fr: Pour déterminer l'affectation du sol sur l'ensemble du territoire cantonal, celui-ci est réparti en zones, dont les périmètres sont fixés par des plans annexés à la loi d'application de la loi fédérale sur l'aménagement du territoire. Il y a trois catégories de zones: - les zones ordinaires - les zones de développement - les zones protégées Le plan de zones fixe pour chaque périmètre les dispositions d'aménagement qui lui sont liées (affectations autorisées, types de constructions, etc.). On peut ainsi citer les zones 1,2 et 3 du centre urbain, principalement destinées aux grandes maisons d'habitation, aux commerces et autres activités du secteur tertiaire, les zones 5 destinées aux villas, les zones industrielles et artisanales, les zones de verdure etc. Le projet permet la saisie, la mise à jour, la gestion et la diffusion des plans de zones du canton ainsi que des données quantitatives et qualitatives qui lui sont liées.

fr: RDPPF - Zones d'affectation primaires

fr: geocat.ch permalien

soci

fr: Population et société

educ

fr: Éducation, culture et sport

ener

fr: Énergie

heal

fr: Santé

gove

fr: Gouvernement et secteur public

regi

fr: Régions et villes

tran

fr: Transports


$oid: OBSOLETE

name: Office cantonal de l'agriculture et de la nature

fr: En fonction de leur distance au centre ville, les différents espaces du canton peuvent être répartis en diverses situations. Le Centre est le coeur de la cité. La couronne entoure le centre et est également densément bâti. La périphérie est constituée par des zones plus ouvertes à l'urbanisation peu dense. Les bourgs, zones villas et hameaux font partie de cette catégorie car ils offrent un caractère urbanisé qui influe sur les fonctions de la forêt. L'espace rural inclut tant les espaces agricoles que les écosystèmes ou milieux naturels. A la différence du Plan Directeur Cantonal, le tissu bâti des hameaux et des villages n'en fait pas partie en raison de ses interactions spécifiques avec la forêt .

fr: Plan directeur forestier - Rapport à l'urbain

canton-geneve

approval_status: approved

fr: Le canton de Genève s'est engagé dans une démarche d’ouverture des données publiques depuis plusieurs années. Sur ce portail, vous trouvez toutes les données provenant de l'administration cantonale genevoise qui répondent aux principes de l'Open Government Data, ainsi que les géodonnées OpenData du Système d’Information du Territoire à Genève (SITG).

de: Der Kanton Genf verfolgt seit einigen Jahren eine Open Data Strategie. Auf diesem Portal finden Sie Daten aus der kantonalen Verwaltung die die Prinzipien des Open Government Data erfüllen, sowie sämtliche "Open-Geodaten" des Genfer Geoinformationssystems (SITG). ***Die Datensätze finden Sie unter der betreffenden Organisation***

en: The canton of Geneva has been committed to making public data open for a few years now. On this portal, you will find all the data from the Geneva cantonal administration that meet the principles of Open Government Data, as well as geodata from the geographic information system of Geneva (SITG) that fall under the OpenData policy.

it: Il cantone di Ginevra si è impegnato in un processo di apertura dei dati pubblici per diversi anni. Su questo portale, è possibile trovare tutti i dati dell'amministrazione del cantone di Ginevra che soddisfano i principi del Open Government Data, inoltre ai geodati OpenData del Sistema Informativo Territoriale di Ginevra (SITG).

de: Kanton Genf

en: Canton of Geneva

fr: Canton de Genève

it: Cantone di Ginevra

political_level: canton

state: active

type: organization

de: geocat.ch Permalink

it: geocat.ch link permanente

en: geocat.ch permalink

spatial: GE

type: dataset

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

regi

de: Regionen und Städte

en: Regions and cities

it: Regioni e città

envi

de: Umwelt

en: Environment

fr: Environnement

it: Ambiente

format: API

format: WFS

format: WMS

fr: Serveur de fichiers Opendata

fr: CSV

format: CSV

media_type: text/csv

fr: GDB

format: ZIP

fr: SHP

format: SHP

value: GEOCAT canton GE


fr: ISOLIGNES DE LA CONDUCTIVITE THERMIQUE MOYENNE DES TERRAINS QUATERNAIRES JUSQU'À LA MOLASSE Les isolignes ont été calculées à partir du modèle numérique représentant les variations de conductivité thermique moyenne des terrains quaternaires (jusqu'à la molasse), avec une équidistance de 0,2 [W/(mK)]. Afin de donner un rendu plus doux les courbes de niveaux ont été retravaillées par le biais d'un lissage qui ne modifie en rien l'information de base. Modèle numérique avec une maille de 5m. Ces indications ont un caractère général et sont insuffisantes au stade d'un projet d'exécution. Elles ne sauraient en aucun cas remplacer la nécessité d'études géotechniques, le cas échéant. De plus, ces données sont à replacer dans un contexte global de planification multi-usages du sous-sol. Ainsi pour tout projet lié au sous-sol, il conviendra de prendre en compte de nombreuses thématiques complémentaires telles que : - la protection des nappes phréatiques (eau potable) - l'utilisation de l'espace (ouvrages, infrastructures et réseaux divers...) - la possibilité d'extraction de matériaux. - le potentiel géothermique. Rapports sur la géothermie genevoise: https://www.ge.ch/publication?titre=g%C3%A9othermie&type=All&dossier=All&organisation=All

fr: Isolignes conductivité thermique moyenne terrains quaternaires - Molasse

fr: Service de géologie, sols et déchets

fr: geocat.ch permalien

soci

de: Bevölkerung und Gesellschaft

en: Population and society

fr: Population et société

it: Popolazione e società

educ

de: Bildung, Kultur und Sport

en: Education, culture and sport

it: Istruzione, cultura e sport

ener

de: Energie

en: Energy

it: Energia

heal

de: Gesundheit

en: Health

it: Salute

gove

de: Regierung und öffentlicher Sektor

en: Government and public sector

it: Governo e settore pubblico

tran

de: Verkehr

en: Transport

it: Trasporti

econ

de: Wirtschaft und Finanzen

en: Economy and finance

fr: Économie et finances

it: Economia e finanze


plan-reseau-tpg

name: Direction de l'information du territoire

fr: Ce plan de l'ensemble du réseau TPG est réalisé sur la base du plan de ville, dont la rédaction cartographique spéciale, en nuances de gris, permet une bonne lisibilité des lignes et arrêts TPG. Produit chaque année pour l'édition du livret "Plan officiel de Genève", sa rasterisation permet d'obtenir les images disponibles aux partenaires du SITG ainsi qu'aux particuliers. Date d'acquisition : 2017 Millésimes 2012, 2013, 2014, 2015, 2016 également disponibles Méthode d'acquisition : Rasterisation BD SITG/TPG

fr: Plan réseau TPG

title_for_slug: plan-reseau-tpg

tran

fr: Transports


fr: Le principe de base consiste à superposer une couche vecteurs récente sur une image d'un plan raster plus ancien et à les comparer. La digitalisation des parcelles Billon à été obtenue par la superposition de la couche DPS_GRANGE_PARC sur le plan raster BILLON (1726-1728) et par comparaison des objets entre eux, selon la méthode régressive, toutes les parcelles présentant la même géométrie que celles issues de la couche DPS_GRANGE_PARC ont été récupérées depuis celle-ci et celles exprimant une différence partielle ou totale ont été digitalisées sur la base du plan raster BILLON (1726-1728).

fr: Parcelles Billon (1726-1728)

canton-geneve

fr: Le canton de Genève s'est engagé dans une démarche d’ouverture des données publiques depuis plusieurs années. Sur ce portail, vous trouvez toutes les données provenant de l'administration cantonale genevoise qui répondent aux principes de l'Open Government Data, ainsi que les géodonnées OpenData du Système d’Information du Territoire à Genève (SITG).

fr: Office du patrimoine et des sites

educ

fr: Éducation, culture et sport

ener

fr: Énergie

gove

fr: Gouvernement et secteur public

regi

fr: Régions et villes


fr: DOCUMENTS DES SCHEMAS DE PROTECTION, D'AMENAGEMENT ET DE GESTION DES EAUX (SPAGE)  Cette couche permet l'accès, via des hyperliens, à l'ensemble des documents relatifs aux Schéma de protection, d'aménagement et de gestion des eaux (SPAGE) qui ont été adoptés.

fr: Documents schémas protection, aménagement et gestion eaux (SPAGE)

canton-geneve

fr: Canton de Genève

fr: Office cantonal de l'eau

heal

fr: Santé

agri

fr: Agriculture, pêche, sylviculture et alimentation

envi

fr: Environnement


fr: Les murs, bien qu'étant des éléments artificiels du paysage sont des structures accueillant une grande richesse biologique : champignons, lichens, lézards, fougères, etc. y trouvent refuge. Les mousses notamment les utilisent comme support pour leur croissance, chaque type de mur (calcaire, béton, mortier, etc.) est favorable à des mousses bien spécifiques, ce qui explique en partie la richesse des espèces présentes sur le canton de Genève (plus de 300). Malheureusement peu pris en considération, ces biotopes artificiels méritent une attention particulière de la part des chargés de l'aménagement du territoire, des services communaux mais aussi des particuliers. En effet tous ces partenaires sont un jour confrontés à la question du nettoyage et de l'entretien des murs, des interventions qui peuvent conditionner la disparition des espèces qui s'y établissent.

fr: Inventaire des murs d'intérêt pour la biodiversité

fr: Office cantonal de l'agriculture et de la nature

fr: geocat.ch permalien

econ

fr: Économie et finances

fr: Serveur de fichiers Opendata

fr: CSV

fr: GDB

fr: GML

format: GML

fr: KML

format: KML

fr: SHP


refpu-cours-eau-ligne

fr: Le référentiel des projets urbains (RefPU) est la version numérique des plans d'affectations produits par l'autorité compétente en matière d'aménagement du territoire du canton de Genève. Pour l'heure, seuls les plans localisés de quartier (PLQ) sont publiés dans ce référentiel. A terme, les modifications de zone (MZ) ainsi que les plans directeurs de zones industrielles (PDZI), mais aussi les plans de site (PS) produits par l'office du patrimoine et des sites, pourraient également y être publiés. La thématique RefPU permet de consulter l'ensemble des données géographiques et alphanumériques contenues dans un PLQ et de les mettre en regard avec d'autres données territoriales issues d'autres politiques publiques ou des données de référence (limites communales, cadastre, courbes de niveau, etc.). Les PLQ publiés sur ce thème font l'objet d'une consultation publique, conformément aux exigences légales en vigueur. Les données qu'ils contiennent sont mises à la disposition des partenaires du SITG et consultables sur ce guichet. Néanmoins, hormis le périmètre de validité d'un plan adopté qui a une valeur légale contraignante, les autres données géographiques et alphanumériques mises à disposition, ne créent aucun autre droit ou obligation que ceux découlant des textes et documents légalement mis en procédure, adoptés et publiés. En premier lieu, le RefPU permet de géoréférencer chaque plan, et par extension, chacun des éléments constitutifs du plan. Il offre également une unicité de représentation graphique standardisée pour l'ensemble des plans localisés de quartier grâce à une charte graphique et un modèle de données géomatique uniformisés. La thématique RefPU offre également la possibilité de représenter simultanément dans une carte numérique l'ensemble des PLQ numérisés sur tout le territoire genevois. Grand avantage par rapport au format papier ou pdf, le guichet numérique permet d'interroger la valeur de chaque donnée contenue dans une couche du modèle. Note: tout comme sur un plan en format papier ou pdf, les PLQ numériques se composent d'un plan d'aménagement et d'un plan des équipements, distincts. Les deux plans peuvent être consultés séparément.

fr: Refpu cours eau (ligne)

canton-geneve

fr: Le canton de Genève s'est engagé dans une démarche d’ouverture des données publiques depuis plusieurs années. Sur ce portail, vous trouvez toutes les données provenant de l'administration cantonale genevoise qui répondent aux principes de l'Open Government Data, ainsi que les géodonnées OpenData du Système d’Information du Territoire à Genève (SITG).

fr: Office de l'urbanisme

title_for_slug: refpu-cours-eau-ligne

regi

fr: Régions et villes


fr: La véritable représentation du lac de Genève et de ses alentours (Vero dissegno del lago di Geneva con i luoghi chel circondano) a été dessinée par l'artiste Domenico Alfani et gravée par Jacques Fornazeris. Cette vue à vol d'oiseau est dédiée à l'infante Catherine d'Autriche, fille de Philippe II d'Espagne et duchesse de Savoie. L'image s'inscrit dans la tradition des cartes lémaniques inaugurée par Sebastian Münster (avec une vue de petit format publiée dans sa Cosmographie en 1544) et par Johannes Stumpf (dans son atlas de la Suisse – le premier jamais édité – paru en 1548) ; cette tradition connaît un premier sommet avec la carte de Thomas Schöpf de 1578, qui sert de modèle aux cartographes de la fin du XVIe siècle et du début du XVIIe.

fr: Carte Alfani/Fornazeris V. 1589

canton-geneve

fr: Canton de Genève

fr: Direction de l'information du territoire

soci

fr: Population et société

educ

fr: Éducation, culture et sport

agri

fr: Agriculture, pêche, sylviculture et alimentation

gove

fr: Gouvernement et secteur public

envi

fr: Environnement

tran

fr: Transports

fr: Serveur de fichiers COG

format: TIFF

media_type: image/tiff


fr: La couche des parkings à usage public recense tous les parkings publics. Il s'agit des parkings publics ou privés qui sont accessibles au public. Il s'agit cependant d'une sélection des parkings les plus importants, tous les parkings n'étant pas représentés. Cette donnée est gérée en collaboration avec la Fondation des Parkings. Certains de ces parkings peuvent être consultés sur Infomobilité avec leur taux de remplissage en temps réel.

fr: Parkings à usage public

fr: Office cantonal des transports

fr: geocat.ch permalien

econ

fr: Économie et finances

fr: Serveur de fichiers Opendata

fr: CSV

fr: GDB

fr: GML

fr: KML

fr: SHP


fr: Bases d'ambulances et services de l'aide sanitaire urgente du canton de Genève.

fr: Bases d'ambulances

canton-geneve

fr: Le canton de Genève s'est engagé dans une démarche d’ouverture des données publiques depuis plusieurs années. Sur ce portail, vous trouvez toutes les données provenant de l'administration cantonale genevoise qui répondent aux principes de l'Open Government Data, ainsi que les géodonnées OpenData du Système d’Information du Territoire à Genève (SITG).

fr: Canton de Genève

fr: Direction générale de la santé

heal

fr: Santé

regi

fr: Régions et villes


fr: Secteurs identifiés à assainir dans le cadre des études d'assainissement du bruit routier.

fr: Secteurs à assainir selon PAB

fr: Office cantonal du génie civil

tran

fr: Transports


fr: Cartographie des murs antibruit mis en oeuvre comme mesure d'assainissement du bruit routier

fr: Murs antibruit (mesure d'assainissement OPB)

fr: geocat.ch permalien

econ

fr: Économie et finances

fr: Serveur de fichiers Opendata


fr: Classification en 6 niveaux des déperditions thermiques des toitures mesurées à l'aide d'une caméra embarquée sur hélicoptère. Les données sont acquises à 500 mètres d'altitude à une vitesse de 70 à 120 km/h à l'aide d'une caméra infrarouge thermique centrée sur 9,75 microns. L'information thermique acquise est retraitée après la reclassification afin de tenir compte de l'environnement proche des bâtiments (présence d'arbres, relief, etc.) L'attribut NIVEAU_DEPERDITION renseigne le niveau de déperdition thermique. Objectif Vol hélicoptère effectué les 16 et 17 mars 2009, entre 7h00 et 8h30, hygrométrie 65%, temp. ext. au sol 0 à -1°C, vitesse du vent 2km/h NNE. Aucune précipitation depuis 120 heures

fr: Rayonnement thermique des toitures

fr: Office cantonal de l'énergie

educ

fr: Éducation, culture et sport

ener

fr: Énergie

envi

fr: Environnement

fr: CSV

fr: GDB

fr: GML

fr: KML

fr: SHP


irradiation-solaire-annuelle

fr: L'irradiation solaire correspond à l'énergie solaire incidente sur une surface (pixel) durant une période donnée. Elle exprimée en kWh /m2, c'est-à-dire en quantité d'énergie solaire par m2. La couche raster de l'irradiation solaire annuelle est est élaborée à l'échelle du Grand Genève qui englobe le Canton de Genève, le District de Nyon (Canton de Vaud) et plusieurs communautés de communes francaises des départements de l'Ain et de la Haute-Savoie. Elle est calculée à partir du modèle numérique d'altitude (données LIDAR) et de données météorologiques (Metenorm). La présente version s'appuie sur les données LIDAR 2017 pour le Canton de Genève, LIDAR 2015 pour la partie vaudoise, et LIDAR 2014 pour la partie francaise (les potentiels calculés ne tiennent pas compte de bâtiments construits après cette date). Résolution de la grille numérique : 0.5m X 0.5m. L'élaboration de cette couche, courant été 2019, s'inscrit dans le cadre du programme INTERREG V France-Suisse et du projet G2 Solaire. Ce dernier permet à la fois de mettre à jour le précédent cadastre solaire genevois de 2016 (sous mandat de l'OCEN - Office cantonal de l'énergie - et des SIG - Services industriels genevois), et de l'étendre sur le reste du Grand Genève. Concernant l'approche méthodologique utilisée: - Voir rapport cadastre solaire phase 1 - Potentiel irradiation brutes (décembre 2011) http://ge.ch/sitg/geodata/SITG/CATALOGUE/INFORMATIONS_COMPLEMENTAIRES/RAPPORT_CADASTRE_SOLAIRE_PHASE_1_2011.pdf - Voir rapport cadastre solaire phase 2 - Potentiel photovoltaïque et termique (octobre 2014) http://ge.ch/sitg/geodata/SITG/CATALOGUE/INFORMATIONS_COMPLEMENTAIRES/RAPPORT_CADASTRE_SOLAIRE_PHASE_2_2014.pdf

fr: Irradiation solaire annuelle

canton-geneve

fr: Le canton de Genève s'est engagé dans une démarche d’ouverture des données publiques depuis plusieurs années. Sur ce portail, vous trouvez toutes les données provenant de l'administration cantonale genevoise qui répondent aux principes de l'Open Government Data, ainsi que les géodonnées OpenData du Système d’Information du Territoire à Genève (SITG).

fr: Canton de Genève

title_for_slug: irradiation-solaire-annuelle

regi

fr: Régions et villes

fr: Serveur de fichiers COG


fr: Cette donnée indique la planification intentionnelle des réseaux thermiques structurants (RTS) à l'échelle du bâtiment (EGID), à savoir une estimation de la date de disponibilité des réseaux thermique. Les zones de développements sont précisées dans une autre couche "Zones de développement des réseaux thermiques structurants". Cette donnée est une intention de développement, et peut être sujette à modification ou mise à jour. Toute demande de raccordement reste soumise à une étude de faisabilité technique. Pour toute demande : https://ww2.sig-ge.ch/partenaires/vos-demarches/raccordements

fr: Planification Des Réseaux Thermiques Structurants Par Bâtiment

fr: geocat.ch permalien

econ

fr: Économie et finances

fr: Serveur de fichiers Opendata


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

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

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

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

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: Amt für Statistik

en: Office of Statistics

political_level: other

liechtenstein

capacity: public

key: guid

key: uri

value: DCAT Harvester Amt für Statistik FL

soci

fr: Population et société

intr

de: Internationale Themen

en: International issues

fr: Questions internationales

it: Tematiche internazionali

en: Data structure in German

de: Datenstruktur auf Deutsch

format: JSON

media_type: application/json

de: Datenwürfel auf Deutsch

en: Data cube in German

format: HTML

media_type: text/html

de: Datenwürfel auf Englisch

en: Data cube in English

en: Data structure in English

de: Datenstruktur auf Englisch

asylum

display_name: asylum

asylwesen

display_name: asylwesen


en: Number of asylum seekers, temporarely admitted and beneficiaries of protection by Year, Citizenship, Sex and Residence permit category

de: Bestand der Asylbewerber, vorläufig Aufgenommenen und Schutzbedürftigen bei Jahr, Staatsbürgerschaft, Geschlecht und Bewilligungstyp

de: Bestand der Asylbewerber, vorläufig Aufgenommenen und Schutzbedürftigen nach Staatsbürgerschaft, Geschlecht und Bewilligungstyp seit 2000

en: Number of Asylum applicats, provisionally accepted applicants and persons in need of protection by citizenship, sex and residence permit category since 2000


de: Erwerbssituation in Haushalten nach Stichtag, Haushaltstyp, Stellung im Haushalt, Beschäftigungsgrad, Partner/Partnerin Beschäftigungsgrad und Jüngste Kinder in Haushalten

en: Labour situation in households by Reference date, Type of household, Status in household, Work rate, Partner work rate and Children in household

de: Erwerbssituation in Haushalten nach Haushaltstyp, Stellung im Haushalt, Beschäftigungsgrad und Alter des jüngsten Kindes

en: Labour situation in households by type of household, status in household, work rate of reference persons of households and children by age class

soci

de: Bevölkerung und Gesellschaft

en: Population and society

haushalte-familien

display_name: haushalte-familien

households-families

display_name: households-families


de: Verlust des Landesbürgerrechts durch ausdrücklichen Verzicht bei Jahr und Künftige Staatsbürgerschaft

en: Loss of national citizenship through explicit renunciation by Year and Future citizenship

de: Verlust des Landesbürgerrechts durch ausdrücklichen Verzicht nach künftiger Staatsbürgerschaft seit 2012

en: Loss of national citizenship through explicit renunciation by future citizenship since 2012

einburgerungen-registrierungen

display_name: einburgerungen-registrierungen

naturalisations

display_name: naturalisations


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

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

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

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


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

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

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

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

econ

de: Wirtschaft und Finanzen

en: Economy and finance

beschaftigung

display_name: beschaftigung

employment

display_name: employment


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

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

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

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

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: Amt für Statistik

en: Office of Statistics


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

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

de: Beschäftigte nach Voll-/ Teilzeit, Wohnsitz, Arbeitsgemeinde und Geschlecht seit 2000

en: Persons employed by part-/ full-time, place of residence, municipality of work and sex since 2000

en: Data structure in German

de: Datenstruktur auf Deutsch

de: Datenwürfel auf Englisch

en: Data cube in English

en: Data structure in English

de: Datenstruktur auf Englisch

de: Datenwürfel auf Deutsch

en: Data cube in German


en: Persons employed by Year, Part-/full-time, Place of residence, Age group and Sex

de: Beschäftigte bei Jahr, Voll- /Teilzeit, Wohnsitz, Altersklasse und Geschlecht

de: Beschäftigte nach Voll-/ Teilzeit, Wohnsitz, Altersklasse und Geschlecht seit 2008

en: Persons employed by part-/ full-time, place of residence, age group and sex since 2008


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

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

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

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


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

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

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

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


de: Einbürgerungen, Registrierungen bei Jahr, Wohnsitz und Einbürgerungsart

en: Naturalisations,  Registrations by Year, Residence and Type of naturalisation

de: Einbürgerungen, Registrierungen nach Art und Wohnsitz seit 1970

en: Naturalisation, registration by type and place of residence since 1970


de: Einbürgerungen im ordentlichen Verfahren bei Jahr, Vormalige Staatsbürgerschaft und Geschlecht

en: Naturalisations by ordinary procedure by Year, Former citizenship and Sex

de: Einbürgerung im ordentlichen Verfahren nach vormaliger Staatsbürgerschaft und Geschlecht seit 1988

en: Naturalisations by ordinary procedure by former citizenship and sex since 1988


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

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

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

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

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


de: Erleichterte Einbürgerung infolge Eheschliessung bei Jahr, Heimatgemeinde und Geschlecht

en: Facilitated naturalisation due to marriage by Year, Home municipality and Sex

de: Erleichterte Einbürgerung infolge Eheschliessung nach Heimatgemeinde und Geschlecht seit 1987

en: Facilitated naturalisation due to marriage by home municipality and sex since 1987

en: Data structure in German

de: Datenstruktur auf Deutsch

de: Datenwürfel auf Englisch

en: Data cube in English


en: Facilitated naturalisation due to marriage by Year, Former citizenship and Sex

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

de: Erleichterte Einbürgerung infolge Eheschliessung nach vormaliger Staatsbürgerschaft und Geschlecht seit 1987

en: Facilitated naturalisation due to marriage by former citizenship and sex since 1987

de: Datenwürfel auf Deutsch

en: Data cube in German

en: Data structure in English

de: Datenstruktur auf Englisch


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

en: Facilitated naturalisation due to long-term residence by Year, Home municipality and Sex

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

en: Facilitated naturalisation due to long-term residence by home municipality and sex since 2000


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

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

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

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


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

en: Facilitated naturalisation due to long-term residence by Year, Sex and Age group

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

en: Facilitated naturalisation due to long-term residence by sex and age group since 2000


de: Registrierung des Landesbürgerrechts aufgrund StGH-Urteil bei Jahr, Wohnsitz und Altersklasse

en: Registration of national citizenship on the basis of the Constitutional Court ruling by Year, Place of residence and Age group

de: Registrierung des Landesbürgerrechts aufgrund StGH-Urteil nach Wohnsitz und Altersklasse seit 1997

en: Registration of national citizenship on the basis of the Constitutional Court ruling by place of residence and age group since 1997


de: Registrierung des Landesbürgerrechts aufgrund StGH-Urteil bei Jahr, Heimatgemeinde und Wohnsitz

en: Registration of national citizenship on the basis of the Constitutional Court ruling by Year, Home municipality and Place of residence

de: Registrierung des Landesbürgerrechts aufgrund StGH-Urteil nach Heimatgemeinde und Wohnsitz seit 1997

en: Registration of national citizenship on the basis of the Constitutional Court ruling by home municipality and place of residence since 1997

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


de: Privathaushalte nach Stichtag, Haushaltstyp, Haushaltsgrösse und Gemeinde

en: Private households by Reference date, Type of household, Size of household and Municipality

de: Privathaushalte nach Haushaltstyp, Haushaltsgrösse und Gemeinde

en: Private households by type of household, size of household and municipality

soci

de: Bevölkerung und Gesellschaft

en: Population and society

en: Data structure in German

de: Datenstruktur auf Deutsch

de: Datenwürfel auf Englisch

en: Data cube in English


de: Eltern in Familienhaushalten mit ledigen Kindern unter 16 Jahren nach Stichtag, Geschlecht, Arbeitsmarktstatus und Familientyp

en: Parents in family households by Reference date, Sex, Status on the labour market and Type of family

de: Eltern in Familienhaushalten mit ledigen Kindern unter 16 Jahren nach Haushaltstyp, Geschlecht und Arbeitsmarktstatus

en: Parents in family households with unmarried child(ren) younger than 16 years by type of household, sex and status on the labour market

en: Data structure in English

de: Datenstruktur auf Englisch

de: Datenwürfel auf Deutsch

en: Data cube in German


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

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

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

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

intr

de: Internationale Themen

en: International issues


de: Privathaushalte mit Personen ab 65 Jahren nach Stichtag, Haushaltstyp und Gemeinde

en: Private households with people aged 65 years and over by Reference date, Type of household and Municipality

de: Privathaushalte mit Personen ab 65 Jahren nach Haushaltstyp und Gemeinde

en: Private households with people aged 65 years and over by type of household and municipality


de: Privathaushalte nach Stichtag, Bewohnertyp und Gemeinde

en: Private households by Reference date, Tenure status and Municipality

de: Privathaushalte nach Bewohnertyp und Gemeinde

en: Private households by tenure status and municipality


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.

de: Amt für Statistik

en: Office of Statistics


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

soci

de: Bevölkerung und Gesellschaft

en: Population and society

en: Data structure in German

de: Datenstruktur auf Deutsch


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

en: Data structure in English

de: Datenstruktur auf Englisch

de: Datenwürfel auf Englisch

en: Data cube in English


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

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

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

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

de: Datenwürfel auf Deutsch

en: Data cube in German


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

fr: Environnement

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.

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:

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).

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