maintainer: Digital Innovation Office

title_for_slug: energiedashboard.ch: Füllstände Gasspeicher EU

de: ogd102-bfe versorgungssicherheit gasspeicher fullstand gas

fr: energiedashboard.ch: Niveaux réservoirs gaz UE

en: energiedashboard.ch: Gas storage levels EU

it: energiedashboard.ch: Livelli serbatoi di gas UE

label: Aggregated Gas Storage Inventory

fr:
Le stockage de gaz joue un rôle important dans la sécurité de l'approvisionnement en gaz en hiver, lorsque la consommation de gaz est la plus élevée. Sur une année, le gaz couvre environ 15% des besoins énergétiques de la Suisse. Environ la moitié de cette quantité est utilisée pour le chauffage des bâtiments. La Suisse est presque entièrement dépendante des importations de gaz. Seule une petite quantité de gaz (biogaz) est produite dans le pays. De même, la Suisse ne dispose pas de grandes capacités de stockage sur son territoire. Elle dépend de l'utilisation des stockages de gaz dans les pays voisins.

Le Conseil fédéral a obligé le secteur gazier à garantir des capacités de stockage dans les pays voisins (15% de la consommation annuelle suisse) et des options pour des livraisons de gaz supplémentaires pour l'hiver 2022/23. Fin août 2022, le secteur gazier a annoncé que cette tâche avait été accomplie avec succès.

Les niveaux de remplissage des stockages de gaz en Allemagne, en France, en Italie et en Autriche, ainsi que dans l'ensemble de l'UE, sont indiqués en pourcentage et en térawattheures (TWh). Les niveaux de stockage sont basés sur le pouvoir calorifique supérieur. Les niveaux de remplissage indiquent l'état des stockages de gaz de la veille jusqu'à 23 heures. Les données proviennent de sources publiques de l'UE.

La tendance indique l'évolution du niveau de remplissage. Elle est orientée à la hausse lorsque le niveau de remplissage a augmenté par rapport à la moyenne des 10 derniers jours.

Disclaimer Data

Les données proviennent de Gas Infrastructure Europe (GIE) à partir de l'inventaire agrégé des stockages de gaz (AGSI). Toutes les données sont fournies par les contributeurs sur une base volontaire et gratuitement. Les données fournies par AGSI sont uniquement à titre d'information. Des efforts raisonnables sont déployés pour garantir l'exactitude, l'exhaustivité et l'actualité des informations fournies ici. Les données ont été soigneusement vérifiées, sont régulièrement mises à jour et peuvent être modifiées, supprimées ou complétées sans préavis.

Les données relatives à la part suisse des volumes présents dans les stockages de gaz ne sont pas disponibles.

en:
Gas storage facilities play an important role in the security of gas supply in winter, when most gas is consumed. Over the year, Switzerland covers around 15% of its energy needs with gas. About half of this is consumed for heating buildings. Switzerland is almost entirely dependent on imports for gas. Only a little gas (biogas) is produced domestically. Likewise, Switzerland has no large domestic storage facilities of its own. It is dependent on the use of gas storage facilities in neighbouring countries.

The Federal Council has obliged the gas industry to secure storage capacities in neighbouring countries (15% of Switzerland's annual consumption) and options for additional gas supplies for the winter of 2022/23. At the end of August 2022, the gas industry reported the successful completion of this task.

The gas storage levels in Germany, France, Italy and Austria, as well as the entire EU, are given in percentages and in terawatt hours (TWh). The storage levels are based on the upper calorific value. The levels show the state of the gas storage facilities of the previous day until 11 pm. The data come from EU public sources.

The trend shows the development of the filling level. It points upwards when the level has increased compared to the average of the last 10 days.

Disclaimer Data

The data come from Gas Infrastructure Europe (GIE) from the Aggregated Gas Storage Inventory (AGSI). All data is provided by contributors on a voluntary basis and free of charge. The data provided by AGSI is for information purposes only. Reasonable efforts are made to ensure the accuracy, completeness and timeliness of the information provided herein. The data have been carefully checked, are regularly updated and may be changed, removed or supplemented without prior notice.

Data on the Swiss shares of the volumes available in the gas storage facilities are not available.

de:
Gasspeicher spielen eine wichtige Rolle für die Versorgungssicherheit mit Gas im Winter, wenn am meisten Gas verbraucht wird. Über das Jahr gesehen deckt die Schweiz rund 15% ihres Energiebedarfs mit Gas. Rund die Hälfte davon wird für die Beheizung von Gebäuden verbraucht. Die Schweiz ist beim Gas beinahe vollständig von Importen abhängig. Nur wenig Gas (Biogas) wird im Inland produziert. Ebenso verfügt die Schweiz über keine grossen eigenen Speicher im Inland. Sie ist auf die Nutzung der Gasspeicher in den Nachbarländern angewiesen.

Der Bundesrat hat die Gasbranche verpflichtet, für den Winter 2022/23 Speicherkapazitäten in den Nachbarländern (15% des schweizerischen Jahresverbrauch) und Optionen für zusätzliche Gaslieferungen zu sichern. Ende August 2022 meldete die Gasbranche den erfolgreichen Vollzug dieser Aufgabe.

Die Füllstände der Gasspeicher in Deutschland, Frankreich, Italien und Österreich sowie der gesamten EU sind in Prozent und in Terawattstunden (TWh) angegeben. Die Speicherstände basieren auf dem oberen Heizwert. Die Füllstände zeigen den Zustand der Gasspeicher des Vortags bis 23 Uhr. Die Daten stammen aus öffentlichen Quellen der EU.

Der Trend zeigt die Entwicklung des Füllstandes an. Er zeigt nach oben, wenn der Füllstand verglichen zum Durchschnitt der letzten 10 Tagen zugenommen hat.

Disclaimer Daten

Die Daten stammen von Gas Infrastructure Europe (GIE) aus dem Aggregated Gas Storage Inventory (AGSI). Alle Daten werden von den Mitwirkenden auf freiwilliger Basis und kostenlos zur Verfügung gestellt. Die von AGSI bereitgestellten Daten dienen nur zu Informationszwecken. Es werden angemessene Anstrengungen unternommen, um die Richtigkeit, Vollständigkeit und Aktualität der hier bereitgestellten Informationen sicherzustellen. Die Daten wurden sorgfältig geprüft, werden regelmässig aktualisiert und können ohne vorherige Ankündigung geändert, entfernt oder ergänzt werden.

Daten zu den Schweizer Anteilen der in den Gasspeichern vorhandenen Mengen sind nicht verfügbar.

it:
Gli impianti di stoccaggio del gas svolgono un ruolo importante nella sicurezza della fornitura di gas in inverno, quando si consuma la maggior parte del gas. Nel corso dell'anno, la Svizzera copre circa il 15% del suo fabbisogno energetico con il gas. Circa la metà viene consumata per il riscaldamento degli edifici. La Svizzera dipende quasi interamente dalle importazioni di gas. Solo un po' di gas (biogas) viene prodotto a livello nazionale. Allo stesso modo, la Svizzera non dispone di grandi strutture di stoccaggio nazionali. Il Consiglio federale ha obbligato l'industria del gas a garantire capacità di stoccaggio nei Paesi limitrofi (15% del consumo annuale della Svizzera) e opzioni per ulteriori forniture di gas per l'inverno 2022/23. Alla fine di agosto 2022, l'industria del gas ha riferito di aver completato con successo questo compito.

I livelli di stoccaggio del gas in Germania, Francia, Italia e Austria, così come nell'intera UE, sono indicati in percentuale e in terawattora (TWh). I livelli di stoccaggio si basano sul potere calorifico superiore. I livelli mostrano lo stato degli impianti di stoccaggio del gas del giorno precedente fino alle 23.00. I dati provengono da fonti pubbliche dell'UE.

Il trend mostra lo sviluppo del livello di riempimento. Punta verso l'alto quando il livello è aumentato rispetto alla media degli ultimi 10 giorni.

Dati disclaimer

I dati provengono da Gas Infrastructure Europe (GIE) dall'Aggregated Gas Storage Inventory (AGSI). Tutti i dati sono forniti dai collaboratori su base volontaria e gratuita. I dati forniti da AGSI sono solo a scopo informativo. Vengono compiuti sforzi ragionevoli per garantire l'accuratezza, la completezza e la tempestività delle informazioni qui fornite. I dati sono stati accuratamente controllati, sono regolarmente aggiornati e possono essere modificati, rimossi o integrati senza preavviso.

I dati sulle quote svizzere dei volumi disponibili negli impianti di stoccaggio del gas non sono disponibili.

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

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: EnviDat Support

en: backward-trajectories aerosol clouds raclets ice-nucleation

state: active

type: dataset

media_type: text/csv

format: CSV

mimetype: text/csv

en: This dataset contains number concentrations of ice-nucleating particles active at -15 °C observed at Weissfluhjoch during February and March 2019, as well as complementary data (measured aerosol number concentrations and modelled total precipitation along air mass trajectories). This data formed the basis of our paper with the title “Towards parameterising atmospheric concentrations of ice-nucleating particles active at moderate supercooling”.

aerosol

display_name: aerosol

backward-trajectories

display_name: backward-trajectories

clouds

display_name: clouds

ice-nucleation

display_name: ice-nucleation

raclets

display_name: raclets

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

wsl

capacity: public

type: organization

approval_status: approved

key: guid

key: uri

value: Envidat Harvester

en: Ice nucleating particle concentrations active at -15 °C at Weissfluhjoch


ladestationen-fuer-elektroautos

maintainer: Bundesamt für Energie

title_for_slug: Ladestationen für Elektroautos

author: Bundesamt für Energie

label: Technical documentation

label: API How-to and examples

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

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

format: JSON

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

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

tran

fr: Transports

de: Verkehr

en: Transport

it: Trasporti

name: Bundesamt für Energie & Betreibende von Ladeinfrastruktur


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

en: Variable description

en: Detailed description of the forest and environmental variables

format: XLS

en: Community matrix (saproxylic beetles)

en: Abundances of saproxylic beetle species for each branch bundle

en: Forest and environmental variables

en: Data on the branch bundle, forest and environmental variables

en: Community matrix (all beetles)

en: Abundances of all beetle species for each branch bundle

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

biodiversity

display_name: biodiversity

colonisation

display_name: colonisation

conservation

display_name: conservation

dead-wood

display_name: dead-wood

forest-management

display_name: forest-management

habitat-availability

display_name: habitat-availability

habitat-heterogeneity

display_name: habitat-heterogeneity

saproxylic-beetles

display_name: saproxylic-beetles

sloss

display_name: sloss

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


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

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

de: Energie

en: Energy

gove

en: Government and public sector

econ

en: Economy and finance

bundesamt-fur-energie-bfe

en: Swiss Federal Office of Energy SFOE

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).


en: snowdrift snowpack source-code snow-modelling avalanche

media_type: application/zip

format: ZIP

media_type: text/plain

format: TXT

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

avalanche

display_name: avalanche

snow-modelling

display_name: snow-modelling

snowdrift

display_name: snowdrift

snowpack

display_name: snowpack

source-code

display_name: source-code

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: FSM2trans code


maintainer: Dominique Weber

en: management grassland land-use remote-sensing use-intensity landsat mowing sentinel-2

en: Preview number of grassland management events 2020

media_type: image/png

en: Spatial distribution of the number of management events for Switzerland and for three zoomed-in regions (a, b, c). The three zoomed-in regions show different grassland-use intensities, which are reflected in the distribution of management frequency (Weber et al., 2023; IN REVIEW)

format: PNG

en: Grassland-use intensity map 2018

en: Raster stack with information on the number and timing of grassland-management events (i.e. mowing, grazing) at a spatial resolution of 10 m × 10 m for the whole of Switzerland for 2018. See readme file for more details.

format: GeoTIFF

en: Webcam-based reference data

en: Webcam-based reference data from 2020 and 2021 (see readme).

format: SERVICE

en: Grassland-use intensity map 2021

en: Raster stack with information on the number and timing of grassland-management events (i.e. mowing, grazing) at a spatial resolution of 10 m × 10 m for the whole of Switzerland for 2021. See readme file for more details.

en: Readme

en: Metadata and description of the maps and webcam-based reference data.

en: Preview time of 1st grassland management event 2020

en: Spatial distribution of the timing (day of year; DOY) of the first management event for Switzerland and for three zoomed-in regions (a, b, c). The three zoomed-in regions show different grassland-use intensities, which are reflected in the timing of the first event of the year (Weber et al., 2023; IN REVIEW)

en: Grassland-use intensity map 2020

en: Raster stack with information on the number and timing of grassland-management events (i.e. mowing, grazing) at a spatial resolution of 10 m × 10 m for the whole of Switzerland for 2020. See readme file for more details.

en: Grassland-use intensity map 2019

en: Raster stack with information on the number and timing of grassland-management events (i.e. mowing, grazing) at a spatial resolution of 10 m × 10 m for the whole of Switzerland for 2019. See readme file for more details.

en:
A rule-based algorithm [(Schwieder et al., 2022)](https://doi.org/10.1016/j.rse.2021.112795) was used to produce annual maps for 2018–2021 of grassland-management events, i.e. mowing and/or grazing, for Switzerland using Sentinel-2 and Landsat 8 satellite time series. All satellite images were processed with the [FORCE](https://force-eo.readthedocs.io) framework.

The resulting maps provide information on the number and timing of grassland-management events at a spatial resolution of 10 m × 10 m for the whole of Switzerland. For the final maps, permanent grasslands were masked using a variety of land-use layers, according to [Huber et al. (2022)](https://doi.org/10.1002/rse2.298) but replacing the crop mask with the agricultural-use data from the cantons.

We assessed the detection of management events based on independent reference data, which we acquired from daily time series of publicly available webcams that are widely distributed across Switzerland. We further tested the ecological relevance of the generated intensity measures in relation to nationwide biodiversity data (see [Weber et al., 2023](https://doi.org/10.1002/rse2.372)).

The webcam-based reference data used for verification was subsequently added on 14.02.2024.

grassland

display_name: grassland

land-use

display_name: land-use

landsat

display_name: landsat

management

display_name: management

mowing

display_name: mowing

remote-sensing

display_name: remote-sensing

use-intensity

display_name: use-intensity

en: Grassland-use intensity maps for Switzerland


maintainer: Frank Hagedorn

en: seasons nutrient-fluxes forest-topsoil nitrogen beech dissolved-organic-phosphorus zero-tension-lysimeters phosphorus soil-temperature fertilization

en:
Data on dissolved organic and inorganic phosphorus and nitrogen concentrations in leachates and their corresponding
fluxes from the litter layer, the Oe/Oa horizon, and the A horizon of two German beech forest sites.
Leachate samples were taken in April 2018, July 2018, October 2018, Feb./Mar. 2019, and July 2019
with zero-tension lysimeters after artificial irrigation. Soil samples were taken in July 2019.
For more details please refer to the publication.

beech

display_name: beech

dissolved-organic-phosphorus

display_name: dissolved-organic-phosphorus

fertilization

display_name: fertilization

forest-topsoil

display_name: forest-topsoil

nitrogen

display_name: nitrogen

nutrient-fluxes

display_name: nutrient-fluxes

phosphorus

display_name: phosphorus

seasons

display_name: seasons

soil-temperature

display_name: soil-temperature

zero-tension-lysimeters

display_name: zero-tension-lysimeters

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: Phosphorus and nitrogen leaching from beech forest soils


maintainer: Bundesamt für Energie BFE

title_for_slug: Schweizerische Elektrizitätsstatistik: Schweizerische Elektrizitätsbilanz - Monatswerte

fr: ogd35-bfe electricite production importation exportation consommation

de: ogd35-bfe elektrizitat produktion import export verbrauch

en: ogd35-bfe electricity production import export

it: ogd35-bfe elettricita produzione importazione esportazione consumo

fr: Statistique suisse de l'électricité: bilan mensuel suisse de l'électricité

it: Statistica svizzera dell'elettricità: bilancio svizzero dell'elettricità - valori mensili

author: Bundesamt für Energie BFE

fr: Cette statistique recense sur une base mensuelle la production, l'importation, l'exportation et la consommation d'électricité en Suisse. Elle présente la production des centrales hydrauliques, des centrales nucléaires, des centrales thermiques classiques et renouvelables. Elle indique la consommation des installations de pompage d'accumulation et les pertes en ligne. Elle est établie dans le cadre de la Statistique de l'électricité, qui fait partie de la statistique publique de la Suisse (base légale: LSF).

de: Die Schweizerische Elektrizitätsbilanz - Monatswerte gibt Auskunft über Produktion, Import / Export und Verbrauch von Elektrizität in der Schweiz auf monatlicher Basis. Bei der Produktion werden Wasserkraftwerke, Kernkraftwerke, konventionell-thermische und erneuerbare Kraftwerke unterschieden. Der Verbrauch der Speicherpumpen und die Leitungsverluste werden ausgewiesen. Die monatliche Elektrizitätsbilanz wird im Rahmen der Elektrizitätsstatistik erstellt, welche Teil der öffentlichen Statistik der Schweiz ist (gesetzliche Grundlage: BStatG).

ener

en: Energy

gove

de: Regierung und öffentlicher Sektor

en: Government and public sector

econ

de: Wirtschaft und Finanzen

en: Economy and finance

bundesamt-fur-energie-bfe

de: Bundesamt für Energie BFE

en: Swiss Federal Office of Energy SFOE

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).


maintainer: Albrecht von Boetticher

en: finite-volumes shallow-landslide debris-flow barrier-impact-simulation dberisintermixing interfoam hangmuren murgang natural-hazard

en: debrisInterMixing for OF-Version 6

mimetype: application/zip

media_type: application/pdf

en: These are the installation instructions for debrisInterMixing4

format: PDF

mimetype: application/pdf

en: Installation Instructions for debrisInterMixing-6

en: These are the installation instructions for debrisInterMixing6

en:
Please install OpenFOAM 7 on a UBUNTU Linux system following the instructions given in readme_debrisintermixing-7.pdf
After a successful OpenFOAM installation, copy the applications-Folder from putMyContent-.zip into the OpenFOAM-User directory and follow the instructions in readme_debrisintermixing-7.pdf to install debrisInterMixing 7.

If you use UBUNTU 24-04 you might have troubles getting openmpi, I attached a modifiesd instruction installtionOF7Ubuntu20.04.5LTS.txt for a workaround.

en:
This version of debrisInterMixing is based on OpenFOAM Version 4.x and was tested on Ubuntu 18.04.1 LTS.
Please follow the instructions given in ReadMe_debrisInterMixing4.pdf for installation.

en:
Here debrisInterMixing until version 7 is provided for download. Further versions as well as installation instructions and tutorials and discussion forums (mostly in german) can be acessed at murgang.org (choose "als Gast anmelden" and then scroll to the bottom). The first OpenFoam-compatible Version 2.3.x are available as supplement to v. Boetticher, A., Turowski, J. M., McArdell,W. B., Rickenmann, D., Hürlimann, M., Scheidl, C., and Kirchner, J. W.: DebrisInterMixing-2.3: A Finite Volume solver for three dimensional debris flow simulations based on two calibration parameters. Part two: model validation with experiments. Geoscientific Model Development, 10, 11: 3963-3978. doi: 10.5194/gmd-10-3963-2017.
DebrisInterMixing is a Volume-of-Fluid based Finite Volume code that accounts for shear-thinning sensitive shares of fine sediment suspension together with pressure-sensitive components of the gravel grains within debris flow mixtures. All model properties can be derived from a material sample except for a grid-sensitive calibration parameter.
For more information, please contact albrecht.vonboetticher@wasserbau.ch.
For a recent summary on applications see the DFHM8 contribution at https://www.e3s-conferences.org/articles/e3sconf/abs/2023/52/e3sconf_dfhm82023_02024/e3sconf_dfhm82023_02024.html - DOI: https://doi.org/10.1051/e3sconf/202341502024
UPDATE: DebrisInterMixing for OpenFOAM-7 is available, please contact albrecht.vonboetticher@wasserbau.ch. DebrisInterMixing with OpenFOAM-10 is ready but not yet validated.

barrier-impact-simulation

display_name: barrier-impact-simulation

dberisintermixing

display_name: dberisintermixing

debris-flow

display_name: debris-flow

finite-volumes

display_name: finite-volumes

hangmuren

display_name: hangmuren

interfoam

display_name: interfoam

murgang

display_name: murgang

natural-hazard

display_name: natural-hazard

shallow-landslide

display_name: shallow-landslide

educ

de: Bildung, Kultur und Sport

envidat

de: EnviDat: das Umwelt-Datenportal

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.

en: Three-dimensional debris flow simulation tool debrisInterMixing


automatic-detection-of-avalanches

maintainer: Matthias Heck

title_for_slug: automatic-detection-of-avalanches

en: snow avalanche-activity hidden-markov-model monitoring seismic

en: Results and Scripts

en: This zip package contains the classification results, coherence results, reference data set, python scripts used for the classification and the start and end times for the pre-processed continuous seismic data. A further readme file is also include for more detailed information.

en: This dataset contains the results obtained by an automatic classification using hidden Markov models of a continuous seismic dataset. To avoid long computational times, we reduced the seismic data using pre-processing step. The start and end times of the windows used for the classification are also included in this dataset. Furthermore, an avalanche reference data set is included and the python scripts used to perform the processing steps and the classification.

avalanche-activity

display_name: avalanche-activity

hidden-markov-model

display_name: hidden-markov-model

monitoring

display_name: monitoring

seismic

display_name: seismic

snow

display_name: snow

educ

en: Education, culture and sport

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: Automatic detection of avalanches


maintainer: Michael Lehning

en: snow-hydrology alpine3d-simulations snow alpine3d alpine-precipitation snow-cover snow-distribution

en: ADS datasets and simulation inputs

en: The file contains the ADS datasets of snow depth and input data used for simulations.

en:
Dataset (Model input, snow distribution and validation) for the precipitation scaling paper, which should be cited along with the data set citation.

This data is useful for distributed hydrological modelling or other tasks that involve the study of snow distribution and precipitation in the high Alpine.

The format of the data is for Alpine3D (models.slf.ch) model runs but other models could be used, too.

Please cite:

_Vögeli, C., Lehning, M., Wever, N., Bavay M., 2016: Scaling Precipitation Input to Spatially Distributed Hydrological Models by Measured Snow Distribution., Front. Earth Sci. 4: 108. doi: 10.3389/feart.2016.00108._

Dataset is provided as a single zip file.
The archive contains two directories, the valuable distributed snow depth maps for the landscape Davos and the simulation input.
The archive also contains the file: "ReadMeMetadataDataSetPrecipitationScaling" which explains the data structure.

alpine-precipitation

display_name: alpine-precipitation

snow-cover

display_name: snow-cover

snow-distribution

display_name: snow-distribution

snow-hydrology

display_name: snow-hydrology

en: Precipitation Scaling Data Set (Vögeli et al., Frontiers)


en: sentinel-2 switzerland remote-sensing raster-processing force

media_type: image/tiff

en: An example of the index EVI for one of the generated 30 by 30 km tiles located around the city of Zürich. The values are multiplied by 10.000. The date of the image is 24.07.2018.

format: TIFF

en:
We processed Sentinel-2 images from 2017 to 2023 for Switzerland with the Software FORCE (Frantz 2019). The respective parameter files can be found here: [Github](https://github.com/TLKoch/Sentinel-2_CH). All the images consist of several TB and therefore, access will be granted upon request.
The available bands (in spatial reference system EPSG 3035) are the following:
*Red, Green, Blue, NIR, Red-Edge-1, Red-Edge-2, Red-Edge-3, SWIR-1, SWIR-2*
The available indices (in spatial reference system EPSG 3035) are the following:
*CCI, CIRE, NDWI/NDMI, NDVI, EVI*
Further indices might be provided upon request.

 Processing
After downloading Level 1 data for the 14 Sentinel-2 tiles covering Switzerland (T31TGN, T32TLT, T32TMT, T32UMU, T32TNT, T32TPT, T31TGM, T32TLS, T32TMS, T32TNS, T32TPS, T32TLR, T32TMR, T32TNR) with an estimated cloud cover of less than 80 \%, we processed the data further with FORCE v. 3.7.8-12.
FORCE was used for radiometric correction, including atmospheric and topographic corrections using the digital elevation model from Copernicus Land Monitoring Service (EU-DEM v. 1.1), with a 25 m spatial resolution, a bidirectional reflectance distribution function (BRDF) correction, and an adjacency effect correction. For cloud masking, the improved Fmask algorithm with buffers of 300 m for clouds, 90 m for shadows, and 30 m for snow were used (Frantz et al. 2018; Zhu et al. 2015). All bands were resampled using cubic convolution to 10 m spatial resolution. Shadows, low and poor illumination as well as saturation were masked out. The co-registration of all images was made with monthly composites of near-infrared Landsat Collection 2 images from 2014 to 2021 (Rengarajan et al. 2020;Rufin et al. 2021). With this the geometric consistency improved. The processed images are available in tiles of 30 by 30 km.

 Example images
Uploaded is an example of the index EVI for one of the generated 30 by 30 km tiles located around the city of Zürich. The values are multiplied by 10.000. The date of the image is 24.07.2018.

force

display_name: force

raster-processing

display_name: raster-processing

remote-sensing

display_name: remote-sensing

switzerland

display_name: switzerland

en: Sentinel-2 imagery of Switzerland


maintainer: Analysen und Perspektiven

title_for_slug: Monatliche Heizgradtage in der Schweiz (gewichtet)

de: energieverbrauch ogd105-bfe energie witterung temperatur

fr: Degrés-jours de chauffage mensuels en Suisse (pondérés)

fr: Les degrés-jours de chauffage correspondent à la somme des écarts quotidiens entre la température extérieure moyenne et une température ambiante de 20°C, et ce pour les jours où la température extérieure moyenne est égale ou inférieure à 12°C. L'expérience montre qu'il faut chauffer en moyenne à partir d'une température extérieure de 12 °C pour maintenir une température ambiante de 20°C. Les degrés-jours de chauffage sont calculés pour l'ensemble de la Suisse en pondérant les valeurs mesurées par 53 stations météorologiques par la population résidant dans leur zone respective. Depuis 2000, la pondération est effectuée selon le recensement de la population 2000.

de: Die Heizgradtage ergeben sich aus der Summe der täglichen Abweichungen der mittleren Aussentemperatur von einer Raumtemperatur von 20°C, und zwar an jenen Tagen, an denen die mittlere Aussentemperatur 12 °C oder weniger beträgt. Dabei geht man von der Erfahrung aus, dass durchschnittlich ab einer Aussentemperatur von 12 °C geheizt werden muss, um eine Raumtemperatur von 20°C aufrechtzuerhalten. Die Heizgradtage werden für die gesamte Schweiz berechnet, indem Messwerte von 53 meteorologischen Stationen mit der jeweils in ihrem Bereich lebenden Wohnbevölkerung gewichtet werden. Seit 2000 wird die Gewichtung gemäss Volkszählung 2000 vorgenommen.

energie

display_name: energie

energieverbrauch

display_name: energieverbrauch

temperatur

display_name: temperatur

witterung

display_name: witterung

ener

fr: Énergie

en: Energy

it: Energia

gove

fr: Gouvernement et secteur public

en: Government and public sector

it: Governo e settore pubblico

envi

en: Environment

bundesamt-fur-energie-bfe

en: Swiss Federal Office of Energy SFOE

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).


figures-perspective-urban-beekeeping

title_for_slug: figures-perspective-urban-beekeeping

en: wildbees urban-beekeeping urban-ecology hymenoptera diversity-distributions insects

en: Data rank-abundance distribution urban bees

en: Outdated, use the new resource

en: Coordinates studied cities

en: Coordinates (LatLon format) of the cities where data from urban bee ecology studies was used.

en: R script for the figures V2

en: R script for the figures

format: OCTET

en: NDVI values within 3 buffers  in hives in Zurich

en:
The dataset contains the average NDVI values around beehives in Zurich at three spatial scales (250, 500 and 1000 m). It contains 3 columns_
- buffer: indicating the spatial scale
- ID: hive ID (annonymised)
- mean.NDVI: mean NDVI value

en: Distribution beehives among beekeepers

en: The dataset contains the number of beehives per registered beekeeper ID (annonymised) in four Swiss cities (Bern, Lausanne, Geneve, Zurich) and Paris.

en: Local overheating values within 3 buffers in hives in Zurich

en:
The dataset contains the average overheating values around beehives in Zurich at three spatial scales (250, 500 and 1000 m). It contains 4 columns:
- buffer: indicating the spatial scale
-ID: hive ID (annonymised)
- mean.overwarming: mean overheating value, expressed in degrees Kelvin
-mena.overwarming.cor = transformed values do degrees Celsius

en: Proportion honeybees and wildbees

en: Outdated, use the new resource "Propotion urban honeybees and wildbees"

en: DEPRECATED. Distirbution beehives among beekeepers

en: The dataset contains the number of beehives per registered beekeeper ID (annonymised) in four Swiss cities (Bern, Lausanne, Geneve, Zurich).

en: R script for the figures V1

en: Deprecated version of the R script

en: Data growth urban beekeeping

en:
The dataset contains the data of the growth of urban beekeeping in different cities.
For each city in a given year, it contains the following:
Continent.
Country.
City: the name of the city
Year: the year when the information was collected
Area: of the city
Total N. beekeepers: when available, the estimated number of beekeepers in that city for that given year
Total N. hives: when available, the estimated number of beehives in that city for that given year
Density: the total number of hives divided by the city area
Reference: the source of the information.

en: Species-abundance data

en:
Abundance data at the species level per used dataset for the rank abundance distribution (RAD).
40 datasets used.

en: DEPRECATED. Data growth urban beekeeping

en: Proportion urban honeybees and wildbees

en:
The dataset contains the proportion of wildbees and honeybees in the different studies obtained from the literature review.
Article_ID: ID for each article
DOI
Authors
Year: publication year
Duration sampling (years): numerical
Start_sampling: numerical, date
End_sampling: numerical, date
Continent
Country
N. cities: number of cities sampled in the article. Numerical.
City
Sampling type: categorical. Levels: active (e.g., Hand-netting); passive (e.g., pantraps. trap-nests); both (combination of passive and active methods).
Sampling methodology: categorical. Levels: direct observations, hand-netting, pantraps, interception traps, vane traps.
Number sites: total number of study sites.
Abundance honeybees: number of honeybees recorded
Abundance wild bees: number of wildbees recorded
Total bees: total number of bees recorded.
Proportion honeybees: Abundance of honeybees / Total number of bees
Proportion wildbees: Abundance of wildbees / Total number of bees

en: Results literature review

en:
 The file shows the results from the literature review. Briefly, we searched papers using google scholar search engine using the following query: (“WILD BEE OR WILDBEE”)(“URBAN” OR “CITY”), and limited the time span from 2010-2023. The search query returned 200 candidate papers. In addition, we complemented the candidate papers from the literature research performed by Ferrari & Polidori (2022), adding 22 additional candidate papers. To select papers, we checked that (1) were conducted in urban areas; (2) sampled the whole bee community; (3) provided data on abundance of wildbees; (4) provided data on honeybees; and (5) provided individual abundance data of each wild bee species.
The dataset contains the following:
-Article_ID: ID for the specific article in the form "A1", "A2"..."An"
- Title: of the article
- Year: of publication
- Journal: of publication
- Publisher:
- Link: link to the publication
- DOI: when applicable
- Total abundance wild bees reported: was the total number of collected bees reported? Logical (Y/N)
- Honey bee abundance reported: was thenumber of honeybees collected reported? 	Logical (Y/N)
- Abundance per wild bee species: was the number of wildbee species sampled provided? Logical (Y/N)
- Select proportion: paper selected to calculate the proportion of honeybees and wildbees.
- Select RAD: paper selected to compute the rank-abundance distribution diagram
Comment: comments on the papers, data availability, etc.

en:
Data and code from the perspective paper "When honeybees comes to town"
The .r file provides the code to generate the figures.
In addition, this repository contains the data for the figures 1-3.
For Figure 4, part of the data is confidential, Please, refer to the contacts provided:
- For the distribution of hives in Zurich (2018): https://www.zh.ch/de/gesundheitsdirektion/veterinaeramt.html
- For the overheating map of Zurich: Prof. Dr. Eberhard Parlow / Stadt Zurich (https://www.zh.ch/de/umwelt-tiere/umweltschutz/umweltpraxis/definitionsseite/2012/68/zup068_2012_a0030_klimaanalyse-pdf.html)

diversity-distributions

display_name: diversity-distributions

hymenoptera

display_name: hymenoptera

insects

display_name: insects

urban-beekeeping

display_name: urban-beekeeping

urban-ecology

display_name: urban-ecology

wildbees

display_name: wildbees

educ

fr: Éducation, culture et sport

en: Education, culture and sport

envidat

fr: EnviDat: le portail de données environnementales

en: EnviDat: the Environmental Data Portal


maintainer: Milojevic

en: alpine-precipitation extreme-values low-flow reservoir-inflow return-periods

en: Daily Luzzone Reservoir Inflow 01-01-2000 to 31-12-2019

en: Daily total water inflow to Luzzone reservoir. Natural inflow (LUZ_inflow_raw) is back-calculated based on daily water level in reservoir (removing hydropower inputs and spills). Linear interpolation between daily values is used to bring all inflow values into positive space (LUZ_inflow_intrp).

en: R codes for Extreme Values Analysis

en: Zip file containing R codes for running extreme value analyses for high precipitation and inflow events as well as code for determining return levels of low inflow and low precipitation events

en:
 Summary

* Dataset of daily inflow to Luzzone reservoir in Ticino, Switzerland

* R scripts used to generate return levels for low reservoir inflow, low precipitation, high inflow, and extreme high precipitation based on various methods from extreme value analysis

 Data
The dataset included here is the "natural" reservoir inflow for the Luzzone reservoir.
Additional analyses were conducted on daily total precipitation of 6 meteorological stations (abbreviations: TIOLI, TIOLV, COM, VRN, VLS, ZEV). These precipitation data are freely available for teaching and research from the MeteoSwiss IDAweb portal (https://www.meteoswiss.admin.ch/services-and-publications/service/weather-and-climate-products/data-portal-for-teaching-and-research.html).

 Codes
R scripts used to determine return levels of the data set are included for both extreme high events and low events. The scripts include the following methods for calculating return levels:

* GEV (Generalized Extreme Value)

* GPD and GPDd (Generalized Pareto Distribution including declustered version)

* eGPD (extended Generalized Pareto Distribution)

* MEV (Metastatistical Extreme Value)

alpine-precipitation

display_name: alpine-precipitation

extreme-values

display_name: extreme-values

low-flow

display_name: low-flow

reservoir-inflow

display_name: reservoir-inflow

return-periods

display_name: return-periods

envidat

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

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

en: Data and Code on Extreme Inflow and Lowflow Analysis for Alpine Reservoirs


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).

ener

en: Energy

gove

en: Government and public sector

econ

fr: Économie et finances

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.

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).


en:
Attention: this data is not updated after 2022 anymore.
This dataset contains the statistics on the number of avalanche fatalities per **calendar year** in Switzerland. The data collection commences with the beginning of the year 1937. After the completion of a hydrological year, which is the standard way avalanche fatalities are summarized in Switzerland and ends on the 30th of September, the new data is appended to the existing dataset.
If you require annual statistics per hydrological year, please download the data from here: [https://www.envidat.ch/dataset/avalanche-fatalities-switzerland-1936]
The following information is contained (by column and column title):
 - year
 - number of fatalities in the backcountry (=tour)
 - number of fatalities in terrain close to ski areas (=offpiste, away from open and secured ski runs)
 - number of fatalities on transportation corridors including ski runs, roads, railway lines (=transportation.corridors)
 - number of fatalities in or around buildings or in settlements (= buildings)
 - sum (of all four categories)
The definitions for these four categories, as described in the guidelines to the avalanche accident database are:
tour:
activities include back-country ski, snowboard or snow-shoe touring
offpiste:
access from ski area, generally from the top of a skilift with short hiking distances
transportation.corridors (Techel et al., 2016):
people travelling or recreating on open or temporarily closed transportation corridors (e.g. a road user or a skier on a ski run) and people working on open or closed transportation corridors (e.g. maintenance crews on roads, professional rescue teams)
buildings (Techel et al., 2016):
people inside or just outside buildings, and workers on high alpine building sites

avalanche-accident-statistics

display_name: avalanche-accident-statistics

avalanche-fatalities

display_name: avalanche-fatalities

fatalities-in-or-around-buildings

display_name: fatalities-in-or-around-buildings

fatalities-in-settlements

display_name: fatalities-in-settlements

fatalities-in-the-backcountry

display_name: fatalities-in-the-backcountry

fatalities-on-transportation-corridors

display_name: fatalities-on-transportation-corridors

educ

en: Education, culture and sport

it: Istruzione, cultura e sport

envidat

it: EnviDat: il portale dei dati ambientali

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.

en: Number of avalanche fatalities per calendar year in Switzerland since 1937


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

label: European Power Exchange

label: European Energy Exchange - Gas

label: 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.

bundesamt-fur-energie-bfe

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).


maintainer: Ionuț Iosifescu Enescu

en: large map 10GB

mimetype: image/tiff

en: map 2GB

en: map 0.5GB

en: Bulk Data Access

en: Link to the S3 bucket where all the data resources can be downloaded in bulk

en: map 1GB

en: huge map 100GB

en: map preview 0.5MB

mimetype: image/jpeg

en: map 0.2GB

en:
The attached data are some large GIS raster files (GeoTIFFs) made with Natural Earth data. Natural Earth is a free vector and raster map data @ naturalearthdata.com. The data used for creating these large files was the "Cross Blended Hypso with Shaded Relief and Water". Data was concatenated to achieve larger and larger files. Internal pyramids were created, in order that the files can be opened easily in a GIS software such as QGIS or by a (future) GIS data visualisation module integrated in EnviDat.

Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com

gis

display_name: gis

large-files

display_name: large-files

natural-earth

display_name: natural-earth

qgis

display_name: qgis

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.

en: Large GIS raster data derived from Natural Earth Data (Cross Blended Hypso with Shaded Relief and Water)


maintainer: Marco Moretti

en: functional-diversity biodiversity switzerland climate beta-diversity elevation-gradient community-indices hymenoptera anthophila urbanization protected-areas wild-bee predictive-modelling resource-availability

en: Wild bee trait data

en: Text file containing the scores of the 8 used traits. The data originates from the European trait database (compiler: Stuart Roberts; pollinator loss module of the EU- FP6 ALARM project).

en: Variable importance, model evaluation, partial dependence plots

en: The compress file containes a set of txt files with the variable importance, the model evaluation metrics and the partial dependence plots of each of the responses used (alpha and beta taxonomic and functional diversity metrics; community weighted means of 8 functional traits)

en: Taxonomic and functional metrics in the community plots

en:
Response data used for the modeling.
Lat: latitude community plot
Lon: longitude community plot
Richness: species richness
Shannon: Shannon diversity index
FDis: functional dispersion
TOP: Trait Onion Peeling (functional richness)
TED: Trait Even Distribution (functional evenness)
LCBD_taxo: local community contributions to taxonomic beta diversity
LCBD_fun: local community contributions to functional beta diversity
ITD: community weighted means inter-tegula distance
feeding_specialization: community weighted means feeding specialization
tong_length: community weighted means tongue length
phenostart: community weighted means start of the phenology
phenoduration: community weighted means duration of the phenoloy
cleptoparasite: community weighted means cleptoparasites
belowgound: community weighted means proportion belowground
solitary: community weighted means proportion solitary

en: Elevation and waterbodies

en: Zip file containing two rasters: the digital elevation model of Switzerland and the waterbodies of Switzerland.

en: Protected areas

en: Protected areas considered, divided in three groups and rasters: protected areas sensu stricto, protected areas sensu lato and all protected areas

en: Spatial environmental predictors and responses

en:
The .zip file contains the rasters of the environmental predictors and the predicted responses:
-  **Environmental predictors.**:
  -  The raster on the climate contains the PCA axes on the CHELSA variables.
  -  The raster on resource availability contains the PCA axes on plant communities
  -  The raster on land-use contains the land-use composition at 2500 m.
  -  The raster on beekeeping intensity contains thedensity of hives within 2500 m
-  **Responses**:
- The predicted responses (alpha and beta taxonomic and functional metrics and the traits) without masking the waterbodies, used in the analyses (Diversity_stack_revised_Selected_descriptors.tif). It contains a stack of 20 responses in this order: "belowgound", "cleptoparasite","FDis", "feeding_specialization", "FEve", "FRic", "InvSimpson", "ITD","LCBD_fun" ,"LCBD_taxo","phenoduration", "phenostart", "Rao", "Richness", "Shannon", "Simpson","solitary", "TED", "tong_length", "TOP". "FEve", "FRic", "InvSimpson","Rao", "Simpson" were not included in the linked paper.
- The predicted responses (alpha and beta taxonomic and functional metrics and the traits) masking the waterbodies (masked.stack.all.diversity.tiff). It includes a stack of 15 responses (excludes "FEve", "FRic", "InvSimpson","Rao", "Simpson").

en: Deprecated-Predictors

en:
The compress file includes the rster files of the predictors used in the analyses, including the climate, resource availability, land-use and beekeeping intensity metrics.

The raster on the climate contains the PCA axes on the CHELSA variables.
The raster on resource availability contains the PCA axes on plant communities
The raster on land-use contains the land-use composition at 2500 m.
The raster on beekeeping intensity contains thedensity of hives within 2500 m

en:
Raw data supporting the paper "Countrywide wild bee taxonomic and functional diversity reveal a spatial mismatch between alpha and beta-diversity facets across multiple ecological gradients". It contains taxonomic and functional metrics in 3343 community-plots distributed across Switzerland. The calculated metrics are:
- Alpha taxonomic community metrics: species richness and Shannon diversity
- Alpha functional community metrics: Functional richness (using the Trait Onion Peeling index, TOP), functional eveness (using the Trait Even Distribution index, TED) and the functional dispersion.
- Community weighted means of 8 functional traits
- The local community contributions on the functional and taxonomic beta diversity (LCBD).

The dataset also includes the following:
- The used predictors to model the spatial distribution of the community metrics (climate PCA, vegetation PCA, land-use metrics, beekeeping intensity).
-The three types of protected areas, defined according to the protective measures.
- The model evaluation, variable importance and partial dependece data.

anthophila

display_name: anthophila

beta-diversity

display_name: beta-diversity

biodiversity

display_name: biodiversity

climate

display_name: climate

community-indices

display_name: community-indices

elevation-gradient

display_name: elevation-gradient

functional-diversity

display_name: functional-diversity

hymenoptera

display_name: hymenoptera

predictive-modelling

display_name: predictive-modelling

protected-areas

display_name: protected-areas

resource-availability

display_name: resource-availability

switzerland

display_name: switzerland

urbanization

display_name: urbanization

wild-bee

display_name: wild-bee

en: Data on wild bee taxonomic and functional diversity in Switzerland


en: avalanche snow snow-stability-evaluation avalanche-forecast snowpack

en: README

en: README file explaining data structure and content

mimetype: text/plain

en: Extracted data

en: Extracted data contain validation and results published in Richter et al. (2019).

en: Stability tests

en: Stability tests including csv-files with CT, ECT and PST experiments for each year and each field site.

en: Manually observed snow profiles

en: Manually observed snow profiles as csv-files containing depth [cm], thickness [cm], density [kg m-3], hand hardness, first grain type, second grain type, first grain size [mm], and second grain size [mm] of each layer.

en: SNOWPACK simulations

en: This dataset contains all SNOWPACK simulations, including input files, setup and output files.

en:
To validate the critical crack length as implemented in the snow cover model SNOWPACK, PST experiments were conducted for three winter seasons (2015-2017) at two field site above Davos, Switzerland. This dataset contains manually observed snow profiles and stability tests. Furthermore, corresponding SNOWPACK simulations are included.
These data were analyzed and results were published in Richter et al. (2019).

Please refer to the Readme file for further details on the data.

These data are the basis of the following publication:
Richter, B., Schweizer, J., Rotach, M. W., and van Herwijnen, A.: Validating modeled critical crack length for crack propagation in the snow cover model SNOWPACK, The Cryosphere, 13, 3353–3366, https://doi.org/10.5194/tc-13-3353-2019, 2019.

avalanche

display_name: avalanche

avalanche-forecast

display_name: avalanche-forecast

snow

display_name: snow

snow-stability-evaluation

display_name: snow-stability-evaluation

snowpack

display_name: snowpack

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: Validating and improving the critical crack length in SNOWPACK


maintainer: James W. Kirchner

en: groundwater evapotranspiration diurnal-cycle streamflow ecohydrology sap-flow snowmelt diel-cycle

en: MODIS EVI2 script

en: Google Earth Engine script for computing MODIS two-band enhanced vegetation index (EVI2) values and averaging them over subcatchments.

en: 30-minute time series

en: 30-minute hydrometeorological and ecohydrological time series.

en: MODIS NDSI script

en: Google Earth Engine script for computing MODIS normalized difference snow index (NDSI) values and averaging them over subcatchment areas.

en: Subcatchment polygons

en: Subcatchment polygons for use in the Google Earth Engine scripts.

en: Metadata

en: Column descriptions for both data files, and map coordinates for all measurement locations.

en: Daily time series

en: Daily hydrometeorological and ecohydrological time series

en:
Hydrometerological and ecohydrological time series from Sagehen Creek and Independence Creek, Sierra Nevada, USA, illustrating hydrological responses to daily cycles in snowmelt and evapotranspiration forcing.

Data include 30-minute time series of

- weather variables,

- sap flow fluxes,

- groundwater levels (in two riparian transects of shallow groundwater wells),

- and stream stages (at 12 sites spanning a 500-meter elevation gradient),

and daily time series of

- temperature, precipitation, and snow water equivalent at three nearby snow telemetry stations

- diel cycle index values for groundwater levels and stream stages,

- and MODIS normalized difference snow index (NDSI) and enhanced vegetation index (EVI2) values averaged over selected subcatchments.

Google Earth Engine scripts for extracting the MODIS data are also provided.

diel-cycle

display_name: diel-cycle

diurnal-cycle

display_name: diurnal-cycle

ecohydrology

display_name: ecohydrology

evapotranspiration

display_name: evapotranspiration

groundwater

display_name: groundwater

sap-flow

display_name: sap-flow

snowmelt

display_name: snowmelt

streamflow

display_name: streamflow

en: Daily cycles in solar flux, snowmelt, transpiration, groundwater, and streamflow at Sagehen and Independence Creeks, Sierra Nevada, USA