envi

fr: Environnement

de: Umwelt

en: Environment

it: Ambiente

de: bodennutzung bodenbedeckung vegetation bgdi-bundesgeodaten-infrastruktur luftbild

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: Geodata (csv)

de: Geodata (csv)

en: Geodata (csv)

it: Geodata (csv)

fr: Liste des variables

de: Variablenliste

en: List of variables

fr: Service WMS-IFDG, couche "Statistique de la superficie standard"

de: WMS-BGDI Dienst, Layer "Arealstatistik Standard"

en: WMS-FSDI service, layer "Land use statistics standard"

it: Servizio WMS-IFDG, strato "Statistica della superficie standard"

fr: Service WMTS-IFDG, couche , Layer "Statistique de la superficie standard"

de: WMTS-BGDI Dienst, Layer "Arealstatistik Standard"

en: WMTS-FSDI service, layer "Land use statistics standard"

it: Servizio WMTS-IFDG, strato "Statistica della superficie standard"

fr: Utilisation du sol selon 72 catégories de base, agrégées en 27 ou 17 classes et 4 domaines principaux, relevée par interprétation visuelle de points d’échantillonnage distants de 100m et affichés sur des images aériennes digitales en 3 dimensions. On relève de manière distincte depuis 1979 la couverture et l’utilisation du sol, de sorte que chaque point d'échantillonnage se voit assorti de deux codes. On peut ainsi soit considérer seuls le type de couverture ou le mode d'utilisation, soit combiner ces deux caractères. La nomenclature standard (NOAS04) selon 17 classes est représentée ici visuellement.

de: Bodennutzungsdaten nach 72 Grundkategorien, aggregiert in 27 oder 17 Klassen und 4 Hauptbereichen, erhoben durch visuelle Interpretation von Stichprobenpunkten eines regelmässigen 100m-Rasters auf dreidimensional dargestellten, digitalen Luftbildern. Die Bodenbedeckung und Bodennutzung werden seit 1979 getrennt erhoben, sodass pro Stichprobenpunkt zwei Informationen verfügbar sind, welche sowohl einzeln (als «reine» Nutzung und Bedeckung) als auch in nahezu beliebigen Kombinationen ausgewertet werden können. Die Standardnomenklatur (NOAS04) nach 17 Klassen wird hier visuell dargestellt.

en: Land use data in 72 basic categories, aggregated into 27 or 17 classes and 4 main categories, obtained by visual interpretation of sample points from a regular 100-metre grid on three-dimensional, digital aerial photographs. Land use and land cover are surveyed separately since 1979, making two items of information available for each sample point, which could be evaluated individually (as "pure" use and coverage) and in almost any combination. The standard nomenclature (NOAS04) according to 17 classes is shown here visually.

it: Utilisation du sol selon 72 catégories de base, 17 et 27 classes, et 4 domaines principaux, relevée par interprétation visuelle de points d’échantillonnage distants de 100m et affichés sur des images aériennes digitales en 3 dimensions. Pour la première fois, on relève de manière distincte la couverture et l’utilisation du sol , de sorte que chaque point d'échantillonnage se voit assorti de deux codes. On peut ainsi soit considérer seuls le type de couverture ou le mode d'utilisation, soit combiner ces deux caractères. La nouvelle nomenclature 2004 (NOAS04) compte 72 catégories de base, qui garantissent dans une large mesure la comparabilité avec la nomenclature 1992 (NOAS92).

fr: Statistique de la superficie selon nomenclature standard NOAS04

de: Arealstatistik nach Standardnomenklatur NOAS04

en: Land use statistics based on the standard nomenclature NOAS04

it: Statistica della superficie secondo la nomenclatura standard NOAS04


soci

fr: Population et société

de: Bevölkerung und Gesellschaft

en: Population and society

it: Popolazione e società

educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

en: Education, culture and sport

it: Istruzione, cultura e sport

regi

fr: Régions et villes

de: Regionen und Städte

en: Regions and cities

it: Regioni e città

de: erreichbarkeit dienstleistung unternehmen strassennetz bund bgdi-bundesgeodaten-infrastruktur

label: GEOSTAT est le centre de compétence pour la géoinformation et le traitement numérique des images digitales de l'OFS.

label: -- z. B. Link zu Fachportal, "-" in URL und Beschreibung einfügen falls nicht vorhanden --

label: geocat.ch permalink

state: active

type: dataset

fr: Aperçu map.geo.admin.ch

de: Vorschau map.geo.admin.ch

en: Preview map.geo.admin.ch

it: Previsione map.geo.admin.ch

format: SERVICE

fr: Service WMS-IFDG, couche "Accessibilité des restaurants"

de: WMS-BGDI Dienst, Layer "Erreichbarkeit von Restaurants"

en: WMS-FSDI service, layer "Accessibility of restaurants"

it: Servizio WMS-IFDG, strato "Accessibilità dei ristoranti"

format: WMS

fr: Service WMTS-IFDG, couche , Layer "Accessibilité des restaurants"

de: WMTS-BGDI Dienst, Layer "Erreichbarkeit von Restaurants"

en: WMTS-FSDI service, layer "Accessibility of restaurants"

it: Servizio WMTS-IFDG, strato "Accessibilità dei ristoranti"

format: WMTS

fr: Geodata (csv, Shapefile, GeoTIFF)

de: Geodata (CSV, GeoPackage, GeoTIFF)

en: Geodata (csv, Shapefile, GeoTIFF)

it: Geodata (csv, Shapefile, GeoTIFF)

format: HTML

protocol: WWW:DOWNLOAD:Text (.csv), semicolon sepatated

fr: La mesure, en terme de distance, de l'accessibilité aux services pour chaque hectare habité en Suisse fournit un large éventail d'informations statistiques sur l'accès aux biens, aux services et aux lieux de loisirs.   Un accès suffisant aux biens et services courants et d’usage quotidien, ainsi que l'accès à des lieux de loisirs tels que les forêts ou les rives des lacs sont d'une grande importance pour la qualité de vie. La mesure de l'accessibilité à ces services permet de quantifier ce phénomène. Pour mesurer cette accessibilité, la distance parcourue sur le réseau routier entre le lieu de résidence et l'emplacement du prestataire de services ou du lieu de loisir le plus proche est calculée. Les lieux de résidence ne sont pas considérés individuellement, mais sont agrégés par hectares habités.

de: Die Messung der Entfernung zu Dienstleistungen für jede bewohnte Hektare in der Schweiz stellt vielfältige statistische Informationen über den Zugang zu Gütern, Dienstleistungen sowie Rückzugsorten zur Verfügung.   Eine ausreichende Grundversorgung mit den im Alltag benötigten Gütern und Dienstleistungen sowie Zugang zu Rückzugsorten wie Seeufer oder Wälder, sind für die Lebensqualität von grosser Bedeutung. Die Berechnung der Erreichbarkeit zu diesen Dienstleistungen ist eine Methode um dieses Phänomen zu messen. Die Erreichbarkeit wird durch die auf dem Strassennetz zurückgelegte Distanz zwischen dem Wohnort und dem Standort des nächstgelegenen Dienstleisters, respektive des nächstgelegenen Rückzugsorts, operationalisiert. Dabei werden Wohnorte nicht individuell, sondern aggregiert nach bewohnten Hektaren, verwendet.

en: Measuring the distance to services for each inhabited hectare in Switzerland provides a wide range of statistical information on access to goods, services and recreation areas. Sufficient access to basic goods and services needed in everyday life, as well as access to places of retreat such as lakeshores or forests, are of great importance for the quality of life. The calculation of accessibility to these services is a method to measure this phenomenon. Accessibility is operationalised by the distance travelled on the road network between the place of residence and the location of the nearest service provider or the nearest recreation area. The places of residence are not considered individually, but are aggregated by inhabited hectares.

it: Misurare l'accessibilità dei servizi per ettaro abitato in Svizzera in termini di distanza fornisce un'ampia gamma di informazioni statistiche sull'accesso a beni, servizi e strutture per il tempo libero. Un accesso sufficiente ai beni e ai servizi quotidiani, così come l'accesso alle aree ricreative come le foreste o le rive dei laghi, è di grande importanza per la qualità della vita. Misurare l'accessibilità di questi servizi permette di quantificare tale fenomeno. Per misurare l' accessibilità, viene calcolata la distanza percorsa sulla rete stradale tra il luogo di residenza e la posizione del più vicino fornitore di servizi o luogo di svago.

spatial: Schweiz

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.

political_level: confederation

type: organization

approval_status: approved

value: BFS – Geocat Harvester

fr: Services à la population: accessibilité des restaurants

de: Dienstleistungen für die Bevölkerung: Erreichbarkeit von Restaurants

en: Service to the population: accessibility of restaurants

it: Servizio al pubblico: accessibilità dei ristoranti


gebrochene-gesteine-abbau

envi

fr: Environnement

de: Umwelt

en: Environment

it: Ambiente

title_for_slug: gebrochene-gesteine-abbau

label: Resources Information System

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: Service WMS-IFDG, couche "Pierres concassées: extraction"

de: WMS-BGDI Dienst, Layer "Gebrochene Gesteine: Abbau"

en: WMS-FSDI service, layer "Broken rock: mining"

it: Servizio WMS-IFDG, strato "Rocce frantumate: estrazione"

fr: Téléchargement (data.geo.admin.ch)

de: Download (data.geo.admin.ch)

en: Download (data.geo.admin.ch)

it: Download (data.geo.admin.ch)

fr: RESTful API de geo.admin.ch

de: RESTful API von geo.admin.ch

en: RESTful API from geo.admin.ch

it: RESTful API da geo.admin.ch

format: API

fr: Ce jeu de données montre les sites d'extraction et de traitement de granulats concassés en Suisse (en service ou désaffectés). Avec les granulats non concassés (gravier rond), les granulats concassés sont les matériaux de construction les plus extraits et utilisés en Suisse et dans le monde (ils sont utilisés en particulier pour la fabrication du béton). Compte tenu de leur importance pour l'infrastructure nationale des transports, les sites de production et d'extraction des roches dures sont reportés dans un jeu de données dédié (Hartstein: Produktions- und Abbaustandorte).

de: Dieser Datensatz zeigt die in Betrieb stehenden oder stillgelegten Abbau- und Produktionsstandorte von felsgebrochenen Gesteinskörnungen in der Schweiz. Felsgebrochene Gesteinskörnungen sind zusammen mit ungebrochenen Gesteinskörnungen (Rundkies) der am meisten abgebaute und verwendete Baurohstoff in der Schweiz und weltweit (sie werden insb. für die Herstellung von Beton eingesetzt). Angesichts ihrer Bedeutung für die nationale Verkehrsinfrastruktur, die Hartstein-Produktions- und Abbaustandorte werden in einem eigenen Datensatz angezeigt (Hartstein: Produktions- und Abbaustandorte).

en: This dataset shows the extraction and production sites of crushed-rock aggregates in Switzerland (in operation or decommissioned). Together with natural, uncrushed-rock aggregates (e.g. round gravel), crushed-rock aggregates are the most extracted and used construction raw material in Switzerland and worldwide (they are used in particular for the production of concrete). Given their importance for the national transportation infrastructure, the production and mining sites of hard rock aggregates are displayed in a dedicated dataset (Hartstein: Produktions- und Abbaustandorte).

it: Questo set di dati mostra i siti di estrazione e lavorazione di pietrisco frantumato in Svizzera (in funzione o dismessi). Il pietrisco frantumato è, insieme a quello non frantumato (ghiaia tonda), il materiale da costruzione più estratto e utilizzato in Svizzera e nel mondo (essi sono utilizzati in particolare per la produzione di calcestruzzo). Data la loro importanza per l'infrastruttura di trasporto nazionale, i siti di produzione e estrazione di rocce dure sono visualizzabili in un set di dati separato (Hartstein: Produktions- und Abbaustandorte).

name: Bundesamt für Landestopografie swisstopo

fr: Office fédéral de topographie swisstopo

en: Federal Office of Topography swisstopo

it: Ufficio federale di topografia swisstopo

fr: Le centre de compétence de la Confédération suisse pour les informations géographiques, c'est-à-dire pour la description, la représentation et l’archivage de données à référence spatiale.

de: Das Kompetenzzentrum der Schweizerischen Eidgenossenschaft für Geoinformation, d.h. für die Beschreibung, Darstellung und Archivierung von raumbezogenen Geodaten.

en: The centre of competence for the Swiss Confederation responsible for geographical reference data, for instance the description, representation and archiving of geographic spatial data.

it: Il centro d’eccellenza della Confederazione Elvetica per geoinformazione, cioè per la descrizione, rappresentazione e archiviazione dei dati georeferenziati (geodati).

value: Swisstopo - Geocat Harvester

fr: Granulats concassés

de: Felsgebrochene Gesteinskörnungen

en: Crushed-rock aggregates

it: Pietrisco frantumato


regi

fr: Régions et villes

de: Regionen und Städte

en: Regions and cities

it: Regioni e città

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: Gemäss Lärmschutz-Verordnung (LSV, SR 814.41) sind für alle Nutzungszonen Lärmempfindlichkeitsstufen zu erfassen. Es werden die Empfindlichkeitsstufen keine ES, ES I, ES II, ES III und ES IV unterschieden. Ausserdem können Teile von Nutzungszonen der ES I und der ES II der nächst höheren Stufe zugeordnet werden, wenn sie mit Lärm vorbelastet sind.

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: cours-deau etat-des-eaux

de: fliessgewasser gewasserzustand

en: watercourse water-status

it: corso-dacqua stato-delle-acque

url: https://geo.ur.ch/?layers=Gewässerzustand Ökomorphologie DÜFUR GEP

fr: Anhand der Ökomorphologie wird hier der Zustand der Urner Fliessgewässer und Seeufer dargestellt. Ab dem Massstab 1:10'000 werden dabei auch Bauwerke und Abstürze ersichtlich. Ab dem Massstab 1:100'000 sind zusätzlich die 40 Messstellen, an welchen Daten für das Projekt DÜFUR (Dauerüberwachung der Fliessgewässer in den Urkantonen und Luzern) erhoben werden, dargestellt und jeweils mit dem Standortdatenblatt verlinkt. Die Farbcodierung der Punkte beruht nur auf die Beurteilung des äusseren Aspekts - pflanzlicher Bewuchs. Weiter sind auch die GEP-Punkte abgebildet.


bienenstandorte

agri

fr: Agriculture, pêche, sylviculture et alimentation

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

en: Agriculture, fisheries, forestry and food

it: Agricoltura, pesca, silvicoltura e prodotti alimentari

title_for_slug: bienenstandorte

de: fauna landwirtschaft lebensraum wirtschaftliche-aktivitaten

protocol: https

de: Datenshop

de: Produktansicht Geodatenshop

de: Standorte der Bienenstöcke im Kanton Luzern. Dient unter anderem als Grundlage für die Bekämpfung von Tierseuchen.

spatial: Kanton Luzern

fr: Géoinformation du canton de Lucerne

de: Geoinformation Kanton Luzern

en: Geoinformation Canton of Lucerne

it: Geoinformazione del Cantone di Lucerna

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

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

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

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

value: LU-Kt - Geocat Harvester

de: Bienenstandorte


envi

fr: Environnement

de: Umwelt

label: Link zum Fachportal

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

de: Map (Preview) Vorschau 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"

de: Link zum Datenbezug

de: RESTful API von 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


regi

fr: Régions et villes

de: Regionen und Städte

envi

en: Environment

it: Ambiente

label: Link zur Fachportal

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

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

fr: Service WMS-IFDG, couche "Troncons d`effluents"

de: WMS-BGDI Dienst, Layer "Vorfluterabschnitte"

en: WMS-FSDI service, layer "Main river section"

it: Servizio WMS-IFDG, strato "Tratti di acque reflue"

fr: Service WMTS-IFDG, couche , Layer "Tronçons d'effluents"

de: WMTS-BGDI Dienst, Layer "Vorfluterabschnitte"

en: WMTS-FSDI service, layer "Main river section"

it: Servizio WMTS-IFDG, strato "Tratti di acque reflue"

fr: RESTful API de geo.admin.ch

en: RESTful API from geo.admin.ch

it: RESTful API da geo.admin.ch

fr: Le jeu de données « Tronçons d'effluents » est une partie du jeu de géodonnées de base « Bassins versants topographiques des eaux suisses ». L'effluent d'un bassin versant est le cours d'eau qui quitte ce dernier par son exutoire.

de: Der Datensatz ‹Vorfluterabschnitte› ist Teil des Geobasisdatensatzes ‹Topographische Einzugsgebiete Schweizer Gewässer›. Als Vorfluter eines Einzugsgebiets wird das Gewässer bezeichnet, welches das Einzugsgebiet durch den Gebietsauslass verlässt.

en: The data set “Main river section” is part of the geo dataset “Swiss water topographical catchment areas”. The main river in a catchment area is the body of water that leaves the catchment area through the area outlet.

it: Il set di dati "Tratti di acque reflue" fa parte del set di geodati di base "Bacini imbriferi topografici dei corsi d'acqua svizzeri". È detto tratto d'acqua reflua di un bacino idrografico è il corso d'acqua che lascia il bacino imbibifero attraverso lo sbocco della zona.

fr: Bassins versants topographiques des eaux suisses: Tronçons d'effluents

de: Topographische Einzugsgebiete Schweizer Gewässer: Vorfluterabschnitte

en: Swiss water topographical catchment areas: Main river section

it: Bacini imbriferi topografici dei corsi d'acqua svizzeri 40 km²: tratti di acque reflue


regi

en: Regions and cities

it: Regioni e città

fr: Service WMS-IFDG, couche "Bassins versants partiels 2km²"

de: WMS-BGDI Dienst, Layer "Teileinzugsgebiete 2 km²"

en: WMS-FSDI service, layer "2 km² sub catchment areas"

it: Servizio WMS-IFDG, strato "Bacini imbibiferi parziali 2 km²"

fr: Service WMTS-IFDG, couche , Layer "Bassins versants partiels 2km²"

de: WMTS-BGDI Dienst, Layer "Teileinzugsgebiete 2 km²"

en: WMTS-FSDI service, layer "2 km² sub catchment areas"

it: Servizio WMTS-IFDG, strato "Bacini imbibiferi parziali 2 km²"

fr: Le jeu de données « Bassins versants 2 km² » constitue l'élément central du jeu de géodonnées « Bassins versants topographiques des eaux suisses ». Il se compose d'une mosaïque de plus de 22 000 bassins versants partiels, délimités en fonction de la topographie et couvrant l'ensemble du territoire suisse. Grâce à leur structure hiérarchique, ces bassins versants partiels peuvent être aisément intégrés à un SIG et combinés pour former des bassins versants complets. Les polygones des bassins versants complets sont également disponibles gratuitement dans un jeu de données séparé. Ce produit dérivé du jeu de géodonnées de base comprend en outre une série de paramètres calculés décrivant la couverture du sol et la géographie physique. La visionneuse de cartes proposée par la Confédération (www.map.geo.admin.ch) permet d'afficher le bassin versant complet souhaité, en cliquant sur la couche correspondante, et de consulter diverses autres données pertinentes à son égard.

de: Der Datensatz ‹Teileinzugsgebiete 2 km²› ist das zentrale Element des Geobasisdatensatzes. Er besteht aus einem flächendeckenden Mosaik aus über 22'000 topographisch definierten Teileinzugsgebieten, die sich dank ihrer hierarchischen Struktur in jedem GIS rasch und einfach zu Gesamteinzugsgebieten kombinieren lassen. Die Polygone der Gesamteinzugsgebiete sind in einem separaten Datensatz ebenfalls frei erhältlich. Dieses Derivat des Geobasisdatensatzes beinhaltet zudem eine Reihe bereits berechneter Kennzahlen zur Bodenbedeckung und zur Physiogeographie. Im Kartenviewer des Bundes (www.map.geo.admin.ch) wird beim Anklicken des Layer das entsprechende Gesamteinzugsgebiet dargestellt. Verschiedene Kennzahlen dieses Gebiets sind im Weiteren einsehbar.

en: The data set ‹sub-basins 2 km²› is the central element of the geodata set. It is made up of a comprehensive mosaic of over 22,000 topographically defined sub-basin areas that can be quickly and simply combined with overall catchment areas in each GIS thanks to its hierarchical structure. The polygons in the overall catchment areas can be freely accessed in a separate data set. This derivative of a geo data set contains a series of already calculated figures for land cover and physical geography. The relevant overall catchment area is presented in the federal map viewer (www.map.geo.admin.ch) by clicking on the layer. Various figures in this region are also visible.

it: Il set di dati <Bacini imbibiferi parziali di 2 km²> è l'elemento centrale del set di geodati di base. Si tratta di un mosaico completo di oltre 22'000 bacini imbibiferi parziali topograficamente definiti che, grazie alla loro struttura gerarchica, possono essere combinati in modo semplice e veloce per formare un bacino imbibifero complessivo in qualsiasi SIG. Anche i poligoni dei bacini idrografici complessivi sono liberamente disponibili in un set di dati separato. Questo derivato del set di geodati di base contiene anche una serie di cifre chiave già calcolate per la copertura del suolo e la fisiogeografia. Nel visualizzatore federale di carte (www.map.geo.admin.ch), cliccando sul layer, viene visualizzato il corrispondente bacino di utenza complessivo. Di seguito sono riportate diverse cifre chiave per quell'area.

fr: Bassins versants topographiques des eaux suisses : bassins versants partiels de 2 km²

de: Topographische Einzugsgebiete Schweizer Gewässer: Teileinzugsgebiete 2 km²

en: Topographical catchment areas of Swiss waterbodies 2 km²

it: Bacini imbriferi topografici dei corsi d'acqua svizzeri: bacini imbibiferi parziali di 2 km²


envi

fr: Environnement

de: Umwelt

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

de: Map (Preview) Vorschau 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 "Bassins versants partiels 40km²"

de: WMS-BGDI Dienst, Layer "Teileinzugsgebiete 40 km²"

en: WMS-FSDI service, layer "40 km² sub catchment areas"

it: Servizio WMS-IFDG, strato "Bacini imbriferi 40 km²"

fr: Service WMTS-IFDG, couche , Layer "Bassins versants partiels 40km²"

de: WMTS-BGDI Dienst, Layer "Teileinzugsgebiete 40 km²"

en: WMTS-FSDI service, layer "40 km² sub catchment areas"

it: Servizio WMTS-IFDG, strato "Bacini imbriferi 40 km²"

fr: La série de données <Bassins versants 40 km²> est l'un des quatre niveaux d'agrégation de la série de géodonnées "Bassins versants topographiques des eaux suisses". Elle correspond à une mosaïque d'environ 1200 bassins versants partiels, délimités en fonction de la topographie et couvrant l'ensemble du territoire suisse. Lorsque c'était possible, la subdivision a été harmonisée avec les "bassins versants de base" de l'Atlas hydrologique de la Suisse (HADES).

de: Der Datensatz ‹Einzugsgebiete 40 km²› ist eine von vier möglichen Aggregationsebenen des Geobasisdatensatzes ‹Topographische Einzugsgebiete der Schweizer Gewässer›. Er besteht aus einem flächendeckenden Mosaik aus rund 1200 topographisch definierten Teileinzugsgebieten. Diese sind -wo möglich- auf die Basisgebiete des hydrologischen Atlas der Schweiz (HADES) abgestimmt.

en: The "40 km² catchment areas" data set is one of four possible aggregation levels for the "Topographical catchment areas of Swiss waterbodies" geodata set. It consists of a comprehensive mosaic of some 1200 topographically defined sub-catchment areas. These are, wherever possible, coordinated with the base areas of the Hydrological Map of Switzerland (HADES).

it: Il set di dati «Bacini imbriferi 40 km²» è uno dei quattro possibili livelli di aggregazione del record di geodati di base «Bacini imbriferi topografici dei corsi d'acqua svizzeri». Consiste in un mosaico degli oltre 1200 bacini imbriferi parziali definiti dal punto di vista della topografia. Nella misura del possibile, questi bacini parziali sono armonizzati con i bacini versanti di base inseriti nell'Atlante idrologico svizzero (HADES).

fr: Subdivision de la Suisse en bassins versants 40 km²

de: Topographische Einzugsgebiete der Schweizer Gewässer: Teileinzugsgebiete 40 km²

en: Topographical catchment areas of Swiss waterbodies 40 km²

it: Bacini imbriferi topografici dei corsi d'acqua svizzeri 40 km²


basismessnetz-oberflachengewasser

regi

fr: Régions et villes

en: Environment

it: Ambiente

title_for_slug: basismessnetz-oberflachengewasser

fr: Service WMS-IFDG, couche "Stations hydrométriques"

de: WMS-BGDI Dienst, Layer "Hydrologische Messstationen"

en: WMS-FSDI service, layer "Hydrological gauging stations"

it: Servizio WMS-IFDG, strato "Stazioni idrologiche"

fr: Service WMTS-IFDG, couche , Layer "Stations hydrométriques"

de: WMTS-BGDI Dienst, Layer "Hydrologische Messstationen"

en: WMTS-FSDI service, layer "Hydrological gauging stations"

it: Servizio WMTS-IFDG, strato "Stazioni idrologiche"

fr: Serveur de téléchargement de geo.admin.ch

de: Download Server von geo.admin.ch

en: Download server from geo.admin.ch

it: Server di download di geo.admin.ch

de: RESTful API von geo.admin.ch

fr: Cette série de données regroupe les stations de mesure qui appartiennent au réseau de base de la division Hydrologie de OFEV, c’est-à-dire toutes les stations publiées sur le site Internet de l’office. Le réseau de base compte au-jourd’hui quelque 260 stations de mesure des eaux de surface. Il permet de déterminer non seulement le niveau d’eau des lacs mais aussi le débit des cours d’eau en 200 endroits. Quelque 90 % des stations sont équipées pour l’interrogation à distance. En cliquant sur une station de mesure, vous pouvez faire apparaître le bassin versant topographique de la station en question.

de: Der Datensatz stellt die Standorte der Stationen des Basismessnetzes der Abteilung Hydrologie des BAFU dar. Er enthält alle aktuellen Stationen, welche auf der Homepage des BAFU publiziert werden. Das Basismessnetz umfasst heute rund 260 Messstationen an Oberflächengewässern. Neben dem Wasserstand an Seen wird an den Flüssen an 200 Stellen der Abfluss bestimmt. 90% aller Stationen verfügen über eine automatische Fernabfrage. Die Umrisse, die beim Anklicken einer Messstation sichtbar werden, stellen das topographische Einzugsgebiet der entsprechenden Messstation dar.

en: The data show the locations of the stations in the basic monitoring network of the Hydrology Division of the FOEN. It includes all stations currently listed on the FOEN’s home page. The basic monitoring network now comprises a total of 260 surface water gauging stations. In addition to lake water levels, river discharge is measured at 200 sites. 90% of all stations have automatic remote retrieval facilities.

it: L’insieme dei dati rappresenta i siti delle stazioni della rete di misurazione gestita dalla divisione Idrologia dall'UFAM. Include i dati di tutte le stazioni attive pubblicate sul sito dell’UFAM. La rete di misurazione di base comprende attualmente circa 260 stazioni di misurazione delle acque di superficie. Oltre al livello dei laghi, la rete misura in 200 stazioni la portata dei fiumi. Il 90 per cento delle stazioni dispone della funzione di consultazione automatica remota. Il perimetro che compare cliccando sulla stazione di misurazione rappresenta il bacino imbrifero topografico della stazione in questione.

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.

fr: Réseau de mesure des eaux superficielles

de: Basismessnetz Oberflächengewässer

en: FOEN basic monitoring network for surfaces water

it: Rete di misurazione di base Acque di superficie


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

regi

de: Regionen und Städte

en: Regions and cities

it: Regioni e città

de: AGIS Direktdownload

de: Bieneninspektionskreise

de: Der vorliegende Geobasisdatensatz enthält die Bieneninspektionskreise. Diese werden vom Departement Gesundheit und Soziales eingeteilt. Pro Inspektionskreis ist ein Bieneninspektor unter der Leitung der Kantonstierärztin zuständig für den Vollzug der Tierseuchenverordnung. Die Aussengrenzen der Inspektionskreise folgen den Gemeindegrenzen.

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


polleranlagen-und-schranken

tran

fr: Transports

de: Verkehr

en: Transport

it: Trasporti

title_for_slug: polleranlagen-und-schranken

de: WMS Polleranlagen_Schranken

de: Web Map Services WMS

de: WFS Polleranlagen_Schranken

de: Web Feature Services WFS

de: Städtische Polleranlagen und Schranken. Das Symbol bezeichnet den Standort der Steuersäule; pro Anlage sind richtungsabhängig mehrere möglich.

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: Polleranlagen und Schranken


fixpunkte

envi

fr: Environnement

de: Umwelt

title_for_slug: fixpunkte

de: bezugsrahmen hilfsfixpunkte vermessung

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 Fixpunkte

de: WFS Fixpunkte

de: Lage- und Höhenfixpunkte sind hierarchisch gegliedert und unterteilen sich in solche der Landesvermessung (LFP1, LFP2, HFP1 und HFP2) und der amtlichen Vermessung (LFP3, HFP3).

de: Fixpunkte


entsorgungsrouten-grungut

educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

en: Education, culture and sport

it: Istruzione, cultura e sport

ener

fr: Énergie

de: Energie

en: Energy

it: Energia

regi

de: Regionen und Städte

title_for_slug: entsorgungsrouten-grungut

fr: WMS-Dienst des Kanton Uri

de: WMS-Dienst des Kanton Uri

en: WMS-Dienst des Kanton Uri

it: WMS-Dienst des Kanton Uri

fr: WFS-Dienst des Kanton Uri

de: WFS-Dienst des Kanton Uri

en: WFS-Dienst des Kanton Uri

it: WFS-Dienst des Kanton Uri

fr: Die ZAKU sammelt im Auftrag der Gemeinden die Grünbabfälle im Kanton Uri entlang von festgelegten Sammelrouten. Diese werden von April bis November alle 2 Wochen abgefahren. Alle morgens ab 07.00 Uhr ordnungsgemäss bereitgestellten Grünbabfälle entlang dieser Routen werden eingesammelt. Die genauen Daten sowie die Anforderungen an die Bereitstellung finden sich im Abfall-Infoblatt, welches jährlich in alle Haushaltungen verteilt wird sowie unter dem Link "https://www.zaku.ch". Der Layer "Entsorgungsrouten Grüngut" bildet zusammen mit dem Layer "Entsorgungsrouten Kehricht" den Geobasisdatensatz "35-UR Entsorgungsrouten Siedlungsabfälle".

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: Entsorgungsrouten Grüngut

de: Entsorgungsrouten Grüngut

en: Entsorgungsrouten Grüngut

it: Entsorgungsrouten Grüngut


en: snow-depth snow-onset-and-disappearance-dates snow-height parallel-measurements climate-indicators

en: snow climate indicators

en: Snow climate indicators derived from parallel manual snow measurements

en: Sdur

media_type: text/csv

en: Potential sunshine duration during MA and mean snow disappearance dates for a selection of station pairs.

format: CSV

en: ReadMe

media_type: text/plain

en: File containing information about variables used in this data set

format: TXT

en: Data set consisting of snow climate indicators derived from parallel manual snow measurements in Switzerland.

climate-indicators

display_name: climate-indicators

parallel-measurements

display_name: parallel-measurements

snow-depth

display_name: snow-depth

snow-height

display_name: snow-height

snow-onset-and-disappearance-dates

display_name: snow-onset-and-disappearance-dates

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.

political_level: other

key: guid

key: uri

value: Envidat Harvester


maintainer: EnviDat Support

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

en: Site photo of the forest station (SCB)

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

en: Forest station data (SCB)

en: Data file.

en: Further details on the data repository

media_type: application/pdf

en: Meta data documentation.

format: PDF

en: Field station data (SCF)

mimetype: text/csv

en: Data plot of the forest station (SCB)

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

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: Data plot of the field station (SCF)

en: Site photo of the field station (SCF)

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

en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for two meteorological stations in 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: potential-assessment biomass-resources availability bioenergy sustainability

en: Biomass Potentials Switzerland

format: XLS

en: Biomass Potentials Switzerland Cantons

en: Biomass Supply Costs

en: Biomass Potential Switzerland Municipalities

en: Domestic biomass potential based on 2014 data at the municipality level for the theoretical and sustainable potential for 10 types of biomass.

en: Switzerland has a reliable and cost efficient energy system. Due to phase out of nuclear energy it is necessary to find new options to maintain this powerful energy system. The Swiss energy strategy 2050 aims to reduce CO2-emissions, increase efficiency and promote renewable energies. The Swiss Federal Institute for Forest, Snow and Landscape Research (WSL) examined relevant woody and non-woody biomass quantities (cubic meters, fresh-, dry weight) and their energy potentials (in Petajoules: primary energy and biomethane) with a similar methodological approach. The work was done within the frame of the Swiss Competence Centers for Energy Research (SCCER) especially in line with the SCCER Biomass for Swiss energy future (Biosweet). With a uniform and consistent approach for the current potentials ten biomass categories were estimated and aggregated for the whole of Switzerland. In this context solutions for the technical, social and political challenges are promoted. First, considering the different biomass resources characteristics and available data, appropriate methods at the finest scale possible were elaborated to estimate the annual quantities which could theoretically be collected (theoretical potential). Then, explicit and rational restrictions for sustainable bio-energy production were defined according to the current state of the art and subtracted from the theoretical potential to obtain the sustainable potential. The main restrictions are competing material utilizations, environmental factors and supply costs. Finally, the additional sustainable potential was estimated considering the current bioenergy production. Our main purpose was to provide potentials for developing conversion technologies as well as a detailed and comprehensive basis of the Swiss biomass potentials for energy use for economic and political decision makers. The complete report is available under https://www.dora.lib4ri.ch/wsl/islandora/object/wsl%3A13277/datastream/PDF/view

availability

display_name: availability

bioenergy

display_name: bioenergy

biomass-resources

display_name: biomass-resources

potential-assessment

display_name: potential-assessment

sustainability

display_name: sustainability

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: Potentials of domestic biomass resources for the energy transition in Switzerland


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

en: Dataset

media_type: application/zip

format: ZIP

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

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

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

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

lee-side-flow-field

display_name: lee-side-flow-field

lidar

display_name: lidar

preferential-deposition

display_name: preferential-deposition

tls

display_name: tls

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


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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

landslide-early-warning

display_name: landslide-early-warning

soil-moisture

display_name: soil-moisture

soil-temperature

display_name: soil-temperature

soil-water-content

display_name: soil-water-content

soil-water-matrix-potential

display_name: soil-water-matrix-potential

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


number-of-young-forest-plants-by-damage

title_for_slug: number-of-young-forest-plants-by-damage

en:
Number of regeneration trees starting at 10 cm height up to 11.9 cm dbh with a particular type of damage or with no damage. The attribute is recorded by targeting the next regeneration tree in the centre of the subplot during NFI’s regeneration survey. A regeneration tree may have more than one type of damage, which means it may contribute to the total number of regeneration trees for several different types of damage.

Citation:
 > _Abegg, M.; Brändli, U.-B.; Cioldi, F.; Fischer, C.; Herold-Bonardi, A.; Huber M.; Keller, M.; Meile, R.; Rösler, E.; Speich, S.; Traub, B.; Vidondo, B. (2014). Fourth national forest inventory - result tables and maps on the Internet for the NFI 2009-2013 (NFI4b). [Published online 06.11.2014] Available from World Wide Web http://www.lfi.ch/resultate/ Birmensdorf, Swiss Federal Research Institute WSL. [doi:10.21258/1057112](https://doi.org/10.21258/1057112)_

biogeographical-region

display_name: biogeographical-region

canton

display_name: canton

damage-of-young-forest-plant

display_name: damage-of-young-forest-plant

economic-region

display_name: economic-region

number-of-young-forest-plants-by-damage

display_name: number-of-young-forest-plants-by-damage

production-region

display_name: production-region

protection-forest-region

display_name: protection-forest-region

young-forest-plant-class

display_name: young-forest-plant-class

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: Number of young forest plants by damage


maintainer: Michael Lehning

en: Description

en: Full Data Description

mimetype: application/pdf

en: Data Source

en: Coordinates of Grid Points

en: Hourly Gridded Wind Power Time Series

en:
This dataset consist of simulated hourly power production from an Enercon E82 Turbine at 100 m hub-height. It describes the hourly power output a 1MW turbine would produce in each 0.01° grid cell for the years 2016 and 2017.

100 m wind speed data was taken from the COSMO-1 model (Consortium for Small-scale Modeling 2017), which has a 0.01° horizontal resolution. The domain covered is the whole of Switzerland, with the exclusion of lakes. As such, the number of 0.01◦ pixels within Switzerland amounts to 48657.
Conversion to power output was done based on the power curve of the Enercon E82 Turbine. As power output is lower at altitude due to lower air density, we corrected for this effect as described in (Kruyt et al. 2017).

Please cite the following paper in connection with the dataset:

Paper Citation:
 > _Bert Kruyt, Jérôme Dujardin, and Michael Lehning: Improvement of wind power assessment in complex terrain: The case of COSMO-1 in the Swiss Alps, Front. Energy Res., [doi:10.3389/fenrg.2018.00102] (https://doi.org/10.3389/fenrg.2018.00102)_

mountain-wind-potential

display_name: mountain-wind-potential

topography

display_name: topography

wind-energy

display_name: wind-energy

en: Dataset on Cosmo-1 based Energy Potential in Swiss Alps


soil-respiration-exclosure-experiment

title_for_slug: soil-respiration-exclosure-experiment

en: grazing grassland soil-respiration subalpine ungulates

en: Soil respiration Switzerland

en:
ID: Fence number

Year	:Year of sampling

mean.CO2: soil respiration measured with PP-systems SRC-1 soil respriation chamber attached to a EGM-4 infrared gas analyser; units CO2 g m-2 h-1

Grassland: Grasslands where fences were errected. Note that on large grasslands (STAB, GRIM, MING) 2 pairs of fences were errected (2 in short, 2 in tall-grass vegetation), on small grasslands (DADA, MARG, BOTS) only one pair of fences was errected (1 short-grass; one-tallgrass vegetation)

Fence: Fence number; un-even numbers on short-grass vegetation (1,3,5,7,9,11,13,15,17), even numbers on tall-grass vegetation (2,4,6,8,10,12,14,16,18)

Vegetation:	1 = shortgrass vegetation, 2 = tall-grass vegetation (9 replicate fences on each vegetation type)

Treatment	: 1 = all herbivores grazing, 2 = large ungulates (red deer, chamois) excluded

en:
Location of data collection
The Swiss National Park (SNP) is located in the southeastern part of Switzerland, and covers an area of 170 km2, 50 km2 of which is forested, 33 km2 is occupied by alpine and 3 km2 by subalpine grasslands. Elevations range from 1350 to 3170 m a.s.l., and mean annual precipitation and temperature are 871 mm and 0.6°C measured at the Park’s weather station in Buffalora (1980 m a.s.l.) between 1960 and 2009 (MeteoSchweiz 2011). Founded in 1914, the SNP received minimal human disturbance for almost 100 years (no hunting, fishing, or camping, visitors are not allowed to leave the trails). Large (> 1 ha) homogeneous patches of short- and tall-grass vegetation characterize the subalpine grasslands. The average vegetation height of short-grass vegetation is 2 to 5 cm. Red fescue (Festuca rubra L.), quaking grass (Briza media L.) and common bent grass (Agrostis tenuis Sipthrob) are the predominating plant species in this vegetation type. Tussocks of evergreen sedge (Carex sempervirens Vill.) and mat grass (Nardus stricta L.) are predominant in the tall-grass vegetation, which averages 20 cm in vegetation height (Schütz and others 2006). Short-grass vegetation developed in areas where cattle and sheep rested (high nutrient input) during agricultural land-use (from 14th century until 1914); tall-grass vegetation developed in areas where cattle and sheep used to graze, but did not rest (Schütz and others 2003, 2006). Herbivores were shown to consume > 60% of the biomass in short-grass compared to < 20% in tall-grass vegetation (Schütz and others 2006). The herbivore community present in the SNP can be divided into four groups based on body size/weight: large [red deer (Cervus elaphus L.) and chamois (Rupricapra rupricapra L.); 30 - 150 kg], medium [marmot (Marmota marmota L.) and snow hare (Lepus timidus L.); 3 – 6 kg], and small vertebrate herbivores (small rodents: e.g. Clethrionomys spp., Microtus spp., Apodemus spp.; 30 – 100 g) as well as invertebrates (e.g. grasshoppers, caterpillars, cicadas, < 5 g).

Experimental design
We selected 18 subalpine grassland sites (9 short-grass, 9 tall-grass vegetation). The sites were spread across the entire park on dolomite parent material at altitudes of 1975 to 2300 meters. At each site we established an exclosure network (fences) in spring 2009 (early June), immediately after snowmelt. Each exclosure network consisted of a total of five 2 × 3 m sized plots that progressively excluded the different herbivores listed above (further labeled according to the herbivore guilds that had access to the respective plots “All”, “Marmot/Mice/Invertebrates”, “Mice/Invertebrates”, “Invertebrates”, “None”). The “All” treatment was thus accessible to all herbivores, was not fenced and was located at least 5 m away from a 2.1 m tall and 7 × 9 m main fence that enclosed the other four treatments. This fence was constructed of 10 × 10 cm wooden posts and electrical equestrian tape (AGRARO ECO, Landi, Bern, Switzerland; 20 mm width) mounted at 0.7 m, 0.95 m, 1.2 m, 1.5 m and 2.1 m above the ground that were connected to a solar charged battery (AGRARO Sunpower S250, Landi, Bern, Switzerland). We also mounted non-electrically charged equestrian tape at 0.5 m to help exclude deer and chamois, yet allow marmots and hares to enter safely. Within each main fenced area we randomly established four 2 × 3 m plots: (1) The “Marmot/Mice/Invertebrates” plot remained unfenced, thus, with the exception of red deer and chamois, all herbivores were able to access the plot, (2) The “Mice/Invertebrates” plot consisted of a 90 cm high electric sheep fence (AGRARO Weidezaunnetz ECO, Landi, Bern, Switzerland; mesh size 10 × 10 cm) connected to the solar panel and excluded all medium sized mammals (marmots, hares), but provided access for small mammals and invertebrates, (3) The “Invertebrates” plot provided access for invertebrates only and was surrounded by 1 m high metal mesh (Hortima AG, Hausen, Schweiz; mesh size 2 × 2 cm), (4) The “None” plot was surrounded by a 1 m tall mosquito net (Sala Ferramenta AG, Biasca, Switzerland; mesh size 1.5 × 2 mm) to exclude all herbivores. This plot was covered with a roof constructed of a wooden frame lined with mosquito mesh that was mounted on the wooden corner posts. We also treated this plot with a biocompatible insecticide (Clean kill original, Eco Belle GmbH, Waldshut-Tiengen, Germany) when needed to remove insects that might have entered during data collection or that hatched from the soil.

!!! The here published data set only contains data for “All”, and “Marmot/Mice/Invertebrates” (= ungulates excluded) plots !!!

Data collection
In-situ soil CO2 emissions were measured with a PP-Systems SRC-1 soil respiration chamber (closed circuit) attached to a PP-Systems EGM-4 infrared gas analyzer (PP-Systems, Amesbury, MA, USA) on two randomly selected locations on one subplot within each of the 90 plots. For each measurement the soil chamber (15 cm high; 10 cm diameter) was placed on a permanently installed PVC collar (10 cm diameter) driven five centimeters into the soil at the beginning of the study (June 2009). The measurements were conducted between 0900 and 1700 hours every two weeks from early to early September 2009, 2010, 2011 and 2013. Freshly germinated plants growing within the PVC collars were removed prior to each measurement to avoid measuring plant respiration/photosynthesis. The two measurements collected per plot every two weeks were averaged.

Please acknowledge the funding of the study: funded by the Swiss National Science Foundation, SNF grant-no 31003A_122009/1 to Anita C. Risch, Martin Schütz and Flurin Filli

grassland

display_name: grassland

grazing

display_name: grazing

soil-respiration

display_name: soil-respiration

subalpine

display_name: subalpine

ungulates

display_name: ungulates

en: Soil respiration - exclosure experiment


en: whole-tree-volume branchwood allometric nfi model stemwood

en: Datasets for deriving functions for the stem- and branchwood volume in the Swiss National Forest Inventory

en: Documentation of the data and review in 2022.

en: linked data set with stem and branchwood data

en: Dataset comprising all measured variables in order to easily derive complete above-ground tree wood volume based on 38’841 trees including 14’038 trees with measured branchwood data.

en:
In the Swiss National Forest Inventory (NFI) the volume of the stem and of large (≥ 7cm in diameter) and small branches is estimated based on allometric functions. These functions were developed based on data collected within the permanent plot network of the Experimental Forest Management (EFM) sites at WSL (David I. Forrester; Hubert Schmid; Jens Nitzsche (2021). The Experimental Forest Management network. EnviDat. doi: 10.16904/envidat.213). The data were converted to digital format in two separate steps in the mid-1970s for stemwood and the mid-1980s for branchwood.
The dataset on stemwood volume contains 38’864 single tree data for the mean crosswise diameter at two meter sections along the stem plus an additional measurements at 1.3 m (i.e. DBH) where the diameter is greater than or equal to 7 cm (i.e. threshold of merchantable wood) and the lengths of the stem from the base to the threshold of merchantable wood and to the tree top. The measurements were collected on 768 EFM sites in the period 1888 to 1974. The dataset on branchwood is based on a subset of the stemwood data and contains in the raw format information on 14'712 single trees. It includes aggregated data from the stemwood dataset, i.e. the DBH, the stem-diameter at 7 m from the base, and the tree height from the base to the top, as well as the measured volume of large and small branches.
In 2022, the metadata of both datasets were checked, values were examined for plausibility and duplicated entries. Duplicates were removed as far as possible and the branchwood volume data were appended to the stemwood dataset to obtain a final, single file with matching single tree data. Following this evaluation the final dataset consisted of a total of 38’841 trees including 14’038 trees with measured branchwood data.

allometric

display_name: allometric

branchwood

display_name: branchwood

model

display_name: model

nfi

display_name: nfi

stemwood

display_name: stemwood

whole-tree-volume

display_name: whole-tree-volume


maintainer: Matthias Haeni

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

en: Forest station data (OTB)

en: Data file.

en: Field station data (OTF)

en: Site photo of the field station (OTF)

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

mimetype: image/jpeg

en: Site aerial photo (Othmarsingen)

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

en: Site photo of the forest station (OTB)

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

en: Data plot of the field station (OTF)

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

en: Data plot of the forest station (OTB)

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 Othmarsingen in Switzerland where one station is located within a natural deciduous forest stand (OTB) with European beech (_Fagus sylvatica_; 120-140 yrs) and lime trees (_Tilia sp._; 120-140 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, OTF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Othmarsingen 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

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: Othmarsingen, Switzerland: Long-term forest meteorological data from the Long-term Forest Ecosystem Research Programme (LWF), from 1996 onwards


maintainer: Dirk Nikolaus Karger

en: reptiles generalized-linear-models sdm random-forests range-maps mammals iucn chelsa interannual-climate-variability niche-models generalized-additive-models amphibians climate-variablity species-distribution-models

en: File containing the record dimension, genus, and species of the respective netcdf files

en: Mammals

en: Species distribution models based on different climate predictor groups

en: Reptiles

en: Readme file containing the file naming convention, file dimensions, and variable names

en: File containing the climate predictors as SAGA grid files (.sgrd)

en: Amphibians

en: We modelled the global distribution of 730 amphibian, 1276 reptile, and 1961 mammal species globally as a function of current climate at a 0.5° spatial resolution using four different predictor groups composed of different combinations of input variables: mean climatic conditions, spatial climatic variability, and temporal (interannual) climatic variability.

amphibians

display_name: amphibians

chelsa

display_name: chelsa

climate-variablity

display_name: climate-variablity

generalized-additive-models

display_name: generalized-additive-models

generalized-linear-models

display_name: generalized-linear-models

interannual-climate-variability

display_name: interannual-climate-variability

iucn

display_name: iucn

mammals

display_name: mammals

niche-models

display_name: niche-models

random-forests

display_name: random-forests

range-maps

display_name: range-maps

reptiles

display_name: reptiles

sdm

display_name: sdm

species-distribution-models

display_name: species-distribution-models

en: Global species distributions for mammals, reptiles, and amphibians


en: snow-cover-fraction snow-melt snow-water-equivalent snow-climatology operational-snow-hydrological-service

en: Data package

en: This dataset comprises the climatology on gridded data of snow water equivalent and snow melt runoff spanning 1998-2022, with a spatial resolution of 1 km and daily temporal resolution. This data was produced with the conceptual OSHD model (Temperature Index Model).

operational-snow-hydrological-service

display_name: operational-snow-hydrological-service

snow-climatology

display_name: snow-climatology

snow-cover-fraction

display_name: snow-cover-fraction

snow-melt

display_name: snow-melt

snow-water-equivalent

display_name: snow-water-equivalent

en: Climatological snow data since 1998, OSHD


tree-ring-laser-ablation-data

maintainer: Paula Ballikaya

title_for_slug: tree-ring-laser-ablation-data

en: air-pollution dendrochemistry dendrochronology tree-rings laser-ablation

en: Laser ablation data

en:
This dataset contains the values of several chemical elements (Mg, Al, Si, S, K, Ca, Ti, Cr, Mn, Fe, Co, Ni, Cu, Zn, As, Sr, Tl, Pb, Bi) measured in the latewood of tree rings of Mongolian oak from Harbin, China, at a 5-year resolution. Due to the lack of a suitable reference material for wood, absolute concentration was not calculated, and the ratio between the chemical element and 13C was taken as proxy for the element signal.

In Harbin, one of the largest cities and most important industrial centers in northeastern China, air quality monitoring systems were built only by the end of 2015 to meet the national requirements. Thus, dendrochemical analyses could be used as a tool to complement for the lack of air quality data over longer periods of time, allowing for the reconstruction of the temporal trend of trace metals. Our main scopes were to: (a) assess the chemical composition of Quercus mongolica Fisch. ex Ledeb. tree rings from Harbin using a recently developed system of laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS), (b) identify the main chemical elements which
derived from air pollution and may be used as indicators over the period 1965–2020 in Harbin, while excluding those that were controlled by physiological processes in the tree, and (c) reconstruct the history of pollution in Harbin by comparing the tree-ring chemical composition of recent decades with that of previous decades, in trees growing in the highly polluted city of Harbin and in trees growing in a control site 90 km away from major pollution sources.

Briefly, the temporal trend of some elements was influenced by physiological factors, by environmental factors such as pollution, or influenced by both. Mg, K, Zn, Cu, Ni, Pb, As, Sr and Tl showed changes in pollution levels over time.

air-pollution

display_name: air-pollution

dendrochemistry

display_name: dendrochemistry

dendrochronology

display_name: dendrochronology

laser-ablation

display_name: laser-ablation

tree-rings

display_name: tree-rings

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: Tree-ring laser ablation data


maintainer: Leo Gallus Bont

en: openstreetmap qgis geoprocessing forest seilaplan accessible-forest

en: Juypter Notebook for Data Preparation

en: Preview

media_type: image/png

format: PNG

mimetype: image/png

en: Forest vector data (for sample forest range)

mimetype: application/zip

en: Juypter Notebook for Data Preparation (online)

en: Power lines vector data (close to the area of the sample forest range)

en: Railways vector data (close to the sample forest range)

en: Digitised sample perimeter

en: DEM (for the area of the sample forest range)

media_type: image/tiff

format: TIFF

mimetype: image/tiff

en:
This dataset contains open vector data for railways, forests and power lines, as well an open digital elevation model (DEM) for a small area around a sample forest range in Europe (Germany, Upper Bavaria, Kochel Forest Range, some 70 km south of München, at the edge of Bavarian Alps).
The purpose of this dataset is to provide a documented sample dataset in order to demonstrate geospatial preprocessing at FOSS4G2019 based on open data and software. This sample has been produced based on several existing open data sources (detailed below), therefore documenting the sources for obtaining some data needed for computations related to forest accessibility and wood harvesting. For example, they can be used with the open methodology and QGIS plugin [Seilaplan]( https://doi.org/10.16904/envidat.software.1) for optimising the geometric layout cable roads or with additional open software for computing the forest accessibility for wood harvesting.
The vector data (railways, forests and power lines) was extracted from OpenStreetMap (data copyrighted OpenStreetMap contributors and available from https://www.openstreetmap.org). The railways and forests were downloaded and extracted on 18.05.2019 using the open sources QGIS (https://www.qgis.org) with the QuickOSM plugin, while the power lines were downloaded a couple of days later on 23.05.2019.

Additional notes for vector data:
Please note that OpenStreeMap data extracts such as forests, roads and railways (except power lines) can also be downloaded in a GIS friendly format (Shapefile) from http://download.geofabrik.de/ or using the QGIS built-in download function for OpenStreetMap data. The most efficient way to retrieve specific OSM tags (such as power=line) is to use the QuickOSM plugin for QGIS (using the Overpass API - https://wiki.openstreetmap.org/wiki/Overpass_API) or directly using overpass turbo (https://overpass-turbo.eu/). Finally, the digitised perimeter of the sample forest range is also made available for reproducibility purposes, although any perimeter or area can be digitised freely using the QGIS editing toolbar.

The DEM was originally adapted and modified also with QGIS (https://www.qgis.org) based on the elevation data available from two different sources, by reprojecting and downsampling datasets to 25m then selecting, for each individual raster cell, the elevation value that was closer to the average. These two different elevation sources are:

- Copernicus Land Monitoring Service - EU-DEM v.1.1 (TILE ID E40N20, downloaded from https://land.copernicus.eu/imagery-in-situ/eu-dem/eu-dem-v1.1; this original DEM was produced by the Copernicus Land Monitoring Service “with funding by the European Union” based on SRTM and ASTER GDEM)
- Digitales Geländemodell 50 m Gitterweite (https://opendata.bayern.de/detailansicht/datensatz/digitales-gelaendemodell-50-m-gitterweite/), produced by the Bayerische Vermessungsverwaltung – www.geodaten.bayern.de –and downloaded from http://www.geodaten.bayern.de/opendata/DGM50/dgm50_epsg4258.tif

This methodology was chosen as a way of performing a basic quality check, by comparing the EU-DEM v.1.1 derived from globally available DEM data (such as SRTM) with more authoritative data for the randomly selected region, since using authoritative data is preferred (if open and available). For other sample regions, where authoritative open data is not available, such comparisons cannot longer be performed.

Additional notes DEM: a very good DEM open data source for Germany is the open data set collected and resampled by Sonny (sonnyy7@gmail.com) and made available on the Austrian Open Data Portal http://data.opendataportal.at/dataset/dtm-germany. In order to simplify end-to-end reproducibility of the paper planned for FOSS4G2019, we use and distribute an adapted (reprojected and resampled to 25 meters) sample of the above mentioned dataset for the selected forest range.

This sample dataset is accompanied by software in Python, as a Jupiter Notebook that generates harmonized output rasters with the same extent from the input data. The extent is given by the polygon vector dataset (Perimeter). These output rasters, such as obstacles, aspect, slope, forest cover, can serve as input data for later computations related to forest accessibility and wood harvesting questions. The obstacles output is obtained by transforming line vector datasets (railway lines, high voltage power lines) to raster. Aspect and slope are both derived from the sample digital elevation model.

accessible-forest

display_name: accessible-forest

forest

display_name: forest

geoprocessing

display_name: geoprocessing

openstreetmap

display_name: openstreetmap

qgis

display_name: qgis

seilaplan

display_name: seilaplan

envidat

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

en: Sample Geodata and Software for Demonstrating Geospatial Preprocessing for Forest Accessibility and Wood Harvesting at FOSS4G2019


maintainer: Ueli Reber

en: environmental--policy policy-documents bgb switzerland text-corpus biodiversity policy-analysis

en: Replication files

en:
 Introduction

The ZIP file contains all data and code to replicate the analyses reported in the following paper.

Reber, U., Fischer, M., Ingold, K., Kienast, F., Hersperger, A. M., Grütter, R., & Benz, R. (2022). Integrating biodiversity: A longitudinal and cross-sectoral analysis of Swiss politics. *Policy Sciences*. [https://doi.org/10.1007/s11077-022-09456-4](https://doi.org/10.1007/s11077-022-09456-4)

If you use any of the material included in this repository, please refer to the paper. If you use (parts of) the text corpus, please also refer to the sources used for its compilation listed below. The content of the texts may not be changed.

 Data folder

The data folder contains the following files.

* _corpus.parquet_: Text corpus of Swiss policy documents
* _dict_de.csv_: Biodiversity dictionary (German)
* _dict_fr.csv_: Biodiversity dictionary (French)
* _dict_it.csv_: Biodiversity dictionary (Italian)
* _topic_labels.csv_: labels/codes for policy sectors
* _topics.csv_: labels/codes for policy sectors

The corpus and the dictionary were compiled by the authors specifically for this project. The labels/codes for policy sectors are based on the [coding scheme](http://ws-old.parlament.ch/affairs/topics) of the Swiss Parliament.

 Text corpus

The text corpus consists of 439,984 Swiss policy documents in German, French, and Italian from 1999 to 2018. The corpus was compiled from the following source between 2020-10-01 and 2021-01-31.

* Transcripts and parliamentary businesses (e.g. questions, motions, parliamentary initiatives) via the [Web Services (WS)](https://www.parlament.ch/de/%C3%BCber-das-parlament/fakten-und-zahlen/open-data-web-services) provided by the Swiss Parliament
* The official compilation of federal legislation ("Amtliche Sammlung", AS) via [opendata.swiss](https://opendata.swiss/de/dataset/official-compilation-of-federal-legislation-bs-as-1947-2018) provided by the Swiss Federal Archives (SFA)
* The federal gazette ("Bundesblatt") via [fedlex.admin.ch](https://www.fedlex.admin.ch/de/fga/index)
* Decisions of federal courts via [entscheidsuche.ch (ES)](https://entscheidsuche.ch/)

The corpus is stored in a single data frame to use with R saved as [PARQUET](https://parquet.apache.org/) file (corpus.parquet). The data frame has the following structure.

* _text_id_: Unique identifier for each text (source information as prefix, e.g. "t_")
* _doc_type_: Document type (see coding scheme below)
* _branch_: Government branche (1 legislative, 2 executive, 3 judicative)
* _stage_: Stage of policy process (1 drafting, 2 introduction, 3 interpretation)
* _year_: Year of publication
* _topic_: Policy sector (coding scheme in separate file in data folder)
* _lang_: Language (de, fr, it)
* _text_: Text

The following list contains the coding scheme for the doc_type variable.

* 101: Federal gazette // Draft for public consultation ("Vernehmlassungsverfahren")
* 102: Federal gazette // Explanation of draft for parliament ("Botschaft")
* 103: Federal gazette // Strategy, action plan
* 104: Federal gazette // Federal council decree ("Bundesratsbeschluss")
* 105: Federal gazette // (Simple) Federal decree ("(Einfacher) Bundesbeschluss")
* 106: Federal gazette // General decree ("Allgemeinverfügung")
* 107: Federal gazette // Treaty ("Übereinkommen")
* 108: Federal gazette // Treaty ("Abkommen")
* 109: Federal gazette // Draft for parliament ("Entwurf")
* 110: Federal gazette // Report ("Bericht")
* 111: Federal gazette // Report of parliamentary comission ("Bericht")
* 112: Federal gazette // Report of federal council ("Bericht")
* 201: Parl. businesses // Submitted text
* 202: Parl. businesses // Reason text
* 203: Parl. businesses // Federal council response
* 204: Parl. businesses // Initial situation
* 205: Parl. businesses // Proceedings
* 301: Parl. transcripts // Speech of MP
* 302: Parl. transcripts // Speech of federal council
* 401: Federal legislation // Legal text of the official compilation (law, ordinances, etc.)
* 501: Court decisions // Federal Supreme Court
* 502: Court decisions // Federal Criminal Court
* 503: Court decisions // Federal Administrative Court

 Code folder

The code folder contains all R code for the analyses. The files are numbered chronologically.

* _1_classifier_training.R_: Training of classifiers for classification of policy sectors
* _2_classifier_application.R_: Classification of documents in corpus
* _3_dictionary_application.R_: Biodiversity indexing of documents in corpus
* _4_stm_truncation.R_: Truncation of indexed documents to keep only relevant parts
* _5_stm_translation.R_: Translation of FR and IT documents to DE
* _6_stm_model.R_: Preprocesssing and structural topic model
* _7_plots.R_: Plots and numbers as included in the paper

The code/functions folder contains custom functions used in the scripts, e.g. to support topic model interpretation.

Package versions and setup details are noted in the code files.

 Contact

Please direct any questions to Ueli Reber (ueli.reber@eawag.ch).

bgb

display_name: bgb

biodiversity

display_name: biodiversity

environmental--policy

display_name: environmental--policy

policy-analysis

display_name: policy-analysis

policy-documents

display_name: policy-documents

switzerland

display_name: switzerland

text-corpus

display_name: text-corpus

en: Replication files for "Integrating biodiversity: A longitudinal and cross-sectoral analysis of Swiss politics"


maintainer: Marcus Schaub

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

en: Site photo 1

en: Shapefile	of measurement location

en: Long-term Irrigation	Experiment Pfynwald homepage

media_type: text/html

mimetype: text/html

en: Dataset

en: Site photo 3

en: Swiss Forest Health Inventory

en: Site photo 2

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

crown-condition

display_name: crown-condition

dbh

display_name: dbh

diameter-at-breast-height

display_name: diameter-at-breast-height

drought

display_name: drought

irrigation

display_name: irrigation

lwf

display_name: lwf

scots-pine

display_name: scots-pine

swiss-forest-lab

display_name: swiss-forest-lab

tree

display_name: tree

tree-species

display_name: tree-species

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

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


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

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

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

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

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

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

ash-dieback

display_name: ash-dieback

cross-resistance

display_name: cross-resistance

defense-chemistry

display_name: defense-chemistry

emerald-ash-borer

display_name: emerald-ash-borer

fraxinus

display_name: fraxinus

intraspecific-variation

display_name: intraspecific-variation

invasive-species

display_name: invasive-species

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


maintainer: Paraskevi Georgakaki

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

en: Observational data

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

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

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

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

en: WRF outputs

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

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

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

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

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

blowing-snow

display_name: blowing-snow

ice-crystal-number-concentration

display_name: ice-crystal-number-concentration

ice-water-content

display_name: ice-water-content

jungfraujoch

display_name: jungfraujoch

liquid-water-content

display_name: liquid-water-content

secondary-ice-production

display_name: secondary-ice-production

swiss-alps

display_name: swiss-alps

wrf

display_name: wrf

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


photogrammetric-drone-data-gruenbodeli

title_for_slug: photogrammetric-drone-data-gruenbodeli

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

en: Data Access

en:
- ortho (3 cm/25 mm resolution)
- DSM (10 cm resolution)
- HS (10 cm resolution)
- RGB images
- Agisoft Metashape Project Report

All products are also available as a cloud optimized geotiff.

en:
We conducted various drone flights at Grüenbödeli near Davos with the Sony RX1R II mounted on a Wingtra drone during 2020/21/22. The data was processed with the Agisoft Metashape Professional Software.
The following products are available for download:
- DSM 10cm resolution
- Orthomosaic 3cm/25mm resolution
- Snow Raster 10cm resolution
- original RGB images

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 Grüenbödeli