schafe-verteilung-pro-gemeinde

title_for_slug: schafe-verteilung-pro-gemeinde

fr: cartes ovins animaux-de-rente commune

de: nutztiere schafe karten gemeinde

en: sheep maps municipality livestock

it: comune animale-da-reddito ovini mappe

identifier: sheep-map-commune

fr: Représentation géographique de la répartition des moutons enregistrés et vivants par commune et par limites des zones agricoles d'après classification OFAG: total, total par surface en kilomètre carré sans les étendues d'eau, total par 100 habitants, ainsi que les cinq races les plus populaires. Déplacez la "souris" sur la carte pour afficher les résultats.

de: Geografische Darstellung der Dichte von lebenden, registrierten Schafe pro Gemeinde und landwirtschaftlicher Zone gemäss Klassifikation BLW: Anzahl absolut, Anzahl pro Landfläche in km2 ohne Gewässer, Anzahl pro 100 Einwohner sowie die fünf beliebtesten Rassen. Bewegen Sie die «Maus» über die Karte, um die Ergebnisse anzuzeigen.

en: Map of the distribution of registered and living sheep by municipality and agricultural zones boundaries according to the FOAG classification: total, total by surface in km2 without waters, total by 100 inhabitants, and the five most popular breeds. Move the "mouse" over the map to display the results.

it: Rappresentazione geografica della distribuzione delle pecore registrati e vivi per comune e per limiti delle zone agricole secondo la classificazione UFAG: totale, totale per superficie in km2 senza acque, totale per 100 abitanti, e le cinque razze più popolari. Muovete il "mouse" sulla mappa per visualizzare i risultati.

cartes

display_name: cartes

commune

display_name: commune

comune

display_name: comune

gemeinde

display_name: gemeinde

karten

display_name: karten

mappe

display_name: mappe

maps

display_name: maps

municipality

display_name: municipality

identitas

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.

fr: Ovins - Répartition par commune

de: Schafe - Verteilung pro Gemeinde

en: Sheep - Distribution by municipality

it: Ovini - Distribuzione per comune


equiden-anteil-equiden-mit-passen

maintainer: Team Tierstatistik Identitas AG

title_for_slug: equiden-anteil-equiden-mit-passen

fr: animaux-de-rente animaux-de-compagnie passeports equides

de: passe nutztiere equiden heimtiere

en: equids livestock passports companion-animals

it: equidi animale-da-reddito animale-da-compagnia passaporti

label: Interactive plot

label: Glossary / Documentation

state: active

type: dataset

media_type: text/csv

format: CSV

identifier: equids-passports

fr: Pourcentage d'équidés équidés enregistrés et vivants, avec des passeports équins inscrits dans la BDTA en Suisse, au Liechtenstein et à l'étranger au fil du temps.

en: Percentage of registered alive equids with equine passports recorded on the AMD in Switzerland, Liechtenstein and abroad over time.

de: Prozentualer Anteil der registrierten, lebenden Equiden mit auf der TVD gemeldeten Equidenpässen in der Schweiz, Liechtenstein und im Ausland im Zeitverlauf.

it: Percentuale di equini equidi registrati e vivi con passaporti equini iscritti nella BDTA in Svizzera, nel Liechtenstein e all'estero nel tempo.

animale-da-compagnia

display_name: animale-da-compagnia

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

passaporti

display_name: passaporti

passe

display_name: passe

passeports

display_name: passeports

passports

display_name: passports

identitas

fr: Identitas AG

de: Identitas AG

en: Identitas AG

it: Identitas AG

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

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

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

political_level: other

type: organization

approval_status: approved

key: guid

key: uri

value: DCAT Harvester Identitas

fr: Équidés - Proportion d'équidés ayant un passeport

de: Equiden - Anteil Equiden mit Pässen

en: Equids - Proportion of equids holding a passport

it: Equidi - Percentuale di equidi con passaporto


fr: type-dutilisation animaux-de-rente evolution-de-la-population sexe mort-nes bovins

de: nutzungsarten populationsentwicklung nutztiere totgeburten geschlecht rinder

en: population-trends livestock sex type-of-use cattle stillbirths

it: parto-morto animale-da-reddito sesso evoluzione-della-popolazione bovini tipo-di-utilizzo

identifier: cattle-stillbirthsSexDamUsage

fr: Taux de mort-nés par nombre total de naissances (naissances vivantes plus mort-nés), par sexe et par type d'utilisation de la mère (vache laitière ou autre vache). Littérature.

de: Anteil der Totgeburten am Total aller Geburten (Lebendgeburten plus Totgeburten) nach Geschlecht und nach Nutzungsart der Mutter (Milchkuh oder andere Kuh); Literatur.

en: Rate of stillbirths by total number of births (live births plus stillbirths), by sex and by type of use of the dam (dairy cow or other cow). Literature.

it: Nati morti (tasso) per numero totale di nascite (Nati vivi più nati morti), per sesso e per tipo di utilizzo della madre (vacca da latte o altre vacche) e . Letteratura.

bovini

display_name: bovini

bovins

display_name: bovins

cattle

display_name: cattle

evolution-de-la-population

display_name: evolution-de-la-population

evoluzione-della-popolazione

display_name: evoluzione-della-popolazione

geschlecht

display_name: geschlecht

mort-nes

display_name: mort-nes

nutzungsarten

display_name: nutzungsarten

parto-morto

display_name: parto-morto

population-trends

display_name: population-trends

populationsentwicklung

display_name: populationsentwicklung

rinder

display_name: rinder

sesso

display_name: sesso

sex

display_name: sex

sexe

display_name: sexe

stillbirths

display_name: stillbirths

tipo-di-utilizzo

display_name: tipo-di-utilizzo

totgeburten

display_name: totgeburten

type-dutilisation

display_name: type-dutilisation

type-of-use

display_name: type-of-use

fr: Bovins - Mort-nés par type d'utilisation et sexe

de: Rinder - Totgeburten nach Nutzungsarten und Geschlecht

en: Cattle - Stillbirths by type of use and sex

it: Bovini - Parto morto per tipo di utilizzo et sesso


equiden-sommerungen-nach-kantonen

title_for_slug: equiden-sommerungen-nach-kantonen

fr: animaux-de-rente estivage equides canton

de: nutztiere equiden kanton sommerung

en: canton livestock equids summering

it: cantone equidi estivazione animale-da-reddito

identifier: equids-summering-canton

fr: Total des équidés enregistrés et vivants dans la région d'estivage par canton en Suisse et au Liechtenstein. La vue annuelle indique le nombre d'animaux au 25 juillet (OPD article 98).

en: Number of registered and living equids in the summering zone by canton in Switzerland and in Liechtenstein. The annual view shows the number of animals as of July 25 (DZV Artikel 98).

de: Bestand der registrierten, lebenden Equiden im Sömmerungsgebiet im Zeitverlauf nach Kantonen in der Schweiz und in Liechtenstein. Die Jahresansicht zeigt den Tierbestand zum 25. Juli (DZV Artikel 98).

it: Totale dei equidi vivi registrati nella regione d'estivazione per cantone in Svizzera e nel Liechtenstein. La vista annuale mostra il numero di animali al 25 luglio (OPD articolo 98).

animale-da-reddito

display_name: animale-da-reddito

animaux-de-rente

display_name: animaux-de-rente

canton

display_name: canton

cantone

display_name: cantone

equiden

display_name: equiden

equides

display_name: equides

equidi

display_name: equidi

equids

display_name: equids

estivage

display_name: estivage

estivazione

display_name: estivazione

kanton

display_name: kanton

livestock

display_name: livestock

nutztiere

display_name: nutztiere

sommerung

display_name: sommerung

summering

display_name: summering

fr: Équidés - Estivage par canton

en: Equids - Summering by canton

de: Equiden - Sömmerungen nach Kantonen

it: Equidi - Estivazione per cantone


elektrizitatsproduktionsanlagen

educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

en: Education, culture and sport

it: Istruzione, cultura e sport

ener

fr: Énergie

de: Energie

en: Energy

it: Energia

regi

fr: Régions et villes

de: Regionen und Städte

en: Regions and cities

it: Regioni e città

envi

fr: Environnement

de: Umwelt

en: Environment

it: Ambiente

title_for_slug: elektrizitatsproduktionsanlagen

label: geocat.ch permalink

protocol: WWW:DOWNLOAD:TEXT, comma separated (CSV)

de: Csv

protocol: WWW:DOWNLOAD:OGC Geopackage (GPKG)

de: Geopackage

format: GPKG

protocol: WWW:DOWNLOAD:INTERLIS 1 (ITF)

de: Interlis

format: INTERLIS

fr: Service WMS-IFDG, couche "Installations production électrique"

de: WMS-BGDI Dienst, Layer "Elektrizitätsproduktionsanlagen"

en: WMS-FSDI service, layer "Electricity production plants"

it: Servizio WMS-IFDG, strato "Impianti produzione elettrica"

format: WMS

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

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

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

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

de: Fachportal - map.energie.admin.ch

format: SERVICE

de: swisstopo REST API

format: API

fr: Une installation de production d’électricité est un dispositif technique destiné à produire de l’électricité. Il est dans l’intérêt de tous de disposer d’un aperçu géographique de l’ensemble des installations de production d’électricité de la Suisse. Le développement des installations produisant de l’électricité avec des énergies renouvelables doit notamment être présenté de manière transparente. Il importe aussi de montrer quelle est la proportion de ces installations par rapport à celles produisant de l’électricité avec des énergies non renouvelables. Cet aperçu doit permettre de faire la distinction entre l‘hydraulique, le photovoltaïque, l’éolien, la biomasse, la géothermie, l’énergie nucléaire, le pétrole, le gaz naturel et le charbon. Cette base de données comprend uniquement les installations de production d’électricité enregistrées dans le système suisse des garanties d’origine. Sont donc concernées d’une part les installations d’une puissance supérieure à 30 kilovoltampères (kVA) et les petites installations (à partir de 2 kilowatts (kW)) qui se sont enregistrées sur une base volontaire et d’autre part, les installations encouragées par une rétribution de l’injection, une rétribution unique, un financement des frais supplémentaires ou une contribution d’investissement (art. 19 et 24, LEne). Seules les installations de production d’électricité en service sont prises en compte.

de: Eine Elektrizitätsproduktionsanlage ist eine technische Einrichtung zur Erzeugung von Strom.Es ist von allgemeinem Interesse, eine räumliche Übersicht über sämtliche Elektrizitätsproduktionsanlagen der Schweiz zu haben. Insbesondere soll der Zubau an Produktionsanlagen, die Elektrizität aus erneuerbaren Energien produzieren, transparent dargestellt werden. Zudem kann das Verhältnis der Anlagen, die Elektrizität aus erneuerbaren Energien produzieren, zu den Anlagen, die Elektrizität aus nicht erneuerbaren Energien produzieren, sichtbar gemacht werden. Man unterscheidet zwischen Wasserkraft, Photovoltaik, Windenergie, Biomasse, Geothermie, Kernenergie, Erdöl, Erdgas und Kohle. Dieser Datenbestand enthält alle Elektrizitätsproduktionsanlagen, welche im Schweizerischen Herkunftsnachweissystem registriert sind. Darunter fallen zum einen alle Anlagen mit einer Leistung grösser 30 Kilovoltampere (kVA), sowie Kleinanlagen (grösser als 2 Kilowatt), welche freiwillig für die Ausstellung von Herkunftsnachweisen (HKN) registriert worden sind. Zum anderen enthält der Datenbestand Anlagen, die durch eine Einspeisevergütung, Einmalvergütung, Mehrkostenfinanzierung oder einen Investitionsbeitrag geförderten werden (gemäss Art. 19 und 24; EnG). Es sind nur Elektrizitätsproduktionsanlagen enthalten, welche in Betrieb sind.

en: An electricity production plant is a technical facility for generating electricity. It is in the public interest to have a spatial overview of all electricity production plants in Switzerland. In particular, the expansion of production plants that produce electricity from renewable energy should be presented transparently. The ratio of plants producing electricity from renewable energy to plants producing electricity from non-renewable energy can also be shown. A distinction is made between hydropower, photovoltaics, wind energy, biomass, geothermal energy, nuclear energy, oil, natural gas and coal. This database contains all electricity production plants that are registered in the Swiss proof of origin system and includes all plants with an output exceeding 30 kilovolt-amperes (kVA), as well as small plants (more than 2 kilowatts) that have been voluntarily registered to display proof of origin. The database also includes plants that are subsidised by a feed-in rate, a one-off payment, additional cost financing or an investment contribution (pursuant to Art. 19 and 24; EnA). Only electricity production plants that are in operation are included.

it: Un impianto di produzione di energia elettrica è un dispositivo tecnico per la produzione di energia elettrica. È di interesse generale avere una panoramica spaziale di tutti gli impianti di produzione di energia elettrica presenti in Svizzera. In particolare, l'espansione degli impianti di produzione che generano elettricità da fonti energetiche rinnovabili dovrebbe essere presentata in modo trasparente. Inoltre, è possibile rendere visibile il rapporto tra gli impianti che producono elettricità da fonti energetiche rinnovabili e quelli che producono elettricità da fonti energetiche non rinnovabili. Si distingue tra energia idroelettrica, fotovoltaica, eolica, biomassa, geotermica, nucleare, petrolio, gas naturale e carbone. Questo set di dati comprende tutti gli impianti di produzione di energia elettrica registrati nel sistema svizzero delle garanzie di origine. Da un lato, questo include tutti gli impianti con una capacità superiore a 30 kilovolt-ampere (kVA), così come i piccoli impianti (superiori a 2 kilowatt) che sono stati registrati a titolo volontario per il rilascio di garanzie di origine. Dall'altro lato, il set di dati include impianti che sono sovvenzionati tramite una rimunerazione per l'immissione di elettricità, un versamento unico, un finanziamento dei costi aggiuntivi o un contributo d'investimento (secondo gli art. 19 e 24; LEne). Sono inclusi solo gli impianti di produzione di elettricità che sono in funzione.

spatial: Schweiz

bundesamt-fur-energie-bfe

fr: Office fédéral de l'énergie OFEN

de: Bundesamt für Energie BFE

en: Swiss Federal Office of Energy SFOE

it: Ufficio federale dell'energia UFE

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

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

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

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

political_level: confederation

value: BFE - Geocat Harvester

fr: Installations de production d'électricité

de: Elektrizitätsproduktionsanlagen

en: Electricity production plants

it: Impianti di produzione di energia elettrica


maintainer: Sara Schärrer

title_for_slug: Tierseuchenmeldungen in der Schweiz

fr: animal veterinaire epizootie

de: tierseuche veterinarwesen tier

it: veterinario epizoozia animale

fr: Annonces des cas d‘épizootie (SPARQL)

de: Tierseuchenmeldungen (SPARQL)

en: Notifications of animal diseases (SPARQL)

it: Notifica delle epizoozie (SPARQL)

fr:
La base de données InfoSM (= système d'information sur les annonces d'épizooties) de l'OFAG contient des informations sur tous les foyers d'épizooties soumis à déclaration en Suisse depuis 1991. Ces données sont disponibles dans LINDAS sous forme de linked data.

L'exemple de recherche donne les 5 épizooties les plus fréquemment annoncées pour l'année en cours.

Pour pouvoir interpréter correctement les données, il faut considérer la stratégie de surveillance pour chaque épizootie au moment de l'annonce du cas. N'hésitez pas à nous contacter si vous avez des questions.

en:
The FSVO database InfoSM (= Information System for Disease Notifications) contains information on all outbreaks of notifiable animal diseases in Switzerland since 1991. These are available in LINDAS as linked data.

The sample query results in the 5 most frequently reported animal diseases of the current year.

In order to interpret the data correctly, the surveillance strategy for the individual epizootics at the time of the case report must be considerated. If you have any questions, please contact us at any time.

de:
Die Datenbank InfoSM (= Informationssystem Seuchenmeldungen) des BLV enthält Angaben zu sämtlichen Ausbrüchen meldepflichtiger Tierseuchen in der Schweiz seit 1991. Diese sind in LINDAS als linked data verfügbar.

Die Beispielabfrage ergibt die 5 am häufigsten gemeldeten Tierseuchen des laufenden Jahres.

Um die Daten korrekt interpretieren zu können, muss die Überwachungsstrategie für die einzelnen Tierseuchen zum Zeitpunkt der Fallmeldung einbezogen werden. Bei Fragen können Sie uns jederzeit Kontaktieren.

it:
La banca dati dell'UFV InfoSM (= Sistema d'informazione per le notifiche delle malattie) contiene informazioni su tutti i focolai di epizoozie presenti soggette a obbligo di notifica in Svizzera dal 1991. I dati sono disponibili in LINDAS come linked data.

L'interrogazione a campione dà come risultato le 5 epizoozie più frequentemente segnalate nell'anno in corso.

Per interpretare correttamente i dati, è necessario includere la strategia di sorveglianza per le singole malattie animali al momento della segnalazione del caso. Contattateci per qualsiasi domanda.

format: SPARQL

fr: Annonces des cas d‘épizootie (CSV)

de: Tierseuchenmeldungen (CSV)

en: Notifications of animal diseases (CSV)

it: Notifica delle epizoozie (CSV)

fr: Cas de Bluetongue en Suisse 2024

de: Bluetonguefälle in der Schweiz 2024

en: Cases of bluetonuge in Switzerland 2024

it: Casi di Bluetongue in Svizzera 2024

fr: La maladie de la langue bleue est une pathologie virale non contagieuse touchant les ruminants et les camélidés ; elle se transmet par des insectes piqueurs (vecteurs). Elle n’est pas dangereuse pour l’homme.

de: Die Blauzungenkrankheit (Bluetongue BT) ist eine nicht ansteckende Viruserkrankung der Wiederkäuer und Kameliden, die durch stechende Insekten (Vektoren) übertragen wird. Für den Menschen ist die Krankheit nicht gefährlich.

it: La febbre catarrale (Bluetongue, BT) è una malattia virale non contagiosa che colpisce i ruminanti e i camelidi e viene trasmessa tramite insetti pungitori (vettori). Non costituisce un pericolo per l’essere umano.

fr:
La banque de données InfoSM (= système d’information sur les annonces des cas d‘épizootie) de l’OSAV contient des informations sur tous les foyers d’épizooties soumises à l’annonce obligatoire recensés depuis 1991.
Pour pouvoir interpréter correctement les données, il faut intégrer la stratégie de surveillance pour chaque épizootie au moment de la déclaration du cas. N'hésitez pas à nous contacter si vous avez des questions.

Le Bulletin de l'Office fédéral de la sécurité alimentaire et des affaires vétérinaires – appelé aussi bulletin tout court – est le journal où sont publiés, à un intervalle régulier de 7 jours, les derniers cas d’épizooties.

Par « obligation d'annoncer » (ordonnance sur les épizooties art. 61) on entend l'obligation pour toute personne qui détient, assume la garde ou soigne des animaux d'annoncer sans délai à un vétérinaire l'apparition d'une épizootie (loi sur les épizooties, art. 1) et tout symptôme suspect pouvant en faire craindre l’éclosion. Les épizooties des abeilles, des poissons et des animaux sauvages vivant dans la nature doivent elles aussi être annoncées, respectivement à l'inspecteur des ruchers, à l'autorité cantonale compétente pour la pêche, au service vétérinaire cantonal.

de:
Die Datenbank InfoSM (= Informationssystem Seuchenmeldungen) des BLV enthält Angaben zu sämtlichen Ausbrüchen meldepflichtiger Tierseuchen in der Schweiz seit 1991.
Um die Daten korrekt interpretieren zu können, muss die Überwachungsstrategie für die einzelnen Tierseuchen zum Zeitpunkt der Fallmeldung einbezogen werden. Bei Fragen können Sie uns jederzeit Kontaktieren.

Die Mitteilungen des Bundesamtes für Lebensmittelsicherheit und Veterinärwesen – kurz Bulletin – publizieren wöchentlich die aktuellen Seuchenmeldungen.

Die Meldepflicht (Tierseuchenverordnung Art. 61) verpflichtet alle Personen, die Tiere halten, betreuen oder behandeln dazu, Ausbrüche von Tierseuchen (Tierseuchengesetz Art. 1) oder verdächtige Beobachtungen einer Tierärztin oder einem Tierarzt zu melden. Die Meldepflicht gilt auch für Bienen, Fische und freilebende Wildtiere. Meldestellen sind der Bieneninspektor, die für die Fischerei zuständige kantonale Stelle resp. das kantonale Veterinäramt.

it:
La banca dati InfoSM (Sistema d’informazione di notifica delle epizoozie) dell’USAV è uno strumento per la consultazione di dati concernenti tutti i focolai delle epizoozie presenti in Svizzera e soggette all’obbligo di notifica dal 1991.
 Per interpretare correttamente i dati, è necessario includere la strategia di sorveglianza per le singole epizoozie al momento della segnalazione del caso. ontattateci per qualsiasi domanda.

Il Bollettino dell’USAV pubblica le attuali notifiche di epizoozie a scadenza settimanale.

In base all'obbligo di notifica (art. 61 dell'ordinanza sulle epizoozie), chi detiene, custodisce o cura animali ha l'obbligo di notificare a un veterinario la comparsa di un'epizoozia (art. 1 della legge sulle epizoozie) e qualsiasi fatto sospetto. L'obbligo di notifica vige anche per api, pesci e animali selvatici in libertà. La notifica può essere effettuata presso l'ispettore degli apiari, l'organo cantonale competente per i pesci o l'Ufficio veterinario cantonale.

animal

display_name: animal

animale

display_name: animale

epizootie

display_name: epizootie

epizoozia

display_name: epizoozia

tier

display_name: tier

tierseuche

display_name: tierseuche

veterinaire

display_name: veterinaire

veterinario

display_name: veterinario

veterinarwesen

display_name: veterinarwesen

fr: Annonces des cas d‘épizootie en Suisse

de: Tierseuchenmeldungen in der Schweiz

en: Notifications of epizootics in Switzerland

it: Notificie delle epizoozie in Svizzera

heal

fr: Santé

de: Gesundheit

en: Health

it: Salute

agri

fr: Agriculture, pêche, sylviculture et alimentation

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

en: Agriculture, fisheries, forestry and food

it: Agricoltura, pesca, silvicoltura e prodotti alimentari

fr: Office fédéral de la sécurité alimentaire et des affaires vétérinaires OSAV

de: Bundesamt für Lebensmittelsicherheit und Veterinärwesen BLV

en: Federal Food Safety and Veterinary Office FSVO

it: Ufficio federale della sicurezza alimentare e di veterinaria USAV

fr: L’OSAV a pour principale mission de promouvoir activement la santé et le bien-être de l’homme et de l’animal. Son action repose essentiellement sur la sécurité des aliments et une alimentation saine, pour l’homme, et sur la protection et la santé des animaux.

en: The main task of the FSVO is to actively promote the health and well-being of humans and animals. The central pillars of this approach are food safety and healthy eating for humans, and animal health and welfare for animals.

de: Hauptaufgabe des BLV ist es, die Gesundheit und das Wohlbefinden von Mensch und Tier aktiv zu fördern. Die Hauptpfeiler dafür sind beim Menschen Lebensmittelsicherheit und gesunde Ernährung und beim Tier Tierschutz und Tiergesundheit.

it: Il compito principale dell’USAV consiste nel promuovere attivamente la salute e il benessere dell’essere umano e degli animali. Per l’uomo il focus è posto soprattutto sulla sicurezza alimentare e su un’alimentazione sana, mentre per gli animali sulla loro protezione e salute.


educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

en: Education, culture and sport

it: Istruzione, cultura e sport

ener

fr: Énergie

de: Energie

en: Energy

it: Energia

regi

fr: Régions et villes

de: Regionen und Städte

en: Regions and cities

it: Regioni e città

envi

fr: Environnement

de: Umwelt

it: Ambiente

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

fr: WMS-Dienst des Kanton Uri

de: WMS-Dienst des Kanton Uri

en: WMS-Dienst des Kanton Uri

it: WMS-Dienst des Kanton Uri

fr: WFS-Dienst des Kanton Uri

de: WFS-Dienst des Kanton Uri

en: WFS-Dienst des Kanton Uri

it: WFS-Dienst des Kanton Uri

format: WFS

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

spatial: Canton of Uri (UR)

geoinformation-kanton-uri

de: Lisag AG, Geoinformation Kanton Uri

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

political_level: canton

kanton-uri

capacity: public

value: Uri-Kt - Geocat Harvester

fr: Stromversorgungssicherheit: Netzebene 3 (UR)


envi

en: Environment

fr: Stand der Umsetzung der Agglomerationsprogramm Massnahmen.

fr: Agglomerationsprogramm Umsetzung

de: Agglomerationsprogramm Umsetzung

en: Agglomerationsprogramm Umsetzung

it: Agglomerationsprogramm Umsetzung


waldabstandslinien-projektiert-ur

title_for_slug: waldabstandslinien-projektiert-ur

de: waldabstand baulinie geobasisdaten

fr: Mit Waldabstandslinien wird im Nutzungsplan der Waldabstand gegenüber der festgelegten Waldgrenze, in Abweichung zum generellen Waldabstand von 20 Metern gemäss Artikel 93 Absatz 1 des Planungs- und Baugesetzes (PBG; RB 40.1111), festgelegt. Sie entsprechen einer Baulinie Wald gemäss Artikel 48 Absatz 2 PBG.

fr: Waldabstandslinien projektiert (UR)

de: Waldabstandslinien projektiert (UR)

en: Waldabstandslinien projektiert (UR)

it: Waldabstandslinien projektiert (UR)


gemeindestrassen

tran

fr: Transports

de: Verkehr

en: Transport

it: Trasporti

title_for_slug: gemeindestrassen

fr: Strassen unter Zuständigkeit der Gemeinden (inklusive Klassierung und Belagsarten)

fr: Gemeindestrassen

de: Gemeindestrassen

en: Gemeindestrassen

it: Gemeindestrassen


url: https://geo.ur.ch/?layers=Kantonale Erhebungen der Luftbelastung (Messnetze)

fr: Der Datensatz beinhaltet die Standorte der Messstationen der kantonalen Messnetze.

fr: Kantonale Erhebungen der Luftbelastung (Messnetze) (UR)


landwirtschaftlicher-naturschutz

title_for_slug: landwirtschaftlicher-naturschutz

fr: Der Datensatz bildet Flächen ab, die sich innerhalb von Schutzobjekten von lokaler, regionaler oder nationaler Bedeutung nach dem Gesetz über den Natur- und Heimatschutz (RB 10.5101) befinden . Die Flächen werden durch die Abteilung Natur und Landschaft des Amt für Raumentwicklung beurteilt. Als Kriterien gelten dabei insbesondere: • die Grösse des Objekts; • die Qualität des Objekts (Seltenheit des Lebensraums und der darin vorkommenden Tier- und Pflanzenarten); • die Funktion des Lebensraums (z.B. Verbindungsfunktion zwischen mehreren schützenswerten Flächen, Pufferzonen von Naturschutzgebieten, Lebensraum für seltene Tierarten); • die Vielfältigkeit des Lebensraums. Die Beiträge für den landwirtschaftlichen Naturschutz sind in der Verordnung über Beiträge für den landwirtschaftlichen Naturschutz (BLNV; RB 10.5105) und dem Reglement zur Verordnung über Beiträge für den landwirtschaftlichen Naturschutz (BLNR; RB 10.5106) geregelt.

fr: Landwirtschaftlicher Naturschutz

de: Landwirtschaftlicher Naturschutz

en: Landwirtschaftlicher Naturschutz

it: Landwirtschaftlicher Naturschutz


educ

fr: Éducation, culture et sport

ener

fr: Énergie

regi

fr: Régions et villes

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

fr: Stromversorgungssicherheit: Netzebene 5 (UR)


agri

fr: Agriculture, pêche, sylviculture et alimentation

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

envi

fr: Environnement

fr: WMS-Dienst des Kanton Uri

fr: WFS-Dienst des Kanton Uri

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

fr: Baumkataster

de: Baumkataster

en: Baumkataster

it: Baumkataster


lawinenkataster

title_for_slug: lawinenkataster

fr: Im Lawinenkataster des Kantons Uri werden die bekannten Lawinen und deren Ausmass kartiert. Naturgemäss sind in unbesiedelten Gebieten weniger Lawinen kartiert. In diesen Gebieten sind nur Lawinen erfasst, welche Schäden verursachten oder zufällig durch Personen beobachtet und gemeldet wurden. Des Weiteren gilt es zu beachten, dass zahlreiche Lawinenanrissgebiete verbaut wurden und somit diese Lawinen nicht mehr ihr ursprüngliches Ausmass erreichen können.

fr: Lawinenkataster

de: Lawinenkataster

en: Lawinenkataster

it: Lawinenkataster


wasser-leitungen-offentlich

educ

de: Bildung, Kultur und Sport

ener

de: Energie

title_for_slug: wasser-leitungen-offentlich

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

fr: Wasser Leitungen öffentlich

de: Wasser Leitungen öffentlich

en: Wasser Leitungen öffentlich

it: Wasser Leitungen öffentlich


abwasseranlagen-darstellung-nutzungsart

regi

de: Regionen und Städte

envi

de: Umwelt

title_for_slug: abwasseranlagen-darstellung-nutzungsart

de: leitungskataster geobasisdaten

en: pipeline-cadastre official-geodata

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

de: WMS-Dienst des Kanton Uri

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

fr: Abwasseranlagen Darstellung Nutzungsart

de: Abwasseranlagen Darstellung Nutzungsart

en: Abwasseranlagen Darstellung Nutzungsart

it: Abwasseranlagen Darstellung Nutzungsart


fernwarme-leitungen

title_for_slug: fernwarme-leitungen

de: WFS-Dienst des Kanton Uri

fr: Fernwärme Trasse und Leitungspunkt.

de: Fernwärme Trasse und Leitungspunkt.

en: Fernwärme Trasse und Leitungspunkt.

it: Fernwärme Trasse und Leitungspunkt.

geoinformation-kanton-uri

de: Lisag AG, Geoinformation Kanton Uri

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

fr: Fernwärme Leitungen

de: Fernwärme Leitungen

en: Fernwärme Leitungen

it: Fernwärme Leitungen


elektro-leitungen

educ

fr: Éducation, culture et sport

en: Education, culture and sport

it: Istruzione, cultura e sport

ener

fr: Énergie

en: Energy

it: Energia

title_for_slug: elektro-leitungen

fr: Elektro Trasse, Bauwerke und Trassepunkte.

fr: Elektro Leitungen

de: Elektro Leitungen

en: Elektro Leitungen

it: Elektro Leitungen


versickerung

regi

fr: Régions et villes

en: Regions and cities

it: Regioni e città

envi

fr: Environnement

it: Ambiente

title_for_slug: versickerung

en: WMS-Dienst des Kanton Uri

it: WMS-Dienst des Kanton Uri

en: WFS-Dienst des Kanton Uri

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

fr: Versickerung

de: Versickerung

en: Versickerung

it: Versickerung


wasserrechte

envi

en: Environment

title_for_slug: wasserrechte

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

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

fr: Öffentliche Oberflächengewässer, Gewässerraum und Wasserrechte

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

spatial: Kanton Zürich

geoinformation-kanton-zuerich

fr: Département de Géoinformation du Canton de Zurich

de: Geoinformation Kanton Zürich

en: Department of Geoinformation of the Canton of Zurich

it: Dipartimento della geoinformazione del Cantone di Zurigo

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

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

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

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

value: ZH - Geocat Harvester

fr: Wasserrechte

de: Wasserrechte

en: Wasserrechte

it: Wasserrechte


abfallanlagen-und-sammelstellen

educ

de: Bildung, Kultur und Sport

ener

de: Energie

title_for_slug: abfallanlagen-und-sammelstellen

de: abfall-sammelstelle abfallanlage

fr: Map (Preview)

de: Map (Preview) Stadtplan

en: Map (Preview)

it: Map (Preview)

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

de: WMS Abfallsammelstellen

de: Web Map Services WMS

de: WFS Abfallsammelstellen

de: Web Feature Services WFS

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

spatial: Stadt Bern

geoinformation-der-stadt-bern

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

de: Geoinformation Stadt Bern

en: The Land Surveying Office of the City of Bern

it: L'ufficio del catasto nella Città di Berna

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

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

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

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

political_level: commune

value: Geoinformation Stadt Bern - Geocat Harvester

de: Abfallanlagen und Sammelstellen


okoinfomobil

educ

fr: Éducation, culture et sport

regi

de: Regionen und Städte

envi

de: Umwelt

title_for_slug: okoinfomobil

de: oekomobil okomobil

de: WMS OekoInfoMobil

de: WFS OekoInfoMobil

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

de: ÖkoInfoMobil


agri

fr: Agriculture, pêche, sylviculture et alimentation

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

en: Agriculture, fisheries, forestry and food

it: Agricoltura, pesca, silvicoltura e prodotti alimentari

de: AGIS Direktdownload

de: Die Polygone zeigen die 1 km-Umkreise um die Fundorte der invasiven Asiatischen Hornisse im Kanton Aargau.

de: AGIS Service Center Kanton Aargau

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

value: Aargau-Kt - Geocat Harvester

de: Asiatische Hornisse 1km Puffer


asiatische-hornisse-ag

title_for_slug: asiatische-hornisse-ag

de: Der Datensatz zeigt eine Übersicht der Funde der invasiven Asiatischen Hornisse im Kanton Aargau. Es sind sowohl Einzelfunde als auch die Standorte der gefundenen Nester aufgeführt.

de: Asiatische Hornisse AG


tigermucke

title_for_slug: tigermucke

de: Fang- oder Sichtungsstellen der Asiatischen Tigermücke.

de: Tigermücke


tigermucken-bekampfungszone

regi

de: Regionen und Städte

title_for_slug: tigermucken-bekampfungszone

de: Tigermücken Bekämpfungszone


envi

de: Umwelt

label: Link zum Fachportal

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

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

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

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

fr: Aperçu map.geo.admin.ch

de: Vorschau map.geo.admin.ch

en: Preview map.geo.admin.ch

it: Previsione map.geo.admin.ch

fr: Service WMS-IFDG, couche "Exutoires des bassins versants"

de: WMS-BGDI Dienst, Layer "Gebietsauslässe"

en: WMS-FSDI service, layer "Area outlets"

it: Servizio WMS-IFDG, strato "Sbocchi dei bacini imbriferi"

fr: Service WMTS-IFDG, couche , Layer "Exutoires des bassins versants"

de: WMTS-BGDI Dienst, Layer "Gebietsauslässe"

en: WMTS-FSDI service, layer "Area outlets"

it: Servizio WMTS-IFDG, strato "Sbocchi dei bacini imbriferi"

format: WMTS

de: Link zum Datenbezug

format: HTML

fr: RESTful API de geo.admin.ch

de: RESTful API von geo.admin.ch

en: RESTful API from geo.admin.ch

it: RESTful API da geo.admin.ch

fr: La série de données "Exutoires des bassins versants" fait partie de la série de géodonnées "Bassins versants topographiques des eaux suisses". Elle est constituée des objets ponctuels qui constituent les exutoires des quelque 22 000 bassins versants complets possibles.

de: Der Datensatz ‹Gebietsauslässe› ist Teil des Geobasisdatensatzes ‹Topographische Einzugsgebiete Schweizer Gewässer›. Er besteht aus Punktobjekten, die die Gebietsauslässe der rund 22'000 möglichen Gesamteinzugsgebiete darstellen.

en: The "Area outlets" data set is part of the "Topographical catchment areas of Swiss waterbodies" geodata set. It consists of point objects that represent the area outlets for a possible total of some 22,000 combined catchment areas.

it: Il record di dati «Sbocchi dei bacini imbriferi» è un elemento del record di geodati di base «Bacini imbriferi topografici dei corsi d’acqua svizzeri». Consiste in punti che rappresentano gli sbocchi dei bacini imbriferi dei circa 22 000 bacini imbriferi completi possibili.

name: Bundesamt für Umwelt / Abteilung Hydrologie

bundesamt-fur-umwelt-bafu

fr: Office fédéral de l'environnement OFEV

de: Bundesamt für Umwelt BAFU

en: Federal Office for the Environment FOEN

it: Ufficio federale dell'ambiente UFAM

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

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

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

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

value: BAFU - Geocat Harvester

fr: Bassins versants topographiques des eaux suisses: Exutoires

de: Topographische Einzugsgebiete Schweizer Gewässer: Gebietsauslässe

en: Topographical catchment areas of Swiss waterbodies: Area outlets

it: Bacini imbriferi topografici dei corsi d’acqua svizzeri: Sbocchi


en: flood estimation-methods decision-making hydrology engineering

media_type: application/pdf

format: PDF

en:
(English version below)
Ziel dieser Faktenblätter ist es Informationen zu den Schätzmethoden, Hinweise zur Parametrisierung und eine grobe Einschätzung der Güte der Resultate in übersichtlicher Form bereitzustellen. Ein zeitaufwändiges Zusammensuchen dieser Informationen aus unterschiedlichen Quellen entfällt daher weitgehend. Die Bearbeitenden sollen damit in der Lage sein, sich innerhalb weniger Minuten die wichtigsten Hintergrundinformationen zu jeder der vorgestellten Methoden in Erinnerung zu rufen. Der Leitfaden unterstützt bei der Plausibilisierung und bei der Mittelung der Ergebnisse der einzelnen Schätzmethoden zu einem repräsentativen Endergebnis. Vorausgesetzt wird Grundwissen und Erfahrung in der Thematik.
Der Leitfaden führt die Fachperson anhand eines Entscheidungsbaums in acht Schritten durch den Arbeitsablauf und unterstützt mit einem Fragenkatalog bei der Plausibilisierung der Ergebnisse.
Auf den Faktenblättern sind für jede Schätzmethode alle relevanten Informationen stichwortartig und grafisch übersichtlich auf einer DIN-A4 Seite zusammengefasst. Jedes Faktenblatt ist einheitlich gegliedert.
The aim of these fact sheets is to provide information on the flood estimation methods, notes on their parameterization and a rough assessment of the quality of the results in a clear form. A time-consuming research for this information from different sources is therefore largely eliminated. The users should be able to recall the most important background information on each of the methods presented within a few minutes. The guide provides support in checking plausibility and averaging the results of the individual estimation methods to produce a representative final result. Basic knowledge and experience in the subject are assumed.
The guide leads the expert through the workflow in eight steps using a decision tree and supports the plausibility check of the results with a list of questions.
On the fact sheets, all relevant information for each estimation method is summarized with key words and graphics on one DIN A4 page. Each fact sheet has a standardized structure.

decision-making

display_name: decision-making

engineering

display_name: engineering

estimation-methods

display_name: estimation-methods

flood

display_name: flood

hydrology

display_name: hydrology

educ

de: Bildung, Kultur und Sport

en: Education, culture and sport

it: Istruzione, cultura e sport

envidat

fr: EnviDat: le portail de données environnementales

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

it: EnviDat: il portale dei dati ambientali

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

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

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

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

value: Envidat Harvester

en: Faktenblätter und Leitfaden für Hochwasserschätzmethoden in der Praxis


en: clm5 oshd high-resolution forest-productivity land-use land-cover snow snow-simulation evapotranspiration

media_type: application/zip

en: Point-scale CLM5 simulation output of snow depth and snow water equivalent for 9 different simulation scenarios, each performed at 36 snow station locations across Switzerland. Please have a look at table A1 in the appendix of the linked publication for coordinates of the stations. Additional information on the setup, and the differences between simulation setups can also be found in the linked publication.

format: ZIP

en:
12 gridded CLM5 simulations over the spatial extent of Switzerland:
- 1km, 0.25deg, 0.5deg
- 3 different meteorological forcings (Clim_CRU, CLIM_CRU*, CLIM_OSHD)
- 2 different land use forcings
each with the following outputs:
- daily snow depth (file SNOW_DEPTH.nc)
- monthly summed gross primary production (file FPSN_MONTH_SUM.nc)
- monthly summed evapotranspiration (file QFLX_EVAP_TOT_MONTH_SUM.nc).
Temporal extent of all simulations: 01/01/2015 - 31/12/2020.

en: Forcing land surface datasets used for the CLM5 simulations at 1km, 0.25° and 0.5° resolution. For the 1km resolution both the standard global (LU_Gl) and the high-resolution dataset (LU_HR) are provided.

en:
This dataset contains Community Land Model 5 (CLM5) simulation output over the spatial extent of Switzerland at different resolutions and based on a range of input datasets. It further contains land-use surface data used for the CLM5-simulations.

**Detailed description of the CLM5 simulation setup and the various input datasets can be found in the accompanying publication: https://doi.org/10.5194/egusphere-2023-1832.**

 CLM5 simulation output

This dataset includes gridded CLM5 simulations of snow depth, gross primary productivity (GPP) and evapotranspiration at different resolutions ( 1km, 0.25° and 0.5°) and based on a range of input datasets over the spatial extent of Switzerland (see folder *gridded_CLM5_simulations*). Additionally, point-scale CLM5 simulations of snow depth and snow-water-equivalent at 36 snow-station locations (see folder *point_scale_CLM5_simulations*) are included. Latitude, longitude and elevation for these station locations can be found in table A1 of the above-mentioned publication. All simulation output spans from 01/01/2015 - 31/12/2019.

Included CLM5 simulation results are based on 3 different meteorological forcing datasets:
* Clim_CRU: standard global dataset, we used the recent state-of-the-art standrd global dataset CRU-JRA (https://catalogue.ceda.ac.uk/uuid/aed8e269513f446fb1b5d2512bb387ad)

* Clim_CRU*: ClimCRU upraded by downscaling temperature data using a temperature lapse rate of -6.5K/1000m and a high-resolution DEM

* Clim_OSHD: highest level of detail, meteorological forcing generated according to methods developed by the Operational Snow Hydrological Service (OSHD), at 1km spatial and 1hour temporal resolution</li>

 Land-use surface data

This dataset further includes forcing land surface datasets used for the CLM5 simulations at 1km, 0.25° and 0.5° resolution (see folder *surface_landuse_datasets*). For the 1km resolution both the standard global (LU_Gl) and the high-resolution dataset (LU_HR), which includes a higher level of detail and is based on a more up-to-date land use datase, are provided. More details on these two datasets can be found in the above-mentioned publication.

evapotranspiration

display_name: evapotranspiration

forest-productivity

display_name: forest-productivity

high-resolution

display_name: high-resolution

land-cover

display_name: land-cover

land-use

display_name: land-use

oshd

display_name: oshd

snow

display_name: snow

snow-simulation

display_name: snow-simulation

en: Multi-resolution CLM5 simulations across Switzerland


maintainer: EnviDat Support

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

en: Data plot of the forest station (SCB)

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

en: Site photo of the field station (SCF)

en: Site photo of the field station from above (viewing downwards the slope).

en: Further details on the data repository

en: Meta data documentation.

en: Site photo of the forest station (SCB)

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

en: Field station data (SCF)

en: Data file.

mimetype: text/csv

en: Forest station data (SCB)

en: Data plot of the field station (SCF)

en: Site aerial photo (Schänis)

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

en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for two meteorological stations in Schänis in Switzerland where one station is located within a natural mixed forest stand (SCB) with European beech (_Fagus sylvatica_; 130-150 yrs), European silver fir (_Abies alba_; 130-150 yrs) and European ash (_Fraxinus excelsior_; 130-150 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, SCF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Schänis is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed

en: Schänis, Switzerland: Long-term forest meteorological data from the Long-term Forest Ecosystem Research Programme (LWF), from 1998 onwards


en: ice-layers water-front snow-stratigraphy snow-temperature weissfluhjoch snowmicropen

en: README

media_type: text/plain

format: TXT

mimetype: text/plain

en: WFJ_ICE_LAYERS dataset

mimetype: application/zip

en: The WFJ_ICE_LAYERS dataset contains multi-instrument snowpack measurements at high temporal resolution, which enable to monitor the formation of deep ice layers due to preferential water flow, at the Weissfluhjoch research site, Davos, Switzerland. It covers the winter 2016/2017, with a focus on the early melting season. This dataset includes traditional snowpack profiles (weekly resolution, 15/11/2016-29/05/2017), SnowMicroPen penetration resistance profiles (daily resolution, 01/02/2017-19/04/2017), snow temperatures measured at different heights in the snowpack (half-hourly resolution, 01/03/2017-15/04/2017) and the water front height derived from an upward-looking ground penetrating radar (3-hour resolution, 04/03/2017-08/04/2017). The measurements are complemented by initialization files for SNOWPACK model simulations with the ice reservoir parameterization at Weissfluhjoch for the winter 2016/2017.

ice-layers

display_name: ice-layers

snow-stratigraphy

display_name: snow-stratigraphy

snow-temperature

display_name: snow-temperature

snowmicropen

display_name: snowmicropen

water-front

display_name: water-front

weissfluhjoch

display_name: weissfluhjoch

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

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

en: WFJ_ICE_LAYERS: Multi-instrument data for monitoring deep ice layer formation in an alpine snowpack


maintainer: Yves Bühler

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

en: Data Access

en:
- DSM (10 cm resolution)
- Ortho (3 cm resolution)
- HS (10 cm resolution)
- original RGB drone images
- Agisoft Metashape Processing Report

All products are also available as a cloud optimized geotiff.

en: To map and assess snow depth on different dates, 9 flights were conducted in the winter season of 2020/21 at the Latschüelfurgga in Davos. The data was captured with a Sony RX1R II mounted on a Wingtra drone and was processed with the Agisoft Metashape software. High-resolution DSMs, orthomosaics and snow height rasters, as well as the original RGB images from each flight are available.

drone-data

display_name: drone-data

dsm

display_name: dsm

orthophoto

display_name: orthophoto

photogrammetry

display_name: photogrammetry

snow-depth-mapping

display_name: snow-depth-mapping

uav

display_name: uav

wingtra

display_name: wingtra

en: Photogrammetric Drone Data Latschuelfurgga


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

avalanche-accident-statistics

display_name: avalanche-accident-statistics

avalanche-fatalities

display_name: avalanche-fatalities

fatalities-in-or-around-buildings

display_name: fatalities-in-or-around-buildings

fatalities-in-settlements

display_name: fatalities-in-settlements

fatalities-in-the-backcountry

display_name: fatalities-in-the-backcountry

fatalities-on-transportation-corridors

display_name: fatalities-on-transportation-corridors

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


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

maintainer: Benjamin Walter

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

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

en: Air Temperature

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

format: XLS

en: Snow Surface Temperature

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

en: Snow Depth

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

en: Relative Humidity

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

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

raclets

display_name: raclets

snow

display_name: snow

snow-depth

display_name: snow-depth

snow-height

display_name: snow-height

snow-temperature

display_name: snow-temperature

temperature

display_name: temperature

en: Snow Drift Station - Snow and Air Data


maintainer: Franziska Gerber

en: antarctica cryowrf aws consistent python

en: Scripts to preprocess (and download for some databases) atmospheric weather station data. Furthermore, a list of stations and a map can be created to have an overview.

en:
There are many sources providing atmospheric weather station data for the Antarctic continent. However, variable naming, timestamps and data types are highly variable between the different sources. The published python code intends to make processing of different AWS sources from Antarctica easier. For all datasets that are taken into account variables are renamed in a consistent way. Data from different sources can then be handled in one consistent python dictionary.

The following data sources are taken into account:

* AAD: Australian Antarctic Division (https://data.aad.gov.au/aws)
* ACECRC: Antarctic Climate and Ecosystems Cooperative Research Centre by the Australian Antarctic Division
* AMRC: Antarctic Meteorological Research Center (ftp://amrc.ssec.wisc.edu/pub/aws/q1h/)
* BAS: British Antarctic Survey (ftp://ftp.bas.ac.uk/src/ANTARCTIC_METEOROLOGICAL_DATA/AWS/; https://legacy.bas.ac.uk/met/READER/ANTARCTIC_METEOROLOGICAL_DATA/)
* CLIMANTARTIDE: Antarctic Meteo-Climatological Observatory by the italian National Programme of Antarctic Research (https://www.climantartide.it/dataaccess/index.php?lang=en)
* IMAU: Institute for Marine and Atmospheric research Utrecht (Lazzara et al., 2012), https://www.projects.science.uu.nl/iceclimate/aws/antarctica.ph
* JMA: Japan Meteorological Agency (https://www.data.jma.go.jp/antarctic/datareport/index-e.html)
* NOAA: National Oceanic and Atmospheric Administration (https://gml.noaa.gov/aftp/data/meteorology/in-situ/spo/)
* Other/AWS_PE: Princess Elisabeth (PE), KU Leuven, Prof. N. van Lipzig, personal communication
* Other/DDU_transect: Stations D-17 and D-47 (in transect between Dumont d’Urville and Dome C, Amory, 2020)
* PANGAEA: World Data Center (e.g. König-Langlo, 2012)

Important notes

* Information about data sources is available. Some downloading scripts are included in the provided code. However, users should make sure to comply with the data providers terms and conditions.
* Given changing download options of the differnent institutions the above links may not permanently work and data has to be retrieved by the user of this dataset.
* No quality control is applied in the provided preprocessing software - quality control is up to the user of the datasets. Some dataset are quality controlled by the owner.

Acknowledgements
--------------------------
We thank all the data providers for making the data publicly available or providing them upon request. Full acknowledgements can be found in Gerber et al., submitted.

References
---------------
Amory, C. (2020). “Drifting-snow statistics from multiple-year autonomous measurements in Adélie Land, East
Antarctica”. The Cryosphere, 1713–1725. doi: 10.5194/tc-14-1713-2020

Gerber, F., Sharma, V. and Lehning, M.: CRYOWRF - a validation and the effect of blowing snow on the Antarctic SMB, JGR - Atmospheres, submitted.

König-Langlo, G. (2012). “Continuous meteorological observations at Neumayer station (2011-01)”. Alfred Wegener
Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, doi: 10.1594/PANGAEA.
775173

antarctica

display_name: antarctica

aws

display_name: aws

consistent

display_name: consistent

cryowrf

display_name: cryowrf

python

display_name: python

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

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

en: Preprocessing Antarctic Weather Station (AWS) data in python


en: grassland soil-biodiversity bacteria topsoil-removal nematodes biodiversity soil-chemistry soil plants restoration fungi soil-biology

en: Networks

en:
Treatment	Treatment groups; Y.4-18 = restored grasslands; Initial = intensively managed grasslands; Target = species-rich semi-wet to semi-dry grasslands
Correlation	non-parametric Spearman rank correlations
Vertex.1+2	Comparison between network components; N.pool = total soil nitrogen pool [kg ha-1 12 cm-1]; Corg.pool = soil organic carbon pool [kg ha-1 12 cm-1], pH = soil pH [CaCl2]; BD = bulk density [g cm-3]; FC = field capacity [%]
	PCoA 1 + 2 biotic communities [Veg = vegetation; Nem = nematoda; Fun = fungi; Prok = prokaryota]
Type	Interactions type; A.A = abiotic.abiotic; A.B = abiotic.biotic; B.B = biotic.biotic

en: Nematode data

en:
Sample.data
Plot.ID	consecutive numbers for plots (in total 36 plots)
Treatment	One restoration treatment and two reference treatments. Topsoil+Propagules= Topsoil removal (upper 10-30 cm) combined with introduction of target plant species; Initial=intensively managed grasslands; Target= species-rich semi-wet to semi-dry grasslands
treat.yr	Treatment abbreviation. For restored grasslands: Treatment abbreviation + time since restoration; Initial + Target = NA
yr.trt	year when topsoil was removed; Initial + Target = NA
Age	time since restoration (sampling year 2018 - yr.trt); Initial + Target = NA
Age.class	restored sites of similar age grouped into four age classes. Y.4 = Year 3+4 (recently restored); Y.18 = Year 17+19 (mid-term); Y.24 = Year 23+25 (long-term); Y.30 = Year 27+32 (long-term); Initial + Target = NA
Cluster	clustered spatial arrangment of sites in the field (see Supporting Information Fig. S1)
Site	clustered spatial arrangment (replicates) of plots per site (see Supporting Information Fig. S1)

Taxonomy
ASV.ID	unit number.letter code per amplicon sequence variant (in total 904)
Taxonomic rank	Phylum, Class, Order, Family, Genus, Species

Abundance
columns	Plot.ID (see Sample.data)
rows	ASV.ID (see Taxonomy)

en: Fungi data

en:
Sample.data
Plot.ID	consecutive numbers for plots (in total 36 plots)
Treatment	One restoration treatment and two reference treatments. Topsoil+Propagules= Topsoil removal (upper 10-30 cm) combined with introduction of target plant species; Initial=intensively managed grasslands; Target= species-rich semi-wet to semi-dry grasslands
treat.yr	Treatment abbreviation. For restored grasslands: Treatment abbreviation + time since restoration; Initial + Target = NA
yr.trt	year when topsoil was removed; Initial + Target = NA
Age	time since restoration (sampling year 2018 - yr.trt); Initial + Target = NA
Age.class	restored sites of similar age grouped into four age classes. Y.4 = Year 3+4 (recently restored); Y.18 = Year 17+19 (mid-term); Y.24 = Year 23+25 (long-term); Y.30 = Year 27+32 (long-term); Initial + Target = NA
Cluster	clustered spatial arrangment of sites in the field (see Supporting Information Fig. S1)
Site	clustered spatial arrangment (replicates) of plots per site (see Supporting Information Fig. S1)

Taxonomy
OTU.ID	consecutive numbers for operational taxonomic units (OTUe 1-7794)
Taxonomic rank	Domain, Phylum, Class, Order, Family, Genus, Species

Abundance
columns	Plot.ID (see Sample.data)
rows	OTU.ID (see Taxonomy)

en: Ecosystem coupling_interactions

en:
Treatment	Treatment groups; Y.4-18 = restored grasslands; Initial = intensively managed grasslands; Target = species-rich semi-wet to semi-dry grasslands
Type	Interactions type; A.A = abiotic.abiotic; A.B = abiotic.biotic; B.B = biotic.biotic
Correlation	non-parametric Spearman rank correlations between biotic and abiotic parameters (ecological interactions)

en: Distance to target results

en:
Community	biotic community (vegetation, nematoda, fungi, prokaryota)
Treatment	Treatment groups; Y.4-30= restored grasslands (time since restoration); Initial=intensively managed grasslands (I)
Comparison	within- or between-community Bray-Curtis dissimilarity distance comparison
Label	within-community distances of initial/restored grasslands: treatment abbreviation; between-communities distances of initial/restored-to-target grasslands: treatment abbreviation plus Target (T; species-rich grasslands)
mean	Mean distance to Target (6 plots per treatment group)
sd	Standard deviation of distances to Target (6 plots per treatment group)

en: Vegetation data

en:
Plot.ID	consecutive numbers for plots (in total 36 plots)
Treatment	One restoration treatment and two reference treatments. Topsoil+Propagules= Topsoil removal (upper 10-30 cm) combined with introduction of target plant species; Initial=intensively managed grasslands; Target= species-rich semi-wet to semi-dry grasslands
treat.yr	Treatment abbreviation. For restored grasslands: Treatment abbreviation + time since restoration; Initial + Target = NA
yr.trt	year when topsoil was removed; Initial + Target = NA
Age	time since restoration (sampling year 2018 - yr.trt); Initial + Target = NA
Age.class	restored sites of similar age grouped into four age classes. Y.4 = Year 3+4 (recently restored); Y.18 = Year 17+19 (mid-term); Y.24 = Year 23+25 (long-term); Y.30 = Year 27+32 (long-term); Initial + Target = NA
Cluster	clustered spatial arrangment of sites in the field (see Supporting Information Fig. S1)
Site	clustered spatial arrangment (replicates) of plots per site (see Supporting Information Fig. S1)
column I-LW	Plant abundance per species (in total 327 plant species) expressed as cover percentage estimation according to van der Maarel (vdM 1979; 7 classes: 1-7); nomenclature according to Lauber & Wagner (1996)

en: Soil properties

en:
Plot.ID	consecutive numbers for plots (in total 36 plots)
Treatment	One restoration treatment and two reference treatments. Topsoil+Propagules= Topsoil removal (upper 10-30 cm) combined with introduction of target plant species; Initial=intensively managed grasslands; Target= species-rich semi-wet to semi-dry grasslands
treat.yr	Treatment abbreviation. For restored grasslands: Treatment abbreviation + time since restoration; Initial + Target = NA
yr.trt	year when topsoil was removed; Initial + Target = NA
Age	time since restoration (sampling year 2018 - yr.trt); Initial + Target = NA
Age.class	restored sites of similar age grouped into four age classes. Y.4 = Year 3+4 (recently restored); Y.18 = Year 17+19 (mid-term); Y.24 = Year 23+25 (long-term); Y.30 = Year 27+32 (long-term); Initial + Target = NA
Cluster	clustered spatial arrangment of sites in the field (see Supporting Information Fig. S1)
Site	clustered spatial arrangment (replicates) of plots per site (see Supporting Information Fig. S1)
N.pool	Soil nitrogen pool (June 2017); corrected for bulk density and 12 cm sampling depth [kg ha-1 12cm-1]
Corg.pool	Soil organic carbon pool (June 2017); corrected for bulk density and 12 cm sampling depth [kg ha-1 12cm-1]
pH	soil pH [CaCl2]
BD	Bulk density [g cm-3]
FC	Field capacity [%]
Veg.1	principle coordinate axis 1 (vegetation)
Veg.1	principle coordinate axis 2 (vegetation)
Nem.1	principle coordinate axis 1 (nematoda)
Nem.2	principle coordinate axis 2 (nematoda)
Fun.1	principle coordinate axis 1 (fungi)
Fun.2	principle coordinate axis 2 (fungi)
Prok.1	principle coordinate axis 1 (prokaryota)
Prok.2	principle coordinate axis 2 (prokaryota)
Veg.H	Shannon diversity (vegetation)
Nem.H	Shannon diversity (nematoda)
Fun.H	Shannon diversity (fungi)
Prok.H	Shannon diversity (prokaryota)

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

Paper Citation:

_Resch, M.C., Schütz, M., Ochoa-Hueso, R., Buchmann, N., Frey, B., Graf, U., van der Putten, W.H., Zimmermann, S., Risch, A.C. (in review). Long-term recovery of above- and belowground interactions in restored grassland after topsoil removal and seed addition. Journal of Applied Ecology_

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

Study area and experimental design
The study was conducted in and around two nature reserves, Eigental and Altläufe der Glatt, which were located approximately 5 km apart (47°27´ to 47°29´ N, 8°37´ to 8°32´ E, 417 to 572 m a.s.l., Canton of Zurich, Switzerland; Figure S1 and S2, Table S1). Mean annual temperature and precipitation are 9.8 ± 0.6 °C and 990 ± 168 mm (Kloten climate station 1988-2018; MeteoSchweiz, 2019). TFor this study, we used a space-for-time approach based on eight restoration sites that were between 3 and 32 years old. We measured recovery and restoration success by comparing the restored grasslands with intensively managed and semi-natural grasslands. Using a space-for-time approach requires high similarities in historical properties of the site, such as soil conditions and management regimes, to assure that temporal processes are appropriately represented by spatial patterns (Walker et al., 2010). This was the case in our study. The restored sites had similar soil conditions (i.e., soil type, structure, water availability) as the targeted semi-natural grasslands, while they shared the same agricultural legacy with intensively managed grasslands, i.e., biomass harvest and fertilization (manure and/or slurry) three to five times a year as well as tillage. We randomly established three 5 m x 5 m (25-m2) plots for plant identification and three 2 m x 2 m (4-m2) subplots for soil biotic and abiotic data collection at least 2 m away from the 25-m2 plots in each restoration site. Sites of similar age were grouped into four age classes: Y.4 (3 & 4 years after restoration), Y.18 (17 & 19 years), Y.24 (23 & 25 years), and Y.30 (27 & 32 years). Six intensively managed (Initial) and six semi-natural grassland (Target) sites complemented the experimental set-up, for a total of 36 plots. All plots were sampled under similar conditions, i.e., day of the year, air temperature, soil moisture, and time since last rain event, in June/July 2017 (intensively managed and semi-natural plots) and 2018 (restored plots).

Collection of plants and selected soil biota data
Plant species cover (in %) was visually estimated in each 25-m2 plot in mid-June (Braun-Blanquet, 1964; nomenclature: Lauber & Wagner, 1996). We calculated Shannon diversity and assessed plant community structure. We included soil microbial (fungi, procaryotes) and nematodes in our study as they represent the majority of soil biotic diversity and abundance (Bardgett & van der Putten, 2014), cover various trophic levels of the soil food web (Bongers & Ferris, 1999), and play key roles in soil functioning and ecosystem processes (Bardgett & van der Putten, 2014). In particular, soil nematodes were found to be well suited belowground indicators to evaluate recovery/development after restoration (e.g. Frouz, et al. 2008; Kardol et al., 2009; Resch et al., 2019). We randomly collected ten soil cores (2.2 cm diameter x 12 cm depths; sampler from Giddings Machine Company, Windsor, USA) in the 4-m2 subplots to assess soil nematode and microbial (fungal, prokaryotic) diversities and community structures. For soil nematodes, eight of the soil cores were combined and gently homogenized, placed in coolers and stored at 4 °C and transported to the laboratory (Netherlands Institute of Ecology, NIOO, Wageningen, Netherlands) within three days after collection. Free-living nematodes were extracted from 200 g of fresh soil using Oostenbrink elutriators (Oostenbrink, 1960). After extraction, each sample was divided into three subsamples, two for molecular identification and one to determine nematode abundance (see Resch et al., 2019). For the molecular work, two subsamples were stored in 70% ethanol (final volume 10 mL each) and transported to the laboratory at the Swiss Federal Research Institute WSL (Birmensdorf, Switzerland). Each subsample was reduced to roughly 200 μL by centrifugation and removal of the supernatant. The remaining ethanol was vaporized (65 °C for 3 h). Thereafter, 180 μL ATL buffer solution (Qiagen, Hilden, Germany) was immediately added and samples were stored at 4 °C until further processing. From these samples, nematode metagenomic DNA was extracted using the DNeasy Blood & Tissue Kit (Qiagen, Hilden, Germany) according to the manufacturer`s protocol, except for the incubation step which was run at 56 °C for 4 h. PCR amplification of the V6-V8 region of the eukaryotic small-subunit (18S) was performed with 7.5 μL of genomic DNA template (ca. 1 ng/μL) in 25 μL reactions containing 5 μL PCR reaction buffer, 2.5 mM MgCL2, 0.2 mM dNTPs, 0.8 μM of each primer (NemF: Sapkota & Nicolaisen, 2015; 18Sr2b: Porazinska et al., 2009), 0.5 μL BSA, and 0.25 μL GoTaq G2 Hot Start Polymerase (Promega Corporation, Madison, USA). Amplification was using an initial DNA denaturation step of 95 °C for 2 min, followed by 35 cycles at 94 °C for 40 sec, 58 °C for 40 sec, 72 °C for 1 min, and a final elongation step at 72 °C for 10 min. Filtering, dereplication, sample inference, chimera identification, and merging of paired-end reads was implemented using the DADA2 pipeline (v.1.12; Callahan et al., 2016) to finally assign amplicon sequence variants (ASVs) as taxonomic units.
We combined and homogenized the remaining two soil cores to assess soil microbes, placed them in coolers (4 °C) and transported them to the laboratory at WSL. Metagenomic DNA was extracted from 8 g sieved soil (2 mm) using the DNAeasy PowerMax Soil Kit (Qiagen, Hilden, Germany) according to the manufacturer´s protocol. PCR amplification of the V3-V4 region of the small-subunit (16S) of prokaryotes (i.e., bacteria and archaea) and the ribosomal internal transcribed spacer region (ITS2) of fungi was performed with 1 ng of template DNA using PCR primers and conditions as previously described (Frey et al., 2016). PCRs were run in triplicates, pooled and sent to the Genome Quebec Innovation Centre (Montreal, QC, Canada) for barcoding using the Fluidigm Access Array technology (Fluidigm) and paired-end sequencing on the Illumina MiSeq v3 platform (Illumina Inc., San Diego, USA). Quality filtering, clustering into operational taxonomic units (OTUs, 97% similarity cutoffs) and taxonomic assignment were performed as previously described (Resch et al., 2021).Taxonomic classification of nematode, prokaryotic and fungal sequences was conducted querying against the most recent versions of PR2 (v.4.11.1; Guillou et al., 2013), SILVA (v.132; Quast et al., 2013), and UNITE (v.8; Nilsson et al., 2019) reference sequence databases. Taxonomic assignment cutoffs were set to confidence rankings ≥ 0.8 (below ranked as unclassified). Prokaryotic OTUs assigned to mitochondria or chloroplasts as well as OTUs or ASVs assigned to other than Fungi or Nematoda were manually removed prior to data analysis. The three datasets were filtered to discard singletons and doubletons. Taxonomic abundance matrices were rarefied to the lowest number of sequences per community to achieve parity of the total number of reads between samples (Prokaryotes: 10,929 reads; Fungi: 18,337 reads; Nematodes: 6,662 reads). We calculated Shannon diversity and assessed community structures for soil nematodes, prokaryotes and fungi based on their relative abundances of ASV or OTU at the taxon level.

Collection of soil physical and chemical properties
We randomly collected one undisturbed soil core (5 cm diameter, 12 cm depth) per 4-m2 subplot using a steel cylinder that fit into the soil corer. The cylinders were capped to avoid disturbance during transport and used to measure field capacity, rock content and fine earth density as previously described (Resch et al., 2021). We randomly collected another three soil cores (5 cm diameter, 12 cm depths) in each 4-m2 subplot to determine soil chemical properties. The cores were pooled, dried at 60 °C for 48 h and passed through a 2 mm sieve. We measured soil pH (CaCl2) on dried samples, total nitrogen (N) and organic carbon (C) concentration on dried and fine-ground samples (≤ 0.5 mm; for details see Resch et al., 2021). We calculated total N and organic C pools after correcting its concentration for soil depth, rock content and fine earth density.

bacteria

display_name: bacteria

biodiversity

display_name: biodiversity

fungi

display_name: fungi

grassland

display_name: grassland

nematodes

display_name: nematodes

plants

display_name: plants

restoration

display_name: restoration

soil

display_name: soil

soil-biodiversity

display_name: soil-biodiversity

soil-biology

display_name: soil-biology

soil-chemistry

display_name: soil-chemistry

topsoil-removal

display_name: topsoil-removal

en: Long-term recovery of above-and belowground interactions in restored grasslands


maintainer: Lisa Hülsmann

en: tree-growth inventory-data tree-mortality forest-reserves empirical-mortality-models

en: Calibration data

en:
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.

 Meta data
Reserve: Name of the forest reserve

Plot: Permanent plot number

 Tree data
Species: Latin species name (or species group, cf. _Quercus_ spp.)

y: Status of the tree with 0 = alive and 1 = dead

dt: Length of the mortality period (years)

DBH: Diameter at breast height (mm) of the second inventory

relBAI: Annual relative basal area increment (-) calculated based on the first and the second DBH measurement as the compound annual growth rate of the trees basal area

 Stand data
_All stand variables were calculated for the second inventory._

mDBH: Mean diameter at breast height (mm)

iqrDBH: Interquartile range of diameter at breast height (mm)

BA: Basal area per hectare (m2 ha-1)

N: Number of trees per hectare (ha-1)

 Climate data
_Both climate variables were calculated for the period between the second and the third inventory._

P: Mean annual precipitation sum (mm)

mT: Mean annual air temperature (°C)

en:
The dataset comprises > 90 000 records from inventories in 54 strict forest reserves in [Switzerland](https://www.wsl.ch/de/wald/biodiversitaet-naturschutz-urwald/naturwaldreservate.html) and [Lower Saxony / Germany](http://naturwaelder.de/) along a considerable environmental gradient. It was used to develop parsimonious, species-specific mortality models for 18 European tree species based on tree size and growth as well as additional covariates on stand structure and climate.

 Inventory data
Measurements had been conducted repeatedly on up to 14 permanent plots per reserve for up to 60 years with re-measurement intervals of 4 - 27 years. The permanent plots vary in size between 0.03 and 3.47 ha. The inventories provide diameter measurements at breast height (DBH) and information on the species and status (alive or dead) of trees with DBH ≥ 4 cm for Switzerland and ≥ 7 cm for Germany.

 Data selection
We excluded three permanent plots where at least 80 % of the trees died during an interval of 10 years, and mortality could be clearly assigned to a disturbance agent. Mortality in the remaining stands was rather low, with a mean annual mortality rate of 1.5 % and strong variation between plots from 0 to 6.5 % (assessed for trees of all species with DBH ≥ 7 cm).
We only used data from permanent plots with at least 20 trees per species to obtain reliable plot-level mortality rates even for species with low mortality rates (about 5 % during 10 years), and selected tree species occurring on at least 10 plots to cover sufficient ecological gradients. This led to a dataset of 197 permanent plots and 18 tree or shrub species: _Abies alba_ Mill., _Acer campestre_ L., _Acer pseudoplatanus_ L., _Alnus incana_ Moench., _Betula pendula_ Roth, _Carpinus betulus_ L., _Cornus mas_ L., _Corylus avellana_ L., _Fagus sylvatica_ L., _Fraxinus excelsior_ L., _Picea abies_ (L.) Karst, _Pinus mugo_ Turra, _Pinus sylvestris_ L., _Quercus pubescens_ Willd., _Quercus_ spp. (_Q. petraea_ Liebl. and _Q. robur_ L.; not properly differentiated in the Swiss inventories), _Sorbus aria_ Crantz, _Tilia cordata_ Mill. and _Ulmus glabra_ Huds..

 Predictors of tree mortality
We considered tree size and growth as key indicators for mortality risk. Radial stem growth between the first and second inventory and DBH at the second inventory were used to predict tree status (alive or dead) at the third inventory. To this end, the annual relative basal area increment (relBAI) was calculated as the compound annual growth rate of the trees basal area. Additional covariates on stand structure and climate comprise mean annual precipitation sum (P), mean annual air temperature (mT), the mean and the interquartile range of DBH (mDBH, iqrDBH), basal area (BA) and the number of trees (N) per hectare.

 Further information
For further information, refer to Hülsmann _et al_. (in press) How to kill a tree – Empirical mortality models for eighteen species and their performance in a dynamic forest model. _Ecological Applications_.

empirical-mortality-models

display_name: empirical-mortality-models

forest-reserves

display_name: forest-reserves

inventory-data

display_name: inventory-data

tree-growth

display_name: tree-growth

tree-mortality

display_name: tree-mortality

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

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

en: Calibration data for empirical mortality models of 18 European tree species