energie-reporter

maintainer: Christa Rohrbach

title_for_slug: Energie Reporter

label: (DE) Energie Reporter

label: (FR) Reporter Énergie

label: (IT) Reporter Energetico

fr:
L'archive __energyreporter_latest.zip__ compile les données les plus récentes concernant le progrès des communes, des cantons et de la Suisse entière, sous format CSV compressé. Il contient trois fichiers CSV:

- __energyreporter_municipality_latest.csv__: Ce fichier contient les indicateurs de Reporter Énergie pour les communes suisses.
- __energyreporter_canton_latest.csv__: Ce fichier contient les indicateurs de Reporter Énergie pour les cantons suisses.
- __energyreporter_national_latest.csv__: Ce fichier contient les indicateurs de Reporter Énergie à l'échelle nationale pour la Suisse.

Pour le calcul des indicateurs au niveau cantonal et national, il n'est pas possible de faire la moyenne des valeurs des communes, car ces valeurs reposent sur des données agrégées. Les indicateurs doivent soit être calculés directement sur la base des données sur lesquelles se base l'agrégation, soit les valeurs des communes doivent être pondérées en fonction du nombre d'objets dans une commune (p. ex. nombre de voitures). Par souci de simplicité, nous mettons à disposition dans ce téléchargement des indicateurs déjà précalculés pour tous les niveaux (commune, canton, Suisse).

Les fichiers CSV contiennent les attributs suivants:

        Attribute
        Type
        Unit
        Description

        bfs_nr
        integer

        ID officiel de la commune de l'Office fédéral de la statistique (uniquement pour les données communales)

        municipality
        text

        Nom de la commune (uniquement pour les données communales)

        bfs_municipality_type_2012_25
        text

        Type de commune selon la typologie des communes 2012 de l'Office fédéral de la statistique (OFS) (uniquement pour les données communales)

        canton
        text

        Abréviation du canton (uniquement pour les données communales et cantonales)

        energyreporter_date
        date

        État des données de l'application Reporter Energie (uniquement pour les données historisées)

        electric_car_share
        double
        decimal fraction
        Indicateur: voitures électriques

        electric_car_count
        integer

        Nombre de voitures électriques

        electric_car_share_last_change
        date

        État des données de la source de données primaire (OFROU)

        electric_car_charging_spot_count
        integer

        Nombre de bornes de recharge accessibles au public

        electric_cars_per_charging_spot
        double

        Nombre de voitures électriques par borne de recharge

        electric_car_charging_spot_last_change
        date

        Dernière modification de la source de données primaire (OFEN stations de recharge pour voitures électriques)

        solar_potential_usage
        double
        decimal fraction
        Indicateur: production d'énergie solaire

        solar_power_installed_kwp
        double
        kWp
        Puissance installée des systèmes photovoltaïques

        solar_potential_usage_last_change
        date

        Dernière modification de la source de données primaire (installations de production, potentiel solaire)

        renewable_heating_share
        double
        decimal fraction
        Indicateur: chauffage renouvelable

        renewable_heating_count
        integer

        Nombre de systèmes de chauffage renouvelables

        non_renewable_heating_count
        integer

        Nombre de systèmes de chauffage non renouvelables

        no_heating_count
        integer

        Nombre de bâtiments sans système de chauffage

        renewable_heating_share_coverage
        double
        decimal fraction
        Couverture des données de chauffage pour l'estimation de la qualité de l'indicateur Chauffage renouvelable

        renewable_heating_share_last_change
        date

        Dernière modification de la source de données primaire (chauffages issus du RegBL)

        elec_consumption_mwh_per_year_per_capita
        double
        MWh/year/person
        Indicateur: consommation annuelle d'électricité par habitant

        elec_consumption_households_mwh_per_year_per_capita
        double
        MWh/year/person
        Consommation annuelle d'électricité par habitant dans le secteur des ménages

        elec_consumption_mwh_per_year
        integer
        MWh/year
        Consommation annuelle d'électricité absolue

        elec_consumption_households_mwh_per_year
        integer
        MWh/year
        Consommation annuelle d'électricité absolue dans le secteur des ménages

        elec_consumption_date_from
        date

        Date de début de la consommation d'électricité

        elec_consumption_date_until
        date

        Date de fin de la consommation d'électricité (jusqu'à et avec)

        renelec_production_mwh_per_year_per_capita
        double
        MWh/year/person
        Indicateur: Production d'électricité renouvelable par an et personne

        renelec_production_mwh_per_year
        double
        MWh/year
        Production d'électricité renouvelable par an

        renelec_production_water_mwh_per_year
        double
        MWh/year
        Production d'électricité renouvelable par an des centrales hydroélectriques

        renelec_production_solar_mwh_per_year
        double
        MWh/year
        Production d'électricité renouvelable par an des installations photovoltaïques

        renelec_production_wind_mwh_per_year
        double
        MWh/year
        Production d'électricité renouvelable par an des installations éoliennes

        renelec_production_biomass_mwh_per_year
        double
        MWh/year
        Production d'électricité renouvelable par an des installations de biomasse

        renelec_production_waste_mwh_per_year
        double
        MWh/year
        Production d'électricité renouvelable par an des usines d'incinération des ordures ménagères

        renelec_production_date_from
        date

        Date de début de la production d'électricité indiquée

        renelec_production_date_until
        date

        Date de fin de la production d'électricité indiquée (jusqu'à et avec)

en:
The data set __energyreporter_latest.zip__ contains the current progress of all municipalities, cantons and Switzerland in CSV format (zipped). It contains three CSV files:

- __energyreporter_municipality_latest.csv__: Energy Reporter indicators of all municipalities in Switzerland.
- __energyreporter_canton_latest.csv__: Energy Reporter indicators for all cantons in Switzerland.
- __energyreporter_national_latest.csv__: Energy Reporter indicators for the whole of Switzerland.

The values of the municipalities cannot be averaged to calculate the indicators at cantonal and national level, as these values are based on aggregated data. The indicators must either be calculated directly on the basis
calculated directly on the basis of the data on which the aggregation is based, or the values of the municipalities must be weighted according to the number of objects in a municipality (e.g. number of cars). For the sake of simplicity, we provide pre-calculated indicators for all levels in this download (municipality, canton, Switzerland).

The CSV files contain the following attributes:

        Attribute
        Type
        Unit
        Description

        bfs_nr
        integer

        Official municipality ID of the Federal Statistical Office (only for municipality data)

        municipality
        text

        Community name (only for community data)

        bfs_municipality_type_2012_25
        text

        Type of municipality according to the 2012 municipality typology of the Federal Statistical Office (FSO) (only for municipality data)

        canton
        text

        Canton abbreviation (only for municipality and canton data)

        energyreporter_date
        date

        Data status of the Energy Reporter application (only for historicized data)

        electric_car_share
        double
        decimal fraction
        Indicator: electric cars

        electric_car_count
        integer

        Number of electric cars

        electric_car_share_last_change
        date

        Data status of the primary data source (ASTRA)

        electric_car_charging_spot_count
        integer

        Number of publicly accessible charging points

        electric_cars_per_charging_spot
        double

        Number of electric cars per charging point

        electric_car_charging_spot_last_change
        date

        Last change to the primary data source (SFOE charging stations for electric cars)

        solar_potential_usage
        double
        decimal fraction
        Indicator: Production of solar power

        solar_power_installed_kwp
        double
        kWp
        Installed capacity of photovoltaic systems

        solar_potential_usage_last_change
        date

        Last change to the primary data source (production facilities, solar potential)

        renewable_heating_share
        double
        decimal fraction
        Indicator: Renewable heating

        renewable_heating_count
        integer

        Number of renewable heating systems

        non_renewable_heating_count
        integer

        Number of non-renewable heating systems

        no_heating_count
        integer

        Number of buildings without heating system

        renewable_heating_share_coverage
        double
        decimal fraction
        Coverage of heating data for estimating the quality of the renewable heating indicator

        renewable_heating_share_last_change
        date

        Last change to the primary data source (heaters from the GWR)

        elec_consumption_mwh_per_year_per_capita
        double
        MWh/year/person
        Indicator: Electricity consumption per inhabitant

        elec_consumption_households_mwh_per_year_per_capita
        double
        MWh/year/person
        Electricity consumption per inhabitant the household sector

        elec_consumption_mwh_per_year
        integer
        MWh/year
        Absolute power consumption

        elec_consumption_households_mwh_per_year
        integer
        MWh/year
        Absolute electricity consumption in the household sector

        elec_consumption_date_from
        date

        Start date of the specified power consumption

        elec_consumption_date_until
        date

        End date of the specified electricity consumption (to and with)

        renelec_production_mwh_per_year_per_capita
        double
        MWh/year/person
        Indicator: Renewable electricity production per year and person

        renelec_production_mwh_per_year
        double
        MWh/year
        Renewable electricity production per year

        renelec_production_water_mwh_per_year
        double
        MWh/year
        Renewable electricity production per year from hydropower plants

        renelec_production_solar_mwh_per_year
        double
        MWh/year
        Renewable electricity production per year from photovoltaic systems

        renelec_production_wind_mwh_per_year
        double
        MWh/year
        Renewable electricity production per year from wind power plants

        renelec_production_biomass_mwh_per_year
        double
        MWh/year
        Renewable electricity production per year from biomass plants

        renelec_production_waste_mwh_per_year
        double
        MWh/year
        Renewable electricity production per year from waste incineration plants

        renelec_production_date_from
        date

        Start date of the specified electricity production

        renelec_production_date_until
        date

        End date of the specified electricity production (to and with)

de:
Der Datensatz __energyreporter_latest.zip__ enthält den aktuellen Fortschritt aller Gemeinden, Kantone und der Schweiz im CSV-Format (gezippt). Er enthält drei CSV-Dateien:

- __energyreporter_municipality_latest.csv__: Energie Reporter-Indikatoren aller Gemeinden der Schweiz.
- __energyreporter_canton_latest.csv__: Energie Reporter-Indikatoren aller Kantone der Schweiz.
- __energyreporter_national_latest.csv__: Energie Reporter-Indikatoren der gesamten Schweiz.

Für die Berechnung der Indikatoren auf Kantons- und nationaler Ebene können nicht die Werte der Gemeinden gemittelt werden, da diese Werte auf aggregierten Daten beruhen. Die Indikatoren müssen entweder direkt auf Basis
der Daten berechnet werden, welche der Aggregation zugrunde liegen, oder die Werte der Gemeinden müssen anhand der Anzahl Objekte in einer Gemeinde (z.B. Anzahl Autos) gewichtet werden. Der Einfachheit halber stellen wir in diesem Download für alle Ebene vorberechnete Indikatoren zur Verfügung (Gemeinde, Kanton, Schweiz).

Die CSV-Dateien enthalten folgende Attribute:

        Attribute
        Type
        Unit
        Description

        bfs_nr
        integer

        Offizielle Gemeinde-ID des Bundesamtes für Statistik (nur für Gemeindedaten)

        municipality
        text

        Gemeindename (nur für Gemeindedaten)

        bfs_municipality_type_2012_25
        text

        Gemeindetyp gemäss Gemeindetypologie 2012 des Bundesamts für Statistik (BFS) (nur für Gemeindedaten)

        canton
        text

        Kantonskürzel (nur für Gemeinde- und Kantonsdaten)

        energyreporter_date
        date

        Datenstand der Energie Reporter-Applikation (nur für historisierte Daten)

        electric_car_share
        double
        decimal fraction
        Indikator: Elektroautos

        electric_car_count
        integer

        Anzahl Elektroautos

        electric_car_share_last_change
        date

        Datenstand der primären Datenquelle (ASTRA)

        electric_car_charging_spot_count
        integer

        Anzahl öffentlich zugängliche Ladepunkte

        electric_cars_per_charging_spot
        double

        Anzahl Elektroautos pro Ladepunkt

        electric_car_charging_spot_last_change
        date

        Letzte Änderung der primären Datenquelle (BFE Ladestationen für Elektroautos)

        solar_potential_usage
        double
        decimal fraction
        Indikator: Produktion Solarstrom

        solar_power_installed_kwp
        double
        kWp
        Installierte Leistung von Photovoltaikanlagen

        solar_potential_usage_last_change
        date

        Letzte Änderung der primären Datenquelle (Produktionsanlagen, Solarpotenzial)

        renewable_heating_share
        double
        decimal fraction
        Indikator: Erneuerbar heizen

        renewable_heating_count
        integer

        Anzahl erneuerbarer Heizsysteme

        non_renewable_heating_count
        integer

        Anzahl nicht erneuerbarer Heizsysteme

        no_heating_count
        integer

        Anzahl Gebäude ohne Heizsystem

        renewable_heating_share_coverage
        double
        decimal fraction
        Abdeckung der Heizungsdaten zur Qualitätsabschätzung des Indikators Erneuerbar heizen

        renewable_heating_share_last_change
        date

        Letzte Änderung der primären Datenquelle (Heizungen aus dem GWR)

        elec_consumption_mwh_per_year_per_capita
        double
        MWh/year/person
        Indikator: Stromverbrauch pro Einwohner:in

        elec_consumption_households_mwh_per_year_per_capita
        double
        MWh/year/person
        Stromverbrauch pro Einwohner:in des Sektors Haushalte

        elec_consumption_mwh_per_year
        integer
        MWh/year
        Absoluter Stromverbrauch

        elec_consumption_households_mwh_per_year
        integer
        MWh/year
        Absoluter Stromverbrauch des Sektors Haushalte

        elec_consumption_date_from
        date

        Startdatum des angegebenen Stromverbrauchs

        elec_consumption_date_until
        date

        Enddatum des angegebenen Stromverbrauchs (bis und mit)

        renelec_production_mwh_per_year_per_capita
        double
        MWh/year/person
        Indikator: Erneuerbare Stromproduktion pro Jahr und Person

        renelec_production_mwh_per_year
        double
        MWh/year
        Erneuerbare Stromproduktion pro Jahr

        renelec_production_water_mwh_per_year
        double
        MWh/year
        Erneuerbare Stromproduktion pro Jahr von Wasserkraftwerken

        renelec_production_solar_mwh_per_year
        double
        MWh/year
        Erneuerbare Stromproduktion pro Jahr von Photovoltaikanlagen

        renelec_production_wind_mwh_per_year
        double
        MWh/year
        Erneuerbare Stromproduktion pro Jahr von Windkraftanlagen

        renelec_production_biomass_mwh_per_year
        double
        MWh/year
        Erneuerbare Stromproduktion pro Jahr von Biomasseanlagen

        renelec_production_waste_mwh_per_year
        double
        MWh/year
        Erneuerbare Stromproduktion pro Jahr von Kehrichtverbrennungsanlagen

        renelec_production_date_from
        date

        Startdatum der angegebenen Stromproduktion

        renelec_production_date_until
        date

        Enddatum der angegebenen Stromproduktion (bis und mit)

it:
La raccolta dati __energyreporter_latest.zip__ contiene i progressi attuali di tutti i comuni, i cantoni e la Svizzera in formato CSV (compresso). Contiene tre file CSV:

- __energyreporter_municipality_latest.csv__: indicatori del Reporter Energetico di tutti i comuni della Svizzera.
- __energyreporter_canton_latest.csv__: indicatori del Reporter Energetico di tutti i cantoni della Svizzera.
- __energyreporter_national_latest.csv__: indicatori del Reporter Energetico per tutta la Svizzera.

Per calcolare gli indicatori a livello cantonale e nazionale, non si può semplicemente utilizzare la media dei valori dei comuni, poiché questi valori si basano su dati aggregati. Gli indicatori devono essere calcolati direttamente sulla base dei dati su cui avviene l'aggregazione, oppure i valori dei comuni devono essere ponderati in base al numero di oggetti presenti in un comune (ad esempio, il numero di automobili). Per semplicità, in questo download forniamo indicatori precalcolati per tutti i livelli (comune, cantone, Svizzera).

I file CSV contengono i seguenti attributi:

        Attribute
        Type
        Unit
        Description

        bfs_nr
        integer

        ID ufficiale del comune attribuito dall'ufficio federale di statistica (solamente per i dati comunali)

        municipality
        text

        Nome del comune (solamente per i dati comunali)

        bfs_municipality_type_2012_25
        text

        Tipo di comune secondo la tipologia dei comuni 2012 dell'Ufficio federale di statistica (UST) (solamente per i dati comunali)

        canton
        text

        Abbreviazione del cantone (solamente per i dati comunali e cantonali)

        energyreporter_date
        date

        Stato dei dati del Reporter Energetico (solo per dati storicizzati)

        electric_car_share
        double
        decimal fraction
        Indicatore: auto elettriche

        electric_car_count
        integer

        Numero di auto elettriche

        electric_car_share_last_change
        date

        Stato dei dati della sorgente di dati primaria (ASTRA)

        electric_car_charging_spot_count
        integer

        Numero di punti di ricarica accessibili al pubblico

        electric_cars_per_charging_spot
        double

        Numero di auto elettriche per punto di ricarica

        electric_car_charging_spot_last_change
        date

        Ultimo aggiornamento alla fonte dei dati primari (UFE stazioni di ricarica per auto elettriche)

        solar_potential_usage
        double
        decimal fraction
        Indicatore: produzione di energia solare

        solar_power_installed_kwp
        double
        kWp
        Capacità installata di impianti fotovoltaici

        solar_potential_usage_last_change
        date

        Ultimo aggiornamento della fonte primaria di dati (impianti fotovoltaici, potenziale fotovoltaico)

        renewable_heating_share
        double
        decimal fraction
        Indicatore: riscaldamento da fonti rinnovabili

        renewable_heating_count
        integer

        Numero di sistemi di riscaldamento rinnovabili

        non_renewable_heating_count
        integer

        Numero di sistemi di riscaldamento non rinnovabili

        no_heating_count
        integer

        Numero di edifici senza impianto di riscaldamento

        renewable_heating_share_coverage
        double
        decimal fraction
        Copertura dei dati relativi all'indicatore  per la stima di qualità dell'indicatore riscaldamento rinnovabile.

        renewable_heating_share_last_change
        date

        Ultimo aggiornamento della fonte primaria dei dati (impianti di riscaldamento del REA)

        elec_consumption_mwh_per_year_per_capita
        double
        MWh/year/person
        Indicatore: Consumo di energia elettrica per abitante

        elec_consumption_households_mwh_per_year_per_capita
        double
        MWh/year/person
        Consumo di energia elettrica per abitante nel settore domestico

        elec_consumption_mwh_per_year
        integer
        MWh/year
        Consumo assoluto di energia elettrica

        elec_consumption_households_mwh_per_year
        integer
        MWh/year
        Consumo assoluto di energia elettrica nel settore domestico

        elec_consumption_date_from
        date

        Data di inizio del consumo di energia

        elec_consumption_date_until
        date

        Data di fine del consumo di energia (compresa)

        renelec_production_mwh_per_year_per_capita
        double
        MWh/year/person
        Indicatore: Produzione di energia elettrica rinnovabile per anno e persona

        renelec_production_mwh_per_year
        double
        MWh/year
        Produzione di elettricità rinnovabile per anno

        renelec_production_water_mwh_per_year
        double
        MWh/year
        Produzione annua di elettricità rinnovabile da centrali idroelettriche

        renelec_production_solar_mwh_per_year
        double
        MWh/year
        Produzione annua di elettricità rinnovabile da impianti fotovoltaici

        renelec_production_wind_mwh_per_year
        double
        MWh/year
        Produzione annua di elettricità rinnovabile da impianti eolici

        renelec_production_biomass_mwh_per_year
        double
        MWh/year
        Produzione annua di elettricità rinnovabile da impianti a biomassa

        renelec_production_waste_mwh_per_year
        double
        MWh/year
        Produzione annua di energia elettrica rinnovabile da impianti di incenerimento dei rifiuti

        renelec_production_date_from
        date

        Data di inizio della produzione di elettricità specificata

        renelec_production_date_until
        date

        Data di fine della produzione di elettricità specificata (compresa)

format: ZIP

fr:
L'archive __energyreporter_historized.zip__ compile l'évolution mensuelle des données depuis la création de Reporter Énergie (1er mars 2021), présentant le progrès des communes, des cantons, ainsi que de la Suisse entière, sous forme de fichiers CSV compressés. Elle inclut trois fichiers CSV distincts:

- __energyreporter_municipality_historized.csv__: Ce fichier contient les indicateurs de Reporter Énergie pour les communes suisses.
- __energyreporter_canton_historized.csv__: Ce fichier contient les indicateurs de Reporter Énergie pour les cantons suisses.
- __energyreporter_national_historized.csv__: Ce fichier contient les indicateurs de Reporter Énergie à l'échelle nationale pour la Suisse.

Il est important de noter que le calcul des indicateurs à l'échelle cantonale et nationale ne peut se baser sur une simple moyenne des valeurs des communes, en raison de leur caractère agrégé. Les indicateurs doivent être soit calculés directement à partir des données initiales d'agrégation, soit ajustés par une pondération tenant compte du nombre d'entités dans chaque commune (par exemple, le nombre de voitures). C'est pourquoi nous mettons à disposition, avec ce téléchargement, des indicateurs précalculés pour tous les niveaux (commune, canton, Suisse).

Les fichiers CSV comprennent les attributs suivants:

        Attribute
        Type
        Unit
        Description

        bfs_nr
        integer

        ID officiel de la commune de l'Office fédéral de la statistique (uniquement pour les données communales)

        municipality
        text

        Nom de la commune (uniquement pour les données communales)

        bfs_municipality_type_2012_25
        text

        Type de commune selon la typologie des communes 2012 de l'Office fédéral de la statistique (OFS) (uniquement pour les données communales)

        canton
        text

        Abréviation du canton (uniquement pour les données communales et cantonales)

        energyreporter_date
        date

        État des données de l'application Reporter Energie (uniquement pour les données historisées)

        electric_car_share
        double
        decimal fraction
        Indicateur: voitures électriques

        electric_car_count
        integer

        Nombre de voitures électriques

        electric_car_share_last_change
        date

        État des données de la source de données primaire (OFROU)

        electric_car_charging_spot_count
        integer

        Nombre de bornes de recharge accessibles au public

        electric_cars_per_charging_spot
        double

        Nombre de voitures électriques par borne de recharge

        electric_car_charging_spot_last_change
        date

        Dernière modification de la source de données primaire (OFEN stations de recharge pour voitures électriques)

        solar_potential_usage
        double
        decimal fraction
        Indicateur: production d'énergie solaire

        solar_power_installed_kwp
        double
        kWp
        Puissance installée des systèmes photovoltaïques

        solar_potential_usage_last_change
        date

        Dernière modification de la source de données primaire (installations de production, potentiel solaire)

        renewable_heating_share
        double
        decimal fraction
        Indicateur: chauffage renouvelable

        renewable_heating_count
        integer

        Nombre de systèmes de chauffage renouvelable

        non_renewable_heating_count
        integer

        Nombre de systèmes de chauffage non renouvelable

        no_heating_count
        integer

        Nombre de bâtiments sans système de chauffage

        renewable_heating_share_coverage
        double
        decimal fraction
        Couverture des données de chauffage pour l'estimation de la qualité de l'indicateur Chauffage renouvelable

        renewable_heating_share_last_change
        date

        Dernière modification de la source de données primaire (chauffages issus du RegBL)

        elec_consumption_mwh_per_year_per_capita
        double
        MWh/year/person
        Indicateur: consommation annuelle d'électricité par habitant

        elec_consumption_households_mwh_per_year_per_capita
        double
        MWh/year/person
        Consommation annuelle d'électricité par habitant dans le secteur des ménages

        elec_consumption_mwh_per_year
        integer
        MWh/year
        Consommation annuelle d'électricité absolue

        elec_consumption_households_mwh_per_year
        integer
        MWh/year
        Consommation annuelle d'électricité absolue dans le secteur des ménages

        elec_consumption_date_from
        date

        Date de début de la consommation d'électricité

        elec_consumption_date_until
        date

        Date de fin de la consommation d'électricité (jusqu'à et avec)

        renelec_production_mwh_per_year_per_capita
        double
        MWh/year/person
        Indicateur: Production d'électricité renouvelable par an et personne

        renelec_production_mwh_per_year
        double
        MWh/year
        Production d'électricité renouvelable par an

        renelec_production_water_mwh_per_year
        double
        MWh/year
        Production d'électricité renouvelable par an des centrales hydroélectriques

        renelec_production_solar_mwh_per_year
        double
        MWh/year
        Production d'électricité renouvelable par an des installations photovoltaïques

        renelec_production_wind_mwh_per_year
        double
        MWh/year
        Production d'électricité renouvelable par an des installations éoliennes

        renelec_production_biomass_mwh_per_year
        double
        MWh/year
        Production d'électricité renouvelable par an des installations de biomasse

        renelec_production_waste_mwh_per_year
        double
        MWh/year
        Production d'électricité renouvelable par an des usines d'incinération des ordures ménagères

        renelec_production_date_from
        date

        Date de début de la production d'électricité indiquée

        renelec_production_date_until
        date

        Date de fin de la production d'électricité indiquée (jusqu'à et avec)

en:
The data set __energyreporter_historized.zip__ contains monthly time slices since the creation of Energie Reporter (1 March 2021) with the progress of all municipalities and cantons as well as Switzerland in CSV format (zipped). It contains three CSV files:

- __energyreporter_municipality_historized.csv__: Energy Reporter indicators of all municipalities in Switzerland per month.
- __energyreporter_canton_historized.csv__: Energy Reporter indicators of all cantons in Switzerland per month.
- __energyreporter_national_historized.csv__: Energy Reporter indicators for the whole of Switzerland per month.

For the calculation of the indicators at cantonal and national level, the values of the municipalities cannot be averaged, as these values are based on aggregated data. The indicators must either be calculated directly on the basis of the data on which the aggregation is based, or the values of the municipalities must be weighted according to the number of objects in a municipality (e.g. number of cars). For the sake of simplicity, we provide pre-calculated indicators for all levels in this download (municipality, canton, Switzerland).

 The CSV files contain the following attributes:

        Attribute
        Type
        Unit
        Description

        bfs_nr
        integer

        Official municipality ID of the Federal Statistical Office (only for municipality data)

        municipality
        text

        Community name (only for community data)

        bfs_municipality_type_2012_25
        text

        Type of municipality according to the 2012 municipality typology of the Federal Statistical Office (FSO) (only for municipality data)

        canton
        text

        Canton abbreviation (only for municipality and canton data)

        energyreporter_date
        date

        Data status of the Energy Reporter application (only for historicized data)

        electric_car_share
        double
        decimal fraction
        Indicator: electric cars

        electric_car_count
        integer

        Number of electric cars

        electric_car_share_last_change
        date

        Data status of the primary data source (ASTRA)

        electric_car_charging_spot_count
        integer

        Number of publicly accessible charging points

        electric_cars_per_charging_spot
        double

        Number of electric cars per charging point

        electric_car_charging_spot_last_change
        date

        Last change to the primary data source (SFOE charging stations for electric cars)

        solar_potential_usage
        double
        decimal fraction
        Indicator: Production of solar power

        solar_power_installed_kwp
        double
        kWp
        Installed capacity of photovoltaic systems

        solar_potential_usage_last_change
        date

        Last change to the primary data source (production facilities, solar potential)

        renewable_heating_share
        double
        decimal fraction
        Indicator: Renewable heating

        renewable_heating_count
        integer

        Number of renewable heating systems

        non_renewable_heating_count
        integer

        Number of non-renewable heating systems

        no_heating_count
        integer

        Number of buildings without heating system

        renewable_heating_share_coverage
        double
        decimal fraction
        Coverage of heating data for estimating the quality of the renewable heating indicator

        renewable_heating_share_last_change
        date

        Last change to the primary data source (heaters from the GWR)

        elec_consumption_mwh_per_year_per_capita
        double
        MWh/year/person
        Indicator: Electricity consumption per inhabitant

        elec_consumption_households_mwh_per_year_per_capita
        double
        MWh/year/person
        Electricity consumption per inhabitant the household sector

        elec_consumption_mwh_per_year
        integer
        MWh/year
        Absolute power consumption

        elec_consumption_households_mwh_per_year
        integer
        MWh/year
        Absolute electricity consumption in the household sector

        elec_consumption_date_from
        date

        Start date of the specified power consumption

        elec_consumption_date_until
        date

        End date of the specified electricity consumption (to and with)

        renelec_production_mwh_per_year_per_capita
        double
        MWh/year/person
        Indicator: Renewable electricity production per year and person

        renelec_production_mwh_per_year
        double
        MWh/year
        Renewable electricity production per year

        renelec_production_water_mwh_per_year
        double
        MWh/year
        Renewable electricity production per year from hydropower plants

        renelec_production_solar_mwh_per_year
        double
        MWh/year
        Renewable electricity production per year from photovoltaic systems

        renelec_production_wind_mwh_per_year
        double
        MWh/year
        Renewable electricity production per year from wind power plants

        renelec_production_biomass_mwh_per_year
        double
        MWh/year
        Renewable electricity production per year from biomass plants

        renelec_production_waste_mwh_per_year
        double
        MWh/year
        Renewable electricity production per year from waste incineration plants

        renelec_production_date_from
        date

        Start date of the specified electricity production

        renelec_production_date_until
        date

        End date of the specified electricity production (to and with)

de:
Der Datensatz __energyreporter_historized.zip__ enthält monatliche Zeitschnitte seit der Entstehung von Energie Reporter (1. März 2021) mit dem Fortschritt aller Gemeinden und Kantone sowie der Schweiz im CSV-Format (gezippt). Er enthält drei CSV-Dateien:

- __energyreporter_municipality_historized.csv__: Energie Reporter-Indikatoren aller Gemeinden der Schweiz pro Monat.
- __energyreporter_canton_historized.csv__: Energie Reporter-Indikatoren aller Kantone der Schweiz pro Monat.
- __energyreporter_national_historized.csv__: Energie Reporter-Indikatoren der gesamten Schweiz pro Monat.

Die CSV-Dateien enthalten folgende Attribute:

        Attribute
        Type
        Unit
        Description

        bfs_nr
        integer

        Offizielle Gemeinde-ID des Bundesamtes für Statistik (nur für Gemeindedaten)

        municipality
        text

        Gemeindename (nur für Gemeindedaten)

        bfs_municipality_type_2012_25
        text

        Gemeindetyp gemäss Gemeindetypologie 2012 des Bundesamts für Statistik (BFS) (nur für Gemeindedaten)

        canton
        text

        Kantonskürzel (nur für Gemeinde- und Kantonsdaten)

        energyreporter_date
        date

        Datenstand der Energie Reporter-Applikation (nur für historisierte Daten)

        electric_car_share
        double
        decimal fraction
        Indikator: Elektroautos

        electric_car_count
        integer

        Anzahl Elektroautos

        electric_car_share_last_change
        date

        Datenstand der primären Datenquelle (ASTRA)

        electric_car_charging_spot_count
        integer

        Anzahl öffentlich zugängliche Ladepunkte

        electric_cars_per_charging_spot
        double

        Anzahl Elektroautos pro Ladepunkt

        electric_car_charging_spot_last_change
        date

        Letzte Änderung der primären Datenquelle (BFE Ladestationen für Elektroautos)

        solar_potential_usage
        double
        decimal fraction
        Indikator: Produktion Solarstrom

        solar_power_installed_kwp
        double
        kWp
        Installierte Leistung von Photovoltaikanlagen

        solar_potential_usage_last_change
        date

        Letzte Änderung der primären Datenquelle (Produktionsanlagen, Solarpotenzial)

        renewable_heating_share
        double
        decimal fraction
        Indikator: Erneuerbar heizen

        renewable_heating_count
        integer

        Anzahl erneuerbarer Heizsysteme

        non_renewable_heating_count
        integer

        Anzahl nicht erneuerbarer Heizsysteme

        no_heating_count
        integer

        Anzahl Gebäude ohne Heizsystem

        renewable_heating_share_coverage
        double
        decimal fraction
        Abdeckung der Heizungsdaten zur Qualitätsabschätzung des Indikators Erneuerbar heizen

        renewable_heating_share_last_change
        date

        Letzte Änderung der primären Datenquelle (Heizungen aus dem GWR)

        elec_consumption_mwh_per_year_per_capita
        double
        MWh/year/person
        Indikator: Stromverbrauch pro Einwohner:in

        elec_consumption_households_mwh_per_year_per_capita
        double
        MWh/year/person
        Stromverbrauch pro Einwohner:in des Sektors Haushalte

        elec_consumption_mwh_per_year
        integer
        MWh/year
        Absoluter Stromverbrauch

        elec_consumption_households_mwh_per_year
        integer
        MWh/year
        Absoluter Stromverbrauch des Sektors Haushalte

        elec_consumption_date_from
        date

        Startdatum des angegebenen Stromverbrauchs

        elec_consumption_date_until
        date

        Enddatum des angegebenen Stromverbrauchs (bis und mit)

        renelec_production_mwh_per_year_per_capita
        double
        MWh/year/person
        Indikator: Erneuerbare Stromproduktion pro Jahr und Person

        renelec_production_mwh_per_year
        double
        MWh/year
        Erneuerbare Stromproduktion pro Jahr

        renelec_production_water_mwh_per_year
        double
        MWh/year
        Erneuerbare Stromproduktion pro Jahr von Wasserkraftwerken

        renelec_production_solar_mwh_per_year
        double
        MWh/year
        Erneuerbare Stromproduktion pro Jahr von Photovoltaikanlagen

        renelec_production_wind_mwh_per_year
        double
        MWh/year
        Erneuerbare Stromproduktion pro Jahr von Windkraftanlagen

        renelec_production_biomass_mwh_per_year
        double
        MWh/year
        Erneuerbare Stromproduktion pro Jahr von Biomasseanlagen

        renelec_production_waste_mwh_per_year
        double
        MWh/year
        Erneuerbare Stromproduktion pro Jahr von Kehrichtverbrennungsanlagen

        renelec_production_date_from
        date

        Startdatum der angegebenen Stromproduktion

        renelec_production_date_until
        date

        Enddatum der angegebenen Stromproduktion (bis und mit)

it:
La raccolta dati __energyreporter_historized.zip__ contiene l'andamento temporale mensile dall'inizio del Reporter Energetico (1 marzo 2021) con i progressi di tutti i comuni, i cantoni, e della Svizzera in formato CSV (compresso). Contiene tre file CSV:

- __energyreporter_municipality_historized.csv__: indicatori del Reporter Energetico di tutti i comuni della Svizzera per mese.
- __energyreporter_canton_historized.csv__: indicatori del Reporter Energetico di tutti i cantoni svizzeri per mese.
- __energyreporter_national_historized.csv__: indicatori del Reporter Energetico di tutta la Svizzera per mese.

Per calcolare gli indicatori a livello cantonale e nazionale, non si può semplicemente utilizzare la media dei valori dei comuni, poiché questi valori si basano su dati aggregati. Gli indicatori devono essere calcolati direttamente sulla base dei dati su cui avviene l'aggregazione, oppure i valori dei comuni devono essere ponderati in base al numero di oggetti presenti in un comune (ad esempio, il numero di automobili). Per semplicità, in questo download forniamo indicatori precalcolati per tutti i livelli (comune, cantone, Svizzera).

I file CSV contengono i seguenti attributi:

        Attribute
        Type
        Unit
        Description

        bfs_nr
        integer

        ID ufficiale del comune attribuito dall'ufficio federale di statistica (solamente per i dati comunali)

        municipality
        text

        Nome del comune (solamente per i dati comunali)

        bfs_municipality_type_2012_25
        text

        Tipo di comune secondo la tipologia dei comuni 2012 dell'Ufficio federale di statistica (UST) (solamente per i dati comunali)

        canton
        text

        Abbreviazione del cantone (solamente per i dati comunali e cantonali)

        energyreporter_date
        date

        Stato dei dati del Reporter Energetico (solo per dati storicizzati)

        electric_car_share
        double
        decimal fraction
        Indicatore: auto elettriche

        electric_car_count
        integer

        Numero di auto elettriche

        electric_car_share_last_change
        date

        Stato dei dati della sorgente di dati primaria (ASTRA)

        electric_car_charging_spot_count
        integer

        Numero di punti di ricarica accessibili al pubblico

        electric_cars_per_charging_spot
        double

        Numero di auto elettriche per punto di ricarica

        electric_car_charging_spot_last_change
        date

        Ultimo aggiornamento alla fonte dei dati primari (UFE stazioni di ricarica per auto elettriche)

        solar_potential_usage
        double
        decimal fraction
        Indicatore: produzione di energia solare

        solar_power_installed_kwp
        double
        kWp
        Capacità installata di impianti fotovoltaici

        solar_potential_usage_last_change
        date

        Ultimo aggiornamento della fonte primaria di dati (impianti fotovoltaici, potenziale fotovoltaico)

        renewable_heating_share
        double
        decimal fraction
        Indicatore: riscaldamento da fonti rinnovabili

        renewable_heating_count
        integer

        Numero di sistemi di riscaldamento rinnovabili

        non_renewable_heating_count
        integer

        Numero di sistemi di riscaldamento non rinnovabili

        no_heating_count
        integer

        Numero di edifici senza impianto di riscaldamento

        renewable_heating_share_coverage
        double
        decimal fraction
        Copertura dei dati relativi all'indicatore  per la stima di qualità dell'indicatore riscaldamento rinnovabile.

        renewable_heating_share_last_change
        date

        Ultimo aggiornamento della fonte primaria dei dati (impianti di riscaldamento del REA)

        elec_consumption_mwh_per_year_per_capita
        double
        MWh/year/person
        Indicatore: Consumo di energia elettrica per abitante

        elec_consumption_households_mwh_per_year_per_capita
        double
        MWh/year/person
        Consumo di energia elettrica per abitante nel settore domestico

        elec_consumption_mwh_per_year
        integer
        MWh/year
        Consumo assoluto di energia elettrica

        elec_consumption_households_mwh_per_year
        integer
        MWh/year
        Consumo assoluto di energia elettrica nel settore domestico

        elec_consumption_date_from
        date

        Data di inizio del consumo di energia

        elec_consumption_date_until
        date

        Data di fine del consumo di energia (compresa)

        renelec_production_mwh_per_year_per_capita
        double
        MWh/year/person
        Indicatore: Produzione di energia elettrica rinnovabile per anno e persona

        renelec_production_mwh_per_year
        double
        MWh/year
        Produzione di elettricità rinnovabile per anno

        renelec_production_water_mwh_per_year
        double
        MWh/year
        Produzione annua di elettricità rinnovabile da centrali idroelettriche

        renelec_production_solar_mwh_per_year
        double
        MWh/year
        Produzione annua di elettricità rinnovabile da impianti fotovoltaici

        renelec_production_wind_mwh_per_year
        double
        MWh/year
        Produzione annua di elettricità rinnovabile da impianti eolici

        renelec_production_biomass_mwh_per_year
        double
        MWh/year
        Produzione annua di elettricità rinnovabile da impianti a biomassa

        renelec_production_waste_mwh_per_year
        double
        MWh/year
        Produzione annua di energia elettrica rinnovabile da impianti di incenerimento dei rifiuti

        renelec_production_date_from
        date

        Data di inizio della produzione di elettricità specificata

        renelec_production_date_until
        date

        Data di fine della produzione di elettricità specificata (compresa)

fr:
[Reporter Énergie](https://www.energiereporter.ch) observe les évolutions de la transition énergétique dans les communes et les cantons suisses. Vous trouverez ici l'état actuel des domaines sélectionnés concernant les voitures électriques, l'énergie solaire, le chauffage renouvelable, la consommation d'électricité et la production d'électricité renouvelable pour chaque commune et canton.

Ces données sont publiées sous la licence Creative Commons [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/deed.fr). Elles peuvent être utilisées et diffusées librement. Si elles sont utilisées, le nom __Reporter Énergie__ doit être indiqué comme source, de même __geoimpact__ et __SuisseEnergie__ comme contributeurs. Pour le contenu en ligne, le lien vers [Reporter Énergie](https://www.reporterenergie.ch) doit également être fourni.

L'archive __energyreporter_latest.zip__ compile les données les plus récentes concernant le progrès des communes, des cantons et de la Suisse entière, sous format CSV compressé. Pour plus d'informations sur le jeu de données et les champs de données qu'il contient, consultez la page de la ressource.

L'archive __energyreporter_historized.zip__ compile l'évolution mensuelle des données depuis la création de Reporter Énergie (1er mars 2021), présentant le progrès des communes, des cantons, ainsi que de la Suisse entière, sous forme de fichiers CSV compressés. Pour plus d'informations sur le jeu de données et les champs de données qu'il contient, consultez la page de la ressources.

en:
The [Energy Reporter](https://www.energiereporter.ch) monitors developments in the energy transition in the municipalities and cantons of Switzerland. Here you can find out the current status in the selected subject areas of electric cars, solar power, renewable heating, electricity consumption and renewable electricity production for each municipality and canton.

This data is published under the Creative Commons License [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/deed.en). They can be freely used and distributed. In the event of publication, the name __Energie Reporter__ must be given as the source and __geoimpact__ and __EnergieSchweiz__ as contributors. In the case of online content, the link to [Energie Reporter](https://www.energiereporter.ch) must also be provided.

The current data set __energyreporter_latest.zip__ contains the current progress of all municipalities, cantons and Switzerland in CSV format (zipped). For more information on the dataset and the data fields it contains, go to the resources page.

The historicized dataset __energyreporter_historized.zip__ contains monthly time slices since the existence of Energie Reporter (1 March 2021) with the progress of all municipalities and cantons as well as Switzerland in CSV format (zipped). For more information on the dataset and the data fields it contains, go to the resources page.

de:
Der [Energie Reporter](https://www.energiereporter.ch) beobachtet die Entwicklungen der Energiewende in den Gemeinden und Kantonen der Schweiz. Hier erfahren Sie den aktuellen Stand in den ausgewählten Themenbereichen Elektroautos, Solarstrom, erneuerbar heizen, Stromverbrauch und erneuerbare Stromproduktion für jede Gemeinde und jeden Kanton.

Diese Daten sind unter der Creative Commons Lizenz [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/deed.de) veröffentlicht. Sie können frei verwendet und weitergegeben werden. Bei einer Veröffentlichung müssen der Name __Energie Reporter__ als Quelle sowie __geoimpact__ und __EnergieSchweiz__ als Mitwirkende angegeben werden. Bei Online-Inhalten ist zudem der Link zu [Energie Reporter](https://www.energiereporter.ch) anzugeben.

Der aktuelle Datensatz __energyreporter_latest.zip__ enthält den aktuellen Fortschritt aller Gemeinden, Kantone und der Schweiz im CSV-Format (gezippt). Für mehr Informationen zum Datensatz und den enthaltenen Datenfeldern gehe zur Ressourcenseite.

Der historisierte Datensatz __energyreporter_historized.zip__ enthält monatliche Zeitschnitte seit dem Bestehen von Energie Reporter (1. März 2021) mit dem Fortschritt aller Gemeinden und Kantone sowie der Schweiz im CSV-Format (gezippt). Für mehr Informationen zum Datensatz und den enthaltenen Datenfeldern gehe zur Ressourcenseite.

it:
Il [Reporter Energetico](https://www.reporterenergetico.ch) mostra gli sviluppi della transizione energetica nei comuni e nei cantoni della Svizzera. Qual è lo stato del vostro comune nell'ambito auto elettriche, energia solare, riscaldamento rinnovabile, consumo di elettricità e produzione di elettricità rinnovabile? Date un'occhiata ai dati relativi al vostro comune.

Questi dati sono pubblicati sotto la licenza Creative Commons [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/deed.it). Possono essere utilizzati e distribuiti liberamente. Se pubblicati, è necessario indicare il nome __Reporter Energetico__ come fonte e __geoimpact__ e __SvizzeraEnergia__ come collaboratori. Nel caso di contenuti online, deve essere fornito anche il link al [Reporter Energetico](https://www.reporterenergetico.ch).

Il file __energyreporter_latest.zip__ contiene i progressi attuali di tutti i comuni, i cantoni e la Svizzera in formato CSV (compresso). Per maggiori informazioni sulla raccolta dati e sulle voci in essa contenute, consultare la pagina delle informazioni sui dati.

Il file __energyreporter_historized.zip__ contiene l'andamento temporali mensile a partire dall'inizio del Reporter Energetico (1° marzo 2021) con i progressi di tutti i comuni, i cantoni, e della Svizzera in formato CSV (compresso). Per maggiori informazioni sulla raccolta dati e sulle voci in essa contenute, consultare la pagina delle informazioni sui dati.

energia

display_name: energia

energie

display_name: energie

energie-rinnovabili

display_name: energie-rinnovabili

energies-renouvelables

display_name: energies-renouvelables

energiewende

display_name: energiewende

energy

display_name: energy

energy-transition

display_name: energy-transition

erneuerbare-energien

display_name: erneuerbare-energien

renewable-energies

display_name: renewable-energies

tournant-energetique

display_name: tournant-energetique

transizione-energetica

display_name: transizione-energetica

fr: Reporter Énergie

de: Energie Reporter

en: Energy Reporter

it: Reporter Energetico

ener

fr: Énergie

geoimpact

fr: geoimpact AG

de: geoimpact AG

en: geoimpact AG

it: geoimpact AG

fr: Nous captons l'idée et l'intention d'un changement et relions les personnes qui veulent faire bouger les choses. Une équipe motivée s'est donné pour mission de développer un logiciel innovant pour la planification systématique des énergies renouvelables dans toute la Suisse. Pour que nous soyons tous - citoyens, planificateurs et maîtres d'ouvrage - à un clic du prochain pas vers l'avenir.

en: We capture the thought and intention of change and connect the people who want to make a difference. A motivated team has made it their mission to develop innovative software for the systematic planning of renewable energies throughout Switzerland. So that all of us - citizens, planners and builders - are just one click away from the next step into the future.

de: Wir fangen den Gedanken und die Absicht einer Veränderung ein und verbinden die Menschen, die etwas bewegen wollen. Ein motiviertes Team hat es sich zur Aufgabe gemacht, innovative Software zur schweizweiten systematischen Planung von erneuerbaren Energien zu entwickeln. Damit wir alle - Bürger, Planer und Bauherren - nur einen Klick vom nächsten Schritt in die Zukunft entfernt sind.

it: Catturiamo il pensiero e l'intenzione del cambiamento e colleghiamo le persone che vogliono fare la differenza. Un team motivato ha fatto la sua missione di sviluppare un software innovativo per la pianificazione sistematica delle energie rinnovabili in tutta la Svizzera. In modo che tutti noi - cittadini, pianificatori e sviluppatori - siamo solo un click di distanza dal prossimo passo verso il futuro.


perimeter-terrassenreben-ur

agri

fr: Agriculture, pêche, sylviculture et alimentation

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

en: Agriculture, fisheries, forestry and food

it: Agricoltura, pesca, silvicoltura e prodotti alimentari

regi

fr: Régions et villes

de: Regionen und Städte

en: Regions and cities

it: Regioni e città

title_for_slug: perimeter-terrassenreben-ur

fr: perimetre geodonnees-de-base

de: perimeter geobasisdaten

en: perimeter official-geodata

it: perimetro geodati-di-base

label: Web GIS Client des Kanton Uri. Die Daten können direkt via dem Portal in den unterschiedlichsten Datenformaten heruntergeladen werden.

label: geocat.ch permalink

state: active

type: dataset

fr: WMS-Dienst des Kanton Uri

de: WMS-Dienst des Kanton Uri

en: WMS-Dienst des Kanton Uri

it: WMS-Dienst des Kanton Uri

format: WMS

fr: WFS-Dienst des Kanton Uri

de: WFS-Dienst des Kanton Uri

en: WFS-Dienst des Kanton Uri

it: WFS-Dienst des Kanton Uri

format: WFS

fr: Als Terrassenlagen gelten Rebflächen ab 30 Prozent natürlicher Hangneigung, welche mit Stützmauern regelmässig abgestuft sind. Im Kanton Uri gibt es zur Zeit keine Terrassenreben. Der Dateninhalt dieses Datensatzes ist somit leer.

spatial: Canton of Uri (UR)

geoinformation-kanton-uri

de: Lisag AG, Geoinformation Kanton Uri

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

political_level: canton

kanton-uri

capacity: public

type: organization

approval_status: approved

value: Uri-Kt - Geocat Harvester

fr: Perimeter Terrassenreben (UR)

de: Perimeter Terrassenreben (UR)

en: Perimeter Terrassenreben (UR)

it: Perimeter Terrassenreben (UR)


jagdbanngebiete-kantonal-ur

envi

fr: Environnement

de: Umwelt

en: Environment

it: Ambiente

title_for_slug: jagdbanngebiete-kantonal-ur

fr: district-franc geodonnees-de-base

de: jagdbanngebiet geobasisdaten

en: game-reserve official-geodata

it: bandita-di-caccia geodati-di-base

fr: Dieser Datensatz enthält die Jagdbanngebiete des Kanton Uris (CH168) Die Jagdbanngebiet des Bundes können bei Bedarf über den Geodatenkatalog als WMS eingebunden werden.

fr: Jagdbanngebiete kantonal (UR)

de: Jagdbanngebiete kantonal (UR)

en: Jagdbanngebiete kantonal (UR)

it: Jagdbanngebiete kantonal (UR)


fr: Im Baumkatasterplan sind alle, seit 1995 bestehenden oder gefällten Bäume auf Gemeinde Liegenschaften der Gemeinde Altdorf eingezeichnet. Der Baumkatasterplan dient zur Planung der Pflege- und Unterhaltsarbeiten.

fr: Baumkataster

de: Baumkataster

en: Baumkataster

it: Baumkataster


educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

en: Education, culture and sport

it: Istruzione, cultura e sport

ener

de: Energie

en: Energy

it: Energia

fr: Die Versorgungsgebiete bezeichnen und bestimmen die Netzgebiete der im Kanton Uri tätigen Stromnetzbetreiber gemäss Stromversorgungsgesetz (StromVG) Ein Netzgebiet ist die räumliche Ausdehnung des Stromnetzes des jeweiligen Netzbetreibers, an dem Endverbraucher angeschlossen sind. Ziel der Netzzuteilung ist die vollständige Abdeckung des gesamten Kantonsgebiets ohne verwaiste Gebiete. Aus rechtlicher Sicht ist die Netzzuteilung eine Konzession die den Netzbetreiber berechtigt und verpflichtet, das jeweilige Netzgebiet mit Strom zu versorgen. Private Haushalte verwenden die niedrigste Spannungsebene (Netzebene 7) und industrielle Verbraucher höhere Spannungsebenen (Netzebene 3 und 5).

fr: Stromversorgungssicherheit: Netzebene 7 (UR)


de: larmempfindlichkeitsstufe geobasisdaten

fr: Ab der öffentlichen Auflage werden gemäss Lärmschutz-Verordnung (LSV, SR 814.41) für alle Nutzungszonen Lärmempfindlichkeitsstufen dargestellt. Es werden die Empfindlichkeitsstufen keine ES, ES I, ES II, ES III und ES IV unterschieden. Ausserdem können Teile von Nutzungszonen der ES I und der ES II der nächst höheren Stufe zugeordnet werden, wenn sie mit Lärm vorbelastet sind.


statische-waldgrenzen-projektiert-ur

title_for_slug: statische-waldgrenzen-projektiert-ur

fr: Ab der öffentlicher Auflage zeigt der Layer: Gemäss der Kantonalen Waldverordnung (KWV), Artikel 11, ist entlang von Bauzonen, die an Wald grenzen oder in Zukunft grenzen sollen und in Gebieten, in denen nach dem kantonalen Richtplan eine Zunahme des Waldes verhindert werden soll, eine Waldfeststellung vorzunehmen. Der kantonale Richtplan schreibt vor, dass nebst den Waldgrenzen entlang der Bauzone auch entlang von landwirtschaftlichen Nutzflächen (Hügelzone bis Bergzone 4), die an Wald grenzen, eine statische Waldgrenze festgelegt werden soll. Die statische Waldgrenze stellt dabei eine definitive Trennlinie zwischen dem Wald und den Bauzonen und zwischen dem Wald und den landwirtschaftlichen Nutzflächen dar.

fr: Statische Waldgrenzen projektiert (UR)

de: Statische Waldgrenzen projektiert (UR)

en: Statische Waldgrenzen projektiert (UR)

it: Statische Waldgrenzen projektiert (UR)


versickerung

ener

fr: Énergie

regi

fr: Régions et villes

title_for_slug: versickerung

fr: Das Regenwasser soll möglichst am Ort seines Anfalls über grosse Flächen und in kleinen Mengen abgeführt werden. Optimal ist die Versickerung über natürliche, unbefestigte Flächen sowie über wasserdurchlässige Anlagen wie Kiesplätze, Schotterrasen und Pflastersysteme. Den besten Schutz für das Grundwasser bietet eine belebte und begrünte Humusschicht über dem gewachsenen Boden. Diese Geodaten zeigen wo das Wasser wie gut Versickern kann und ob allenfalls Einschränkungen die Versickerung beeinträchtigen.

fr: Versickerung

de: Versickerung

en: Versickerung

it: Versickerung


bff-vernetzung-ur

agri

fr: Agriculture, pêche, sylviculture et alimentation

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

title_for_slug: bff-vernetzung-ur

fr: WMS-Dienst des Kanton Uri

fr: WFS-Dienst des Kanton Uri

fr: Vernetzungsprojekte haben zum Ziel, die natürliche Artenvielfalt zu erhalten und zu fördern, indem Biodiversitätsförderflächen (BFF) zu Gunsten ausgewählter Arten angelegt, aufgewertet und gepflegt werden. Vernetzungsprojekte behandeln schwerpunktmässig die landwirtschaftliche Nutzfläche und ihre biologische Vielfalt. Es werden aber auch andere Nutzungen in die Überlegungen mit einbezogen. Vernetzungsbeiträge können jedoch nur für Elemente der landwirtschaftlichen Nutzfläche geltend gemacht werden.

fr: BFF Vernetzung (UR)

de: BFF Vernetzung (UR)

en: BFF Vernetzung (UR)

it: BFF Vernetzung (UR)


de: klima luft meteorologie raumplanung umweltbeobachtung siedlung

protocol: https

de: Datenshop

de: Produktansicht Geodatenshop

format: SERVICE

de: Die Daten zeigen ein vertikales Höhenprofil des nächtlichen Windfelds und der nächtlichen Lufttemperatur um 4 Uhr morgens als Resultate der FITNAH3D-Modellierung. Sie sind explizit für die Erarbeitung von mikroklimatischen Analysen gedacht.

spatial: Kanton Luzern

fr: Géoinformation du canton de Lucerne

de: Geoinformation Kanton Luzern

en: Geoinformation Canton of Lucerne

it: Geoinformazione del Cantone di Lucerna

fr: La géoinformation du canton de Lucerne est responsable de la collecte, du traitement et de la gestion des données à référence spatiale. Elle dirige, coordonne et surveille les travaux de la géoinformation et de la mensuration officielle.

en: Geoinformation of the Canton of Lucerne is responsible for the collection, processing and management of spatial data. It manages, coordinates and monitors the work of geoinformation and of the cadastral surveying.

de: Die Geoinformation des Kantons Luzern ist für die Erhebung, Verarbeitung und Verwaltung von raumbezogenen Daten zuständig. Sie leitet, koordiniert und überwacht die Arbeiten der Geoinformation und der amtlichen Vermessung.

it: La Geoinformation del Cantone di Lucerna è responsabile della raccolta, dell'elaborazione e della gestione dei dati territoriali. Gestisce, coordina e monitora il lavoro della geoinformazione e della misurazione ufficiale.

value: LU-Kt - Geocat Harvester

de: Klimaanalysekarte (KAK): Vertikalprofile Nacht


bewirtschaftungseinheit-ur

agri

en: Agriculture, fisheries, forestry and food

it: Agricoltura, pesca, silvicoltura e prodotti alimentari

regi

de: Regionen und Städte

title_for_slug: bewirtschaftungseinheit-ur

de: WMS-Dienst des Kanton Uri

de: WFS-Dienst des Kanton Uri

fr: Die Bewirtschaftungseinheiten zeigen auf, durch welchen Betrieb die entsprechende Fläche bewirtschaftet wird. Die Betriebsstandorte sind ebenfalls ersichtlich.

geoinformation-kanton-uri

de: Lisag AG, Geoinformation Kanton Uri

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

fr: Bewirtschaftungseinheit (UR)

de: Bewirtschaftungseinheit (UR)

en: Bewirtschaftungseinheit (UR)

it: Bewirtschaftungseinheit (UR)


maintainer: Matthias Haeni

en: swiss-forest-lab long-term meteo par climate-change temperature relative-humidity wind-speed precipitation meteorology

en: Data plot of the field station (ISF)

media_type: application/pdf

en: Data overview for air temperature, relative humidity, precipitation, PAR, wind speed.

format: PDF

mimetype: application/pdf

en: Site aerial photo (Isone)

en: Site aerial photo from both Isone stations. Source: Google. 2016. Site aerial photo from both Isone stations. Retrieved November 11, 2016, from https://www.google.ch/maps

mimetype: image/jpeg

en: Site photo of the forest station (ISB)

en: Site photo of the forest station from below (viewing upwards the slope).

en: Forest station data (ISB)

media_type: text/csv

en: Data file.

format: CSV

mimetype: text/csv

en: Field station data (ISF)

en: Site photo of the field station (ISF)

en: Site photo of the field station from the side.

en: Data plot of the forest station (ISB)

en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for two meteorological stations in Isone in Switzerland where one station is located within a natural broad-leaved forest stand (ISB) with European beech (_Fagus sylvatica_; 70-100 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, ISF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Isone is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed

educ

fr: Éducation, culture et sport

de: Bildung, Kultur und 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

key: guid

key: uri

value: Envidat Harvester

en: Isone, Switzerland: Long-term forest meteorological data from the Long-term Forest Ecosystem Research Programme (LWF), from 1997 onwards


maintainer: EnviDat Support

en: snow-water-equivalent snow-ice-temperature snow-stratigraphy snow-density weisfluhjoch

en: README

media_type: text/plain

en: README file giving use metadata.

format: TXT

en: WFJ Snow Profiles 1999-2014

media_type: application/zip

en:
Biweekly manual snow profiles from Weissfluhjoch, Davos, Switzerland.
Version: 2015-09-14T16:25

mimetype: application/zip

en: Dataset of manual bi-weekly snow profiles from Weissfluhjoch, Davos, Switzerland. Typical snow profile measurements and observations are included (temperature, density, grain size, grain type, hardness, wetness), following the guidelines of the The International Classification for Seasonal Snow on the Ground (ICSSG) [Fierz, C., Armstrong, R.L., Durand, Y., Etchevers, P., Greene, E., McClung, D.M., Nishimura, K., Satyawali, P.K. and Sokratov, S.A. 2009. The International Classification for Seasonal Snow on the Ground. IHP-VII Technical Documents in Hydrology N°83, IACS Contribution N°1, UNESCO-IHP, Paris].

snow-density

display_name: snow-density

snow-ice-temperature

display_name: snow-ice-temperature

snow-stratigraphy

display_name: snow-stratigraphy

snow-water-equivalent

display_name: snow-water-equivalent

weisfluhjoch

display_name: weisfluhjoch

educ

en: Education, culture and sport

en: Manual bi-weekly snow profiles from Weissfluhjoch, Davos, Switzerland


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

en: Lake water level scenarios CH2018

en: Lake water level scenarios for Lake Walen, Lake Zurich, Lake Brienz and Lake Thun.

format: XLS

en: Lake outflow scenarios CH2018

en: Lake outflow scenarios for Lake Walen, Lake Zurich, Lake Brienz and Lake Thun.

en: Lake characteristics

en: Lake characteristics: stage-area relation for Lake Walen, Lake Zurich, Lake Brienz and Lake Thun, stage-discharge relations for the unregulated Lake Walen and semi-regulated Lake Brienz and, lake level management rules for the two regulated lakes Zurich and Thun.

en:
The dataset "Lake_climate_change_scenarios_CH2018" provides simulation-based climate change impact scenarios for perialpine lakes in Switzerland. These transient future scenarios were produced by combining the hydrologic model PREVAH with the hydrodynamic model MIKE11 to simulate daily lake water level (Lake_water_level_scenarios_CH2018.xls) and outflow scenarios (Lake_outflow_scenarios_CH2018.xls) from 1981 to 2099, using the Swiss Climate Change Scenarios CH2018. The future scenarios contain a total of 39 model members for three Representative Concentration Pathways, RCP2.6 (concerted mitigation efforts), RCP4.5 (limited climate mitigation) and RCP8.5 (no climate mitigation measures). These scenarios result from the study titled "Lower summer lake levels in regulated perialpine lakes, caused by climate change," authored by Wechsler et al. in 2023.

The dataset emphasizes four specific Swiss lakes, each subject to different degrees of lake level management: an unregulated lake (Lake Walen), a semi-regulated lake (Lake Brienz), and two regulated lakes (Lake Zurich and Lake Thun).

In addition, the file (Lake_characteristics.xlsx) includes data used in the modeling process, encompassing the stage-area relation for the four lakes, stage-discharge relations for the unregulated and semi-regulated lakes, and lake level management rules for the two regulated lakes.

hydrologic-and-hydrodynamic-modelling

display_name: hydrologic-and-hydrodynamic-modelling

lake-level-regulation

display_name: lake-level-regulation

perialpine-lakes

display_name: perialpine-lakes

switzerland

display_name: switzerland


fr: zonenplan bauzone grundplan nutzungsplan flachennutzungsplan

fr: WFS-Dienst des Kantons Schwyz

de: WFS-Dienst des Kantons Schwyz

en: WFS-Dienst des Kantons Schwyz

it: WFS-Dienst des Kantons Schwyz

fr: Nutzungsplanung kommunal Gemeinde Alpthal

fr: Nutzungsplanung kommunal. Geobasisdatensätze Nr. 73D - 73F gemäss KGeoiV Kanton Schwyz (SRSZ 214.111). Dieser Datensatz ist ÖREB-relevant. D.h. diejenigen Objekte, die die Verbindlichkeit "Nutzungsplanfestlegung" aufweisen, sind auch im ÖREB-Kataster ausgewiesen. Unter den Fachdaten sind alle Objekte aufgeführt, also auch Objekte mit den Verbindlichkeiten "orientierend", "hinweisend" und "wegleitend".

spatial: Alpthal

amt-geoinformation-sz

de: Amt für Geoinformation Kanton Schwyz

de: Das Amt für Geoinformation verwaltet und veröffentlicht die Geodaten des Kantons Schwyz als OGC-Geodienste und als Datei-Download. Alle aktuell verfügbaren Geodaten, welche dem OGD unterliegen, sind hier aufgeführt.

value: SZ-Kt Geoinformation - Geocat Harvester


maintainer: Roksolana Petrovska

en: acer lar fagus regeneration shade-tolerance mortality-rate dominance

en: Mortality of regeneration

en: Acer platanoides, Acer pseudoplatanus and Fagus sylvatica living and dead juveniles (0-500 cm in height) grown in the deep shade of a prime beech-dominated forest.

en: The R-script of survival analysis for accelerated failure time model

en:
 One individual per species, vitality class (low and high) and height class (eight classes: 0–10, 11–20, 21–35, 36–60, 61–90, 91–130, 131–200 and 201–500 cm) was randomly selected and harvested in each of the six plots. This resulted in a sample of 82, 80 and 89 living individuals of A. platanoides, A. pseudoplatanus and F. sylvatica, respectively.

 Additionally stems of dead Acer spp. and F. sylvatica trees that had died within the last three years (2015–2018) were randomly harvested, matching the height classes of the harvested living trees wherever possible. In total, 179 dead young trees (60 A. platanoides, 72 A. pseudoplatanus and 47 F. sylvatica) were collected.

 Variables:
* species_code: a_pla - Acer platanoides, a_pse - Acer pseudoplatanus, f_syl - Fagus sylvatica
* species: as above
* dummy: 0 - living individual, 1 - dead individual
* LAR_cm2_g: leaf area ratio or ratio of leaf area to total plant biomass, [cm2/g]
* tree_age: in years
* avg_ring_micron: average width of the last 5 rings in tree life excluding the last ring
* dry_mass_g: aboveground and belowground biomass
* DLI: direct light index (measured only under living individuals)
* BLI: diffuse light index (measured only under living individuals)
* GLI: global light index

acer

display_name: acer

dominance

display_name: dominance

fagus

display_name: fagus

lar

display_name: lar

mortality-rate

display_name: mortality-rate

regeneration

display_name: regeneration

shade-tolerance

display_name: shade-tolerance

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: Mortality of regeneration: Acer spp. and Fagus sylvatica


en: growing-season-length temperature relative-humidity soil-water-balance growing-degree-days solar-radiation precipitation

en: CHELSA-BIOCLIM+

en: Global extented set of bioclimatic variables at different temporal (e.g. monthly, annual, long term normals) resolution in Geotiff format.

format: GeoTIFF

en: CHELSA-BIOCLIM+ Technical Documentation

en: Technical documentation document including the variable names, units, scaling, offset, and background.

en: A multitude of physical and biological processes on which ecosystems and human societies depend are governed by climatic conditions. Understanding how these processes are altered by climate change is central to mitigation efforts. Based on mechanistically downscaled climate data, we developed a set of climate-related variables at yet unprecedented spatiotemporal detail as a basis for environmental and ecological analyses. We created gridded data for near-surface relative humidity (hurs), cloud area fraction (clt), near-surface wind speed (sfcWind), vapour pressure deficit (vpd), surface downwelling shortwave radiation (rsds), potential evapotranspiration (pet), climate moisture index (cmi), and site water balance (swb), at a monthly temporal and 30 arcsec spatial resolution globally starting 1980 until 2018. At the same spatial resolution, we further estimated climatological normals of frost change frequency (fcf), snow cover days (scd), potential net primary productivity (npp), growing degree days (gdd), and growing season characteristics for the periods 1981-2010, 2011-2040, 2041-2070, and 2071-2100, considering three shared socioeconomic pathways (SSP126, SSP370, SSP585) and five Earth system models. Time-series variables showed high accuracy when validated against observations from meteorological stations. Climatological normals were also highly correlated to observations although some variables showed notable biases, e.g., snow cover days (scd). Together, the data sets presented here allow improving our understanding of patterns and processes that are governed by climate, including the impact of recent and future climate changes on the world’s ecosystems and associated services to societies.

growing-degree-days

display_name: growing-degree-days

growing-season-length

display_name: growing-season-length

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

soil-water-balance

display_name: soil-water-balance

solar-radiation

display_name: solar-radiation

temperature

display_name: temperature

educ

en: Education, culture and sport

en: CHELSA-BIOCLIM+ A novel set of global climate-related predictors at kilometre-resolution


maintainer: Virginie Marques

en: fjord biodiversity marine fish plankton environmental-dna dna-metabarcoding

en: Metabarcoding data

en: Raw metabarcoding data for both primers (teleo and 18S) and corresponding file to perform the demultiplexing and primer trimming

en: Code, data and figures

en: Here there are all the data and code to reproduce the figures and analysis presented in the paper, with a README.md file

en:
This dataset contains the raw environmental DNA data associated with the publication *Environmental drivers of eukaryotic plankton and fish biodiversity in an Arctic fjord* in the journal Polar Biology (2023).

 Methods

**Sampling**
We sampled the Lilliehöök fjord on the west coast of Spitsbergen (Svalbard, Norway) over 3 days from 3 to 5 of August 2021. Samples were taken from the glacier front up to the fjord mouth of the Krossfjorden system, around 30 km long, after the Lilliehöök fjord merged with the mouth of Möller fjord. The fjord’s maximum depth has been recorded at 373 m (Svendsen et al. 2002) and has no sill at its entrance, thereby facilitating water exchange with the open ocean of the West Spitsbergen Current. We used a research vessel to sample 5 sites for a total of 15 samples, sampling 3 depths per site (3-m, chlorophyll a maximum and 85-m, unless sea floor was shallower). Shallow and intermediate samples between 3-m and 12-m represent ~35-L of water filtered in-situ using long tubing and a peristaltic pump, and all other deeper samples were taken from a total of 3 Niskin bottles (General Oceanics), representing 22-L of water sampled per sample. Water was filtered through a VigiDNA filtration capsule (SPYGEN) with a 0.20-µm pore size using an Athena peristaltic pump (Proactive Environmental Products, Bradenton, Florida) with a flow rate of ~1-L/min. Each sample was handled with single use tubing and gloves.

**Molecular**
To perform the amplification, we used two sets of primers: teleo (forward: ACACCGCCCGTCACTCT, reverse: CTTCCGGTACACTTACCATG; Valentini et al. 2016) and the universal eukaryotic 1389F/1510R primer pair, amplifying the V9-18S rDNA gene (Amaral-Zettler et al. 2009) (forward: TTGTACACACCGCCC, reverse: CCTTCYGCAGGTTCACCTAC).

 Data content:

+ Metabarcoding data: This zip file contains the 2 sequencing libraries filtered to only retain the samples used in the present study.
+ Code, data and figure: This zip file contains all data and code to reproduce the figures and the analysis in the study, with an associated README explaining the content of each folder.

 Additional informations
For more details, please see the Methods in the associated publication: DOI: 10.1007/s00300-023-03187-9.

biodiversity

display_name: biodiversity

dna-metabarcoding

display_name: dna-metabarcoding

environmental-dna

display_name: environmental-dna

fish

display_name: fish

fjord

display_name: fjord

marine

display_name: marine

plankton

display_name: plankton

en: Data: Environmental drivers of eukaryotic plankton and fish biodiversity in an Arctic fjord


en: European Snow Booklet public metadata

en:
The core of the European Snow Booklet (ESB), the country reports of 38 European countries, are based on information and metadata on snow measurements collected through a comprehensive survey, the ESB Questionnaire, between August 2017 and March 2018. The station metadata (for example location, elevation, measurement start date) from each country was provided by one or several institutions responsible for snow observations. By answering the questionnaire the contacts agreed that the information and metadata provided could be presented in the ESB. For cases where institutions indicated that information on station locations could be made publicly available, the metadata for the variables snow depth (HS), depth of snowfall (HN) and water equivalent of the snow cover (SWE), is additionally provided here for download (METADATA.xlsx).
Please note that not all institutions gave permission to publish their station metadata. This metadata has to be requested from the non-personal institution contacts provided in the METADATA.xlsx file. In some cases, however, no institutional contact is available and thus the contact of the country representative who filled in the questionnaire is used.
For current, updated station metadata we refer to the (non-personal) institutional contacts provided in METADATA.xlsx and/or the institution webpages. Note, however, that we cannot guarantee for completeness of the dataset for all countries because operational networks are prone to changes.

en: COST European Snow Booklet (ESB) - DORA Link

media_type: text/html

en: DORA Link of the COST European Snow Booklet (ESB).

format: HTML

en: COST European Snow Booklet (ESB)

en: Please find here the web version of the COST European Snow Booklet (ESB).

en: European Snow Booklet unpublished metadata

en: The entire station metadata of all European institutions that contributed data is stored in METADATA_unpublished.xlsx. This file, however, cannot be accessed, since not all institutions gave permission to publish their station metadata. If you wish to access the metadata, please send a request to marty@slf.ch stating clearly why you want to access these metadata. NOTE: in this file ONLY station metadata (Lat/Lon/Altitude) is given, NO measured snow depth data.

en: List of authors and list of the editorial board of the European Snow Booklet

en:
Here you can find the list of all lead authors of the different chapters of the European Snow Booklet (ESB).
In addition a list of the editorial board that reviewed the ESB is given.

en:
The European Snow Booklet (ESB) is a book of reference for snow measurements that has been produced through collaboration with many European snow practitioners and snow scientists in the framework of the European Cooperation in Science and Technology (COST) Action ES1404 “A European network for a harmonised monitoring of snow for the benefit of climate change scenarios, hydrology and numerical weather prediction (HarmoSnow)”. The ESB provides a unique collection of information about operational snow observations in the European countries and the methods used to perform basic measurements of snow on the ground: snow depth (HS), depth of snowfall (HN), water equivalent of the snow cover (SWE) and presence of snow on the ground (PSG). Information and station metadata (for example location, elevation) for these basic snow variables were collected through a comprehensive survey, the ESB questionnaire between August 2017 and March 2018. Numerous institutions of 38 European countries provided detailed information describing the status of the operational snow observations and the methods used at the time of the survey. Based on the information provided, a country report was written for each European country. Similarities and differences among the countries, that is, the choice of snow variables to be measured, the measurement principles applied, the number of stations, or the spatial and elevational station distribution are pointed out. Thus the collection of country reports demonstrates the relevance of snow measurements for each country. Thus, the intention of the ESB is to foster better knowledge transfer regarding snow measurements between the snow science and operational communities and to improve the communication of information to the general public.

For detailed information on the European countries, we refer to the ESB, which can be downloaded here (envidat.ch). Please note that the ESB is not a living document and information and station metadata are from August 2017 till March 2018, except for Latvia (metadata updated in December 2018).

depth-of-snowfall

display_name: depth-of-snowfall

harmonisation-of-snow-measurements

display_name: harmonisation-of-snow-measurements

snow-depth

display_name: snow-depth

snow-measurement-methods

display_name: snow-measurement-methods

water-equivalent-of-the-snow-cover

display_name: water-equivalent-of-the-snow-cover

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: European Snow Booklet – an Inventory of Snow Measurements in Europe


en: switzerland bioenergy manure biogas review

en: Production de biogaz à partir d’engrais de ferme en Suisse

en: L'objectif de ce livre blanc est de fournir aux décideurs, aux administrations et aux parties prenantes les résultats de recherche les plus récents afin de promouvoir l'utilisation optimale de la bioénergie issue des engrais de ferme dans la transition énergétique suisse. A cette fin, les résultats du centre de compétence suisse pour la recherche en bioénergie - SCCER BIOSWEET - sont résumés et présentés dans un contexte plus large. Si rien d'autre n'est mentionné, les résultats se réfèrent à la Suisse et, dans le cas de la matière première, aux potentiels nationaux de biomasse.

bioenergy

display_name: bioenergy

biogas

display_name: biogas

manure

display_name: manure

review

display_name: review

switzerland

display_name: switzerland

educ

en: Education, culture and sport


en: longwave-radiation forest fractional-snow shading shortwave-radiation

en: Radiation Data 25.4.2018

en:
Spatiotemporal incoming/outgoing shortwave and longwave radiation as well as sunlit and shaded-snow view fractions below an evergreen forest stand in the Swiss alps. Data was collected on 25th of April 2018 along a 48m long, heterogeneous forest stand under partial snow cover conditions.

The presented data is used and further described in the following paper: Malle et al. (2019). Shading by Trees and Fractional Snow Cover control the Subcanopy Radiation Budget. Journal of Geophysical Research Atmospheres. DOI:10.1029/2018JD029908.

en: Radiation Data 18.04.2019

en:
Spatiotemporal incoming/outgoing shortwave and longwave radiation as well as sunlit and shaded-snow view fractions below an evergreen forest stand in the Swiss alps. Data was collected on 18th of April 2018 along a 48m long, heterogeneous forest stand under full snow cover conditions.

The presented data is used and further described in the following paper: Malle et al. (2019). Shading by Trees and Fractional Snow Cover control the Subcanopy Radiation Budget. Journal of Geophysical Research Atmospheres. DOI:10.1029/2018JD029908.

en: Seasonal sub-canopy radiation data

en:
Seasonal, spatially aggregated incoming and outgoing shortwave radiation below an evergreen forest stand collected with a cable car system.

The presented data is used and further described in the following paper: Malle et al. (2019). Shading by Trees and Fractional Snow Cover Control the Subcanopy Radiation Budget. Journal of Geophysical Research Atmospheres. DOI:10.1029/2018JD029908.

en: Sky-view fraction along the cablecar transect

en: Data is used and described in the following paper: Malle et al. (2019). Shading by Trees and Fractional Snow Cover control the Subcanopy Radiation Budget. Journal of Geophysical Research. DOI:10.1029/2018JD029908.

mimetype: text/plain

en: This data set consists of incoming and outgoing short- and longwave radiation as well as sunlit-snow-view-fraction as described in the JGR-Atmospheres paper "Shading by trees and fractional snow cover control the sub-canopy radiation budget", by Malle et al. (2019). Data was collected along a 48m long, heterogeneous forest transect between January and June 2018 close to Davos, Switzerland.

forest

display_name: forest

fractional-snow

display_name: fractional-snow

longwave-radiation

display_name: longwave-radiation

shading

display_name: shading

shortwave-radiation

display_name: shortwave-radiation


maintainer: Esther Frei

en: literature-review treeline-ecosystems long-term-experiment mountain-ecology stillberg

en: The Stillberg bibliography (Stillberg_bibliography_v1.zip) comprises a comprehensive list of 276 scientific publications, 91 of them published in peer-reviewed ISI journals (Stillberg_bibliography_data_v1.csv) along with the metadata file (Stillberg_bibliography_metadata_v1.csv). Currently the bibliography comprises literature about the main afforestation experiment, the FACE × warming experiment, the nutrient addition experiment, and the G-TREE experiment, as well as further publications related to the Stillberg research site that have been published until August 2023. The bibliography can be filtered for different categories, e.g., experiment, peer-review, source repository or database, and source title.

en:
 Background information

The Stillberg ecological treeline research site in the Swiss Alps was established in 1975, with the aim to develop ecologically, technically, and economically sustainable reforestation techniques at the treeline to reduce the risk of snow avalanches. In the course of time, additional research aspects gained importance, such as the ecology of the treeline ecotone under global change. Over almost fifty years, research at the Stillberg site combined long-term monitoring of the large-scale high-elevation afforestation with experimental manipulations simulating global change impacts. Besides providing a scientific basis and practical guidelines for high-elevation afforestation, this research has contributed to a comprehensive understanding of ecological processes in the treeline ecotone across different compartments and scales, from individual trees, non-tree vegetation and soils to whole ecosystems, in the context of global change resulting in more than 150 publications.

 Dataset generation

We compiled a comprehensive list of scientific publications covering research at the Stillberg research site by conducting searches in the literature databases Web of Science and Google Scholar, as well as in the Digital Object Repository of the Swiss Federal Institute for Forest, Snow and Landscape Research WSL (DORA). We compiled all publications about the afforestation experiment, the FACE × warming experiment, the nutrient addition experiment, the G-TREE experiment, as well as other studies related to the Stillberg research site.

 Data description

The Stillberg bibliography (Stillberg_bibliography_data_v1.csv) comprises a comprehensive list of 276 scientific publications, 91 of them published in peer-reviewed ISI journals. Currently the bibliography comprises literature about the main afforestation experiment, the FACE × warming experiment, the nutrient addition experiment, and the G-TREE experiment, as well as further publications related to the Stillberg research site that have been published until August 2023. The bibliography can be filtered for different categories, e.g., experiment, peer-review, source repository or database, and source title. The bibliography is described in a metadata file (Stillberg_bibliography_metadata_v1.csv). The bibliography along with the metadata file are provided in a ZIP-folder (Stillberg_bibliography_v1.zip).

literature-review

display_name: literature-review

long-term-experiment

display_name: long-term-experiment

mountain-ecology

display_name: mountain-ecology

stillberg

display_name: stillberg

treeline-ecosystems

display_name: treeline-ecosystems

envidat

en: EnviDat: the Environmental Data Portal

en: Bibliography of the long-term treeline research site Stillberg, Switzerland


en: cryosphere rain-on-snow uncertainty snow-water-equivalent climate-change-impact natural-climate-variability

en: climate realizations

en: The dataset contains for three variables (snow water equivalent, surface water input and liquid precipitation) 50 realizations of current and future climate periods for two time horizons (mid end end of century), two emission senarions (RCP 4.5 and 8.5) and 10 climate model chains (all EUR11 chains within CH2018). To quantify natural climate variability for projections of snow conditions and resulting rain-on-snow (ROS) flood events, a weather generator was applied to simulate inherently consistent climate variables for multiple realizations of current and future climates at 100 m spatial and hourly temporal resolution over a 12 x 12 km high-altitude study area in the Swiss Alps. The output of the weather generator was used as input for subsequent simulations with an energy balance snow model. The data was extracted in 2021 from original model output.

climate-change-impact

display_name: climate-change-impact

cryosphere

display_name: cryosphere

natural-climate-variability

display_name: natural-climate-variability

rain-on-snow

display_name: rain-on-snow

snow-water-equivalent

display_name: snow-water-equivalent

uncertainty

display_name: uncertainty

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: Multiple realizations of daily snow water equivalent, surface water input and liquid precipitation projections for mid- and late-century


en: land-use-transformations land-use-simulations land-use-change spatial-planning digital-zoning-plans

en: Legend simulated maps

en:
Table of Content: 1. General context of the data set "LUSzoning”; 2. Background and aims of the study using the data set LUSzoning; 3. The data set LUSzoning.
1. General context of the data set "LUSzoning".
The data set "LUSzoning" stands for Land-use simulations integrating zoning regulations in Spanish functional urban areas. The data set has been generated as part of the CONCUR research project (https://www.wsl.ch/en/projects/concur.html) led by Dr. Anna M. Hersperger and funded by the Swiss National Science Foundation (ERC TBS Consolidator Grant (ID: BSCGIO 157789) for the period 2016-2021. The CONCUR research project is interdisciplinary and aims to develop a scientific basis for adequately integrating spatial policies (in this case, digital zoning plans) into quantitative land-change modelling approaches at the urban regional level.
2.	Background and aims of the study using the data set “LUSzoning”.
As part of the CONCUR project, a specific task was to integrate planning spatial policies in land-change modelling. Planning can be implemented in modelling using either hard or gradual restrictions. Different studies have addressed the inclusion of spatial planning policies in land-use change modelling. However, the integration of zoning constraints is generally established as hard or Boolean-based restrictions (e.g., whether urban development is allowed or not), while not accounting for the spatial heterogeneity or gradual characteristics within planning zones (e.g., whether planning regulations allow low, medium or high urban density), though these could improve real patterns simulations in urban areas. We assume Spanish General Zoning plans were suitable to explore the integration of planning into land-change modelling as soft constrains because they define land-use intensities in the buildable zoning areas. In light of the above considerations, the overall aim of the study was to model urban land-use changes using a multi-scenario approach that integrates digitized zoning plans for the Functional Urban Areas (FUAs) of Madrid, Barcelona, Valencia, and Zaragoza. The following specific objectives were addressed: i) to analyse the role of planning by defining three future scenarios that integrate digitized zoning plans and one scenario that assumes almost no planning intervention; ii) to introduce zoning constraints that reflect different degrees of urban densities; iii) to generate a transferable spatially-explicit modelling framework to integrate planning into land-use change simulations.
Four future land-use demands scenarios were defined for the FUAs. Storylines were created considering probable development scenarios related to zoning plans, current Spanish legislation and sustainability goals defined along two axes: a high market-oriented vs. high planning-intervention axis, and an axis of short-term economic growth vs. long-term sustainable growth. The sustainable development scenario (S1) is characterized by low gross floor area (GFA) growth that is limited to areas that are currently under development according to zoning plans. The business-as-usual scenario (S2) is characterized by medium GFA growth in the range of on-going trends. The strong development scenario (S3) is characterized by high GFA growth rates. Growth is restricted to buildable areas without urbanization project designated in zoning plans. The unrestricted development scenario (S4) prioritizes a high degree of market liberalization characterized by high GFA growth that surpasses population demands. S4 follows a rapid economic growth pattern with almost no planning intervention.
3.	 The data set “LUSzoning”.
The dataset includes 16 .asc raster layers providing the simulated land-uses under four defined scenarios for Barcelona, Madrid, Valencia and Zaragoza Functional Urban Areas (FUAs) for 2030. The simulated raster layers were created using CLUMondo simulation framework and have a spatial resolution of 30m. The .asc layers name include the name of the FUA and scenario number. For example, the output from simulating the urban growth for the city of Zaragoza under Scenario 2 is named “Zaragoza_S2.tif”. Furthermore, a .txt file named “Legend.txt” includes the numeric value of the land-use and the category of land-use that represents to interpret the .asc raster layers. The name of the land-use classes is a reclassification of the Urban Atlas 2012 land-use classes within the four Spanish FUAs analyzed.

digital-zoning-plans

display_name: digital-zoning-plans

land-use-change

display_name: land-use-change

land-use-simulations

display_name: land-use-simulations

land-use-transformations

display_name: land-use-transformations

spatial-planning

display_name: spatial-planning

educ

en: Education, culture and sport

en: LUSzoning: Land-use simulations integrating zoning regulations in Spanish functional urban areas