geografische-namen-schweiz-inspire

regi

fr: Régions et villes

de: Regionen und Städte

en: Regions and cities

it: Regioni e città

envi

fr: Environnement

de: Umwelt

en: Environment

it: Ambiente

title_for_slug: geografische-namen-schweiz-inspire

de: geobasisdaten toponymie inspire ortsname geografische-bezeichnungen national bgdi-bundesgeodaten-infrastruktur

author: Federal Office of Topography swisstopo

fr: geocat.ch permalien

de: geocat.ch Permalink

en: geocat.ch permalink

it: geocat.ch link permanente

en: Geographical Names Switzerland - INSPIRE - reference system ETRS89 / UTM zone 32N - format application/x-gmz

format: ZIP

en: Geographical Names Switzerland - INSPIRE - reference system ETRS89 / ETRS-LAEA - format application/x-gmz

en: Geographical Names Switzerland - INSPIRE - reference system WGS84 Web Mercator - format application/x-gmz

en: Geographical Names Switzerland - INSPIRE - reference system ETRS89 - format application/x-gmz

en: Geographical Names Switzerland - INSPIRE - reference system WGS 84 - format application/x-gmz

en: Geographical Names Switzerland - INSPIRE - reference system CH1903+ / LV95 - format application/x-gmz

fr: "Noms géographiques" est basé sur le jeu de données swissNAMES3D de swisstopo. Il s'agit de la collection la plus complète de noms géographiques pour la Suisse et le Liechtenstein. swissNAMES3D contient plus de 437'000 entrées géoréférencées divisées en différentes catégories. Le jeu de données remplace depuis 2015 l'ancien produit swissNAMES mis à jour jusqu'en 2008. Dans le géoportail fédéral, la couche "noms géographiques" correspond à une sélection de swissNAMES3D pour les différents niveaux de zoom. Il s'agit d'un dérivé de produit conforme aux directives INSPIRE.

de: Die geografische Namen basieren auf dem Datensatz swissNAMES3D. swissNAMES3D ist die vollständigste Sammlung von geografische Namen über die Schweiz und das Fürstentum Liechtenstein und umfasst über 437000 georeferenzierte Einträge, die in verschiedene Kategorien unterteilt sind. Der Datensatz ersetzt ab 2015 das auf dem Namengut der Landeskartenwerke basierende und bis 2008 nachgeführte Produkt SwissNames. Die Darstellung der geografischen Namen im Geoportal des Bundes entspricht einer Auswahl aus swissNAMES3D, die auf die ausgewählte Zoomstufe zugeschnitten ist. Es handelt sich hier um die INSPIRE Konforme Produktableitung.

en: Geographical Names is based on the data set swissNAMES3D by swisstopo. It is the most comprehensive collection of geographical names for Switzerland and Liechtenstein. swissNAMES3D contains over 437'000 georeferenced entries divided in different categories. The dataset replaces since 2015 the old product swissNAMES updated until 2008. In the federal geoportal the layer "geographical names" corresponds to a selection of swissNAMES3D for the different zoomlevels. This is the INSPIRE-compliant product derivation.

it: I nomi geografici sono basati sul dataset swissNAMES3D. swissNAMES3D è la collezione più completa di nomi geografici per la Svizzera e il Principato del Liechtenstein e comprende oltre 437000 voci georeferenziate divise in varie categorie. A partire dal 2015, il set di dati sostituisce il prodotto SwissNames, che era basato sui nomi delle serie di mappe nazionali ed era aggiornato fino al 2008. La visualizzazione dei nomi geografici nel geoportale federale corrisponde a una selezione di swissNAMES3D adattata al livello di zoom selezionato. Si tratta di un prodotto derivato conforme a INSPIRE.

spatial: Switzerland

fr: Office fédéral de topographie swisstopo

de: Bundesamt für Landestopografie swisstopo

en: Federal Office of Topography swisstopo

it: Ufficio federale di topografia swisstopo

fr: Le centre de compétence de la Confédération suisse pour les informations géographiques, c'est-à-dire pour la description, la représentation et l’archivage de données à référence spatiale.

de: Das Kompetenzzentrum der Schweizerischen Eidgenossenschaft für Geoinformation, d.h. für die Beschreibung, Darstellung und Archivierung von raumbezogenen Geodaten.

en: The centre of competence for the Swiss Confederation responsible for geographical reference data, for instance the description, representation and archiving of geographic spatial data.

it: Il centro d’eccellenza della Confederazione Elvetica per geoinformazione, cioè per la descrizione, rappresentazione e archiviazione dei dati georeferenziati (geodati).

political_level: confederation

value: Swisstopo - Geocat Harvester

fr: Noms géographiques de la Suisse - INSPIRE

de: Geografische Namen Schweiz - INSPIRE

it: Nomi geografici della Svizzera - INSPIRE


de: geobasisdaten inspire national verwaltungseinheiten bgdi-bundesgeodaten-infrastruktur verwaltungsgrenze

state: active

type: dataset

en: Administrative units Switzerland - INSPIRE - reference system ETRS89 / UTM zone 32N - format application/x-gmz

en: Administrative units Switzerland - INSPIRE - reference system ETRS89 / ETRS-LAEA - format application/x-gmz

en: Administrative units Switzerland - INSPIRE - reference system WGS84 Web Mercator - format application/x-gmz

en: Administrative units Switzerland - INSPIRE - reference system ETRS89 - format application/x-gmz

en: Administrative units Switzerland - INSPIRE - reference system WGS 84 - format application/x-gmz

en: Administrative units Switzerland - INSPIRE - reference system CH1903+ / LV95 - format application/x-gmz

fr: Les unités administratives sont basées sur le jeu de données swissBOUNDARIES3D de swisstopo. Ce jeu de données contient toutes les unités administratives et les frontières nationales de la Suisse et de la Principauté de Liechtenstein sous forme vectorielle. Le produit est basé sur un modèle de données optimisé pour la Suisse et est conforme aux données de l'Office fédéral de la statistique et aux directives européennes INSPIRE. swissBOUNDARIES3D remplace le jeu de données GG25 à partir de 2010.

de: Die Verwaltungseinheiten basieren auf dem Datensatz swissBOUNDARIES3D von swisstopo. Dieser Datensatz enthält alle Verwaltungseinheiten und Landesgrenzen der Schweiz und des Fürstentums Liechtenstein in Vektorform. Das Produkt basiert auf einem optimierten Datenmodell für die Schweiz und ist konform mit den Daten des Bundesamtes für Statistik und den europäischen INSPIRE-Richtlinien. swissBOUNDARIES3D ersetzt ab 2010 den Datensatz GG25.

en: Administrative units is based on the data set swissBOUNDARIES3D by swisstopo. It contains all administrative units and national boundaries of Switzerland and the Principality of Liechtenstein in vector form. The product is based on an optimized data model for Switzerland and conforms to the data of the Swiss Federal Statistical Office and European INSPIRE directives. swissBOUNDARIES3D replaces the GG25 dataset from 2010 onwards.

it: Le unità amministrative sono basate sul set di dati swissBOUNDARIES3D di swisstopo. Il set di dati contiene tutte le unità amministrative e i confini nazionali della Svizzera e del Principato del Liechtenstein in forma vettoriale. Il prodotto è basato su un modello di dati ottimizzato per la Svizzera ed è conforme ai dati dell'Ufficio Federale di Statistica e le direttive europee INSPIRE. swissBOUNDARIES3D sostituisce il set di dati GG25 dal 2010.

type: organization

approval_status: approved

fr: Unités administratives de la Suisse – INSPIRE

de: Verwaltungseinheiten der Schweiz – INSPIRE

it: Unità amministrative della Svizzera - INSPIRE


regi

en: Regions and cities

envi

en: Environment

de: bgdi-bundesgeodaten-infrastruktur bund

en: geocat.ch permalink

fr: Map (Preview)

de: Map (Preview)

en: Map (Preview)

it: Map (Preview)

fr: Aperçu hydromaps.ch

de: Vorschau hydromaps.ch

en: Preview hydromaps.ch

it: Previsione hydromaps.ch

format: SERVICE

fr: Les présentes cartes montrent la répartition des précipitations en Suisse depuis 1864 en indiquant aussi bien les sommes annuelles, saisonnières et mensuelles des différentes années que les normales calculées sur de longues périodes. Les précipitations sont disponibles à la fois sous forme de valeurs matricielles et sous forme de moyennes régionales pour les bassins versants de 100km² et plus. Pour ces derniers, il est possible de générer des séries chronologiques montrant les variations sur les 150 dernières années.

de: Die vorliegenden Karten stellen die Niederschlagsverteilungen in der Schweiz seit 1864 dar, und zwar sowohl als Jahres-, Saison- und Monatssummen einzelner Jahre als auch als Normwerte gemittelt über längere Perioden. Die Niederschläge liegen sowohl als Raster- als auch als Gebietsmittelwerte für Einzugsgebiete ab 100km² vor. Für Letztere ist es möglich, Zeitreihen zu generieren, die die Variationen über die letzten 150 Jahre zeigen.

en: These maps show the distribution of precipitation in Switzerland since 1864, both as annual, seasonal, and monthly totals for individual years and as standard values averaged over longer periods. Precipitation distributions are displayed as fields on a grid or as spatial averages for catchments as of 100km². For these catchments, users can view time series showing variations over the last 150 years.

it: Le presenti carte riportano le distribuzioni spaziali delle precipitazioni in Svizzera a partire dal 1864, sia come somme annuali, stagionali e mensili dei singoli anni, sia come valori medi pluriennali (valori normali). Le precipitazioni sono disponibili sia come valori su griglia che come valori medi per bacini idrografici con un’area minima di 100km². Di questi ultimi è possibile estrarne le serie temporali, le quali mostrano le variazioni degli ultimi 150 anni.

spatial: Schweiz

fr: Office fédéral de l'environnement /Division Hydrologie

de: Bundesamt für Umwelt / Abteilung Hydrologie

en: Federal Office for the Environment / Hydrology Division

it: Ufficio federale dell'ambiente / Divisione Idrologia

bundesamt-fur-umwelt-bafu

fr: Office fédéral de l'environnement OFEV

de: Bundesamt für Umwelt BAFU

en: Federal Office for the Environment FOEN

it: Ufficio federale dell'ambiente UFAM

fr: L’autorité compétente pour les questions environnementales. Il est à ce titre chargé de gérer les ressources naturelles selon les principes du développement durable et de protéger l’homme contre les dangers naturels et l’environnement contre les pollutions.

de: Die Fachbehörde für die Umwelt. Es ist zuständig für die nachhaltige Nutzung der natürlichen Ressourcen sowie für den Schutz des Menschen vor Naturgefahren und den Schutz der Umwelt vor übermässigen Belastungen.

en: The federal environmental authority. It is responsible for ensuring that natural resources are used sustainably, that the public is protected against natural hazards, and that the environment is protected from unacceptable adverse impacts.

it: Il servizio specializzato in materia ambientale, è competente per quanto riguarda l'utilizzazione sostenibile delle risorse naturali, la protezione delle persone dai pericoli naturali e dell'ambiente da un inquinamento eccessivo.

value: BAFU - Geocat Harvester

fr: Précipitations depuis 1864

de: Niederschlagsverhältnisse seit 1864

en: Precipitation since 1864

it: Condizioni delle precipitazioni dal 1864


extreme-punktniederschlage

regi

de: Regionen und Städte

envi

de: Umwelt

title_for_slug: extreme-punktniederschlage

fr: Les cartes des précipitations ponctuelles extrêmes décrivent les hauteurs de précipitations pour des événements rares de fortes précipitations dans le climat actuel. Les analyses peuvent être représentées pour des périodes de retour de 2 à 300 ans. Actuellement, les résultats sont disponibles pour des sommes de précipitations extrêmes de 72, 48 et 24 heures et de 180, 60, 10, 5 et 2 minutes. Des analyses pour d’autres durées seront intégrées ultérieurement. Pour chaque cellule de la grille, il est possible d’afficher un tableau indiquant les valeurs de récurrence au centre de la cellule (médiane et incertitude).

de: Die Karten zu extremen Punktniederschlägen beschreiben die Niederschlagshöhen für seltene Starkniederschlagsereignisse im heutigen Klima. Die Analysen können für Wiederkehrperioden von 2 bis 300 Jahren dargestellt werden. Aktuell sind Resultate für extreme 72-, 48-, 24-, 12-, und 6-Stunden-, sowie 180-, 60-, 10-, 5- und 2-Minuten-Summen der Niederschläge verfügbar. Später werden Auswertungen für weitere Dauern integriert. Für jede Rasterzelle lässt sich eine Tabelle einblenden, welche die Wiederkehrwerte im Mittelpunkt der Zelle angeben (Median und Unsicherheit).

en: The maps on extreme point precipitation describe the precipitation depths for rare heavy precipitation events under current climatic conditions. The analyses can be presented for return periods of 2 to 300 years. Currently, results are available for extreme rainfall accumulations over 72, 48, 24, 12, and 6 hours, as well as 180, 60, 10, 5, and 2 minutes. Analyses for additional durations will be integrated later. For each grid cell, a table can be displayed showing the return values of precipitation for the centre of the cell (median and uncertainty). It should be noted that the colour scale varies between the different durations. In interpreting these results, the restrictive notes in Section 4 of the accompanying text should be taken into account.

it: Le mappe sulle precipitazioni puntuali estreme descrivono i livelli di precipitazione per i rari eventi di precipitazione pesante nel clima di oggi. Le analisi possono essere presentate per periodi di ritorno da 2 a 300 anni. Attualmente, i risultati sono disponibili per i totali estremi di pioggia di 72, 48 e 24 ore e di 180, 60, 10, 5 e 2 minuti. Più tardi, le analisi per altre durate saranno integrate. Per ogni cella della griglia, una tabella può essere visualizzata mostrando i valori di ritorno al centro della cella (mediana e incertezza).

fr: Précipitations ponctuelles extrêmes

de: Extreme Punktniederschläge

en: Extreme Point Precipitation

it: Precipitazioni puntuali estreme


regi

fr: Régions et villes

it: Regioni e città

envi

fr: Environnement

it: Ambiente

de: geocat.ch Permalink

fr: Les présentes cartes montrent la répartition des précipitations moyennes dans la zone alpine pendant la période 1971–2008 pour une année calendaire, les douze mois calendaires et les quatre saisons. Le jeu de données raster utilisé contient pour chaque jour de la période une analyse spatiale des précipitations comprenant des données de quelque 8500 stations. Les moyennes régionales sont indiquées pour les bassins versants d’au moins 100 km².

de: Die vorliegenden Karten zeigen die Verteilung des mittleren Niederschlags im Alpenraum 1971–2008 für ein Kalenderjahr, die zwölf Kalendermonate sowie die vier Saisons. Der zugrunde liegende Rasterdatensatz enthält für jeden Tag der Periode eine räumliche Niederschlagsanalyse mit Daten von im Mittel 5500 Stationen. Gebietsmittelwerte werden für Einzugsgebietsflächen ab 100 km² ausgewiesen.

en: The present maps show the distribution of long-term mean precipitation in the Alpine region 1971–2008 for a a calendar year, the twelve calendar months, as well as the four seasons. The underlying grid data set consists of spatial precipitation analyses for every day in the period, based on measurements at typically 5500 weather stations. Area means are shown for catchments 100 km² or larger.

it: Le presenti carte mostrano la distribuzione delle precipitazioni medie nella regione alpina 1971–2008 per un anno civile, i dodici mesi civili e le quattro stagioni. I dati raster alla base contengono un’analisi della distribuzione spaziale delle precipitazioni per ogni giorno del periodo di riferimento con dati rilevati presso circa 8500 stazioni. Per i bacini imbriferi con un’area pari o superiore a 100 km² sono indicati i valori medi regionali.

fr: Précipitations moyennes dans la zone alpine 1971–2008

de: Mittlere Niederschlagshöhen im Alpenraum 1971–2008

en: Mean Precipitation throughout the Alps 1971–2008

it: Precipitazioni medie nella regione alpina 1971–2008


gastronomie-in-der-ostschweiz

maintainer: Open Data Ostschweiz Tourismus

title_for_slug: Gastronomie in der Ostschweiz

de: restaurant ostschweiztourismus kaffee

de: Ostschweiz Tourismus

fr: Lien vers le point d'accès API : gastronomie

de: Link zu API-Endpoint: Gastronomie

en: Link to API Endpoint: Gastronomy

it: Collegamento al punto finale API: Gastronomia

format: JSON

fr: Entreprises de restauration en Suisse orientale

en: Gastronomy businesses in eastern Switzerland

de: Gastronomie-Betriebe in der Ostschweiz

it: Aziende gastronomiche nella Svizzera orientale

kaffee

display_name: kaffee

ostschweiztourismus

display_name: ostschweiztourismus

restaurant

display_name: restaurant

fr: Gastronomie en Suisse orientale

de: Gastronomie in der Ostschweiz

en: Gastronomy in Eastern Switzerland

it: Gastronomia nella Svizzera orientale

econ

fr: Économie et finances

de: Wirtschaft und Finanzen

en: Economy and finance

it: Economia e finanze

fr: Ostschweiz Tourismus

en: Ostschweiz Tourismus

it: Ostschweiz Tourismus

fr: Organisation de tourisme en Suisse orientale.

en: Tourism organization in Eastern Switzerland.

de: Tourismusorganisation in der Ostschweiz.

it: Organizzazione turistica della Svizzera orientale.

political_level: other


unterkunfte-in-der-ostschweiz

title_for_slug: Unterkünfte in der Ostschweiz

de: apartment ferienwohnungen unterkunft hotel camping uebernachtung hostel ostschweiztourismus

en: apartment hostel

fr: Lien vers le point d'accès API : hébergement

de: Link zu API-Endpoint: Unterkunft

en: Link to API Endpoint: Accommodation

it: Collegamento al punto finale API: Alloggio

fr: Hébergement en Suisse orientale divisé en hôtels, auberges, B&B, camping, appartement et logements de vacances.

en: Accommodation in Eastern Switzerland divided into hotels, hostels, B&Bs, camping, apartment and vacation rentals.

de: Unterkünfte in der Ostschweiz unterteilt in Hotels, Hostels, B&Bs, Camping, Apartment und Ferienwohnungen.

it: Alloggio nella Svizzera orientale suddiviso in hotel, ostelli, B&B, campeggi, appartamenti e case vacanza.

apartment

display_name: apartment

camping

display_name: camping

ferienwohnungen

display_name: ferienwohnungen

hostel

display_name: hostel

hotel

display_name: hotel

uebernachtung

display_name: uebernachtung

unterkunft

display_name: unterkunft

fr: Hébergements en Suisse orientale

de: Unterkünfte in der Ostschweiz

en: Accommodation in Eastern Switzerland

it: Alloggio nella Svizzera orientale


erlebnisse-in-der-ostschweiz

title_for_slug: Erlebnisse in der Ostschweiz

fr: Lien vers API-Endpoint : Expériences

de: Link zu API-Endpoint: Erlebnisse

en: Link to API Endpoint: Experiences

it: Collegamento al punto finale API: Esperienze

fr: Expériences en Suisse orientale

en: Experiences in Eastern Switzerland

de: Erlebnisse in der Ostschweiz

it: Esperienze nella Svizzera orientale

aussichtpunkt

display_name: aussichtpunkt


dashboard-krankenversicherung-okp

maintainer: Office fédéral de la santé publique - section gestion de données et statistique DMS

title_for_slug: Dashboard Krankenversicherung OKP

fr: sante assurance-maladie assurance dashboard

de: dashboard versicherung gesundheit krankenversicherung

en: dashboard health-insurance insurance health

it: assicurazione-malattie assicurazione dashboard salute

author: Bundesamt für Gesundheit BAG - Office fédéral de la santé publique OFSP - Ufficio federale della sanità pubblica UFSP

de: Loi fédérale sur l'assurance-maladie (LAMal)

fr: Le fichier contient les données présentées dans les graphiques des pages principales

en: The file contains the data presented in the charts on the main pages

de: Die Datei enthält die Daten, die in den Grafiken auf den Hauptseiten dargestellt werden

it: Il file contiene i dati presentati nei grafici delle pagine principali.

fr: Le fichier contient les données présentées dans le Dashboard de l'assurance-maladie

en: The file contains the data presented in the health insurance dashboard

de: Die Datei enthält die Daten, die im Dashboard Krankenversicherung dargestellt werden

it: Il file contiene i dati presentati nel dashboard sull'assicurazionemalattie

fr: Le Dashboard assurance-maladie (AOS) présente des données sur l'assurance-maladie en Suisse. Il se limite à l'assurance obligatoire des soins (AOS), selon la loi fédérale sur l'assurance-maladie, également connue sous le nom d'assurance de base ou d'assurance-maladie sociale. L'OFSP surveille les assureurs-maladie qui appliquent l'AOS. D'autres données et chiffres clés sont disponibles sur le site de l’OFSP.

en: The Dashboard heath Insurance (OKP) shows data on health insurance in Switzerland. It is limited to compulsory health insurance (OKP), in accordance with the Federal Health Insurance Law, also known as basic insurance or social health insurance. The FOPH supervises the health insurers that provide OKP. Further data and key figures are available on the FOPH website.

de: Das Dashboard Krankenversicherung (OKP) zeigt Daten zur Krankenversicherung in der Schweiz. Es beschränkt sich auf die obligatorische Krankenpflegeversicherung (OKP), nach dem Bundesgesetz über die Krankenversicherung, auch als Grundversicherung oder soziale Krankenversicherung bekannt. Das BAG beaufsichtigt die Krankenversicherer, die die OKP durchführen. Weitere Daten und Kennzahlen, sind auf der Webseite des BAG verfügbar.

it: Il Dashboard dell'assicurazione malattie (OKP) mostra i dati sull'assicurazione malattie in Svizzera. Si limita all'assicurazione  malattie obbligatoria (OKP), ai sensi della Legge federale sull'assicurazione malattia, nota anche come assicurazione di base o assicurazione malattie sociale. L'UFSP vigila sulle assicurazioni malattie che forniscono l'OKP. Ulteriori dati e cifre chiave sono disponibili sul sito dell'UFSP.

assicurazione

display_name: assicurazione

assicurazione-malattie

display_name: assicurazione-malattie

assurance

display_name: assurance

assurance-maladie

display_name: assurance-maladie

dashboard

display_name: dashboard

gesundheit

display_name: gesundheit

health

display_name: health

health-insurance

display_name: health-insurance

insurance

display_name: insurance

krankenversicherung

display_name: krankenversicherung

salute

display_name: salute

sante

display_name: sante

versicherung

display_name: versicherung

fr: Dashboard assurance-maladie AOS

de: Dashboard Krankenversicherung OKP

en: Dashboard health insurance OKP

it: Dashboard assicurazione malattie OKP

heal

fr: Santé

de: Gesundheit

en: Health

it: Salute

bundesamt-fur-gesundheit-bag

de: Bundesamt für Gesundheit BAG

en: Federal Office of Public Health FOPH

fr: L'Office fédéral de la santé publique (OFSP) fait partie du Département fédéral de l'intérieur. De concert avec les cantons, il assume la responsabilité des domaines touchant à la santé publique ainsi que la mise en œuvre de la politique sanitaire. Autorité à vocation nationale, il représente les intérêts sanitaires de la Suisse dans les organisations internationales et auprès d'autres Etats.

de: Das Bundesamt für Gesundheit (BAG) ist Teil des Eidgenössischen Departements des Innern. Es ist - zusammen mit den Kantonen - verantwortlich für die Gesundheit der Schweizer Bevölkerung und für die Entwicklung der nationalen Gesundheitspolitik. Zudem vertritt das BAG als nationale Behörde die Schweiz in Gesundheitsbelangen in internationalen Organisationen und gegenüber anderen Staaten.

en: The Federal Office of Public Health (FOPH) is part of the Federal Department of Home Affairs. Along with the cantons it is responsible for public health in Switzerland and for developing national health policy. As the national health authority, the FOPH also represents Switzerland's interests in the field of health in international organisations and with respect to other countries.

it: L'Ufficio federale della sanità pubblica (UFSP) è incorporato nel Dipartimento federale dell'interno. Unitamente ai Cantoni, è responsabile della salute della popolazione svizzera e dello sviluppo della politica nazionale in materia di salute. In qualità di autorità nazionale rappresenta inoltre gli interessi della Svizzera in materia di sanità in seno a organizzazioni internazionali e nei rapporti con altri Stati.


author: BFS/OFS

it: Ambiente. Statistica tascabile 2020

media_type: text/html

format: HTML

mimetype: text/html

fr: Environnement. Statistique de poche 2020

media_type: application/pdf

format: PDF

mimetype: application/pdf

de: Umwelt. Taschenstatistik 2020

en: Environment. Pocket Statistics 2020

espace-et-environnement

display_name: espace-et-environnement

raum-und-umwelt

display_name: raum-und-umwelt

territori-ed-ambient

display_name: territori-ed-ambient

territorio-e-ambiente

display_name: territorio-e-ambiente

territory-and-environment

display_name: territory-and-environment

envi

fr: Environnement

de: Umwelt

en: Environment

it: Ambiente

bundesamt-fur-statistik-bfs

fr: Office fédéral de la statistique OFS

de: Bundesamt für Statistik BFS

en: Federal Statistical Office FSO

it: Ufficio federale di statistica UST

fr: L'OFS est le centre de compétence de la statistique publique suisse. Il produit des informations statistiques sur la population, l'économie, la société, la formation et la recherche, le territoire et l'environnement. Ces informations servent à la formation de l’opinion publique. Elles sont un outil de planification et de gouvernance dans tous les domaines de l’action politique et contribuent au bon fonctionnement de notre État moderne et démocratique.

de: Das BFS ist das nationale Kompetenzzentrum der öffentlichen Statistik der Schweiz. Es produziert und publiziert statistische Informationen über den Stand und die Entwicklung von Bevölkerung, Wirtschaft, Gesellschaft, Bildung, Forschung, Raum und Umwelt. Diese Informationen dienen der Meinungsbildung in der Bevölkerung sowie der Planung und Steuerung von zentralen Politikbereichen. Sie leisten einen wichtigen Beitrag für einen modernen, demokratischen Staat.

en: The FSO is Switzerland's national competence centre for official statistics. It produces and publishes statistical information on the status and development of the population, economy, society, education, research, territory and the environment. This information is used for opinion building among the population and for the planning and management of key policy areas. They make an important contribution to a modern, democratic state.

it: L’UST è il centro di competenza nazionale per la statistica pubblica della Svizzera. Produce e pubblica informazioni statistiche sullo stato e sull'evoluzione della popolazione, dell'economia, della società, della formazione, della ricerca, del territorio e dell'ambiente. Queste informazioni servono alla formazione dell'opinione pubblica nonché alla pianificazione e alla gestione in ambiti politici di centrale importanza. Forniscono un importante contributo per uno Stato moderno e democratico.

key: guid

key: uri

value: BFS – DCAT Harvester


de: Allgemeine Preisentwicklung in der Schweiz. Veränderungsraten der Jahresdurchschnitte

format: XLS

fr: Evolution générale des prix en Suisse. Taux de variation des moyennes annuelles

preise

display_name: preise

pretschs

display_name: pretschs

prezzi

display_name: prezzi

prices

display_name: prices

prix

display_name: prix

econ

fr: Économie et finances

de: Wirtschaft und Finanzen

en: Economy and finance

it: Economia e finanze


fr: Organisation du travail et aménagement du temps de travail en Suisse et en comparaison européenne 2019

de: Arbeitsorganisation und Arbeitszeitgestaltung in der Schweiz und im europäischen Vergleich 2019

arbeit-und-erwerb

display_name: arbeit-und-erwerb

lavoro-e-reddito

display_name: lavoro-e-reddito

lavur-e-gudogn

display_name: lavur-e-gudogn

travail-et-remuneration

display_name: travail-et-remuneration

work-and-income

display_name: work-and-income


fr: Personnes ayant déménagé selon l'époque de construction

de: Umgezogene Personen nach Bauperiode der Gebäude

it: Persone che hanno traslocato secondo l'epoca di costruzione

bau--und-wohnungswesen

display_name: bau--und-wohnungswesen

construction-and-housing

display_name: construction-and-housing

construction-et-logement

display_name: construction-et-logement

construcziuns-ed-abitaziuns

display_name: construcziuns-ed-abitaziuns

costruzioni-e-abitazioni

display_name: costruzioni-e-abitazioni

soci

fr: Population et société

de: Bevölkerung und Gesellschaft

en: Population and society

it: Popolazione e società


fr: Exploitations agricoles: gestion, formation, condition de propriété et reprise selon la classe de taille SAU

fr: Ce dataset présente le nombre d'exploitations agricoles selon la classe de taille de la surface agricole utile, la gestion, la formation, la condition de propriété et la reprise, en 2010, 2013, 2016 et 2020.

fr: Structure JSON

de: JSON-Struktur

de: Landwirtschaftsbetriebe: Betriebsführung, Ausbildung, Eigentumsverhältnisse und Weiterführung nach Grössenklasse LN

de: Dieses Dataset präsentiert die Zahl der Landwirtschaftsbetriebe nach Grössenklasse der landwirtschaftlichen Nutzfläche, Betriebsführung, Ausbildung, Eigentumsverhältnisse und Weiterführung, 2010, 2013, 2016 und 2020.

agricoltura-e-selvicoltura

display_name: agricoltura-e-selvicoltura

agricultura-ed-economia-forestala

display_name: agricultura-ed-economia-forestala

agriculture-and-forestry

display_name: agriculture-and-forestry

agriculture-et-sylviculture

display_name: agriculture-et-sylviculture

land--und-forstwirtschaft

display_name: land--und-forstwirtschaft

agri

fr: Agriculture, pêche, sylviculture et alimentation

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

en: Agriculture, fisheries, forestry and food

it: Agricoltura, pesca, silvicoltura e prodotti alimentari


energie

title_for_slug: energie

fr: Énergie

fr: Ce dataset présente les chiffres annuels des Statistiques des villes suisses 2023 - Energie: Service des eaux et Service du gaz; Eau captée par an; Eau livrée en 24 heures; En litres par habitant et jour de la région desservie; Fourniture de gaz, en 2021. Les descriptions (informations générales, légende, explication des codes, liste variables, explications variables, source, status de la donnée) des variables du fichier CSV sont disponibles dans l’annexe.

de: Energie

de: Dieses Dataset präsentiert die jährlichen Zahlen der Statistik der Schweizer Städte 2023 - Energie: Wasser- und Gasversorgung; Jährliche Wassergewinnung; Tägliche Wasserabgabe; Liter je einwohner/in und Tag des Versorgunsgebietes; Gasverkauf, 2021. Die Beschreibungen (allgemeine Informationen, Legende, Erklärungen zur Codes, Liste der Variablen, Erklärungen zur Variablen, Quellen, Status der Daten) der Variablen in der CSV-Datei sind im Anhang verfügbar.

format: ODS

media_type: text/csv

format: CSV

mimetype: text/csv

energia

display_name: energia

energie

display_name: energie

energy

display_name: energy

espace-et-environnement

display_name: espace-et-environnement

raum-und-umwelt

display_name: raum-und-umwelt

territori-ed-ambient

display_name: territori-ed-ambient

territorio-e-ambiente

display_name: territorio-e-ambiente

territory-and-environment

display_name: territory-and-environment

ener

en: Energy

it: Energia


fr: Kanton Bern - Die Bevölkerungszahlen auf lokaler Ebene vor 1850

fr: Ce dataset présente les effectifs de la population du canton de Berne au niveau local (paroisse ou commune) selon des dénombrements ou recensements effectués entre 1730 - 1850. Les descriptions des variables du fichier CSV sont disponibles dans l’annexe.

de: Dieses Dataset präsentiert die Bevölkerungszahlen des Kantons Bern auf lokaler Ebene (Pfarrgemeinde oder politische Gemeinde) gemäss Erhebungen und Volkszählungen ausgeführt zwischen 1730 - 1850. Die Beschreibungen der Variablen in der CSV-Datei sind im Anhang verfügbar.

it: Questo dataset presenta l’effettivo della popolazione del Cantone Berna a livello locale (parrocchia o comune) secondo i conteggi o i censimenti effettuati tra il 1730 - 1850. Per le descrizioni delle variabili del file CSV si rimanda all’allegato.

bevolkerung

display_name: bevolkerung

popolazione

display_name: popolazione

population

display_name: population

populaziun

display_name: populaziun

spatial: Gemeinden


it: Kanton Schwyz - Die Bevölkerungszahlen auf lokaler Ebene vor 1850

it: Questo dataset presenta l’effettivo della popolazione del Cantone Svitto a livello locale (parrocchia o comune) secondo i conteggi o i censimenti effettuati tra il 1743 - 1850. Per le descrizioni delle variabili del file CSV si rimanda all’allegato.

de: Dieses Dataset präsentiert die Bevölkerungszahlen des Kantons Schwyz auf lokaler Ebene (Pfarrgemeinde oder politische Gemeinde) gemäss Erhebungen und Volkszählungen ausgeführt zwischen 1743 - 1850. Die Beschreibungen der Variablen in der CSV-Datei sind im Anhang verfügbar.

fr: Ce dataset présente les effectifs de la population du canton de Schwyz au niveau local (paroisse ou commune) selon des dénombrements ou recensements effectués entre 1743 - 1850. Les descriptions des variables du fichier CSV sont disponibles dans l’annexe.


fr: Appréciation de la qualité de l'environnement

de: Einschätzung der Umweltqualität

spatial: Sonstige Raumgliederungen

envi

fr: Environnement


fr: femme securite-sociale genre homme

de: mann geschlecht frau soziale-sicherheit

en: social-security woman man gender

it: genere sicurezza-sociale uomo donna

fr: Effectifs mensuels moyens de bénéficiaires d'indemnités journalières de l'assurance-chômage (AC), de rentes de l'assurance-invalidité (AI) et de l'aide sociale (AS) et part de ces effectifs par statut de revenu du travail, sexe, classe de nationalités et classe d'âges

de: Durchschnittlicher Monatsbestand der Beziehenden von ALV-Taggeldern (ALV), IV-Renten (IV) und Sozialhilfe (SH) und Anteil dieser Bestände nach Erwerbsstatus, Geschlecht, Nationalitätenkategorie und Altersgruppe

en: Monthly average number of recipients of daily unemployment insurance allowances (UI), invalidity insurance pensions (II) and social assistance (SA) and proportion of those numbers, by work income status, sex, nationality group and age group

it: Effettivo mensile medio di persone beneficiarie di indennità giornaliere dell'assicurazione contro la disoccupazione (AD), di rendite dell'assicurazione invalidità (AI) e dell'aiuto sociale (AS) e quota di tali beneficiari per statuto di reddito, sesso, categoria di nazionalità e fascia di età

fr: Ce dataset présente les chiffres annuels des effectifs mensuels moyens des bénéficiaires dans l'assurance chômage (AC), l'aide sociale (AS) et l'assurance invalidité (AI), en nombre absolu et en pourcentage, selon la prestation, le sexe, la classe d'âges et la nationalité (Suisses/Suissesses, étrangers/étrangères), depuis 2010. Les descriptions des variables du fichier CSV sont disponibles dans l’annexe.

de: Dieses Dataset präsentiert den jährlichen durchschnittlichen Monatsbestand in der Arbeitslosenversicherung (ALV), Sozialhilfe (SH) und Invalidenversicherung (IV), absolut und in %, nach Leistung, Geschlecht. Altersklasse und Nationalität (Schweizer\innen, Ausländer\innen), seit 2010. Die Beschreibungen der Variablen in der CSV-Datei sind im Anhang verfügbar.

en: This dataset presents the annual data on monthly average number of recipients of daily unemployment insurance allowances (UI), invalidity insurance pensions (II) and social assistance (SA), in absolute numbers and percentages, by benefit, gender, age group and nationality (Swiss/foreigners), since 2010. Descriptions of the variables in the CSV file are available in the Appendix.

it: Questo dataset presenta i dati annuali dal 2010 relativi agli effettivi mensili medi di persone beneficiarie dell’assicurazione contro la disoccupazione (AD), dell’aiuto sociale (AS) e dell’assicurazione per l'invalidità (AI), in numero assoluto e in percentuale, secondo la prestazione, il sesso, la fascia di età e la nazionalità (svizzera o straniera). Per le descrizioni delle variabili del file CSV si rimanda all’allegato.

donna

display_name: donna

femme

display_name: femme

frau

display_name: frau

gender

display_name: gender

genere

display_name: genere

genre

display_name: genre

geschlecht

display_name: geschlecht

homme

display_name: homme

man

display_name: man

mann

display_name: mann

securite-sociale

display_name: securite-sociale

segirezza-sociala

display_name: segirezza-sociala

sicurezza-sociale

display_name: sicurezza-sociale

social-security

display_name: social-security

soziale-sicherheit

display_name: soziale-sicherheit

uomo

display_name: uomo

woman

display_name: woman

bundesamt-fur-statistik-bfs

fr: Office fédéral de la statistique OFS

fr: L'OFS est le centre de compétence de la statistique publique suisse. Il produit des informations statistiques sur la population, l'économie, la société, la formation et la recherche, le territoire et l'environnement. Ces informations servent à la formation de l’opinion publique. Elles sont un outil de planification et de gouvernance dans tous les domaines de l’action politique et contribuent au bon fonctionnement de notre État moderne et démocratique.


de: Dieses Dataset präsentiert die jährliche Anzahl der Klienten in sozialmedizinischen Institutionen nach Grossregion und Kanton des Betriebes, Beherbergungstyp, Herkunft, Destination, Geschlecht und Altersklasse, ab 2006.

fr: Nombre de clients dans les institutions médico-sociales selon la grande région et le canton de l'établissement, le type d'hébergement, la provenance, la destination, le sexe et la classe d'âge

fr: Ce dataset présente le nombre annuel de clients dans les institutions médico-sociales selon la grande région et le canton de l'établissement, le type d'hébergement, la provenance, la destination, le sexe et la classe d'âge, depuis 2006.

gesundheit

display_name: gesundheit

health

display_name: health

salute

display_name: salute

sanadad

display_name: sanadad

sante

display_name: sante

heal

fr: Santé

de: Gesundheit

it: Salute

de: Bundesamt für Statistik BFS

de: Das BFS ist das nationale Kompetenzzentrum der öffentlichen Statistik der Schweiz. Es produziert und publiziert statistische Informationen über den Stand und die Entwicklung von Bevölkerung, Wirtschaft, Gesellschaft, Bildung, Forschung, Raum und Umwelt. Diese Informationen dienen der Meinungsbildung in der Bevölkerung sowie der Planung und Steuerung von zentralen Politikbereichen. Sie leisten einen wichtigen Beitrag für einen modernen, demokratischen Staat.


fr: Musées: collection et expositions

it: Musei: collezione ed esposizioni

de: Museen: Sammlung und Ausstellungen

educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

en: Education, culture and sport

it: Istruzione, cultura e sport


fr: population mere couple pere

de: mutter paar vater bevolkerung

en: couple father population mother

it: popolazione coppia madre padre

fr: Ménages privés selon le type de ménage et des caractéristiques régionales

fr: Ce dataset présente les chiffres annuels du nombre de ménages selon le type de ménage, le canton et la région linguistique, depuis 2010. Les descriptions des variables du fichier CSV sont disponibles dans l’annexe.

de: Privathaushalte nach Haushaltstyp und regionalen Merkmalen

de: Dieses Dataset präsentiert die jährlichen Zahlen der Haushalte nach Haushaltstyp, Kanton und Sprachgebiet, seit 2010. Die Beschreibungen der Variablen in der CSV-Datei sind im Anhang verfügbar.

it: Economie domestiche secondo il tipo di economia domestica et le caratteristiche regionali

it: Questo dataset presenta le cifre annuali per il numero di economie domestiche secondo il tipo di economia domestica, il Cantone e la regione linguistica, dal 2010. Per le descrizioni delle variabili del file CSV si rimanda all’allegato.

en: Private households by household type and regional characteristics

en: This dataset presents the annual figures for the number of households by type of household, canton and linguistic region, since 2010. Descriptions of the variables in the CSV file are available in the Appendix.

bevolkerung

display_name: bevolkerung

coppia

display_name: coppia

couple

display_name: couple

father

display_name: father

madre

display_name: madre

mere

display_name: mere

mother

display_name: mother

mutter

display_name: mutter

paar

display_name: paar

padre

display_name: padre

pere

display_name: pere

popolazione

display_name: popolazione

population

display_name: population

populaziun

display_name: populaziun

vater

display_name: vater

spatial: Sprachgebiete

soci

fr: Population et société

de: Bevölkerung und Gesellschaft


name: Fachstelle Open Government Data des Kantons Zürich

fr: Datenkatalog

de: Datenkatalog

en: Datenkatalog

it: Datenkatalog

fr: DCAT-AP CH – The Swiss Application Profile for Data Portals and Catalogues

de: API-Endpoint für Datensätze im Metadatenkatalog des Kantons Zürich

media_type: application/json

de: Enthält alle aktuell im Metadatenkatalog des Kantons Zürich enthaltenen Datensätze mit ihren Metadaten: (1) häufig nachgefragte Excel-Tabellen, (2) Indikatoren aus dem Gemeindeporträt, (3) Publikationen des Statistischen Amts sowie (4) offene Behördendaten des Kantons Zürich (ausgenommen offene Geodaten).

de: Enthält alle aktuell im Metadatenkatalog des Kantons Zürich enthaltenen Datensätze mit ihren Metadaten. Folgt dem Metadaten-Standard 'DCAT-AP CH v1' (eCH-0200).

gove

fr: Gouvernement et secteur public

de: Regierung und öffentlicher Sektor

en: Government and public sector

it: Governo e settore pubblico

econ

fr: Économie et finances

de: Wirtschaft und Finanzen

it: Economia e finanze

fachstelle-ogd-kanton-zuerich

de: Fach- und Koordinationsstelle Open Government Data Kanton Zürich

de: Die Fach- und Koordinationsstelle Open Government Data (OGD) ist das kantonale Kompetenzzentrum für offene Behördendaten im Statistischen Amt. Wir unterstützen die Organisationseinheiten und Organe des Kantons bei der Bereitstellung ihrer nicht schützenswerten Daten als Open Data.

political_level: canton

kanton-zuerich

capacity: public

value: ZH-Kt Fachstelle OGD - DCAT Harvester

de: Web Service des Metadatenkatalogs des Kantons Zürich


maintainer: Sektion energieeffizienter Verkehr

title_for_slug: Kennzahlen alternativ angetriebene PW

de: alternative-antriebe elektromobilitat hybridfahrzeuge co2 ogd92-bfe personenwagen elektrische-fahrzeuge

fr: Chiffres clés des voitures de tourisme neuves à propulsion alternative

de: Kennzahlen alternativ angetriebene PW

en: Key figures for alternatively powered passenger cars

it: Indicatori relativi alle automobili a propulsione alternativa

author: Bundesamt für Energie BFE

de: Storymap

fr: Modèles de voitures de tourisme hybrides rechargeables les plus prisés

de: Beliebteste Plug-In PW-Modelle (PHEV)

en: Most popular plug-in models (cars)

it: Automobili plug-in più diffuse (modelli PHEV)

fr: Depuis 2015, l’Office fédéral de l’énergie recense chaque trimestre les modèles de voitures de tourisme hybrides rechargeables (PHEV) les plus prisés; depuis 2021, les données sont disponibles à un rythme mensuel. Tous les modèles hybrides rechargeables disponibles en Suisse sont pris en compte.

en: Since 2015, the Swiss Federal Office of Energy has reported the most popular plug-in models (PHEVs) among passenger cars on a quarterly basis; since 2021, the data has been available on a monthly basis. All plug-in models from Switzerland are counted together.

de: Ab 2015 weist das Bundesamt für Energie quartalsweise die beliebtesten Plug-In Modelle (PHEV) bei den Personenwagen aus, ab 2021 sind die Daten in monatlicher Auflösung verfügbar. Dabei werden alle Plug-In Modelle aus der Schweiz zusammengezählt.

it: Dal 2015 l'Ufficio federale dell'energia indica su base trimestrale i modelli più diffusi di automobili plug-in (PHEV); dal 2021 i dati sono disponibili con risoluzione mensile. Vengono conteggiati tutti i modelli plug-in presenti in Svizzera.

fr: Statistiques des motorisations alternatives des voitures de tourisme

fr:
Sur la base des données anonymisées des nouvelles immatriculations publiées par l’OFROU, l’Office fédéral de l’énergie évalue depuis 2015 les statistiques des motorisations alternatives des voitures de tourisme.
Sont réputés véhicules à propulsion alternative les véhicules dont la propulsion ne se fait pas exclusivement avec un moteur à combustion à essence ou à diesel.
Ce jeu de données montre le nombre de voitures de tourisme à motorisation alternative par type de motorisation et par canton. Les données sont présentées sous forme de totaux annuels (2015-actuel), trimestriels (2015-2020) ou mensuels (2021-actuel).
Légende: t1 = émissions moyennes de CO2, t2 = nombre de BEV, t3 = nombre de PHEV essence, t4 = nombre de PHEV diesel, t5 = nombre de hybride essence, t6 = nombre de hybride diesel, t7 = nombre de gaz naturel, t8 = nombre de nouvelles immatriculations, t10 = nombre de hydrogène

[La numérotation des cantons est celle de l’OFS](https://www.bfs.admin.ch/asset/fr/453856)

Trimestre 1-4 = Q1-Q4, Trimestre 5 = Total annuel
Mois 1-12 = Janvier-Février, Mois 13 = Total annuel

Le total annuel peut être un peu différent des totaux mensuels ou trimestriels cumulés en raison des ajustements rétroactifs dans la source de données utilisée.

en:
On the basis of the anonymised data for new registrations published by FEDRO, the Swiss Federal Office of Energy has evaluated key figures on alternatively powered passenger cars since 2015.
Alternatively powered vehicles are vehicles that are not solely powered by a petrol or diesel internal combustion engine.
This data set shows the number of alternatively powered passenger cars by type of drive per canton. The data is reported as annual totals (2015-current) as well as quarterly totals (2015-2020) and monthly totals (2021-current).

Key: t1 = Average CO2 emissions, t2 = Number of BEVs, t3 = Number of petrol PHEVs, t4 = Number of diesel PHEVs, t5 = Number of hybrid petrol, t6 = Number of hybrid diesel, t7 = Number of natural gas, t8 = Number of new registrations, t10 = Number of hydrogen

[Numbering of cantons according to FSO](https://www.bfs.admin.ch/bfs/en.assetdetail.453856.html)

Quarter 1-4 = Q1-Q4, Quarter 5 = Annual total
Month 1-12 = January-February, Month 13 = Annual total

The annual total may differ slightly from the cumulative monthly or quarterly totals due to retroactive adjustments in the data source used.

de:
Auf Basis der vom ASTRA publizierten, anonymisierten Neuzulassungsdaten wertet das Bundesamt für Energie seit 2015 wichtige Kennzahlen zu den alternativ angetriebenen Personenwagen aus. Als alternativ angetriebenen Fahrzeuge gelten Fahrzeuge, die nicht ausschliesslich über einen Benzin- oder Diesel-Verbrennungsmotor angetrieben werden.
Dieser Datensatz weist die Anzahl alternativ angetriebener Personenwagen nach Antriebsart pro Kanton aus. Die Daten werden als Jahressummen (2015-aktuell) sowie Quartalssummen (2015-2020) bzw. Monatssummen (2021-aktuell) ausgewiesen.

Legende: t1 = Durchschnittliche CO2-Emissionen, t2 = Anzahl BEV, t3 = Anzahl Benzin PHEV, t4 = Anzahl Diesel PHEV, t5 = Anzahl Hybrid Benzin, t6 = Anzahl  Hybrid Diesel, t7 = Anzahl Erdgas, t8 = Anzahl Neuzulassungen, t10 = Anzahl Wasserstoff

[Nummerierung der Kantone gemäss BFS](https://www.bfs.admin.ch/asset/de/453856)

Quartale 1-4 = Q1-Q4, Quartal 5 = Jahressumme
Monate 1-12 = Januar-Dezember, Monat 13 = Jahressumme

Die Jahressumme kann minimal von den kumulierten Monats- bzw. Quartalssummen abweichen. Dies ist auf laufende rückwirkende Anpassungen in der zugrundeliegenden Datenquelle zurückzuführen.

it:
Sulla base dei dati anonimizzati sulle nuove immatricolazioni pubblicati dall'USTRA, dal 2015 l'Ufficio federale dell'energia analizza importanti indicatori relativi alle automobili a propulsione alternativa.
Per veicoli a propulsione alternativa si intendono veicoli che non sono mossi esclusivamente da un motore a combustione a benzina o diesel.
Questo set di dati mostra il numero di auto turistiche con motore alternativo per tipo di motore e per cantone. I dati sono presentati come totali annuali (dal 2015 ad oggi), trimestrali (dal 2015 al 2020) o mensili (dal 2021 ad oggi).

Legenda: t1 = Emissioni medie di CO2, t2 = Numero di BEV, t3 = Numero di PHEV benzina, t4 = Numero di PHEV diesel, t5 = Numero di ibride benzina, t6 = Numero di ibride diesel, t7 = Numero di gas naturale, t8 = Numero nuove immatricolazioni, t10 = Numero di idrogeno

[Numerazione dei Cantoni secondo UST](https://www.bfs.admin.ch/bfs/it.assetdetail.453856.html)

Trimestre 1-4 = Q1-Q4, Trimestre 5 = Totale annuale
Mese 1-12 = Gennaio-Febbraio, Mese 13 = Totale annuale

Il totale annuale può essere leggermente diverso dai totali mensili o trimestrali cumulati a causa di rettifiche retroattive nella fonte dei dati usata.

fr: Modèles de voitures de tourisme entièrement électriques les plus prisés

de: Beliebteste vollelektrische PW-Modelle (BEV)

en: Most popular all-electric models (cars)

it: Modelli più diffusi di automobili completamente elettriche

fr: Depuis 2015, l’Office fédéral de l’énergie recense chaque trimestre les modèles de voitures de tourisme entièrement électriques (BEV) les plus prisés; depuis 2021, les données sont disponibles à un rythme mensuel. Tous les modèles entièrement électriques disponibles en Suisse sont pris en compte.

en: Since 2015, the Swiss Federal Office of Energy has reported the most popular all-electric models (BEVs) among passenger cars on a quarterly basis; since 2021, the data has been available on a monthly basis. All fully electric models from Switzerland are counted together.

de: Ab 2015 weist das Bundesamt für Energie quartalsweise die beliebtesten vollelektrische Modelle (BEV) bei den Personenwagen aus, ab 2021 sind die Daten in monatlicher Auflösung verfügbar. Dabei werden alle vollelektrischen Modelle aus der Schweiz zusammengezählt.

it: Dal 2015 l'Ufficio federale dell'energia indica su base trimestrale i modelli più diffusi di automobili completamente elettriche (BEV); dal 2021 i dati sono disponibili con risoluzione mensile. Vengono conteggiati tutti i modelli completamente elettrici presenti in Svizzera.

fr:
Sur la base des données anonymisées des nouvelles immatriculations publiées par l’OFROU, l’Office fédéral de l’énergie évalue depuis 2015 des chiffres clés importants concernant les voitures de tourisme à propulsion alternative. Sont réputés véhicules à propulsion alternative les véhicules dont la propulsion ne se fait pas exclusivement avec un moteur à combustion à essence ou à diesel. Ce jeu de données comprend, outre les statistiques annuelles agrégées, les chiffres trimestriels et mensuels des parts de marché ainsi que des indications sur les différents cantons. L’Office fédéral de l’énergie évalue par ailleurs les modèles entièrement électriques et hybrides rechargeables les plus prisés.

Base légale: art. 11 de l’ordonnance sur les exigences relatives à l’efficacité énergétique (OEEE)

en:
On the basis of the anonymised data for new registrations published by FEDRO, the Swiss Federal Office of Energy has evaluated key figures for alternatively powered passenger cars since 2015. Alternatively powered vehicles are vehicles that are not solely powered by a petrol or diesel internal combustion engine. In addition to aggregated annual key figures, this data set also contains quarterly and monthly market share figures as well as information regarding the individual cantons. Also, the Swiss Federal Office of Energy ranks the most popular all-electric and plug-in car models.

Legal basis: Energy Efficiency Ordinance (EnEO), Art. 11

de:
Auf Basis der vom ASTRA publizierten, anonymisierten Neuzulassungsdaten wertet das Bundesamt für Energie seit 2015 wichtige Kennzahlen zu den alternativ angetriebenen Personenwagen (PW) aus. Als alternativ angetriebenen Fahrzeuge gelten Fahrzeuge, die nicht ausschliesslich über einen Benzin- oder Diesel-Verbrennungsmotor angetrieben werden. Dieser Datensatz enthält neben aggregierten jährlichen Kennzahlen auch Quartals- und Monatszahlen der Marktanteile sowie Angaben zu den einzelnen Kantonen. Zudem wertet das Bundesamt für Energie bei den PW die beliebtesten vollelektrischen und Plug-In Modellen aus.

Rechtsgrundlage: Energieeffizienzverordnung (EnEV) Art. 11

it:
Sulla base dei dati anonimizzati sulle nuove immatricolazioni pubblicati dall'Ufficio federale delle strade (USTRA), dal 2015 l'Ufficio federale dell'energia analizza importanti indicatori relativi alle automobili a propulsione alternativa. Per veicoli a propulsione alternativa si intendono veicoli che non sono mossi esclusivamente da un motore a combustione a benzina o diesel. Oltre a indicatori annuali aggregati, questo set di dati contiene anche dati trimestrali e mensili relativi alle quote di mercato e indicazioni sui singoli Cantoni. Inoltre l'Ufficio federale dell'energia analizza i modelli di automobili completamente elettriche e plug-in più diffusi.

Base legale: ordinanza sull’efficienza energetica (OEEne), nello specifico l'articolo 11

alternative-antriebe

display_name: alternative-antriebe

elektrische-fahrzeuge

display_name: elektrische-fahrzeuge

elektromobilitat

display_name: elektromobilitat

hybridfahrzeuge

display_name: hybridfahrzeuge

personenwagen

display_name: personenwagen

ener

fr: Énergie

de: Energie

envi

fr: Environnement

de: Umwelt

it: Ambiente

tran

fr: Transports

de: Verkehr

en: Transport

it: Trasporti

de: Bundesamt für Energie BFE

bundesamt-fur-energie-bfe

fr: Office fédéral de l'énergie OFEN

en: Swiss Federal Office of Energy SFOE

it: Ufficio federale dell'energia UFE

fr: L'Office fédéral de l'énergie (OFEN) est le centre de compétences du Département fédéral de l'environnement, des transports, de l'énergie et de la communication (DETEC) pour les questions liées à l'approvisionnement en énergie et à son utilisation.

de: Das Bundesamt für Energie (BFE) ist das Kompetenzzentrum für Fragen der Energieversorgung und der Energienutzung im Eidgenössischen Departement für Umwelt, Verkehr, Energie und Kommunikation (UVEK).

en: The Swiss Federal Office of Energy (SFOE) is the country's competence centre for issues relating to energy supply and energy use at the Federal Department of the Environment, Transport, Energy and Communications (DETEC).

it: L'Ufficio federale dell'energia (UFE) è il centro di competenza in materia di approvvigionamento e di impiego dell'energia in seno al Dipartimento federale dell'ambiente, dei trasporti, dell'energia e delle comunicazioni (DATEC).


de: regierungsratswahlen nationalratswahlen ersatzwahl vorname wahlresultate geschlecht standeratswahlen jahrgang wahlarchiv name landratswahlen wahlergebnisse

de: turtle

media_type: text/turtle

de: Eidgenössische und kantonale Wahlen (seit 2003): Kandidierendenresultate nach Gemeinde (turtle)

format: RDF Turtle

de: Eidgenössische und kantonale Wahlen (seit 2003): Kandidierendenresultate nach Gemeinde (n3)

de: json

de: Eidgenössische und kantonale Wahlen (seit 2003): Kandidierendenresultate nach Gemeinde (json)

de: jsonld

de: Eidgenössische und kantonale Wahlen (seit 2003): Kandidierendenresultate nach Gemeinde (jsonld)

format: JSON-LD

de: xls

de: Eidgenössische und kantonale Wahlen (seit 2003): Kandidierendenresultate nach Gemeinde (xls)

de: jsonl

de: Eidgenössische und kantonale Wahlen (seit 2003): Kandidierendenresultate nach Gemeinde (jsonl)

de: csv

de: Eidgenössische und kantonale Wahlen (seit 2003): Kandidierendenresultate nach Gemeinde (csv)

de: rdfxml

media_type: application/rdf+xml

de: Eidgenössische und kantonale Wahlen (seit 2003): Kandidierendenresultate nach Gemeinde (rdfxml)

format: RDF XML

de: parquet

de: Eidgenössische und kantonale Wahlen (seit 2003): Kandidierendenresultate nach Gemeinde (parquet)

format: PARQUET

de: Kandidierendenresultate auf Ebene GemeindeZu weiteren Kandidierendenresultaten[Kandidierendenresultate auf Ebene Kanton (Nationalratswahlen) bzw. Wahlkreis (Landratswahlen)](https://data.bl.ch/explore/dataset/12770)[Herkunft der Kandidierendenstimmen auf Ebene Gemeinde](https://data.bl.ch/explore/dataset/12790)

ersatzwahl

display_name: ersatzwahl

geschlecht

display_name: geschlecht

jahrgang

display_name: jahrgang

landratswahlen

display_name: landratswahlen

name

display_name: name

nationalratswahlen

display_name: nationalratswahlen

regierungsratswahlen

display_name: regierungsratswahlen

standeratswahlen

display_name: standeratswahlen

vorname

display_name: vorname

wahlarchiv

display_name: wahlarchiv

wahlergebnisse

display_name: wahlergebnisse

wahlresultate

display_name: wahlresultate

gove

de: Regierung und öffentlicher Sektor

de: kanton-basel-landschaft

kanton-basel-landschaft

fr: Canton de Bâle-Campagne

de: Kanton Basel-Landschaft

en: Canton of Basel-Country

it: Cantone di Basilea-Campagna

en:
The Canton of Basel-Country publishes open datasets of cantonal offices and agencies.
Further information at https://ogd.bl.ch/

de:
Der Kanton Basel-Landschaft veröffentlicht nach und nach Open Government Datensätze von kantonalen Ämtern und Dienststellen.
Weitere Informationen unter https://ogd.bl.ch/

value: BL - DCAT


causal-effect-of-lup

maintainer: EnviDat Support

title_for_slug: causal-effect-of-lup

en: psm-did land-use-planning land-use-change annual-effect plan-evaluation

en: causal-effect-of-lup

media_type: application/zip

en:
Data.dbf contains the varibles of 1662 villages in Zhangzhou Cities
PSM_DID.R can re-produce the results

en:
Title: Does zoning contain built-up land expansion? Causal evidence from Zhangzhou City, China.

Research objective: Built-up land zoning is an imporatant policy measure of land use planning (LUP) to contain built-up land expansion in China. We used a difference-indifference model with propensity score matching to estimate the average and annual effect of built-up land zoning on built-up land expansion in Zhangzhou City, China between 2010 and 2020.

Data: Data.dbf contains the varibles of 1662 villages in Zhangzhou Cities in 1995, 2000, 2005, 2010, 2013, 2015, 2018, and 2020.
XZQDM2 is villages' unique administrative ID;
Area is the land area of village i;
Dis2water is the Euclidean distance from village i to the nearest waterbody;
Dis2coastl is the Euclidean distance from village i to the nearest coastline;
Dis2city is the the Euclidean distance from village i to the city center;
Dis2county is the the Euclidean distance from village i to the nearest county center;
Elevation is the the average elevation within village i;
Dis2road is the the Euclidean distance from village i to the nearest road;
Nei_Built_ is the the area of built-up land (Nei Built.upit) in the neighboring villages of village i in year t;
Treated is a binary variable, Treated = 1 to the villages that were partially or entirely located inside the development-permitted zones, and Treated = 0 to the villages that were entirely located outside the development-permitted zones;
Intensity is the percentage of land that was assigned to the development-permitted zones in village i;
Year represent the year in 1995, 2000, 2005, 2010, 2013, 2015, 2018, and 2020;
BuLE is the dependent variable, representing built-up land expansion in village i in year t;
Town is town' unique administrative ID.

Method: First, we employed propensity score matching to overcome the selection bias and satisfy the parallel trend
assumption. Second, we built four Difference-in-Difference models to estimate the average and annual effect.

annual-effect

display_name: annual-effect

land-use-change

display_name: land-use-change

land-use-planning

display_name: land-use-planning

plan-evaluation

display_name: plan-evaluation

psm-did

display_name: psm-did

educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

en: Education, culture and sport

it: Istruzione, cultura e sport

envidat

fr: EnviDat: le portail de données environnementales

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

it: EnviDat: il portale dei dati ambientali

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

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

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

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

value: Envidat Harvester

en: Causal effect of LUP


en: community-structure climate-change environmental-dna fish arctic

en: Data and code to reproduce the analysis of "Community structure and range shifts in Arctic marine fish under climate change"

en: Zip file with data and code

en:
Data and code for the paper published in Ecography: Community structure and range shifts in Arctic marine fish under climate change
Abstract:
Arctic marine ecosystems are rapidly transforming due to climate change. Warming temperatures and shrinking sea ice are enabling boreal fish to expand northward, possibly disturbing cold-adapted Arctic species assemblages. Species range shifts have been documented in the Bering and Barents Seas, raising concerns about ecosystem restructuring. Range shifts are especially difficult to detect in the Arctic due to sparse and inconsistent data. Here, we studied fish composition from eDNA water samples taken in East Greenland, Svalbard, the Barents Sea, and the Kara Sea during the TOPtoTOP and Arctic Century expeditions. We examined the environmental drivers of fish community structure using global dissimilarity models. We calculated the decadal rate of temperature change to identify the fastest-changing areas. We compared fish detections from eDNA with published historical records for the Kara Sea to assess possible range expansions. We found that temperature was the main factor influencing the taxa turnover of fish communities, with Gadidae and Liparis sp. driving the greatest compositional differences. Over the past 30 years, temperatures increased by 0.2 to 0.6°C per decade at our study sites, with the highest increases in western Svalbard and the lowest in the eastern Kara Sea. Despite the apparent dependence on temperature, we identified only one species detected outside its known latitudinal range, and five species in the Kara Sea with recent occurrences or representing an extended distribution. Our study suggests that temperature, the main driver of fish community assembly, is increasing rapidly in the Arctic, and a few species have likely already shifted recently, or at least their detections are new in some areas. While these detections cannot be definitively linked to range shifts, our results highlight the need to improve monitoring of high-latitude fish communities to detect and predict future ecosystem changes.
Article:
Marques, V., Fopp, F., Jaquier, M., Ellingsen, K. E., Yoccoz, N., Jucker, M., ...Pellissier, L. (2025). Community structure and range shifts in Arctic marine fish under climate change. Ecography, e8014. doi: 10.1002/ecog.08014
Data:
The resource contains a zip file with the entire project structure.
Data README:
 Intro
This repo presents data and code associated with the paper "Community structure and range shifts in Arctic marine fish under climate change" published in Ecography
 Usage
Launch the `main.R` script to reproduce the entire analysis.
It executes code blocks to create the data necessary for the analysis and then creates the figures.
💣 attention, total size is expected ~20 Go and the script will query the CMEMS database to fetch environmental data
 Tools
To make the scripts run, you need R, R packages (see session info below), python3, and the copernicusmarine python tool (https://pypi.org/project/copernicusmarine/).

 SessionInfo
```
sessionInfo()
R version 4.4.0 (2024-04-24)
Platform: aarch64-apple-darwin20
Running under: macOS 15.5
Matrix products: default
BLAS:  /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.4-arm64/Resources/lib/libRlapack.dylib; LAPACK version 3.12.0
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
time zone: Europe/Zurich
tzcode source: internal
attached base packages:
[1] stats   graphics grDevices
[4] utils   datasets methods
[7] base
other attached packages:
 [1] lwgeom_0.2-14
 [2] metR_0.15.0
 [3] ggtext_0.1.2
 [4] scico_1.5.0
 [5] ggnewscale_0.5.0
 [6] colorspace_2.1-1
 [7] climetrics_1.0-15
 [8] rts_1.1-14
 [9] xts_0.14.0
[10] zoo_1.8-12
[11] ggpubr_0.6.0
[12] adespatial_0.3-23
[13] ggspatial_1.1.9
[14] colorplaner_0.1.4
[15] ape_5.8
[16] factoextra_1.0.7
[17] corrgram_1.14
[18] FactoMineR_2.11
[19] betapart_1.6
[20] gdm_1.5.0-9.1
[21] terra_1.7-78
[22] rnaturalearth_1.0.1
[23] ggrepel_0.9.5
[24] vegan_2.6-6.1
[25] lattice_0.22-6
[26] permute_0.9-7
[27] cowplot_1.1.3
[28] tidyterra_0.6.1
[29] sf_1.0-16
[30] egg_0.4.5
[31] gridExtra_2.3
[32] patchwork_1.2.0
[33] viridis_0.6.5
[34] viridisLite_0.4.2
[35] mgcv_1.9-1
[36] nlme_3.1-165
[37] MBA_0.1-0
[38] reshape2_1.4.4
[39] conflicted_1.2.0
[40] lubridate_1.9.3
[41] forcats_1.0.0
[42] stringr_1.5.1
[43] dplyr_1.1.4
[44] purrr_1.0.2
[45] readr_2.1.5
[46] tidyr_1.3.1
[47] tibble_3.2.1
[48] ggplot2_3.5.1
[49] tidyverse_2.0.0
[50] devtools_2.4.5
[51] usethis_2.2.3
loaded via a namespace (and not attached):
 [1] splines_4.4.0
 [2] later_1.3.2
 [3] bitops_1.0-7
 [4] minpack.lm_1.2-4
 [5] XML_3.99-0.16.1
 [6] lifecycle_1.0.4
 [7] rstatix_0.7.2
 [8] doParallel_1.0.17
 [9] MASS_7.3-60.2
 [10] flashClust_1.01-2
 [11] backports_1.5.0
 [12] magrittr_2.0.3
 [13] rmarkdown_2.27
 [14] yaml_2.3.8
 [15] remotes_2.5.0
 [16] httpuv_1.6.15
 [17] sp_2.1-4
 [18] sessioninfo_1.2.2
 [19] pkgbuild_1.4.4
 [20] mapproj_1.2.11
 [21] pbapply_1.7-2
 [22] DBI_1.2.3
 [23] RColorBrewer_1.1-3
 [24] ade4_1.7-22
 [25] maps_3.4.2
 [26] abind_1.4-5
 [27] pkgload_1.3.4
 [28] RCurl_1.98-1.14
 [29] itertools_0.1-3
 [30] yaImpute_1.0-34
 [31] rcdd_1.6
 [32] units_0.8-5
 [33] adegenet_2.1.10
 [34] codetools_0.2-20
 [35] xml2_1.3.6
 [36] adephylo_1.1-16
 [37] DT_0.33
 [38] tidyselect_1.2.1
 [39] RNeXML_2.4.11
 [40] raster_3.6-26
 [41] farver_2.1.2
 [42] jsonlite_1.8.9
 [43] e1071_1.7-14
 [44] phylobase_0.8.12
 [45] ellipsis_0.3.2
 [46] iterators_1.0.14
 [47] emmeans_1.10.4
 [48] systemfonts_1.1.0
 [49] foreach_1.5.2
 [50] progress_1.2.3
 [51] tools_4.4.0
 [52] ragg_1.3.2
 [53] snow_0.4-4
 [54] Rcpp_1.0.13
 [55] glue_1.8.0
 [56] xfun_0.44
 [57] withr_3.0.0
 [58] fastmap_1.2.0
 [59] boot_1.3-30
 [60] latticeExtra_0.6-30
 [61] fansi_1.0.6
 [62] spData_2.3.1
 [63] digest_0.6.35
 [64] timechange_0.3.0
 [65] R6_2.5.1
 [66] mime_0.12
 [67] estimability_1.5.1
 [68] wk_0.9.1
 [69] textshaping_0.4.0
 [70] jpeg_0.1-10
 [71] utf8_1.2.4
 [72] generics_0.1.3
 [73] data.table_1.15.4
 [74] class_7.3-22
 [75] prettyunits_1.2.0
 [76] httr_1.4.7
 [77] htmlwidgets_1.6.4
 [78] scatterplot3d_0.3-44
 [79] spdep_1.3-5
 [80] pkgconfig_2.0.3
 [81] gtable_0.3.5
 [82] picante_1.8.2
 [83] adegraphics_1.0-21
 [84] htmltools_0.5.8.1
 [85] carData_3.0-5
 [86] profvis_0.3.8
 [87] multcompView_0.1-10
 [88] scales_1.3.0
 [89] leaps_3.2
 [90] png_0.1-8
 [91] doSNOW_1.0.20
 [92] geometry_0.4.7
 [93] rnaturalearthhires_1.0.0.9000
 [94] knitr_1.47
 [95] rstudioapi_0.16.0
 [96] rncl_0.8.7
 [97] uuid_1.2-0
 [98] tzdb_0.4.0
 [99] checkmate_2.3.1
[100] coda_0.19-4.1
[101] magic_1.6-1
[102] proxy_0.4-27
[103] cachem_1.1.0
[104] KernSmooth_2.23-24
[105] parallel_4.4.0
[106] miniUI_0.1.1.1
[107] s2_1.1.6
[108] pillar_1.9.0
[109] grid_4.4.0
[110] vctrs_0.6.5
[111] urlchecker_1.0.1
[112] promises_1.3.0
[113] car_3.1-2
[114] xtable_1.8-4
[115] cluster_2.1.6
[116] evaluate_0.24.0
[117] mvtnorm_1.2-5
[118] cli_3.6.3
[119] compiler_4.4.0
[120] rlang_1.1.4
[121] crayon_1.5.2
[122] ggsignif_0.6.4
[123] labeling_0.4.3
[124] interp_1.1-6
[125] classInt_0.4-10
[126] plyr_1.8.9
[127] fs_1.6.4
[128] stringi_1.8.4
[129] deldir_2.0-4
[130] munsell_0.5.1
[131] Matrix_1.7-0
[132] hms_1.1.3
[133] seqinr_4.2-36
[134] shiny_1.8.1.1
[135] gridtext_0.1.5
[136] igraph_2.0.3
[137] broom_1.0.6
[138] memoise_2.0.1
[139] fastmatch_1.1-4
```
 Data content and reproducibility
Uncleaned raw table out of the bioinformatics pipeline can be found concatenated in `outputs/table_raw_before_cleaning.csv`, yet we caution readers to properly read the cleaning scripts should they wish to reproduce our analysis and this file is presently uncleaned.

arctic

display_name: arctic

climate-change

display_name: climate-change

community-structure

display_name: community-structure

environmental-dna

display_name: environmental-dna

fish

display_name: fish

en: Data and code for Community structure and range shifts in Arctic marine fish under climate change


alan-spongy-moth-laboratory-experiment

title_for_slug: alan-spongy-moth-laboratory-experiment

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

en: R code for the pupation analysis and producing the graphics.

format: OCTET

en: Raw data modified and used for the Bodymass Analysis

en: R code for the Cox hazard analysis and producing the Kaplan Meier survival curves for both Mortality and Pupation.

en: R code for the bodymass analysis and producing the graphics.

en: Raw data used for the Pupation and Cox Hazard/Kaplan Meier Analysis.

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

alan

display_name: alan

insect-development

display_name: insect-development

lab-experiment

display_name: lab-experiment

light-pollution

display_name: light-pollution

spongy-moth

display_name: spongy-moth

en: ALAN Spongy Moth Laboratory Experiment


en: red-list range-size bryophytes endemic europe conservation-priority rarity

en: This dataset provides data on the occurrence of 672 European bryophyte species in European countries or territories. All species which are considered threatened or near threatened according to the European Red List (Hodgetts et al. 2019) are included (553 species). Further, all species evaluated in the European Red List assessed as LC, DD, NE and EX, which at the same time are either endemic, near endemic or globally rare, are included (119 species). Therefore, the list contains not only all European bryophyte species that are threatened or near threatened, but also all species endemic or near endemic to Europe as well as all globally rare species occurring in Europe. For each of the 553 threatened or near threatened species, we provide a conservation a priority score which was calculated based the Red List status and the proportion of the European population of the global population or the global rarity of the species. For details on the prioritisation approach see Bisang et al. (2025).

bryophytes

display_name: bryophytes

conservation-priority

display_name: conservation-priority

endemic

display_name: endemic

europe

display_name: europe

range-size

display_name: range-size

rarity

display_name: rarity

red-list

display_name: red-list

educ

en: Education, culture and sport

en: Priority ranking for the conservation of all European bryophyte species - dataset


en: colombia fish edna vert01 metabarcoding magdalena teleo

en: Data access

en: Please cyberduck to download for the moment

en:
Monitoring of vertebrates of the lower Magdalena river through eDNA metabarcoding

The Magdalena River basin harbors a large biodiversity of vertebrates, with numerous endemic species, many of which are threatened. Here, we used environmental DNA (eDNA) metabarcoding, with two primer sets targeting different regions of the mitochondrial DNA 12S ribosomal RNA gene, to detect vertebrate diversity in the Magdalena River. We detected a total of 159 vertebrate taxa, not only aquatic but also terrestrial, arboreal, and aerial. The diversity of these vertebrates increases in relation to the proximity to the river mouth with a change in the composition of the assemblage of aquatic vertebrates detected. We conclude that eDNA metabarcoding allows characterizing vertebrate assemblages in large rivers, assessing conservation status, and elucidating biodiversity patterns with minimal ecosystem disturbance. Samples were taken at the sides of the river or in the center using a boat. At each station, we performed two filtration replicates using a peristaltic pump to conduct environmental DNA (eDNA) sampling. Each filtration targeted a maximum duration of 1 hours, during which a maximum of 30 liters of water were filtered through each capsule. After filtration, the water inside the capsules was removed, and the capsules were filled with 50 ml of conservation buffer for preservation at room temperature. We followed strict contamination control protocols throughout both the fieldwork and laboratory processes, adhering to the guidelines of Valentini et al. (2016). To prevent contamination, each sample was processed using disposable gloves and single-use filtration equipment. The MiSeq Reagent Kit v3 (2x75 bp) (Illumina, San Diego, CA, USA) was used for paired-end sequencing at a theoretical sequencing depth of 200,000 reads per sample.

Data content:
	* rawdata/: contains the raw reads for each individual sample. One archive contains the paired-end reads specified by the _R1 or _R2 suffix as well as individually tagged PCR replicates (if available) together with an archive containing all extraction and PCR blank samples of the library. Reads have been demultiplexed using cutadapt but not trimmed, individual demultiplexing tags and primers remain present in the sequences.
	* taxadata/: contains the table with all detected taxonomy for each sample after bioinformatic processing (see Polanco et al. 2020 for details; https://doi.org/10.1002/edn3.140) and associated field metadata.
	* metadata/: contains two metadata files, one related to the data collected in the field for each filter, and the second related to the sequencing process in the lab (including the tag sequence, library name, and marker information for each sample)

colombia

display_name: colombia

edna

display_name: edna

magdalena

display_name: magdalena

metabarcoding

display_name: metabarcoding

teleo

display_name: teleo

envidat

en: EnviDat: the Environmental Data Portal

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

en: Environmental DNA Freshwater Colombia Magdalena 2022


dataset-on-new-snow-water-equivalent

title_for_slug: dataset-on-new-snow-water-equivalent

en: snowfall new-snow precipitation data-assimilation snow-modelling

en: The .zip file contains all data as described in this repository and associated publication. The .zip file contains a readme file describing its content in detail.

en:
This dataset includes quality-controlled measurements of new snow depth (HN), new snow water equivalent (HNW), snow depth (HS), and snow water equivalent (SWE) from 41 stations located in Switzerland for the period from 2016-09-01 to 2022-08-31.
These data are the basis of the following publication: Magnusson J., Cluzet B., Quéno L., Mott R., Oberrauch M., Mazzotti G., Marty C., Jonas T., 2025, Evaluating methods to estimate the water equivalent of new snow from daily snow depth recordings, Cold Regions Science and Technology, https://doi.org/10.1016/j.coldregions.2025.104435.
Abstract
The water equivalent of new snow (HNW) plays a crucial role in various fields, including hydrological modeling, avalanche forecasting, and assessing snow loads on structures. However, in contrast to snow depth (HS), obtaining HNW measurements is challenging as well as time-consuming and is hence rarely measured. Therefore, we assess the reliability of two semi-empirical methods, HS2SWE and ΔSNOW, for estimating HNW. These methods are designed to simulate continuous water equivalent of the snowpack (SWE) from daily HS only, with changes in SWE yielding daily HNW estimates. We compare both parametric methods against HNW predictions from a physics-based snow model (FSM2oshd) that integrates daily HS recordings using data assimilation. Our findings reveal that all methods exhibit similar performance, with relative biases of less than ~3 % in replicating SWE observations commonly used for model evaluations. However, the ΔSNOW model tends to underestimate daily HNW by ~17 %, whereas HS2SWE and FSM2oshd combined with a particle filter data assimilation scheme provide nearly unbiased estimates, with relative biases below ~5 %. In contrast to the parsimonious parametric methods, we show that the physics-based approach can yield information about unobserved variables, such as total solid precipitation amounts, that may differ from HNW due to concurrent melt. Overall, our results underscore the potential of utilizing commonly available daily HS data in conjunction with appropriate modeling techniques to provide valuable insights into snow accumulation processes. Our study demonstrates that daily SWE observations or supplementary measurements like HNW are important for validating the day-to-day accuracy of simulations and should ideally already be incorporated during the calibration and development of models.
Acknowlegements
These data were recorded by SLF observers and staff members. Their contribution is gratefully acknowledged.

data-assimilation

display_name: data-assimilation

new-snow

display_name: new-snow

precipitation

display_name: precipitation

snow-modelling

display_name: snow-modelling

snowfall

display_name: snowfall

en: Dataset on new snow water equivalent


maintainer: Yves Bühler

en: snow-depth-mapping dsm photogrammetry wingtra orthophoto uav drone-data

en: Data Access

en:
- DSM (10 cm resolution)
- Ortho (3 cm resolution)
- HS (10 cm resolution)
- original RGB drone images
- Agisoft Metashape Processing Report

All products are also available as a cloud optimized geotiff.

en: To map and assess snow depth on different dates, 9 flights were conducted in the winter season of 2020/21 at the Latschüelfurgga in Davos. The data was captured with a Sony RX1R II mounted on a Wingtra drone and was processed with the Agisoft Metashape software. High-resolution DSMs, orthomosaics and snow height rasters, as well as the original RGB images from each flight are available.

drone-data

display_name: drone-data

dsm

display_name: dsm

orthophoto

display_name: orthophoto

photogrammetry

display_name: photogrammetry

snow-depth-mapping

display_name: snow-depth-mapping

uav

display_name: uav

wingtra

display_name: wingtra

en: Photogrammetric Drone Data Latschuelfurgga


photogrammetric-drone-data-schurlialp

title_for_slug: photogrammetric-drone-data-schurlialp

en: photogrammetry wingtra uav drone-data orthophoto dsm

en:
- 10 cm DSM
- 10 cm HS
- 3 cm orthophoto
- original RGB images
- Agisoft Metashape Processing Report

All of the products are also available as a cloud optimized geotiff.

en: The data was collected on 16.04.2021 and on 28.05.2021 with a Wingtra Gen II and a Sony RX1 II RGB sensor to obtain snow depth and distribution data. Following the data collection, the data was processed with Agisoft Metashape. A 10cm DSM, a 10cm snow depth raster, a 3mm orthophoto and the original drone images are available for download.

educ

en: Education, culture and sport

en: Photogrammetric Drone Data Schürlialp


en: acclimation invasive-species respiration photosynthesis leaf spac-model

en: Thermal tolerance of T. fortunei.zip

en:
This dataset originates from a two-year transplant experiment conducted across a temperature gradient in Europe (mean annual temperatures: 8.4–21.8 °C). It includes physiological measurements of one invasive palm species (Trachycarpus fortunei) and two co-occurring native species (Ilex aquifolium and Tilia cordata). The dataset captures plant acclimation responses to air temperature, focusing on photosynthetic and respiratory traits that influence carbon balance.
Variables that can be extracted:
- Optimal temperature of photosynthesis (Topt)
- Photosynthetic rate at optimal temperature (Aopt)
- Thermal breadth of photosynthesis (T80)
- Respiration rate at 25 °C (R25)
- Temperature sensitivity of respiration (Q10)
Raw data are reported for all species across multiple sites and time points, enabling assessment of their acclimation capacity to warming. The dataset supports comparisons of functional plasticity between an invasive species and native taxa, providing insights into climate responses and invasion ecology.

acclimation

display_name: acclimation

invasive-species

display_name: invasive-species

leaf

display_name: leaf

photosynthesis

display_name: photosynthesis

respiration

display_name: respiration

spac-model

display_name: spac-model

envidat

en: EnviDat: the Environmental Data Portal

en: Thermal acclimation fails to confer a carbon budget advantage to invasive species over natives


maintainer: James W. Kirchner

en: de-mixing transfer-function irfnnhsr deconvolution arma-noise impulse-response-function time-series-analysis system-identification irf nonlinear-deconvolution greens-function

en: Benchmark demonstration scripts and results

en: README file for IRFnnhs.R and benchmark demonstration scripts

en: Impulse Response Function script

en:
The R script IRFnnhs.R, which efficiently estimates impulse response functions for environmental systems that are nonlinear, nonstationary, or heterogeneous, based on their input and output time series.

Scripts and results for a series of benchmark tests are also provided, to accompany Kirchner, J.W., Impulse response functions for heterogeneous, nonstationary, and nonlinear systems, estimated by deconvolution and demixing of noisy time series, _Sensors_, 22(9), 3291, https://doi.org/10.3390/s22093291, 2022.

arma-noise

display_name: arma-noise

de-mixing

display_name: de-mixing

deconvolution

display_name: deconvolution

greens-function

display_name: greens-function

impulse-response-function

display_name: impulse-response-function

irf

display_name: irf

irfnnhsr

display_name: irfnnhsr

nonlinear-deconvolution

display_name: nonlinear-deconvolution

system-identification

display_name: system-identification

time-series-analysis

display_name: time-series-analysis

transfer-function

display_name: transfer-function

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: Impulse response functions for nonlinear nonstationary and heterogeneous systems


maintainer: Matthias Haeni

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

en: Data plot of the forest station (CLB)

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

en: Data plot of the field station (CLF)

en: Data file.

en: Site aerial photo (Celerina)

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

mimetype: image/jpeg

en: Site photo of the forest station (CLB)

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

en: Site photo of the field station (CLF)

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

en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for two meteorological stations in Celerina in Switzerland where one station is located within a natural coniferous forest stand (CLB) with Swiss pine (_Pinus cembra_; 210-250 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, CLF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Celerina is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed

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


en: forest microclimate biodiversity climate-change statistical-interpolation radiation-transfer ecology

en: Predicted microclimate air temperatures at 100 cm above ground. 10 m spatial resolution raster files are provided for mean daily minimum (tmin), mean (tmean) and maximum (tmax) temperatures during each month from April (04) to October (10) over the period between 2012 to 2021.

en: Predicted microclimate topsoil temperatures at 5 cm below ground. 10 m spatial resolution raster files are provided for mean daily minimum (tmin), mean (tmean) and maximum (tmax) temperatures during each month from April (04) to October (10) over the period between 2012 to 2021.

en: Predicted microclimate air temperatures at 5 cm above ground. 10 m spatial resolution raster files are provided for mean daily minimum (tmin), mean (tmean) and maximum (tmax) temperatures during each month from April (04) to October (10) over the period between 2012 to 2021.

en: Climate data matching the scales at which organisms experience climatic conditions are often missing. Yet, such data on microclimatic conditions are required to better understand climate-change impacts on biodiversity and ecosystem functioning. Here we combine a national network of microclimate temperature measurements with a novel radiative transfer model to map monthly minimum, mean and maximum temperatures during the vegetation period at a 10 meter spatial resolution across Switzerland. The temperature measurements took place in 107 sampling plots distributed across different habitat types, with 62 plots in forests, 22 below trees outside forests, and 23 in open grasslands. In each plot we measured temperature in the topsoil (-5cm), as well as in the air at 5cm and 100cm height above ground. Spatial interpolation was achieved by using a hybrid approach based on linear mixed effects models with input from detailed radiation estimates that account for topographic and vegetation shading, as well as other predictor variables related to the macroclimate, topography and vegetation height. Our data reveals strong horizontal and vertical variability in microclimate temperature, particularly for maximum temperatures at 5 cm above the ground and within the topsoil. Compared to macroclimate conditions as measured by weather stations outside forests, diurnal air and topsoil temperature ranges inside forests were reduced by up to 3.0 and 7.8 °C, respectively, while below trees outside forests, e.g. in hedges and below solitary trees, this buffering effect was 1.8 and 7.2 °C. We also found that in open grasslands, maximum temperatures at 5 cm above ground are on average 3.4 °C warmer than that of macroclimate, suggesting that in such habitats heat exposure close to the ground is often underestimated when using macroclimatic data. After accounting for macroclimate effects, microclimate patterns were primarily driven by radiation, with particularly strong effects on maximum temperatures. Results from spatial block cross-validation revealed predictive accuracies as measured by RSME’s ranging from 1.18 to 3.43 °C, with minimum temperatures generally being predicted more accurately than maximum temperatures. The microclimate maps presented here enable a more biologically relevant perspective when analysing climate-species interactions, which is expected to lead to a better understanding of biotic and ecosystem responses to climate and land use change.

biodiversity

display_name: biodiversity

ecology

display_name: ecology

forest

display_name: forest

microclimate

display_name: microclimate

radiation-transfer

display_name: radiation-transfer

statistical-interpolation

display_name: statistical-interpolation

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: Monthly topsoil and near surface microclimate temperature data for Switzerland


maintainer: Roman Zweifel

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

en: Collection of files with information about the research site Seehornwald Davos CH-DAV

en: Readme

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

atmospheric-conditions

display_name: atmospheric-conditions

automated-monitoring

display_name: automated-monitoring

biomass

display_name: biomass

carbon-cycle

display_name: carbon-cycle

carbon-dioxide

display_name: carbon-dioxide

carbon-sequestration

display_name: carbon-sequestration

carbon-storage

display_name: carbon-storage

climate-growth

display_name: climate-growth

davos

display_name: davos

dbh

display_name: dbh

dendrometer

display_name: dendrometer

ecophysiology

display_name: ecophysiology

ecosystem-functioning

display_name: ecosystem-functioning

eddy-covariance

display_name: eddy-covariance

eddy-covariance-measurements

display_name: eddy-covariance-measurements

flux

display_name: flux

forest-area

display_name: forest-area

forest-biomass

display_name: forest-biomass

forest-canopy

display_name: forest-canopy

forest-characteristics

display_name: forest-characteristics

forest-dynamics

display_name: forest-dynamics

forest-ecosystems

display_name: forest-ecosystems

forest-function

display_name: forest-function

forest-monitoring

display_name: forest-monitoring

icos

display_name: icos

icp-forests

display_name: icp-forests

ilter

display_name: ilter

lwf

display_name: lwf

metadata

display_name: metadata

open-data

display_name: open-data

picea-abies

display_name: picea-abies

sap-flow

display_name: sap-flow

seehornwald

display_name: seehornwald

stem-growth

display_name: stem-growth

subalpine

display_name: subalpine

tree-stem

display_name: tree-stem

treenet

display_name: treenet

twd

display_name: twd

water-relations

display_name: water-relations

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: Site description Davos Seehornwald CH-DAV


en: weissfluhjoch enet snow-temperatures snow-water-equivalent snow-height imis

en: DATA ACCESS

en:
Station WFJ2: merged IMIS + ENET datasets. Provides parameters height of snow, snow surface temperatures and snow temps at 0, 1, 1.5 m above ground surface. Supporting meteo data are also contained in this dataset.

fields      = timestamp TA RH TSG TSS HS VW DW VW_MAX OSWR PSUM VW_DRIFT DW_DRIFT TS1 TS2 TS3 HTS1 HTS2 HTS3

en: This dataset provides HS, TSS and TS50, TS100, TS150 at the station WFJ2 situated on the Weisfluhjoch research site (2536 m asl). It has been created from merging ENET and IMIS datsets to form a continuous timeseries from 1992- present. ENET is at 1 h resolution whereas IMIS is 30 min. This is a level 2 dataset as defined [here](http://models.slf.ch/p/dataset-processing/).

enet

display_name: enet

imis

display_name: imis

snow-height

display_name: snow-height

snow-temperatures

display_name: snow-temperatures

snow-water-equivalent

display_name: snow-water-equivalent

weissfluhjoch

display_name: weissfluhjoch

en: WFJ2: Snow measurements from the Weissfluhjoch research site, Davos


en: ice-nucleation clouds aerosol backward-trajectories raclets

en: This dataset version includes revised formatting for the start and end time fields.

en: This dataset contains number concentrations of ice-nucleating particles active at -15 °C observed at Weissfluhjoch during February and March 2019, as well as complementary data (measured aerosol number concentrations and modelled total precipitation along air mass trajectories). This data formed the basis of our paper with the title “Towards parameterising atmospheric concentrations of ice-nucleating particles active at moderate supercooling”.

aerosol

display_name: aerosol

backward-trajectories

display_name: backward-trajectories

clouds

display_name: clouds

ice-nucleation

display_name: ice-nucleation

raclets

display_name: raclets

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


maintainer: Milojevic

en: reservoir-inflow low-flow alpine-precipitation extreme-values return-periods

en: Daily Luzzone Reservoir Inflow 01-01-2000 to 31-12-2019

en: Daily total water inflow to Luzzone reservoir. Natural inflow (LUZ_inflow_raw) is back-calculated based on daily water level in reservoir (removing hydropower inputs and spills). Linear interpolation between daily values is used to bring all inflow values into positive space (LUZ_inflow_intrp).

en: R codes for Extreme Values Analysis

en: Zip file containing R codes for running extreme value analyses for high precipitation and inflow events as well as code for determining return levels of low inflow and low precipitation events

en:
 Summary

* Dataset of daily inflow to Luzzone reservoir in Ticino, Switzerland

* R scripts used to generate return levels for low reservoir inflow, low precipitation, high inflow, and extreme high precipitation based on various methods from extreme value analysis

 Data
The dataset included here is the "natural" reservoir inflow for the Luzzone reservoir.
Additional analyses were conducted on daily total precipitation of 6 meteorological stations (abbreviations: TIOLI, TIOLV, COM, VRN, VLS, ZEV). These precipitation data are freely available for teaching and research from the MeteoSwiss IDAweb portal (https://www.meteoswiss.admin.ch/services-and-publications/service/weather-and-climate-products/data-portal-for-teaching-and-research.html).

 Codes
R scripts used to determine return levels of the data set are included for both extreme high events and low events. The scripts include the following methods for calculating return levels:

* GEV (Generalized Extreme Value)

* GPD and GPDd (Generalized Pareto Distribution including declustered version)

* eGPD (extended Generalized Pareto Distribution)

* MEV (Metastatistical Extreme Value)

alpine-precipitation

display_name: alpine-precipitation

extreme-values

display_name: extreme-values

low-flow

display_name: low-flow

reservoir-inflow

display_name: reservoir-inflow

return-periods

display_name: return-periods

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: Data and Code on Extreme Inflow and Lowflow Analysis for Alpine Reservoirs