equiden-entwicklung-in-der-schweiz

title_for_slug: equiden-entwicklung-in-der-schweiz

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

de: nutztiere schweiz equiden heimtiere populationsentwicklung

en: equids livestock companion-animals population-trends switzerland

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

identifier: equids-CH

fr: Total des équidés enregistrés et vivants sur le territoire suisse.

en: Number of registered and living equids in Switzerland over time.

de: Bestand der registrierten, lebenden Equiden mit Standort in der Schweiz im Zeitverlauf.

it: Totale equidi registrati e viventi in territorio svizzero.

animale-da-reddito

display_name: animale-da-reddito

animaux-de-compagnie

display_name: animaux-de-compagnie

animaux-de-rente

display_name: animaux-de-rente

companion-animals

display_name: companion-animals

equiden

display_name: equiden

equides

display_name: equides

equidi

display_name: equidi

equids

display_name: equids

heimtiere

display_name: heimtiere

livestock

display_name: livestock

nutztiere

display_name: nutztiere

schweiz

display_name: schweiz

suisse

display_name: suisse

svizzera

display_name: svizzera

switzerland

display_name: switzerland

identitas

fr: 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.

fr: Équidés - Évolution en Suisse

de: Equiden - Entwicklung in der Schweiz

en: Equids - Evolution in Switzerland

it: Equidi - Evoluzione in Svizzera


schafe-bestellungen-ohrmarken

maintainer: Team Tierstatistik Identitas AG

title_for_slug: schafe-bestellungen-ohrmarken

fr: animaux-de-rente tracabilite ovins marques-auriculaires

de: schafe nutztiere ruckverfolgbarkeit ohrmarken

en: ear-tags sheep livestock traceability

it: tracciabilita animale-da-reddito ovini marchi-auricolari

label: Glossary / Documentation

label: Interactive plot

state: active

type: dataset

media_type: CSV

format: CSV

identifier: sheep-eartag

fr: Total des commandes de marques auriculaires par année (commandes du Liechtenstein inclues), divisé en nouvelles marques, marquages additionnels et en marques de remplacement.

de: Anzahl bestellte Ohrmarken pro Jahr, unterteilt nach neuen Ohrmarken, Nachmarkierungen und Ersatzohrmarken im Zeitverlauf (inkl. Bestellungen aus Liechtenstein).

en: Total orders of ear tags per year divided into new ear tags, additional markings and replacement ear tags, orders from Liechtenstein included.

it: Totale ordini di marchi auricolari all'anno suddivisi in nuovi marchi auricolari, marcature addizionali e marchi auricolari sostitutivi, ordini dal Liechtenstein inclusi.

ear-tags

display_name: ear-tags

marchi-auricolari

display_name: marchi-auricolari

marques-auriculaires

display_name: marques-auriculaires

ohrmarken

display_name: ohrmarken

ovini

display_name: ovini

ovins

display_name: ovins

ruckverfolgbarkeit

display_name: ruckverfolgbarkeit

schafe

display_name: schafe

sheep

display_name: sheep

tracabilite

display_name: tracabilite

tracciabilita

display_name: tracciabilita

traceability

display_name: traceability

agriculture

fr: Agriculture, sylviculture

de: Land- und Forstwirtschaft

en: Agriculture, forestry

it: Agricoltura, selvicoltura

identitas

de: Identitas AG

political_level: other

type: organization

approval_status: approved

key: guid

key: uri

value: DCAT Harvester Identitas

fr: Ovins - Commandes de marques auriculaires

de: Schafe - Bestellungen Ohrmarken

en: Sheep - Ear tag orders

it: Ovini - Ordini di marchi auricolari


hunde-altersstruktur

title_for_slug: hunde-altersstruktur

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

de: populationsentwicklung heimtiere hunde alter

en: companion-animals population-trends age dogs

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

identifier: dogs-pyr

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

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

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

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

age

display_name: age

alter

display_name: alter

animale-da-compagnia

display_name: animale-da-compagnia

animaux-de-compagnie

display_name: animaux-de-compagnie

cani

display_name: cani

chiens

display_name: chiens

companion-animals

display_name: companion-animals

dogs

display_name: dogs

eta

display_name: eta

evolution-de-la-population

display_name: evolution-de-la-population

evoluzione-della-popolazione

display_name: evoluzione-della-popolazione

heimtiere

display_name: heimtiere

hunde

display_name: hunde

population-trends

display_name: population-trends

populationsentwicklung

display_name: populationsentwicklung

fr: Chiens - Pyramide des âges

de: Hunde - Altersstruktur

en: Dogs - Age pyramid

it: Cani - Piramide delle età


ziegen-entwicklung-der-tierhaltungen

title_for_slug: ziegen-entwicklung-der-tierhaltungen

de: ziegen tierhaltungen nutztiere

en: holdings livestock goats

identifier: goats-holdings

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

en: Number of holdings with goats.

de: Anzahl Tierhaltungen mit Ziegen.

it: Totale delle aziende detentrici di animali con capre.

animale-da-reddito

display_name: animale-da-reddito

animaux-de-rente

display_name: animaux-de-rente

aziende-detentrici-di-animali

display_name: aziende-detentrici-di-animali

caprini

display_name: caprini

caprins

display_name: caprins

goats

display_name: goats

holdings

display_name: holdings

livestock

display_name: livestock

nutztiere

display_name: nutztiere

tierhaltungen

display_name: tierhaltungen

unites-delevage

display_name: unites-delevage

ziegen

display_name: ziegen

fr: Caprins - Évolution des unités d'élevage

de: Ziegen - Entwicklung der Tierhaltungen

en: Goats - Evolution of holdings

it: Caprini - Evoluzione delle aziende detentrici di animali


ziegen-zwischenlammzeit

title_for_slug: ziegen-zwischenlammzeit

fr: agnelage caprins animaux-de-rente

de: ablammung nutztiere ziegen

en: lambing goats livestock

it: animale-da-reddito caprini parto

identifier: goats-kiddingInterval

fr: Répartition des intervalles entre les mises bas (IMB, en jours) par an de l'abattage et par type d'utilisation de la chèvre. L'IMB est représenté dans la fourchette de 100-530 jours sous la forme d'un boxplot. L'identification et l'enregistrement individuels des petits ruminants ont été introduits en janvier 2020. Les analyses effectuées sur cette base de données peuvent encore présenter des biais. Le nombre d'observations par type d'utilisation et par année se trouve dans le .csv.

de: Verteilung der Zwischenwurfzeit (ZWZ, in Tagen) von Ziegen nach Jahr der Schlachtung und nach Nutzungsart. Die ZWZ wird im Bereich von 100-530 Tagen in Form eines Boxplots wiedergegeben. Die Einzeltieridentifikation und -registrierung von Kleinwiederkäuern wurden im Januar 2020 eingeführt. Analysen auf dieser Datenbasis können noch Verzerrungen aufweisen. Die Anzahl Beobachtungen nach Nutzungsart und Jahr findet sich im .csv.

en: Distribution of the kidding intervals (KI, in days) by year of slaughter and by type of use of the goat. The KI is shown in the range of 100-530 days in the form of a boxplot. Individual identification and registration of small ruminants was introduced in January 2020. Analyses performed on this data may still show biases. The number of observations per year and by type of use can be found in the .csv.

it: Ripartizione degli interparti (IP, in giorni) delle capre per anno della macellazione e per tipo di utilizzo. Le IP viene mostrato nell'intervallo di 100-530 giorni sotto forma di boxplot. L'identificazione e la registrazione individuale dei piccoli ruminanti è stata introdotta nel gennaio 2020. Le analisi effettuate su questa base di dati possono comunque mostrare delle distorsioni. Il numero di osservazioni per tipo di utilizzo e anno si trova nel file .csv.

ablammung

display_name: ablammung

agnelage

display_name: agnelage

lambing

display_name: lambing

parto

display_name: parto

fr: Caprins - Intervalle entre les mises bas

de: Ziegen - Zwischenwurfzeit

en: Goats - Kidding interval

it: Caprini - Interparto delle capre


rinder-altersstruktur

title_for_slug: rinder-altersstruktur

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

de: nutztiere alter populationsentwicklung rinder

en: cattle age population-trends livestock

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

identifier: cattle-pyr

fr: Total des bovins enregistrés et vivants par catégorie d’âge et par sexe mâle et femelle (veaux, génisses, vaches, taureaux et boeufs).

de: Verteilung der registrierten, lebenden Rinder nach Altersklassen und Geschlechtern männlich und weiblich (Kälber, Rinder, Kühe, Muni, Ochsen) im Zeitverlauf.

en: Number of registered and living cattle by age category and sexes male and female (calfs, heifers, cows, bulls and steers).

it: Totale dei bovini registrati e vivi per categoria di età e per sesso maschile e femminile (vitelli, giovenche, vacche, tori e buoi).

age

display_name: age

alter

display_name: alter

bovini

display_name: bovini

bovins

display_name: bovins

cattle

display_name: cattle

eta

display_name: eta

evolution-de-la-population

display_name: evolution-de-la-population

evoluzione-della-popolazione

display_name: evoluzione-della-popolazione

population-trends

display_name: population-trends

populationsentwicklung

display_name: populationsentwicklung

rinder

display_name: rinder

fr: Bovins - Pyramide d'âges

de: Rinder - Altersstruktur

en: Cattle - Age pyramid

it: Bovini - Piramide delle età


fr: bovins age animaux-de-rente velage

de: nutztiere alter abkalbung rinder

en: cattle age calving livestock

it: animale-da-reddito bovini parto eta

identifier: cattle-ageLastCalving

fr: Répartition des âges au dernier vêlage (ADV, en mois) par an de l'abattage et par type de race de la vache (races laitières ou races à viande). L'ADV est représenté dans la fourchette 20-300 mois sous la forme d'un boxplot. Le nombre d'observations par catégorie et par année se trouve dans le .csv.

de: Verteilung des Alters (in Monaten) von Kühen bei der letzten Abkalbung (LKA) nach Jahr der Schlachtung und Rassentyp (Milchrassen oder Fleischrassen). Das LKA wird im Bereich von 20-300 Monaten in Form eines Boxplots wiedergegeben. Die Anzahl Beobachtungen pro Rassentyp und Jahr findet sich im .csv.

en: Distribution of the age at last calving (ALC, in months) by year of slaughter and by breed type of the cow (dairy breeds or beef breeds). The ALC is shown in the range of 20-300 months in the form of a boxplot. The number of observations per year and by breed type can be found in the .csv.

it: Ripartizione dell'età al ultimo parto (EUP, in mesi) delle vacche per anno della macellazione e per tipo di razza (razze da latte o razze di carne). L'EUP viene mostrato nell'intervallo di 20-300 mesi sotto forma di boxplot. Il numero di osservazioni per tipo di razza e anno si trova nel file .csv.

abkalbung

display_name: abkalbung

animale-da-reddito

display_name: animale-da-reddito

animaux-de-rente

display_name: animaux-de-rente

calving

display_name: calving

livestock

display_name: livestock

nutztiere

display_name: nutztiere

velage

display_name: velage

identitas

fr: 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.

fr: Bovins - Âge des vaches au dernier vêlage

de: Rinder - Alter von Kühen bei der letzten Abkalbung

en: Cattle - Age of cows at last calving

it: Bovini - Età delle vacche al ultimo parto


katzen-entwicklung-nach-rassen

title_for_slug: katzen-entwicklung-nach-rassen

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

de: populationsentwicklung katzen rassen heimtiere

en: breeds companion-animals cats population-trends

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

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).

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.

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).

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

agriculture

fr: Agriculture, sylviculture

de: Land- und Forstwirtschaft

en: Agriculture, forestry

it: Agricoltura, selvicoltura

de: Identitas AG

fr: Chats - Évolution par race

en: Cats - Evolution by breed

de: Katzen - Entwicklung nach Rassen

it: Gatti - Evoluzione per razza


de: heimtiere eigentumerinnen katzen

en: cats owners companion-animals

it: gatti animale-da-compagnia proprietari

identifier: cats-OwnersCanton

fr: Total des détentrices et détenteurs de chats enregistrés et vivants par canton.

en: Number of keepers of living and registered cats by canton.

de: Entwicklung der Anzahl Halterinnen und Halter der registrierten und lebenden Katzen pro Kanton.

it: Totale di detentrice e detentori di gatti registrati e vivi per cantone.

eigentumerinnen

display_name: eigentumerinnen

owners

display_name: owners

proprietaires

display_name: proprietaires

proprietari

display_name: proprietari

fr: Chats - Nombre de détentrices et détenteurs de chats par canton

de: Katzen - Anzahl Katzenhalter:innen pro Kanton

en: Cats - Number of cat keepers by canton

it: Gatti - Numero di detentori di gatti per cantone


rinder-entwicklung-nach-kantonen

title_for_slug: rinder-entwicklung-nach-kantonen

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

de: populationsentwicklung rinder kanton nutztiere

en: cattle canton livestock population-trends

it: cantone bovini animale-da-reddito evoluzione-della-popolazione

identifier: cattle-canton

fr: Total des bovins enregistrés et vivants par canton.

de: Bestand der registrierten, lebenden Rinder, unterteilt nach Kanton im Zeitverlauf.

en: Number of registered and living cattle by canton.

it: Totale dei bovini registrati e vivi per cantone.

animale-da-reddito

display_name: animale-da-reddito

animaux-de-rente

display_name: animaux-de-rente

bovini

display_name: bovini

bovins

display_name: bovins

canton

display_name: canton

cantone

display_name: cantone

cattle

display_name: cattle

evolution-de-la-population

display_name: evolution-de-la-population

evoluzione-della-popolazione

display_name: evoluzione-della-popolazione

kanton

display_name: kanton

livestock

display_name: livestock

nutztiere

display_name: nutztiere

population-trends

display_name: population-trends

populationsentwicklung

display_name: populationsentwicklung

rinder

display_name: rinder

fr: Bovins - Évolution par canton

de: Rinder - Entwicklung nach Kantonen

en: Cattle - Evolution by canton

it: Bovini - Evoluzione per cantone


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

label: geocat.ch permalink

spatial: Kanton Luzern

protocol: https

de: Datenshop

de: Produktansicht Geodatenshop

format: SERVICE

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

fr: Géoinformation du canton de Lucerne

de: Geoinformation Kanton Luzern

en: Geoinformation Canton of Lucerne

it: Geoinformazione del Cantone di Lucerna

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

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

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

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

political_level: canton

capacity: public

value: LU-Kt - Geocat Harvester

de: Kataster der belasteten Standorte (KbS)


fr: animaux-de-compagnie evolution-de-la-population type-dequide animaux-de-rente equides type-dutilisation

de: nutzungsarten equidentyp populationsentwicklung equiden heimtiere nutztiere

en: livestock equids population-trends companion-animals type-of-use equid-types

it: animale-da-compagnia animale-da-reddito tipo-di-utilizzo tipi-di-equidi equidi evoluzione-della-popolazione

identifier: equids-companionBreedTypes

fr: Évolution des équidés enregistrés et vivants selon leur type et selon leur utilisation animal de compagnie.

de: Entwicklung in Prozent und Gesamtbestand der registrierten und lebenden Equiden nach Equidentyp und nach Verwendungszweck Heimtier.

en: Evolution of registered and living equids by equid types and by type of use companion animal.

it: Evoluzione degli equidi registrati e vivi secondo il tipo di equidi e il tipo di utilizzo animale da compagnia.

animale-da-compagnia

display_name: animale-da-compagnia

animaux-de-compagnie

display_name: animaux-de-compagnie

companion-animals

display_name: companion-animals

equid-types

display_name: equid-types

equiden

display_name: equiden

equidentyp

display_name: equidentyp

equides

display_name: equides

equidi

display_name: equidi

equids

display_name: equids

heimtiere

display_name: heimtiere

nutzungsarten

display_name: nutzungsarten

tipi-di-equidi

display_name: tipi-di-equidi

tipo-di-utilizzo

display_name: tipo-di-utilizzo

type-dequide

display_name: type-dequide

type-dutilisation

display_name: type-dutilisation

type-of-use

display_name: type-of-use

agriculture

de: Land- und Forstwirtschaft

identitas

de: Identitas AG

en: Identitas AG

it: Identitas AG

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

fr: Équidés - Évolution par type d'utilisation et par type d'équidé

de: Equiden - Entwicklung nach Verwendungs-zweck und Equidentyp

en: Equids - Evolution by type of use and equid types

it: Equidi - Evoluzione per tipo di utilizzo e per tipo di equidi


culture

fr: Culture, médias, société de l'information, sport

de: Kultur, Medien, Informationsgesellschaft, Sport

en: Culture, media, information society, sport

it: Cultura, media, società dell'informazione, sport

population

fr: Population

de: Bevölkerung

en: Population

it: Popolazione

de: eigentumsbeschrankungoreb gebaude-und-anlagen kulturdenkmal kulturguterschutz nutzungsplanung ortsbildschutz zonenplan

de: Zeigt im Kantonalen Denkmalverzeichnis (KDV) und Bauinventar eingetragene Bauten und Schutzobjekte.

name: Denkmalpflege und Archäologie des Kantons Luzern, Denkmalpflege

de: Kantonales Denkmalverzeichnis und Bauinventar


wasserrechte

geography

de: Geographie

territory

de: Raum und Umwelt

title_for_slug: wasserrechte

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

label: Viewer und Download Portal

spatial: Kanton Zürich

fr: Revitalisierungsplanung, Haupteinzugsgebiete, Seebautenkataster, Gewässerraum, Wasserrechte, Seen, öffentliche Oberflächengewässer

format: WFS

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

fr: Öffentliche Oberflächengewässer, Gewässerraum und Wasserrechte

format: WMS

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

geoinformation-kanton-zuerich

fr: Département de Géoinformation du Canton de Zurich

de: Geoinformation Kanton Zürich

en: Department of Geoinformation of the Canton of Zurich

it: Dipartimento della geoinformazione del Cantone di Zurigo

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

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

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

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

value: ZH - Geocat Harvester

fr: Wasserrechte

de: Wasserrechte

en: Wasserrechte

it: Wasserrechte


equiden-entwicklung-der-meldungen

title_for_slug: equiden-entwicklung-der-meldungen

fr: exportations euthanasies tracabilite importations animaux-de-rente animaux-de-compagnie abattages premiers-enregistrements morts naissances equides

de: euthanasierungen verendungen schlachtungen ruckverfolgbarkeit erstregistrierungen heimtiere equiden ausfuhren importe geburten nutztiere

en: exports livestock births equids deaths imports companion-animals euthanasia slaughter first-registration traceability

it: macellazione animale-da-reddito animale-da-compagnia importazione nascite esportazione equidi registrazione-iniziale tracciabilita eutanasia morti

identifier: equids-popVariations

fr: Total des augmentations et des diminutions du cheptel équin dans la BDTA (annonces du Liechtenstein et de l'étranger inclus). Les notifications d'augmentation sont divisées en plusieurs catégories: naissance, importation, premier enregistrement et import après export. Les notifications de diminution sont réparties dans les catégories mort, euthanasie, abattage et changement de propriétaire à l'étranger.

de: Zuwachs und Abnahme der Equidenpopulation in der TVD im Zeitverlauf (inkl. Meldungen aus Liechtenstein und aus dem Ausland). Unterteilung der Zuwachsmeldungen nach Meldetypen Geburt, Einfuhr, Erstregistrierung, Einfuhr nach Ausfuhr. Unterteilung der Abnahmemeldungen nach Meldetypen Verendung, Euthanasie, Schlachtung, Eigentumsabgabe ins Ausland.

en: Increase and decrease of the equin population in the AMD (notifications from Liechtenstein and from abroad included). Increasing notifications contain the categories birth, import, first registration, and import after export. Decreasing notifications sum notifications of death, euthanasia, slaughter, and ownership cessation abroad.

it: Aumento e diminuzione totale della popolazione equina nella BDTA (comprese le notifiche del Liechtenstein e all'estero). Le notifiche di aumento sono suddivise nelle categorie: nascita, importazione, prima registrazione e importazione dopo una esportazione. Le notifiche di diminuzione sono suddivise nelle categorie morte, eutanasia, macellazione ed cambio di proprietario all'estero.

abattages

display_name: abattages

animale-da-reddito

display_name: animale-da-reddito

animaux-de-rente

display_name: animaux-de-rente

ausfuhren

display_name: ausfuhren

births

display_name: births

deaths

display_name: deaths

erstregistrierungen

display_name: erstregistrierungen

esportazione

display_name: esportazione

eutanasia

display_name: eutanasia

euthanasia

display_name: euthanasia

euthanasierungen

display_name: euthanasierungen

euthanasies

display_name: euthanasies

exportations

display_name: exportations

exports

display_name: exports

first-registration

display_name: first-registration

geburten

display_name: geburten

importations

display_name: importations

importazione

display_name: importazione

importe

display_name: importe

imports

display_name: imports

livestock

display_name: livestock

macellazione

display_name: macellazione

morti

display_name: morti

morts

display_name: morts

naissances

display_name: naissances

nascite

display_name: nascite

nutztiere

display_name: nutztiere

premiers-enregistrements

display_name: premiers-enregistrements

registrazione-iniziale

display_name: registrazione-iniziale

ruckverfolgbarkeit

display_name: ruckverfolgbarkeit

schlachtungen

display_name: schlachtungen

slaughter

display_name: slaughter

tracabilite

display_name: tracabilite

tracciabilita

display_name: tracciabilita

traceability

display_name: traceability

verendungen

display_name: verendungen

agriculture

fr: Agriculture, sylviculture

identitas

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

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

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


fr: 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

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

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.

political_level: commune

value: Gemeinde Emmen - Geocat Harvester

de: Sitzbänke, Abfalleimer und Grillstellen 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)


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

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

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)


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

de: Kartendienst mit dem Zuständigkeitsgebiet der Quartiervereine 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: Quartiervereine Emmen (WMS/WFS)


energieplan-emmen-wms

title_for_slug: energieplan-emmen-wms

de: Energieplan Gemeinde Emmen

de: DE#Kartendienst mit dem Energieplan der Gemeinde Emmen|FR#|EN#|IT#

de: WFS Energieplan Emmen

de: Geodienst Energieplan Emmen

de: Energieplan 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: 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: Strasseninfrastruktur Emmen (WMS/WFS)


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)


agriculture

de: Land- und Forstwirtschaft

en: Agriculture, forestry

it: Agricoltura, selvicoltura

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: baulinie eigentumsbeschrankungoreb nutzungsplanung wald zonenplan

de: Datenshop

de: Produktansicht Geodatenshop

de: Zeigt die statischen Waldgrenzen aufgrund einer formellen Waldfeststellung durch die Dienststelle Landwirtschaft und Wald (lawa).

fr: Géoinformation du canton de Lucerne

de: Geoinformation Kanton Luzern

en: Geoinformation Canton of Lucerne

it: Geoinformazione del Cantone di Lucerna

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

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

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

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

de: Statische Waldgrenzen


zonenplane

title_for_slug: zonenplane

de: baulinie eigentumsbeschrankungoreb grundeigentum nutzungsplanung raumplanung zonenplan

de: Zonenpläne regeln die zulässigen Nutzungen im Gebiet einer Gemeinde.

de: Zonenpläne


gestaltungsplane-perimeter

title_for_slug: gestaltungsplane-perimeter

de: eigentumsbeschrankungoreb nutzungsplanung raumplanung sondernutzungsplanung

de: Perimeter der Gestaltungspläne

de: Gestaltungspläne: Perimeter


zonenplane-gewasserraum

title_for_slug: zonenplane-gewasserraum

de: fliessgewasser gewasserschutz nutzungsplanung oberflachengewasser raumplanung zonenplan

spatial: Schweiz

de: Gewässerraum aus den Zonenplan-Überlagerungen, unterschieden nach Freihaltezone und Grünzone.

de: Zonenpläne: Gewässerraum


kommunale-bebauungsplane

geography

de: Geographie

territory

de: Raum und Umwelt

title_for_slug: kommunale-bebauungsplane

de: baulinie eigentumsbeschrankungoreb gebaude-und-anlagen nutzungsplanung raumplanung sondernutzungsplanung wirtschaftliche-aktivitaten

de: Objekte und Perimeter der kommunalen Bebauungspläne (Naturobjekte, Baulinien, Abgrenzungen, Baubereiche, Strassen, öffentlicher Raum, usw.)

de: Kommunale Bebauungspläne


maintainer: EnviDat Support

en: shortwave-radiation longwave-radiation snow-height meteo-station gemstock

en: DATA ACCESS

media_type: SMET

en:
Meteo data at Gemsstock [Level 2 dataset](http://models.slf.ch/p/dataset-processing/).

fields      = timestamp TSS HS VW DW VW_MAX OSWR ISWR ILWR RECORD AUX_VOLTAGE LOGGER_VOLTAGE LW_SENSOR_TEMP VENTILATION_FLAG OLWR

en: Meteorological station at Gemstock (3021 m asl) in Canton Uri. The station includes in/out LW/SW and a snow height sensor.

gemstock

display_name: gemstock

longwave-radiation

display_name: longwave-radiation

meteo-station

display_name: meteo-station

shortwave-radiation

display_name: shortwave-radiation

snow-height

display_name: snow-height

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: GEM2: Meteorological and snow station at Gemsstock (3021 m asl), Canton Uri, Switzerland


energiebilanz-der-schweiz

maintainer: Bundesamt für Energie BFE

title_for_slug: Energiebilanz der Schweiz

de: bruttoenergieverbrauch ogd115-bfe sektoren inlandproduktion energiebilanz endenergieverbrauch

fr: Bilan énergétique de la Suisse

de: Energiebilanz der Schweiz

en: Switzerland energy balance

it: Bilancio energetico della Svizzera

de: Beispiel SPARQL Query auf LINDAS für den Energiebilanz der Schweiz

format: SPARQL

fr: Le bilan énergétique de la Suisse renseigne sur la production nationale, l'importation / l'exportation, le stockage, la transformation, la consommation propre, les pertes de transport et de réseau et la consommation des différentes sources d'énergie en Suisse sur une base annuelle. La production d'électricité et de chaleur à distance ainsi que l'input des agents énergétiques qui y est lié sont présentés par technologie de production. La consommation finale d'énergie de bois, de charbon, de déchets et de déchets industriels, de produits pétroliers, de gaz, d'autres énergies renouvelables (carburants biogènes, biogaz, soleil, chaleur ambiante), d'électricité et de chauffage à distance est présentée pour les secteurs des ménages, de l'industrie, des services, des transports et de la différence statistique, y compris l'agriculture.

en: Switzerland's energy balance provides information on domestic production, import / export, storage, conversion, own consumption, transport and grid losses and consumption of the various energy carriers in Switzerland on an annual basis. The production of electricity and district heating and the associated energy carrier input are presented by generation technology. The final energy consumption of wood, coal, waste and industrial waste, petroleum products, gas, other renewable energies (biogenic fuels, biogas, solar, environmental heat), electricity and district heating is shown for the sectors households, industry, services, transport and statistical difference incl. agriculture.

de: Die Energiebilanz der Schweiz gibt Auskunft über Inlandproduktion, Import / Export, Lagerhaltung, Umwandlung, Eigenverbrauch, Transport- und Netzverluste und Verbrauch der verschiedenen Energieträger in der Schweiz auf jährlicher Basis. Die Produktion von Elektrizität und Fernwärme und der damit verbundene Energieträgerinput werden nach Erzeugungstechnologien dargestellt. Der Endenergieverbrauch von Holz, Kohle, Müll und Industrieabfällen, Erdölprodukten, Gas, Übrige erneuerbare Energien (Biogene Treibstoffe, Biogas, Sonne, Umweltwärme), Elektrizität und Fernwärme wird für die Sektoren Haushalte, Industrie, Dienstleistungen, Verkehr und Statistische Differenz inkl. Landwirtschaft ausgewiesen.

it: Il bilancio energetico della Svizzera fornisce informazioni sulla produzione nazionale, l'importazione/esportazione, lo stoccaggio, la conversione, il consumo proprio, il trasporto e le perdite di rete e il consumo dei vari vettori energetici in Svizzera su base annua. La produzione di elettricità e di teleriscaldamento e il relativo apporto di vettori energetici sono presentati per tecnologia di generazione. Il consumo finale di energia di legno, carbone, rifiuti e scarti industriali, prodotti petroliferi, gas, altre energie rinnovabili (combustibili biogenici, biogas, solare, calore ambientale), elettricità e teleriscaldamento è mostrato per i settori famiglie, industria, servizi, trasporti e differenza statistica, inclusa l'agricoltura.

bruttoenergieverbrauch

display_name: bruttoenergieverbrauch

endenergieverbrauch

display_name: endenergieverbrauch

energiebilanz

display_name: energiebilanz

inlandproduktion

display_name: inlandproduktion

sektoren

display_name: sektoren

energy

fr: Energie

de: Energie

en: Energy

it: Energia

bundesamt-fur-energie-bfe

fr: Office fédéral de l'énergie OFEN

de: Bundesamt für Energie BFE

en: Swiss Federal Office of Energy SFOE

it: Ufficio federale dell'energia UFE

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

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

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

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

political_level: confederation


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

en: View video on youtube!

en: DHM-Kacheln zusammenfügen

en:
In order to use the QGIS plugin ‘Seilaplan’ for digital cable line planning, a digital terrain model (DTM) is required. In this tutorial video, we show how to merge multiple DTM raster tiles into one file, using the QGIS tool ‘Virtual Raster’. This simplifies the digital planning of a cable line using the QGIS plugin ‘Seilaplan’. Please note that the tutorial language is German!

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

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

Für die Verwendung des QGIS Plugins Seilaplan zur digitalen Seillinienplanung ist ein digitales Höhenmodell (DHM) nötig. In diesem Tutorialvideo zeigen wir, wie man mit dem QGIS-Plugin Virtuelles Raster mehrere DHM-Kacheln zu einem einzigen Rasterfile zusammenfügen und abspeichern kann. Für die Seillinienplanung mit Seilaplan muss nun nur noch eine Datei, mein neues virtuelles Raster, ausgewählt werden.

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

cable-yarding

display_name: cable-yarding

digital-elevation-model

display_name: digital-elevation-model

digital-planning

display_name: digital-planning

geodata-processing

display_name: geodata-processing

geoinformation-system

display_name: geoinformation-system

open-source

display_name: open-source

qgis-plugin

display_name: qgis-plugin

raster-processing

display_name: raster-processing

seilaplan

display_name: seilaplan

swiss-geodata

display_name: swiss-geodata

en: Seilaplan Tutorial: Merge DTM tiles


en: satellite hazard-mapping natural-hazard avalanche snow

en: SPOT6 Avalanche outlines 24 January 2018

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.

format: SHP

mimetype: application/zip

en:
Outlines of 18'737 avalanches mapped from SPOT6 satellite data over the Swiss Alps on 24 January 2018. The outlines have different attributes described in the data example key (ExampleKey_AvalMapping.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.

Abstract.
Accurate and timely information on avalanche occurrence are key for avalanche warning, crisis management and avalanche documentation. Today such information is mainly available at isolated locations provided by observers in the field. The achieved reliability considering accuracy, completeness and reliability of the reported avalanche events is limited. In this study we present the spatial continuous mapping of a large avalanche period in January 2018 covering the majority of the Swiss Alps (12’500 km2).

We tested different satellite sensors available for rapid mapping during a first avalanche period. Based on these experiences, we tasked SPOT6/7 data for data acquisition to cover the second, much larger avalanche period. We manually mapped the outlines of 18’737 individual avalanche events, applying image enhancement techniques to analyze regions in cast shadow as well as brightly illuminated ones. The resulting dataset of mapped avalanche outlines, having a unique completeness and reliability, is evaluated to produce maps of avalanche occurrence and avalanche size. We validated the mapping of the avalanche outlines using photographs acquired from helicopters just after the avalanche period.

This study demonstrates the applicability of optical, very high spatial resolution satellite data to map an exceptional avalanche period with very high completeness, accuracy and reliability over a large region. The generated avalanche data is of great value to validate avalanche bulletins, complete existing avalanche databases and for research applications by enabling meaningful statistics on important avalanche parameters.

Koordinate System: CH1903+ LV95 LN02

avalanche

display_name: avalanche

hazard-mapping

display_name: hazard-mapping

natural-hazard

display_name: natural-hazard

satellite

display_name: satellite

snow

display_name: snow


weather-station-davos-wolfgang

maintainer: Jörg Wieder

title_for_slug: weather-station-davos-wolfgang

en: temperature pressure relative-humidity weather raclets

en: Weather Station Davos Wolfgang

media_type: text/csv

en: The data file contains date and time (YYYY-MM-DD hh:mm:ss) in UTC, temperature (°C), relative humidity (%), pressure (hPa) at 10 m above ground and above sea level. The data was averaged over 10 minutes.

mimetype: text/csv

en: The dataset contains weather parameters measured at Davos Wolfgang (LON: 9.853594, LAT: 46.835577).

pressure

display_name: pressure

raclets

display_name: raclets

relative-humidity

display_name: relative-humidity

temperature

display_name: temperature

weather

display_name: weather

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal


maintainer: Matthias Haeni

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

en: Data plot of the forest station (ALB)

media_type: application/pdf

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

format: PDF

mimetype: application/pdf

en: Site aerial photo (Alpthal)

media_type: image/jpeg

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

mimetype: image/jpeg

en: Forest station data (ALB)

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

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

swiss-forest-lab

display_name: swiss-forest-lab

wind-speed

display_name: wind-speed

envidat

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

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


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

en: Data Compilation

media_type: ZIP

en: Compressed TXT files

format: ZIP

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

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

boundary-layer-winds

display_name: boundary-layer-winds

saltation

display_name: saltation

snow-cover

display_name: snow-cover

snow-depth

display_name: snow-depth

vertical-wind-motion

display_name: vertical-wind-motion

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


en: viscous-deformation snow-failure snow-mechanics acoustic-emissions sintering fiber-bundle-model snow snow-avalanche

en: fiber-bundle-model-for-snow-failure

media_type: application/zip

en: Data underlying Figures in publication "Modelling Snow Failure Behavior and Concurrent Acoustic Emissions Signatures with a Fiber Bundle Model" submitted to "Geophysical Research Letters"

en:
This dataset contains modeled and experimental results for laboratory snow failure experiments and the concurrent acoustic emissions signatures for different loading rates. For modelling the snow failure we used a fiber bundle model that includes sintering and viscous deformation.

The data underlay the figures in the publication "Modelling Snow Failure Behavior and Concurrent Acoustic Emissions Signatures with a Fiber Bundle Model" submitted for publication to "Geophysical Research Letters".

acoustic-emissions

display_name: acoustic-emissions

fiber-bundle-model

display_name: fiber-bundle-model

sintering

display_name: sintering

snow

display_name: snow

snow-avalanche

display_name: snow-avalanche

snow-failure

display_name: snow-failure

snow-mechanics

display_name: snow-mechanics

viscous-deformation

display_name: viscous-deformation

en: Fiber Bundle Model for snow failure and concurrent Acoustic Emissions


maintainer: Lisa Hülsmann

en: forest-inventory primeval-forests mortality-models fagus-sylvatica forest-reserves tree-mortality

en: German data

en:
READ ME for

Hülsmann L, Bugmann H, Commarmot B, Meyer P, Zimmermann S, Brang P
Data from: Does one model fit all? Patterns of beech mortality in natural forests of three European regions.
Ecological Applications http://dx.doi.org/10.5061/dryad.h4s6t

Forest inventory data of beech for the development of individual-tree mortality models from strict forests reserves in Switzerland, Germany and Ukraine.

The data package provides the files
CH_reduced: inventory data of the reduced dataset from Switzerland that was used to assess the influence of additional environmental and stand characteristics on beech mortality
CH: inventory data from strict forest reserves in Switzerland
DE: inventory data from strict forest reserves in Germany
UA: inventory data from a primeval beech forest in Ukraine

A set of three consecutive inventories was used to generate records for the calibration of mortality models based on trees that were alive in the first and second inventory and either dead or alive in the third inventory.
Diameter at breast height: dbh (mm)
Annual relative basal area increment: relBAI (), calculated based on the first and the second dbh measurement as the compound annual growth rate of the trees basal area (Bigler and Bugmann 2004)
Status of the tree: y, 0 = alive, 1 = dead
Length of the mortality period: dt (years)

Additional environmental and stand characteristics were derived for the reduced Swiss dataset.
Note the varying seasonal level of the covariates considering the entire year, the growing season from April to September (G) and the winter month January to March (W).
All climatic covariates were calculated for both the ‘growth’ (2) and the ‘mortality’ period (3). The stand covariates were derived for the second inventory of each record (2).

Mean diameter at breast height: dbh.mean.2 (mm)
Interquartile range of diameter at breast height: dbh.IQR.2 (mm)
Median diameter at breast height: dbh.median.2 (mm)
Basal area per hectare: BA.2 (m2 ha-1)
Number of trees per hectare: N.2 (ha-1)
pH-value: pH ()
Available water capacity in the soil: AWC (mm)
Mean annual precipitation sum: P.2, P.3 (mm)
Mean precipitation sum during growing season: PG.2, PG.3 (mm)
Mean annual air temperature: mT.2, mT.3 (°C)
Mean air temperature during growing season: mTG.2, mTG.3 (°C)
Mean air temperature during winter months: mTW.2, mTW.3 (°C)
Mean growing degree-days: GDD.2, GDD.3 ()
Mean number of months during growing season with water deficit: mDEFdurG.2, mDEFdurG.3 ()
Mean annual maximum water deficit: mDEFmax.2, mDEFmax.3 (mm)
Overall maximum of the annual maximum water deficit: maxDEFmax.2, maxDEFmax.3 (mm)
Mean of cumulative water deficit during growing season: mDEFcumG.2, mDEFcumG.3 (mm)
Overall maximum of cumulative water deficitduring growing season: maxDEFcumG.2, maxDEFcumG.3 (mm)
Percentage of years with at least one month water deficit: percDEF.2, percDEF.3 (%)

en: Swiss data reduced

en: Swiss data full

en: Ukrainian data

en:
The datasets comprise nearly 19’000 trees of European beech (_Fagus sylvatica_ L.) from unmanaged forests in Switzerland, Germany / Lower Saxony and Ukraine. Tree death was modelled as a function of size and growth, i.e., stem diameter (DBH) and relative basal area increment (relBAI). To explain the spatial and temporal variability in mortality patterns, we considered a large set of environmental and stand characteristics.

 Inventory data
The strict forest reserves in Switzerland and Germany had been established in the period of 1961-1975 and 1971-1974, respectively. Every reserve included up to 10 permanent plots ranging from 0.09 to 1.8 ha in size, with slightly irregular re-measurement intervals. Permanent plots with pure or mixed beech stands were selected from the reserves of both networks. Reserves with considerable wind disturbance during the monitored intervals were excluded from the analysis. In addition to data from the Swiss and German reserves, data from a 10 ha plot in the primeval beech forest Uholka in Western Ukraine including three remeasurements were used. The inventory data provide diameter measurements at breast height (dbh) for revisited trees with a diameter of more than 4, 7 and 6 cm for Switzerland, Germany and Ukraine, respectively.

 Mortality predictors
A set of three consecutive inventories was used to generate records for the calibration of mortality models based on trees that were alive in the first and second inventory and either dead or alive in the third inventory. As an explanatory variable, the annual relative basal area increment (relBAI) was calculated based on the first and the second dbh measurement as the compound annual growth rate of the trees basal area. Tree dbh in the second inventory was used in addition to relBAI to model tree status (alive or dead) of the third inventory.

To increase the generality of the mortality models, we selected environmental variables that are known to have a considerable influence on growth and mortality of beech. We emphasized the effects of water availability using a large set of drought characteristics that were calculated based on the local site water balance. We also related beech mortality to soil pH, temperature, precipitation and growing degree-days. Additionally, we considered stand characteristics that reflect the development stage, competition and structure of the forests.

 Further information
For further information, refer to Hülsmann _et al_. (2016) Does one model fit all? patterns of beech mortality in natural forests of three European regions. _Ecological Applications_.

fagus-sylvatica

display_name: fagus-sylvatica

forest-inventory

display_name: forest-inventory

forest-reserves

display_name: forest-reserves

mortality-models

display_name: mortality-models

primeval-forests

display_name: primeval-forests

tree-mortality

display_name: tree-mortality

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal

en: Data from: Does one model fit all? patterns of beech mortality in natural forests of three European regions


data-set-on-snow-instability

title_for_slug: data-set-on-snow-instability

en: failure-initiation slab crack-propagation rutschblock weak-layer snow-stability-evaluation slab-tensile-support avalanche-forcasting snow-avalanche propgatoin-saw-test

en: data set on snow instability

en: Read-me file on snow instability data

en:
These data on snow instability include three data subsets that were analyzed and the results published by Reuter and Schweizer (2018) who suggest a novel framework on how to describe snow instability by failure initiation, crack propagation and slab tensile support.

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

These data are the basis of the following publication:
Reuter, B. and Schweizer, J., 2018. Describing snow instability by failure initiation, crack propagation and slab tensile support. Geophys. Res. Lett., 45, doi: 10.1029/2018GL078069.

avalanche-forcasting

display_name: avalanche-forcasting

crack-propagation

display_name: crack-propagation

failure-initiation

display_name: failure-initiation

propgatoin-saw-test

display_name: propgatoin-saw-test

rutschblock

display_name: rutschblock

slab

display_name: slab

slab-tensile-support

display_name: slab-tensile-support

snow-stability-evaluation

display_name: snow-stability-evaluation

weak-layer

display_name: weak-layer

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

en: Data set on snow instability


maintainer: EnviDat

en: csv meteorological-data-format nead metadata-convention research-data-management

en: PyNEAD (future reference implementation)

en: MeteoIO (future reference implementation)

media_type: text/html

format: HTML

mimetype: text/html

en: NEAD syntax v0.1 (EBNF)

media_type: text/plain

format: TXT

mimetype: text/plain

en: NEAD on GitHub

media_type: HTML

en:
Acknowledgement: The NEAD format includes NetCDF metadata and is proudly inspired by both SMET and NetCDF formats. NEAD is designed as a long-term data preservation and exchange format.

The NEAD specifications were presented at the "WMO Data Conference 2020 - Earth System Data Exchange in the 21st Century" (Virtual Conference).

-----------------------

Summary:
The Non-Binary Environmental Data Archive (NEAD) format is being developed as a generic and intuitive format that combines the self-documenting features of NetCDF with human readable and writeable features of CSV. It is designed for exchange and preservation of time series data in environmental data repositories.

License: The NEAD specifications are released to the public domain under a Creative Commons CC0 "No Rights Reserved" international license. You can reuse the information contained herein in any way you want, for any purposes and without restrictions.

csv

display_name: csv

metadata-convention

display_name: metadata-convention

meteorological-data-format

display_name: meteorological-data-format

nead

display_name: nead

research-data-management

display_name: research-data-management

en: Non-Binary Environmental Archive Data (NEAD) format


en: snow-precipitation complex-terrain orographic-precipitation precipitation-variability cosmo-wrf

en: StationData

en: Snow depth maps over Dischma valley for 26 January 2016 and 9 March 2016 and snow depth differences between the two dates.

en:
The data presented here corresponds to the publication "Spatial variability in snow precipitation and accumulation in COSMO-WRF simulations and radar estimations over complex terrain" (Gerber et al., 2018a), which investigates the precipitation variability of snow precipitation in the central northern part of the Grisons (CH) and the publication "The importance of near-surface winter precipitation processes in complex alpine terrain" (Gerber et al., 2018b). The dataset contains:

* WRFsimulations: WRF simulation output for simulations with 4x (14x) terrain smoothing with an output timestep of 30 min/5 min and horizontal grid spacings of 1350 m, 450 m, 150 m and 50 m (currently: data available upon request).
* StationData: Meteorological station data of 18 meteorological stations in the central northern part of the Grisons with 30 minute resolution for the period 1 January 2016 till 1 May 2016.
* ADS80data: Photogrammetrically determined snow depth distribution data over the Dischma valley for the 26 January 2016 and 9 March 2016. Snow heights are corrected for buildings, vegetation (> 1m), outliers, and pixles, which are obivously snow-free on the pictures (Bühler et al., 2015). In addition the snow depth differences (snow depth on 9 March 2016 minus snow depth on 26 January 2016) are provided.

For more details about the simulation and observation data, see Gerber et al., 2018 and Gerber and Sharma (2018).

Publications:

Bühler, Y., Marty, M., Egli, L., Veitinger, J., Jonas, T., Thee, P., and Ginzler, C.: Snow depth mapping in high-alpine catchments using digital photogrammetry. Cryosphere, 9, 229–243, doi:10.5194/tc-9-229-2015, 2015.

Gerber, F., Besic, N., Sharma, V., Mott, R., Daniels, M., Gabella, M., Berne, A., Germann, U., and Lehning, M.: Spatial variability in snow precipitation and accumulation in COSMO-WRF simulations and radar estimations over complex terrain, The Cryosphere, 12, 3137–3160, doi:10.5194/tc-12-3137-2018, 2018.

Gerber, F., Mott, R. and Lehning, M.: The importance of near-surface winter precipitation processes in complex alpine terrain, Journal of Hydrometeorology, accepted, 2018.

Gerber, F., and Sharma, V.: Running COSMO-WRF on very-high resolution over complex terrain. Laboratory of Cryospheric Sciences CRYOS, École Polytechnique Fédérale de Lausanne EPFL, Lausanne, Switzerland. doi:10.16904/envidat.35, 2018.

complex-terrain

display_name: complex-terrain

cosmo-wrf

display_name: cosmo-wrf

orographic-precipitation

display_name: orographic-precipitation

precipitation-variability

display_name: precipitation-variability

snow-precipitation

display_name: snow-precipitation

en: DISCHMEX - High-resolution WRF simulations in complex alpine terrain and station measurements


en: airborne-laser-scanning snow-distribution canopy-height forest-structure snow-depth

en: Readme

en: Snow depth maps

en: Snow depth maps from two snow-on flights at each of the three field areas Davos (March 20th and 31st 2017), Engadien (March 20th and 31st, 2017) and Grand Mesa (February 8th and 16th, 2017)

en: Canopy height maps

en: Canopy height maps of each of the three field areas Davos, Engadine and Grand Mesa

en: Terrain elevation maps

en: Digital elevation model computed from snow-off flights for each of the field areas Davos, Engadine and Grand Mesa

en:
This dataset includes snow depth, canopy height and terrain elevation maps of forest stands in the Grisons (CH) and at Grand Mesa (CO,USA) derived from airborne lidar. Data were acquired i) within a pilot mission of NASA's Airborne Snow Observatory in the Swiss Alps in March 2017 and ii) during NASA’s SnowEx campaign at Grand Mesa in February 2017. Snow depth maps are available for two dates separated by approx.1 week, and include an area of ca. 0.5km2 for each of the three sites Davos, Engadine and Grand Mesa.
All data were presented and analyzed in the publication 'Revisiting Snow Cover Variability and Canopy Structure within Forest Stands: Insights from Airborne Lidar Data' (Mazzotti et al., 2019, WRR, doi: 10.1029/2019WR024898). This publication must be cited when using this dataset.

Paper Citation:
 > _Giulia Mazzotti; William Ryan Currier; Jeffrey S. Deems; Justin M. Pflug; Jessica D. Lundquist; Tobias Jonas (2019). Revisiting Snow Cover Variability and Canopy Structure Within Forest Stands: Insights From Airborne Lidar Data. Water Resources Research, 55, 6198– 6216, [doi: 10.1029/2019WR024898](https://doi.org/10.1029/2019WR024898)._

airborne-laser-scanning

display_name: airborne-laser-scanning

canopy-height

display_name: canopy-height

forest-structure

display_name: forest-structure

snow-depth

display_name: snow-depth

snow-distribution

display_name: snow-distribution

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal

en: ALS-based snow depth and canopy height maps from flights in 2017 (Grisons, CH and Grand Mesa, CO)


aerosol-data-weissfluhjoch

title_for_slug: aerosol-data-weissfluhjoch

en: linda particles inp raclets aerosol ice-nucleation

en: OPC-GT526S Dataset Weissfluhjoch

en: Particle counts were recorded in six size channels (0.3, 0.5, 0.8, 1.5, 2.5 and 5 μm) in a resolution of 20 seconds (time in UTC) by a particle counter (GT-526S, Met One Instruments, Inc.).

en: APS Dataset Weissfluhjoch

media_type: application/x-netcdf

en: The APS file contains aerosol data (total number concentration, median, mean, geometric mean, mode and geometric standard deviation of the size distribution) for aerodynamic diameters between 0.5 μm and ~20 μm as well as instrument characteristics, in a temporal resolution of 20 seconds, with time in UTC, measured at Weissfluhjoch.

mimetype: application/x-netcdf

en: OPC-N3 Dataset Weissfluhjoch

en: Particle concentrations in a size range of 0.35 μm to 40 μm were measured with an OPC-N3 (Alphasense, Inc.) in a resolution of 20 seconds (time in UTC). PM₁, PM₂,₅ and PM₁₀ were directly derived.

en: SMPS Dataset Weissfluhjoch

en: The SMPS file contains aerosol data (particle concentration, total number concentration, median, mean, geometric mean, mode and geometric standard deviation of the size distribution) in a size range between 12 and 460 nm (electrical mobility diameter) as well as instrument characteristics (sample temperature, pressure, relative humidity, mean free path and gas viscosity) in a temporal resolution of 2 minutes, with time in UTC, measured at Weissfluhjoch.

en: LINDA Dataset Weissfluhjoch

en: The LINDA file contains information on temperature (in °C) dependent frozen fractions, number of Ice Nuleating Particles (INP, per standard liter) and differential INP concentrations (per standard liter and Kelvin).

en:
Aerosol properties were measured between February 8 and March 31 2019 at the measurement site Weissfluhjoch (LON: 9.806475, LAT: 46.832964). Optical and aerodynamic particle counters, as well as a scanning mobility particle size spectrometer and an ice nuclei counter were deployed to report particle concentrations and size distributions in fine (10-1000 nm) and coarse mode (> 1000 nm), cloud condensation nuclei concentrations (CCNCs), and ice nuclei particle concentrations (ICNCs). The ambient particles were transported via a heated inlet to be distributed to the particle detecting devices inside the setup room.

Optical Particle Counter (OPC): Light scattering of a diode laser beam caused by travelling particles is used in the both, the OPC-N3 (0.41 - 38.5 μm) and GT-526S (0.3 – 5 μm), to determine their size and number concentration. For the OPC-N3, particle size spectra and concentration data are used afterwards to calculate PM₁, PM₂,₅ and PM₁₀ (assumptions: particle density: 1.65 g cmˉ³, refractive index: 1.5+i0).

Aerodynamic Particle Sizer (APS): The APS (3321, TSI Inc.) measured the particle size distribution for aerodynamic diameters between 0.5 μm and ~20 μm by the particle’s time-of-flight and light-scattering intensity (assumptions: particle density 1 g cmˉ³).

Scanning Mobility Particle Size Spectrometer (SMPS): Particle number concentrations in a size range between 12 and 460 nm (electrical mobility diameter) were measured at Davos Wolfgang, using a Scanning Mobility Particle Sizer Spectrometer (SMPS 3938, TSI Inc.). The classifier (3082, TSI Inc.) was equipped with a neutralizer (3088, TSI Inc.) and a differential mobility analyzer working with negative polarity (3081, TSI Inc.). The size selected particles were counted by a water-based condensation particle counter (3787 TSI Inc.). The TSI AIM software was used to provide particle size distributions by applying multiple charge and diffusion loss corrections (assumptions: particle density 1 g cmˉ³).

Coriolis μ and LINDA: A microbial air sampler (Coriolis μ, bertin Instruments) was used to collect airborne particles for investigating their ice nucleating ability with a droplet freezing device. Particles larger than 0.5 μm were drawn with an air flow rate of up to 300 l min‾¹ into the cone and centrifuged into the wall of the cone due to the forming vortex. The liquid sample was transferred into the LED based Ice Nucleation Detection Apparatus (LINDA, University of Basel) to study heterogeneous ice formation (immersion freezing mode) of ambient airborne particles.

aerosol

display_name: aerosol

ice-nucleation

display_name: ice-nucleation

inp

display_name: inp

linda

display_name: linda

particles

display_name: particles

raclets

display_name: raclets

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: Aerosol Data Weissfluhjoch


maintainer: Anita C. Risch

en: soil-biology nutrient-network soil global grassland soil-chemistry worldwide mineralization

en:
site.code: Site code

Continent: Continent

sampleID: Sample ID

nn.latitude: Lattitude

nn.longitude: Longitude

bioclim.T.ann: Mean annual temperature (°C)

bioclim.T.var: Temperature variability (°C)

bioclim.T.q.wet: Temperature of the wettest quarter (°C)

bioclim.T.q.dry: Temperature of the driest quarter (°C)

bioclim.T.q.warm: Temperature of the warmest quarter (°C)

bioclim.P.ann: Mean annual preciptiation (mm)

bioclim.P.q.wet: Precipitation of the wettest quarter (mm)

ch.pH: pH

ch.WSK.vol: Water holding capacity (vol%)

ch.bulkdensity.gcm3: Bulk density (g cm-3)

ch.porespace: Pore space (vol%)

ch.sand.perc: Soil texture: sand (%)

ch.silt.perc: Soil texture: silt (%)

ch.clay.perc: Soil texture: clay (%)

ch.NO3start.mgg: NO3 at the beginning of the incubation (mgkg)

ch.Ntot.perc: Total soil N (%)

ch.Ctot.perc: Total soil C (%)

ch.Corg.perc: Soil organic C (%)

ch.netNminfield.mgkgd: Realised soil net N mineralisation (mg kg-1 d-1)

ch.netNminlab.mgkgd: Potential soil ne N mineralisation (mg kg-1 d-1)

archaea.cpg.log: Ammonia oxidising archaea (archaeal amoA gene copies g-1 soil)

bacteria.cpg.log: Ammonia oxidising bacteria (bacterial amoA gene copies g-1 soil)

micr.biom: Microbial biomass (ug g-1 soil)

ch.CtoN: C to N ratio

ch.netNnitriffield.mgkgd.sqrt: Realised soil net nitrification, transformed (mg kg-1 d-1)

ch.netNammoniffield.mgkgd.sqrt: Realised soil net ammonification, transformed (mg kg-1 d-1)

ch.netNnitriflab.mgkgd.sqrt: Potential soil net nitrification, transformed (mg kg-1 d-1)

ch.netNammoniflab.mgkgd.sqrt: Potential soil net ammonifiation, transformed (mg kg-1 d-1)

format: XLS

en:
This dataset contains all data on which the following publication below is based.

Paper Citation:

Risch, A. C.; Zimmermann, S.; Ochoa-Hueso, R.; Schütz, M.; Frey, B.; Firn, J. L.; Fay, P. A.; Hagedorn, F.; Borer, E. T.; Seabloom, E. W.; et al. Soil net nitrogen mineralisation across global grasslands. Nat. Commun. 2019, 10 (1), 4981 (10 pp.). doi.org/10.1038/s41467-019-12948-2

Please cite this paper together with the citation for the datafile.

We conducted coordinated measurements of realised and potential soil net Nmin, and assessed water holding capacity, bulk density, C and N content, texture, pH, pore space, microbial biomass, and archaeal (AOA) and bacterial (AOB) ammonia oxidiser abundance using identical materials and methods across 30 grasslands on six continents. The sites covered a globally relevant range of climatic and edaphic conditions. Climate data was obtained from worldclim - Global climate data https://www.worldclim.org/

global

display_name: global

grassland

display_name: grassland

mineralization

display_name: mineralization

nutrient-network

display_name: nutrient-network

soil

display_name: soil

soil-biology

display_name: soil-biology

soil-chemistry

display_name: soil-chemistry

worldwide

display_name: worldwide

education

en: Education and science


en: ice-nucleation aerosol backward-trajectories raclets clouds

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

backward-trajectories

display_name: backward-trajectories

clouds

display_name: clouds

envidat

en: EnviDat: the Environmental Data Portal

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


high-resolution-climate-data-for-europe

title_for_slug: high-resolution-climate-data-for-europe

en: cordex air-temperature daily-climate maximum-temperature eur11 europe precipitation minimum-temperature

en: CHELSA EUR11 Technical Documentation

media_type: PDF

en: As the CHELSA project is continuously expanded, certain new parameters, time scales etc. are not included anymore in the original publication (Karger et al. 2017). We are therefore provide this document as a guideline of the current climatic parameters available and will expand it as new parameters or time periods will become available. Please refer to the version history for changes made in the document.

en: Data Access

media_type: NetCDF

en:
High-resolution information on climatic conditions is essential to many applications in environmental and ecological sciences. Here we present downscaled climate data for the CORDEX EUR11 domain at a high resolution of 30 arc sec. The temperature algorithm is based on statistical downscaling of atmospheric temperature lapse rates. The precipitation algorithm incorporates orographic predictors including wind fields, valley exposition, and boundary layer height. The resulting data consist of a daily temperature and precipitation timeseries.

The data is distributed under a: Creative Commons: Attribution 4.0 International (CC BY 4.0) license.

air-temperature

display_name: air-temperature

cordex

display_name: cordex

daily-climate

display_name: daily-climate

europe

display_name: europe

maximum-temperature

display_name: maximum-temperature

minimum-temperature

display_name: minimum-temperature

precipitation

display_name: precipitation

en: High resolution climate data for Europe


en: species-distribution-model species-richness pinales species-occurrence species-range-map fagales

en: Species range maps of species in Fagales and Pinales (with enough occurrences)

en: species_map.zip includes species 1690 range maps generated based on the integrated method described in Lyu et al., (2022). File names with (polygon) indicate that this map is only generated by polygon mapping, as there are not enough occurrences for SDMs.

en: Occurrence maps for species of Fagales and Pinales with few records

en: Point_buffer.zip includes 267 occurrence maps of species that do not have enough occurrence data for polygon mapping.

en:
This database contains 1957 distribution maps of species from Fagales and Pinales constructed based on a method integrating polygon mapping and SDMs (Lyu et al., 2022).
To construct the maps, we first collected occurrence data from 48 different sources. According to the number of occurrences after data cleaning, three kinds of maps are constructed: (1) For species with more than 20 occurrences, we performed SDM and polygon mapping described in Lyu et al. (2022) and select the integration of the two layers as the distribution range; (2) For species with more than 4 but less than 20 occurrences, we only use polygon mapping to draw the distribution range; (3) For species with less than 4 occurrences, a 20-km buffer was generated around the occurrences as the distribution range. The maps were manually checked and evaluated (see Note S3 and Table S9 in Lyu et al., 2022 for details).

fagales

display_name: fagales

pinales

display_name: pinales

species-distribution-model

display_name: species-distribution-model

species-occurrence

display_name: species-occurrence

species-range-map

display_name: species-range-map

species-richness

display_name: species-richness

en: Species distribution maps of Fagales and Pinales (GDPlants)


en: snow subalpine meteorological-data runoff alptal first-order-catchment

en: Daily runoff data from three steep torrents in the Alptal (1968-2019)

media_type: XLSX

en: Runoff, water temperature and electrical conductivity have been measured since 1968 at the outlet of three torrential catchments (with an area of approximately 1 km2 each) located in the Alptal valley: Erlenbach, Lümpenenbach and Vogelbach. This data set provides daily mean values; data at 10-min resolution can be provided on request for the period 1984-2020 (contact: alptal@wsl.ch).

en: Manual snow measurements Alptal (1968-2020)

en:
Snow depth, snow density and snow water equivalent have been measured since winter 1968/69 along more than 15 transects distributed across the Alptal valley representing different altitudes, aspects and land use (closed forest and open meadows). Length of the snow courses: 20 to 30 m. The measurement interval has been weekly to monthly.
More details about the locations and methods can be found in Stähli, M.; Gustafsson, D., (2006). Long-term investigations of the snow cover in a subalpine semi-forested catchment. Hydrological Processes, 20, 411-428. doi: 10.1002/hyp.6058.

en: Daily meteorological and snow data (1968-2019) Alptal

en:
Air temperature, dew point temperature, relative humidity, wind speed, precipitation and global radiation have been measured (since 1981) on a meadow (Erlenhöhe) in the Erlenbach catchment. It is located at 1'220 m a.s.l. with an exposure towards west. In order to assess the spatial variability of precipiation, two additional rain gauges have been running in the Vogelbach and Lümpenenbach catchment, respectively.
For the period before 1981, meteorological variables have been extrapolated from the nearby MeteoSwiss station Einsiedeln (ca. 15 km north) to the WSL station Erlenhöhe using a linear correction factor for air temperature, wind speed and precipitation.
Snow depth has been recorded automatically since 2003.

en:
This data set includes 52 years of hydrometeorological measurements from small (first-order) catchments in the pre-alpine valley Alptal. Here we provide daily mean values; values in sub-daily resolution can be provided on demand.
Runoff has been measured at the outlet of three small (first-order) catchments of approximately 1 km2 area: Erlenbach (two independent runoff measurements), Vogelbach and Lümpenenbach. The catchments are similar with regard to geology (Flysch) and soil conditions (clay soils), but differ in forest coverage (20 to 60%). A detailed description of the catchments can be found at https://www.wsl.ch/alptal .
Runoff in these small catchments is typically very dynamic and can temporally carry large amounts of sediment and large wood. Thus, the accuracy of the measurements at very large flow is limited.
Meteorological variables have been measured on a meadow (Erlenhöhe) located in the Erlenbach catchment at 1220 m a.s.l. using a standard meteorological station (incl. ventilated air temperature and heated rain gauges). In addition, precipitation has also been recorded at two other locations (in the Vogelbach and Lümpenenbach catchments).
Snow measurements have been conducted weekly to monthly since 1968 at more than 15 locations (30-m transects) representing different altitudes, aspects and land uses (meadow, forest). In addition, snow depth has been recorded continuously since 2003 at Erlenhöhe, and for this location we also include a simulation of snow depth and SWE (using the numerical model COUP) that assimilates the manual weekly snow-course measurements. Details on these snow measurements can be found in Stähli, M. and Gustafsson, D. 2006. Hydrol. Proc., 20, 411-428. doi: 10.1002/hyp.6058.

Further information on the methods and sensors can be found at https://www.wsl.ch/alptal .

A first version of this data set (for the period 1968-2017) was uploaded in June 2018 at the occasion of the 50-year anniversary. This original data set was updated in February 2021 (with data from 2018 and 2019), and this data set was used for a longterm trend analysis, submitted for publication in a special issue of Hydrological Processes.

alptal

display_name: alptal

first-order-catchment

display_name: first-order-catchment

meteorological-data

display_name: meteorological-data

runoff

display_name: runoff

snow

display_name: snow

subalpine

display_name: subalpine

education

en: Education and science

envidat

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

en: Longterm hydrological observatory Alptal (central Switzerland)


snow-depth-mapping

maintainer: Mauro Marty

title_for_slug: snow-depth-mapping

en: snow-water-equivalent aerial-imagery dsm avalanche snow-hydrology image-matching snow-depth

en: Snow depth map 20100416

media_type: image/tiff

en: Snow depth map generated from ADS 80 imagery (CIR). GSD of imagery = 0.25 m

format: TIFF

mimetype: image/tiff

en: Snow depth map 20160126

en:
Snow depth map generated from ADS 100 imagery (CIR). GSD of imagery = 0.16 m
Because of very diffuse light conditions at time of image acquisition the quality of the resulting snow depth values are in some regions quite poor.

en: Snow depth map 20160420

en: Snow depth map 20120320

en: Snow depth map 20150415

en: Snow depth map 20160309

en: Snow depth map 20140417

en: Snow depth map generated from ADS 100 imagery (CIR). GSD of imagery = 0.18 m

en: Snow depth map 20130415

en:
The available datasets are snow depth maps with a spatial resolution of 2m generated from image matching of ADS 80/100 data. Image acquisition took place at peak of winter (time when the thickest snowpack is expected). The snow depth maps are the difference of a summer DSM from the winter DSM of the corresponding date . The summer DSM used is a product of image matching of ADS 80 data from summer 2013. In the available products buildings, vegetation and outliers were masked (set to NoData).
For the elimination of buildings the TLM layer (swisstopo) was used, because this layer might not represent exactly the
state of infrastructure at time of image acquisition, it is possible that mainly in dense settlement some buildings were not successfully masked. For the relevant area above treeline the masking of buildings showed good results. Vegetation got masked for a height above ground > 1m and was detected in a combination of summer and winter data sets. As Outliers were considered unrealistic snow depths caused by a failure of the image matching algorithm. Snow depths > 15m and smaller than < -15m were classified as outliers. Negative snow depth were kept, because of an uncertainty in image orientation accuracy. It is expected that in regions with negative snow depth also positive snow depth are underestimated by the same amount, which means that an estimation of snow volume should be carried out summing up the absolute values of snow depth (also the negative ones). For volume estimation in small regions the user has to take into account, that orientation accuracy of the images is roughly around 1-2 GSD (30cm), which propagates directly to the snow depth product. Areas which are not covered by snow got assigned a value of 0 as snow depth.

The work is published in:

Bühler, Y.; Marty, M.; Egli, L.; Veitinger, J.; Jonas, T.; Thee, P.; Ginzler, C., (2015). Snow depth mapping in high-alpine catchments using digital photogrammetry. Cryosphere, 9 (1), 229-243. doi: 10.5194/tc-9-229-2015

aerial-imagery

display_name: aerial-imagery

avalanche

display_name: avalanche

dsm

display_name: dsm

image-matching

display_name: image-matching

snow-depth

display_name: snow-depth

snow-hydrology

display_name: snow-hydrology

snow-water-equivalent

display_name: snow-water-equivalent

en: EnviDat: the Environmental Data Portal


maintainer: Robert Pazúr

en: vegetation-indices cropland remote-sensing sentinel-2 phenology grassland habitat agriculture switzerland machine-learning

en: (current version) Cropland and grassland map of Switzerland (v.1.5)

media_type: geotiff

format: GeoTIFF

en: (current version) Cropland, grassland, and shrubland map of Switzerland (v.1.5)

en: Mask of unsealed surfaces of Switzerland based on 3 years Sentinel-2 NDVI 95th percentile threshold value: 0.7 (v1.0)

media_type: TIFF

en: !!! Please check out the newer version in this repository !!! Assuming that sealed surfaces have little or no phenological response we calculated a mask of unsealed surfaces based on the 3 years (2017-2019) Sentinel-2 NDVI 95th percentile threshold value: 0.7.

en: (current version) Mask of unsealed surfaces of Switzerland based on 3 years Sentinel-2 NDVI 95th percentile threshold value: 0.7 (v1.5)

en: Cropland, grassland, and shrubland map of Switzerland (v1.0)

en: !!! Please check out the newer version in this repository !!! (1) cropland; (2) grassland; (3) shrubland; other LC classes are masked out from the map

en: (current version) Mask of unsealed surfaces of Switzerland based on 3 years Sentinel-2 NDVI 95th percentile threshold value: 0.6 (v1.5)

en: Assuming that sealed surfaces have little or no phenological response we calculated a mask of unsealed surfaces based on the 3 years (2017-2019) Sentinel-2 NDVI 95th percentile threshold value: 0.6.

en: Cropland and grassland map of Switzerland  (v.1.0)

en: !!! Please check out the newer version in this repository !!! (1) cropland; (2) grassland; other LC classes are masked out from the map

en: Mask of unsealed surfaces of Switzerland based on 3 years Sentinel-2 NDVI 95th percentile threshold value: 0.6  (v1.0)

en:
!!! Please check out the newer version in the repository !!!
Mask of unsealed surfaces of Switzerland based on 3 years (2017-2019) Sentinel-2 NDVI 95th percentile threshold value: 0.6

en: GEE (Google Earth Engine) script (JavaScript) to derived the output map  (v1.5)

media_type: JS

en: The code used in Google Earth Engine to derive the cropland, grassland and shrubland map of Switzerland. Compare to the previous version the newer version includes the shadow masking procedure which might be important in the mountainous areas.

en: GEE (Google Earth Engine) script (JavaScript) to derived the output map  (v1.0)

en: !!! Please check out the newer version in the repository !!! The code used in Google Earth Engine to derive the cropland, grassland and shrubland map of Switzerland

en: We developed a map of cropland and grassland allocation for Switzerland based on several indices dominantly derived from Sentinel-2 satellite imagery captured over multiple growing seasons. The classification model was trained based on parcel-based data derived from landholder reporting. The mapping was conducted on Google Earth Engine platform using random forest classifier. Areas of high vegetation, shrubland, sealed surface and non-vegetated areas were masked out from the country-wide map. The resulting map has high accuracy in lowlands as well as mountainous areas.

agriculture

display_name: agriculture

cropland

display_name: cropland

grassland

display_name: grassland

habitat

display_name: habitat

machine-learning

display_name: machine-learning

phenology

display_name: phenology

remote-sensing

display_name: remote-sensing

switzerland

display_name: switzerland

vegetation-indices

display_name: vegetation-indices

education

en: Education and science

en: Cropland and grassland map of Switzerland based on Sentinel-2 data


en: snow-profile snow gcos snow-water-equivalent snow-height

en: DATA ACCESS

media_type: CSV

en: STATION METADATA

en: Snowprofile from 11 observer sites in Switzerland compiled for the Global Climate Observing System (GCOS). Height of snow (cm) and snow water equivalent (mm) are recorded every 2 weeks since the 1947 (depending on station). Attached metadata file gives details of each station.

gcos

display_name: gcos

snow

display_name: snow

snow-height

display_name: snow-height

snow-profile

display_name: snow-profile

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: GCOS SWE data from 11 stations in Switzerland