katzen-entwicklung-nach-rassen

title_for_slug: katzen-entwicklung-nach-rassen

fr: races chats evolution-de-la-population animaux-de-compagnie

de: heimtiere populationsentwicklung katzen rassen

en: cats companion-animals breeds population-trends

it: animale-da-compagnia razze evoluzione-della-popolazione gatti

identifier: cats-breeds

fr: Population de chats 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 cats 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 Katzen, unterteilt nach Rassen im Zeitverlauf. Die Entwicklung der grössten Populationen wird dargestellt. Die vollständigen Daten zu allen Rassen finden sich im .csv.

it: Totale dei gatti 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).

animale-da-compagnia

display_name: animale-da-compagnia

animaux-de-compagnie

display_name: animaux-de-compagnie

breeds

display_name: breeds

cats

display_name: cats

chats

display_name: chats

companion-animals

display_name: companion-animals

gatti

display_name: gatti

heimtiere

display_name: heimtiere

katzen

display_name: katzen

races

display_name: races

rassen

display_name: rassen

razze

display_name: razze

fr: Chats - Évolution par race

de: Katzen - Entwicklung nach Rassen

en: Cats - Evolution by breed

it: Gatti - Evoluzione per razza


ziegen-geburten-nach-nutzungsarten

title_for_slug: ziegen-geburten-nach-nutzungsarten

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

de: nutzungsarten populationsentwicklung nutztiere ziegen geburten

en: type-of-use births population-trends livestock goats

it: nascite evoluzione-della-popolazione animale-da-reddito tipo-di-utilizzo caprini

label: Glossary / Documentation

label: Interactive plot

state: active

type: dataset

media_type: CSV

format: CSV

identifier: goats-birthDamUsage

fr: Total des naissances des chèvres enregistrés et par type d’utilisation de la mère (chèvres traites, autre chèvres de plus d'un an). Le type d'utilisation des petits ruminants a été introduit en décembre 2021. Les analyses effectuées sur cette base de données peuvent encore présenter des biais.

de: Anzahl gemeldete Geburten der registrierten Ziegen, unterteilt nach Nutzungsart der Mutter (Ziegen gemolken oder andere Ziegen >1-jährig). Die Nutzungsart von Kleinwiederkäuern wurde im Dezember 2021 eingeführt. Analysen auf dieser Datenbasis können noch Verzerrungen aufweisen.

en: Number of notified births of registered goats, subdivided by type of use of the dam (dairy goats, other goats >1 year of age). The type of use for small ruminants was introduced in December 2021 only. Analyses performed on this data may still show biases.

it: Totale delle nascite registrati delle capre per tipo di utilizzo di madre (capre munte, altri caprini di oltre 1 anno). Il tipo di utilizzo dei piccoli ruminanti è stato introdotto nel dicembre 2021. Le analisi effettuate su questa base di dati possono comunque mostrare delle distorsioni.

animale-da-reddito

display_name: animale-da-reddito

animaux-de-rente

display_name: animaux-de-rente

births

display_name: births

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

geburten

display_name: geburten

goats

display_name: goats

livestock

display_name: livestock

naissances

display_name: naissances

nascite

display_name: nascite

nutztiere

display_name: nutztiere

nutzungsarten

display_name: nutzungsarten

population-trends

display_name: population-trends

populationsentwicklung

display_name: populationsentwicklung

tipo-di-utilizzo

display_name: tipo-di-utilizzo

type-dutilisation

display_name: type-dutilisation

type-of-use

display_name: type-of-use

ziegen

display_name: ziegen

agriculture

fr: Agriculture, sylviculture

de: Land- und Forstwirtschaft

en: Agriculture, forestry

it: Agricoltura, selvicoltura

identitas

fr: Identitas AG

de: Identitas AG

en: Identitas AG

it: Identitas AG

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.

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.

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.

political_level: other

type: organization

approval_status: approved

key: guid

key: uri

value: DCAT Harvester Identitas

fr: Caprins - Naissances par type d'utilisation

en: Goats - Births by type of use

de: Ziegen - Geburten nach Nutzungsarten

it: Caprini - Nascite per tipo di utilizzo


katzen-verteilung-pro-gemeinde

title_for_slug: katzen-verteilung-pro-gemeinde

fr: animaux-de-compagnie commune chats cartes

de: karten gemeinde katzen heimtiere

en: municipality maps companion-animals cats

it: comune mappe gatti animale-da-compagnia

identifier: cats-map-commune

fr: Représentation géographique de la répartition des chats enrgistrés et vivants par commune: total, total par surface en kilomètre carré sans les étendues d'eau, total par 100 habitants, ainsi que les cinq races les plus populaires.

de: Geografische Darstellung der Dichte von lebenden, registrierten Katzen pro Gemeinde: Anzahl absolut, Anzahl pro Landfläche in km2 ohne Gewässer, Anzahl pro 100 Einwohner sowie die fünf beliebtesten Rassen.

en: Map of the distribution of registered and living cats by municipality: total, total by surface in km2 without waters, total by 100 inhabitants, and the five most popular breeds.

it: Rappresentazione geografica della distribuzione dei gatti registrati e vivi per comune: totale, totale per superficie in km2 senza acque,totale per 100 abitanti, e le cinque razze più popolari.

animale-da-compagnia

display_name: animale-da-compagnia

animaux-de-compagnie

display_name: animaux-de-compagnie

cartes

display_name: cartes

cats

display_name: cats

chats

display_name: chats

commune

display_name: commune

companion-animals

display_name: companion-animals

comune

display_name: comune

gatti

display_name: gatti

gemeinde

display_name: gemeinde

heimtiere

display_name: heimtiere

karten

display_name: karten

katzen

display_name: katzen

mappe

display_name: mappe

maps

display_name: maps

municipality

display_name: municipality

fr: Chats - Répartition par commune

en: Cats - Distribution by municipality

de: Katzen - Verteilung pro Gemeinde

it: Gatti - Distribuzione per comune


geography

fr: Géographie

de: Geographie

en: Geography

it: Geografia

territory

fr: Territoire et environnement

de: Raum und Umwelt

en: Territory and environment

it: Territorio e ambiente

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

label: Geometadaten Kanton Zürich: GeoLion

label: geocat.ch permalink

spatial: Kanton Zürich

de: Download via GIS-Browser

de: Die konzessionierten Wasserrechte wurden ab 1997 mit den öffentlichen Oberflächengewässern im GIS erfasst (ohne die ältesten gelöschten WR) 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) Für weitere Infos zu Nutzungszweck usw. klicke auf Mehr:

name:
Amt für Abfall, Wasser, Energie und Luft
             - Abteilung Wasserbau

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

de: Wasserrechte


rinder-sommerung-abgange

title_for_slug: rinder-sommerung-abgange

fr: estivage animaux-de-rente bovins

de: rinder nutztiere sommerung

en: livestock cattle summering

it: animale-da-reddito bovini estivazione

identifier: cattle-summering-deaths

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

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

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

it: Numero di partenze (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

fr: Bovins - Départs

en: Cattle - Losses

de: Rinder - Sömmerung Abgänge

it: Bovini - Partenze


schafe-altersstruktur

title_for_slug: schafe-altersstruktur

fr: ovins age animaux-de-rente evolution-de-la-population

de: schafe alter nutztiere populationsentwicklung

en: age population-trends sheep livestock

it: ovini animale-da-reddito eta evoluzione-della-popolazione

identifier: sheep-pyr

fr: Total des moutons enregistrés et vivants par catégorie d’âge et par sexe mâle et femelle (agneaux, brebis, béliers).

en: Number of registered and living sheep by age category and sexes male and female  (lambs, ewes, rams).

de: Verteilung der registrierten, lebenden Schafe nach Altersklassen und Geschlechtern männlich und weiblich (Lämmer, Auen, Widder) im Zeitverlauf.

it: Totale delle pecore registrati e vivi per categoria di età e per sesso maschile e femminile (agnelli, pecore, montoni).

age

display_name: age

alter

display_name: alter

eta

display_name: eta

evolution-de-la-population

display_name: evolution-de-la-population

evoluzione-della-popolazione

display_name: evoluzione-della-popolazione

ovini

display_name: ovini

ovins

display_name: ovins

population-trends

display_name: population-trends

populationsentwicklung

display_name: populationsentwicklung

schafe

display_name: schafe

sheep

display_name: sheep

agriculture

de: Land- und Forstwirtschaft

identitas

de: Identitas AG

fr: Ovins - Pyramide d'âges

de: Schafe - Altersstruktur

en: Sheep - Age pyramid

it: Ovini - Piramide delle età


rebflachen-in-hanglagen

agriculture

fr: Agriculture, sylviculture

en: Agriculture, forestry

it: Agricoltura, selvicoltura

title_for_slug: rebflachen-in-hanglagen

label: Link zum Fachportal

spatial: Landeskarte 1:25'000

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

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

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

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

fr: Aperçu map.geo.admin.ch

de: Vorschau map.geo.admin.ch

en: Preview map.geo.admin.ch

it: Previsione map.geo.admin.ch

format: SERVICE

fr: Serveur de téléchargement de geo.admin.ch

de: Download von data.geo.admin.ch

en: Download server from geo.admin.ch

it: Server di download di geo.admin.ch

format: HTML

fr: Service WMS de geo.admin.ch

de: WMS Dienst von geo.admin.ch

en: WMS Service from geo.admin.ch

it: Servizio WMS di geo.admin.ch

format: WMS

fr: WMTS pour le géoportail national

de: WMTS für das nationale Geoportal

en: WMTS for the national geoportal

format: WMTS

fr: Afin que la difficulté des conditions de production et de vie dans l’agriculture soit équitablement prise en compte, des contributions pour des terrains en pente sont versées pour les surfaces donnant droit aux paiements directs. Pour les paiements directs, deux jeux de géodonnées ont été créés : un sur les terrains en pente (OGéo 152.1 ; OPD art. 43) et un sur les vignobles en pente (OGéo 152.2 ; DZV art. 45). Plusieurs classes de déclivité sont prises en compte. Le jeu de données sur les vignobles en pente est l’un des supports qui permet de calculer les paiements directs au moyen d’un système d’informations géographiques SIG. Il a été élaboré à l’échelle nationale de manière harmonisée. La production se fonde sur le modèle de terrain « MNT-MO Grid 2m » de swisstopo. On a distingué les classes de déclivité suivantes : <30%; 30-50%; >50 %. Les surfaces en pente d’une superficie inférieure à un are n’ont pas été prises en compte.

de: Um erschwerende Produktions- und Lebensbedingungen in der Landwirtschaft angemessen zu berücksichtigen, werden Hangbeiträge für zu Direktzahlungen berechtigende Flächen ausgerichtet. Für die allgemeinen Direktzahlungen wurde ein Datensatz Hanglagen (GeoIV 152.1; DZV Art. 43) und für den Rebbau ein Datensatz Rebflächen in Hanglagen (GeoIV 152.2; DZV 45) erstellt. Es gelten unterschiedliche Hangneigungsklassen. Der Datensatz Rebflächen in Hanglagen ist Teil der Grundlagen zur Berechnung der landwirtschaftlichen Direktzahlungen unter Verwendung eines geografischen Informationssystems GIS. Er wurde gesamtschweizerisch einheitlich berechnet. Die Produktion beruht auf dem Terrainmodell „SwissAlti3D“ von swisstopo. Folgende Hangneigungsklassen wurden unterschieden: <30; 30-50; >50 Prozent. Hangneigungsflächen von weniger als 1 Are wurden nicht berücksichtigt.

en: In order to take the difficult production and living conditions in agriculture into adequate consideration, slope subsidies have been established for areas eligible for direct payments. A slopes dataset has been created for general direct payments (GeoIV 152.1; DSO Art. 43) and a dataset for vineyards on slopes for viticulture payments (GeoIV 152.2; DSO Art. 45). There are different categories of slope gradient. The vineyards on slopes dataset is part of the data used to calculate the agricultural direct payments on the basis of a geographic information system (GIS). Standardised calculations have been produced for the whole of Switzerland. The production is based on the "SwissAlti3D" terrain model from swisstopo. A distinction is made between the following slope gradient categories: <30; 30-50; >50 percent. Sloping areas less than 100 square metres in size were not taken into consideration.

it: Per tenere opportunamente conto di condizioni di produzione e di vita difficili nell'agricoltura, vengono corrisposti contributi di declività per superfici che danno diritto a pagamenti diretti. Per i pagamenti diretti generali è stato creato un set di dati "Zone declive" (OGI 152.1; OPD art. 43) e un secondo set di dati "Vigneti in zone declive" (OGI 152.2; OPD art. 45). Sono previste diverse classi di declività. Il set di dati "Zone declive" fa parte delle basi di calcolo per i pagamenti diretti agricoli, applicando un sistema d'informazione geografica SIG. I calcoli sono stati effettuati secondo criteri unitari per tutta la Svizzera. La produzione si basa sul modello del terreno "SwissAlti3D" di swisstopo. Si distinguono le seguenti classi di declività: <30; 30-50; >50 per cento. Le superfici declive inferiori a un'ara non sono state considerate.

bundesamt-fur-landwirtschaft-blw

fr: Office fédéral de l'agriculture OFAG

de: Bundesamt für Landwirtschaft BLW

en: Federal Office for Agriculture FOAG

it: Ufficio federale dell'agricoltura UFAG

fr: L’Office fédéral de l’agriculture (OFAG) est le centre de compétence de la Confédération pour les questions relevant du secteur agricole. Il œuvre pour une agriculture multifonctionnelle.

de: Das Bundesamt für Landwirtschaft (BLW) ist das Kompetenzzentrum des Bundes für den Agrarsektor. Es setzt sich für eine multifunktionale Landwirtschaft ein.

en: The Federal Office for Agriculture (FOAG) is the Confederation's competence center for all core issues relating to the agricultural sector. The FOAG promotes multifunctional agriculture.

it: L’Ufficio federale dell’agricoltura (UFAG) è il centro di competenza della Confederazione per le questioni inerenti al settore agricolo. Esso si impegna per un'agricoltura multifunzionale.

political_level: confederation

value: BLW - Geocat Harvester

fr: Surfaces viticoles en pente

de: Rebflächen in Hanglagen

en: Viticulture on slopes

it: Vigneti in zone declive


geography

fr: Géographie

de: Geographie

en: Geography

it: Geografia

territory

fr: Territoire et environnement

de: Raum und Umwelt

en: Territory and environment

it: Territorio e ambiente

de: anbaueignung klimawirkung meteorologisch-geografische-kennwerte bodennutzung bgdi-bundesgeodaten-infrastruktur

spatial: Schweiz

de: Download Server von geo.admin.ch

fr: RESTful API de geo.admin.ch

de: RESTful API von geo.admin.ch

en: RESTful API from geo.admin.ch

it: RESTful API da geo.admin.ch

format: API

fr: La carte établie à l'échelle 1:200 000 reflète, une appréciation générale des conditions climatiques et des restrictions à l'égard de l'agriculture, subdivisées en vingt catégories d'aptitudes. Son but est de souligner les différences sensibles relatives aux possibilités de culture propres aux diverses régions.

de: Auf den vier Blättern der Karte im Massstab 1:200 000 ist eine Gesamtbeurteilung der klimatischen Voraussetzungen und Einschränkungen für die Landwirtschaft, in 20 Kategorien, wiedergegeben. Die Karte will auf die erheblichen Unterschiede in den Anbaumöglichkeiten der einzelnen Regionen hinweisen.

en: The four sheets of the map, which has a scale of 1:200,000, show an overall evaluation of the climatic conditions and restrictions for agriculture, broken down into 20 categories. The map aims to highlight the significant differences in the cultivation options available in the individual regions.

it: I quattro fogli della carta in scala 1:200 000 forniscono una valutazione d'insieme delle condizioni climatiche e delle restrizioni relative all'agricoltura, suddivise in 20 categorie. La carta intende sottolineare le differenze di rilievo relative alle possibilità di coltivazione esistenti nelle singole regioni.

fr: Cartes des aptitudes climatiques pour l'agriculture en Suisse - Cultures spéciales

de: Klimaeignungskarte für die Landwirtschaft - Spezialkulturen

en: Climate suitability map for agriculture - Special crops

it: Carta delle attitudini climatiche per l'agricoltura in Svizzera - Colture speciali


hanglagen

agriculture

de: Land- und Forstwirtschaft

title_for_slug: hanglagen

de: WMTS für das Nationale Geoportal

fr: Afin que la difficulté des conditions de production et de vie dans l’agriculture soit équitablement prise en compte, des contributions pour des terrains en pente sont versées pour les surfaces donnant droit aux paiements directs. Pour les paiements directs généraux, deux jeux de géodonnées ont été créés : un sur terrains en pente (OGéo 152.1 ; OPD art. 43) et un sur les vignobles en pente (OGéo 152.2 ; DZV art. 45). Plusieurs classes de déclivité sont prises en compte. Le jeu de données sur les terrains en pente est l’un des supports qui permet de calculer les paiements directs au moyen d’un système d’informations géographiques SIG. Il a été élaboré à l’échelle nationale de manière harmonisée. La production se fonde sur le modèle de terrain « MNT-MO Grid 2m » de swisstopo. On a distingué les classes de déclivité suivantes : <18% ; 18-35% ; 35-50%; >50%. Les surfaces en pente d’une superficie inférieure à un are n’ont pas été prises en compte.

de: Um erschwerende Produktions- und Lebensbedingungen in der Landwirtschaft angemessen zu berücksichtigen, werden Hangbeiträge für zu Direktzahlungen berechtigende Flächen ausgerichtet. Für die allgemeinen Direktzahlungen wurde ein Datensatz Hanglagen (GeoIV 152.1; DZV Art. 43) und für den Rebbau ein Datensatz Rebflächen in Hanglagen (GeoIV 152.2; DZV Art. 45) erstellt. Es gelten unterschiedliche Hangneigungsklassen. Der Datensatz Hanglagen ist Teil der Grundlagen zur Berechnung der landwirtschaftlichen Direktzahlungen unter Verwendung eines geografischen Informationssystems GIS. Er wurde gesamtschweizerisch einheitlich berechnet. Die Produktion beruht auf dem Terrainmodell „SwissAlti3D“ von swisstopo. Folgende Hangneigungsklassen wurden unterschieden: <18; 18-35; 35-50; >50 Prozent. Hangneigungsflächen von weniger als 1 Are wurden nicht berücksichtigt.

en: In order to take the difficult production and living conditions in agriculture adequately into consideration, slope subsidies have been established for areas eligible for direct payments. A slopes dataset has been created for general direct payments (GeoIV 152.1; DSO Art. 43) and a dataset for vineyards on slopes for viticulture payments (GeoIV 152.2; DSO Art. 45). There are different categories of slope gradient. The slopes dataset is part of the data used to calculate the agricultural direct payments on the basis of a geographic information system (GIS). Standardised calculations have been produced for the whole of Switzerland. The production is based on the "SwissAlti3D" terrain model from swisstopo. A distinction is made between the following slope gradient categories: <18; 18-35; 35-50; >50 percent. Sloping areas less than 100 square metres in size were not taken into consideration.

it: Per tenere opportunamente conto di condizioni di produzione e di vita difficili nell'agricoltura, vengono corrisposti contributi di declività per superfici che danno diritto a pagamenti diretti. Per i pagamenti diretti generali è stato creato un set di dati "Zone declive" (OGI 152.1; OPD art. 43) e un secondo set di dati "Vigneti in zone declive" (OGI 152.2; OPD art. 45). Sono previste diverse classi di declività. Il set di dati "Zone declive" fa parte delle basi di calcolo per i pagamenti diretti agricoli, applicando un sistema d'informazione geografica SIG. I calcoli sono stati effettuati secondo criteri unitari per tutta la Svizzera. La produzione si basa sul modello del terreno "SwissAlti3D" di swisstopo. Si distinguono le seguenti classi di declività: <18; 18-35; 35-50; >50 per cento. Le superfici declive inferiori a un'ara non sono state considerate.

fr: Terrains en pente

de: Hanglagen

en: Hillsides and slopes

it: Zone declive


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

de: Vorschau map.geo.admin.ch

de: WMS Dienst von geo.admin.ch

fr: Cartes des aptitudes climatiques pour l'agriculture en Suisse - cultures céréalières

de: Klimaeignungskarte für die Landwirtschaft - Getreidebau

en: Climate suitability map for agriculture - Cereal crops

it: Carta delle attitudini climatiche per l'agricoltura in Svizzera - Cerealicoltura


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

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

bundesamt-fur-landwirtschaft-blw

de: Bundesamt für Landwirtschaft BLW

de: Das Bundesamt für Landwirtschaft (BLW) ist das Kompetenzzentrum des Bundes für den Agrarsektor. Es setzt sich für eine multifunktionale Landwirtschaft ein.

fr: Cartes des aptitudes climatiques pour l'agriculture en Suisse - vue d'ensemble

de: Klimaeignungskarte für die Landwirtschaft - Übersicht

en: Climate suitability map for agriculture - Overview

it: Carta delle attitudini climatiche per l'agricoltura in Svizzera - Visione d'insieme


geography

de: Geographie

territory

de: Raum und Umwelt

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

fr: Aperçu map.geo.admin.ch

en: Preview map.geo.admin.ch

fr: Serveur de téléchargement de geo.admin.ch

en: Download server from geo.admin.ch

fr: Cartes des aptitudes climatiques pour l'agriculture en Suisse - maïs grain

de: Klimaeignungskarte für die Landwirtschaft - Körnermais

en: Climate suitability map for agriculture - Maize

it: Carta delle attitudini climatiche per l'agricoltura in Svizzera - Mais da granella


de: anbaueignung klimawirkung meteorologisch-geografische-kennwerte bodennutzung bgdi-bundesgeodaten-infrastruktur

it: Previsione map.geo.admin.ch

de: Download Server von geo.admin.ch

it: Server di download di geo.admin.ch

fr: Service WMS de geo.admin.ch

en: WMS Service from geo.admin.ch

de: RESTful API von geo.admin.ch

fr: Cartes des aptitudes climatiques pour l'agriculture en Suisse - pommes de terre

de: Klimaeignungskarte für die Landwirtschaft - Kartoffeln

en: Climate suitability map for agriculture - Potatoes

it: Carta delle attitudini climatiche per l'agricoltura in Svizzera - Patate


it: Servizio WMS di geo.admin.ch

de: Auf den vier Blättern der Karte im Massstab 1:200 000 ist eine Gesamtbeurteilung der klimatischen Voraussetzungen und Einschränkungen für die Landwirtschaft, in 20 Kategorien, wiedergegeben. Die Karte will auf die erheblichen Unterschiede in den Anbaumöglichkeiten der einzelnen Regionen hinweisen.

bundesamt-fur-landwirtschaft-blw

fr: Office fédéral de l'agriculture OFAG

en: Federal Office for Agriculture FOAG

it: Ufficio federale dell'agricoltura UFAG

fr: L’Office fédéral de l’agriculture (OFAG) est le centre de compétence de la Confédération pour les questions relevant du secteur agricole. Il œuvre pour une agriculture multifonctionnelle.

en: The Federal Office for Agriculture (FOAG) is the Confederation's competence center for all core issues relating to the agricultural sector. The FOAG promotes multifunctional agriculture.

fr: Cartes des aptitudes climatiques pour l'agriculture en Suisse - Terres cultivées

de: Klimaeignungskarte für die Landwirtschaft - Kulturland

en: Climate suitability map for agriculture - Cultivated land

it: Carta delle attitudini climatiche per l'agricoltura in Svizzera - Terreni coltivi


geography

fr: Géographie

en: Geography

it: Geografia

territory

fr: Territoire et environnement

en: Territory and environment

it: L’Ufficio federale dell’agricoltura (UFAG) è il centro di competenza della Confederazione per le questioni inerenti al settore agricolo. Esso si impegna per un'agricoltura multifunzionale.

fr: Cartes des aptitudes climatiques pour l'agriculture en Suisse - culture fourragère

de: Klimaeignungskarte für die Landwirtschaft - Futterbau

en: Climate suitability map for agriculture - Forage crops

it: Carta delle attitudini climatiche per l'agricoltura in Svizzera - Foraggicoltura


it: Territorio e ambiente

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

fr: RESTful API de geo.admin.ch

en: RESTful API from geo.admin.ch

it: RESTful API da geo.admin.ch

fr: La carte établie à l'échelle 1:200 000 reflète, une appréciation générale des conditions climatiques et des restrictions à l'égard de l'agriculture, subdivisées en vingt catégories d'aptitudes. Son but est de souligner les différences sensibles relatives aux possibilités de culture propres aux diverses régions.

en: The four sheets of the map, which has a scale of 1:200,000, show an overall evaluation of the climatic conditions and restrictions for agriculture, broken down into 20 categories. The map aims to highlight the significant differences in the cultivation options available in the individual regions.

it: I quattro fogli della carta in scala 1:200 000 forniscono una valutazione d'insieme delle condizioni climatiche e delle restrizioni relative all'agricoltura, suddivise in 20 categorie. La carta intende sottolineare le differenze di rilievo relative alle possibilità di coltivazione esistenti nelle singole regioni.

fr: Cartes des aptitudes climatiques pour l'agriculture en Suisse - culture dérobées

de: Klimaeignungskarte für die Landwirtschaft - Sommer-Zwischenfruchtbau

en: Climate suitability map for agriculture - Summer catch crops

it: Carta delle attitudini climatiche per l'agricoltura in Svizzera - Colture intercalari


de: anbaueignung boden meteorologisch-geografische-kennwerte bgdi-bundesgeodaten-infrastruktur

de: Vorschau map.geo.admin.ch

de: WMS Dienst von geo.admin.ch

fr: Sur la carte, chaque unité cartographique est assortie d'un code composé d'une lettre majuscule et d'un chiffre. Les majuscules représentent 25 différentes unités géologiques et géomorphologiques. Les lettres sont subdvisées en divers éléments du paysage, ordonnés selon le type de roche-mère, l'exposition et la pente. En outre, à chaque unité cartographique correspond un ou plusieurs types de sol. Les 144 unités cartographiques sont réparties sur la carte en 18 groupes de couleur différente, en fonction de l'aptitude des sols. Cette classification repose essentiellement sur des critères agricoles.

de: In der Bodeneignungskarte ist jede Kartierungseinheit mit einem Code aus einem Grossbuchstaben und einer Zahl versehen. Die Buchstaben stehen für 25 verschiedene physiographische Einheiten. Die Zahlen geben verschiedene Formelemente der Landschaften wieder, geordnet nach Muttergestein, Hanglage und Hangneigung. Jede Kartierungseinheit entspricht zudem einem oder mehreren Bodentypen. Die insgesamt 144 Kartierungseinheiten sind in der Karte nach dem Gesichtspunkt der Bodeneignung in 18 unterschiedlich eingefärbten Gruppen zusammengefasst. Für diese Klassierung wurden in erster Linie landwirtschaftliche Kriterien verwendet.

en: On the soil suitability map, each mapping unit has a code consisting of an uppercase letter and a number. The letters stand for 25 different physiographical units. The numbers represent different elements of the landscape, categorised by bedrock, slope and gradient. Each mapping unit also corresponds to one or more soil types. There are 144 mapping units in total. They are grouped together into 18 different coloured categories on the map from the perspective of soil suitability. Agricultural criteria have primarily been used for this classification.

it: Sulla carta delle attitudini dei suoli ogni unità cartografica è dotata di un codice composto da una lettera maiuscola e da un numero. Le lettere rappresentano 25 unità fisiografiche differenti. Il numero indica diversi elementi formali dei paesaggi, ordinati in base a roccia madre, esposizione e declività. Inoltre, ogni unità cartografica contiene una o più tipologie di suolo. Le 144 unità cartografiche totali sono classificate, secondo l'attitudine del suolo, in 18 gruppi caratterizzati da colori differenti. Questa classificazione si basa essenzialmente su criteri di tipo agricolo.

fr: Carte digitale des aptitudes des sols de la Suisse - Terres cultivées

de: Digitale Bodeneignungskarte der Schweiz - Kulturland

en: Digital soil suitability map of Switzerland - Cultivated land

it: Carta digitale delle attitudini dei suoli svizzeri - Terreni coltivi


geography

de: Geographie

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

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

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

de: Download server from geo.admin.ch

en: Download Server von geo.admin.ch

de: WMS Service from geo.admin.ch

fr: Comme pour l'eau, on peut donner le nombre d'équivalents en cation que le sol peut retenir. Ces milliéquivalents sont donnés pour un colonne de sol de 1 cm2 de base et d'une hauteur correspondante à la profondeur physiologique. On en tire le nombre de milliéquivalents (mev) de cations par cm2.

de: Analog dem Wasserspeichervermögen soll angegeben werden, wieviele Äquivalente an Kationen durch den Boden gespeichert werden. Die gespeicherten Milliäquivalente Kationen wurden auf eine Bodensäule mit 1 cm2 Grundfläche und eine der physiologischen Gründigkeit entsprechenden Höhe umgerechnet. Daraus ergaben sich die Milliäquivalente (mval) Kationen pro cm2.(Details: Bodeneignungskarte der Schweiz März 1980)

en: In a similar way to water storage capacity, the aim is to specify how many equivalents of cations can be stored in the soil. The stored milliequivalents of cations were converted on the basis of a column of soil with a surface area of 1cm2 and a height corresponding to the physiological root penetration depth. This gave the milliequivalents (mEq) of cations per cm2. (Details: Soil suitability map of Switzerland, March 1980).

it: Analogamente alla capacità di stoccaggio idrico, occorre indicare il numero di equivalenti di cationi che il suolo può ritenere. Questi milliequivalenti sono indicati per una colonna di suolo con base di 1 cm2 e altezza corrispondente alla profondità fisiologica. Se ne ricava il numero di milliequivalenti (meq) di cationi per cm2. (Dettagli: carta delle attitudini dei suoli svizzeri, marzo 1980).

bundesamt-fur-landwirtschaft-blw

de: Bundesamt für Landwirtschaft BLW

de: Das Bundesamt für Landwirtschaft (BLW) ist das Kompetenzzentrum des Bundes für den Agrarsektor. Es setzt sich für eine multifunktionale Landwirtschaft ein.

fr: Carte digitale des aptitudes des sols de la Suisse - Capacité de rétention en substances nutritives

de: Digitale Bodeneignungskarte der Schweiz - Nährstoffspeichervermögen

en: Digital soil suitability map of Switzerland - Nutrient storage capacity

it: Carta digitale delle attitudini dei suoli svizzeri - Capacità di stoccaggio di sostanze nutritive


territory

de: Raum und Umwelt

fr: Aperçu map.geo.admin.ch

en: Preview map.geo.admin.ch

it: Previsione map.geo.admin.ch

en: WMS Service from geo.admin.ch

fr: Plus d'information et téléchargement des données (uniquement en allemand)

de: Weitere Infos und Datendownload

de: RESTful API von geo.admin.ch

fr: Il s'agit de l'eau qui est retenue dans le sol par les forces de tension et qui est facilement accessible aux plantes (0,1 - 1,0 atm). On peut admettre grosso modo 1 mm d'eau est facilement accessible par 1 cm de profondeur physiologique. La profondeur physiologique s'obtient à partir de la profondeur d'enracinement, sous déduction de la place des pierres, de celle des gros vides dans les sols sablo-graveleux, d'éléments structuraux compacts et d'horizons pauvres en oxygène.

de: Der Begriff bezieht sich auf das Wasser, das vom Boden durch Tensionskräfte festgehalten und durch die Pflanzen leicht aufnehmbar ist (Saugspannung 0,1 - 1 Atm). Überschlagsmässig kann pro 1 cm physiologische Gründigkeit mit 1 mm leicht verfügbarem Wasser (0,1 - 1 Atm Saugspannung) gerechnet werden. Die physiologische Gründigkeit ergibt sich aus der gesamten durchwurzelbaren Schicht, abzüglich Bodenskelett und grosse Hohlräume in Sand-Kiesböden, zudem Abzüge für kompaktes Gefüge und sauerstoffarme Horizonte.(Details: Bodeneignungskarte der Schweiz, März 1980)

en: The term refers to water which is retained in the soil by tension forces and can easily be taken up by plants (soil moisture tension 0.1 - 1 Atm). Estimates show that there is likely to be 1 mm of easily available water (soil moisture tension 0.1 - 1 Atm) for each 1 cm of physiological root penetration depth. The physiological root penetration depth is determined by the entire layer that can be penetrated by roots, with deductions for stones and large cavities in sand and gravel soils, together with deductions for compact structures and soil horizons with a low oxygen content. (Details: Soil suitability map of Switzerland, March 1980).

it: Si tratta dell'acqua ritenuta dal suolo attraverso le forze di tensione e facilmente assimilabile dai vegetali (0,1 - 1,0 atm). Si può stimare approssimativamente che per ogni cm di profondità fisiologica è facilmente assimilabile 1 mm d'acqua. La profondità fisiologica si calcola sottraendo dallo strato penetrabile dalle radici lo scheletro, grandi cavità dei suoli sabbioso-ghiaiosi, strutture compatte e orizzonti poveri di ossigeno. (Dettagli: carta delle attitudini dei suoli svizzeri, marzo 1980).

fr: Carte digitale des aptitudes des sols de la Suisse - Capacité de rétention hydrique

de: Digitale Bodeneignungskarte der Schweiz - Wasserspeichervermögen

en: Digital soil suitability map of Switzerland - Water storage capacity

it: Carta digitale delle attitudini dei suoli svizzeri - Capacità di stoccaggio idrico


de: anbaueignung boden meteorologisch-geografische-kennwerte bgdi-bundesgeodaten-infrastruktur

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

fr: Serveur de téléchargement de geo.admin.ch

de: Download Server von geo.admin.ch

en: Download server from geo.admin.ch

it: Server di download di geo.admin.ch

fr: Service WMS de geo.admin.ch

it: Servizio WMS di geo.admin.ch

fr: La perméabilité est mesurée en laboratoire sur des échantillons cylindriques saturés. Les observations de terrain permettent d'etablir des relations entre les précipitations, la perméablilité et les traits morphologiques. On a pris en considération l'horizon le moins perméable des 50 cm supérieurs.

de: Die Wasserdurchlässigkeit wurde an gesättigten Stechzylinderproben im Labor bestimmt. Aus Beobachtungen im Feld ergaben sich Beziehungen zwischen dem Niederschlag, der Durchlässigkeit und den morphologischen Merkmalen. Berücksichtigt wurde der am schlechtesten durchlässige Horizont der obersten 50 cm.(Details: Bodeneignungskarte der Schweiz, März 1980)

en: Permeability is measured using saturated soil core samples in the laboratory. Observations in the field highlighted a relationship between precipitation, permeability and morphological features. The least permeable soil horizon of the top 50 cm was evaluated. (Details: Soil suitability map of Switzerland, March 1980).

it: La permeabilità è misurata in laboratorio su campioni cilindrici saturi. Le osservazioni del terreno consentono di stabilire correlazioni tra le precipitazioni, la permeabilità e i tratti morfologici. È stato considerato l'orizzone meno permeabile dei 50 cm superiori. (Dettagli: carta delle attitudini dei suoli svizzeri, marzo 1980).

bundesamt-fur-landwirtschaft-blw

fr: Office fédéral de l'agriculture OFAG

en: Federal Office for Agriculture FOAG

it: Ufficio federale dell'agricoltura UFAG

fr: L’Office fédéral de l’agriculture (OFAG) est le centre de compétence de la Confédération pour les questions relevant du secteur agricole. Il œuvre pour une agriculture multifonctionnelle.

en: The Federal Office for Agriculture (FOAG) is the Confederation's competence center for all core issues relating to the agricultural sector. The FOAG promotes multifunctional agriculture.

fr: Carte digitale des aptitudes des sols de la Suisse - Perméabilité

de: Digitale Bodeneignungskarte der Schweiz - Wasserdurchlässigkeit

en: Digital soil suitability map of Switzerland - Permeability

it: Carta digitale delle attitudini dei suoli svizzeri - Permeabilità


geography

fr: Géographie

de: Geographie

en: Geography

it: Geografia

territory

fr: Territoire et environnement

en: Territory and environment

it: Territorio e ambiente

de: Vorschau map.geo.admin.ch

de: WMS Dienst von geo.admin.ch

fr: RESTful API de geo.admin.ch

en: RESTful API from geo.admin.ch

fr: La mouillure est le fait d'une nappe phréatique (de pente ou de fond).

de: Wenn ausser dem Niederschlagswasser noch Fremdwasser (Hang- oder Grundwasser) im Boden vorhanden ist, so spricht man von Fremdvernässung.(Details: Bodeneignungskarte der Schweiz, März 1980)

en: If external water (runoff from slopes and groundwater) is present in the soil as well as precipitation, this is described as external waterlogging. (Details: Soil suitability map of Switzerland, March 1980).

it: Per saturazione idrica s'intende la presenza, oltre alle acque meteoriche, di acque estranee (di pendio o di falda). (Dettagli: carta delle attitudini dei suoli svizzeri, marzo 1980).

it: L’Ufficio federale dell’agricoltura (UFAG) è il centro di competenza della Confederazione per le questioni inerenti al settore agricolo. Esso si impegna per un'agricoltura multifunzionale.

fr: Carte digitale des aptitudes des sols de la Suisse - Mouillure

de: Digitale Bodeneignungskarte der Schweiz - Vernässung

en: Digital soil suitability map of Switzerland - Waterlogging

it: Carta digitale delle attitudini dei suoli svizzeri - Saturazione idrica


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

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

it: RESTful API da geo.admin.ch

fr: On entend par pierrosité l'ensemble des fragments minéraux plus gros que 2 mm (refus du tamis). Envisagés principalement dans les 50 cm supérieurs du profil du sol.

de: Als Skelett bezeichnet man die mineralischen Bodeneinzelteile, die grösser als 2 mm sind (Siebrückstand). Es wurden vorwiegend die obersten 50 cm des Bodenprofils berücksichtigt.(Details: Bodeneignungskarte der Schweiz, März 1980)

en: The stone content refers to the individual mineral components of the soil which are larger than 2 mm (sieve residue). In most cases the top 50 cm of the soil was evaluated. (Details: Soil suitability map of Switzerland, March 1980).

it: Per scheletro s'intende l'insieme dei frammenti minerali più grandi di 2 mm (resti nel setaccio). Individuati principalmente nei 50 cm superiori del profilo del suolo. (Dettagli: carta delle attitudini dei suoli svizzeri, marzo 1980).

bundesamt-fur-landwirtschaft-blw

de: Bundesamt für Landwirtschaft BLW

de: Das Bundesamt für Landwirtschaft (BLW) ist das Kompetenzzentrum des Bundes für den Agrarsektor. Es setzt sich für eine multifunktionale Landwirtschaft ein.

fr: Carte digitale des aptitudes des sols de la Suisse - Pierrosité

de: Digitale Bodeneignungskarte der Schweiz - Skelettgehalt

en: Digital soil suitability map of Switzerland - Stone content

it: Carta digitale delle attitudini dei suoli svizzeri - Scheletro


fr: point-dinteret-poi geoservice centre-de-loisirs batiment

de: point-of-interest-poi geodienst freizeitanlage bauwesen-und-gebaute-umwelt

en: point-of-interest-poi geoservice leisure-facility building

it: punto-di-interesse-poi geoservizio centro-per-il-tempo-libero edilizia

label: öffentliche Spielplätze und Sportanlagen in der Gemeinde Emmen

de: Kartendienst mit den Spielplätzen und Sportanlagen in der Zuständigkeit der Gemeinde Emmen

de: WFS Spielplätze und Sportanlagen in der Gemeinde Emmen

format: WFS

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

de: Kartendienst mit den öffentlichen Spielplätzen und Sportanlagen in der Gemeinde Emmen

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: Spielplätze und Sportanlagen Gemeinde Emmen (WMS/WFS)


schulanlagen-emmen-wms

title_for_slug: schulanlagen-emmen-wms

fr: point-dinteret-poi construction geoservice batiment

de: point-of-interest-poi bau geodienst bauwesen-und-gebaute-umwelt

en: point-of-interest-poi construction geoservice building

it: punto-di-interesse-poi costruzione geoservizio edilizia

de: Schulhäuser Gemeinde Emmen

de: WFS mit den Schulhäusern der Gemeinde Emmen

de: Kartendienst mit den öffentlichen Schuhäusern in der Gemeinde Emmen

de: Schulanlagen Emmen (WMS/WFS)


geography

de: Geographie

territory

de: Raum und Umwelt

de: anbaueignung boden meteorologisch-geografische-kennwerte bgdi-bundesgeodaten-infrastruktur

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

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

fr: Aperçu map.geo.admin.ch

de: Vorschau map.geo.admin.ch

en: Preview map.geo.admin.ch

it: Previsione map.geo.admin.ch

fr: Serveur de téléchargement de geo.admin.ch

de: Download Server von geo.admin.ch

de: WMS Dienst von geo.admin.ch

en: WMS Service from geo.admin.ch

de: RESTful API von geo.admin.ch

fr: Sur la carte, chaque unité cartographique est assortie d'un code composé d'une lettre majuscule et d'un chiffre. Les majuscules représentent 25 différentes unités géologiques et géomorphologiques. Les lettres sont subdvisées en divers éléments du paysage, ordonnés selon le type de roche-mère, l'exposition et la pente. En outre, à chaque unité cartographique correspond un ou plusieurs types de sol. Les 144 unités cartographiques sont réparties sur la carte en 18 groupes de couleur différente, en fonction de l'aptitude des sols. Cette classification repose essentiellement sur des critères agricoles.

de: In der Bodeneignungskarte ist jede Kartierungseinheit mit einem Code aus einem Grossbuchstaben und einer Zahl versehen. Die Buchstaben stehen für 25 verschiedene physiographische Einheiten. Die Zahlen geben verschiedene Formelemente der Landschaften wieder, geordnet nach Muttergestein, Hanglage und Hangneigung. Jede Kartierungseinheit entspricht zudem einem oder mehreren Bodentypen. Die insgesamt 144 Kartierungseinheiten sind in der Karte nach dem Gesichtspunkt der Bodeneignung in 18 unterschiedlich eingefärbten Gruppen zusammengefasst. Für diese Klassierung wurden in erster Linie landwirtschaftliche Kriterien verwendet.

en: On the soil suitability map, each mapping unit has a code consisting of an uppercase letter and a number. The letters stand for 25 different physiographical units. The numbers represent different elements of the landscape, categorised by bedrock, slope and gradient. Each mapping unit also corresponds to one or more soil types. There are 144 mapping units in total. They are grouped together into 18 different coloured categories on the map from the perspective of soil suitability. Agricultural criteria have primarily been used for this classification.

it: Sulla carta delle attitudini dei suoli ogni unità cartografica è dotata di un codice composto da una lettera maiuscola e da un numero. Le lettere rappresentano 25 unità fisiografiche differenti. Il numero indica diversi elementi formali dei paesaggi, ordinati in base a roccia madre, esposizione e declività. Inoltre, ogni unità cartografica contiene una o più tipologie di suolo. Le 144 unità cartografiche totali sono classificate, secondo l'attitudine del suolo, in 18 gruppi caratterizzati da colori differenti. Questa classificazione si basa essenzialmente su criteri di tipo agricolo.

fr: Carte digitale des aptitudes des sols de la Suisse - Typologies des cultures

de: Digitale Bodeneignungskarte der Schweiz - Kulturtyp

en: Digital soil suitability map of Switzerland - Crop type

it: Carta digitale delle attitudini dei suoli svizzeri - Tipologie di colture


fr: geoservice point-dinteret-poi construction batiment

de: geodienst point-of-interest-poi bau bauwesen-und-gebaute-umwelt

en: geoservice point-of-interest-poi construction building

it: geoservizio punto-di-interesse-poi costruzione edilizia

de: Sitzbänke, Abfalleimer, Grillstellen Emmen

de: Kartendienst mit den Sitzbänken, Abfalleimern und Grillstellen der Gemeinde Emmen

de: WFS Sitzbänke, Abfalleimer und Robidog

de: Kartendienst mit den Sitzbänken, Abfalleimern (inkl. Möblierung an Bushaltestellen) und Robidogstandorten sowie den öffentlichen Grillstellen in der Zuständigkeit der Gemeinde Emmen

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.

de: Sitzbänke, Abfalleimer und Grillstellen Emmen (WMS/WFS)


geography

de: Geographie

de: Raum und Umwelt

en: Download server from geo.admin.ch

it: Server di download di geo.admin.ch

fr: Service WMS de geo.admin.ch

it: Servizio WMS di geo.admin.ch

fr: Profondeur du sol exploitable par les racines (enracinement général; on ne tient pas compte par exemple de racines pénétrant dans des crevasses).

de: Durchwurzelbare Bodentiefe (allgemeine Grob- und Feindurchwurzelung; nicht dazugerechnet werden z. B. in Klüfte vordringende Wurzeln).(Details: Bodeneignungskarte der Schweiz, März 1980)

en: Depth of soil that can be penetrated by roots (general thick and fine roots; roots that penetrate into clefts or crevices are not included). (Details: Soil suitability map of Switzerland, March 1980.)

it: Profondità del suolo penetrabile dalle radici (in generale radici sottili e spesse; non si tiene conto ad esempio delle radici che penetrano in fenditure). (Dettagli: carta delle attitudini dei suoli svizzeri, marzo 1980).

bundesamt-fur-landwirtschaft-blw

fr: Office fédéral de l'agriculture OFAG

de: Bundesamt für Landwirtschaft BLW

en: Federal Office for Agriculture FOAG

it: Ufficio federale dell'agricoltura UFAG

fr: L’Office fédéral de l’agriculture (OFAG) est le centre de compétence de la Confédération pour les questions relevant du secteur agricole. Il œuvre pour une agriculture multifonctionnelle.

de: Das Bundesamt für Landwirtschaft (BLW) ist das Kompetenzzentrum des Bundes für den Agrarsektor. Es setzt sich für eine multifunktionale Landwirtschaft ein.

en: The Federal Office for Agriculture (FOAG) is the Confederation's competence center for all core issues relating to the agricultural sector. The FOAG promotes multifunctional agriculture.

fr: Carte digitale des aptitudes des sols de la Suisse - Profondeur

de: Digitale Bodeneignungskarte der Schweiz - Gründigkeit

en: Digital soil suitability map of Switzerland - Root penetration depth

it: Carta digitale delle attitudini dei suoli svizzeri - Profondità


gastrobetriebe-emmen-wms

title_for_slug: gastrobetriebe-emmen-wms

fr: point-dinteret-poi geoservice construction batiment

de: point-of-interest-poi geodienst bau bauwesen-und-gebaute-umwelt

en: point-of-interest-poi geoservice construction building

it: punto-di-interesse-poi geoservizio costruzione edilizia

de: Gastrobetriebe Emmen

de: Kartendienst mit den Gastro- und Beherbergungsbetrieben in der Zuständigkeit der Gemeinde Emmen

de: WFS Gastrobetriebe Emmen

de: Kartendienst mit den Gastro- und Beherbergungsbetrieben in der Gemeinde Emmen

de: Gastrobetriebe Emmen (WMS/WFS)


parkplatze-emmen-wms

title_for_slug: parkplatze-emmen-wms

fr: reseau-de-transport geoservice point-dinteret-poi batiment

de: verkehrsnetz geodienst point-of-interest-poi bauwesen-und-gebaute-umwelt

en: traffic-network geoservice point-of-interest-poi building

it: rete-di-trasporto geoservizio punto-di-interesse-poi edilizia

label: Webkarte mit den Parkplätzen der Zonen A, B, C sowie Veloparkierungsanlagen in der Zuständigkeit der Gemeinde Emmen

de: Parkplätze Gemeinde Emmen

de: Kartendienst mit den öffentlichen Parkplätzen der Zonen A

de: WFS Parkplätze Emmen

de: WFS mit den Parkplätzen und Veloparkierungsanlagen der Gemeinde Emmen

de: Kartendienst mit den öffentlichen Parkplätze der Zonen A, B und C sowie Veloparkierungsanlagen

de: Parkplätze Emmen (WMS/WFS)


signalisation-und-markierung-emmen-wms

title_for_slug: signalisation-und-markierung-emmen-wms

de: geodienst verkehrsnetz verkehr

en: geoservice traffic-network transport

it: geoservizio rete-di-trasporto trasporti

de: Strasseninfrastruktur Gemeinde Emmen

de: DE#|FR#|EN#|IT#

de: WFS Strasseninfrastruktur

de: WFS mit der Strasseninfrastruktur in der Gemeinde Emmen

de: Kartendienst mit den Strassen, Tempo 30- und Begegnungszonen (Tempo 20), Fussgängerstreifen, Kunstbauten und Verkehrsspiegel in der Gemeinde Emmen

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.

de: Strasseninfrastruktur Emmen (WMS/WFS)


quartiervereine-gemeinde-emmen-wms

title_for_slug: quartiervereine-gemeinde-emmen-wms

fr: geoservice plan-de-quartier quartier

de: geodienst quartierplan quartier

en: geoservice quarter-map quarter

de: Quartiervereine Gemeinde Emmen

de: Kartendienst mit den Perimetern der verschiedenen Quartiervereine in der Gemeinde Emmen

de: Kartendienst mit dem Zuständigkeitsgebiet der Quartiervereine in der Gemeinde Emmen

de: Quartiervereine Emmen (WMS/WFS)


energieplan-emmen-wms

title_for_slug: energieplan-emmen-wms

de: Quartiervereine Gemeinde Emmen|

de: Kartendienst mit dem Energieplan der Gemeinde Emmen

de: WFS Energieplan Emmen

de: Geodienst Energieplan Emmen

de: Energieplan Emmen (WMS/WFS)


global-cryosphere-watch-data-survey

maintainer: Mathias Bavay

title_for_slug: global-cryosphere-watch-data-survey

en: gcw data-portal automatic-publication data-usage data-exchange

en: Third party data usage

media_type: text/csv

mimetype: text/csv

en: Data interoperability survey

en: Two surveys on the topic of data usage where conducted for the Global Cryosphere Watch data portal. The first one focused on the data provider point of view while the second one focused on the data user point of view. 37 data providers (ie institutions) worldwide provided their answers for the first survey (from fall 2017 until summer 2018) while 54 users (contacted through various mailing list such as the Cryolist) answered the questions on their third party data usage (fall 2019 until January 2020).

automatic-publication

display_name: automatic-publication

data-exchange

display_name: data-exchange

data-portal

display_name: data-portal

data-usage

display_name: data-usage

gcw

display_name: gcw

education

fr: Education, science

de: Bildung, Wissenschaft

en: Education and science

it: Formazione e scienza

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: Global Cryosphere Watch data survey


maintainer: Vanessa Burg

en: biogas manure switzerland review bioenergy

en: Biogas from animal manure in Switzerland: energy potential, technology development and resource mobilization

media_type: PDF

en: Aim of this white paper is to provide decision-makers, administrations and stakeholders with the most current research findings in order to promote the optimal use of bioenergy from manure in the Swiss energy transition. For this purpose, the results of the Swiss competence center for bioenergy research - SCCER BIOSWEET - are summarized and presented in a broader context. If nothing else is mentioned, the results refer to Switzerland and in case of the feedstock to the domestic biomass potentials.

format: PDF

bioenergy

display_name: bioenergy

biogas

display_name: biogas

manure

display_name: manure

review

display_name: review

switzerland

display_name: switzerland


maintainer: Paraskevi Georgakaki

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

en: Observational data

media_type: zip-compressed folder of csv

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

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

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

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

en: WRF outputs

media_type: zip-compressed folder of NetCDF files

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

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

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

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

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

blowing-snow

display_name: blowing-snow

ice-crystal-number-concentration

display_name: ice-crystal-number-concentration

ice-water-content

display_name: ice-water-content

jungfraujoch

display_name: jungfraujoch

liquid-water-content

display_name: liquid-water-content

secondary-ice-production

display_name: secondary-ice-production

swiss-alps

display_name: swiss-alps

wrf

display_name: wrf

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


maintainer: EnviDat Support

en:
This dataset contains the statistics on the number of avalanche fatalities per **calendar year** in Switzerland. The data collection commences with the beginning of the year 1937. After the completion of a hydrological year, which is the standard way avalanche fatalities are summarized in Switzerland and ends on the 30th of September, the new data is appended to the existing dataset.
If you require annual statistics per hydrological year, please download the data from here: [https://www.envidat.ch/dataset/avalanche-fatalities-switzerland-1936]

The following information is contained (by column and column title):
 - year
 - number of fatalities in the backcountry (=tour)
 - number of fatalities in terrain close to ski areas (=offpiste, away from open and secured ski runs)
 - number of fatalities on transportation corridors including ski runs, roads, railway lines (=transportation.corridors)
 - number of fatalities in or around buildings or in settlements (= buildings)
 - sum (of all four categories)

The definitions for these four categories, as described in the guidelines to the avalanche accident database are:

tour:
activities include back-country ski, snowboard or snow-shoe touring

offpiste:
access from ski area, generally from the top of a skilift with short hiking distances

transportation.corridors (Techel et al., 2016):
people travelling or recreating on open or temporarily closed transportation corridors (e.g. a road user or a skier on a ski run) and people working on open or closed transportation corridors (e.g. maintenance crews on roads, professional rescue teams)

buildings (Techel et al., 2016):
people inside or just outside buildings, and workers on high alpine building sites

avalanche-accident-statistics

display_name: avalanche-accident-statistics

avalanche-fatalities

display_name: avalanche-fatalities

fatalities-in-or-around-buildings

display_name: fatalities-in-or-around-buildings

fatalities-in-settlements

display_name: fatalities-in-settlements

fatalities-in-the-backcountry

display_name: fatalities-in-the-backcountry

fatalities-on-transportation-corridors

display_name: fatalities-on-transportation-corridors

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


en: moss lichen-growth-form endemic-species lichen-growthform climate-change bryophyte lichen climate-change-impact disturbance liverwort elevational-gradient functional-taxonomic-group bryophyte-life-strategy functional-taxonomic-groups biodiversity endemic photobiont madeira-island

en: MadCrypto – Bryophyte and macrolichen diversity in laurel forests of Madeira

en:
This dataset includes species lists of bryophytes and macrolichens (presence/absence) sampled on the forest floor and on trees in disturbed and undisturbed plots along elevation gradients in the laurel forests of Madeira island. It also contains species specific information (bryophytes: red list status, endemic status, taxonomic group, life strategy; macrolichens: photobiont type, growth form) as well as plot information (Plot_ID, sampling date, coordinates, elevation a.s.l. (m), disturbance type, sampled host tree species).

The dataset was used for the paper
Boch S, Martins A, Ruas S, Fontinha S, Carvalho P, Reis F, Bergamini A, Sim-Sim M (2019) Bryophyte and macrolichen diversity show contrasting elevation relationships and are negatively affected by disturbances in laurel forests of Madeira island. Journal of Vegetation Science.

format: XLS

en:
This dataset includes species lists of bryophytes and macrolichens (presence/absence) sampled on the forest floor and on trees in disturbed and undisturbed plots along elevation gradients in the laurel forests of Madeira island. It also contains species specific information (bryophytes: red list status, endemic status, taxonomic group, life strategy; macrolichens: photobiont type, growth form) as well as plot information (Plot_ID, sampling date, coordinates, elevation a.s.l. (m), disturbance type, sampled host tree species).

The dataset was used for the paper
Boch S, Martins A, Ruas S, Fontinha S, Carvalho P, Reis F, Bergamini A, Sim-Sim M (2019) Bryophyte and macrolichen diversity show contrasting elevation relationships and are negatively affected by disturbances in laurel forests of Madeira island. Journal of Vegetation Science 30: 1122–1133.

The excel file contains 5 sheets:
1) Plot information
2) Bryophyte data with species specific information, separated per substrate
3) Macrolichen data with species specific information, separated per substrate
4) Bryophyte data with species specific information (plot level data). Species lists of the two substrates were merged; if one substrate in a plot hosted a species identified only to genus level (genus spec.) but the second investigated substrate hosted an identified species of the same genus, we removed the genus spec. entry in the particular plot. The species list of sheet 2 and 4 might therefore differ slightly.
5) Macrolichen data with species specific information (plot level data). Species lists of the two substrates were merged; if one substrate in a plot hosted a species identified only to genus level (genus spec.) but the second investigated substrate hosted an identified species of the same genus, we removed the genus spec. entry in the particular plot. The species list of sheet 3 and 5 might therefore differ slightly.

biodiversity

display_name: biodiversity

bryophyte

display_name: bryophyte

bryophyte-life-strategy

display_name: bryophyte-life-strategy

climate-change

display_name: climate-change

climate-change-impact

display_name: climate-change-impact

disturbance

display_name: disturbance

elevational-gradient

display_name: elevational-gradient

endemic

display_name: endemic

endemic-species

display_name: endemic-species

functional-taxonomic-group

display_name: functional-taxonomic-group

functional-taxonomic-groups

display_name: functional-taxonomic-groups

lichen

display_name: lichen

lichen-growth-form

display_name: lichen-growth-form

lichen-growthform

display_name: lichen-growthform

liverwort

display_name: liverwort

madeira-island

display_name: madeira-island

moss

display_name: moss

photobiont

display_name: photobiont


en: photovoltaic reflection irradiance mountain energy snow albedo

en: PV Data

media_type: application/zip

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

format: ZIP

mimetype: application/zip

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

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

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

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

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

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

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

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

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

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

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

albedo

display_name: albedo

energy

display_name: energy

irradiance

display_name: irradiance

mountain

display_name: mountain

photovoltaic

display_name: photovoltaic

reflection

display_name: reflection

snow

display_name: snow

education

en: Education and science

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.


root-traits

maintainer: Ivano Brunner

title_for_slug: root-traits

en: fine-root-traits ingrowth-cores belowground-biomass soil-coring drought

en: Root-traits

en:
Fine-root traits of Scots pine in response to enhanced soil water availability deriving from long-term irrigation in the Pfynwald

Data_Fig.1.xlsx
Fine-root biomass of the topsoil (0-10 cm) in the dry and irrigated treatment of the Scots pine forest of the years 2003 to 2016 recorded by soil coring

Data_Tab1+2_2005.xlsx
Fine-root traits from roots of ingrowth cores from 2005 after two years of growth in the dry and irrigated treatment of the Scots pine forest

Data_Tab1+2_2016.xlsx
Fine-root traits from roots of ingrowth cores from 2016 after two years of growth, and from roots of the soil-coring sampling from 2016 in the dry and irrigated treatment of the Scots pine forest

belowground-biomass

display_name: belowground-biomass

drought

display_name: drought

fine-root-traits

display_name: fine-root-traits

ingrowth-cores

display_name: ingrowth-cores

soil-coring

display_name: soil-coring


maintainer: Marcus Schaub

en: scots-pine irrigation diameter-at-breast-height dbh swiss-forest-lab forest crown-condition drought lwf tree tree-species

en: Site photo 2

media_type: JPEG

en: Long-term Irrigation	Experiment Pfynwald homepage

media_type: text/html

mimetype: text/html

en: Site photo 3

en: Dataset

media_type: XLSX

en: Swiss Forest Health Inventory

en: Shapefile	of measurement location

media_type: URL

en: Site photo 1

en: To study the performance of mature Scots pine (_Pinus sylvestris_ L.) under chronic drought conditions in comparison to their immediate physiological response to drought release, a controlled long-term and large-scale irrigation experiment has been set up in 2003. The experiment is located in a xeric mature Scots pine forest in the Pfynwald (46° 18' N, 7° 36' E, 615 m a.s.l.) in one of the driest inner-Alpine valleys of the European Alps, the Valais (mean annual temperature: 9.2°C, annual precipitation sum: 657 mm, both 1961-1990). Tree age is on average 100 years, the top height is 10.8 m and the stand density is 730 stems ha-1 with a basal area of 27.3 m2 ha-1. The forest is described as _Erico Pinetum sylvestris_ and the soil is a shallow pararendzina characterized by low water retention. The experimental site (1.2 ha; 800 trees) is split up into eight plots of 1'000 m2 each. During April-October, irrigation is applied on four randomly selected plots with sprinklers of 1 m height at night using water from an adjacent water channel. The amount of irrigation corresponds to a supplementary rainfall of 700 mm year-1. Trees in the other four plots grow under naturally dry conditions. Soil moisture has been monitored since the beginning of the project at 3 soil depths (10, 20 and 60 cm). The crown condition of each tree is being assessed each year since 2003. Tree measurement data such as diameter at breast height, tree height, and social status were assessed in 2002, 2009 and 2014. The duration of the irrigation experiment is planned for 20 years.

crown-condition

display_name: crown-condition

dbh

display_name: dbh

diameter-at-breast-height

display_name: diameter-at-breast-height

forest

display_name: forest

irrigation

display_name: irrigation

lwf

display_name: lwf

scots-pine

display_name: scots-pine

swiss-forest-lab

display_name: swiss-forest-lab

tree

display_name: tree

tree-species

display_name: tree-species

en: Tree measurements 2002-2016 from the long-term irrigation experiment Pfynwald, Switzerland


maintainer: Yohann Chauvier

en: random-stratified-sampling background-data environmental-stratification cluster plant-species point-process-model survey-effort target-group covariate-correction independent-dataset

media_type: ZIP

en: Non-copyright data, scripts, diversity outputs

en:
Aim: While species distribution models (SDMs) are standard tools to predict species distributions, they can suffer from observation and sampling biases, particularly presence-only SDMs that often rely on species observations from non-standardized sampling efforts. To address this issue, sampling background points with a target-group strategy is commonly used, although more robust strategies and refinements could be implemented. Here, we exploited a dataset of plant species from the European Alps to propose and demonstrate efficient ways to correct for observer and sampling bias in presence-only models.

Innovation: Recent methods correct for observer bias by using covariates related to accessibility in model calibrations (classic bias covariate correction, Classic-BCC). However, depending on how species are sampled, accessibility covariates may not sufficiently capture observer bias. Here, we introduced BCCs more directly related to sampling effort, as well as a novel corrective method based on stratified resampling of the observational dataset before model calibration (environmental bias correction, EBC). We compared, individually and jointly, the effect of EBC and different BCC strategies, when modelling the distributions of 1’900 plant species. We evaluated model performance with spatial block split-sampling and independent test data, and assessed the accuracy of plant diversity predictions across the European Alps.

Main conclusions: Implementing EBC with BCC showed best results for every evaluation method. Particularly, adding the observation density of a target group as bias covariate (Target-BCC) displayed most realistic modelled species distributions, with a clear positive correlation (r≃0.5) found between predicted and expert-based species richness. Although EBC must be carefully implemented in a species-specific manner, such limitations may be addressed via automated diagnostics included in a provided R function. Implementing EBC and bias covariate correction together may allow future studies to address efficiently observer bias in presence-only models, and overcome the standard need of an independent test dataset for model evaluation.

background-data

display_name: background-data

cluster

display_name: cluster

covariate-correction

display_name: covariate-correction

environmental-stratification

display_name: environmental-stratification

independent-dataset

display_name: independent-dataset

plant-species

display_name: plant-species

point-process-model

display_name: point-process-model

random-stratified-sampling

display_name: random-stratified-sampling

survey-effort

display_name: survey-effort

target-group

display_name: target-group

en: Novel methods to correct for observer and sampling bias in presence-only species distribution models


maintainer: Océane Hames

en: snow-transport arctic-sea-ice snow-deposition mosaic openfoam

en: snowBedFoam 1.0.

media_type: .zip

en:
OpenFOAM-2.3.0. scripts containing the implemented Eulerian-Lagrangian snow transport model.

The code file provided here is not updated. The most recent version of the script can be found on the WSL/SLF GitLab repository: https://gitlabext.wsl.ch/atmospheric-models/snowbedfoam-v1-0.git

en: Paper Draft

en: This is the initial draft of the paper where the snowBedFoam 1.0. results are tested against Terrestrial Laser Scan (TLS) measurements of snow dynamics on Arctic sea ice (MOSAiC expedition). It highlights the numerical limitations of our model as well as the measurement uncertainties, which may occur in such extreme environments.

en: MOSAiC Met City preliminary (Level 2) wind data

en:
Extract from the preliminary MOSAiC atmospheric data (Level 2) for the time period 6th to 13th of November, 2019.
This data was used to set up the fluid forcing parameters in the snowBedFoam simulations on MOSAiC sea ice. It is being published in this repository with the kind permission from Matthew Shupe and his team.
The final processed and quality controlled version of this dataset (Level 3) has not been published yet. A complete reference will be added in this description once it is released.

en:
snowBedFoam 1.0. is a snow transport solver implemented in the Computational Fluid Dynamics (CFD) software OpenFOAM. It is adapted from the standard multi-phase flow solver DPMFoam for application in snow-influenced environments.

To simulate aeolian snow transport, snowBedFoam 1.0. handles coupled Eulerian–Lagrangian phases, which involve a finite number of particles (snow) spread in a continuous phase (air). The snow erosion and deposition are modelled through physically-based equations such as the ones employed in the well-established LES-Lagrangian Stochastic Model (Comola and Lehning, 2017 ; Sharma et al., 2018). This modelling approach is computationally intensive and thus adapted to simulate snow movement and distribution on small scale terrain.

snowBedFoam 1.0. was tested against topographical data collected on Arctic sea ice during the MOSAiC expedition (Clemens-Sewall, 2021) . Together with atmospheric data from the MOSAiC Met City (Shupe et al., 2021) used for the fluid forcing, the model was able to accurately simulate the zones of erosion and deposition of snow along a complex ice ridge structure.

The core code of snowBedFoam 1.0. is also accessible on the WSL/SLF GitLab repository (more details in the Resources section).

arctic-sea-ice

display_name: arctic-sea-ice

mosaic

display_name: mosaic

openfoam

display_name: openfoam

snow-deposition

display_name: snow-deposition

snow-transport

display_name: snow-transport

education

en: Education and science

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: snowBedFoam: an OpenFOAM Eulerian-Lagrangian solver for modelling snow transport


en: amphibians wetlands conservation occupancy-models landscape

en: Readme

en: Description of methods and datasets.

en: Model code

media_type: Rmd

en: This R markdown file contains all code and descriptions necessary to load and format the provided data and to fit the dynamic occupancy models described in the associated publication, including JAGS code for the fitted models.

en: Original raw data

en: This file contains the original raw monitoring data as provided by the canton of Aargau. Access is restricted and only considered upon request and in consultation with the canton of Aargau.

en: Model code, description

media_type: HTML

en: This is the output of the R markdown file that provides JAGS model code and describes how to format the provided data and fit the dynamic occupancy models described in the associated publication, for a quick overview.

en: Covariate data 1

en: This file contains covariate data that does not change over time for 856 ponds: the region the pond is in, whether the pond is old or new (constructed since 1991), elevation, water surface area, fluctuations of the water table (yes, no), the percent forest cover in 100m radius around the pond, the area or large (>6m wide) roads in 1km radius around the pond.

en: Covariate data 2

en: This file contains covariate data that changes over time for 856 ponds in 21 years (long format): whether or not a pond exists in year _t_, the age of constructed ponds in year _t_, structural connectivity of the pond in year _t_.

en: Observation data

en: This file contains detection/non-detection data for the 12 amphibian species between 1999 and 2019 for 3 annual visits. Detectable denotes whether or not a visit j was made to pond i in year t. ObservedID gives a unique ID for the observer collecting the data during visit j to pond i in year t.

en:
In the canton of Aargau, hundreds of new ponds have been constructed since the 1990s to benefit declining amphibian populations. This dataset consists of monitoring data for all 12 pond-breeding amphibian species in the canton of Aargau from 1999 to 2019 in 856 ponds, and environmental variables that describe the ponds and the landscape surrounding the ponds. Species observation data is detection/non-detection data from repeat visits during survey years, during which all potentially suitable ponds in an area were surveyed. Environmental variables describing the ponds are whether the pond has been newly constructed since 1991 or not, pond age (if constructed), elevation a.s.l., the water surface area, and whether the water table fluctuates or not. Environmental variables describing the surroundings of the ponds are the percent area of forest within a circular buffer of radius 100m around the pond, the area of large (width ≥6m) roads within a circular buffer of radius 1km around the pond, and structural connectivity.

The canton of Aargau is the owner of the monitoring data; the original datafile is only disclosed upon request and in consultation with the canton of Aargau.

The edited dataset contains cleaned observation data for the 12 amphibian species, as well as compiled and edited covariate data and code to fit dynamic occupancy models.

amphibians

display_name: amphibians

conservation

display_name: conservation

landscape

display_name: landscape

occupancy-models

display_name: occupancy-models

wetlands

display_name: wetlands

en: Amphibian observation and pond data (Aargau, Switzerland)


en: community-energy cooperatives renewable-energy switzerland energy-cooperatives

en: Raw data (.csv)

en: Raw data in csv. format. For comprehension of the data and variable structure, please consult the codebook and the modified questionnaire with variable names.

en: Questionnaire with variable names

en: Modified questionnaire with variable names for each item. Should be used together with the data files (.csv or .sav) to reconstruct the data and variable structures.

mimetype: application/pdf

en: Codebook

en: Description of variable attributes and valid n

en: Raw date (SPSS)

media_type: SAV

en: Raw data in sav. format (SPSS). For comprehension of the data and variable structure, please consult the modified questionnaire with variable names.

en:
 Topic of Survey
The data at hand on energy cooperatives in Switzerland were collected in 2016 as part of the project "Collective financing of renewable energy projects in Switzerland and Germany" of the National Research Programme 71 "Managing Energy Consumption". The cooperatives were surveyed on their organizational structure, their activities in electricity and heat generation, their finances, the political context and their assessments of the future.

 Survey Method
The survey was targeted at all energy cooperatives in Switzerland (this is the basic population). The Swiss Commercial Register was searched for cooperatives and specific keywords in order to determine this basic population and collect addresses. This search in May 2016 resulted in a total of 304 energy cooperatives, to which a questionnaire was sent in July 2016. A pre-test with 8 persons had been carried out before the questionnaire was sent out. The questionnaire was provided in German and French. It was sent by mail and an attached letter referred to a link for the digital version if preferred. The online version was designed with the software "Sawtooth". After three weeks, a first, and after six weeks a second reminder letter was sent to those cooperatives that had not yet completed the questionnaire. The returned hardcopy questionnaires were manually entered into the database and then combined with the electronic data from the online survey. In the course of the survey, the total population was reduced from 304 to 289: in 4 cases the survey was not deliverable, 4 cooperatives had dissolved, 6 were not actually energy cooperatives, 1 case had recently changed its legal form. With a response rate of 47%, the final data set comprises 136 responses (from 77 digital and 59 hardcopy questionnaires). However, not all 136 of the returned questionnaires were filled out completely. We checked for answers that seemed contradictory or incomprehensible. If an error could be clearly identified and the correct answer derived, the answer was adjusted, otherwise the answer was replaced by "missing data".

 Anonymization
Participating cooperatives have been assured that their information will be kept confidential and will only be made public anonymously. For this reason, the data have been anonymized in in order to prevent any identification of individual cooperatives.

 How to Use the Data
* The data are available in CSV and SPSS (sav.) format.
* A codebook and a modified version of the used questionnaire are provided to illustrate the data and variable structure. In the questionnaire, the variable names are assigned to the corresponding questions. In the codebook, further information on these variables (valid n, answer categories) can be found. This information (of the codebook) is already integrated in the SPSS file.

 Current Embargo on Data
These data are currently under embargo and will only be released when the project is completed (not before 2020).

#Additional Information
* The used questionnaire is provided in German and French.
* Descriptive results of the survey were published in a WSL report: https://www.dora.lib4ri.ch/wsl/islandora/object/wsl:18943

community-energy

display_name: community-energy

cooperatives

display_name: cooperatives

energy-cooperatives

display_name: energy-cooperatives

renewable-energy

display_name: renewable-energy

switzerland

display_name: switzerland

education

en: Education and science

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: Energy Cooperatives in Switzerland: Survey Results // Energiegenossenschaften in der Schweiz: Befragungsergebnisse


data-broedlin-cnp

title_for_slug: data-broedlin-cnp

en: stoichiometry drying-rewetting forest nitrogen phosphorus carbon dissolved-organic-matter mineralization soil

en: Data Broedlin-CNP-Release

en: Raw data of C-N-P mobilization experiment from Oi, Oe/Oa, and A horizons of beech forest soils along a nutrient availability gradient.

en: Data Broedlin-CNP

en: Mircocosm experiment to identify the individual patterns and controls of C, N, and P mobilization in soils under beech forests. Organic and mineral horizons sampled along a nutrient availability gradient in Germany were exposed to either permanent moist conditions or to dry spells in microcosms and quantified the release of inorganic and organic C, N, and P.

carbon

display_name: carbon

dissolved-organic-matter

display_name: dissolved-organic-matter

drying-rewetting

display_name: drying-rewetting

forest

display_name: forest

mineralization

display_name: mineralization

nitrogen

display_name: nitrogen

phosphorus

display_name: phosphorus

soil

display_name: soil

stoichiometry

display_name: stoichiometry

en: Data Broedlin CNP


maintainer: Thorsten Bartels-Rausch

en: interface laboratory-study snow solution antarctica chemistry reaction metamorphism brine heterogeneous ozone alpine arctic

en: Acetone data

media_type: dat

en:
intensity of the acetone-water-cluster and water-cluster (as derived by a chemical ionisation mass spectrometer) with time in the carrier gas downstream of packed bed flow tube holding the snow sample or the by-pass, respectively. Time "0" denotes the time when the mass spectrometer data acquisition was started. When the carrier
gas with acetone was passed via the packed bed flow tube, that is switched from by-pass to pass the snow, acetone concentration in the carrier gas rapidly dropped due to surface adsorption and slowly recovered as the adsorption sites saturate. From this, the surface area can be obtained.

en: Matlab Script to view and plot data

media_type: .m

en: data list

en: Lists file names, snow sample properties, and flow settings for each data-set.

en: Matlab Data

media_type: mat

en: All data as Matlab mat file

en: Data Figure 1

en: Data of published Figure

en: Ozone data

en: Trend of ozone mixing ratio ( _O3mixingRatio_ppb_ with time ( _time_s_ ) as measured downstream of the snow sample during the experiments. Time "0" denotes the time when data acquisition with ozone analyser was started. And, ozone (_nOzone_molec_per_s_ ) loss for each experiment with duration of ozone exposure ( _duration_s_ ) of ozone exposure, as derived from the ozone trends shown above. Time "0" denotes the time when the carrier gas with ozone was passed via the snow sample.

en: Readme file

media_type: application/pdf

en: This file shows data, code, and plots.

en: Earth’s snow cover is very dynamic on diurnal time scales. The changes to the snow structure during this metamorphism have wide ranging impacts such as on avalanche formation and on the capacity of surface snow to exchange trace gases with the atmosphere. Here, we investigate the influence of dry metamorphism, which involves fluxes of water vapor, on the chemical reactivity of bromide in the snow. For this, the heterogeneous reactive loss of ozone at a concentration of 5-6E12 molecules cm-3 is investigated in artificial, shock-frozen snow samples doped with 6.2 uM sodium bromide and with varying metamorphism history. The oxidation of bromide in snow is one reaction initiating polar bromine releases and ozone depletions.

alpine

display_name: alpine

antarctica

display_name: antarctica

arctic

display_name: arctic

brine

display_name: brine

chemistry

display_name: chemistry

heterogeneous

display_name: heterogeneous

interface

display_name: interface

laboratory-study

display_name: laboratory-study

metamorphism

display_name: metamorphism

ozone

display_name: ozone

reaction

display_name: reaction

snow

display_name: snow

solution

display_name: solution

en: Data set on bromide oxidation by ozone in snow during metamorphism from laboratory study


maintainer: Elisabeth Hafner

en: snow natural-hazard avalanche hazard-mapping satellite

en: SPOT6 Avalanche Outlines 16 January 2019

media_type: SHP

en: Shapefile of the manually mapped avalanche outlines. Please only use this data together with the example key document provided with this dataset and within the limitations of the dataset described in the publications.

format: SHP

en:
Outlines of 6'041 avalanches mapped from SPOT6 satellite data over the Swiss Alps on 16 January 2019. The dataset was acquired following a period with very high avalanche danger. The outlines have different attributes described in the data example key (ExampleKey_AvalMapping16012019.pdf)

The generation of the data is described in:

Bühler, Y., E. D. Hafner, B. Zweifel, M. Zesiger, and H. Heisig (2019), Where are the avalanches? Rapid SPOT6 satellite data acquisition to map an extreme avalanche period over the Swiss Alps, The Cryosphere, 13(12), 3225-3238, doi:10.5194/tc-13-3225-2019.

The data was comprehensivly validated in a subset area in

Hafner, E.D.; Techel, F.; Leinss, S.; Bühler, Y., 2021: Mapping avalanches with satellites - evaluation of performance and completeness. Cryosphere, 15, 2: 983-1004. doi: 10.5194/tc-15-983-2021

avalanche

display_name: avalanche

hazard-mapping

display_name: hazard-mapping

natural-hazard

display_name: natural-hazard

satellite

display_name: satellite

education

en: Education and science

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: SPOT6 Avalanche outlines 16 January 2019