title_for_slug: Kennzahlen alternativ angetriebene LNF

de: ogd93-bfe elektromobilitat leichte-nutzfahrzeuge alternative-antriebe lieferwagen elektrische-fahrzeuge hybridfahrzeuge co2

fr: Chiffres clés des véhicules utilitaires légers neufs à propulsion alternative (VUL)

de: Kennzahlen alternativ angetriebene LNF

en: Key figures for alternatively powered LCVs

it: Indicatori VCL a propulsione alternativa

fr: Modèles de VUL entièrement électriques (modèles BEV) les plus prisés

de: Beliebteste vollelektrische LNF-Modelle (BEV)

en: Most popular all-electric LCV models (BEV)

it: VCL completamente elettrici più diffusi (modelli BEV)

fr:
L’Office fédéral de l’énergie évalue depuis 2020 les modèles de VUL entièrement électriques (modèles BEV) les plus prisés. Pour l’année 2020, des chiffres trimestriels sont disponibles; à partir de 2021, les valeurs sont disponibles à un rythme mensuel.

La numérotation des cantons est celle de l’OFS.

en:
The Swiss Federal Office of Energy has since 2020 ranked the most popular all-electric LCV models (BEV). Quarterly figures are provided for 2020; from 2021 on, the values are available on a monthly basis.

Numbering of cantons according to FSO

de:
Das Bundesamt für Energie wertet seit 2020 bei den LNF die beliebtesten, vollelektrischen Modellen (BEV) aus. Für das Jahr 2020 sind Quartalszahlen bereitgestellt, ab 2021 sind die Werte in monatlicher Auflösung verfügbar.

Nummerierung der Kantone gemäss BFS

it:
Dal 2020 l'Ufficio federale dell'energia analizza i modelli di VCL completamente elettrici più diffusi. Per il 2020 vengono forniti dati trimestrali, mentre dal 2021 in poi i valori sono disponibili con risoluzione mensile.

Numerazione dei Cantoni secondo UST.

fr: Chiffres clés des VUL à propulsion alternative

fr:
Sur la base des données anonymisées des nouvelles immatriculations publiées par l’OFROU, l’Office fédéral de l’énergie évalue depuis 2020 des chiffres clés importants concernant les voitures de livraison et tracteurs à sellette légers à propulsion alternative (véhicules utilitaires légers, VUL). Sont réputés véhicules à propulsion alternative les véhicules ne disposant pas exclusivement d’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.

Légende: t1 = émissions moyennes de CO2, t2 = part BEV, t3 = part PHEV essence, t4 = part PHEV diesel, t5 = part hybride essence, t6 = part hybride diesel, t7 = part gaz naturel, t8 = part nouvelles immatriculations, t10 = part hydrogène

La numérotation des cantons est celle de l’OFS.

en:
On the basis of the anonymised data for new registrations published by FEDRO, the Swiss Federal Office of Energy has evaluated since 2020 the key figures for alternatively powered vans and light articulated vehicles (collectively: light commercial vehicles, LCVs). Vehicles are considered to be alternatively powered if they do not have an exclusively petrol or diesel-driven 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.

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

Numbering of cantons according to FSO

de:
Auf Basis der vom ASTRA publizierten, anonymisierten Neuzulassungsdaten wertet das Bundesamt für Energie ab 2020 wichtige Kennzahlen zu den alternativ angetriebenen Lieferwagen und leichten Sattelschlepper (Sammelbegriff: leichte Nutzfahrzeuge, LNF) aus. Als alternativ angetrieben gelten Fahrzeuge, bei denen nicht ausschliesslich ein Benzin- oder Diesel-Verbrennungsmotor eingebaut ist. Dieser Datensatz enthält neben aggregierten jährlichen Kennzahlen auch Quartals- und Monatszahlen der Marktanteile sowie Angaben zu den einzelnen Kantonen.

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

Nummerierung der Kantone gemäss BFS

it:
Sulla base dei dati anonimizzati sulle nuove immatricolazioni pubblicati dall'USTRA, dal 2020 l'Ufficio federale dell'energia analizza importanti indicatori relativi agli autofurgoni e ai trattori a sella leggeri (iperonimo: veicoli commerciali leggeri VCL) a propulsione alternativa. Per veicoli a propulsione alternativa si intendono veicoli sui quali non è installato esclusivamente 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.

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

Numerazione dei Cantoni secondo UST.

fr:
Sur la base des données anonymisées des nouvelles immatriculations publiées par l’OFROU, l’Office fédéral de l’énergie évalue depuis 2020 des chiffres clés importants portant sur les voitures de livraison et tracteurs à sellette légers à propulsion alternative (véhicules utilitaires légers, VUL). 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’OFEN évalue en outre les modèles de VUL entièrement électriques 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 since 2020 evaluated key figures for alternatively powered vans and light articulated vehicles (collectively: light commercial vehicles, LCVs). 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 LCV models.

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

de:
Auf Basis der vom ASTRA publizierten, anonymisierten Neuzulassungsdaten wertet das Bundesamt für Energie seit 2020 die wichtigsten Kennzahlen zu den alternativ angetriebenen Lieferwagen und leichten Sattelschlepper (Sammelbegriff: leichte Nutzfahrzeuge, LNF) aus. Als alternativ angetrieben gelten Fahrzeuge, die nicht ausschliesslich über einen Benzin- oder Diesel-Verbrennungsmotor angetrieben werden. Dieser Datensatz enthält neben aggregierten jährlichen Kennzahlen auch Quartal- und Monatszahlen der Marktanteile sowie Angaben zu den einzelnen Kantonen. Zudem wertet das Bundesamt für Energie bei den LNF die beliebtesten, vollelektrischen Modellen aus.

Rechtsgrundlage: Energieeffizienzverordnung (EnEV) Art. 11

it:
Sulla base dei dati anonimizzati sulle nuove immatricolazioni pubblicati dall'USTRA, dal 2020 l'Ufficio federale dell'energia analizza importanti indicatori relativi agli autofurgoni e ai trattori a sella leggeri (iperonimo: veicoli commerciali leggeri VCL) 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 VCL completamente elettrici 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

leichte-nutzfahrzeuge

display_name: leichte-nutzfahrzeuge

lieferwagen

display_name: lieferwagen

energy

de: Energie

it: Energia

mobility

fr: Mobilité et transports

de: Mobilität und Verkehr

it: Mobilità e trasporti

territory

fr: Territoire et environnement

de: Raum und Umwelt

it: Territorio e ambiente

bundesamt-fur-energie-bfe

fr: Office fédéral de l'énergie OFEN

de: Bundesamt für Energie BFE

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).


geography

fr: Géographie

de: Geographie

en: Geography

it: Geografia

territory

en: Territory and environment

de: konzession wasserrecht entnahme ruckgabe kanal wasserrechtskanal stauwehr stauwehrreglement wasserrechtskonzession eheliche-konzession wasserrechtsbezirk wasserrechtsnummer

label: Geometadaten Kanton Zürich: GeoLion

label: geocat.ch permalink

state: active

spatial: Kanton Zürich

type: dataset

de: Download via GIS-Browser

de: Die konzessionierten Wasserrechte wurden ab 1997 mit den öffentlichen Oberflächengewässern im GIS erfasst (ohne die ältesten gelöschten WR) und werden seit 1998 als eigener Datensatz in Abstimmung zu den öffentlichen Oberflächengewässern vom AWEL, Abt. Wasserbau nachgeführt. Seit Januar 2022 werden aktive und gelöschte Wasserrechte in getrennten Datensätzen zu Verfügung gestellt. Die Daten sind auf dem SDE Server vom GIS-ZH abgelegt unter: GISZHPUB.WASSERRECHTE_F für die Wasserrechtsweiher (Flächendaten) GISZHPUB.WASSERRECHTE_GELOESCHT_F für die gelöschten Wasserrechtsweiher (Flächendaten) GISZHPUB.WASSERRECHTE_L für die Wasserrechtskanäle und Leitungen (Liniendaten) GISZHPUB.WASSERRECHTE_GELOESCHT_L für die gelöschten Wasserrechtskanäle und Leitungen (Liniendaten) GISZHPUB.WASSERRECHTE_P für die Entnahme- und Rückgabeorte (Punktdaten) GISZHPUB.WASSERRECHTE_GELOESCHT_P für die gelöschten Entnahme- und Rückgabeorte (Punktdaten) Für weitere Infos zu Nutzungszweck usw. klicke auf Mehr:

name:
Amt für Abfall, Wasser, Energie und Luft
             - Abteilung Wasserbau

geoinformation-kanton-zuerich

fr: Département de Géoinformation du Canton de Zurich

de: Geoinformation Kanton Zürich

en: Department of Geoinformation of the Canton of Zurich

it: Dipartimento della geoinformazione del Cantone di Zurigo

fr:
Le département de géomatique est le centre de compétence du system d'information géographique du canton de Zurich.
Nous coordinons l'aquisition des géodonnées d'intérêt commun sur le territoire cantonal et les mettons à disposition des
secteurs public et privé et des particuliers.

en:
The department of geoinformation is the geospatial competency center of the Canton of Zurich.
We coordinate the acquisition of geodata within the cantonal territory and provide public, private, and government sectors with data of outstanding quality.

de: Die Abteilung Geoinformation ist das Kompetenzzentrum für räumliche Informationen im Kanton Zürich. Wir versorgen Gesellschaft, Wirtschaft und öffentliche Verwaltung mit qualitativ hochstehenden Geodaten und Informationen über den Kanton Zürich.

it: La divisione della geoinformazione è il centro d'eccellenza del Cantone di Zurigo per dati georeferenziati. Mettiamo a disposizione dati geografici e informazioni di alta qualità per l'economia, la società e la pubblica amministrazione su tutto il cantone.

political_level: canton

kanton-zuerich

capacity: public

type: organization

approval_status: approved

value: ZH - Geocat Harvester

de: Wasserrechte


maintainer: Bundesamt für Energie BFE

fr: rpc prix-de-reference commercialisation-directe ogd60bfe retribution-de-l-injection

de: direktvermarktung referenz-marktpreis kev einspeiseverguetung ogd60bfe

fr: Prix de marché de référence selon l'art. 15, OEneR

de: Referenz-Marktpreise gemäss Art. 15, EnFV

author: Bundesamt für Energie BFE

media_type: SERVICE

format: SERVICE

mimetype: SERVICE

fr: Prix de marché de référence (art. 15, OEneR) - prix trimestriel

de: Referenz-Marktpreise (Art. 15, EnFV) - Quartalspreise

media_type: CSV

format: CSV

fr: Prix de marché de référence (art. 15, OEneR) - prix annuel

de: Referenz-Marktpreise (Art. 15, EnFV) – Jahrespreise

fr: Prix de marché de référence (art. 15, OEneR) - prix mensuel

de: Referenz-Marktpreise (Art. 15, EnFV) – Monatspreise

media_type: XML

format: XML

fr:
Le prix de marché de référence est déterminant pour la fixation de la prime d’injection pour les installations de production bénéficiant de la rétribution de l’injection. Le prix de marché de référence des __installations photovoltaïques__ correspond à la moyenne des prix fixés sur la bourse de l’électricité Swissix pour le jour suivant (day-ahead) sur un trimestre, pondérés par l’injection effective au quart d’heure des installations photovoltaïques avec mesure de la courbe de charge.
Pour les __autres technologies__, le prix de marché de référence pour les installations avec mesure de la courbe de charge correspond à la moyenne mensuelle des prix day-ahead qui sont fixés sur la bourse de l’électricité Suisse. Pour les installations sans mesure de la courbe de charge le prix de marché de référence correspond à la moyenne trimestrielle.

Les prix s'entendent hors TVA.

de:
Der Referenz-Marktpreis ist für die Festlegung der Einspeiseprämie für Erzeugungsanlagen mit Einspeisevergütung massgebend. Der Referenz-Marktpreis für __Photovoltaikanlagen__ entspricht dem Durchschnitt der Preise, die an der Strombörse (Swissix) in einem Vierteljahr jeweils für den Folgetag (day-ahead) festgesetzt werden, gewichtet nach der tatsächlichen viertelstündlichen Einspeisung der lastganggemessenen Anlagen. Bei den __übrigen Technologien__ entspricht der Referenz-Marktpreis dem Durchschnitt der Preise, die für lastganggemessene Anlagen in einem Monat und für nicht lastganggemessene Anlagen in einem Vierteljahr an der Strombörse für den Folgetag für das Marktgebiet Schweiz festgesetzt werden.

Die Preise verstehen sich exklusive Mehrwertsteuer.

commercialisation-directe

display_name: commercialisation-directe

direktvermarktung

display_name: direktvermarktung

einspeiseverguetung

display_name: einspeiseverguetung

kev

display_name: kev

prix-de-reference

display_name: prix-de-reference

referenz-marktpreis

display_name: referenz-marktpreis

retribution-de-l-injection

display_name: retribution-de-l-injection

rpc

display_name: rpc

energy

fr: Energie

en: Energy

politics

fr: Politique

de: Politik

en: Politics

it: Politica

prices

fr: Prix

de: Preise

en: Prices

it: Prezzi

bundesamt-fur-energie-bfe

en: Swiss Federal Office of Energy SFOE

it: Ufficio federale dell'energia UFE

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).

political_level: confederation

key: uri


grundbuchkreise-generalisiert

territory

de: Raum und Umwelt

title_for_slug: grundbuchkreise-generalisiert

fr: registre-foncier commune bordure

de: grundbuch gemeinde grenze

spatial: Kanton Bern

fr: Lien vers le téléchargement de données (Zip)

de: Link zum Daten-Download (Zip)

format: ZIP

fr: Les arrondissements du registre foncier généralisés contiennent les limites des communes et des arrondissements du registre foncier du canton de Berne. Les limites sont généralisées à partir des données originales 'Arrondissements du registre foncier'.

de: Die generalisierten Grundbuchkreise enthalten die Gemeinde- und Grundbuchkreisgrenzen des Kantons Bern. Die Grenzen wurden auf der Grundlage des Originaldatensatzes 'Grundbuchkreise' generalisiert.

fr: Office de l'information géographique du canton de Berne

de: Amt für Geoinformation des Kantons Bern

fr: L'Office de la géoinformation est le centre de compétence pour l'information spatiale dans le canton de Berne. Les géodonnées cantonales peuvent être utilisées gratuitement, sous réserve des conditions d'utilisation. Le Géoportail du canton de Berne est le point d'entrée central pour les cartes interactives, les géodonnées et les géoservices de l'administration cantonale.

de: Das Amt für Geoinformation ist das Kompetenzzentrum für räumliche Informationen im Kanton Bern. Die kantonalen Geodaten sind unter Einhaltung der Nutzungsbedingungen kostenlos nutzbar. Das Geoportal des Kantons Bern ist der zentrale Einstiegspunkt für interaktive Karten, Geodaten und Geodienste der kantonalen Verwaltung.

value: Bern-Kt - Geocat Harvester

fr: Arrondissements du registre foncier généralisés

de: Grundbuchkreise generalisiert


geography

fr: Géographie

de: Geographie

territory

fr: Territoire et environnement

label: geo.admin.ch: das Geoportal des Bundes

spatial: Landeskarte 1:50'000

fr: Map (Preview) Aperçu map.geo.admin.ch

de: Map (Preview) Vorschau map.geo.admin.ch

en: Map (Preview)  map.geo.admin.ch

it: Map (Preview) Previsione map.geo.admin.ch

fr: Aperçu map.geo.admin.ch

de: Vorschau map.geo.admin.ch

en: Preview map.geo.admin.ch

it: Previsione map.geo.admin.ch

fr: Information du produit Swiss Map Raster 50

de: Produktinformation Swiss Map Raster 50

en: Product information Swiss Map Raster 50

it: Informazioni sul prodotto Swiss Map Raster 50

format: HTML

de: DE#

format: WMS

fr: La carte nationale au 1:50’000 est la carte topographique suisse avec une représentation détaillée des voies de communications, des surfaces bâties, de l’hydrographie, du terrain et de la végétation. Le périmètre total est divisé en 78 feuilles. Il existe également des assemblages pour certaines régions d’intérêt géographique ou touristique. La carte nationale au 1:50’000 est disponible sous forme analogique (carte papier) et digitale (Swiss Map Raster). La mise à jour s’effectue par secteur. Les différents états de mise à jour sont indiqués dans la couche "Découpage carte nationale 50 Raster".

de: Die Landeskarte 1:50'000 ist eine topografische Karte der Schweiz mit detaillierter Verkehrs-, Siedlungs-, Gelände- Gewässer- und Vegetationsdarstellung. Der Kartenperimeter ist in 78 Einzelblätter aufgeteilt. Von ausgewählten Regionen existieren Zusammensetzungen. Die Landeskarte 1:50'000 ist in analoger (Papierkarte) und in digitaler Form (Swiss Map Raster) verfügbar. Die Nachführung erfolgt sektorenweise. Die verschiedenen Nachführungsstände zeigt der Layer "Einteilung Landeskarte 50 Raster".

en: The National Map 1:50,000 is a topographic map of Switzerland representing the areas of traffic and settlements, the topography and the vegetation in detail. The map perimeter is divided into 78 individual sheets. There are composites of specified regions. The National Map 1:50,000 is published in analogue format as a printed map and in digital format as the Swiss Map Raster. The update is done by sector. The different statuses of updates are shown in the layer "Division national map 50 Raster".

it: La Carta nazionale 1:50'000 è una carta topografica della Svizzera con una rappresentazione dettagliata delle vie di comunicazione, degli insediamenti, dei corsi d'acqua, della vegetazione e del terreno. Il perimetro della carta è suddiviso in 78 fogli singoli. Esistono composizioni di alcune regioni. La Carta nazionale 1:50'000 è disponibile in formato analogico (cartaceo) e digitale (Swiss Map Raster). La carta è aggiornata per settori. I diversi stati di aggiornamento sono mostrati nel layer "Divisione carta nazionale 50 Raster".

name: Bundesamt für Landestopografie swisstopo

fr: Office fédéral de topographie 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).

value: Swisstopo - Geocat Harvester

fr: Carte nationale 1:50'000

de: Landeskarte 1:50'000

en: National Map 1:50'000

it: Carta nazionale 1:50'000


kennzahlen-neuwagenflotte

title_for_slug: Kennzahlen Neuwagenflotte PW

fr: Statistiques des voitures neuves

de: Kennzahlen Neuwagenflotte PW

en: Key figures for new passenger cars

it: Indicatori parco automobili nuove

label: Storymap

fr: Prix moyen d’un véhicule

de: Durchschnittliche Fahrzeugpreise

en: Average vehicle prices

it: Prezzi medi dei veicoli

fr: Le jeu de données indique le prix moyen d’une voiture de tourisme immatriculée pour la première fois, par an et par canton. Les données sont disponibles depuis 2017. La numérotation des cantons est celle de l’OFS.

en: This data set shows the average vehicle prices for newly registered passenger cars per year and per canton. The data series is available from 2017. Numbering of cantons according to FSO.

de: Der Datensatz zeigt die durchschnittlichen Fahrzeugpreise bei den neuzugelassenen Personenwagen pro Jahr und Kanton. Die Datenreihe ist ab 2017 verfügbar. Nummerierung der Kantone gemäss BFS.

it: Il set di dati di dati mostra i prezzi medi delle automobili di nuova immatricolazione per anno e per Cantone. La serie di dati è disponibile dal 2017. Numerazione dei Cantoni secondo UST.

fr: Émissions moyennes de CO2

de: Durchschnittliche CO2-Emissionen

en: Average CO2 emissions

it: Emissioni medie di CO2

fr: Le jeu de données indique les émissions moyennes de CO2 des voitures de tourisme immatriculées pour la première fois, par an et par canton. Les données sont disponibles depuis 2014. La numérotation des cantons est celle de l’OFS.

en: This data set shows the average CO2 emissions of newly registered passenger cars per year and per canton. The data series is available from 2014. Numbering of cantons according to FSO.

de: Der Datensatz zeigt die durchschnittlichen CO2-Emissionen bei den neuzugelassenen Personenwagen pro Jahr und Kanton. Die Datenreihe ist ab 2014 verfügbar. Nummerierung der Kantone gemäss BFS.

it: Il set di dati di dati mostra le emissioni medie di CO2 delle automobili di nuova immatricolazione per anno e per Cantone. La serie di dati è disponibile dal 2014. Numerazione dei Cantoni secondo UST.

fr: Nombre de voitures de tourisme neuves

de: Anzahl neuer Personenwagen

en: Number of new passenger cars

it: Numero di automobili nuove

fr: Le jeu de données indique les nouvelles immatriculations de voitures de tourisme en chiffres absolus, par an et par canton. Les données sont disponibles depuis 2014. La numérotation des cantons est celle de l’OFS.

en: This data set shows the absolute number of new passenger car registrations per year and per canton. The data series is available from 2014. Numbering of cantons according to FSO.

de: Der Datensatz zeigt die absolute Anzahl von Neuzulassungen bei den Personenwagen pro Jahr und Kanton. Die Datenreihe ist ab 2014 verfügbar. Nummerierung der Kantone gemäss BFS.

it: Il set di dati mostra il numero assoluto di automobili di nuova immatricolazione per anno e per Cantone. La serie di dati è disponibile dal 2014. Numerazione dei Cantoni secondo UST.

fr: Poids à vide moyen

de: Durchschnittliches Leergewicht

en: Average unladen weight

it: Peso a vuoto medio

fr: Le jeu de données indique le poids à vide moyen des voitures de tourisme immatriculées pour la première fois, par an et par canton. Les données sont disponibles depuis 2014. La numérotation des cantons est celle de l’OFS.

en: This data set shows the average unladen weight for newly registered passenger cars per year and per canton. The data series is available from 2014. Numbering of cantons according to FSO.

de: Der Datensatz zeigt das durchschnittliche Leergewicht bei den neuzugelassenen Personenwagen pro Jahr und Kanton. Die Datenreihe ist ab 2014 verfügbar. Nummerierung der Kantone gemäss BFS.

it: Il set di dati mostra il peso a vuoto medio delle automobili di nuova immatricolazione per anno e per Cantone. La serie di dati è disponibile dal 2014. Numerazione dei Cantoni secondo UST.

fr: Consommation moyenne de carburant

de: Durchschnittlicher Treibstoffverbrauch

en: Average fuel consumption

it: Consumo medio di carburante

fr: Le jeu de données indique la consommation moyenne de carburant des voitures de tourisme immatriculées pour la première fois, par an et par canton. Les données sont disponibles depuis 2014. La numérotation des cantons est celle de l’OFS.

en: This data set shows the average fuel consumption for newly registered passenger cars per year and per canton. The data series is available from 2014. Numbering of cantons according to FSO.

de: Der Datensatz zeigt den durchschnittlichen Treibstoffverbrauch bei den neuzugelassenen Personenwagen pro Jahr und Kanton. Die Datenreihe ist ab 2014 verfügbar. Nummerierung der Kantone gemäss BFS.

it: Il set di dati mostra il consumo medio di carburante delle automobili di nuova immatricolazione per anno e per Cantone. La serie di dati è disponibile dal 2014. Numerazione dei Cantoni secondo UST.

fr: Proportion de véhicules 4x4

de: Anteil Allradfahrzeuge

en: Share of all-wheel drive vehicles

it: Percentuale di veicoli a trazione integrale

fr: Le jeu de données indique la proportion de véhicules 4x4 dans les nouvelles immatriculations de voitures de tourisme, par an et par canton. Les données sont disponibles depuis 2014. La numérotation des cantons est celle de l’OFS.

en: This data set shows the share of all-wheel drive vehicles among newly registered passenger cars per year and per canton. The data series is available from 2014. Numbering of cantons according to FSO.

de: Der Datensatz zeigt den Anteil von Allradfahrzeugen bei den neuzugelassenen Personenwagen pro Jahr und Kanton. Die Datenreihe ist ab 2014 verfügbar. Nummerierung der Kantone gemäss BFS.

it: Il set di dati mostra la percentuale di automobili a trazione integrale di nuova immatricolazione per anno e per Cantone. La serie di dati è disponibile dal 2014. Numerazione dei Cantoni secondo UST.

fr: Part de véhicules électriques

de: Anteil Elektrofahrzeuge

en: Share of electric vehicles

it: Percentuale di veicoli elettrici

fr: Le jeu de données indique la part de véhicules électriques dans les nouvelles immatriculations de voitures de tourisme, par an et par canton. Les données sont disponibles depuis 2014. La numérotation des cantons est celle de l’OFS.

en: This data set shows the share of electric vehicles among newly registered passenger cars per year and per canton. The data series is available from 2014. Numbering of cantons according to FSO.

de: Der Datensatz zeigt den Anteil Elektrofahrzeuge bei den neuzugelassenen Personenwagen pro Jahr und Kanton. Die Datenreihe ist ab 2014 verfügbar. Nummerierung der Kantone gemäss BFS.

it: Il set di dati mostra la percentuale di automobili elettriche di nuova immatricolazione per anno e per Cantone. La serie di dati è disponibile dal 2014. Numerazione dei Cantoni secondo UST.

fr:
Depuis 2014, les principales statistiques sur la flotte de voitures de tourisme neuves sont évaluées par année et par canton. Les statistiques portent sur le nombre d’immatriculations, la proportion de véhicules 4x4, la part de véhicules électriques, la consommation moyenne de carburant, le poids à vide moyen, les émissions moyennes de CO2 et, depuis 2017, le prix moyen d’un véhicule.

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

en:
Since the 2014 reporting year, key figures for new passenger car registrations have been evaluated by year and by canton. For each canton, key figures such as the number of registrations, share of all-wheel drive vehicles, share of electric vehicles, average fuel consumption, average unladen weight, average CO2 emissions and also, from 2017, average vehicle prices are shown.

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

de:
Seit dem Berichtsjahr 2014 werden wichtige Kennzahlen zur Neuwagenflotte der Personenwagen (PW) des jeweiligen Jahres nach Kanton ausgewertet. Pro Kanton sind Kenngrössen wie die Anzahl Zulassungen, Anteil Allradfahrzeuge, Anteil Elektrofahrzeuge, durchschnittlicher Treibstoffverbrauch, durchschnittliches Leergewicht, durchschnittlicher CO2-Ausstoss und ab 2017 auch die durchschnittlichen Fahrzeugpreise ausgewiesen.

Rechtsgrundlage: Energieeffizienzverordnung (EnEV) Art. 11

it:
A partire dall'anno di riferimento 2014, per ciascun Cantone vengono analizzati i principali indicatori relativi al parco automobili nuove dell'anno in questione. Per ciascun Cantone sono indicati dati chiave come il numero di immatricolazioni, la percentuale di veicoli a trazione integrale, la percentuale di veicoli elettrici, il consumo medio di carburante, il peso a vuoto medio, le emissioni medie di CO2 e, dal 2017, anche i prezzi medi dei veicoli.

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

bundesamt-fur-energie-bfe

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).


geography

fr: Géographie

de: Geographie

en: Geography

it: Geografia

territory

fr: Territoire et environnement

de: Raum und Umwelt

en: Territory and environment

it: Territorio e ambiente

fr: tourbiere tourbiere

de: moor nahrstoff

spatial: Kanton Bern (erweitert)

fr: Lien vers le téléchargement de données (Zip)

de: Link zum Daten-Download (Zip)

fr: Les zones tampon sont des surfaces attenantes au biotope, destinées à protéger ce dernier des apports en éléments nutritifs provenant des cultures intensives avoisinantes.

de: Pufferzonen sind an das Biotop angrenzende Flächen. Ziel ist es, das Biotop vor Nährstoffeinträgen aus dem angrenzenden Intensivkulturland zu schützen.

fr: Office de l'information géographique du canton de Berne

de: Amt für Geoinformation des Kantons Bern

fr: L'Office de la géoinformation est le centre de compétence pour l'information spatiale dans le canton de Berne. Les géodonnées cantonales peuvent être utilisées gratuitement, sous réserve des conditions d'utilisation. Le Géoportail du canton de Berne est le point d'entrée central pour les cartes interactives, les géodonnées et les géoservices de l'administration cantonale.

de: Das Amt für Geoinformation ist das Kompetenzzentrum für räumliche Informationen im Kanton Bern. Die kantonalen Geodaten sind unter Einhaltung der Nutzungsbedingungen kostenlos nutzbar. Das Geoportal des Kantons Bern ist der zentrale Einstiegspunkt für interaktive Karten, Geodaten und Geodienste der kantonalen Verwaltung.

fr: Zones-tampons trophiques pour les inventaires naturels nationaux et cantonaux

de: Nährstoffpufferzonen zu nationalen und kantonalen Naturinventaren


spatial: Landeskarte 1:25'000

fr: Map (Preview) Aperçu map.geo.admin.ch

de: Map (Preview) Vorschau map.geo.admin.ch

en: Map (Preview)  map.geo.admin.ch

it: Map (Preview) Previsione map.geo.admin.ch

fr: Aperçu map.geo.admin.ch

de: Vorschau map.geo.admin.ch

en: Preview map.geo.admin.ch

it: Previsione map.geo.admin.ch

fr: Information du produit Swiss Map Raster 1:25'000

de: Produktinformation & Download Swiss Map Raster 1:25'000

fr: La carte nationale au 1:25’000 est la carte topographique suisse avec une représentation très détaillée des voies de communications, des surfaces bâties, de l’hydrographie, du terrain et de la végétation. Le périmètre total est divisé en 247 feuilles. La carte nationale au 1:25’000 est disponible sous forme analogique (carte papier) et numérique (Swiss Map Raster). La mise à jour s’effectue par secteur. Les différents états de mise à jour sont indiqués dans la couche "Découpage carte nationale 25 Raster"

de: Die Landeskarte 1:25'000 ist eine topografische Karte der Schweiz mit sehr detaillierter Verkehrs-, Siedlungs-, Gelände- und Vegetationsdarstellung. Der Kartenperimeter ist in 247 Einzelblätter aufgeteilt. Die Landeskarte 1:25'000 ist in analoger (Papierkarte) und in digitaler Form (Swiss Map Raster, Swiss Map Vector) verfügbar. Die Nachführung erfolgt sektorenweise. Die verschiedenen Nachführungsstände zeigt der Layer "Einteilung Landeskarte 25 Raster".

en: The National Map 1:25,000 is a topographic map of Switzerland representing the areas of traffic and settlements, the topography and the vegetation in great detail. The map perimeter is divided into 247 individual sheets. The National Map 1:25,000 is published in analogue format as a printed map and in digital format as the Swiss Map Raster. The update is done by sector. The different statuses of updates are shown in the layer "Division national map 25 Raster"

it: La Carta nazionale 1:25'000 è una carta topografica della Svizzera con una rappresentazione estremamente dettagliata delle vie di comunicazione, degli insediamenti, dei corsi d'acqua, della vegetazione e del terreno. Il perimetro della carta è suddiviso in 247 fogli singoli. La Carta nazionale 1:25'000 è disponibile in formato analogico (cartaceo) e digitale (Swiss Map Raster, Swiss Map Vector). La carta è aggiornata per settori. I diversi stati di aggiornamento sono mostrati nel layer "Divisione carta nazionale 25 Raster"

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).

fr: Carte nationale 1:25'000

de: Landeskarte 1:25'000

en: National Map 1:25'000

it: Carta nazionale 1:25'000


planeinteilung-nomenklatur

title_for_slug: planeinteilung-nomenklatur

de: ortsbestimmung nomenklatur geographie

fr: Le géoproduit « Répartition des plans de nomenclature » montre le partage des plans par commune. Il s'agit de la nomenclature définitive qui a été relevée dans le cadre de la mensuration officielle.

de: Das Geoprodukt 'Planeinteilung Nomenklatur' zeigt die Einteilung der Pläne pro Gemeinde. Es handelt sich um die definitive, im Rahmen der amtlichen Vermessung erhobene, Nomenklatur.

fr: Répartition des plans de nomenclature

de: Planeinteilung Nomenklatur


title_for_slug: Solarenergiepotenziale der Schweizer Gemeinden

de: energie energiewirtschaft photovoltaik solar solarenergie solarthermie sonne sonnendach ogd52-bfe

fr: Potentiel d'énergie solaire des communes suisses

en: Solar energy potential of Swiss municipalities

it: Potenziale di energia solare dei comuni svizzeri

format: JSON

format: XLS

fr:
L’application interactive www.toitsolaire.ch fournit des informations sur l’aptitude des toitures des bâtiments à exploiter l’énergie solaire. Il renseigne de manière simple sur les quantités d’électricité et de chaleur qui pourraient être produites sur le toit d’un bâtiment.
Sur la base du potentiel solaire des toits des différents bâtiments, l’OFEN calcule le potentiel global des communes pour la production d’électricité et de chaleur. Deux scénarios ont été imaginés: dans le premier, tous les toits sont exploités uniquement pour produire de l’électricité; dans le second, seules les parties les plus appropriées des toitures sont utilisés pour la production de chaleur et le reste est utilisé pour produire de l’électricité.

en:
Die interaktive Anwendung www.sonnendach.ch informiert über die Eignung von Hausdächern für die Solarenergienutzung. Auf einfache Weise wird vermittelt, wieviel Solarstrom oder Solarwärme mit einem Hausdach produziert werden könnte.
Für die Gemeinden berechnet das Bundesamt für Energie BFE auf der Grundlage der Solarpotenziale der einzelnen Hausdächer, wie gross die Potenziale für Solarstrom und Solarwärme für das gesamte Gemeindegebiet sind. Zwei Szenarien werden berechnet: Im ersten Szenario werden alle Dächer nur für Solarstrom verwendet. Im zweiten Szenario wird pro Haus das beste Dachstück für Solarwärme und der Rest für Solarstrom verwendet.

it:
L'applicazione interattiva www.tettosolare.ch informa circa l’adeguatezza dei tetti delle case per lo sfruttamento
dell'energia solare fornendo, in modo semplice, dati sulla quantità di energia elettrica o termica
che un determinato tetto potrebbe produrre.
L'Ufficio federale dell'energia (UFE), basandosi sul potenziale solare dei singoli tetti di un Comune,
calcola l'entità del potenziale di produzione di energia elettrica e termica del territorio comunale. Vengono
calcolati due possibili scenari: nel primo scenario tutti i tetti vengono utilizzati per la sola produzione
di energia elettrica, mentre nel secondo la superficie migliore di tetto di ogni casa viene utilizzata
per la produzione di energia termica e le restanti superfici esclusivamente per la produzione di energia elettrica.

energie

display_name: energie

energiewirtschaft

display_name: energiewirtschaft

photovoltaik

display_name: photovoltaik

solar

display_name: solar

solarenergie

display_name: solarenergie

solarthermie

display_name: solarthermie

sonne

display_name: sonne

sonnendach

display_name: sonnendach

administration

fr: Administration

de: Verwaltung

en: Administration

it: Amministrazione

statistical-basis

fr: Bases statistiques

de: Statistische Grundlagen

en: Statistical basis

it: Basi statistiche

construction

fr: Construction, logement

de: Bau- und Wohnungswesen

en: Construction and housing

it: Costruzione e abitazione

culture

fr: Culture, médias, société de l'information, sport

de: Kultur, Medien, Informationsgesellschaft, Sport

en: Culture, media, information society, sport

it: Cultura, media, società dell'informazione, sport

national-economy

fr: Economie nationale

de: Volkswirtschaft

en: National economy

it: Economia

energy

fr: Energie

de: Energie

en: Energy

it: Energia

geography

fr: Géographie

de: Geographie

politics

fr: Politique

de: Politik

en: Politics

it: Politica

bundesamt-fur-energie-bfe

fr: Office fédéral de l'énergie OFEN

de: Bundesamt für Energie BFE

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).


fr: habitation sport valeur-sociale zone-touristique evaluation-monetaire eau-courante commercial commune eaux-geographie evaluation tourisme temps-libre navigation-de-plaisance

de: wohnung sport sozialer-wert touristengebiet monetare-bewertung fliessgewasser gewerbe gemeinde gewasser bewertung fremdenverkehr freizeit bootsfahrt

fr: Service d'image

de: Darstellungsdienst

fr: Le service représente les données de base du canton de Berne selon la géocatégorie M conforme à eCH-0166. Il comprend les catégories des valeurs locatives, les communes à vocation touristique, les destinations du tourisme, les lieux à vocation touristique, le plan des notes d'accessibilité, les restrictions des activités sportives dans les eaux bernoises ainsi que les valeurs de base des terrains.

de: Der Dienst stellt Geobasisdatensätze des Kantons Bern der Geokategorie M gemäss eCH-0166 dar. Er enthält die Datensätze Einschränkungen für sportliche Aktivitäten auf bernischen Gewässern, Fremdenverkehrsgemeinden, Landrichtwerte, Mietwertkategorien, Tourismusdestinationen, Tourismusorte und Verkehrslagenotenpläne.

fr: Office de l'information géographique du canton de Berne

de: Amt für Geoinformation des Kantons Bern

fr: L'Office de la géoinformation est le centre de compétence pour l'information spatiale dans le canton de Berne. Les géodonnées cantonales peuvent être utilisées gratuitement, sous réserve des conditions d'utilisation. Le Géoportail du canton de Berne est le point d'entrée central pour les cartes interactives, les géodonnées et les géoservices de l'administration cantonale.

de: Das Amt für Geoinformation ist das Kompetenzzentrum für räumliche Informationen im Kanton Bern. Die kantonalen Geodaten sind unter Einhaltung der Nutzungsbedingungen kostenlos nutzbar. Das Geoportal des Kantons Bern ist der zentrale Einstiegspunkt für interaktive Karten, Geodaten und Geodienste der kantonalen Verwaltung.

fr: Activités économiques du canton de Berne

de: Wirtschaftliche Aktivitäten des Kantons Bern


grundbuchkreise

geography

en: Geography

it: Geografia

territory

fr: Territoire et environnement

de: Raum und Umwelt

en: Territory and environment

it: Territorio e ambiente

title_for_slug: grundbuchkreise

de: grundbuch verwaltungsgrenze grenze

fr: Lien vers le téléchargement de données (Zip)

de: Link zum Daten-Download (Zip)

fr: Les arrondissements du registre foncier contiennent les limites des communes et des arrondissements communaux, basé sur le plan densemble au 1:5000.

de: Die Grundbuchkreise enthalten die Gemeinde- und Grundbuchkreisgrenzen des Kantons Bern, basierend auf dem Übersichtsplan 1:5000.

fr: Arrondissements du registre foncier

de: Grundbuchkreise


name: Fachstelle Open Government Data des Kantons Zürich

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

label: Datenkatalog

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).

mimetype: application/json

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

national-economy

de: Volkswirtschaft

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.

key: guid

value: ZH-Kt Fachstelle OGD - DCAT Harvester

de: Web Service des Metadatenkatalogs des Kantons Zürich


geography

de: Geographie

fr: protection-de-la-nature document sauvegarde-de-lenvironnement reserve programme-de-conservation-des-especes protection-de-la-foret protection-des-especes arbre bois reserve-forestiere

de: naturschutz dokument umweltschutz reservat artenschutzprogramm waldschutz artenschutz baum wald waldschutzgebiet

fr: Le canton de Berne prend des mesures afin de promouvoir la biodiversité en forêt. En collaboration avec les proriétaires forestiers, il revalorise les lisières forestières, favorise des espèces ou habitats prioritaires et définit des réserves forestières ainsi que des îlots de vieux bois ou de bois mort. Le thème du cadastre RDPPF suivant se trouve dans le géoproduit WALDBIO : Réserves forestières (OGéo ID 160)

de: Der Kanton Bern fördert mit Massnahmen die Biodiversität im Wald. Gemeinsam mit den Waldeigentümerinnen und Waldeigentümern wertet er Waldränder auf, fördert prioritäre Arten oder Lebensräume und bezeichnet Waldreservate sowie Alt- und Totholzinseln. Folgendes ÖREB-Katasterthema ist in diesem Geoprodukt WALDBIO enthalten: Waldreservate (GeoIV ID 160)

name: Amt für Wald und Naturgefahren - Fachdienste und Ressourcen

fr: Promotion de la biodiversité en forêt (y compris réserves forestières)

de: Biodiversitätsförderung im Wald (inkl. Waldreservate)


maintainer: Fachstelle Open Government Data des Kantons Zürich

de: ZH Datasets Visits - 2019 Februar

media_type: text/csv

mimetype: text/csv

de: ZH Datasets Visits - 2018 Dezember

de: ZH Datasets Visits - 2021 Februar

de: Ausgenommen sind die Datensätze, die von der Geoinformation des Kanton Zürich auf opendata.swiss verwaltet werden.

de: ZH Datasets Visits - 2020 Juli

de: Ausgenommen sind die Datensätze, die von der Geoinformation des Kantons Zürich auf opendata.swiss verwaltet werden.

de: ZH Datasets Visits - 2018 November

de: ZH Datasets Visits - 2020 Dezember

de: ZH Datasets Visits - 2019 November

de: ZH Datasets Visits - 2018 März

de: ZH Datasets Visits - 2019 April

de: ZH Datasets Visits - 2019 März

de: ZH Datasets Visits - 2019 Dezember

de: ZH Datasets Visits - 2020 Mai

de: ZH Datasets Visits - 2019 Januar

de: ZH Datasets Visits - 2018 Juli

de: Monatliche Nutzungsstatistiken (Anzahl Besuche) der Open Government Data (OGD) Metadatensätze von Verwaltungseinheiten und Organen des Kantons Zürich, die auf dem zentralen Katalog für offene Behördendaten opendata.swiss findbar sind. Hinweise: Ab Januar 2019 sind die Web Analytics um weitere Metadateninformationen erweitert bzw. wurden Metadatenanpassungen vorgenommen. Ab März 2021 sind die monatlichen Aktualisierungen aufgrund technischer Herausforderungen pausiert. Variabelndefinitionen: Column 'name' = dataset slug; 'issued' = first publication of dataset; 'organization_name' = publisher slug; 'organization_url' = publisher URL; 'E' up to 'AB' = thematic categories according to DCAT AP Switzerland.

de: Web Analytics der Open Government Data des Kantons Zürich auf opendata.swiss von Februar 2018 bis Februar 2021


landrichtwerte

national-economy

fr: Economie nationale

de: Volkswirtschaft

fr: Géographie

de: Geographie

work

fr: Travail, rémunération

de: Arbeit, Erwerb

en: Work and income

it: Lavoro e reddito

title_for_slug: landrichtwerte

de: Link zum Daten-Download (Zip)

fr: Les données contients les valeurs de base des terrains du canton de Berne, recensées par commune et territoire communal. Les valeurs de base des terrains servent à calculer les valeurs officielles (impôt sur la fortune) des terrains non bâtis situés dans une zone à bâtir. Elles ont été calculées à partir des statistiques des transferts de propriété effectivement intervenus durant la période d'évaluation. On ne peut pas déduire le prix effectif des terrains d'une commune directement à partir de la valeur de base du terrain.

de: Die Daten beinhalten die Landrichtwerte des Kantons Bern pro Gemeinde resp. Gemeindekreise. Die Landrichtwerte sind rechnerischer Ausgangspunkt zur Festlegung von amtlichen Werten (Vermögenssteuer) von unüberbautem Land in der Bauzone. Sie sind das Ergebnis statistischer Auswertungen entsprechender Handänderungspreise in der Bemessungsperiode. Direkte Schlüsse aus dem Landrichtwert auf die eigentlichen Landpreise in der Gemeinde sind nicht möglich.

name: Steuerverwaltung - Abteilung Amtliche Bewertung

de: Amt für Geoinformation des Kantons Bern

de: Das Amt für Geoinformation ist das Kompetenzzentrum für räumliche Informationen im Kanton Bern. Die kantonalen Geodaten sind unter Einhaltung der Nutzungsbedingungen kostenlos nutzbar. Das Geoportal des Kantons Bern ist der zentrale Einstiegspunkt für interaktive Karten, Geodaten und Geodienste der kantonalen Verwaltung.

fr: Valeurs de base des terrains

de: Landrichtwerte


fr: sauvegarde-de-lenvironnement affaissement-du-sol type-de-sol eboulement decharge zone-a-risque relief prevention-des-incendies-de-foret traceur gaz-naturel risque-naturel eau-substance radon roche ecoulement-des-crues avalanche atmosphere-du-sol protection-contre-les-crues sol service-dincendie incendie-de-foret decomposition tassement transport sciences-naturelles degat-des-eaux geologie inondation structure-regionale protection-de-la-foret processus-geomorphologique cadastre index geomorphologie prevention-des-avalanches bois protection-de-la-montagne crue danger eaux-souterraines mesure-de-protection avalanche gestion-forestiere erosion

de: umweltschutz bodensenkung bodenart erdrutsch deponie gefahrenzone relief waldbrandverhutung tracer erdgas naturgefahr wasser radon fels hochwasserabfluss lawine bodenluft hochwasserschutz boden feuerwehr waldbrand abbau bodensetzung transport naturwissenschaft wasserschaden geologie uberschwemmung raumstruktur waldschutz geomorphologischer-prozess kataster index geomorphologie lawinenschutz wald bergschutz hochwasser gefahren grundwasser schutzmassnahme schneerutsch forstwirtschaft erosion

fr: Service d'image

de: Darstellungsdienst

fr: Le service représente les données de base du canton de Berne selon la géocatégorie F conforme à eCH-0166. Il comprend actuellement le cadastre des événements liés aux dangers naturels, la carte des gisements de matières premières EDT, la carte indicative des forêts protectrices, la carte du toit du rocher, les cartes et les indices des dangers naturels, les concentrations de radon à l'intérieur des bâtiments, les constructions paravalanches, les données relatives à des points au sol, les géotopes d'importance régionale, l'indication de sols anthropiques, les lignes de connexion du traceur, les sites définis pour les panneaux d'interdiction de faire du feu, les sondages géologiques ainsi que la typologie des ensembles naturels.

de: Der Dienst stellt Geobasisdatensätze des Kantons Bern der Geokategorie F gemäss eCH-0166 dar. Er enthält aktuell die Bodenpunktdaten, die Felsreliefkarte, Feuerverbotsschilder-Standorte (Waldbrandmanagement), die geologische Rohstoffkarte ADT, die geologischen Sondierungen, die Geotope von regionaler Bedeutung, die Hinweise auf anthropogene Böden, die Lawinenverbauungen, den Naturgefahren-Hinweiskataster, die Naturgefahrenkarten und -hinweise, die Naturraumgliederung, die Radonkonzentrationen in Innenräumen, die Schutzwaldhinweiskarte sowie die Tracer-Verbindungslinien.

fr: Géologie, sols et dangers naturels du canton de Berne

de: Geologie, Böden und naturbedingte Risiken des Kantons Bern


maintainer: Andrin Caviezel

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

en: Induced Rockfall Data, Tschamut, GR

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

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

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

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

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

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

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

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

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

Further information is found in

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

dem

display_name: dem

deposition-points

display_name: deposition-points

induced-rockfall

display_name: induced-rockfall

natural-hazards

display_name: natural-hazards

rockfall

display_name: rockfall

rockfall-experiments

display_name: rockfall-experiments

rockfall-runout

display_name: rockfall-runout

sensor-stream

display_name: sensor-stream

stonenode

display_name: stonenode

stonenodedata

display_name: stonenodedata

education

fr: Education, science

de: Bildung, Wissenschaft

en: Education and science

it: Formazione e scienza

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.

political_level: other

value: Envidat Harvester

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


maintainer: Albrecht von Boetticher

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

media_type: application/zip

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

mimetype: application/zip

en: Installation Instructions for debrisInterMixing-6

media_type: application/pdf

en: These are the installation instructions for debrisInterMixing4

format: PDF

mimetype: application/pdf

en: debrisInterMixing for OF-Version 6

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

barrier-impact-simulation

display_name: barrier-impact-simulation

dberisintermixing

display_name: dberisintermixing

debris-flow

display_name: debris-flow

finite-volumes

display_name: finite-volumes

hangmuren

display_name: hangmuren

interfoam

display_name: interfoam

murgang

display_name: murgang

natural-hazard

display_name: natural-hazard

shallow-landslide

display_name: shallow-landslide

en: Three-dimensional debris flow simulation tool debrisInterMixing


maintainer: Franziska Koch

en: gps snow-depth snow-cover liquid-water-content snow

en: Dataset with GPS-derived snow cover properties and validation data

en: This file includes the data as described in the Read-me file.

en: Read-me

en: The read-me file contains the description of the data provided.

en:
This data set includes GPS-derived snow water equivalent (SWE), snow depth (HS) and liquid water content (LWC) data for three entire snow-covered seasons (2015-2016, 2016-2017, 2017-2018) at the study plot Weissfluhjoch 2540 m a.s.l. (Davos, Switzerland). The procedure to derive these snow properties is described in Koch et al. (2019). The novel approach is based on a combination of GPS signal attenuation and time delay.

The dataset also includes corresponding validation data for SWE and HS measured at Weissfluhjoch, and some additional meteorological data used for interpretation of the snow cover evolution.

Please refer to the Read-me file for further details on the data.

These data are the basis of the following publication:
> Koch, F., Henkel, P., Appel, F., Schmid, L., Bach, H., Lamm, M., Prasch, M., Schweizer, J., and Mauser, W., 2019. Retrieval of snow water equivalent, liquid water content and snow height of dry and wet snow by combining GPS signal attenuation and time delay. Water Resources Research, 55(5), 4465-4487. https://doi.org/10.1029/2018WR024431

gps

display_name: gps

liquid-water-content

display_name: liquid-water-content

snow

display_name: snow

snow-cover

display_name: snow-cover

snow-depth

display_name: snow-depth

en: GPS-derived data of SWE, HS and LWC and corresponding validation data


maintainer: Leo Gallus Bont

en: forest geoprocessing qgis accessible-forest openstreetmap seilaplan

en: Power lines vector data (close to the area of the sample forest range)

en: Railways vector data (close to the sample forest range)

en: Digitised sample perimeter

en: Forest vector data (for sample forest range)

en: Preview

media_type: image/png

format: PNG

mimetype: image/png

en: Juypter Notebook for Data Preparation (online)

media_type: ipynb

en: DEM (for the area of the sample forest range)

media_type: image/tiff

format: TIFF

mimetype: image/tiff

en: Juypter Notebook for Data Preparation

en:
This dataset contains open vector data for railways, forests and power lines, as well an open digital elevation model (DEM) for a small area around a sample forest range in Europe (Germany, Upper Bavaria, Kochel Forest Range, some 70 km south of München, at the edge of Bavarian Alps).
The purpose of this dataset is to provide a documented sample dataset in order to demonstrate geospatial preprocessing at FOSS4G2019 based on open data and software. This sample has been produced based on several existing open data sources (detailed below), therefore documenting the sources for obtaining some data needed for computations related to forest accessibility and wood harvesting. For example, they can be used with the open methodology and QGIS plugin [Seilaplan]( https://doi.org/10.16904/envidat.software.1) for optimising the geometric layout cable roads or with additional open software for computing the forest accessibility for wood harvesting.
The vector data (railways, forests and power lines) was extracted from OpenStreetMap (data copyrighted OpenStreetMap contributors and available from https://www.openstreetmap.org). The railways and forests were downloaded and extracted on 18.05.2019 using the open sources QGIS (https://www.qgis.org) with the QuickOSM plugin, while the power lines were downloaded a couple of days later on 23.05.2019.

Additional notes for vector data:
Please note that OpenStreeMap data extracts such as forests, roads and railways (except power lines) can also be downloaded in a GIS friendly format (Shapefile) from http://download.geofabrik.de/ or using the QGIS built-in download function for OpenStreetMap data. The most efficient way to retrieve specific OSM tags (such as power=line) is to use the QuickOSM plugin for QGIS (using the Overpass API - https://wiki.openstreetmap.org/wiki/Overpass_API) or directly using overpass turbo (https://overpass-turbo.eu/). Finally, the digitised perimeter of the sample forest range is also made available for reproducibility purposes, although any perimeter or area can be digitised freely using the QGIS editing toolbar.

The DEM was originally adapted and modified also with QGIS (https://www.qgis.org) based on the elevation data available from two different sources, by reprojecting and downsampling datasets to 25m then selecting, for each individual raster cell, the elevation value that was closer to the average. These two different elevation sources are:

- Copernicus Land Monitoring Service - EU-DEM v.1.1 (TILE ID E40N20, downloaded from https://land.copernicus.eu/imagery-in-situ/eu-dem/eu-dem-v1.1; this original DEM was produced by the Copernicus Land Monitoring Service “with funding by the European Union” based on SRTM and ASTER GDEM)
- Digitales Geländemodell 50 m Gitterweite (https://opendata.bayern.de/detailansicht/datensatz/digitales-gelaendemodell-50-m-gitterweite/), produced by the Bayerische Vermessungsverwaltung – www.geodaten.bayern.de –and downloaded from http://www.geodaten.bayern.de/opendata/DGM50/dgm50_epsg4258.tif

This methodology was chosen as a way of performing a basic quality check, by comparing the EU-DEM v.1.1 derived from globally available DEM data (such as SRTM) with more authoritative data for the randomly selected region, since using authoritative data is preferred (if open and available). For other sample regions, where authoritative open data is not available, such comparisons cannot longer be performed.

Additional notes DEM: a very good DEM open data source for Germany is the open data set collected and resampled by Sonny (sonnyy7@gmail.com) and made available on the Austrian Open Data Portal http://data.opendataportal.at/dataset/dtm-germany. In order to simplify end-to-end reproducibility of the paper planned for FOSS4G2019, we use and distribute an adapted (reprojected and resampled to 25 meters) sample of the above mentioned dataset for the selected forest range.

This sample dataset is accompanied by software in Python, as a Jupiter Notebook that generates harmonized output rasters with the same extent from the input data. The extent is given by the polygon vector dataset (Perimeter). These output rasters, such as obstacles, aspect, slope, forest cover, can serve as input data for later computations related to forest accessibility and wood harvesting questions. The obstacles output is obtained by transforming line vector datasets (railway lines, high voltage power lines) to raster. Aspect and slope are both derived from the sample digital elevation model.

accessible-forest

display_name: accessible-forest

forest

display_name: forest

geoprocessing

display_name: geoprocessing

openstreetmap

display_name: openstreetmap

qgis

display_name: qgis

seilaplan

display_name: seilaplan

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal

en: Sample Geodata and Software for Demonstrating Geospatial Preprocessing for Forest Accessibility and Wood Harvesting at FOSS4G2019


weather-station-klosters

maintainer: Maxime Hervo

title_for_slug: weather-station-klosters

en: wind raclets weather temperature klosters precipitation

en: Weather Station Klosters

en: All in one weather station measuring temperature (°C), humidity (%), wind (m s‾ ¹) and precipitation type. The time format is: number of days from January 0, 0000, UTC.

en: A weather station (Lufft WS600) measured meteorological parameters at Klosters (LON: 9.880413, LAT: 46.869019). Detailed information on the specifications can be found [here](https://www.lufft.com/products/compact-weather-sensors-293/ws600-umb-smart-weather-sensor-1832/productAction/outputAsPdf/).

klosters

display_name: klosters

precipitation

display_name: precipitation

raclets

display_name: raclets

temperature

display_name: temperature

weather

display_name: weather

wind

display_name: wind

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.


maintainer: Matthias Haeni

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

en: Field station data (VSF)

en: Data file.

en: Site photo of the field station (VSF)

media_type: image/jpeg

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

mimetype: image/jpeg

en: Site photo of the forest station (VSB)

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

en: Site aerial photo (Visp)

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

en: Forest station data (VSB)

en: Data plot of the field station (VSF)

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

en: Data plot of the forest station (VSB)

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 Visp in Switzerland where one station is located within a natural mixed forest stand (VSB) with Scots pine (_Pinus sylvestris_; 40-80 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, VSF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Visp 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

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

wind-speed

display_name: wind-speed

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


global-cryosphere-watch-data-survey

maintainer: Mathias Bavay

title_for_slug: global-cryosphere-watch-data-survey

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

en: Third party data usage

en: Data interoperability survey

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

automatic-publication

display_name: automatic-publication

data-exchange

display_name: data-exchange

data-portal

display_name: data-portal

data-usage

display_name: data-usage

gcw

display_name: gcw

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal

en: Global Cryosphere Watch data survey


maintainer: James W. Kirchner

en: plynlimon deuterium tracer precipitation catchment streamflow chloride stable-water-isotopes

en: Data Set Documentation

en: This file contains a documentation of the data sets, including references to other helpful documentations.

en: 7-hourly stable water istopes

media_type: text/plain

en: Data set of 7-hourly stable water isotope data measured at Carreg Wen (precipitation) and Upper Hafren (streamflow).

format: TXT

mimetype: text/plain

en: Weekly stable water isotopes

en: Data set of weekly stable water isotope data collected at Carreg Wen (precipitation) and Lower Hafren and Tanllwyth (streamflow).

en: The data base contains timeseries of stable water isotopes in precipitation and streamflow at Plynlimon, Wales, UK. One data set contains weekly stable water isotope data from the Lower Hafren and Tanllwyth catchments, and the other data set contains 7-hourly stable water isotope data from Upper Hafren. Both data sets also include chloride concentrations in precipitation and streamflow.

catchment

display_name: catchment

chloride

display_name: chloride

deuterium

display_name: deuterium

plynlimon

display_name: plynlimon

precipitation

display_name: precipitation

stable-water-isotopes

display_name: stable-water-isotopes

streamflow

display_name: streamflow

tracer

display_name: tracer

envidat

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

en: Stable water isotopes in precipitation and streamflow at Plynlimon, Wales, UK


ceilometer-klosters

maintainer: EnviDat Support

title_for_slug: ceilometer-klosters

en: vertical-visibility raclets cloud-base-height ceilometer klosters

en: Ceilometer data Klosters

media_type: mat

en: Ceilometer installed at Klosters measuring cloud base height, cloud cover and backscatter profile. The time resolution is 30 seconds, with time given in number of days from January 0, 0000, UTC. More information on the variables in the manufacturer manual.

en: Cloud base height (m) and vertical visibility (m) were measured with the VAISALA Ceilometer CL31 in Klosters (LON: 9.880413, LAT: 46.869019). The CL31 is an instrument with constant reliability for all weather conditions and simultaneous detection of three cloud layers in heights up to 7.6 km.

ceilometer

display_name: ceilometer

cloud-base-height

display_name: cloud-base-height

klosters

display_name: klosters

raclets

display_name: raclets

vertical-visibility

display_name: vertical-visibility

en: Ceilometer Klosters


en: functional-taxonomic-groups liverwort lichen madeira-island lichen-growth-form photobiont climate-change-impact endemic-species bryophyte functional-taxonomic-group climate-change disturbance bryophyte-life-strategy moss endemic elevational-gradient lichen-growthform biodiversity

en: MadCrypto – Bryophyte and macrolichen diversity in laurel forests of Madeira

en:
This dataset includes species lists of bryophytes and macrolichens (presence/absence) sampled on the forest floor and on trees in disturbed and undisturbed plots along elevation gradients in the laurel forests of Madeira island. It also contains species specific information (bryophytes: red list status, endemic status, taxonomic group, life strategy; macrolichens: photobiont type, growth form) as well as plot information (Plot_ID, sampling date, coordinates, elevation a.s.l. (m), disturbance type, sampled host tree species).

The dataset was used for the paper
Boch S, Martins A, Ruas S, Fontinha S, Carvalho P, Reis F, Bergamini A, Sim-Sim M (2019) Bryophyte and macrolichen diversity show contrasting elevation relationships and are negatively affected by disturbances in laurel forests of Madeira island. Journal of Vegetation Science.

en:
This dataset includes species lists of bryophytes and macrolichens (presence/absence) sampled on the forest floor and on trees in disturbed and undisturbed plots along elevation gradients in the laurel forests of Madeira island. It also contains species specific information (bryophytes: red list status, endemic status, taxonomic group, life strategy; macrolichens: photobiont type, growth form) as well as plot information (Plot_ID, sampling date, coordinates, elevation a.s.l. (m), disturbance type, sampled host tree species).

The dataset was used for the paper
Boch S, Martins A, Ruas S, Fontinha S, Carvalho P, Reis F, Bergamini A, Sim-Sim M (2019) Bryophyte and macrolichen diversity show contrasting elevation relationships and are negatively affected by disturbances in laurel forests of Madeira island. Journal of Vegetation Science 30: 1122–1133.

The excel file contains 5 sheets:
1) Plot information
2) Bryophyte data with species specific information, separated per substrate
3) Macrolichen data with species specific information, separated per substrate
4) Bryophyte data with species specific information (plot level data). Species lists of the two substrates were merged; if one substrate in a plot hosted a species identified only to genus level (genus spec.) but the second investigated substrate hosted an identified species of the same genus, we removed the genus spec. entry in the particular plot. The species list of sheet 2 and 4 might therefore differ slightly.
5) Macrolichen data with species specific information (plot level data). Species lists of the two substrates were merged; if one substrate in a plot hosted a species identified only to genus level (genus spec.) but the second investigated substrate hosted an identified species of the same genus, we removed the genus spec. entry in the particular plot. The species list of sheet 3 and 5 might therefore differ slightly.

biodiversity

display_name: biodiversity

bryophyte

display_name: bryophyte

bryophyte-life-strategy

display_name: bryophyte-life-strategy

climate-change

display_name: climate-change

climate-change-impact

display_name: climate-change-impact

disturbance

display_name: disturbance

elevational-gradient

display_name: elevational-gradient

endemic

display_name: endemic

endemic-species

display_name: endemic-species

functional-taxonomic-group

display_name: functional-taxonomic-group

functional-taxonomic-groups

display_name: functional-taxonomic-groups

lichen

display_name: lichen

lichen-growth-form

display_name: lichen-growth-form

lichen-growthform

display_name: lichen-growthform

liverwort

display_name: liverwort

madeira-island

display_name: madeira-island

moss

display_name: moss

photobiont

display_name: photobiont

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal


root-traits

maintainer: Ivano Brunner

title_for_slug: root-traits

en: soil-coring fine-root-traits belowground-biomass ingrowth-cores drought

en: Root-traits

en:
Fine-root traits of Scots pine in response to enhanced soil water availability deriving from long-term irrigation in the Pfynwald

Data_Fig.1.xlsx
Fine-root biomass of the topsoil (0-10 cm) in the dry and irrigated treatment of the Scots pine forest of the years 2003 to 2016 recorded by soil coring

Data_Tab1+2_2005.xlsx
Fine-root traits from roots of ingrowth cores from 2005 after two years of growth in the dry and irrigated treatment of the Scots pine forest

Data_Tab1+2_2016.xlsx
Fine-root traits from roots of ingrowth cores from 2016 after two years of growth, and from roots of the soil-coring sampling from 2016 in the dry and irrigated treatment of the Scots pine forest

belowground-biomass

display_name: belowground-biomass

drought

display_name: drought

fine-root-traits

display_name: fine-root-traits

ingrowth-cores

display_name: ingrowth-cores

soil-coring

display_name: soil-coring


greenland-shrubs-and-microclimate

maintainer: Nathalie Chardon

title_for_slug: greenland-shrubs-and-microclimate

en: accessible-shrub-forest climate arctic validation field-data sdm

en: GitLab Repository

media_type: .zip

en: Zip drive of GitLab repository contents (https://gitlab.com/nathaliechardon/gl_microclim).

en: Kangerluarsunnguaq

media_type: .csv

en:
 Collected August 2020 (PI: Nathalie Isabelle Chardon)

These data collected August 2020 (PI: Nathalie Isabelle Chardon). Please contact N. I. Chardon (nathalie.chardon_at_gmail.com) for individual quadrat (i.e. 1 m x 1 m) data, which are averaged at the 90 m spatial grid here.

 COLUMN ABBREVIATIONS

 Metadata for 90 m spatial grid

id: sampling zone and unique 90 m grid identifier

long: WGS84 longitude

lat: WGS84 latitude

x_stere: longitude in Polar Stereographic (EPSG 4326)

y_stere: latitude in Polar Stereographic (EPSG 4326)

date: sampling day.month.year

 Species presence [1] or absence [0] at grid level

alcr: _Alnus crispa_

bena: _Betula nana_

dila: _Diapensia lapponica_

emni: _Empetrum nigrum_

hahy: _Harimanella hypoides_

lopr: _Loiseleuria procumbens_

oxpa: _Oxycoccus palustre_

phca: _Phyllodoce caerulea_

rhod: _Rhododendron_ sp.

saar: _Salix arctica_

sagl: _Salix glauca_

sahe: _Salix herbacea_

vaul: _Vaccinium uliginosum_

drin: _Dryas integrifolia_

thpr: _Thymus praecox_

 Habitat characteristics [% cover]

shrub: all shrub species

gram: graminoids

forb: forbs

bryo: bryophytes

lich: lichens

litt: litter

bare: bare ground

stone: stones (> 2 cm)

org: organic crust

 Shrub species height (maximum vegetative height) [mm] and cover (estimated in 1x1 m quadrat) [%]

alcr_c: _Alnus crispa_ cover

alcr_h: _Alnus crispa_ height

bena_c: _Betula nana_ cover

bena_h: _Betula nana_ height

dila_c: _Diapensia lapponica_ cover

dila_h: _Diapensia lapponica_ height

emni_c: _Empetrum nigrum_ cover

emni_h: _Empetrum nigrum_ height

hahy_c: _Harimanella hypoides_ cover

hahy_h: _Harimanella hypoides_ height

lopr_c: _Loiseleuria procumbens_ cover

lopr_h: _Loiseleuria procumbens_ height

oxpa_c: _Oxycoccus palustre_ cover

oxpa_h: _Oxycoccus palustre_ height

phca_c: _Phyllodoce caerulea_ cover

phca_height: _Phyllodoce caerulea_ height

rhod_c: _Rhododendron_ sp. cover

rhod_h: _Rhododendron_ sp. height

saar_c: _Salix arctica_ cover

saar_h: _Salix arctica_ height

sagl_c: _Salix glauca_ cover

sagl_h: _Salix glauca_ height

sahe_c: _Salix herbacea_ cover

sahe_h: _Salix herbacea_ height

vaul_c: _Vaccinium uliginosum_ cover

vaul_h: _Vaccinium uliginosum_ height

drin_c: _Dryas integrifolia_ cover

drin_h: _Dryas integrifolia_ height

 Community characteristics

rich_pa: shrub species richness at grid level

rich: shrub species richness averaged across 3 1x1 m sampling quadrats per grid

shan: Shannon diversity (‘vegan’ package; Oksanen et al. 2019)

comp_bena: shrub competition on _Betula nana_ (i.e. summed cover of non-_B. nana_ species) [% cover]

comp_sagl: shrub competition on _Salix glauca_ (i.e. summed cover of non-_S. glauca_ species) [% cover]

ht_cwm: maximum shrub canopy height (i.e. community weighted mean by abundance of maximum shrub height) [mm]

 Topography and terrain wetness (calculated from)

tcws: Tasseled Cap Wetness component (Sentinal images)

slope: slope angle (MEaSUREs Greenland Ice Mapping Project Digital Elevation Model v. 1; Howat et al., 2014, 2015) [º]

twi: SAGA wetness index (MEaSUREs Greenland Ice Mapping Project Digital Elevation Model v. 1; Howat et al., 2014, 2015)

asp: aspect (MEaSUREs Greenland Ice Mapping Project Digital Elevation Model v. 1; Howat et al., 2014, 2015) [º]

 Downscaled climate (time series 1984 – 2013)

insoljja: average June-August insolation [MJ cm-2 yr-1]

precipmam: cumulative March-May precipitation [mm]

tempcont: yearly maximum – minimum temperature [ºC]

tempmin: yearly minimum temperature [ºC]

precipjja: cumulative June-August precipitation [mm]

tempjja: average maximum June-August temperature [ºC]

tempmax: yearly maximum temperature [ºC]

en: Nuup Kangerlua

en:
 Collected July-August 2011-2013 (PI: Jacob Nabe-Nielsen)

These data collected July-August 2011-2013 (PI: Jacob Nabe-Nielsen). Please contact J. Nabe-Nielsen (jnn_at_ecos.au.dk) to request access to data on all surveyed shrub species. Available here are only data used in Chardon et al. 2022.

 COLUMN ABBREVIATIONS

 Metadata for 90 m spatial grid

year: sampling year

alt: average altitude of grid as recorded during field surveys [m]

long: WGS84 longitude

lat: WGS84 latitude

x_stere: longitude in Polar Stereographic (EPSG 4326)

y_stere: latitude in Polar Stereographic (EPSG 4326)

 Species presence [1] or absence [0] at grid level

pa_bena: _Betula nana_

pa_sagl: _Salix glauca_

 Shrub species cover (calculated from pin hits in 0.7 x 0.7 m frame, based on total of 25 hits) [%]

cov_bena: _Betula nana_ cover

cov_sagl: _Salix glauca_ cover

 Downscaled climate (time series 1984 – 2013)

tempjja: average maximum June-August temperature [ºC]

tempmax: yearly maximum temperature [ºC]

tempmin: yearly minimum temperature [ºC]

tempcont: yearly maximum – minimum temperature [ºC]

precipmam: cumulative March-May precipitation [mm]

precipjja: cumulative June-August precipitation [mm]

insoljja: average June-August insolation [MJ cm-2 yr-1]

 Topography and terrain wetness (calculated from)

twi: SAGA wetness index (MEaSUREs Greenland Ice Mapping Project Digital Elevation Model v. 1; Howat et al., 2014, 2015)

slope: slope angle (MEaSUREs Greenland Ice Mapping Project Digital Elevation Model v. 1; Howat et al., 2014, 2015) [º]

asp: aspect (MEaSUREs Greenland Ice Mapping Project Digital Elevation Model v. 1; Howat et al., 2014, 2015) [º]

tcws: Tasseled Cap Wetness component (Sentinal images)

 Community characteristics

rich: shrub species richness averaged across pin-point frames per grid

shan: Shannon diversity (‘vegan’ package; Oksanen et al. 2019)

comp_bena: shrub competition on Betula nana (i.e. summed cover of non-_B. nana_ species) [% cover]

comp_sagl: shrub competition on Salix glauca (i.e. summed cover of non-_S. glauca_ species) [% cover]

en:
 Study Aim

We collected these data to alternatively train and validate high resolution (~ 90 m) Species Distribution Models (SDMs) and Species Abundance Models (SAMs) for _Betula nana_ L. (dwarf birch, Betulaceae) and _Salix glauca_ L. (grey willow, Salicaceae) in Southwest Greenland to assess how well such models can predict local-scale patterns.

 Data Description

Individual (presence-absence, abundance, maximum vegetative height) and community (species composition, maximum canopy height) shrub data for two fjords near Nuuk, Southwest Greenland. Also provided are corresponding downscaled climate data as well as calculated topographic and terrain wetness indicator variables.

 Nuup Kangerlua (Godthåbsfjord)

_Betula nana_ and _Salix glauca_ presence-absence, abundance, community species richness

 Kangerluarsunnguaq (Kobbefjord)

Shrub presence-absence, abundance, maximum vegetative height, community composition, maximum shrub canopy height

 Methods

 Field survey in Nuup Kangerlua

We conducted a stratified systematic plant survey along the length of Nuup Kangerlua (NK) fjord in Soutwesth Greenland (Fig. 1 in Chardon et al. 2022; following Nabe-Nielsen et al., 2017). At five distinct sites, we sampled along elevational gradients to collect data on presences, absences, abundance, and species composition of all woody species using a 0.7 x 0.7 m pin-point frame (Fig. 1e in Chardon et al. 2022). For model training, we converted these pin-point data to percent cover estimates based on the number of pins dropped (n = 25 per plot) and averaged them across the 119 spatio-climatic grids (see next section) corresponding to the plot locations (for details see Appendix S2 in Chardon et al. 2022).

 Field survey in Kangerluarsunnguaq

We conducted a random stratified plant survey in Kangerluarsunnguaq (K) fjord in Southwest Greenland. We used a preliminary Species Abundance Model trained with summed pin counts of _Betula nana_ in NK fjord (see Fig. S1.3 in Chardon et al. 2022) to stratify the ~ 27 x 17 km fjord landscape into low, medium, and high abundances classes. We randomly selected 90 x 90 m spatio-climatic grids to survey in each class for a total of 200 grids, ensuring that they were accessible by foot or boat (for details see Appendix S2 in Chardon et al. 2022). Within each grid, we sampled within three 1 m2 quadrats arranged in a randomly rotated equilateral triangle centered on the mid-point of the cell. We used a gridded sampling quadrat with 1% delineations (Fig. 1h in Chardon et al. 2022) to record woody species presences, absences, and composition, estimated percent cover, and measured maximum shrub species vegetatitve height. At every plot, we also visually scanned the area in a 20 m radius from the plot and recorded the presence of any additional shrub species to estimate grid-level species richness. As in NK fjord, we averaged these data at the grid level (for details see Appendix S2 in Chardon et al. 2022).

 Biotic variables

We calculated biotic microscale variables from the plant survey data collected in NK and K fjords. We calculated shrub species richness, diversity, and competition (i.e. sum of non-B. nana or non-S. glauca pin hits or percent cover). In K fjord, we also calculated canopy height as the community weighted mean (by abundance) of maximum vegetative shrub height.

 Climate variables

We computed high resolution temperature, precipitation, and insolation for local scale data for the study area by statistically downscaling climate time series (1982 - 2013) from the monthly CHELSA data (Karger et al. 2017). We downscaled these data from 30 arc sec (~ 400 m at the latitude of our study) to our target grid size of ~ 90 m with geographic weighted regression and using the MEaSUREs Greenland Ice Mapping Project (GIMP) Digital Elevation Model (DEM) v. 1 (Howat et al., 2014, 2015). We then calculated 30-year averages of the climate parameters: average summer (June – August) maximum temperature, yearly maximum temperature, yearly minimum temperature, temperature continentality (yearly max. - min. temperatures), cumulative Spring (March – May) precipitation, cumulative summer precipitation, and average summer incident solar radiation (henceforth, insolation) (for calculation details see Appendices S2, S3 in Chardon et al. 2022 and Appendix S2 in von Oppen et al. 2021).

 Topography and terrain wetness indicator variables

We calculated several topographic and terrain wetness indices at a local scale. We derived slope, aspect, and the SAGA wetness index (hereafter TWI; Boehner et al., 2002; Boehner and Selige, 2006) from the GIMP DEM. TWI is a measure of how ‘wet’ an area is, based on water drainage from the surrounding landscape. We also calculated the tasseled cap wetness component (hereafter TCW, Crist and Cicone 1984) from satellite images (for details see Appendices S2, S3 in Chardon et al. 2022) as an alternative measure of wetness.

 Computer code

Attached as zip file and available on GitLab (https://gitlab.com/nathaliechardon/gl_microclim)

 Third-party data

Data used to calculate climate, topography, and terrain wetness indicator variables are publicly available (see Appendix S2 in Chardon et al. 2022 for all data references).

accessible-shrub-forest

display_name: accessible-shrub-forest

arctic

display_name: arctic

climate

display_name: climate

field-data

display_name: field-data

sdm

display_name: sdm

validation

display_name: validation

en: Greenland shrubs and microclimate


modeling-snow-failure-with-dem

title_for_slug: modeling-snow-failure-with-dem

en: snow-failure discrete-element-modelling snow snow-micro-mechanics snow-avalanche

en: Read-me

en: The read-me file contains a description of all the data provided in the zip file.

en: Dataset

en: The zip file contains the data underlying the figures presented in Bobillier et al. (2019). The figures can be reproduced with the python file, which is also provided.

en: Python file

media_type: text/x-python

en: Python file to reproduce the figures in Bobillier et al. (2019)

mimetype: text/x-python

en: This data set includes the modeling results described in the research article by Bobiller et al. (2020). All the figures in the article can be reproduced with the data provided.

discrete-element-modelling

display_name: discrete-element-modelling

snow

display_name: snow

snow-avalanche

display_name: snow-avalanche

snow-failure

display_name: snow-failure

snow-micro-mechanics

display_name: snow-micro-mechanics

envidat

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

en: Modeling snow failure with DEM


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

en: Site aerial photo (Neunkirch)

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

en: Data plot of the field station (NEF)

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

en: Data plot of the forest station (NEB)

en: Forest station data (NEB)

en: Data file.

en: Field station data (NEF)

en: Site photo of the field station (NEF)

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

en: Site photo of the forest station (NEB)

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

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 Neunkirch in Switzerland where one station is located within a natural deciduous forest stand (NEB) with European beech (_Fagus sylvatica_; 160 yrs), sycamore maple (_Acer pseudoplatanus_; 160 yrs) and lime trees (_Tilia sp._; 110 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, NEF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Neunkirch 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

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal

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


maintainer: Peter Bebi

en: vegetation carbon-dioxide experiment soil-temperature climate-change

en: FACE experimental design

media_type: PNG

en: Project description

en: FACE DATASETS

en:
 Overview
High elevation ecosystems are important in research about environmental change because shifts in climate associated with anthropogenic greenhouse gas emissions are predicted to be more pronounced in these areas than in most other regions of the world. This project involves a Free Air CO2 Enrichment (FACE) and soil warming experiment located in a natural treeline environment near Davos, Switzerland (Stillberg, 2200 m a.s.l.). Elevated atmospheric CO2 concentrations (+200 ppm) were applied from 2001 to 2009, and a soil warming treatment (+4 K) was added in 2007 (ongoing). The combined CO2 enrichment and warming treatment reflects conditions expected to occur in this region in approximately 2050. A broad range of ecological and biogeochemical research is carried out as part of this environmental change project.

#Experimental setup
The experiment consists of 40 hexagonal 1.1 m2 plots, 20 with a Pinus mugo ssp. uncinata (mountain pine, evergreen) individual in the centre and 20 with a Larix decidua (European larch, deciduous) individual in the centre. A dense cover of understorey vegetation surrounds the tree in each plot, including the dominant dwarf shrub species Vaccinium myrtillus (bilberry), Vaccinium gaultherioides (group V. uliginosum agg., northern bilberry) and Empetrum nigrum ssp. hermaphroditum (crowberry) plus several herbaceous and non-vascular species.

At the beginning of the experimental period, the 40 plots were assigned to 10 groups of four neighbouring plots (two larch and two pine trees per group) in order to facilitate the logistics of CO2 distribution and regulation. Half of these groups were randomly assigned to an elevated CO2 treatment while the remaining groups served as controls and received no additional CO2. In spring 2007, one plot of each tree species identity was randomly selected from each of the 10 CO2 treatment groups and assigned a soil warming treatment, yielding a balanced design with a replication of five individual plots for each combination of CO2 level, warming treatment and tree species.

#Data
Soil and air conditions have been monitored closely throughout the study period, with most measurements made during the combined CO2 x warming experiment (2007-2009).

carbon-dioxide

display_name: carbon-dioxide

experiment

display_name: experiment

soil-temperature

display_name: soil-temperature

vegetation

display_name: vegetation

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: FACE: Stillberg CO2 enrichment and soil warming study