geschaftsorganisationen

de:
**WICHTIG: Dieser Datensatz wird per 30. Juni 2026 eingestellt, bitte verwenden Sie die neue Version dieses Datensatzes auf**
https://data.opentransportdata.swiss/dataset/business-organisation-v2

Die Geschäftsorganisationen stellen eine organisatorische Strukturierung der Transportunternehmen nach abrechnungstechnischen und kundeninformativen Merkmalen dar.

Die Geschäftsorganisationen werden über ihre Swiss Business Organisation ID (SBOID) identifiziert. Der Datensatz enthält zudem die Swiss Administration ID (SAID), welche Teil der SBOID ist, und für definierte Anwendungsfälle (z.B. Swiss Journey ID) genutzt werden kann.

Der Datensatz enthält die folgenden Ausprägungen:

- "actual-date": Datensätze, die am aktuellen Tag (heute) gelten.

- "full": alle Datensätze für sämtliche Gültigkeits-Zeiten (vergangene und zukünftige).

- "future-timetable": Datensätze, die im kommenden Fahrplanjahr gültig sein werden - Achtung: Dieser Datensatz wird im Laufe von 2026 ausser Betrieb genommen.

- "timetable-years": Datensätze, die im aktuellen und im kommenden Fahrplanjahr gültig sind.

en:
**IMPORTANT: This dataset will be discontinued on Juni 30, 2026. Please use the new version of this data set available on**
https://data.opentransportdata.swiss/dataset/business-organisation-v2

The business organisations represent an organisational structuring of the transport companies according to billing and customer information characteristics.

The business organisations are identified by their Swiss Business Organisation ID (SBOID). The data set also contains the Swiss Administration ID (SAID), which is part of the SBOID and can be used for defined use cases (e.g. Swiss Journey ID).

The data sets contains the following characteristics:

- ‘actual-date’: records that apply on the current day (today).

- ‘full’: all records for all validity periods (past and future).

- ‘future-timetable’: Data sets that will be valid for the coming timetable year – Please note: This data set will be taken out of service in the course of 2026.

- ‘timetable-years’: data sets that apply to the current and upcoming timetable year.

fr:
**IMPORTANT: Ce jeu de données sera supprimé le 30 juin 2026. Veuillez utiliser la nouvelle version du jeu de données disponible sur**
https://data.opentransportdata.swiss/dataset/business-organisation-v2

Les organisations commerciales représentent une structuration organisationnelle des entreprises de transport selon des caractéristiques de facturation et d'information des clients.

Les organisations commerciales sont identifiées par leur Swiss Business Organisation ID (SBOID). L'ensemble de données contient en outre le Swiss Administration ID (SAID), qui fait partie du SBOID et peut être utilisé pour des cas d'application définis (p. ex. Swiss Journey ID).

Ce jeu de données contient les caractéristiques suivantes:

- «actual-date»: enregistrements valables à la date actuelle (aujourd’hui).

- «full»: tous les blocs de données pour toutes les périodes de validité (passées et futures).

- «future-timetable»: Bloc de données valables pour la prochaine année d’horaire – Attention: Ce bloc de données sera mis hors service dans le courant de l’année 2026.

- «timetable-years»: Blocs de données valables pour l’année d’horaire en cours et l’année d’horaire à venir.

it:
**IMPORTANTE: questo set di dati verrà dismesso il 30 giugno 2026. Si prega di utilizzare la nuova versione di questo set di dati disponibile su**
https://data.opentransportdata.swiss/dataset/business-organisation-v2

Le organizzazioni commerciali rappresentano una struttura organizzativa delle aziende di trasporto in base alle caratteristiche di fatturazione e di informazione dei clienti.

Le organizzazioni commerciali sono identificate dal loro Swiss Business Organisation ID (SBOID). Il set di dati contiene anche lo Swiss Administration ID (SAID), che fa parte dello SBOID e può essere utilizzato per casi d'uso definiti (ad esempio, lo Swiss Journey ID).

Il record contiene le seguenti versioni:

- «actual-date»: record validi alla data corrente (oggi).

- «full»: tutti i record di dati per tutti i periodi di validità (passati e futuri).

- «future-timetable»: Record di dati che saranno validi nell’anno di orario successivo – Attenzione: Questo record di dati verrà messo fuori servizio nel corso del 2026.

- «timetable-years»: Record di dati validi nell’anno di orario in corso e in quello successivo.

en: proprietary data business-register swiss-business-organisation-id swiss-administration-id transport-operator transport-company business-organisation on-demand-bus train bus mobility-service-provider

de: proprietar embag daten geschaftsregister swiss-business-organisation-id swiss-administration-id transportunternehmen verkehrsunternehmen geschaftsorganisation on-demand-bus zug bus mobilitatsdienstleister

it: proprietario lmeca registro-delle-imprese id-organizzazione-aziendale-svizzera id-amministrazione-svizzera operatore-di-trasporto azienda-di-trasporto organizzazione-aziendale autobus-a-richiesta treno autobus fornitore-di-servizi-di-mobilita

de: atlas (SKI Business Plattform)

en: atlas (SKI Business Platform)

fr: atlas (plateforme SKI Business)

it: atlas (piattaforma commerciale SKI)

de: Cookbook Geschäftsorganisationen

en: Cookbook Geschäftsorganisationen

fr: Cookbook Geschäftsorganisationen

it: Cookbook Geschäftsorganisationen

de: Cookbook - Geschäftsorganisationen mit SIRI-SX

de: Geschäftsorganisationen

en: Business organisations

fr: Organisations commerciales

it: Organizzazioni aziendali

title_for_slug: geschaftsorganisationen

autobus

display_name: autobus

autobus-a-richiesta

display_name: autobus-a-richiesta

azienda-di-trasporto

display_name: azienda-di-trasporto

bus

display_name: bus

bus-a-la-demande

display_name: bus-a-la-demande

business-organisation

display_name: business-organisation

business-register

display_name: business-register

data

display_name: data

daten

display_name: daten

donnees

display_name: donnees

embag

display_name: embag

entreprise-de-transport

display_name: entreprise-de-transport

fornitore-di-servizi-di-mobilita

display_name: fornitore-di-servizi-di-mobilita

geschaftsorganisation

display_name: geschaftsorganisation

geschaftsregister

display_name: geschaftsregister

id-amministrazione-svizzera

display_name: id-amministrazione-svizzera

id-de-la-administration-suisse

display_name: id-de-la-administration-suisse

id-organizzazione-aziendale-svizzera

display_name: id-organizzazione-aziendale-svizzera

lmeca

display_name: lmeca

lmeta

display_name: lmeta

mobilitatsdienstleister

display_name: mobilitatsdienstleister

mobility-service-provider

display_name: mobility-service-provider

on-demand-bus

display_name: on-demand-bus

operateur-de-transport

display_name: operateur-de-transport

operatore-di-trasporto

display_name: operatore-di-trasporto


ist-daten-actual-data

$oid: OBSOLETE

de: Ereignismanagementsystem – EMS SKI

en: Event Management System - EMS SKI

fr: Système de gestion des événements – EMS SKI

it: Gestione degli avvenimenti: EMS SKI

de:
**WICHTIG: Dieser Datensatz wird per 30. Juni 2026 eingestellt, bitte verwenden Sie die neue Version dieses Datensatzes auf**
https://data.opentransportdata.swiss/dataset/ist-daten-v2

Die Ist-Daten enthalten die effektiv gefahrenen Fahrten des letzten bzw. des entsprechenden Tages. Die Ist-Daten sind entweder effektive Ist-Daten oder die letzte Prognose, die das Kundeninformationssystem erhalten hat.

Ist-Daten Archiv: https://archive.opentransportdata.swiss/actual_data_archive.htm

en:
**IMPORTANT: This dataset will be discontinued on Juni 30, 2026. Please use the new version of this data set available on** https://data.opentransportdata.swiss/dataset/ist-daten-v2

The actual data contains the journeys which have actually been completed during the last or relevant day. The actual data is either the effective actual data or last forecast received by the customer information system.

Actual data Archive: https://archive.opentransportdata.swiss/actual_data_archive.htm

fr:
**IMPORTANT: Ce jeu de données sera supprimé le 30 juin 2026. Veuillez utiliser la nouvelle version du jeu de données disponible sur**
https://data.opentransportdata.swiss/dataset/ist-daten-v2

Les données réelles contiennent les trajets effectivement effectués le jour précédent ou le jour correspondant. Les données réelles sont soit des données réelles effectives, soit la dernière prévision reçue par le système d'information des clients.

Archives de données reelles: https://archive.opentransportdata.swiss/actual_data_archive.htm

it:
**IMPORTANTE: questo set di dati verrà dismesso il 30 giugno 2026. Si prega di utilizzare la nuova versione di questo set di dati disponibile su** https://data.opentransportdata.swiss/dataset/ist-daten-v2

I dati reali contengono i viaggi effettivi effettuati nell'ultimo giorno o nel giorno corrispondente. I dati effettivi sono quelli reali o l'ultima previsione ricevuta dal sistema informativo del cliente.

Archivio dati reale: https://archive.opentransportdata.swiss/actual_data_archive.htm

de: Ist-Daten

en: Actual data

fr: Données réelles

it: Dati effettivi

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

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

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

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

oevch

approval_status: approved

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

state: active

type: organization

schweizerische-bundesbahnen-sbb

capacity: public

de: Cookbook

en: Cookbook

fr: Cookbook

it: Cookbook

spatial: Schweiz

title_for_slug: ist-daten-actual-data

type: dataset

key: guid

value: Opentransportdata - DCAT Harvester

key: uri

tran

de: Verkehr

en: Transport

fr: Transports

it: Trasporti

format: CSV

media_type: text/csv


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

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

Bitte beachten: An Feiertagen (z. B. Ostermontag, Pfingstmontag u. a.) findet keine Aktualisierung statt.

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

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

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

Please note: There will be no updates on public holidays (e.g. Easter Monday, Whit Monday, etc.).

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

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

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

Remarque : Aucune mise à jour n’est effectuée les jours fériés (p. ex. lundi de Pâques, lundi de Pentecôte, etc.).

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

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

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

Nota bene: Non vi sono aggiornamenti nei giorni festivi (ad es. lunedì di Pasqua, lunedì di Pentecoste ecc.).

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

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

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

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

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

de: Fahrplan (INFO+)

en: Timetable (INFO+)

fr: Horaire (INFO+)

it: Orario (INFO+)

de: NeTEx Fahrplan - Profil für ÖV Schweiz

en: NeTEx Fahrplan - Profil für ÖV Schweiz

fr: NeTEx Fahrplan - Profil für ÖV Schweiz

it: NeTEx Fahrplan - Profil für ÖV Schweiz

de: Fahrplan 2026 (NeTEx)

en: Timetable 2026 (NeTEx)

fr: Horaire 2026 (NeTEx)

it: Orario 2026 (NeTEx)

format: ZIP

media_type: application/zip


de: atlas (SKI Business Plattform)

de: Neuer Datensatz, bereitgestellt seit 26. März 2026. Dieser Datensatz beinhaltet alle Fahrplanfelder der Schweiz. Er beinhaltet die Hinfahrt sowie die Rückfahrt und die Fahrplanfeldnummern zusätzlich zum Verkehrsmittel und der verantwortlichen Geschäftsorganisation (Teil eines Transportunternehmens). Die Daten werden zentral von den verantwortlichen Stellen in atlas gepflegt.

en: New data set, provided since 26 March 2026. This data set contains all route tables in Switzerland. It contains the outward and return journey and the route table numbers in addition to the means of transport and the business organisation responsible (part of a transport company). The data is maintained centrally by the responsible units in atlas.

fr: Nouveau jeu de données, mis à disposition depuis le 26 mars 2026. Ce jeu de données contient tous les tableaux-horaires de Suisse. Il contient l’aller et le retour, les numéros de tableaux-horaires, ainsi que le moyen de transport et l’organisation commerciale responsable (partie d’une entreprise de transport). Les données sont mises à jour de manière centralisée dans atlas par les services responsables.

it: Nuovo record di dati, rilasciato dal 26 marzo 2026. Questo record comprende tutti i quadri d’orario della Svizzera. Comprende il viaggio di andata e il viaggio di ritorno e i numeri dei quadri d’orario, oltre al mezzo di trasporto e all’organizzazione aziendale responsabile (parte di un’impresa di trasporto). I dati sono aggiornati centralmente in atlas dagli uffici responsabili.

de: Fahrplanfeldnummern (v2)

en: Timetable Field Numbers (v2)

fr: Numéros de lignes et tableaux-horaires (v2)

it: Numeri di quadri d’orario (v2)

de: Cookbook (Documentation)

en: Cookbook (Documentation)

fr: Cookbook (Documentation)

it: Cookbook (Documentation)

spatial: Spatial


bike-parking

de:
**WICHTIG: Dieser Datensatz wird per 30. Juni 2026 eingestellt, bitte verwenden Sie die neue Version dieses Datensatzes auf**
https://data.opentransportdata.swiss/dataset/bike-and-car-parking

Der Datensatz enthält rund 1200 Fahrrad-Parkings (Velo-Abstellmöglichkeiten / Abstellplätze). Die Daten beziehen sich nur auf die der SBB verfügbaren Orte.

en:
**IMPORTANT: This dataset will be discontinued on Juni 30, 2026. Please use the new version of this data set available on**
https://data.opentransportdata.swiss/dataset/bike-and-car-parking

The data set contains around 1200 bicycle parking spaces (bicycle parking facilities / parking spaces). The data refers only to the locations available to SBB.

fr:
**IMPORTANT: Ce jeu de données sera supprimé le 30 juin 2026. Veuillez utiliser la nouvelle version du jeu de données disponible sur**
https://data.opentransportdata.swiss/dataset/bike-and-car-parking

Le jeu de données contient environ 1200 parkings à vélos (possibilités de stationnement des vélos / places de stationnement). Les données ne concernent que les lieux disponibles pour les CFF.

it:
**IMPORTANTE: questo set di dati verrà dismesso il 30 giugno 2026. Si prega di utilizzare la nuova versione di questo set di dati disponibile su**
https://data.opentransportdata.swiss/dataset/bike-and-car-parking

Il set di dati contiene circa 1200 parcheggi per biciclette (strutture di parcheggio per biciclette / parcheggi). I dati si riferiscono solo alle sedi disponibili per le FFS.

en: proprietary data multi-modal-journey inter-modal-journey parking-space bicycle cyclist

de: embag daten multi-modales-reisen inter-modales-reisen parkplatz fahrrad fahrradfahrer proprietaer

fr: proprietaire lmeta donnees voyage-multimodal voyage-intermodal parking bicyclette bicycliste

it: proprietario lmeca dati multi-modal-transport inter-modal-transport parcheggio bicicletta ciclista

de: Schweizerische Bundesbahnen (SBB)

en: Swiss Federal Railways (SBB)

fr: Chemins de fer fédéraux suisses (CFF)

it: Ferrovie Federali Svizzere (FFS)

de: Velo Abstellmöglichkeiten

en: Bike Parkings

fr: Parkings à bicyclette

it: Parcheggio per biciclette

title_for_slug: bike-parking

format: JSON

media_type: application/json

bicicletta

display_name: bicicletta

bicycle

display_name: bicycle

bicyclette

display_name: bicyclette

bicycliste

display_name: bicycliste

ciclista

display_name: ciclista

cyclist

display_name: cyclist

data

display_name: data

daten

display_name: daten

dati

display_name: dati

fahrrad

display_name: fahrrad

fahrradfahrer

display_name: fahrradfahrer

inter-modal-journey

display_name: inter-modal-journey

inter-modal-transport

display_name: inter-modal-transport

inter-modales-reisen

display_name: inter-modales-reisen

multi-modal-journey

display_name: multi-modal-journey

multi-modal-transport

display_name: multi-modal-transport

multi-modales-reisen

display_name: multi-modales-reisen

parcheggio

display_name: parcheggio

parking

display_name: parking

parking-space

display_name: parking-space

parkplatz

display_name: parkplatz

proprietaer

display_name: proprietaer

proprietaire

display_name: proprietaire

proprietario

display_name: proprietario

proprietary

display_name: proprietary

voyage-intermodal

display_name: voyage-intermodal

voyage-multimodal

display_name: voyage-multimodal


bike-and-car-parking

de:
Zusammengefasstes Datenset für Fahrrad- und Auto-Parkplätze der SBB und weiterer Bahnen aus dem SBB-System SBB Park and Rail (P+Rail). Seit 2025-11-24 ist der Datensatz freigegeben zur Publikation. Ziel per Mitte 2026 ist die Ablösung der bisherigen Datensätze:

- https://data.opentransportdata.swiss/dataset/bike-parking

- https://data.opentransportdata.swiss/dataset/parking-facilities

en:
Aggregated data set from the SBB system SBB Park and Rail (P+Rail) for bicycle and car parking spaces from SBB and other railways. The data set has been released for publication on 2025-11-24. The aim is to replace the existing data sets by mid-2026:

- https://data.opentransportdata.swiss/dataset/bike-parking

- https://data.opentransportdata.swiss/dataset/parking-facilities

fr:
Données regroupées sur les places de stationnement pour vélos et voitures des CFF et d’autres compagnies ferroviaires, issues du système CFF P+Rail (P+Rail). Depuis le 24 novembre 2025, le jeu de données est validé pour publication. L’objectif est de remplacer les jeux de données actuels d’ici à la mi-2026.

- https://data.opentransportdata.swiss/dataset/bike-parking

- https://data.opentransportdata.swiss/dataset/parking-facilities

it:
Record di dati riepilogativo per parcheggi per biciclette e auto delle FFS e di altre ferrovie dal sistema FFS Park and Rail (P+Rail). Dal 2025-11-2024 il record è approvato per la pubblicazione. L’obiettivo è sostituire i precedenti record di dati entro la metà del 2026:

- https://data.opentransportdata.swiss/dataset/bike-parking

- https://data.opentransportdata.swiss/dataset/parking-facilities

en: proprietary data parking-space embag

de: proprietar daten parkplatz embag

fr: imeta donnees parking proprietaire

it: proprietario imeca parcheggio dati

oevch

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

de: Bike and Car Parking

en: Bike and Car Parking

fr: Bike and Car Parking

it: Bike and Car Parking

title_for_slug: bike-and-car-parking

data

display_name: data

daten

display_name: daten

dati

display_name: dati

donnees

display_name: donnees

embag

display_name: embag

imeca

display_name: imeca

imeta

display_name: imeta

proprietar

display_name: proprietar


de: Liste der Haltestellen der Schweiz. Die Didok-Liste wird vom Bundesamt für Verkehr erstellt. Das Original kann unter [https://opendata.swiss/de/dataset/haltestellen-des-offentlichen-verkehrs](https://opendata.swiss/de/dataset/haltestellen-des-offentlichen-verkehrs) bezogen werden.

de: infrastruktur verkehr

schweizerische-bundesbahnen-sbb

fr:
Les CFF sont l’un des piliers d’une mobilité durable en Suisse. Chaque jour, les CFF acheminent 1,18 million de voyageurs et 210 000 tonnes de marchandises, de manière ponctuelle et respectueuse de l’environnement.

Le chemin de fer crée des liens à travers toute la Suisse, par-delà les frontières linguistiques, culturelles et politiques. Du point de vue économique et social, il contribue ainsi à la qualité de vie et à la compétitivité de notre pays. Mais les CFF ne sont pas qu’une entreprise de chemin de fer moderne et performante. En leur qualité d’employeur, de commanditaire, de propriétaire et de gérant d’immeubles, ils sont responsables de la Suisse, de ses régions et de l’environnement.

de:
Die SBB ist das Rückgrat einer nachhaltigen Mobilität in der Schweiz. Täglich sind 1,18 Millionen Reisende und 210'000 Tonnen Güter mit der SBB sicher, pünktlich und umweltfreundlich unterwegs.

Die Eisenbahn verbindet die Schweiz über alle sprachlichen, kulturellen und politischen Grenzen hinweg und leistet in wirtschaftlicher und gesellschaftlicher Hinsicht einen überaus wertvollen Beitrag an die Lebensqualität und Wettbewerbsfähigkeit unseres Landes. Die SBB ist aber weit mehr als ein modernes und leistungsfähiges Bahnunternehmen. Auch als Arbeits- und Auftraggeberin sowie als Immobilienbesitzerin und ‑bewirtschafterin übernimmt sie Verantwortung für die Schweiz, ihre Regionen und die Umwelt.

en:
SBB is the backbone of sustainable mobility in Switzerland. Every day, it safely transports 1.18 million passengers and 210,000 tonnes of freight on time and in an environmentally friendly manner.

The railway transcends all linguistic, cultural and political boundaries to bring Switzerland together, and in economic and social terms, it makes a vital contribution to the quality of life and competitiveness of our country. However, SBB is much more than just a modern, efficient railway company. As an employer and contractor, a property owner and a real estate manager, SBB takes responsibility for Switzerland, its regions and the environment.

it:
Le FFS assumono la loro responsabilità.

Consigliare ad altri

Condividere

Le FFS sono la colonna portante della mobilità sostenibile in Svizzera. Ogni giorno 1,18 milioni di viaggiatori e quasi 210 000 tonnellate di merci viaggiano con le FFS in modo sicuro, puntuale e rispettoso dell'ambiente.

La ferrovia unisce la Svizzera oltre i confini linguistici, culturali e politici e dal punto di vista economico e sociale assicura un contributo oltremodo prezioso alla qualità di vita e alla competitività del nostro Paese. Le FFS tuttavia sono ben più di un'impresa ferroviaria moderna e altamente performante. Esse assumono la loro responsalibità per la Svizzera, le sue regioni e l'ambiente anche come datore di lavoro, di committenti, così come di proprietarie e amministratrici di fondi e di immobili.

de: Schweizerische Bundesbahnen SBB

en: Swiss Federal Railways SBB

fr: Chemins de fer fédéraux suisses CFF

it: Ferrovie federali svizzere FFS

de: schweizerische-bundesbahnen-sbb

value: SBB - DCAT Harvester

tran

de: Verkehr

de: Service Points (Didok) based on opentransportdata.swiss (csv)

de: csv

de: Service Points (Didok) based on opentransportdata.swiss (json)

de: json

de: Service Points (Didok) based on opentransportdata.swiss (fgb)

de: fgb

format: OCTET

de: Service Points (Didok) based on opentransportdata.swiss (geojson)

de: geojson

de: Service Points (Didok) based on opentransportdata.swiss (gpx)

de: gpx

format: GPX

de: Service Points (Didok) based on opentransportdata.swiss (jsonl)

de: jsonl

de: Service Points (Didok) based on opentransportdata.swiss (kml)

de: kml

format: KML

de: Service Points (Didok) based on opentransportdata.swiss (ov2)

format: TXT

media_type: text/plain

de: Service Points (Didok) based on opentransportdata.swiss (parquet)

de: parquet

format: PARQUET

de: Service Points (Didok) based on opentransportdata.swiss (rdfxml)

de: rdfxml

format: RDF XML

media_type: application/rdf+xml

de: Service Points (Didok) based on opentransportdata.swiss (jsonld)

de: jsonld

format: JSON-LD

de: Service Points (Didok) based on opentransportdata.swiss (turtle)

de: turtle

format: RDF Turtle

media_type: text/turtle

de: Service Points (Didok) based on opentransportdata.swiss (n3)

de: Service Points (Didok) based on opentransportdata.swiss (shp)

de: shp

de: Service Points (Didok) based on opentransportdata.swiss (xls)

de: xls


schweizerische-bundesbahnen-sbb

de:
Die SBB ist das Rückgrat einer nachhaltigen Mobilität in der Schweiz. Täglich sind 1,18 Millionen Reisende und 210'000 Tonnen Güter mit der SBB sicher, pünktlich und umweltfreundlich unterwegs.

Die Eisenbahn verbindet die Schweiz über alle sprachlichen, kulturellen und politischen Grenzen hinweg und leistet in wirtschaftlicher und gesellschaftlicher Hinsicht einen überaus wertvollen Beitrag an die Lebensqualität und Wettbewerbsfähigkeit unseres Landes. Die SBB ist aber weit mehr als ein modernes und leistungsfähiges Bahnunternehmen. Auch als Arbeits- und Auftraggeberin sowie als Immobilienbesitzerin und ‑bewirtschafterin übernimmt sie Verantwortung für die Schweiz, ihre Regionen und die Umwelt.

de: Schweizerische Bundesbahnen SBB

de: SBB

de: QS Bestandesaufnahme Behig für Transportunternehmungen


de: Information on ongoing SBB Real Estate construction projects.Updated daily.

de: schweizerische-bundesbahnen-sbb

de: Real Estate construction projects

tran

de: Verkehr

en: Transport

fr: Transports

it: Trasporti

de: Real Estate construction projects (csv)

de: csv

de: Real Estate construction projects (json)

de: json

de: Real Estate construction projects (fgb)

de: fgb

de: Real Estate construction projects (geojson)

de: geojson

de: Real Estate construction projects (gpx)

de: gpx

de: Real Estate construction projects (jsonl)

de: jsonl

de: Real Estate construction projects (kml)

de: kml

de: Real Estate construction projects (ov2)

de: Real Estate construction projects (parquet)

de: Real Estate construction projects (rdfxml)

de: Real Estate construction projects (jsonld)

de: Real Estate construction projects (turtle)

de: Real Estate construction projects (n3)

de: Real Estate construction projects (shp)


zugverkehrsinformationen

de: Rail traffic information is updated every 5 minutes. It contains the most important messages about rail services in Switzerland.

de: traffic service

schweizerische-bundesbahnen-sbb

de:
Die SBB ist das Rückgrat einer nachhaltigen Mobilität in der Schweiz. Täglich sind 1,18 Millionen Reisende und 210'000 Tonnen Güter mit der SBB sicher, pünktlich und umweltfreundlich unterwegs.

Die Eisenbahn verbindet die Schweiz über alle sprachlichen, kulturellen und politischen Grenzen hinweg und leistet in wirtschaftlicher und gesellschaftlicher Hinsicht einen überaus wertvollen Beitrag an die Lebensqualität und Wettbewerbsfähigkeit unseres Landes. Die SBB ist aber weit mehr als ein modernes und leistungsfähiges Bahnunternehmen. Auch als Arbeits- und Auftraggeberin sowie als Immobilienbesitzerin und ‑bewirtschafterin übernimmt sie Verantwortung für die Schweiz, ihre Regionen und die Umwelt.

de: Schweizerische Bundesbahnen SBB

de: schweizerische-bundesbahnen-sbb

de: Rail traffic information

title_for_slug: zugverkehrsinformationen

de: Verkehr

de: Rail traffic information (csv)

de: csv

de: Rail traffic information (json)

de: json

de: Rail traffic information (jsonl)

de: Rail traffic information (parquet)

de: parquet

de: Rail traffic information (rdfxml)

de: rdfxml

de: Rail traffic information (jsonld)

de: jsonld

de: Rail traffic information (turtle)

de: turtle

de: Rail traffic information (n3)

de: Rail traffic information (xls)

de: xls

format: XLS

service

display_name: service

traffic

display_name: traffic


haltestelle-haltekante

schweizerische-bundesbahnen-sbb

de:
Die SBB ist das Rückgrat einer nachhaltigen Mobilität in der Schweiz. Täglich sind 1,18 Millionen Reisende und 210'000 Tonnen Güter mit der SBB sicher, pünktlich und umweltfreundlich unterwegs.

Die Eisenbahn verbindet die Schweiz über alle sprachlichen, kulturellen und politischen Grenzen hinweg und leistet in wirtschaftlicher und gesellschaftlicher Hinsicht einen überaus wertvollen Beitrag an die Lebensqualität und Wettbewerbsfähigkeit unseres Landes. Die SBB ist aber weit mehr als ein modernes und leistungsfähiges Bahnunternehmen. Auch als Arbeits- und Auftraggeberin sowie als Immobilienbesitzerin und ‑bewirtschafterin übernimmt sie Verantwortung für die Schweiz, ihre Regionen und die Umwelt.

de: Schweizerische Bundesbahnen SBB

de: schweizerische-bundesbahnen-sbb

de: Haltestelle-Haltekante

title_for_slug: haltestelle-haltekante

tran

de: Verkehr

de: Haltestelle-Haltekante (csv)

de: Haltestelle-Haltekante (json)

de: Haltestelle-Haltekante (fgb)

de: fgb

de: Haltestelle-Haltekante (geojson)

de: geojson

de: Haltestelle-Haltekante (gpx)

de: gpx

de: Haltestelle-Haltekante (jsonl)

de: jsonl

de: Haltestelle-Haltekante (kml)

de: kml

de: Haltestelle-Haltekante (ov2)

de: Haltestelle-Haltekante (parquet)

de: Haltestelle-Haltekante (rdfxml)

de: Haltestelle-Haltekante (jsonld)

de: Haltestelle-Haltekante (turtle)


baugesuche-im-kanton-zurich

name: Statistisches Amt des Kantons Zürich, Data Shop

de:
In diesen Daten finden Sie sämtliche Bauvorhaben, die im Kanton Zürich beantragt wurden. Die Daten werden im Kanton Zürich erfasst, da für jedes Bauvorhaben ein Baugesuch eingereicht werden muss. Seit 2019 werden diese Gesuche ausschließlich in digitaler Form veröffentlicht.  Die Fach- und Koordinationsstelle OGD (FK OGD) sammelt diese Daten allerdings erst seit dem Herbst 2024, wobei Bauvorhaben mit einigen Ausnahmen bloss ein Jahr in der Datenbank des Amtsblatts öffentlich einsehbar sind. Als Grundlage dafür dienen die Informationen der Gemeinden. Diese erfassen die Baueingaben und übermitteln sie direkt über eine Schnittstelle an die digitale Version des Amtsblatts (siehe "Landing Page"), wo sie gesammelt und der Öffentlichkeit zugänglich gemacht werden. Damit diese Baugesuche in diesem OGD-Datensatz in einer einzelnen Datei bereit gestellt werden können, prüft die FK OGD täglich und automatisiert, ob es neue Baugesuche gegeben hat und fügt allfällige neue Bauvorhaben dem bestehenden Datensatz hinzu. Dabei dienen die Baugesuche nicht nur der Informations- und Dokumentationsfunktion, sondern bilden auch die Grundlage für mögliche Rekurse. Das blosse Baugesuch sagt jedoch nichts darüber aus, was effektiv gebaut wird und es ist mit den vorhandenen Daten nicht möglich, nachzuvollziehen, ob ein Projekt umgesetzt wurde.

Die original Gesuche enthalten genaue Information zu natürlichen und juristischen Personen wie z.B. den Gesuchsstellenden oder der Bauherrschaft. Informationen wie Namen oder Adressen werden in diesen Datensatz jedoch bewusst entfernt. Projektstandorte inkl. BFS- und Kataster-Nummer und Projektbeschriebe werden beibehalten.

de: gemeindeverwaltung wohnungsbau umbau landparzellen infrastruktur bautaetigkeit bauvorhaben bauzonen gemeinden wohnbautaetigkeit

statistisches-amt-kanton-zuerich

de: Das Statistische Amt ist das Kompetenzzentrum für die öffentliche Statistik im Kanton Zürich. Wir versorgen Bevölkerung, Verwaltung, Politik, Gemeinden, Medien, Firmen und sonstige Organisationen mit qualitativ hochstehenden Daten, Informationen und Fakten zum Kanton Zürich. Inhaltlich arbeiten wir unabhängig und objektiv.

de: Statistisches Amt Kanton Zürich

political_level: canton

de: baupub-Repository auf GitHub zum Erstellen des OGD-Datensatzes und interaktiver Karten

de: Variablenbeschreibung

en: Variablenbeschreibung

fr: Variablenbeschreibung

it: Variablenbeschreibung

de: Baugesuche im Kanton Zürich

title_for_slug: baugesuche-im-kanton-zurich

value: ZH-Kt Statistisches Amt - DCAT Harvester

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: Für eine Beschreibung der einzelnen Variablen siehe "weitere Informationen" auf der Startseite des Datensatzes.

de: Die API des Amtsblattportals bietet maschinellen Zugriff auf amtliche Bekanntmachungen aus der Schweiz. Sie erlaubt die strukturierte Abfrage und Integration von Publikationen (z. B. Ausschreibungen, Baugesuche, rechtliche Mitteilungen) in digitale Anwendungen. Die Daten können zum Beispiel nach Kriterien wie Kanton, Zeitraum oder Publikationstyp gefiltert werden.

de: Dokumentation Amtsblattportal API

format: HTML

media_type: text/html

de: Seit 2025 ist für jede Publikation die BFS-Nummer verfügbar, welche in Kombination mit der Kataster-Nummer eine eindeutige Identifikationen der involvierten Liegenschaft(en) zulässt. Es gilt jedoch zu erwähnen, dass die Gemeinden keinen gemeinsamen Standard für die Bereitstellung der Kataster-Nummern haben und daher eine Zuordnung nicht immer möglich ist. Dieses Geo-Package verknüpft die ausgewiesenen Parzellen der Baupublikationen mit dem Liegenschaften-Layer des Kanton Zürichs, was eine räumliche Darstellung der Baugesuche ermöglicht. Eine Code-Vorlage zur Erstellung einer interaktiven Karte findet man im verlinkten GitHub-Repository unter "weitere Informationen" auf der Startseite des Datensatzes.

de: Georeferenzierte Baugesuche im Kanton Zürich ab 2025

format: GPKG

de: Das Erstellen oder Umbauen jeglicher Art von Bauten setzt in der Regel eine Baubewilligung der zuständigen Gemeinde voraus. Dafür muss ein Baugesuch eingereicht werden, das die geplanten Bauarbeiten detailliert beschreibt. Die Karte zeigt alle Baugesuche der letzten 20 Tage im Kanton Zürich. Diese Zeitspanne entspricht auch der gesetzlichen Einsprachefrist. Jeder eingefärbte Standort auf der Karte repräsentiert ein Grundstück mit einem laufenden Baugesuchsverfahren. Weitere Nutzungshinweise sind via dem «Info»-Button am linken Rand der Karte aufrufbar.

de: Karte der Baugesuche innerhalb der Auflagefrist

bautaetigkeit

display_name: bautaetigkeit

bauvorhaben

display_name: bauvorhaben

bauzonen

display_name: bauzonen

gemeinden

display_name: gemeinden

gemeindeverwaltung

display_name: gemeindeverwaltung

infrastruktur

display_name: infrastruktur

landparzellen

display_name: landparzellen

umbau

display_name: umbau

wohnbautaetigkeit

display_name: wohnbautaetigkeit

wohnungsbau

display_name: wohnungsbau


de: Dieser Datensatz enthält die Web Analytics des Datenkatalogs des Kantons Zürich (www.zh.ch/daten). Die Daten zeigen, welche Datensätze (dataset) und Ressourcen (distribution) (siehe Definition in DCAP-AP CH, unten verlinkt) wie oft aufgerufen und besucht wurden. Die Aufrufe und Besuche von externen Webseiten, welche den Datenkatalog eingebunden haben, werden mitgezählt. Aus technischen Gründen werden nicht alle Zugriffe registriert (bei Verwendung von Werbeblockern z.B 'Ad-Blocker'). Wir beziehen die Daten von mehreren Matomo APIs. Datensätze und Ressourcen mit 0 Aufrufen/Besuchenden sind nicht ausgewiesen. Aufrufe über Metadatenkatalog wie opendata.swiss sind nicht ausgewiesen.

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

econ

de: Wirtschaft und Finanzen

en: Economy and finance

fr: Économie et finances

it: Economia e finanze

de: Zeigt die Anzahl Klicks und Besuchende pro Datensatz und Tag.  'Datensatz' entspricht 'dataset' nach DCAP-AP CH.

de: Web Analytics auf Ebene Datensatz

de: Zeigt die Anzahl Klicks auf die 'Herunterladen' oder 'Konvertiere zu Excel' Schaltflächen und die Anzahl Besuchenden welche mindestens einen Klick auf die 'Herunterladen' oder 'Konvertiere zu Excel' Schaltfläche pro Ressource und Tag gemacht haben. 'Ressource' entspricht 'distribution' nach DCAP-AP CH. Zusätzlich wird die Anzahl Downloads (wie oft die Ressource aufgerufen wurde) ausgewiesen. In der Regel sollte die Anzahl Downloads immer höher oder gleich als die Anzahl Klicks auf die Schaltflächen im Datenkatalog sein. Da aber im Zeitraum von September 2023 bis heute aus nicht bekannten Gründen, nicht alle Zugriffe detektiert werden, sind die Zahlen zu den Downloads in diesem Zeitraum nicht abschliessend. Die Anzahl Downloads von Ressourcen, welche nicht auf unserem Webserver gespeichert sind, werden nicht gezählt und ist der Grund warum es bei den Anzahl Downloads zu leeren Werten kommen kann.

de: Web Analytics zu den Zugriffen auf Ebene Ressource

de: Zeigt die Anzahl Klicks und Besuchende der Informationsseite der Ressourcen (Klick auf "Details anzeigen") pro Ressource und Tag. 'Ressource' entspricht 'distribution' nach DCAP-AP CH.

de: Web Analytics 'Details anzeigen' zu Ressourcen

de: Zeigt die Anzahl Klicks und Besuchende pro verwandten Datensatz und Tag. 'Datensatz' entspricht 'dataset' nach DCAP-AP CH. Die Merkmale 'datensatz_id' und 'datensatz_titel' zeigen, von welchem Datensatz aus der Klick auf den verwandten Datensatz erfolgte.

de: Web Analytics auf Ebene verwandter Datensatz

statistik

display_name: statistik


en:
This dataset represents the data shown in the Figures 2 - 7 of Walthert et al. (2024): Coordination between degree of isohydricity and depth of root water uptake in temperate tree species. Science of the Total Environment (https://doi.org/10.1016/j.scitotenv.2024.174346). A detailed methodical description of the data can be found in the Methods section of the paper.
Abstract
In an increasingly dry environment, it is crucial to understand how tree species use soil water and cope with drought. However, there is still a knowledge gap regarding the relationships between species-specific stomatal behaviour, spatial root distribution, and root water uptake (RWU) dynamics.
Our study aimed to investigate above- and below-ground aspects of water use during soil drying periods in four temperate tree species that differ in stomatal behaviour: two isohydric tracheid-bearing conifers, Scots pine and Norway spruce, and two more anisohydric deciduous species, the diffuse-porous European beech, and the ring-porous Downy oak. From 2015 to 2020, soil-tree-atmosphere-continuum parameters were measured for each species in monospecific forests where trees had no access to groundwater. The hourly time series included data on air temperature, vapour pressure deficit, soil water potential, soil hydraulic conductivity, and RWU to a depth of 2 m. Analysis of drought responses included data on stem radius, leaf water potential, estimated osmotically active compounds, and drought damage.
Our study reveals an inherent coordination between stomatal regulation, fine root distribution and water uptake. Compared to conifers, the more anisohydric water use of oak and beech was associated with less strict stomatal closure, greater investment in deep roots, four times higher maximum RWU, a shift of RWU to deeper soil layers as the topsoil dried, and a more pronounced soil drying below 1 m depth. Soil hydraulic conductivity started to limit RWU when values fell below 10-3 to 10-5 cm/d, depending on the soil. As drought progressed, oak and beech may also have benefited from their leaf osmoregulatory capacity, but at the cost of xylem embolism with around 50% loss of hydraulic conductivity when soil water potential dropped below -1.25 MPa. Consideration of species-specific water use is crucial for forest management and vegetation modelling to improve forest resilience to drought.

en: anisohydric water-potential water-use-strategy root-distribution stomatal-stringency

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

en: Water-use strategies of temperate tree species

value: Envidat Harvester

envi

de: Umwelt

en: Environment

fr: Environnement

it: Ambiente

anisohydric

display_name: anisohydric

root-distribution

display_name: root-distribution

stomatal-stringency

display_name: stomatal-stringency

water-potential

display_name: water-potential

water-use-strategy

display_name: water-use-strategy


en:
Catchment-based sampling of river eDNA integrates terrestrial and aquatic biodiversity of alpine landscapes
From 22-Jun-2020 to 26-Jun-2020, we sampled five sites comprising one low, two intermediate and two high-elevation sites per catchment (Fig. 1a). We visited two catchments per day—one in the morning and one in the afternoon—for a total of ten catchments. All samples per catchment were collected within a maximum four-hour period by three groups of samplers. The intermediate and high-elevation sites were situated along two tributaries leading into the low-elevation site of the river. We used three filters for each relative elevation class and filtered 60 L per relative elevation class. We sampled 30 L per tributary for a combined volume of 60 L at the intermediate and high-elevation sites. In total, 180 L were sampled in total per catchment. A filtration device composed of either the Athena® peristaltic pump (Proactive Environmental Products LLC; 1 L/min nominal flow) or the Subspace® underwater peristaltic pump (Subspace Pictures; 1 L/min nominal flow), combined with a VigiDNA® 0.2 µM cross-flow filtration capsule (VigiDNA, SPYGEN) was used in order to filter a large water volume. We used a finer mesh than the recommended VigiDNA® 0.45 µM cross-flow filtration capsule to maximise the capture of biological material since mountain water does not transport high quantities of sediments. For each filtration capsule, we used disposable sterile tubing. At the end of each filtration, we emptied the water inside the capsules, replaced it with 80 ml of CL1 conservation buffer (SPYGEN), and stored it at room temperature. We followed a strict contamination control protocol in both field and laboratory stages (Goldberg et al. 2016; Valentini et al. 2016). Each water sample was processed using disposable gloves and single-use filtration equipment. We used two primer sets targeting vertebrates (Vert01, forward: − TTAGATACCCCACTATGC, reverse: − TAGAACAGGCTCCTCTAG, mean marker length: 97 bp) and spermatophytes (g-h/Sper01, forward: − GGGCAATCCTGAGCCAA, reverse: CCATTGAGTCTCTGCACCTATC, mean marker length: 48 bp). Though both primers are relatively broad with low species-level resolution, we selected them as the goal was to minimise cost and effort and maximise the identification of a broad range of taxa which can represent the species assemblages of the region. Libraries were prepared with ligation using the MetaFast protocol (Fasteris).

en: environmental-dna spermatophytes sper01 edna switzerland vertebrates vert01 freshwater

en: Environmental DNA Freshwater Switzerland VaudCatchment Modipl 2020

edna

display_name: edna

environmental-dna

display_name: environmental-dna

freshwater

display_name: freshwater

spermatophytes

display_name: spermatophytes

switzerland

display_name: switzerland

vertebrates

display_name: vertebrates


en:
Environmental DNA complements scientific trawling in surveys of marine fish biodiversity (Dataset 2020)
In October 2020 we chose 16 sites from the 2020 EVHOE survey for eDNA sampling. The French international EVHOE bottom trawl survey is carried out annually during autumn in the BoB to monitor demersal fish resources. All sites were located on the continental shelf (26–170 m depth), except one on the upper slope with a depth of 1045 m. To perform eDNA sampling, we collected water samples at 15 sites (Figure 1a). At each site, we sampled seawater using Niskin bottles deployed with a circular rosette. There were nine bottles on the rosette, each of them able to hold ∼5 l of water. At each site, we first cleaned the circular rosette and bottles with freshwater, then lowered the rosette (with bottles open) to 5 m above the sea bottom, and finally closed the bottles remotely from the boat. The 45 l of sampled water was transferred to four disposable and sterilized plastic bags of 11.25 l each to perform the filtration on-board in a laboratory dedicated to the processing of eDNA samples. To speed up the filtration process, we used two identical filtration devices, each composed of an Athena® peristaltic pump (Proactive Environmental Products LLC, Bradenton, Florida, USA; nominal flow of 1.0 l min–1 ), a VigiDNA 0.20 μm filtration capsule (SPYGEN, le Bourget du Lac, France), and disposable sterile tubing. Each filtration device filtered the water contained in two plastic bags (22.5 l), which represent two replicates per sampling site. We followed a rigorous protocol to avoid contamination during fieldwork, using disposable gloves and single-use filtration equipment and plastic bags to process each water sample. At the end of each filtration, we emptied the water inside the capsule that we replaced by 80 ml of CL1 conservation buffer and stored the samples at room temperature following the specifications of the manufacturer (SPYGEN, Le Bourget du Lac, France). We processed the eDNA capsules at SPYGEN, following the protocol proposed by Polanco-Fernández et al., (2020). We performed library preparation and sequencing at Fasteris (Geneva, Switzerland). Specifically, we prepared four libraries using the MetaFast protocol (a ligation-based method) and sequenced them separately. We carried out paired-end sequencing using a MiSeq sequencer (2 × 125 bp, Illumina, San Diego, CA, USA) on two MiSeq Flow Cell Kits (v3; Illumina), following the manufacturer’s instructions. We analysed the sequence reads using the OBITools package (http:
//metabarcoding.org/obitools; Boyer et al., 2016), following the protocol described by Valentini et al. (2016).
Data content:
	* rawdata/: contains the raw reads for each individual sample. One archive contains the paired-end reads specified by the _R1 or _R2 suffix as well as individually tagged PCR replicates (if available) together with an archive containing all extraction and PCR blank samples of the library. Reads have been demultiplexed using cutadapt but not trimmed, individual demultiplexing tags and primers remain present in the sequences.
	* taxadata/: contains the table with all detected taxonomy for each sample after bioinformatic processing (see Polanco et al. 2020 for details; https://doi.org/10.1002/edn3.140) and associated field metadata.
	* metadata/: contains two metadata files, one related to the data collected in the field for each filter, and the second related to the sequencing process in the lab (including the tag sequence, library name, and marker information for each sample)

en: teleo atlantic-region fish-composition edna dna-metabarcoding chondrichthyes bay-biscay actinopterygii

en: Environmental DNA Marine France Evhoe 2020

actinopterygii

display_name: actinopterygii

atlantic-region

display_name: atlantic-region

bay-biscay

display_name: bay-biscay

chondrichthyes

display_name: chondrichthyes

dna-metabarcoding

display_name: dna-metabarcoding

fish-composition

display_name: fish-composition

teleo

display_name: teleo


en:
Nuclear microsatellite markers and genotype data for _Trichopria ddrosophilae_
This data set comprises (i) the characteristics of a set of 21 species-specific nuclear microsatellites for PCR amplification in _Trichopria drosophilae_ (ii) and genotype data for samples collected in southern Switzerland (Canton of Ticino), with few reference samples from Canton of Vaud, southern Germany, and northern Italy (lab-reared population).
Markers were developed by Ecogenics GmbH, Balgach (Switzerland), using MiSeq Nano 2x250 v2 format (on a mix of 10 individuals). Multiplex PCR assays for multilocus genotyping were established by Ecological Genetics (WSL Birmensdorf), and population genetic analyses are found in Gugerli et al., Agrarforschung Schweiz 2019.

en: trichopria-drosophilae nuclear-microsatellite-markers population-genetics simple-sequence-repeats switzerland biological-control multilocus-genotypes drosophila-suzukii

en: Nuclear microsatellite markers for Trichopria drosophilae, parasitoid wasp on Drosophila suzukii

en:
Resource Title: Trichopria-drosophilae_nuclear-microsatellite-multilocus-genotype_dataset
    Size: 100131 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/a69b5f91-0e30-45ba-9d42-06db76b549c4/resource/9998d313-6c9a-4abc-b83b-a5b0c31c07cb/download/trichopriadrosophilae_nucmicrosat_genotypes.csv
    Description: Multilocus genotypes (biallelic coding for 21 nuclear microsatellites) of Trichopria drosophilae described in Gugerli et al. Agrarforschung Schweiz 2019. Missing data denoted as '999'. Population codes (PopNo) are the following: 1, Vezia; 3, Contone ; 5, Davesco; 6, Corteglia; 7, Mezzana; 8, Stabio; 9, Gordola; 10, Sementina; 12, Brusata di Novazzano; 14, Monteggio; 16, Giubiasco; 17, ComoBP; 18, VD; 19, Weil_D; 20, Dossenheim; 21, BioPlanet_Como. Coordinates (CoordCH_E, CoordCH_N) refer to the Swiss coordinates system CH1903.

en:
Resource Title: Trichopria-drosophilae_nuclear-microsatellite-markers_characteristics
    Size: 6134 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/a69b5f91-0e30-45ba-9d42-06db76b549c4/resource/9bd01ee4-8334-4d38-b64e-806fc839fa8c/download/trichopriadrosophilae_nucmicrosat_seqinfo.csv
    Description: Table comprising all pertinent information for multiplex PCRs of species-specific nuclear microsatellite makers for Trichopria drosophilae, comprising all 21 newly developed markers, details on full sequences with GenBank accession numbers, primer sequences (including labeling and pig-tails), and repeat motives. PCRs with respective annealing temperatures (AnnealingTemp) refer to Type-It Multiplex PCR Kit (Qiagen, Hilden, Germany).

biological-control

display_name: biological-control

drosophila-suzukii

display_name: drosophila-suzukii

multilocus-genotypes

display_name: multilocus-genotypes

nuclear-microsatellite-markers

display_name: nuclear-microsatellite-markers

population-genetics

display_name: population-genetics

simple-sequence-repeats

display_name: simple-sequence-repeats

trichopria-drosophilae

display_name: trichopria-drosophilae


en:
Fish taxonomic, functional and phylogenetic composition variations recovered from eDNA metabarcoding along the coast of Curacao
In February 2020, we collected a total of 20 water samples, from 10 stations, with two filtration replicates per station, in the two investigated coastal areas. Each station consisted of a transect of 2 km at an overall constant distance from the coast. We recorded the GPS coordinates at the start and end of the transect, which we used to map the transect positions. We conducted eDNA sampling by using a filtration device composed of an Athena® peristaltic pump (Proactive Environmental Products LLC, Bradenton, Florida, USA; nominal flow of 1.0 L/min), a VigiDNA® 0.20 μM cross-flow filtration capsule (SPYGEN, le Bourget du Lac, France) and disposable sterile tubing for each filtration capsule. We performed two filtration replicates in parallel on each side of a boat, at each station, for 30 min corresponding to a volume of ~30 L of water filtered by each capsule. At the end of each filtration, the water inside the capsules was emptied, and we filled the capsules with 80 ml of CL1 Conservation buffer (SPYGEN, le Bourget du Lac, France) and stored at room temperature. We followed a strict contamination control protocol in both field and laboratory stages (Valentini et al., 2016). Each water sample processing included the use of disposable gloves and single-use filtration equipment to avoid any risk of contamination. Libraries were prepared with ligation using the MetaFast protocol (Fasteris).

en: curacao marine fish edna fish-composition caribbean-region coral-reefs teleo environmental-dna

en: Environmental DNA Marine Curacao 2020

caribbean-region

display_name: caribbean-region

coral-reefs

display_name: coral-reefs

curacao

display_name: curacao

edna

display_name: edna

environmental-dna

display_name: environmental-dna

fish

display_name: fish

marine

display_name: marine


en:
This dataset contains Community Land Model 5 (CLM5) simulation output over the spatial extent of Switzerland at different resolutions and based on a range of input datasets. It further contains land-use surface data used for the CLM5-simulations.
**Detailed description of the CLM5  simulation setup and the various input datasets  can be found in the accompanying publication: https://doi.org/10.5194/egusphere-2023-1832.**
 CLM5 simulation output
This dataset includes gridded CLM5 simulations of snow depth, gross primary productivity (GPP) and evapotranspiration at different resolutions ( 1km, 0.25° and 0.5°) and based on a range of input datasets over the spatial extent of Switzerland (see folder *gridded_CLM5_simulations*). Additionally, point-scale CLM5 simulations of snow depth and snow-water-equivalent at 36 snow-station locations (see folder *point_scale_CLM5_simulations*) are included. Latitude, longitude and elevation for these station locations can be found in table A1 of the above-mentioned publication. All simulation output spans from 01/01/2015 - 31/12/2019.
Included CLM5 simulation results are based on 3 different meteorological forcing datasets:
* Clim_CRU: standard global dataset, we used the recent state-of-the-art standrd global dataset CRU-JRA (https://catalogue.ceda.ac.uk/uuid/aed8e269513f446fb1b5d2512bb387ad)
* Clim_CRU*: ClimCRU upraded by downscaling temperature data using a temperature lapse rate of -6.5K/1000m and a high-resolution DEM
* Clim_OSHD: highest level of detail, meteorological forcing generated according to methods developed by the Operational Snow Hydrological Service (OSHD), at 1km spatial and 1hour temporal resolution-/li-
 Land-use surface data
This dataset further includes forcing land surface datasets used for the CLM5 simulations at 1km, 0.25° and 0.5° resolution (see folder *surface_landuse_datasets*). For the 1km resolution both the standard global (LU_Gl) and the high-resolution dataset (LU_HR), which includes a higher level of detail and is based on a more up-to-date land use datase, are provided. More details on these two datasets can be found in the above-mentioned publication.

en: evapotranspiration oshd land-use land-cover snow high-resolution clm5 forest-productivity snow-simulation

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

en: Multi-resolution CLM5 simulations across Switzerland

en:
Resource Title: gridded_CLM5_simulations.zip
    Size: 1275381556 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/5c9bd5b4-baf0-4aa3-83c0-0864f9275f4e/resource/2a1eed91-e1dd-41dd-993f-8533051685b9/download/gridded_clm5_simulations.zip
    Description: 12 gridded CLM5 simulations over the spatial extent of Switzerland:
- 1km, 0.25deg, 0.5deg
- 3 different meteorological forcings (Clim_CRU, CLIM_CRU*, CLIM_OSHD)
- 2 different land use forcings
each with the following outputs:
- daily snow depth (file SNOW_DEPTH.nc)
- monthly summed gross primary production (file FPSN_MONTH_SUM.nc)
- monthly summed evapotranspiration (file QFLX_EVAP_TOT_MONTH_SUM.nc).
Temporal extent of all simulations: 01/01/2015 - 31/12/2020.

en:
Resource Title: surface_landuse_datasets.zip
    Size: 127856024 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/5c9bd5b4-baf0-4aa3-83c0-0864f9275f4e/resource/bb64e97d-c86d-491a-8671-b3f010812344/download/surface_landuse_datasets.zip
    Description: Forcing land surface datasets used for the CLM5 simulations at 1km, 0.25° and 0.5° resolution. For the 1km resolution both the standard global (LU_Gl) and the high-resolution dataset (LU_HR) are provided.

en:
Resource Title: point_scale_CLM5_simulations.zip
    Size: 4515857 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/5c9bd5b4-baf0-4aa3-83c0-0864f9275f4e/resource/7e90ee76-d274-4add-8f66-d7f75c1f3621/download/point_scale_clm5_simulations.zip
    Description: Point-scale CLM5 simulation output of snow depth and snow water equivalent for 9 different simulation scenarios, each performed at 36 snow station locations across Switzerland. Please have a look at table A1 in the appendix of the linked publication for coordinates of the stations. Additional information on the setup, and the differences between simulation setups can also be found in the linked publication.

evapotranspiration

display_name: evapotranspiration

forest-productivity

display_name: forest-productivity

high-resolution

display_name: high-resolution

land-cover

display_name: land-cover

land-use

display_name: land-use

oshd

display_name: oshd

snow

display_name: snow

snow-simulation

display_name: snow-simulation


snow-height-classification-dataset

en:
Snow Height Classification dataset provides manually annotated snow height data that can be used for development and evaluation of automatic snow height classification approaches.
A subset of 20 IMIS stations which span different locations and elevations and vary in underlying surface (e.g., vegetation, bare ground, glacier, etc.) were selected and manually annotated with binary two-class ground truth information regarding snow height data:
 * **Class 0 - Snow** - the surface is covered by snow
 * **Class 1 - No Snow** - the surface is snow-free (e.g., vegetation, soil, rocks, etc.)
Data has been annotated with the help of domain experts. It should be mentioned that annotating historical data is problematic, as there is no way of checking whether there really was snow at the station or not. This means that assessing the presence of snow with the help of information from other sensors should be considered a best effort approach.
Besides the annotated snow height data, the dataset also contains additional data which are relevant to reproduce results in the following repository:
[https://gitlabext.wsl.ch/jan.svoboda/snow-height-classification](https://gitlabext.wsl.ch/jan.svoboda/snow-height-classification)
Any further use of the data has to comply with the CC BY-NC license:
[https://creativecommons.org/licenses/by-nc/4.0/](https://creativecommons.org/licenses/by-nc/4.0/)

en: snow-height machine-learning imis snow-depth deep-learning

en: Snow Height Classification Dataset

title_for_slug: snow-height-classification-dataset

envi

en: Environment

en:
Resource Title: snow-height-classification-dataset.zip
    Size: 5658619412 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.512/snow-height-classification-dataset.zip
    Description:

en:
Resource Title: Data Access
    Size: 21474836480 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fenvicloud%2F&prefix=doi%2Fenvidat.512%2Fsnow-height-classification-dataset%2F
    Description:

deep-learning

display_name: deep-learning

imis

display_name: imis

machine-learning

display_name: machine-learning

snow-depth

display_name: snow-depth

snow-height

display_name: snow-height


root-traits

en:
Fine-root traits of Scots pine in response to enhanced soil water availability deriving from long-term irrigation in the Pfynwald
Data_Fig.1.xlsx
Fine-root biomass of the topsoil (0-10 cm) in the dry and irrigated treatment of the Scots pine forest of the years 2003 to 2016 recorded by soil coring
Data_Tab1+2_2005.xlsx
Fine-root traits from roots of ingrowth cores from 2005 after two years of growth in the dry and irrigated treatment of the Scots pine forest
Data_Tab1+2_2016.xlsx
Fine-root traits from roots of ingrowth cores from 2016 after two years of growth, and from roots of the soil-coring sampling from 2016 in the dry and irrigated treatment of the Scots pine forest

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

en: Root-traits

title_for_slug: root-traits

belowground-biomass

display_name: belowground-biomass

drought

display_name: drought

fine-root-traits

display_name: fine-root-traits

ingrowth-cores

display_name: ingrowth-cores

soil-coring

display_name: soil-coring


en: Urbanization poses threats and opportunities for the biodiversity of wild bees. A main gap relates to the food preferences of wild bees in urban ecosystems, which usually harbour large numbers of plant species, particularly at the larval stage. This data sets describes the larval food of four wild bee species (i.e. Chelostoma florisomne, Hylaeus communis, Osmica bicornis and Osmia cornuta) and three genera (i.e. Chelostoma sp., Hylaeus sp, and Osmia sp.) common in urban areas in five different European cities (i.e. Antwerp, Paris, Poznan, Tartu and Zurich). This data results from a European-level study aimed at understanding the effects of urbanization on biodiversity across different cities and citiscapes, and a Swiss project aimed at understanding the effects of urban ecosystems in wild bee feeding behaviour. Wild bees were sampled using standardized trap-nests in 80 sites (32 in Zurich and 12 in each of the remaining cities), selected following a double gradient of available habitat at local and landscape scales. Larval pollen was obtained from the bee nests and identified using DNA metabarconding. The data provides the plant composition at the species or genus level of the different bee nests of the studied species in the studied sites of the five European cities. For Hylaeus communis, this is the first study in reporting larval food composition.

en: paris osmia-cornuta urban-ecology plant-pollinator-interactions poznan antwerp dna-metabarcoding trap-nest cavity-nesting-bees hylaeus-communis osmia-bicornis chelostoma-florisomne tartu zurich

en: Larval food composition of four wild bee species in five European cities

en:
Resource Title: Larval food composition
    Size: 222187 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/281173e2-361c-4953-8267-20ac6cf61588/resource/549272fe-1219-4eaf-bb06-4e0d130662a6/download/21092021_responses_metabarcoding_clean.csv
    Description:

en:
Resource Title: Information on the study sites
    Size: 14688 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/281173e2-361c-4953-8267-20ac6cf61588/resource/8c2661c3-d559-4820-98e7-e0d3ce3c4f0b/download/16072024_study_sties.csv
    Description: For each site, IDs, city, coordinates, structure where trapnest was attahced and height of the trapnest is provided

en:
Resource Title: Explanation data variables
    Size: 4090 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/281173e2-361c-4953-8267-20ac6cf61588/resource/a1a07896-7189-46b7-9fb7-c10e4f06d6c4/download/readme.csv
    Description:

antwerp

display_name: antwerp

cavity-nesting-bees

display_name: cavity-nesting-bees

chelostoma-florisomne

display_name: chelostoma-florisomne

dna-metabarcoding

display_name: dna-metabarcoding

hylaeus-communis

display_name: hylaeus-communis

osmia-bicornis

display_name: osmia-bicornis

osmia-cornuta

display_name: osmia-cornuta

paris

display_name: paris

plant-pollinator-interactions

display_name: plant-pollinator-interactions

poznan

display_name: poznan

tartu

display_name: tartu

trap-nest

display_name: trap-nest

urban-ecology

display_name: urban-ecology

zurich

display_name: zurich


en:
This dataset includes the FORTRAN code of the FSM2trans model version used in the paper: Quéno et al., Snow redistribution in an intermediate-complexity snow hydrology modelling framework, The Cryosphere, 2024.
The FSM2trans code is derived from the FSM2 model (Essery et al., 2015) and its variant FSM2oshd (Mott et al., 2023). In this model, we implemented and adapted the snowdrift model SnowTran-3D (Liston et al., 2007) and the avalanching model SnowSlide (Bernhardt and Schulz, 2010).
This dataset does not include the processing scripts to prepare meteorological input data for the model, provided as bin files.

en: avalanche snowpack source-code snowdrift snow-modelling

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

en: FSM2trans code

en:
Resource Title: namelist.zip
    Size: 1490 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/d2398461-752f-4984-a944-2e565ed0c1ce/resource/b59836a9-e725-4276-92d2-d3e17efc0966/download/namelist.zip
    Description:

en:
Resource Title: code.zip
    Size: 90894 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/d2398461-752f-4984-a944-2e565ed0c1ce/resource/2f7b6697-4863-4ab8-8975-11603ba6dd5e/download/code.zip
    Description:

en:
Resource Title: README.txt
    Size: 957 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/d2398461-752f-4984-a944-2e565ed0c1ce/resource/7446d1e9-634a-4da1-b7ef-7ffc28ea61c4/download/readme.txt
    Description:

avalanche

display_name: avalanche

snow-modelling

display_name: snow-modelling

snowdrift

display_name: snowdrift

snowpack

display_name: snowpack

source-code

display_name: source-code


en:
The data was generated during a landscape experiment performed on 69 plots in Sihlwald forest between 2016 and 2019. Branch bundles of different sizes consisting of beech branches were exposed in the forest for one year to be colonized by saproxylic beetles and later reared for one year in emergence traps. All beetles emerging from the branches were collected. Overall 244 branch bundles are included and we found 66 beetles species (23511 individuals) of which 43 were classified as saproxylic (20873 individuals).
 Species data (2 tables)
Two community matrices (including abundance): one for saproxylic beetles and one for all beetles. Beetles were classfied as saproxylic following an extended list of the list reported in Schmidl & Bussler (2004).
 Model data (1 table)
*Response variables*
Species richness and abundance of (saproxylic) beetles.
*Branch bundles*
Branch bundles consisted of 1, 3, 6 or 12 branches and each bundle size was installed at each of the 69 plots. The bundles consisted of standardized freshly cut beech branches (Fagus sylvatica) with a length of 80 cm and a diameter between 3 and 6 cm. Total surface and volume of each bundle is reported.
*Tree on which the bundle was installed*
Information on the tree to which the bundles were attached (tree species, dbh, distance and azimut from the plot center).
*Temperature and light availability*
Temperature (plot level) and light availability (bundle level) were calculated.
*Deadwood availability in the landscape*
Based on a map of lying dead wood, dead wood amount and isolation were calculated for concentric circles with a radius ranging from 20 to 200 m (in 10 m steps) around each branch bundle.
 Variable descriptions (1 table)

en: habitat-heterogeneity sloss colonisation habitat-availability conservation forest-management saproxylic-beetles dead-wood biodiversity

en: Beetle communities reared from beech branches and associated forest and environmental variables

envi

en: Environment

en:
Resource Title: Forest and environmental variables
    Size: 158262 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/bdc548f5-00b1-4d6b-9b97-13d9016002e4/resource/66dbaff5-2b06-4e82-9f92-9e40d298f938/download/data_branch_bundles.csv
    Description: Data on the branch bundle, forest and environmental variables

en:
Resource Title: Community matrix (saproxylic beetles)
    Size: 23120 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/bdc548f5-00b1-4d6b-9b97-13d9016002e4/resource/1873211d-631c-493e-a998-103395d5de43/download/abundance_saproxylics.csv
    Description: Abundances of saproxylic beetle species for each branch bundle

en:
Resource Title: Community matrix (all beetles)
    Size: 34872 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/bdc548f5-00b1-4d6b-9b97-13d9016002e4/resource/30938085-43a4-43f0-bdde-2f57dd557064/download/abundance_all_beetles.csv
    Description: Abundances of all beetle species for each branch bundle

en:
Resource Title: Variable description
    Size: 3005 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/bdc548f5-00b1-4d6b-9b97-13d9016002e4/resource/8113973a-149d-4514-8b03-11201870881c/download/variable_description.csv
    Description: Detailed description of the forest and environmental variables

biodiversity

display_name: biodiversity

colonisation

display_name: colonisation

conservation

display_name: conservation

dead-wood

display_name: dead-wood

forest-management

display_name: forest-management

habitat-availability

display_name: habitat-availability

habitat-heterogeneity

display_name: habitat-heterogeneity

saproxylic-beetles

display_name: saproxylic-beetles

sloss

display_name: sloss


en: The dataset contains seven environmental layers (average annual temperature, aridity [annual precipitation divided by annual potential evapotranspiration], frost change frequency, precipitation in the driest quarter, mean diurnal temperature range, and precipitation seasonality) modified from CHELSA (https://chelsa-climate.org/) and three soil layers (soil organic matter content, pH water, and clay content) modified from SoilGrids (https://soilgrids.org/).

en: sdms frost-change-velocity ground-temperature soil precipitation aridity

en: Environmental layers for SDM simulations (GDPlants)

en:
Resource Title: CHELSA_bio10_15_preped.tif
    Size: 235427681 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/7758e97b-7bf0-42d5-8587-2d88f82180e8/resource/d37b7265-9729-48da-9543-30db55d6a72d/download/chelsa_bio10_15_preped.tif
    Description: Precipitation seasonality from CHELSA

format: TIFF

media_type: image/tiff

en:
Resource Title: CHELSA_bio10_02_preped.tif
    Size: 170864899 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/7758e97b-7bf0-42d5-8587-2d88f82180e8/resource/09b74779-e536-46fd-9b22-cd02e121f9b6/download/chelsa_bio10_02_preped.tif
    Description: Mean diurnal range modified from CHELSA

en:
Resource Title: CHELSA_bio10_17_tranformed.tif
    Size: 295725568 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/7758e97b-7bf0-42d5-8587-2d88f82180e8/resource/b896d859-ff77-46d4-9e8f-dc87f9b1e88f/download/chelsa_bio10_17_tranformed.tif
    Description: Precipitation of driest quarter modified from CHELSA

en:
Resource Title: CLYPPT_M_sl1_1km_ll_preped.tif
    Size: 200847715 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/7758e97b-7bf0-42d5-8587-2d88f82180e8/resource/4fd1317c-6869-4ada-8e7b-f10f7d154ca8/download/clyppt_m_sl1_1km_ll_preped.tif
    Description: Soil clay content modified from SoilGrids

en:
Resource Title: CHELSA_FCF_1979-2013_V1.2_preped.tif
    Size: 142268147 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/7758e97b-7bf0-42d5-8587-2d88f82180e8/resource/473d3b79-6926-4409-b047-6c418c1eb450/download/chelsa_fcf_1979-2013_v1.2_preped.tif
    Description: Frost change frequency modified from CHELSA

en:
Resource Title: aridity_transformed.tif
    Size: 1004802161 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/7758e97b-7bf0-42d5-8587-2d88f82180e8/resource/332b3970-b592-4a5f-a24d-5d4ff6ede9cf/download/aridity_tranformed.tif
    Description:

en:
Resource Title: ORCDRC_M_sl1_1km_ll_tranformed.tif
    Size: 380997791 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/7758e97b-7bf0-42d5-8587-2d88f82180e8/resource/561e7b40-585a-4b0c-afe3-930791ea37ec/download/orcdrc_m_sl1_1km_ll_tranformed.tif
    Description: Soil organic carbon content modified from SoilGrids

en:
Resource Title: CHELSA_bio10_01_preped.tif
    Size: 265375925 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/7758e97b-7bf0-42d5-8587-2d88f82180e8/resource/eeb36514-fe36-4b7f-aae3-5ff64984b2de/download/chelsa_bio10_01_preped.tif
    Description: Mean annual temperature modified from CHELSA

en:
Resource Title: PHIHOX_M_sl1_1km_ll_preped.tif
    Size: 187284692 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/7758e97b-7bf0-42d5-8587-2d88f82180e8/resource/4381dafd-effe-4a3b-8498-ccb3f0eb95c4/download/phihox_m_sl1_1km_ll_preped.tif
    Description: Soil pH modified from SoilGrids

aridity

display_name: aridity

frost-change-velocity

display_name: frost-change-velocity

ground-temperature

display_name: ground-temperature

precipitation

display_name: precipitation

sdms

display_name: sdms

soil

display_name: soil


en:
This dataset contains all data and R codes (R Development Core Team, https://www.R-project.org) used in the following publication: Donati GFA, Parravicini V, Leprieur F, Hagen O, Gaboriau T, Heine C, Kulbicki M, Rolland J, Salamin N, Albouy C, Pellissier L. "A process-based model supports an association between dispersal and the prevalence of species traits in tropical reef fish assemblages" accepted by Ecography in August 2019. When using this data and R scripts the above publication should be cited.
The interaction of habitat dynamics with species dispersal abilities could generate gradients
in species diversity and prevalence of life-history and ecological traits, when the latter are associated with dispersal potential. In this dataset, we use a spatial mechanistic model of speciation, extinction and dispersal, constrained by a dispersal parameter. This model allows to simulate the interplay between reef habitat dynamics over the past 140 million years and dispersal, shaping lineage diversification history and global assemblage composition of over 6000 tropical reef fish species. Global trait distribution data of tropical reef fish are used to evaluate the congruence between simulations and observations.

en: biodiversity reef-fish traits ecology dispersal

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

en: Simulated and observed prevalence of dispersal-related traits in tropical reef fish assemblages worldwide

envi

en: Environment

en:
Resource Title: Coral reef grid cells (shape, dbf, etc. files)
    Size: 12441 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/6b06ad48-bd85-47a8-b478-0850b6def1a4/resource/7b6a4981-0f00-432c-9ed8-502c43126613/download/grid_4326_files.zip
    Description: Grid cells of 5 × 5°, corresponding to circa 555 × 555 km at the Equator (see Parravicini et al. 2013, Leprieur et al. 2016)

Parravicini, V. et al. 2013. Global patterns and predictors of tropi- cal reef  sh species richness. – Ecography 36: 1254–1262.

Leprieur, F. et al. 2016. Plate tectonics drive tropical reef biodiver- sity dynamics. – Nat. Commun. 7: 11461.

en:
Resource Title:
    Size: 17762 bytes
    Format: application/x-r-data
    URL: https://www.envidat.ch/dataset/6b06ad48-bd85-47a8-b478-0850b6def1a4/resource/95d1d60f-7dc9-4c51-992e-baaca842c296/download/cong_sim_obs_trait_prop.rdata
    Description: Input for spatial congruence test overlap between proportions of low and high  dispersal and observed low- and high- dispersal-related traits in assemblages (30-50% threshold). see Table 2.

en:
Resource Title: Main text figures
    Size: 15475 bytes
    Format: text/x-r
    URL: https://www.envidat.ch/dataset/6b06ad48-bd85-47a8-b478-0850b6def1a4/resource/c0870690-1143-4ac8-957a-2bfd2d6c96e3/download/donati_et_al_dispersal_global_prevalence_traits_figures_main_text.r
    Description: R Script used for figures in main text in: Donati et al. 2019: "A process-based-model supports an association between dispersal and the prevalence of species traits in tropical reef fish assemblages" accepted in Ecography, August 2019.

en:
Resource Title: Global species distribution of tropical reef fish species
    Size: 3224423 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/6b06ad48-bd85-47a8-b478-0850b6def1a4/resource/f554c199-621c-4c60-9566-e3ae1d9479b0/download/fishnet_gaspar_code.csv
    Description: Each species corresponds to a "Gaspar_code" gathered from the General Approach to Species Abundance Relationships (GASPAR) database (Kulbicki et al. 2013, Parravicini et al. 2013) and is linked to a specific Fishned ID corresponding to a specific Latitude and Longitude.

en:
Resource Title: Global simulated distribution of species under a range of dispersal parameter values
    Size: 30514436 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/6b06ad48-bd85-47a8-b478-0850b6def1a4/resource/471350ea-cbf8-409e-a8cc-55a84fe4a8cd/download/matrix_sim_sprichness.txt
    Description: Global distribution of simulated species richness under a range of dispersal parameter values d
d ∈ [1.75°: 5.45°].

en:
Resource Title: Simulated rates of speciation and extinction under a range of dispersal parameters.
    Size: 8135 bytes
    Format: application/x-rds
    URL: https://www.envidat.ch/dataset/6b06ad48-bd85-47a8-b478-0850b6def1a4/resource/3b9df6ee-3cc3-4760-a51c-8241db1fa78c/download/rates.rds
    Description: Simulated rates of speciation and extinction under a range of dispersal parameters. Net diversification rates are calculated from the difference between speciation and extinction rates. This data allows the creation of Figure A4 in Supporting information, Appendix 1.

en:
Resource Title: Tropical reef fish trait data
    Size: 428195 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/6b06ad48-bd85-47a8-b478-0850b6def1a4/resource/a5227230-5514-4bdc-b81d-b38d5aaea5cb/download/sp_ecological_trait_data.csv
    Description: Species trait (i.e. adult body size, home range mobility behaviour, circadian activity and schooling) data gathered from the General Approach to Species Abundance Relationships (GASPAR) database (Kulbicki et al. 2013, Parravicini et al. 2013).

Kulbicki, M. et al. 2013. Global biogeography of reef  shes: a hier- archical quantitative delineation of regions. – PLoS One 8: e81847.

Parravicini, V. et al. 2013. Global patterns and predictors of tropi- cal reef  sh species richness. – Ecography 36: 1254–1262.

To complement the trait data with Pelagic Larval Duration information refer to the following publication:

Luiz, Osmar J., et al. "Adult and larval traits as determinants of geographic range size among tropical reef fishes." Proceedings of the National Academy of Sciences 110.41 (2013): 16498-16502.

In Donati et al. "A process-based model supports an association between dispersal and the prevalence of species traits in tropical reef fish assemblages" accepted in Ecography in August 2019, we used the PLD gathered from Luiz et al. 2013 as described in the methods - section "Species trait data".

en:
Resource Title: Functions used in R scripts in: Donati et al. 2019 "A process-based-model supports an association between  # dispersal and the prevalence of species traits in tropical reef fish assemblages" accepted in Ecography, August 2019
    Size: 8444 bytes
    Format: text/x-r
    URL: https://www.envidat.ch/dataset/6b06ad48-bd85-47a8-b478-0850b6def1a4/resource/eed003d7-c661-42ab-bafb-c2fd2290d94e/download/donati_et_al_dispersal_global_prevalence_traits_functions.r
    Description: Functions for Figures illustrated in Donati et al. 2019 "A process-based-model supports an association between dispersal and the prevalence of species traits in tropical reef fish assemblages" accepted in Ecography, August 2019.

en:
Resource Title: Input for the Global distribution maps for proportions of species richness for (a) simulated dispersal parameter value (b) observed dispersal-related traits
    Size: 45638 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/6b06ad48-bd85-47a8-b478-0850b6def1a4/resource/2115cb5b-7557-4897-8892-f109a15eb0c1/download/grid_pl_sim_obs_trait_prop_cong.csv
    Description: Geographic distribution data (species richness and proportions of high/low dispersal-related traits) on predominantly low dispersing and high dispersing species expected based on the simulations, and those where low- and high- dispersal related traits values are observed for the five investigated traits.

en:
Resource Title: Global coast files from https://www.ngdc.noaa.gov/mgg/shorelines/gshhs.html
    Size: 566907 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/6b06ad48-bd85-47a8-b478-0850b6def1a4/resource/a14c6b25-180d-42d8-a863-e13574487a03/download/coast_files.zip
    Description: Global coast files from https://www.ngdc.noaa.gov/mgg/shorelines/gshhs.html used in the Figures

en:
Resource Title: Donati et al. main script
    Size: 9040 bytes
    Format: text/x-r
    URL: https://www.envidat.ch/dataset/6b06ad48-bd85-47a8-b478-0850b6def1a4/resource/e00d3cf8-4845-4de0-8eb6-33243506c274/download/donati_et_al_dispersal_global_prevalence_traits_main.r
    Description: Main script used in : Donati et al. 2019 "A process-based-model supports an association between dispersal and the prevalence of species traits in tropical reef fish assemblages"
accepted in Ecography, August 2019

en:
Resource Title: Dispersal parameter value d per simulation
    Size: 124575 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/6b06ad48-bd85-47a8-b478-0850b6def1a4/resource/f895d8b6-3eff-4479-892b-8cc86b476a22/download/d_param_sim.txt
    Description: Dispersal parameter value d per simulation starting with a minimum dispersal value, where each species is able to colonise each adjacent cell, and ending with the value of d for which all the extant habitats, including the most remote Pacific islands, have been colonised (d ∈ [1.75°: 5.45°]).

en:
Resource Title: Supplementary material Appendix 1 Figures
    Size: 26270 bytes
    Format: text/x-r
    URL: https://www.envidat.ch/dataset/6b06ad48-bd85-47a8-b478-0850b6def1a4/resource/2946e2c8-9f5c-4ed8-bce2-13069fcb6faf/download/donati_et_al_dispersal_global_prevalence_traits_figures_supp_mat.r
    Description: Supplementary material Appendix 1 Figures illustrated in Donati et al. 2019 "A process-based-model supports an association between dispersal and the prevalence of species traits in tropical reef fish assemblages". accepted in Ecography, August 2019

dispersal

display_name: dispersal

ecology

display_name: ecology

reef-fish

display_name: reef-fish

traits

display_name: traits


en:
We conducted consecutive loading-relaxation experiments at low strain rates to study the viscoplastic behavior of the intact ice matrix in snow. The experiments were conducted using a micro-compression stage within the X-ray tomography scanner in the SLF cold laboratory.
Next, to evaluate the experiments, a novel, implicit solution of a transient scalar model was developed to estimate the stress exponent and time scales in the effective creep relation (Glen's law). The result reveals that, for the first time, a transition in the exponent in Glen's law depends on geometrical grain size. A cross-over of stress exponent $n=1.9$ for fine grains to $n=4.4$ for coarse grains is interpreted as a transition from grain boundary sliding to dislocation creep.
The dataset includes compression force data from 11 experiments and corresponding 3D image data from tomography scans.

en: microstructure x-ray-tomography snow-mechanics slow-snow-compression-experiments ice

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: A grain-size driven transition in the deformation mechanism in slow snow compression

en:
Resource Title: README
    Size: 2225 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/2fbce191-4283-4b68-aa4c-ad90723146ed/resource/a23d3947-513f-47dc-aba2-a56fd8b4afcf/download/readme.txt
    Description: README file gives an overview of the organization of the data

en:
Resource Title: slow snow compression experiments
    Size: 96297572 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2fbce191-4283-4b68-aa4c-ad90723146ed/resource/faca29b9-a95f-4f86-a3f9-1bf7faedab29/download/2023_slow_snow_compression_paper_envidat.zip
    Description: Compression experiments, X-ray images and with supplemented README file

ice

display_name: ice

microstructure

display_name: microstructure

slow-snow-compression-experiments

display_name: slow-snow-compression-experiments

snow-mechanics

display_name: snow-mechanics

x-ray-tomography

display_name: x-ray-tomography


en:
The dataset "Lake_climate_change_scenarios_CH2018" provides simulation-based climate change impact scenarios for perialpine lakes in Switzerland. These transient future scenarios were produced by combining the hydrologic model PREVAH with the hydrodynamic model MIKE11 to simulate daily lake water level (Lake_water_level_scenarios_CH2018.xls) and outflow scenarios (Lake_outflow_scenarios_CH2018.xls) from 1981 to 2099, using the Swiss Climate Change Scenarios CH2018. The future scenarios contain a total of 39 model members for three Representative Concentration Pathways, RCP2.6 (concerted mitigation efforts), RCP4.5 (limited climate mitigation) and RCP8.5 (no climate mitigation measures). These scenarios result from the study titled "Lower summer lake levels in regulated perialpine lakes, caused by climate change," authored by Wechsler et al. in 2023.
The dataset emphasizes four specific Swiss lakes, each subject to different degrees of lake level management: an unregulated lake (Lake Walen), a semi-regulated lake (Lake Brienz), and two regulated lakes (Lake Zurich and Lake Thun).
In addition, the file (Lake_characteristics.xlsx) includes data used in the modeling process, encompassing the stage-area relation for the four lakes, stage-discharge relations for the unregulated and semi-regulated lakes, and lake level management rules for the two regulated lakes.

en: perialpine-lakes lake-level-regulation climate-change hydrologic-and-hydrodynamic-modelling switzerland

envidat

en: EnviDat: the Environmental Data Portal

en: Lake climate change scenarios CH2018

envi

en: Environment

en:
Resource Title: Lake water level scenarios CH2018
    Size: 128937984 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/1c350a5c-5297-43ad-ae2f-f093b5f4bfa3/resource/b461ac74-3c51-4c96-9602-6200405f7ef4/download/lake_water_level_scenarios_ch2018.xls
    Description: Lake water level scenarios for Lake Walen, Lake Zurich, Lake Brienz and Lake Thun.

en:
Resource Title: Lake outflow scenarios CH2018
    Size: 129406464 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/1c350a5c-5297-43ad-ae2f-f093b5f4bfa3/resource/5d653540-4338-4d0f-bad3-4d083584964a/download/lake_outflow_scenarios_ch2018.xls
    Description: Lake outflow scenarios for Lake Walen, Lake Zurich, Lake Brienz and Lake Thun.

en:
Resource Title: Lake characteristics
    Size: 668782 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/1c350a5c-5297-43ad-ae2f-f093b5f4bfa3/resource/469b12d3-8184-4ce1-a2c8-881a5b81db3e/download/lake_characteristics.xlsx
    Description: Lake characteristics: stage-area relation for Lake Walen, Lake Zurich, Lake Brienz and Lake Thun, stage-discharge relations for the unregulated Lake Walen and semi-regulated Lake Brienz and, lake level management rules for the two regulated lakes Zurich and Thun.

climate-change

display_name: climate-change

hydrologic-and-hydrodynamic-modelling

display_name: hydrologic-and-hydrodynamic-modelling

lake-level-regulation

display_name: lake-level-regulation

perialpine-lakes

display_name: perialpine-lakes

switzerland

display_name: switzerland


en:
Background information
The Stillberg ecological treeline research site in the Swiss Alps was established in 1975, with the aim to develop ecologically, technically, and economically sustainable reforestation techniques at the treeline to reduce the risk of snow avalanches. In the course of time, additional research aspects gained importance, such as the ecology of the treeline ecotone under global change. Long-term monitoring of the large-scale high-elevation afforestation has generated data about tree growth, survival, and vitality. In addition, detailed characteristics of the microsite conditions of the research were conducted. Besides providing a scientific basis and practical guidelines for high-elevation afforestation, this research has contributed to a comprehensive understanding of ecological processes in the treeline ecotone.
 Experiment description
The Stillberg afforestation experiment was established in 1975 by planting 92,000 seedlings of *Larix decidua*, *Pinus cembra* and *Pinus mugo* ssp. *uncinata* in the alpine treeline ecotone. The afforestation site is located on a northeast-facing slope with steep, topographically highly structured terrain and covers elevations from 2075 to 2230 m a.s.l. The afforestation site was divided into 4052 square plots of 3.5 × 3.5 m, arranged in a regular species-alternating pattern over the whole area. Each plot contained 25 trees of one species (1350 plots per species), and the seedlings were systematically planted 70 cm apart. The trees have been monitored since 1975. Specifically, tree mortality was assessed annually from 1975 until 1995 and has been documented every ten years since then, with surveys in 2005 and 2015 (the next survey is due in 2025). Height of the surviving trees was measured in 1975, 1979, 1982, 1985, 1990, 1995, 2005, and 2015. In 1995, 2005, and 2015, drivers of tree vitality were assessed for a subset of trees per plot. Additionally, an extensive set of environmental parameters characterizing microsite conditions of the afforestation area were recorded before and after the planting of the trees.
 Data description
The five datasets from the afforestation experiment comprise ecological and environmental data from the main afforestation experiment in five datasets with accompanying metadata (Stillberg_afforestation_all_metadata.xlsx). All data and metadata files are bundled in a ZIP-file (Stillberg_afforestation_v1.zip). In particular, a first dataset contains environmental data characterising microsite conditions of the 4000 plots with regard to soil, topography, vegetation and microclimatic conditions (Stillberg_afforestation_plot_data_v1.csv; Stillberg_afforestation_plot_metadata_v1.csv. In each plot, the natural tree regeneration was assessed by counting seedings of several tree species in 2005 and 2015 (Stillberg_afforestation_regeneration_data_v1.csv; Stillberg_afforestation_regeneration_metadata_v1.csv). Furthermore, specific information about each of the 92’000 planted trees of the tree species is available (Stillberg_afforestation_tree_parameter_data_v1.csv; Stillberg_afforestation_tree_parameter_metadata_v1.csv). Survival data for each of the 92’000 individual trees can be found in a separate dataset (Stillberg_afforestation_tree_survival_data_v1.csv; Stillberg_afforestation_tree_survival_metadata_v1.csv). Tree growth and vitality parameters are available for all trees from 1995, and for subsets of trees for 2005 and 2015 (Stillberg_afforestation_tree_measurements_data_v1.csv; Stillberg_afforestation_tree_measurements_metadata_v1.csv).

en: afforestation stillberg long-term-experiment mountain-forest treeline

en: Long-term afforestation experiment at the Alpine treeline site Stillberg, Switzerland

afforestation

display_name: afforestation

long-term-experiment

display_name: long-term-experiment

mountain-forest

display_name: mountain-forest

stillberg

display_name: stillberg

treeline

display_name: treeline


en: This repository contains PMCMx-UF model outputs used for the paper: D. Patoulias K. Florou S. N. Pandis and A. Nenes: New particle formation events can reduce cloud droplets in boundary layer clouds at the continental scale, Geophysical Research Letters,  in review, 2023.

en: modeling cloud-droplets pmcamx-uf total-number nucleation

en: Dataset for the publication New particle formation events can reduce cloud droplets in boundary layer clouds at the continental scale

cloud-droplets

display_name: cloud-droplets

modeling

display_name: modeling

nucleation

display_name: nucleation

pmcamx-uf

display_name: pmcamx-uf

total-number

display_name: total-number