en: Selon la statistique structurelle des entreprises (STATENT), toute personne qui exerce une activité professionnelle indépendante ou salariée et dont le revenu est obligatoirement soumis à une cotisation AVS représente un emploi. Les résultats sont arrondis à l'entier. Par conséquent, leur somme peut ne pas correspondre exactement au total ou aux sous-totaux publiés par l'OCSTAT. Pour plus d'informations sur cette statistique: https://statistique.ge.ch/domaines/06/06_02/methodologie.asp

canton-geneve

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.

en: Statistique structurelle des entreprises (information à la commune)

en: GDB


secteurs-statistiques-etendus-au-lac

$oid: OBSOLETE

en: Le découpage du territoire du canton de Genève en secteurs permet de mettre à disposition des données statistiques agrégées à une échelle intermédiaire. Ce jeu de donnée représente les secteurs étendus, c’est-à-dire que pour les secteurs situés en bordure de lac, la surface du lac est incluse dans la surface du secteur. Cette couche a pour objectif de couvrir l’ensemble du territoire cantonal (lac y compris) avec le découpage en secteurs pour la Ville de Genève et correspondant aux communes pour le reste du canton.

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***

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

en: Direction de l'information du territoire

fr: geocat.ch permalien

de: geocat.ch Permalink

en: geocat.ch permalink

it: geocat.ch link permanente

en: Secteurs statistiques étendus au lac

it: Secteurs statistiques étendus au lac

de: Secteurs statistiques étendus au lac

fr: Secteurs statistiques étendus au lac

title_for_slug: secteurs-statistiques-etendus-au-lac

type: dataset

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

fr: Éducation, culture et sport

it: Istruzione, cultura e sport

heal

de: Gesundheit

en: Health

fr: Santé

it: Salute

regi

de: Regionen und Städte

en: Regions and cities

fr: Régions et villes

it: Regioni e città

envi

de: Umwelt

en: Environment

fr: Environnement

it: Ambiente

econ

de: Wirtschaft und Finanzen

en: Economy and finance

fr: Économie et finances

it: Economia e finanze

format: API

format: WFS

format: WMS

en: Serveur de fichiers Opendata

it: Serveur de fichiers Opendata

de: Serveur de fichiers Opendata

fr: Serveur de fichiers Opendata

en: CSV

it: CSV

de: CSV

fr: CSV

format: SERVICE

protocol: CSV


en: Le découpage du territoire du canton de Genève en secteurs permet de mettre à disposition des données statistiques agrégées à une échelle intermédiaire. Ce jeu de donnée représente les secteurs statistiques, soit le découpage de la Ville de Genève en 16 secteurs terrestres. Hors de la Ville de Genève, le périmètre des secteurs correspond au périmètre des communes.

it: Direction de l'information du territoire

en: Secteurs statistiques

it: Secteurs statistiques

de: Secteurs statistiques

fr: Secteurs statistiques

it: GDB


en: AGREGATION DES STATISTIQUES CANTONALES DE LA POPULATION ET DU PARC IMMOBILIER (Information à la commune) Les informations sur la population proviennent de la statistique cantonale de la population, celles sur les bâtiments et les logements proviennent de la statistique du parc immobilier. La statistique cantonale de la population prend en compte les personnes d'origine suisse et les ressortissants étrangers titulaires d'une autorisation de séjour officielle qui habitent effectivement dans le canton. Elle se fonde sur les informations détenues par l'Office cantonal de la population et des migrations (OCPM). 'Pour plus d'informations sur les bases méthodologiques de cette statistique: https://statistique.ge.ch/domaines/01/01_01/methodologie.asp La statistique du parc immobilier repose sur le Registre fédéral des bâtiments et des logements (RegBL). Pour des raisons liées au rythme de mise à jour de l'information, il est possible que des bâtiments présents dans le RegBL soient absents du SITG. En effet, le RegBL présente un état en fin de trimestre, alors que les informations du SITG sont actualisées quotidiennement. La date de mise à jour est de 2 mois après la fin d'un trimestre Pour plus d'informations sur cette statistique: https://statistique.ge.ch/domaines/09/09_02/methodologie.asp#1

canton-geneve

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.

en: Office cantonal de la statistique

it: Office cantonal de la statistique

de: Office cantonal de la statistique

fr: Office cantonal de la statistique

en: Agrégation statistiques population et parc immobilier (communes)

de: GDB

fr: GDB

protocol: GDB

en: GML

it: GML

de: GML


en: ISOLIGNES CAPACITE CALORIFIQUE MOYENNE - SONDES DE 300 METRES DE PROFONDEUR Les isolignes ont été calculées à partir du modèle numérique représentant les variations de capacité calorifique du sous-sol pour des sondes de 300m de profondeur, avec une équidistance de 0,1 [MJ/(m3.K)]. 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

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).

en: Canton of Geneva

en: Service de géologie, sols et déchets

it: Service de géologie, sols et déchets

de: Service de géologie, sols et déchets

fr: Service de géologie, sols et déchets

en: geocat.ch permalink

en: Isolignes capacité calorifique moyenne - sondes 300 m

en: GDB

fr: GML

protocol: GML


en: Cet ombrage est généré a partir du MNA_SURFACE_2017, résultant d'une acquisition lasergrammétrique aérienne de février 2017.

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***

it: Cantone di Ginevra

en: Direction de l'information du territoire

it: geocat.ch link permanente

en: Mna Relief Ombre Terrain 2017 (Pixel 0.5 M)

regi

en: Regions and cities

envi

en: Environment

value: GEOCAT canton GE


zones-determinants-la-taxe-touristique

en: La taxe de promotion du tourisme est percue auprès des commercants qui bénéficient directement ou indirectement des retombées du tourisme. Cette taxe diffère selon le secteur géographique (A ou B) ou se trouve située l'entreprise assujettie (voir article 25 alinéa 2 lettre b de la loi sur le tourisme et les articles 12 et 26 du réglement d'application de la loi sur le tourisme). Voir http://ge.ch/impots/taxe-sur-le-tourisme

canton-geneve

de: Kanton Genf

fr: Canton de Genève

en: Service de la promotion économique

it: Service de la promotion économique

de: Service de la promotion économique

fr: Service de la promotion économique

en: Zones déterminants la taxe touristique

it: Zones déterminants la taxe touristique

de: Zones déterminants la taxe touristique

fr: Zones déterminants la taxe touristique

title_for_slug: zones-determinants-la-taxe-touristique

econ

en: Economy and finance

en: Serveur de fichiers Opendata

en: CSV


postes-de-police

en: Localisation à l'adresse des postes de police.

canton-geneve

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.

en: Corps de police

it: Corps de police

de: Corps de police

fr: Corps de police

fr: geocat.ch permalien

de: geocat.ch Permalink

en: Postes de police

it: Postes de police

de: Postes de police

fr: Postes de police

title_for_slug: postes-de-police

soci

de: Bevölkerung und Gesellschaft

en: Population and society

fr: Population et société

it: Popolazione e società

gove

de: Regierung und öffentlicher Sektor

en: Government and public sector

fr: Gouvernement et secteur public

it: Governo e settore pubblico


en: Recensement des points de distribution des comprimés d'iode. La distribution des comprimés d'iode peut être ordonnée par la Confédération en cas d'événement nucléaire majeur. Voir la carte : https://app2.ge.ch/tergeoportal/home/webmap/viewer.html?webmap=cb3a18e7082a4fd4876ed4cf5b667f73

canton-geneve

en: Canton of Geneva

en: Office cantonal de la protection de la population et des affaires militaires

en: geocat.ch permalink

en: Lieux de distributions des comprimés d'iode

heal

de: Gesundheit

en: Health

fr: Santé

it: Salute

regi

de: Regionen und Städte

fr: Régions et villes

it: Regioni e città

it: Serveur de fichiers Opendata


points-de-rencontre-durgence

en: Les points de rencontre d'urgence (PRU) sont des lieux d'accueil prédéterminés pour la population en cas de catastrophe ou de situation d'urgence, lui permettant de recevoir des informations officielles et un accès aux services d'urgence, en particulier lorsque le réseau téléphonique et l'accès à Internet ne sont plus disponibles. Chaque commune du canton dispose d'un ou de plusieurs PRU. Ils sont généralement situés dans des bâtiments publics facilement accessibles, comme des écoles ou des salles polyvalentes et sont facilement repérables: en cas d'incident, un drapeau est placé devant le site et des indicateurs de direction sont installés aux alentours. Une carte répertoriant les PRU est disponible sur le site de l'État de Genève.

it: Office cantonal de la protection de la population et des affaires militaires

en: Points De Rencontre D'Urgence

it: Points De Rencontre D'Urgence

de: Points De Rencontre D'Urgence

fr: Points De Rencontre D'Urgence

title_for_slug: points-de-rencontre-durgence

educ

de: Bildung, Kultur und Sport

en: Education, culture and sport

fr: Éducation, culture et sport

it: Istruzione, cultura e sport

en: Regions and cities


secteurs-de-ramonage-officiels

en: Les secteurs de ramonage, appellés également arrondissements, au nombre de sept, délimitent les zones d'intervention pour les travaux de ramonage effectués par des entreprises spécialisées, concessionnaires. Les émanations de fumées sont contrôlées périodiquement, conformément aux dispositions fédérales (OPair). La sécurité civile assure la saisie informatique de tous ces prélèvements pour un suivi de conformité sur plus de 35 000 installations de chauffage.

de: Office cantonal de la protection de la population et des affaires militaires

en: Secteurs de ramonage officiels

it: Secteurs de ramonage officiels

de: Secteurs de ramonage officiels

fr: Secteurs de ramonage officiels

title_for_slug: secteurs-de-ramonage-officiels

en: Serveur de fichiers Opendata

de: Serveur de fichiers Opendata

fr: Serveur de fichiers Opendata

en: CSV

it: CSV

de: CSV

fr: CSV

en: GDB

it: GDB

en: GML

it: GML


en: INVENTAIRE PBC - COLLECTIONS (PROTECTION DES BIENS CULTURELS) En application de l'art.3 de l'ordonnance du 17 octobre 1984 sur la protection des biens culturels en cas de conflit armé, les biens culturels qui doivent être protégés en priorité sont consignés dans un inventaire. Celui-ci doit être régulièrement mis à jour par les cantons en collaboration avec le Comité suisse de la PBC. L'inventaire suisse des biens culturels d'importance nationale et régionale est approuvé par le Conseil fédéral. L'édition 2009 est actuellement en vigueur. Des planifications visant à limiter les dégâts liés aux conflits et aux catastrophes doivent être établies pour les objets figurant dans l'inventaire suisse.

canton-geneve

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).

it: Cantone di Ginevra

fr: Office cantonal de la protection de la population et des affaires militaires

it: geocat.ch link permanente

en: Inventaire PBC - Collections

it: Inventaire PBC - Collections

de: Inventaire PBC - Collections

fr: Inventaire PBC - Collections

soci

en: Population and society

de: GDB

fr: GDB

de: GML

fr: GML


en: INVENTAIRE PBC - IMMEUBLES, OUVRAGES OU LIEUX (PROTECTION DES BIENS CULTURELS) En application de l'art.3 de l'ordonnance du 17 octobre 1984 sur la protection des biens culturels en cas de conflit armé, les biens culturels qui doivent être protégés en priorité sont consignés dans un inventaire. Celui-ci doit être régulièrement mis à jour par les cantons en collaboration avec le Comité suisse de la PBC. L'inventaire suisse des biens culturels d'importance nationale et régionale est approuvé par le Conseil fédéral. L'édition 1995 est actuellement en vigueur. Des planifications visant à limiter les dégâts liés aux conflits et aux catastrophes doivent être établies pour les objets figurant dans l'inventaire suisse.

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).

de: Kanton Genf

en: Canton of Geneva

fr: Canton de Genève

en: Office cantonal de la protection de la population et des affaires militaires

en: geocat.ch permalink

en: Inventaire PBC - Immeubles, ouvrages ou lieux


en: Cartographie des toitures végétalisées sur l'ensemble du canton de Genève. Classification des toitures en onze classes différentes. Etat des lieux effectué par rapport à l'orthophoto 2009, avec une mise à jour de l'état en 2011. Ce projet a été élaboré en collaboration avec les Conservatoire et jardin botaniques de la ville de Genève.

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

fr: geocat.ch permalien

de: geocat.ch Permalink

en: Toitures végétalisées

it: Toitures végétalisées

de: Toitures végétalisées

fr: Toitures végétalisées

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

envi

de: Umwelt

en: Environment

fr: Environnement

it: Ambiente


plan-reseau-tpg

en: 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

en: Direction de l'information du territoire

en: Plan réseau TPG

it: Plan réseau TPG

de: Plan réseau TPG

fr: Plan réseau TPG

title_for_slug: plan-reseau-tpg

regi

en: Regions and cities

tran

de: Verkehr

en: Transport

fr: Transports

it: Trasporti


en: L'Office médico-pédagogique (OMP) est reconnu par la Direction générale de la santé comme un établissement médical public, qui assure des soins psychiques destinées aux mineurs scolarisés dans les établissements publics ou résidant dans le canton de Genève. Le pôle médico-psychologique couvre dans ce cadre les prestations de soins, de promotion et de prévention de la santé (consultations, centres et interventions en milieu scolaire). Les consultations de l'OMP proposent une aide aux enfants et adolescents rencontrant des difficultés médico-psychologiques, logopédiques ou de psychomotricité.

canton-geneve

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.

en: Direction générale de l'office médico-pédagogique

en: Pôle médico-psychologique de l'Office médico-pédagogique

heal

de: Gesundheit

en: Health

fr: Santé

it: Salute

regi

de: Regionen und Städte

fr: Régions et villes

it: Regioni e città

en: Serveur de fichiers Opendata

it: Serveur de fichiers Opendata

en: CSV

en: GDB

en: GML


en: BiblioDIP, le réseau des bibliothèques scolaires, regroupe l'ensemble des bibliothèques scolaires du département de la formation et de la jeunesse (DFJ), du SEM Documentation et de la Cité des métiers. Les bibliothèques du réseau partagent un catalogue collectif géré avec le logiciel Flora et accessible via son portail.

canton-geneve

en: Canton of Geneva

en: Service écoles-médias

it: Service écoles-médias

de: Service écoles-médias

fr: Service écoles-médias

en: geocat.ch permalink

en: BiblioDIP : Réseau des bibliothèques scolaires

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

fr: Éducation, culture et sport

it: Istruzione, cultura e sport


en: Localisation des écoles de commerce

it: Localisation des écoles de commerce

de: Localisation des écoles de commerce

fr: Localisation des écoles de commerce

en: Direction générale de l'enseignement secondaire II

en: Ecoles de commerce

it: Ecoles de commerce

de: Ecoles de commerce

fr: Ecoles de commerce

regi

en: Regions and cities

de: Serveur de fichiers Opendata

fr: Serveur de fichiers Opendata

it: CSV

de: CSV

fr: CSV

it: GDB


en: L'école primaire constitue la première étape de la scolarité obligatoire. Elle concerne les élèves de 4 à 12 ans et se décline sur huit années de scolarité réparties en deux cycles : - le cycle élémentaire (CE) des années1P à 4P pour les élèves de 4 à 8 ans - le cycle moyen (CM) des années 5P à 8P pour les élèves de 8 à 12 ans. Les objectifs d'apprentissage, fixés par le Plan d'études romand, cherchent à développer chez les élèves leur personnalité, leur créativité ainsi que leurs aptitudes intellectuelles, manuelles, physiques et artistiques. Le principe d'une école inclusive vise à offrir à chaque élève l'environnement scolaire le plus adapté lui permettant de maximiser son potentiel, quels que soient ses besoins, son handicap, son talent, son origine et ses conditions de vie économiques et sociales. La lutte contre l'échec scolaire, notamment avec le réseau d'enseignement prioritaire, et l'intégration des élèves allophones, notamment par les classes d'accueil, sont des priorités majeures poursuivies dès la première année d'école.

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).

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).

it: Cantone di Ginevra

en: Direction générale de l'enseignement obligatoire

it: geocat.ch link permanente

en: Ecoles primaires (bâtiments)

it: Ecoles primaires (bâtiments)

de: Ecoles primaires (bâtiments)

fr: Ecoles primaires (bâtiments)

de: GDB

fr: GDB

it: GML

de: GML


en: L'enseignement spécialisé s'adresse à des élèves de 4 à 20 ans. Il offre une scolarisation et un encadrement adaptés aux besoins des élèves présentant des handicaps et/ou des besoins éducatifs particuliers. Les élèves bénéficient d'un programme d'apprentissage et de développement individualisé, qui tient compte de leurs particularités et de leurs besoins. Les élèves qui fréquentent l'enseignement spécialisé présentent des handicaps et/ou des difficultés importantes d'apprentissage et de développement.

de: Kanton Genf

fr: Canton de Genève

en: Direction générale de l'office médico-pédagogique

fr: geocat.ch permalien

de: geocat.ch Permalink

en: Enseignement spécialisé

it: Enseignement spécialisé

de: Enseignement spécialisé

fr: Enseignement spécialisé

en: Serveur de fichiers Opendata

en: CSV

en: GDB


en: Localisation des écoles de culture générale

en: Canton of Geneva

it: Direction générale de l'enseignement secondaire II

en: geocat.ch permalink

en: Ecoles de culture générale

it: Ecoles de culture générale

de: Ecoles de culture générale

fr: Ecoles de culture générale

en: GML


it: L'école primaire constitue la première étape de la scolarité obligatoire. Elle concerne les élèves de 4 à 12 ans et se décline sur huit années de scolarité réparties en deux cycles : - le cycle élémentaire (CE) des années1P à 4P pour les élèves de 4 à 8 ans - le cycle moyen (CM) des années 5P à 8P pour les élèves de 8 à 12 ans. Les objectifs d'apprentissage, fixés par le Plan d'études romand, cherchent à développer chez les élèves leur personnalité, leur créativité ainsi que leurs aptitudes intellectuelles, manuelles, physiques et artistiques. Le principe d'une école inclusive vise à offrir à chaque élève l'environnement scolaire le plus adapté lui permettant de maximiser son potentiel, quels que soient ses besoins, son handicap, son talent, son origine et ses conditions de vie économiques et sociales. La lutte contre l'échec scolaire, notamment avec le réseau d'enseignement prioritaire, et l'intégration des élèves allophones, notamment par les classes d'accueil, sont des priorités majeures poursuivies dès la première année d'école.

it: Direction générale de l'enseignement obligatoire

en: Ecoles primaires (points)

it: Ecoles primaires (points)

de: Ecoles primaires (points)

fr: Ecoles primaires (points)

soci

en: Population and society

educ

en: Education, culture and sport

regi

it: Regioni e città


en: Localisation des collèges

it: Localisation des collèges

de: Localisation des collèges

fr: Localisation des collèges

canton-geneve

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.

en: Direction générale de l'enseignement secondaire II

en: Collèges

it: Collèges

de: Collèges

fr: Collèges

soci

it: Popolazione e società

educ

it: Istruzione, cultura e sport

de: Regionen und Städte

en: Regions and cities

it: Serveur de fichiers Opendata


en: Établissements des diverses facultés de l'enseignement Universitaire

canton-geneve

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).

en: Université de Genève

it: Université de Genève

de: Université de Genève

fr: Université de Genève

en: Universités

it: Universités

de: Universités

fr: Universités

soci

de: Bevölkerung und Gesellschaft

de: Bildung, Kultur und Sport

regi

fr: Régions et villes

it: CSV

it: GDB


en: Établissements délivrant une formation professionnelle ouvrant les portes de professions variées et pointues. Elle passe par un apprentissage en entreprise (système dual) ou en école (système plein temps).

canton-geneve

it: Cantone di Ginevra

de: Direction générale de l'enseignement secondaire II

it: geocat.ch link permanente

en: Formation professionnelle

it: Formation professionnelle

de: Formation professionnelle

fr: Formation professionnelle

soci

fr: Population et société

educ

fr: Éducation, culture et sport

en: Serveur de fichiers Opendata

de: Serveur de fichiers Opendata

en: CSV

de: CSV

en: GDB

it: GML


en: Le cycle d'orientation regroupe les années de scolarité 9, 10 et 11 Harmos (ex- 7, 8 et 9) de la scolarité obligatoire. Il représente le secondaire I. Il dispense un enseignement de culture générale et vise à développer l'ouverture d'esprit, la faculté de discernement, l'autonomie, la solidarité, toutes compétences qui contribuent à l'éducation citoyenne. A l'articulation entre l'école primaire et le secondaire II, il assure un équilibre dans le développement des différentes aptitudes (intellectuelles, manuelles, physiques et artistiques) des adolescentes et des adolescents, qui leur permet de trouver du sens dans leurs apprentissages et leur donne progressivement les éléments de choix pour leur parcours de formation. Les périmètres administratifs de cette classe d'objet, servent d'aide à la décision lors de chaque nouvelle répartition scolaire.

canton-geneve

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: Canton of Geneva

en: Direction générale de l'enseignement obligatoire

en: geocat.ch permalink

en: Cycles d'orientation (points)

it: Cycles d'orientation (points)

de: Cycles d'orientation (points)

fr: Cycles d'orientation (points)

fr: Serveur de fichiers Opendata

fr: CSV

de: GDB

en: GML

de: GML


de: EnviDat

en:
Lebensraumkarte der Schweiz v1.2 2025/La carte des milieux naturels de Suisse v1.2 2025
The FOEN funded project ‘The Habitat Map of Switzerland:continual improvement’ conducted at the WSL, has improved on versions 1.0 and 1.1 of a map of Swiss habitats according to the TypoCH classification (Delarze et al. 2015). The datasets is now separated into two data sets:  The Habitat Map of Switzerland v1.2, ground cover layer,  and The Habitat Map of Switzerland v1.2, individual trees and shrubs outside forest v1.0 (above ground) layer.
The Habitat Map of Switzerland maps the TypoCH habitat types wall-to-wall across the whole of Switzerland, to at least the classification’s 2nd level of detail (where possible to the 3rd level of detail).
Habitats are mapped through a variety of approaches that can be grouped as either:
1: Derived from the existing Swiss-wide datasets a) the high quality landcover mapping from Swisstopo’s Topographical Landscape Model (TLM), b) the harmonised mapping of agricultural fields area from the ‘Landwirtschaftliche Nutzfläche’ (LWN) mapping and, in settlements areas, c) the harmonised cadastral data (‘Amitliche Vermessung’ AV).
2: Modelled within the project using Random Forest or Ensemble Modelling techniques to model the spatial distribution of individual habitat types (further detail below),
3: Combining existing species distribution models to determine habitat types, or
4: Classification with relatively simple rule-sets based on auxiliary spatial datasets, i.e. vegetation height models (based on digital aerial photogrammetry and/or SwissSurface3D aerial laser scanning (ALS) data), the digital terrain model, the normalised difference vegetation index (NDVI) derived from aerial imagery and/or time-series of growing season Sentinel-2 or Planet satellite imagery.
Further detail on the methodology can be found within the README document.

en: The Habitat Map of Switzerland v1_2 2025

en: milieux-naturels grasslands lebensraumkarte random-forest typoch dwarf-shrubs forest habitat-modelling ensemble-modelling sentinel-2 wetland shrub-forest tof remote-sensing urban lidar

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

political_level: other

wsl

capacity: public

key: guid

value: Envidat Harvester

key: uri

envi

de: Umwelt

en: Environment

fr: Environnement

it: Ambiente

en:
Resource Title: Data_Description_Lebensraumkarte_v1_2_Dec2025.pdf
    Size: 645376 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/d6182107-2086-49c0-97dd-f3a77056157c/resource/564b16e5-0523-4431-94bc-3e6d1415c5a1/download/data_description_lebensraumkarte_v1_2_dec2025.pdf
    Description: Data description and documentation of methods

format: PDF

media_type: application/pdf

en:
Resource Title: N2025_HabitatMap_CH_v1_2_20251211.gdb.zip
    Size: 7247757312 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/d6182107-2086-49c0-97dd-f3a77056157c/resource/a90d17bf-221e-4819-a8b1-94b807a33720/download/n2025_habitatmap_ch_v1_2_20251211.gdb.zip
    Description: The Habitat Map of Switzerland version 1.2 2025. Ground cover layer, All of Switzerland. Vector data in file geodatabase format. Is complemented by the trees and shrubs layer.

format: ZIP

media_type: application/zip

en:
Resource Title: TypoCH_NUM_LookupTable_26112025.csv
    Size: 46705 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/d6182107-2086-49c0-97dd-f3a77056157c/resource/28aace15-eb00-4ec2-98ef-b55acc18286f/download/typoch_num_lookuptable_26112025.csv
    Description: Look up table for the data N2025_HabitatMap_CH_v1_2_20251211
giving the full text names for habitat types in German, French and Italian for each habitat type as well as the key for the type of methodology used

format: CSV

media_type: text/csv

en:
Resource Title: LUT_einzelbaum_gebuesch_v_1_0.csv
    Size: 216 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/d6182107-2086-49c0-97dd-f3a77056157c/resource/0035dd77-ea6d-4d3a-89bd-3ad6ee36302e/download/lut_einzelbaum_gebuesch_v_1_0.csv
    Description: Look up table for the data N2025_einzelbaum_gebuesche_v1_0_20251216
giving the full text names for each habitat type in German, French and Italian

en:
Resource Title: N2025_einzelbaum_gebuesche_v1_0_20251216.gdb.zip
    Size: 2469606195 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/d6182107-2086-49c0-97dd-f3a77056157c/resource/cd4e36db-926c-4e2b-bb89-27dbe606dac3/download/n2025_einzelbaum_gebuesche_v1_0_20251216.gdb.zip
    Description: The Habitat Map of Switzerland v1.2, non-forest trees and shrubs layer, v1.0. Vector dataset in file geodatabase format. Complements the ground cover layer dataset

en:
Resource Title: symbology_v1_2_2025.zip
    Size: 61778 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/d6182107-2086-49c0-97dd-f3a77056157c/resource/47c0e914-986f-4ad3-9bcf-49160023c030/download/symbology_v1_2_2025.zip
    Description: Symbology for the Habitat Map, ground layer and tree and shrub layer, and in ArcGIS and QGIS layer formats. German, French and Italian versions

dwarf-shrubs

display_name: dwarf-shrubs

ensemble-modelling

display_name: ensemble-modelling

forest

display_name: forest

grasslands

display_name: grasslands

habitat-modelling

display_name: habitat-modelling

lebensraumkarte

display_name: lebensraumkarte

lidar

display_name: lidar

milieux-naturels

display_name: milieux-naturels

random-forest

display_name: random-forest

remote-sensing

display_name: remote-sensing

shrub-forest

display_name: shrub-forest

tof

display_name: tof

typoch

display_name: typoch

urban

display_name: urban

wetland

display_name: wetland


en:
List of key debris flow variables from the WSL Illgraben monitoring station (2023) such as occurrence date and time, peak flow depth, peak flow velocity, total volume and bulk density.
This table contains values based on our current analysis methods. The list will be updated annually after each debris flow season, and as our methods continue to improve, individual values may change slightly in the future.

en: force-plate debris-flow magnitude illgraben monitoring-station

en:
Resource Title: Readme.txt
    Size: 1523 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/d24373f7-566f-441f-be64-6dbd8d0cc7e4/resource/ea1a8f18-6989-493b-ac4d-72b60966f112/download/readme.txt
    Description:

format: TXT

media_type: text/plain

en:
Resource Title: Illgraben debris-flow characteristics 2023
    Size: 786 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/d24373f7-566f-441f-be64-6dbd8d0cc7e4/resource/8483e966-c20d-4403-93ed-26cc8fbf1d4d/download/df_characteristics_illgraben_2023.csv
    Description: List of key debris flow variables from the WSL Illgraben monitoring station (2023)

debris-flow

display_name: debris-flow

force-plate

display_name: force-plate

illgraben

display_name: illgraben

magnitude

display_name: magnitude

monitoring-station

display_name: monitoring-station


climarctic-seasons

en: This dataset includes measurements of potential microbial functions (potential extracellular enzyme activities and microbial functional genes abundance) and soil physico-chemical properties (pH, nutrients, texture, etc) in biocrusts and underlying mineral soils in High-Arctic tundra near Ny-Ålesund (Svalbard) during each season along a toposequence.

en: Climarctic seasons

en: arctic greenhouse-gases microbial-biodiversity soil microbial-functions

title_for_slug: climarctic-seasons

format: XLS

arctic

display_name: arctic

greenhouse-gases

display_name: greenhouse-gases

microbial-biodiversity

display_name: microbial-biodiversity

microbial-functions

display_name: microbial-functions

soil

display_name: soil


en:
The data supports the paper "Local and landscape factors shape alpha and beta trophic interaction diversity in urban gardens". It provides:
(1) the host-natural enemy interaction networks and network metrics between cavity-nesting bees and wasps and their natural enemies,
 (2) the explanatory variables reflecting urban intensity, temperature, habitat amount and management intensity.
(3) the questionnaires for assessing management intensity.
(4) a thesaurus for the variable names.
(5) a readme file.
(6) the R script used for the analyses.
The data is part of the BetterGardens project. It was sampled in 85 allotment and home gardens in the ctiy of Zurich in 2015 using standardized trapnests.

en: Data on interaction diversity in urban gardens

en: urban-ecology trap-nest bees urban-ecosystems zurich hymenoptera wasps urbanization host-enemy-interactions cavity-nesting management-intensity food-webs

en:
Resource Title: Thesaurus
    Size: 9654 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/2c3c9562-aa8a-4b53-8226-0d9336114bf3/resource/5f684f4b-8b68-4565-bed4-d7b7782cb036/download/thesaurus_data.xlsx
    Description: Variable names and their description.

en:
Resource Title: Script for the analyses v1.0
    Size: 53666 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/2c3c9562-aa8a-4b53-8226-0d9336114bf3/resource/6f3ab130-4a41-4f08-ad61-ef692b41c871/download/script_betgards_clean.r
    Description: Cleaned script to reproduce the analyses

format: OCTET

en:
Resource Title: Not used: data of the study
    Size: 15319 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/2c3c9562-aa8a-4b53-8226-0d9336114bf3/resource/89ab594f-d989-4b77-afce-c6443cc1089d/download/dataset_betgard_predictors.csv
    Description:

en:
Resource Title: Data of the study
    Size: 14672 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/2c3c9562-aa8a-4b53-8226-0d9336114bf3/resource/b181b669-3290-4f59-a30d-2933071e1090/download/dataset_betgard_predictors.csv
    Description: The csv. file contains the response variable "interaction diversity" (idiv), and the values of the predictors used in the paper. The "id" column indicates the garden ID, each row in the dataset correspond to a garden and each column to the response (idiv), an explanatory variable or a descriptor (name, Lat, Long). See the thesaurus and the readme file for extended information on the variables.

en:
Resource Title: Read me file
    Size: 5214 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/2c3c9562-aa8a-4b53-8226-0d9336114bf3/resource/188e4fa7-8cdd-43e5-aae4-ae66c5fa73c5/download/readme.txt
    Description:

en:
Resource Title: Not used: raw questionnaires
    Size: 30569 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/2c3c9562-aa8a-4b53-8226-0d9336114bf3/resource/13da58d0-ae92-4ed3-8c24-f099c4ce400c/download/raw_questionnaires.csv
    Description:

en:
Resource Title: Raw data nests
    Size: 667409 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/2c3c9562-aa8a-4b53-8226-0d9336114bf3/resource/1d6ef3da-b431-4fa9-8463-cad7fc487e6e/download/trapnest_data_bettergardens.csv
    Description: Host-enemy interaction data, used to compute the interaction diversity metrics

en:
Resource Title: Not used: readme
    Size: 6373 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/2c3c9562-aa8a-4b53-8226-0d9336114bf3/resource/d35b12e9-ac52-44d3-82d3-102da2190c2d/download/readme.txt
    Description:

en:
Resource Title: Questionnaires management intensity anonymised
    Size: 30557 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/2c3c9562-aa8a-4b53-8226-0d9336114bf3/resource/0f2466e6-a748-440e-a690-a13992c3e284/download/raw_questionnaires.csv
    Description: Results from the management intensity questionnaires anonymised. IDs are randomized and don't match those in the study data csv

en:
Resource Title: Script for the analyses v2.0
    Size: 54771 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/2c3c9562-aa8a-4b53-8226-0d9336114bf3/resource/94ea4ad2-dbb3-45a6-8782-31ba29b788fb/download/script_betgards_clean.r
    Description: Cleaned script to reproduce the analyses

bees

display_name: bees

cavity-nesting

display_name: cavity-nesting

food-webs

display_name: food-webs

host-enemy-interactions

display_name: host-enemy-interactions

hymenoptera

display_name: hymenoptera

management-intensity

display_name: management-intensity

trap-nest

display_name: trap-nest

urban-ecology

display_name: urban-ecology

urban-ecosystems

display_name: urban-ecosystems

urbanization

display_name: urbanization

wasps

display_name: wasps

zurich

display_name: zurich


en: The dataset contains measured values of soil liquid water content, matric potential, and soil texture of 40 soil samples in Davos, Switzerland. The measurements were used for determining van Genuchten parameter values through fitting of water retention curves, pedotransfer functions, and inverse fitting with Hydrus-1D.

en: Soil measurements of Seewer Berg and Davos

en: glide-snow-avalanche measurements soil lwc soil-texture alpine matric-potential soil-classification

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: texture_data.csv
    Size: 1189 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/3227a87b-43f4-46b8-b0ad-76af36528e03/resource/c1c4be41-28ff-4d20-97d5-aa6c28e74695/download/texture_data.csv
    Description: Texture data of the soil locations

en:
Resource Title: van_genuchten_parameter_values.csv
    Size: 3098 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/3227a87b-43f4-46b8-b0ad-76af36528e03/resource/810089c7-a4f8-4e9a-a9b9-5d1a55676b81/download/van_genuchten_parameter_values.csv
    Description: Complete list of the van Genuchten parameter values for each soil and method

en:
Resource Title: swb_px_direct_fitting.csv
    Size: 7529 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/3227a87b-43f4-46b8-b0ad-76af36528e03/resource/d4114528-bd8a-4335-b9ba-3d8eba7bb1fa/download/swb_px_direct_fitting.csv
    Description: Daily averaged values used for the direct fitting

en:
Resource Title: swb_hydrus_files.zip
    Size: 2906045 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/3227a87b-43f4-46b8-b0ad-76af36528e03/resource/d7ce01fb-cce5-45ea-85ec-44a25ac49a77/download/swb_hydrus_files.zip
    Description: Hydrus files used for the inverse fitting

en:
Resource Title: coordinates.csv
    Size: 1222 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/3227a87b-43f4-46b8-b0ad-76af36528e03/resource/7494a93b-068b-4d87-8f33-a16d197d27bf/download/coordinates.csv
    Description: Coordinates of each soil location, location of the snow profiles, and location of the snow liquid water content measurements

en:
Resource Title: README.txt
    Size: 1599 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/3227a87b-43f4-46b8-b0ad-76af36528e03/resource/ffffb46c-fc15-49a7-b179-e20ff120fb48/download/readme.txt
    Description: Detailed information of each file in the dataset

alpine

display_name: alpine

glide-snow-avalanche

display_name: glide-snow-avalanche

lwc

display_name: lwc

matric-potential

display_name: matric-potential

measurements

display_name: measurements

soil-classification

display_name: soil-classification

soil-texture

display_name: soil-texture


en:
This data set was used in the analysis by Techel et al. **Can model-based avalanche forecasts match the discriminatory skill of human danger level forecasts? A comparison from Switzerland**. Please note that the title of the preprint was *Forecasting avalanche danger: human-made forecasts vs. fully automated model-driven predictions*, submitted to *Natural Hazards Earth System Sciences* on 20 Aug 2024.
The final manuscript used data from three forecasting seasons (2022/2023, 2023/2024, 2024/2025) , the preprint two forecasting seasons (2022/2023, 2023/2024) .
Currently, the repository contains data from two avalanche forecasting seasons in Switzerland. The third season will be added (to be done, 30 June 2025).
**Interpolated predictions**
- The .zip file contains the interpolated predictions for the three models in nowcast- and forecast- mode. This data is needed to reproduce the figures and tables in the submitted preprint.
The other data are the **raw data** underlying the interpolations:
- Avalanche forecast by WSL Institute for Snow and Avalanche Research SLF, published at 17.00 local time, valid for the following 24 hours and relating to dry snow avalanche conditions.
- Model predictions in *nowcast*- and *forecast*-mode for three models (*danger level*, *instability*, *natural avalanche*), valid for 12.00 local time
- Subset of points extracted from GPS tracks (courtesy of Skitourenguru GmbH)
- Avalanche observations - natural avalanches and human-triggered avalanches
- Estimates of the snowline
- Randomly chosen subset of grid points used for generating reference distributions
For details regarding the data sets refer to the publication.

en: Evaluating the predictive performance of human avalanche forecasts and model predictions in Switzerland

en: avalanche-release-probability forecast-models spatial-modelling avalanche-forecast machine-learning

en:
Resource Title: Avalanche forecast
    Size: 10232922 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/f821b651-245a-47b6-95d4-64c5497b8b21/resource/80146d72-7abb-4b39-8336-613b49ed9a3c/download/bulletinprepared.csv
    Description: Data contains forecasts relating to dry-snow avalanche conditions only. Forecast issued at 17.00 local time. Contains variables for the warning region (sector_id), publication date (date), danger level - sub-level combination expressed using numeric values (integer value of danger level -0.33 for sub-level minus, -0 for sub-level neutral, +0.33 for sub-level plus, altitude as indicated in the bulletin, and whether aspect (North = 0, Northeast = 45, ...) was indicated in the bulletin (no: 0, yes: 1).

en:
Resource Title: GPS data and human-triggered avalanches
    Size: 291620 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/f821b651-245a-47b6-95d4-64c5497b8b21/resource/48dfa07a-0f63-4e09-9160-6777085094e6/download/tracksavalanches_parametersubset.csv
    Description: Contains (1) the subset of points extracted from GPS tracks recorded during backcountry touring and uploaded to the website skitourenguru.ch and (2) the corresponding subset of human-triggered avalanches. Data (1) was provided by Skitourenguru GmbH and data (2) was collected by SLF. - Variables contained are date, Swiss coordinates (x, y), aspect (N = 0, NE = 45, ...), elevation (ele), and event (event = 1, non-event = 0).

en:
Resource Title: Natural avalanches 2022/2023
    Size: 73735 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/f821b651-245a-47b6-95d4-64c5497b8b21/resource/ca5a219a-bf68-49ee-82b2-d386e221f5ef/download/natural_avalanches_2022-2023.csv
    Description: Natural avalanche observation (dry avalanches). 2022-2023 forecasting season.

en:
Resource Title: Natural avalanches 2023/2024
    Size: 75730 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/f821b651-245a-47b6-95d4-64c5497b8b21/resource/00b8d3db-ecf1-4a75-9ed9-b707fa2f6324/download/natural_avalanches_2023-2024.csv
    Description: Natural avalanche observation (dry avalanches). 2023/2024 forecasting season.

en:
Resource Title: Human-triggered avalanches 2023/2024
    Size: 38243 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/f821b651-245a-47b6-95d4-64c5497b8b21/resource/4e3cc5ed-ff9a-4d74-ae66-08a868de5332/download/human-triggered_avalanches_2023-2024.csv
    Description: The file contains the reported human-triggered avalanches. The variables are as follows: id, release date (date), name, Swiss coordinates (x,y), elevation (ele), remark, reported avalanche size expressed using avalanche activity index (sizeAAI), aspect, event type (type), event (yes = 1, no = 0)

en:
Resource Title: Snowline estimates 2022/2023
    Size: 2504217 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/f821b651-245a-47b6-95d4-64c5497b8b21/resource/be143570-31b9-4f62-a51c-05bde676f461/download/schneegrenze_beobachtungen_22-23.csv
    Description: Daily snowline estimates provided by observers for North (aspect = 0) and South (aspect = 180) slopes for the 2022/2023 season. For aspects in between North and South, values are interpolated. Contains observation date (date), coordinates (Swiss coordinates x, y), snowline elevation (snowline), and aspect.

en:
Resource Title: Human-triggered avalanches 2022/2023
    Size: 41461 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/f821b651-245a-47b6-95d4-64c5497b8b21/resource/32c06c01-381b-4def-9cc8-b0db86c457e9/download/human-triggered_avalanches_2022-2023.csv
    Description: The file contains the reported human-triggered avalanches. The variables are as follows: id, release date (date), name, Swiss coordinates (x,y), elevation (ele), remark, reported avalanche size expressed using avalanche activity index (sizeAAI), aspect, event type (type), event (yes = 1, no = 0)

en:
Resource Title: Randomly sampled subset of grid points from 1 km DEM
    Size: 17861 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/f821b651-245a-47b6-95d4-64c5497b8b21/resource/021d90e0-68bd-42b6-8815-e26c10d3a363/download/dem_filteredavalancheelevations.csv
    Description: Contains the randomly sampled subset of grid points from 1 km DEM. Three variables: coordinates (x, y) and elevation (elev).

en:
Resource Title: Model predictions (interpolated)
    Size: 85948873 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/f821b651-245a-47b6-95d4-64c5497b8b21/resource/d0599e29-dbf1-4d54-8c4b-10a248fd9fa2/download/model_predictions_interpolated.zip
    Description: The zip file contains csv-files the interpolated model predictions for three models, in forecast and nowcast-mode, for the three different data sets, as described in the publication.

en:
Resource Title: Model predictions (raw data)
    Size: 24502560 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/f821b651-245a-47b6-95d4-64c5497b8b21/resource/cb2836c0-bab2-4686-b38b-2f3562827e89/download/modelpredictions_rawdata.zip
    Description: Model predictions (raw data) for three models, in nowcast and forecast mode. Not all models are available for both seasons. - These data are the basis for the interpolated predictions, which can be found in the other zip-folder

en:
Resource Title: Snowline estimates 2023/2024
    Size: 2695027 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/f821b651-245a-47b6-95d4-64c5497b8b21/resource/87671683-a61d-45c0-92ff-d60fa3bd7e88/download/schneegrenze_beobachtungen_23-24.csv
    Description: Daily snowline estimates provided by observers for North (aspect = 0) and South (aspect = 180) slopes for the 2023/2024 season. For aspects in between North and South, values are interpolated. Contains observation date (date), coordinates (Swiss coordinates x, y), snowline elevation (snowline), and aspect.

avalanche-forecast

display_name: avalanche-forecast

avalanche-release-probability

display_name: avalanche-release-probability

forecast-models

display_name: forecast-models

machine-learning

display_name: machine-learning

spatial-modelling

display_name: spatial-modelling


defoliation-growth-data

en:
Using a literature review extracted data from 26 published papers which had data on individual tree defoliation and growth relationships In Europe.
This data set includes 415 defoliation-growth data points from 16 different tree species covering 15+ countries in Europe. Growth metrics used in individual papers were different, and included increments in terms of volume, tree rings width, radial growth, basal area and biomass. All growth metrics were converted into relative growth (presented in this dataset), expressed as a percentage of the growth of progressively defoliated trees in relation to the growth of those trees adopted as reference (control) defoliation level (i.e. the growth of the lowest defoliation level in each study was used as the reference growth point).

en: Defoliation-Growth data

en: literature-review tree-growth defoliation forest-health relative-growth

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: defoliation-growth-data

envi

en: Environment

defoliation

display_name: defoliation

forest-health

display_name: forest-health

literature-review

display_name: literature-review

relative-growth

display_name: relative-growth

tree-growth

display_name: tree-growth


en: Structural and functional changes of microbial communities in ephemeral stream sediments and adjacent soils between was assessed in an artificial newly created catchment at 3 and 13 years after catchment construction. Bacterial and fungal communities, respiration and extracellular enzyme activities were assessed.

en: Chicken Creek 10 years

en: soil-respiration microbial-respiration beta-diversity microbial-biodiversity ecosystem-functions

en:
Resource Title: Bacterial amplicon sequencing
    Size: 7228320 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/79a1efb9-d34d-41ae-9f17-81e21192c9f7/resource/8fc928d0-5b3f-41a1-9326-e44a412ad6a1/download/bacteria-metagenomics-raw-data.xlsx
    Description: Bacterial ASVs and taxonomic tables

en:
Resource Title: Fungal amplicon sequencing
    Size: 1436018 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/79a1efb9-d34d-41ae-9f17-81e21192c9f7/resource/9195ccc2-7307-4f42-b698-52874737bf40/download/fungal-metagenomics-raw-data.xlsx
    Description: Fungal ASVs and taxonomic tables

en:
Resource Title: Microbial functions and metadata
    Size: 58930 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/79a1efb9-d34d-41ae-9f17-81e21192c9f7/resource/0f3324ec-664c-4977-a325-6bd37e1e52e9/download/functions-and-soil-metadata.xlsx
    Description: Extracellular enzyme activities, respiration and sites metadata

beta-diversity

display_name: beta-diversity

ecosystem-functions

display_name: ecosystem-functions

microbial-biodiversity

display_name: microbial-biodiversity

microbial-respiration

display_name: microbial-respiration

soil-respiration

display_name: soil-respiration


en: This data is related to the publication "Non-native Douglas fir seedlings outcompete native Norway spruce, silver fir and Scots pine under dry and nutrient-poor conditions". It contains growth and biomass data on Douglas fir seedlings in competition with three native conifers and four native broadleaf trees over three years und varying environmental conditions (i.e., water, nutrients and light availabilities).

en: Data on Douglas fir seedlings from the DOCH-WO experiment

en: european-beech douglas-fir drought climate-change norway-spruce

climate-change

display_name: climate-change

douglas-fir

display_name: douglas-fir

drought

display_name: drought

european-beech

display_name: european-beech

norway-spruce

display_name: norway-spruce


en:
This dataset consists of spatio-temporal soil measurements and local snow measurements which were recorded to investigate glide-snow avalanche release in the Seewer Berg slope (Davos, Switzerland) from Nov 2021 to June 2024. Investigations based on this dataset were published in the research article:
Fees A., Lombardo M., van Herwijnen A., Lehmann P., Schweizer J. (2025). The source, quantity, and spatial distribution of interfacial water during glide-snow avalanche release: experimental evidence from field monitoring. The Cryosphere
The dataset consists of:
- Soil measurements (temperature and liquid water content) at soil depths of -5cm, -10cm, and -20cm
- Matric potential at depths of -5cm, -10cm, and -20cm
- Manual snow profiles (Snow height, temperature, liquid water content, bulk density)
- Metadata and manual snow profiles on glide-snow avalanches that released in the Seewer Berg slope
- Snow height, air temperature and rain simulated with SNOWPACK.

en: Spatio-temporal soil and local snow monitoring in a glide-snow avalanche prone slope above Davos Switzerland

en: snow-profile avalanche soil-moisture glide-snow-avalanche avalanche-activity

en:
Resource Title: reference_location_sensors.csv
    Size: 4600810 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f67ef742-fc62-497f-b34a-434ce587ba5c/resource/f6bfdffe-9a8e-4c54-b557-269570fdd74f/download/reference_location_sensors.csv
    Description: This file contains all soil measruements (liquid water content and matric potential) recorded at the reference location.

en:
Resource Title: Setup_Dorfberg.pdf
    Size: 10566929 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/f67ef742-fc62-497f-b34a-434ce587ba5c/resource/18c31d29-b035-4cc4-abbb-89389209963a/download/envidat_setup_dorfberg.pdf
    Description: This file provides an overview of the dataset, the detailed measurement setup, and points out limitations.

en:
Resource Title: snowcover_Seewer_Berg_manual.csv
    Size: 1011 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f67ef742-fc62-497f-b34a-434ce587ba5c/resource/d36d63a4-0924-4c55-b371-2ac0ea642d95/download/snowcover_seewer_berg_manual.csv
    Description:

en:
Resource Title: snow_profiles.csv
    Size: 4103 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f67ef742-fc62-497f-b34a-434ce587ba5c/resource/4a074b12-3c0b-4480-a72d-65368605062b/download/snow_profiles.csv
    Description:

en:
Resource Title: README.txt
    Size: 6245 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/f67ef742-fc62-497f-b34a-434ce587ba5c/resource/72e12972-344e-46ce-84af-ddca8924d9ec/download/readme.txt
    Description: This file explains all provided datasets, variables and their units.

en:
Resource Title: avalanches_seewer_berg_shp.zip
    Size: 28023 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/f67ef742-fc62-497f-b34a-434ce587ba5c/resource/c39ee8f9-4938-4ef5-93d4-78ec270d9749/download/avalanches_seewer_berg_shp.zip
    Description: This file contains the release areas (polygon) of glide-snow avalanches as a shapefile.

en:
Resource Title: snowpack_simulation.csv
    Size: 831451 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f67ef742-fc62-497f-b34a-434ce587ba5c/resource/db4773c1-de98-4020-a199-03987a57362b/download/snowpack_simulation.csv
    Description: This file contains SNOWPACK simulations (snow height, air temperature, rain) at a virtual station in the reference location. The virtual station was interpolated between the Weissfluhjoch (WFJ2) and Klosters Madrisa (KLO2) IMIS Stations.

en:
Resource Title: seewer_berg_sensors.csv
    Size: 73661482 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f67ef742-fc62-497f-b34a-434ce587ba5c/resource/ccde8ed4-1613-41f3-a486-f445837d249f/download/grid_sensors.csv
    Description: This file contains all sensor recordings in the Seewer Berg slope (time interval: 15 minutes).

en:
Resource Title: snow_profiles.csv
    Size: 4103 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f67ef742-fc62-497f-b34a-434ce587ba5c/resource/9f391cd2-3561-4479-bb54-fc1a4612b0b0/download/snow_profiles.csv
    Description: This file contains the aggregated data from manually recorded snow profiles in the reference location, 100m northwest of the Seewer Berg slope and in release areas of glide-snow avalanches in the Seewer Berg slope.

en:
Resource Title: Setup_Dorfberg.pdf
    Size: 10566869 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/f67ef742-fc62-497f-b34a-434ce587ba5c/resource/062a28fe-7ba3-48cf-a134-97b93aadaeab/download/setup_dorfberg.pdf
    Description: This file provides an overview of the dataset, the detailed measurement setup, and points out limitations.

en:
Resource Title: coordinates_sensors_shp.zip
    Size: 1925 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/f67ef742-fc62-497f-b34a-434ce587ba5c/resource/f9aebdee-87a8-424a-8253-c0ede405505f/download/coordinates_sensors_shp.zip
    Description: This file contains the coordinates of the reference location and the sensors in the Seewer Berg slope as a shapefile.

en:
Resource Title: avalanche_activity.csv
    Size: 1098 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f67ef742-fc62-497f-b34a-434ce587ba5c/resource/0d3deb2c-8aad-4837-85ae-5334caa8f298/download/avalanche_activity.csv
    Description: This file contains the daily avalanche activity on Dorfberg as extracted from time-lapse photographs.

avalanche

display_name: avalanche

avalanche-activity

display_name: avalanche-activity

glide-snow-avalanche

display_name: glide-snow-avalanche

snow-profile

display_name: snow-profile

soil-moisture

display_name: soil-moisture


en: Raw data on plant morphological traits, phytochemistry and herbivory that were analyzed in the study entitled: Artificial night light intensity modulates herbivory and phytochemistry in European beech

en: Raw data - Artificial night light intensity modulates herbivory and phytochemistry in European beech

en: european-beech alan phytochemistry light-pollution insect-herbivores

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

alan

display_name: alan

insect-herbivores

display_name: insect-herbivores

light-pollution

display_name: light-pollution

phytochemistry

display_name: phytochemistry


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

en: CH-Kleinstwasserkraftwerke - ein schweizweiter Datensatz zu Kleinstwasserkraftwerken

en: kleinstwasserkraftwerke speed2zero wasserkraft schweiz datensatz

en:
Resource Title: CH-KWA.xlsx
    Size: 245680 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/5c8dda06-dac0-46a1-96a7-4776fffb014f/resource/22386ad7-ab16-4738-bc7a-783a7546767d/download/ch-kwa.xlsx
    Description: .XLSX-Datei der 2’388 registrierten Wasserkraftanlagen in der Schweiz aus den beiden Datensätzen WASTA (> 300 kW) und CH-Kleinstwasserkraftwerke (≤ 300 kW).

en:
Resource Title: CH-Kleinstwasserkraftwerke.svg
    Size: 9408747 bytes
    Format: image/svg+xml
    URL: https://www.envidat.ch/dataset/5c8dda06-dac0-46a1-96a7-4776fffb014f/resource/6a4fe0c9-2daa-48ec-9625-a859c5edf30b/download/ch-kleinstwasserkraftwerke.svg
    Description: Die 1'682 erfassten Kleinstwasserkraftwerke im Datensatz CH-Kleinstwasserkraftwerke

en:
Resource Title: CH-Kleinstwasserkraftwerke.pdf
    Size: 4263857 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/5c8dda06-dac0-46a1-96a7-4776fffb014f/resource/55f0e6a2-2041-4cb2-b4a2-8ca4cefb770c/download/ch-kleinstwasserkraftwerke.pdf
    Description: Dokumentation: CH-Kleinstwasserkraftwerke

en:
Resource Title: CH-Kleinstwasserkraftwerke.xlsx
    Size: 286462 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/5c8dda06-dac0-46a1-96a7-4776fffb014f/resource/7cd7672a-441d-45ad-bc1d-dfb44de1de45/download/ch-kleinstwasserkraftwerke.xlsx
    Description: .XLSX-Datei von CH-Kleinstwasserkraftwerke: 1'682 Kleinstwasserkraftwerke (≤ 300 kW) in der Schweiz.

en:
Resource Title: CH-WKA.zip
    Size: 166865 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/5c8dda06-dac0-46a1-96a7-4776fffb014f/resource/dfcc98f3-8087-44b6-88bb-e9046c91fbd9/download/ch-wka.zip
    Description: Shapefile der 2’388 registrierten Wasserkraftanlagen in der Schweiz aus den beiden Datensätzen WASTA (> 300 kW) und CH-Kleinstwasserkraftwerke (≤ 300 kW).

en:
Resource Title: CH-Kleinstwasserkraftwerke.zip
    Size: 208809 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/5c8dda06-dac0-46a1-96a7-4776fffb014f/resource/79870366-f746-427a-b61b-d16ff0f803a0/download/ch-kleinstwasserkraftwerke.zip
    Description: Shapefile von CH-Kleinstwasserkraftwerke: 1'682 Kleinstwasserkraftwerke (≤ 300 kW) in der Schweiz.

en:
Resource Title: EZG_CH-Kleinstwasserkraftwerke.zip
    Size: 11420830 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/5c8dda06-dac0-46a1-96a7-4776fffb014f/resource/7d50319e-2fb2-4446-8f51-8b0e0c90fe2e/download/ezg_ch-kleinstwasserkraftwerke.zip
    Description: Shapefile der Einzugsgebiete (2 km² ), in denen sich die jeweiligen Kleinstwasserkraftwerke befinden (erstellt von Yasser Haddad. ETH).

datensatz

display_name: datensatz

kleinstwasserkraftwerke

display_name: kleinstwasserkraftwerke

schweiz

display_name: schweiz

wasserkraft

display_name: wasserkraft


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-forecasting avalanche snow-instability danger-level avalanche-danger

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.

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.

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 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-environments quiet-areas gis-analysis traffic-noise soundscape sensory-perception

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: Restorative locations from participatory mapping by Swiss residents

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 dataset was used for the publication "Boch, Blaser, Föhr, Küchler, Fischer (2024) Haymaking complemented by moderate disturbances can sustain and restore species-rich alpine to subalpine grasslands" in Alpine Botany. It contains vegetation records (species lists, percentage cover of species) of six grassland sites with each five 2x2 m treatment plots established in the Schynige Platte Alpine Botanical Garden. In a six-year experiment, we tested the response of plant species richness and mean ecological indicator values that we calculated from this dataset, to management treatments ranging from combined haymaking and scraping, to haymaking or scraping alone, to complete abandonment. We further tested whether the treatments led to changes in species composition, i.e. shifts to different vegetation types.

en: Schynige Platte Alpine Botanical Garden land-use experiment

en: disturbance land-use-abandonment biodiversity vascular-plant grassland-management

envidat

en: EnviDat: the Environmental Data Portal

envi

en: Environment

biodiversity

display_name: biodiversity

disturbance

display_name: disturbance

grassland-management

display_name: grassland-management

land-use-abandonment

display_name: land-use-abandonment

vascular-plant

display_name: vascular-plant


en:
ERRA is a data-driven, nonparametric, model-independent method for quantifying rainfall-runoff relationships across a spectrum of time lags, in systems that may be nonlinear, nonstationary, and spatially heterogeneous.
Researchers using ERRA in published work should cite J.W. Kirchner, "Characterizing nonlinear, nonstationary, and heterogeneous hydrologic behavior using Ensemble Rainfall-Runoff Analysis (ERRA): proof of concept", Hydrology and Earth System Sciences, https://doi.org/10.5194/hess-28-4427-2024, 2024 (for ERRA itself) and J.W. Kirchner, "Impulse response functions for nonlinear, nonstationary, and heterogeneous systems, estimated by deconvolution and de-mixing of noisy time series", Sensors, 22(9), 3291, https://doi.org/10.3390/s22093291, 2022 (for the underlying mathematics).
This data set includes two versions of the ERRA script written in the open-source programming language R, a detailed user's guide, and sample scripts and source data for all of the results in Kirchner (2024).
These scripts are made publicly available under GNU General Public License 3; for details see https://www.gnu.org/licenses/.  The data and documentation are made available under Creative Commons Attribution Share-Alike CC-BY-SA.
ETH Zurich, WSL, and James Kirchner make ABSOLUTELY NO WARRANTIES OF ANY KIND, including NO WARRANTIES, expressed or implied, that this software is free of errors or is suitable for any particular purpose. Users are solely responsible for determining the suitability and reliability of this software for their own purposes.

en: streamflow hydrology nonlinear-deconvolution nonstationarity time-series ecohydrology rainfall-runoff-modelling precipitation

en: ERRA -- an R script for Ensemble Rainfall-Runoff Analysis

en:
Resource Title: {{deprecated version}} ERRA_scripts_v1.06.zip
    Size: 114452 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/84277dcd-ccde-4eaf-a65b-d1ecf6a0385c/resource/64819efe-d661-41c8-8410-f61665564c05/download/erra_scripts_v1.06.zip
    Description: Zip-compressed folder containing two versions of the ERRA script. ERRA_v1.06.R uses Rcpp to speed up several key calculations, but requires a C++ compiler. ERRA_v1.06_no_Rcpp.R is a bit slower but does not require a C++ compiler or Rcpp. Public use of these scripts is permitted under GNU General Public License 3 (GPL3); for details see https://www.gnu.org/licenses/

en:
Resource Title: Demonstration scripts.zip
    Size: 65399685 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/84277dcd-ccde-4eaf-a65b-d1ecf6a0385c/resource/ca1f4818-aff6-4b13-a83d-82376dde2834/download/demonstration-scripts.zip
    Description: Zip-compressed folder containing demonstration scripts, source data, and output files for the ERRA results shown in "Introduction to ERRA" and in J.W. Kirchner, "Characterizing nonlinear, nonstationary, and heterogeneous hydrologic behavior using Ensemble Rainfall-Runoff Analysis (ERRA): proof of concept", Hydrology and Earth System Sciences, 2024.

en:
Resource Title: {{deprecated version}} An introduction to ERRA v1.06.pdf
    Size: 3166700 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/84277dcd-ccde-4eaf-a65b-d1ecf6a0385c/resource/0c048816-816a-4c1f-bedf-32be20e4d4c2/download/an-introduction-to-erra-v1.06.pdf
    Description: "An introduction to ERRA" presents a series of vignettes that introduce some of the capabilities of the Ensemble Rainfall-Runoff Analysis (ERRA) script, and that show how to invoke them. This introduction also includes documentation for ERRA function calls, largely reproducing the documentation embedded in the ERRA script itself.

en:
Resource Title: ERRA_scripts_v1.12.zip
    Size: 2621440 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/84277dcd-ccde-4eaf-a65b-d1ecf6a0385c/resource/11af276e-c779-468c-9504-ef56bd490c7d/download/erra_scripts_v1.12.zip
    Description: Zip-compressed folder containing two versions of the ERRA script. ERRA_v1.12.R uses Rcpp to speed up several key calculations, but requires a C++ compiler. ERRA_v1.12_no_Rcpp.R is a bit slower but does not require a C++ compiler or Rcpp. Public use of these scripts is permitted under GNU General Public License 3 (GPL3); for details see https://www.gnu.org/licenses/

en:
Resource Title: An introduction to ERRA v1.12.pdf
    Size: 3072328 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/84277dcd-ccde-4eaf-a65b-d1ecf6a0385c/resource/927de1da-fef7-4b05-8534-ae8330bbb48c/download/an-introduction-to-erra-v1.12.pdf
    Description: "An introduction to ERRA" presents a series of vignettes that introduce some of the capabilities of the Ensemble Rainfall-Runoff Analysis (ERRA) script, and that show how to invoke them. This introduction also includes documentation for ERRA function calls, largely reproducing the documentation embedded in the ERRA script itself.

en:
Resource Title: {{deprecated version}} An introduction to ERRA v1.11.pdf
    Size: 3072328 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/84277dcd-ccde-4eaf-a65b-d1ecf6a0385c/resource/eee3eb76-74b7-4d84-bd23-fa2a97544b58/download/an-introduction-to-erra-v1.11.pdf
    Description: "An introduction to ERRA" presents a series of vignettes that introduce some of the capabilities of the Ensemble Rainfall-Runoff Analysis (ERRA) script, and that show how to invoke them. This introduction also includes documentation for ERRA function calls, largely reproducing the documentation embedded in the ERRA script itself.

en:
Resource Title: {{deprecated version}} ERRA_scripts.zip
    Size: 114811 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/84277dcd-ccde-4eaf-a65b-d1ecf6a0385c/resource/9e833898-3a78-4e79-83bd-d23c5ba76765/download/erra_scripts.zip
    Description: Zip-compressed folder containing two versions of the ERRA script.  ERRA_v1.0.R uses Rcpp to speed up several key calculations, but requires a C++ compiler.  ERRA_v1.0_no_Rcpp.R is a bit slower but does not require a C++ compiler or Rcpp.  Public use of these scripts is permitted under GNU General Public License 3 (GPL3); for details see https://www.gnu.org/licenses/

en:
Resource Title: {{deprecated version}} An introduction to ERRA.pdf
    Size: 3156214 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/84277dcd-ccde-4eaf-a65b-d1ecf6a0385c/resource/51f419cd-f933-4cad-88b4-a20ac7dcf545/download/an-introduction-to-erra.pdf
    Description: "An introduction to ERRA" presents a series of vignettes that introduce some of the capabilities of the Ensemble Rainfall-Runoff Analysis (ERRA) script, and that show how to invoke them.  This introduction also includes documentation for ERRA function calls, largely reproducing the documentation embedded in the ERRA script itself.

en:
Resource Title: {{deprecated version}} ERRA_scripts_v1.11.zip
    Size: 2621440 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/84277dcd-ccde-4eaf-a65b-d1ecf6a0385c/resource/6e05e468-ccd2-4d42-be7b-b7578a68061e/download/erra_scripts_v1.11.zip
    Description: Zip-compressed folder containing two versions of the ERRA script. ERRA_v1.11.R uses Rcpp to speed up several key calculations, but requires a C++ compiler. ERRA_v1.11_no_Rcpp.R is a bit slower but does not require a C++ compiler or Rcpp. Public use of these scripts is permitted under GNU General Public License 3 (GPL3); for details see https://www.gnu.org/licenses/

ecohydrology

display_name: ecohydrology

hydrology

display_name: hydrology

nonlinear-deconvolution

display_name: nonlinear-deconvolution

nonstationarity

display_name: nonstationarity

precipitation

display_name: precipitation

rainfall-runoff-modelling

display_name: rainfall-runoff-modelling

streamflow

display_name: streamflow

time-series

display_name: time-series


en:
The dataset consists of the standardized precipitation (SPI) and the standardized precipitation evapotranspiration index (SPEI) index with a 30 arcsec (~1km) horizontal resolution.
Data for precipitation rates (pr) and potential evapotranspiration (pet) are taken from CHELSA V2.1 (https://doi.org/10.16904/envidat.228.v2.1). Both data sets are monthly time series from 1980 to 2018 at 30 arcsec. and have the unit of kg m-2 month-1. SPEI is a more reliable measure of drought than SPI as it additionally considers the effect of potential evapotranspiration. Potential evapotranspiration (pet) is the amount of water per area per time that can evaporate at the soil surface or be transpired by plants in absence of water supply limitations. SPEI effectively estimates for a given location how the climatic water balance, i.e., the difference between precipitation rate (pr) and potential evapotranspiration (pet), relates to the long-term mean. Here, pet was calculated with the Penman-Montheith approach, assuming surface conductance of a reference crop of 12 cm height following the definition of the Food and Agriculture Organization of the United Nations (FAO), originating from CHELSA-BIOCLIM+ database (https://www.doi.org/10.16904/envidat.332). To obtain global time series of SPEI, in each pixel the frequency distribution of water balance estimates (pr-pet) is approximated with a log-logistic probability distribution function. We calculate monthly SPEI using a 12-month memory and approximate the parameters of the log-logistic probability distribution based on the time series from 1980-2018. Such a 12-month time window is suitable to capture long-term drought events that are long enough to impose substantial impacts on agriculture, hydrology, and ecosystems while ones at shorter time scales would be more appropriate to detect short-term drought. For each month, SPEI is calculated considering the respective water-balance value and the values of the eleven preceding months. Here we use SPEI-12 in December to represent the overall water-balance condition of the respective year. The resulting SPEI data has a horizontal resolution of 130 arcsec (~1km). The calculation of SPI and SPEI is done in R with the package SPEI (https://www.doi.org/10.32614/CRAN.package.SPEI).

en: drought extreme-events megadrought multi-year-drought chelsa precipitation potential-evapotranspiration

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: High resolution global standardized drought indices

en:
Resource Title: Multiyear meteorological droughts (MYMD10) statistics
    Size: 928956 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/8670a317-ca6b-4bce-9191-428e2827184e/resource/fa3d92e1-1eb0-478c-900d-dca818e3b4ff/download/mymd10_stats.csv
    Description: Multiyear meteorological droughts (MYMD10) statistics

Statistics of the multiyear meteorological droughts, containing the ID, duration, area, and empirical ranking of the droughts, and the anomalies in kNDVI

en:
Resource Title: Multiyear meteorological droughts (MYMD) statistics - Description
    Size: 1114 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/8670a317-ca6b-4bce-9191-428e2827184e/resource/a32ef5b4-fab9-4d15-b6da-c8244029027d/download/mymd_stats_description.csv
    Description: Description of column names, and units of the fields contained in the dataset "Multiyear meteorological droughts (MYMD) statistics".

en:
Resource Title: CHELSA-drought-indices Technical Documentation
    Size: 335096 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/8670a317-ca6b-4bce-9191-428e2827184e/resource/a4ec699c-1e4a-45ab-8b7c-ccdf09c6e828/download/chelsa_file_specification_drought_indicies.pdf
    Description: Technical documentation document including the variable names, units, scaling, offset, and background.

en:
Resource Title: Standardised Precipitation Evapotranspiration Index (SPEI)
    Size: 209715200 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Fglobal%2Fmonthly%2Fspei12%2F
    Description: Global monthly layers of the Standardized Precipitation Evapotranspiration Index (SPEI) a 30 arcsec (~1km) spatial resolution

en:
Resource Title: Multiyear meteorological droughts (MYMD) statistics
    Size: 785961 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/8670a317-ca6b-4bce-9191-428e2827184e/resource/21046cb1-0a1c-4890-8025-aefb5d9f3f1d/download/mymd_stats.csv
    Description: Statistics of the multiyear meteorological droughts, containing the ID, duration, area, and empirical ranking of the droughts.

en:
Resource Title: Multiyear meteorological droughts (MYMD10) statistics - Description
    Size: 1384 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/8670a317-ca6b-4bce-9191-428e2827184e/resource/c1c0dbc9-ec96-462e-bf62-bc90b6aad3ab/download/mymd10_stats_description.csv
    Description: Description of column names, and units of the fields contained in the dataset "Multiyear meteorological droughts (MYMD10) statistics".

en:
Resource Title: Multiyear meteorological droughts (MYMD)
    Size: 368640 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Fglobal%2Fannual%2Fmymd%2F
    Description: Global annual layers of the multiyear meteorological droughts (MYMD) at a 1/24° (~5km) spatial resolution

en:
Resource Title: Kernel Normalized Difference Vegetation Index Anomaly (QKNDVI)
    Size: 6710886 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Fglobal%2Fannual%2Fqkndvi%2F
    Description: Global annual layers of the the kernel normalized difference vegetation index anomaly (qkndvi) at a 1/12° (~10km) spatial resolution.

en:
Resource Title: CHELSA-drought-indices Technical Documentation
    Size: 257611 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/8670a317-ca6b-4bce-9191-428e2827184e/resource/3149a573-b55c-499c-9efa-2cbe920bc483/download/chelsa_file_specification_drought_indicies.pdf
    Description: Technical documentation document including the variable names, units, scaling, offset, and background.

en:
Resource Title: Standardized Precipitation Index (SPI)
    Size: 209715200 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Fglobal%2Fmonthly%2Fspi12%2F
    Description: Global monthly layers of the Standardized Precipitation Index (SPI) a 30 arcsec (~1km) spatial resolution

en:
Resource Title: Multiyear meteorological droughts (MYMD10)
    Size: 107930 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Fglobal%2Fannual%2Fmymd10%2F
    Description: Global annual layers of the multiyear meteorological droughts (MYMD) at a 1/12° (~10km) spatial resolution

chelsa

display_name: chelsa

drought

display_name: drought

extreme-events

display_name: extreme-events

megadrought

display_name: megadrought

multi-year-drought

display_name: multi-year-drought

potential-evapotranspiration

display_name: potential-evapotranspiration


en:
**CH-POA300** is a dataset of hourly solar irradiance maps projected onto tilted surfaces (analogous to monofacial solar panels).
- **Spatial resolution:** 300 m
- **Coverage:** Switzerland
Two temporal extents are available, depending on the number of surface orientations (azimuth–tilt combinations):
 1. Long-term
- **Period:** 2004–2020
- **Orientations:**
  - Azimuth: 180° (South)
  - Tilts: 0°, 35°, 60°, 90°
 2. Typical year
- **Period:** 2016
- **Orientations:**
  - Azimuths: 0° (North), 90° (East), 135°, 180° (South), 225°, 270° (West)
  - Tilts: 0°, 3°, 8°, 15°, 25°, 35°, 45°, 60°, 80°, 90°
 Notes
- Azimuth angles: 0° = North, 90° = East, 180° = South, 270° = West
- Tilt angles: 0° = horizontal, 90° = vertical
 Additional data
- Seasonal and annual statistics derived from the maps are included.
- Methodology and quality assessment are documented in *CH-POA300-v-specs.pdf*.

en: speed2zero alpine-pv solar-irradiance plane-of-array agri-pv sweet-edge rooftop-pv

envidat

en: EnviDat: the Environmental Data Portal

en: CH-POA300 -- Hourly Plane-of-Array Solar Irradiance at High Resolution for Switzerland

envi

en: Environment

en:
Resource Title: Data 2016
    Size: 751619276800 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2FCHPOA300%2F&prefix=2016
    Description:

en:
Resource Title: CH-POA300_v1_specs
    Size: 11472383 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/0ec532fd-a319-4569-a181-ab391104b47f/resource/7146fc4a-df12-44a8-923f-69476b147a55/download/chpoa300_specs_v1.pdf
    Description: This document provides an in-depth description of the CH-POA300 dataset. It includes methodology and validation details.

en:
Resource Title: Data 2004-2020
    Size: 858993459200 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2FCHPOA300/&prefix=2004-2020
    Description:

en:
Resource Title: CH-POA300-v2-statistics
    Size: 1889349528 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/0ec532fd-a319-4569-a181-ab391104b47f/resource/ed1238d2-b8c0-42f1-9b65-b837ac2dd259/download/stats.zip
    Description: Contains seasonal and annual statistics (mean and sum) derived from the CH-POA300 dataset.
File naming conventions:
yyyy_agg_period_hourly_stat.nc : statistic <stat> for aggregation period <agg_period> in year <yyyy>
all_agg_period_stat_mean.nc : statistic <stat> for aggregation period <agg_period> computed over the entire dataset (all years)
Definitions:
yyyy = year (2004–2020)
agg_period = winter, summer, annual
stat = mean, sum

en:
Resource Title: CH-POA300_v1_statistics
    Size: 1445061901 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/0ec532fd-a319-4569-a181-ab391104b47f/resource/ea36025c-c855-488d-857d-f658bace53e2/download/chpoa300_statistics.zip
    Description: Contains seasonal and annual statistics (mean, sum) of the CH-POA300 dataset.

- "yyyy_agg_period_hourly_stat.nc": statistic <stat> for the period <agg_period> of the year <yyyy>
- "all_agg_period_stat_mean.nc": statistic <stat> for the period <agg_period> reduced on the entire dataset (all years).
\
yyyy: [2004, 2020]
agg_period: [winter, summer, annual]
stat: [mean, sum]

en:
Resource Title: CH-POA300-v2-specs
    Size: 11473219 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/0ec532fd-a319-4569-a181-ab391104b47f/resource/c184fb33-6751-47cd-a936-2f04de24c760/download/ch-poa300-v2-specs.pdf
    Description: This document provides an in-depth description of the CH-POA300 dataset. It includes methodology and validation details.

agri-pv

display_name: agri-pv

alpine-pv

display_name: alpine-pv

plane-of-array

display_name: plane-of-array

rooftop-pv

display_name: rooftop-pv

solar-irradiance

display_name: solar-irradiance

sweet-edge

display_name: sweet-edge


en: Im Rahmen des Bryolich-Projekts “Moose und Flechten in Gärten” wurden möglichst vollständige Artenlisten von Moosen und Flechten in 26 bzw. 7 Gärten um Wohnhäuser erstellt. In 5 dieser Gärten wurden beide Artengruppen erfasst. Zusätzlich wurden Informationen über unterschiedliche Lebensräume innerhalb der Gärten (z.B. Fläche mit Gehölzen, Fläche von Blumenbeeten) und weitere Garten-Charakteristika (z.B. Fläche des Gartens, Alter des Gartens, Einsatz von Dünger) erfasst. Details zum Projekt und den erfassten Daten können im zugehörigen Artikel (Bergamini et al. 2024) und auf der Webseite von Bryolich gefunden werden (https://www.bryolich.ch/mfig/mfig_de.html).

en: Daten Bryolich-Projekt Moose und Flechten in Gärten

en: diversitat moose bryophytes bryolich flechten garten lichens

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.

bryolich

display_name: bryolich

bryophytes

display_name: bryophytes

diversitat

display_name: diversitat

flechten

display_name: flechten

garten

display_name: garten

lichens

display_name: lichens

moose

display_name: moose