baumkataster-baumbestand

de: Der Baumkataster umfasst den durch die Stadtgärtnerei Basel (Gebiet Stadt Basel) und die Gemeinde Riehen (Gebiet Riehen) gepflegten Baumbestand.

de: Baumkataster: Baumbestand

de: baum baumbestand stadtbaum baumschutz unterhalt pflege kataster

kanton-basel-stadt

de: Der Kanton Basel-Stadt veröffentlicht Open Government-Datensätze von kantonalen Ämtern und Dienststellen. **Open Data Basel-Stadt** ist zuständig für die Unterstützung der datenpublizierenden Verwaltungsstellen.

de: Kanton Basel-Stadt

it: Cantone di Basilea-Città

de: Stadtgärtnerei

title_for_slug: baumkataster-baumbestand

de: Regionen und Städte

envi

de: Umwelt

de: Baumkataster: Baumbestand (csv)

de: csv

de: Baumkataster: Baumbestand (json)

de: Baumkataster: Baumbestand (fgb)

de: Baumkataster: Baumbestand (geojson)

de: geojson

de: Baumkataster: Baumbestand (gpx)

de: gpx

de: Baumkataster: Baumbestand (jsonl)

de: jsonl

de: Baumkataster: Baumbestand (kml)

de: kml

de: Baumkataster: Baumbestand (ov2)

de: Baumkataster: Baumbestand (parquet)

de: parquet

de: Baumkataster: Baumbestand (rdfxml)

de: rdfxml


parkflachen

$oid: OBSOLETE

de:
In Basel stehen auf dem Stadtgebiet ungefähr 100'000 öffentliche und private Auto-Parkplätze zur Verfügung. Rund ein Viertel davon befindet sich auf Allmend. Ein Grossteil dieser Parkplätze befinden in der Blauen Zone und stehen hauptsächlich den Anwohnerinnen und Anwohner der Quartiere zur Verfügung. Daneben gibt es weitere Parkplatztypen: Gebührenpflichtige Parkplätze, Parkplätze für Velos und Motorräder, Parkplätze für Cars, usw.
Die unterschiedlichen Bewirtschaftungsarten der Parkplätze haben zum Ziel, dass nebst der Anwohnerschaft auch Besucher, der Detailhandel sowie das Gewerbe von den Parkplätzen profitieren können und der Parksuchverkehr reduziert werden kann. Bei den gebührenpflichtigen Parkplätzen sind die Parkgebühren gebietsabhängig.
Wegen Baustellen, Veranstaltungen oder aus anderen Gründe kann es sein, dass Parkplätze vorübergehend nicht zur Verfügung stehen. Auch ist es möglich, dass gewisse Parkplätze im Rahmen von Umbauprojekten bereits aufgehoben wurden, das Projekt aber noch nicht abgeschlossen und somit auch der Datensatz noch nicht nachgeführt ist.

de: Parkflächen

de: parkieren parkzone parkierung parkplatz parken auto velo fahrrad motorrad

kanton-basel-stadt

approval_status: approved

fr: Le canton de Bâle-Ville publie des ensembles de données ouvertes (Open Government Data) provenant des offices et services cantonaux. **Open Data Basel-Stadt** est responsable du soutien aux services administratifs qui publient des données.

en: The Canton of Basel-Stadt publishes open government datasets from cantonal offices and departments. **Open Data Basel-Stadt** is responsible for supporting the administrative units that publish data.

de: Der Kanton Basel-Stadt veröffentlicht Open Government-Datensätze von kantonalen Ämtern und Dienststellen. **Open Data Basel-Stadt** ist zuständig für die Unterstützung der datenpublizierenden Verwaltungsstellen.

it: Il Cantone di Basilea-Città pubblica set di dati aperti (Open Government Data) provenienti dagli uffici e dai servizi cantonali. **Open Data Basel-Stadt** è responsabile del supporto agli uffici amministrativi che pubblicano i dati.

de: Kanton Basel-Stadt

en: Canton of Basel-City

fr: Canton de Bâle-Ville

political_level: canton

state: active

type: organization

de: Amt für Mobilität

title_for_slug: parkflachen

type: dataset

key: guid

key: uri

value: BS Kanton Stadt - DCAT Harvester

envi

de: Umwelt

en: Environment

fr: Environnement

it: Ambiente

tran

de: Verkehr

en: Transport

fr: Transports

it: Trasporti

de: Parkflächen (csv)

format: CSV

media_type: text/csv

de: Parkflächen (json)

de: json

format: JSON

media_type: application/json

de: Parkflächen (jsonl)

de: Parkflächen (parquet)

format: PARQUET

de: Parkflächen (rdfxml)

format: RDF XML

media_type: application/rdf+xml

de: Parkflächen (jsonld)

de: jsonld

format: JSON-LD

de: Parkflächen (turtle)

de: turtle

format: RDF Turtle

media_type: text/turtle

de: Parkflächen (n3)

de: Parkflächen (xls)

de: xls

format: XLS

auto

display_name: auto

fahrrad

display_name: fahrrad

motorrad

display_name: motorrad

parken

display_name: parken


postleitzahlenkreise

de: Die Einteilung des Kantons in adressgenaue Postleitzahlenkreise ist eine Erweiterung der Amtlichen Vermessung des Kantons Basel-Stadt, welche in Zusammenarbeit mit der Post unterhalten wird. Sie wird für die automatische Zuweisung der PLZ zu einer Adresse im kantonalen Datenmark verwendet und an das Bundesamt für Landestopografie (swisstopo) weitergeleitet.

de: Postleitzahlenkreise

de: post postleitzahl brief paket

kanton-basel-stadt

de: Der Kanton Basel-Stadt veröffentlicht Open Government-Datensätze von kantonalen Ämtern und Dienststellen. **Open Data Basel-Stadt** ist zuständig für die Unterstützung der datenpublizierenden Verwaltungsstellen.

de: Kanton Basel-Stadt

de: Grundbuch- und Vermessungsamt

title_for_slug: postleitzahlenkreise

gove

de: Regierung und öffentlicher Sektor

en: Government and public sector

fr: Gouvernement et secteur public

it: Governo e settore pubblico

regi

de: Regionen und Städte

en: Regions and cities

fr: Régions et villes

it: Regioni e città

de: Postleitzahlenkreise (csv)

de: csv

de: Postleitzahlenkreise (json)

de: Postleitzahlenkreise (fgb)

de: fgb

format: OCTET

de: Postleitzahlenkreise (geojson)

de: geojson

de: Postleitzahlenkreise (gpx)

de: gpx

format: GPX

de: Postleitzahlenkreise (jsonl)

de: jsonl

de: Postleitzahlenkreise (kml)

de: kml

format: KML

de: Postleitzahlenkreise (ov2)

format: TXT

media_type: text/plain

de: Postleitzahlenkreise (parquet)

de: parquet

de: Postleitzahlenkreise (rdfxml)

de: rdfxml


allmendbewilligungen

de: Allmendbewilligungen beinhaltet sämtliche Nutzungen, welche im öffentlichen Raum (Allmend) stattfinden. Die dargestellten genutzten Flächen sind nicht verbindlich.

de: Allmendbewilligungen

de: baustelle plakat anlass fest party umleitung

kanton-basel-stadt

de: Der Kanton Basel-Stadt veröffentlicht Open Government-Datensätze von kantonalen Ämtern und Dienststellen. **Open Data Basel-Stadt** ist zuständig für die Unterstützung der datenpublizierenden Verwaltungsstellen.

de: Kanton Basel-Stadt

de: Tiefbauamt

title_for_slug: allmendbewilligungen

soci

de: Bevölkerung und Gesellschaft

en: Population and society

fr: Population et société

it: Popolazione e società

gove

de: Regierung und öffentlicher Sektor

regi

de: Regionen und Städte

de: Allmendbewilligungen (csv)

de: csv

de: Allmendbewilligungen (json)

de: json

de: Allmendbewilligungen (fgb)

de: Allmendbewilligungen (geojson)

de: Allmendbewilligungen (gpx)

de: Allmendbewilligungen (jsonl)

de: Allmendbewilligungen (kml)

de: Allmendbewilligungen (ov2)

de: Allmendbewilligungen (parquet)


de: Dieser Datensatz zeigt die aktiven Interessensbindungen von Grossratsmitgliedern während ihrer Mitgliedschaft im Grossen Rat des Kantons Basel-Stadt.Die Daten können auch auf der Webseite des Grossen Rates eingesehen werden:[https://grosserrat.bs.ch](https://grosserrat.bs.ch)

de: grosser-rat parlament interessensbindungen grossrat grossratin legislative

kanton-basel-stadt

de: Der Kanton Basel-Stadt veröffentlicht Open Government-Datensätze von kantonalen Ämtern und Dienststellen. **Open Data Basel-Stadt** ist zuständig für die Unterstützung der datenpublizierenden Verwaltungsstellen.

de: Parlamentsdienst des Grossen Rates

de: Grosser Rat: Interessensbindungen Ratsmitglieder (csv)

de: Grosser Rat: Interessensbindungen Ratsmitglieder (json)

de: Grosser Rat: Interessensbindungen Ratsmitglieder (jsonl)

de: jsonl

de: Grosser Rat: Interessensbindungen Ratsmitglieder (parquet)

de: parquet

de: Grosser Rat: Interessensbindungen Ratsmitglieder (rdfxml)

de: rdfxml

de: Grosser Rat: Interessensbindungen Ratsmitglieder (jsonld)

de: jsonld

de: Grosser Rat: Interessensbindungen Ratsmitglieder (turtle)

de: turtle

de: Grosser Rat: Interessensbindungen Ratsmitglieder (n3)

de: Grosser Rat: Interessensbindungen Ratsmitglieder (xls)

de: xls

grosser-rat

display_name: grosser-rat

grossrat

display_name: grossrat

grossratin

display_name: grossratin

interessensbindungen

display_name: interessensbindungen

legislative

display_name: legislative

parlament

display_name: parlament


grosser-rat-ratsmitgliedschaften

de: Dieser Datensatz zeigt die Ratsmitglieder des Grossen Rates des Kantons Basel-Stadt.Pro Datenpunkt wird eine Mitgliedschaft im Grossen Rat gezeigt. Dies kann also zu mehreren Einträgen der gleichen Person führen, falls diese Person nach einem Unterbruch wieder in den Grossen Rat gewählt wurde.Die Daten können auch auf der Webseite des Grossen Rates eingesehen werden:[https://grosserrat.bs.ch/mitglieder](https://grosserrat.bs.ch/mitglieder)

de: Grosser Rat: Ratsmitgliedschaften

de: grosser-rat parlament grossrat grossratin legislative interessensbindungen

kanton-basel-stadt

de: Der Kanton Basel-Stadt veröffentlicht Open Government-Datensätze von kantonalen Ämtern und Dienststellen. **Open Data Basel-Stadt** ist zuständig für die Unterstützung der datenpublizierenden Verwaltungsstellen.

de: Kanton Basel-Stadt

title_for_slug: grosser-rat-ratsmitgliedschaften

gove

de: Regierung und öffentlicher Sektor

de: Grosser Rat: Ratsmitgliedschaften (csv)

de: csv

de: Grosser Rat: Ratsmitgliedschaften (json)

de: json

de: Grosser Rat: Ratsmitgliedschaften (jsonl)

de: Grosser Rat: Ratsmitgliedschaften (parquet)

de: Grosser Rat: Ratsmitgliedschaften (rdfxml)

de: Grosser Rat: Ratsmitgliedschaften (jsonld)

de: Grosser Rat: Ratsmitgliedschaften (turtle)

de: Grosser Rat: Ratsmitgliedschaften (n3)

de: Grosser Rat: Ratsmitgliedschaften (xls)


liegenschaften-parzellen

de: Der Datensatz beinhaltet alle Liegenschaften des Kantons. Es wird zwischen Liegenschaft und Allmendparzelle unterschieden.

de: Liegenschaften: Parzellen

de: amtliche-vermessung-av grundbuch

de: Grundbuch- und Vermessungsamt

title_for_slug: liegenschaften-parzellen

regi

de: Regionen und Städte

envi

de: Umwelt

de: Liegenschaften: Parzellen (csv)

de: Liegenschaften: Parzellen (json)

de: Liegenschaften: Parzellen (fgb)

de: fgb

de: Liegenschaften: Parzellen (geojson)

de: geojson

de: Liegenschaften: Parzellen (gpx)

de: gpx

de: Liegenschaften: Parzellen (jsonl)

de: jsonl

de: Liegenschaften: Parzellen (kml)

de: kml

de: Liegenschaften: Parzellen (ov2)

de: Liegenschaften: Parzellen (parquet)

de: parquet

de: Liegenschaften: Parzellen (rdfxml)

de: rdfxml


stadtplan-darstellung-schwarz-weiss

de: Schwarz/weisse, einfache Darstellung basierend auf den Daten der amtlichen Vermessung.

de: Stadtplan (Darstellung schwarz/weiss)

de: av grundkarte hintergrundkarte

geoinformation-der-stadt-bern

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.

de: Geoinformation Stadt Bern

en: The Land Surveying Office of the City of Bern

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

it: L'ufficio del catasto nella Città di Berna

political_level: commune

stadt-bern

capacity: public

de: geocat.ch Permalink

fr: geocat.ch permalien

it: geocat.ch link permanente

en: geocat.ch permalink

spatial: Stadt Bern

title_for_slug: stadtplan-darstellung-schwarz-weiss

regi

de: Regionen und Städte

envi

de: Umwelt

de: Link zur Detailseite vom Geoportal der Stadt Bern.

de: Geoportal

format: HTML

media_type: text/html

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

de: Map (Preview) Stadtplan

fr: Map (Preview)

it: Map (Preview)

en: Map (Preview)

format: SERVICE

de: Web Map Services WMS

format: WMS

de: Web Map Tile Services WMTS

de: WMTS Stadtplan_schwarzweiss

format: WMTS

de: Web Feature Services WFS

de: WFS Stadtplan_schwarzweiss

format: WFS

value: Geoinformation Stadt Bern - Geocat Harvester


de: Plan für das Grundbuch der Stadt Bern in Graustufen mit blau eingefärbten Gewässern.

de: Amtliche Vermessung (Darstellung schwarz/weiss)

de: av katasterplan kreis

de: WMTS Amtliche_Vermessung_schwarzweiss


stadtplan-darstellung-farbig

de: Farbige, einfache Darstellung basierend auf den Daten der amtlichen Vermessung.

de: Stadtplan (Darstellung farbig)

de: av grundkarte hintergrundkarte

geoinformation-der-stadt-bern

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

de: Geoinformation Stadt Bern

title_for_slug: stadtplan-darstellung-farbig

de: WMTS Stadtplan_farbig

de: WFS Stadtplan_farbig


schwarzplan

de: Die Gebäudeflächen aus der Bodenbedeckung der Amtlichen Vermessung schwarz eingefärbt bilden eine einfache Grundkarte "Schwarzplan".

de: Schwarzplan

de: geocat.ch Permalink

title_for_slug: schwarzplan

regi

de: Regionen und Städte

envi

de: Umwelt

de: Link zur Detailseite vom Geoportal der Stadt Bern.

de: Geoportal

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

de: Map (Preview) Stadtplan

de: WMTS Schwarzplan


de: Daten der amtlichen Vermessung in weiss/gelb und ohne Flächenfüllungen dargestellt. Kann zur Überlagerung mit Orthofotos nützlich sein.

de: Amtliche Vermessung (Darstellung für Orthofoto)

de: av katasterplan

de: Web Map Services WMS

de: Web Map Tile Services WMTS

de: WMTS Amtliche_Vermessung_fuer_Orthofoto


amtliche-vermessung-darstellung-kontur

de: Daten der amtlichen Vermessung in schwarz und ohne Flächenfüllungen dargestellt. Kann zur Überlagerung mit flächengefüllten Informationen nützlich sein.

de: Amtliche Vermessung (Darstellung Kontur)

geoinformation-der-stadt-bern

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

de: Geoinformation Stadt Bern

title_for_slug: amtliche-vermessung-darstellung-kontur

de: WMTS Amtliche_Vermessung_Kontur


amtliche-vermessung-darstellung-farbig

de: Plan für das Grundbuch der Stadt Bern - farbig.

de: Amtliche Vermessung (Darstellung farbig)

de: av katasterplan kreis

de: geocat.ch Permalink

title_for_slug: amtliche-vermessung-darstellung-farbig

regi

de: Regionen und Städte

envi

de: Umwelt

de: WMTS Amtliche_Vermessung_farbig


de: Orthophoto mit belaubter Vegetation des Kantonsgebiets SG aus dem Jahr 2009.

de: Orthophoto 2009, belaubt (WMS)

de: orthofoto luftbild

fr: L'Office d'aménagement du territoire et d'information géographique (AREG) du canton de Saint-Gall est responsable de la politique d'aménagement du territoire, de la mensuration officielle et de la mise à disposition d'informations géographiques. En tant que centre de compétence, le département de géoinformation offre des services numériques pour l'infrastructure de géodonnées et propose des géodonnées aux utilisateurs des secteurs public et privé et des particuliers.

de: Das Amt für Raumentwicklung und Geoinformation des Kantons St.Gallen (AREG) ist verantwortlich für die Raumentwicklungspolitik, die amtliche Vermessung und die Bereitstellung von Geoinformationen. Die Abteilung Geoinformation erbringt als Kompetenzzentrum  digitale Leistungen für die gemeinsame Geodateninfrastruktur des Kantons St.Gallen und der St.Galler Gemeinden und stellt Geodaten für Nutzer ausserhalb der Kantonsverwaltung zur Verfügung.

de: Amt für Raumentwicklung und Geoinformation (AREG) Kanton St. Gallen

fr: Office d'aménagement du territoire et d'information géographique du canton de Saint-Gall

spatial: Kanton St.Gallen

de: Orthophoto 2009, belaubt

value: SG-Kt - (AREG) - Geocat Harvester


de: Der Angebotsplan für die On-Demand Angebote (Bedarfsverkehre) in der Schweiz. Bei diesen Angeboten können Kund*innen eine Fahrt (meist) unabhängig von einem Fahrplan buchen. Die Angebote sind meist auf Pooling (mehrere Fahrgäste werden gemeinsam transportiert) und komplementär zum öV ausgerichtet.

en: The service plan for on-demand services in Switzerland. With these offers, customers can (usually) book a journey independently of a timetable. The services are mostly geared towards pooling (several passengers are transported together) and complementary to public transport.

fr: Le plan d'offre pour les offres On-Demand (transport à la demande) en Suisse. Avec ces offres, les clients* peuvent réserver un trajet (le plus souvent) indépendamment d'un horaire. Les offres sont généralement axées sur le pooling (plusieurs passagers sont transportés ensemble) et sont complémentaires aux transports publics.

it: Il piano di servizio per i servizi on-demand in Svizzera. Con queste offerte, i clienti possono (di solito) prenotare un viaggio indipendentemente dall'orario. I servizi sono per lo più orientati al pooling (più passeggeri vengono trasportati insieme) e complementari al trasporto pubblico.

de: (Beta) Angebotsplan HRDF für On-Demand-Verkehre

en: (Beta) Offer plan HRDF for demand responsive traffic

fr: (Beta) Plan de l'offre HRDF pour le trafic à la demande

it: (Beta) Piano di offerta HRDF per il traffico a richiesta

oevch

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.

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

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

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.

de: Geschäftsstelle Systemaufgaben Kundeninformation (SBB AG)

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

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

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

political_level: other

de: Cookbook (Documentation)

en: Cookbook (Documentation)

fr: Cookbook (Documentation)

it: Cookbook (Documentation)

spatial: Schweiz

value: Opentransportdata - DCAT Harvester

tran

de: Verkehr

format: ZIP

media_type: application/zip


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

WICHTIG: Dieser Datensatz enthält die Fahrplaninformationen zum Autoverlad auf Fähren und Züge und ist nicht für Informationen an Fussgänger geeignet.

Enthalten sind aktuell die Daten der BLS, RhB und MGB.

Daten 2025 und älter sind in unserem Datenarchiv zu finden: https://archive.opentransportdata.swiss

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).

IMPORTANT: This dataset contains the timetable information for car transfer to ferries and trains and is not suitable for information to pedestrians.

Currently, data of BLS, RhB and MGB is included.

Data 2025 and older can be found in our data archive: https://archive.opentransportdata.swiss

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).

IMPORTANT : Ce jeu de données contient les informations sur les horaires pour le chargement des voitures sur les ferries et les trains et ne convient pas pour les informations aux piétons.

Actuellement, les données du BLS, RhB et du MGB sont incluses dans le jeu de données.

Les données 2025 et antérieures se trouvent dans nos archives de données : https://archive.opentransportdata.swiss

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).

IMPORTANTE: Questo set di dati contiene le informazioni sugli orari per il trasferimento delle auto su traghetti e treni e non è adatto per le informazioni ai pedoni.

I dati BLS, RhB e MGB sono attualmente inclusi nel set di dati.

I dati del 2025 e precedenti sono disponibili nel nostro archivio dati: https://archive.opentransportdata.swiss

de: Fahrplan 2026 (HRDF) Format 5.4 für den Autoverlad

en: Timetable 2026 (HRDF) Format 5.4 for car transport

fr: Horaire 2026 (HRDF) Format 5.4 pour transport autos

it: Orario 2026 (HRDF) Format 5.4 per il trasporto macchina

en: hrdf data car-transport timetable car motorised-private-transport motorist multi-modal-journey inter-modal-journey car-train motorail-services

de: hrdf daten autoverlad fahrplan auto motorisierter-individualverkehr automobilist multi-modales-reisen inter-modales-reisen autozug

fr: hrdf donnees transport-autos horaire auto transport-individuel-motorise automobiliste voyage-multimodal voyage-intermodal train-autos

it: hrdf dati trasporto-macchina orario macchina trasporto-privato-motorizzato automobilist multi-modal-transport inter-modal-transport treno-auto

de: Fahrplan (INFO+)

en: Timetable (INFO+)

fr: Horaire (INFO+)

it: Orario (INFO+)

de: HAFAS-Rohdaten-Format

en: HAFAS-Rohdaten-Format

fr: HAFAS-Rohdaten-Format

it: HAFAS-Rohdaten-Format


de: Fahrplan 2027 (HRDF) Format 5.4 für den Autoverlad

en: Timetable 2027 (HRDF) Format 5.4 for car transport

fr: Horaire 2027 (HRDF) Format 5.4 pour transport autos

it: Orario 2027 (HRDF) Format 5.4 per il trasporto macchina

it: hrdf dati transporto-macchina orario macchina transporto-privato-motorizzato automobilist multi-modal-transport inter-modal-transport treno-auto

en: Transport

fr: Transports

it: Trasporti

automobilist

display_name: automobilist

automobiliste

display_name: automobiliste

autoverlad

display_name: autoverlad

autozug

display_name: autozug

car

display_name: car

car-train

display_name: car-train

car-transport

display_name: car-transport


de:
Der Fahrplan enthält die grundlegenden topologischen, sowie die zeitlichen Elemente, die eine Fahrplandarstellung und -auskunft des öffentlichen Verkehrs der Schweiz ermöglichen.

Daten 2025 und älter sind in unserem Datenarchiv zu finden: https://archive.opentransportdata.swiss

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

Data 2025 and older can be found in our data archive: https://archive.opentransportdata.swiss

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

Les données 2025 et antérieures se trouvent dans nos archives de données : https://archive.opentransportdata.swiss

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

I dati del 2025 e precedenti sono disponibili nel nostro archivio dati: https://archive.opentransportdata.swiss

de: Fahrplan 2027 (HRDF) Format 5.4

en: Timetable 2027 (HRDF) Format 5.4

fr: Horaire 2027 (HRDF) Format 5.4

it: Orario 2027 (HRDF) Format 5.4

en: hrdf data timetable

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

fr: hrdf donnees horaire

it: hrdf dati orario

bus

display_name: bus

data

display_name: data


de: Fahrplan 2026 (HRDF) Format 5.4

en: Timetable 2026 (HRDF) Format 5.4

fr: Horaire 2026 (HRDF) Format 5.4

it: Orario 2026 (HRDF) Format 5.4

en: hrdf data timetable 2026 swiss switzerland

de: hrdf daten embag haltestelle verkehrsmittel linie geschaftsorganisation fahrplan fahrt zug bus seilbahn passagier mobilitatsdienstleister 2026 schweiz

fr: hrdf donnees horaire 2026 suisse

it: hrdf dati orario 2026 svizzera

de: Die Datenlieferung enthält Fehler, welche mit der nächsten Lieferung vom 21.11.2025 korrigiert werden.

en: The data delivery contains errors that will be corrected with the next data delivery on 21 November 2025.

fr: La livraison des données contient des erreurs qui seront corrigées lors de la prochaine livraison, le 21 novembre 2025.

it: La consegna dei dati contiene errori che saranno corretti con la prossima consegna del 21.11.2025.


wasser-leitungen-offentlich

de: In diesem Datensatz werden Leitungen für die Wasserversorgung verwaltet. Im Kanton Uri sind nicht alle Wasserversorgungen digital erfasst. Die Gemeindeverwaltungen oder Wasserversorgungen bestimmen zur Zeit die Verfügbarkeit des öffentlichen oder geschützten Zugangs.

de: Wasser Leitungen öffentlich

de: leitungskataster geodaten

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.

de: Lisag AG, Geoinformation Kanton Uri

de: Gemeinden des Kt. Uri

de: geocat.ch Permalink

fr: geocat.ch permalien

it: geocat.ch link permanente

en: geocat.ch permalink

spatial: Canton of Uri (UR)

title_for_slug: wasser-leitungen-offentlich

educ

de: Bildung, Kultur und Sport

en: Education, culture and sport

fr: Éducation, culture et sport

it: Istruzione, cultura e sport

ener

de: Energie

en: Energy

fr: Énergie

it: Energia

envi

de: Umwelt

en: Environment

fr: Environnement

it: Ambiente

de: WMS-Dienst des Kanton Uri

de: WFS-Dienst des Kanton Uri

value: Uri-Kt - Geocat Harvester


wasser-leitungen-darstellung-eigentum

de: Dieser Datensatz hat den gleichen Inhalt wie der Datensatz "Wasser Leitung öffentlich". Die Wasserleitungen sind gemäss dem Attribut "Eigentum" verschiedenfarbig dargestellt.

de: Wasser Leitungen Darstellung Eigentum

title_for_slug: wasser-leitungen-darstellung-eigentum


name: Gesundheitsdirektion des Kantons Zürich, Kantonales Labor

de: Konzentrationsbereiche zur Trinkwasserqualität für verschiedene Analyten aus den im Auftrag der Wasserversorgungen durchgeführten Selbstkontrolluntersuchungen sowie amtlichen Untersuchungen in den Gemeinden des Kantons Zürich – im regulären Trinkwassernetz (ohne Notversorgung, Laufbrunnen und Ressourcen). Die Daten-Ressource 'Netzproben' enthält u. a. das Datum der Probenahme, die spezifische Bezeichnung des Analyten (z. B. Chlorothalonil "R471811"), die Bezeichnung der Verteilzone(n) der Gemeinde sowie den Konzentrationsbereich (dem der Messwert zugeordnet wurde). Die Daten-Ressource 'Bewertungskategorien' enthält die Kategorien der Konzentrationsbereiche pro Analyt sowie den Zeitraum, zu dem sie für die Qualitätsbewertung Gültigkeit haben. Die Messwerte aus den ergänzenden Selbstkontrolluntersuchungen durchgeführt durch externe Dienstleistungslaboratorien im Auftrag der Wasserversorgungen sind im Datensatz 'Qualität des Trinkwassers im Kanton Zürich ab 2020 (Selbstkontrolle der Wasserversorgungen)' enthalten (siehe Verwandte Datensätze).

de: Trinkwasserqualität im Kanton Zürich nach Gemeinden und Verteilzonen

de: trinkwasser pestizide wasserversorgung lebensmittel wasser schwellenwert pflanzenschutzmittel gesundheit verunreinigung gemeinden

gesundheitsdirektion-kanton-zuerich

de: Die Gesundheitsdirektion setzt sich ein für eine hochstehende, sichere und wirtschaftlich tragbare Gesundheitsversorgung, für qualitativ einwandfreie medizinische Dienstleistungen, Heilmittel, Lebensmittel und Gebrauchsgegenstände, für finanziell tragbare Krankenversicherungsprämien. Das Veterinärwesen zählt ebenfalls zu ihrem Aufgabenbereich.

de: Gesundheitsdirektion Kanton Zürich

de: Trinkwasser

en: Trinkwasser

fr: Trinkwasser

it: Trinkwasser

de: Vorbereiteter Code in R oder Python für jedes Dataset mit csv-Datei(en)

de: Trinkwasserqualität der Wohngemeinden (Schweizerischer Verein des Gas- und Wasserfaches SVGW)

value: ZH-Kt Gesundheitsdirektion - DCAT Harvester

heal

de: Gesundheit

en: Health

fr: Santé

it: Salute

agri

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

en: Agriculture, fisheries, forestry and food

fr: Agriculture, pêche, sylviculture et alimentation

it: Agricoltura, pesca, silvicoltura e prodotti alimentari

de: Kategorien von Konzentrationsbereichen pro Analyt zur Qualitätsbewertung. Variablen: 'analyt' = spezifische Bezeichnung des Indikators (z. B. Chlorothalonil "R471811"); 'kategorie' = Konzentrationsbereich von Messwerten; 'kategorie_sortierung' = Sortierung nach aufsteigender Konzentration; 'farbcode' = hexadezimaler Farbcode, der die Einfärbung der Kategorie in der Visualisierung des Kantonalen Labors bestimmt (siehe 'Trinkwasser' unter "Weitere Informationen"); 'start_datum' = Beginn der Gültigkeit des Konzentrationsbereichs; 'end_datum' = Ende der Gültigkeit des Konzentrationsbereichs; 'bemerkung' = Hinweise zum Grund der Änderung des Konzentrationsbereichs.

format: CSV

de: Netzproben der Trinkwasserqualität

gemeinden

display_name: gemeinden

gesundheit

display_name: gesundheit

lebensmittel

display_name: lebensmittel

pestizide

display_name: pestizide

pflanzenschutzmittel

display_name: pflanzenschutzmittel

schwellenwert

display_name: schwellenwert

trinkwasser

display_name: trinkwasser

verunreinigung

display_name: verunreinigung

wasser

display_name: wasser

wasserversorgung

display_name: wasserversorgung


erdwarmenutzung-anlagen

de: Übersicht der Standorte von Erdwärmenutzungsanlagen, welche Erdwärmesonden, Energiepfähle, Erdregister und Erdwärmekörbe zur Wärmegewinnung nutzen.

de: Erdwärmenutzung: Anlagen

de: energie erdwarme geologie gewasserschutz grundwasser ver--und-entsorgung

buwd-uwe

de:
Zum Leistungsauftrag der Dienststelle Umwelt und Energie gehören die Umweltbeobachtung, Information und Beratung, die Prüfung von umweltrelevanten Vorhaben, der Schutz von Umweltgütern (z.B. Grundwasser), die Kontrolle u.a. von Abfallanlagen und Feuerungen sowie die Förderung von erneuerbaren Energien und Energieeffizienz.

Die Dienststelle umfasst die Abteilungen Gewässer und Boden, Entsorgung und Risiko, Energie, Luft, Lärm & Strahlen sowie die Zentralen Dienste.

en:
The mandate of the Department of Environment and Energy includes environmental monitoring, providing information and advice, reviewing environmentally relevant projects, protecting environmental resources (e.g., groundwater), inspecting waste facilities and combustion plants, among other things, and promoting renewable energy and energy efficiency.

The department comprises the divisions of Water and Soil, Waste Management and Risk, Energy, Air, Noise & Radiation, and Central Services.

fr:
Le mandat de prestations de l'Office de l'environnement et de l'énergie comprend la surveillance de l'environnement, l'information et le conseil, l'examen des projets ayant une incidence sur l'environnement, la protection des ressources environnementales (par exemple les eaux souterraines), le contrôle, entre autres, des installations de traitement des déchets et des installations de combustion, ainsi que la promotion des énergies renouvelables et de l'efficacité énergétique.

L'Office comprend les divisions Eaux et sols, Gestion des déchets et risques, Énergie,  Air, bruit et rayonnements, ainsi que les services centraux.

en: Department of Environment and Energy

de: Dienststelle Umwelt und Energie

de: Kanton Luzern, Abteilung Geoinformation

de: geocat.ch Permalink

spatial: Kanton Luzern

title_for_slug: erdwarmenutzung-anlagen

educ

de: Bildung, Kultur und Sport

ener

de: Energie

envi

de: Umwelt

de: Produktansicht Geodatenshop

de: Datenshop

value: Kt. LU UWE - geocat harvester


erdwarmenutzung

de: Zeigt an welchen Orten der Einsatz von Erdwärmesonden zulässig ist und wo bereits Erdwärmenutzungsanlagen in Betrieb sind.

de: Erdwärmenutzung

de: energie erdwarme geologie gewasserschutz grundwasser bewilligungen ver--und-entsorgung

buwd-uwe

fr: Office de l'environnement et de l'énergie

title_for_slug: erdwarmenutzung


verkehrssicherheit

name: Dienststelle für Verkehr und Infrastruktur (vif)

de: Aktive Baustellen entlang der Kantonsstrassen für die eine Baustellenmeldung erfolgt ist.

de: Verkehrssicherheit

de: sicherheit strasse strassenverkehr

buwd-vif

de:
Die Dienststelle Verkehr und Infrastruktur (vif) stellt die Mobilität der Bevölkerung und Wirtschaft sicher. Sie ist verantwortlich für Planung, Bau, Betrieb und Werterhaltung von Kantonsstrassen und sorgt für Verbesserungen der Infrastrukturen für den öffentlichen Verkehr sowie den Fuss- und Veloverkehr. Zudem gehört der Schutz von Menschen, Tieren und Sachwerten vor Hochwassergefahren zum Grundauftrag der Dienststelle.

Die Dienststelle umfasst die Abteilungen Mobilität, Planung Strassen, Realisierung Strassen, zentras - Betrieb Strassen, Naturgefahren sowie Zentrale Dienste und Finanzen.

en: The Department of Traffic and Infrastructure (vif) ensures mobility for residents and businesses. It is responsible for the planning, construction, operation, and maintenance of cantonal roads and works to improve infrastructure for public transportation, as well as for pedestrians and cyclists. In addition, protecting people, animals, and property from flood hazards is part of the agency’s core mission.

fr: L'Office de la circulation et de l'infrastructure (vif) assure la mobilité de la population et des entreprises. Il est chargé de la planification, de la construction, de l'exploitation et de l'entretien des routes cantonales et veille à l'amélioration des infrastructures destinées aux transports publics, ainsi qu'aux piétons et aux cyclistes. La protection des personnes, des animaux et des biens contre les risques d'inondation fait également partie de la mission fondamentale du service.

de: Dienststelle Verkehr und Infrastruktur

title_for_slug: verkehrssicherheit

tran

de: Verkehr

value: Kt. LU VIF- geocat harvester


name: Office cantonal de l'inspection et des relations du travail

fr: REPERTOIRE DES ENTREPRISES DU CANTON DE GENEVE (REG) Le Répertoire des entreprises du canton de Genève (REG) contient des informations relatives à toutes entités (entreprise ou établissement) exercant une activité dans le canton de Genève. L'entreprise est une entité juridiquement autonome, avec ou sans personnalité juridique, organisée pour produire des biens ou fournir des services, avec ou sans but lucratif, à l'usage des particuliers ou des collectivités publiques, bénéficie d'une certaine liberté de décision quant à l'affectation des ressources et à l'utilisation des moyens destinés à la production de ces biens et services. L'établissement est le lieu topographiquement identifié dans lequel l'entreprise exerce son activité. Ne sont représentés que les entreprises dont le siège se trouve dans le canton de Genève et les établissements dont le point adresse est connu du SITG (IDPADR).

fr: Répertoire des entreprises (REG)

canton-geneve

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

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

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

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

de: Kanton Genf

en: Canton of Geneva

fr: Canton de Genève

it: Cantone di Ginevra

spatial: GE

econ

de: Wirtschaft und Finanzen

en: Economy and finance

fr: Économie et finances

it: Economia e finanze

format: API

fr: Serveur de fichiers Opendata

fr: CSV

fr: GDB

fr: GML

format: GML

fr: KML

fr: SHP

format: SHP

value: GEOCAT canton GE


name: Centre de compétences et de coordination OGD / Kompetenz- und Koordinationszentrum für OGD

fr: Ce jeu de données présente le nombre de nouvelles mises en circulation (immatriculations) de voitures de tourisme neuves par mois dans le canton de Fribourg et dans l'ensemble de la Suisse, depuis 2006. L'ensemble des séries chronologiques ont été révisées rétroactivement en février 2026 :A partir de l'année 2018, le canton est déterminé selon les indications figurant sur la plaque d'immatriculation.Jusqu'à l'année 2017, le canton était déterminé uniquement sur la base de l'adresse du détenteur du véhicule. La comparabilité des données entre ces deux périodes est donc limitée.Les résultats de l'année en cours sont toujours provisoires. Des modifications dans le registre des véhicules pour les mois précédents sont probables. Chaque mois, toutes les données des mois précédents sont rechargées. Ce n’est que lorsque les chiffres d’une année complète (janvier-décembre) sont disponibles que les résultats sont considérés comme définitifs.Pour plus d'informations : [https://www.bfs.admin.ch/bfs/fr/home/statistiques/mobilite-transports/enquetes/ivs.html](https://www.bfs.admin.ch/bfs/fr/home/statistiques/mobilite-transports/enquetes/ivs.html)

fr: immatriculations voitures-de-tourisme-neuves conjoncture-fribourgeoise indicateurs-conjoncturels

ssd

fr: Le Service de la statistique et de la donnée est le centre de compétence cantonal pour la statistique publique. Il collecte, analyse et diffuse des données statistiques sur la situation et l’évolution du canton, soutient les services de l’État dans la gestion des données et coordonne la diffusion des données administratives en libre accès.

en: The Statistics and Data Service is the cantonal competence center for public statistics. It collects, analyzes, and disseminates statistical data on the situation and development of the canton, supports state services in data management, and coordinates the dissemination of administrative data in open access.

de: Das Amt für Statistik und Daten ist das kantonale Kompetenzzentrum für die öffentliche Statistik. Es erhebt, analysiert und verbreitet statistische Daten über die Lage und die Entwicklung des Kantons, unterstützt die Dienststellen des Staats bei der Verwaltung ihrer Daten und koordiniert die Veröffentlichung der offenen Verwaltungsdaten.

it: Il Servizio Statistiche e Dati è il centro di competenza cantonale per la statistica pubblica. Raccoglie, analizza e diffonde dati statistici sulla situazione e l'evoluzione del cantone, supporta i servizi statali nella gestione dei dati e coordina la diffusione dei dati amministrativi ad accesso aperto.

de: Amt für Statistik und Daten Freiburg

en: Statistics and Data Service Fribourg

fr: Service de la statistique et de la donnée Fribourg

it: Servizio Statistiche e Dati Friburgo

de: ssd

value: DCAT Harvester Kt. FR

tran

en: Transport

fr: Transports

it: Trasporti

fr: Mises en circulation de voitures de tourisme neuves, dès 2006 (csv)

fr: csv

fr: Mises en circulation de voitures de tourisme neuves, dès 2006 (json)

fr: json

format: JSON

fr: Mises en circulation de voitures de tourisme neuves, dès 2006 (jsonl)

fr: jsonl

fr: Mises en circulation de voitures de tourisme neuves, dès 2006 (parquet)

fr: parquet

format: PARQUET

fr: Mises en circulation de voitures de tourisme neuves, dès 2006 (rdfxml)

fr: rdfxml

format: RDF XML

fr: Mises en circulation de voitures de tourisme neuves, dès 2006 (jsonld)

fr: jsonld

format: JSON-LD

fr: Mises en circulation de voitures de tourisme neuves, dès 2006 (turtle)

fr: turtle

fr: Mises en circulation de voitures de tourisme neuves, dès 2006 (n3)

fr: Mises en circulation de voitures de tourisme neuves, dès 2006 (xlsx)

fr: xlsx

conjoncture-fribourgeoise

display_name: conjoncture-fribourgeoise

immatriculations

display_name: immatriculations

indicateurs-conjoncturels

display_name: indicateurs-conjoncturels

voitures-de-tourisme-neuves

display_name: voitures-de-tourisme-neuves


en:
This data set includes 589 snow profile observations including a rutschblock test, observations of signs of instability and an assessment of the local avalanche danger level, mainly recorded in the region of Davos (eastern Swiss Alps) during the winter seasons 2001-2002 to 2018-2019.
These data were analyzed and results published by Schweizer et al. (2021). They characterized the avalanche danger levels based on signs of instability (whumpfs, shooting cracks, recent avalanches), snow stability class and new snow height.
The data are provided in a csv file (589 records); the variables are described in the corresponding read-me file.
These data are the basis of the following publication: Schweizer, J., Mitterer, C., Reuter, B., and Techel, F.: Avalanche danger level characteristics from field observations of snow instability, Cryosphere, 15, 3293-3315, https://doi.org/10.5194/tc-15-3293-2021, 2021.
 Acknowlegements
Many of the data were recorded by SLF observers and staff members, among those Roland Meister, Stephan Harvey, Lukas Dürr, Marcia Phillips, Christine Pielmeier and Thomas Stucki. Their contribution is gratefully acknowledged.

en: avalanche avalanche-danger snow-instability avalanche-forecasting snow danger-level

envidat

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

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

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

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

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

fr: EnviDat: le portail de données environnementales

it: EnviDat: il portale dei dati ambientali

de: EnviDat

value: Envidat Harvester

envi

de: Umwelt

fr: Environnement

en:
Resource Title: Read-me file
    Size: 133885 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/321f2050-93be-4772-b5d8-562f46658256/resource/b3aeef4d-1b54-467c-88b4-4d2da8076885/download/read-me.pdf
    Description: This read-me file contains the descriptions of the variables.

format: PDF

media_type: application/pdf

en:
Resource Title: Field observations of snow instabilities
    Size: 107300 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/321f2050-93be-4772-b5d8-562f46658256/resource/5927f50c-3a33-4ceb-91bf-d583efd14cfe/download/snow_instability_field_data.csv
    Description: This data set includes 589 snow profile observations including a rutschblock test, observations of signs of instability and an assessment of the local avalanche danger level, mainly recorded in the region of Davos (eastern Swiss Alps) during the winter seasons 2001-2002 to 2018-2019.

avalanche

display_name: avalanche

avalanche-danger

display_name: avalanche-danger

avalanche-forecasting

display_name: avalanche-forecasting

danger-level

display_name: danger-level

snow

display_name: snow

snow-instability

display_name: snow-instability


en:
The dataset includes spatially aggregated canopy temperature measurements (°C) of one to two tree crowns obtained using infrared (IR) point sensors.
The dataset was quality screened using a multi-step outlier detection procedure based on Median Absolute Deviation (MAD) statistics within a defined analysis period (= 1 year).
**Three complementary quality-control checks were applied**:
1\. Global MAD screening – detects observations that strongly deviate from the overall distribution of each individual sensor time series.
2\. Local spike detection – identifies short-term anomalous spikes within each sensor time series using rolling median and rolling MAD statistics.
3\. Cross-sensor consistency screening – compares measurements across all sensors recorded at the same timestamp to identify extreme deviations relative to the network-wide median behaviour.
Each observation received individual QC flags for all three checks, followed by a combined final quality flag. Observations passing all criteria were labelled as `good`, while flagged observations were labelled as `outlier` if considered suspect, or as `bad` if associated with known sensor drifts. Observations labelled as `outlier` may still represent physically plausible values, while observations labelled as `bad` should not be considered for further analysis. All observations were retained in the exported dataset for traceability.

en: Pfynwald VPDrought experiment canopy temperature parameter

en: pinus-sylvestris ir-sensor heat-stress pfynwald vpdrought cooling transpiration irrigation

envi

en: Environment

en:
Resource Title: pfynwald_vpdrought_canopy_temperature_10min_2025.zip
    Size: 5833672 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/a585bca2-a5e2-4810-b9a8-e831fdc7aebd/resource/66747b91-d345-4e98-97c7-9d7b3ce92266/download/pfynwald_vpdrought_canopy_temperature_10min_2025.zip
    Description:

en:
Resource Title: pfynwald_vpdrought_canopy_temperature_1min_2024.zip
    Size: 51370310 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/a585bca2-a5e2-4810-b9a8-e831fdc7aebd/resource/966309dc-3bf5-4bbc-9964-6af79bf294fd/download/pfynwald_vpdrought_canopy_temperature_1min_2024.zip
    Description:

en:
Resource Title: pfynwald_vpdrought_canopy_temperature_10min_2024.zip
    Size: 5872908 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/a585bca2-a5e2-4810-b9a8-e831fdc7aebd/resource/212221fb-14a0-4157-97e9-1670e221959d/download/pfynwald_vpdrought_canopy_temperature_10min_2024.zip
    Description:

en:
Resource Title: pfynwald_vpdrought_canopy_temperature_1min_2025.zip
    Size: 50905903 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/a585bca2-a5e2-4810-b9a8-e831fdc7aebd/resource/3ed284f7-5ca4-4b25-9441-00722b92e58d/download/pfynwald_vpdrought_canopy_temperature_1min_2025.zip
    Description:

cooling

display_name: cooling

heat-stress

display_name: heat-stress

ir-sensor

display_name: ir-sensor

irrigation

display_name: irrigation

pfynwald

display_name: pfynwald

pinus-sylvestris

display_name: pinus-sylvestris

transpiration

display_name: transpiration

vpdrought

display_name: vpdrought


en:
Atmospheric drought (high vapor pressure deficit, VPD) and soil drought frequently co-occur, yet plants respond to these stressors through partially distinct physiological pathways, potentially altering source (photosynthesis) and sink (growth and respiration) activities. Despite significant advances in understanding drought impacts on photosynthesis and plant hydraulics, the independent and interactive effects of soil vs. atmospheric drought on whole-tree carbon balance, including non-structural carbohydrate (NSC) dynamics, allocation priorities, and growth, remain insufficiently understood.
This project aims to disentangle the effects of soil and atmospheric droughts on tree sink and source dynamics in European forests, by studying leaf-to-whole-tree ecophysiological processes that drive growth, carbon sequestration and tree mortality. Research will primarily be conducted in Pfynwald (Valais, Switzerland), as part of the VPDrought experiment, where mature Scots pines (Pinus sylvestris) are exposed to increased soil drought and reduced VPD.
Our study addresses the research question: how do soil and atmospheric droughts differentially affect tree carbon uptake and allocation to growth? We hypothesize that atmospheric drought primarily limits carbon assimilation via stomatal closure, leading to reduced growth and respiration (sink activity), whereas soil drought suppresses both carbon uptake (source activity) and sink strength (growth and respiration), leading to stronger shifts in carbon allocation and early reductions in sink demand. Soil drought restricts carbon transport to belowground sinks, while atmospheric drought promotes NSC accumulation in source tissues due to stomatal closure and reduced sink demand.
**Methods:**
Four campaigns (~4 days each) will be conducted at VPDrought during the summer of 2026-2028, covering four experimental treatments: 1) soil drought + ambient air, 2) soil drought + reduced VPD, 3) irrigation + ambient air, 4) irrigation + reduced VPD. Each treatment will include 6-9 replicates.
During the campaigns, gas exchange measurements will be performed, including net photosynthesis, stomatal conductance, temperature responses of photosynthesis and respiration, and A/Ci curves, using three LI-COR systems (LI-6800). Twig water potential (pre-dawn and midday) will be measured with a Scholander pressure chamber (PMS, model 1505D). Twig, needles, and root samples will be collected across treatments for non-structural carbohydrate (NSC) analyses. Stem respiration measurements will be taken using a custom-made chamber and analyzed with the LI-COR (LI-8100A). In addition, stem radial growth (measured with dendrometers) and leaf area development (using Lidar measurements) will be utilized as proxies for sink activity and carbon allocation to structural growth.  Measurements will be repeated across all years, with additional assessments in 2027 and 2028, including resin flow and phloem transport efficiency using a 13C pulse labeling approach.

en: Carbon balance under dual droughts: Disentangling the effects of soil and atmospheric moisture on tree sink and source dynamics in European forests.

en: gas-exchange soil-drought vpd pinus-sylvestris carbon-dynamics

carbon-dynamics

display_name: carbon-dynamics

gas-exchange

display_name: gas-exchange

soil-drought

display_name: soil-drought

vpd

display_name: vpd


en:
The dataset refers to samples collected across 6 farms in the Bega Valley region of Australia. The farms are located in the grassy woodland ecoregion and are extensively managed with sheep and cattle grazing. Livestock shares the landscape with native mammalian and invertebrate herbivores. On each farm, two nested fenced exclosure systems were established. These included an open area, a fence excluding livestock but allowing access to native mammals and invertebrates and a fence excluding all mammals but allowing access to invertebrates. In each farm, one of these systems was located in a zone dominated by the native Kangaroo grass, and another in a zone co-dominated by the Invasive African lovegrass. The sample and treatment numbering, as well as a summary of the aggregated indicators is provided in the file Indicator_summary.
Leaf swab s(phyllosphere) samples were taken and DNA was extracted and amplified for 16s and ITS markers. The resulting metabarcoding derived tables are presented (Bacteria_swabs and Fungi_swabs respectively), as are the inferred functional profiles for bacteria at the pathway level (PICRUSt2_pathways), as derived by the PICRUSt2 pipeline.
Two 20 by 100 cm strips had their vegetation removed and their living and litter biomass quantified by dry weight (Biomass). Sensors measuring temperature 10 cm above the soil surface were installed in each plot and their output is presented in Climate. Invertebrates were collected with both pitfall traps and sweepnets and the counts for both sampling techniques can be found in Invertebrates. Damage scores across different categories were collected on 5 leaves of the two species in each plot and the average scores can be found in Leaf_damage.

en: Herbivory disrupts invasion_associated phyllosphere and arthropod community shifts in grasslands

en: invertebrates biological-invasions phyllosphere herbivore-exclusion grassland

en:
Resource Title: Indicator_summary.csv
    Size: 19067 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/593901f4-0a08-4dc6-98a4-1decf904dbc1/resource/d68e884c-0153-4d0f-95c6-eb5702972cce/download/indicator_summary.csv
    Description: Sample metadata and aggregate indicators

en:
Resource Title: Invertebrates.csv
    Size: 18842 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/593901f4-0a08-4dc6-98a4-1decf904dbc1/resource/493ae610-9929-4499-8dfb-fdb7c8feafed/download/invertebrates.csv
    Description: Counts of invertebrates collected with pitfall traps and sweepnets

en:
Resource Title: Leaf_damage.csv
    Size: 2007 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/593901f4-0a08-4dc6-98a4-1decf904dbc1/resource/5c2f7e5f-cc22-4ac6-aa16-f3ef13d27ea7/download/leaf_damage.csv
    Description: Aggregated leaf damage scores for African lovegrass and Kangaroo grass

en:
Resource Title: Fungi_swabs.csv
    Size: 1059062 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/593901f4-0a08-4dc6-98a4-1decf904dbc1/resource/02fb3082-a33e-4af4-8ea1-d4c4953eec4e/download/fungi_swabs.csv
    Description: OTU table of fungal phyllosphere communities

en:
Resource Title: Bacteria_swabs.csv
    Size: 1153434 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/593901f4-0a08-4dc6-98a4-1decf904dbc1/resource/f97a1423-4749-45fa-a07e-93697dd72676/download/bacteria_swabs.csv
    Description: OTU table of bacterial phyllosphere communities

en:
Resource Title: Climate.csv
    Size: 5096079 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/593901f4-0a08-4dc6-98a4-1decf904dbc1/resource/787a3947-a316-4ac5-aeda-ffacfd832bed/download/climate.csv
    Description: Sensor collected soil surface temperatures

en:
Resource Title: Biomass.csv
    Size: 3031 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/593901f4-0a08-4dc6-98a4-1decf904dbc1/resource/ac6aecef-5a8d-4539-b231-3403691fc3f9/download/biomass.csv
    Description: Dry biomass weight of collected plant material

en:
Resource Title: PICRUSt2.csv
    Size: 469821 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/593901f4-0a08-4dc6-98a4-1decf904dbc1/resource/665f8907-396a-4b1e-b564-fa100a2b5968/download/picrust2.csv
    Description: Predicted pathway profiles of sampled phyllosphere bacterial communities

biological-invasions

display_name: biological-invasions

grassland

display_name: grassland

herbivore-exclusion

display_name: herbivore-exclusion

invertebrates

display_name: invertebrates

phyllosphere

display_name: phyllosphere


en:
Dataset content
Continuous soil measurements (10-min resolution) from the Pfynwald long-term irrigation experiment, covering five treatments: **control, irrigation, irrigation+VPD, roof, roof+VPD**.
Measurements were taken at multiple plots and at three depths (-0.1, -0.8, -1.2 m below soil surface).
Sensors include TEROS-21 (matric potential), TEROS-12 (volumetric water content), TEROS-21 (soil temperature), and TEROS-12 (electrical conductivity).
 Processing steps
**1. Raw retrieval** from the LWF database (`ada.v_messvar`, project `Pfynwald irrigation`), 10-min cadence.
**2. Range filtering** to remove physically implausible values:
   - SWP: drop values ≥ 0 kPa or ≤ −8000 kPa
   - VWC: drop values ≤ 0 or - 0.8 m³/m³
   - TEM: drop values - 40 °C or - −20 °C
**3. Duplicate aggregation** within the same 10-min timestamp by mean (median for SWP).
**4. Temperature correction (SWP_TC)**: matric potential is temperature-corrected using the TEROS-21 manufacturer equation referenced to T_ref = 20 °C:
   - Convert SWP (kPa) to head h = |SWP|·10.197, then pF = log10(h)
   - ΔpF = (919.890694·ΔT − 6.945352·ΔT²)·exp(−150.754657 / (pF + 9.153084))
   - SWP_TC = −10^(pF + ΔpF) / 10.197
**5. No gap filling applied.** Missing values remain absent from the delivered CSV.
 Methods
- Database query and aggregation: R, `data.table`, `rLWFpg`
- Temperature correction: in-house implementation of TEROS-21 manufacturer formula
- See repository / script reference below
 Limitations
- Values flagged out of range during step 2 are absent (not interpolated)
- Winter periods may include frozen-soil readings — these pass the range filter as physical sensor outputs but should be interpreted with caution by downstream users
- SWP_TC rows carry the messvar_id of the underlying SWP sensor; the corresponding TEM sensor used for correction is paired via site/plot/depth/datetime but not encoded in the messvar_id
- Sensor calibration uses manufacturer defaults; site-specific calibration was not performed
- Roofs were installed in spring 2024. Readings under "roof" / "roof_vpd" treatments before that reflect ambient conditions, not the experimental treatment.
- In 2025, three additional TEROS-21 sensors were added per roofed treatment at 10 cm depth to obtain a balanced sample relative to roof position (under panels, at panel edges, and in inter-panel gaps).
  This expansion means roofed treatments have six positions at 10 cm from 2025 onward, compared to three before.

en: Pfynwald VPDrought experiment soil parameters

en: teros-12 pinus-sylvestris irrigation-manipulation soil-temperature pfynwald vpdrought teros-21 drought-experiment soil-moisture water-potential irrigation electrical-conductivity

envidat

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

en: EnviDat: the Environmental Data Portal

envi

en: Environment

en:
Resource Title: pfynwald_vpdrought_soil_10Minutes_2024.zip
    Size: 59025329 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/12bc2274-e48f-4ff1-8961-b86699aaa450/resource/3606ad5b-f308-4bfc-8aa4-db5b017ee47a/download/pfynwald_vpdrought_soil_10minutes_2024.zip
    Description:

en:
Resource Title: pfynwald_vpdrought_soil_10Minutes_2025.zip
    Size: 66201780 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/12bc2274-e48f-4ff1-8961-b86699aaa450/resource/edaa3e3a-1045-4d2f-952f-e23689c20bb9/download/pfynwald_vpdrought_soil_10minutes_2025.zip
    Description:

drought-experiment

display_name: drought-experiment

electrical-conductivity

display_name: electrical-conductivity

irrigation-manipulation

display_name: irrigation-manipulation

soil-moisture

display_name: soil-moisture

soil-temperature

display_name: soil-temperature

water-potential

display_name: water-potential


en:
Description
This dataset contains continuous sap-flow measurements and derived whole-tree transpiration estimates for 45 Pinus sylvestris trees at the Pfynwald experimental platform in southwestern Switzerland during 2024–2025. Trees were distributed across five treatment combinations established within the VPDrought experiment: Control, Irrigation, Irrigation + VPD reduction, Roof, and Roof + VPD reduction. Sap flux density was measured every 10 min using heat-ratio sap-flow sensors (IX-SF30, Implexx, Melbourne, Australia) installed at breast height on the north-facing side of each tree.
Raw temperature signals were converted to sap flux density following the heat ratio method (Marshall 1958; Burgess et al. 2001; Forster 2019). Thermal diffusivity and related wood properties were parameterized using increment cores collected near the site and tree-specific allometric relationships. Probe misalignment was corrected by estimating a zero-flow offset from nighttime measurements during well-watered, low-VPD conditions in February 2024 and subtracting this offset from the full time series.
Sap flux density measurements at 0.5 and 1.5 cm sapwood depth were combined to total sap flow for the depth where the sensors were installed. Whole-tree transpiration can be calculated by integrating sap flux density across concentric sapwood depth of 2 cm.
The dataset includes processed sap flux density values together with metadata on treatment, tree identity, sensor depth, and quality-control corrections. Limitations include possible residual uncertainty due to sensor drift, assumptions in the sapwood depth, and the replacement of two trees that died during summer 2024 and lost parts of their crown in 2025.
 Additional Information
Data processing was performed in an R environment following the heat ratio method workflow described by Forster (2019). Raw heat-pulse measurements were converted to sap flux density and subsequently corrected for thermal diffusivity, and probe misalignment. Outliers and implausible values were identified and removed using the R package datacleanr (Hurley et al. 2022). Sensor needle misalignment was corrected by defining a zero-flow offset during periods of low atmospheric demand and assumed zero sap flow (i.e. rainy periods), and subtracting this offset from the time series. The processing script used to derive the dataset is available from the authors upon request.
Relevant literature:
- Burgess S.S.O., Adams M.A., Turner N.C., Beverly C.R., Ong C.K., Khan A.A.H. & Bleby T.M. (2001) An improved heat pulse method to measure low and reverse rates of sap flow in woody plants†. Tree Physiology 21, 589–598.
- Forster M.A. (2019) The Dual Method Approach (DMA) Resolves Measurement Range Limitations of Heat Pulse Velocity Sap Flow Sensors. Forests 10.
- Hurley A.G., Peters R.L., Pappas C., Steger D.N. & Heinrich I. (2022) Addressing the need for interactive, efficient, and reproducible data processing in ecology with the datacleanr R package. PLOS ONE 17, e0268426-.
- Marshall D.C. (1958) Measurement of Sap Flow in Conifers by Heat Transport. 1. Plant Physiology 33, 385–396.

en: Pfynwald VPDrought  experiment sap flow parameter

en: pfynwald vpdrought continuous-monitoring tree-transpiration drought-experiment forest-ecophysiology vpd transpiration reduction rhone-valley sap-flow irrigation xylem-flux pinus-sylvestris rain-exclusion

en:
Resource Title: pfynwald_vpdrought_sapflow_10Minutes_2024.zip
    Size: 53546175 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/a9e439e5-827a-40a7-956c-1a05699e6adc/resource/6a0cd3b8-8e29-4b85-9296-86196808fd32/download/pfynwald_vpdrought_sapflow_10minutes_2024.zip
    Description:

en:
Resource Title: pfynwald_vpdrought_sapflow_10Minutes_2025.zip
    Size: 53424631 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/a9e439e5-827a-40a7-956c-1a05699e6adc/resource/455662d6-f0b7-4ea8-8cb6-d31eb714952e/download/pfynwald_vpdrought_sapflow_10minutes_2025.zip
    Description:

continuous-monitoring

display_name: continuous-monitoring

forest-ecophysiology

display_name: forest-ecophysiology

irrigation

display_name: irrigation

pfynwald

display_name: pfynwald

pinus-sylvestris

display_name: pinus-sylvestris

rain-exclusion

display_name: rain-exclusion

reduction

display_name: reduction

rhone-valley

display_name: rhone-valley

sap-flow

display_name: sap-flow

transpiration

display_name: transpiration

tree-transpiration

display_name: tree-transpiration

xylem-flux

display_name: xylem-flux


en:
Project description:
Forest soils are among the largest terrestrial carbon pools. How soil carbon (C) responds to changing water availability is still poorly understood, particularly in already water-limited systems. This project investigates the composition and persistence of soil organic matter (SOM) and associated microbial communities in a dry inner-Alpine Scots pine forest exposed to long-term changes in precipitation and atmospheric demand. Earlier work showed that 19 years of irrigation redistributed bulk soil C from the organic layer into the mineral soil. Although total soil C stocks remained unchanged, a higher incorporation into mineral soils may increase long-term C storage (Guidi et al., 2022; Minich et al., 2026). We now ask, how persistent this redistributed C is, in which soil C fraction (particulate or mineral-associated) it resides, and which microbial communities are associated with it.
The work is based at Pfynwald, where a long-term irrigation experiment (since 2003) and the recently installed [VPDrought platform](https://vpdrought.wsl.ch/de/) together span three precipitation regimes (≈300, 600, and 1200 mm per year) crossed with manipulation of atmospheric vapour-pressure deficit. This setup allows us to disentangle the effects of soil and atmospheric drought, which typically co-vary in nature but may shape soil carbon dynamics through distinct pathways. SOM is separated by physical fractionation into particulate (POM) and mineral-associated (MAOM) fractions, characterized through elemental and isotopic analyses (C, N, δ¹³C, δ¹⁵N, ¹⁴C) and fraction-specific microbial community profiling. At the bulk soil level, we measure nutrient pools and extracellular enzyme activities, continue year-round soil respiration, and complement them by CH4 fluxes. Together, these data will reveal how soil carbon stocks and microbial processing respond to changing precipitation in a water-limited pine forest.

en: Soil organic matter dynamics under altered precipitation in a dry Scots pine forest

en: microbial-communities drought radiocarbon pfynwald som

drought

display_name: drought

microbial-communities

display_name: microbial-communities

radiocarbon

display_name: radiocarbon

som

display_name: som


historical-vegetation-height-model-nfi

en:
The main datasets available are 4 nationwide **Digital Surface Models (DSMs)** and corresponding **Vegetation Height Models (VHMs)** with a spatial resolution of 1 m.
The Vegetation Height Models are calculated by subtraction of a Digital Terrain Model (swissAlti3d version 2017, swisstopo) from the generated DSMs. DSMs were derived by image matching of **scanned historical images** (panchromatic 8-bit) acquired with a RC10 frame camera, in the context of the swisswide image acquisition campaigns of swisstopo.
Nationwide products could be generated for the **four epochs**
 1979-1985 / 1985-1991 / 1990-1998 / 1998-2006.
Additional information about successful image matching vs. interpolation of pixels and about the year of image acquisition are available in the corresponding files (**matched_area_xxxx_xxxx_binay.tif** and **meta_acquisition_year_xxxx_xxxx.json**, respectively).
To separate vegetation from non-vegetation areas a mask derived from a combination of information of the Topographic landscape model - TLM (swisstopo) and a NDVI layer was used and is supplied as **"TLM_mask.tif"**
Due to the occurrence of unrealistic vegetation height values caused by the failure of the image matching process (mainly overexposed images and clouds or very steep rocky terrain), pixel values - 60 m were set to NoData and - 0 m to 0.
All datasets are available in the Reference System **LV95 (EPSG: 2056) LN02 (EPSG: 5728)** and share the common **extent definition** (xmin ymin xmax ymax): 2480000 1070000 2840000 1300000

en: Historical Vegetation Height Model NFI

en: forest nfi vhm photogrammetry dsm historical

title_for_slug: historical-vegetation-height-model-nfi

en:
Resource Title: readme.txt
    Size: 2045 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/d16d27e5-b239-4909-b914-1b0b5337dab3/resource/f6cabeaa-bf7c-4141-bea9-af99d3224487/download/readme.txt
    Description: Description of available data

en:
Resource Title: 1990-1998 Vegetation Height Model
    Size: 219902325555 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fenvicloud%2F&prefix=doi%2Fenvidat.528%2F1990-1998_vegetation_height_model_nfi%2F
    Description:

en:
Resource Title: 1998-2006 Vegetation Height Model
    Size: 219902325555 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fenvicloud%2F&prefix=doi%2Fenvidat.528%2F1998-2006_vegetation_height_model_nfi%2F
    Description:

en:
Resource Title: 1979-1985 Vegetation Height Model
    Size: 219902325555 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fenvicloud%2F&prefix=doi%2Fenvidat.528%2F1979-1985_vegetation_height_model_nfi%2F
    Description:

en:
Resource Title: 1985-1991 Vegetation Height Model
    Size: 219902325555 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fenvicloud%2F&prefix=doi%2Fenvidat.528%2F1985-1991_vegetation_height_model_nfi%2F
    Description:

dsm

display_name: dsm

forest

display_name: forest

historical

display_name: historical

nfi

display_name: nfi

photogrammetry

display_name: photogrammetry

vhm

display_name: vhm


vegetation-height-model-lidar-nfi

en:
Countrywide **vegetation height models (VHM)** were generated for Switzerland based on
LiDAR data acquired in the framework of the **swissSURFACE3D** campaign (swisstopo).
To derive vegetation height, the classified point cloud got normalized by calculating height above ground for all points not belonging to the class ground (2). Vegetation point (class 3,4,5) got then rasterized to a grid size of 0.5 m using an interpolation distance of one grid cell. Raster cells not belonging to a vegetation class got set to 0 m above ground.
These VHM's are produced in the framework of the Swiss National forest Inventory (NFI).
Each year about 1/6 of switzerland surface is updated using swissSURFACE3D data in leaf-off state.

en: Vegetation Height Model LiDAR NFI

en: three-dimensional forest nfi vegetation vegetation-height point-cloud vegetation-classification

envidat

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

en: EnviDat: the Environmental Data Portal

title_for_slug: vegetation-height-model-lidar-nfi

envi

en: Environment

en:
Resource Title: 2024 Vegetation Height Model LiDAR NFI
    Size: 149786984448 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fenvicloud%2F&prefix=doi%2Fenvidat.664%2F2024%2F
    Description: Vegetation Height Model of Switzerland for the year 2024 (cloud optimized geotiff)
and Metadata file with information about acquisition date and point densities of used LiDAR data for tiles of 1 x 1 km (geopackage).

en:
Resource Title: 2025 Vegetation Height Model LiDAR NFI (current)
    Size: 160202280141 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fenvicloud%2F&prefix=doi%2Fenvidat.664%2F2025%2F
    Description: Vegetation Height Model of Switzerland for the year 2025 (cloud optimized geotiff)
and Metadata file with information about acquisition date and point densities of used LiDAR data for tiles of 1 x 1 km (geopackage).

point-cloud

display_name: point-cloud

three-dimensional

display_name: three-dimensional

vegetation

display_name: vegetation

vegetation-classification

display_name: vegetation-classification

vegetation-height

display_name: vegetation-height


en:
The data show locations of the most recent outdoor activity (referred to as restorative location, RL) of Swiss residents, and descriptive characteristics of these places. The data was collected via an online participatory mapping survey targeting residents of urban, peri-urban, and rural areas across Switzerland. Respondents were selected using a stratified random sampling method, considering the greenness and noise exposure of their home locations, and demographic factors such as age, gender, and language region.
The survey was conducted using Maptionnaire software (https://maptionnaire.com). Participants were asked to map the location of their most recent outdoor activity (referred to as restorative location, RL) and provide additional information on their experience in these places. The responses were integrated with the quantitative spatial information (biophysical landscape characteristics, referred to as metrics) on the visited locations, obtained from spatial and remote sensing data.

en: Restorative locations from participatory mapping by Swiss residents

en: quiet-areas sensory-perception gis-analysis traffic-noise soundscape restorative-environments

gis-analysis

display_name: gis-analysis

quiet-areas

display_name: quiet-areas

restorative-environments

display_name: restorative-environments

sensory-perception

display_name: sensory-perception

soundscape

display_name: soundscape

traffic-noise

display_name: traffic-noise


en:
This study examines the siting scenarios for renewable energy infrastructure (REI) in Switzerland, incorporating the external costs of ecosystem services and, innovatively, social preferences. This approach challenges the prevalent techno-economic siting paradigm, which often overlooks these externalities. To minimize the external costs of the scenarios while maximizing energy yield, Marxan, an optimization software, was employed.
MARXAN was run for 2 versions: a) without ground-mounted open space PV infrastructure (excl. OS) and b) with ground-mounted open space PV infrastructure (incl. OS). In each version optimization was done using ecological costs (ECUess) or social costs (ECUsoc) in a regular grid of 4x4km (planning unit).
File:
PU_data.shp: compressed Shapefile (ESRI) from the MARXAN optimization with 2216 rows (objects) and 18 columns (variables) with sf (simple feature) and data frame classes.
Headers are described below:
X01 = Planning_units (PUs)
X02 = incl.OS. number of times pu was selected in MARXAN  when optimized for ecological costs
X03 = incl.OS. number of times pu was selected in MARXAN when optimized for social  costs
X04 = incl.OS. ecological costs (ECUess) of pu when realizing the total energy (normalized)
X05 = incl.OS. social costs (ECUsoc) of pu when realizing the total energy (normalized)
X06 = incl.OS. total energy (MWh/a)
X07 = incl.OS. energy from roof-mounted PV infrastructure (MWh/a)
X08 = incl.OS. energy from wind turbines (MWh/a)
X09 = incl.OS. energy from ground-mounted PV infrastructure (MWh/a)

X10 = excl.OS. number of times pu was selected in MARXAN  when optimized for ecological costs
X11 = excl.OS. number of times pu was selected in MARXAN when optimized for social  costs
X12 = excl.OS. ecological costs (ECUess) of pu when realizing the total energy (normalized)
X13 = excl.OS. social costs (ECUsoc) of pu when realizing the total energy (normalized)
X14 = excl.OS. total energy (MWh/a)
X15 = excl.OS. energy from roof-mounted PV infrastructure (MWh/a)
X16 = excl.OS. energy from wind turbines (MWh/a)
X17 = excl.OS. energy from ground-mounted PV infrastructure (MWh/a)
geometry = Simple feature XY geometry (SFC_POINT) each representing the center of a 4x4km planning unit (PU) in EPSG 21781 (CRS CH1903 / LV03).
For MARXAN optimizations (for meaning of standard files in MARXAN see https://scholar.google.ch/scholar_url?url=https://courses.washington.edu/cfr590/software/Marxan1810/marxan_manual_1_8_2.pdf&hl=de&sa=X&ei=NAWHZI6JJ8PFmAGMo47oDQ&scisig=AGlGAw-DBrsV4kUzkR6GkN1jtG66&oi=scholarr), pu_data.shp was used to generate MARXAN files input.dat, pu.dat, puvfeat.dat, spec.dat.
Coordinate Reference System: CH1903 / LV03. EPSG: 21781.

en: Optimizing renewable energy siting in the Swiss landscape

en: landscape social-acceptance photovoltaic energy wind-power spatial-planning marxan ecosystem-services optimization

ecosystem-services

display_name: ecosystem-services

energy

display_name: energy

landscape

display_name: landscape

marxan

display_name: marxan

optimization

display_name: optimization

photovoltaic

display_name: photovoltaic

social-acceptance

display_name: social-acceptance

spatial-planning

display_name: spatial-planning

wind-power

display_name: wind-power


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

en: Site description Davos Seehornwald CH-DAV

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

en:
Resource Title: Readme
    Size: 2476 bytes
    Format: application/rtf
    URL: https://www.envidat.ch/dataset/4d332ffa-d5f5-413c-ba1c-5f73ceebbed6/resource/7f13f634-76b5-4d56-aa5a-61140240f616/download/readme.rtf
    Description:

format: rtf

en:
Resource Title: CH-DAV_Site_2024.zip
    Size: 34214528 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/4d332ffa-d5f5-413c-ba1c-5f73ceebbed6/resource/73875879-bec0-4e15-a805-e6cd9d4fe596/download/ch-dav_site_2024.zip
    Description: Collection of files with information about the research site Seehornwald Davos CH-DAV

en:
Resource Title: CH-DAV_Site_2024_V2.zip
    Size: 27267396 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/4d332ffa-d5f5-413c-ba1c-5f73ceebbed6/resource/41e3d87c-7907-4a01-bf5e-36a0d4457c40/download/ch-dav_site_2024_v2.zip
    Description: Collection of files with information about the research site Seehornwald Davos CH-DAV

atmospheric-conditions

display_name: atmospheric-conditions

automated-monitoring

display_name: automated-monitoring

biomass

display_name: biomass

carbon-cycle

display_name: carbon-cycle

carbon-dioxide

display_name: carbon-dioxide

carbon-sequestration

display_name: carbon-sequestration

carbon-storage

display_name: carbon-storage

climate-change

display_name: climate-change

climate-growth

display_name: climate-growth

davos

display_name: davos

dbh

display_name: dbh

dendrometer

display_name: dendrometer

ecophysiology

display_name: ecophysiology

ecosystem-functioning

display_name: ecosystem-functioning

eddy-covariance

display_name: eddy-covariance

eddy-covariance-measurements

display_name: eddy-covariance-measurements

flux

display_name: flux

forest

display_name: forest

forest-area

display_name: forest-area

forest-biomass

display_name: forest-biomass

forest-canopy

display_name: forest-canopy

forest-characteristics

display_name: forest-characteristics

forest-dynamics

display_name: forest-dynamics

forest-ecosystems

display_name: forest-ecosystems

forest-function

display_name: forest-function

forest-monitoring

display_name: forest-monitoring

icos

display_name: icos

icp-forests

display_name: icp-forests

ilter

display_name: ilter

lwf

display_name: lwf

metadata

display_name: metadata

open-data

display_name: open-data

picea-abies

display_name: picea-abies


alan-spongy-moth-laboratory-experiment

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

en: ALAN Spongy Moth Laboratory Experiment

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

envidat

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

title_for_slug: alan-spongy-moth-laboratory-experiment

en:
Resource Title: BodyMass_analysis.R
    Size: 4254 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/7f7beb40-642a-4a45-a99f-e631c90e1042/resource/0ff15832-2eb3-4420-9afd-869e36ce92ef/download/bodymass_analysis.r
    Description: R code for the bodymass analysis and producing the graphics.

format: OCTET

en:
Resource Title: SM_R_long_NvK.csv
    Size: 567035 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/7f7beb40-642a-4a45-a99f-e631c90e1042/resource/401242a6-4430-4725-8c41-263a4f769041/download/sm_r_long_nvk.csv
    Description: Raw data modified and used for the Bodymass Analysis

en:
Resource Title: SM_R_NvK.csv
    Size: 56547 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/7f7beb40-642a-4a45-a99f-e631c90e1042/resource/c93124fd-448c-403b-bc42-70f4b6722636/download/sm_r_nvk.csv
    Description: Raw data used for the Pupation and Cox Hazard/Kaplan Meier Analysis.

en:
Resource Title: CoxHazard_KaplanMeier_Mort_Pup.R
    Size: 3933 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/7f7beb40-642a-4a45-a99f-e631c90e1042/resource/0a205353-8812-4f39-af3f-8d67d2d1495c/download/coxhazard_kaplanmeier_mort_pup.r
    Description: R code for the Cox hazard analysis and producing the Kaplan Meier survival curves for both Mortality and Pupation.

en:
Resource Title: Pupation_analysis.R
    Size: 7606 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/7f7beb40-642a-4a45-a99f-e631c90e1042/resource/f5ad6fb7-b540-4742-8b77-e5fa86855b1d/download/pupation_analysis.r
    Description: R code for the pupation analysis and producing the graphics.

alan

display_name: alan

insect-development

display_name: insect-development

lab-experiment

display_name: lab-experiment

light-pollution

display_name: light-pollution

spongy-moth

display_name: spongy-moth


forest-canopy-layer

en: This dataset provides a LiDAR-based classification of the forest canopy layer for selected Swiss cantons. Combining an area-based and tree-centred approach, forest areas are categorised into four canopy layering classes that differentiate between single-layered and multi-layered canopies.

en: Forest Canopy Layer

en: lidar forest-canopy nfi forest-management mountain-forest forest-structure

envidat

en: EnviDat: the Environmental Data Portal

title_for_slug: forest-canopy-layer

envi

en: Environment

en:
Resource Title: ForestCanopyLayer.tif
    Size: 558505541 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/01aaf289-b61f-43ab-be61-39d8e4705c30/resource/90bcde13-c71d-4618-a198-362ebccd0516/download/forestcanopylayer.tif
    Description: Forest Canopy Layer (class 1: single-layered; class 2: probably single-layered; class 3: probably multi-layered; class 4: multi-layered).

format: TIFF

media_type: image/tiff

en:
Resource Title: IFA_Data.csv
    Size: 3837 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/01aaf289-b61f-43ab-be61-39d8e4705c30/resource/a15b3bdb-c45e-4a8a-b526-8d43b265862c/download/ifa_data.csv
    Description: Validation data from the Independent Forester Assessment (IFA). x- /y-coordinate (CH1903+ LV03) and layer (1: single-layered; 2: multi-layered; -999: NA).

en:
Resource Title: ForestCanopyLayer.qml
    Size: 8139 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/01aaf289-b61f-43ab-be61-39d8e4705c30/resource/378dbed2-33a3-4398-8a41-5c341d27557d/download/forestcanopylayer.qml
    Description: QGIS QML file with stored layer style definitions for the ForestCanopyLayer.tif.

forest-canopy

display_name: forest-canopy

forest-management

display_name: forest-management

forest-structure

display_name: forest-structure

lidar

display_name: lidar

mountain-forest

display_name: mountain-forest

nfi

display_name: nfi


en:
This dataset contains the input data generated for the pseudo-global warming (PGW) experiments used in the study of the March 2022 Antarctic heatwave with the CRYOWRF model. It includes:
- PGW delta fields derived from CMIP6 simulations, used to perturb ERA5 reanalysis data for past and  future storyline experiments.
- Model configuration files required to reproduce the CRYOWRF simulations.
These resources allow researchers to reproduce the experimental setup and generate model outputs consistent with the results presented in the study.

en: Storylines of the March 2022 heatwave event at Concordia - East Antarctica

en: era5 extreme-events heatwave event-attribution cmip6 antarctica climate-change atmospheric-rivers

en:
Resource Title: CRYOWRF_ANT_20220315_ConfigFiles.tar
    Size: 912259096 bytes
    Format: application/x-tar
    URL: https://www.envidat.ch/dataset/79b7c457-e689-49bd-8330-29b0508d2b2c/resource/7f77d116-cd3b-4eec-a6d6-061b0d7b43f6/download/cryowrf_ant_20220315_configfiles.tar
    Description: Model configuration files required to reproduce the CRYOWRF simulations over Antarctica.

en:
Resource Title: PGW_deltas.tar
    Size: 3701853962 bytes
    Format: application/x-tar
    URL: https://www.envidat.ch/dataset/79b7c457-e689-49bd-8330-29b0508d2b2c/resource/9936c23c-dc86-4eaa-8a6f-5a49cffb338c/download/pgw_deltas.tar
    Description: PGW delta fields derived from CMIP6 simulations, used to perturb ERA5 reanalysis data for future storyline experiments.

antarctica

display_name: antarctica

atmospheric-rivers

display_name: atmospheric-rivers

climate-change

display_name: climate-change

event-attribution

display_name: event-attribution

extreme-events

display_name: extreme-events

heatwave

display_name: heatwave


en:
This dataset contains gridded snow depth projections for Switzerland at 1km X 1km resolution. This study was supported by Speed2Zero. The dataset contains the following structure:
- data/data_reference/hs_reference_1991_2020.nc
- data/data_projection_flat/hs_projection_flat.nc
- data/data_projection_aspect/hs_projection_aspect.nc
The data is based on climatological SPASS dataset (Marty et al., 2015) using the reference period 1991-2020. For this reference data, median snow depth evolution, as well as 5th and 95th percentile were computed for each grid point and can be found in this dataset (data/data_reference/*). Future snow depth evolutions for the flat field (data/data_projection_flat/*) were projected for the temperature scenarios +1°C, +2°C, +3°C and +4°C (deviation from 1991-2020 annual mean temperature in Switzerland) following the literature-based approach of Richter and Marty, 2026. Furthermore, this dataset contains gridded projections for north- and south-facing ascpects with a slope anle of 15° (data/data_projection_aspect/*). Detailed can be found in the related publication Richter et al., in preparation.
The files in this data set have a similar structure. Each file is a NetCDF-file containing snow depths (median, 5th, 95th percentile) for each day of the year, coordinate, temperature scenario (data_projection_flat and data_projection_aspect) and aspect (data_projection_aspect).
References:
Marty, C., Michel, A., Jonas, T., Steijn, C., Muelchi, R., and Kotlarski, S.: SPASS – new gridded climatological snow datasets for Switzerland: potential and limitations, The Cryosphere, 19, 4391–4407, https://doi.org/10.5194/tc-19-4391-2025, 2025.
Richter, B. and Marty, C.: Technical note: Literature based approach to estimate future snow, Hydrol. Earth Syst. Sci., 30, 659–670, https://doi.org/10.5194/hess-30-659-2026, 2026.
Richter et al., Gridded snow depth projections, in prepration.

en: Gridded projections of snow depth for Switzerland

en: snow swiss-alps future scenario climate-projections switzerland climate-change snow-depth gridded-data

envidat

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

climate-projections

display_name: climate-projections

future

display_name: future

gridded-data

display_name: gridded-data

scenario

display_name: scenario

snow

display_name: snow

snow-depth

display_name: snow-depth

swiss-alps

display_name: swiss-alps

switzerland

display_name: switzerland


individual-detected-trees

en: This dataset provides individual detected trees for selected Swiss Cantons (Appenzell Outer-Rhodes - AR, Grisons - GR, Nidwald - NW, Obwald - OW and St. Gall - SG), including the derived diameter at breast height and the derived NFI development stage. Data show the Individual detected trees (ITD) with the x- and y-positions of each detected tree based on a spike-free vegetation height model based on nationwide LiDAR data. The shapefile contains the following attributes: tree height [m] (Height), estimated diameter at breast height [cm] (BHD), and the NFI development stage (Ent; 1: young growth/thicket (- 12 cm); 2: pole timber (12-30 cm); 3: young timber (31-40 cm); 4: medium timber (41-50 cm); 5: old timber (- 50 cm).

en: Individual Detected Trees

en: forest-management mountain-forest forest-structure development-stage nfi itd

title_for_slug: individual-detected-trees

development-stage

display_name: development-stage

forest-management

display_name: forest-management

forest-structure

display_name: forest-structure

itd

display_name: itd


iwet-insect-weight-estimation-tool

en:
Because of some corrections, a new version of the whole Dataset will be published soon.
We present a novel tool called IWET (Insect Weight Estimation Tool) for estimating morphometrics of arthropod samples using image analysis. IWET is a Java application built around ImageJ libraries and is designed to estimate length, width, area and body mass of individual arthropods from images of specimens sorted into pre-defined taxonomic groups. Using allometric relationships from Sohlströhm et al. (2018), we developed specific regression models to calculate both the individual body mass and the total biomass of arthropod taxonomic groups. IWET provides several advantages: it is non-destructive, cost-effective, and capable of processing large numbers of samples, making it particularly well-suited for biodiversity monitoring projects investigating changes in abundance and biomass, as well as for automating measurements such as specimen length, width and area.

en: IWET – Insect Weight Estimation Tool

en: body-size allometric image-analysis arthropods automatic-detection biomass temperate

envidat

en: EnviDat: the Environmental Data Portal

title_for_slug: iwet-insect-weight-estimation-tool

en:
Resource Title: R-Script_and_suppl.zip
    Size: 2243953 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/3d7e7b44-af7f-4824-84b8-fc2abd1f04b3/resource/6ca41ee8-bda9-4e65-b859-1dd9c0184c50/download/r-script_and_suppl.zip
    Description: R Script for Regression models

en:
Resource Title: IWET_EnviDat.zip
    Size: 10255073 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/3d7e7b44-af7f-4824-84b8-fc2abd1f04b3/resource/7f5681bf-cf49-47b0-a8cc-a1e8dde61354/download/iwet_envidat.zip
    Description: IWET-Software with prorpriety and model files (inkl. materials)

allometric

display_name: allometric

arthropods

display_name: arthropods

automatic-detection

display_name: automatic-detection

biomass

display_name: biomass

body-size

display_name: body-size

image-analysis

display_name: image-analysis

temperate

display_name: temperate


en:
This dataset contains all necessary data to reproduce the validation simulations performed in the linked manuscript.
The validation data includes:
- 2 cm DEM of the study site Weissfluhjoch. For the 3 cm DEM of the study site Chant Sura, see [this dataset](https://www.doi.org/10.16904/envidat.174).
- roughness index rasters for both study sites
- rock point clouds of EOTA and Real Equant shapes
- release points used in the validation simulations of both study sites
- a sample XML input file for the rockfall simulator

en: Validation Data for Rockfall Simulations with Geometric Roughness Model

en: rockfall validation numerical-simulation natural-hazards surface-roughness

envi

en: Environment

en:
Resource Title: Sample Simulation
    Size: 126372 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/b6c60fc1-448d-445b-98bf-57806bbade9e/resource/230c5218-e7a2-4e4f-8633-0c00695cff71/download/sample_sim.zip
    Description: This dataset contains a small sample simulation to showcase the recommended folder/file structure to run rockfall simulations. The input parameters for the simulation can be changed in the XML file, which is then also used as input for the rockfall simulator.

en:
Resource Title: Release Points
    Size: 4649 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/b6c60fc1-448d-445b-98bf-57806bbade9e/resource/636d34b5-5031-4bb6-aa28-b3d1cb11b80e/download/release.zip
    Description: Release points used in the validation simulations of both study sites. Use the *.txt files as input for the simulator.

en:
Resource Title: Rock Pointclouds
    Size: 3779 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/b6c60fc1-448d-445b-98bf-57806bbade9e/resource/c99baa33-50ba-480a-8e4b-82450130900b/download/rocks.zip
    Description: Rock point clouds of EOTA and Real Equant shapes

en:
Resource Title: Roughness Index Rasters
    Size: 36884 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/b6c60fc1-448d-445b-98bf-57806bbade9e/resource/2c863503-c73d-4b97-a660-d2998b717093/download/roughness.zip
    Description: Roughness index rasters used for the validation simulations. They have a resolution of 3 m.

en:
Resource Title: DEM Weissfluhjoch
    Size: 1005521469 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/b6c60fc1-448d-445b-98bf-57806bbade9e/resource/9598c524-85b4-4dad-981c-59a126314973/download/dem_weissfluhjoch_2cm.tif
    Description: Digital Elevation Model (DEM) of validation test site Weissfluhjoch with a grid resolution of 2 cm. The DEM for test site Chant Sura can be found in the linked dataset.

natural-hazards

display_name: natural-hazards

numerical-simulation

display_name: numerical-simulation

rockfall

display_name: rockfall

surface-roughness

display_name: surface-roughness

validation

display_name: validation


en:
The dataset contains the time series of: overland flow (OF) and topsoil interflow (TIF) measured at two large runoff plots (8 m large by 10 m long), streamflow from two sub-catchments of the Studibach catchment, and streamflow from the outlet of the Studibach and Erlenbach catchments. The time series cover 12 rainfall events in the summer 2022.
OF, TIF and the streamflow of the sub-catchments and the Studibach catchment outlet were measured at a 5-min resolution. The streamflow at the Erlenbach catchment outlet was measured at 10-min resolution.
The precipitation was measured with a tipping bucket at the Erlenhöhe meteorological station and has a 10-min resolution.

en: Time serie of overland flow, topsoil interflow and stream flow in the Studibach Catchment and streamflow in the Erlenbach catchment - summer 2022

en: studibach topsoil-interflow runoff-plot erlenbach streamflow alptal upscaling overland-flow

envidat

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

alptal

display_name: alptal

erlenbach

display_name: erlenbach

overland-flow

display_name: overland-flow

runoff-plot

display_name: runoff-plot

streamflow

display_name: streamflow

studibach

display_name: studibach

topsoil-interflow

display_name: topsoil-interflow

upscaling

display_name: upscaling