fr: prestataire-de-mobilite train passager telepheriques halte organisation-commerciale ligne lmeta moyen-de-transport donnees horaire voyage autobus hrdf

de: hrdf bus embag zug fahrt verkehrsmittel passagier daten seilbahn mobilitatsdienstleister linie haltestelle geschaftsorganisation fahrplan

en: mode-of-transportation bus cableways train hrdf business-organisation line data mobility-service-provider journey passenger stop timetable

it: lmeca funivie organizzazione-aziendale linea fermata mezzo-di-trasporto viaggio autobus dati passaggero orario fornitore-di-servizi-di-mobilita treno hrdf

fr: TODO

de: TODO

en: TODO

it: TODO

fr: L’horaire comprend les éléments topologiques et temporels fondamentaux permettant la représentation de l’horaire et la fourniture d’informations à ce sujet. L’horaire est fourni au format de données brutes HAFAS (HRDF).

de: Der Fahrplan enthält die grundlegenden topologischen, sowie die zeitlichen Element, die eine Fahrplandarstellung und -auskunft ermöglichen.

en: The timetable contains the essential topological and temporal elements that enable timetable display and information. The timetable is provided in the HAFAS raw data format (HRDF).

it: L’orario contiene l’elemento topologico basilare e anche l’elemento temporale, che consentono la rappresentazione dell’orario e le informazioni sull’orario. L’orario viene messo a disposizione tramite il formato Raw HAFAS (HRDF).

fr: Secrétariat des tâches du système d’information à la clientèle (CFF SA)


maintainer: Specialist office Open Data

fr: telepheriques horaire hrdf voyage prestataire-de-mobilite lmeta train donnees autobus passager halte moyen-de-transport organisation-commerciale ligne

de: verkehrsmittel bus seilbahn fahrt passagier haltestelle geschaftsorganisation embag hrdf daten zug fahrplan mobilitatsdienstleister linie

en: stop mobility-service-provider business-organisation passenger bus cableways hrdf line train journey timetable data mode-of-transportation

it: treno funivie viaggio lmeca linea mezzo-di-trasporto passaggero autobus organizzazione-aziendale dati orario fornitore-di-servizi-di-mobilita hrdf fermata

label: Terms of use

label: Cookbook

state: active

type: dataset

media_type: application/zip

fr: L’horaire périodique est mis à jour en continu en fonction de toutes les modifications survenues en cours d’année. Il se base sur l’horaire annuel. L’horaire périodique contient toujours l’horaire dans son intégralité.

de: Der Periodenfahrplan wird laufend aktualisiert mit allen übers Jahr auftretenden Veränderungen. Ausgang ist der Jahresfahrplan. Der Periodenfahrplan enthält immer den gesamten Fahrplan.

en: The periodic timetable is continuously updated with all of the changes made throughout the year. It is based on the annual timetable. The periodic timetable always contains the entire timetable.

it: L’orario periodico viene aggiornato di continuo con tutte le modifiche che si verificano nel corso dell’anno. Il punto di partenza è l’orario annuale. L’orario periodico contiene sempre l’intero orario.

format: ZIP

mimetype: zip

mimetype: ZIP

de: Der Fahrplan enthält die grundlegenden topologischen, sowie die zeitlichen Element, die eine Fahrplandarstellung und -auskunft ermöglichen. Der Fahrplan wird mittels des HAFAS Rohdatenformat (HRDF) zur Verfügung gestellt.

oevch

de: Geschäftsstelle Systemaufgaben Kundeninformation (SBB AG)

en: Business office of Customer Information System Tasks (SBB CFF FFS)

it: Servizio commerciale Attività di sistema Informazione alla clientela (FFS SA)

fr: Le Secrétariat des tâches du système d’information à la clientèle (SKI) publie pour le compte de l’OFT les données de l’ensemble des transports publics de Suisse.

de: Die Geschäftsstelle Systemaufgaben Kundeninformation (SKI) veröffentlicht im Auftrag des BAV die Daten des gesamten öffentlichen Verkehrs der Schweiz

en: Working on behalf of the Swiss Federal Office of Transport (FOT), the Customer Information System Tasks (SKI) business office publishes data on all public transport in Switzerland

it: Il servizio commerciale Attività di sistema Informazione alla clientela (SKI) pubblica, per conto dell’UFT, i dati di tutto il trasporto pubblico in Svizzera.


fr: halte prestataire-de-mobilite telepheriques horaire donnees hrdf voyage passager lmeta train moyen-de-transport autobus ligne organisation-commerciale

de: embag haltestelle geschaftsorganisation hrdf verkehrsmittel mobilitatsdienstleister zug fahrplan daten linie seilbahn fahrt passagier bus

en: mobility-service-provider business-organisation mode-of-transportation line stop passenger hrdf train bus journey cableways data timetable

it: fornitore-di-servizi-di-mobilita funivie viaggio treno linea passaggero orario organizzazione-aziendale dati autobus mezzo-di-trasporto fermata lmeca hrdf

autobus

display_name: autobus

bus

display_name: bus

business-organisation

display_name: business-organisation

cableways

display_name: cableways

data

display_name: data

daten

display_name: daten

dati

display_name: dati

donnees

display_name: donnees

embag

display_name: embag

fahrplan

display_name: fahrplan

fahrt

display_name: fahrt

fermata

display_name: fermata

fornitore-di-servizi-di-mobilita

display_name: fornitore-di-servizi-di-mobilita

funivie

display_name: funivie

geschaftsorganisation

display_name: geschaftsorganisation

halte

display_name: halte

haltestelle

display_name: haltestelle

horaire

display_name: horaire

hrdf

display_name: hrdf

journey

display_name: journey

ligne

display_name: ligne

line

display_name: line

linea

display_name: linea

linie

display_name: linie

lmeca

display_name: lmeca

lmeta

display_name: lmeta

mezzo-di-trasporto

display_name: mezzo-di-trasporto

mobilitatsdienstleister

display_name: mobilitatsdienstleister

mobility-service-provider

display_name: mobility-service-provider

mode-of-transportation

display_name: mode-of-transportation

moyen-de-transport

display_name: moyen-de-transport

orario

display_name: orario

organisation-commerciale

display_name: organisation-commerciale


dienststellen-fahrplanwechsel

title_for_slug: dienststellen-fahrplanwechsel

fr: entree-et-sortie halte point-de-chargement point-de-exploitation passager donnees lmeta train proprietaire lieu-de-prestation-de-services service

de: dienstleistungsort ein--und-ausstieg bedienpunkt embag zug haltestelle betriebspunkt dienststelle passagier proprietar daten

en: service-location proprietary passenger train operating-points data freight-point stop boarding-and-alighting service-point

it: proprietario entrata-e-uscita posto-di-servizio treno punto-operativo posizione-del-servizio punto-di-servizio passaggero dati lmeca fermata

label: Allgemeine Infos

fr: Ce jeu de données contient tous les services de transports publics (arrêts, points de chargement & points d'exploitation) de Suisse valables à partir du prochain changement d'horaire.

de: Dieser Datensatz beinhaltet alle ab nächstem Fahrplanwechsel gültigen öV-relevanten Dienststellen (Haltestellen, Bedienpunkte & Betriebspunkte) der Schweiz.

en: This data set contains all public transport-relevant service points (stops, freight points & operating points) in Switzerland valid from the next timetable change.

it: Questo set di dati contiene tutti i punti di servizio rilevanti per il trasporto pubblico (fermate, punti di servizi e punti operativi) in Svizzera, validi a partire dal prossimo cambio di orario.

bedienpunkt

display_name: bedienpunkt

betriebspunkt

display_name: betriebspunkt

boarding-and-alighting

display_name: boarding-and-alighting

data

display_name: data

daten

display_name: daten

dati

display_name: dati

dienstleistungsort

display_name: dienstleistungsort

dienststelle

display_name: dienststelle

donnees

display_name: donnees

ein--und-ausstieg

display_name: ein--und-ausstieg

embag

display_name: embag

entrata-e-uscita

display_name: entrata-e-uscita

entree-et-sortie

display_name: entree-et-sortie

fermata

display_name: fermata

freight-point

display_name: freight-point

halte

display_name: halte

haltestelle

display_name: haltestelle

lieu-de-prestation-de-services

display_name: lieu-de-prestation-de-services

operating-points

display_name: operating-points

passager

display_name: passager

passaggero

display_name: passaggero

passagier

display_name: passagier

passenger

display_name: passenger

point-de-chargement

display_name: point-de-chargement

point-de-exploitation

display_name: point-de-exploitation

posizione-del-servizio

display_name: posizione-del-servizio

posto-di-servizio

display_name: posto-di-servizio

proprietaire

display_name: proprietaire

proprietar

display_name: proprietar

proprietario

display_name: proprietario

proprietary

display_name: proprietary

punto-di-servizio

display_name: punto-di-servizio

punto-operativo

display_name: punto-operativo

service

display_name: service

service-location

display_name: service-location

service-point

display_name: service-point

stop

display_name: stop

train

display_name: train

treno

display_name: treno

zug

display_name: zug

spatial: Schweiz

oevch

political_level: other

schweizerische-bundesbahnen-sbb

capacity: public

type: organization

approval_status: approved

key: guid


maintainer: Contact Name

fr: prestataire-de-mobilite train ligne organisation-commerciale lmeta gtfs voyage passager moyen-de-transport horaire halte autobus telepheriques donnees

de: linie fahrplan fahrt verkehrsmittel gtfs daten zug bus geschaftsorganisation haltestelle passagier embag mobilitatsdienstleister seilbahn

en: passenger gtfs line stop mode-of-transportation bus data business-organisation train timetable mobility-service-provider cableways journey

it: fornitore-di-servizi-di-mobilita mezzo-di-trasporto lmeca orario dati funivie passaggero organizzazione-aziendale autobus treno gtfs linea viaggio fermata

label: Aufzeichnung des Online-Meet-Ups vom 13.11.2023

label: Cookbook GTFS-RT Service Alerts

label: Google Definition GTFS

label: Cookbook GTFS-RT

fr:
L’horaire comprend les éléments topologiques et temporels fondamentaux permettant la représentation de l’horaire et la fourniture d’informations à ce sujet. L’horaire est mis à disposition au format GTFS (General Transit Feed Specification Format).

Ce format est également appelé GTFS Static. Les informations en temps réel représentées par GTFS Realtime (GTFS-RT) et les informations événementielles GTFS-RT Service Alerts (GTFS-RT (SA)) sont liées à ce format de données. Nous proposons des informations complémentaires à ce sujet, ainsi que sur la documentation officielle.

de:
Der Fahrplan enthält die grundlegenden topologischen, sowie die zeitlichen Element, die eine Fahrplandarstellung und -auskunft ermöglichen. Der Fahrplan wird mittels des General Transit Feed Specification Format (GTFS) zur Verfügung gestellt.

Das Format wird auch GTFS Static genannt. Mit diesem Datenformat zusammenhängend sind die Echtzeitinformationen, die über GTFS Realtime (GTFS-RT) abgebildet werden, sowie die Ereignisinformationen GTFS-RT Service Alerts (GTFS-RT (SA)). Hierzu bieten wir weiterführende Informationen, sowie auch zur offiziellen Dokumentation.

en:
The timetable contains the essential topological and temporal elements that enable timetable display and information. The timetable is provided in the General Transit Feed Specification Format (GTFS).

The format is also called GTFS Static. Related to this data format is the real-time information, which is mapped via GTFS Realtime (GTFS-RT), as well as the GTFS-RT Service Alerts (GTFS-RT (SA)) event information. We offer further information on this, as well as on the official documentation.

it:
L’orario contiene l’elemento topologico basilare e anche l’elemento temporale, che consentono la rappresentazione dell’orario e le informazioni sull’orario. L’orario viene messo a disposizione tramite il General Transit Feed Specification Format (GTFS).

Il formato è chiamato anche GTFS statico. A questo formato di dati sono collegate le informazioni in tempo reale, mappate tramite GTFS Realtime (GTFS-RT), nonché le informazioni sugli eventi GTFS-RT Service Alerts (GTFS-RT (SA)). Offriamo ulteriori informazioni su questo aspetto e sulla documentazione ufficiale.


agri

fr: Agriculture, pêche, sylviculture et alimentation

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

en: Agriculture, fisheries, forestry and food

it: Agricoltura, pesca, silvicoltura e prodotti alimentari

regi

fr: Régions et villes

de: Regionen und Städte

en: Regions and cities

it: Regioni e città

envi

fr: Environnement

de: Umwelt

en: Environment

it: Ambiente

de: baum bauminventar baumkataster stadtbaum

label: geocat.ch permalink

fr: Map (Preview)

de: Map (Preview) Stadtplan

en: Map (Preview)

it: Map (Preview)

de: Link zum Thema im Internet-Stadtplan der Stadt Bern

format: SERVICE

de: WMS Baumkataster

de: Web Map Services WMS

format: WMS

de: WFS Baumkataster

de: Web Feature Services WFS

format: WFS

de: Durch Stadtgrün bewirtschaftete Bäume, Symbole für Laubbaum, Nadelbaum und Obstbaum, mit den Informationen über Gattung, Art, deutscher Name, Pflanzjahr und Standort.

spatial: Stadt Bern

geoinformation-der-stadt-bern

fr: L’Office du cadastre de la ville de Berne

de: Geoinformation Stadt Bern

en: The Land Surveying Office of the City of Bern

it: L'ufficio del catasto nella Città di Berna

fr: L’Office du cadastre (Geoinformation Stadt Bern) est l’organisme compétent pour la collecte, l’accès et la diffusion d’informations géographiques dans la ville de Berne.

de: Geoinformation Stadt Bern (ehemals Vermessungsamt) ist die Kompetenzstelle für die Beschaffung, den Zugang und die Verbreitung von Geoinformationen in der Stadt Bern.

en: The Surveying Office (Geoinformation Stadt Bern) is the centre of competence in the City of Bern for the procurement of, access to and dissemination of geographic information.

it: L'ufficio del catasto (Geoinformation Stadt Bern) è il centro di competenza per il reperimento, l'accesso e la diffusione di geoinformazioni nella Città di Berna.

political_level: commune

value: Geoinformation Stadt Bern - Geocat Harvester

de: Baumkataster


postleitzahl-ur

title_for_slug: postleitzahl-ur

label: Web GIS Client des Kanton Uri. Die Daten können direkt via dem Portal in den unterschiedlichsten Datenformaten heruntergeladen werden.

fr: WMS-Dienst des Kanton Uri

de: WMS-Dienst des Kanton Uri

en: WMS-Dienst des Kanton Uri

it: WMS-Dienst des Kanton Uri

fr: WFS-Dienst des Kanton Uri

de: WFS-Dienst des Kanton Uri

en: WFS-Dienst des Kanton Uri

it: WFS-Dienst des Kanton Uri

fr: Postleitzahl aus TOPIC «PLZOrtschaft» der amtlichen Vermessung.

spatial: Canton of Uri (UR)

geoinformation-kanton-uri

de: Lisag AG, Geoinformation Kanton Uri

de: Die Lisag AG bewirtschaftet das geografische Informationssystem des Kantons Uri (GIS Uri), ist die verantwortliche Stelle für den ÖREB-Kataster Uri und zudem zuständig für die Durchführung der amtlichen Vermessung auf Urner Kantonsgebiet.

political_level: canton

value: Uri-Kt - Geocat Harvester

fr: Postleitzahl (UR)

de: Postleitzahl (UR)

en: Postleitzahl (UR)

it: Postleitzahl (UR)


egid-und-gebaudenummer

regi

de: Regionen und Städte

envi

de: Umwelt

title_for_slug: egid-und-gebaudenummer

fr: EGID und Gebäudenummer. Jedes Gebäude hat eine vortlaufende Nummer die gemeindeweise eindeutig ist.

fr: EGID und Gebäudenummer

de: EGID und Gebäudenummer

en: EGID und Gebäudenummer

it: EGID und Gebäudenummer


grundbuchplan-ur

title_for_slug: grundbuchplan-ur

fr: plan-de-situation geodonnees-de-base

de: situationsplan geobasisdaten

en: situation-plan official-geodata

it: piano-di-situazione geodati-di-base

fr: Diverse Ebenen aus der Amtlichen Vermessung bilden den bekannten Grundbuchplan. Der Katasterplan A4/A3 als PDF können sie ebenfalls hier direkt beziehen.

fr: Grundbuchplan (UR)

de: Grundbuchplan (UR)

en: Grundbuchplan (UR)

it: Grundbuchplan (UR)


fixpunkte-ur

title_for_slug: fixpunkte-ur

fr: Die Fixpunkte bilden die Grundlage aller Daten mit Raumbezug. Darunter fallen beispielsweise die Daten der amtlichen Vermessung, die Landeskartenwerke, Leitungskataster, Daten in geographischen Informationssystemen, Zonenpläne etc. Es werden generell zwei Punktarten unterschieden: die Lagefixpunkte (LFP) und die Höhenfixpunkte (HFP).

fr: Fixpunkte (UR)

de: Fixpunkte (UR)

en: Fixpunkte (UR)

it: Fixpunkte (UR)


bodenbedeckung-ur

title_for_slug: bodenbedeckung-ur

fr: couverture-du-sol geodonnees-de-base

de: bodenbedeckung geobasisdaten

en: land-cover official-geodata

it: copertura-del-suolo geodati-di-base

fr: Die Informationsebene Bodenbedeckung ist eine generalisierte und kartografisch bearbeitete Darstellung realer Objekte mit flächiger Ausdehnung (Gebäude, Strassen, Gewässer, Wald...).

fr: Bodenbedeckung (UR)

de: Bodenbedeckung (UR)

en: Bodenbedeckung (UR)

it: Bodenbedeckung (UR)


einzelobjekte-ur

regi

fr: Régions et villes

envi

fr: Environnement

title_for_slug: einzelobjekte-ur

fr: Die Informationsebene Einzelobjekte umfasst Objekte, die Merkmale der Bodenbedeckung enthalten, welche aufgrund ihrer Eigenschaft oder Ausdehnung aber keine oder unwesentliche flächenmässige Bedeutung haben.

fr: Einzelobjekte (UR)

de: Einzelobjekte (UR)

en: Einzelobjekte (UR)

it: Einzelobjekte (UR)


nomenklatur-ur

title_for_slug: nomenklatur-ur

fr: WMS-Dienst des Kanton Uri

fr: WFS-Dienst des Kanton Uri

fr: Flur-, Orts- und Geländenamen (= geografische Namen der amtlichen Vermessung) von geografischen Gebieten, Landschaftsteilen, Flurstücken, topografischen Objekten usw.

fr: Nomenklatur (UR)

de: Nomenklatur (UR)

en: Nomenklatur (UR)

it: Nomenklatur (UR)


gebaudeadressen-ur

title_for_slug: gebaudeadressen-ur

fr: Die Gebäudeadresse setzt sich zusammen aus einer Ortschaft mit Postleitzahl, einem Lokalisationsnamen (in der Regel Strassennamen) und einer Hausnummer. Zusätzlich werden die Strassenstücke und benannten Gebiete der amtlichen Vermessung dargestellt.

fr: Gebäudeadressen (UR)

de: Gebäudeadressen (UR)

en: Gebäudeadressen (UR)

it: Gebäudeadressen (UR)


liegenschaften-ur

regi

en: Regions and cities

it: Regioni e città

title_for_slug: liegenschaften-ur

fr: terrain geodonnees-de-base

de: grundstuck geobasisdaten

en: site official-geodata

it: fondo geodati-di-base

fr: Die Informationsebene Liegenschaften enthält die Grundstücke gemäss Art. 655 Abs. 2 ZGB: rechtsgültige und projektierte Liegenschaften (Parzellen), selbständige und dauernde Rechte (z.B. Baurecht). Zudem sind ab dem Massstab 1:1'000 auch die Grenzpunkte und Hoheitsgrenzpunkte sichtbar.

fr: Liegenschaften (UR)

de: Liegenschaften (UR)

en: Liegenschaften (UR)

it: Liegenschaften (UR)


envi

en: Environment

it: Ambiente

fr: plan-de-situation geodonnees-de-base

de: WMS-Dienst des Kanton Uri

de: WFS-Dienst des Kanton Uri

fr: Diverse Ebenen aus der Amtlichen Vermessung bilden den bekannten Grundbuchplan. Den Katasterplan A4/A3 als PDF können sie ebenfalls hier direkt beziehen.

fr: Grundbuchplan Darstellung schwarz-weiss (UR)


maintainer: Fachstelle Open-Data-Plattform Mobilität Schweiz

fr: voyage moyen-de-transport autobus train passager telepheriques horaire ligne lmeta halte donnees netex prestataire-de-mobilite

de: embag zug geschaftsorganisation haltestelle netex daten fahrplan linie fahrt mobilitatsdienstleister seilbahn verkehrsmittel passagier bus

en: passenger stop timetable train mobility-service-provider mode-of-transportation netex bus cableways line data journey

it: dati mezzo-di-trasporto orario autobus fornitore-di-servizi-di-mobilita funivie treno fermata linea lmeca passaggero netex viaggio

label: Profil NeTEx öV Schweiz

media_type: text/csv

format: CSV

fr:
L'horaire contient les éléments topologiques de base, ainsi que les éléments temporels qui permettent une représentation et une information de l'horaire. Il s'agit d'un premier jeu de données de test dans NeTEx. Elle couvre la partie occidentale de la Suisse et se base sur un profil suisse (voir autres indications).

Remarque : le fichier CSV ne contient qu'une liste de fichiers dans le ZIP.

de:
Der Fahrplan enthält die grundlegenden topologischen, sowie die zeitlichen Element, die eine Fahrplandarstellung und -auskunft ermöglichen. Dies ist ein erster Testdatensatz in NeTEx. Er umfasst den westlichen Teil der Schweiz und beruht auf einem Schweizer Profil (s. weitere Angaben).

Hinweis: die CSV Datei enthält nur eine Liste der Dateien im ZIP.

en:
The timetable contains the basic topological, as well as the temporal elements that enable a timetable display and information. This is a first test data set in NeTEx. It covers the western part of Switzerland and is based on a Swiss Profile (see further information)

Note: the CSV file only contains a list of the files in the ZIP.

it:
L'orario contiene gli elementi topologici di base e gli elementi temporali che permettono una rappresentazione e un'informazione dell'orario. Questo è un primo set di dati di prova in NeTEx. Copre la parte occidentale della Svizzera e si basa su un profilo svizzero (vedi ulteriori informazioni).

Nota: il file CSV contiene solo un elenco dei file contenuti nello ZIP.

autobus

display_name: autobus

bus

display_name: bus

oevch

fr: Secrétariat des tâches du système d’information à la clientèle (CFF SA)

de: Geschäftsstelle Systemaufgaben Kundeninformation (SBB AG)

en: Business office of Customer Information System Tasks (SBB CFF FFS)

it: Servizio commerciale Attività di sistema Informazione alla clientela (FFS SA)

fr: Le Secrétariat des tâches du système d’information à la clientèle (SKI) publie pour le compte de l’OFT les données de l’ensemble des transports publics de Suisse.

de: Die Geschäftsstelle Systemaufgaben Kundeninformation (SKI) veröffentlicht im Auftrag des BAV die Daten des gesamten öffentlichen Verkehrs der Schweiz

en: Working on behalf of the Swiss Federal Office of Transport (FOT), the Customer Information System Tasks (SKI) business office publishes data on all public transport in Switzerland

it: Il servizio commerciale Attività di sistema Informazione alla clientela (SKI) pubblica, per conto dell’UFT, i dati di tutto il trasporto pubblico in Svizzera.


administrative-einteilung-ur

regi

fr: Régions et villes

de: Regionen und Städte

envi

fr: Environnement

de: Umwelt

title_for_slug: administrative-einteilung-ur

fr: repartition-du-plan geodonnees-de-base

de: planeinteilung geobasisdaten

en: plan-division official-geodata

it: ripartizione-del-piano geodati-di-base

en: WMS-Dienst des Kanton Uri

it: WMS-Dienst des Kanton Uri

en: WFS-Dienst des Kanton Uri

it: WFS-Dienst des Kanton Uri

fr: Die Toleranzstufen sind ein Teil des Datenmodells DM01 und geben an, wie genau die Objekte der AV aufgenommen sein müssen. In den entsprechenden Verordnungen ist definiert, welche Standardabweichungen für die einzelnen Aufnahmepunkte sicherzustellen sind.

geoinformation-kanton-uri

de: Lisag AG, Geoinformation Kanton Uri

de: Die Lisag AG bewirtschaftet das geografische Informationssystem des Kantons Uri (GIS Uri), ist die verantwortliche Stelle für den ÖREB-Kataster Uri und zudem zuständig für die Durchführung der amtlichen Vermessung auf Urner Kantonsgebiet.

fr: Administrative Einteilung (UR)

de: Administrative Einteilung (UR)

en: Administrative Einteilung (UR)

it: Administrative Einteilung (UR)


fr: couverture-du-sol geodonnees-de-base

de: bodenbedeckung geobasisdaten

en: land-cover official-geodata

it: copertura-del-suolo geodati-di-base

url: https://geo.ur.ch/?layers=Bodenbedeckung Darstellung schwarz weiss

fr: WMS-Dienst des Kanton Uri

fr: WFS-Dienst des Kanton Uri

fr: Die Informationsebene Bodenbedeckung ist eine generalisierte und kartografisch bearbeitete Darstellung realer Objekte mit flächiger Ausdehnung (Gebäude, Strassen, Gewässer, Wald...).

fr: Bodenbedeckung Darstellung schwarz weiss (UR)


hoheitsgrenzen-ur

title_for_slug: hoheitsgrenzen-ur

fr: Da der Kanton Uri keine Bezirke hat, bestehen die Hoheitsgrenzen ausschliesslich aus den Gemeindegrenzen.

fr: Hoheitsgrenzen (UR)

de: Hoheitsgrenzen (UR)

en: Hoheitsgrenzen (UR)

it: Hoheitsgrenzen (UR)


planeinteilungen-ur

title_for_slug: planeinteilungen-ur

fr: Die Geometrien und Nummern der Planeinteilung des Planes für das Grundbuch.

fr: Planeinteilungen (UR)

de: Planeinteilungen (UR)

en: Planeinteilungen (UR)

it: Planeinteilungen (UR)


soci

fr: Population et société

de: Bevölkerung und Gesellschaft

en: Population and society

it: Popolazione e società

educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

en: Education, culture and sport

it: Istruzione, cultura e sport

de: eigentumsbeschrankungoreb gebaude-und-anlagen kulturdenkmal kulturguterschutz nutzungsplanung ortsbildschutz zonenplan

protocol: https

de: Datenshop

de: Produktansicht Geodatenshop

de: Im Bauinventar werden schützenswerte und erhaltenswerte Baudenkmäler des Kantons erfasst. Besonders schutzwürdige Kulturobjekte werden ins Kantonale Denkmalverzeichnis eingetragen und unter Schutz gestellt.

spatial: Kanton Luzern

fr: Géoinformation du canton de Lucerne

de: Geoinformation Kanton Luzern

en: Geoinformation Canton of Lucerne

it: Geoinformazione del Cantone di Lucerna

fr: La géoinformation du canton de Lucerne est responsable de la collecte, du traitement et de la gestion des données à référence spatiale. Elle dirige, coordonne et surveille les travaux de la géoinformation et de la mensuration officielle.

en: Geoinformation of the Canton of Lucerne is responsible for the collection, processing and management of spatial data. It manages, coordinates and monitors the work of geoinformation and of the cadastral surveying.

de: Die Geoinformation des Kantons Luzern ist für die Erhebung, Verarbeitung und Verwaltung von raumbezogenen Daten zuständig. Sie leitet, koordiniert und überwacht die Arbeiten der Geoinformation und der amtlichen Vermessung.

it: La Geoinformation del Cantone di Lucerna è responsabile della raccolta, dell'elaborazione e della gestione dei dati territoriali. Gestisce, coordina e monitora il lavoro della geoinformazione e della misurazione ufficiale.

value: LU-Kt - Geocat Harvester

de: Kantonales Denkmalverzeichnis und Bauinventar


waldflachen

agri

fr: Agriculture, pêche, sylviculture et alimentation

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

en: Agriculture, fisheries, forestry and food

it: Agricoltura, pesca, silvicoltura e prodotti alimentari

regi

fr: Régions et villes

de: Regionen und Städte

en: Regions and cities

it: Regioni e città

envi

fr: Environnement

de: Umwelt

title_for_slug: waldflachen

de: forstwirtschaft nutzungsplanung vegetation wald

de: Wald nach Waldrecht, dieser umfasst unter anderem auch Waldstrassen, Gewässer und Gebäude innerhalb des Waldes.

de: Waldflächen


maintainer: Mountain Hydrology and Mass Movements

en: natural-hazard-fatalities ice-avalanche-fatalities rockfall-fatalities lightning-fatalities earthquake-fatalities landslide-fatalities windstorm-fatalities flood-fatalities debris-flow-fatalities

en: Natural hazard fatalities per year in Swizterland since 1946.

mimetype: text/csv

en:
This dataset contains the number of fatalities due to flood, debris flow, landslide, rockfall, windstorm, lightning, ice avalanche, earthquake and other processes like roof avalanche or lacustrine tsunami for each year since 1946.
The following information is contained (by column and column title):

* year
* total number of hazard fatalities
* number of fatalities by flood (German: Hochwasser, Überschwemmung). Flood includes people drowned in flooded or inundated areas or carried away in streams under high-water conditions.
* number of fatalities by debris flow (German: Murgang).
* number of fatalities by landslide (German: Erdrutsch). Landslide includes people killed by landslides and hillslope debris flows (German: Hangmure).
* number of fatalities by rockfall (German: Steinschlag, Fels- und Bergsturz).
* number of fatalities by windstorm (German: Sturm). Windstorm includes people killed by falling objects or trees during very strong wind conditions and people who drowned in lakes because their boat capsized during such conditions.
* number of fatalities by lightning (German: Blitz).
* number of fatalities by ice avalanche (German: Eislawine).
* number of fatalities by earthquake (German: Erdbeben).
* number of fatalities by other processes like roof avalanche, lacustrine tsunami (German: andere Prozesse wie Dachlawine, Tsunami im See).

The data was collected based on newspaper research. For more information please refer to

_Badoux, A., Andres, N., Techel, F., and Hegg, C.: Natural hazard fatalities in Switzerland from 1946 to 2015, Nat. Hazards Earth Syst. Sci., 16, 2747-2768, https://doi.org/10.5194/nhess-16-2747-2016, 2016._

The data collection is financed by the FOEN (with exception of the collection of the avalanche fatalities). The data contains the official statistics of the FOEN on fatalities due to flood, debris flow, landslide, rock fall and avalanche.

Restrictions: The data set is not complete. Only fatalities in or around settlements and on open transportation routes are included. More precisely, fatalities were not collected, when persons exposed themselves to a great danger on purpose. Or fatalities during leisure activities which are connected to a higher risk were not included (this includes e.g. canoeing or river surfing during flood, canyoning, mountaineering, climbing, walking or driving on a closed road).

Fatalities by avalanches are collected at the WSL Institute for Snow and Avalanche Research SLF. You can download the avalanche fatalities per hydrological year [here](https://www.envidat.ch/dataset/avalanche-fatalities-switzerland-1936) and per calendar year [here](https://www.envidat.ch/dataset/avalanche-fatalities-per-calendar-year-since-1936). For a direct comparison with the fatalities presented here, please download the data set with the calendar years and do not consider fatalities in the backcountry (tour) or in terrain close to ski areas (offpiste).

debris-flow-fatalities

display_name: debris-flow-fatalities

earthquake-fatalities

display_name: earthquake-fatalities

flood-fatalities

display_name: flood-fatalities

ice-avalanche-fatalities

display_name: ice-avalanche-fatalities

landslide-fatalities

display_name: landslide-fatalities

lightning-fatalities

display_name: lightning-fatalities

natural-hazard-fatalities

display_name: natural-hazard-fatalities

rockfall-fatalities

display_name: rockfall-fatalities

windstorm-fatalities

display_name: windstorm-fatalities

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.

key: uri

value: Envidat Harvester

en: Number of natural hazard fatalities per year in Switzerland since 1946


en: meteorological-data swiss-forest-lab forest plot lwf meteorological-measurements infrastructure

en: Nationalpark Meteorological Data LWF

en: LWF plot Nationalpark. Photo: Oliver Schramm, 2011

en:
![alt text](https://www.envidat.ch/dataset/4a0ff376-83d2-4ae4-bf2e-c361eb050778/resource/51e98f2d-5524-4ea6-babb-9df0b9aba8f1/download/lwf_nationalpark.jpg "LWF Nationalpark")

LWF Plot Nationalpark

- Community: Zernez / canton GR
- Date of installation: 10 October 1995
- Size of the plot: 2 ha
- Altitude: 1890-1907 m
- Mean slope: 11%
- Geology (in German): Nacheiszeitlicher Schwemmfächer; kalkhaltige Moräne, Dolomite, Kalke, Tonschiefer, Rauhwacken
- Provisional soil types (WSL): Rendzic Leptosol
- Woodland association after EK72: 67: Erico-Pinetum montanae
- Main tree species: Pinus mugo
- Management system: high forest
- Silvicultural system: forest reserve
- Top-height diameter (quadratic average diameter of the 100 thickest trees per ha): 23.7 cm
- Number of trees BHD >= 12 cm (2011): 2450
- Maximum tree age: Pinus mugo 210 yr

More Information: https://www.wsl.ch/en/forest/forest-development-and-monitoring/long-term-forest-ecosystem-research-lwf/sites/nationalpark.html

forest

display_name: forest

infrastructure

display_name: infrastructure

lwf

display_name: lwf

meteorological-data

display_name: meteorological-data

meteorological-measurements

display_name: meteorological-measurements

plot

display_name: plot

swiss-forest-lab

display_name: swiss-forest-lab

en: LWF Nationalpark long-term research site


en: swiss-forest-lab forest-productivity forest-growth-model callibration forest-biomass 3-pg

en: link to 3PG github R package

en: A package source code (development version).

en: r3PG source files v 0.1.2

en: link to 3PG cran R package

en: A package source code (latest release).

en: An R Computing Software package which provides a flexible and easy-to-use interface for the Physiological Processes Predicting Growth (3-PG) model written in Fortran. The r3PG, a new Fortran implementation of 3-PG, serves as a flexible and easy-to-use interface for the 3-PGpjs (monospecific, evenaged and evergreen forests) described in Landsberg & Waring (1997) <doi:10.1016/S0378-1127(97)00026-1> and the 3-PGmix (deciduous, uneven-aged or mixed-species forests) described in Forrester & Tang (2016) <doi:10.1016/j.ecolmodel.2015.07.010>.

callibration

display_name: callibration

forest-biomass

display_name: forest-biomass

forest-growth-model

display_name: forest-growth-model

forest-productivity

display_name: forest-productivity

en: r3PG – An r package for simulating forest growth


en:
Volume of stemwood with bark of all trees and shrubs starting at 12 cm dbh removed from the forest between two inventories due to damage that occurred, in this case windthrow, and not due to silvicultural planning. This theme is derived on the level of a sample plot from the cuttings of the sample trees and the salvage cut proportion (according to information from the forester).  The correction for bias with the sample Tarif trees may be so drastic that it results in negative values with small numbers of trees.

Citation:
 > _Abegg, M.; Brändli, U.-B.; Cioldi, F.; Fischer, C.; Herold-Bonardi, A.; Huber M.; Keller, M.; Meile, R.; Rösler, E.; Speich, S.; Traub, B.; Vidondo, B. (2014). Fourth national forest inventory - result tables and maps on the Internet for the NFI 2009-2013 (NFI4b). [Published online 06.11.2014] Available from World Wide Web http://www.lfi.ch/resultate/ Birmensdorf, Swiss Federal Research Institute WSL. [doi:10.21258/1057112](https://doi.org/10.21258/1057112)_

altitudinal-vegetation-zone

display_name: altitudinal-vegetation-zone

biogeographical-region

display_name: biogeographical-region

economic-region

display_name: economic-region

production-region

display_name: production-region

protection-forest-region

display_name: protection-forest-region

salvage-logging-due-to-wind

display_name: salvage-logging-due-to-wind

educ

en: Education, culture and sport

en: Salvage logging due to wind


en: swiss-forest-lab wdb ozone long-term-forest-ecosystem-research long-term-monitoring

en: Data request

en: In order to quantify effects of ozone on Swiss forest ozone flux calculations are needed. Currently 5 stations are operated to measure the ozone load on forests. These data form the basis for ozone flux calculations. The ozone flux calculation is carried out with the DO3SE model (Büker et al. 2012). This can then be used for epidemiological evaluations for the Swiss forest (Thomas et al. 2005, Braun et al. 2014, Braun et al. 2017, Braun et al. 2020, Braun et al. 2021, Braun et al. 2022).

long-term-forest-ecosystem-research

display_name: long-term-forest-ecosystem-research

long-term-monitoring

display_name: long-term-monitoring

ozone

display_name: ozone

wdb

display_name: wdb

envidat

en: EnviDat: the Environmental Data Portal

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

en: Ozone measurement and analysis in the Intercantonal Forest Observation Program


en: connectivity planning-principles strategic-planning multifunctionality green-infrastructure

en: Results of the coding on general aspects regarding the strategic plans of urban regions as well as extracts from each plan to justify the coding option – this data was derived from the coding procedure corresponding to items from 5 to 11 of the protocol. The data was discussed qualitatively in the research paper.

en:
The present dataset is part of the published scientific paper Grădinaru, S. R., & Hersperger, A. M. (2019). Green infrastructure in strategic spatial plans: Evidence from European urban regions. Urban forestry & urban greening, 40, 17-28.
The goal of this research was to conduct a comparative analysis of the integration of green infrastructure concept in strategic spatial plans of European Urban regions. Specifically, the paper has the following objectivs: 1) which principles of GI planning are followed in strategic plans of urban regions? 2) can we identify different approaches to GI integration into strategic planning?. The study focues on a sample consisting of 14 case studies spanning 11 countries. We retrieved the strategic plans from the websites of the planning authorities. The list of the reviewed planning documents can be found in Appendix A of the paper. A protocol was developed to perform the content analysis of the strategic plans and gather the data. The detailed list of protocol items can be found in Appendix B of the paper.
The planning documents were read in order to address the protocol items. The answer to the protocol items in each of the first two categories (items 1–11) was documented as text, while the answer for the third category, namely items addressing the planning principles (items 12–36), was coded according to Table 1 of the article. As a result, we provide the folowing outputs:
•	GI_Dataset_1_Items_1-12.xlsx – available on request
o	Results of the coding on general aspects regarding the strategic plans of urban regions as well as extracts from each plan to justify the coding option – this data was derived from the coding procedure coresponding to items from 1 to 12 of the protocol. The data was discussed qualitativly in the research paper.
•	GI_Dataset_2_Items_12-36.csv – freely available
o	Results of the coding on principles of GI planning followed in strategic plans of urban regions– this data was derived from the coding procedure coresponding to items from 12 to 36 of the protocol. The data served as input for the classifications performed through hierarchical cluster analysis. This data is a detailed version of Appendix C in the paper.

connectivity

display_name: connectivity

green-infrastructure

display_name: green-infrastructure

multifunctionality

display_name: multifunctionality

planning-principles

display_name: planning-principles

strategic-planning

display_name: strategic-planning


lwf-isone-long-term-research-site

title_for_slug: lwf-isone-long-term-research-site

en: lwf plot infrastructure swiss-forest-lab meteorological-data forest meteorological-measurements

en: LWF plot Isone. Photo: Anne Thimonier Rickenmann, 2011

en: Isone Meteorological Data LWF

en:
![alt text](https://www.envidat.ch/dataset/f4b44f60-4eed-471f-a09e-749a0f5f0683/resource/cb8e84ea-ad8b-476e-be32-e02a927d2449/download/lwf_isone.jpg "LWF Isone")

LWF Plot Isone

- Community: Isone / canton TI
- Date of installation: 5 September 1995
- Size of the plot: 2 ha
- Altitude (m): 1181-1259
- Mean slope: 58%
- Geology (in German): Untergrund: Südalpin, präpermisches Grundgebirge, Ceneri Zone; schiefriger Biotitplagioklasgneis - Oberfläche: Quartär; Moräne, Hängeschutt-.
- Provisional soil type (WSL) : Humic Cambisol
- Woodland association after EK72: 4: Luzulo niveae-Fagetum dryopteridetosum
- Main tree species: Fagus sylvatica
- Management system: former coppice
- Silvicultural system: unmanaged
- Top-height diameter (quadratic average diameter of the 100 thickest trees per ha): 37.4 cm
- Number of trees BHD >= 12 cm (2011): 1254
- Maximum tree age: Fagus sylvatica uneven-aged - 70-85-100 yr

More Information: https://www.wsl.ch/en/forest/forest-development-and-monitoring/long-term-forest-ecosystem-research-lwf/sites/isone.html

forest

display_name: forest

infrastructure

display_name: infrastructure

lwf

display_name: lwf

meteorological-data

display_name: meteorological-data

meteorological-measurements

display_name: meteorological-measurements

plot

display_name: plot

swiss-forest-lab

display_name: swiss-forest-lab

en: LWF Isone long-term research site


en: numerical-avalanche-forecasting machine-learning avalanche-danger-level avalanche-forcasting avalanche

en: README

en: This read-me file contains the descriptions of the variables

en: This subset of data includes the meteorological variables (resampled 24-hour averages) and the profile variables extracted from the simulated profiles for each of the weather stations of the IMIS network in Switzerland, and, the quality-controlled danger ratings for dry-snow avalanche conditions forecast in Switzerland.

en: This data set includes the meteorological variables (resampled 24-hour averages) and the profile variables extracted from the simulated profiles for each of the weather stations of the IMIS network in Switzerland, and, the danger ratings for dry-snow conditions assigned in the Swiss avalanche bulletin to the location of the weather station.

en:
Each set includes the meteorological variables (resampled 24-hour averages) and the profile variables extracted from the simulated profiles for each of the weather stations of the IMIS network in Switzerland, and, the danger ratings for dry-snow conditions assigned to the location of the station. The data set of RF 1 contains the danger ratings published in the official Swiss avalanche bulletin, and the data set of RF 2 is a quality-controlled subset of danger ratings.
These data are the basis of the following publication: Pérez-Guillén, C., Techel, F., Hendrick, M., Volpi, M., van Herwijnen, A., Olevski, T., Obozinski, G., Pérez-Cruz, F., and Schweizer, J.: Data-driven automated predictions of the avalanche danger level for dry-snow conditions in Switzerland, Nat. Hazards Earth Syst. Sci., 22, 2031–2056, https://doi.org/10.5194/nhess-22-2031-2022, 2022.

avalanche

display_name: avalanche

avalanche-danger-level

display_name: avalanche-danger-level

avalanche-forcasting

display_name: avalanche-forcasting

machine-learning

display_name: machine-learning

numerical-avalanche-forecasting

display_name: numerical-avalanche-forecasting

en: Weather, snowpack and danger ratings data for automated avalanche danger level predictions


en: monitoring air-pollution forest long-term-monitoring long-term-forest-ecosystem-research

en: FORECOMON – Proceedings

media_type: application/pdf

en: Latest version

format: PDF

en: Link to Proceedings in DORA WSL

en: Deprecated version 1.0

en: First version of the proceedings containing errors. This early version it is kept, for traceability purposes, in conformance with DOI rules.

en:
Forest monitoring to assess forest functioning under air pollution and climate change. Proceedings.
FORECOMON 2021 - the 9th forest ecosystem monitoring conference.
7-9 June 2021, WSL, Birmensdorf, Switzerland

The goal of FORECOMON 2021 is to highlight the extensive ICP Forests data series on forest growth, phenology and leaf area index, biodiversity and ground vegetation, foliage and litter fall, ambient air quality, deposition, meteorology, soil and crown condition. We combine novel modeling and assessment approaches and integrate long-term trends to assess air pollution and climate effects on European forests and related ecosystem services. Latest results and conclusions from local scale to European scale studies will be presented and discussed.

Copyright © 2021 by WSL, Birmensdorf
The authors are responsible for the content of their contribution.

air-pollution

display_name: air-pollution

long-term-forest-ecosystem-research

display_name: long-term-forest-ecosystem-research

long-term-monitoring

display_name: long-term-monitoring

monitoring

display_name: monitoring

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

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

en: Forest monitoring to assess forest functioning under air pollution and climate change. Proceedings. FORECOMON 2021 - the 9th forest ecosystem monitoring conference. 7–9 June 2021, Birmensdorf, Switzerland


lwf-lausanne-long-term-research-site

title_for_slug: lwf-lausanne-long-term-research-site

en: forest swiss-forest-lab meteorological-data lwf infrastructure plot meteorological-measurements

en: LWF plot Lausanne. Photo: Anne Thimonier Rickenmann, 2019

en: Lausanne Meteorological Data LWF

en:
![alt text](https://www.envidat.ch/dataset/9f35f697-a226-4719-aefd-b8c96fe5ae7c/resource/d6a48c12-62e6-4c04-9f63-a84d5964bc55/download/lwf_lausanne.jpg "LWF Lausanne")

LWF Plot Lausanne

- Community: Lausanne / canton VD
- Date of installation: 5 September 1994
- Size of the plot: 2 ha
- Altitude: 800-814 m
- Mean slope: 7%
- Geology (in German): Untergrund: Tertiär, Miozän, Burdigalien, obere Meeresmolasse; Sandstein - Oberfläche: Quartär, Würm; würmeiszeitliche Moräne
- Soil types (WSL) : Distric Cambisols
- Woodland association after EK72: 8: Milio-Fagetum
- Main tree species: Fagus sylvatica
- Management system: high forest
- Silvicultural system: group selection
- Top-height diameter (quadratic average diameter of the 100 thickest trees per ha): 59.9 cm
- Number of trees BHD >= 12 cm (2011): 650
- Maximum tree age: Abies alba 160-170 yr - Picea abies 160-170 yr - Fagus sylvatica 160-170 yr

More Information: https://www.wsl.ch/en/forest/forest-development-and-monitoring/long-term-forest-ecosystem-research-lwf/sites/lausanne.html

en: LWF Lausanne long-term research site


ist-daten-actual-data

title_for_slug: ist-daten-actual-data

fr: donnees-reelles proprietaire retard pronostic lmeta train passager donnees autobus ponctualite

de: prognose punktlichkeit ist-daten bus zug daten embag proprietar passagier verspatung

en: actual-data bus train delay forecast passenger punctuality proprietary data

it: dati ritardo dati-effettivi proprietario previsione treno lmeca passaggero puntualita autobus

fr: The actual service provided is displayed. The final forecast is used where no actual data are available.

fr:
Les données réelles contiennent les trajets effectivement effectués le jour précédent ou le jour correspondant. Les données réelles sont soit des données réelles effectives, soit la dernière prévision reçue par le système d'information des clients. Si aucune information en temps réel n'était disponible, le trajet correspondant manque.

Archives de données reelles: https://opentransportdata.swiss/de/ist-daten-archiv/

en:
The actual data contains the journeys which have actually been completed during the last or relevant day. The actual data is either the effective actual data or last forecast received by the customer information system. If no real-time information was available, the relevant journey is missing.

Actual data Archive: https://opentransportdata.swiss/de/ist-daten-archiv/

de:
Die Ist-Daten enthalten die effektiv gefahrenen Fahrten des letzten bzw. des entsprechenden Tages. Die Ist-Daten sind entweder effektive Ist-Daten oder die letzte Prognose, die das Kundeninformationssystem erhalten hat. Wenn keine Echtzeitinformationen vorhanden waren, so fehlt die entsprechende Fahrt.

Ist-Daten Archiv: https://opentransportdata.swiss/de/ist-daten-archiv/

it:
I dati reali contengono i viaggi effettivi effettuati nell'ultimo giorno o nel giorno corrispondente. I dati effettivi sono quelli reali o l'ultima previsione ricevuta dal sistema informativo del cliente. Se non sono disponibili informazioni in tempo reale, manca il viaggio corrispondente.

Archivio dati reale: https://opentransportdata.swiss/de/ist-daten-archiv/

oevch

fr: Secrétariat des tâches du système d’information à la clientèle (CFF SA)

de: Geschäftsstelle Systemaufgaben Kundeninformation (SBB AG)

en: Business office of Customer Information System Tasks (SBB CFF FFS)

it: Servizio commerciale Attività di sistema Informazione alla clientela (FFS SA)

fr: Le Secrétariat des tâches du système d’information à la clientèle (SKI) publie pour le compte de l’OFT les données de l’ensemble des transports publics de Suisse.

de: Die Geschäftsstelle Systemaufgaben Kundeninformation (SKI) veröffentlicht im Auftrag des BAV die Daten des gesamten öffentlichen Verkehrs der Schweiz

en: Working on behalf of the Swiss Federal Office of Transport (FOT), the Customer Information System Tasks (SKI) business office publishes data on all public transport in Switzerland


en: plot-size biodiversity monitoring national-forest-inventory europe species-richness

en: Mega-plot data from Norway, Spain, Slovakia, Switzerland

en:
The mega-plot data consist in a single .RDS file containing 10 columns, where each row represents a mega-plot:
- "Country": refers to either "Spain", "Norway", "Switzerland" or "Slovakia"
- "Single_plot_size": refers to the size of the plots used in the aggregation process to make the mega-plots. The largest value within each country refers to the orignial plot size of each NFI, while the smaller values within each country refers to the downscaled datasets. The analyses were performed independently for each "Country" and "Single_plot_size", so these should not be analysed together.
- "n_plots": refers to the number of plots aggregated
- "A_megaplot": area of the mega-plots (sum of the area of all the aggregated plots). It equals "Single_plot_size" multiplied by "n_plots".
- "SR": Species richness of the mega-plot
- "Hclim": EH variable, corresponds to the climate heterogeneity value of the mega-plot, based on mean annual temperature and annual precipitation
- "Htopo": EH variable, corresponds to the topographic heterogeneity value of the mega-plot, based on slope and Beers aspect
- "Hsoil": EH variable, corresponds to the soil heterogeneity value of the mega-plot, based on soil pH
- "Hba": EH variable, corresponds to the basal area heterogeneity value of the mega-plot
- "Hres": residual environmental heterogeneity

To fit our models, all EH variables have been standardised. In this dataset, EH variables are provided before standardisation (raw).

en:
The data file refers to the data used in Portier et al. "Plot size matters: towards comparable species richness estimates across plot-based inventories" (2022) *Ecology and Evolution*.

This paper describes a methodoligical framework developed to allow meaningful species richness comparisons across plot-based inventories using different plot sizes. To this end, National Forest Inventory data from Switzerland, Slovakia, Norway and Spain were used. NFI plots were aggregated into mega-plots of larger sizes to build rarefaction curves. The data stored here correspond to the mega-plot level data used in the analyses, including for each country the size of the mega-plots in square meters (A), the corresponding species richness (SR) as well as all enrionmental heterogeneity measures described in the corresponding paper. Mega-plots of country-specific downscaled datasets are also provided.

The raw data from the Swiss NFI can be provided free of charge within the scope of a contractual agreement (http://www.lfi.ch/dienstleist/daten-en.php). Contact details for data requests from all NFIs can be found in the ENFIN website (http://enfin.info/).

biodiversity

display_name: biodiversity

europe

display_name: europe

national-forest-inventory

display_name: national-forest-inventory

plot-size

display_name: plot-size

species-richness

display_name: species-richness

educ

de: Bildung, Kultur und Sport

en: Towards comparable species richness estimates across plot-based inventories - data


maintainer: EnviDat Support

en: taxonomic-diversity functional-diversity species-distribution-models beta-diversity conservation plants zonation migclim land-use-change european-alps phylogenetic-diversity global-change

en: Data Access

format: GeoTIFF

en:
This repository contains extensive data for the European Alps:
  - Observations of ~3,500 plant species
  - Climate (1-km), soil (100-m) and land cover predictors (1km); current and future scenarios (28 CMIP6-GCMs, 2 land cover change and 3 dispersal scenarios i.e., unlimited, no and realistic vegetation dispersal)
  - Flora migration rates (categorical) and ecological preferences (continuous indicator values)
  - Regional maps of barriers to migration and water bodies at 100-m resolution
  - Sampling effort, distance to roads and cities predictors at 100-m resolution
  - Present and future abundances over the study region at 1-km resolution (~2,000 species)
  - Present and future multifaceted and uniqueness of the European Alps' Flora at 1-km resolution
  - Present and future conservation recommendations at 1-km resolution (26 current and future strategies)
  - Phylogenetic data and functional traits of ~2,000 plants (raw data and classification trees)
  - All scripts, data and plots used for the analyses, including a singularity container (mini-linux) to run them

beta-diversity

display_name: beta-diversity

conservation

display_name: conservation

european-alps

display_name: european-alps

functional-diversity

display_name: functional-diversity

global-change

display_name: global-change

land-use-change

display_name: land-use-change

migclim

display_name: migclim

phylogenetic-diversity

display_name: phylogenetic-diversity

plants

display_name: plants

species-distribution-models

display_name: species-distribution-models

taxonomic-diversity

display_name: taxonomic-diversity

zonation

display_name: zonation

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: Present and future multifaceted plant diversity, uniqueness and conservation in the European Alps


maintainer: Joan Casanelles Abella

en: tartu floral-resources poznan floral-inventories angiospermae antwerp zurich paris plants urban

en: List of plant species sampled in the five cities (Antwerp, Paris, Poznan, Tartu and Zurich) during the different sampling perionds (four for Zurich, three for the other cities) with their frequency (oc1-oc16) within a 100 m radius

en: Trait values for the sampled plants

en: Floral units, mean number of flowers per floral unit and floral abundance of the different plants counted in quadrats in the study sites in Zurich during the four sampling periods

en: Data of a survey of flowering plants in 80 sites in five European cities and urban agglomerations (Antwerp, Belgium; greater Paris, France; Poznan, Poland; Tartu, Estonia; and Zurich, Switzerland) sampled between April and July 2018.

angiospermae

display_name: angiospermae

antwerp

display_name: antwerp

floral-inventories

display_name: floral-inventories

floral-resources

display_name: floral-resources

paris

display_name: paris

poznan

display_name: poznan

tartu

display_name: tartu

urban

display_name: urban

zurich

display_name: zurich

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: Flowering Plants (Angiospermae) in Urban Green Areas in five European Cities


increment

title_for_slug: increment

en:
Increase in the volume of stemwood with bark of the trees and shrubs starting at 12 cm dbh that have survived between two inventories and of the losses (modelled for the half period), plus the volume of the gains. The correction for bias with the sample Tarif trees may be so drastic that it results in negative values with small numbers of trees.

Citation:
 > _Abegg, M.; Brändli, U.-B.; Cioldi, F.; Fischer, C.; Herold-Bonardi, A.; Huber M.; Keller, M.; Meile, R.; Rösler, E.; Speich, S.; Traub, B.; Vidondo, B. (2014). Fourth national forest inventory - result tables and maps on the Internet for the NFI 2009-2013 (NFI4b). [Published online 06.11.2014] Available from World Wide Web http://www.lfi.ch/resultate/ Birmensdorf, Swiss Federal Research Institute WSL. [doi:10.21258/1057112](https://doi.org/10.21258/1057112)_

altitudinal-vegetation-zone

display_name: altitudinal-vegetation-zone

avalanches-silvaprotect

display_name: avalanches-silvaprotect

biogeographical-region

display_name: biogeographical-region

conifers-broadleaves

display_name: conifers-broadleaves

economic-region

display_name: economic-region

increment

display_name: increment

landslide-mudflow-silvaprotect

display_name: landslide-mudflow-silvaprotect

lower-higher-altitudinal-zones

display_name: lower-higher-altitudinal-zones

main-tree-species

display_name: main-tree-species

ownership

display_name: ownership

potential-cost-for-timber-harvesting

display_name: potential-cost-for-timber-harvesting

processes-in-channels-silvaprotect

display_name: processes-in-channels-silvaprotect

production-region

display_name: production-region

protection-forest-region

display_name: protection-forest-region

rockfall-silvaprotect

display_name: rockfall-silvaprotect

site-quality

display_name: site-quality

stage-of-stand-development

display_name: stage-of-stand-development

tree-species-woody-species

display_name: tree-species-woody-species

en: Increment


maintainer: Fachstelle Open Data Mobilität Schweiz

fr: hrdf horaire train ligne lmeta organisation-commerciale halte passager telepheriques autobus prestataire-de-mobilite donnees moyen-de-transport voyage

de: passagier zug hrdf verkehrsmittel embag geschaftsorganisation haltestelle linie mobilitatsdienstleister seilbahn fahrplan bus daten fahrt

en: train line hrdf cableways bus mode-of-transportation timetable stop passenger data business-organisation journey mobility-service-provider

it: mezzo-di-trasporto viaggio linea organizzazione-aziendale lmeca hrdf autobus fermata funivie treno passaggero fornitore-di-servizi-di-mobilita orario dati

label: Anpassung Realisierungsvorgaben HRDF 2.0.5: Neuer Release Anfang 2024

label: Wichtigste Anpassungen Realisierungsvorgaben 2024 auf einen Blick

fr: ATTENTION : Certaines données sont manquantes pour cet ensemble de données. Un nouvel export est disponible sous https://opentransportdata.swiss/de/dataset/timetable-54-2023-hrdf/resource/abc5350e-d9ea-4e22-a217-f7203fe6264c.

en: PLEASE NOTE: Certain data is missing from this data set. A new export is available at https://opentransportdata.swiss/de/dataset/timetable-54-2023-hrdf/resource/abc5350e-d9ea-4e22-a217-f7203fe6264c.

de: ACHTUNG: Bei diesem Datensatz fehlen gewisse Daten. Unter https://opentransportdata.swiss/de/dataset/timetable-54-2023-hrdf/resource/abc5350e-d9ea-4e22-a217-f7203fe6264c steht ein neuer Export zur Verfügung.

it: ATTENZIONE: In questo set di dati mancano alcuni dati. Una nuova esportazione è disponibile su https://opentransportdata.swiss/de/dataset/timetable-54-2023-hrdf/resource/abc5350e-d9ea-4e22-a217-f7203fe6264c.

fr: Attention : cet ensemble de données contient des données avec des coordonnées erronées. Dans l'exportation du 16.03.2023, elles sont correctes.

en: Attention: In this dataset there is data with wrong coordinates. In the export of 16.03.2023 they are correct.

de: Achtung: In diesem Datensatz sind Daten mit falschen Koordinaten enthalten. Im Export des 16.03.2023 sind sie korrekt.

it: Attenzione: questo set di dati contiene dati con coordinate errate. Sono corrette nell'esportazione del 16.03.2023.

fr:
L’horaire comprend les éléments topologiques et temporels fondamentaux permettant la représentation de l’horaire et la fourniture d’informations à ce sujet. L’horaire est fourni au format de données brutes HAFAS (HRDF).

Remarque : Adaptation des directives de réalisation HRDF 2.0.5 : Nouvelle version le 16.01.2024. Pour plus de détails, voir "Autres informations".

Nous mettons à votre disposition un ensemble de données de test avec les nouvelles adaptations: https://opentransportdata.swiss/fr/dataset/testfile-hrdf-rv2-0-5

en:
The timetable contains the essential topological and temporal elements that enable timetable display and information. The timetable is provided in the HAFAS raw data format (HRDF).

Note: Adaptation of realisation specifications HRDF 2.0.5: New release on 16.01.2024. For details see "Further information".

We provide you with a test data set with the new adjustments: https://opentransportdata.swiss/en/dataset/testfile-hrdf-rv2-0-5

de:
Der Fahrplan enthält die grundlegenden topologischen, sowie die zeitlichen Element, die eine Fahrplandarstellung und -auskunft ermöglichen.

Hinweis: Anpassung Realisierungsvorgaben HRDF 2.0.5: Neuer Release am 16.01.2024. Details siehe "Weitere Informationen".

Wir stellen Ihnen einen Testdatensatz mit den neuen Anpassungen zur Verfügung: https://opentransportdata.swiss/de/dataset/testfile-hrdf-rv2-0-5

it:
L’orario contiene l’elemento topologico basilare e anche l’elemento temporale, che consentono la rappresentazione dell’orario e le informazioni sull’orario. L’orario viene messo a disposizione tramite il formato Raw HAFAS (HRDF).

Nota: adattamento delle specifiche di realizzazione HRDF 2.0.5: nuova release il 16.01.2024. Per i dettagli, vedere "Ulteriori informazioni".

Vi forniremo un set di dati di prova con le nuove regolazioni: https://opentransportdata.swiss/it/dataset/testfile-hrdf-rv2-0-5

oevch

en: Business office of Customer Information System Tasks (SBB CFF FFS)

en: Working on behalf of the Swiss Federal Office of Transport (FOT), the Customer Information System Tasks (SKI) business office publishes data on all public transport in Switzerland

it: Il servizio commerciale Attività di sistema Informazione alla clientela (SKI) pubblica, per conto dell’UFT, i dati di tutto il trasporto pubblico in Svizzera.


en: icp-forests dendrochronology swiss-forest-lab stand-history long-term-forest-ecosystem-research dominant-trees tree-ring-width

en: Data Request

en:
Two stem core samples of 12 to 20 trees outside the plot of each main species in the plot were taken at breast height (1.3 m above ground) with a SUUNTO corer. Tree ring width and density were determined with the instruments CATRAS and TSAP, the Densitometer DENDRO 2003 and a stereo-microscope. The selected trees included at least 12 pre-dominant or dominant trees and if possible also 4 subdominant or surpressed trees. NOTE: The samplings were carried out between 1996 and 1999 for most plots and in 2003 for the plot Lantsch. The cores cover a time span depending on the age of the oldest trees on a plot. On one plot the oldest sampled tree ring grew in the year 1646.

 Purpose:

Reconstruction of stand history and tree growth

 Manual Citation:

 * Paolo Cherubini, Matthias Dobbertin, 1997: Bestandesgeschichte (Dendrochronologie). In: Peter Brang (ed.), Aufnahmeanleitung LWF. Langfristige Waldökosystem-Forschung LWF, Eidg. Forschungsanstalt WSL, Birmensdorf, 3 S.

 * Cherubini, P.; Dobbertin, M., 1998: The Swiss long-term forest ecosystem research: methods for reconstructing forest history. In: Borghetti, M. (ed): Società Italiana di Selvicoltura ed Ecologia Forestale (SISEF), Atti I: 19-22.

 Paper Citation:

 * Cherubini, P., Fontana, G., Rigling, D., Dobbertin, M., Brang, P., Innes, J.L., 2002. Tree-life history prior to death: two fungal root pathogens affect tree-ring growth differently. J. Ecol. 90, 839-850.

dendrochronology

display_name: dendrochronology

dominant-trees

display_name: dominant-trees

icp-forests

display_name: icp-forests

long-term-forest-ecosystem-research

display_name: long-term-forest-ecosystem-research

stand-history

display_name: stand-history

swiss-forest-lab

display_name: swiss-forest-lab

tree-ring-width

display_name: tree-ring-width

educ

fr: Éducation, culture et sport

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: Dendrochronological analyses of tree core samples (dominant trees) LWF


en: snow-depth climate homogenisation break-detection snow-measurements

en: ACMANT HSavg

en: Climatol dHS1

en: HOMER dHS1

en: Input files for HOMER

en: Climatol HSavg

en: HOMER HSavg

en: Station list

en: List of stations used in this study. This file also serves as the station input file for HOMER

en: Station relocations

en: Metadata compiled from various sources

en: Breakpoints (R data file)

en: Break points detected by all three methods and draft metadata table

en: ACMANT dHS1

en:
Data set consists of monthly mean values for snow depth and days with snow on the ground intended for the use of break detection with ACMANT, Climatol and HOMER. List and coordinates of stations used as well as metadata and break detection results from all three methods is included.

 Columns
Monthly means for each hydrological year: Nov, Dec, Jan, Feb, Mar, Apr with May to Oct set to zero

break-detection

display_name: break-detection

climate

display_name: climate

homogenisation

display_name: homogenisation

snow-depth

display_name: snow-depth

snow-measurements

display_name: snow-measurements

en: Input data for break point detection of Swiss snow depth time series


en: snow-melt snow-cover-fraction snow-water-equivalent operational-snow-hydrological-service snow-climatology

en: Data package

en: This dataset comprises the climatology on gridded data of snow water equivalent and snow melt runoff spanning 1998-2022, with a spatial resolution of 1 km and daily temporal resolution. This data was produced with the conceptual OSHD model (Temperature Index Model).

operational-snow-hydrological-service

display_name: operational-snow-hydrological-service

snow-climatology

display_name: snow-climatology

snow-cover-fraction

display_name: snow-cover-fraction

snow-melt

display_name: snow-melt

snow-water-equivalent

display_name: snow-water-equivalent

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

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

en: Climatological snow data since 1998, OSHD


en: precipitation temperature-profiles wind radiation atmospheric-conditions

en: DATA ACCESS

en: This data access is outdated and has been replaced with an updated version (see description).

en: Site photo 3

en: This site photo is outdated and has been replaced with an updated version (see description).

en: README

media_type: text/plain

en: This description is outdated and has been replaced with an updated version (see description).

format: TXT

en: Site photo 2

en: Site photo 1

en: Latest data from Stillberg climate station

en: This dataset is outdated and has been replaced with an updated version (see description).

en: STB2 CSV

en: Overview plot

media_type: image/png

en: This overview plot is outdated and has been replaced with an updated version (see description).

format: PNG

en:
 Important

This EnviDat entry is outdated. The most recent, usable version of the data can be found under the new EnviDat entry "Long-term meteorological station Stillberg, Davos, Switzerland at 2090 m a.s.l.." The entry can be found under this link <https://www.envidat.ch/dataset/meteo-stillberg> and with this DOI https://doi.org/10.16904/envidat.396.

atmospheric-conditions

display_name: atmospheric-conditions

precipitation

display_name: precipitation

radiation

display_name: radiation

temperature-profiles

display_name: temperature-profiles

wind

display_name: wind

en: Long-term meteorological and snow station at 2090 m a.s.l., Stillberg, Davos, Switzerland (1975 - present)


en: spei drought-stress grapevine-yellows dendroecology southern-switzerland

en: Dataset 1

en: Sample identification, symptomatology (symptomatic vs. asymptomatic), coordinates (CH1903), phloem disarrangement class, drought-sensitivity, slope sector.

en: Dataset 2. Ring width.

en:
Ring width measured with cellSens from slides.
Measures expressed as [μm] and arranged per ID (see dataset 1) and year.

en:
Dataset collected from dendroecological study on trunks of grapevines ('Chardonnay' cv.) infected by the "Flavescence dorée" phytoplasma (FDp) in Origlio (southern Switzerland) in 2019-2020. Ring widths were measured with cellSens (Olympus Corporation). Calculations and analysis were conducted within R.
The Flavescence dorée phytoplasma (FDp) causes a severe grapevine (Vitis vinifera) disease. Anatomical modification due to FDp infections are known to occur but research so far focused on stems and leaf tissues and, in particular, on their phloem structure. In this paper, we applied dendrochronological techniques on wood rings and analysed the anatomical structures of the trunk of the susceptible grapevine cultivar ‘Chardonnay’ in order to verify their response to FDp infections.
In this study, we tested the impact of FDp and drought stress on xylem ring width and also described phloem anomalies inside the trunk of grapevines. We concluded that drought and FDp infection both have a significant effect on ring width reductions and that FDp supersedes the effect of drought conditions (calculated after the SPEI index) in infected specimens.

dendroecology

display_name: dendroecology

drought-stress

display_name: drought-stress

grapevine-yellows

display_name: grapevine-yellows

southern-switzerland

display_name: southern-switzerland

spei

display_name: spei

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

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

en: Impact of the “Flavescence dorée” phytoplasma on xylem growth and phloem anomalies in trunks of ‘Chardonnay’ grapevines (Vitis vinifera)


snow-drift-station-flowcapt

maintainer: Benjamin Walter

title_for_slug: snow-drift-station-flowcapt

en: acoustic-mass-flux snow-blowing snowdrift raclets wind-speed flowcapt

en: avergaged mass flux

en: Average mass flux of 10 min measurement interval. The Cycle duration is 1 min which includes 6 s observation and 54 s stand-by. The time is given in UTC+1.

format: XLS

en: maximum mass flux

en: The data file contains the maximum mass flux of 10 minute intervalls. The duration of one cycle was 1 min and contained 6s observations and 54 s stand-by. The time is given in UTC+1.

en: minimum mass flux

en: The data file contains the minimum mass flux of 10 minute intervalls. The duration of one cycle was 1 min and contained 6s observations and 54 s stand-by. The time is given in UTC+1.

en: maximum wind speed

en: The data file contains the maximum wind speed in 10 minute intervalls. The duration of one cycle was 1 min and contained 6 s observations and 54 s stand-by. The time is given in UTC+1.

en: minimum wind spees

en: The data file contains the minimum wind speed in 10 minute intervalls. The duration of one cycle was 1 min and contained 6s observations and 54 s stand-by. The time is given in UTC+1.

en: average wind speed

en: The data file contains the average wind speed in 10 minute intervalls. The duration of one cycle was 1 min and contained 6s observations and 54 s stand-by. The time is given in UTC+1.

en: The FlowCapt is an ultra-robust instrument measuring solid particle acoustic mass - flux intensities (g m‾ ² s‾ ¹) and wind speeds (m s‾ ¹). It was deployed at Gotschnagrat (LON: 46.859 LAT: 9.849). The vertical tube with a length of 1 m monitors snowdrift and snow-blowing; and is mounted at a height between 0.1 an 1.1 m above snow surface. The time within each data set is given in UTC+1.

acoustic-mass-flux

display_name: acoustic-mass-flux

flowcapt

display_name: flowcapt

raclets

display_name: raclets

snow-blowing

display_name: snow-blowing

snowdrift

display_name: snowdrift

wind-speed

display_name: wind-speed

en: Snow Drift Station - Flowcapt


maintainer: Athanasios Nenes

en: dmt-ccn-chamber raclets sigma-w ccn cloud-modeling supersaturation cloud-droplets hygroscopicity weissfluhjoch

en: CCN data Weissfluhjoch

en:
In-situ CCN measurements were conducted between February 24 and March 8 2019 at Weissfluhjoch. The data file contains:

* Date and time (DD/MM/YYYY hh:mm:ss) in UTC
* Filtered CCN number concentrations (in cmˉ³) measured at 6 discrete supersaturations (SS) ranging from 0.09% to 0.74%. The name of each CCN column is indicative of the SS developed within the instrument.
* Instrument characteristics such as sample temperature (in °C) and pressure (in mbar)
* A code that refers to the reason of filtering.

Missing or filtered CCN values are indicated by "-999", while a declaration of each "Error_code" can be found in the following list:

_Error_code_:

0000: Measurements without error

1000: Period of transient operation after a supersaturation change

2000: Sharp change (decrease) in the room temperature housing the instrument, which induces a reset in column temperature

3000: Irregular values in the room temperature housing the instrument

9999: Missing data

en: Hygroscopicity parameter Weissfluhjoch

en:
The aerosol hygroscopicity parameter is derived combining the CCN and SMPS size distribution data collected between February 24 and March 8 2019 at Weissfluhjoch. The data file contains:

* Date and time (DD/MM/YYYY hh:mm:ss) in UTC
* The instrument supersaturation (SS%)
* The calculated hygroscopicity parameter (kappa)
* The calculated critical dry diameter of the particles (Dcr) in nm.

Missing values are indicated by "-999".

en: Predicted cloud droplet number concentrations Weissfluhjoch

en:
In-situ measurements of aerosol size distributions along with updraft velocities collected from a wind Doppler Lidar are coupled with a state-of-the art droplet activation parameterization (Morales and Nenes, 2014) to determine the cloud droplet number and maximum in-cloud supersaturation that can potentially form over the Weissfluhjoch station between February 24 and March 8 2019. For this, a hygroscopicity parameter of 0.25 is assumed, according to the CCN-derived values. The data file contains:

* Date and time (DD/MM/YYYY hh:mm:ss) in UTC
* The wind-lidar derived standard deviation of updraft velocities (sigma-w) in m/s, used to apply the parameterization employing a single characteristic velocity (Morales and Nenes, 2010)
* The maximum predicted cloud parcel supersaturation (Smax%)
* The total in-situ aerosol number concentration (Naer) in cmˉ³, measured by the SMPS
* The predicted cloud droplet numbers (Nd) in cmˉ³
* The activation fraction (%)

en:
Cloud Condensation Nuclei (CCN) data: A Droplet Measurement Technologies (DMT) single-column continuous-flow streamwise thermal gradient chamber (CFSTGC; Roberts and Nenes, 2005) was deployed at the measurement site Weissfluhjoch (2700 m a.s.l., LON: 9.806475, LAT: 46.832964) to record the in-situ CCN number concentrations between February 24 and March 8 2019 for different supersaturations (SS). To account for the difference between the ambient (~735 mbar) and the calibration pressure (~800 mbar), the SS reported by the instrument is adjusted by a factor of 0.92. The CFSTGC was cycled between 6 discrete SS values ranging from 0.09% to 0.74%, producing a full CCN spectrum every hour. The raw CCN measurements are filtered to discount periods of transient operation and whenever the room temperature housing the instrument changed sufficiently to induce a reset in column temperature. Additional information can be found in Section 2.1.2 [here](https://acp.copernicus.org/preprints/acp-2020-1036/).

Hygroscopicity data: The CCN number concentration measurements were directly related to the size distribution and total aerosol concentration data measured by the Scanning Mobility Particle Size Spectrometer (SMPS) instrument at the same station (https://www.envidat.ch/dataset/aerosol-data-weissfluhjoch) to infer the particles hygroscopicity parameter (kappa). For each SMPS scan, the particles critical dry diameter (Dcr) is estimated by integrating backward the SMPS size distribution, until the aerosol number matches the CCN concentration observed for the same time period as the SMPS scan. Assuming the particle chemical composition is internally mixed, the kappa is determined from Dcr and SS, applying Köhler theory. Additional information can be found in Section 2.2 [here](https://acp.copernicus.org/preprints/acp-2020-1036/).

Predicted cloud droplet numbers: Droplet calculations are carried out with the physically based aerosol activation parameterization of Morales and Nenes (2014), employing the “characteristic velocity” approach of Morales and Nenes (2010). Aerosol size distribution observations required to predict the cloud droplet numbers and maximum in-cloud supersaturation are obtained from the SMPS instrument deployed at Weissfluhjoch. The required vertical velocity measurements are derived from the wind Doppler Lidar (https://www.envidat.ch/dataset/lidar-wind-profiler-data) deployed at Davos Wolfgang and are extracted for the altitude of interest, being 1100 m above ground level for Weissfluhjoch. Additional information can be found in Section 2.3 [here](https://acp.copernicus.org/preprints/acp-2020-1036/).

ccn

display_name: ccn

cloud-droplets

display_name: cloud-droplets

cloud-modeling

display_name: cloud-modeling

dmt-ccn-chamber

display_name: dmt-ccn-chamber

hygroscopicity

display_name: hygroscopicity

sigma-w

display_name: sigma-w

supersaturation

display_name: supersaturation

weissfluhjoch

display_name: weissfluhjoch

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

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

en: CCN, hygroscopicity, predicted cloud droplet numbers Weissfluhjoch


en: land-use-change land-use urbanization landscape-services switzerland modeling statistical-model

en: Scripts for Assessing potential landscape service trade-offs driven by urbanization in Switzerland

en:
Scripts ordered by their main purpose within sequential folders in this ReadMe marked with

Within the folders the capital letters refer to the parallel or sequential use of the scripts; scripts here in ReadMe are marked with

 00_Function Scripts
 Functions.r
Script containing several functions for analyzing statistical models: cohen.kappa, meva.table, D2, max-Tss, plot-TSS

 Service_functions.R
Script containing functions for calculating all services and returning sums (and median for bd and rec) as well as rasters

 01_Data Preparation
 A_AS_raster_preparation.R
Preparation of the land use rasters for the years 1985, 1997, and 2009 based on the original Arealstatistik (AS/ASCH); Assigning our categories and assining new values to all "construction sites" for calibrating the models
For model projection starting point (2009) and for service calculations (all ASCH years) the "other" categories were assigned to the land use categories based on dominant neighbor, so that there were no empty cells
Creation of water & mountainous area raster that stayed stable throughout the projections
Creation of MFH raster (2009), to have as base for all new projection years, as this category never becames any other

 B_Factors_preparation.R
Preparation of the factor rasters that were used to calculate service values per cell (see Table 2): LWfactor, Transportation, Vol, Rivers, Lakes, slope, TWW, Hazard_risk

 B_Predictors_preparation.R
Preparation of the raster of the predictors used for calibrating (ASCH years) and projecting (stable) the transition models that do not depend on the land use categories: Temperature (ASCH years), solar radiation (stable), Public transportation access (stable), Elevation (stable), Workers density (ASCH years), Population change (ASCH transitions)

 B_Regions_preparation.R
Preparation of bioregions as raster to be used to mask asxxxx later to calculated services and land use area just for one region

 C_Pred_proj.R
Projecting the dynamic predictors into the future for projecting the land use transitions with the model: Linear extrapolations for workers densities and population; more detailed extrapolation of temperature (based on data for all stations that matched between the temp table we used for the calibration period and the projections from CS2M, and then making a spatial interpolation for all years based on the interpolation of temperature for all years per station)

 02_Model calibration
 A_Bioreg_pred_corr.R
Calculating correlation between the predictors for each bioregion and land use category, Output are those with too high correlation so that one predictor can be removed from transitions were both predictors occur

 A_trans_numbers_bioreg.R
Calculate transition numbers for each bioregion to decide which transitions to primarily consider

 B_Bioreg_ext_eval.R
Calculating TSS based on the external evaluation for the bioregion transitions that happened often enough to try to model them (calibration data: 85-97, evaluation data: 97-09)

 B_Bioreg_int_eval.R
Calculating TSS based on the internal evaluation for the bioregion transitions that happened often enough to try to model them (calibration data: 70%, evaluation data: 30%)

 C_Bioreg_TSS_analysis.R
Extracting TSS numbers from internal and external evaluation, calculating mean and median for each transition for each region for each evaluation method and saving as csv per region to be able to select only the transitions with high enough model performance

 D_Bioreg_Models_for_prediction.R
Calibration of the models that were then used to project land use transitions into the future; calibrated separately for each bioregion

 E_Residuals_trans_models.R
Calculation of Moran's I statistics to analyze the residuals of the land use transition models

 03_Projections
 A_Bioreg_Projections_run.R
Master script for: Extrapolaitng into the future with the regional models and then assembling for each time step to calculate new AS predictors; Several Outputs: txt file to test for NAs in Predictors, txt file with random seed number for sampling, txt file with times for calculation steps (check progress of script while running), csv sheet with projected transition frequencies, tif-rasters for every region and time step, pdf with raster plot for every region and time step

 04_Service calculation
 A_Bioreg_as_services.R
Calculate services per bioregion for years 1985, 1997, 2009

 A_Service_calculation_bioregions.R
Extracting service numbers(sums) per bioregions for all projection runs and storing them in a list of matrixes to be available for further plotting; can be run for swiss wide projections or regional ones

 05_Analysis
 A_Bioreg_ASCH_development.R
Extracting the occurrence of each category per region for all runs (first part), then for ASCH years, and then plotting them nicely; only works for regional projections

 A_Bioreg_Predictors_importanceD2.R
Calculating D2 for each transition and each considered predictor from bivariate models to get value of importance

 B_Bioreg_Pred_imp_analysis.R
Using calculated D2 to sort Predictors according to their importance for each transition

 A_Bioreg_Spatial_results_analysis.R
Plotting randomly sampled runs for ASCH and services to analyses their spatial development

 A_Bioreg_Transition_numbers_check_v1.R
Analyzing the frequency for all transitions for all regions and producing the point plots for each transition separately

 A_Bioreg_Transition_numbers_check_v2.R
Analyzing percentage and numbers of all transitions but plotting them per region and originating ASCH category

 B_Transition_Analysis.R
Further Analysis of transition numbers

 A_Service_analysis.R
Plotting of the service development for bioregions in several ways for analyzing

mimetype: application/zip

en: Data for Assessing potential landscape service trade-offs driven by urbanization in Switzerland

en:
The provided folder structure follows the set up of the scripts.
Data is only provided when it has been fully produced by us, otherwise dummies are given.
For data that will be produced by one of the scripts, no dummies are given.
The folders may contain sub-folders, which would be filled if the scripts were all run

 00_Analysis_Data
Data produced throughout the process of the calibration and projection that is later needed for analysis

 01_Raw_Data
Primary data from external sources that were used to compile the rasters and numbers used during the calibration and projection of landscape transitions as well as service calculation

 02_Prepared_Data
Data that will be prepared for further use by scripts are put in here
Additionally it contains the parameter sheets for the transition predictors that we compiled

 03_Model_Data
 Model outputs
Folder were the projection models statistics will be saved
 Models
Folder into which the actual transition models will be saved
 Residuals
Folder into which data on models residuals will be saved for future use

 04_Projected_Data
The output of the projections will be saved into this folder

 05_Service_Data
Any service calculations will be saved in here

 06_Results_Analysis
Any Analysis plots and tables as well as intermediate data will be saved here in the respective sub-folder

en:
Data and scripts of publication:

Madleina Gerecke, Oskar Hagen, Janine Bolliger, Anna M. Hersperger, Felix Kienast, Bronwyn Price, Loïc Pellissier (2019) Assessing potential landscape service trade-offs driven by urbanization in Switzerland. Palgrave communications.

Contains land use projections for Switzerland and scripts and data for these projections as well as the calculation of landscape services.

Data Folder:
Contains sub-folder with the data necessary for this study (provided were no copyright issues, otherwise placeholders with descriptions), and folders where produced data may be stored

Scripts Folder:
Contains scripts organized into subfolders depending on their purpose

Note: Some abbreviations within the scripts and data are derived from German words and not English.

land-use

display_name: land-use

land-use-change

display_name: land-use-change

landscape-services

display_name: landscape-services

modeling

display_name: modeling

statistical-model

display_name: statistical-model

switzerland

display_name: switzerland

urbanization

display_name: urbanization

en: Land use projections and services for Switzerland


en: dust hill turbulence snow atmosphere particles deposition

en: preferential deposition patterns of all simulations performed

en: The data consist of matlab files. Each files contains a 2D array with the values of deposition at the surface nodes. Each array has Nx x Ny values. Please refer to the original paper for additional information on the spatial resolution and grid size.

en:
Preferential deposition of snow and dust over complex terrain is responsible for a wide range of environmental processes, and accounts for a significant source of uncertainty in surface mass balances of cold and arid regions. Despite the growing body of literature on the subject, previous studies reported contradictory results on the location and magnitude of deposition maxima and minima. This study aims at unraveling the governing processes of preferential deposition in neutrally stable atmosphere and to reconcile seemingly inconsistent results of previous works. For this purpose, a comprehensive modeling approach is developed, based on large eddy simulations of the turbulent airflow, Lagrangian stochastic model of particle trajectories, and immersed-boundary method to represent the underlying topography. The model performance is tested against wind tunnel measurements of dust deposition around isolated and sequential hills. A scale analysis is then performed to investigate the dependence of snowfall deposition on the particle Froude and Stokes numbers, which fully account for the governing processes of inertia, flow advection, and gravity. Additional simulations are performed, to test whether the often used assumption of inertialess particles yields accurate deposition patterns. We finally show that our scale analysis provides qualitatively similar results for hills with different aspect ratios.

This dataset contains the results of the LES-LSM model. Each Matlab file contains a 2D array of deposition values (in kg/m2) in each surface node (ix, iy) of the Cartesian grid. The file names are consistent with the simulation numbers listed in the original paper. For additional information, please refer to "Preferential deposition of snow and dust over hills: governing processes and relevant scales" by F. Comola, M. G. Giometto, S. T. Salesky, M. B. Parlange, and M. Lehning, Journal of Geophysical Research: Atmospheres, 2019.

atmosphere

display_name: atmosphere

deposition

display_name: deposition

dust

display_name: dust

hill

display_name: hill

particles

display_name: particles

snow

display_name: snow

turbulence

display_name: turbulence


radar-wind-profiler-davos-wolfgang

maintainer: Maxim Hervo

title_for_slug: radar-wind-profiler-davos-wolfgang

en: wolfgangpass wind-direction radar raclets wind-speed

en: Radar Wind Profiler Data

en: A Vaisala Lap3000 was installed at Davos Wolfgang to record wind profiles. The time format is number of days fom January 0, 0000 in UTC with a 10 minute resolution.

en: The RADAR wind profiler from Meteoswiss was installed at Davos Wolfgang (LON: 9.853594, LAT: 46.835577) and measured from 2171 m above sea level to 11079 m, with a temporal resolution of 10 minutes.

raclets

display_name: raclets

radar

display_name: radar

wind-direction

display_name: wind-direction

wind-speed

display_name: wind-speed

wolfgangpass

display_name: wolfgangpass

en: RADAR Wind profiler Davos Wolfgang


forclim

title_for_slug: forclim

en: model swiss-forest-lab forest-dynamics vegetation-height-model tree-growth gap-model

en: ForClim repository and documentation

en: Register for access to current and past releases of ForClim source code, installers, input data, user guides, and technical documentation.

en: ForClim structure

en: Structure of ForClim (adapted from Rasche et al. 2011).

en:
ForClim is a cohort-based model that was developed to analyze successional pathways of various forest types in Central Europe. Following the standard approach of gap models ForClim simulates the establishment; growth and mortality of trees on multiple independent patches (typically n = 200) in annual time steps to derive regional-scale stand dynamics. ForClim is currently parameterized for ca. 180 tree species dominant of temperate forests worldwide. The model has been tested comprehensively for the representation of natural forest dynamics of temperate forests of the Northern Hemisphere, with an emphasis on European forests. ForClim may be freely used under the terms of the "GNU GENERAL PUBLIC LICENSE v3" license.

![alt text](https://www.envidat.ch/dataset/a049e6ad-caac-492a-9771-90856c48ed03/resource/e1c9f03a-2e55-444b-afee-fa1f7f50dee0/download/forclim_4submodels.jpg "ForClim structure")

forest-dynamics

display_name: forest-dynamics

gap-model

display_name: gap-model

model

display_name: model

swiss-forest-lab

display_name: swiss-forest-lab

tree-growth

display_name: tree-growth

vegetation-height-model

display_name: vegetation-height-model

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

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

en: ForClim


en: long-term-forest-ecosystem-research stem-diameter swiss-forest-lab tree-growth icp-forests

en: Data Request

en:
Continuous stem radius measurements to investigate carbon balance and water relations of trees

 Purpose:

Assessment of growth and water related stem changes

icp-forests

display_name: icp-forests

long-term-forest-ecosystem-research

display_name: long-term-forest-ecosystem-research

stem-diameter

display_name: stem-diameter

en: Automated point dendrometer measurements at LWF sites


disdrometer-data-laret

maintainer: Daniel Wolfensberger

title_for_slug: disdrometer-data-laret

en: raclets disdrometer visibility precipitation hydrometeors

en: Disdrometer Data Laret

en: The zip folder contains one netCDF file per day for Laret from February 7 to March 29 2019 with a temporal resolution of 30 seconds (time in UTC). The naming convention for the files is Laret_YYYYMMDD.nc and the files include the following: characteristics of hydrometeors (e.g. diameter, fall velocity, amount per diameter class,...), precipitation rate, radar reflectivity, visibility range, weather codes and instrument performance.

en:
A laser optical disdrometer (Parsivel² , OTT Hydromet) was used to measure hydrometeors by extinction when passing a laser beam. The instrument can classify eight different kinds of precipitation, including rain, hail, snow, drizzle, and hybrid forms.
The dataset contains information on precipitation amount and type for the period of February 7 to March 29 2019 in Laret.

disdrometer

display_name: disdrometer

hydrometeors

display_name: hydrometeors

precipitation

display_name: precipitation

visibility

display_name: visibility


en: biogas switzerland manure review bioenergy

en: Production de biogaz à partir d’engrais de ferme en Suisse

en: L'objectif de ce livre blanc est de fournir aux décideurs, aux administrations et aux parties prenantes les résultats de recherche les plus récents afin de promouvoir l'utilisation optimale de la bioénergie issue des engrais de ferme dans la transition énergétique suisse. A cette fin, les résultats du centre de compétence suisse pour la recherche en bioénergie - SCCER BIOSWEET - sont résumés et présentés dans un contexte plus large. Si rien d'autre n'est mentionné, les résultats se réfèrent à la Suisse et, dans le cas de la matière première, aux potentiels nationaux de biomasse.

bioenergy

display_name: bioenergy

biogas

display_name: biogas

manure

display_name: manure

review

display_name: review

switzerland

display_name: switzerland