de:
Dieser Fahrplan ist noch in Planung, also ein Fahrplanentwurf. Die Daten können sich bis zur definitiven Publikation noch ändern.

Dieser Datensatz ist im aktuellen Datenformat 5.4 und enthält alle Entwürfe ab 2021.

en:
This timetable is still in the planning stage, i.e. a draft timetable. The dates are subject to change until final publication.

This data set is in the current data format 5.4 and contains all drafts from 2021 onwards.

fr:
Cet horaire est encore en cours de planification, il s'agit donc d'un projet d'horaire. Les données peuvent changer jusqu’à la publication finale.

Ce jeu de données est au format de données actuel 5.4 et contient tous les projets à partir de 2021.

it:
Questo calendario è ancora in fase di pianificazione, cioè una bozza di calendario. I dati possono cambiare fino alla pubblicazione finale.

Questo set di dati è nell'attuale formato 5.4 e contiene tutte le bozze dal 2021 in poi.

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

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

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

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

de: Cookbook (Documentation)

en: Cookbook (Documentation)

fr: Cookbook (Documentation)

it: Cookbook (Documentation)

de: Fahrplanentwurf ab 2021 (HRDF) Format 5.4

en: Timetable Draft 54 from 2021 (HRDF) Format 5.4

fr: Projet d'horaire 54 à partir de 2021 (HRDF) Format 5.4

it: Progetto dell'orario 54 dal 2021 (HRDF) Formato 5.4

autobus

display_name: autobus

bus

display_name: bus

business-organisation

display_name: business-organisation

cableways

display_name: cableways

data

display_name: data

daten

display_name: daten

dati

display_name: dati

donnees

display_name: donnees

draft

display_name: draft

embag

display_name: embag

entwurf

display_name: entwurf

fahrplan

display_name: fahrplan

fahrt

display_name: fahrt

fermata

display_name: fermata

fornitore-di-servizi-di-mobilita

display_name: fornitore-di-servizi-di-mobilita


fahrplanentwurf-gtfs

$oid: OBSOLETE

de: Dieser Fahrplan ist noch in Planung. Die Daten können bis zur definitiven Publikation noch ändern.

en: This timetable is still in planning. The data can change until the final publication.

fr: Ce calendrier est encore en cours de planification. Les données peuvent changer jusqu'à la publication finale.

it: Questo calendario è ancora in fase di pianificazione. I dati possono cambiare fino alla pubblicazione finale.

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

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

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

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

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: Fahrplan (INFO+)

en: Timetable (INFO+)

fr: Horaire (INFO+)

it: Orario (INFO+)

de: Cookbook GTFS

en: Cookbook GTFS

fr: Cookbook GTFS

it: Cookbook GTFS

de: Aufzeichnung des Online-Meet-Ups vom 13.11.2023

de: Definition GTFS-S (Standard)

en: Definition GTFS-S (Standard)

fr: Definition GTFS-S (Standard)

it: Definition GTFS-S (Standard)

spatial: Schweiz

de: Fahrplanentwurf ab 2021 (GTFS)

en: Timetable Draft  from 2021 (GTFS)

fr: Projet d'horaire à partir de 2021 (GTFS)

it: Bozza dell'orario dal 2021 (GTFS)

title_for_slug: fahrplanentwurf-gtfs

type: dataset

key: guid

key: uri

value: Opentransportdata - DCAT Harvester

tran

de: Verkehr

en: Transport

fr: Transports

it: Trasporti

format: ZIP

media_type: application/zip

funivie

display_name: funivie

geschaftsorganisation

display_name: geschaftsorganisation


halte-an-haltestellen

de:
Für eine Fahrplanperiode wird aufgezeigt, wie oft ein bestimmtes Verkehrsmittel einer Linie eine Haltestelle anfährt.

Mehr Details zu Halte an Haltestellen in den weiterführenden Informationen.

en:
For a timetable period, it shows how often a particular means of transport on a line calls at a stop.

More details about stops at stops in the further information.

fr:
Pour une période horaire donnée, il indique la fréquence à laquelle un moyen de transport donné d'une ligne donnée dessert un arrêt.

Plus de détails sur les arrêts aux stations dans les informations complémentaires.

it:
Per un periodo di orario, mostra la frequenza con cui un determinato mezzo di trasporto su una linea fa scalo in una fermata.

Maggiori dettagli sulle fermate nelle ulteriori informazioni.

en: proprietary data utilisation-of-stops stop mode-of-transportation line timetable stop-frequency without-transport-service analyst

de: proprietar embag daten auslastung-haltestellen haltestelle linie fahrplan haltehaufigkeit verkehrsmittel ohne-beforderungsleistung analyst

fr: proprietaire lmeta donnees halte ligne moyen-de-transport horaire sans-prestation-de-transport analyste frequence-de-arret taux-de-occupation-des-arrets

it: proprietario lmeca dati utilizzo-delle-fermate fermata mezzo-di-trasporto orario senza-servizio-di-transporto linea analista frequenza-di-mantenimento

de: Halte an Haltestellen

en: Stops at stop place

fr: Arrêts aux stations

it: Fermate alle fermata

title_for_slug: halte-an-haltestellen

de: Berechnung im Januar 2026

en: Calculation in January 2026

fr: Calculé en Janvier 2026

it: Calcolo nel gennaio 2026

de: Berechnung im März 2025

en: Calculation in March 2025

fr: Calcul en mars 2025

it: Calcolo nel marzo 2025

de: Berechnung im Januar 2024.

de: Berechnung im Januar 2023.

de: Neue Berechnung im Januar 2023. Abweichungen in der Anzahl Records zum Datensatz 202202-Halte.csv ergeben sich einerseits durch das Anbinden neuer Datenlieferanten mit weniger verdichteten Daten, anderseits dadurch, dass während der Fahrplanperiode laufend neue Varianten mit neuen Fahrtnummern dazukommen, welche dann zu zusätzlichen Records führen.

de: Berechnung im Februar 2022.

analista

display_name: analista

analyst

display_name: analyst

analyste

display_name: analyste

auslastung-haltestellen

display_name: auslastung-haltestellen

frequence-de-arret

display_name: frequence-de-arret

frequenza-di-mantenimento

display_name: frequenza-di-mantenimento

halte

display_name: halte

haltehaufigkeit

display_name: haltehaufigkeit

haltestelle

display_name: haltestelle

horaire

display_name: horaire

ligne

display_name: ligne

line

display_name: line


bfr-rollstuhlzuganglichkeit

de:
Dieser Datensatz enthält Informationen über die Rollstuhlzugänglichkeit pro Haltestelle und Haltekante, auf Basis der Fahrplandaten aus INFO+ und der BehiG-Bestandsaufnahme. Ausserdem enthalten ist die Zugänglichkeit für eine kleine Menge von Fahrzeugen, inklusive einer Erklärung wie diese bewertet wurden.

Die Daten sind die Basis für barrierefreies Reisen (BfR) und vereinfachen die Berechnung von Rollstuhlsymbolen, entsprechend der in Richtlinie V580 (Produkt 02) geforderten Granularität.

Achtung:
Ab 06. Dezember 2024 werden die Rollstuhlzugänglichkeiten von Haltestellen oder Haltekanten in der Datei BfR_Haltestellendaten.csv mit Gültigkeiten versehen. Das heisst, jeder Eintrag enthält zusätzlich die zwei Spalten "gültigVon" und "gültigBis", welche festlegen, wie lange die fragliche Zugänglichkeit gültig ist. Dies bedeutet auch, dass für eine bestimmte Haltestelle oder Haltekante mehrere Einträge vorhanden sein können mit unterschiedlichen Zugänglichkeiten und Gültigkeiten. Ein Beispiel soll dies veranschaulichen, wobei der Einfachheit halber nicht alle Spalten aufgeführt werden:
DIDOK      Name             sg_Autonomie  ug_Ersatztransport   sloid     gültigVon   gültigBis
8503059    Zürich Stadelhofen, Bahnhof   1     0     ch:1:sloid:3059::1      18.11.2024  15.12.2024
8503059    Zürich Stadelhofen, Bahnhof   0     1     ch:1:sloid:3059::1      16.12.2024  14.05.2025

In diesem konstruierten Beispiel ist die Haltekante mit SwissLocationId "ch:1:sloid:3059::1" bis 15. Dezember autonom zugänglich, aber aufgrund einer Baustelle ab dem 16. Dezember für Fahrgäste im Rollstuhl nur noch mittels Ersatz-Shuttle erreichbar.

en:
This dataset contains information on wheelchair accessibility per stop place and boarding area, based on the timetable data from INFO+ and the "BehiG" inventorization. Also included is the accessibility for a small number of vehicles, including an explanation of how these were assessed.

The data is the basis for barrier-free travel (BfR) and simplifies the calculation of wheelchair symbols in accordance with the granularity required in Directive V580 (Product 02).

Attention:
From December 6th 2024 on, the wheelchair accessibility of stop places or boarding areas (Haltekanten) has been provided with validities in the BfR_Haltestellendaten.csv file. This means that each entry also contains the two columns "gültigVon" and "gültigBis", which define how long the accessibility in question is valid. This also means that there may be several entries with different accessibility and validity for a particular stop place or boarding area. An example is provided to illustrate this, whereby not all columns are listed for the sake of simplicity:
DIDOK      Name             sg_Autonomie  ug_Ersatztransport   sloid     gültigVon   gültigBis
8503059    Zürich Stadelhofen, Bahnhof   1     0     ch:1:sloid:3059::1      18.11.2024  15.12.2024
8503059    Zürich Stadelhofen, Bahnhof   0     1     ch:1:sloid:3059::1      16.12.2024  14.05.2025

In this constructed example, the boarding area with SwissLocationId "ch:1:sloid:3059::1" is autonomously accessible until 15 December, but due to a construction site, passengers in wheelchairs will only be able to reach it by replacement shuttle from 16 December.

fr:
Ce jeu de données contient des informations sur l'accessibilité en fauteuil roulant par arrêt et par bordure d'arrêt, sur la base des données d'horaires issues d'INFO+ et de l'état des lieux de la LHand (LMETA). Il comprend également l'accessibilité pour un petit nombre de véhicules, ainsi qu'une explication sur la manière dont ils ont été évalués.

Les données sont la base d'un voyage sans obstacles (BfR) et simplifient le calcul des symboles de fauteuils roulants, conformément à la granularité exigée par la directive V580 (produit 02).

Attention:
Dès décembre 6 2024, l'accessibilité en fauteuil roulant des arrêts ou des bordures d'arrêt est validée dans le fichier BfR_Haltestellendaten.csv. Cela signifie que chaque entrée contient en plus les deux colonnes "gültigVon" et "gültigBis", qui déterminent la durée de validité de l'accessibilité en question. Cela signifie également que pour un arrêt ou une bordure d'arrêt donné, il peut y avoir plusieurs entrées avec des accessibilités et des validités différentes. Un exemple permet d'illustrer ce point, mais pour des raisons de simplicité, toutes les colonnes ne sont pas mentionnées :
DIDOK      Name             sg_Autonomie  ug_Ersatztransport   sloid     gültigVon   gültigBis
8503059    Zürich Stadelhofen, Bahnhof   1     0     ch:1:sloid:3059::1      18.11.2024  15.12.2024
8503059    Zürich Stadelhofen, Bahnhof   0     1     ch:1:sloid:3059::1      16.12.2024  14.05.2025

Dans cet exemple construit, la bordure d'arrêt avec SwissLocationId "ch:1:sloid:3059::1" est accessible de manière autonome jusqu'au 15 décembre, mais en raison d'un chantier, les passagers en fauteuil roulant ne pourront y accéder qu'au moyen d'une navette de remplacement à partir du 16 décembre.

it:
Questo set di dati contiene informazioni sull'accessibilità delle sedie a rotelle per fermata e bordo fermata, basate sui dati degli orari di INFO+ e sull'inventario LMeCA. È inclusa anche l'accessibilità di un piccolo numero di veicoli, con una spiegazione di come sono stati valutati.

I dati sono la base per gli spostamenti senza barriere (BfR) e semplificano il calcolo dei simboli delle sedie a rotelle secondo la granularità richiesta dalla direttiva V580 (Prodotto 02).

Attenzione:
Da dicembre 6 2024, l'accessibilità alle sedie a rotelle delle fermate o dei bordi fermata è stata fornita con validità nel file BfR_Haltestellendaten.csv. Ciò significa che ogni voce contiene anche le due colonne "gültigVon" e "gültigBis", che definiscono la durata della validità dell'accessibilità in questione. Ciò significa anche che possono esistere più voci con accessibilità e validità diverse per un determinato stop o bordo fermata. Per illustrare questo aspetto, viene fornito un esempio in cui, per semplicità, non sono elencate tutte le colonne:
DIDOK      Name             sg_Autonomie  ug_Ersatztransport   sloid     gültigVon   gültigBis
8503059    Zürich Stadelhofen, Bahnhof   1     0     ch:1:sloid:3059::1      18.11.2024  15.12.2024
8503059    Zürich Stadelhofen, Bahnhof   0     1     ch:1:sloid:3059::1      16.12.2024  14.05.2025

In questo esempio costruito, il bordo fermata con SwissLocationId "ch:1:sloid:3059::1" è accessibile autonomamente fino al 15 dicembre, ma a causa di un cantiere, i passeggeri in sedia a rotelle potranno raggiungerla con una navetta sostitutiva solo dal 16 dicembre.

en: accessibility proprietary data wheelchair-accessibility stop-place stop train bus wheelchair-user mode-of-transportation

de: behig rollstuhlzuganglichkeit proprietar daten haltestelle haltekante verkehrsmittel zug bus rollstuhlfahrer passagier

fr: lhand accessibilite proprietaire donnees accessibilite-des-fauteuils-roulants bordure-d-arret halte train autobus passager personne-en-fauteuil-roulant moyen-de-transport

it: ldis accessibilita proprietario dati accessibilita-alle-sedie-a-rotelle bordo-di-fermata fermata treno autobus persone-in-sedia-a-rotelle mezzo-di-trasporto

oevch

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

de: Cookbook

en: Cookbook

fr: Cookbook

it: Cookbook

de: Barrierefreies Reisen - Rollstuhlzugänglichkeit

en: Accessible travel - Wheelchair accessibility

fr: En route sans barrières - Accessibilité des fauteuils roulants

it: In viaggio senza barriere - Accessibilità alle sedie a rotelle

title_for_slug: bfr-rollstuhlzuganglichkeit

format: CSV

media_type: text/csv

accessibilita

display_name: accessibilita

accessibilita-alle-sedie-a-rotelle

display_name: accessibilita-alle-sedie-a-rotelle

accessibilite

display_name: accessibilite

accessibilite-des-fauteuils-roulants

display_name: accessibilite-des-fauteuils-roulants

accessibility

display_name: accessibility

autobus

display_name: autobus

behig

display_name: behig

bordo-di-fermata

display_name: bordo-di-fermata

bordure-d-arret

display_name: bordure-d-arret

bus

display_name: bus

data

display_name: data

daten

display_name: daten

dati

display_name: dati

donnees

display_name: donnees

haltekante

display_name: haltekante

ldis

display_name: ldis

lhand

display_name: lhand

mezzo-di-trasporto

display_name: mezzo-di-trasporto

mode-of-transportation

display_name: mode-of-transportation

moyen-de-transport

display_name: moyen-de-transport

passager

display_name: passager

passagier

display_name: passagier

persone-in-sedia-a-rotelle

display_name: persone-in-sedia-a-rotelle

personne-en-fauteuil-roulant

display_name: personne-en-fauteuil-roulant

proprietaire

display_name: proprietaire

proprietar

display_name: proprietar

proprietario

display_name: proprietario

proprietary

display_name: proprietary


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

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

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

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

oevch

de: Geschäftsstelle Systemaufgaben Kundeninformation (SBB AG)

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

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

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

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


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

Diese Dateien helfen dabei die fachlichen (VM-Nummer, TU-Code, Variante/Datum) und die technischen Swiss Journey ID (SJYID) Identifikatoren in Beziehung zueinander zu setzen. Denn die SJYID ist nicht über all diese Werte hinweg eindeutig. Dadurch können Sie bei Bedarf die technischen Identifikatoren anhand der fachlichen Identifikatoren finden oder umgekehrt.

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/list-sjyid-2026-v2

This list links business (VM-Number, TU-Code, Variant/Date) and technical Swiss Journey ID (SJYID) identifiers. This means that, if necessary, technical identifiers can be found from business identifiers, or vice versa.

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/list-sjyid-2026-v2

La liste met en relation les identifiants-métier (No prestation, Code ET, Variante/Date) et identifiants-technique ID des voyage suisse (SJYID). Cela permet, en cas de besoin, de trouver les identifiants techniques à partir des identifiants métier ou inversement.

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/list-sjyid-2026-v2

L'elenco collega gli identificatori commerciali (numero di servizio, codice ET, data) e gli identificatori tecnici ID viaggio svizzero (SJYID). Ciò significa che, se necessario, gli identificatori tecnici possono essere trovati dagli identificatori professionali o viceversa.

en: proprietary data journey swiss-journey-id train bus mobility-service-provider

de: proprietar embag daten swiss-journey-id fahrt bus zug mobilitatsdienstleister

fr: proprietaire lmeta donnees voyage id-des-voyage-suisse train autobus prestataire-de-mobilite

it: proprietario lmeca dati viaggio id-viaggio-svizzero treno autobus fornitore-di-servizi-di-mobilita

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

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

en: 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)

de: Fahrplan (INFO+)

de: Swiss Journey ID (SJYID) 2026

en: Swiss Journey ID (SJYID) 2026

fr: ID des voyage suisse (SJYID) 2026

it: ID viaggio svizzero (SJYID) 2026

tran

de: Verkehr

autobus

display_name: autobus

bus

display_name: bus

data

display_name: data

daten

display_name: daten

embag

display_name: embag

fahrt

display_name: fahrt

fornitore-di-servizi-di-mobilita

display_name: fornitore-di-servizi-di-mobilita

id-des-voyage-suisse

display_name: id-des-voyage-suisse

id-viaggio-svizzero

display_name: id-viaggio-svizzero

journey

display_name: journey

lmeca

display_name: lmeca

lmeta

display_name: lmeta

mobilitatsdienstleister

display_name: mobilitatsdienstleister

mobility-service-provider

display_name: mobility-service-provider

prestataire-de-mobilite

display_name: prestataire-de-mobilite


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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

en: Timetable (INFO+)

fr: Horaire (INFO+)

it: Orario (INFO+)

de: HAFAS-Rohdaten-Format

en: HAFAS-Rohdaten-Format

fr: HAFAS-Rohdaten-Format

it: HAFAS-Rohdaten-Format

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

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

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

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

tran

en: Transport

fr: Transports

it: Trasporti


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

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

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

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

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

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

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

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

en: hrdf data timetable

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

fr: hrdf donnees horaire

it: hrdf dati orario

de: Fahrplan 2026 (HRDF) Format 5.4

en: Timetable 2026 (HRDF) Format 5.4

fr: Horaire 2026 (HRDF) Format 5.4

it: Orario 2026 (HRDF) Format 5.4

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

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

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

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


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

oevch

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

de: Cookbook

en: Cookbook

fr: Cookbook

it: Cookbook

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)


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

format: XLS

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:

format: TXT

media_type: text/plain

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


en:
Data and scripts of publication:
Madleina Gerecke, Oskar Hagen, Janine Bolliger, Anna M. Hersperger, Felix Kienast, Bronwyn Price, Loïc Pellissier (2019) Assessing potential landscape service trade-offs driven by urbanization in Switzerland. Palgrave communications.
Contains land use projections for Switzerland and scripts and data for these projections as well as the calculation of landscape services.
Data Folder:
Contains sub-folder with the data necessary for this study (provided were no copyright issues, otherwise placeholders with descriptions), and folders where produced data may be stored
Scripts Folder:
Contains scripts organized into subfolders depending on their purpose
Note: Some abbreviations within the scripts and data are derived from German words and not English.

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

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: Land use projections and services for Switzerland

en:
Resource Title: Scripts for Assessing potential landscape service trade-offs driven by urbanization in Switzerland
    Size: 72256 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/c259ac71-37ea-477e-94b0-c463cc195304/resource/062e679c-5d1b-4733-8d91-4caca049816f/download/scripts.zip
    Description: Scripts ordered by their main purpose within sequential folders in this ReadMe marked with ##

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

# B_Transition_Analysis.R
Further Analysis of transition numbers

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

en:
Resource Title: Data for Assessing potential landscape service trade-offs driven by urbanization in Switzerland
    Size: 4119284 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/c259ac71-37ea-477e-94b0-c463cc195304/resource/3f13ea3a-3dd2-48a3-98a1-284b565b2c2d/download/data.zip
    Description: The provided folder structure follows the set up of the scripts.
Data is only provided when it has been fully produced by us, otherwise dummies are given.
For data that will be produced by one of the scripts, no dummies are given.
The folders may contain sub-folders, which would be filled if the scripts were all run

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

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

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

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

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

## 05_Service_Data
Any service calculations will be saved in here

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

land-use

display_name: land-use

land-use-change

display_name: land-use-change

landscape-services

display_name: landscape-services

statistical-model

display_name: statistical-model

urbanization

display_name: urbanization