equiden-altersstruktur

title_for_slug: equiden-altersstruktur

fr: animaux-de-rente equides age animaux-de-compagnie evolution-de-la-population

de: populationsentwicklung equiden nutztiere heimtiere alter

en: equids age companion-animals population-trends livestock

it: animale-da-reddito equidi eta animale-da-compagnia evoluzione-della-popolazione

identifier: equids-pyr

fr: Total des équidés enregistrés et vivants par catégorie d’âge et par sexe mâle et femelle (poulains, juments, étalons et hongres).

de: Verteilung der registrierten, lebenden Equiden nach Altersklassen und Geschlechtern männlich und weiblich (Fohlen, Stuten, Hengste und Wallache) im Zeitverlauf.

en: Number of registered and living equids by age category and sexes male and female (foals, mares, stallions et geldings).

it: Totale dei equidi registrati e vivi per categoria di età e per sesso maschile e femminile (puledro, giumenta, stallone e castrone).

age

display_name: age

alter

display_name: alter

animale-da-compagnia

display_name: animale-da-compagnia

animaux-de-compagnie

display_name: animaux-de-compagnie

companion-animals

display_name: companion-animals

equiden

display_name: equiden

equides

display_name: equides

equidi

display_name: equidi

equids

display_name: equids

eta

display_name: eta

evolution-de-la-population

display_name: evolution-de-la-population

evoluzione-della-popolazione

display_name: evoluzione-della-popolazione

heimtiere

display_name: heimtiere

population-trends

display_name: population-trends

populationsentwicklung

display_name: populationsentwicklung

identitas

fr: Identitas AG développe et exploite des applications pour l'identification, l'enregistrement et la surveillance des animaux de rente et de compagnie. En tant que prestataire leader de services IT en Suisse pour les données en rapport avec les animaux et la production végétale, nous contribuons à la création de valeur ajoutée pour la santé et le bien-être animale et pour la sécurité des denrées alimentaires. A notre siège à Berne, nous employons environ 110 collaborateurs.

en: Identitas AG develops and operates software for the identitfication, registration and monitoring of livestock and companion animals in Switzerland. As leader provider of IT services in Switzerland for data regarding animals and crops, we contribute to creating added value for animal health/ welfare and safe food. About 110 employees work in our headquarters in Berne.

it: Identitas AG sviluppa e gestisce applicazioni per l'identificazione, la registrazione e il monitoraggio degli animali da reddito e da compagnia. In qualità di fornitore di servizi informatici leader in Svizzera per i dati relativi agli animali e alla produzione vegetale, contribuiamo alla creazione di valore aggiunto per la salute e il benessere degli animali e la sicurezza alimentare. Nella nostra sede centrale di Berna abbiamo circa 110 dipendenti.

fr: Équidés - Pyramide d'âges

de: Equiden - Altersstruktur

en: Equids - Age pyramid

it: Equidi - Piramide delle età


schafe-geburten-nach-rassen

maintainer: Team Tierstatistik Identitas AG

title_for_slug: schafe-geburten-nach-rassen

fr: races evolution-de-la-population ovins animaux-de-rente naissances

de: nutztiere schafe populationsentwicklung geburten rassen

en: breeds livestock sheep population-trends births

it: ovini animale-da-reddito razze evoluzione-della-popolazione nascite

label: Interactive plot

label: Glossary / Documentation

state: active

type: dataset

media_type: text/csv

format: CSV

identifier: sheep-birthBreed

fr: Total des naissances enregistrées de moutons sur le territoire suisse par race. L'évolution des populations les plus importantes est présentée. La liste complète est disponible lors du téléchargement des données (.csv).

en: Number of notified births of sheep by breed. The evolution of the largest populations is presented. The complete list is available when downloading the data (.csv).

de: Anzahl gemeldete Geburten von Schafen in der Schweiz, unterteilt nach Rassen im Zeitverlauf. Die Entwicklung der grössten Populationen wird dargestellt. Die vollständigen Daten zu allen Rassen finden sich im .csv.

it: Totale delle nascite registrate delle pecore sul territorio svizzero per razza. Viene mostrato lo sviluppo delle popolazioni più importanti. L'elenco completo è disponibile al momento del download dei dati (.csv).

animale-da-reddito

display_name: animale-da-reddito

animaux-de-rente

display_name: animaux-de-rente

births

display_name: births

breeds

display_name: breeds

geburten

display_name: geburten

livestock

display_name: livestock

naissances

display_name: naissances

nascite

display_name: nascite

nutztiere

display_name: nutztiere

ovini

display_name: ovini

ovins

display_name: ovins

races

display_name: races

rassen

display_name: rassen

razze

display_name: razze

schafe

display_name: schafe

sheep

display_name: sheep

identitas

fr: Identitas AG

de: Identitas AG

en: Identitas AG

it: Identitas AG

de: Identitas AG entwickelt und betreibt Applikationen zur Identifizierung, Registrierung und zum Monitoring von Nutz- und Heimtieren. Als führender Schweizer IT-Dienstleister für Daten rund um das Tier und den Pflanzenbau schaffen wir Mehrwert für gesunde Tiere und sichere Lebensmittel. An unserem Sitz in Bern beschäftigen wir rund 110 Mitarbeitende.

political_level: other

type: organization

approval_status: approved

key: guid

key: uri

value: DCAT Harvester Identitas

fr: Ovins - Naissances par races

en: Sheep - Births by breed

de: Schafe - Geburten nach Rassen

it: Ovini - Nascite per razza


ziegen-entwicklung-nach-rassen

title_for_slug: ziegen-entwicklung-nach-rassen

fr: evolution-de-la-population races animaux-de-rente caprins

de: ziegen rassen populationsentwicklung nutztiere

en: goats breeds livestock population-trends

it: evoluzione-della-popolazione animale-da-reddito caprini razze

identifier: goats-breeds

fr: Total des chèvres enregistrées et vivantes sur le territoire suisse par race. L'évolution des populations les plus importantes est présentée. La liste complète est disponible lors du téléchargement des données (.csv).

en: Number of registered and living goats by breed. The evolution of the largest populations is presented. The complete list is available when downloading the data (.csv).

de: Bestand der registrierten, lebenden Ziegen, unterteilt nach Rassen im Zeitverlauf. Die Entwicklung der grössten Populationen wird dargestellt. Die vollständigen Daten zu allen Rassen finden sich im .csv.

it: Totale delle capre registrati e vivi sul territorio svizzero per razza. Viene mostrato lo sviluppo delle popolazioni più importanti. L'elenco completo è disponibile al momento del download dei dati (.csv).

caprini

display_name: caprini

caprins

display_name: caprins

evolution-de-la-population

display_name: evolution-de-la-population

evoluzione-della-popolazione

display_name: evoluzione-della-popolazione

goats

display_name: goats

population-trends

display_name: population-trends

populationsentwicklung

display_name: populationsentwicklung

ziegen

display_name: ziegen

fr: Caprins - Évolution par race

de: Ziegen - Entwicklung nach Rassen

en: Goats - Evolution by breed

it: Caprini - Evoluzione per razza


ziegen-geburten

title_for_slug: ziegen-geburten

fr: evolution-de-la-population animaux-de-rente caprins naissances

de: ziegen nutztiere populationsentwicklung geburten

en: births population-trends livestock goats

it: animale-da-reddito caprini evoluzione-della-popolazione nascite

identifier: goats-births

fr: Total des naissances enregistrées de chèvres.

de: Anzahl gemeldete Ziegengeburten.

en: Number of notified goats births.

it: Totale delle nascite registrate delle capre.

animale-da-reddito

display_name: animale-da-reddito

animaux-de-rente

display_name: animaux-de-rente

births

display_name: births

geburten

display_name: geburten

livestock

display_name: livestock

naissances

display_name: naissances

nascite

display_name: nascite

fr: Caprins - Naissances

de: Ziegen - Geburten

en: Goats - Births

it: Caprini - Nascite


rinder-trachtigkeitstyp

title_for_slug: rinder-trachtigkeitstyp

fr: bovins portee evolution-de-la-population animaux-de-rente

de: rinder trachtigkeitstyp populationsentwicklung nutztiere

en: gestation-type cattle population-trends livestock

it: animale-da-reddito tipo-di-gestazione evoluzione-della-popolazione bovini

identifier: cattle-births-multiple

fr: Le nombre et la part des naissances simples et multiples.

de: Anzahl und Anteile der Einlings- und Mehrlingsgeburten.

en: The number and proportion of single and multiple births.

it: Il numero e la quota di nascite singole e multiple.

bovini

display_name: bovini

bovins

display_name: bovins

cattle

display_name: cattle

gestation-type

display_name: gestation-type

nutztiere

display_name: nutztiere

portee

display_name: portee

rinder

display_name: rinder

tipo-di-gestazione

display_name: tipo-di-gestazione

trachtigkeitstyp

display_name: trachtigkeitstyp

fr: Bovins - Type de portée

de: Rinder - Trächtigkeitstyp

en: Cattle - Gestation type

it: Bovini - Tipo di gestazione


schafe-entwicklung-der-tierhaltungen

title_for_slug: schafe-entwicklung-der-tierhaltungen

fr: animaux-de-rente unites-delevage ovins

de: tierhaltungen nutztiere schafe

en: sheep holdings livestock

identifier: sheep-holdings

fr: Total des unités d'élevage avec des moutons.

de: Anzahl Tierhaltungen mit Schafen.

en: Number of holdings with sheep.

it: Totale delle aziende detentrici di animali con pecore.

aziende-detentrici-di-animali

display_name: aziende-detentrici-di-animali

holdings

display_name: holdings

ovini

display_name: ovini

ovins

display_name: ovins

schafe

display_name: schafe

sheep

display_name: sheep

tierhaltungen

display_name: tierhaltungen

unites-delevage

display_name: unites-delevage

fr: Ovins - Évolution des unités d'élevage

en: Sheep - Evolution of holdings

de: Schafe - Entwicklung der Tierhaltungen

it: Ovini - Evoluzione delle aziende detentrici di animali


hunde-exporte-nach-landern

title_for_slug: hunde-exporte-nach-landern

fr: exportations pays chiens animaux-de-compagnie

de: land heimtiere ausfuhren hunde

en: country companion-animals dogs exports

it: paese cani animale-da-compagnia esportazione

identifier: dogs-exportCountries

fr: Total des exportations de chiens enregistrés et vivant par pays de destination (inclus les notifications du Liechtenstein). L'ensemble des autres pays est rassemblé sous le terme « pays additionnels ». La liste complète est disponible lors du téléchargement des données.

en: Number of dog exports by country (includes notifications from Liechtenstein). All remaining countries are grouped under the term "Further countries". The complete list is available when downloading the data.

de: Anzahl Exporte von lebenden, registrieren Hunden, unterteilt nach Zielländern im Zeitverlauf (inkl. Meldungen aus Liechtenstein). Alle anderen Länder sind unter dem Begriff "Weitere Länder" zusammengefasst. Eine vollständige Liste (.csv) ist beim Herunterladen der Daten verfügbar.

it: Totale delle esportazioni di cani registrati e vivi per paese di destinazione (comprese le notifiche del Liechtenstein). Tutte le altre paesi sono raggruppate sotto il termine "Paesi addizionale". L'elenco completo è disponibile al momento del download dei dati.

animale-da-compagnia

display_name: animale-da-compagnia

animaux-de-compagnie

display_name: animaux-de-compagnie

ausfuhren

display_name: ausfuhren

cani

display_name: cani

chiens

display_name: chiens

companion-animals

display_name: companion-animals

country

display_name: country

dogs

display_name: dogs

esportazione

display_name: esportazione

exportations

display_name: exportations

exports

display_name: exports

heimtiere

display_name: heimtiere

hunde

display_name: hunde

land

display_name: land

paese

display_name: paese

pays

display_name: pays

identitas

fr: Identitas AG développe et exploite des applications pour l'identification, l'enregistrement et la surveillance des animaux de rente et de compagnie. En tant que prestataire leader de services IT en Suisse pour les données en rapport avec les animaux et la production végétale, nous contribuons à la création de valeur ajoutée pour la santé et le bien-être animale et pour la sécurité des denrées alimentaires. A notre siège à Berne, nous employons environ 110 collaborateurs.

en: Identitas AG develops and operates software for the identitfication, registration and monitoring of livestock and companion animals in Switzerland. As leader provider of IT services in Switzerland for data regarding animals and crops, we contribute to creating added value for animal health/ welfare and safe food. About 110 employees work in our headquarters in Berne.

it: Identitas AG sviluppa e gestisce applicazioni per l'identificazione, la registrazione e il monitoraggio degli animali da reddito e da compagnia. In qualità di fornitore di servizi informatici leader in Svizzera per i dati relativi agli animali e alla produzione vegetale, contribuiamo alla creazione di valore aggiunto per la salute e il benessere degli animali e la sicurezza alimentare. Nella nostra sede centrale di Berna abbiamo circa 110 dipendenti.

fr: Chiens - Exportations par pays

de: Hunde - Exporte nach Ländern

en: Dogs - Exports by country

it: Cani - Esportazione per paese


rinder-sommerung-abgange

title_for_slug: rinder-sommerung-abgange

fr: bovins estivage animaux-de-rente

de: rinder sommerung nutztiere

en: summering cattle livestock

it: bovini estivazione animale-da-reddito

identifier: cattle-summering-deaths

fr: Nombre de morts des bovins pendant l'estivage dans la région d'estivage en Suisse et au Liechtenstein.

de: Verendungen von Rindern während der Sömmerung im Sömmerungsgebiet in der Schweiz und in Liechtenstein.

en: Cattle losses (deaths) during summering in the summering zone in Switzerland and in Liechtenstein.

it: Numero di morti di bovini durante l'estivazione nella regione d'estivazione in Svizzera e nel Liechtenstein.

animale-da-reddito

display_name: animale-da-reddito

animaux-de-rente

display_name: animaux-de-rente

bovini

display_name: bovini

bovins

display_name: bovins

cattle

display_name: cattle

estivage

display_name: estivage

estivazione

display_name: estivazione

livestock

display_name: livestock

nutztiere

display_name: nutztiere

rinder

display_name: rinder

sommerung

display_name: sommerung

summering

display_name: summering

identitas

fr: Identitas AG

de: Identitas AG

en: Identitas AG

it: Identitas AG

de: Identitas AG entwickelt und betreibt Applikationen zur Identifizierung, Registrierung und zum Monitoring von Nutz- und Heimtieren. Als führender Schweizer IT-Dienstleister für Daten rund um das Tier und den Pflanzenbau schaffen wir Mehrwert für gesunde Tiere und sichere Lebensmittel. An unserem Sitz in Bern beschäftigen wir rund 110 Mitarbeitende.

fr: Bovins - Morts à l'estivage

de: Rinder - Sömmerung Verendungen

en: Cattle - Losses during summering

it: Bovini - Morti durante l'estivazione


hunde-altersstruktur

title_for_slug: hunde-altersstruktur

fr: animaux-de-compagnie chiens age evolution-de-la-population

de: hunde populationsentwicklung heimtiere alter

en: age population-trends dogs companion-animals

it: eta cani evoluzione-della-popolazione animale-da-compagnia

identifier: dogs-pyr

fr: Total des chiens enregistrés et vivants par catégorie d’âge et par sexe.

de: Verteilung der registrierten, lebenden Hunde nach deren Alter zum Stichdatum, unterteilt nach Geschlechtern im Zeitverlauf.

en: Number of registered and living dogs by age category and sex.

it: Totale dei cani registrati e vivi per categoria di età e per sesso maschile e femminile (volpe, cagna, cane).

age

display_name: age

alter

display_name: alter

animale-da-compagnia

display_name: animale-da-compagnia

animaux-de-compagnie

display_name: animaux-de-compagnie

cani

display_name: cani

chiens

display_name: chiens

companion-animals

display_name: companion-animals

dogs

display_name: dogs

eta

display_name: eta

evolution-de-la-population

display_name: evolution-de-la-population

evoluzione-della-popolazione

display_name: evoluzione-della-popolazione

heimtiere

display_name: heimtiere

population-trends

display_name: population-trends

populationsentwicklung

display_name: populationsentwicklung

fr: Chiens - Pyramide des âges

de: Hunde - Altersstruktur

en: Dogs - Age pyramid

it: Cani - Piramide delle età


de: hunde heimtiere eigentumerinnen

en: owners companion-animals dogs

it: proprietari cani animale-da-compagnia

identifier: dogs-perOwner

fr: Total des détentrices et détenteurs de chiens enregistrés et vivants sur le territoire suisse et au Liechtenstein selon le nombre de chiens détenu.

en: Number of keepers of living and registered dogs in Switzerland and in Liechtenstein by dogs kept.

de: Entwicklung der Anzahl Halterinnen und Halter der registrierten und lebenden Hunde in der Schweiz und in Liechtenstein nach Anzahl gehaltener Hunde.

it: Totale di detentrice e detentori di cani registrati e vivi in Svizzera e nel Liechtenstein per numero di cani detenuti.

eigentumerinnen

display_name: eigentumerinnen

hunde

display_name: hunde

owners

display_name: owners

proprietaires

display_name: proprietaires

proprietari

display_name: proprietari

fr: Chiens - Nombre de chiens par détentrices et détenteurs

de: Hunde - Anzahl Hunde pro Hundehalter:innen

en: Dogs - Number of keepers by dogs kept

it: Cani - Numero di cani per detentori


gewasser-haupteinzugsgebiete

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: gewasser-haupteinzugsgebiete

de: einzugsgebiet wasser

label: geocat.ch permalink

fr: Haupeinzugsgebiete

de: Haupeinzugsgebiete

en: Haupeinzugsgebiete

it: Haupeinzugsgebiete

format: WMS

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

format: WFS

fr: Gewässerregionen auf Basis der Einzugsgebiete des Bundes (Hades-Atlas) von 2004 mit Anpassungen von Seiten des Kantons Zürich vom Oktober 2011. Die Gewässerregionen sind nur innerhalb des Kantons dargestellt und bilden deshalb mehrheitlich nur einen Teil der gesamten Gewässerregionen ab Die Gewässerregionen im Einzelnen sind: 1000: Rheinrandgebiete 2000: Limmat 3000: Reppisch 4000. Sihl 5000: Reuss-Lorze 6000: Glatt 7000: Töss-Unterlauf 8000: Töss-Oberlauf 9000: Thur

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.

political_level: canton

kanton-zuerich

capacity: public

value: ZH - Geocat Harvester

fr: Gewässerregionen

de: Gewässerregionen

en: Gewässerregionen

it: Gewässerregionen


abwasseranlagen

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

title_for_slug: abwasseranlagen

de: leitungskataster geobasisdaten

en: pipeline-cadastre official-geodata

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

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

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

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.

value: Uri-Kt - Geocat Harvester

fr: Abwasseranlagen

de: Abwasseranlagen

en: Abwasseranlagen

it: Abwasseranlagen


abwasseranlagen-darstellung-eigentum

title_for_slug: abwasseranlagen-darstellung-eigentum

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

fr: Abwasseranlagen Darstellung Eigentum

de: Abwasseranlagen Darstellung Eigentum

en: Abwasseranlagen Darstellung Eigentum

it: Abwasseranlagen Darstellung Eigentum


wasser-leitungen-darstellung-eigentum

title_for_slug: wasser-leitungen-darstellung-eigentum

url: https://geo.ur.ch/?layers=Wasser Leitungen Darstellung Eigentum

fr: Dieser Datensatz hat den gleichen Inhalt wie der Datensatz "Wasser Leitung öffentlich". Die Wasserleitungen sind gemäss dem Attribut "Eigentum" verschiedenfarbig dargestellt.

fr: Wasser Leitungen Darstellung Eigentum

de: Wasser Leitungen Darstellung Eigentum

en: Wasser Leitungen Darstellung Eigentum

it: Wasser Leitungen Darstellung Eigentum


elektro-leitungen

regi

fr: Régions et villes

de: Regionen und Städte

envi

fr: Environnement

title_for_slug: elektro-leitungen

fr: Elektro Trasse, Bauwerke und Trassepunkte.

fr: Elektro Leitungen

de: Elektro Leitungen

en: Elektro Leitungen

it: Elektro Leitungen


windenergieanlagen

envi

de: Umwelt

title_for_slug: windenergieanlagen

fr: Service WMS-IFDG, couche "Installations éoliennes"

de: WMS-BGDI Dienst, Layer "Windenergieanlagen"

en: WMS-FSDI service, layer "Wind energy plants"

it: Servizio WMS-IFDG, strato "Impianti eolici"

fr: Service WMTS-IFDG, couche , Layer "Installations éoliennes"

de: WMTS-BGDI Dienst, Layer "Windenergieanlagen"

en: WMTS-FSDI service, layer "Wind energy plants"

it: Servizio WMTS-IFDG, strato "Impianti eolici"

format: WMTS

fr: Map (Preview) Géoportail thématique - map.energie.admin.ch

de: Map (Preview) Fachportal - map.energie.admin.ch

en: Map (Preview) Thematic geoportal - map.energie.admin.ch

it: Map (Preview) Geoportale tematico - map.energie.admin.ch

de: Fachportal - map.energie.admin.ch

format: SERVICE

protocol: WWW:DOWNLOAD:Text (.csv), comma separated

de: Csv

protocol: WWW:DOWNLOAD:Geopackage (ogc)

de: Geopackage

format: GPKG

de: Interlis

format: INTERLIS

de: swisstopo REST API

format: API

de: Download STAC

format: HTML

fr: Les installations éoliennes utilisent l’énergie cinétique des masses d’air qui se déplacent pour faire tourner des hélices. L’énergie mécanique ainsi générée est ensuite transformée en énergie électrique grâce à un générateur. D’une puissance de 28 kW, la première centrale éolienne suisse a été mise en service en 1986 près de la ferme Soolhof (Langenbruck). En 2013, notre pays compte 34 installations éoliennes, qui produisent ensemble quelque 85 gigawattheures (GWh) d’électricité. Situé au Mont Crosin, sur les hauts de Saint-Imier dans le Jura bernois, le plus grand parc éolien de Suisse abrite seize éoliennes, qui totalisent une puissance de 23,6 MW. D’autres grandes installations ont été construites dans la vallée du Rhône (VS), à Entlebuch (LU) et sur le Gütsch au-dessus d’Andermatt (UR). En Suisse, l’énergie éolienne dispose d’un large potentiel. La production annuelle pourrait en effet atteindre quelque 600 GWh à l’horizon 2020 et dépasser 4000 GWh d’ici à 2050. Les sites appropriés se trouvent sur les crêtes du Jura, mais également dans les Alpes et les Préalpes, ainsi qu’à l’ouest du Plateau. Les géodonnées techniques «installations éoliennes» renseignent sur l’état actuel des installations éoliennes en Suisse. L’ensemble des informations se fondent sur les données fournies par les exploitants des installations. Les indications servent à informer le grand public et ne constituent pas des informations officielles ni des déclarations de nature contraignante.

de: Windenergieanlagen nutzen die kinetische Energie der anströmenden Luft zur Rotation der Flügel. Die auf diese Weise erzeugte mechanische Energie wird von einem Generator in elektrische Energie umgewandelt.Die erste Windenergieanlage der Schweiz wurde 1986 beim Soolhof (Langenbruck, BL) mit einer Leistung von 28 kW in Betrieb genommen. 2013 gibt es insgesamt 34 Windenergieanlagen, die rund 85 Gigawattstunden (GWh) Windstrom produzieren. Der grösste Windpark befindet sich auf dem Mont Crosin im Berner Jura bei St. Imier: Hier stehen 16 Windturbinen mit einer Gesamtleistung von 23,6 MW. Weitere Grossanlagen stehen u.a. im Rhonetal (VS), bei Entlebuch (LU) und auf dem Gütsch ob Andermatt (UR). In der Schweiz kann sich die Windenergie noch stark entwickeln. So sollen Windenergieanlagen bis zum Jahr 2020 rund 600 GWh und bis 2050 etwa 4‘000 GWh Strom pro Jahr produzieren. Geeignete Standorte befinden sich auf den Jurahöhen, aber auch in den Alpen und Voralpen und im westlichen Mittelland. Die Geofachdaten «Windenergieanlagen» dokumentieren den aktuellen Bestand der Windenergieanlagen der Schweiz. Sämtliche Informationen basieren auf den Auskünften der Anlagenbetreibenden. Die Angaben dienen als Informationsmaterial für die Öffentlichkeit und stellen keine amtliche Auskunft oder rechtsverbindliche Aussage dar.

en: Wind energy plants utilise the kinetic energy of airflow to rotate turbine blades. The mechanical energy that is produced in this way is then converted by a generator into electricity.The first wind energy facility in Switzerland was put into operation in 1986 near Soolhof Farm (Langenbruck, canton of Baselland) and had an output of 28 kilowatts. In 2013, a total of 34 wind power plants produced around 85 gigawatt hours (GWh) of electricity. The largest wind park is on Mont Crosin in the Bernese Jura near St Imier: this facility comprises 16 wind turbines with a total output of 23.6 megawatts. Other large facilities are in operation in Rhonetal (canton of Valais), near Entlebuch (canton of Lucerne) and on the Gütsch (above Andermatt, canton of Uri). There is still a great deal of potential for wind energy in Switzerland. The goal is to increase the annual production of electricity from wind energy plants to around 600 GWh by 2020 and 4,000 GWh by 2050. Suitable locations for wind parks exist in the Jura range, as well as in the Alps and the western region of the central plateau. The “Wind energy plants” geodata document the current situation regarding wind energy facilities in Switzerland. All data are based on information provided by the power plant operators and are intended to function as information material for the general public. They do not take the form of official information and are not legally binding.

it: Gli impianti a energia eolica sfruttano l'energia cinetica delle correnti d'aria per mantenere in rotazione le pale dei generatori, le quali trasformano questa energia meccanica in energia elettrica.Il primo impianto svizzero a energia eolica è stato messo in funzione nel 1986 a Soolhof (Langenbruck) e aveva una potenza di 28 kW. Nel 2013, in Svizzera si contavano 34 impianti eolici con una produzione complessiva di ca. 85 gigawattora (GWh) di energia elettrica all'anno. Il parco di generatori più grande si trova sul Mont Croisin, nel Giura bernese presso St. Imier, dove sono in esercizio 16 turbine eoliche, con una potenza complessiva di 23,6 MW. Si trovano altri grossi impianti nella valle del Rodano (VS), nei pressi di Entlebuch (LU) e sul Gütsch, sopra Andermatt (UR). In Svizzera l'energia eolica presenta tuttora un elevato potenziale di crescita: entro il 2020 gli impianti dovrebbero produrre ca. 600 GWh di energia elettrica all'anno ed entro il 2050 addirittura 4 000 GWh. I siti più adeguati per questo tipo di impianti si trovano sulle alture del Giura, lungo la catena alpina, nelle Prealpi e nell'Altopiano occidentale. I geodati relativi agli impianti eolici documentano l’attuale parco impianti eolici in Svizzera, basandosi unicamente sulle informazioni rilasciate dai gestori degli impianti. I dati sono da intendere come materiale informativo destinato all’opinione pubblica; sotto il profilo giuridico non hanno carattere vincolante e non sono da considerarsi informazioni ufficiali.

spatial: Schweiz

bundesamt-fur-energie-bfe

fr: Office fédéral de l'énergie OFEN

de: Bundesamt für Energie BFE

en: Swiss Federal Office of Energy SFOE

it: Ufficio federale dell'energia UFE

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

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

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

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

political_level: confederation

value: BFE - Geocat Harvester

fr: Installations éoliennes

de: Windenergieanlagen

en: Wind energy plants

it: Impianti eolici


unuberbaute-areale-in-kraft-genehmigt

regi

en: Regions and cities

it: Regioni e città

envi

en: Environment

it: Ambiente

title_for_slug: unuberbaute-areale-in-kraft-genehmigt

de: gebaude-und-anlagen nutzungsplanung raumplanung wirtschaftliche-aktivitaten zonenplan

protocol: https

de: Datenshop

de: Produktansicht Geodatenshop

de: Unüberbaute Areale in Arbeitszonen des genehmigten Zonenplans, laufend aktualisiert

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: Unüberbaute Areale, in Kraft (genehmigt)


wasser-leitungen-offentlich

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

de: Regionen und Städte

envi

de: Umwelt

title_for_slug: wasser-leitungen-offentlich

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

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.

geoinformation-kanton-uri

de: Lisag AG, Geoinformation Kanton Uri

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

fr: Wasser Leitungen öffentlich

de: Wasser Leitungen öffentlich

en: Wasser Leitungen öffentlich

it: Wasser Leitungen öffentlich


abwasseranlagen-darstellung-nutzungsart

regi

fr: Régions et villes

envi

fr: Environnement

title_for_slug: abwasseranlagen-darstellung-nutzungsart

de: leitungskataster geobasisdaten

en: pipeline-cadastre official-geodata

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

en: WFS-Dienst des Kanton Uri

it: WFS-Dienst des Kanton Uri

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

fr: Abwasseranlagen Darstellung Nutzungsart

de: Abwasseranlagen Darstellung Nutzungsart

en: Abwasseranlagen Darstellung Nutzungsart

it: Abwasseranlagen Darstellung Nutzungsart


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


sirenenstandorte-mit-beschallung

gove

fr: Gouvernement et secteur public

de: Regierung und öffentlicher Sektor

en: Government and public sector

it: Governo e settore pubblico

title_for_slug: sirenenstandorte-mit-beschallung

de: bevolkerung militar zivilschutz

de: Datenshop

de: Produktansicht Geodatenshop

de: Sirenenabdeckung innerhalb des Kanton Luzern mit Sirenenstandorten, mobiler Alarmierung und Schallteppich.

de: Sirenenstandorte mit Beschallung


regi

de: Regionen und Städte

de: fliessgewasser gewasserschutz landwirtschaft landwirtschaftliche-nutzung nutzungsplanung raumplanung zonenplan

de: Der Gewässerraum ist extensiv zu gestalten und zu bewirtschaften (GSchG, Art. 36a Abs. 3). In der Landwirtschaft sind folgende Gewässerraumflächen von den Bewirtschaftungseinschränkungen ausgenommen: Flächen über eingedolten Gewässerabschnitten, Randstreifen entlang Verkehrsachen und äussere Korridore bei Gewässeräumen von grossen Fliessgewässern. Der Datensatz umfasst diese Festlegungen.

de: Geoinformation Kanton Luzern

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.


trockensubstanzpotential

agri

fr: Agriculture, pêche, sylviculture et alimentation

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

en: Agriculture, fisheries, forestry and food

it: Agricoltura, pesca, silvicoltura e prodotti alimentari

title_for_slug: trockensubstanzpotential

de: betriebe boden bodennutzung eigentumsbeschrankungoreb landwirtschaft landwirtschaftliche-nutzung

de: Bei der Trockensubstanzmethode wird der in Trockensubstanz (TS) umgerechnete Futterbedarf aller auf dem Betrieb gehaltenen Nutztiere - inklusive der geplanten Aufstockung - dem in TS umgerechneten pflanzenbaulichen Produktionspotenzial (TS-Potential) gegenübergestellt.

de: Trockensubstanzpotential


wms-emmen

title_for_slug: wms-emmen

fr: reseau-de-transport geoservice velo pieton sig-systeme-dinformation-geographique ouvrage-dart plan-de-quartier centre-de-loisirs point-dinteret-poi plan-de-ville axe-routier batiment dechets energie transport information

de: verkehrsnetz geodienst fahrrad fussganger gis-geografisches-informationssystem kunstbau quartierplan freizeitanlage point-of-interest-poi stadtplan strassenachse bauwesen-und-gebaute-umwelt abfall energie verkehr information-ausbildung-kultur

en: traffic-network geoservice bike pedestrian gis-geographic-information-system art-construction quarter-map leisure-facility point-of-interest-poi city-map road-axis building waste energy transport information

it: rete-di-trasporto geoservizio bicicletta pedone sig-sistema-informativo-geografico opera-di-costruzione piano-di-quartiere centro-per-il-tempo-libero punto-di-interesse-poi carta-di-citta asse-stradale edilizia rifiuti energia trasporti informazione

label: Geoportal Emmen mit Links zum Geoviewer Emmen, WMS Emmen und weiteren Emmen relevanter Geoportale

de: DE#WMS Emmen

de: DE#WMS Emmen mit allen öffentlichen Daten der Gemeinde Emmen

fr: Service de carte avec les bâtiments de l'école dans la commune de Emmen

de: Kartendienst mit allen öffentlichen Daten der Gemeinde Emmen. Enthält Datenlayer zu: Points of Interest (Schulhäuser, Sportanlagen, Spielplätze, Gastrobetriebe Frühförderangebote), Strassendaten (Kunstbauten, Fussgängerstreifen, Verkehrsspiegel, Parkplätze und Veloparkierungsanlagen, Sitzbänke, Abfalleimer, Robidog, Tempo30- und Begegnungszonen, Bushaltestellen), Grünflächen, Quartiervereine, Energieplanung

de: Gemeinde Emmen

de: Emmen ist mit mehr als 31'000 Einwohnern nach der Stadt Luzern die Gemeinde mit der zweithöchsten Einwohnerzahl im Kanton Luzern. Gemäss kommunaler GIS-Strategie (https://www.emmen.ch/publikationen/344959) stellt Emmen Geodaten öffentlich zur Verfügung, soweit keine Schutzgründe/Datensicherheitsrestriktionen entgegenstehen. Geodaten werden in Form von Kartendiensten auf dem kommunalen Geoportal: https://www.emmen.ch/gemeindeinzahlen/43855 publiziert und als WMS zur öffentlichen Verfügung gestellt. Die zugrunde liegenden Geodaten und Geodienste werden in geocat.ch dokumentiert, die publizierten WMS auf opendata.swiss sind mit geocat.ch synchronisiert.

political_level: commune

value: Gemeinde Emmen - Geocat Harvester

de: WMS Emmen


wasserrechte

envi

de: Umwelt

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)

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.

fr: Wasserrechte

de: Wasserrechte

en: Wasserrechte

it: Wasserrechte


regi

de: Regionen und Städte

en: Regions and cities

it: Regioni e città

envi

en: Environment

it: Ambiente

de: baum baumkataster stadtbaum

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 Baumkataster

de: Web Map Services WMS

de: WFS Baumkataster

de: Web Feature Services WFS

de: Durch Stadtgrün bewirtschaftete Bäume, Symbole für Laubbaum, Nadelbaum und Obstbaum, mit den Informationen über Gattung, Art, deutscher Name, Pflanzjahr und Standort.

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.

value: Geoinformation Stadt Bern - Geocat Harvester

de: Baumkataster


richtplan-der-kantone-ur

soci

fr: Population et société

de: Bevölkerung und Gesellschaft

en: Population and society

it: Popolazione e società

educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

en: Education, culture and sport

it: Istruzione, cultura e sport

regi

fr: Régions et villes

title_for_slug: richtplan-der-kantone-ur

fr: plan-directeur geodonnees-de-base

de: richtplan geobasisdaten

en: structure-plan official-geodata

it: piano-direttore geodati-di-base

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

fr: Richtplan des Kantons Uri inkl. Teil Skiinfrastruktur Andermatt / Urserntal.

geoinformation-kanton-uri

de: Lisag AG, Geoinformation Kanton Uri

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

fr: Richtplan der Kantone (UR)

de: Richtplan der Kantone (UR)

en: Richtplan der Kantone (UR)

it: Richtplan der Kantone (UR)


abfallanlagen-ur

ener

fr: Énergie

de: Energie

en: Energy

it: Energia

regi

de: Regionen und Städte

envi

fr: Environnement

de: Umwelt

title_for_slug: abfallanlagen-ur

en: WFS-Dienst des Kanton Uri

it: WFS-Dienst des Kanton Uri

fr: Die Verordnung vom 4. Dezember 2015 über die Vermeidung und die Entsorgung von Abfällen (Abfallverordnung, VVEA) definiert den Begriff Abfallanlagen als Anlagen, in denen Abfälle behandelt, verwertet, abgelagert oder zwischengelagert werden. Ausgenommen sind Materialentnahmestellen, in denen Aushub- und Ausbruchmaterial verwertet wird. Gemäss Artikel 4 und 5 VVEA weisen die Kantone in der Abfall- und Deponieplanung den Bedarf an Abfallanlagen und deren Standort aus. Der Bau und der Betrieb von Abfallanlagen bedürfen einer Bewilligung des zuständigen Amts (Artikel 37 Ziffer 5 Kantonales Umweltgesetz (KUG; RB 40.7011).

fr: Abfallanlagen (UR)

de: Abfallanlagen (UR)

en: Abfallanlagen (UR)

it: Abfallanlagen (UR)


klimakarten

title_for_slug: klimakarten

de: klima meteorologie raumplanung umweltbeobachtung siedlung

de: Datenshop

de: Produktansicht Geodatenshop

de: Die Klimakarten umfassen Klimaanalysekarten (Tag/Nacht) und Planungshinweiskarten (Tag/Nacht). Neben den Resultaten der FITNAH3D-Modellierung werden zur Orientierung die Eingangsdaten zur Landnutzung ebenfalls dargestellt. Die Daten umfassen Rasterdaten in einer Auflösung von 10x10m sowie Vektordaten.

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.

de: Klimakarten


schwarzplan

title_for_slug: schwarzplan

de: av grundkarte hintergrundkarte

fr: Map (Preview)

de: Map (Preview) Stadtplan

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

de: WMS Schwarzplan

de: Web Map Services WMS

de: WMTS Schwarzplan

de: Web Map Tile Services WMTS

de: Die Gebäudeflächen aus der Bodenbedeckung der Amtlichen Vermessung schwarz eingefärbt bilden eine einfache Grundkarte "Schwarzplan".

geoinformation-der-stadt-bern

de: Geoinformation Stadt Bern

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

de: Schwarzplan


maintainer: EnviDat Support

en: lidar tls lee-side-flow-field preferential-deposition alpine3d

en: Dataset

media_type: application/zip

format: ZIP

en:
The data presented here corresponds to the publication "A Close-Ridge Small-Scale Atmospheric Flow Field and its Influence on Snow Accumulation" (Gerber et al., 2017), which investigates an eddy-like structure in the vicinity of the Sattelhorn in the Dischma valley (Davos Switzerland) and its influence on snow accumulation. The dataset contains:

* Alpine3D: Alpine3D snow depth grids (25 m resolution) for two simulations with and without snow redistribution.
* ARPS: 10 ARPS simulations (25 m horizontal resolution) with different model setups (wind direction, wind speed, stability).
* LiDAR: Processed LiDAR PPI (D2_PPI_1h) and RHI (D2_cross_1h) across the valley with a hourly resolution for the period 27 October 2015 01:00 - 29 October 2015c 21:00 (spatial resolution: 25 m).
* meteostations-dischma: Meteorological station data of two meteorological stations in the Dischma valley with 10 minute resolution for the period 28 October 2015 - 30 October 2015.
* TLS: Snow depth change data (m) between 28 October 2015 and 30 October 2015 based on terrestrial laser scans.

For more details about the simulation and observation data, see Gerber et al., 2017.

Publication: Gerber et al., 2017: A Close-Ridge Small-Scale Atmospheric Flow Field and its Influence on Snow Accumulation, submitted to JGR - Atmospheres.

lee-side-flow-field

display_name: lee-side-flow-field

lidar

display_name: lidar

preferential-deposition

display_name: preferential-deposition

tls

display_name: tls

educ

de: Bildung, Kultur und Sport

envidat

fr: EnviDat: le portail de données environnementales

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

it: EnviDat: il portale dei dati ambientali

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

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

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

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

value: Envidat Harvester

en: DISCHMEX - Observations and simulations of the close-ridge small-scale atmospheric flow field and snow accumulation at Sattelhorn, Dischma valley, Davos, Switzerland.


en: air-temperature climate-change orographic-precipitation cmip5 precipitation-amount

en: Download Server

en:
Predicting future climatic conditions at high spatial resolution is essential for many applications in science. Here we present data for monthly time series of precipitation and minimum and maximum temperature for four downscaled global circulation models. We used model output statistics in combination with mechanistic downscaling (the CHELSA algorithm) to calculate mean monthly maximum and minimum temperatures, as well as monthly precipitation sums at ~5km spatial resolution globally for the years 1850-2100. We validated the performance of the downscaling algorithm by comparing model output with observed climates for the years 1950-2069.

CHELSA_cmip5_ts is licensed under a Creative Commons Attribution 2.0 Generic (CC BY 2.0) license.

air-temperature

display_name: air-temperature

climate-change

display_name: climate-change

orographic-precipitation

display_name: orographic-precipitation

precipitation-amount

display_name: precipitation-amount

en: High resolution monthly precipitation and temperature timeseries for the period 2006-2100


en: photovoltaic shortwave-radiation winter-energy-production snow albedo

en: Data Forward Scattering

en: GROUNDEYE model for multiple forward scattering in snow-covered terrain. Meteorological and topographical input data set for the Meierhofertäli near Davos, Switzerland, September 2017 - August 2018. Output data for September 2017 - August 2018 at hourly resolution and every pixel. Post-processing scripts for plotting and analysis.

en:
 Overview
We present GROUNDEYE, a new model of radiative transfer over mountainous terrain, which considers for the first time the forward scattering properties of snow.
Embedded in the surface process model Alpine3D, the new terrain radiation model GROUNDEYE receives interpolated real weather data with diffuse and direct broadband shortwave radiation for each pixel as well as a spatially variable plane albedo from the module SNOWPACK.

 Format
The GROUNDEYE model is written in c++, as is the entire environment of Alpine3d. The input and output data sets are .xlsx or .txt format, pre- and postprocessing including the generation of all figures is in .R format.

 Structure
In Data_Forward_Scattering.zip you will find all necessary data and model details to
reproduce the results of the JGR publication "How forward-scattering snow and terrain change the Alpine radiation balance with application to solar panels"

 - 	Model Input Data contains the meteorological and topographic input data sets, the BRDF, and preprocessing scripts.
 - Model Code contains the full model Alpine3d including the radiative transfer module GROUNDEYE.
 - Model Output Data contains the results of the simulation of terrain irradiance and irradiance of solar panels; hourly resolution, 1. Sptember 2017 - 31. August 2018.
 - Measurements Solar Testsite contains information and measurements of the solar testsite at the Totalp near Davos, Switzerland.
 - Postprocessing contains all R-Scripts used for the analysis and
plotting of the corresponding data.

In each of these folders you will find detailed information in
the file 'About this Folder.txt'.

albedo

display_name: albedo

photovoltaic

display_name: photovoltaic

shortwave-radiation

display_name: shortwave-radiation

snow

display_name: snow

winter-energy-production

display_name: winter-energy-production

educ

en: Education, culture and sport

en: Data, Code Link and Metadata on Forward Scattering of Snow at Totalp


photogrammetric-drone-data-dorfberg

maintainer: Yves Bühler

title_for_slug: photogrammetric-drone-data-dorfberg

en: orthophoto drone-data uav photogrammetry snow-depth-mapping snow-distribution dsm snow

en: Data Access

en:
- 3cm-resolution Orthophoto
- 10cm-resolution DSM
- 10cm-resolution snow depth raster
- original RGB images
- Agisoft Metashape Report

All products are also available as a cloud optimized geotiff.

en: The data was collected with a Wingtra Gen II drone and a Sony RX1R II sensor. In total, 10 flights were conducted at different dates, both in summer and winter. A DSM, an orthophoto, a snow depth raster and the original drone images from every flight are available at a high resolution (10cm and 3cm, respectively).

drone-data

display_name: drone-data

dsm

display_name: dsm

orthophoto

display_name: orthophoto

photogrammetry

display_name: photogrammetry

snow-depth-mapping

display_name: snow-depth-mapping

snow-distribution

display_name: snow-distribution

uav

display_name: uav

en: Photogrammetric Drone Data Dorfberg


mountain-permafrost-hydrology

maintainer: Jeannette Noetzli

title_for_slug: mountain-permafrost-hydrology

en: ice-rich-permafrost mountain-permafrost-hydrology mass-movements climate-change-impacts monitoring-techniques permafrost-degradation

en: DORA Persistent URL

media_type: application/pdf

format: PDF

en: Synthesis report chapter of the Hydro-CH2018 project of the Federal Office for the Environment (FOEN)

en: This report was prepared as one of the synthesis report chapters of the Hydro-CH2018 project of the Federal Office for the Environment (FOEN). In earlier reports such as the CH2014-IMPACTS report (CH-Impacts 2014), the topic of mountain permafrost hydrology was not addressed. Here, we provide a baseline of the available knowledge of mountain permafrost in the Swiss Alps for future reference. We compile an overview of the current understanding of mountain permafrost in the Swiss Alps, its distribution and characteristics, observed and projected changes, and expected impacts on slope stability, infrastructure and hydrological aspects. We also briefly describe the measurement techniques and modelling approaches applied. The chapter closes with a summary of the most important open research questions. The literature cited mainly includes studies on mountain permafrost published in scientific journals and assessments of long-term observation data. We focus on permafrost hydrology interactions wherever information is available. However, systematic studies on permafrost hydrology in mountain areas are still limited.

climate-change-impacts

display_name: climate-change-impacts

ice-rich-permafrost

display_name: ice-rich-permafrost

mass-movements

display_name: mass-movements

monitoring-techniques

display_name: monitoring-techniques

mountain-permafrost-hydrology

display_name: mountain-permafrost-hydrology

permafrost-degradation

display_name: permafrost-degradation

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: Mountain Permafrost Hydrology


en: co2 nitrogen soil picea-abies forest face

en: Water analyses

en: Analyses of water, especially soil solution

mimetype: text/csv

en: Soil C and N

en: Analyses of C, N and their stable isotopes in the soil, and soil pH

en: Resin bags

en: Ammonium, nitrate and their 15N in resin bags

en: Gross N mineralisation and nitrification

en: Gross rates of N mineralisation and nitrification (15N dilution)

en: Collection of soil solution

en: Soil solution collected by suction cups

en: Collection points

en: Collection points under the trees

en: Data obtained in the free-air CO2 enrichment (FACE) experiment at Hofstetten, NW Switzerland, between 2009 and 2016. This dataset contains analyses of the soil solution throughout the experiment, especially for nitrate, as well as different analyses done at the end of the experiment: ammonium and nitrate captured by ion-exchange resin bags and extracted from soil cores, gross N mineralisation and nitrification measured by isotope dilution.

face

display_name: face

forest

display_name: forest

nitrogen

display_name: nitrogen

picea-abies

display_name: picea-abies

soil

display_name: soil

en: Nitrogen availability under trees exposed to CO2 enrichment (FACE)


maintainer: Chunhong Zhao

en: austin land-dynamics urban-morphology landscape land-use

en: Land use dynamics in Austin since 1992

en: The present dataset is part of the published scientific paper Zhao C, Weng Q, Hersperger A M. Characterizing the 3-D urban morphology transformation to understand urban-form dynamics: a case study of Austin, Texas, USA. Landscape and urban planning, 2020, 203:103881. The overall objective of this paper is to understand urban form dynamics in the Austin metropolitan area for the periods 2006–2011 and 2011–2016. The study also aims to understand to what extent the changes in the built environment (in terms of ‘efficient growth’ versus ‘inefficient growth’) from the 1990s to 2016 in the Austin metropolitan area corresponded with ‘compact and efficient growth’ planning policy documents. The UMT distribution can be found in the paper. The area of transitioning UMT was provided in Table 2 and Table 3 can be found in the Appendix of the paper. A protocol was developed to perform the content analysis of the strategic plans and gather the data. The detailed list of protocol items can be found in Appendix B of the paper. This study demonstrates the advantage of applying Lidar data to characterize 3-D urban morphology type (UMT) transition and understand its dynamics, which helps develop a comprehensive understanding of the urbanization process and provides a tool for planning intentions and policies evaluation on urban development over time. The UMT maps can be found in Appendix A of the paper. The Lidar point datasets and the 30 × 30 m National Land Cover Database (NLCD) are the two main data sources of UMT mapping. Lidar datasets were gathered from different projects that had been conducted and collected by state agencies and other organizations between 2007 and 2017. Table A1 in the appendix in the paper shows the accuracies and acquisition parameters of the Lidar projects from 2007 to 2017. Land use/cover dynamics in Austin metropolitan area dataset provides Land use/cover patterns in the years 1992, 2001, 2004, 2006, 2008, 2011, 2013, 2016 with a spatial resolution of 30 meters. Since NLCD 1992 used a different classification system for the urban land classes, we first reclassified the NLCD 1992 using a customized Arcpy package.

austin

display_name: austin

land-dynamics

display_name: land-dynamics

land-use

display_name: land-use

landscape

display_name: landscape

urban-morphology

display_name: urban-morphology

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: Land use/cover dynamics in Austin metropolitan area since 1992


en: wms-data digital-planning digital-elevation-model seilaplan cable-yarding geoinformation-system open-source qgis-plugin swiss-geodata

en: View video on youtube!

en: WMS-Layer als Hintergrundkarten laden

en:
In order to digitally plan a cable line using the QGIS plugin ‘Seilaplan’, maps with various background information are helpful. In this tutorial we show you how to obtain maps that are helpful for cable line planning, for example a national map of Switzerland at different scales, the NFI vegetation height model or the NFI forest mix rate. For this we explain what WMS datasets are and how to integrate them into QGIS. No download of large data is needed for this, only a good internet connection. Please note that the tutorial language is German!

Link for the integration of WMS data: https://wms.geo.admin.ch/

Link to the description on the Swisstopo website:
https://www.geo.admin.ch/en/geo-services/geo-services/portrayal-services-web-mapping/web-map-services-wms.html

Link to the Seilaplan website: https://seilaplan.wsl.ch

**************************

Für die Verwendung des QGIS Plugins Seilaplan zur digitalen Seillinienplanung sind verschiedene Hintergrundkarten hilfreich. In diesem Tutorialvideo zeigen wir, was WMS Daten sind und wie man diese in QGIS einbinden kann. Dafür müssen die Daten nicht heruntergeladen werden. Es braucht lediglich eine gute Internetverbindung. Für die Seillinienplanung hilfreiche Karten sind bspw. die Landeskarte der Schweiz in verschiedenen Massstäben, das Vegetationshöhenmodell LFI oder der Waldmischungsgrad LFI.

Link zur Einbindung der WMS Daten: https://wms.geo.admin.ch/

Link zur Beschreibung auf der Swisstopo Webseite: https://www.geo.admin.ch/de/geo-dienstleistungen/geodienste/darstellungsdienste-webmapping-webgis-anwendungen/web-map-services-wms.html

Link zur Seilaplan-Website: https://seilaplan.wsl.ch

cable-yarding

display_name: cable-yarding

digital-elevation-model

display_name: digital-elevation-model

digital-planning

display_name: digital-planning

geoinformation-system

display_name: geoinformation-system

open-source

display_name: open-source

qgis-plugin

display_name: qgis-plugin

seilaplan

display_name: seilaplan

swiss-geodata

display_name: swiss-geodata

wms-data

display_name: wms-data

en: Seilaplan Tutorial: Load WMS layers as background maps


en: ash-dieback intraspecific-variation emerald-ash-borer cross-resistance defense-chemistry fraxinus invasive-species

en: Raw data-Publication cross-resistance in ash-New Phytologist

en:
What are the research data files about: Raw data on perfomance (dry weight, development and mortality) of emerald ash borer larvae used in published bioassays. Raw data on ash dieback leasion lenghts. Raw data on untargeted and targeted specialized ash metabolites.
Which methods were used: Bioassays in greenhouses and climate chambers to collect data on emerald ash borer and ash dieback perfomance. Phytochemical analyses on ash phloem for quantifiying specialized metabolites
When and where was the data created / extracted: Summer 2020-2021

format: XLS

en:
 What are the research data files about: Raw data on perfomance (dry weight, development and mortality) of emerald ash borer larvae used in published bioassays. Raw data on ash dieback leasion lenghts. Raw data on untargeted and targeted specialized ash metabolites.

Which methods were used: Bioassays in greenhouses and climate chambers to collect data on emerald ash borer and ash dieback perfomance. Phytochemical analyses on ash phloem for quantifiying specialized metabolites.

When and where was the data created / extracted: Summer 2020-2021

ash-dieback

display_name: ash-dieback

cross-resistance

display_name: cross-resistance

defense-chemistry

display_name: defense-chemistry

emerald-ash-borer

display_name: emerald-ash-borer

fraxinus

display_name: fraxinus

intraspecific-variation

display_name: intraspecific-variation

invasive-species

display_name: invasive-species

en: Raw data-Publication cross-resistance in ash - New Phytologist


maintainer: Francesco Comola

en: cohesion wind saltation sand sediment snow

en: Output of the model simulations

en: Model results on granular splash and saltation process of sand and snow particles

mimetype: application/zip

en:
The wind-driven saltation of sand and snow shapes dunes and ripples, generates dust emission, and erodes the surface of the Antarctic ice sheet. Here, we use a model based on the discrete element method to simulate grain-flow interactions and study the effect of particle cohesion on saltation dynamics.

The data contains the model output of granular splash simulations and saltation simulations. Granular splash, the main particle entrainment process in saltation, occurs upon impact of saltating particles with the granular bed. We performed Monte Carlo simulations of granular splash for loose sand grains and for cohesive ice grains. The analysis indicate that different values of cohesion have significant effects not on the number of splashed grains, on the ejection velocity, and the rebound velocity.

In our saltation simulations, we trigger particle movement with a single splash event at the inlet section section and let the system evolve until steady state. Our results show that saltation over cohesive surfaces is difficult to initiate but easy to sustain at low wind speed. The occurrence of transport thus depends on the history of the wind speed, a phenomenon known as hysteresis. We also show that saltation over cohesive surfaces presents higher mass fluxes but requires longer distances to saturate, which increases the size of the smallest stable surface ripples. Our model results have implications for large-scale aeolian processes on Earth and Titan, where sand grains are thought to be very cohesive.

cohesion

display_name: cohesion

saltation

display_name: saltation

sand

display_name: sand

sediment

display_name: sediment

snow

display_name: snow

wind

display_name: wind

en: Saltation of cohesive granular materials


maintainer: Franziska Koch

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

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

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

en: Read-me

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

mimetype: application/pdf

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

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

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

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

gps

display_name: gps

liquid-water-content

display_name: liquid-water-content

snow-cover

display_name: snow-cover

snow-depth

display_name: snow-depth

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


envidat-supports-open-science

maintainer: Ionut Iosifescu Enescu

title_for_slug: envidat-supports-open-science

en: envidat research-data-management open-science juypter-notebooks wsl

en: Article as PDF

en:
The article "EnviDat Supports Open Science" originally appeared in WSLintern No. 3 (2020), page 14-15 and it is republished here with permission from the WSLintern editorial team. It contains guidelines for WSL scientists about the main issues behind Open Science and how to pragmatically approach the complexities of doing Open Science with EnviDat’s support.

License: This article is released by WSL and the EnviDat team to the public domain under a Creative Commons 4.0 CC0 "No Rights Reserved" international license. You can reuse the information contained herein in any way you want, for any purposes and without restrictions.

display_name: envidat

juypter-notebooks

display_name: juypter-notebooks

open-science

display_name: open-science

research-data-management

display_name: research-data-management

wsl

display_name: wsl

en: EnviDat Supports Open Science


en: water-demand water-supply reservoirs climate-change water-scarcity

en: Water demand (deprecated)

en:
Warning: please use the corrected version 2, since this file contains errors for certain categories such as Livestock, Industry or Houshold.

Water demand estimates for the 307 medium-sized catchments for different categories for current and future conditions. One text file is provided per demand category. One column corresponds to one catchment (IDs compare to shapefile), The data are provided at monthly resolution in mm/d and can be converted to volumes by using the catchment area. E.g.
Q[mm/d] * catchment area [m²] /1000 = Q[m³/d]
or to obtain discharge in m³/s
Q[mm/d] * catchment area [m²]/1000/24/3600 = Q [m³/s].
Future irrigation and hydropower water demand are provided per climate model chain.

en: Shapefile of 307 catchments in Switzerland

en: Shapefile of 307 catchments for which estimates of water supply, demand, and reservoir volumes are provided. The OBJECTID entry corresponds to the catchment ID which is used as a reference in the other datasets provided.

en: Reservoir volumes

en: Reservoir volume for the 307 medium-sized catchments for different storage categories: natural lakes, artificial reservoirs, reservoirs for artificial snow production, drinking water reservoirs, and usable volumes of natural lakes. Unit: Mio m³. One column per catchment (see shapefile).

en: Water supply

en: Simulated discharge series for a reference period 1981-2010 and till the end of the century. Data are provided for 39 climate model chains and a control run based on the observed meteorology. Data are provided at daily resolution (mm/d).

en: Water demand version 2 (corrected version)

en:
The dataset Hydro-CH2018 reservoirs provides estimates of current and future water supply, water demand, and storage volumes for 307 medium-sized catchments in Switzerland.
Water supply for current (1981-2010) and future (2070-2099) climate conditions was simulated using the hydrological model PREVAH. For modeling current water supply, observed meteorological time series were used as input, while simulated meteorological time series derived from 39 model chains of the CH2018 initiative were used as an input for simulating future climate conditions.

Water demand was estimated for six categories:

- 1) Drinking water (households and tourism),
- 2) industry (second and third sector),
- 3) artificial snow production,
- 4) agriculture (irrigation and livestock feeding),
- 5) ecology (residual flows), and
- 6) hydropower.

Future estimates consider changes in demand related to population growth and changes in the hydrological conditions.
Storage volumes are provided for natural lakes (storage capacities and usable volumes), artificial reservoirs, reservoirs for artificial snow production, and drinking reservoirs.

A detailed description of the simulation and estimation procedures can be found in

*  Brunner, M.I., Björnsen Gurung, A., Zappa, M., Zekollari, H., Farinotti, D., Stähli, M., 2019. Present and future water scarcity in Switzerland: Potential for alleviation through reservoirs and lakes. Sci. Total Environ. 666, 1033–1047. https://doi.org/10.1016/j.scitotenv.2019.02.169.

This dataset contains the following information:

1.	Shapefile with the 307 medium-sized Swiss catchments.
2.   Textfiles with the water supply simulations for the control run and the 39 climate model chains (one file per chain) at daily resolution for the 307 catchments.
3.	Textfiles with the current and future demand estimates per category at monthly resolution for the 307 catchments.
4.	Textfiles with the storage volumes per category and catchment.

climate-change

display_name: climate-change

reservoirs

display_name: reservoirs

water-demand

display_name: water-demand

water-scarcity

display_name: water-scarcity

water-supply

display_name: water-supply

en: Hydro-CH2018 reservoirs


maintainer: Matthias Haeni

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

en: Site aerial photo (Chironico)

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

mimetype: image/jpeg

en: Site photo of the field station (CIF)

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

en: Data plot of the field station (CIF)

en: Data file.

en: Data plot of the forest station (CIB)

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

en: Forest station data (CIB)

en: Site photo of the forest station (CIB)

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

en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for two meteorological stations in Chironico in Switzerland where one station is located within a natural coniferous forest stand (CIB) with Norway spruce (_Picea abies_; 160-180 yrs) and European silver fir (_Abies alba_; 140-160 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, CIF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Chironico is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed

educ

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: Chironico, Switzerland: Long-term forest meteorological data from the Long-term Forest Ecosystem Research Programme (LWF), from 2000 onwards


maintainer: Thomas Wohlgemuth

en: biogeography biodiversity pairwise-stand-comparisons soil-impacts forest-management

en: references

en: Bibliography of all references cited in data_wohlgemuth_etal_Neobiota_2022.

en: headers

en: Description of headers for data_wohlgemuth_etal_Neobiota_2022

en: Baseline data

en: Compiled data on the impacts of seven important NNTs (Acacia dealbata, Ailanthus altissima, Eucalyptus globulus, Prunus serotina, Pseudotsuga menziesii, Quercus rubra, Robinia pseudoacacia) on physical and chemical soil and biodiversity in Europe, and summarise commonalities and differences. A total of 107 publications considered, studies referred to biodiversity attributes and soil properties: 2804 lines and 30 rows.

biodiversity

display_name: biodiversity

biogeography

display_name: biogeography

forest-management

display_name: forest-management

pairwise-stand-comparisons

display_name: pairwise-stand-comparisons

soil-impacts

display_name: soil-impacts

en: Impact of non-native tree species in Europe on soil properties and biodiversity: a review


maintainer: Yohann Chauvier

en: taxonomic-diversity grain-size soil ecological-indicator-values phylogenetic-diversity climate functional-diversity

en: Data access

en:
This dataset comprises a large array of ecological data for the European Alps:

  (1) Current soil and climate predictors at various resolutions.
  (2) GBIF observations of the European Alps Flora (~4,000 species).
  (3) Species habitat suitability maps (1,109 species; based on species observations filtered at 40x40-km)
  at various resolutions used in the study to generate (4); except 'expert'...
  (4) Expert, Taxonomic, phylogenetic and functional diversity of the study region at various resolutions
  (from 100-m to 40-km --> 100-m aggregated & mean to km + non-aggregated/predicted) for CLIM,
  SOIL and CLIM-SOIL models.
  (5) Ecological and altitudinal preferences of the European Alps Flora.
  (6) Data outputs of the related published article.
  (7) All scripts used for analyses.
  (8) Additional files used for analyses.
  (9) Improved set of species habitat suitability maps (~2,600 species; based on species observations
  filtered at 1x1-km) and related taxonomic diversity at 100-m resolution (aggregated to km +
  non-aggregated/predicted) for CLIM, SOIL and CLIM-SOIL models ---> not incorporated in the study.

climate

display_name: climate

ecological-indicator-values

display_name: ecological-indicator-values

functional-diversity

display_name: functional-diversity

grain-size

display_name: grain-size

phylogenetic-diversity

display_name: phylogenetic-diversity

soil

display_name: soil

taxonomic-diversity

display_name: taxonomic-diversity

en: Resolution in species distribution models shapes spatial patterns of plant multifaceted diversity


snow-drift-station-snow-and-air-data

maintainer: Benjamin Walter

title_for_slug: snow-drift-station-snow-and-air-data

en: temperature snow snow-height snow-depth snow-temperature raclets

en: Snow Depth

en: The snow depth (cm) was measured with a Lufft SHM-31 which was mounted at 1.7 m above ground. The time is given in UTC+1.

en: Air Temperature

en: The air temperature (°C) was measured with a Campbell CS-215 which was mounted at a height of 2.2 m above ground. The time is given in UTC+1.

en: Relative Humidity

en: The relative humidity (%) was measured with a Campbell CS-215 at a height of 2.2 m above ground. The time is given in UTC+1.

en: Snow Surface Temperature

en: The snow surface temperature (°C) was measured with a Campbell SI-111 at 0.7 m above ground. The time is given in UTC+1.

en: Snow and air data was monitored at Gotschnagrat (LON: 46.859 LAT: 9.849) by an infrarot radiometer (Campbell SI-111) for snow temperature (°C), a snow height sensor (Lufft SHM-31) for snow height change (cm) and a temperature and humidity sensor (Campbell CS-215) for air temperature (°C) and relative humidity (%). No filter was applied to the sensors and the smapling frequency was 1 Hz.

raclets

display_name: raclets

snow

display_name: snow

snow-depth

display_name: snow-depth

snow-height

display_name: snow-height

snow-temperature

display_name: snow-temperature

en: Snow Drift Station - Snow and Air Data


en: buffer gis density roads jupyter geospatial

en: Road data from OSM for the surroundings of Menzberg, Switzerland

en: Road Density Calculation (Python Notebook) online

en: Plots

en: Random plot locations

en:
This dataset contains the road and plot data used for the geospatial analysis example showcased in "Fostering Open Science at WSL with the EnviDat Environmental Data Portal", a contribution to the 5th Open Source Geospatial Research and Education Symposium (OGRS), 2018.
The example uses Jupyter Notebook to calculate road densities in the neighbourhood of sample plot locations with Python. Road data were extracted from OpenStreetMap, while the point data (sample plots) were generated manually.

buffer

display_name: buffer

density

display_name: density

geospatial

display_name: geospatial

gis

display_name: gis

jupyter

display_name: jupyter

roads

display_name: roads

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: Dataset for OGRS 2018 publication


en: landslide-early-warning soil-water-content soil-water-matrix-potential soil-temperature soil-moisture

en: In-situ soil moisture measurements, Trub, 2021-2022

en:
Volumetric soil water content (m3 m-3), soil water potential (mbar) and soil temperatures (oC) measured in two profiles and four depths each, as well as air temperature (oC) and precipitation (mm). Time intervall: 1 hour. Measurement period: April 2021-Dec 2022.
Location: slope, meadow
For a detailed description of site, soil and vegetation: see attached document.

en: In-situ soil moisture measurements, Wasen i.E., steep slope, 2019-2022

en:
Volumetric soil water content (m3 m-3), soil water potential (mbar) and soil temperatures (oC) measured in two profiles and four depths each, and two additional soil temperature measurements (oC), air temperature (oC) and precipitation (mm). Time intervall: 1 hour. Measurement period: April 2019-Dec 2022.
Location: steep hillslope, meadow
For a detailed description of site, soil and vegetation: see attached document.

en: In-situ soil moisture measurements, Wasen i.E., flat location, 2019-2022

en:
Volumetric soil water content (m3 m-3), soil water potential (mbar) and soil temperatures (oC) measured in two profiles and four depths each, and two additional soil temperature measurements (oC), air temperature (oC) and precipitation (mm). Time intervall: 1 hour. Measurement period: April 2019-Dec 2022.
Location: flat terrain, meadow
For a detailed description of site, soil and vegetation: see attached document.

en: In-situ soil moisture measurements, Napf, 2021-2022

en:
Volumetric soil water content (m3 m-3), soil water potential (mbar) and soil temperatures (oC) measured in two profiles and four depths each. Meteorological variables such as air temperature or precipitation can be received from MeteoSwiss.
Time intervall: 1 hour.
Measurement period: June 2021-Dec 2022.
Location: flat terrain, meadow (official MeteoSwiss station)
For a detailed description of site, soil and vegetation: see attached document.

en: In-situ soil moisture measurements, Langnau i E, 2021-2022

en:
Volumetric soil water content (m3 m-3), soil water potential (mbar) and soil temperatures (oC) measured in two profiles and four depths each. Meteorological variables, such as air temperature or precipitation can be received from MeteoSwiss.
Time intervall: 1 hour. Measurement period: June 2021-Dec 2022.
Location: flat terrain, meadow (measurement site of MeteoSwiss)
For a detailed description of site, soil and vegetation: see attached document.

en: Detailed description of soil moisture measurment sites, soil properties and sensor installations (in German)

en: In-situ soil moisture measurements, Ranflüh, 2021-2022

en:
Volumetric soil water content (m3 m-3), soil water potential (mbar) and soil temperatures (oC) measured in two profiles and four depths each, as well as air temperature (oC) and precipitation (mm). Time intervall: 1 hour. Measurement period: April 2021-Dec 2022.
Location: hillslope, meadow
For a detailed description of site, soil and vegetation: see attached document.

en: In the context of landslide early warning research, soil moisture (e.g. volumetric soil water content and soil water potential) has been measured at six locations in the Napf-region (Emmental, central Switzerland) since April 2019. Here, we provide the hourly mean values of all sensors from all 6 locations after a comprehensive data control, filtering and aggregation (from 10-min to 1-hour values). A sub-set of these data (for the locations Wasen i.E.) has previously been published in envidat.ch at https://www.doi.org/10.16904/envidat.369 applying the same data post-processing method. The dataset is complemented with meteorological data (locally measured air temperature and precipitation) as well as soil temperature. A detailed description of the sites and measurement installations can be found in a separate report (attached with the data).

landslide-early-warning

display_name: landslide-early-warning

soil-moisture

display_name: soil-moisture

soil-temperature

display_name: soil-temperature

soil-water-content

display_name: soil-water-content

soil-water-matrix-potential

display_name: soil-water-matrix-potential

en: In-situ soil moisture measurements Napf-region 2019-2022


en: anemometer wind wind-direction wind-speed wind-velocity raclets

en: Sonic wind component w

en:
The data contains values for w direction of the wind in a sampling frequency of 20 Hz.
Erroneour spikes were filterd in two steps.

1. Define moving window uₓ = u(i-3:i+3)
2. If u(i)-mean(uₓ) > 2*std(uₓ):u(i) = NaN

Frozen detectors resulted in continuous zero values (not filtered).
The wind speed and direction were calculated as follows:

wind speed = sqrt(u² + v²)
wind direction = 180° + (180° / PI)* arctan2 (-u, -v)

en: Sonic temperature

en: The data set contains values of temperature (°C) measured with the anemometer at a sampling frequency of 20 Hz.

en: Sonic wind component v

en:
The data contains values for v direction of the wind in a sampling frequency of 20 Hz.
Erroneour spikes were filterd in two steps.

1. Define moving window uₓ = u(i-3:i+3)
2. If u(i)-mean(uₓ) > 2*std(uₓ):u(i) = NaN

Frozen detectors resulted in continuous zero values (not filtered).
The wind speed and direction were calculated as follows:

wind speed = sqrt(u² + v²)
wind direction = 180° + (180° / PI)* arctan2 (-u, -v)

en: Sonic wind component u

en:
The data contains values for u direction of the wind in a sampling frequency of 20 Hz.
Erroneour spikes were filterd in two steps.

1. Define moving window uₓ = u(i-3:i+3)
2. If u(i)-mean(uₓ) > 2*std(uₓ):u(i) = NaN

Frozen detectors resulted in continuous zero values (not filtered).
The wind speed and direction were calculated as follows:

wind speed = sqrt(u² + v²)
wind direction = 180° + (180° / PI)* arctan2 (-u, -v)

en: Sonic time

en: The data set contains the time in YYYY-mm-dd HH:MM:SS.sss for the anemometer data. The time is given in UTC+1.

en: A Young 81000 sonic anemomenter was deployed at Gotschnagrat (LON: 46.859 LAT: 9.849) to record three components of the wind velocity (u, v, w in [m s‾ ¹]) and air temperature (Ts in [°C]). The anemomenter was mounted in direction North at a height of 1.5 m above snow surface at the beginning. The time within each data set is given in UTC+1. Instrument specifications can be found [here](http://www.youngusa.com/Manuals/81000-90(I).pdf) .

anemometer

display_name: anemometer

wind

display_name: wind

wind-direction

display_name: wind-direction

wind-speed

display_name: wind-speed

wind-velocity

display_name: wind-velocity

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: Snow Drift Station - 3D Ultrasonic


maintainer: Frank Techel

en: shapefile snow avalanches observations alps

en: Selected wet snow avalanche activity data Davos, Switzerland (2011-2014)

en: Zip archive with shapefiles for the selected wet snow avalanche polygons, including metadata.

en:
Polygons of wet snow avalanches in the Davos area, as documented by the Swiss avalanche warning service. The georeferenced outlines of the avalanches contain both the release as well as the deposit area, but without separating between both.

The dataset is a subset of the total record of 1615 avalanches classified as wet snow avalanches from October 2011 - September 2014, containing those 255 avalanches exceeding 0.0125 km^2. Every polygon comes with meta data, including the date of occurrence.

This dataset is the underlying dataset to:
Wever, N., Vera Valero, C. and Techel, F. (2018) _Coupled snow cover and avalanche dynamics simulations to evaluate wet snow avalanche activity_. Submitted to J. Geophys. Res., in review.

alps

display_name: alps

avalanches

display_name: avalanches

observations

display_name: observations

shapefile

display_name: shapefile

snow

display_name: snow


en: reproducibility jupyter-notebooks open-science hpc open-source research-data-management open-data

en: Open Science Support @ WSL (Poster)

en:
This poster was originally created for the swissuniversities Open Science Action Plan: Kick-Off Forum, and showed to the audience on 17.10.2019. It illustrates how the environmental data portal EnviDat provides the tools for fostering Open Science and Reproducibility of scientific research at WSL.

Supporting open science is a highly relevant user requirement for EnviDat and for implementing FAIR (Findability, Accessibility, Interoperability and Reusability) principles at dataset level.
EnviDat encourages WSL scientists to complement data publication with a complete description of research methods and the inclusion of the open source software, code or scripts used for processing the dataset or for obtaining the published results. By openly publishing open software (e.g. as Jupyter notebooks) alongside research data sets, researchers can contribute to mitigate reproducibility issues.

EnviDat also promotes and supports, where possible and practical, the publication of software as Jupyter notebooks. Jupyter notebooks provide a solution for improved documentation and interactive execution of open code in a wide range of programming languages (Python, R, Octave/Matlab, Java or Scala). These programming languages are widely used in environmental research at WSL and well supported by the Jupyter-compatible kernels. We have sucessfully interfaced EnviDat-hosted notebooks with the WSL High-Performance Computing (HPC) Linux Cluster through a JupyterHub/JuypterLab beta installation on the HPC cluster implemented in close collaboration with the WSL IT-Services.
For existing software that cannot be easily migrated to Jupyter Notebooks, the Open Science and Reproducibility is assisted by containerisation. We have proven that several Singularity containers can successfully run on WSL's HPC cluster.

Finally, the researchers can upload the data/results complemented by code (e.g. as Jupyter Notebooks, or Singularity containers) and any additional documentation in EnviDat. Consequently, they will receive a DOI for the entire dataset, which they can reference in their science paper in order to publish a more reproducible research.

_License_: This poster is released by WSL and the EnviDat team to the public domain under a Creative Commons 4.0 CC0 "No Rights Reserved" international license. You can reuse this poster in any way you want, for any purposes and without restrictions.

hpc

display_name: hpc

jupyter-notebooks

display_name: jupyter-notebooks

open-data

display_name: open-data

open-science

display_name: open-science

open-source

display_name: open-source

reproducibility

display_name: reproducibility

research-data-management

display_name: research-data-management

en: Open Science Support at the Swiss Federal Research Institute WSL. The EnviDat Concept


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

en: Forest station data (ALB)

en: Site aerial photo (Alpthal)

en: Site aerial photo from the Alpthal forest station. Source: Google. 2016. Site aerial photo from the Alpthal forest station. Retrieved November 11, 2016, from https://www.google.ch/maps

en: Data plot of the forest station (ALB)

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

en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for one meteorological station in Alpthal in Switzerland which is located within a natural coniferous forest (ALB) with Norway spruce (_Picea abies_; 180-230 yrs) as dominant tree species. The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Alpthal is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

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


en: sea-salt-aerosol arctic ice snow antarctica

en: Fig 1C

media_type: text/plain

en: Data to Figure 1C

format: TXT

mimetype: text/plain

en: Fib 1B_3

en: Individual data to mean shown in Figure 1B

en: Fig 1A

en: Data Figure 1A

en: Fig 1B_1

en: This table lists all data files in chronological order. "SampleTemp" refers to the reading of the PT-1000 at the side of the sample holder. "cellPressure" is the water vapour pressure during the measurements. From this, in presence of ice, the temperature of the ice sample can be calculated which is given in the column "iceTemp". "dT" is the difference, or temperature offset, between sensor's reading and the ice samples temperature. The offset is due to the sensor being mounted away from the cooled spot of the sample were it experiences heating from warmer parts of the sample holder. The off-set is used to calibrate the temperature sensor and the resulting temperature during the experiments is given in the column "temperature". "relHum" is the relative humidity above (supercooled) liquid and "concBrine" is the concentration of a NaCl solution in mol/l in equilibrium with ice at the experimental temperature. "Area" is the integrated PE signal.

en: Code

en: Matlab code to read and plot the data

en: Fig 1D

en: Data to Figure 1D

en: Fig 1F

en: Data to Figure 1F

en: Read Me

en: Description of the data tables

en: Table 2

en: This table lists all NEXAFS data files in chronological order with PE carbon to oxygen signal intensity ratios -from which the atomic ratio were calculated in the paper - before ("preCtoO") and after ("postCtoO") each NEXAFS measurement. Also listed is the change in Na ("lossSodi"), O ("lossOxy"), Cl ("lossChlor"), and C ("lossCarb") signal intensity after the NEXAFS measurement compared to prior to the NEXAFS measurement.

en: Fig 1F_2

en: Individual data to mean shown in Figure 1F

en: Fig 1E

en: Data to Figure 1E

en: Fig 1B_2

en: Fig 1F_1

en: Laboratory experiments are presented on the phase change at the surface of sodium chloride – water mixtures at temperatures between 259 K and 240 K. High selectivity to the upper few nanometres of the frozen solution – air interface is achieved by using electron yield near-edge X-ray absorption fine structure (NEXAFS) spectroscopy. We present the NEXAFS spectrum of the hydrohalite.

envidat

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

en: Data set on interfacial supercooling and the precipitation of hydrohalite in frozen NaCl solutions by X-ray absorption spectroscopy