskunden nach Preiskomponente und jährlichem Gasverbrauch seit 2018

en: Natural gas prices (annual average) for household costumers by prices components and annual gas consumption since 2018

ener

de: Energie

en: Energy

fr: Énergie

it: Energia

en: Data structure in German

de: Datenstruktur auf Deutsch

de: Datenwürfel auf Englisch

en: Data cube in English

de: Datenwürfel auf Deutsch

en: Data cube in German

energiepreise

display_name: energiepreise

energy-prices

display_name: energy-prices


de: Hauptaggregate und -indikatoren der VGR 1998 - 2013 by Jahr and Aggregat / Indikator

en: Main aggregates and main indicators of national accounts 1998 - 2013 by Year and Aggregate / indicator

econ

de: Wirtschaft und Finanzen

en: Economy and finance

national-accounts

display_name: national-accounts

volkswirtschaftliche-gesamtrechnungen

display_name: volkswirtschaftliche-gesamtrechnungen


en: Jobs by Year, Part-/ full-time, Economic activity, Place of residence and Sex

de: Arbeitsplätze bei Jahr, Voll-/ Teilzeit, Wirtschaftszweig, Wohnsitz und Geschlecht

de: Arbeitsplätze nach Voll-/ Teilzeit, Wirtschaftszweig, Wohnsitz und Geschlecht seit 2008

en: Jobs by part-/ full-time, economic activity, place of residence and sex since 2008


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

de: Arbeitsplätze bei Jahr, Voll-/ Teilzeit, Wirtschaftszweig, Arbeitsgemeinde und Geschlecht

de: Arbeitsplätze nach Voll-/ Teilzeit, Wirtschaftszweig, Arbeitsgemeinde und Geschlecht seit 2008

en: Jobs by part-/ full-time, economic activity, municipality of work and sex since 2008


en: Asylum events by Year, Event, Citizenship, Sex and Age group by Year, Event, Citizenship, Sex and Age group

de: Asylereignisse nach Jahr, Ereignis, Staatsbürgerschaft, Geschlecht und Altersklasse bei Jahr, Ereignis, Staatsbürgerschaft, Geschlecht und Altersklasse

de: Asylereignisse nach Ereignis, Staatsbürgerschaft, Geschlecht und Altersklasse seit 2011

en: Asylum events by event, citizenship, sex and age group since 2011

amt-fuer-statistik-fl

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

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

soci

de: Bevölkerung und Gesellschaft

en: Population and society

fr: Population et société

it: Popolazione e società

intr

de: Internationale Themen

en: International issues

fr: Questions internationales

it: Tematiche internazionali

asylum

display_name: asylum

asylwesen

display_name: asylwesen


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

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

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

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

amt-fuer-statistik-fl

de: Amt für Statistik

en: Office of Statistics

en: Data structure in English

de: Datenstruktur auf Englisch

haushalte-familien

display_name: haushalte-familien

households-families

display_name: households-families


de: Luftschadstoffemissionen bei Jahr und Schadstoff

en: Air pollutant emissions by Year and Air pollutant

de: Luftschadstoffemissionen nach Schadstoff seit 1985

en: Air pollutant emissions by air pollutant since 1985

envi

de: Umwelt

en: Environment

fr: Environnement

it: Ambiente

en: Data structure in German

de: Datenstruktur auf Deutsch

de: Datenwürfel auf Englisch

en: Data cube in English

air-climate

display_name: air-climate

luft-klima

display_name: luft-klima


de: Luftqualitätsuntersuchung mit Flechten bei Jahr und Luftqualität

en: Air quality analysis with lichens by Year and Air quality

de: Luftqualitätsuntersuchung mit Flechten nach Luftqualität seit 1989

en: Air quality analysis with lichens by air quality since 1989

de: Datenwürfel auf Deutsch

en: Data cube in German


en: Agricultural vehicles registered for the first time by Year, Maximum gross weight class, Type of vehicle, Make and Engine power class

de: Erstzugelassene Landwirtschaftsfahrzeuge bei Jahr, Gesamtgewichtsklasse, Fahrzeugart, Marke und Leistungsklasse

de: Erstzugelassene Landwirtschaftsfahrzeuge nach Gesamtgewichtsklasse, Fahrzeugart, Marke und Leistungsklasse

en: Agricultural vehicles registered for the first time by maximum gross weight class, type of vehicle, make and engine power class

tran

de: Verkehr

en: Transport

fr: Transports

it: Trasporti

fahrzeug-erstzulassungen

display_name: fahrzeug-erstzulassungen

vehicle-registration

display_name: vehicle-registration


de: Kennzahlen der Luftqualität bei Jahr, Standort und Kennzahl

en: Key figures on air quality by Year, Location and Key figure

de: Kennzahlen der Luftqualität nach Standort und Kennzahl seit 1990

en: Key figures on air quality by location and key figure since 1990

amt-fuer-statistik-fl

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

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


de: Bodenversiegelung bei Jahr und Kategorie

en: Soil sealing by Year and Category

de: Bodenversiegelung nach Kategorie seit 1984

en: Soil sealing by category since 1984

landscape-forest-soil-biodiversity

display_name: landscape-forest-soil-biodiversity

landschaft-wald-boden-biodiversitat

display_name: landschaft-wald-boden-biodiversitat


en: Natural gas prices for households and small businesses by Reference date and Key figure (gross calorific value GCV)

de: Erdgaspreise für Haushalte und Kleingewerbe bei Stichtag und Kennzahl (Brennwert Ho)

de: Erdgaspreise für Haushalte und Kleingewerbe nach Stichtag und Kennzahl seit 2015

en: Natural gas prices for households and small businesses by reference date and key figure since 2015

amt-fuer-statistik-fl

de: Amt für Statistik

en: Office of Statistics

ener

de: Energie

en: Energy

en: Data structure in English

de: Datenstruktur auf Englisch


en: Natural gas prices for households and small businesses by Year, Tariff group and Annual quantity purchased (gross calorific value GCV)

de: Erdgaspreise für Haushalte und Kleingewerbe bei Jahr, Tarifgruppe und Jahresbezugsmenge (Brennwert Ho)

de: Erdgaspreise für Haushalte und Kleingewerbe nach Tarifgruppe und Jahresbezugsmenge von 2004 bis 2014

en: Natural gas prices for households and small businesses by tariff group and annual quantity purchased from 2004 to 2014

en: Data structure in German

de: Datenstruktur auf Deutsch

de: Datenwürfel auf Englisch

en: Data cube in English


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

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

soci

de: Bevölkerung und Gesellschaft

en: Population and society

de: Datenwürfel auf Deutsch

en: Data cube in German


en: Sequence of national accounts at current prices 1998 - 2013 by Year and Account / transaction

de: Kontensystem der gesamten Volkswirtschaft zu laufenden Preisen 1998 - 2013 by Jahr and Konto / Transaktion

econ

de: Wirtschaft und Finanzen

en: Economy and finance


en: Licensed passenger vehicles by Reference date, Type of body, Make, Number of seats and Age category (years)

de: Personentransportfahrzeugbestand bei Stichtag, Karosserie, Marke, Anzahl Sitzplätze und Altersklasse (Jahre)

de: Personentransportfahrzeugbestand nach Karosserie, Marke, Anzahl Sitzplätze und Altersklasse seit 2015

en: Licensed passenger vehicles by type of body, make, number of seats and age category since 2015

amt-fuer-statistik-fl

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

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

tran

de: Verkehr

en: Transport

fahrzeugbestand

display_name: fahrzeugbestand

licensed-vehicles

display_name: licensed-vehicles


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

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

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

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

amt-fuer-statistik-fl

de: Amt für Statistik

en: Office of Statistics


de: Motorfahrzeugbestand bei Stichtag, Fahrzeuggruppe, Treibstoffart und Gemeinde

en: Licensed vehicles by Reference date, Vehicle group, Type of fuel and Municipality

de: Motorfahrzeugbestand nach Fahrzeuggruppe, Treibstoffart und Gemeinde seit 2013

en: Licensed vehicles by vehicle group/ type, type of fuel and municipality since 2013

en: Data structure in English

de: Datenstruktur auf Englisch


en: Non-entitled unemployed persons by Year and Month

de: Ausgesteuerte Arbeitslose bei Jahr und Monat

de: Ausgesteuerte Arbeitslose nach Monat seit 2006

en: Non-entitled unemployed persons by month since 2006

en: Data structure in German

de: Datenstruktur auf Deutsch

de: Datenwürfel auf Englisch

en: Data cube in English

arbeitslosigkeit

display_name: arbeitslosigkeit

unemployment

display_name: unemployment


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

de: Kennzahlen der Vorsteherwahlen nach Gemeinde seit 1975

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

gove

de: Regierung und öffentlicher Sektor

en: Government and public sector

de: Datenwürfel auf Deutsch

en: Data cube in German

elections-referendums

display_name: elections-referendums

wahlen-abstimmungen

display_name: wahlen-abstimmungen


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

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

de: Beschäftigte nach Geschlecht, Beschäftigungsgrad, Familienzugehörigkeit, Grössenklasse, Zone, Region und Gemeinde seit 2005

en: Persons employed by sex, level of employment, family membership, size class, zone, region and municipality since 2005

agri

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

en: Agriculture, fisheries, forestry and food

econ

de: Wirtschaft und Finanzen

en: Economy and finance

agriculture

display_name: agriculture

landwirtschaft

display_name: landwirtschaft


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

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

de: Betriebsleiter nach Geschlecht, Beschäftigungsgrad, Altersklasse, Durchschnittsalter, Grössenklasse, Zone, Region und Gemeinde seit 2005

en: Manager by sex, level of employment, age group, average age, size class, zone, region and municipality since 2005

amt-fuer-statistik-fl

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

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


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

en: Holdings by Year, Area category and Size class | zone | region | municipality

de: Betriebe nach Flächenkategorie, Grössenklasse, Zone, Region, Gemeinde seit 2005

en: Holdings by area category, size class, zone, region and municipality since 2005

de: Amt für Statistik

en: Office of Statistics


de: Nutzfläche bei Jahr, Flächenkategorie und Grössenklasse | Zone | Region | Gemeinde

en: Utilised agricultural area by Year, Area category and Size class | zone | region | municipality

de: Nutzfläche nach Flächenkategorie, Grössenklasse, Zone, Region und Gemeinde seit 2005

en: Utilised agricultural area by area category, size class, zone, region and municipality since 2005

en: Data structure in English

de: Datenstruktur auf Englisch


de: Strompreise (Jahresdurchschnitt) für Haushaltskunden bei Jahr, Preiskomponente und Jährlicher Stromverbrauch

en: Electricity prices (annual average) for household costumers by Year, Prices components and Annual electricity consumption

de: Strompreise (Jahresdurchschnitt) für Haushaltskunden nach Preiskomponente und jährlichem Stromverbrauch seit 2018

en: Electricity prices (annual average) for household costumers by prices components and annual electricity consumption since 2018

ener

de: Energie

en: Energy

en: Data structure in German

de: Datenstruktur auf Deutsch

de: Datenwürfel auf Englisch

en: Data cube in English

energiepreise

display_name: energiepreise

energy-prices

display_name: energy-prices


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

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

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: Datenwürfel auf Deutsch

en: Data cube in German


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

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

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

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

agri

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

en: Agriculture, fisheries, forestry and food

econ

de: Wirtschaft und Finanzen

en: Economy and finance


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

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

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

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

amt-fuer-statistik-fl

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

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


de: Nutztierbestand bei Jahr, Tierkategorie und Grössenklasse | Zone | Region

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

de: Nutztierbestand nach Tierkategorie (detailliert), Grössenklasse, Zone und Region seit 2005

en: Livestock by animal category (detailed), size class, zone and region since 2005

de: Amt für Statistik

en: Office of Statistics


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

en: Livestock in livestock units (LSU) by Year, Animal category and Size class | zone | region

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

en: Livestock in livestock units (LSU) by animal category, size class, zone and region since 2005

en: Data structure in English

de: Datenstruktur auf Englisch


en: Government balance sheet by Year, Balance sheet item, Subsectur and Institutional unit

de: Vermögensbilanz Staat bei Jahr, Bilanzposition, Teilsektor und Institutionelle Einheit

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

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

gove

de: Regierung und öffentlicher Sektor

en: Government and public sector

en: Data structure in German

de: Datenstruktur auf Deutsch

de: Datenwürfel auf Englisch

en: Data cube in English

offentliche-finanzen

display_name: offentliche-finanzen

public-finance

display_name: public-finance


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

de: Erstzugelassene Personenwagen bei Jahr, Treibstoff (detailliert) und Importart

de: Erstzugelassene Personenwagen nach Treibstoff (detailliert) und Importart

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

tran

de: Verkehr

en: Transport

de: Datenwürfel auf Deutsch

en: Data cube in German


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

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

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

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


en: Passenger cars registered for the first time by Year, Type of fuel, Kind of import and Energy efficiency code

de: Erstzugelassene Personenwagen bei Jahr, Treibstoffart, Importart und Energieeffizienzkategorie

de: Erstzugelassene Personenwagen nach Treibstoffart, Importart und Energieeffizienzkategorie

en: Passenger cars registered for the first time by type of fuel, kind of import and energy efficiency code

amt-fuer-statistik-fl

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

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


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

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

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: Amt für Statistik

en: Office of Statistics


en: Passenger cars registered for the first time by Year, Type of gear, Engine capacity class, Engine power class and Unladen weight class

de: Erstzugelassene Personenwagen bei Jahr, Getriebeart, Hubraumklasse, Leistungsklasse und Leergewichtsklasse

de: Erstzugelassene Personenwagen nach Getriebeart, Hubraumklasse, Leistungsklasse und Leergewichtsklasse

en: Passenger cars registered for the first time by type of gear, engine capacity class, engine power class and unladen weight class

en: Data structure in English

de: Datenstruktur auf Englisch


en: Passenger cars registered for the first time by Year, Type of fuel, Number of cylinders and Engine power class

de: Erstzugelassene Personenwagen bei Jahr, Treibstoffart, Anzahl Zylinder und Leistungsklasse

de: Erstzugelassene Personenwagen nach Treibstoffart, Anzahl Zylinder und Leistungsklasse

en: Passenger cars registered for the first time by type of fuel, number of cylinders and engine power class

en: Data structure in German

de: Datenstruktur auf Deutsch


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

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

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

de: Datenwürfel auf Englisch

en: Data cube in English


de: Waldfläche bei Jahr und Waldart

en: Wooded areas by Year and Forest type

de: Waldfläche nach Waldart seit 1984

en: Wooded areas by forest type since 1984

envi

de: Umwelt

en: Environment

de: Datenwürfel auf Deutsch

en: Data cube in German


de: Strompreise für Haushalte und Kleingewerbe bei Stichtag und Preiskomponente

en: Electricity prices for households and small businesses by Reference date and  Prices components

de: Strompreise für Haushalte und Kleingewerbe nach Stichtag seit 2025

en: Electricity prices for households and small businesses by reference date since 2025

amt-fuer-statistik-fl

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

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

ener

de: Energie

en: Energy


en: Electricity prices for households and small businesses by Reference date, Rate, Price category and Annual electricity consumption

de: Strompreise für Haushalte und Kleingewerbe bei Stichtag, Tarif, Preiskategorie und Jährlicher Stromverbrauch

en: Electricity prices for households and small businesses by reference date, rate, price category and annual electricity consumption from 2007 to 2015

de: Strompreise für Haushalte und Kleingewerbe nach Stichtag, Tarif, Preiskategorie und jährlichem Stromverbrauch von 2007 bis 2015

amt-fuer-statistik-fl

de: Amt für Statistik

en: Office of Statistics


de: Strompreise für Haushalte und Kleingewerbe nach Stichtag, Tarif, Preiskategorie und jährlichem Stromverbrauch von 2016 bis 2024

en: Electricity prices for households and small businesses by reference date, rate, price category and annual electricity consumption from 2016 to 2024

en: Data structure in English

de: Datenstruktur auf Englisch


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

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

de: Erstzugelassene Personenwagen nach Marke, Treibstoffart und Monat

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

tran

de: Verkehr

en: Transport

en: Data structure in German

de: Datenstruktur auf Deutsch


en: Public finance indicators by Year and Indicator/ Ratio

de: Internationale Indikatoren der öffentlichen Finanzen bei Jahr und Indikator/ Quote

de: Internationale Indikatoren der öffentlichen Finanzen seit 2011

en: Public finances indicators since 2011

gove

de: Regierung und öffentlicher Sektor

en: Government and public sector

de: Datenwürfel auf Englisch

en: Data cube in English


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

de: Erstzugelassene Personenwagen bei Jahr, Marke und Mittlere Kennzahlen

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 Deutsch

en: Data cube in German


de: Konjunkturumfrage (Hemmnisse) bei Wirtschaftszweig, Indikator und Quartal

en: Business Survey (Obstacles) by Economic activity, Indicator and Quartal

de: Konjunkturumfrage (Hemmnisse) nach Wirtschaftszweig seit 2020

en: Business Survey (Obstacles) by Industry since 2020

amt-fuer-statistik-fl

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

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

business-tendency-survey

display_name: business-tendency-survey

konjunkturumfrage

display_name: konjunkturumfrage


en: Persons seeking employment by Year, Sex and Month

de: Stellensuchende bei Jahr, Geschlecht und Monat

de: Stellensuchende nach Geschlecht und Monat seit 2000

en: Persons seeking employment by sex and month since 2000

amt-fuer-statistik-fl

de: Amt für Statistik

en: Office of Statistics

econ

de: Wirtschaft und Finanzen

en: Economy and finance


de: Holznutzung bei Jahr, Holzsortiment und Holzart

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

de: Holznutzung nach Holzsortiment und Holzart seit 1986

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

envi

de: Umwelt

en: Environment

en: Data structure in English

de: Datenstruktur auf Englisch


de: Einwohner und Erwerbstätige im Jahresmittel 1998 - 2013 by Jahr and Einwohner und Erwerbstätige

en: Average population and employed persons 1998 - 2013 by Year and Population and employed persons

en: Data structure in German

de: Datenstruktur auf Deutsch

national-accounts

display_name: national-accounts

volkswirtschaftliche-gesamtrechnungen

display_name: volkswirtschaftliche-gesamtrechnungen


de: Konjunkturumfrage (Rück-/Ausblick) bei Wirtschaftszweig, Rückblick/Ausblick, Indikator, Einheit und Quartal

en: Business Survey (Review/Outlook) by Economic activity, Review/Outlook, Indicator, Unit and Quartal

de: Konjunkturumfrage (Rück-/Ausblick) nach Wirtschafszweig seit 1990

en: Business Survey (Review/Outlook) by Industry since 1990

de: Datenwürfel auf Englisch

en: Data cube in English


de: Erstzugelassene Personentransportfahrzeuge bei Jahr, Karosserie und Mittlere Kennzahlen

en: Passenger vehicles registered for the first time by Year, Type of body and Average key figures

de: Erstzugelassene Personentransportfahrzeuge nach Karosserie sowie mittlere Kennzahlen (Leergewicht, Hubraum, Leistung)

en: Passenger vehicles registered for the first time by type of body, as well as average key figures (unladen weight, engine capacity, engine power)

tran

de: Verkehr

en: Transport

de: Datenwürfel auf Deutsch

en: Data cube in German

fahrzeug-erstzulassungen

display_name: fahrzeug-erstzulassungen

vehicle-registration

display_name: vehicle-registration


de: Motorfahrzeugbestand bei Stichtag, Fahrzeuggruppe, Fahrzeugart und Altersklasse (Jahre)

en: Licenced motor vehicles by Reference date, Vehicle group, Type of vehicle and Age category (years)

de: Motorfahrzeugbestand nach Fahrzeuggruppe, Fahrzeugart und Altersklasse seit 2013

en: Licensed motor vehicles by vehicle group, type of vehicle and age category since 2013

amt-fuer-statistik-fl

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

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

fahrzeugbestand

display_name: fahrzeugbestand

licensed-vehicles

display_name: licensed-vehicles


en: Passenger vehicles registered for the first time by Year, Type of body, Make and Maximum gross weight class

de: Erstzugelassene Personentransportfahrzeuge bei Jahr, Karosserie, Marke und Gesamtgewichtsklasse

de: Erstzugelassene Personentransportfahrzeuge nach Karosserie, Marke und Gesamtgewichtsklasse

en: Passenger vehicles registered for the first time by type of body, make and maximum gross weight class

amt-fuer-statistik-fl

de: Amt für Statistik

en: Office of Statistics


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

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

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

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


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

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

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

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

agri

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

en: Agriculture, fisheries, forestry and food

econ

de: Wirtschaft und Finanzen

en: Economy and finance

en: Data structure in English

de: Datenstruktur auf Englisch


de: Aufforstung bei Jahr und Baumart

en: Afforestation by Year and Tree species

de: Aufforstung nach Baumart seit 1990

en: Afforestation by tree species since 1990

envi

de: Umwelt

en: Environment

en: Data structure in German

de: Datenstruktur auf Deutsch

de: Datenwürfel auf Englisch

en: Data cube in English

landscape-forest-soil-biodiversity

display_name: landscape-forest-soil-biodiversity

landschaft-wald-boden-biodiversitat

display_name: landschaft-wald-boden-biodiversitat


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

de: Erwerbstätige Bevölkerung nach Wirtschaftssektor, Heimat, Geschlecht und Wohngemeinde

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

de: Datenwürfel auf Deutsch

en: Data cube in German

employment-structure

display_name: employment-structure

erwerbsstruktur-berufe

display_name: erwerbsstruktur-berufe


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

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

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

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

amt-fuer-statistik-fl

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

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

tran

de: Verkehr

en: Transport


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

de: Schulkinder bei Jahr, Schultyp, Schulstufe und Kennzahl

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

amt-fuer-statistik-fl

de: Amt für Statistik

en: Office of Statistics

educ

de: Bildung, Kultur und Sport

en: Education, culture and sport

fr: Éducation, culture et sport

it: Istruzione, cultura e sport

schools

display_name: schools

schulen

display_name: schulen


en: Pupils in Liechtenstein by Year, Type of school, Level of education, Sex and Place of school

de: Schulkinder in Liechtenstein bei Jahr, Schultyp, Schulstufe, Geschlecht und Schulort

de: Schulkinder in Liechtenstein nach Schultyp, Schulstufe, Geschlecht und Schulort seit 2005/06

en: Pupils in Liechtenstein by type of school, level of education, sex and place of school since 2005/06

en: Data structure in English

de: Datenstruktur auf Englisch


en: Pupils in Liechtenstein by Year, Level of education, Sex and Citizenship

de: Schulkinder in Liechtenstein bei Jahr, Schulstufe, Geschlecht und Staatsbürgerschaft

de: Schulkinder in Liechtenstein nach Schulstufe, Geschlecht und Staatsbürgerschaft seit 2005/06

en: Pupils in Liechtenstein by level of education, sex and citizenship since 2005/06


en:
This data set includes 589 snow profile observations including a rutschblock test, observations of signs of instability and an assessment of the local avalanche danger level, mainly recorded in the region of Davos (eastern Swiss Alps) during the winter seasons 2001-2002 to 2018-2019.
These data were analyzed and results published by Schweizer et al. (2021). They characterized the avalanche danger levels based on signs of instability (whumpfs, shooting cracks, recent avalanches), snow stability class and new snow height.
The data are provided in a csv file (589 records); the variables are described in the corresponding read-me file.
These data are the basis of the following publication: Schweizer, J., Mitterer, C., Reuter, B., and Techel, F.: Avalanche danger level characteristics from field observations of snow instability, Cryosphere, 15, 3293-3315, https://doi.org/10.5194/tc-15-3293-2021, 2021.
 Acknowlegements
Many of the data were recorded by SLF observers and staff members, among those Roland Meister, Stephan Harvey, Lukas Dürr, Marcia Phillips, Christine Pielmeier and Thomas Stucki. Their contribution is gratefully acknowledged.

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

envidat

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.

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

fr: EnviDat: le portail de données environnementales

it: EnviDat: il portale dei dati ambientali

de: EnviDat

value: Envidat Harvester

envi

de: Umwelt

en: Environment

en:
Resource Title: Field observations of snow instabilities
    Size: 107300 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/321f2050-93be-4772-b5d8-562f46658256/resource/5927f50c-3a33-4ceb-91bf-d583efd14cfe/download/snow_instability_field_data.csv
    Description: This data set includes 589 snow profile observations including a rutschblock test, observations of signs of instability and an assessment of the local avalanche danger level, mainly recorded in the region of Davos (eastern Swiss Alps) during the winter seasons 2001-2002 to 2018-2019.

format: CSV

media_type: text/csv

en:
Resource Title: Read-me file
    Size: 133885 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/321f2050-93be-4772-b5d8-562f46658256/resource/b3aeef4d-1b54-467c-88b4-4d2da8076885/download/read-me.pdf
    Description: This read-me file contains the descriptions of the variables.

format: PDF

media_type: application/pdf

avalanche

display_name: avalanche

avalanche-danger

display_name: avalanche-danger

avalanche-forecasting

display_name: avalanche-forecasting

danger-level

display_name: danger-level

snow

display_name: snow

snow-instability

display_name: snow-instability


en:
The dataset includes spatially aggregated canopy temperature measurements (°C) of one to two tree crowns obtained using infrared (IR) point sensors.
The dataset was quality screened using a multi-step outlier detection procedure based on Median Absolute Deviation (MAD) statistics within a defined analysis period (= 1 year).
**Three complementary quality-control checks were applied**:
1\. Global MAD screening – detects observations that strongly deviate from the overall distribution of each individual sensor time series.
2\. Local spike detection – identifies short-term anomalous spikes within each sensor time series using rolling median and rolling MAD statistics.
3\. Cross-sensor consistency screening – compares measurements across all sensors recorded at the same timestamp to identify extreme deviations relative to the network-wide median behaviour.
Each observation received individual QC flags for all three checks, followed by a combined final quality flag. Observations passing all criteria were labelled as `good`, while flagged observations were labelled as `outlier` if considered suspect, or as `bad` if associated with known sensor drifts. Observations labelled as `outlier` may still represent physically plausible values, while observations labelled as `bad` should not be considered for further analysis. All observations were retained in the exported dataset for traceability.

en: Pfynwald VPDrought experiment canopy temperature parameter

en: vpdrought irrigation transpiration ir-sensor cooling pfynwald pinus-sylvestris heat-stress

en:
Resource Title: pfynwald_vpdrought_canopy_temperature_1min_2025.zip
    Size: 50905903 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/a585bca2-a5e2-4810-b9a8-e831fdc7aebd/resource/3ed284f7-5ca4-4b25-9441-00722b92e58d/download/pfynwald_vpdrought_canopy_temperature_1min_2025.zip
    Description:

format: ZIP

media_type: application/zip

en:
Resource Title: pfynwald_vpdrought_canopy_temperature_1min_2024.zip
    Size: 51370310 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/a585bca2-a5e2-4810-b9a8-e831fdc7aebd/resource/966309dc-3bf5-4bbc-9964-6af79bf294fd/download/pfynwald_vpdrought_canopy_temperature_1min_2024.zip
    Description:

en:
Resource Title: pfynwald_vpdrought_canopy_temperature_10min_2025.zip
    Size: 5833672 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/a585bca2-a5e2-4810-b9a8-e831fdc7aebd/resource/66747b91-d345-4e98-97c7-9d7b3ce92266/download/pfynwald_vpdrought_canopy_temperature_10min_2025.zip
    Description:

en:
Resource Title: pfynwald_vpdrought_canopy_temperature_10min_2024.zip
    Size: 5872908 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/a585bca2-a5e2-4810-b9a8-e831fdc7aebd/resource/212221fb-14a0-4157-97e9-1670e221959d/download/pfynwald_vpdrought_canopy_temperature_10min_2024.zip
    Description:

cooling

display_name: cooling

heat-stress

display_name: heat-stress

ir-sensor

display_name: ir-sensor

irrigation

display_name: irrigation

pfynwald

display_name: pfynwald

pinus-sylvestris

display_name: pinus-sylvestris

transpiration

display_name: transpiration

vpdrought

display_name: vpdrought


en:
Atmospheric drought (high vapor pressure deficit, VPD) and soil drought frequently co-occur, yet plants respond to these stressors through partially distinct physiological pathways, potentially altering source (photosynthesis) and sink (growth and respiration) activities. Despite significant advances in understanding drought impacts on photosynthesis and plant hydraulics, the independent and interactive effects of soil vs. atmospheric drought on whole-tree carbon balance, including non-structural carbohydrate (NSC) dynamics, allocation priorities, and growth, remain insufficiently understood.
This project aims to disentangle the effects of soil and atmospheric droughts on tree sink and source dynamics in European forests, by studying leaf-to-whole-tree ecophysiological processes that drive growth, carbon sequestration and tree mortality. Research will primarily be conducted in Pfynwald (Valais, Switzerland), as part of the VPDrought experiment, where mature Scots pines (Pinus sylvestris) are exposed to increased soil drought and reduced VPD.
Our study addresses the research question: how do soil and atmospheric droughts differentially affect tree carbon uptake and allocation to growth? We hypothesize that atmospheric drought primarily limits carbon assimilation via stomatal closure, leading to reduced growth and respiration (sink activity), whereas soil drought suppresses both carbon uptake (source activity) and sink strength (growth and respiration), leading to stronger shifts in carbon allocation and early reductions in sink demand. Soil drought restricts carbon transport to belowground sinks, while atmospheric drought promotes NSC accumulation in source tissues due to stomatal closure and reduced sink demand.
**Methods:**
Four campaigns (~4 days each) will be conducted at VPDrought during the summer of 2026-2028, covering four experimental treatments: 1) soil drought + ambient air, 2) soil drought + reduced VPD, 3) irrigation + ambient air, 4) irrigation + reduced VPD. Each treatment will include 6-9 replicates.
During the campaigns, gas exchange measurements will be performed, including net photosynthesis, stomatal conductance, temperature responses of photosynthesis and respiration, and A/Ci curves, using three LI-COR systems (LI-6800). Twig water potential (pre-dawn and midday) will be measured with a Scholander pressure chamber (PMS, model 1505D). Twig, needles, and root samples will be collected across treatments for non-structural carbohydrate (NSC) analyses. Stem respiration measurements will be taken using a custom-made chamber and analyzed with the LI-COR (LI-8100A). In addition, stem radial growth (measured with dendrometers) and leaf area development (using Lidar measurements) will be utilized as proxies for sink activity and carbon allocation to structural growth.  Measurements will be repeated across all years, with additional assessments in 2027 and 2028, including resin flow and phloem transport efficiency using a 13C pulse labeling approach.

en: Carbon balance under dual droughts: Disentangling the effects of soil and atmospheric moisture on tree sink and source dynamics in European forests.

en: vpd pinus-sylvestris gas-exchange carbon-dynamics soil-drought

format: TXT

carbon-dynamics

display_name: carbon-dynamics

gas-exchange

display_name: gas-exchange

soil-drought

display_name: soil-drought

vpd

display_name: vpd


en:
The dataset refers to samples collected across 6 farms in the Bega Valley region of Australia. The farms are located in the grassy woodland ecoregion and are extensively managed with sheep and cattle grazing. Livestock shares the landscape with native mammalian and invertebrate herbivores. On each farm, two nested fenced exclosure systems were established. These included an open area, a fence excluding livestock but allowing access to native mammals and invertebrates and a fence excluding all mammals but allowing access to invertebrates. In each farm, one of these systems was located in a zone dominated by the native Kangaroo grass, and another in a zone co-dominated by the Invasive African lovegrass. The sample and treatment numbering, as well as a summary of the aggregated indicators is provided in the file Indicator_summary.
Leaf swab s(phyllosphere) samples were taken and DNA was extracted and amplified for 16s and ITS markers. The resulting metabarcoding derived tables are presented (Bacteria_swabs and Fungi_swabs respectively), as are the inferred functional profiles for bacteria at the pathway level (PICRUSt2_pathways), as derived by the PICRUSt2 pipeline.
Two 20 by 100 cm strips had their vegetation removed and their living and litter biomass quantified by dry weight (Biomass). Sensors measuring temperature 10 cm above the soil surface were installed in each plot and their output is presented in Climate. Invertebrates were collected with both pitfall traps and sweepnets and the counts for both sampling techniques can be found in Invertebrates. Damage scores across different categories were collected on 5 leaves of the two species in each plot and the average scores can be found in Leaf_damage.

en: Herbivory disrupts invasion_associated phyllosphere and arthropod community shifts in grasslands

en: invertebrates phyllosphere biological-invasions herbivore-exclusion grassland

en:
Resource Title: Leaf_damage.csv
    Size: 2007 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/593901f4-0a08-4dc6-98a4-1decf904dbc1/resource/5c2f7e5f-cc22-4ac6-aa16-f3ef13d27ea7/download/leaf_damage.csv
    Description: Aggregated leaf damage scores for African lovegrass and Kangaroo grass

en:
Resource Title: Biomass.csv
    Size: 3031 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/593901f4-0a08-4dc6-98a4-1decf904dbc1/resource/ac6aecef-5a8d-4539-b231-3403691fc3f9/download/biomass.csv
    Description: Dry biomass weight of collected plant material

en:
Resource Title: Fungi_swabs.csv
    Size: 1059062 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/593901f4-0a08-4dc6-98a4-1decf904dbc1/resource/02fb3082-a33e-4af4-8ea1-d4c4953eec4e/download/fungi_swabs.csv
    Description: OTU table of fungal phyllosphere communities

en:
Resource Title: Invertebrates.csv
    Size: 18842 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/593901f4-0a08-4dc6-98a4-1decf904dbc1/resource/493ae610-9929-4499-8dfb-fdb7c8feafed/download/invertebrates.csv
    Description: Counts of invertebrates collected with pitfall traps and sweepnets

en:
Resource Title: PICRUSt2.csv
    Size: 469821 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/593901f4-0a08-4dc6-98a4-1decf904dbc1/resource/665f8907-396a-4b1e-b564-fa100a2b5968/download/picrust2.csv
    Description: Predicted pathway profiles of sampled phyllosphere bacterial communities

en:
Resource Title: Bacteria_swabs.csv
    Size: 1153434 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/593901f4-0a08-4dc6-98a4-1decf904dbc1/resource/f97a1423-4749-45fa-a07e-93697dd72676/download/bacteria_swabs.csv
    Description: OTU table of bacterial phyllosphere communities

en:
Resource Title: Climate.csv
    Size: 5096079 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/593901f4-0a08-4dc6-98a4-1decf904dbc1/resource/787a3947-a316-4ac5-aeda-ffacfd832bed/download/climate.csv
    Description: Sensor collected soil surface temperatures

en:
Resource Title: Indicator_summary.csv
    Size: 19067 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/593901f4-0a08-4dc6-98a4-1decf904dbc1/resource/d68e884c-0153-4d0f-95c6-eb5702972cce/download/indicator_summary.csv
    Description: Sample metadata and aggregate indicators

biological-invasions

display_name: biological-invasions

grassland

display_name: grassland

herbivore-exclusion

display_name: herbivore-exclusion

invertebrates

display_name: invertebrates

phyllosphere

display_name: phyllosphere


en:
Description
This dataset contains continuous sap-flow measurements and derived whole-tree transpiration estimates for 45 Pinus sylvestris trees at the Pfynwald experimental platform in southwestern Switzerland during 2024–2025. Trees were distributed across five treatment combinations established within the VPDrought experiment: Control, Irrigation, Irrigation + VPD reduction, Roof, and Roof + VPD reduction. Sap flux density was measured every 10 min using heat-ratio sap-flow sensors (IX-SF30, Implexx, Melbourne, Australia) installed at breast height on the north-facing side of each tree.
Raw temperature signals were converted to sap flux density following the heat ratio method (Marshall 1958; Burgess et al. 2001; Forster 2019). Thermal diffusivity and related wood properties were parameterized using increment cores collected near the site and tree-specific allometric relationships. Probe misalignment was corrected by estimating a zero-flow offset from nighttime measurements during well-watered, low-VPD conditions in February 2024 and subtracting this offset from the full time series.
Sap flux density measurements at 0.5 and 1.5 cm sapwood depth were combined to total sap flow for the depth where the sensors were installed. Whole-tree transpiration can be calculated by integrating sap flux density across concentric sapwood depth of 2 cm.
The dataset includes processed sap flux density values together with metadata on treatment, tree identity, sensor depth, and quality-control corrections. Limitations include possible residual uncertainty due to sensor drift, assumptions in the sapwood depth, and the replacement of two trees that died during summer 2024 and lost parts of their crown in 2025.
 Additional Information
Data processing was performed in an R environment following the heat ratio method workflow described by Forster (2019). Raw heat-pulse measurements were converted to sap flux density and subsequently corrected for thermal diffusivity, and probe misalignment. Outliers and implausible values were identified and removed using the R package datacleanr (Hurley et al. 2022). Sensor needle misalignment was corrected by defining a zero-flow offset during periods of low atmospheric demand and assumed zero sap flow (i.e. rainy periods), and subtracting this offset from the time series. The processing script used to derive the dataset is available from the authors upon request.
Relevant literature:
- Burgess S.S.O., Adams M.A., Turner N.C., Beverly C.R., Ong C.K., Khan A.A.H. & Bleby T.M. (2001) An improved heat pulse method to measure low and reverse rates of sap flow in woody plants†. Tree Physiology 21, 589–598.
- Forster M.A. (2019) The Dual Method Approach (DMA) Resolves Measurement Range Limitations of Heat Pulse Velocity Sap Flow Sensors. Forests 10.
- Hurley A.G., Peters R.L., Pappas C., Steger D.N. & Heinrich I. (2022) Addressing the need for interactive, efficient, and reproducible data processing in ecology with the datacleanr R package. PLOS ONE 17, e0268426-.
- Marshall D.C. (1958) Measurement of Sap Flow in Conifers by Heat Transport. 1. Plant Physiology 33, 385–396.

en: Pfynwald VPDrought  experiment sap flow parameter

en: vpd forest-ecophysiology rain-exclusion rhone-valley pinus-sylvestris transpiration drought-experiment tree-transpiration xylem-flux reduction vpdrought pfynwald irrigation continuous-monitoring sap-flow

envidat

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: EnviDat: the Environmental Data Portal

envi

en: Environment

en:
Resource Title: pfynwald_vpdrought_sapflow_10Minutes_2024.zip
    Size: 53546175 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/a9e439e5-827a-40a7-956c-1a05699e6adc/resource/6a0cd3b8-8e29-4b85-9296-86196808fd32/download/pfynwald_vpdrought_sapflow_10minutes_2024.zip
    Description:

en:
Resource Title: pfynwald_vpdrought_sapflow_10Minutes_2025.zip
    Size: 53424631 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/a9e439e5-827a-40a7-956c-1a05699e6adc/resource/455662d6-f0b7-4ea8-8cb6-d31eb714952e/download/pfynwald_vpdrought_sapflow_10minutes_2025.zip
    Description:

continuous-monitoring

display_name: continuous-monitoring

drought-experiment

display_name: drought-experiment

forest-ecophysiology

display_name: forest-ecophysiology

rain-exclusion

display_name: rain-exclusion

reduction

display_name: reduction

rhone-valley

display_name: rhone-valley

sap-flow

display_name: sap-flow

tree-transpiration

display_name: tree-transpiration

xylem-flux

display_name: xylem-flux


en:
Project description:
Forest soils are among the largest terrestrial carbon pools. How soil carbon (C) responds to changing water availability is still poorly understood, particularly in already water-limited systems. This project investigates the composition and persistence of soil organic matter (SOM) and associated microbial communities in a dry inner-Alpine Scots pine forest exposed to long-term changes in precipitation and atmospheric demand. Earlier work showed that 19 years of irrigation redistributed bulk soil C from the organic layer into the mineral soil. Although total soil C stocks remained unchanged, a higher incorporation into mineral soils may increase long-term C storage (Guidi et al., 2022; Minich et al., 2026). We now ask, how persistent this redistributed C is, in which soil C fraction (particulate or mineral-associated) it resides, and which microbial communities are associated with it.
The work is based at Pfynwald, where a long-term irrigation experiment (since 2003) and the recently installed [VPDrought platform](https://vpdrought.wsl.ch/de/) together span three precipitation regimes (≈300, 600, and 1200 mm per year) crossed with manipulation of atmospheric vapour-pressure deficit. This setup allows us to disentangle the effects of soil and atmospheric drought, which typically co-vary in nature but may shape soil carbon dynamics through distinct pathways. SOM is separated by physical fractionation into particulate (POM) and mineral-associated (MAOM) fractions, characterized through elemental and isotopic analyses (C, N, δ¹³C, δ¹⁵N, ¹⁴C) and fraction-specific microbial community profiling. At the bulk soil level, we measure nutrient pools and extracellular enzyme activities, continue year-round soil respiration, and complement them by CH4 fluxes. Together, these data will reveal how soil carbon stocks and microbial processing respond to changing precipitation in a water-limited pine forest.

en: Soil organic matter dynamics under altered precipitation in a dry Scots pine forest

en: microbial-communities drought pfynwald som radiocarbon

drought

display_name: drought

microbial-communities

display_name: microbial-communities

pfynwald

display_name: pfynwald

radiocarbon

display_name: radiocarbon

som

display_name: som


historical-vegetation-height-model-nfi

en:
The main datasets available are 4 nationwide **Digital Surface Models (DSMs)** and corresponding **Vegetation Height Models (VHMs)** with a spatial resolution of 1 m.
The Vegetation Height Models are calculated by subtraction of a Digital Terrain Model (swissAlti3d version 2017, swisstopo) from the generated DSMs. DSMs were derived by image matching of **scanned historical images** (panchromatic 8-bit) acquired with a RC10 frame camera, in the context of the swisswide image acquisition campaigns of swisstopo.
Nationwide products could be generated for the **four epochs**
 1979-1985 / 1985-1991 / 1990-1998 / 1998-2006.
Additional information about successful image matching vs. interpolation of pixels and about the year of image acquisition are available in the corresponding files (**matched_area_xxxx_xxxx_binay.tif** and **meta_acquisition_year_xxxx_xxxx.json**, respectively).
To separate vegetation from non-vegetation areas a mask derived from a combination of information of the Topographic landscape model - TLM (swisstopo) and a NDVI layer was used and is supplied as **"TLM_mask.tif"**
Due to the occurrence of unrealistic vegetation height values caused by the failure of the image matching process (mainly overexposed images and clouds or very steep rocky terrain), pixel values - 60 m were set to NoData and - 0 m to 0.
All datasets are available in the Reference System **LV95 (EPSG: 2056) LN02 (EPSG: 5728)** and share the common **extent definition** (xmin ymin xmax ymax): 2480000 1070000 2840000 1300000

en: Historical Vegetation Height Model NFI

en: vhm photogrammetry nfi forest historical dsm

title_for_slug: historical-vegetation-height-model-nfi

en:
Resource Title: readme.txt
    Size: 2045 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/d16d27e5-b239-4909-b914-1b0b5337dab3/resource/f6cabeaa-bf7c-4141-bea9-af99d3224487/download/readme.txt
    Description: Description of available data

media_type: text/plain

en:
Resource Title: 1990-1998 Vegetation Height Model
    Size: 219902325555 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fenvicloud%2F&prefix=doi%2Fenvidat.528%2F1990-1998_vegetation_height_model_nfi%2F
    Description:

en:
Resource Title: 1998-2006 Vegetation Height Model
    Size: 219902325555 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fenvicloud%2F&prefix=doi%2Fenvidat.528%2F1998-2006_vegetation_height_model_nfi%2F
    Description:

en:
Resource Title: 1985-1991 Vegetation Height Model
    Size: 219902325555 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fenvicloud%2F&prefix=doi%2Fenvidat.528%2F1985-1991_vegetation_height_model_nfi%2F
    Description:

en:
Resource Title: 1979-1985 Vegetation Height Model
    Size: 219902325555 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fenvicloud%2F&prefix=doi%2Fenvidat.528%2F1979-1985_vegetation_height_model_nfi%2F
    Description:

dsm

display_name: dsm

forest

display_name: forest

historical

display_name: historical

nfi

display_name: nfi

photogrammetry

display_name: photogrammetry

vhm

display_name: vhm


vegetation-height-model-lidar-nfi

en:
Countrywide **vegetation height models (VHM)** were generated for Switzerland based on
LiDAR data acquired in the framework of the **swissSURFACE3D** campaign (swisstopo).
To derive vegetation height, the classified point cloud got normalized by calculating height above ground for all points not belonging to the class ground (2). Vegetation point (class 3,4,5) got then rasterized to a grid size of 0.5 m using an interpolation distance of one grid cell. Raster cells not belonging to a vegetation class got set to 0 m above ground.
These VHM's are produced in the framework of the Swiss National forest Inventory (NFI).
Each year about 1/6 of switzerland surface is updated using swissSURFACE3D data in leaf-off state.

en: Vegetation Height Model LiDAR NFI

en: vegetation-classification three-dimensional vegetation-height vegetation point-cloud nfi forest

title_for_slug: vegetation-height-model-lidar-nfi

en:
Resource Title: 2024 Vegetation Height Model LiDAR NFI
    Size: 149786984448 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fenvicloud%2F&prefix=doi%2Fenvidat.664%2F2024%2F
    Description: Vegetation Height Model of Switzerland for the year 2024 (cloud optimized geotiff)
and Metadata file with information about acquisition date and point densities of used LiDAR data for tiles of 1 x 1 km (geopackage).

en:
Resource Title: 2025 Vegetation Height Model LiDAR NFI (current)
    Size: 160202280141 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fenvicloud%2F&prefix=doi%2Fenvidat.664%2F2025%2F
    Description: Vegetation Height Model of Switzerland for the year 2025 (cloud optimized geotiff)
and Metadata file with information about acquisition date and point densities of used LiDAR data for tiles of 1 x 1 km (geopackage).

point-cloud

display_name: point-cloud

three-dimensional

display_name: three-dimensional

vegetation

display_name: vegetation

vegetation-classification

display_name: vegetation-classification

vegetation-height

display_name: vegetation-height


en:
The data show locations of the most recent outdoor activity (referred to as restorative location, RL) of Swiss residents, and descriptive characteristics of these places. The data was collected via an online participatory mapping survey targeting residents of urban, peri-urban, and rural areas across Switzerland. Respondents were selected using a stratified random sampling method, considering the greenness and noise exposure of their home locations, and demographic factors such as age, gender, and language region.
The survey was conducted using Maptionnaire software (https://maptionnaire.com). Participants were asked to map the location of their most recent outdoor activity (referred to as restorative location, RL) and provide additional information on their experience in these places. The responses were integrated with the quantitative spatial information (biophysical landscape characteristics, referred to as metrics) on the visited locations, obtained from spatial and remote sensing data.

en: Restorative locations from participatory mapping by Swiss residents

en: soundscape sensory-perception traffic-noise quiet-areas gis-analysis restorative-environments

envidat

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: EnviDat: the Environmental Data Portal

envi

en: Environment

gis-analysis

display_name: gis-analysis

quiet-areas

display_name: quiet-areas

restorative-environments

display_name: restorative-environments

sensory-perception

display_name: sensory-perception

soundscape

display_name: soundscape

traffic-noise

display_name: traffic-noise


en:
This study examines the siting scenarios for renewable energy infrastructure (REI) in Switzerland, incorporating the external costs of ecosystem services and, innovatively, social preferences. This approach challenges the prevalent techno-economic siting paradigm, which often overlooks these externalities. To minimize the external costs of the scenarios while maximizing energy yield, Marxan, an optimization software, was employed.
MARXAN was run for 2 versions: a) without ground-mounted open space PV infrastructure (excl. OS) and b) with ground-mounted open space PV infrastructure (incl. OS). In each version optimization was done using ecological costs (ECUess) or social costs (ECUsoc) in a regular grid of 4x4km (planning unit).
File:
PU_data.shp: compressed Shapefile (ESRI) from the MARXAN optimization with 2216 rows (objects) and 18 columns (variables) with sf (simple feature) and data frame classes.
Headers are described below:
X01 = Planning_units (PUs)
X02 = incl.OS. number of times pu was selected in MARXAN  when optimized for ecological costs
X03 = incl.OS. number of times pu was selected in MARXAN when optimized for social  costs
X04 = incl.OS. ecological costs (ECUess) of pu when realizing the total energy (normalized)
X05 = incl.OS. social costs (ECUsoc) of pu when realizing the total energy (normalized)
X06 = incl.OS. total energy (MWh/a)
X07 = incl.OS. energy from roof-mounted PV infrastructure (MWh/a)
X08 = incl.OS. energy from wind turbines (MWh/a)
X09 = incl.OS. energy from ground-mounted PV infrastructure (MWh/a)

X10 = excl.OS. number of times pu was selected in MARXAN  when optimized for ecological costs
X11 = excl.OS. number of times pu was selected in MARXAN when optimized for social  costs
X12 = excl.OS. ecological costs (ECUess) of pu when realizing the total energy (normalized)
X13 = excl.OS. social costs (ECUsoc) of pu when realizing the total energy (normalized)
X14 = excl.OS. total energy (MWh/a)
X15 = excl.OS. energy from roof-mounted PV infrastructure (MWh/a)
X16 = excl.OS. energy from wind turbines (MWh/a)
X17 = excl.OS. energy from ground-mounted PV infrastructure (MWh/a)
geometry = Simple feature XY geometry (SFC_POINT) each representing the center of a 4x4km planning unit (PU) in EPSG 21781 (CRS CH1903 / LV03).
For MARXAN optimizations (for meaning of standard files in MARXAN see https://scholar.google.ch/scholar_url?url=https://courses.washington.edu/cfr590/software/Marxan1810/marxan_manual_1_8_2.pdf&hl=de&sa=X&ei=NAWHZI6JJ8PFmAGMo47oDQ&scisig=AGlGAw-DBrsV4kUzkR6GkN1jtG66&oi=scholarr), pu_data.shp was used to generate MARXAN files input.dat, pu.dat, puvfeat.dat, spec.dat.
Coordinate Reference System: CH1903 / LV03. EPSG: 21781.

en: Optimizing renewable energy siting in the Swiss landscape

en: marxan ecosystem-services wind-power landscape photovoltaic social-acceptance optimization spatial-planning energy

ecosystem-services

display_name: ecosystem-services

energy

display_name: energy

landscape

display_name: landscape

marxan

display_name: marxan

optimization

display_name: optimization

photovoltaic

display_name: photovoltaic

social-acceptance

display_name: social-acceptance

spatial-planning

display_name: spatial-planning

wind-power

display_name: wind-power


alan-spongy-moth-laboratory-experiment

en:
Data and Code for ALAN Spongy Moth lab experiment
In this repository you will find all the raw datasets used for the data analysis performed in our paper about the impacts of artificial light at night (ALAN) on the development of Spongy Moth caterpillars. The files are attached as a csv file.
Also attached is all the R-code later used for the statistical analysis and for generating the graphics displayed in the paper. This files are attached as an R.file.

en: ALAN Spongy Moth Laboratory Experiment

en: spongy-moth insect-development light-pollution lab-experiment alan

title_for_slug: alan-spongy-moth-laboratory-experiment

en:
Resource Title: BodyMass_analysis.R
    Size: 4254 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/7f7beb40-642a-4a45-a99f-e631c90e1042/resource/0ff15832-2eb3-4420-9afd-869e36ce92ef/download/bodymass_analysis.r
    Description: R code for the bodymass analysis and producing the graphics.

format: OCTET

en:
Resource Title: Pupation_analysis.R
    Size: 7606 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/7f7beb40-642a-4a45-a99f-e631c90e1042/resource/f5ad6fb7-b540-4742-8b77-e5fa86855b1d/download/pupation_analysis.r
    Description: R code for the pupation analysis and producing the graphics.

en:
Resource Title: CoxHazard_KaplanMeier_Mort_Pup.R
    Size: 3933 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/7f7beb40-642a-4a45-a99f-e631c90e1042/resource/0a205353-8812-4f39-af3f-8d67d2d1495c/download/coxhazard_kaplanmeier_mort_pup.r
    Description: R code for the Cox hazard analysis and producing the Kaplan Meier survival curves for both Mortality and Pupation.

en:
Resource Title: SM_R_long_NvK.csv
    Size: 567035 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/7f7beb40-642a-4a45-a99f-e631c90e1042/resource/401242a6-4430-4725-8c41-263a4f769041/download/sm_r_long_nvk.csv
    Description: Raw data modified and used for the Bodymass Analysis

en:
Resource Title: SM_R_NvK.csv
    Size: 56547 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/7f7beb40-642a-4a45-a99f-e631c90e1042/resource/c93124fd-448c-403b-bc42-70f4b6722636/download/sm_r_nvk.csv
    Description: Raw data used for the Pupation and Cox Hazard/Kaplan Meier Analysis.

alan

display_name: alan

insect-development

display_name: insect-development

lab-experiment

display_name: lab-experiment

light-pollution

display_name: light-pollution

spongy-moth

display_name: spongy-moth


en: Site description of the Seehornwald Davos (CH-DAV) research site. The material provided offers information on the biomass and growth of trees in CH-DAV, including supporting materials such as maps, geolocations and analyses. CH-DAV is part of networks such as ICOS, LWF, TreeNet, ICPForests and is dedicated to forest monitoring and research.

en: Site description Davos Seehornwald CH-DAV

en: forest-biomass carbon-dioxide icos eddy-covariance-measurements automated-monitoring forest-monitoring tree-stem ecophysiology forest-dynamics carbon-cycle forest-canopy flux icp-forests dendrometer lwf sap-flow dbh carbon-sequestration stem-growth picea-abies treenet metadata twd forest-ecosystems davos ecosystem-functioning subalpine seehornwald co2 open-data climate-growth forest atmospheric-conditions carbon-storage eddy-covariance climate-change ilter forest-function forest-area forest-characteristics water-relations biomass

en:
Resource Title: CH-DAV_Site_2024_V2.zip
    Size: 27267396 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/4d332ffa-d5f5-413c-ba1c-5f73ceebbed6/resource/41e3d87c-7907-4a01-bf5e-36a0d4457c40/download/ch-dav_site_2024_v2.zip
    Description: Collection of files with information about the research site Seehornwald Davos CH-DAV

en:
Resource Title: CH-DAV_Site_2024.zip
    Size: 34214528 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/4d332ffa-d5f5-413c-ba1c-5f73ceebbed6/resource/73875879-bec0-4e15-a805-e6cd9d4fe596/download/ch-dav_site_2024.zip
    Description: Collection of files with information about the research site Seehornwald Davos CH-DAV

en:
Resource Title: Readme
    Size: 2476 bytes
    Format: application/rtf
    URL: https://www.envidat.ch/dataset/4d332ffa-d5f5-413c-ba1c-5f73ceebbed6/resource/7f13f634-76b5-4d56-aa5a-61140240f616/download/readme.rtf
    Description:

format: rtf

atmospheric-conditions

display_name: atmospheric-conditions

automated-monitoring

display_name: automated-monitoring

biomass

display_name: biomass

carbon-cycle

display_name: carbon-cycle

carbon-dioxide

display_name: carbon-dioxide

carbon-sequestration

display_name: carbon-sequestration

carbon-storage

display_name: carbon-storage

climate-change

display_name: climate-change

climate-growth

display_name: climate-growth

davos

display_name: davos

dbh

display_name: dbh

dendrometer

display_name: dendrometer

ecophysiology

display_name: ecophysiology

ecosystem-functioning

display_name: ecosystem-functioning

eddy-covariance

display_name: eddy-covariance

eddy-covariance-measurements

display_name: eddy-covariance-measurements

flux

display_name: flux

forest

display_name: forest

forest-area

display_name: forest-area

forest-biomass

display_name: forest-biomass

forest-canopy

display_name: forest-canopy

forest-characteristics

display_name: forest-characteristics

forest-dynamics

display_name: forest-dynamics

forest-ecosystems

display_name: forest-ecosystems

forest-function

display_name: forest-function

forest-monitoring

display_name: forest-monitoring

icos

display_name: icos

icp-forests

display_name: icp-forests

ilter

display_name: ilter

lwf

display_name: lwf

metadata

display_name: metadata

open-data

display_name: open-data

picea-abies

display_name: picea-abies


forest-canopy-layer

en: This dataset provides a LiDAR-based classification of the forest canopy layer for selected Swiss cantons. Combining an area-based and tree-centred approach, forest areas are categorised into four canopy layering classes that differentiate between single-layered and multi-layered canopies.

en: Forest Canopy Layer

en: forest-management forest-canopy nfi mountain-forest forest-structure lidar

envidat

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: EnviDat: the Environmental Data Portal

title_for_slug: forest-canopy-layer

envi

en: Environment

en:
Resource Title: IFA_Data.csv
    Size: 3837 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/01aaf289-b61f-43ab-be61-39d8e4705c30/resource/a15b3bdb-c45e-4a8a-b526-8d43b265862c/download/ifa_data.csv
    Description: Validation data from the Independent Forester Assessment (IFA). x- /y-coordinate (CH1903+ LV03) and layer (1: single-layered; 2: multi-layered; -999: NA).

en:
Resource Title: ForestCanopyLayer.tif
    Size: 558505541 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/01aaf289-b61f-43ab-be61-39d8e4705c30/resource/90bcde13-c71d-4618-a198-362ebccd0516/download/forestcanopylayer.tif
    Description: Forest Canopy Layer (class 1: single-layered; class 2: probably single-layered; class 3: probably multi-layered; class 4: multi-layered).

format: TIFF

media_type: image/tiff

en:
Resource Title: ForestCanopyLayer.qml
    Size: 8139 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/01aaf289-b61f-43ab-be61-39d8e4705c30/resource/378dbed2-33a3-4398-8a41-5c341d27557d/download/forestcanopylayer.qml
    Description: QGIS QML file with stored layer style definitions for the ForestCanopyLayer.tif.

forest-management

display_name: forest-management

forest-structure

display_name: forest-structure

lidar

display_name: lidar

mountain-forest

display_name: mountain-forest

nfi

display_name: nfi


en:
This dataset contains the input data generated for the pseudo-global warming (PGW) experiments used in the study of the March 2022 Antarctic heatwave with the CRYOWRF model. It includes:
- PGW delta fields derived from CMIP6 simulations, used to perturb ERA5 reanalysis data for past and  future storyline experiments.
- Model configuration files required to reproduce the CRYOWRF simulations.
These resources allow researchers to reproduce the experimental setup and generate model outputs consistent with the results presented in the study.

en: Storylines of the March 2022 heatwave event at Concordia - East Antarctica

en: event-attribution extreme-events climate-change cmip6 atmospheric-rivers era5 heatwave antarctica

en:
Resource Title: PGW_deltas.tar
    Size: 3701853962 bytes
    Format: application/x-tar
    URL: https://www.envidat.ch/dataset/79b7c457-e689-49bd-8330-29b0508d2b2c/resource/9936c23c-dc86-4eaa-8a6f-5a49cffb338c/download/pgw_deltas.tar
    Description: PGW delta fields derived from CMIP6 simulations, used to perturb ERA5 reanalysis data for future storyline experiments.

en:
Resource Title: CRYOWRF_ANT_20220315_ConfigFiles.tar
    Size: 912259096 bytes
    Format: application/x-tar
    URL: https://www.envidat.ch/dataset/79b7c457-e689-49bd-8330-29b0508d2b2c/resource/7f77d116-cd3b-4eec-a6d6-061b0d7b43f6/download/cryowrf_ant_20220315_configfiles.tar
    Description: Model configuration files required to reproduce the CRYOWRF simulations over Antarctica.

antarctica

display_name: antarctica

atmospheric-rivers

display_name: atmospheric-rivers

climate-change

display_name: climate-change

event-attribution

display_name: event-attribution

extreme-events

display_name: extreme-events

heatwave

display_name: heatwave


en:
This dataset contains gridded snow depth projections for Switzerland at 1km X 1km resolution. This study was supported by Speed2Zero. The dataset contains the following structure:
- data/data_reference/hs_reference_1991_2020.nc
- data/data_projection_flat/hs_projection_flat.nc
- data/data_projection_aspect/hs_projection_aspect.nc
The data is based on climatological SPASS dataset (Marty et al., 2015) using the reference period 1991-2020. For this reference data, median snow depth evolution, as well as 5th and 95th percentile were computed for each grid point and can be found in this dataset (data/data_reference/*). Future snow depth evolutions for the flat field (data/data_projection_flat/*) were projected for the temperature scenarios +1°C, +2°C, +3°C and +4°C (deviation from 1991-2020 annual mean temperature in Switzerland) following the literature-based approach of Richter and Marty, 2026. Furthermore, this dataset contains gridded projections for north- and south-facing ascpects with a slope anle of 15° (data/data_projection_aspect/*). Detailed can be found in the related publication Richter et al., in preparation.
The files in this data set have a similar structure. Each file is a NetCDF-file containing snow depths (median, 5th, 95th percentile) for each day of the year, coordinate, temperature scenario (data_projection_flat and data_projection_aspect) and aspect (data_projection_aspect).
References:
Marty, C., Michel, A., Jonas, T., Steijn, C., Muelchi, R., and Kotlarski, S.: SPASS – new gridded climatological snow datasets for Switzerland: potential and limitations, The Cryosphere, 19, 4391–4407, https://doi.org/10.5194/tc-19-4391-2025, 2025.
Richter, B. and Marty, C.: Technical note: Literature based approach to estimate future snow, Hydrol. Earth Syst. Sci., 30, 659–670, https://doi.org/10.5194/hess-30-659-2026, 2026.
Richter et al., Gridded snow depth projections, in prepration.

en: Gridded projections of snow depth for Switzerland

en: scenario snow-depth swiss-alps climate-change snow switzerland future gridded-data climate-projections

climate-projections

display_name: climate-projections

future

display_name: future

gridded-data

display_name: gridded-data

scenario

display_name: scenario

snow

display_name: snow

snow-depth

display_name: snow-depth

swiss-alps

display_name: swiss-alps

switzerland

display_name: switzerland


individual-detected-trees

en: This dataset provides individual detected trees for selected Swiss Cantons (Appenzell Outer-Rhodes - AR, Grisons - GR, Nidwald - NW, Obwald - OW and St. Gall - SG), including the derived diameter at breast height and the derived NFI development stage. Data show the Individual detected trees (ITD) with the x- and y-positions of each detected tree based on a spike-free vegetation height model based on nationwide LiDAR data. The shapefile contains the following attributes: tree height [m] (Height), estimated diameter at breast height [cm] (BHD), and the NFI development stage (Ent; 1: young growth/thicket (- 12 cm); 2: pole timber (12-30 cm); 3: young timber (31-40 cm); 4: medium timber (41-50 cm); 5: old timber (- 50 cm).

en: Individual Detected Trees

en: nfi development-stage itd mountain-forest forest-structure forest-management

title_for_slug: individual-detected-trees

development-stage

display_name: development-stage

forest-management

display_name: forest-management

forest-structure

display_name: forest-structure

itd

display_name: itd


iwet-insect-weight-estimation-tool

en:
Because of some corrections, a new version of the whole Dataset will be published soon.
We present a novel tool called IWET (Insect Weight Estimation Tool) for estimating morphometrics of arthropod samples using image analysis. IWET is a Java application built around ImageJ libraries and is designed to estimate length, width, area and body mass of individual arthropods from images of specimens sorted into pre-defined taxonomic groups. Using allometric relationships from Sohlströhm et al. (2018), we developed specific regression models to calculate both the individual body mass and the total biomass of arthropod taxonomic groups. IWET provides several advantages: it is non-destructive, cost-effective, and capable of processing large numbers of samples, making it particularly well-suited for biodiversity monitoring projects investigating changes in abundance and biomass, as well as for automating measurements such as specimen length, width and area.

en: IWET – Insect Weight Estimation Tool

en: image-analysis biomass arthropods temperate body-size automatic-detection allometric

envidat

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.

title_for_slug: iwet-insect-weight-estimation-tool

en:
Resource Title: R-Script_and_suppl.zip
    Size: 2243953 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/3d7e7b44-af7f-4824-84b8-fc2abd1f04b3/resource/6ca41ee8-bda9-4e65-b859-1dd9c0184c50/download/r-script_and_suppl.zip
    Description: R Script for Regression models

en:
Resource Title: IWET_EnviDat.zip
    Size: 10255073 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/3d7e7b44-af7f-4824-84b8-fc2abd1f04b3/resource/7f5681bf-cf49-47b0-a8cc-a1e8dde61354/download/iwet_envidat.zip
    Description: IWET-Software with prorpriety and model files (inkl. materials)

allometric

display_name: allometric

arthropods

display_name: arthropods

automatic-detection

display_name: automatic-detection

biomass

display_name: biomass

body-size

display_name: body-size

image-analysis

display_name: image-analysis

temperate

display_name: temperate


en:
This dataset contains all necessary data to reproduce the validation simulations performed in the linked manuscript.
The validation data includes:
- 2 cm DEM of the study site Weissfluhjoch. For the 3 cm DEM of the study site Chant Sura, see [this dataset](https://www.doi.org/10.16904/envidat.174).
- roughness index rasters for both study sites
- rock point clouds of EOTA and Real Equant shapes
- release points used in the validation simulations of both study sites
- a sample XML input file for the rockfall simulator

en: Validation Data for Rockfall Simulations with Geometric Roughness Model

en: validation rockfall surface-roughness numerical-simulation natural-hazards

envidat

en: EnviDat: the Environmental Data Portal

envi

en: Environment

en:
Resource Title: Roughness Index Rasters
    Size: 36884 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/b6c60fc1-448d-445b-98bf-57806bbade9e/resource/2c863503-c73d-4b97-a660-d2998b717093/download/roughness.zip
    Description: Roughness index rasters used for the validation simulations. They have a resolution of 3 m.

en:
Resource Title: Sample Simulation
    Size: 126372 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/b6c60fc1-448d-445b-98bf-57806bbade9e/resource/230c5218-e7a2-4e4f-8633-0c00695cff71/download/sample_sim.zip
    Description: This dataset contains a small sample simulation to showcase the recommended folder/file structure to run rockfall simulations. The input parameters for the simulation can be changed in the XML file, which is then also used as input for the rockfall simulator.

en:
Resource Title: DEM Weissfluhjoch
    Size: 1005521469 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/b6c60fc1-448d-445b-98bf-57806bbade9e/resource/9598c524-85b4-4dad-981c-59a126314973/download/dem_weissfluhjoch_2cm.tif
    Description: Digital Elevation Model (DEM) of validation test site Weissfluhjoch with a grid resolution of 2 cm. The DEM for test site Chant Sura can be found in the linked dataset.

en:
Resource Title: Rock Pointclouds
    Size: 3779 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/b6c60fc1-448d-445b-98bf-57806bbade9e/resource/c99baa33-50ba-480a-8e4b-82450130900b/download/rocks.zip
    Description: Rock point clouds of EOTA and Real Equant shapes

en:
Resource Title: Release Points
    Size: 4649 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/b6c60fc1-448d-445b-98bf-57806bbade9e/resource/636d34b5-5031-4bb6-aa28-b3d1cb11b80e/download/release.zip
    Description: Release points used in the validation simulations of both study sites. Use the *.txt files as input for the simulator.

natural-hazards

display_name: natural-hazards

numerical-simulation

display_name: numerical-simulation

rockfall

display_name: rockfall

surface-roughness

display_name: surface-roughness

validation

display_name: validation


sliding-deadwood-geometry-generator

en: This dataset contains a python code to create deadwood log geometries as well as sample data used for simulations of sliding deadwood with RAMMS::Rockfall.

en: Sliding Deadwood Geometry Generator

en: natural-hazards forest-management mass-movements protection-forest deadwood

title_for_slug: sliding-deadwood-geometry-generator

en:
Resource Title: Sample Data
    Size: 108780 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/a6325cb3-bdb3-4b7c-90f6-1ca41c159918/resource/5ba5fd5d-1b1e-485f-ab24-422df5a509ac/download/sample_data.zip
    Description: Contains all necessary data to do a sample simulation of sliding deadwood:
- Deadwood log geometries (*.pts)
- Release points of the logs (*.shp)
- Treefiles (*.txt), containing the locations, heights, BHD and energy absorption capacities of the standing trees

The data is from the two case studies Gruobenwald and Rhäzüns presented in the linked publication. The DEM for these case studies can be downloaded from swisstopo (swissALTI3D dataset)

en:
Resource Title: Sliding deadwood geometry generator
    Size: 6062 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/a6325cb3-bdb3-4b7c-90f6-1ca41c159918/resource/6fc08e26-7bbe-45c9-8ea1-ab85c36c1793/download/sliding_deadwood_geometry-main.zip
    Description: Python code to create deadwood logs as input for RAMMS::Rockfall.

This version was used for the linked publication. The most recent version and the full documentation can be found in the [GitHub Repository](https://github.com/joelborner/sliding_deadwood_geometry)

deadwood

display_name: deadwood

mass-movements

display_name: mass-movements

protection-forest

display_name: protection-forest


en:
The dataset contains the time series of: overland flow (OF) and topsoil interflow (TIF) measured at two large runoff plots (8 m large by 10 m long), streamflow from two sub-catchments of the Studibach catchment, and streamflow from the outlet of the Studibach and Erlenbach catchments. The time series cover 12 rainfall events in the summer 2022.
OF, TIF and the streamflow of the sub-catchments and the Studibach catchment outlet were measured at a 5-min resolution. The streamflow at the Erlenbach catchment outlet was measured at 10-min resolution.
The precipitation was measured with a tipping bucket at the Erlenhöhe meteorological station and has a 10-min resolution.

en: Time serie of overland flow, topsoil interflow and stream flow in the Studibach Catchment and streamflow in the Erlenbach catchment - summer 2022

en: topsoil-interflow studibach alptal erlenbach streamflow runoff-plot overland-flow upscaling

envidat

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.

alptal

display_name: alptal

erlenbach

display_name: erlenbach

overland-flow

display_name: overland-flow

runoff-plot

display_name: runoff-plot

streamflow

display_name: streamflow

studibach

display_name: studibach

topsoil-interflow

display_name: topsoil-interflow

upscaling

display_name: upscaling