ozon

title_for_slug: ozon

fr: Service WMS-IFDG, couche "Ozone"

de: WMS-BGDI Dienst, Layer "Ozon"

en: WMS-FSDI service, layer "Ozone"

it: Servizio WMS-IFDG, strato "Ozono"

fr: Service WMTS-IFDG, couche , Layer "Ozone"

de: WMTS-BGDI Dienst, Layer "Ozon"

en: WMTS-FSDI service, layer "AOzone"

it: Servizio WMTS-IFDG, strato "Ozono"

fr: STAC Browser

de: STAC Browser

en: STAC Browser

it: STAC Browser

fr: Serveur de téléchargement de geo.admin.ch

de: Download Server von geo.admin.ch

en: Download server from geo.admin.ch

it: Server di download di geo.admin.ch

fr: BAFU Website

de: BAFU Website

en: BAFU Website

it: BAFU Website

fr: Lien vers la distribution des données

de: Link zum Datenbezug

it: Link per le fonti dei dati

fr: L'ozone troposphérique a des effets négatifs sur la santé humaine et sur la végétation. Des taux élevés entraînent notamment des irritations des voies respiratoires et du tissu pulmonaire. Pour les plantes, des concentrations élevées d'ozone provoquent des dommages visibles sur les feuilles et les aiguilles et peuvent entraîner des pertes de récolte. L'ozone troposphérique est un polluant secondaire qui se forme sous l'effet de la lumière du soleil à partir d'oxydes d'azote et de composés organiques volatils. La série temporelle montre les cartes modélisées des percentiles 98 mensuels maximaux depuis 1990 sur une grille de 200 m, puis de 100 m à partir de 2020. Localement, la concentration de Oᴣ peut différer des données modélisées. Les pixels isolés ne doivent pas être utilisés pour l'évaluation de sites individuels. La valeur limite annuelle pour le percentile 98 des valeurs semi-horaires mensuelles de l’Oᴣ fixée dans l'ordonnance sur la protection de l'air est de 100 µg/m³.

de: Bodennahes Ozon hat negative Auswirkungen auf die menschliche Gesundheit wie auch auf die Vegetation. Hohe Belastungen führen insbesondere zu Reizungen der Atemwege und des Lungengewebes. Bei Pflanzen verursachen hohe Ozonkonzentrationen sichtbare Schäden an Blättern und Nadeln und können zu Ernteeinbussen führen. Bodennahes Ozon ist ein Sekundärschadstoff und entsteht unter Einwirkung von Sonnenlicht aus Stickoxiden und flüchtigen organischen Verbindungen. Die Zeitreihe zeigt die modellierten Karten der maximalen monatlichen 98 Perzentilen seit 1990 im 200 m Raster, ab 2020 im 100 m Raster. Lokal kann die Ozonkonzentration von den modellierten Daten abweichen. Einzelne Pixel sind nicht für die Bewertung von Einzelstandorten heranzuziehen. Der in der Luftreinhalte-Verordnung festgelegte Grenzwert für das 98-Perzentil der monatlichen Halbstundenwerte liegt bei 100 µg/m³.

en: Ground-level ozone has negative impacts on human health and vegetation. High levels in particular lead to irritation of the respiratory tract and lung tissue. In plants, high ozone concentrations cause visible damage to leaves and needles and can lead to harvest losses. Ground-level ozone is a secondary pollutant that is formed by the action of sunlight on nitrogen oxides and volatile organic compounds. The time series shows the modeled maps of the maximum monthly 98th percentiles since 1990 in a 200 m grid, and in a 100 m grid from 2020. The Oᴣ concentrations may deviate locally from the modeled data. Individual pixels should not be used to evaluate individual locations. The limit for 98th percentile of the monthly half-hourly Oᴣ values set in the Ordinance on Air Pollution Control is 100 µg/m³.

it: L'ozono troposferico ha effetti negativi sia sulla salute umana che sulla vegetazione. In particolare, livelli elevati causano irritazione delle vie respiratorie e dei tessuti polmonari. Nelle piante, alte concentrazioni di ozono causano danni visibili alle foglie e agli aghi e possono portare alla perdita del raccolto. L'ozono troposferico è un inquinante secondario e si forma dagli ossidi di azoto e dai composti organici volatili sotto l'influenza della luce solare. Le serie temporali mostrano le mappe modellate dei valori medi annuali dal 1990 su una griglia di 200 m, dal 2020 in poi su una griglia di 100 m. Localmente, la concentrazione di Oᴣ può discostarsi dai dati modellati. I singoli pixel non devono essere utilizzati per la valutazione delle singole località. Il valore limite per il 98° percentile dei valori mensili su mezz'ora de l’Oᴣ indicato nell'Ordinanza contro l’inquinamento atmosferico è di 100 µg/m³.

name: Bundesamt für Umwelt / Abteilung Luftreinhaltung und Chemikalien

fr: Ozone

de: Ozon

en: Ozone

it: Ozono


stickstoffdioxid

regi

fr: Régions et villes

de: Regionen und Städte

en: Regions and cities

it: Regioni e città

envi

fr: Environnement

de: Umwelt

en: Environment

it: Ambiente

title_for_slug: stickstoffdioxid

label: Link zum Fachportal

label: geocat.ch permalink

state: active

type: dataset

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

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

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

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

fr: Aperçu map.geo.admin.ch

de: Vorschau map.geo.admin.ch

en: Preview map.geo.admin.ch

it: Previsione map.geo.admin.ch

format: SERVICE

fr: Service WMS-IFDG, couche "Dioxyde d'azote"

de: WMS-BGDI Dienst, Layer "Stickstoffdioxid"

en: WMS-FSDI service, layer "Nitrogen dioxide"

it: Servizio WMS-IFDG, strato "Diossido d'azoto"

format: WMS

fr: Service WMTS-IFDG, couche , Layer "Dioxyde d'azote"

de: WMTS-BGDI Dienst, Layer "Stickstoffdioxid"

en: WMTS-FSDI service, layer "Nitrogen dioxide"

it: Servizio WMTS-IFDG, strato "Diossido d'azoto"

format: WMTS

format: HTML

en: Link for download

fr: Le terme « oxydes d’azote » (NOx) recouvre aussi bien le dioxyde d’azote (NO₂) que le monoxyde d’azote (NO). Ces composés sont produits lors de la combustion de carburants et de combustibles, surtout lorsque celle-ci se fait à haute température. Le trafic routier est la première source d’oxydes d’azote. Ceux-ci sont des précurseurs importants pour la formation de précipitations acides, de particules fines secondaires et – avec les composés organiques volatils – d'ozone troposphérique/smog estival. Comme l’ammoniac, ils créent des poussières fines et contribuent à l’eutrophisation des écosystèmes. Le dioxyde d’azote (NO₂) et d’autres gaz irritants favorisent par ailleurs les maladies des voies respiratoires, particulièrement chez les enfants. La série temporelle montre les cartes modélisées des moyennes annuelles depuis 1990 sur une grille de 200 m, puis de 100 m à partir de 2020. Localement, la concentration de NO₂ peut différer des données modélisées. Les pixels isolés ne doivent pas être utilisés pour l'évaluation de sites individuels. La valeur limite annuelle pour le NO2 fixée dans l'ordonnance sur la protection de l'air est de 30 µg/m³.

de: Unter dem Begriff Stickoxide (NOx) werden Stickstoffdioxid (NO₂) und Stickstoffmonoxid (NO) zusammengefasst. Sie entstehen beim Verbrennen von Brenn- und Treibstoffen, insbesondere bei hohen Verbrennungstemperaturen. Hauptquelle ist der Strassenverkehr. Sie sind eine wichtige Vorläufersubstanz für die Bildung von sauren Niederschlägen, sekundärem Feinstaub und – zusammen mit den flüchtigen organischen Verbindungen – von bodennahem Ozon/Sommersmog. Zusammen mit Ammoniak bilden sie Feinstaub und tragen zur Überdüngung von Ökosystemen bei. Stickstoffdioxid und andere Reizgase begünstigen ausserdem Erkrankungen der Atemwege. Kinder sind speziell betroffen. Die Zeitreihe zeigt die modellierten Karten der Jahresmittelwerte seit 1990 im 200 m Raster, ab 2020 im 20 m Raster. Lokal kann die NO₂-Konzentration von den modellierten Daten abweichen. Einzelne Pixel sind nicht für die Bewertung von Einzelstandorten heranzuziehen. Der in der Luftreinhalte-Verordnung festgelegte Jahresgrenzwert für NO₂ liegt bei 30 µg/m³.

en: The term "nitrogen oxides" (NOx) embraces nitrogen dioxide (NO₂) and nitrogen monoxide (NO). Nitrogen oxides form in the combustion of motor and heating fuels, especially when combustion is at high temperatures. Road transport is the main source. They are an important precursor in the formation of acid rain, secondary particulate matter and - in combination with volatile organic compounds - photo-oxidants (ozone/summer smog). Along with ammonia they form particulate matter and contribute to the over-fertilisation of ecosystems. Nitrogen dioxide and other irritant gases are also a causal factor in diseases of the respiratory tract. Children are particularly susceptible. The time series shows the modeled maps of the annual mean values since 1990 in a 200 m grid, and in a 100 m grid from 2020. The NO₂ concentrations may deviate locally from the modeled data. Individual pixels should not be used to evaluate individual locations. The annual limit for NO₂ set in the Ordinance on Air Pollution Control is 30 µg/m³.

it: Gli ossidi di azoto (NOx) comprendono il diossido di azoto (NO₂) e il monossido di azoto (NO) che si formano nei processi di combustione di carburanti e combustibili, in particolare ad alte temperature. La fonte principale è costituita dal traffico stradale. Gli ossidi di azoto sono importanti precursori delle precipitazioni acide, delle polveri fini secondarie e, insieme ai composti organici volatili, dell’ozono/smog estivo. Insieme all’ammoniaca formano l’ozono e contribuiscono all’eccessiva concimazione degli ecosistemi. Il diossido di azoto e altri gas irritanti favoriscono inoltre le malattie alle vie respiratorie, in particolare nei bambini. Le serie temporali mostrano le mappe modellate dei valori medi annuali dal 1990 su una griglia di 200 m, dal 2020 in poi su una griglia di 100 m. Localmente, la concentrazione di NO₂ può discostarsi dai dati modellati. I singoli pixel non devono essere utilizzati per la valutazione delle singole località. Il valore limite annuale per l’NO₂ indicato nell'Ordinanza contro l’inquinamento atmosferico è di 30 µg/m³.

spatial: Schweiz

bundesamt-fur-umwelt-bafu

fr: Office fédéral de l'environnement OFEV

de: Bundesamt für Umwelt BAFU

en: Federal Office for the Environment FOEN

it: Ufficio federale dell'ambiente UFAM

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

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

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

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

political_level: confederation

type: organization

approval_status: approved

value: BAFU - Geocat Harvester

fr: Dioxyde d'azote

de: Stickstoffdioxid

en: Nitrogen dioxide

it: Diossido di azoto


fr: Service WMS-IFDG, couche "Concentration d`ammoniac"

de: WMS-BGDI Dienst, Layer "Feinstaub_pm10"

en: WMS-FSDI service, layer "Ammonia Concentration"

it: Servizio WMS-IFDG, strato "Concentrazione di ammoniaca"

fr: Service WMTS-IFDG, couche , Layer "Concentration d'ammoniac"

de: WMTS-BGDI Dienst, Layer "Feinstaub_pm10"

en: WMTS-FSDI service, layer "Ammonia Concentration"

it: Servizio WMTS-IFDG, strato "Concentrazione di ammoniaca"

fr: Le terme PM10 désigne les poussières fines en suspension d’un diamètre aérodynamique inférieur à 10 micromètres. La poussière peut provenir de processus industriels ou artisanaux de production ou de combustion et de processus mécaniques (abrasion, resuspension de poussières) ou se constituer à partir de précurseurs (dioxyde de soufre, oxyde d’azote, ammoniac, composés organiques volatils). Tous les groupes émetteurs, comme les véhicules motorisés, les ménages, l’industrie et l’agriculture, contribuent à augmenter la charge en poussières fines. Outre le fait qu’ils entraînent diverses maladies des voies respiratoires et du système cardio-vasculaire, les PM10 accroissent le risque de cancer et le taux de mortalité. La série temporelle montre les cartes modélisées des moyennes annuelles depuis 1998 sur une grille de 200 m, puis de 100 m à partir de 2020. Localement, la concentration de PM10 peut différer des données modélisées. Les pixels isolés ne doivent pas être utilisés pour l'évaluation de sites individuels. La valeur limite annuelle pour les PM10 fixée dans l'ordonnance sur la protection de l'air est de 20 µg/m³

de: Unter PM10 versteht man Feinstaubpartikel, die kleiner sind als 10 Mikrometer. Dieser Staub entsteht bei industriellen und gewerblichen Produktionsprozessen, Verbrennungsprozessen, mechanischen Prozessen (Abrieb, Aufwirbelung) sowie durch sekundäre Bildung (aus Schwefeldioxiden, Stickoxiden, Ammoniak, flüchtigen organischen Verbindungen). Alle Emittentengruppen wie der Verkehr, die Haushalte, die Industrie und die Landwirtschaft tragen zur Feinstaubbelastung bei. PM10 führt zu Erkrankungen der Atemwege, des Herz-Kreislaufsystems, zu einer Zunahme des Krebsrisikos und der Sterberate. Die Zeitreihe zeigt die modellierten Karten der Jahresmittelwerte seit 1998 im 200 m Raster, ab 2020 im 100 m Raster. Lokal kann die PM10-Konzentration von den modellierten Daten abweichen. Einzelne Pixel sind nicht für die Bewertung von Einzelstandorten heranzuziehen. Der in der Luftreinhalte-Verordnung festgelegte Jahresgrenzwert für PM10 liegt bei 20 µg/m³.

en: "Particulate matter" (PM10) refers to particles less than 10 micrometres in diameter. These particles are formed during industrial and commercial production processes, combustion processes, mechanical processes (abrasion, whirling-up) and through secondary formation (from sulfur dioxide, nitrogen oxides, ammonia, and volatile organic compounds). All emission sources such as transport, households, industry and agriculture contribute towards PM10 pollution, which causes disorders of the respiratory tract and cardiovascular system and increases the cancer risk and mortality rate. The time series shows the modeled maps of the annual mean values since 1998 in a 200 m grid, and in a 100 m grid from 2020. PM10 concentrations may deviate locally from the modeled data. Individual pixels should not be used to evaluate individual locations. The annual limit for PM10 set in the Ordinance on Air Pollution Control is 20 µg/m³.

it: Vengono definite polveri fini (PM10) le particelle di polvere di dimensione inferiore a 10 micrometri. Questa polvere si forma nei processi di produzione industriali e artigianali, nei processi di combustione, nei processi meccanici (abrasione, sollevamento di polvere), nonché tramite processi secondari (da anidride solforosa, ossidi di azoto, ammoniaca e da composti organici volatili). All’inquinamento da polveri fini contribuiscono tutti i gruppi di emittenti quali il traffico, le economie domestiche, l’industria e l’agricoltura. Le PM10 provocano affezioni delle vie respiratorie e del sistema cardiocircolatorio nonché un aumento del rischio di cancro e della mortalità. Le serie temporali mostrano le mappe modellate dei valori medi annuali dal 1998 su una griglia di 200 m, dal 2020 in poi su una griglia di 100 m. Localmente, la concentrazione di PM10 può discostarsi dai dati modellati. I singoli pixel non devono essere utilizzati per la valutazione delle singole località. Il valore limite annuale per il PM10 indicato nell'Ordinanza contro l’inquinamento atmosferico è di 20 µg/m³.

fr: Poussières fines PM10

de: Feinstaub PM10

en: Particulate matter PM10

it: Polveri fini PM10


fr: Service WMS-IFDG, couche "Poussières fines_PM25"

de: WMS-BGDI Dienst, Layer "Feinstaub_PM25"

en: WMS-FSDI service, layer "Particulate matter_PM25"

it: Servizio WMS-IFDG, strato "Polveri fini_PM25"

fr: Service WMTS-IFDG, couche , Layer "Poussières fines_PM25"

de: WMTS-BGDI Dienst, Layer "Feinstaub_PM25"

en: WMTS-FSDI service, layer "Particulate matter_PM25"

it: Servizio WMTS-IFDG, strato "Polveri fini_PM25"

fr: STAC Browser

de: STAC Browser

en: STAC Browser

it: STAC Browser

fr: Serveur de téléchargement de geo.admin.ch

de: Download Server von geo.admin.ch

en: Download server from geo.admin.ch

it: Server di download di geo.admin.ch

fr: BAFU Website

de: BAFU Website

en: BAFU Website

it: BAFU Website

fr: Lien vers la distribution des données

de: Link zum Datenbezug

it: Link per le fonti dei dati

fr: Le terme PM2.5 désigne les poussières fines en suspension d’un diamètre aérodynamique inférieur à 2.5 micromètres. La poussière peut provenir de processus industriels ou artisanaux de production ou de combustion et de processus mécaniques (abrasion, resuspension de poussières) ou se constituer à partir de précurseurs (dioxyde de soufre, oxydes d’azote, ammoniac, composés organiques volatils). Tous les groupes émetteurs, comme les véhicules motorisés, les ménages, l’industrie et l’agriculture, contribuent à augmenter la charge en poussières fines. Outre le fait qu’ils entraînent diverses maladies des voies respiratoires et du système cardio-vasculaire, les PM2.5 accroissent le risque de cancer et le taux de mortalité. La série temporelle montre les cartes modélisées des moyennes annuelles depuis 2015 sur une grille de 100 m. Localement, la concentration de PM2.5 peut différer des données modélisées. Les pixels isolés ne doivent pas être utilisés pour l'évaluation de sites individuels. La valeur limite annuelle pour les PM2.5 fixée dans l'ordonnance sur la protection de l'air est de 10 µg/m³.

de: Unter PM2.5 versteht man Feinstaubpartikel, die kleiner sind als 2.5 Mikrometer. Dieser Staub entsteht bei industriellen und gewerblichen Produktionsprozessen, Verbrennungsprozessen, mechanischen Prozessen (Abrieb, Aufwirbelung) sowie durch sekundäre Bildung (aus Schwefeldioxid, Stickoxide, Ammoniak, flüchtige organische Verbindungen). Alle Emittentengruppen wie der Verkehr, die Haushalte, die Industrie und die Landwirtschaft tragen zur Feinstaubbelastung bei. PM2.5 führt zu Erkrankungen der Atemwege, des Herz-Kreislaufsystems, zu einer Zunahme des Krebsrisikos und der Sterberate. Die Zeitreihe zeigt die modellierten Karten der Jahresmittelwerte seit 2015 im 100 m Raster. Lokal kann die PM2.5-Konzentration von den modellierten Daten abweichen. Einzelne Pixel sind nicht für die Bewertung von Einzelstandorten heranzuziehen. Der in der Luftreinhalte-Verordnung festgelegte Jahresgrenzwert für PM2.5 liegt bei 10 µg/m³.

en: "Particulate matter" (PM2.5) refers to particles less than 2.5 micrometres in diameter. These particles are formed during industrial and commercial production processes, combustion processes, mechanical processes (abrasion, whirling-up) and through secondary formation (from sulfur dioxide, nitrogen oxides, ammonia, and volatile organic compounds). All emission sources such as transport, households, industry and agriculture contribute towards PM2.5 pollution, which causes disorders of the respiratory tract and cardiovascular system and increases the cancer risk and mortality rate. The time series shows the modeled maps of the annual mean values since 2015 in a 100 m grid. PM2.5 concentrations may deviate locally from the modeled data. Individual pixels should not be used to evaluate individual locations. The annual limit for PM2.5 set in the Ordinance on Air Pollution Control is µg/m³.

it: Vengono definite polveri fini (PM2.5) le particelle di polvere di dimensione inferiore a 2.5 micrometri. Questa polvere si forma nei processi di produzione industriali e artigianali, nei processi di combustione, nei processi meccanici (abrasione, sollevamento di polvere), nonché tramite processi secondari (da anidride solforosa, ossidi di azoto, ammoniaca e da composti organici volatili). All’inquinamento da polveri fini contribuiscono tutti i gruppi di emittenti quali il traffico, le economie domestiche, l’industria e l’agricoltura. Le PM2.5 provocano affezioni delle vie respiratorie e del sistema cardiocircolatorio nonché un aumento del rischio di cancro e della mortalità. Le serie temporali mostrano le mappe modellate dei valori medi annuali dal 2015 su una griglia di 100 m. Localmente, la concentrazione di PM2.5 può discostarsi dai dati modellati. I singoli pixel non devono essere utilizzati per la valutazione delle singole località. Il valore limite annuale per il PM2.5 indicato nell'Ordinanza contro l’inquinamento atmosferico è di 10 µg/m³.

fr: Poussières fines PM2.5

de: Feinstaub PM2.5

en: Particulate matter PM2.5

it: Polveri fini PM2.5


schwefeldioxid

regi

fr: Régions et villes

de: Regionen und Städte

en: Regions and cities

it: Regioni e città

envi

fr: Environnement

de: Umwelt

en: Environment

it: Ambiente

title_for_slug: schwefeldioxid

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

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

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

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

fr: Aperçu map.geo.admin.ch

de: Vorschau map.geo.admin.ch

en: Preview map.geo.admin.ch

it: Previsione map.geo.admin.ch

fr: Service WMS-IFDG, couche "Dioxyde de soufre"

de: WMS-BGDI Dienst, Layer "Schwefeldioxid"

en: WMS-FSDI service, layer "Sulfur dioxide"

it: Servizio WMS-IFDG, strato "Anidride solforosa"

fr: Service WMTS-IFDG, couche , Layer "Dioxyde de soufre"

de: WMTS-BGDI Dienst, Layer "Schwefeldioxid"

en: WMTS-FSDI service, layer "Sulfur dioxide"

it: Servizio WMTS-IFDG, strato "Anidride solforosa"

fr: Forti carichi di anidride solforosa (SO₂) possono interessare soprattutto le vie respiratorie; soggetti particolarmente a rischio sono gli asmatici e chi è affetto da malattie croniche delle vie respiratorie. L'SO₂ è tossico per le piante. È anche un importante precursore per la formazione di precipitazioni acide e di particolato secondario. Le emissioni di anidride solforosa derivano dalla combustione di combustibili contenenti zolfo e da alcuni processi industriali. Le serie temporali mostrano le mappe modellate dei valori medi annuali dal 1980 su una griglia di 200 m, dal 2020 in poi su una griglia di 100 m. Localmente, la concentrazione di SO₂ può discostarsi dai dati modellati. I singoli pixel non devono essere utilizzati per la valutazione delle singole località. Il valore limite annuale per l’SO₂ indicato nell'Ordinanza contro l’inquinamento atmosferico è di 30 µg/m³.

de: Höhere Belastungen von Schwefeldioxid (SO₂) können insbesondere die Atemwege betreffen; Asthmatiker und Menschen mit chronischer Erkrankung der Atemwege sind speziell gefährdet. SO₂ ist giftig für Pflanzen. Es ist zudem eine wichtige Vorläufersubstanz für die Bildung von sauren Niederschlägen und sekundärem Feinstaub. Schwefeldioxid-Emissionen entstehen bei der Verbrennung schwefelhaltiger Brenn- und Treibstoffe sowie bei einigen industriellen Prozessen. Die Zeitreihe zeigt die modellierten Karten der Jahresmittelwerte seit 1980 im 200 m Raster, ab 2020 im 100 m Raster. Lokal kann die SO₂-Konzentration von den modellierten Daten abweichen. Einzelne Pixel sind nicht für die Bewertung von Einzelstandorten heranzuziehen. Der in der Luftreinhalte-Verordnung festgelegte Jahresgrenzwert für SO₂ liegt bei 30 µg/m³.

en: Higher concentrations of sulfur dioxide (SO₂) can have especially negative effects on the respiratory tract; asthmatics and people with chronic respiratory diseases are particularly at risk. SO₂ is toxic to plants. It is also an important precursor for the formation of acid precipitation and secondary particulate matter. Sulphur dioxide emissions are produced by the combustion of sulfur-containing fuels and by some industrial processes. The time series shows the modeled maps of the annual mean values since 1980 in a 200 m grid, and in a 100 m grid from 2020. The SO₂ concentrations may deviate locally from the modeled data. Individual pixels should not be used to evaluate individual locations. The annual limit for SO₂ set in the Ordinance on Air Pollution Control is 30 µg/m³.

fr: Dioxyde de soufre

de: Schwefeldioxid

en: Sulfur dioxide

it: Anidride solforosa


de: naturrisiko naturrisikoanalyse luftbewegung wind sturm bgdi-bundesgeodaten-infrastruktur

fr: Service WMS-IFDG, couche "Tempêtes pression dynamique 300"

de: WMS-BGDI Dienst, Layer "Sturmgefährdung Staudruck 300"

en: WMS-FSDI service, layer "Windstorm Dynamic Pressure 300"

it: Servizio WMS-IFDG, strato "Tempesta pressione dinamica 300"

fr: Service WMTS-IFDG, couche , Layer "Tempêtes pression dynamique 300"

de: WMTS-BGDI Dienst, Layer "Sturmgefährdung Staudruck 300"

en: WMTS-FSDI service, layer "Windstorm Dynamic Pressure 300"

it: Servizio WMTS-IFDG, strato "Tempesta pressione dinamica 300"

de: Link für Datenbezug

en: Link for download

fr: RESTful API de geo.admin.ch

de: RESTful API von geo.admin.ch

en: RESTful API from geo.admin.ch

it: RESTful API da geo.admin.ch

format: API

fr: Les cartes des dangers relatifs aux tempêtes montrent les pointes des rafales ainsi que leurs pressions dynamiques avec leurs marges d’erreurs. Elles fournissent une base qui permet d’évaluer le danger régional. À ce titre, la référence concernant les pressions dynamiques (norme SIA 261 annexe E) n’est pas remplacée. Le danger de tempête est calculé sur la base de 83 périodes de tempêtes hivernales, enregistrées de 1871 à 2011, ainsi que de l’ensemble des données globales « 20th Century Reanalysis ». Les calculs ne tiennent pas compte des influences locales telles que les tempêtes estivales ou les bourrasques d’orage. Les indications fournies pour les pointes des rafales ne doivent donc pas être interprétées comme des valeurs exactes et précises géographiquement. Elles ne remplacent en aucun cas une évaluation détaillée d’un lieu spécifique. Dans des sites exposés de haute montagne notamment (p. ex. le Jungfraujoch), les pointes des rafales sont souvent sous-estimées.

de: Die Karten der Sturmgefährdung zeigen die Böenspitzen sowie den daraus abgeleiteten Staudruck mit den entsprechenden Unsicherheiten. Die Karten stellen eine Grundlage dar, um die regionale Sturmgefährdung einzuschätzen, wobei das Referenzwerk des Staudrucks (SIA Norm 261 Anhang E) dadurch nicht ersetzt wird. Berechnungsgrundlagen der Sturmgefährdung bilden 83 Wintersturmperioden zwischen 1871 und 2011 sowie der globale Datensatz „20th Century Reanalysis“. Für die Berechnungen nicht berücksichtigt wurden lokale Einflüsse sowie Sommerstürme und Gewitterböen. Die Werte für Böenspitzen sind deshalb nicht als punktgenaue, exakte Werte zu interpretieren und ersetzen keine standortspezifischen Gutachten. Vor allem für exponierte, hochalpine Standorte (z. B. Jungfraujoch) werden die Böenspitzen unterschätzt.

en: The Windstorm Risk Maps show peak wind gusts and their dynamic pressure and the corresponding uncertainties. The maps provide a country-wide basis for the estimation of the regional windstorm risk, however they do not replace the Dynamic Pressure Reference (Standard SIA 261 Annex E). The windstorm risk is calculated on the basis of 83 winter storm periods between 1871 and 2011 and the 20th Century Reanalysis global data. Local influences, summer storms and thunder squalls were not taken into account in the calculations. The values specified for the peak wind gusts should not, therefore, be interpreted as absolutely accurate values and do not replace any location-specific reports. The peak wind gusts are underestimated for exposed Alpine locations (e.g. Jungfraujoch), in particular.

it: Le carte sul pericolo di tempeste mostrano le velocità massime delle raffiche di vento e le relative pressioni dinamiche compreso il margine d’errore. Le carte costituiscono una base di dati riferita all’intero territorio nazionale che consente di valutare il pericolo di tempeste a livello regionale, ma non sostituiscono tuttavia le pressioni dinamiche di riferimento (norme SIA 261 allegato E). Per il calcolo del pericolo di tempeste sono utilizzati i dati riferiti a 83 periodi di tempeste invernali registrati fra il 1871 e il 2011 e l’insieme dei dati globali «20th Century Reanalysis ». Nei calcoli non sono stati considerati né gli influssi locali né le tempeste estive o le raffiche temporalesche. I valori relativi alle velocità massime delle raffiche di vento non devono quindi essere interpretati come puntuali ed esatti e non sostituiscono in nessun caso le valutazioni specifiche a una determinata zona. I valori relativi in particolare a località di alta montagna esposte (p. es. la Jungfraujoch) sono sovente sottovalutati.

bundesamt-fur-umwelt-bafu

fr: Office fédéral de l'environnement OFEV

de: Bundesamt für Umwelt BAFU

en: Federal Office for the Environment FOEN

it: Ufficio federale dell'ambiente UFAM

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

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

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

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

fr: Tempêtes: pression dynamique avec période de retour de 300 ans

de: Sturmgefährdung: Staudruck mit Wiederkehrperiode 300 Jahre

en: Windstorm: Dynamic Pressure at return period 300 years

it: Tempesta: pressione dinamica con periodo di ritorno di 300 anni


regi

de: Regionen und Städte

de: naturrisikoanalyse naturrisiko luftbewegung wind sturm bgdi-bundesgeodaten-infrastruktur

fr: Service WMS-IFDG, couche "Tempêtes rafales 50"

de: WMS-BGDI Dienst, Layer "Sturmgefährdung Böenspitzen 50"

en: WMS-FSDI service, layer "Windstorm Gusts 50"

it: Servizio WMS-IFDG, strato "Tempesta raffiche 50"

fr: Service WMTS-IFDG, couche , Layer "Tempêtes rafales 50"

de: WMTS-BGDI Dienst, Layer "Sturmgefährdung Böenspitzen 50"

en: WMTS-FSDI service, layer "Windstorm Gusts 50"

it: Servizio WMTS-IFDG, strato "Tempesta raffiche 50"

fr: Lien vers la distribution des données

it: Link per le fonti dei dati

fr: Tempêtes: rafales avec période de retour de 50 ans

de: Sturmgefährdung: Böenspitzen mit Wiederkehrperiode 50 Jahre

en: Windstorm: Gusts at return period 50 years

it: Tempesta: raffiche con periodo di ritorno di 50 anni


sturmgefahrdung

fr: Régions et villes

en: Regions and cities

it: Regioni e città

envi

fr: Environnement

de: Umwelt

en: Environment

it: Ambiente

title_for_slug: sturmgefahrdung

de: naturrisikoanalyse naturrisiko luftbewegung sturm wind bgdi-bundesgeodaten-infrastruktur

fr: Tempêtes

de: Sturmgefährdung

en: Windstorm

it: Tempesta


de: naturrisikoanalyse luftbewegung sturm wind naturrisiko bgdi-bundesgeodaten-infrastruktur

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

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

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

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

fr: Aperçu map.geo.admin.ch

de: Vorschau map.geo.admin.ch

en: Preview map.geo.admin.ch

it: Previsione map.geo.admin.ch

fr: Service WMS-IFDG, couche "Tempêtes pression dynamique 50"

de: WMS-BGDI Dienst, Layer "Sturmgefährdung Staudruck 50"

en: WMS-FSDI service, layer "Windstorm Dynamic Pressure 50"

it: Servizio WMS-IFDG, strato "Tempesta pressione dinamica 50"

fr: Service WMTS-IFDG, couche , Layer "Tempêtes pression dynamique 50"

de: WMTS-BGDI Dienst, Layer "Sturmgefährdung Staudruck 50"

en: WMTS-FSDI service, layer "Windstorm Dynamic Pressure 50"

it: Servizio WMTS-IFDG, strato "Tempesta pressione dinamica 50"

fr: Tempêtes: pression dynamique avec période de retour de 50 ans

de: Sturmgefährdung: Staudruck mit Wiederkehrperiode 50 Jahre

en: Windstorm: Dynamic Pressure at return period 50 years

it: Tempesta: pressione dinamica con periodo di ritorno di 50 anni


fr: Service WMS-IFDG, couche "Tempêtes pression dynamique 30"

de: WMS-BGDI Dienst, Layer "Sturmgefährdung Staudruck 30"

en: WMS-FSDI service, layer "Windstorm Dynamic Pressure 30"

it: Servizio WMS-IFDG, strato "Tempesta pressione dinamica 30"

fr: Service WMTS-IFDG, couche , Layer "Tempêtes pression dynamique 30"

de: WMTS-BGDI Dienst, Layer "Sturmgefährdung Staudruck 30"

en: WMTS-FSDI service, layer "Windstorm Dynamic Pressure 30"

it: Servizio WMTS-IFDG, strato "Tempesta pressione dinamica 30"

de: Link für Datenbezug

en: Link for download

fr: RESTful API de geo.admin.ch

de: RESTful API von geo.admin.ch

it: RESTful API da geo.admin.ch

de: Die Karten der Sturmgefährdung zeigen die Böenspitzen sowie den daraus abgeleiteten Staudruck mit den entsprechenden Unsicherheiten. Die Karten stellen eine Grundlage dar, um die regionale Sturmgefährdung einzuschätzen, wobei das Referenzwerk des Staudrucks (SIA Norm 261 Anhang E) dadurch nicht ersetzt wird. Berechnungsgrundlagen der Sturmgefährdung bilden 83 Wintersturmperioden zwischen 1871 und 2011 sowie der globale Datensatz „20th Century Reanalysis“. Für die Berechnungen nicht berücksichtigt wurden lokale Einflüsse sowie Sommerstürme und Gewitterböen. Die Werte für Böenspitzen sind deshalb nicht als punktgenaue, exakte Werte zu interpretieren und ersetzen keine standortspezifischen Gutachten. Vor allem für exponierte, hochalpine Standorte (z. B. Jungfraujoch) werden die Böenspitzen unterschätzt.

bundesamt-fur-umwelt-bafu

de: Bundesamt für Umwelt BAFU

fr: Tempêtes: pression dynamique avec période de retour de 30 ans

de: Sturmgefährdung: Staudruck mit Wiederkehrperiode 30 Jahre

en: Windstorm: Dynamic Pressure at return period 30 years

it: Tempesta: pressione dinamica con periodo di ritorno di 30 anni


regi

de: Regionen und Städte

de: naturrisiko naturrisikoanalyse luftbewegung sturm wind bgdi-bundesgeodaten-infrastruktur

fr: Service WMS-IFDG, couche "Tempêtes pression dynamique 100"

de: WMS-BGDI Dienst, Layer "Sturmgefährdung Staudruck 100"

en: WMS-FSDI service, layer "Windstorm Dynamic Pressure 100"

it: Servizio WMS-IFDG, strato "Tempesta pressione dinamica 100"

fr: Service WMTS-IFDG, couche , Layer "Tempêtes pression dynamique 100"

de: WMTS-BGDI Dienst, Layer "Sturmgefährdung Staudruck 100"

en: WMTS-FSDI service, layer "Windstorm Dynamic Pressure 100"

it: Servizio WMTS-IFDG, strato "Tempesta pressione dinamica 100"

en: RESTful API from geo.admin.ch

fr: Les cartes des dangers relatifs aux tempêtes montrent les pointes des rafales ainsi que leurs pressions dynamiques avec leurs marges d’erreurs. Elles fournissent une base qui permet d’évaluer le danger régional. À ce titre, la référence concernant les pressions dynamiques (norme SIA 261 annexe E) n’est pas remplacée. Le danger de tempête est calculé sur la base de 83 périodes de tempêtes hivernales, enregistrées de 1871 à 2011, ainsi que de l’ensemble des données globales « 20th Century Reanalysis ». Les calculs ne tiennent pas compte des influences locales telles que les tempêtes estivales ou les bourrasques d’orage. Les indications fournies pour les pointes des rafales ne doivent donc pas être interprétées comme des valeurs exactes et précises géographiquement. Elles ne remplacent en aucun cas une évaluation détaillée d’un lieu spécifique. Dans des sites exposés de haute montagne notamment (p. ex. le Jungfraujoch), les pointes des rafales sont souvent sous-estimées.

en: The Windstorm Risk Maps show peak wind gusts and their dynamic pressure and the corresponding uncertainties. The maps provide a country-wide basis for the estimation of the regional windstorm risk, however they do not replace the Dynamic Pressure Reference (Standard SIA 261 Annex E). The windstorm risk is calculated on the basis of 83 winter storm periods between 1871 and 2011 and the 20th Century Reanalysis global data. Local influences, summer storms and thunder squalls were not taken into account in the calculations. The values specified for the peak wind gusts should not, therefore, be interpreted as absolutely accurate values and do not replace any location-specific reports. The peak wind gusts are underestimated for exposed Alpine locations (e.g. Jungfraujoch), in particular.

it: Le carte sul pericolo di tempeste mostrano le velocità massime delle raffiche di vento e le relative pressioni dinamiche compreso il margine d’errore. Le carte costituiscono una base di dati riferita all’intero territorio nazionale che consente di valutare il pericolo di tempeste a livello regionale, ma non sostituiscono tuttavia le pressioni dinamiche di riferimento (norme SIA 261 allegato E). Per il calcolo del pericolo di tempeste sono utilizzati i dati riferiti a 83 periodi di tempeste invernali registrati fra il 1871 e il 2011 e l’insieme dei dati globali «20th Century Reanalysis ». Nei calcoli non sono stati considerati né gli influssi locali né le tempeste estive o le raffiche temporalesche. I valori relativi alle velocità massime delle raffiche di vento non devono quindi essere interpretati come puntuali ed esatti e non sostituiscono in nessun caso le valutazioni specifiche a una determinata zona. I valori relativi in particolare a località di alta montagna esposte (p. es. la Jungfraujoch) sono sovente sottovalutati.

fr: Office fédéral de l'environnement OFEV

en: Federal Office for the Environment FOEN

it: Ufficio federale dell'ambiente UFAM

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

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

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

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

fr: Tempêtes: pression dynamique avec période de retour de 100 ans

de: Sturmgefährdung: Staudruck mit Wiederkehrperiode 100 Jahre

en: Windstorm: Dynamic Pressure at return period 100 years

it: Tempesta: pressione dinamica con periodo di ritorno di 100 anni


de: Statistisches Jahrbuch der Schweiz 1923

media_type: text/html

mimetype: text/html

fr: Annuaire statistique de la Suisse 1923

media_type: application/pdf

format: PDF

mimetype: application/pdf

basas-statisticas-e-survistas

display_name: basas-statisticas-e-survistas

bases-statistiques-et-generalites

display_name: bases-statistiques-et-generalites

grundlagen-und-ubersichten

display_name: grundlagen-und-ubersichten

statistical-basis-and-overviews

display_name: statistical-basis-and-overviews

gove

fr: Gouvernement et secteur public

de: Regierung und öffentlicher Sektor

en: Government and public sector

it: Governo e settore pubblico

bundesamt-fur-statistik-bfs

fr: Office fédéral de la statistique OFS

de: Bundesamt für Statistik BFS

en: Federal Statistical Office FSO

it: Ufficio federale di statistica UST

fr: L'OFS est le centre de compétence de la statistique publique suisse. Il produit des informations statistiques sur la population, l'économie, la société, la formation et la recherche, le territoire et l'environnement. Ces informations servent à la formation de l’opinion publique. Elles sont un outil de planification et de gouvernance dans tous les domaines de l’action politique et contribuent au bon fonctionnement de notre État moderne et démocratique.

de: Das BFS ist das nationale Kompetenzzentrum der öffentlichen Statistik der Schweiz. Es produziert und publiziert statistische Informationen über den Stand und die Entwicklung von Bevölkerung, Wirtschaft, Gesellschaft, Bildung, Forschung, Raum und Umwelt. Diese Informationen dienen der Meinungsbildung in der Bevölkerung sowie der Planung und Steuerung von zentralen Politikbereichen. Sie leisten einen wichtigen Beitrag für einen modernen, demokratischen Staat.

en: The FSO is Switzerland's national competence centre for official statistics. It produces and publishes statistical information on the status and development of the population, economy, society, education, research, territory and the environment. This information is used for opinion building among the population and for the planning and management of key policy areas. They make an important contribution to a modern, democratic state.

it: L’UST è il centro di competenza nazionale per la statistica pubblica della Svizzera. Produce e pubblica informazioni statistiche sullo stato e sull'evoluzione della popolazione, dell'economia, della società, della formazione, della ricerca, del territorio e dell'ambiente. Queste informazioni servono alla formazione dell'opinione pubblica nonché alla pianificazione e alla gestione in ambiti politici di centrale importanza. Forniscono un importante contributo per uno Stato moderno e democratico.

key: guid

key: uri

value: BFS – DCAT Harvester


elektro-leitungen

educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

en: Education, culture and sport

it: Istruzione, cultura e sport

ener

fr: Énergie

de: Energie

en: Energy

it: Energia

regi

fr: Régions et villes

en: Regions and cities

it: Regioni e città

envi

fr: Environnement

de: Umwelt

en: Environment

it: Ambiente

title_for_slug: elektro-leitungen

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

fr: WMS-Dienst des Kanton Uri

de: WMS-Dienst des Kanton Uri

en: WMS-Dienst des Kanton Uri

it: WMS-Dienst des Kanton Uri

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: Elektro Trasse, Bauwerke und Trassepunkte.

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

value: Uri-Kt - Geocat Harvester

fr: Elektro Leitungen

de: Elektro Leitungen

en: Elektro Leitungen

it: Elektro Leitungen


wasser-leitungen-offentlich

regi

de: Regionen und Städte

title_for_slug: wasser-leitungen-offentlich

fr: In diesem Datensatz werden Leitungen für die Wasserversorgung verwaltet. Im Kanton Uri sind nicht alle Wasserversorgungen digital erfasst. Die Gemeindeverwaltungen oder Wasserversorgungen bestimmen zur Zeit die Verfügbarkeit des öffentlichen oder geschützten Zugangs.

fr: Wasser Leitungen öffentlich

de: Wasser Leitungen öffentlich

en: Wasser Leitungen öffentlich

it: Wasser Leitungen öffentlich


fernwarme-leitungen

title_for_slug: fernwarme-leitungen

fr: Fernwärme Trasse und Leitungspunkt.

de: Fernwärme Trasse und Leitungspunkt.

en: Fernwärme Trasse und Leitungspunkt.

it: Fernwärme Trasse und Leitungspunkt.

fr: Fernwärme Leitungen

de: Fernwärme Leitungen

en: Fernwärme Leitungen

it: Fernwärme Leitungen


swisscom-leitungen

title_for_slug: swisscom-leitungen

fr: Swisscom Leitungen, Bauwerke und Schächte

fr: Swisscom Leitungen

de: Swisscom Leitungen

en: Swisscom Leitungen

it: Swisscom Leitungen


de: abfall altlasten betriebe boden eigentumsbeschrankungoreb risiken umweltbeobachtung umweltschutz wirtschaftliche-aktivitaten

protocol: https

de: Datenshop

de: Produktansicht Geodatenshop

de: Altlasten sind belastete Standorte, die wegen der Auswirkungen auf die Umwelt saniert werden müssen.

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: Kataster der belasteten Standorte (KbS)


envi

de: Umwelt

de: AGIS Direktdownload

de: Ereigniskataster Hochwasser 2005 (Überschwemmte Flächen)

de: AGIS Service Center Kanton Aargau

de: Das AGIS Service Center unterstützt als kantonale Koordinationsstelle die Bereitstellung von Geoinformationen und Metadaten der kantonalen Verwaltung. Die zuständigen kantonalen Fachstellen stellen die öffentlichen Geodaten des Kantons Aargau mittels der Infrastruktur des AGIS Service Center in der Informatik Aargau als Webservices und zum Download bereit.

value: Aargau-Kt - Geocat Harvester


wasserrechte

regi

de: Regionen und Städte

title_for_slug: wasserrechte

de: konzession wasserrecht entnahme ruckgabe kanal wasserrechtskanal stauwehr stauwehrreglement wasserrechtskonzession eheliche-konzession wasserrechtsbezirk wasserrechtsnummer

fr: WFS für Open-Government-Data des Kantons Zürich (OGD ZH WFS)

fr: Öffentliche Oberflächengewässer, Gewässerraum und Wasserrechte

fr: Die konzessionierten Wasserrechte wurden ab 1997 mit den öffentlichen Oberflächengewässern im GIS erfasst und werden seit 1998 als eigener Datensatz in Abstimmung zu den öffentlichen Oberflächengewässern vom AWEL, Abt. Wasserbau nachgeführt. Seit Januar 2022 werden aktive und gelöschte Wasserrechte in getrennten Datensätzen zu Verfügung gestellt. Die Daten sind auf dem SDE Server vom GIS-ZH abgelegt unter: GISZHPUB.WASSERRECHTE_F für die Wasserrechtsweiher (Flächendaten) GISZHPUB.WASSERRECHTE_GELOESCHT_F für die gelöschten Wasserrechtsweiher (Flächendaten) GISZHPUB.WASSERRECHTE_L für die Wasserrechtskanäle und Leitungen (Liniendaten) GISZHPUB.WASSERRECHTE_GELOESCHT_L für die gelöschten Wasserrechtskanäle und Leitungen (Liniendaten) GISZHPUB.WASSERRECHTE_P für die Entnahme- und Rückgabeorte (Punktdaten) GISZHPUB.WASSERRECHTE_GELOESCHT_P für die gelöschten Entnahme- und Rückgabeorte (Punktdaten)

spatial: Kanton Zürich

geoinformation-kanton-zuerich

fr: Département de Géoinformation du Canton de Zurich

de: Geoinformation Kanton Zürich

en: Department of Geoinformation of the Canton of Zurich

it: Dipartimento della geoinformazione del Cantone di Zurigo

fr:
Le département de géomatique est le centre de compétence du system d'information géographique du canton de Zurich.
Nous coordinons l'aquisition des géodonnées d'intérêt commun sur le territoire cantonal et les mettons à disposition des
secteurs public et privé et des particuliers.

en:
The department of geoinformation is the geospatial competency center of the Canton of Zurich.
We coordinate the acquisition of geodata within the cantonal territory and provide public, private, and government sectors with data of outstanding quality.

de: Die Abteilung Geoinformation ist das Kompetenzzentrum für räumliche Informationen im Kanton Zürich. Wir versorgen Gesellschaft, Wirtschaft und öffentliche Verwaltung mit qualitativ hochstehenden Geodaten und Informationen über den Kanton Zürich.

it: La divisione della geoinformazione è il centro d'eccellenza del Cantone di Zurigo per dati georeferenziati. Mettiamo a disposizione dati geografici e informazioni di alta qualità per l'economia, la società e la pubblica amministrazione su tutto il cantone.

value: ZH - Geocat Harvester

fr: Wasserrechte

de: Wasserrechte

en: Wasserrechte

it: Wasserrechte


abfallanlagen-und-sammelstellen

educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

ener

fr: Énergie

de: Energie

regi

fr: Régions et villes

envi

fr: Environnement

title_for_slug: abfallanlagen-und-sammelstellen

de: abfall-sammelstelle abfallanlage

fr: Map (Preview)

de: Map (Preview) Stadtplan

en: Map (Preview)

it: Map (Preview)

de: Link zum Thema im Internet-Stadtplan der Stadt Bern

de: WMS Abfallsammelstellen

de: Web Map Services WMS

de: WFS Abfallsammelstellen

de: Web Feature Services WFS

de: Standorte der Entsorgungshöfe und öffentlichen Sammelstellen in der Stadt Bern. Informationen, welche Abfallarten abgegeben werden können. Die Standorte von privaten Unterflursammelstellen für Kehricht und Papier/Karton werden nicht abgebildet.

spatial: Stadt Bern

geoinformation-der-stadt-bern

fr: L’Office du cadastre de la ville de Berne

de: Geoinformation Stadt Bern

en: The Land Surveying Office of the City of Bern

it: L'ufficio del catasto nella Città di Berna

fr: L’Office du cadastre (Geoinformation Stadt Bern) est l’organisme compétent pour la collecte, l’accès et la diffusion d’informations géographiques dans la ville de Berne.

de: Geoinformation Stadt Bern (ehemals Vermessungsamt) ist die Kompetenzstelle für die Beschaffung, den Zugang und die Verbreitung von Geoinformationen in der Stadt Bern.

en: The Surveying Office (Geoinformation Stadt Bern) is the centre of competence in the City of Bern for the procurement of, access to and dissemination of geographic information.

it: L'ufficio del catasto (Geoinformation Stadt Bern) è il centro di competenza per il reperimento, l'accesso e la diffusione di geoinformazioni nella Città di Berna.

political_level: commune

value: Geoinformation Stadt Bern - Geocat Harvester

de: Abfallanlagen und Sammelstellen


okoinfomobil

educ

en: Education, culture and sport

it: Istruzione, cultura e sport

ener

en: Energy

it: Energia

regi

de: Regionen und Städte

en: Regions and cities

it: Regioni e città

envi

de: Umwelt

title_for_slug: okoinfomobil

de: oekomobil okomobil

de: WMS OekoInfoMobil

de: WFS OekoInfoMobil

de: Haltestellen, an welchen das ÖkoInfoMobil einmal die Woche für 20 Minuten hält und kleine Abfallmengen entgegennimmt. Der Fahrplan ist fix und die Haltezeiten für die jeweiligen Standorte sind angegeben. Die Mitarbeitenden im Mobil beraten kompetent zu Entsorgungsfragen.

de: ÖkoInfoMobil


heal

fr: Santé

de: Gesundheit

en: Health

it: Salute

gove

fr: Gouvernement et secteur public

de: Regierung und öffentlicher Sektor

en: Government and public sector

it: Governo e settore pubblico

de: AGIS Direktdownload

de: Notfalltreffpunkte

de: Darstellung der Notfalltreffpunkte im Kanton Aargau.

name: Abteilung Militär und Bevölkerungsschutz

de: AGIS Service Center Kanton Aargau

de: Das AGIS Service Center unterstützt als kantonale Koordinationsstelle die Bereitstellung von Geoinformationen und Metadaten der kantonalen Verwaltung. Die zuständigen kantonalen Fachstellen stellen die öffentlichen Geodaten des Kantons Aargau mittels der Infrastruktur des AGIS Service Center in der Informatik Aargau als Webservices und zum Download bereit.


signalisierte-hochstgeschwindigkeit

tran

fr: Transports

de: Verkehr

en: Transport

it: Trasporti

title_for_slug: signalisierte-hochstgeschwindigkeit

de: Map (Preview) Stadtplan

de: Link zum Thema im Internet-Stadtplan der Stadt Bern

de: Web Map Services WMS

de: Web Feature Services WFS

de: Geltende Höchstgeschwindigkeit pro Strassenabschnitt. Anfangs- und Endpunkte werden von den Signalstandorten auf die Strassenachsen projiziert.

geoinformation-der-stadt-bern

de: Geoinformation Stadt Bern

de: Signalisierte Höchstgeschwindigkeit


regi

de: Regionen und Städte

envi

de: Umwelt

en: Environment

it: Ambiente

de: basiskarte topographie kartenwerk

de: Datenshop

de: Produktansicht Geodatenshop

de: Topographische Karte des Kantons Luzern (1864-1867). Grundlage für das erste nationale Kartenwerk, die "Dufourkarte" (Massstab 1:100'000).

fr: Géoinformation du canton de Lucerne

de: Geoinformation Kanton Luzern

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.

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.


dma-mediathek

maintainer: Digitale Medien der Armee DMA, Kundendienst Medienagentur

title_for_slug: dma-mediathek

fr: ddps mediatheque photo militaire 360 groupes-thematiques video

de: 360 mediathek foto vbs themes video militar

en: ddps theme-world military photograph media-library 360 video

it: foto video 360 mediateca ambiti-tematici militare ddps

fr: MNA - Métadonnées

de: DMA - Metadaten

en: AFDM - Metadata

it: MDE - Metadati

media_type: application/json

fr: Les métadonnées montrent les clients et ressources de la médiathèque.

en: The metadata show the clients and assets of the media library.

de: Die Metadaten zeigen, welche Mandanten und Assets erfasst sind.

it: I metadati mostrano i clienti e asset della mediateca.

format: JSON

fr: MNA - Médiathèque

de: DMA - Mediathek

en: AFDM - Media library

it: MDE - Mediateca

fr: Compétences en photos et en vidéos.

de: Kompetenz in Fotos und Videos.

en: Expertise for photographs and videos.

it: Competenza sotto forma di foto e video.

mimetype: html

fr: MNA - Médiathèque historique

de: DMA - Historische Mediathek

en: AFDM - Historic Media Library

it: MDE - Mediateca storica

fr: Photos et films historiques.

en: Historical snapshots and video footage.

de: Historische Momentaufnahmen in Fotos und in Filmen.

it: Istantanee storiche in forma di foto e filmati.

fr: MNA - Ressources

de: DMA - Assets

en: AFDM - Assets

it: MDE - Asset

fr: Cette liste contient les ressources saisies par MNA.

de: Diese Liste enthält die von DMA erfassten Assets.

en: This list contains the assets of AFDM.

it: Questa lista contiene i asset dello MDE.

fr: Sis à Berne, le MNA est le centre de compétences pour les produits et services dans les domaines de la formation et de la communication.

de: Das DMA mit Standort in Bern ist das Kompetenzzentrum für Produkte und Dienstleistungen in den Bereichen der Ausbildung und der Kommunikation.

en: The AFDM, located in Bern, is the competence center for products and services in the fields of education and communication.

it: Il MDE, con sede a Berna, è il centro di competenza per i prodotti e le prestazioni nei settori dell'istruzione e della comunicazione.

ambiti-tematici

display_name: ambiti-tematici

ddps

display_name: ddps

foto

display_name: foto

groupes-thematiques

display_name: groupes-thematiques

media-library

display_name: media-library

mediateca

display_name: mediateca

mediathek

display_name: mediathek

mediatheque

display_name: mediatheque

militaire

display_name: militaire

militar

display_name: militar

militare

display_name: militare

military

display_name: military

photo

display_name: photo

photograph

display_name: photograph

name: Digitale Medien der Armee (DMA), Departement VBS

fr: Sis à Berne, le Centre des médias numériques de l’armée MNA est le centre de compétences pour les produits et services dans les domaines de la formation et de la communication.

en: The Armed Forces Digital Media Centre AFDM, located in Bern, is the competence center for products and services in the fields of education and communication.

de: Das Zentrum digitale Medien der Armee DMA mit Standort in Bern ist das Kompetenzzentrum für Produkte und Dienstleistungen in den Bereichen der Ausbildung und der Kommunikation.

it: Il Centro dei media digitali dell’esercito MDE, con sede a Berna, è il centro di competenza per i prodotti e le prestazioni nei settori dell'istruzione e della comunicazione.


maintainer: EnviDat Support

en: ecological-indicator-values soil-moisture ecological-maps plants landolt soil-mapping switzerland soil-ph

en: Predictors

media_type: application/zip

en: Predictors generated and used in Descombes et al. (2020)

format: ZIP

mimetype: application/zip

en: Description

en: Description of the predictors provided in this dataset

format: XLS

en:
Ecologically meaningful predictors are often neglected in plant distribution studies, resulting in incomplete niche quantification and low predictive power of species distribution models (SDMs). Because environmental data are rare and expensive to collect, and because their relationship with local climatic and topographic conditions are complex, mapping them over large geographic extents and at high spatial resolution remains a major challenge. Here, we derived environmental data layers by mapping ecological indicator values (EIVs) in space by using a large set of environmental predictors in Switzerland.

This dataset contains the predictors (raster layers) generated and used in the following publication (Descombes et al. 2020). Only predictors for which we have the rights to share them are provided. Other datasets and predictors can be accessed via the original data provider. Details on the predictors and sources are fully described in the publication. The predictors are provided as GeoTIFF files, at 93 m spatial resolution and Mercator projection ("+proj=merc +lon_0=0 +k=1 +x_0=0 +y_0=0 +ellps=WGS84 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs"). The excel file (xlsx) provides a short description of the raster layers.

Paper Citation:

Descombes, P. et al. (2020). Spatial modelling of ecological indicator values improves predictions of plant distributions in complex landscapes. Ecography. (accepted)

ecological-indicator-values

display_name: ecological-indicator-values

ecological-maps

display_name: ecological-maps

landolt

display_name: landolt

plants

display_name: plants

soil-mapping

display_name: soil-mapping

soil-moisture

display_name: soil-moisture

soil-ph

display_name: soil-ph

switzerland

display_name: switzerland

educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

en: Education, culture and sport

it: Istruzione, cultura e sport

envidat

fr: EnviDat: le portail de données environnementales

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

it: EnviDat: il portale dei dati ambientali

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

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

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

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

political_level: other

value: Envidat Harvester


weather-station-klosters

maintainer: Maxime Hervo

title_for_slug: weather-station-klosters

en: wind weather klosters temperature raclets precipitation

en: Weather Station Klosters

en: All in one weather station measuring temperature (°C), humidity (%), wind (m s‾ ¹) and precipitation type. The time format is: number of days from January 0, 0000, UTC.

en: A weather station (Lufft WS600) measured meteorological parameters at Klosters (LON: 9.880413, LAT: 46.869019). Detailed information on the specifications can be found [here](https://www.lufft.com/products/compact-weather-sensors-293/ws600-umb-smart-weather-sensor-1832/productAction/outputAsPdf/).

klosters

display_name: klosters

precipitation

display_name: precipitation

raclets

display_name: raclets

temperature

display_name: temperature

weather

display_name: weather

wind

display_name: wind


en: remote-sensing uas snow snow-depth swe

en: .tfw file

en: coordinates for the .tif raster

en: HS map Brämabül, 14. April 2015

media_type: image/tiff

en:
10 cm resolution
15 cm accuracy

format: TIFF

mimetype: image/tiff

en:
This snow depth map was generated 14 January 2015, close to peak of winter accumulation, applying Unmanned Aerial System digital surface models with a spatial resolution of 10 cm. The covered area is 285'000 m2 at the top of Brämabüel, 2490 m a.s.l. covering all expositions. Coordinate system: CH1903LV03.

A detailed description is given here:

Bühler, Y., Adams, M. S., Bösch, R., and Stoffel, A.: Mapping snow depth in alpine terrain with unmanned aerial systems (UASs): potential and limitations, The Cryosphere, 10, 1075-1088, 10.5194/tc-10-1075-2016, 2016.

Abstract:
Detailed information on the spatial and temporal distribution, and variability of snow depth (HS) is a crucial input for numerous applications in hydrology, climatology, ecology and avalanche research. Nowadays, snow depth distribution is usually estimated by combining point measurements from weather stations or observers in the field with spatial interpolation algorithms. However, even a dense measurement network is not able to capture the large spatial variability of snow depth in alpine terrain.
Remote sensing methods, such as laser scanning or digital photogrammetry, have recently been successfully applied to map snow depth variability at local and regional scales. However, such data acquisition is costly, if manned airplanes are involved. The effectiveness of ground-based measurements on the other hand, is often hindered by occlusions, due to the complex terrain or acute viewing angles. In this paper, we investigate the application of unmanned aerial systems (UAS), in combination with structure-from-motion photogrammetry, to map snow depth distribution. Such systems have the advantage that they are comparatively cost-effective and can be applied very flexibly to cover also otherwise inaccessible terrain. In this study we map snow depth at two different locations: a) a sheltered location at the bottom of the Flüela valley (1900 m a.s.l.) and b) an exposed location (2500 m a.s.l.) on a peak in the ski resort Jakobshorn, both in the vicinity of Davos, Switzerland. At the first test site, we monitor the ablation on three different dates. We validate the photogrammetric snow depth maps using simultaneously acquired manual snow depth measurements. The resulting snow depth values have a root mean square error (RMSE) better than 0.07 to 0.15 m on meadows and rocks and a RMSE better than 0.30 m on sections covered by bushes or tall grass. This new measurement technology opens the door for efficient, flexible, repeatable and cost effective snow depth monitoring for various applications, investigating the worlds cryosphere.

remote-sensing

display_name: remote-sensing

snow

display_name: snow

snow-depth

display_name: snow-depth

swe

display_name: swe

uas

display_name: uas

en: UAS based snow depth maps Brämabüel, Davos, CH


en: taxonomic-diversity beta-diversity european-alps global-change species-distribution-models land-use-change plants conservation functional-diversity zonation migclim phylogenetic-diversity

en: Updated SDM outputs

en: Refined scenarios of plants distribution in the European Alps

format: GeoTIFF

en: Data Access

en:
This repository contains extensive data for the European Alps:
  - Observations of ~3,500 plant species
  - Climate (1-km), soil (100-m) and land cover predictors (1km); current and future scenarios (28 CMIP6-GCMs, 2 land cover change and 3 dispersal scenarios i.e., unlimited, no and realistic vegetation dispersal)
  - Flora migration rates (categorical) and ecological preferences (continuous indicator values)
  - Regional maps of barriers to migration and water bodies at 100-m resolution
  - Sampling effort, distance to roads and cities predictors at 100-m resolution
  - Present and future abundances over the study region at 1-km resolution (~2,000 species)
  - Present and future multifaceted and uniqueness of the European Alps' Flora at 1-km resolution
  - Present and future conservation recommendations at 1-km resolution (26 current and future strategies)
  - Phylogenetic data and functional traits of ~2,000 plants (raw data and classification trees)
  - All scripts, data and plots used for the analyses, including a singularity container (mini-linux) to run them

beta-diversity

display_name: beta-diversity

conservation

display_name: conservation

european-alps

display_name: european-alps

functional-diversity

display_name: functional-diversity

global-change

display_name: global-change

land-use-change

display_name: land-use-change

migclim

display_name: migclim

phylogenetic-diversity

display_name: phylogenetic-diversity

species-distribution-models

display_name: species-distribution-models

taxonomic-diversity

display_name: taxonomic-diversity

zonation

display_name: zonation

en: Present and future multifaceted plant diversity, uniqueness and conservation in the European Alps


maintainer: James W. Kirchner

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

en: MODIS NDSI script

media_type: text/plain

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

format: TXT

mimetype: text/plain

en: Subcatchment polygons

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

en: Daily time series

en: Daily hydrometeorological and ecohydrological time series

en: Metadata

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

en: MODIS EVI2 script

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

en: 30-minute time series

en: 30-minute hydrometeorological and ecohydrological time series.

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

Data include 30-minute time series of

- weather variables,

- sap flow fluxes,

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

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

and daily time series of

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

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

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

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

diel-cycle

display_name: diel-cycle

diurnal-cycle

display_name: diurnal-cycle

ecohydrology

display_name: ecohydrology

evapotranspiration

display_name: evapotranspiration

groundwater

display_name: groundwater

sap-flow

display_name: sap-flow

snowmelt

display_name: snowmelt

streamflow

display_name: streamflow

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

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

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


media_type: text/csv

format: CSV

mimetype: text/csv

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

avalanche-accident-statistics

display_name: avalanche-accident-statistics

avalanche-fatalities

display_name: avalanche-fatalities

fatalities-in-or-around-buildings

display_name: fatalities-in-or-around-buildings

fatalities-in-settlements

display_name: fatalities-in-settlements

fatalities-in-the-backcountry

display_name: fatalities-in-the-backcountry

fatalities-on-transportation-corridors

display_name: fatalities-on-transportation-corridors

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


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

en: Data Set Documentation

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

en: Weekly stable water isotopes

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

en: 7-hourly stable water istopes

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

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

catchment

display_name: catchment

chloride

display_name: chloride

deuterium

display_name: deuterium

plynlimon

display_name: plynlimon

precipitation

display_name: precipitation

stable-water-isotopes

display_name: stable-water-isotopes

tracer

display_name: tracer

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


en: mountain snow albedo photovoltaic reflection irradiance energy

en: Windows users use the 7-zip app to extract the zip-file.

en: PV Data

en:
 Overview
The SUNWELL Modelling Environment is a combination of data and code that models electricity production from satellite-derived irradiance data and other spatial data sets for all of Switzerland. This ensemble accompanies the publication "The bright side of PV production in snow-covered mountains", published in the Proceedings of the National Academy of Science and reproduces all results and figures of. Code and resources are in their original form (with documentation). A new version with a more generalized application to PV modelling and with more flexibility in terms of input and output formats will be released in the coming months.

 Format
All code is written and has to be executed in Matlab. The input and output data sets are also in the Matlab-specific .mat format. Whenever publicly available, the original data is provided as geotif, .xlsx or other common format.
This is the case for:

- Digital Elevation Model (InputsFromMatlab/MSG/OriginalData/ASTERDEM),
- Landsurface cover type (InputsFromMatlab/MSG/OriginalData/CORINE),
- Population Density (InputsFromMatlab/MSG/OriginalData/popdensRaster,
- Electricity production from three of our validation sites (/Validation/WSL),
- Measured irradiance for two validation sites (/Validation/ASRB)
The ‘Metadata’ documents in the respective folders provide further information about the data sources and processing. Figures are produced either in .pdf or .png format.

 Structure
The central level of the SUNWELL environment holds the 5 Mains, which run the different modelling aspects of the paper; each code is documented separately. Additional code is located in the ‘DataProcessing’ and the ‘functions’ folder. Functions are called in the different Mains.

‘InputsFromMatlab’ contains the radiation and albedo input data sets in separate subfolders (SIS/SISDIR/ALB). The original data is not publicly available, but can be requested for research purposes free of charge. We provide a processed subset of the data set that was used to run the SUNWELL simulations. The MSG subfolder contains additional spatial input data sets.

‘Outputs’ contains the output files from the different mains (matching names, Main_CHallpixels.m  Prod_CHallpixels)

‘Publication_figures’ contains all individual figures from the PNAS publication, as well as the generating code (/code_plot) and the power point figures (/ppts) that provide the combined final figures.

‘Validation’ contains the data sets used in the model validation:

- Electricity production from three of our validation sites (/WSL),
- Measured irradiance for two validation sites (/ASRB)

Electricity production from a validation site at Lac des Toules in Wallis (/LDT), this data set was provided under an NDA and cannot be made publicly available.

Paper Citation:
 > _Annelen Kahl; Jérôme Dujardin; Michael Lehning (2018). Dataset on PV Production in Snow Covered Mountains. PNAS - Proceedings of the National Academy of Sciences. (in press)_

albedo

display_name: albedo

energy

display_name: energy

irradiance

display_name: irradiance

mountain

display_name: mountain

photovoltaic

display_name: photovoltaic

reflection

display_name: reflection

snow

display_name: snow


en: post-depositional-processes sublimation paleoclimate stable-water-isotopes snow latent-heat weissfluhjoch natural-tracer

en: Stable water isotopes in vapor

en:
Stable water isotopes in vapor measurements. Processed (calibrated) and raw data for February - June 2017. Raw data for January and February 2020.
For the time in between July 2017 and April 2020, raw vapor isotopic measurements are available, but no calibrations were performed during that time. For data delivery, please contact one of the authors.
This folder also contains the post-processing scripts for stable water isotopes in vapor measurements.

en: Weather

en: Meteorological data, snow height measurement, and SNOWPACK simulations covering the different field campaigns.

en: Stable water isotopes in snow

en: Stable water isotopes in snow measurements

en: Details about the different folders

en: Folder containing the scripts and data used in "Surface snow isotopic composition: post-depositional processes in an alpine snowpack" (Sadowski et al., 2022)

en:
Details on the data collected during the different field campaigns and available in this dataset.
Information on the sampling procedure of the snow isotopes samples.

en:
Notice: Changes to the dataset are still possible. Please do not use this dataset until the final publication with a DOI. Contact the authors if you have questions about this.

This dataset contains measurements of stable water isotopes in snow and vapor on the Weissfluhjoch from different field campaigns (Winter 2017 (Trachsel, 2019), January 2020, December 2020, and March 2021 (Sadowski et al., 2022).
Snow profiles and surface samples are available at different frequencies for each campaign. Please see "Data_description.pdf" for details.

Scripts and SNOWPACK simulations used in (Trachsel, 2019) and (Sadowski et al., 2022) are also provided.

latent-heat

display_name: latent-heat

natural-tracer

display_name: natural-tracer

paleoclimate

display_name: paleoclimate

post-depositional-processes

display_name: post-depositional-processes

sublimation

display_name: sublimation

weissfluhjoch

display_name: weissfluhjoch

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

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

en: Stable Water Isotopes in snow and vapor on the Weissfluhjoch


maintainer: Peter Bebi

en: soil-temperature experiment climate-change carbon-dioxide stillberg vegetation

en: Metadata FACE Stillberg Experimental Design

en: Schematic illustration and tabular listing of the FACE experimental design.

en: Metadata FACE Stillberg Data File Description

en: List of descriptions for each of the .csv FACE data files.

en: Project Description FACE Stillberg

en: Link to FACE project description on the WSL website.

en: Data FACE Stillberg

en: Folder in .zip format containing the FACE datasets.

en:
 Background information

High elevation ecosystems are important in research about environmental change because shifts in climate associated with anthropogenic greenhouse gas emissions are predicted to be more pronounced in these areas compared to most other regions of the world. This project involved a Free Air CO2 Enrichment (FACE) and soil warming experiment located in a natural treeline environment near Davos, Switzerland (Stillberg, 2200 m a.s.l.). Elevated atmospheric CO2 concentrations (+200 ppm) were applied from 2001 until 2009, and a soil warming treatment (+4 °C) was applied from 2007 until 2012. The combined CO2 enrichment and warming treatment reflects conditions expected to occur in this region in approximately 2050. A broad range of ecological and biogeochemical research was carried out as part of this environmental change project.

 Experimental design

The experiment consisted of 40 hexagonal 1.1 m² plots, 20 with a *Pinus mugo* ssp. *uncinata* (mountain pine, evergreen) individual in the centre and 20 with a *Larix decidua* (European larch, deciduous) individual in the centre. A dense cover of understorey vegetation surrounded the tree in each plot, including the dominant dwarf shrub species *Vaccinium myrtillus* (bilberry), *Vaccinium gaultherioides* (group *V. uliginosum agg.*, northern bilberry) and *Empetrum nigrum* ssp. *hermaphroditum* (crowberry) plus several herbaceous and non-vascular species.
At the beginning of the experimental period, the 40 plots were assigned to ten groups of four neighbouring plots (two larch and two pine trees per group) in order to facilitate the logistics of CO2 distribution and regulation. Half of these groups were randomly assigned to an elevated CO2 treatment, while the remaining groups served as controls and received no additional CO2. In spring 2007, one plot of each tree species identity was randomly selected from each of the 10 CO2 treatment groups and assigned a soil warming treatment, yielding a balanced design with a replication of five individual plots for each combination of CO2 level, warming treatment and tree species.

 Data description

Soil and air conditions have been monitored closely throughout the study period, with most measurements made during the combined CO2 x warming experiment (2007-2009). The data comprise of air temperature, soil temperature, soil moisture, sapflow, tree diameter and CO2 measurements.

carbon-dioxide

display_name: carbon-dioxide

climate-change

display_name: climate-change

experiment

display_name: experiment

soil-temperature

display_name: soil-temperature

stillberg

display_name: stillberg

vegetation

display_name: vegetation

en: FACE: Stillberg CO2 enrichment and soil warming study


en: depth-of-snowfall gridded-data terrestiral-laserscanning terrestrial-laser-scans antarctica

en: Deprecated: Scan from 11 January 2019, 10 cm resolution, version 1

en: This resource is deprecated. It contains erroneous data.

en: Scan from 27 December 2018, 10 cm resolution

en: Scan from 11 January 2019, 1 mm resolution

en: Scan from 11 January 2019, 10 cm resolution, version 2

en: Scan from 2 January 2019, 1 mm resolution

en: Scan from 4 January 2019, 1 mm resolution

en: Scan from 4 January 2019, 10 cm resolution

en: Scan from 21 December 2018, 10 cm resolution

en: Scan from 27 December 2018, 1 mm resolution

en: Scan from 2 January 2019, 10 cm resolution

en: Scan from 21 December 2018, 1 mm resolution

en:
Surface topography maps (spatial extent: 400 m x 400 m) obtained at approximately 300 m from the top of the Hammarryggen Ice Rise in Dronning Maud Land, East Antarctica, using a Riegl VZ-6000 Terrestrial Laser Scanner (TLS). Scans were obtained on 5 days in the 2018-2019 Austral summer: on December 21 and 27, and January 2, 4 and 11. By using reflectors installed on bamboo poles, scans were registered with respect to the reflectors, such that the difference between two successive scans reveals the spatial patterns of erosion and deposition of snow. On each scan day, we used multiple scan positions to create one combined point cloud. After applying an octree filter on the point cloud, a 3D surface was obtained. For each day, the dataset contains a 1 mm and a 10 cm octree filter resolution file, only including points in a 400 m x 400 m area centered around the scan positions.

Notes:

* All files in the dataset are in the same coordinate system. However, this coordinate system is arbitrary (i.e., not related to any global coordinate system).

* From the installed reflectors, 4 reflectors could be used over the full period. The scan accuracy is generally higher within the area enclosed by the reflectors.

* The scans from January 2 were found to have exhibited small tilt during the scan and are of lesser accuracy.

* By walking along fixed corridors, disturbance of the snow was limited.

antarctica

display_name: antarctica

depth-of-snowfall

display_name: depth-of-snowfall

gridded-data

display_name: gridded-data

terrestiral-laserscanning

display_name: terrestiral-laserscanning

terrestrial-laser-scans

display_name: terrestrial-laser-scans

en: Terrestrial laser scans on Hammarryggen Ice Rise, Dronning Maud Land, East Antarctica


maintainer: Armin Sigmund

en: stable-water-isotopes lagrangian-analysis evaporation snow-sublimation backward-trajectories isotopic-distillation antarctica

en: Readme

en: Meta data

en: Model code

en: Model Sublimation and Model Air Parcel (python scripts)

en: Python scripts for data visualization

en: Scripts for generating the figures of the related research article and generating the data files (csv) from the model output

en: Data

en: Modeled data including the data shown in the figures of the related research article

en:
 Summary

This data set contains Python programming code and modeled data discussed in a related research article. We developed a simple isotope model to study the drivers of the particularly depleted vapour isotopic composition measured on the ship of the Antarctic Circumnavigation Expedition close to the outlet of the Mertz glacier, East Antarctica, in the 6-day period from 27 January 2017 to 1 February 2017. The model considers the stable water isotopologues H2(16O), H2(18O), and HD(16O). It uses data from the ERA5 reanalysis product with a spatial resolution of 0.25° x 0.25° (Hersbach et al., 2018) and 10-day backward trajectories for the location of the ship, published by Thurnherr et al. (2020a). Our data set includes the model code, Python scripts for visualizing the results, and data produced by the model including the results shown in the figures of the related research article. Here, we summarize the most important model characteristics while further details can be found in the readme.txt file and the related research article including its supporting information.

 Main model characteristics

The modeling approach consists of two steps called *Model Sublimation* and *Model Air Parcel*. The former estimates the isotopic compositions of the snow and sublimation flux across the Antarctic Ice Sheet using an Eulerian frame of reference while the latter models the vapour isotopic composition and specific humidity along air parcel trajectories using a Lagrangian frame of reference. The isotope effects of most phase changes are represented by equilibrium fractionation. Only for ocean evaporation, kinetic fractionation is additionally taken into account (original Craig-Gordon formula). For snow sublimation, two assumptions are tested: *Run E* assumes that sublimation is associated with equilibrium fractionation while *Run N* assumes that sublimation occurs without isotopic fractionation.

 Model Sublimation
Model Sublimation uses a simple one-dimensional mass-balance approach in each grid cell, considering snow accumulation due to snowfall and vapour deposition and snow ablation due to sublimation. The snowpack is represented by 100 layers of equal thickness (e.g., 1 cm) and density (350 kg m-3). The isotopic composition of snowfall is parameterized by generalizing a site-specific, empirical relationship between the daily mean air temperature and snowfall isotopic composition. In the case of vapour deposition, Model Sublimation assumes equilibrium fractionation and estimates the isotopic composition of the atmospheric vapour as the average value for two idealized situations: (i) locally sourced vapour which has the same isotopic composition as the sublimation flux; (ii) non-locally sourced vapour in isotopic equilibrium with snowfall. Model Sublimation is run with a time step of 1 h, independently of Model Air Parcel.

 Model Air Parcel
Every hour, an ensemble of trajectories arrives at different heights in the ABL above the ship. For each of these trajectories, we consider an air parcel with a constant volume of 1 x 1 x 1 m3. The air parcels are initialized at the first suitable time when the trajectories are located in the ABL, either over the ice-free ocean in conditions of evaporation or over snow (Antarctic Ice Sheet or sea ice). Subsequently, the masses of the water isotopologues in the air parcels are simulated with a time step of 3 h, considering vapour uptake or removal due to the moisture flux at the snow or liquid ocean surface (only if the parcel is in the ABL) and cloud/precipitation formation (if the saturation specific humidity is reached). Sea ice is taken into account in a very simplified way. We represent the sea ice by grid cells with a sea-ice cover of more than 90% and assume the isotopic composition of the sublimation flux to be identical to that in the nearest grid cell of the Antarctic Ice Sheet. The isotopic composition of the sublimation flux is taken from Model Sublimation whereas the isotopic composition of the vapour deposition flux (over snow) and condensation flux (over ice-free ocean) is simulated assuming an isotopic equilibrium with the air parcel. Isotope effects of cloud/precipitation formation are represented using the classic Rayleigh distillation model with equilibrium fractionation, where the cloud water is assumed to precipitate immediately after formation.

 References

Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horanyi, A., Munoz Sabater, J.,... others (2018). *ERA5 hourly data on single levels from 1979 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS)*. doi: 10.24381/cds.bd0915c6

Thurnherr, I., Wernli, H., & Aemisegger, F. (2020a). *10-day backward trajectories from ECMWF analysis data along the ship track of the Antarctic Circumnavigation Expedition in austral summer 2016/2017*. Zenodo. doi: 10.5281/zenodo.4031705

backward-trajectories

display_name: backward-trajectories

evaporation

display_name: evaporation

isotopic-distillation

display_name: isotopic-distillation

lagrangian-analysis

display_name: lagrangian-analysis

snow-sublimation

display_name: snow-sublimation

stable-water-isotopes

display_name: stable-water-isotopes

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

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

en: Modeled Isotopic Composition of Water Vapour Along Air Parcel Trajectories in the Antarctic


maintainer: Virginie Marques

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

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: forest-ecosystems water-budget soil-solution water-isotopes xylem-water

media_type: image/png

en: Overview of most xylem water isotopic signatures.

format: PNG

en: Overview of most soil solution water isotopic signatures.

en: Overview of most bulk soil water isotopic signatures.

en: Water isotopic signature of deposition samples.

en: Overview of most deposition water isotopic signatures.

en: Water isotope signatures and gravimetric water content of bulk soil samples.

en: Water isotope signatures and gravimetric water content of xylem samples.

en: Column descriptions for soil solution, deposition, xylem and bulk soil samples.

en: Water isotope signatures of soil solution samples.

en:
The isotope composition of different forest water pools was analyzed at 10 sites of the Long-term Forest Ecosystem Research programme in 2021 and 2022. The sampling was done during the vegetation season and included fortnightly xylem water samples taken by stem increment cores and each year 3 bulk soil water sampling campaigns (in April, June, September of 2021 and 2022). Both sample types were cryogenically extracted at WSL and analyzed on a Picarro 2140 with Micro-Combustion-Module. Gravimetric water content in both sample types was computed based on pre-and post-extraction weights. In addition to xylem and bulk soil waters, we analyzed the isotope composition of soil solution from a suction cup lysimeters in three soil depths 0, 15, 50, 80 cm and precipitation from samplers below the canopy and outside of the forest, all collected fortnightly from collection periods of varying length (longest from 2017-2022).
Precipitation samples are further described [here](https://www.doi.org/10.16904/envidat.lwf.15). Lysimeter samples are described further [here](https://www.doi.org/10.16904/envidat.lwf.28).

forest-ecosystems

display_name: forest-ecosystems

soil-solution

display_name: soil-solution

water-budget

display_name: water-budget

water-isotopes

display_name: water-isotopes

xylem-water

display_name: xylem-water

en: Water isotope signatures in Swiss forest ecosystems in 2021 and 2022


en: snow-cover vertical-wind-motion boundary-layer-winds saltation snow-depth

en: Data Compilation

en: Compressed TXT files

en:
The data correspond to the experiments presented and discussed in a paper regarding the interaction between turbulent wind fluctuations and snow saltation mass-fluxes (Paterna, 2016). Each of the nine data files corresponds to a different experiment presented in the paper and conducted in the winter 2014/2015 in the WSL/SLF cold wind tunnel in Davos. For each file the five columns indicate the time from the beginning of the experiment, the streamwise (u’) and the vertical (w’) wind velocity fluctuations, the streamwise (qx) and the vertical (qz) snow mass-flux components. From these time-series the scales of the snow saltation and of the turbulent flow are obtained with respect to the eddy-cycles and snow saltation cycles. From spectral analysis of the time-series a decoupling of the snow saltation from the turbulence forcing reveals two regimes of interaction: a turbulence-dependent regime occurring with weak saltation, and a turbulence-independent regime with strong saltation. Further details can be found at the link below.

Publication http://onlinelibrary.wiley.com/doi/10.1002/2016GL068171/abstract

boundary-layer-winds

display_name: boundary-layer-winds

saltation

display_name: saltation

snow-cover

display_name: snow-cover

snow-depth

display_name: snow-depth

vertical-wind-motion

display_name: vertical-wind-motion

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

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

en: Wind tunnel measurement data of drifting snow and turbulent wind fluctuations