geography

de: Geographie

territory

de: Raum und Umwelt

de: pollen klimatologie meteorologischer-parameter meteorologie wetterbeobachtung wetter messstellennetz klima luft-atmosphare meteorologisch-geografische-kennwerte atmospharische-bedingungen bgdi-bundesgeodaten-infrastruktur

spatial: Schweiz

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

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

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

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

fr: Aperçu map.geo.admin.ch

de: Vorschau map.geo.admin.ch

en: Preview map.geo.admin.ch

it: Previsione map.geo.admin.ch

format: SERVICE

fr: Métadonnées des emplacements (Format GeoJSON)

de: Metadaten der Standorte (Format GeoJSON)

en: Metadata of the locations (Format GeoJSON)

it: Metadati delle località (Format GeoJSON)

format: ZIP

fr: MétéoSuisse exploite le réseau national de surveillance du pollen. Ce dernier comprend des stations de surveillance automatiques et manuelles couvrant les principales zones climatiques et de végétation de la Suisse. Des stations de surveillance additionnelles sont exploitées pour surveiller le pollen de l'ambroisie. Les données obtenues délivrent de précieuses informations pour les personnes allergiques.

de: MeteoSchweiz betreibt das Nationale Pollenmessnetz. Es umfasst automatische und manuelle Pollen-Messstationen, welche die wichtigsten Klima- und Vegetationsräume der Schweiz berücksichtigen. Zur Überwachung der Ambrosia-Pollen werden zusätzliche Messstationen betrieben. Die Messungen der eingesetzten Pollenfallen liefern wertvolle Informationen für Allergiker/-innen.

en: MeteoSwiss operates the national pollen monitoring network. This consists of automatic and manual monitoring stations which cover Switzerland's most important climatic and vegetation regions. Additional monitoring stations are operated in order to monitor levels of ragweed pollen. The measurements recorded by the respective pollen traps provide valuable information for those who suffer from allergies.

it: MeteoSvizzera gestisce la rete svizzera per la misura delle concentrazioni dei pollini. Essa è composta da stazioni di misurazione automatiche e manuale, situate nelle principali zone climatiche e vegetative del Paese. Delle stazioni supplementari consentono di monitorare i pollini di ambrosia. Le misurazioni degli appositi strumenti (denominati captapolline o catturatori di polline) forniscono informazioni importanti per le persone allergiche.

fr: Office fédéral de météorologie et de climatologie MétéoSuisse

de: Bundesamt für Meteorologie und Klimatologie MeteoSchweiz

en: Federal Office of Meteorology and Climatology MeteoSwiss

it: Ufficio federale di meteorologia e climatologia MeteoSvizzera

fr: Le service météorologique et climatologique national. A partir de l'ensemble des stations de mesure, des radars météorologiques et des satellites MétéoSuisse élabore pronostics, alertes et analyse climatiques.

de: Der nationale Wetter- und Klimadienst. Messstationen, Wetterradars und Satelliten überwachen das Wetter. Aus den Messdaten erstellt MeteoSchweiz Prognosen, Warnungen und Klimaanalysen

en: The national weather and climate service. Meteorological stations, weather radars and satellites monitor the weather. Using the collected data, MeteoSwiss generates forecasts, warnings and climate analyses.

it: Il servizio nazionale di meteorologia e climatologia. Sulla base di dati di stazioni di rilevamento, radar meteorologici e satelliti MeteoSvizzera elabora previsioni del tempo, allerte e le analisi climatologiche.

political_level: confederation

value: MeteoSchweiz - Geocat Harvester

fr: Stations du réseau national de mesure du pollen

de: Messstationen des nationalen Pollenmessnetzes

en: Stations of the national pollen monitoring network

it: Stazioni della rete per il rilevamento dei pollini


geography

fr: Géographie

en: Geography

it: Geografia

fr: Territoire et environnement

en: Territory and environment

it: Territorio e ambiente

label: Geometadaten Kanton Zürich: GeoLion

label: geocat.ch permalink

state: active

spatial: Kanton Zürich

type: dataset

de: Download via GIS-Browser

de: Mit der Festlegung des Gewässerraums an den oberirdischen Gewässern soll der Raum gesichert werden, welcher nötig ist zur Gewährleistung der natürlichen Funktionen der Gewässer, des Hochwasserschutzes und der Gewässernutzung. Die Gewässerschutzverordnung des Bundes (GSchV) legt dazu konkrete Masse fest, wie gross der Gewässerraum mindestens sein muss (Art. 41a und 41b GSchV). Der Gewässerraum muss dort erhöht werden, wo dies zur Gewährleistung für den Hochwasserschutz, der Revitalisierung, sowie bei überwiegenden Interessen des Natur- und Landschaftsschutzes und der Gewässernutzung erforderlich ist. Im Gewässerraum dürfen nur standortgebundene, im öffentlichen Interesse liegende Bauten und Anlagen erstellt werden. In dicht überbauten Gebieten kann der Gewässerraum den baulichen Gegebenheiten angepasst werden, soweit der Schutz vor Hochwasser gewährleistet ist, bzw. kann die Behörde für zonenkonforme Bauten und Anlagen Ausnahmen bewilligen, sofern keine überwiegenden Interessen entgegenstehen. Rechtmässig erstellte und bestimmungsgemäss nutzbare Bauten und Anlagen im Gewässerraum sind in ihrem Bestand grundsätzlich geschützt. Der Gewässerraum darf nur extensiv gestaltet und bewirtschaftet werden (Art. 41 c GschV) Solange der Gewässerraum nicht festgelegt ist, regeln die Übergangsbestimmungen der GSchV direkt und grundeigentümerverbindlich die Bemessung der von Bauten und Anlagen freizuhaltenden Uferstreifen. Der Gewässerabstand von 5 Meter gemäss § 21 des kantonalen Wasserwirtschaftsgesetzes (WWG), behält bis zu einer allfälligen Anpassung des WWG auch mit der Festlegung des Gewässerraums weiterhin Gültigkeit. Nach der Ersterfassung werden die Daten in den ÖREB-Kataster überführt.

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

geoinformation-kanton-zuerich

fr: Département de Géoinformation du Canton de Zurich

de: Geoinformation Kanton Zürich

en: Department of Geoinformation of the Canton of Zurich

it: Dipartimento della geoinformazione del Cantone di Zurigo

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

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

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

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

political_level: canton

kanton-zuerich

capacity: public

type: organization

approval_status: approved

value: ZH - Geocat Harvester

de: Gewässerraum


maintainer: Gemeindeamt des Kantons Zürich

de: gemeindefinanzen gemeinden

de: Bilanzwert der langfristigen Schulden [Fr./Einw.]

media_type: text/csv

de: Bilanzwert der langfristigen Schulden pro Kopf pro konsolidierte Gemeinde.

format: CSV

mimetype: text/csv

gemeindefinanzen

display_name: gemeindefinanzen

gemeinden

display_name: gemeinden

national-economy

fr: Economie nationale

de: Volkswirtschaft

en: National economy

it: Economia

gemeindeamt-kanton-zuerich

de: Gemeindeamt Kanton Zürich

de: Das Gemeindeamt des Kantons Zürich hilft den Gemeinden, sich in Übereinstimmung mit dem kantonalen Recht zu organisieren. Mit dem Finanzausgleich stellt das Amt sicher, dass alle Gemeinden ihre Grundaufgaben erfüllen können. Daneben obliegen dem Gemeindeamt die kantonalen Aufgaben des Zivilstands-, Einbürgerungs- und Einwohnerwesens. Schliesslich ist das Gemeindeamt Aufsichtsstelle 2. Instanz (nach den Bezirksräten) hinsichtlich Organisation, Haushaltführung, Rechnungslegung sowie Aufsichtsbehörde über die Kindes- und Erwachsenenschutzbehörden.

key: guid

key: uri

value: ZH-Kt Gemeindeamt - DCAT Harvester


geography

de: Geographie

territory

de: Raum und Umwelt

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

de: Vorschau map.geo.admin.ch

fr: Serveur de téléchargement de geo.admin.ch

de: Download Server von geo.admin.ch

en: Download server from geo.admin.ch

it: Server di download di geo.admin.ch

fr: Service WMS de geo.admin.ch

de: WMS Dienst von geo.admin.ch

en: WMS Service from geo.admin.ch

it: Servizio WMS di geo.admin.ch

format: WMS

fr: WMS pour le géoportail national

de: WMS für das Nationale Geoportal

en: WMS for the national geoportal

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: L’article 24 de l’ordonnance sur les noms géographiques (ONGéo) confie à l’Office fédéral de topographie swisstopo la tâche d’établir, de gérer et de publier le nouveau répertoire officiel des localités avec le code postal et le périmètre associés à chacune d’elles. La tenue de ce jeu de données qui correspond à l’exception de la suppression de l’identifiant «IDENT NPA, Chiffres_supplementaires» de la table «NPA»du TOPIC «NPA_Localite» de la mensuration officielle est centralisée par swisstopo. Le jeu de données couvre l'intégralité du territoire suisse et peut être obtenu gratuitement (il est actualisé mensuellement)

de: Mit Artikel 24 der Verordnung über die geografischen Namen (GeoNV) wurde das Bundesamt für Landestopografie swisstopo beauftragt, das neue amtliche Ortschaftenverzeichnis mit Postleitzahl und Perimeter zu erstellen, zu verwalten und zu veröffentlichen. Dieser Datensatz wird zentral bei swisstopo geführt und entspricht mit Ausnahme des entfernten Identifikators «IDENT PLZ, Zusatzziffern» in der Tabelle «PLZ» dem TOPIC «PLZOrtschaft» der amtlichen Vermessung. Der Datensatz ist flächendeckend über die ganze Schweiz und kann kostenlos bezogen werden (Datensatz wird monatlich nachgeführt).

en: In Article 24 of the regulations governing geographic names (GeoNV), the Federal Office of Topography (swisstopo) is commissioned to establish, administer and publish the new official index of cities and towns including postal codes and perimeter. The data are stored centrally at swisstopo and correspond of the TOPIC «PLZOrtschaften» (postal codes and localities) of the official cadastral survey, with the exception that the identifier «IDENT PLZ, Zusatzziffern» of the table «PLZ» has been removed.The data set covers all of Switzerland and is available free of charge.

it: Con l’articolo 24 dell’Ordinanza sui nomi geografici (ONGeo) l’Ufficio federale di topografia è stato incaricato di realizzare, amministrare e pubblicare il nuovo elenco ufficiale delle località con il numero postale d’avviamento e il perimetro. Questo set di dati è gestito a livello centralizzato presso swisstopo e corrisponde ad esclusione del rimosso del identificatore «IDENT CAP, cifre_supplementari» nella tabella «CAP6» al set di dati TOPIC «CAP_localita» della misurazione ufficiale. Il set di dati è capillare per tutto il territorio svizzero e può essere ottenuto gratuitamente (aggiornato con cadenza mensile).

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: Répertoire officiel des localités avec le code postal et le périmètre

de: Amtliches Ortschaftenverzeichnis mit Postleitzahl und Perimeter

en: Official index of cities and towns including postal codes and perimeter

it: Elenco ufficiale delle località con il numero postale d'avviamento e il perimetro


maintainer: Staatsarchiv des Kantons Zürich

de: Erlasse der Zürcher Gesetzessammlung ab 1803

media_type: application/zip

mimetype: application/zip

de: Sämtliche Erlasse der Zürcher Gesetzessammlung von 1803 bis 1998. Umgesetzt als XML Dateien nach Vorgaben der TEI. Die Daten stehen unter einer Creative Commons CC-BY-SA 4.0 Lizenz zur Verfügung.

regierungsrat

display_name: regierungsrat

agriculture

fr: Agriculture, sylviculture

de: Land- und Forstwirtschaft

en: Agriculture, forestry

it: Agricoltura, selvicoltura

construction

fr: Construction, logement

de: Bau- und Wohnungswesen

en: Construction and housing

it: Costruzione e abitazione

crime

fr: Criminalité, droit pénal

de: Kriminalität, Strafrecht

en: Crime, criminal justice

it: Criminalità, diritto penale

culture

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

de: Kultur, Medien, Informationsgesellschaft, Sport

en: Culture, media, information society, sport

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

education

fr: Education, science

de: Bildung, Wissenschaft

en: Education and science

it: Formazione e scienza

energy

fr: Energie

de: Energie

en: Energy

it: Energia

industry

fr: Industrie, services

de: Industrie, Dienstleistungen

en: Industry and services

it: Industria, servizi

mobility

fr: Mobilité et transports

de: Mobilität und Verkehr

en: Mobility and Transport

it: Mobilità e trasporti

politics

fr: Politique

de: Politik

en: Politics

it: Politica

social-security

fr: Protection sociale

de: Soziale Sicherheit

en: Social security

it: Sicurezza sociale

staatsarchiv-kanton-zuerich

de: Staatsarchiv Kanton Zürich

de: Das Staatsarchiv ist das Archiv des Kantons Zürich und seiner Rechtsvorgänger. Es bewertet, übernimmt, erschliesst und konserviert Unterlagen aus über tausend Jahren Zürcher Geschichte. Durch die Aufbewahrung dieser Unterlagen macht es staatliches Handeln nachvollziehbar und ermöglicht historische Forschung. Das Staatsarchiv gewährt allen Interessierten Einsicht in diejenigen Bestände, die keinen Beschränkungen mehr unterliegen. Der grösste Teil der Findmittel zu den Archivbeständen kann online abgefragt werden.

value: ZH-Kt Staatsarchiv - DCAT Harvester


amtliche-vermessung-zg

geography

fr: Géographie

de: Geographie

en: Geography

it: Geografia

territory

fr: Territoire et environnement

de: Raum und Umwelt

en: Territory and environment

it: Territorio e ambiente

title_for_slug: amtliche-vermessung-zg

label: ZugMap.ch, der öffentliche Geodaten-Viewer des GIS Kanton Zug

spatial: Kanton Zug (ZG)

de: geodienste.ch - WFS Amtliche Vermessung

format: WFS

de: geodienste.ch WMS Amtliche Vermessung (MOpublic)

de: Die amtliche Vermessung – ein nationales Produkt – liefert geometrische Daten zum Grundeigentum und ist die Grundlage für viele weitere geografische Informationen und Anwendungen in Wirtschaft, Verwaltung und Privatleben.

name: Amt für Grundbuch und Geoinformation des Kantons Zug

gis-kanton-zug

fr: GIS Kanton Zug

de: GIS Kanton Zug

en: GIS Kanton Zug

de:
Die Abteilung Geoinformation ist das kantonale Kompetenzzentrum für Geoinformation im Kanton Zug.
Wir sind eine zukunftsorientierte Dienstleistungseinheit für die Verwaltung, Werke, Bürgerinnen und Bürger, Wirtschaft und Politik. Kantonale und kommunale Amtsstellen erhalten von uns Unterstützung bei Ihren GIS-Projekten.
Wir sorgen für die Einhaltung einheitlicher Standards bei der Erstellung von Datenmodellen und beim Einsatz der benötigten Software. Beim Beschaffen, Verwalten, Visualisieren, Bearbeiten, und Verteilen der Geodaten arbeiten wir eng mit den Fachämtern zusammen.

value: ZG-Kt - Geocat Harvester

de: Amtliche Vermessung ZG


de: flurname ortsname toponymie

spatial: Kanton Glarus (GL)

de: Flurnamenkarten Glarus

media_type: ZIP

de: WMS-Dienst Kanton Glarus

de: Folgende Layer stehen zur Verfügung: ch.gl.location.flurnamenkarte-glarus_10000,ch.gl.location.flurnamenkarte-glarus_5000

de: Flurnamenkarten Glarus (Lokalnamen und Gewässernamen). Quelle: "Wie heisst es da? Flurnamen der Gemeinde Glarus", ISBN 978-3-033-07261-9. Siehe auch Lokalnamen Glarus.

en: Office of Geoinformation, Canton of Glarus

de: Fachstelle Geoinformation des Kantons Glarus. Zuständig für die kantonale Geodaten-Infrastruktur inklusive Geoportal und Datenbereitstellung.

value: Glarus-kt - Geocat Harvester


maintainer: Henning Löwe

en: discrete-element-modelling granular-snow grain-shape angle-of-repose fast-sintering

en: Angle of repose and 3D CT images

en:
5 Snow types were examined and glass beads as a cohesion-less reference, named as follows:

RG: rounded grains (sieved with 0.7 - 1.4 mm)

FC: faceted grains (1.4 - 2 mm)

FCS: small faceted grains (0.7 - 1.4 mm)

IB: ice beads (4 mm)

IBS: small ice beads (2 - 2.2 mm)

GB: glass beads(2 mm)

media_type: text/plain

format: TXT

mimetype: text/plain

en:
Angle of repose experiments were performed with different snow types at temperatures between -2 and -40°C. They were used to examine granular snow dynamics on the grain-scale with focus on the role of grain shape and cohesion. The angle of repose was observed by sieving snow onto a round, freestanding base until a stationary heap was formed.

This dataset consists of 1) the images of the experimental heaps that were taken to determine the angle of repose, 2) one binary 3D micro computed tomography image of each snow type. The CT images were taken with the SLF micro-CT40 to characterize snow properties and grain shape.

The experiments with natural snow types (rounded and faceted grains) and spherical model snow allowed for an examination of the differences in granular properties between natural grain shapes and spherical particles in view of Discrete Element Modelling. With the chosen temperatures, the effect of sintering could be observed that increases the angle of repose with increasing temperature.

angle-of-repose

display_name: angle-of-repose

discrete-element-modelling

display_name: discrete-element-modelling

fast-sintering

display_name: fast-sintering

grain-shape

display_name: grain-shape

granular-snow

display_name: granular-snow

education

de: Bildung, Wissenschaft

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

value: Envidat Harvester

en: Angle of repose experiments with natural and spherical snow


maintainer: EnviDat Support

en: discharge hydrological-simulations soil-moisture prevah drought-2018 low-flow precipitation

en: Shapefile of 307 catchments in Switzerland

en: Shapefile of 307 catchments for which simulations of precipitation, discharge, soil moisture, and low flow are provided. The OBJECTID entry corresponds to the data columns in the textfiles of the simulated data provided.

en: Low-flow storage

en: Simulated low-flow storage for the 307 medium-sized catchments. The first column provides the date in the format YYYYMMDD. One column corresponds to one catchment. Unit: mm.

en: Precipitation

en: Simulated precipitation for the 307 medium-sized catchments. The first column provides the date in the format YYYYMMDD. One column corresponds to one catchment. Unit: mm/d.

en: Soil moisture

en: Simulated plant-available soil moisture for the 307 medium-sized catchments. The first column provides the date in the format YYYYMMDD. One column corresponds to one catchment. Unit: mm.

en: Discharge

en: Simulated discharge for the 307 medium-sized catchments. The first column provides the date in the format YYYYMMDD. One column corresponds to one catchment. Unit: mm/d.

en: The dataset provides simulated 1) precipitation, 2) discharge, 3) soil moisture, and 4) low-flow simulations for 307 medium-sized catchments in Switzerland for the period 1981-2018. The data were simulated using the hydrological model PREVAH in its gridded-version. The simulated time series are provided at daily resolution. A detailed description of the modeling approach can be found in Brunner et al. 2019 submitted to NHESS.

discharge

display_name: discharge

hydrological-simulations

display_name: hydrological-simulations

low-flow

display_name: low-flow

precipitation

display_name: precipitation

prevah

display_name: prevah

soil-moisture

display_name: soil-moisture

education

en: Education and science

en: Hydro-meteorological simulations for the period 1981-2018 for Switzerland


fr: districts elections politique objets geodonnee lacs cantons carte geometries communes votes

de: gemeinden seen bezirke karte kantone wahlen geodaten politik abstimmungen geometrien

it: politica distretti carte geometrie comuni votazioni cantonali geodati elezioni

author: Bundesamt für Statistik BFS, Office fédéral de la statistique OFS, Ufficio federale di statistica UST

fr: Géométries: Communes (Politique) – Etat au 01.07.2021

de: Geometrien: Gemeinden (Politik) – Stand am 01.07.2021

it: Geometrie: Communi (Politica) – Stato al 01.07.2021

media_type: GeoJSON

format: GeoJSON

mimetype: GeoJSON

fr: Géométries: Communes (Politique) – Etat au 18.10.2020

de: Geometrien: Gemeinden (Politik) – Stand am 18.10.2020

it: Geometrie: Communi (Politica) – Stato al 18.10.2020

media_type: geojson

mimetype: geojson

fr: Géométries: Communes (Politique) – Etat au 01.01.2021

de: Geometrien: Gemeinden (Politik) – Stand am 01.01.2021

it: Geometrie: Communi (Politica) – Stato al 01.01.2021

fr: Géométries: Communes (Politique) – Etat au 01.01.2022

de: Geometrien: Gemeinden (Politik) – Stand am 01.01.2022

it: Geometrie: Communi (Politica) – Stato al 01.01.2022

fr: Géométries: Communes (Politique) – Etat au 01.05.2022

de: Geometrien: Gemeinden (Politik) – Stand am 01.05.2022

it: Geometrie: Communi (Politica) – Stato al 01.05.2022

fr: Géométries: Communes (Politique) – Etat au 01.01.2020

de: Geometrien: Gemeinden (Politik) – Stand am 01.01.2020

it: Geometrie: Communi (Politica) – Stato al 01.01.2020

fr: Topojson contenant les géométries des communes (Politique), les circonscriptions des communes de Zurich et Winterthur, des districts, des cantons, de la Suisse, ainsi que des principaux lacs. Dans le cas d’une communes à urne commune, le dépouillement des bulletins de vote a lieu dans une commune voisine et il n'y a donc qu'un seul résultat pour les deux communes.

de: Topojson mit den Geometrien der Gemeinden (Politik), der Zählkreisen der Gemeinden Zürich und Winterthur, der Bezirke, der Kantone, der Schweiz sowie der wichtigsten Seen. Bei einer Gemeinde mit gemeinsamer Urne findet die Auszählung der Stimmzettel in einer benachbarten Gemeinde statt und es gibt folglich nur ein gemeinsames Resultat für die beiden Gemeinden.

it: Topojson con le geometrie dei Communi (Politica), contando i circoli dei Communi di Zurigo e Winterthur, i Distretti, i Cantoni, la Svizzera e i laghi più importanti. Per Communi con seggio elettorale comune, infatti, lo scrutinio delle schede elettorali avviene in uno dei Comuni vicini. Nel caso di Comuni che condividono lo stesso seggio, al termine dello scrutinio si ha quindi un unico risultato.

fr: Géométries: Communes (Politique) – Etat au 01.01.2023

de: Geometrien: Gemeinden (Politik) – Stand am 01.01.2023

it: Geometrie: Communi (Politica) – Stato al 01.01.2023

fr: Géométries: Communes (Politique) – Etat au 18.04.2021

de: Geometrien: Gemeinden (Politik) – Stand am 18.04.2021

it: Geometrie: Communi (Politica) – Stato al 18.04.2021

de: Topojson mit den Geometrien der Gemeinden (Politik), der Zählkreise der Gemeinden Zürich und Winterthur, der Bezirke, der Kantone, der Schweiz sowie der wichtigsten Seen. Bei einer Gemeinde mit gemeinsamer Urne findet die Auszählung der Stimmzettel in einer benachbarten Gemeinde statt und es gibt folglich nur ein gemeinsames Resultat für die beiden Gemeinden.

abstimmungen

display_name: abstimmungen

bezirke

display_name: bezirke

cantonali

display_name: cantonali

cantons

display_name: cantons

carte

display_name: carte

communes

display_name: communes

comuni

display_name: comuni

distretti

display_name: distretti

districts

display_name: districts

elections

display_name: elections

elezioni

display_name: elezioni

geodaten

display_name: geodaten

geodati

display_name: geodati

geodonnee

display_name: geodonnee

geometrie

display_name: geometrie

geometrien

display_name: geometrien

geometries

display_name: geometries

kantone

display_name: kantone

karte

display_name: karte

lacs

display_name: lacs

objets

display_name: objets

politica

display_name: politica

politik

display_name: politik

politique

display_name: politique

seen

display_name: seen

votazioni

display_name: votazioni

votes

display_name: votes

wahlen

display_name: wahlen

fr: Géométries pour les données de votations

de: Geodaten zu den eidgenössischen Abstimmungsvorlagen

it: Geometrie per gli oggetti in votazione a livello federale

statistical-basis

fr: Bases statistiques

de: Statistische Grundlagen

en: Statistical basis

it: Basi statistiche

bundesamt-fur-statistik-bfs

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

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

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.


en: incoming longwave-radiation weissfluhjoch outgoing shortwave-radiation

en: Processing doc

media_type: application/pdf

format: PDF

mimetype: application/pdf

en: Metadata

en: DATA ACCESS

en: Parameter file

en:
Corrected incoming and outgoing shortwave and longwave 2 min radiation measurements at the Weissfluhjoch summit, Davos, CH.

 References
1. Marty, C., Philipona, R., Frohlich, C., Ohmura, A.. Altitude dependence of surface radiation fluxes and cloud forcing in the alps: results from the alpine surface radiation budget network. 2002. Theoretical and Applied Climatology. Volume 72. Issue 3-4. 137-155. http://dx.doi.org/10.1007/s007040200019. 10.1007/s007040200019.
2. Christoph Marty. Surface Radiation, Cloud Forcing and Greenhouse Effect in the Alps. 2000. Institute fuer Klimaforschung ETH. Zuercher Klima-Schriften. Volume 79. http://e-collection.library.ethz.ch/eserv/eth:23491/eth-23491-01.pdf.

incoming

display_name: incoming

longwave-radiation

display_name: longwave-radiation

outgoing

display_name: outgoing

shortwave-radiation

display_name: shortwave-radiation

weissfluhjoch

display_name: weissfluhjoch

education

fr: Education, science

de: Bildung, Wissenschaft

it: Formazione e scienza

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: ASRB_WFJ: Shortwave and longwave radiation measurements (2 min) at the Weissfluhjoch research site, Davos


en: snow-mechanics x-ray-tomography compression-experiments microstructure snow

en: README

media_type: TXT

en: README file explaining the organization of the data

en: Snowmicroquakes Data

en: Compression experiments, X-ray images and simulation data with supplemented README file

en:
When snow is compressed with a certain speed, micro-snowquakes are triggered in the porous structure of bonded crystals. The present dataset covers uniaxial compression experiments of snow at different strain rates and concurrent X-ray tomography imaging documenting this feature.

The experiments were conducted in a micro-compression stage operated in the X-ray tomography scanner in the SLF cold laboratory. The dataset comprises the compression force data of 17 compression experiments, the 3D image data from 4 X-ray tomography scans and the results of numerical simulations.

compression-experiments

display_name: compression-experiments

microstructure

display_name: microstructure

snow

display_name: snow

snow-mechanics

display_name: snow-mechanics

x-ray-tomography

display_name: x-ray-tomography

de: EnviDat: das Umwelt-Datenportal

en: Compressive stick slip and snow-micro-quakes


lwf-tea-bag-sites

maintainer: Marcus Schaub

title_for_slug: lwf-tea-bag-sites

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

en: Site Information

en: Descriptive information on sites

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

carbon

display_name: carbon

decomposition

display_name: decomposition

forest

display_name: forest

green-tea

display_name: green-tea

litter

display_name: litter

modeling

display_name: modeling

roiboos

display_name: roiboos

tea-bag

display_name: tea-bag

verification

display_name: verification

education

en: Education and science

envidat

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.

en: LWF-Tea bag sites


maintainer: Mahdi Jafari

en: openfoam numerical-simulation convection-in-snow snow-density-profile vapor-transport

en: snowpackBuoyantPimpleFoam

en:
This zipped folder includes (1) the source code files, (2) an example case for simulation, and (3) an instruction how to compile and use the new solver.

Note that the most updated version of snowpackBuoyantPimpleFoam can be found in the WSL/SLF GitLab repository: https://gitlabext.wsl.ch/snow-models/snowpackbuoyantpimplefoam

en: snowpackBuoyantPimpleFoam is a two-phase solver implemented to model convection of water vapor with phase change in snowpacks. This new solver is based on the standard solver of buoyantPimpleFoam in the open-source fluid dynamics software, OpenFOAM 5.0 (www.openfoam.org).

convection-in-snow

display_name: convection-in-snow

numerical-simulation

display_name: numerical-simulation

openfoam

display_name: openfoam

snow-density-profile

display_name: snow-density-profile

vapor-transport

display_name: vapor-transport

en: snowpackBuoyantPimpleFoam: an OpenFOAM Eulerian–Eulerian two-phase solver for modelling convection of water vapor in snowpacks


maintainer: Michael Lehning

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

en: ADS datasets and simulation inputs

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

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

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

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

Please cite:

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

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

alpine-precipitation

display_name: alpine-precipitation

snow

display_name: snow

snow-cover

display_name: snow-cover

snow-distribution

display_name: snow-distribution

snow-hydrology

display_name: snow-hydrology

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


maintainer: Anita C. Risch

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

en:
site.code: Site code

Continent: Continent

sampleID: Sample ID

nn.latitude: Lattitude

nn.longitude: Longitude

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

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

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

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

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

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

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

ch.pH: pH

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

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

ch.porespace: Pore space (vol%)

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

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

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

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

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

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

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

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

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

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

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

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

ch.CtoN: C to N ratio

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

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

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

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

format: XLS

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

Paper Citation:

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

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

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

global

display_name: global

grassland

display_name: grassland

mineralization

display_name: mineralization

nutrient-network

display_name: nutrient-network

soil

display_name: soil

soil-biology

display_name: soil-biology

soil-chemistry

display_name: soil-chemistry

worldwide

display_name: worldwide


maintainer: Vanessa Burg

en: review manure bioenergy switzerland biogas

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

media_type: PDF

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

bioenergy

display_name: bioenergy

biogas

display_name: biogas

manure

display_name: manure

review

display_name: review

switzerland

display_name: switzerland

education

en: Education and science


en: wrf cryowrf landuse antarctica topography

en: WPSinput

en: Input files to run the Weather Research and Forecasting model (WRF) preprocessing system WPS with REMA topography and AntarcticaLC2000 landuse data (see Documentation for details).

en: Scripts

en: Scripts to run the preprocessing to produce WRF binary tiles from REMA and AntarcticaLC2000 for topography and landuse (see Documentation for procedure).

en: Documentation

en: Documentation about how the provided dataset was produced including details to reproduce the dataset.

en:
Reference Elevation Model of Antarctica (REMA) topography and AntarcticaLC2000 landuse data
are now available as static data input for the Weather Research and Forecasting model (WRF). Topography
and landuse are made available at a spatial resolution of 1 km. This documentation describes the methods
applied to convert REMA and AntarcticaLC2000 to WRF readable format and shows how this improves
the representation of the Antarctic topography and landuse categories over coastal Antarctic regions.

antarctica

display_name: antarctica

cryowrf

display_name: cryowrf

landuse

display_name: landuse

topography

display_name: topography

wrf

display_name: wrf

en: REMA topography and AntarcticaLC2000 for WRF


radar-wind-profiler-davos-wolfgang

maintainer: Maxim Hervo

title_for_slug: radar-wind-profiler-davos-wolfgang

en: raclets wolfgangpass radar wind-speed wind-direction

en: Radar Wind Profiler Data

en: A Vaisala Lap3000 was installed at Davos Wolfgang to record wind profiles. The time format is number of days fom January 0, 0000 in UTC with a 10 minute resolution.

en: The RADAR wind profiler from Meteoswiss was installed at Davos Wolfgang (LON: 9.853594, LAT: 46.835577) and measured from 2171 m above sea level to 11079 m, with a temporal resolution of 10 minutes.

raclets

display_name: raclets

radar

display_name: radar

wind-direction

display_name: wind-direction

wind-speed

display_name: wind-speed

wolfgangpass

display_name: wolfgangpass

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: RADAR Wind profiler Davos Wolfgang


maintainer: Sebastian Schlögl

en: turbulent-sensible-heat-fluxes stable-boundary-layer snow atmosphere atmospheric-turbulence

en: Turbulence data AA00

en: sensor in 1 m height

en: sensor in 0.2 m height

en: Turbulence data PM07

en: NWW

en: Turbulence data GR00

en: Turbulence data WFJ07

en: upper sensor

en: sensor in 25 m height

en: SEE

en: Turbulence data WFJ11

en: sensor in 2 m height

en: lower sensor

en:
We used five different atmospheric turbulence datasets from four test sites, with these sites showing differences in their topographical characteristics. We chose one typical alpine test site with high topographical complexity (Weissfluhjoch, Davos, Switzerland) and three test sites consisting of one glacier site (Plaine Morte, Crans-Montana, Switzerland) and two polar sites (Greenland and Antarctica) representing a quasi-ideal site with homogeneous surface and quasi infinite fetch in all directions.
The turbulent sensible heat flux was calculated using the eddy-covariance method. Note that the sonic temperature fluctuations have been converted into virtual temperature fluctuations.
Three-dimensional wind velocity and air temperature were processed using a linear detrending (Rannik and Vesala, 1999) and a planar fit approach (Massmann and Lee, 2002) to rotate the coordinate system. Air temperature, relative humidity and air pressure from weather stations were used to calculate air properties, which are required for the data processing. The weather stations are located in the immediate vicinity of the turbulence tower and are affected by the same air masses. Turbulence data were averaged to 30-min intervals, whilst changing to a 15-min time interval marginally affects the heat fluxes at the Weissfluhjoch test site (Mott et al., 2011). Note that we define a negative sensible heat flux as being directed towards the snow surface and a positive sensible heat flux as being directed upwards.
The selected datasets and corresponding test sites are briefly introduced below:

Weissfluhjoch 2007 (WFJ07): A vertical set-up of two three-dimensional ultrasonic anemometers (CSAT3, Campbell Scientific, Inc.) was used at the traditional field site Weissfluhjoch (2540 m asl.) to measure three-dimensional wind velocity and air temperature at a frequency of 20 Hz. The sensors were mounted 3 m and 5 m above the ground and provided reliable data for 50 days between 11 February 2007 and 24 April 2007. Further information on the field campaign can be found in Stössel et al. (2010) and Mott et al. (2011).

Weissfluhjoch 2011-13 (WFJ11): Three-dimensional wind velocity and air temperature were recorded at 5 m above the ground at a frequency of 10 Hz with a three-dimensional ultrasonic anemometer (CSAT3). The analysis was conducted for data obtained between February and March in the years 2011-13.

Plaine Morte 2007 (PM07): Two three-dimensional ultrasonic anemometers (CSAT3) were installed on a horizontal boom facing opposite directions (west-north-west vs. east-south-east) at 3.75 m above the ground to measure air temperature and three-dimensional wind velocity at 20 Hz. The data were collected at the almost flat field site on the Plaine Morte glacier (2750 m asl.) near Crans-Montana, Switzerland from February to April 2007. High quality meteorological data were additionally recorded and used to force the model. A detailed description about the set-up at the Plaine Morte glacier can be found in Huwald et al. (2009) and Bou-Zeid et al. (2010).

Greenland 2000 (GR00): High-frequency three-dimensional ultrasonic anemometer measurements (CSAT3) were recorded at 50 Hz at the Summit Camp (72.3 °N, 38.8 °W, 3208 m asl.) located on the northern dome of the Greenland ice sheet. Data were collected at 1 m and 2 m above the snow surface during summer in 2000 and 2001. Additionally, meteorological measurements were obtained for the post processing and used to force the model. More information about the field campaign can be found in Cullen et al. (2007, 2014).

Antarctica 2000 (AA00): A set-up of three vertical three-dimensional ultrasonic anemometers (DA-600, Kaijo Denki) were installed at Mizuho Station (70°42' S, 44°20' E, 2230 m asl.) in Eastern Antarctica at 0.2, 1 and 25 m and recorded turbulence data at a frequency of 100 Hz from October to November 2000. Longwave and shortwave radiation, relative humidity, air and snow surface temperature were additionally measured and used to force the model. More information about the field campaign can be found in Nishimura and Nemoto (2005).

atmosphere

display_name: atmosphere

atmospheric-turbulence

display_name: atmospheric-turbulence

snow

display_name: snow

stable-boundary-layer

display_name: stable-boundary-layer

turbulent-sensible-heat-fluxes

display_name: turbulent-sensible-heat-fluxes

education

en: Education and science

en: How do stability corrections perform in the stable boundary layer over snow?


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

en: Dataset

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

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


en: snow-density snow-stratigraphy snow-ice-temperature weisfluhjoch snow-water-equivalent

en: README

en: README file giving use metadata.

en: WFJ Snow Profiles 1999-2014

en:
Biweekly manual snow profiles from Weissfluhjoch, Davos, Switzerland.
Version: 2015-09-14T16:25

en: Dataset of manual bi-weekly snow profiles from Weissfluhjoch, Davos, Switzerland. Typical snow profile measurements and observations are included (temperature, density, grain size, grain type, hardness, wetness), following the guidelines of the The International Classification for Seasonal Snow on the Ground (ICSSG) [Fierz, C., Armstrong, R.L., Durand, Y., Etchevers, P., Greene, E., McClung, D.M., Nishimura, K., Satyawali, P.K. and Sokratov, S.A. 2009. The International Classification for Seasonal Snow on the Ground. IHP-VII Technical Documents in Hydrology N°83, IACS Contribution N°1, UNESCO-IHP, Paris].

snow-density

display_name: snow-density

snow-ice-temperature

display_name: snow-ice-temperature

snow-stratigraphy

display_name: snow-stratigraphy

snow-water-equivalent

display_name: snow-water-equivalent

weisfluhjoch

display_name: weisfluhjoch

en: Manual bi-weekly snow profiles from Weissfluhjoch, Davos, Switzerland


mountain-permafrost-hydrology

maintainer: Jeannette Noetzli

title_for_slug: mountain-permafrost-hydrology

en: ice-rich-permafrost permafrost-degradation climate-change-impacts monitoring-techniques mass-movements mountain-permafrost-hydrology

en: Synthesis report chapter of the Hydro-CH2018 project of the Federal Office for the Environment (FOEN)

en: DORA Persistent URL

en: This report was prepared as one of the synthesis report chapters of the Hydro-CH2018 project of the Federal Office for the Environment (FOEN). In earlier reports such as the CH2014-IMPACTS report (CH-Impacts 2014), the topic of mountain permafrost hydrology was not addressed. Here, we provide a baseline of the available knowledge of mountain permafrost in the Swiss Alps for future reference. We compile an overview of the current understanding of mountain permafrost in the Swiss Alps, its distribution and characteristics, observed and projected changes, and expected impacts on slope stability, infrastructure and hydrological aspects. We also briefly describe the measurement techniques and modelling approaches applied. The chapter closes with a summary of the most important open research questions. The literature cited mainly includes studies on mountain permafrost published in scientific journals and assessments of long-term observation data. We focus on permafrost hydrology interactions wherever information is available. However, systematic studies on permafrost hydrology in mountain areas are still limited.

climate-change-impacts

display_name: climate-change-impacts

ice-rich-permafrost

display_name: ice-rich-permafrost

mass-movements

display_name: mass-movements

monitoring-techniques

display_name: monitoring-techniques

mountain-permafrost-hydrology

display_name: mountain-permafrost-hydrology

permafrost-degradation

display_name: permafrost-degradation

en: Mountain Permafrost Hydrology


en: particles hill deposition snow turbulence atmosphere dust

en: preferential deposition patterns of all simulations performed

en: The data consist of matlab files. Each files contains a 2D array with the values of deposition at the surface nodes. Each array has Nx x Ny values. Please refer to the original paper for additional information on the spatial resolution and grid size.

en:
Preferential deposition of snow and dust over complex terrain is responsible for a wide range of environmental processes, and accounts for a significant source of uncertainty in surface mass balances of cold and arid regions. Despite the growing body of literature on the subject, previous studies reported contradictory results on the location and magnitude of deposition maxima and minima. This study aims at unraveling the governing processes of preferential deposition in neutrally stable atmosphere and to reconcile seemingly inconsistent results of previous works. For this purpose, a comprehensive modeling approach is developed, based on large eddy simulations of the turbulent airflow, Lagrangian stochastic model of particle trajectories, and immersed-boundary method to represent the underlying topography. The model performance is tested against wind tunnel measurements of dust deposition around isolated and sequential hills. A scale analysis is then performed to investigate the dependence of snowfall deposition on the particle Froude and Stokes numbers, which fully account for the governing processes of inertia, flow advection, and gravity. Additional simulations are performed, to test whether the often used assumption of inertialess particles yields accurate deposition patterns. We finally show that our scale analysis provides qualitatively similar results for hills with different aspect ratios.

This dataset contains the results of the LES-LSM model. Each Matlab file contains a 2D array of deposition values (in kg/m2) in each surface node (ix, iy) of the Cartesian grid. The file names are consistent with the simulation numbers listed in the original paper. For additional information, please refer to "Preferential deposition of snow and dust over hills: governing processes and relevant scales" by F. Comola, M. G. Giometto, S. T. Salesky, M. B. Parlange, and M. Lehning, Journal of Geophysical Research: Atmospheres, 2019.

atmosphere

display_name: atmosphere

deposition

display_name: deposition

dust

display_name: dust

hill

display_name: hill

particles

display_name: particles

snow

display_name: snow

turbulence

display_name: turbulence

education

en: Education and science


maintainer: Francesco Comola

en: snow sediment cohesion wind saltation sand

en: Output of the model simulations

en: Model results on granular splash and saltation process of sand and snow particles

en:
The wind-driven saltation of sand and snow shapes dunes and ripples, generates dust emission, and erodes the surface of the Antarctic ice sheet. Here, we use a model based on the discrete element method to simulate grain-flow interactions and study the effect of particle cohesion on saltation dynamics.

The data contains the model output of granular splash simulations and saltation simulations. Granular splash, the main particle entrainment process in saltation, occurs upon impact of saltating particles with the granular bed. We performed Monte Carlo simulations of granular splash for loose sand grains and for cohesive ice grains. The analysis indicate that different values of cohesion have significant effects not on the number of splashed grains, on the ejection velocity, and the rebound velocity.

In our saltation simulations, we trigger particle movement with a single splash event at the inlet section section and let the system evolve until steady state. Our results show that saltation over cohesive surfaces is difficult to initiate but easy to sustain at low wind speed. The occurrence of transport thus depends on the history of the wind speed, a phenomenon known as hysteresis. We also show that saltation over cohesive surfaces presents higher mass fluxes but requires longer distances to saturate, which increases the size of the smallest stable surface ripples. Our model results have implications for large-scale aeolian processes on Earth and Titan, where sand grains are thought to be very cohesive.

cohesion

display_name: cohesion

saltation

display_name: saltation

sand

display_name: sand

sediment

display_name: sediment

wind

display_name: wind

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: Saltation of cohesive granular materials


en: snow-stability-evaluation avalanche snowpack snow avalanche-forecast

en: README

en: README file explaining data structure and content

en: Stability tests

en: Stability tests including csv-files with CT, ECT and PST experiments for each year and each field site.

en: Extracted data

en: Extracted data contain validation and results published in Richter et al. (2019).

en: Manually observed snow profiles

en: Manually observed snow profiles as csv-files containing depth [cm], thickness [cm], density [kg m-3], hand hardness, first grain type, second grain type, first grain size [mm], and second grain size [mm] of each layer.

en: SNOWPACK simulations

en: This dataset contains all SNOWPACK simulations, including input files, setup and output files.

en:
To validate the critical crack length as implemented in the snow cover model SNOWPACK, PST experiments were conducted for three winter seasons (2015-2017) at two field site above Davos, Switzerland. This dataset contains manually observed snow profiles and stability tests. Furthermore, corresponding SNOWPACK simulations are included.
These data were analyzed and results were published in Richter et al. (2019).

Please refer to the Readme file for further details on the data.

These data are the basis of the following publication:
Richter, B., Schweizer, J., Rotach, M. W., and van Herwijnen, A.: Validating modeled critical crack length for crack propagation in the snow cover model SNOWPACK, The Cryosphere, 13, 3353–3366, https://doi.org/10.5194/tc-13-3353-2019, 2019.

avalanche

display_name: avalanche

avalanche-forecast

display_name: avalanche-forecast

snow-stability-evaluation

display_name: snow-stability-evaluation

snowpack

display_name: snowpack

en: Validating and improving the critical crack length in SNOWPACK


en: discharge climate-change-impact model water-temperature hydrology

en: Data access

media_type: .zip

en:
This work presents the first extensive study of climate change impacts on rivers temperature in Switzerland. Results show that even for low emissions scenarios, water temperature increase will lead to adverse effect for both ecosystems and socioeconomic sectors (such as nuclear plant cooling) throughout the 21st century. For high emissions scenarios, the effect will be worsen. This study also shows that water warming in summer will be more important in Alpine regions than in lowlands.
This material is distributed under CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/legalcode).

climate-change-impact

display_name: climate-change-impact

discharge

display_name: discharge

hydrology

display_name: hydrology

model

display_name: model

water-temperature

display_name: water-temperature

education

en: Education and science

en: Dataset for: Future water temperature of rivers in Switzerland under climate change investigated with physics-based models


weather-station-davos-wolfgang

maintainer: Jörg Wieder

title_for_slug: weather-station-davos-wolfgang

en: temperature relative-humidity raclets weather pressure

en: Weather Station Davos Wolfgang

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

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

pressure

display_name: pressure

raclets

display_name: raclets

relative-humidity

display_name: relative-humidity

temperature

display_name: temperature

weather

display_name: weather

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: meteoswiss complex-terrain cosmo-wrf numerical-simulation high-resolution

en: WPSSetup

en: Scripts that need to be changed to compile WPS (see COSMOWRFdocumentation.pdf, Section 4)

en: COSMO-WRF documentation v1.0

en:
Gerber, Franziska; Sharma, Varun (2018). Running COSMO-WRF on very-high resolution over complex terrain. EnviDat. doi:10.16904/envidat.35

Documentation about the procedure to run COSMO-WRF

en: StaticData

en:
Scripts to process geographical/static data (see Section 3 in COSMOWRFdocumentation.pdf).
- ascii_to_bin_landuse.f90
- ascii_to_bin_soiltype.f90
- ascii_to_bin_topo_wgs84_ws2sf1.f90
- see_slopes.ncl
- soiltype_writing.py
- toposmooth_wgs84_cosmobound.ncl
- write_geogrid.o

en: MeteorologicalData

en: Scripts to process meteorological data (see Section 2 in COSMOWRFdocumentation.pdf).

en: WPSrun

en: Scripts to run the WRF pre-processing (WPS) for COSMO-WRF simulation (see Section 5 in COSMOWRFdocumentation.pdf)

en: Postprocessing

en: Postprocessing scripts to map WRF output on swiss coordinates (see Section 7 in COSMOWRFdocumentation.pdf)

en: WRFrun

en: Scripts to run COSMO-WRF simulation (see Section 6 in COSMOWRFdocumentation.pdf)

en: This is a technical documentation of the procedure to run the Weather Research and Forecasting (WRF) model over complex alpine terrain using Consortium for Small-Scale Modeling (COSMO) reanalysis by the Federal Office of Meteorology and Climatology (MeteoSwiss) as initial and boundary conditions (COMSO-WRF). The setup is adapted for very high resolution simulations based on COSMO-2 (2.2 km resolution) reanalysis. This document gives an overview over steps to setup COSMO-WRF and adaptations needed to run COSMO-WRF. Additionally, the calculation of precipitation rate at a horizontal plane and remapping COSMO-WRF output on Swiss coordinates are documented.

complex-terrain

display_name: complex-terrain

cosmo-wrf

display_name: cosmo-wrf

high-resolution

display_name: high-resolution

meteoswiss

display_name: meteoswiss

numerical-simulation

display_name: numerical-simulation


en: latent-semantic-analysis national-dishes agro-food-trade food-preferences food-taste-similarity

en: National dishes, migration data and data for bilateral food trade flows

media_type: Stata dta file

en:
The data include information on national dishes, migration data and data for bilateral food
trade flows for 5 years as well as importer and exporter GDP, population, distance between
most populated cities, bilateral information on Preferential Trade Agreements, common
official primary langauge, common colonizer post-1945, colonial relationship for overall
171 countries. The final data set contains 145,350 observations (29,070 country pairs for
5 years)

en: information on ingredients of national dishes

media_type: .csv

en: shows information of ingredients of all national dishes of 171 countries and their names

en: dyadic food similarity measures, pairwise similarity and dissimilarity (chord diagram)

en:
The figures show the distribution of two dyadic food tastes similarity measures on the base of
the national dishes: (i) the Manhattan distance and the (ii) latent semantic analysis. The chord diagram
shows the results for country pairs with most and less similarity on basis of the LSA-approach.

en: The data described in this article were collected daily over the period 4 June 2018 to 23 August 2018 and contains information of several data sources. The database includes information on national recipes and their ingredients for 171 countries, measures for food taste similarities between all 171 countries as well as bilateral migration and agro-food trade data for 5 years. The database can be used for analyzing e.g., the relation between food preferences and international trade or food preferences and health outcomes (e.g., obesity) across countries.

agro-food-trade

display_name: agro-food-trade

food-preferences

display_name: food-preferences

food-taste-similarity

display_name: food-taste-similarity

latent-semantic-analysis

display_name: latent-semantic-analysis

national-dishes

display_name: national-dishes

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal

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

en: Data of national dishes, their similarity and trade flows


maintainer: Matthias Haeni

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

en: Forest station data (NAB)

en: Data file.

en: Site aerial photo (Nationalpark)

media_type: image/jpeg

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

mimetype: image/jpeg

en: Field station data (NAF)

en: Data plot of the forest station (NAB)

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

en: Data plot of the field station (NAF)

en: Site photo of the forest station (NAB)

en: Site photo of the forest station from the side.

en: Site photo of the field station (NAF)

en: Site photo of the field station form the side.

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 Nationalpark in Switzerland where one station is located within a natural coniferous forest stand (NAB) with mountain pine (_Pinus mugo_; 210 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, NAF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Nationalpark is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

swiss-forest-lab

display_name: swiss-forest-lab

wind-speed

display_name: wind-speed

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


en: python aws consistent antarctica cryowrf

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

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

The following data sources are taken into account:

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

Important notes

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

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

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

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

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

antarctica

display_name: antarctica

aws

display_name: aws

consistent

display_name: consistent

cryowrf

display_name: cryowrf

python

display_name: python

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal

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

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


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

en: Snow depth maps

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

en: Terrain elevation maps

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

en: Canopy height maps

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

en: Readme

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

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

airborne-laser-scanning

display_name: airborne-laser-scanning

canopy-height

display_name: canopy-height

forest-structure

display_name: forest-structure

snow-depth

display_name: snow-depth

snow-distribution

display_name: snow-distribution

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


fr: donnees communes canton weekend votation scrutin communaux objets initiative districts dimanche temps-reel populaire resultat politique votes cantonal direct

de: kantonsergebnisse echtzeitdaten gemeindeergebnisse abstimmungen abstimmungssonntag politik echtzeitergebnisse kantonsresultate bezirksresultate abstimmungsvorlagen abstimmungsergebnisse abstimmungsresultate vorlagen kantonal abstimmungswochenende gemeinderesultate volksinitiative bezirksergebnisse echtzeit volksabstimmungen

it: reale distretti cantonali popolare comuni progetto tempo iniziativa votazioni politica risultati

fr: Votation populaire du 09.02.2020 – objets cantonaux

de: Volksabstimmung vom 09.02.2020 – Kantonale Vorlagen

it: Votazione popolare del 09.02.2020 – oggetti cantonali

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fr: Objets cantonaux dans les cantons: ZH, BE, FR, SO, BS, SH, SG, GR, AG, TG, TI, NE, GE

de: Kantonale Vorlagen in den Kantonen: ZH, BE, FR, SO, BS, SH, SG, GR, AG, TG, TI, NE, GE

it: Oggetti cantonali nei cantoni: ZH, BE, FR, SO, BS, SH, SG, GR, AG, TG, TI, NE, GE

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de: Kantonale Vorlagen in den Kantonen: BE, UR, SZ, OW, NW, SO, BS, SH, GR, GE

it: Oggetti cantonali nei cantoni: BE, UR, SZ, OW, NW, SO, BS, SH, GR, GE

fr: Votation populaire du 20.10.2019 – objets cantonaux

de: Volksabstimmung vom 20.10.2019 – Kantonale Vorlagen

it: Votazione popolare del 20.10.2019 – oggetti cantonali

fr: Objets cantonaux dans les cantons: UR, JU

de: Kantonale Vorlagen in den Kantonen: UR, JU

it: Oggetti cantonali nei cantoni: UR, JU

fr: Votation populaire du 15.05.2022 – objets cantonaux

de: Volksabstimmung vom 15.05.2022 – Kantonale Vorlagen

it: Votazione popolare del 15.05.2022 – oggetti cantonali

fr: Objets cantonaux dans les cantons: ZH, BE, UR, FR, SO, BL, SH, SG, AG, TI, NE, GE, JU

de: Kantonale Vorlagen in den Kantonen: ZH, BE, UR, FR, SO, BL, SH, SG, AG, TI, NE, GE, JU

it: Oggetti cantonali nei cantoni: ZH, BE, UR, FR, SO, BL, SH, SG, AG, TI, NE, GE, JU

fr: Votation populaire du 25.09.2022 – objets cantonaux

de: Volksabstimmung vom 25.09.2022 – Kantonale Vorlagen

it: Votazione popolare del 25.09.2022 – oggetti cantonali

fr: Objets cantonaux dans les cantons: ZH, BE, LU, UR, OW, BS, SH, AR, SG, AG, VD, NE

de: Kantonale Vorlagen in den Kantonen: ZH, BE, LU, UR, OW, BS, SH, AR, SG, AG, VD, NE

it: Oggetti cantonali nei cantoni: ZH, BE, LU, UR, OW, BS, SH, AR, SG, AG, VD, NE

fr: Votation populaire du 07.03.2021 – objets cantonaux

de: Volksabstimmung vom 07.03.2021 – Kantonale Vorlagen

it: Votazione popolare del 07.03.2021 – oggetti cantonali

fr: Objets cantonaux dans les cantons: ZH, BE, LU, ZG, BL, GE

de: Kantonale Vorlagen in den Kantonen: ZH, BE, LU, ZG, BL, GE

it: Oggetti cantonali nei cantoni: ZH, BE, LU, ZG, BL, GE

fr: Votation populaire du 30.10.2022 – objets cantonaux

de: Volksabstimmung vom 30.10.2022 – Kantonale Vorlagen

it: Votazione popolare del 30.10.2022 – oggetti cantonali

fr: Objets cantonaux dans les cantons: TI

de: Kantonale Vorlagen in den Kantonen: TI

it: Oggetti cantonali nei cantoni: TI

fr: Votation populaire du 24.11.2019 – objets cantonaux

de: Volksabstimmung vom 24.11.2019 – Kantonale Vorlagen

it: Votazione popolare del 24.11.2019 – oggetti cantonali

fr: Objets cantonaux dans les cantons: SZ, NW, ZG, BS, BL, GE

de: Kantonale Vorlagen in den Kantonen: SZ, NW, ZG, BS, BL, GE

it: Oggetti cantonali nei cantoni: SZ, NW, ZG, BS, BL, GE

fr: Votation populaire du 30.06.2019 – objets cantonaux

de: Volksabstimmung vom 30.06.2019 – Kantonale Vorlagen

it: Votazione popolare del 30.06.2019 – oggetti cantonali

fr: Objets cantonaux dans les cantons: FR, SG

de: Kantonale Vorlagen in den Kantonen: FR, SG

it: Oggetti cantonali nei cantoni: FR, SG

fr: Votation populaire du 26.09.2021 – objets cantonaux

de: Volksabstimmung vom 26.09.2021 – Kantonale Vorlagen

it: Votazione popolare del 26.09.2021 – oggetti cantonali

fr: Objets cantonaux dans les cantons: BE, LU, UR, SZ, SO, BS, SG, TI, NE

de: Kantonale Vorlagen in den Kantonen: BE, LU, UR, SZ, SO, BS, SG, TI, NE

it: Oggetti cantonali nei cantoni: BE, LU, UR, SZ, SO, BS, SG, TI, NE

fr: Votation populaire du 17.11.2019 – objets cantonaux

de: Volksabstimmung vom 17.11.2019 – Kantonale Vorlagen

it: Votazione popolare del 17.11.2019 – oggetti cantonali

fr: Objets cantonaux dans les cantons: SH, SG

de: Kantonale Vorlagen in den Kantonen: SH, SG

fr: Votation populaire du 28.11.2021 – objets cantonaux

de: Volksabstimmung vom 28.11.2021 – Kantonale Vorlagen

it: Votazione popolare del 28.11.2021 – oggetti cantonali

fr: Objets cantonaux dans les cantons: ZH, LU, UR, OW, BS, BL, SH, VS, NE, GE

de: Kantonale Vorlagen in den Kantonen: ZH, LU, UR, OW, BS, BL, SH, VS, NE, GE

it: Oggetti cantonali nei cantoni: ZH, LU, UR, OW, BS, BL, SH, VS, NE, GE

fr:
Un service web pour des résultats en temps réel le dimanche de votations. Les données sont mises à jour en continu sur la base des résultats communaux livrés par les cantons. Les données sont mises à jour à partir de midi, dès la clôture du dernier scrutin.
### Documentation
* [Changelog](https://bfspoku.github.io/ogd/changelog-ka.html "Changelog")

de:
Webservice für Echtzeit-Ergebnisse am Abstimmungssonntag. Die Daten werden laufend mit den Gemeinderesultaten aus den Kantonen aktualisiert. Die Daten werden nach der Schliessung der letzten Urne um 12 Uhr erstmals aktualisiert.
### Dokumentation
* [Changelog](https://bfspoku.github.io/ogd/changelog-ka.html "Changelog")

it:
Webservice per i risultati in tempo reale durante la domenica delle votazione. I dati, aggiornati per la prima volta dopo la chiusura dell’ultima urna alle ore 12.00, sono costantemente adeguati ai risultati comunali dei Cantoni.
### Documentazione
* [Changelog](https://bfspoku.github.io/ogd/changelog-ka.html "Changelog")

fr: Des données en temps réel les jours de votations cantonales

de: Echtzeitdaten am Abstimmungstag zu kantonalen Abstimmungsvorlagen

it: Dati in tempo reale nel giorno delle votazioni per gli oggetti in votazione a livello cantonale

name: Bundesamt für Statistik BFS, Office fédéral de la statistique OFS, Ufficio federale di statistica UST

bundesamt-fur-statistik-bfs

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.


dischmex-meteorological-measurements

maintainer: Rebecca Mott

title_for_slug: dischmex-meteorological-measurements

en: meteo-station dischmex dischma meteorological-measurements meteorological-data

en: Meteorological measurement 2015

en: Location of the meteorological stations

en: Overview sensors

en: Meteorological measurements 2016

en: Meteorological measurement 2014

en: data

en: Meteorological measurements 2014

en:
Meteorological measurements recorded in the Dischma valley from 2014-2016. In 2014 and 2015 we used 11 mobile weather stations from sensorscope to record meteorological parameter in the upper Dischma valley in the closer surroundings of the Gletschboden area. The meteorological stations are eqiupped with at least air temperature/humidity, wind velocity and wind direction sensors. Some stations are additionally equipped with precipitation, shortwave radiation and snow surface temperature sensors.
Three transects were installed at different aspects and were equipped with air temperature/humidity and wind sensors. Transect 1 (stations 2-4) provides meteorological Information on an east-north-east facing slope at elevations ranging between 2100 m and 2500 m. Transect 2 (stations 5-7) provides meteorological Information on a south-west slope and transect 3 (stations 8-10) on a north-west slope. Station 1 is fully equipped with meteorological sensors (temperature/humidity, wind, IR, up and downwand shortwave radiation and precipitation).
In 2016, mobile stations from sensorscope were replaced with six permanent meteorological stations. Meteorological stations 1-3 are equipped with an air temperature/humidity sensor, two wind speed sensors, a wind direction sensor and an incoming and outgoing shortwave radiation sensor. Stations 4 and 6 are equipped with an air temperature/humidity sensor and a wind speed/direction sensor. Station 5 is a equipped with an air temperature/humidity sensor, a wind speed/direction sensor, a snow surface temperature sensor, an incoming and outgoing shortwave radiation sensor and an incoming longwave radiation sensor.

dischma

display_name: dischma

dischmex

display_name: dischmex

meteo-station

display_name: meteo-station

meteorological-data

display_name: meteorological-data

meteorological-measurements

display_name: meteorological-measurements

education

fr: Education, science

de: Bildung, Wissenschaft

it: Formazione e scienza

envidat

fr: EnviDat: le portail de données environnementales

de: EnviDat: das Umwelt-Datenportal

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.

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.

en: DISCHMEX - Meteorological measurements


en: development-priorities spatial-information strategic-plans europe urban-region

en: Planning intentios

en:
The present dataset is part of the report titled Gradinaru S.R., Hersperger A.M., Schmid F. (2021). Deriving Planning Intentions from written planning documents. Report on CONCUR Project- From plans to land change: how strategic spatial planning contributes to the development of urban regions.
The data corresponds to the data collected as part of the DPI Method for deriving all PIs contained in a plan (open coding) as detailed in section 4 of the report. The method involved reading the plans to break down of information in meaningful discrete “incidents” or planning intentions. To identify the planning intentions, the starting points were represented by a) the structuring of the plans in chapters and sub chapters and b) the themes that the plans addressed. Thus, the collected information was not grouped according to pre-defined categories of planning intentions, but rather put together as a list of intentions as revealed by each plan. As a result, we provide, for each case study, a document (named [Urban region name] PI as defined in the plan) which contains:
	Date when the information was filled in.
	Name of the urban region and analysed strategic spatial plan .
	A list of all planning intentions contained in a plan, with each PI being addresses as follows:
	Name of PI as it appears in the plan
	Translated name of the PI (i.e. short name for easy understanding of the meaning)
	Explanation regarding the meaning of the PI
	Why the PI is considered a priority for the urban region
	Spatial information on the PI (text and cartographic representations).
In total, 14 documents are available, one for each case study. Documents contain up to 20 pages of information extracted from the plans together with explanations and notes taken during plan reading.

development-priorities

display_name: development-priorities

europe

display_name: europe

spatial-information

display_name: spatial-information

strategic-plans

display_name: strategic-plans

urban-region

display_name: urban-region

education

en: Education and science

envidat

en: EnviDat: the Environmental Data Portal

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

en: Planning intentions in strategic plans of European urban regions


en: simple-sequence-repeats nuclear-microsatellite-markers population-genetics multilocus-genotypes switzerland trichopria-drosophilae biological-control drosophila-suzukii

en: Table comprising all pertinent information for multiplex PCRs of species-specific nuclear microsatellite makers for Trichopria drosophilae, comprising all 21 newly developed markers, details on full sequences with GenBank accession numbers, primer sequences (including labeling and pig-tails), and repeat motives. PCRs with respective annealing temperatures (AnnealingTemp) refer to Type-It Multiplex PCR Kit (Qiagen, Hilden, Germany).

en: Multilocus genotypes (biallelic coding for 21 nuclear microsatellites) of Trichopria drosophilae described in Gugerli et al. Agrarforschung Schweiz 2019. Missing data denoted as '999'. Population codes (PopNo) are the following: 1, Vezia; 3, Contone ; 5, Davesco; 6, Corteglia; 7, Mezzana; 8, Stabio; 9, Gordola; 10, Sementina; 12, Brusata di Novazzano; 14, Monteggio; 16, Giubiasco; 17, ComoBP; 18, VD; 19, Weil_D; 20, Dossenheim; 21, BioPlanet_Como. Coordinates (CoordCH_E, CoordCH_N) refer to the Swiss coordinates system CH1903.

en:
 Nuclear microsatellite markers and genotype data for _Trichopria ddrosophilae_

This data set comprises (i) the characteristics of a set of 21 species-specific nuclear microsatellites for PCR amplification in _Trichopria drosophilae_ (ii) and genotype data for samples collected in southern Switzerland (Canton of Ticino), with few reference samples from Canton of Vaud, southern Germany, and northern Italy (lab-reared population).
Markers were developed by Ecogenics GmbH, Balgach (Switzerland), using MiSeq Nano 2x250 v2 format (on a mix of 10 individuals). Multiplex PCR assays for multilocus genotyping were established by Ecological Genetics (WSL Birmensdorf), and population genetic analyses are found in Gugerli et al., Agrarforschung Schweiz 2019.

biological-control

display_name: biological-control

drosophila-suzukii

display_name: drosophila-suzukii

multilocus-genotypes

display_name: multilocus-genotypes

nuclear-microsatellite-markers

display_name: nuclear-microsatellite-markers

population-genetics

display_name: population-genetics

simple-sequence-repeats

display_name: simple-sequence-repeats

switzerland

display_name: switzerland

trichopria-drosophilae

display_name: trichopria-drosophilae

en: Nuclear microsatellite markers for Trichopria drosophilae, parasitoid wasp on Drosophila suzukii


maintainer: Avalanche Warning Service SLF

en: Avalanche fatalities per year in Switzerland since 1936/1937

media_type: CSV

en:
This dataset contains the statistics on the number of avalanche fatalities per hydrological year in Switzerland. The data set commences with the beginning of the hydrological year 1936/37 on 01/10/1936. After the completion of a hydrological year, the new data is appended to the existing dataset.

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

The definition for these four categories as described in the guidelines to the avalanche accident database:

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

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

**transportation.corridors** ([Techel et al., 2016](http://www.geogr-helv.net/71/147/2016/ )):
people travelling or recreating on open or temporarily closed
transportation corridors (e.g. a road user or a skier on a ski run) and people working on open or closed transportation corridors (e.g. maintenance crews on roads, professional rescue teams)

**buildings** ([Techel et al., 2016](http://www.geogr-helv.net/71/147/2016/ )):
people inside or just outside buildings, and workers on high alpine building
sites

avalanche-accident-statistics

display_name: avalanche-accident-statistics

avalanche-accidents

display_name: avalanche-accidents

avalanche-fatalities

display_name: avalanche-fatalities

fatalities-in-or-around-buildings

display_name: fatalities-in-or-around-buildings

fatalities-in-settlements

display_name: fatalities-in-settlements

fatalities-in-the-backcountry

display_name: fatalities-in-the-backcountry

fatalities-on-transportation-corridors

display_name: fatalities-on-transportation-corridors

en: Number of avalanche fatalities per hydrological year in Switzerland since 1936-1937