regi

de: Regionen und Städte

fr: Environnement

de: hochwasser fliessgewasser hydrologie see naturgefahr gewasser bgdi-bundesgeodaten-infrastruktur

author: Bundesamt für Umwelt / Abteilung Hydrologie

fr: Géoportail thématique

de: Thematisches Geoportal

en: Thematic geoportal

it: Geoportale tematico

fr: geocat.ch permalien

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

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

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

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

fr: Aperçu map.geo.admin.ch

de: Vorschau map.geo.admin.ch

en: Preview map.geo.admin.ch

it: Previsione map.geo.admin.ch

fr: Service WMS-IFDG, couche "Carte vigilance crues"

de: WMS-BGDI Dienst, Layer "Warnkarte nationale Gewässer"

en: WMS-FSDI service, layer "Flood alert map"

it: Servizio WMS-IFDG, strato "Carta di vigilanza piene"

fr: Serveur de téléchargement de geo.admin.ch

de: Download von data.geo.admin.ch

en: Download server from geo.admin.ch

it: Server di download di geo.admin.ch

format: ZIP

de: Download verschiedener Produkte mit hydrologischem Bezug.

fr: La carte de vigilance crues présente la situation de danger actuelle en matière de crues (niveaux de danger 1 à 5) pour l’ensemble des lacs et des cours d’eau d’intérêt national et fournit des indications régionales concernant les petits et moyens cours d’eau. Les cours d’eau d’intérêt national sont divisés en tronçons, à chacun desquels est attribuée une station de mesure du débit. Les prévisions sont faites à l’aide d’un modèle hydrologique et de plusieurs modèles météorologiques. Les prévisionnistes évaluent et interprètent ces modèles et en déduisent un niveau de danger, en fonction duquel chaque tronçon de cours d’eau et chaque lac se voient attribuer une couleur. Au besoin, les prévisionnistes de l’OFEV demandent à MétéoSuisse ou à l’Institut fédéral pour l’étude de la neige et des avalanches des informations plus précises sur l’évolution météorologique ou l’état du manteau neigeux. L’OFEV informe et alerte également lorsqu’il faut s’attendre localement à une forte hausse des débits de petits et moyens cours d’eau. Dans ces cas, notamment lors d’abondantes précipitations orageuses, il n’est pas possible de dire avec précision quels seront les cours d’eau concernés. C’est pourquoi les régions susceptibles d’être touchées sont marquées sur la carte de vigilance. Pour les petits et moyens cours d’eau, en raison des incertitudes, on distingue trois niveaux de danger seulement : aucun ou faible danger en vert, danger de crues limité en jaune et fort danger de crues en rouge.

de: Die Hochwasserwarnkarte zeigt die aktuelle Hochwassergefahr (Stufe 1 bis 5) für alle Fliessgewässer und Seen von gesamtschweizerischem Interesse sowie für die Regionen in Bezug auf kleine und mittlere Fliessgewässer. Die Fliessgewässer von gesamtschweizerischem Interesse sind in einzelne Flussabschnitte unterteilt. Zu jedem einzelnen Flussabschnitt ist eine Abflussmessstation definiert. Die Vorhersage beruht auf einem hydrologischen Modell und verschiedenen Wettermodellen. Abhängig von der Einschätzung und Interpretation der verschiedenen Modelle durch die Prognostikerinnen und Prognostiker werden die einzelnen Flussabschnitte und Seen entsprechend der Gefahrenstufe farblich gekennzeichnet. Bei Bedarf fordern die Prognostikerinnen und Prognostiker des BAFU bei MeteoSchweiz und/oder dem WSL-Institut für Schnee- und Lawinenforschung SLF genauere Auskünfte über die Wetterentwicklung und den Zustand der Schneedecke an. Das BAFU warnt und informiert auch dann, wenn lokal mit einem starken Anstieg der Abflüsse an kleinen und mittelgrossen Fliessgewässern zu rechnen ist. In solchen Fällen - insbesondere bei Gewittern mit Starkregen - kann nicht präzise vorausgesagt werden, welche Gewässer betroffen sein werden. Deshalb werden die voraussichtlich betroffenen Regionen auf der Hochwasserwarnkarte gekennzeichnet. Für kleine und mittelgrosse Fliessgewässer werden wegen den grösseren Unsicherheiten nur drei Gefahrenstufen unterschieden: keine oder geringe Gefahr (grün), mässige Hochwassergefahr (gelb) und grosse Hochwassergefahr (rot).

en: The flood alert map shows the current flood danger level (1 to 5) for all and for the regions in relation to small and medium-sized rivers. The rivers of national interest are divided into individual stretches of river, each of which has a defined discharge gauging station. The forecast is based on a hydrological model and various weather models. Depending on how the forecasters assess and interpret the models, individual stretches of river and lakes are colour-coded by danger level. If necessary, the FOEN forecasters may request more detailed information on weather developments and the status of snow cover from MeteoSwiss and/or the WSL Institute for Snow and Avalanche Research (SLF). The FOEN also issues alerts and information when a strong increase in discharge is expected locally on small and medium-sized rivers. In such cases – especially during thunderstorms with heavy rainfall – it is not possible to predict precisely which water bodies will be affected. Therefore, the regions likely to be affected are marked on the flood alert map. There are only three danger levels for small and medium-sized rivers due to the greater uncertainties involved: no or minor danger (green), moderate flood danger (yellow) and high flood danger (red).

it: La carta di vigilanza di piena mostra il pericolo attuale di piena (gradi da 1 a 5) per tutti i corsi d’acqua e i laghi di interesse nazionale e per le regioni relativamente ai corsi d’acqua di piccole e medie dimensioni. I corsi d’acqua d’interesse nazionale sono suddivisi in tratti fluviali. A ogni tratto è attribuita una stazione di misurazione della portata. Le previsioni si basano su un modello idrologico e diversi modelli meteorologici. La determinazione del grado di pericolo dei singoli tratti fluviali o dei laghi e la relativa indicazione sulla carta mediante colori avviene in base alla valutazione e all’interpretazione dei risultati dei diversi modelli idrologici e meteorologici da parte degli addetti alle previsioni. Se necessario, gli addetti alle previsioni dell’UFAM possono richiedere precisazioni a MeteoSvizzera e/o all’Istituto per lo studio della neve e delle valanghe (SLF) del WSL in merito all’evoluzione meteorologica e alle condizioni della copertura nevosa. L’UFAM allerta e fornisce informazioni anche quando localmente è previsto un aumento del livello di corsi d’acqua di piccole e medie dimensioni. In questi casi, ma in particolare in caso di temporali con forti precipitazioni, non è possibile stabilire con precisione quali saranno i corsi d’acqua interessati. Le regioni presumibilmente interessate vengono quindi segnalate sulla carta di allerta piene. Per i corsi d’acqua di piccole e medie dimensioni, a causa dell’elevato grado di incertezza, si distinguono solo tre gradi di pericolo: pericolo nullo o debole (verde), pericolo moderato di piena (giallo) e pericolo forte di piena (rosso).

fr: Office fédéral de l'environnement /Division Hydrologie

en: Federal Office for the Environment / Hydrology Division

it: Ufficio federale dell'ambiente / Divisione Idrologia

bundesamt-fur-umwelt-bafu

fr: Office fédéral de l'environnement OFEV

de: Bundesamt für Umwelt BAFU

en: Federal Office for the Environment FOEN

it: Ufficio federale dell'ambiente UFAM

fr: L’autorité compétente pour les questions environnementales. Il est à ce titre chargé de gérer les ressources naturelles selon les principes du développement durable et de protéger l’homme contre les dangers naturels et l’environnement contre les pollutions.

de: Die Fachbehörde für die Umwelt. Es ist zuständig für die nachhaltige Nutzung der natürlichen Ressourcen sowie für den Schutz des Menschen vor Naturgefahren und den Schutz der Umwelt vor übermässigen Belastungen.

en: The federal environmental authority. It is responsible for ensuring that natural resources are used sustainably, that the public is protected against natural hazards, and that the environment is protected from unacceptable adverse impacts.

it: Il servizio specializzato in materia ambientale, è competente per quanto riguarda l'utilizzazione sostenibile delle risorse naturali, la protezione delle persone dai pericoli naturali e dell'ambiente da un inquinamento eccessivo.

value: BAFU - Geocat Harvester

fr: Carte de vigilance crues

de: Hochwasserwarnkarte

en: Flood alert map

it: Carta di vigilanza delle piene


state: active

type: dataset

media_type: application/json

format: JSON

de: Resultate der Landsgemeinde vom 07. Mai 2023, strukturiert als JSON

landsgemeinde

display_name: landsgemeinde

gove

fr: Gouvernement et secteur public

de: Regierung und öffentlicher Sektor

en: Government and public sector

it: Governo e settore pubblico

staatskanzlei-glarus

de: Staatskanzlei Glarus

de: Die Staatskanzlei steht dem Landrat und dem Regierungsrat des Kantons Glarus, deren Geschäftsverkehr sie organisiert und koordiniert, als Stabsstelle zur Verfügung. Sie unterstützt Landammann und Regierungsrat, Landratspräsident, Landrat und landrätliche Kommissionen bei der Führung, Planung, Koordination, Information und Dokumentation.

political_level: canton

kanton-glarus

capacity: public

type: organization

approval_status: approved

key: guid

key: uri

value: DCAT Harvester Kt. GL

de: Landsgemeinde vom 07. Mai 2023


de: Resultate der Landsgemeinde vom 06. Mai 2007, strukturiert als JSON

de: Landsgemeinde vom 06. Mai 2007


de: Resultate der Landsgemeinde vom 06. September 2020, strukturiert als JSON

de: Landsgemeinde vom 06. September 2020


maintainer: Ufficio di statistica del Canton Ticino (Ustat)

media_type: application/zip

it: Questo archivio zip contiene un cubo di dati in formato PC Axis px.

it: Questo archivio zip contiene un file csv con i risultati in forma lunga (con una sola colonna numerica) e un file txt con la descrizione del contenuto (metadati)

it: Questo archivio zip contiene un file xlsx con tre fogli: uno con i risultati statistici (Tabella), uno con l'elenco e la descrizione delle variabili (Definizioni) e uno con il titolo, la fonte e la data dell'ultima modifica (Informazioni).

it:
Titoli conseguiti presso le scuole professionali di base ticinesi, secondo il tipo, l'ambito di formazione, la modalità e il sesso, per distretto di residenza, dal 2012 al 2023

[Fonte: Statistica della formazione professionale di base (SBG-SFPI), Ufficio federale di statistica, Neuchâtel](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.fonti&tema=36&id=1081&proID=151)

[Elaborazione: Ufficio di statistica (Ustat), Giubiasco](https://www.ti.ch/ustat)

Ultima modifica: 17.03.2025

Variabili presenti nel cubo di dati:
Anno: l'anno di ottenimento del titolo
Tipo: il tipo di formazione svolta
Ambito_formazione: l'ambito professionale in cui lo studente ha conseguito il titolo
Modalita: il tipo di svolgimento della formazione (scuola a tempo pieno o a tempo parziale)
Sesso: il sesso

education-et-science

display_name: education-et-science

formazione-e-scienza

display_name: formazione-e-scienza

educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

en: Education, culture and sport

it: Istruzione, cultura e sport

ustat

it:
L'Ufficio di statistica del Cantone Ticino (Ustat) è il servizio centrale della statistica cantonale e il suo coordinatore ai sensi della [Legge sulla statistica cantonale](https://www4.ti.ch/dfe/dr/ustat/chi-siamo/basi-legali/leggi-cantonali) del 22 settembre 2009.

Nella prima veste l'Ustat produce e diffonde per la collettività e per lo Stato: dati, elaborazioni, contributi analitici di vario genere e livello di approfondimento, consulenze statistiche e tematiche, su praticamente tutti i settori della statistica pubblica.
Alla base di questi risultati vi è un'attività che copre tutte le fasi del processo statistico: dalla definizione del fabbisogno alla rilevazione, trattamento e validazione dei dati, alla loro archiviazione e documentazione, all'elaborazione, analisi ed interpretazione e alla diffusione dei risultati. Progressivamente, le attività di analisi e di ricerca tematica e la diffusione stanno progressivamente assumendo maggior peso.

Nella veste di coordinatore della statistica cantonale l'Ustat opera in prima misura attraverso la preparazione, l'aggiornamento annuale e la rendicontazione del [Programma pluriennale](https://www4.ti.ch/dfe/dr/ustat/chi-siamo/programma-dattivita/programma-pluriennale), in collaborazione con la [Commissione scientifica](https://www4.ti.ch/dfe/dr/ustat/chi-siamo/la-commissione-scientifica) e gli altri attori della [statistica cantonale](https://www4.ti.ch/dfe/dr/ustat/chi-siamo/statistica-cantonale). L'Ustat assicura pure il coordinamento con l'esterno, in primis con il programma e l'attività della [statistica nazionale](https://www4.ti.ch/dfe/dr/ustat/chi-siamo/il-sistema-statistico), ma pure con gli altri servizi statistici e di ricerca regionali, nazionali e transfrontalieri.

value: DCAT Harvester Kt. TI


name: Ufficio di statistica del Canton Ticino (Ustat)

it:
Diplomi conseguiti presso le scuole specializzate superiori ticinesi, secondo il tipo, la formazione e il sesso, per distretto di residenza, dal 2012 al 2023

[Fonte: Statistica dei diplomi (SBA), Ufficio federale di statistica, Neuchâtel](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.fonti&tema=36&id=1101&proID=465)

[Elaborazione: Ufficio di statistica (Ustat), Giubiasco](https://www.ti.ch/ustat)

Ultima modifica: 17.03.2025

Variabili presenti nel cubo di dati:
Anno: l'anno di ottenimento del titolo
Tipo: il tipo di diploma conseguito
Formazione: l'ambito in cui lo studente ha conseguito il diploma
Sesso: il sesso
Distretto_residenza: il distretto di residenza dello studente


it:
Maturità conseguite presso le scuole ticinesi, secondo il tipo e il sesso degli studenti, per distretto di residenza, dal 2012 al 2023

[Fonte: Statistica dei diplomi (SBA), Ufficio federale di statistica, Neuchâtel](https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=definizioni.fonti&tema=36&id=1101&proID=465)

[Elaborazione: Ufficio di statistica (Ustat), Giubiasco](https://www.ti.ch/ustat)

Ultima modifica: 17.03.2025

Variabili presenti nel cubo di dati:
Anno: l'anno di ottenimento del titolo
Tipo: il tipo di maturità conseguita
Sesso: il sesso
Distretto_residenza: il distretto di residenza dello studente

it: Ufficio di statistica del Canton Ticino (Ustat)


abwasseranlagen-darstellung-eigentum

ener

fr: Énergie

de: Energie

en: Energy

it: Energia

regi

fr: Régions et villes

de: Regionen und Städte

en: Regions and cities

it: Regioni e città

envi

de: Umwelt

en: Environment

it: Ambiente

title_for_slug: abwasseranlagen-darstellung-eigentum

de: leitungskataster geobasisdaten

en: pipeline-cadastre official-geodata

it: catasto-delle-condotte geodati-di-base

de: geocat.ch Permalink

en: geocat.ch permalink

it: geocat.ch link permanente

fr: WMS-Dienst des Kanton Uri

de: WMS-Dienst des Kanton Uri

en: WMS-Dienst des Kanton Uri

it: WMS-Dienst des Kanton Uri

format: WMS

fr: WFS-Dienst des Kanton Uri

de: WFS-Dienst des Kanton Uri

en: WFS-Dienst des Kanton Uri

it: WFS-Dienst des Kanton Uri

format: WFS

fr: Dieser Datensatz hat den gleichen Inhalt wie der Datensatz "34-UR_Abwasseranlagen". Die Abwasserleitungen sind gemäss dem Attribut "Eigentum" verschiedenfarbig dargestellt.

spatial: Canton of Uri (UR)

fr: Abwasser Uri

de: Abwasser Uri

en: Abwasser Uri

it: Abwasser Uri

geoinformation-kanton-uri

de: Lisag AG, Geoinformation Kanton Uri

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

value: Uri-Kt - Geocat Harvester

fr: Abwasseranlagen Darstellung Eigentum

de: Abwasseranlagen Darstellung Eigentum

en: Abwasseranlagen Darstellung Eigentum

it: Abwasseranlagen Darstellung Eigentum


abwasseranlagen

envi

fr: Environnement

title_for_slug: abwasseranlagen

author: Abwasser Uri

fr: geocat.ch permalien

fr: In diesem Datensatz werden alle Leitungen für verschmutztes und nicht verschmutztes Abwasser erfasst (Art. 26. Kantonales Umweltschutzgesetz, KUG). Weiter enthält dieser Datensatz Abwasserreinigungsanlagen, Versickerungsanlagen und Sonderbauwerke.

fr: Abwasseranlagen

de: Abwasseranlagen

en: Abwasseranlagen

it: Abwasseranlagen


abwasseranlagen-darstellung-nutzungsart

title_for_slug: abwasseranlagen-darstellung-nutzungsart

fr: Dieser Datensatz hat den gleichen Inhalt wie der Datensatz "34-UR_Abwasseranlagen". Die Abwasserleitungen sind gemäss dem Attribut "Nutzungsart" verschiedenfarbig dargestellt.

fr: Abwasseranlagen Darstellung Nutzungsart

de: Abwasseranlagen Darstellung Nutzungsart

en: Abwasseranlagen Darstellung Nutzungsart

it: Abwasseranlagen Darstellung Nutzungsart


ladestationen-fuer-elektroautos

maintainer: Bundesamt für Energie

title_for_slug: Ladestationen für Elektroautos

author: Bundesamt für Energie

de: Technical documentation

de: API How-to and examples

de: Statische Informationen der Ladestationen (EVSEData) - kontinuierlich aktualisiert

de: Für weitere Informationen siehe https://github.com/SFOE/DIEMO-Documentation

de: Verfügbarkeits-Informationen der Ladestationen (EVSEStatus) - kontinuierlich aktualisiert

fr: La mobilité électrique constitue une technologie clé pour une mobilité plus durable, contribuant à la réalisation des objectifs ambitieux définis en matière de politique énergétique et climatique. Les moteurs électriques sont efficaces et peuvent fonctionner avec de l’électricité issue des énergies renouvelables. Le site www.je-recharge-mon-auto.ch affiche, en temps réel, la disponibilité de stations de recharge pour véhicules électriques. Les stations des principaux réseaux de recharge s’affichent d’ores et déjà. L’OFEN invite les autres fournisseurs proposant des stations de recharge accessibles au public qui le souhaitent à faire figurer leur emplacement sur ce site.

en: Electric mobility is a key technology for more sustainable mobility and is one way of achieving ambitious energy and climate policy goals. Electric engines are efficient, and using electricity means that renewable energies can also be used. recharge-my-car.ch shows where charging points for electric vehicles are available in real time. Currently the website displays the charging points offered by the largest charging networks. The SFOE invites other providers of public charging stations for electric vehicles to participate.

de: Die Elektromobilität ist eine Schlüsseltechnologie für eine nachhaltigere Mobilität und trägt zur Erreichung ambitionierter energie- und klimapolitischer Ziele bei. Elektroantriebe sind effizient und der Einsatz von Strom erlaubt die Nutzung erneuerbarer Energien. ich-tanke-strom.ch zeigt die Verfügbarkeit von Ladestellen für Elektrofahrzeuge in Echtzeit an. Aktuell werden die Ladestationen der grössten Ladenetzwerke angezeigt. Das BFE lädt weitere interessierte Anbietende von öffentlichen Ladestationen für Elektrofahrzeuge ein, sich anzuschliessen.

it: I veicoli elettrici rappresentano una tecnologia chiave per una mobilità più sostenibile e contribuiscono al raggiungimento di ambiziosi obiettivi di politica energetica e climatica. I motori elettrici sono efficienti e possono essere alimentati con energia elettrica prodotta da fonti rinnovabili. pieno-di-elettricita.ch mostra in tempo reale la disponibilità delle stazioni di ricarica elettriche. Attualmente sono visualizzate le stazioni delle maggiori reti di ricarica. L'UFE invita gli altri operatori di stazioni di ricarica pubbliche per veicoli elettrici a unirsi a questa iniziativa.

fr: Stations de recharge pour voitures électriques

de: Ladestationen für Elektroautos

en: Charging points for electric cars

it: Stazioni di ricarica per auto elettriche

soci

fr: Population et société

de: Bevölkerung und Gesellschaft

en: Population and society

it: Popolazione e società

gove

de: Regierung und öffentlicher Sektor

it: Governo e settore pubblico

tran

fr: Transports

de: Verkehr

en: Transport

it: Trasporti

econ

fr: Économie et finances

de: Wirtschaft und Finanzen

en: Economy and finance

it: Economia e finanze

de: Bundesamt für Energie & Betreibende von Ladeinfrastruktur

bundesamt-fur-energie-bfe

fr: Office fédéral de l'énergie OFEN

de: Bundesamt für Energie BFE

en: Swiss Federal Office of Energy SFOE

it: Ufficio federale dell'energia UFE

fr: L'Office fédéral de l'énergie (OFEN) est le centre de compétences du Département fédéral de l'environnement, des transports, de l'énergie et de la communication (DETEC) pour les questions liées à l'approvisionnement en énergie et à son utilisation.

de: Das Bundesamt für Energie (BFE) ist das Kompetenzzentrum für Fragen der Energieversorgung und der Energienutzung im Eidgenössischen Departement für Umwelt, Verkehr, Energie und Kommunikation (UVEK).

en: The Swiss Federal Office of Energy (SFOE) is the country's competence centre for issues relating to energy supply and energy use at the Federal Department of the Environment, Transport, Energy and Communications (DETEC).

it: L'Ufficio federale dell'energia (UFE) è il centro di competenza in materia di approvvigionamento e di impiego dell'energia in seno al Dipartimento federale dell'ambiente, dei trasporti, dell'energia e delle comunicazioni (DATEC).

political_level: confederation


maintainer: Digital Innovation Office

title_for_slug: energiedashboard.ch: Stromverbrauch Prognose SDSC

de: strom endverbrauch ogd110-bfe data-science machine-learning prognose

fr: energiedashboard.ch : Prévisions de consommation d'électricité SDSC

en: energiedashboard.ch: Power consumption forecast SDSC

it: energiedashboard.ch: Previsione del consumo di energia SDSC

de: Stromverbrauch Prognose SDSC

format: CSV

fr: Le modèle de consommation d'électricité produit une estimation de la consommation d'électricité à l'échelle nationale suisse. Le modèle est entraîné sur des données provenant des sources suivantes : consommation nationale horaire fournie par Swissgrid (aperçu de l'énergie), données météorologiques de MétéoSuisse (y compris les prévisions météorologiques), et informations calendaires telles que les jours fériés fournis par le paquet de jours fériés python et les jours fériés acquis manuellement. Le modèle appartient à la catégorie des modèles additifs généralisés (GAM) et produit une prédiction sur une base horaire et quotidienne avec un intervalle de confiance inférieur et supérieur de 2,5 et 97,5 respectivement.

en: The electricity consumption model outputs an estimate of electricity consumption at the Swiss national scale. The model is trained on data from the following sources: hourly national consumption provided by Swissgrid (Energy overview), meteorological data from MeteoSwiss (including weather forecast), and calendar information such as public holidays as provided by the python holidays package and manually acquired holidays. The model belongs to the category of Generalized Additive Models (GAMs) and output is a prediction at an hourly and daily basis with a lower and upper confidence interval of 2.5 and 97.5 respectively.

de: Das Stromverbrauchsmodell liefert eine Schätzung des Stromverbrauchs auf nationaler Ebene in der Schweiz. Das Modell wird mit Daten aus den folgenden Quellen trainiert: stündlicher nationaler Verbrauch von Swissgrid (Energieübersicht), meteorologische Daten von MeteoSchweiz (einschliesslich Wettervorhersage) und Kalenderinformationen wie Feiertage, die vom python Holiday Package bereitgestellt werden, sowie manuell erfasste Feiertage. Das Modell gehört zur Kategorie der verallgemeinerten additiven Modelle (GAMs) und liefert eine Vorhersage auf stündlicher und täglicher Basis mit einem unteren und oberen Konfidenzintervall von 2,5 bzw. 97,5.

it: Il modello di consumo di elettricità produce una stima del consumo di elettricità su scala nazionale svizzera. Il modello è addestrato sui dati provenienti dalle seguenti fonti: consumo nazionale orario fornito da Swissgrid (panoramica dell'energia), dati meteorologici di MeteoSvizzera (comprese le previsioni del tempo) e informazioni sul calendario, come i giorni festivi forniti dal pacchetto vacanze di python e i giorni festivi acquisiti manualmente. Il modello appartiene alla categoria dei modelli additivi generalizzati (GAM) e il risultato è una previsione su base oraria e giornaliera con un intervallo di confidenza inferiore e superiore di rispettivamente 2,5 e 97,5 .

data-science

display_name: data-science

endverbrauch

display_name: endverbrauch

machine-learning

display_name: machine-learning

prognose

display_name: prognose

strom

display_name: strom

ener

fr: Énergie

de: Energie

en: Energy

it: Energia

gove

fr: Gouvernement et secteur public

en: Government and public sector


title_for_slug: energiedashboard.ch: Tägliche Flüsse in die und aus der Schweiz (Gas)

de: ogd101-bfe versorgungssicherheit gas nettoimport gasverbrauch

fr: energiedashboard.ch: Flux quotidiens d'importation et exportation (Gas)

en: energiedashboard.ch: Daily import and export flows (Gas)

it: energiedashboard.ch: Flussi giornalieri di import ed export (Gas)

fr:
L'importation nette est la différence quotidienne entre le total des flux de gaz vers la Suisse et les flux de gaz de la Suisse vers les pays voisins.

Le gaz est importé mais aussi exporté vers la Suisse via douze points d'entrée en provenance des pays voisins : Allemagne, France, Italie et Autriche. Le point d'entrée le plus important ces dernières années est Wallbach, sur le gazoduc de transit, par lequel transitent environ 80% des importations de gaz naturel.

L'importation nette est un indicateur de la consommation en Suisse, étant donné que la Suisse ne dispose pas de réserves propres notables. Il convient toutefois de faire la distinction entre l'importation nette, la consommation nationale et la consommation finale. L'importation nette comprend la consommation nationale moins l'injection de biogaz dans le réseau de gaz naturel (production suisse). La consommation finale correspond à la consommation nationale moins l'utilisation du gaz pour la production d'électricité et de chauffage urbain (transformation) et la consommation propre du secteur gazier ainsi que les pertes de transport et de réseau. Contrairement à la consommation finale de gaz, les pertes de transport, la consommation propre du secteur gazier ou les injections de biogaz sont incluses dans les importations nettes. Pour ces postes, aucune donnée n'est actuellement disponible sur une base mensuelle/journalière et la consommation finale ne peut donc pas être estimée.

Disclaimer Données

Les données proviennent de différentes sources. Les données actualisées quotidiennement sont disponibles à partir des sources publiques de l'UE. Elles sont affichées avec un retard de 3 jours, car elles sont alors complètes. Ces sources présentent toutefois certains problèmes de qualité pour la Suisse, dans la mesure où des flux parfois physiques, parfois uniquement commerciaux, sont disponibles. D'une pertinence manifestement variable, elles peuvent être utilisées de manière transitoire pour une approximation des importations nettes. Cela ne change pas grand-chose aux tendances générales des importations nettes. Des données quotidiennes fiables sur les importations nettes, la consommation nationale et la consommation finale ne sont pas disponibles actuellement. L'OFAE, en collaboration avec l'OFEN, travaille sur des solutions avec le VSG. Les données sur les importations nettes mensuelles proviennent de l'Association Suisse de l'Industrie Gazière (ASIG).

en:
Net import is the daily difference between the total gas flows into Switzerland and the gas flows from Switzerland to neighbouring countries.

Gas is imported into Switzerland via twelve entry points from the surrounding countries of Germany, France, Italy and Austria, but it is also exported. The most important entry point in recent years has been Wallbach on the transit gas pipeline, which handles around 80% of natural gas imports.

Net imports are an indicator of consumption in Switzerland, as Switzerland has no significant storage facilities of its own. However, a distinction must be made between net imports, national consumption and final consumption. Net import includes national consumption minus biogas injection into the natural gas grid (Swiss production). Final consumption results from national consumption minus gas input for the production of electricity and district heating (conversion) and the gas sector's own consumption as well as transport and network losses. In contrast to the final consumption of gas, transport losses, own consumption of the gas sector or biogas feed-ins are included in net imports. For these items, no data are currently available on a monthly/daily basis, which is why final consumption cannot be estimated.

Disclaimer Data

Data are obtained from different sources. Daily updated data are available from EU public sources. They are shown with a delay of 3 days, as they are then complete. However, these sources have certain quality problems for Switzerland in that sometimes physical flows are available, sometimes only commercial flows. Obviously of varying significance, they can be used transitionally for an approximation of net imports. This does not change much in the rough trends of net imports. Reliable daily data on net imports, national consumption and final consumption are currently not available. The FONES is working on solutions with the Swiss Federal Office of Energy (SFOE) and the Swiss Association of Energy Producers (VSG). The data on monthly net imports come from the Swiss Gas Industry Association (VSG).

de:
Als Nettoimport versteht man den täglichen Unterschied zwischen den gesamten Gasflüssen in die Schweiz und den Gasflüssen aus der Schweiz in die Nachbarländer.

Gas wird über zwölf Einspeisepunkte aus den umliegenden Ländern Deutschland, Frankreich, Italien und Österreich in die Schweiz importiert aber auch exportiert. Der wichtigste Einspeisepunkt in den letzten Jahren war Wallbach auf der Transitgasleitung, über den rund 80% der Erdgasimporte abgewickelt werden.

Der Nettoimport ist ein Indikator für den Verbrauch in der Schweiz, da die Schweiz über keine namhaften eigenen Speicher verfügt. Es muss jedoch zwischen Nettoimport, Landesverbrauch und Endverbrauch unterschieden werden. Der Nettoimport umfasst den Landesverbrauch abzüglich der Biogaseinspeisung ins Erdgasnetz (Schweizer Produktion). Der Endverbrauch ergibt sich aus dem Landesverbrauch abzüglich dem Gaseinsatz für die Erzeugung von Elektrizität und Fernwärme (Umwandlung) und dem Eigenverbrauch des Gassektors sowie Transport- und Netzverlusten. Im Unterschied zum Endverbrauch von Gas sind Transportverluste, Eigenverbrauch des Gassektors oder Biogaseinspeisungen im Nettoimport enthalten. Für diese Posten sind aktuell keine Daten auf Monats-/Tagesbasis verfügbar, weshalb der Endverbrauch nicht abgeschätzt werden kann.

Disclaimer Daten

Die Daten werden aus unterschiedlichen Quellen bezogen. Tagesaktuelle Daten sind aus den öffentlichen Quellen der EU verfügbar. Sie werden mit einem Verzug von 3 Tagen angezeigt, da sie dann vollständig sind. Diese Quellen weisen aber für die Schweiz gewisse Qualitätsprobleme auf, indem manchmal physische, manchmal nur kommerzielle Flüsse verfügbar sind. Offensichtlich unterschiedlich aussagekräftig können sie übergangsweise für eine Näherung der Nettoimporte verwendet werden. An den groben Tendenzen des Nettoimportes ändert dies nicht viel. Belastbare tägliche Daten zu Nettoimporten, Landesverbrauch und Endverbräuch sind aktuell nicht verfügbar. Das BWL arbeitet unter Einbezug des BFE mit dem VSG an Lösungen. Die Daten zu den monatlichen Nettoimporten stammen vom Verband der Schweizerischen Gasindustrie (VSG).

it:
L'importazione netta è la differenza giornaliera tra i flussi totali di gas in Svizzera e i flussi di gas dalla Svizzera verso i Paesi limitrofi.

Il gas viene importato in Svizzera attraverso dodici punti di ingresso dai Paesi limitrofi di Germania, Francia, Italia e Austria, ma viene anche esportato. Il punto di ingresso più importante negli ultimi anni è stato Wallbach sul gasdotto di transito, che gestisce circa l'80% delle importazioni di gas naturale.

Le importazioni nette sono un indicatore del consumo in Svizzera, in quanto la Svizzera non dispone di strutture di stoccaggio significative proprie. Tuttavia, occorre distinguere tra importazioni nette, consumo nazionale e consumo finale. L'importazione netta comprende il consumo nazionale meno l'iniezione di biogas nella rete del gas naturale (produzione svizzera). Il consumo finale deriva dal consumo nazionale meno l'apporto di gas per la generazione di elettricità e il teleriscaldamento (conversione) e il consumo proprio del settore del gas, nonché il trasporto e le perdite di rete. A differenza del consumo finale di gas, le perdite di trasporto, il consumo proprio del settore del gas o le immissioni di biogas sono incluse nelle importazioni nette. Per queste voci, attualmente non sono disponibili dati su base mensile/giornaliera, motivo per cui non è possibile stimare il consumo finale.

Disclaimer Data

I dati sono ottenuti da diverse fonti. I dati aggiornati quotidianamente sono disponibili presso le fonti pubbliche dell'UE. Vengono mostrati con un ritardo di 3 giorni, perché poi sono completi. Tuttavia, queste fonti presentano alcuni problemi di qualità per la Svizzera, in quanto a volte sono disponibili flussi fisici, a volte solo flussi commerciali. Ovviamente di importanza variabile, possono essere utilizzati transitoriamente per un'approssimazione delle importazioni nette. Questo non cambia molto nelle tendenze approssimative delle importazioni nette. Attualmente non sono disponibili dati giornalieri affidabili sulle importazioni nette, sul consumo nazionale e sul consumo finale. Il FONES sta lavorando a soluzioni con l'Ufficio federale dell'energia (UFE) e l'Associazione svizzera dei produttori di energia (VSG). I dati sulle importazioni nette mensili provengono dall'Associazione svizzera dell'industria del gas (VSG).


energiedashboard-ch-energiepreise

title_for_slug: energiedashboard.ch: Energiepreise

de: ogd106-bfe strom gas mineralol treibstoffe

fr: energiedashboard.ch: Prix de l'énergie

de: energiedashboard.ch: Energiepreise

en: energiedashboard.ch: Energy prices

author: Bundesamt für Energie BFE

de: European Power Exchange

de: European Energy Exchange - Gas

de: European Energy Exchange - Strom

fr: Indice des prix du Diesel: Consommation finale (indice national des prix à la consommation)

de: Dieselpreis Endverbraucher (Landesindex Konsumentenpreise)

en: Price index Diesel final consumption (national consumer price index)

it: Indice dei prezzi del Diesel per il consumo finale (indice nazionale dei prezzi al consumo)

fr: Évolution des prix finaux du diesel selon l'indice des prix à la consommation en Suisse

en: Development of end consumer prices for diesel according to the national consumer price index in Switzerland

de: Entwicklung der Endverbraucherpreise Diesel gemäss Landesindex der Konsumentenpreise in der Schweiz

it: Andamento dei prezzi al consumo finale del diesel in base all'indice nazionale dei prezzi al consumo in Svizzera

fr: Prix du gaz TTF "premier mois" (indexé)

de: Gaspreis TTF «Frontmonat» (indexiert)

en: Gas price TTF "front month" (indexed)

it: Prezzo del gas TTF "mese anteriore" (indicizzato)

fr: Évolution des prix du gaz sur le point d'échange TTF pour le mois suivant, c'est-à-dire les prix du gaz à l'achat pour la livraison du mois suivant. Les prix sont indexés sur le prix moyen 2019-2020

en: Development of gas prices on the TTF trading point for the following month, i.e. the gas prices in the purchase for delivery in the coming month. The prices are indexed to the average price 2019-2020

de: Entwicklung der Gaspreise auf dem TTF Handelspunkt für den Folgemonat, also die Gaspreise im Einkauf für die Lieferung im kommenden Monat. Die Preise sind indexiert auf den Durchschnittspreis 2019-2020.

it: Sviluppo dei prezzi del gas sul punto di negoziazione TTF per il mese successivo, ossia i prezzi del gas nell'acquisto per la consegna nel mese successivo. I prezzi sono indicizzati al prezzo medio del 2019-2020

fr: Indice des prix de la consommation finale de gaz (indice national des prix à la consommation)

de: Gaspreisindex Endverbraucher (Landesindex Konsumentenpreise)

en: Price index gas final consumption (national consumer price index)

it: Indice dei prezzi del gas per il consumo finale (indice nazionale dei prezzi al consumo)

fr: Évolution des prix du gaz à la consommation finale indexés selon l'indice des prix à la consommation en Suisse. La base est le prix en décembre 2020 (=100)

en: Development of end consumer prices for gas indexed according to the national consumer price index in Switzerland. The basis is the prices in December 2020 (=100)

de: Entwicklung der Endverbraucherpreise Gas indexiert gemäss Landesindex der Konsumentenpreise in der Schweiz. Basis sind die Preise im Dezember 2020 (=100)

it: Andamento dei prezzi al consumo finali del gas indicizzati secondo l'indice nazionale dei prezzi al consumo in Svizzera. La base è costituita dai prezzi del dicembre 2020 (=100)

fr: Prix de l'électricité sur le marché spot "Day Ahead" Base Suisse

de: Strompreis Spotmarkt «Day Ahead» Base

en: Electricity Price Spot Market "Day Ahead" Base Switzerland

it: Prezzo dell'elettricità Mercato spot "Day ahead" Base Svizzera

fr: Évolution des prix de détail de l'électricité indexés selon l'indice des prix à la consommation en Suisse. La base est le prix en décembre 2020 (=100)

en: Development of electricity end-user prices indexed according to the national consumer price index in Switzerland. The basis is the prices in December 2020 (=100)

de: Entwicklung der Strompreise auf den Spotmärkten für «day ahead» Preise, also die Strompreise im Einkauf für den Konsum morgen.

it: Andamento dei prezzi dell'elettricità per gli utenti finali, indicizzati secondo l'indice nazionale dei prezzi al consumo in Svizzera. La base è costituita dai prezzi del dicembre 2020 (=100)

fr: Indice des prix du mazout Consommation finale (indice national des prix à la consommation)

de: Heizölpreis Endverbraucher (Landesindex Konsumentenpreise)

en: Price index for final heating oil consumption (national consumer price index)

it: Indice dei prezzi per il consumo finale di gasolio da riscaldamento (indice nazionale dei prezzi al consumo)

fr: Évolution des prix du mazout à la consommation finale indexés selon l'indice des prix à la consommation en Suisse. La base est le prix en décembre 2020 (=100)

en: Development of end consumer prices for heating oil indexed according to the national consumer price index in Switzerland. The basis is the prices in December 2020 (=100)

de: Entwicklung der Endverbraucherpreise Heizöl indexiert gemäss Landesindex der Konsumentenpreise in der Schweiz. Basis sind die Preise im Dezember 2020 (=100)

it: Andamento dei prezzi finali al consumo per il gasolio da riscaldamento, indicizzati secondo l'indice nazionale dei prezzi al consumo in Svizzera. La base è costituita dai prezzi del dicembre 2020 (=100)

fr: Indice des prix de l'essence Consommation finale (indice national des prix à la consommation)

de: Benzinpreis Endverbraucher (Landesindex Konsumentenpreise)

en: Price index petrol final consumption (national consumer price index)

it: Indice dei prezzi della benzina per il consumo finale (indice nazionale dei prezzi al consumo)

fr: Évolution des prix de détail de l'essence indexés selon l'indice des prix à la consommation en Suisse. La base est le prix en décembre 2020 (=100)

en: Development of end consumer prices for petrol indexed according to the national consumer price index in Switzerland. The basis is the prices in December 2020 (=100)

de: Entwicklung der Endverbraucherpreise Benzin indexiert gemäss Landesindex der Konsumentenpreise in der Schweiz. Basis sind die Preise im Dezember 2020 (=100)

it: Andamento dei prezzi al consumo finali della benzina indicizzati secondo l'indice nazionale dei prezzi al consumo in Svizzera. La base è costituita dai prezzi del dicembre 2020 (=100)

fr: Indice des prix de l'électricité Consommation finale (indice national des prix à la consommation)

de: Strompreisindex Endverbraucher (Landesindex Konsumentenpreise)

en: Price index electricity final consumption (national consumer price index)

it: Indice dei prezzi dei consumi finali di elettricità (indice nazionale dei prezzi al consumo)

de: Entwicklung der Endverbraucherpreise Strom indexiert gemäss Landesindex der Konsumentenpreise in der Schweiz. Basis sind die Preise im Dezember 2020 (=100)

fr: Indice des prix du bois de chauffage: Consommation finale (indice national des prix à la consommation)

de: Brennholzpreis Endverbraucher (Landesindex Konsumentenpreise)

en: Price index firewood final consumption (national consumer price index)

it: Indice dei prezzi della legna da ardere per il consumo finale (indice nazionale dei prezzi al consumo)

fr: Évolution des prix finaux du bois de chauffage selon l'indice des prix à la consommation en Suisse

en: Development of end consumer prices for firewood according to the national consumer price index in Switzerland

de: Entwicklung der Endverbraucherpreise Brennholz gemäss Landesindex der Konsumentenpreise in der Schweiz

it: Andamento dei prezzi al consumo finale della legna da ardere in base all'indice nazionale dei prezzi al consumo in Svizzera

fr: Indice des prix du chauffage à distance: Consommation finale (indice national des prix à la consommation)

de: Fernwärmepreis Endverbraucher (Landesindex Konsumentenpreise)

en: Price index district heating final consumption (national consumer price index)

it: Indice dei prezzi del teleriscaldamento per il consumo finale (indice nazionale dei prezzi al consumo)

fr: Évolution des prix finaux du chauffage à distance selon l'indice des prix à la consommation en Suisse

en: Development of end consumer prices for district heating according to the national consumer price index in Switzerland

de: Entwicklung der Endverbraucherpreise fernwärme gemäss Landesindex der Konsumentenpreise in der Schweiz

it: Andamento dei prezzi al consumo finale del teleriscaldamento in base all'indice nazionale dei prezzi al consumo in Svizzera

fr:
Les prix de l'énergie sur les marchés sont un indicateur important de la situation actuelle du marché et de l'approvisionnement en Europe et en Suisse. L'offre (production) y est combinée à la demande (consommation) et donne en fin de compte un prix pour un produit énergétique donné. Il existe des marchés pour différents produits. Les marchés spot donnent des signaux à court terme du marché : le marché "day ahead" indique le prix de gros pour le lendemain. Les prix du produit "Base" indiquent la moyenne arithmétique des prix pour une livraison dans les 24 heures suivantes. Le marché intrajournalier consiste à acheter et à vendre de l'énergie qui sera livrée le jour même.

Ce recueil de données fournit des informations sur différentes sources d'énergie. Il s'agit de l'électricité, du gaz, du mazout, du diesel et de l'essence. Différentes données sont utilisées à cet effet. Pour l'électricité et le gaz, ce sont les données des bourses qui sont utilisées. Contrairement aux prix de l'électricité, les données sur les prix du gaz sont référencées sur une année de base, car des questions de licence doivent encore être réglées. D'autres données sur les prix sont obtenues auprès de l'Office fédéral de la statistique.

Les prix de l'électricité et du gaz ne constituent toutefois pas directement le prix de détail que les clients privés et professionnels paient à leur entreprise locale de distribution d'énergie. Ces prix de détail dépendent entre autres de la stratégie d'approvisionnement (achat à long terme ou achat à court terme sur le marché) de l'entreprise locale d'approvisionnement en énergie. Dans le cas de l'électricité, le prix de détail dépend également de la part d'électricité produite dans les centrales électriques de l'entreprise, de la qualité de l'électricité (renouvelable ou non), des coûts de réseau et des taxes.

En ce qui concerne les prix de détail, l'indice des prix à la consommation (IPC) est déterminant. Il mesure l'évolution des prix (renchérissement) des biens et services importants pour les ménages privés (panier-type). Il indique de combien les biens de consommation ont augmenté par rapport au mois précédent, à l'année précédente ou à toute autre date antérieure. L'indice est basé sur le mois de décembre 2020. L'évolution des prix est mesurée à l'aide du panier de biens et services, qui comprend également les principales sources d'énergie - donc aussi l'électricité. La méthode de calcul est gérée par l'Office fédéral de la statistique.

en:
Energy prices on the markets are an important indicator of the current market and supply situation in Europe and Switzerland. Supply (production) is combined here with demand (consumption) and ultimately results in a price for a specific energy product. There are markets for different products. The spot markets give short-term signals from the market: the "Day Ahead" market indicates the wholesale price for the following day. The "Base" product prices indicate the arithmetic mean of the prices for a delivery in the following 24 hours. In intraday trading, energy is bought and sold for delivery on the same day.

This data collection provides information on various energy sources. These include electricity (power), gas, heating oil, diesel and petrol. Different data are used for this purpose. For electricity and gas, data from the stock exchanges are used. In contrast to electricity prices, the data on gas prices are referenced to a base year, as licensing issues still need to be clarified. Other price data is obtained from the Federal Statistical Office.

However, the prices for electricity and gas do not directly result in the end consumer price that private and commercial customers pay to their local energy supply company. These end-customer prices depend, among other things, on the procurement strategy (long-term purchases or short-term purchases on the market) of the local energy supply company. In the case of electricity, the end-user price also depends on the share of electricity produced in the utility's own power plants, the quality of the electricity (renewable or not), the grid costs and levies.

The national consumer price index (CPI) is decisive for end customer prices. It measures the price development (inflation) of goods and services that are important for private households (basket of goods). It shows by how much consumer goods have become more expensive compared to the previous month, the previous year or any other earlier point in time. The index is based on December 2020. The price development is measured on the basis of the basket of goods, which also includes the most important energy sources - i.e. also electricity. The calculation methodology is managed by the Federal Statistical Office.

de:
Die Energiepreise an den Märkten sind ein wichtiger Indikator für die aktuelle Markt- und Versorgungssituation in Europa und der Schweiz. Angebot (Produktion) wird hier mit der Nachfrage (Verbrauch) zusammengeführt und ergibt letztlich einen Preis für ein bestimmtes Energieprodukt. Es gibt Märkte für unterschiedliche Produkte. Die Spotmärkte geben kurzfristige Signale des Marktes wieder: Der «Day Ahead»-Markt gibt den Grosshandelspreis für den Folgetag an. Die Preise des Produktes «Base» geben das arithmetische Mittel der Preise für eine Lieferung in den folgenden 24 Stunden an. Beim Intraday-Handel wird Energie gekauft und verkauft, die noch am gleichen Tag geliefert wird.

Diese Datensammlung stellt Informationen zu verschiedenen Energieträgern bereit. Diese umfassen Elektrizität (Strom), Gas, Heizöl, Diesel und Benzin. Dabei werden unterschiedliche Daten herangezogen. Für Strom und Gas werden Daten der Börsen herangezogen. Die Daten zu den Gaspreisen sind im Gegensatz zu den Strompreise referenziert auf ein Basisjahr, da noch Lizenzfragen zu klären sind. Weitere Preisdaten werden vom Bundesamt für Statistik bezogen.

Die Preise für Strom und Gas ergeben allerdings nicht direkt den Endverbraucherpreis, den die Privat- und Gewerbekunden ihrem lokalen Energieversorgungsunternehmen bezahlen. Diese Endkundenpreise hängen unter anderem von der Beschaffungsstrategie (langfristig eingekauft oder kurzfristig am Markt besorgt) des lokalen Energieversorgungsunternehmen ab. Beim Strom hängt der Endverbrauchpreis auch vom Anteil an in eigenen Kraftwerken produzierten Strom, von der Qualität des Stromes (erneuerbar oder nicht), von den Netzkosten und Abgaben ab.

Hinsichtlich der Endkundenpreise ist der Landesindex der Konsumentenpreise (LIK) massgebend. Er misst die Preisentwicklung (Teuerung) der für die privaten Haushalte bedeutsamen Waren und Dienstleistungen (Warenkorb). Er zeigt, um wie viel die Konsumgüter gegenüber dem Vormonat, dem Vorjahr oder jedem anderen früheren Zeitpunkt teurer geworden sind. Der Index ist auf den Dezember 2020 bezogen. Die Preisentwicklung wird anhand des Warenkorbs gemessen, der auch die wichtigsten Energieträger - also auch Strom - enthält. Die Berechnungsmethodik wird durch das Bundesamt für Statistik verwaltet.

it:
I prezzi dell'energia sui mercati sono un importante indicatore dell'attuale situazione del mercato e dell'offerta in Europa e in Svizzera. L'offerta (produzione) si combina con la domanda (consumo) e alla fine si ottiene il prezzo di uno specifico prodotto energetico. Esistono mercati per prodotti diversi. I mercati spot forniscono segnali a breve termine dal mercato: il mercato "Day Ahead" indica il prezzo all'ingrosso per il giorno successivo. I prezzi dei prodotti "Base" indicano la media aritmetica dei prezzi per una consegna nelle 24 ore successive. Nel trading intraday, l'energia viene acquistata e venduta per la consegna nello stesso giorno.

Questa raccolta dati fornisce informazioni su varie fonti energetiche. Questi includono l'elettricità (corrente), il gas, il gasolio per riscaldamento, il diesel e la benzina. A tal fine vengono utilizzati diversi dati. Per l'elettricità e il gas si utilizzano i dati delle borse valori. A differenza dei prezzi dell'elettricità, i dati sui prezzi del gas sono riferiti a un anno base, poiché le questioni relative alle licenze devono ancora essere chiarite. Altri dati sui prezzi sono stati ottenuti dall'Ufficio federale di statistica.

Tuttavia, i prezzi dell'elettricità e del gas non si traducono direttamente nel prezzo al consumo finale che i clienti privati e commerciali pagano alla loro società di fornitura energetica locale. Questi prezzi per i clienti finali dipendono, tra l'altro, dalla strategia di approvvigionamento (acquisti a lungo termine o acquisti a breve termine sul mercato) dell'azienda fornitrice di energia locale. Nel caso dell'elettricità, il prezzo per l'utente finale dipende anche dalla quota di elettricità prodotta nelle centrali elettriche dell'azienda, dalla qualità dell'elettricità (rinnovabile o meno), dai costi di rete e dai prelievi.

L'indice nazionale dei prezzi al consumo (CPI) è determinante per i prezzi al cliente finale. Misura l'andamento dei prezzi (inflazione) di beni e servizi importanti per le famiglie (paniere di beni). Indica di quanto i beni di consumo sono diventati più costosi rispetto al mese precedente, all'anno precedente o a qualsiasi altro momento precedente. L'indice si basa su dicembre 2020. L'andamento dei prezzi è misurato sulla base di un paniere di beni che comprende anche le fonti energetiche più importanti, cioè anche l'elettricità. La metodologia di calcolo è gestita dall'Ufficio federale di statistica.


de: ogd104-bfe versorgungssicherheit strom kernkraft erneuerbare-energien wasserkraft

fr: energiedashboard.ch: Producion d'électricité Swissgrid

en: energiedashboard.ch: Electricity production Swissgrid

it: energiedashboard.ch: Produzione di elettricità Swissgrid

de: Bundesamt für Energie BFE

fr:
En Suisse, il existe un grand nombre de centrales électriques qui produisent de l'énergie électrique (électricité). En ce qui concerne la production, on distingue les catégories suivantes : centrales nucléaires, centrales thermiques, centrales hydroélectriques fluviales, centrales hydroélectriques à accumulation, centrales éoliennes et centrales photovoltaïques. La production de ces centrales est entraînée par différents facteurs. Alors que les centrales à accumulation et à pompage-turbinage, par exemple, sont fortement guidées par le marché (en fonction des signaux de prix), les centrales nucléaires produisent de l'énergie en bande. En revanche, le photovoltaïque et l'éolien dépendent du soleil et du vent.

La production en Suisse, ajoutée aux importations et aux exportations, donne la consommation nationale, y compris la consommation des centrales de pompage-turbinage.

La tendance indique l'évolution de la production totale suisse par rapport à la moyenne des 10 derniers jours.

Disclaimer Données

Les données relatives aux mesures de la production suisse ne sont pas satisfaisantes. Alors que des données de mesure avec une résolution horaire sont disponibles pour les moyennes et grandes centrales, de telles données ne sont pas disponibles pour les plus petites installations ou ne concernent que l'injection dans le réseau au lieu de la production. De plus, toutes les données de mesure des installations décentralisées ne sont mises à disposition par les gestionnaires de réseau pour un enregistrement central dans différentes résolutions qu'avec plusieurs semaines de retard, conformément aux exigences légales en matière de promotion ou d'obligation de garantie d'origine. Il faut donc travailler avec des modèles qui prennent en compte les données météorologiques telles que la température, le rayonnement solaire et les précipitations. En outre, le comportement historique des catégories de production d'électricité est pris en compte. La production affichée dans la résolution journalière comprend à la fois des données mesurées et des données modélisées. Il peut y avoir des différences avec les statistiques fédérales de l'électricité en raison des données et des modélisations.

en:
In Switzerland, there are a large number of power plants that produce electrical energy (electricity). In terms of production, a distinction is made between the categories of nuclear power plants, thermal power plants, river hydropower, storage hydropower, wind power and photovoltaics. The production of these power plants is driven by different factors. For example, while storage and pumped storage power plants are strongly market-driven (based on price signals), nuclear power plants produce band energy. Photovoltaics and wind, on the other hand, are dependent on the sun and wind.

The production in Switzerland together with import and export results in the country's consumption including the consumption of pumped storage.

The trend indicates the development of the total Swiss production compared to the average of the last 10 days.

Disclaimer Data

The data situation regarding measurements of Swiss production is not satisfactory. While measurement data in hourly resolution are available for medium and large power plants, such data are not available for the smaller plants or only feed-in to the grid instead of production. In addition, all the measurement data from the decentralised plants are only made available by the grid operators for central recording in different resolutions with a delay of several weeks, in accordance with the legal requirements for subsidies or the guarantee of origin obligation. Thus, models have to be used which take into account meteorological data such as temperature, solar radiation and precipitation. In addition, the historical behaviour of the electricity generation categories is used. The production shown in the daily resolution includes both measured and modelled data. Due to the data situation and the modelling, there may be deviations from the electricity statistics of the federal government.

de:
In der Schweiz gibt es eine Vielzahl an Kraftwerken, die elektrische Energie (Strom) produzieren. Bei der Produktion werden die Kategorien Kernkraftwerke, thermische Kraftwerke, Flusswasserkraft, Speicherwasserkraft, Windkraft und Photovoltaik unterschieden. Die Produktion dieser Kraftwerke ist getrieben durch unterschiedliche Faktoren. Während beispielsweise Speicher- und Pumpspeicherkraftwerke stark marktgetrieben (anhand von Preissignalen) eingesetzt werden, produzieren die Kernkraftwerke Bandenergie. Photovoltaik und Wind sind hingegen abhängig von Sonne und Wind.

Die Produktion in der Schweiz zusammen mit Import und Export ergibt den Landesverbrauch inklusive des Verbrauchs der Pumpspeicher.

Der Trend gibt die Entwicklung der Schweizer Gesamtproduktion im Vergleich zum Durchschnitt der letzten 10 Tage an.

Disclaimer Daten

Die Datenlage in Bezug auf Messungen zur Schweizer Produktion ist nicht zufriedenstellend. Während für mittlere und grosse Kraftwerke Messdaten in stündlicher Auflösung verfügbar sind, sind solche Daten für die kleineren Anlagen nicht verfügbar oder nur die Einspeisung in das Netz anstelle der Produktion. Zudem werden alle Messdaten der dezentralen Anlagen nur mit mehreren Wochen Verzögerung durch die Netzbetreiber für eine zentrale Erfassung in unterschiedlichen Auflösungen bereitgestellt entsprechend den rechtlichen Anforderungen zu Förderung oder zur Herkunftsnachweispflicht. So muss mit Modellen gearbeitet werden, welche meteorologische Daten wie Temperatur, Sonneneinstrahlung, Niederschlag berücksichtigen. Zusätzlich wird das historische Verhalten der Stromerzeugungskategorien herbeigezogen. Die in der Tagesauflösung angezeigte Produktion umfasst sowohl gemessene als auch modellierte Daten. Es kann aufgrund der Datenlagen und den Modellierungen Abweichungen zur Elektrizitätsstatistik des Bundes geben.

it:
In Svizzera, ci sono un gran numero di centrali elettriche che producono energia elettrica (elettricità). In termini di produzione, si distingue tra le categorie di centrali nucleari, centrali termiche, energia idroelettrica fluviale, energia idroelettrica di accumulo, energia eolica e fotovoltaica. La produzione di queste centrali elettriche è guidata da diversi fattori. Per esempio, mentre le centrali di accumulo e di pompaggio sono fortemente orientate al mercato (basandosi sui segnali di prezzo), le centrali nucleari producono energia di banda. Il fotovoltaico e l'eolico, invece, dipendono dal sole e dal vento.

La produzione in Svizzera, insieme all'importazione e all'esportazione, si traduce nel consumo del Paese, compreso il consumo dell'accumulo con pompaggio.

Il trend indica l'andamento della produzione totale svizzera rispetto alla media degli ultimi 10 giorni.

Disclaimer Dati

La situazione dei dati relativi alle misurazioni della produzione svizzera non è soddisfacente. Mentre i dati di misurazione con risoluzione oraria sono disponibili per le centrali elettriche di medie e grandi dimensioni, tali dati non sono disponibili per le centrali più piccole o che si limitano all'immissione in rete invece che alla produzione. Inoltre, tutti i dati di misurazione degli impianti decentralizzati vengono resi disponibili dai gestori di rete solo per la registrazione centrale in diverse risoluzioni con un ritardo di diverse settimane, in conformità con i requisiti legali per le sovvenzioni o l'obbligo di garanzia di origine. Pertanto, è necessario utilizzare modelli che tengano conto dei dati meteorologici come la temperatura, la radiazione solare e le precipitazioni. Inoltre, viene utilizzato il comportamento storico delle categorie di generazione elettrica. La produzione mostrata nella risoluzione giornaliera comprende sia i dati misurati che quelli modellati. A causa della situazione dei dati e della modellazione, potrebbero esserci delle deviazioni rispetto alle statistiche sull'elettricità del governo federale.

ener

fr: Énergie

de: Energie

en: Energy

it: Energia

gove

fr: Gouvernement et secteur public

de: Regierung und öffentlicher Sektor

en: Government and public sector

it: Governo e settore pubblico

econ

fr: Économie et finances

de: Wirtschaft und Finanzen

en: Economy and finance

it: Economia e finanze

bundesamt-fur-energie-bfe

fr: Office fédéral de l'énergie OFEN

en: Swiss Federal Office of Energy SFOE

it: Ufficio federale dell'energia UFE

fr: L'Office fédéral de l'énergie (OFEN) est le centre de compétences du Département fédéral de l'environnement, des transports, de l'énergie et de la communication (DETEC) pour les questions liées à l'approvisionnement en énergie et à son utilisation.

de: Das Bundesamt für Energie (BFE) ist das Kompetenzzentrum für Fragen der Energieversorgung und der Energienutzung im Eidgenössischen Departement für Umwelt, Verkehr, Energie und Kommunikation (UVEK).

en: The Swiss Federal Office of Energy (SFOE) is the country's competence centre for issues relating to energy supply and energy use at the Federal Department of the Environment, Transport, Energy and Communications (DETEC).

it: L'Ufficio federale dell'energia (UFE) è il centro di competenza in materia di approvvigionamento e di impiego dell'energia in seno al Dipartimento federale dell'ambiente, dei trasporti, dell'energia e delle comunicazioni (DATEC).


flussgebiete-einzugsgebiete

regi

fr: Régions et villes

de: Regionen und Städte

en: Regions and cities

it: Regioni e città

envi

fr: Environnement

de: Umwelt

en: Environment

it: Ambiente

title_for_slug: flussgebiete-einzugsgebiete

fr: geocat.ch permalien

de: geocat.ch Permalink

en: geocat.ch permalink

it: geocat.ch link permanente

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

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

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

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

fr: Aperçu map.geo.admin.ch

de: Vorschau map.geo.admin.ch

en: Preview map.geo.admin.ch

it: Previsione map.geo.admin.ch

format: SERVICE

fr: Service WMS-IFDG, couche "Bassin fluvial"

de: WMS-BGDI Dienst, Layer "Flussgebiet"

en: WMS-FSDI service, layer "River basins"

it: Servizio WMS-IFDG, strato "Bacino fluviale"

fr: Service WMTS-IFDG, couche , Layer "Bassin fluvial"

de: WMTS-BGDI Dienst, Layer "Flussgebiet"

en: WMTS-FSDI service, layer "River basins"

it: Servizio WMTS-IFDG, strato "Bacino fluviale"

format: WMTS

fr: RESTful API de geo.admin.ch

de: RESTful API von geo.admin.ch

en: RESTful API from geo.admin.ch

it: RESTful API da geo.admin.ch

format: API

fr: Download

de: Download

en: Download

it: Download

format: HTML

fr: Les bassins fluviaux constituent le niveau d’agrégation supérieur du jeu de géodonnées de base « Bassins versants topographiques des eaux suisses ». Les grands bassins versants avec une surface de plusieurs milliers de km2 sont drainés par de grands cours d’eau : Rhin, Aar, Reuss, Limmat, Thur, Rhône, Ticino, Inn, Adda et Adige.

de: Die Flussgebiete bilden die oberste Aggregationsebene des Geobasisdatensatzes «Topographische Einzugsgebiete der Schweizer Gewässer». Die grossen Gebiete mit Flächen von meist mehreren 1000 km² werden durch grosse Fliessgewässer entwässert: Rhein, Aare, Reuss, Limmat, Thur, Rhone, Ticino, Inn, Adda und Adige.

en: The river basins form the uppermost aggregation level for the "Topographical catchment areas of Swiss waterbodies" geodata set. The large areas with a surface area of usually more than 1000km² are drained by large watercourses: the Rhine, Aar, Reuss, Limmat, Thur, Rhône, Ticino, Inn, Adda and Adige.

it: I bacini fluviali costituiscono il livello di aggregazione superiore del record di geodati di base «Bacini imbriferi topografici dei corsi d'acqua svizzeri». I grandi bacini con superfici che si estendono per lo più per diverse migliaia di km² sono drenati da grandi corsi d'acqua: Reno, Aare, Reuss, Limmat, Thur, Rodano, Ticino, Inn, Adda e Adige.

spatial: Schweiz

fr: Office fédéral de l'environnement /Division Hydrologie

de: Bundesamt für Umwelt / Abteilung Hydrologie

en: Federal Office for the Environment / Hydrology Division

it: Ufficio federale dell'ambiente / Divisione Idrologia

bundesamt-fur-umwelt-bafu

fr: Office fédéral de l'environnement OFEV

de: Bundesamt für Umwelt BAFU

en: Federal Office for the Environment FOEN

it: Ufficio federale dell'ambiente UFAM

fr: L’autorité compétente pour les questions environnementales. Il est à ce titre chargé de gérer les ressources naturelles selon les principes du développement durable et de protéger l’homme contre les dangers naturels et l’environnement contre les pollutions.

de: Die Fachbehörde für die Umwelt. Es ist zuständig für die nachhaltige Nutzung der natürlichen Ressourcen sowie für den Schutz des Menschen vor Naturgefahren und den Schutz der Umwelt vor übermässigen Belastungen.

en: The federal environmental authority. It is responsible for ensuring that natural resources are used sustainably, that the public is protected against natural hazards, and that the environment is protected from unacceptable adverse impacts.

it: Il servizio specializzato in materia ambientale, è competente per quanto riguarda l'utilizzazione sostenibile delle risorse naturali, la protezione delle persone dai pericoli naturali e dell'ambiente da un inquinamento eccessivo.

fr: Bassin fluvial

de: Flussgebiete (Einzugsgebiete)

en: River basins (catchment areas)

it: Bacini fluviali (bacini imbriferi)


maintainer: EnviDat Support

en: snow-depth-distribution snow-hydrology photogrammetry davos dischma avalanches

en: Snowdepth maps

format: GeoTIFF

en:
The available datasets are snow depth maps with a spatial resolution of 0.5 m derived from images of the survey camera Vexcel Ultracam mounted on a piloted airplane. Image acquisition was carried out during the approximately peak of winter (time when the thickest snowpack is expected) in spring. The snow depth maps are calculated by the subtraction of a summer-DTM from the processed winter- DSM of the corresponding date. The summer-DTM used was derived from a point cloud of an airborne laser scanner from 2020.

Due to the occurrence of inaccuracies of the calculated snow depth values caused by the photogrammetric method, we applied different masks to significantly increase the reliability of the snow depth maps. We masked out settled areas, high-frequented streets and technical constructions, pixels with high vegetation (height > 0.5 m) , outliers and unrealistic snow depth values. In addition, we modified the snow depth values of snow-free pixels to 0.
The information on buildings and infrastructure comes from the exactly classified ALS point cloud and the TLM dataset from Swisstopo (https://www.swisstopo.admin.ch/de/geodata/landscape/tlm3d.html#links). High vegetation is also derived from the classification and the calculated object height from the point cloud.
Outliers and unrealistic snow depth values are defined as negative snow depth values and snow depths exceeding 10 m. The classification of each pixel of the corresponding orthophoto into snow-covered or snow-free is based on the application of a threshold of the NDSI or manually determined ratios of the RGB values.

An extensive accuracy assessment proves the high accuracy of the snow depth maps with a root mean square error of 0.25 m for the year 2017 and 0.15 m for the following snow depth maps.

The work is published in:

avalanches

display_name: avalanches

davos

display_name: davos

dischma

display_name: dischma

photogrammetry

display_name: photogrammetry

snow-depth-distribution

display_name: snow-depth-distribution

snow-hydrology

display_name: snow-hydrology

educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

en: Education, culture and sport

it: Istruzione, cultura e sport

envidat

fr: EnviDat: le portail de données environnementales

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

it: EnviDat: il portale dei dati ambientali

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

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

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

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

political_level: other

value: Envidat Harvester

en: Snow depth mapping by airplane photogrammetry (2017 -  ongoing)


en: radiation atmospheric-conditions wind temperature-profiles precipitation

en: Site photo 1

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

en: DATA ACCESS

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

en: STB2 CSV

media_type: text/csv

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

mimetype: text/csv

en: Site photo 2

en: Site photo 3

en: Latest data from Stillberg climate station

en: Overview plot

media_type: image/png

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

format: PNG

en: README

media_type: text/plain

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

format: TXT

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

atmospheric-conditions

display_name: atmospheric-conditions

precipitation

display_name: precipitation

radiation

display_name: radiation

temperature-profiles

display_name: temperature-profiles

wind

display_name: wind

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


maintainer: Frank Techel

en: verification avalanche-forecast avalanche-danger-level avalanche-bulletin avalanche-forecasting

en: D_QC for forecasting seasons 2001/2002 until 2019/2020.

format: XLS

en: D_QC for forecasting seasons 2020/2021 - 2022/2023.

en: Data for the 2023/2024 forecasting season. It was added on 26 Aug 2024 by F. Techel.

en:
The data set contains the re-analyzed (or quality-checked) regional avalanche danger levels (D_QC) for Switzerland.

D_QC relates to dry-snow avalanche conditions only. Measuring the avalanche danger level D is not possible; forecast, nowcast, and hindcast assessments of D are judgments by humans interpreting data. However, combining several pieces of information indicating the same D, it can be expected that it is more likely that D_QC represents the avalanche conditions well.

For the **forecasting seasons 2001/2002 until 2019/2020**, the approach to obtain D_QC is described in detail in Appendix A of [Pérez-Guillén et. al. (2022)](https://nhess.copernicus.org/articles/22/2031/2022/nhess-22-2031-2022.html).

For the **forecasting seasons 2020/2021 and later**, D_QC is derived using the following approach:
1. *Combination of forecast (D_forecast) and nowcast (D_nowcast)*: If there was only one assessment available by an observer after a day in the field for a region, and if D_forecast = D_nowcast --> D_QC = D_forecast.
2. *Combination of several nowcast assessments (D_nowcast)*: If two (or more) observers agreed (or majority opinion) in their (independent) assessments of D_nowcast after a day in the field in the same warning region. --> D_QC = D_nowcast.
3. *Hindcast analysis (D_hindcast)*: In Switzerland, avalanche forecasters re-evaluate all situations when D = 4 (high) or D = 5 (very high) were either forecast, should have been forecast, or when forecasters discussed given one of these two levels but had not given them. Generally, two forecasters assess each situation. In these cases, D_QC = D_hindcast. The hindcast analysis, only available since the forecasting season 2020/2021, replaces what was step (2) in Appendix A of [Pérez-Guillén et. al. (2022)](https://nhess.copernicus.org/articles/22/2031/2022/nhess-22-2031-2022.html).

All other cases - ties in case of (1) or (2), no new information from the warning region in question, or if no D_hindcast was available - are not considered quality-checked, and are, thus, not contained in the data set.

In addition to D_QC, the file contains information on the elevation and aspect, where D_QC likely prevails.
- The indicated elevation is the mean of the respective elevations in (1), (2), or (3). At danger level 1 (low), when no elevation is indicated in the Swiss forecast, a value of 1500 m is set.
- For the four cardinal aspects N, E, S, and W, a value of 1 means that there was agreement that D was reached in this aspect and a value of 0 means that there was agreement that D was not reached in this aspect. Intermediate values correspondingly mark disagreements in the assessments.

avalanche-bulletin

display_name: avalanche-bulletin

avalanche-danger-level

display_name: avalanche-danger-level

avalanche-forecast

display_name: avalanche-forecast

avalanche-forecasting

display_name: avalanche-forecasting

verification

display_name: verification

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

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

en: Re-analyzed regional avalanche danger levels in Switzerland


en: agro-food-trade food-preferences food-taste-similarity latent-semantic-analysis national-dishes

en: dyadic food similarity measures, pairwise similarity and dissimilarity (chord diagram)

en:
The figures show the distribution of two dyadic food tastes similarity measures on the base of
the national dishes: (i) the Manhattan distance and the (ii) latent semantic analysis. The chord diagram
shows the results for country pairs with most and less similarity on basis of the LSA-approach.

en: information on ingredients of national dishes

en: shows information of ingredients of all national dishes of 171 countries and their names

en: National dishes, migration data and data for bilateral food trade flows

en:
The data include information on national dishes, migration data and data for bilateral food
trade flows for 5 years as well as importer and exporter GDP, population, distance between
most populated cities, bilateral information on Preferential Trade Agreements, common
official primary langauge, common colonizer post-1945, colonial relationship for overall
171 countries. The final data set contains 145,350 observations (29,070 country pairs for
5 years)

en: The data described in this article were collected daily over the period 4 June 2018 to 23 August 2018 and contains information of several data sources. The database includes information on national recipes and their ingredients for 171 countries, measures for food taste similarities between all 171 countries as well as bilateral migration and agro-food trade data for 5 years. The database can be used for analyzing e.g., the relation between food preferences and international trade or food preferences and health outcomes (e.g., obesity) across countries.

agro-food-trade

display_name: agro-food-trade

food-preferences

display_name: food-preferences

food-taste-similarity

display_name: food-taste-similarity

latent-semantic-analysis

display_name: latent-semantic-analysis

national-dishes

display_name: national-dishes

en: Data of national dishes, their similarity and trade flows


maintainer: Franziska Koch

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

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

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

en: Read-me

media_type: application/pdf

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

format: PDF

mimetype: application/pdf

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

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

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

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

gps

display_name: gps

liquid-water-content

display_name: liquid-water-content

snow

display_name: snow

snow-cover

display_name: snow-cover

snow-depth

display_name: snow-depth

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


maintainer: Camille Albouy

en: teleo-primers 12s actinopterygii atlantic-ocean barcoding environmental-dna mitochondrial-dna

en: This file contains the Teleo Barcode for the Atlantic fishes collected during a French scientific survey (Evhoe) for stock assessment.

en:
Mitochondrial tree based on the 12s sequences obtained for altantic fish.
This data represent the maximum likelihood phylogenetic tree allowing to assess 1) the clustering of the different sequences generated in
this study and their closest sequences recovered through a MegaBLAST on GenBank, 2) the robustness of the clades and 3) the
phylogenetic dissimilarities through the branch length of the tree among the different sequences. This tree was built with IQtree2
using the best substitution model found by modelFinder. The robustness of the node was evaluated using 1000 ultra-fast bootstrap
(node information indicated on the right of the /) and SH-aLRT procedures (node information indicated on the left of the /), using a hillclimbing nearest neighbor interchange (NNI) search to reduce the risk of overestimating branch supports with ultra-fast Bootstrap
caused by too severe model violations.

en: This file contains the metadata associated with each scientific survey

en: This file contains the 12s mitochondrial sequences for the Atlantic fishes collected on a French scientific survey (Evhoe) for stock assessment.

en: This file contains the metadata associated with each 12 s mitochondrial sequence.

en:
The global biodiversity crisis driven by anthropogenic pressures significantly threatens marine ecosystems functioning. The rate of climate change and the impacts of anthropogenic pressures outpacing the capabilities of our observation tools, stresses the need to develop new methods to assess these rapid modifications. Environmental DNA (eDNA; DNA traces released by organisms) metabarcoding has emerged as a non-invasive method that has been widely developed over the last decade. Thanks to a large spatio-temporal coverage, high detection of rare species and its time and cost effectiveness, eDNA metabarcoding represents a promising biomonitoring tool. However, capturing fish diversity using eDNA requires a high-quality genetic reference database, which we are currently still lacking. For the South European Atlantic shelf area, we estimated that only 41% of the fish species present were recorded in the available eDNA reference databases. Improving reference databases can notably rely on opportunistic sampling enabling the reporting of sequences for new species. Therefore, the data provided here consists of barcoding 95 species of ray-finned and cartilaginous fishes over the 12S mitochondrial DNA gene. We generated 168 12S barcodes from fishes that were sampled in the Bay of Biscay (Northeast Atlantic, France) between 2017 and 2019. We also provided the “Teleo” barcode associated with a specific 12S region for each individual. In addition to the sequences, we provided for each individual the taxonomy, the details associated with the barcode (Genbank accession number, chromatograms), a photograph, as well as 5 ecomorphological measures and 11 life-history traits. These traits document several functions such as dispersion, diet, habitat use, and position in the food web. Furthermore, we provided the metadata of each sampling site (date, station, sampling hour, gear, latitude, longitude, depth) and environmental variables measured in situ (conductivity, salinity, water temperature, water density, air temperature).
This data set is highly valuable to improve the Northeast Atlantic eDNA genetic database, thus helping to better understand the effects of environmental forcing in the Bay of Biscay, a transition zone housing mixed assemblages of boreal, temperate and subtropical fish species susceptible to display variability in functional traits to adapt to changing conditions.

actinopterygii

display_name: actinopterygii

atlantic-ocean

display_name: atlantic-ocean

barcoding

display_name: barcoding

environmental-dna

display_name: environmental-dna

mitochondrial-dna

display_name: mitochondrial-dna

teleo-primers

display_name: teleo-primers

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

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

en: ATLFISHREF A 12S mitochondrial reference dataset for metabarcoding Atlantic Fishes frequently caught during scientific surveys in the Bay of Biscay


irkis-soil-moisture-measurements-davos

maintainer: Nander Wever

title_for_slug: irkis-soil-moisture-measurements-davos

en: soil-moisture meteo-station dischma-catchment davos meteorological-measurements

en: IRKIS soil moisture data (zip file)

en: Compressed archive (zip) containing soil moisture measurements, as well as meteorological measurements and interpolated meteorological time series.

en:
Meteorological and soil moisture measurements from soil moisture stations installed from October 2010 - October 2013 in the area surrounding Davos, in particular in the Dischma catchment.

There are in total 7 stations: 1202, 1203, 1204, 1205, 222, 333 and SLF2. For each of the stations, there is a:

* vwc_[stn].smet: containing the soil moisture measurements

* station_[stn].smet: in-situ measured meteorlogical parameters. Note, the quality of these measurements for stations 1202, 1203, 1204 and 1205 is very low, with data gaps. Use this data with care. For stations 222, 333 and SLF2, data quality is high and only the default cautiousness should be applied.

* interpolatedmeteo_[stn].smet contains per stations a dataset derived by interpolating from several stations in the Davos area to the stations location. This dataset was generated from the output of the Alpine3D model, of which simulations are presented in the Wever et al. (2017) manuscript.

At the soil moisture measurement sites, Decagon 10HS sensors were installed, at 10, 30, 50, 80 and 120 cm depth. Per depth 2 sensors were installed, labelled A and B in the datafiles. Note that at stations 1203, 1204 and 1205, sensors were only installed at 10, 30 and 50 cm depth.

The files follow the SMET format: https://models.slf.ch/docserver/meteoio/SMET_specifications.pdf and metadata for the stations can be found in the header of the smet files.

Please cite the Wever et al. (2017) reference when using this data in publications.

For a more detailed description, please refer to: Wever, N., Comola, F., Bavay, M., and Lehning, M.: Simulating the influence of snow surface processes on soil moisture dynamics and streamflow generation in an alpine catchment, Hydrol. Earth Syst. Sci., 21, 4053-4071, https://doi.org/10.5194/hess-21-4053-2017, 2017.

davos

display_name: davos

dischma-catchment

display_name: dischma-catchment

meteo-station

display_name: meteo-station

meteorological-measurements

display_name: meteorological-measurements

soil-moisture

display_name: soil-moisture

en: IRKIS Soil moisture measurements Davos


maintainer: Lisa Hülsmann

en: empirical-mortality-models forest-reserves inventory-data tree-growth tree-mortality

en: Calibration data

en:
A set of three consecutive inventories was used to generate records for the calibration of mortality models based on trees that were alive in the first and second inventory and either dead or alive in the third inventory.

 Meta data
Reserve: Name of the forest reserve

Plot: Permanent plot number

 Tree data
Species: Latin species name (or species group, cf. _Quercus_ spp.)

y: Status of the tree with 0 = alive and 1 = dead

dt: Length of the mortality period (years)

DBH: Diameter at breast height (mm) of the second inventory

relBAI: Annual relative basal area increment (-) calculated based on the first and the second DBH measurement as the compound annual growth rate of the trees basal area

 Stand data
_All stand variables were calculated for the second inventory._

mDBH: Mean diameter at breast height (mm)

iqrDBH: Interquartile range of diameter at breast height (mm)

BA: Basal area per hectare (m2 ha-1)

N: Number of trees per hectare (ha-1)

 Climate data
_Both climate variables were calculated for the period between the second and the third inventory._

P: Mean annual precipitation sum (mm)

mT: Mean annual air temperature (°C)

en:
The dataset comprises > 90 000 records from inventories in 54 strict forest reserves in [Switzerland](https://www.wsl.ch/de/wald/biodiversitaet-naturschutz-urwald/naturwaldreservate.html) and [Lower Saxony / Germany](http://naturwaelder.de/) along a considerable environmental gradient. It was used to develop parsimonious, species-specific mortality models for 18 European tree species based on tree size and growth as well as additional covariates on stand structure and climate.

 Inventory data
Measurements had been conducted repeatedly on up to 14 permanent plots per reserve for up to 60 years with re-measurement intervals of 4 - 27 years. The permanent plots vary in size between 0.03 and 3.47 ha. The inventories provide diameter measurements at breast height (DBH) and information on the species and status (alive or dead) of trees with DBH ≥ 4 cm for Switzerland and ≥ 7 cm for Germany.

 Data selection
We excluded three permanent plots where at least 80 % of the trees died during an interval of 10 years, and mortality could be clearly assigned to a disturbance agent. Mortality in the remaining stands was rather low, with a mean annual mortality rate of 1.5 % and strong variation between plots from 0 to 6.5 % (assessed for trees of all species with DBH ≥ 7 cm).
We only used data from permanent plots with at least 20 trees per species to obtain reliable plot-level mortality rates even for species with low mortality rates (about 5 % during 10 years), and selected tree species occurring on at least 10 plots to cover sufficient ecological gradients. This led to a dataset of 197 permanent plots and 18 tree or shrub species: _Abies alba_ Mill., _Acer campestre_ L., _Acer pseudoplatanus_ L., _Alnus incana_ Moench., _Betula pendula_ Roth, _Carpinus betulus_ L., _Cornus mas_ L., _Corylus avellana_ L., _Fagus sylvatica_ L., _Fraxinus excelsior_ L., _Picea abies_ (L.) Karst, _Pinus mugo_ Turra, _Pinus sylvestris_ L., _Quercus pubescens_ Willd., _Quercus_ spp. (_Q. petraea_ Liebl. and _Q. robur_ L.; not properly differentiated in the Swiss inventories), _Sorbus aria_ Crantz, _Tilia cordata_ Mill. and _Ulmus glabra_ Huds..

 Predictors of tree mortality
We considered tree size and growth as key indicators for mortality risk. Radial stem growth between the first and second inventory and DBH at the second inventory were used to predict tree status (alive or dead) at the third inventory. To this end, the annual relative basal area increment (relBAI) was calculated as the compound annual growth rate of the trees basal area. Additional covariates on stand structure and climate comprise mean annual precipitation sum (P), mean annual air temperature (mT), the mean and the interquartile range of DBH (mDBH, iqrDBH), basal area (BA) and the number of trees (N) per hectare.

 Further information
For further information, refer to Hülsmann _et al_. (in press) How to kill a tree – Empirical mortality models for eighteen species and their performance in a dynamic forest model. _Ecological Applications_.

empirical-mortality-models

display_name: empirical-mortality-models

forest-reserves

display_name: forest-reserves

inventory-data

display_name: inventory-data

tree-growth

display_name: tree-growth

tree-mortality

display_name: tree-mortality

en: Calibration data for empirical mortality models of 18 European tree species


maintainer: Paraskevi Georgakaki

en: blowing-snow ice-crystal-number-concentration wrf liquid-water-content jungfraujoch swiss-alps ice-water-content secondary-ice-production

en: Observational data

en:
The .zip file contains 6 .csv files including all microphysical measurements taken at the Jungfraujoch station during the two periods of interest:

* 25-28 January 2014 : northwesterly-winds (NW)
* 29 January - 1 February 2014 : southeasterly-winds (SE)

The total Ice Crystal Number Concentration (ICNC; reported in L⁻¹) is measured by the two-dimensional stereo hydrometeor spectrometer (2D-S; Lawson et al., 2006) over the size range 10-1280 μm. The total ice water content (IWC; reported in gm⁻³) is also derived by the 2D-S data using the Brown and Francis (1995) mass-diameter relationship. Finally, the quantification of the liquid water content (LWC; reported in gm⁻³) is based on the liquid droplet size distribution data derived from a DMT cloud droplet probe (CDP; Lance et al., 2010) over the size range 2-50 μm. The frequency of the measurements in the .csv files is 30 min, to match the output frequency of the model. Datetime is also reported in the files (DD/MM/YYYY h:mm) in UTC.

Acknowledgment: Collection and pre-processing of the microphysical measurements has been performed by Gary Lloyd (gary.lloyd@manchester.ac.uk). More details about the instrumentation during the CLACE2014 campaign can be found in Lloyd et al. (2015).

en: WRF outputs

en:
The .zip file contains all the NetCDF outputs produced by the mesoscale Weather Research and Forecasting (WRF) model (version: 4.0.1). Two case studies were simulated in this study, between 25-28 January 2014 (00:00 UTC) and 29 January - 1 February 2014 (00:00 UTC), respectively. The former is denoted as "NW" and the latter as "SE", owing to the prevailing wind conditions at the Jungfraujoch (JFJ) station.

The outputs come from the innermost domain of the simulations with a spatial resolution of 1 km and are extracted from the nearest to JFJ model grid point (46.55°N 7.98°E). The dimensions of each model variable is [145,100], which corresponds to time and height, respectively. The frequency of the outputs is 30 min. Note that the first 24 hours of each simulation (i.e., the first 48 outputs) were considered spin up time.

The following sets of sensitivity simulations were presented in this study:

* CNTRL_NW.nc, CNTRL_SE.nc : Sensitivity simulations performed with the default version of WRF
* DS_PHILL_NW.nc, DS_PHILL_SE.nc : Sensitivity simulations including a description of the droplet shattering process following Phillips et al. (2018)
* DS_SULL_NW.nc, DS_SULL_SE.nc : Sensitivity simulations including a description of the droplet shattering process following Sullivan et al. (2018)
* PHILL_NW.nc, PHILL_SE.nc : Sensitivity simulations including a description of the ice-ice collisional break-up process following Phillips et al. (2017)
* TAKAH_NW.nc, TAKAH_SE.nc : Sensitivity simulations including a description of the ice-ice collisional break-up process following Sullivan et al. (2018) based on Takahashi et al. (1995)
* TAKAHrim_NW.nc, TAKAHrim_SE.nc : Same set-up as before but applied only to collisions between rimed ice particles
* BIPS_Xk0_DY_NW.nc, BIPS_Xk0_DY_SE.nc : Sensitivity simulations including a source of Xk0 (either 10.0 or 100.0 L⁻¹) ice crystals with sizes of DY (either 10 or 100 μm) in the first atmospheric level of the model
* BIPS100_PHILL_NW.nc, BIPS100_PHILL_SE.nc : Sensitivity simulations where the combined effect of blowing snow and ice-ice collisional break-up is examined

en:
This repository contains all WRF model outputs and observational data sets used for the paper:
Georgakaki, P., Sotiropoulou, G., Vignon, É., Billault-Roux, A.-C., Berne, A., and Nenes, A.: Secondary ice production processes in wintertime alpine mixed-phase clouds, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2021-760, in review, 2021.

blowing-snow

display_name: blowing-snow

ice-crystal-number-concentration

display_name: ice-crystal-number-concentration

ice-water-content

display_name: ice-water-content

jungfraujoch

display_name: jungfraujoch

liquid-water-content

display_name: liquid-water-content

secondary-ice-production

display_name: secondary-ice-production

swiss-alps

display_name: swiss-alps

wrf

display_name: wrf

en: Data for the publication "Secondary ice production processes in wintertime alpine mixed-phase clouds"


maintainer: James W. Kirchner

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

en: Data Set Documentation

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

en: Weekly stable water isotopes

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

mimetype: text/plain

en: 7-hourly stable water istopes

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

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

catchment

display_name: catchment

chloride

display_name: chloride

deuterium

display_name: deuterium

plynlimon

display_name: plynlimon

precipitation

display_name: precipitation

stable-water-isotopes

display_name: stable-water-isotopes

streamflow

display_name: streamflow

tracer

display_name: tracer

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

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

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