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

fr: RESTful API

de: RESTful API

fr: RESTful API de geo.admin.ch

fr: Service WMS-IFDG, couche "Aires pour les Yénisch, Manouches et Roms"

de: WMS-BGDI Dienst, Layer "Plätze für Jenische, Sinti und Roma"

en: WMS-FSDI service, layer "Plätze für Jenische, Sinti und Roma"

it: Servizio WMS-IFDG, strato "Aree per Jenisch, Sinti e Rom"

fr: Service WMTS-IFDG, couche , Layer "Aires pour les Yénisch, Manouches et Roms"

de: WMTS-BGDI Dienst, Layer "Plätze für Jenische, Sinti und Roma"

en: WMTS-FSDI service, layer "-"

it: Servizio WMTS-IFDG, strato "Aree per Jenisch, Sinti e Rom"

fr: La collection de géodonnées "Aires de stationnement, de passage et de transit pour les Yénisch, Manouches et Roms contient des informations sur les zones réservées au passage et au stationnement des populations Yénisch, Manouches et Roms, qui mènent principalement un mode de vie itinérante. La création et la gestion des zones sont principalement du ressort des cantons et des communes. L'autorité fédérale responsable est l'Office fédéral de la culture. Le jeu de données est publié par l'Office fédéral de la culture en collaboration avec la Fondation "Un avenir pour les gens de voyage suisses" et l'Office fédéral du développement territorial ARE.

de: Die Sammlung von Geodaten "Standplätze, Durchgangs und Transitplätze für Jenische, Sinti und Roma " enthält Informationen über die Plätze, die für den Durchgang und die Stationierung der Jenischen, Sinti und Roma reserviert sind, die überwiegend einen nomadischen Lebensstil führen. Die Einrichtung und Verwaltung der Gebiete liegt hauptsächlich in der Verantwortung der Kantone und Gemeinden. Auf nationaler Ebene ist das Bundesamt für Kultur zuständig. Die Sammlung wird vom Bundesamt für Kultur in Zusammenarbeit mit der Stiftung "Zukunft für Schweizer Fahrende" und dem Bundesamt für Raumentwicklung ARE veröffentlicht.

en: The collection of geodata "Sites, transit sites and places of transit for Yenish, Sinti and Roma people" contains information on the areas reserved for the transit and stationing of Yenish, Sinti and Roma, who predominantly lead a itinerant lifestyle. The establishment and management of the areas is mainly the responsibility of the cantons and municipalities. At the national level, the Federal Office of Culture is responsible. The collection is published by the Federal Office of Culture in cooperation with the Foundation "Future for Swiss Travellers" and the Federal Office for Spatial Development ARE.

it: La raccolta di geodati “Aree di sosta, passaggio e transito per Jenisch, Sinti e Roma” contiene informazioni sulle aree riservate al passaggio e allo stazionamento delle popolazioni Jenisch, Sinti e Roma, che conducono in prevalenza uno stile di vita nomade. La creazione e la gestione delle aree è prevalentemente di competenza dei Cantoni e dei Comuni. L’autorità federale competente in materia è l’Ufficio federale della cultura. Il Set di dati viene pubblicato dall’Ufficio federale della cultura in collaborazione con la Fondazione “Un futuro per i nomadi svizzeri” e l’Ufficio federale dello sviluppo territoriale ARE.

bundesamt-fur-kultur-bak

fr: Office fédéral de la culture OFC

de: Bundesamt für Kultur BAK

en: Federal Office of Culture FOC

it: Ufficio federale della cultura UFC

fr: L'Office fédéral de la culture (OFC) est en charge de la politique culturelle de la Confédération et de l'encouragement, de la conservation et de la mise en valeur de la diversité culturelle. Il soutient la création culturelle dans des domaines comme l'art ou le cinéma, gère des musées et des collections, promeut la conservation du patrimoine et s'engage en faveur de la formation culturelle.

de: Das Bundesamt für Kultur (BAK) ist zuständig für die Kulturpolitik des Bundes und verantwortlich für die Förderung, Erhaltung und Vermittlung kultureller Vielfalt. Es fördert das kulturelle Schaffen in Bereichen wie Kunst und Film, betreut Museen und Sammlungen, unterstützt die Denkmalpflege und engagiert sich in der kulturellen Bildung.

en: The Federal Office of Culture (FOC) is the expert authority of the Swiss Confederation for cultural policy, cultural promotion, and the preservation of culture. It supports cultural work (art, film), manages museums and collections, promotes cultural heritage and encourages cultural education.

it: L'Ufficio federale della cultura (UFC) è responsabile della politica culturale della Confederazione e della promozione, salvaguardia e mediazione della diversità culturale. Esso promuove la creazione culturale in ambiti quali l'arte e il cinema, gestisce musei e collezioni, sostiene la salvaguardia dei monumenti storici e s'impegna a favore della formazione culturale.

value: BAK - Geocat Harvester


maintainer: OGD-Koordinationsstelle Kanton Thurgau

de: pflegefamilie pflegekinder platzierung

state: active

type: dataset

de: csv

media_type: text/csv

de: Pflegefamilien im Kanton Thurgau (csv)

format: CSV

mimetype: text/csv

license: CC BY 4.0

de: json

media_type: application/json

de: Pflegefamilien im Kanton Thurgau (json)

format: JSON

mimetype: application/json

de: Der Datensatz enthält die Anzahl der Pflegefamilien im Kanton Thurgau nach Platzierungssituation und einem etwaigen verwandtschaftlichen Verhältnis zum Pflegekind.Datenstand jeweils der 31.12

pflegefamilie

display_name: pflegefamilie

pflegekinder

display_name: pflegekinder

platzierung

display_name: platzierung

population

fr: Population

de: Bevölkerung

en: Population

it: Popolazione

social-security

fr: Protection sociale

de: Soziale Sicherheit

en: Social security

it: Sicurezza sociale

kanton-thurgau

fr: Canton de Thurgovie

de: Kanton Thurgau

en: Canton of Thurgau

it: Cantone di Turgovia

de: Der Kanton Thurgau veröffentlicht hier schrittweise OGD-Datensätze der kantonalen Verwaltung.

political_level: canton

type: organization

approval_status: approved

key: guid

key: uri

value: TG-Kt DCAT Harvester

de: Pflegefamilien im Kanton Thurgau


waldbrandgefahrenwarnung

agriculture

fr: Agriculture, sylviculture

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

title_for_slug: waldbrandgefahrenwarnung

label: Link zum Fachportal

label: geocat.ch permalink

spatial: Schweiz

fr: Lien vers la distribution des données

de: Link zum Datenbezug

en: Link for download

it: Link per le fonti dei dati

format: HTML

de: Waldbrandgefahr

format: WMS

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

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

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

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

fr: Aperçu map.geo.admin.ch

de: Vorschau map.geo.admin.ch

en: Preview map.geo.admin.ch

it: Previsione map.geo.admin.ch

format: SERVICE

de: RESTful API von geo.admin.ch

en: RESTful API from geo.admin.ch

it: RESTful API da geo.admin.ch

format: API

fr: L'alerte au danger d'incendie de forêt de l'OFEV contient le danger général quotidien d'incendie de forêt sur la base des données météorologiques et des indices d'incendie de forêt qui en découlent.

de: Die BAFU Waldbrandgefahrenwarnung enthält die täglich generelle Waldbrandgefahr auf Basis von meteorologischen Daten und den daraus abgeleiteten Waldbrandindizes.

en: The FOEN's forest fire danger warning contains the general daily forest fire danger based on meteorological data and the resulting forest fire indices.

it: L'alerta di pericolo di incendio boschivo dell'UFAM contiene il pericolo generale giornaliero di incendio di boschi basato sui dati meteorologici e gli indici di incendio di boschi risultanti.

bundesamt-fur-umwelt-bafu

fr: Office fédéral de l'environnement OFEV

de: Bundesamt für Umwelt BAFU

en: Federal Office for the Environment FOEN

it: Ufficio federale dell'ambiente UFAM

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

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

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

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

political_level: confederation

value: BAFU - Geocat Harvester

fr: Alerte au danger d'incendie de forêt

de: Waldbrandgefahrenwarnung

en: Warning Forest Fire Danger

it: Alerta per il pericolo di incendi di boschi


de: json

de: Lotteriefonds Kanton Thurgau: Zugesprochene Beiträge (json)

de: csv

de: Lotteriefonds Kanton Thurgau: Zugesprochene Beiträge (csv)

de: Der Datensatz enthält die zugesprochenen Projektbeiträge aus dem Lotteriefonds des Kantons Thurgau. Zuständig für die Bearbeitung der Gesuche an den Lotteriefonds ist das Kulturamt Kanton Thurgau. Unterstützt werden kulturelle, wissenschaftliche und gemeinnützige Projekte, die einen Bezug haben zum Kanton und von überregionaler Bedeutung sind.Die gesetzlichen Grundlagen und die formalen, inhaltlichen und kulturpolitischen Kriterien für die Beurteilung von Projekten sind online unter www.kulturamt.tg.ch einzusehen.

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


fr: Annuaire statistique de la Suisse 1895

de: Statistisches Jahrbuch der Schweiz 1895

media_type: application/pdf

format: PDF

mimetype: application/pdf

media_type: text/html

mimetype: text/html

basas-statisticas-e-survistas

display_name: basas-statisticas-e-survistas

bases-statistiques-et-generalites

display_name: bases-statistiques-et-generalites

grundlagen-und-ubersichten

display_name: grundlagen-und-ubersichten

statistical-basis-and-overviews

display_name: statistical-basis-and-overviews

statistical-basis

fr: Bases statistiques

de: Statistische Grundlagen

en: Statistical basis

it: Basi statistiche

bundesamt-fur-statistik-bfs

fr: Office fédéral de la statistique OFS

de: Bundesamt für Statistik BFS

en: Federal Statistical Office FSO

it: Ufficio federale di statistica UST

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

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

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

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

value: BFS – DCAT Harvester


fr: Annuaire statistique de la Suisse 1892

de: Statistisches Jahrbuch der Schweiz 1892


de: Statistisches Jahrbuch der Schweiz 1906

fr: Annuaire statistique de la Suisse 1906


fr: Annuaire statistique de la Suisse 1910

de: Statistisches Jahrbuch der Schweiz 1910


fr: Annuaire statistique de la Suisse 1911

de: Statistisches Jahrbuch der Schweiz 1911


fr: Annuaire statistique de la Suisse 1903

de: Statistisches Jahrbuch der Schweiz 1903


de: Statistisches Jahrbuch der Schweiz 1919

fr: Annuaire statistique de la Suisse 1919


fr: Annuaire statistique de la Suisse 1899

de: Statistisches Jahrbuch der Schweiz 1899


de: Statistisches Jahrbuch der Schweiz 1904

fr: Annuaire statistique de la Suisse 1904


de: Statistisches Jahrbuch der Schweiz 1935

fr: Annuaire statistique de la Suisse 1935


fr: Annuaire statistique de la Suisse 1942

de: Statistisches Jahrbuch der Schweiz 1942


de: Statistisches Jahrbuch der Schweiz 1976

fr: Annuaire statistique de la Suisse 1976


fr: Annuaire statistique de la Suisse 1950

de: Statistisches Jahrbuch der Schweiz 1950


fr: Annuaire statistique de la Suisse 1946

de: Statistisches Jahrbuch der Schweiz 1946


fr: Annuaire statistique de la Suisse 1948

de: Statistisches Jahrbuch der Schweiz 1948


de: Statistisches Jahrbuch der Schweiz 1986

fr: Annuaire statistique de la Suisse 1986

statistical-basis

fr: Bases statistiques

de: Statistische Grundlagen


fr: Annuaire statistique de la Suisse 1981

de: Statistisches Jahrbuch der Schweiz 1981

bundesamt-fur-statistik-bfs

fr: Office fédéral de la statistique OFS

de: Bundesamt für Statistik BFS

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

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


de: Statistisches Jahrbuch der Schweiz 1985

fr: Annuaire statistique de la Suisse 1985


fr: Utilisateurs d'internet en Suisse

format: XLS

de: Internetnutzerinnen und -nutzer in der Schweiz

culture

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

de: Kultur, Medien, Informationsgesellschaft, Sport


fr: Annuaire statistique de la Suisse 1990

de: Statistisches Jahrbuch der Schweiz 1990


fr: Analyse spéciale sur les infractions enregistrées par la police pendant la pandémie de COVID-19

de: Spezialauswertung zu den polizeilich registrierten Straftaten während der COVID-19-Pandemie

crime-and-criminal-justice

display_name: crime-and-criminal-justice

criminalita-e-diritto-penale

display_name: criminalita-e-diritto-penale

criminalitad-e-dretg-penal

display_name: criminalitad-e-dretg-penal

criminalite-et-droit-penal

display_name: criminalite-et-droit-penal

kriminalitat-und-strafrecht

display_name: kriminalitat-und-strafrecht

crime

fr: Criminalité, droit pénal

de: Kriminalität, Strafrecht

en: Crime, criminal justice

it: Criminalità, diritto penale


de: Einnahmen aus dem Reiseverkehr ausländischer Gäste

fr: Recettes provenant des hôtes étrangers

tourism

display_name: tourism

tourisme

display_name: tourisme

tourismus

display_name: tourismus

turismo

display_name: turismo

turissem

display_name: turissem

tourism

fr: Tourisme

de: Tourismus

en: Tourism

it: Turismo


de: Printmedien: Auflage- und Leserzahlen ausgewählter Tages- und Sonntagszeitungen, nach Sprachregionen

fr: Médias imprimés: Tirage et nombre de lecteurs de certains quotidiens ou journaux dominicaux, selon la région linguistique


fr: Télévision: Principales chaînes en Suisse

de: Fernsehen: Die wichtigsten Sender in der Schweiz


fr: Débitage de bois rond, sciages et sous-produits dans les scieries en m3, par classe de grandeur et zone forestière

de: Rundholzeinschnitt, Schnitt- und Restholz in den Sägereien in m3, nach Grössenklassen und Forstzonen

agricoltura-e-selvicoltura

display_name: agricoltura-e-selvicoltura

agricultura-ed-economia-forestala

display_name: agricultura-ed-economia-forestala

agriculture-and-forestry

display_name: agriculture-and-forestry

agriculture-et-sylviculture

display_name: agriculture-et-sylviculture

land--und-forstwirtschaft

display_name: land--und-forstwirtschaft

agriculture

fr: Agriculture, sylviculture

de: Land- und Forstwirtschaft

en: Agriculture, forestry

it: Agricoltura, selvicoltura


fr: Télévision: Programmes de la SRG SSR selon la catégorie de contenu

de: Fernsehen: Programmangebot der SRG SSR nach Inhaltskategorien


fr: Mariages, par canton et ville, de 1990 à 2021

de: Heiraten nach Kanton und Stadt, 1990-2021

bevolkerung

display_name: bevolkerung

popolazione

display_name: popolazione

population

display_name: population

populaziun

display_name: populaziun

population

fr: Population

de: Bevölkerung

en: Population

it: Popolazione


fr: Corps enseignant et personnel des hautes écoles selon l'âge et le degré de formation

de: Lehrkräfte und Hochschulpersonal nach Alter und Bildungsstufe

bildung-und-wissenschaft

display_name: bildung-und-wissenschaft

education-and-science

display_name: education-and-science

education-et-science

display_name: education-et-science

formazione-e-scienza

display_name: formazione-e-scienza

furmaziun-e-scienza

display_name: furmaziun-e-scienza

education

fr: Education, science

de: Bildung, Wissenschaft

en: Education and science

it: Formazione e scienza

bundesamt-fur-statistik-bfs

fr: Office fédéral de la statistique OFS

de: Bundesamt für Statistik BFS


fr: Nombre d'objets de votation acceptés et rejetés, selon le type

de: Angenommene und verworfene Abstimmungsvorlagen, nach Typ

politica

display_name: politica

politics

display_name: politics

politik

display_name: politik

politique

display_name: politique

politics

fr: Politique

de: Politik

en: Politics

it: Politica

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

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


de: Ausbildungsbeiträge: Betrag, Bezügerinnen und Bezüger und Bundessubvention

fr: Contributions à la formation: montant, bénéficiaires et subvention fédérale


fr: Nombre d'entreprises et d'emplois des groupes d'entreprises par type de groupe, pays d'origine et branches (agrégées par section)

de: Anzahl Unternehmen und Beschäftigte von Unternehmensgruppen nach Art der Gruppe, Sitzland und Branchen (aggregiert nach Abschnitten)

industria-e-servetschs

display_name: industria-e-servetschs

industria-e-servizi

display_name: industria-e-servizi

industrie-et-services

display_name: industrie-et-services

industrie-und-dienstleistungen

display_name: industrie-und-dienstleistungen

industry-and-services

display_name: industry-and-services

industry

fr: Industrie, services

de: Industrie, Dienstleistungen

en: Industry and services

it: Industria, servizi


fr: Dépenses publiques d'éducation selon le degré de formation, la nature de la dépense et le niveau administratif

de: Öffentliche Bildungsausgaben nach Bildungsstufe, Ausgabenart und Verwaltungsebene


de: Straf- und Massnahmenvollzug: Einweisungen nach Hauptentscheid

fr: Exécution des peines et des mesures: incarcérations selon la décision principale

crime-and-criminal-justice

display_name: crime-and-criminal-justice

criminalita-e-diritto-penale

display_name: criminalita-e-diritto-penale

criminalitad-e-dretg-penal

display_name: criminalitad-e-dretg-penal

criminalite-et-droit-penal

display_name: criminalite-et-droit-penal

kriminalitat-und-strafrecht

display_name: kriminalitat-und-strafrecht

crime

fr: Criminalité, droit pénal

de: Kriminalität, Strafrecht


fr: Contributions et prêts de la Confédération en faveur des transports publics

de: Beiträge und Darlehen des Bundes zugunsten des öffentlichen Verkehrs

mobilita-e-trasporti

display_name: mobilita-e-trasporti

mobilitad-e-traffic

display_name: mobilitad-e-traffic

mobilitat-und-verkehr

display_name: mobilitat-und-verkehr

mobilite-et-transports

display_name: mobilite-et-transports

mobility-and-transport

display_name: mobility-and-transport

mobility

fr: Mobilité et transports

de: Mobilität und Verkehr

en: Mobility and Transport

it: Mobilità e trasporti


fr: Les comptes économiques de la sylviculture: séquence comptable complète

de: Die Forstwirtschaftliche Gesamtrechnung: Kontensequenz

agricoltura-e-selvicoltura

display_name: agricoltura-e-selvicoltura

agricultura-ed-economia-forestala

display_name: agricultura-ed-economia-forestala

agriculture-and-forestry

display_name: agriculture-and-forestry

agriculture-et-sylviculture

display_name: agriculture-et-sylviculture

land--und-forstwirtschaft

display_name: land--und-forstwirtschaft

agriculture

fr: Agriculture, sylviculture

de: Land- und Forstwirtschaft


maintainer: Caroline Kan

title_for_slug: Grosse Hochwasserabflüsse in der Schweiz

author: Bundesamt für Umwelt BAFU

format: ODS

fr: Répertoire des importants débits de crue dans les bassins versants suisses, établi par Scherrer AG sur mandat de l'OFEV. Les données les plus anciennes remontent à 1900, avec des valeurs isolées antérieures.

de: Verzeichnis grosser Hochwasserabflüsse in schweizerischen Einzugsgebieten, zusammengestellt von der Scherrer AG im Auftrag des BAFU. Daten ab 1900, einzelne Werte von früher.

it: Elenco delle portate di piena elevate nei bacini imbriferi svizzeri. Elaborato da Scherrer AG, su mandato dell’UFAM.

fr: Importants débits de crue en Suisse

it: Portate di piena elevate

territory

fr: Territoire et environnement

de: Raum und Umwelt

en: Territory and environment

it: Territorio e ambiente

bundesamt-fur-umwelt-bafu

fr: Office fédéral de l'environnement OFEV

de: Bundesamt für Umwelt BAFU

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.


maintainer: Statistisches Amt des Kantons Zürich, Data Shop

label: Team "Data" des Kantons Zürich

de: Anfragestatistik des Data Shop im Statistischen Amt des Kantons Zürich - kontrollierte Vokabulare

de: Anfragestatistik des Data Shop im Statistischen Amt des Kantons Zürich ab 2015

de: Spaltenüberschriften: 'id' = Nummer der Anfrage; 'erfassung' = Datum- und Zeitstempel der Anfragenerfassung; 'nutzertyp' = Nutzertyp der Anfrage; 'anfragetyp' = Anfragetyp; 'thema' = Thema der Anfrage; 'kanal' = Eingangskanal der Anfrage; 'zeitaufwand' = Geschätzter Aufwand in Minuten, um die Anfrage zu beantworten (erhoben ab 29.11.2017)

de: Die Abteilung «Data» des Statistischen Amts ist die Anlaufstelle für alle Fragen zu statistischen Informationen. Das Team bewirtschaftet das statistische Grundangebot des Kanton Zürich und bietet Nutzenden kostenlose Auskunft und Beratung zu Anfragen per Telefon oder E-Mail. Seit 2015 werden Anfragen mit Metadaten erfasst und in einer Anfragenstatistik archiviert.

national-economy

fr: Economie nationale

de: Volkswirtschaft

en: National economy

it: Economia

statistisches-amt-kanton-zuerich

de: Statistisches Amt Kanton Zürich

de: Das Statistische Amt ist das Kompetenzzentrum für die öffentliche Statistik im Kanton Zürich. Wir versorgen Bevölkerung, Verwaltung, Politik, Gemeinden, Medien, Firmen und sonstige Organisationen mit qualitativ hochstehenden Daten, Informationen und Fakten zum Kanton Zürich. Inhaltlich arbeiten wir unabhängig und objektiv.

kanton-zuerich

capacity: public

value: ZH-Kt Statistisches Amt - DCAT Harvester


maintainer: Thomas Fricker

de: bewilligungsverfahren baueingabe

de: csv

de: Baugesuche und Baubewilligungen nach Gebäudeart, Gemeinde und Jahr (ab 1991) (csv)

license: CC BY 3.0 CH

de: json

de: Baugesuche und Baubewilligungen nach Gebäudeart, Gemeinde und Jahr (ab 1991) (json)

de: Bewilligte Gesuche, einschliesslich Nachtragsbewilligungen. Achtung: Die Daten können sich rückwirkend ändern! Die Gemeinde Liesberg wird aufgesplittet nach den beiden Ortschaften Liesberg und Liesberg Dorf ausgewiesen.

baueingabe

display_name: baueingabe

bewilligungsverfahren

display_name: bewilligungsverfahren

construction

fr: Construction, logement

de: Bau- und Wohnungswesen

en: Construction and housing

it: Costruzione e abitazione

kanton-basel-landschaft

fr: Canton de Bâle-Campagne

de: Kanton Basel-Landschaft

en: Canton of Basel-Country

it: Cantone di Basilea-Campagna

de:
Der Kanton Basel-Landschaft veröffentlicht nach und nach Open Government Datensätze von kantonalen Ämtern und Dienststellen.
Weitere Informationen unter https://ogd.bl.ch/

value: BL - DCAT


maintainer: Siegfried Heinzl

de: zimmerzahl wohnungen

de: Wohnungsbestand nach Zimmerzahl, Gemeinde und Jahr (ab 1994) (csv)

de: Wohnungsbestand nach Zimmerzahl, Gemeinde und Jahr (ab 1994) (json)

de: Fortschreibung des Wohnungsbestands (bis 2014), Gebäude- und Wohnungsstatistik (ab 2015)

wohnungen

display_name: wohnungen

zimmerzahl

display_name: zimmerzahl


baustellen

title_for_slug: baustellen

spatial: Kanton Schwyz (SZ)

fr: Baustellen

de: Baustellen

en: Baustellen

it: Baustellen

format: WFS

fr: Baustellen, welche mehr als 5 Tage dauern, werden erfasst.

amt-geoinformation-sz

de: Amt für Geoinformation Kanton Schwyz

de: Das Amt für Geoinformation verwaltet und veröffentlicht die Geodaten des Kantons Schwyz als OGC-Geodienste und als Datei-Download. Alle aktuell verfügbaren Geodaten, welche dem OGD unterliegen, sind hier aufgeführt.

value: SZ-Kt Geoinformation - Geocat Harvester


de: Flexibilität der Arbeitszeit nach verschiedenen Merkmalen

fr: Flexibilité du temps de travail selon différentes caractéristiques

arbeit-und-erwerb

display_name: arbeit-und-erwerb

lavoro-e-reddito

display_name: lavoro-e-reddito

lavur-e-gudogn

display_name: lavur-e-gudogn

travail-et-remuneration

display_name: travail-et-remuneration

work-and-income

display_name: work-and-income

work

fr: Travail, rémunération

de: Arbeit, Erwerb

en: Work and income

it: Lavoro e reddito

bundesamt-fur-statistik-bfs

fr: Office fédéral de la statistique OFS

de: Bundesamt für Statistik BFS

it: Ufficio federale di statistica UST

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

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


fr: Subventions fédérales pour cours préparatoires aux examens fédéraux

de: Bundesbeiträge für vorbereitende Kurse auf eidgenössische Prüfungen

bildung-und-wissenschaft

display_name: bildung-und-wissenschaft

education-and-science

display_name: education-and-science

education-et-science

display_name: education-et-science

formazione-e-scienza

display_name: formazione-e-scienza

furmaziun-e-scienza

display_name: furmaziun-e-scienza

education

fr: Education, science

de: Bildung, Wissenschaft

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


geography

fr: Géographie

de: Geographie

en: Geography

it: Geografia

public-order

fr: Ordre et sécurité publics

de: Öffentliche Ordnung und Sicherheit

en: Public order and security

it: Ordine pubblico e sicurezza pubblica

de: sicherheit luftfahrzeug luftsicherheit

en: safety aircraft air-safety

it: sicurezza velivolo sicurezza-aerea

spatial: Canton de Fribourg (FR)

fr: Accès aux données (fr) : téléchargement et services web (Géoportail cantonal)

fr: Datenzugriff (de): Download und Webservices (Kantonales Geoportal)

fr: Zones de restriction de survol par des aéronefs sans occupants émises par l'Office fédéral de l'aviation civile (OFAC) et qui sont en vigueur dans le canton de Fribourg. Pour plus d'informations: https://www.geocat.ch/geonetwork/srv/fre/catalog.search#/metadata/c3ebd7ba-0fd5-411a-9074-3d0cdc46bc4d

de: Gebiete mit Beschränkungen für unbemannte Flugzeuge, die vom Bundesamt für Zivilluftfahrt (BAZL) erlassen wurden und im Kanton Freiburg gelten. Mehr Informationen: https://www.geocat.ch/geonetwork/srv/ger/catalog.search#/metadata/c3ebd7ba-0fd5-411a-9074-3d0cdc46bc4d

fr: Geoinformation Canton Fribourg

de: Geoinformation Kanton Freiburg

en: Geoinformation Canton Fribourg

it: Geoinformazione Canton Friburgo

fr: Les géodonnées publiques du Canton Fribourg sont gérées par le Centre de compétence SIT du Service du cadastre et de la géomatique SCG et mises à disposition sous forme de services web et de téléchargement via le géoportail cantonal.

en: The public geodata of the Canton Fribourg are managed by the GIS Competence Center of the Office of Surveying and Geomatics (VGA) and made available via the cantonal geoportal as web services and for download.

de: Die öffentlichen Geodaten des Kantons Freiburg werden durch das GIS-Kompetenzzentrum des Amtes für Vermessung und Geomatik VGA verwaltet und über das kantonale Geoportal als Webservices und zum Download bereitgestellt.

it: I geodati pubblici del Canton Friburgo sono gestiti dal Centro di competenza GIS dell'Ufficio della Misurazione e della Geomatica (SCG) e messi a disposizione tramite il geoportale cantonale come servizi web e per il download.

value: Fribourg-Kt - Geocat Harvester

fr: Zones fédérales de restriction de vol de drones (Fribourg)

de: Drohnen: Einschränkungen des Bundes (Freiburg)


verkehrszahlung

title_for_slug: verkehrszahlung

label: WebGIS Kanton Schwyz, Thema einblenden

fr: Strassenverkehrszählung: Messstelle

de: Strassenverkehrszählung: Messstelle

en: Strassenverkehrszählung: Messstelle

it: Strassenverkehrszählung: Messstelle

fr: Verkehrszählung

de: Verkehrszählung

en: Verkehrszählung

it: Verkehrszählung

fr: Das Tiefbauamt (TBA) betreibt auf dem Hauptstrassennetz des Kantons Schwyz Verkehrsmessstellen. Die erhobenen Daten dienen als wichtige Grundlage und Information für verkehrstechnische Aufgaben und Strassenbauprojekte. Weiter finden sie Anwendung im Verkehrsmodell und bei der Berechnung des Lärmbelastungskatasters und für Verkehrsauskünfte innerhalb der kantonalen Verwaltung als auch an Dritte. Die Kennwerte der permanenten Verkehrserhebung geben zudem Aufschluss über die Verkehrsentwicklung.


construction

fr: Construction, logement

de: Bau- und Wohnungswesen

spatial: Stadt Luzern

media_type: JSON

de: Brücken als json-Datei

protocol: WWW:DOWNLOAD:DXF (14)

de: Brücken als dxf-Datei

format: ZIP

media_type: GPKG

de: Brücken als Geopackage (.gpkg)

format: GPKG

de: Der Datensatz umfasst die Lage der städtischen Brücken inklusive Attribute wie Baujahr, Konstruktion etc. Es werden auch Daten für Unterhaltsarbeiten geführt (nur intern).

name: Geoinformationszentrum (GIS) Stadt Luzern

stadt-luzern

de: Stadt Luzern

de:
Die Stadt Luzern veröffentlicht hier schrittweise OGD-Datensätze der städtischen Dienstabteilungen. Mehr über «Open Government Data» bei der Stadt Luzern ist über den Link <www.ogd.stadtluzern.ch> zu erfahren.

Die Geometadaten zu den einzelnen OGD-Daten sind unter "Zusätzliche Informationen" als Link aufgeführt.
Zu beachten sind weitere Bestimmungen zum Datenschutz und Nutzungsbestimmungen gemäss OGD-Internetauftritt der Stadt Luzern.

political_level: commune

value: Stadt Luzern - Geocat Harvester

de: Brücken


agriculture

fr: Agriculture, sylviculture

de: Land- und Forstwirtschaft

en: Agriculture, forestry

it: Agricoltura, selvicoltura

geography

de: Geographie

territory

fr: Territoire et environnement

de: Raum und Umwelt

de: fruchtfolgeflache fff boden bodenschutz

label: Viewer und Download Portal

spatial: Kanton Zürich

fr: Fruchtfolgeflächen

de: Fruchtfolgeflächen

en: Fruchtfolgeflächen

it: Fruchtfolgeflächen

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

fr: Hinweiskarte für anthropogene Böden

de: Hinweiskarte für anthropogene Böden

en: Hinweiskarte für anthropogene Böden

it: Hinweiskarte für anthropogene Böden

fr: Die Karte gibt Auskunft über Lage, Umfang und Qualität der Fruchtfolgeflächen (FFF) im Kanton Zürich und konkretisiert die entsprechenden Festlegungen des kantonalen Richtplans (Stand 24. März 2014). Sie wurde gestützt auf die in den Jahren 2009 und 2010 durchgeführte Feldprüfung erarbeitet und dient als Grundlage für Massnahmen zum Erhalt des vom Bund vorgegebenen Mindestumfangs an FFF.

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


neophyten

geography

fr: Géographie

territory

en: Territory and environment

it: Territorio e ambiente

title_for_slug: neophyten

de: blume pflanze

de: Neophyten - Punkte als dxf-Datei

de: Neophyten - Fläche als json-Datei

de: Neophyten - Fläche als dxf-Datei

de: Neophyten - Fläche als Geopackage

de: Neophyten - Punkte als json-Datei

de: Neophyten - Punkte als Geopackage

de: Übersicht der Neophytenstandorte nach Art, Art des Lebensraums, Dichte des Bestandes.

de: Neophyten


maintainer: Geoinformationdienst

title_for_slug: Kennzahlen öffentliche Ladeinfrastruktur Elektromobilität

de: kennzahlen-ladeinfrastruktur-schweiz mobilitat e-mobilitat elektromobilitat energie geoinformation erneuerbare-energie bfe gis geodaten statistiken

fr: Chiffres-clés concernant l’infrastructure de recharge pour la mobilité électrique

en: Key figures about the charging infrastructure for electrical vehicles

it: Indicatori dell'infrastruttura di ricarica per veicoli elettrici

author: Geoinformationdienst

label: Documentation

fr: Frictionless datapackage

de: Frictionless datapackage

fr: Frictionless metadata datapackage. See https://frictionlessdata.io/

fr:
La mobilité électrique est une technologie essentielle pour assurer une mobilité plus durable. Elle contribue à l’atteinte des objectifs énergétiques et de politique climatique dans la mesure où les moteurs électriques sont efficaces sur le plan énergétique et où le recours à l’électricité permet d’utiliser une énergie renouvelable. La disponibilité de bornes de recharge publiques constitue un facteur de réussite déterminant pour la diffusion des voitures électriques. À cet effet, l’application https://je-recharge-mon-auto.ch indique en temps réel les bornes de recharge disponibles pour les véhicules électriques.

En Suisse, l’infrastructure de recharge pour les véhicules électriques ne cesse de s’étoffer. Pour documenter cette évolution, les données en temps réel disponibles sur https://je-recharge-mon-auto.ch sont régulièrement analysées et des chiffres-clés concernant l’infrastructure de recharge sont calculés. Ces derniers sont collectés quotidiennement et publiés chaque mois. La collecte a commencé en novembre 2020 et se poursuit actuellement. Les chiffres-clés sont collectés aussi bien à l’échelle nationale que cantonale. Une documentation détaillée est mise à disposition pour une meilleure compréhension des données.

Visualisation des chiffres clés : http://www.je-recharge-mon-auto.ch/statistiques

en:
Electric mobility is a key technology for more sustainable mobility and is one way of achieving ambitious energy and climate policy goals. Electric engines are efficient, and using electricity means that renewable energies can also be used. The availability of public charging stations is a critical factor in the success of the increasingly widespread use of electric cars, which is why https://www.recharge-my-car.ch displays charging station availability for electric vehicles in real time.

The charging infrastructure for electric vehicles in Switzerland is constantly being developed. We use real-time data from https://www.recharge-my-car.ch to regularly evaluate the ever-increasing number of charging stations, charging points, and types of plug in Switzerland. Since November 2020, this data has been and will continue to be collected on a daily basis for the whole of Switzerland and for the individual cantons, and then averaged each month. This gives an overview of how the charging infrastructure is expanding. Detailed documentation is available for a better understanding of the data.

Visualization of the key figures: http://www.recharge-my-car.ch/keydata

de:
Die Elektromobilität ist eine Schlüsseltechnologie für eine nachhaltigere Mobilität und trägt zur Erreichung ambitionierter energie- und klimapolitischer Ziele bei, da Elektroantriebe effizient sind und der Einsatz von Strom die Nutzung erneuerbarer Energien erlaubt. Ein wichtiger Erfolgsfaktor für die Verbreitung von Elektroautos ist die Verfügbarkeit von öffentlichen Ladestationen. Deshalb zeigt https://ich-tanke-strom.ch die Verfügbarkeit von Ladestationen für Elektrofahrzeuge in Echtzeit an.

Die öffentliche Ladeinfrastruktur für Elektrofahrzeuge in der Schweiz wird stetig ausgebaut. Um diese Entwicklung zu dokumentieren, werden die Echtzeit-Daten von https://ich-tanke-strom.ch regelmässig ausgewertet und Kennzahlen zur Ladeinfrastruktur abgeleitet. Die Kennzahlen werden täglich erhoben und anschliessend pro Monat gemittelt. Die Erhebung startete im November 2020 und wird laufend weitergeführt. Die Kennzahlen werden für die ganze Schweiz sowie für die einzelnen Kantone erhoben. Für das bessere Verständnis der Daten steht eine detaillierte Dokumentation bereit.

Visualisierung der Kennzahlen: http://www.ich-tanke-strom.ch/kennzahlen

it:
La mobilità elettrica è una tecnologia chiave per una mobilità più sostenibile e contribuisce al raggiungimento di ambiziosi obiettivi di politica energetica e climatica: infatti, i veicoli a propulsione elettrica sono efficienti e l'impiego dell'elettricità permette l'utilizzo di energie rinnovabili. Un importante fattore di successo per la diffusione delle auto elettriche è la disponibilità di stazioni di ricarica pubbliche. Per questo motivo, la piattaforma https://pieno-di-elettricita.ch mostra in tempo reale la disponibilità delle stazioni di ricarica per veicoli elettrici.

L'infrastruttura di ricarica per veicoli elettrici in Svizzera viene costantemente ampliata. Per documentare questo sviluppo, i dati in tempo reale di https://pieno-di-elettricita.ch vengono valutati regolarmente e da essi vengono ricavati gli indicatori dell'infrastruttura di ricarica. Tali indicatori sono rilevati quotidianamente per l'intera Svizzera e per i singoli Cantoni, e se ne calcola la media mensile. Il rilevamento ha avuto inizio nel novembre 2020 ed è ancora in corso. Per una migliore comprensione dei dati, è disponibile una documentazione dettagliata.

Visualizzazione degli indici: http://www.pieno-di-elettricita.ch/indici

energy

fr: Energie

de: Energie

en: Energy

it: Energia

industry

fr: Industrie, services

de: Industrie, Dienstleistungen

en: Industry and services

it: Industria, servizi

mobility

fr: Mobilité et transports

de: Mobilität und Verkehr

en: Mobility and Transport

it: Mobilità e trasporti

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).


maintainer: Anita Risch

en: exclusion subalpine ecosystem-functions ecosystem-multifunctionality vertebrates grassland invertebrates ecosystem-coupling swiss-national-park grazing

en: Datafile

en:
ID: Plot ID composited of Fence & Treatment number (90 plots total)

Grassland: Name of the six subalpine grasslands where the exclosure setups were erected. In large grasslands (GRIM, MING, STAB), we established four hierarchical exclosure setups (two in short- and two in tall-grass vegetation), whereas in the small grasslands (BOTS, DADA, MARG) only one setup was erected per vegetation type. BOTS = Val dal Botsch, GRIM = Grimmels, MING = Val Mingér, STAB = Alp Stabelchod, DADA = Stabelchod da daint, MARG = Margunet

Fence: Number of exclosure setup (1 - 18). Note that uneven numbers (1,3,5,7,9,11,13,15,17) represent setups established on short-grass vegetation, even numbers (2,4,6,8,10,12,14,16,18) setups established in tall-grass vegetation
Vegetation	Vegetation type, 1 = short-grass vegetation, 2 = tall-grass vegetation; (9 replicate fences on each vegetation type)
Treatment	Progressive animal exclusion, numbers indicate which animals had access to the plot: 1 = Large/medium/small mammals, and invertebrates have access ("L/M/S/I"), 2 = Medium/small mammals, and invertebrates have access (“M/S/I”), 3 = Small mammals and invertebrates have access (“S/I”), 4 = Invertebrates have access (“I”), 5 = No animals have access (“None”)

Bulkden:	Fine fraction soil bulk density (g cm-3)

Soil.moist	: Soil moisture (%)

Soil.org.C: Rhizosphere soil C content (%)

pH: Soil pH

Nema.PC1: First principal component (PC1) of principal component analysis (PCA) of the soil nematode community composition

Nema.PC2: Second principal component (PC2) of principal component analysis (PCA) of the soil nematode community composition

Micro.PC1: 	First principal component (PC1) of principal component analysis (PCA) of the soil microbial community composition

Micro.PC2: Second principal component (PC2) of principal component analysis (PCA) of the soil microbial community composition

Abv.Inv.PC1: First principal component (PC1) of principal component analysis (PCA) of the aboveground-dwelling invertebrate community composition

Abv.Inv.PC2: Second principal component (PC2) of principal component analysis (PCA) of the aboveground-dwelling invertebrate community composition

Arthr.PC1: First principal component (PC1) of principal component analysis (PCA) of the soil arthropod community composition

Arthr.PC2: Second principal component (PC2) of principal component analysis (PCA) of the soil arthropod community composition

Plant.PC1: First principal component (PC1) of principal component analysis (PCA) of the plant community composition

Plant.PC2: Second principal component (PC2) of principal component analysis (PCA) of the plant community composition

Root.biomass: Root biomass (g m-2)

Micro.biomass	: Microbial biomass carbon (mg kg-1)

Plant.richness: Plant species richness

Plant.N: Plant tissue nitrogen content (%)

Soil.N.min: Soil net nitrogen mineralisation (kg ha-1 season)

Soil.resp: Soil carbon dioxide emissions (soil respiration; g m-2 h-1)

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

Paper Citation:
 > Risch AC, Ochoa-Hueso R, van der Putten WH, Bump JK, Busse MD, Frey B, Gwiazdowicz DJ, Page-Dumroese DS, Vandegehuchte ML, Zimmermann S, Schütz M. Size-dependent loss of aboveground animals differentially affects grassland ecosystem coupling and functions. 2018. Nature Communications 9: 3684. [doi: 10.1038/s41467-018-06105-4](https://doi.org/10.1038/s41467-018-06105-4).

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

#Methods
Study sites
The experimental exclosure setups were installed within the SNP (IUCN category Ia preserve; Dudley 2008), in south-eastern Switzerland. The park covers 172 km2 of forests and subalpine and alpine grasslands along with scattered rock outcrops and scree slopes. The entire area has been protected from human impact (no hunting, fishing, camping or off-trail hiking) since 1914. Large, fairly homogenous patches of short- and tall-grass vegetation, which originate from different historical management and grazing regimes, cover the park’s subalpine grasslands entirely. Short-grass vegetation developed in areas where cattle used to rest (nutrient input) prior to the park’s foundation (14th century to 1914) (Schütz and others 2003, 2006) and is dominated by lawn grass species such as Festuca rubra L., Briza media L. and Agrostis capillaris L. (Schütz and others 2003, 2006). Today, this vegetation type is intensively grazed by diverse vertebrate and invertebrate communities that inhabit the park and consume up to 60% of the available biomass (Risch and others 2013). Tall-grass vegetation developed where cattle formerly grazed, but did not rest, and is dominated by rather nutrient-poor tussocks of Carex sempervirens Vill. and Nardus stricta L. (Schütz and others 2003, 2006). This vegetation type receives considerably less grazing, with only roughly 20% of the biomass consumed (Risch and others 2013). Consequently, the two vegetation types together represent a long-term trajectory of changes in grazing regimes. Underlying bedrock of all grasslands is dolomite, which renders these grasslands rather poor in nutrients regardless of former and current land-use regimes.
Experimental design
To progressively exclude aboveground vertebrate and invertebrate animals, we established 18 size-selective exclosure setups (nine in short-grass, nine in tall-grass vegetation) distributed over six subalpine grasslands across the SNP (Risch and others 2013, 2015). Elevation differences of exclosure locations did not exceed 350 m (between 1975 and 2300 m a.s.l.). The exclosures were established immediately after snowmelt in spring 2009 and were left in place for five consecutive growing seasons (until end of 2013). They were, however, temporarily dismantled every fall (late October after first snowfall) to protect them from avalanches. They were re-established in the same location every spring immediately after snowmelt. Each size-selective exclosure setup consisted of five plots (2 x 3 m) that progressively excluded aboveground vertebrates and invertebrates from large to small. The plots are labelled according to the guilds that had access to them “L/M/S/I”, “M/S/I”, “S/I”, “I”, “None”; L = large mammals, M = medium mammals, S = small mammals, I = invertebrates, None = no animals had access. As we only had permission to have the experimental setup in place for five consecutive growing seasons, the experiment had to be completely dismantled in the late fall of 2013 and all material removed from the SNP.
Our exclosure design was aimed at excluding mammalian herbivores, but naturally also excluded the few medium and small mammalian predators, as well as the entire aboveground invertebrate food web. A total of 26 large to small mammal species can be found in the SNP, but large apex predators are missing (wolf, bear, lynx) . Reptiles, amphibians and birds are scarce to absent in the subalpine grasslands under study. Only two reptile species occur in the park and they are confined to rocky areas that warm up enough for them to survive. One frog species spawns in an isolated pond far from our grasslands. Only three bird species occasionally feed on the subalpine grasslands. Using game cameras (Moultrie 6MP Game Spy I-60 Infrared Digital Game Camera, Moultrie Feeders, Alabaster, AL, USA), we did observe that the medium- and small-sized mammals (marmot/hares and mice) were not afraid to enter the fences and feed on their designated plots. We never spotted reptiles, amphibians or birds on camera. We distinguished between 59 higher aboveground-dwelling invertebrate taxa that our size-selective exclosures excluded (see also methods for aboveground-dwelling invertebrates below).
The “L/M/S/I” plot (not fenced) was located at least 5 m from the 2.1 m tall and 7 x 9 m large main electrical fence that enclosed the other four plots. The bottom wire of this fence was mounted at 0.5 m height and was not electrified to enable safe access for medium and small mammals, while fencing out the large ones. Within each main fence, we randomly established four 2 x 3 m plots separated by 1-m wide walkways from one another and from the main fence line: 1) the “M/S/I” plots were unfenced, allowing access to all but the large mammals; 2) the “S/I” plots (10 x 10 cm electrical mesh fence) excluded all medium-sized mammals. Note that the bottom 10 cm of this fence remained non-electrified to enable safe access for small mammals; 3) the “I” plots (2 x 2 cm metal mesh fence) excluded all mammals. We double-folded the mesh at the bottom 50 cm to reduce the mesh size to smaller than 1 x 1 cm openings; and 4) the “None” plots were surrounded by a 1 m tall mosquito net (1.5 x 2 mm) to exclude all animals. The top of the plot was covered with a mosquito-meshed wooden frame mounted to the corner posts (roof). We treated these plots a few times with biocompatible insecticide (Clean kill original, Eco Belle GmbH, Waldshut-Tiengen, Germany) to remove insects that might have entered during data collection or that hatched from the soil, but amounts were negligible and did not impact soil moisture conditions within these plots.
To assess whether the design of the “None” exclosure (mesh and roof) affected the response variables within the plots and, therefore, influenced the results, we established an additional six “micro-climate control” exclosures (one in each of the six grasslands) (Risch and others 2013, 2015). These exclosures were built as the “None” exclosures but were open at the bottom (20 cm) of the 3-m side of the fence facing away from the prevailing wind direction to allow invertebrates to enter. A 20-cm high and 3-m long strip of metal mesh was used to block access to small mammals. Thus, this construction allowed a comparable micro-climate to the “None” plots, but also a comparable feeding pressure by invertebrates to the “I” plots. We compared various properties within these exclosures against one another to assess if our construction altered the conditions in the “None” plots. We showed that differences in plant (e.g., vegetation height, aboveground biomass) and soil properties (e.g., soil temperature, moisture) found between the “I” and the “None” treatments were not due to the construction of the “None” exclosure, but a function of animal exclusions, although the amount of UV light reaching the plant canopy was significantly reduced (Risch and others 2013).
Aboveground invertebrate sampling
Aboveground invertebrates were sampled with two different methods to capture both ground- and plant-dwelling organisms: 1) we randomly placed two pitfall traps (67 mm in diameter, covered with a roof) filled with 20% propylene glycol in one 1 x 1 m subplot of the 2 x 3 m treatment plots in spring 2013 (May) and emptied them every two weeks until late September 2013 (Vandegehuchte and others 2017b, 2018). A pitfall trap consisted of a plastic cylinder (13 cm depth, 6.75 cm diameter). Within each cylinder we placed a 100 ml plastic vial with outer diameter 6.70 cm and on top of the cylinder we placed a plastic funnel to guide the invertebrates into the vials. Each trap was cover with a cone-shaped and transparent plastic roof to protect the trap from rain (Vandegehuchte and others 2017b, 2018). Note that in the “None” plots only one trap was placed as control to check for effectiveness of the exclosure. 2) We vacuumed all invertebrates from a 60 x 60 cm area on another 1 x 1 m subplot with a suction sampler (Vortis, Burkhard manufacturing CO, Ltd., Rickmansworth, Hertfordshire, UK) every month from June to September 2013 (Vandegehuchte and others 2017b, 2018). For this purpose, we quickly placed a square plastic frame (60 x 60 x 40 cm) with a closable mosquito mesh sleeve attached to the top edge into the plot from the outside. The suction sample was then inserted into through the sleeve and operated for 45 s to collect the invertebrates (Vandegehuchte and others 2017b, 2018).
We sorted the ≈100 000 individuals collected with both methods by hand and identified each individual morphologically to the lowest taxonomic level feasible (59 taxa, including orders, suborders, subfamilies, families; phylum for Mollusca). These taxa belonged to the following feeding types: 19 herbivores, 16 detritivores, 9 predators, 8 mixed feeders, 5 omnivores and 2 non-classified feeders (or not feeding as adults) (Vandegehuchte and others 2017b). We summed the numbers from the two pitfall traps and the suction sampling over the course of the 2013 season to represent the aboveground invertebrate abundance and community composition of a plot. Note: we did not specifically attempt to catch flying invertebrates with e.g., sticky traps, thus a few flying insects may have been missed with our vacuum sampling approach.
Sampling of plant properties
The vascular plant species composition was assessed at peak biomass every summer (July) by estimating the frequency of occurrence of each species with the pin count method in each plot (Frank and McNaughton 1990). A total of 172 taxa occurred within our 90 plots and we calculated plant species richness for each plot separately. We used the 2013 data in this study. Plant quality was assessed every year in July and September; here we use plant quality at the end of the experiment (September 2013). Two 10 x 100 cm wide strips of vegetation per plot were clipped, combined, dried at 65°C, and ground (Pulverisette 16, Fritsch, Idar-Oberstein, Germany) to pass through a 0.5 mm sieve. Twenty randomly selected samples across all treatments were analysed for N (Leco TruSpec Analyser, Leco, St. Joseph, Michigan, USA) (Vandegehuchte and others 2015). Nitrogen concentrations of the other samples were then estimated from models established for the experiment and the entire SNP relating Fourier transform-near infrared reflectance (FT-NIR) spectra to the measured values of N using a multi-purpose FT-NIR spectrometer (Bruker Optics, Fällanden, Switzerland) (Vandegehuchte and others 2015). Root biomass was sampled every fall by collecting five 2.2 cm diameter x 10 cm deep soil samples (Giddings Machine Company, Windsor, CO, USA) per plot (450 samples year-1). The samples were dried at 30 °C and roots were sorted from the sample by hand. We sorted each sample for 1 h which allowed to retrieve over 90% of all roots present in the samples (Risch and others 2013). The roots were then dried at 65 °C for 48 and weighed to the nearest mg. We averaged the values per plot and used the 2013 data only in this study.
Sampling of edaphic communities
In 2009, 2010, and 2011 we collected three composited soil samples (5 cm diameter x 10 cm depth; AMS Samplers, American Falls, ID, USA) and assessed bacterial community structure using T-RFLP profiling (Liu and others 1997; Blackwood and others 2003; Hodel and others 2014). We detected a total of 89 operational taxonomic units (OTUs). These values are in accordance with other studies reporting OTU richness (Wirthner and others 2011; Zumsteg and others 2012; Meola and others 2014) using T-RFLP profiling, a method that detects the most abundant, and thus likely, the most relevant, taxa. We averaged the data over the three years of collections for our calculations. Microbial biomass carbon (MBC) was determined with the substrate-induced method (Anderson and Domsch 1978) every fall (September) between 2009 and 2013 by collecting three mineral soil samples (5 cm diameter × 10 cm mineral soil core, AMS Samplers, American Falls, ID, USA). The three samples were combined (90 samples for each sampling year), immediately put on ice, taken to the laboratory, passed through a 2-mm sieve and stored at 4°C. Again, we only used the 2013 data in this study.
Soil samples (5 cm diameter x 10 cm depth) to extract soil arthropods were collected in June, July, and August 2011 with a soil corer lined with a plastic sleeve to ensure an undisturbed sample (total of 270 samples). The plastic line core was immediately sealed on both ends using cling film and put into a cooler. All plots were sampled within three days and the extraction of arthropods started the evening of the sampling day using a high-gradient Tullgren funnel apparatus (Crossley and Blair 1991; Vandegehuchte and others 2015). Samples were kept in the extractor for four days and the soil arthropods were collected in 95% ethanol. All individuals were counted and each individual was identified morphologically to the lowest level feasible [76 taxa, including orders, suborders, subfamilies, families (Protura, Thysanoptera, Aphidina, Psylina, Coleoptera, Brachycera, Nematocera, Auchenorryncha, Heteroptera, Formicidae); sub-phylum for Myriapoda, for Acari and Collembola also including morpho-species). Note that we also included larval stages (nine of the 76 taxa) (Vandegehuchte and others 2015). All data were summed over the season. A detailed species list for mites and collembolans is published (Vandegehuchte and others 2017a) [https://doi.org/10.1371/journal.pone.0118679.s001]. Earthworms are rare in the SNP and therefore were not included. We collected eight random 2.2 cm diameter x 10 cm deep soil cores from each plot in September 2013 to determine the soil nematode community composition. The samples were mixed and the nematodes were extracted from 100 ml of fresh soil using Oostenbrink elutriators (Oostenbrink 1960). All nematodes in a 1 ml of the 10 ml extract were counted, a minimum of 150 individuals sample-1 were identified to genus or family level using (Bongers 1988), the numbers of all nematodes were extrapolated to the entire sample and expressed for a 100 g dry sample. In total we identified 63 genus or family levels (Vandegehuchte and others 2015). The list of all the nematodes found is published (Vandegehuchte and others 2015) [http://www.oikosjournal.org/appendix/oik-03341] or DOI: [doi: 10.1111/oik.03341].
We are aware that sampling soil microbes from 2009 to 2011 and soil arthropods in 2011 was not ideal, but we are positive that this does not bias the results. Most of the parameters measured in our experiment either already showed a treatment response after the first growing season (e.g., plant biomass) or did not respond over the entire time experiment (e.g., microbial biomass C). The microbial community composition (2009 – 2011) was highly influenced by inter-annual differences in temperature and precipitation, but did not differ between treatments or vegetation types (Hodel and others 2014). We therefore felt comfortable using the 2009 through 2011 data for describing the soil microbial community in our experimental treatments. Similarly, we are positive that our soil arthropod data are representative. We did assess soil arthropods in August 2012 and found no differences to the August 2011 data. However, we did not feel comfortable combining the 2011 June, July, August data with only August data for 2012 for our analyses.
Sampling of soil properties
We collected three soil samples (5 cm diameter x 10 cm depth) in each plot in September 2013 after removing the vegetation. First, we collected the top layer of mineral soil rich in organic matter, the surface organic layer or rhizosphere, typically 1 to 3 cm in depth with a soil corer (AMS Samples, American Falls, Idaho, USA). Second, we collected a 10 cm mineral soil core beneath this surface layer. The cores for each layer were composited, dried at 65 °C for 48 h and fine-ground to pass a 0.5 mm screen. We then analysed all samples for total C using a Leco TruSpec Analyser (Leco, St. Joseph, Michigan, USA). Mineral soil pH was measured potentiometrically in 1:2 soil:CaCl2 solution with an equilibration time of 30 min.
Soil net N mineralisation was assessed during the 2013 growing season (Risch and others 2015). For this purpose, we randomly collected a 5 cm diameter x10 cm deep soil sample with a soil corer (AMS Samples, American Falls, Idaho, USA) after clipping the vegetation in June 2013. After weighing and sieving (4 mm mesh) the soil, we extracted a 20 g subsample in 1 mol l-1 KCl for 1.5 h on an end-over-end shaker and thereafter filtered it through ashless folded filter paper (DF 5895 150, ALBET LabScience, Hahnenmühle FineArt GmbH, Dassel, Germany). From these filtrates NO3- concentrations were measured colorimetrically (Norman and Stucki 1981) and NH4+with flow injection analysis (FIAS 300, Perkin Elmer, Waltham Massachusetts, USA) (Risch and others 2015). We dried the rest of the sample 105 °C to constant mass to determine fine,fraction bulk density. A second soil sample was collected within each plot in June 2013 with a corer lined with a 5 x 13 cm aluminium cylinder. The corer was driven 11.5 cm deep into the soil so that the top 1.5 cm of the cylinder remained empty. Into this space we placed a polyester bag (250 µm) filled an ion-exchanger resin to capture the incoming N. The bag was filled with a 1:1 mixture of acidic and alkaline exchanger resin (ion-exchanger I KA/ion exchanger IIIAA, Merck AG, Darmstadt, Germany). We then removed 1.5 cm soil at the bottom of the cylinder and placed a second resin exchanger bag into this space to capture the N leached from the soil column. To assure that the exchange resin was saturated with H+ and Cl- prior to filling the bags, the mixture was stirred with 1.2 ml l-1 HCl for 1 h and then rinsed with demineralized water until the electrical conductivity of the water reached 5 µm cm-1. The cylinder with the resin bags in place was reinserted into the soil with the top flush to the soil surface and incubated for three months. We recollected the cylinders in September 2013. Each resin bag and 20 g of sieved soil (4 mm mesh) from each cylinder were then separately extracted with KCl and NO3- and NH4+ concentrations were measured. Nitrate and NH4+ concentrations of all samples were then converted to a content basis by multiplying their values with fine fraction bulk density. Net N mineralisation was thereafter calculated as the difference between the N content of the samples collected at the end of the three-month incubation (including the N extracted from the bottom resin bag) and the N content at the beginning of the incubation (Risch and others 2015).
Soil CO2 emissions were measured every two weeks between 0900 and 1700 hrs from early May through late September 2013 with a PP-Systems SRC-1 soil respiration chamber (15 cm high, 10 cm diameter; closed circuit) attached to a PP-Systems EGM-4 infrared gas analyser (PP-Systems, Amesbury, MA, USA) on two locations per plot (Risch and others 2013). The chamber was placed on randomly placed, permanently installed PVC collars (10 cm diameter) driven 5 cm into the soil at the beginning of the study (Risch and others 2013). Freshly germinated plants growing within the collars were removed prior to each measurement to avoid measuring plant respiration or photosynthesis. The two measurements collected per plot and sampling date were averaged.
Soil moisture (with time domain reflectometry; Field-Scout TDR-100, Spectrum Technologies, Plainfield, Illionois, USA) and temperature (with a waterproof digital pocket thermometer; Barnstead International, Dubuque, Iowa, USA) were measured at five random locations per plot every two weeks during the growing seasons during the experiment for the 0 to 10 cm depth (Risch and others 2013, 2015). As soil moisture and soil temperature were highly negatively correlated (Risch and others 2013), we only used soil moisture for this study. We used plot-level averages of all values available to capture soil moisture variability during the five years of the experiment. The results remained unchanged when we only used soil moisture from the 2013 growing season.
Numeral calculations and statistical analyses
Ecosystem coupling. We conducted principal component analyses (PCAs; unscaled) at the complete dataset level using the abundances of each taxonomical entity to describe each of the five different communities used in this study: aboveground-dwelling invertebrates, vascular plants, soil microorganisms, soil arthropods and soil nematodes. We retained the first two components (PCA axis 1 and PCA axis 2) of each analysis as we found them to adequately represent the temporal and spatial variability of our 90 treatment plots in previous studies55,67. Together they explained a total of 71.70% of the variation for aboveground invertebrates, 44.36% for plants, 44.85% for soil microorganisms, 61.85% for soil arthropods and 77.19% for soil nematodes. In addition, we used soil pH and soil organic C content as a proxy for soil chemical properties, soil bulk density as a proxy for soil physical properties and soil moisture (negatively correlated with soil temperature) as a proxy for soil micro-climatic conditions for an overall total of fourteen constituents.
We calculated ecosystem coupling9 for each exclosure treatment within each vegetation type (i.e., 2  5 treatment combinations in total) as an integrated measure of pairwise ecological interactions between ecosystem constituents representing ecological communities and the soil abiotic environment. These ecological interactions are defined by non-parametric Spearman rank correlation analyses between two constituents, excluding interactions involving two abiotic constituents (e.g., soil pH vs. soil moisture) and interactions between the first (PC1) and second (PC2) component of each community type, as these are orthogonal by definition. Interactions between abiotic constituents were excluded from the analyses because the focus of our study was on communities and how they interact with one another and their surrounding environment; therefore, including abiotic-abiotic interactions was not of interest here. Given that the effectiveness of our experimental design resulted in that no community composition data of aboveground-dwelling invertebrates was available for the “None” plots (all animals excluded), only thirteen instead of fourteen constituents were included in the ecosystem coupling calculations for this treatment. The complete absence of aboveground invertebrates represents the most extreme case of disturbance between aboveground animal communities and the rest of the ecosystem constituents. This may have resulted in a slight overestimation of ecosystem coupling for these plots.
	Average ecosystem coupling was calculated as follows:
Ecosystem coupling=
where Xi is the absolute Coupling was calculated value of the Spearman’s rho coefficient of the ith correlation for each treatment within each vegetation type (i.e., based on nine replicates each), considering and n is the number of pairwise comparisons considered (n = a total of 80; interactions (56 in the case of the “None” treatment). We considered a total of 40 biotic-biotic interactions (i.e., concerning two community-level principal components such as plants and microbes; 24 in the case of the “None” treatment) and 40 abiotic-biotic (i.e., concerning one community-level principal component and one abiotic factor, e.g., plant community and soil properties; 32 in the case of the “None” treatment).	Coupling was calculated for each treatment within each vegetation type (i.e., based on nine replicates each), considering a total of 80 interactions (56 in the case of the “None” treatment). We considered a total of 40 biotic-biotic interactions (i.e., concerning two community-level principal components such as plants and microbes; 24 in the case of the “None” treatment) and 40 abiotic-biotic (i.e., concerning one community-level principal component and one abiotic factor, e.g., plant community and soil properties; 32 in the case of the “None” treatment).
To establish whether constituents were significantly and positively coupled within treatments (i.e., the average of their correlation coefficients were greater than in a null model where correlation only happens by chance), we calculated one-tailed p-values based on permutation tests with 999 permutations.

We considered six ecosystem functions and process rates commonly used to assess ecosystem functioning (Meyer and others 2015; Manning and others 2018). Plant N content represents a measure of forage quality, while plant richness has been shown to stabilise biomass production, thus allowing the system to respond to changes in herbivory. Soil net N mineralisation, soil respiration, root biomass, and microbial biomass represent fluxes or stocks of energy. For all functions and processes higher values represent higher functioning (Manning and others 2018). All these variables were measured in the last year of the experiment (2013). We then quantified ecosystem multifunctionality using the multiple threshold approach (Byrnes and others 2014; Manning and others 2018), which considers the number of functions that are above a certain threshold, over a series of threshold values (typically 10-99%) that are defined based on the maximum value of each function. We weighted all our functions equally for these calculations (Manning and others 2018). The number of functions in a plot with values higher than a given threshold value for the respective function is summed up. The sum represents ecosystem multifunctionality for that plot. Given that choosing any particular threshold as a measure of ecosystem multifunctionality is arbitrary, we calculated the average of thresholds from 10-90% (in 10% intervals) as a more integrated representation of ecosystem multifunctionality.
We used Pearson correlations to explore the relationships between ecosystem coupling (all interactions, biotic-biotic interactions, abiotic-biotic interactions involving above- and belowground constituents, and all interactions, biotic-biotic interactions, abiotic-biotic interactions involving belowground constituents only) and ecosystem multifunctionality by calculating the slopes of all relationships between ecosystem coupling and multifunctionality for all thresholds between 10 and 99%. We also related ecosystem coupling with the average of multifunctionality at thresholds between 30-80% as explained before and considered this correlation as a robust indication of the type of association between these two variables. In addition, we explored the relationships between ecosystem coupling (all interactions, biotic-biotic interactions, abiotic-biotic interactions involving above- and belowground constituents, and all interactions, biotic-biotic interactions, abiotic-biotic interactions involving belowground constituents only) and individual ecosystem functions. The effects of exclosures and vegetation type on individual functions and multifunctionality were evaluated using linear mixed effects models ('lme' function of the nlme package), with exclosure and vegetation type as fixed effects and fence as a random factor. All statistical analyses and numerical calculations were done in R version 3.4.0 (R Core Team 2016).

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it: EnviDat: il portale dei dati ambientali

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

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

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

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

political_level: other

value: Envidat Harvester

en: Ecosystem coupling and multifunctionality - exclosure experiment


maintainer: Michael Lehning

en: snow snow-cover snow-distribution alpine-precipitation snow-hydrology alpine3d alpine3d-simulations

en: ADS datasets and simulation inputs

media_type: application/zip

en: The file contains the ADS datasets of snow depth and input data used for simulations.

mimetype: application/zip

en:
Dataset (Model input, snow distribution and validation) for the precipitation scaling paper, which should be cited along with the data set citation.

This data is useful for distributed hydrological modelling or other tasks that involve the study of snow distribution and precipitation in the high Alpine.

The format of the data is for Alpine3D (models.slf.ch) model runs but other models could be used, too.

Please cite:

_Vögeli, C., Lehning, M., Wever, N., Bavay M., 2016: Scaling Precipitation Input to Spatially Distributed Hydrological Models by Measured Snow Distribution., Front. Earth Sci. 4: 108. doi: 10.3389/feart.2016.00108._

Dataset is provided as a single zip file.
The archive contains two directories, the valuable distributed snow depth maps for the landscape Davos and the simulation input.
The archive also contains the file: "ReadMeMetadataDataSetPrecipitationScaling" which explains the data structure.

alpine-precipitation

display_name: alpine-precipitation

snow

display_name: snow

snow-cover

display_name: snow-cover

snow-distribution

display_name: snow-distribution

snow-hydrology

display_name: snow-hydrology

en: Precipitation Scaling Data Set (Vögeli et al., Frontiers)


maintainer: Sven-Eric Hopf

en: monitoring forest ash-dieback iap fraxinus

en: Monitoring of ash trees as part of the Intercantonal Forest Observation Programme

media_type: .pdf

en: Packgroun information on data for the publication: Spread and Severity of Ash Dieback in Switzerland – Tree Characteristics and Landscape Features Explain Varying Mortality Probability, (Klesse et al. 2021, Front. For. Glob. Change 4:645920., doi: 10.3389/ffgc.2021.645920)

en:
In 2013, the Institute for Applied Plant Biology (IAP) started a monitoring programme to study the development and the spatial variation of the ash dieback disease with the aim to find some partially resistant European ash trees (Fraxinus excelsior).
We collaborate as co-authors for the publication: Spread and Severity of Ash Dieback in Switzerland - Tree Characteristics and Landscape Features Explain Varying Mortality Probability (Klesse et al. 2021 in frontiers)

ash-dieback

display_name: ash-dieback

forest

display_name: forest

fraxinus

display_name: fraxinus

iap

display_name: iap

monitoring

display_name: monitoring


maintainer: EnviDat Support

en: landscape-services land-use-change statistical-model land-use modeling urbanization switzerland

en: Data for Assessing potential landscape service trade-offs driven by urbanization in Switzerland

en:
The provided folder structure follows the set up of the scripts.
Data is only provided when it has been fully produced by us, otherwise dummies are given.
For data that will be produced by one of the scripts, no dummies are given.
The folders may contain sub-folders, which would be filled if the scripts were all run

 00_Analysis_Data
Data produced throughout the process of the calibration and projection that is later needed for analysis

 01_Raw_Data
Primary data from external sources that were used to compile the rasters and numbers used during the calibration and projection of landscape transitions as well as service calculation

 02_Prepared_Data
Data that will be prepared for further use by scripts are put in here
Additionally it contains the parameter sheets for the transition predictors that we compiled

 03_Model_Data
 Model outputs
Folder were the projection models statistics will be saved
 Models
Folder into which the actual transition models will be saved
 Residuals
Folder into which data on models residuals will be saved for future use

 04_Projected_Data
The output of the projections will be saved into this folder

 05_Service_Data
Any service calculations will be saved in here

 06_Results_Analysis
Any Analysis plots and tables as well as intermediate data will be saved here in the respective sub-folder

en: Scripts for Assessing potential landscape service trade-offs driven by urbanization in Switzerland

en:
Scripts ordered by their main purpose within sequential folders in this ReadMe marked with

Within the folders the capital letters refer to the parallel or sequential use of the scripts; scripts here in ReadMe are marked with

 00_Function Scripts
 Functions.r
Script containing several functions for analyzing statistical models: cohen.kappa, meva.table, D2, max-Tss, plot-TSS

 Service_functions.R
Script containing functions for calculating all services and returning sums (and median for bd and rec) as well as rasters

 01_Data Preparation
 A_AS_raster_preparation.R
Preparation of the land use rasters for the years 1985, 1997, and 2009 based on the original Arealstatistik (AS/ASCH); Assigning our categories and assining new values to all "construction sites" for calibrating the models
For model projection starting point (2009) and for service calculations (all ASCH years) the "other" categories were assigned to the land use categories based on dominant neighbor, so that there were no empty cells
Creation of water & mountainous area raster that stayed stable throughout the projections
Creation of MFH raster (2009), to have as base for all new projection years, as this category never becames any other

 B_Factors_preparation.R
Preparation of the factor rasters that were used to calculate service values per cell (see Table 2): LWfactor, Transportation, Vol, Rivers, Lakes, slope, TWW, Hazard_risk

 B_Predictors_preparation.R
Preparation of the raster of the predictors used for calibrating (ASCH years) and projecting (stable) the transition models that do not depend on the land use categories: Temperature (ASCH years), solar radiation (stable), Public transportation access (stable), Elevation (stable), Workers density (ASCH years), Population change (ASCH transitions)

 B_Regions_preparation.R
Preparation of bioregions as raster to be used to mask asxxxx later to calculated services and land use area just for one region

 C_Pred_proj.R
Projecting the dynamic predictors into the future for projecting the land use transitions with the model: Linear extrapolations for workers densities and population; more detailed extrapolation of temperature (based on data for all stations that matched between the temp table we used for the calibration period and the projections from CS2M, and then making a spatial interpolation for all years based on the interpolation of temperature for all years per station)

 02_Model calibration
 A_Bioreg_pred_corr.R
Calculating correlation between the predictors for each bioregion and land use category, Output are those with too high correlation so that one predictor can be removed from transitions were both predictors occur

 A_trans_numbers_bioreg.R
Calculate transition numbers for each bioregion to decide which transitions to primarily consider

 B_Bioreg_ext_eval.R
Calculating TSS based on the external evaluation for the bioregion transitions that happened often enough to try to model them (calibration data: 85-97, evaluation data: 97-09)

 B_Bioreg_int_eval.R
Calculating TSS based on the internal evaluation for the bioregion transitions that happened often enough to try to model them (calibration data: 70%, evaluation data: 30%)

 C_Bioreg_TSS_analysis.R
Extracting TSS numbers from internal and external evaluation, calculating mean and median for each transition for each region for each evaluation method and saving as csv per region to be able to select only the transitions with high enough model performance

 D_Bioreg_Models_for_prediction.R
Calibration of the models that were then used to project land use transitions into the future; calibrated separately for each bioregion

 E_Residuals_trans_models.R
Calculation of Moran's I statistics to analyze the residuals of the land use transition models

 03_Projections
 A_Bioreg_Projections_run.R
Master script for: Extrapolaitng into the future with the regional models and then assembling for each time step to calculate new AS predictors; Several Outputs: txt file to test for NAs in Predictors, txt file with random seed number for sampling, txt file with times for calculation steps (check progress of script while running), csv sheet with projected transition frequencies, tif-rasters for every region and time step, pdf with raster plot for every region and time step

 04_Service calculation
 A_Bioreg_as_services.R
Calculate services per bioregion for years 1985, 1997, 2009

 A_Service_calculation_bioregions.R
Extracting service numbers(sums) per bioregions for all projection runs and storing them in a list of matrixes to be available for further plotting; can be run for swiss wide projections or regional ones

 05_Analysis
 A_Bioreg_ASCH_development.R
Extracting the occurrence of each category per region for all runs (first part), then for ASCH years, and then plotting them nicely; only works for regional projections

 A_Bioreg_Predictors_importanceD2.R
Calculating D2 for each transition and each considered predictor from bivariate models to get value of importance

 B_Bioreg_Pred_imp_analysis.R
Using calculated D2 to sort Predictors according to their importance for each transition

 A_Bioreg_Spatial_results_analysis.R
Plotting randomly sampled runs for ASCH and services to analyses their spatial development

 A_Bioreg_Transition_numbers_check_v1.R
Analyzing the frequency for all transitions for all regions and producing the point plots for each transition separately

 A_Bioreg_Transition_numbers_check_v2.R
Analyzing percentage and numbers of all transitions but plotting them per region and originating ASCH category

 B_Transition_Analysis.R
Further Analysis of transition numbers

 A_Service_analysis.R
Plotting of the service development for bioregions in several ways for analyzing

en:
Data and scripts of publication:

Madleina Gerecke, Oskar Hagen, Janine Bolliger, Anna M. Hersperger, Felix Kienast, Bronwyn Price, Loïc Pellissier (2019) Assessing potential landscape service trade-offs driven by urbanization in Switzerland. Palgrave communications.

Contains land use projections for Switzerland and scripts and data for these projections as well as the calculation of landscape services.

Data Folder:
Contains sub-folder with the data necessary for this study (provided were no copyright issues, otherwise placeholders with descriptions), and folders where produced data may be stored

Scripts Folder:
Contains scripts organized into subfolders depending on their purpose

Note: Some abbreviations within the scripts and data are derived from German words and not English.

land-use

display_name: land-use

land-use-change

display_name: land-use-change

landscape-services

display_name: landscape-services

modeling

display_name: modeling

statistical-model

display_name: statistical-model

switzerland

display_name: switzerland

urbanization

display_name: urbanization

en: Land use projections and services for Switzerland


lwf-tea-bag-sites

maintainer: Marcus Schaub

title_for_slug: lwf-tea-bag-sites

en: verification forest decomposition tea-bag modeling roiboos litter carbon green-tea

en: Site Information

en: Descriptive information on sites

en:
Decomposition of plant litter is a key process for the transfer of carbon and nutrients in ecosystems. Carbon contained in the decaying biomass is released to the atmosphere as respired CO2, and may contribute to global warming. Litterbag studies have been used to improve our knowledge of the drivers of litter decomposition, but they lack comparability because litter quality is plant species-specific. The use of commercial tea bags as a standard substrate was suggested in order to harmonize studies, where green tea and rooibos represent more labile and more recalcitrant C compounds as surrogates of local litter.
The tea bag approach was implemented on eight sites of the Swiss long-term Forest Ecosystem Research (LWF) network (https://www.wsl.ch/LWF). This allowed us to take advantage from the existing infrastructure and data from a previous litterbag study with local litter. In Beatenberg and Schaenis, additional elevation transects were established (1200-1800 m and 540-1150 m, respectively) to examine particularly the effect of temperature on decomposition. In Pfynwald (https://www.wsl.ch/de/ueber-die-wsl/versuchsanlagen-und-labors/flaechen-im-wald/pfynwald.html) and Salgesch, infrastructure of running projects was used to examine the effect of drought and understory removal, respectively. In Novaggio, tea bags were incubated in summer and winter to study the effect of seasonality particularly precipitation. Tea bags are collected after 3, 12, 24, and 36 months; for the two time-shifted experiments additionally after 6 and 9 months.
The study has two primary objectives. Firstly, it contributes to TeaComposition initiative (http://teacomposition.org/) which aims at investigating long-term litter decomposition and its key drivers at present as well as under different future climate scenarios using a common protocol and standard litter (tea) across nine terrestrial biomes. Secondly, the data are used to further develop decomposition models such as Yasso (http://en.ilmatieteenlaitos.fi/yasso) which is used by several countries, including Switzerland to estimate the annual carbon fluxes in dead wood, litter, and soil for reporting in National Greenhouse Gas Inventories under the United Nations Framework Convention on Climate Change and the Kyoto Protocol.

carbon

display_name: carbon

decomposition

display_name: decomposition

green-tea

display_name: green-tea

litter

display_name: litter

roiboos

display_name: roiboos

tea-bag

display_name: tea-bag

verification

display_name: verification

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal

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

en: LWF-Tea bag sites