opendata.swiss is the central portal for open, i.e., freely accessible data from Swiss authorities (Open Government Data, OGD). The opendata.swiss portal provides users with simple and secure central access to open data from the Confederation, cantons, and municipalities. If there is a public interest, data from third parties – federal-affiliated companies and private actors commissioned by federal, cantonal, or municipal authorities – will also be published, even if they are already available on other portals. opendata.swiss is primarily intended to: The portal only contains a catalog of the available data, which is managed by the providers themselves. This avoids duplication. In general, no personal data is published within the framework of OGD. This involves aggregated and anonymized data that does not allow any conclusions to be drawn about individuals. This condition is mandatory and must be adhered to by the data providers. Would you like to publish data on opendata.swiss? Interested providers of public data can find further details in the corresponding handbook under the following link: handbook.opendata.swiss. Who manages the portal? The Open Government Data Office, which is located at the FSO, manages the portal. It supports organizations in the publication of their open data and continuously monitors the quality of the catalog. opendata.swiss was developed as part of the "Strategy for Open Government Data in Switzerland 2019–2023," which the Federal Council adopted on November 30, 2018. This strategic guideline is mandatory for the federal administration. Partner organizations: Until 2018, opendata.swiss was developed under the leadership of the Swiss Federal Archives (SFA) by various partner organizations. In 2019, the Federal Department of Home Affairs (FDHA) transferred responsibility to the Federal Statistical Office (FSO). The portal is continuously being developed in collaboration with the partner organizations. A list of all data providers is available. The following organizations support the OGD Office in the development and administration of the portal: Do you have any questions? Further information and documentation can be found on the website of the Federal Statistical Office (FSO). If you have questions about a specific dataset, please contact the contact point specified for the dataset directly. For general questions about the portal or the topic of public data, we are at your disposal. Translated from German Original Text: opendata.swiss ist das zentrale Portal für offene, d.h. frei zugängliche Daten der Schweizer Behörden (Open Government Data, OGD). Das Portal opendata.swiss gewährleistet den Nutzerinnen und Nutzern einen einfachen und sicheren zentralen Zugang zu den offenen Daten von Bund, Kantonen und Gemeinden. Sofern ein öffentliches Interesse besteht, werden auch Daten von Dritten – bundesnahe Betriebe sowie von den Bundes-, Kantons- oder Gemeindebehörden beauftragte private Akteure – veröffentlicht, selbst wenn sie bereits auf anderen Portalen enthalten sind. opendata.swiss soll in erster Linie: Das Portal enthält lediglich einen Katalog der verfügbaren Daten, die jedoch von den Anbietern selber verwaltet werden. So lassen sich Doppelspurigkeiten vermeiden. Generell werden im Rahmen der OGD keine Personendaten publiziert. Es handelt sich um aggregierte und anonymisierte Daten, die keine Rückschlüsse auf Einzelpersonen zulassen. Diese Bedingung ist zwingend und muss von den Datenanbietern eingehalten werden. Möchten Sie Daten auf opendata.swiss publizieren? Interessierte Anbieter öffentlicher Daten finden weitere Einzelheiten im entsprechenden Handbuch unter folgendem Link: handbook.opendata.swiss. Wer verwaltet das Portal? Die Geschäftsstelle Open Government Data, die beim BFS angesiedelt ist, verwaltet das Portal. Sie unterstützt die Organisationen bei der Publikation ihrer offenen Daten und überwacht fortlaufend die Qualität des Katalogs. opendata.swiss wurde im Rahmen der «Strategie für offene Verwaltungsdaten in der Schweiz 2019–2023», die der Bundesrat am 30. November 2018 verabschiedet hat, entwickelt. Diese strategische Vorgabe ist für die Bundesverwaltung verpflichtend. Partnerorganisationen opendata.swiss wurde bis 2018 unter der Federführung des Schweizerischen Bundesarchivs (BAR) von verschiedenen Partnerorganisationen entwickelt. 2019 hat das Eidgenössische Departement des Innern (EDI) die Verantwortung an das Bundesamt für Statistik (BFS) übertragen. Das Portal wird in Zusammenarbeit mit den Partnerorganisationen laufend weiterentwickelt. Eine Liste aller Datenanbieter steht zur Verfügung. Die nachfolgenden Organisationen unterstützen die OGD-Geschäftsstelle bei der Entwicklung und Verwaltung des Portals: Haben Sie Fragen? Weitere Informationen sowie die Dokumentation finden Sie auf der Website des Bundesamtes für Statistik (BFS). Wenn Sie Fragen zu einem spezifischen Datensatz haben, wenden Sie sich bitte direkt an die für den Datensatz angegebene Kontaktstelle. Bei allgemeinen Fragen zum Portal oder zum Thema öffentliche Daten stehen wir gerne zu Ihrer Verfügung.

Monthly usage statistics (number of visits) of the Open Government Data (OGD) metadata records of administrative units and bodies of the canton of Zurich, which can be found on the central catalogue for open government data opendata.swiss. Notes: As of January 2019, web analytics will be expanded with additional metadata information or metadata adjustments have been made. As of March 2021, the monthly updates are paused due to technical challenges. Variable definitions: Column ‘name’ = dataset slug; ‘issued’ = first publication of dataset; ‘organisation_name’ = publisher slug; ‘organisation_url’ = publisher URL; ‘E’ up to ‘AB’ = thematic categories according to to DCAT AP Switzerland.

This dataset is about cities in Switzerland. It has 298 rows. It features 7 columns including country, population, latitude, and longitude.

This file collection is part of the ORD Landscape and Cost Analysis Project (DOI: 10.5281/zenodo.2643460), a study jointly commissioned by the SNSF and swissuniversities in 2018.

Please cite this data collection as: von der Heyde, M. (2019). Data from the Swiss Open Data Repository Landscape survey. Retrieved from https://doi.org/10.5281/zenodo.2643487

Further information is given in the corresponding data paper: von der Heyde, M. (2019). Open Data Landscape: Repository Usage of the Swiss Research Community: Description of collection, collected data, and analysis methods [Data paper]. Retrieved from https://doi.org/10.5281/zenodo.2643430

Contact

Swiss National Science Foundation (SNSF)

Open Research Data Group

E-mail: ord@snf.ch

swissuniversities

Program "Scientific Information"

Gabi Schneider

E-Mail: isci@swissuniversities.ch

Administrative boundary is a sub layer of Administrative units and is based on the data set swissBOUNDARIES3D by swisstopo. It contains all administrative units and national boundaries of Switzerland and the Principality of Liechtenstein in vector form. The product is based on an optimized data model for Switzerland and conforms to the data of the Swiss Federal Statistical Office. swissBOUNDARIES3D replaces the GG25 dataset from 2010 onwards.

Analysis of ‘Web Analytics der Open Government Data des Kantons Zürich auf opendata.swiss ab Februar 2018’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/715-fachstelle-ogd-kanton-zuerich on 13 January 2022.

--- Dataset description provided by original source is as follows ---

Monatliche Nutzungsstatistiken (Anzahl Besuche) der Open Government Data (OGD) Metadatensätze von Verwaltungseinheiten und Organen des Kantons Zürich, die auf dem zentralen Katalog für offene Behördendaten opendata.swiss findbar sind. Hinweise: Ab Januar 2019 sind die Web Analytics um weitere Metadateninformationen erweitert bzw. wurden Metadatenanpassungen vorgenommen. Ab März 2021 sind die monatlichen Aktualisierungen aufgrund technischer Herausforderungen pausiert. Variabelndefinitionen: Column 'name' = dataset slug; 'issued' = first publication of dataset; 'organization_name' = publisher slug; 'organization_url' = publisher URL; 'E' up to 'AB' = thematic categories according to DCAT AP Switzerland.

--- Original source retains full ownership of the source dataset ---

OpenGeoEdu's directory of data portals provides a central entry point for cross-platform search or search for open data and services. Access is either via the specially designed data portal, via a REST API or via download. With the web form of the portal, corrections and additions can be requested. In addition to open data and transparency portals, statistical, geo-, environmental and citizen science portals are also listed, which at least partially offer open or free offers. The data portals are also categorized according to reach and positioned on a web map at meaningful reference points (usually the location of the publishers). The directory thus depicts the open data infrastructures of the D-A-CH-LI space in their entire bandwidth and diversity. The data query of the REST API is analogous to the documentation of the PostgreSQL extension PostgREST (see http://postgrest.org/en/v7.0.0/) Query examples: http://portal.opengeoedu.de/api/portale (all data) http://portal.opengeoedu.de/api/portale?id=eq.10 (Show portal with ID 10) http://portal.opengeoedu.de/api/portale?reach=eq.international&typ=eq.odp (Show international Open Data Portals)

Government Spending in Switzerland increased to 21616.30 CHF Million in the first quarter of 2025 from 21527.93 CHF Million in the fourth quarter of 2024. This dataset provides - Switzerland Government Spending - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This dataset is about sites in Switzerland. It has 11 rows. It features 10 columns including country, inscription date, is the site in danger, and removal date.

Government Revenues in Switzerland increased to 252844 CHF Million in 2023 from 251803 CHF Million in 2022. This dataset provides - Switzerland Government Revenues- actual values, historical data, forecast, chart, statistics, economic calendar and news.

This dataset is maintained by Info Flora (National Data and Information Center of Swiss Flora), a member of Info Species. It includes records of vascular plants from Switzerland and the adjacent area. Data sources include field observations provided by a large network of volunteer collaborators, environmental impact studies, national inventories (Red List strategy), museum collections, literature and academic work. The period covered by the data extends from 1700 to the present day. All data provided have been subject to a validation procedure.

Comprehensive GIS dataset covering roads, land use, hydrography and territorial organization in Switzerland.

Geographical Names is based on the data set swissNAMES3D by swisstopo. It is the most comprehensive collection of geographical names for Switzerland and Liechtenstein. swissNAMES3D contains over 300'000 georeferenced entries divided in different categories. The dataset replaces since 2015 the old product swissNAMES updated until 2008. In the federal geoportal the layer "geographical names" corresponds to a selection of swissNAMES3D for the different zoomlevels.

Dataset Card for ArchiMod Corpus

  Dataset Summary

The ArchiMob corpus represents German linguistic varieties spoken within the territory of Switzerland. This corpus is the first electronic resource containing long samples of transcribed text in Swiss German, intended for studying the spatial distribution of morphosyntactic features and for natural language processing.

  Languages

Swiss-German

  Dataset Structure





  Data Instances

{ 'sentence':… See the full description on the dataset page: https://huggingface.co/datasets/statworx/swiss-dialects.

This is an original longitudinal dataset providing information about the presence of immigrant-origin candidates on electoral voting lists in Switzerland. The dataset covers ballot lists of the seven main political parties encompassing municipal parliamentary elections across 17 Swiss municipalities between 1996 and 2018. Depending on data availability, the last three to six communal elections have been included. The dataset contains 1'731 immigrant-origin and 13'752 native candidates on 573 voting lists.

Dataset of online survey on government-subsidized meat advertisment in Switzerland, conducted in November 2023.

Daten Datensatz finden Gesamtbestand aller Datensätze High Value Datasets laut IWG 2022 Ausschreibungen laut BVergG2018 API Hub COVID-19 Informationsportal Geodaten – INSPIRE Datensätze mit Anwendungen Veröffentlichende Stellen Visualisierung der Daten Anleitung zur Datenveröffentlichung Daten/Dokumente hinzufügen Anwendungen Anwendung finden Anwendung einreichen Open-Source-Anwendungen Infos Zielsetzung data.gv.at Open Data Prinzipien Entwicklung von Open Data E-Learning-Module zu Open Data Open Data Videos Cooperation OGD Österreich Kooperation OGD D-A-CH-LI Open Data Flyer Open Data Leitfaden Open Data Praxisleitfaden (AGEO) Leitfaden Open Data Analyse Leitfaden Open Data Governance Informationen zum BVergG 2018 Netiquette Erklärung zur Barrierefreiheit Datenschutzerklärung Social Media Plattformen Impressum News News Newsletter abonnieren Datensatz Moorland landscapes in Switzerland - the changing significance of near-natural cultural landscapes Marion Leng, Thomas Hammer (2009): Moorland landscapes in Switzerland - the changing significance of near-natural cultural landscapes - Nationalpark Hohe Tauern - Conference Volume 4: 203-204.

Daten Datensatz finden Gesamtbestand aller Datensätze High Value Datasets laut IWG 2022 Ausschreibungen laut BVergG2018 API Hub COVID-19 Informationsportal Geodaten – INSPIRE Datensätze mit Anwendungen Veröffentlichende Stellen Visualisierung der Daten Anleitung zur Datenveröffentlichung Daten/Dokumente hinzufügen Anwendungen Anwendung finden Anwendung einreichen Open-Source-Anwendungen Infos Zielsetzung data.gv.at Open Data Prinzipien Entwicklung von Open Data E-Learning-Module zu Open Data Open Data Videos Cooperation OGD Österreich Kooperation OGD D-A-CH-LI Open Data Flyer Open Data Leitfaden Open Data Praxisleitfaden (AGEO) Leitfaden Open Data Analyse Leitfaden Open Data Governance Informationen zum BVergG 2018 Netiquette Erklärung zur Barrierefreiheit Datenschutzerklärung Social Media Plattformen Impressum News News Newsletter abonnieren

The land use and cover category contains the "geostat25" and "wslhabmap" datasets.

The geostat25 dataset describes the land use and cover of Switzerland. After resampling the “Downscaled Land Use/Land Cover of Switzerland” source data (Giuliani et al., 2022) to the SWECO25 grid, we generated individual layers for the 65 land use and cover classes and the 3 time periods (1992-1997, 2004-2009, and 2013-2018) that were available. For each class and period, we provided the binary maps (0 or 1) and computed 13 focal statistics layers by applying a cell-level function calculating the average percentage cover value for a given class in a circular moving window of 13 radii ranging from 25m to 5km. This dataset includes a total of 2,730 layers. Final values were rounded and multiplied by 100.

The wslhabmap dataset (land use and cover category) describes the natural habitats of Switzerland. After rasterizing and resampling the “Habitat Map of Switzerland v1” source data (Price et al., 2021) to the SWECO25 grid, we generated individual layers for 41 categories (32 classes and 9 groups). The groups correspond to the first level of the TypoCH classification and the classes to the second level. For details on the TypoCH classification see Delarze, R., Gonseth, Y., Eggenberg, S., & Vust, M. (2015). Guide des milieux naturels de Suisse : Écologie, menaces, espèces caractéristiques. Rossolis. For each of the 41 categories, we provided the binary maps (0 or 1) and computed 13 focal statistics layers by applying a cell-level function calculating the average percentage cover value for a given category in a circular moving window of 13 radii ranging from 25m to 5km. This dataset includes a total of 574 layers. Final values were rounded and multiplied by 100.

The detailed list of layers available is provided in SWECO25_datalayers_details_lulc.csv and includes information on the category, dataset, variable name (long), variable name (short), period, sub-period, start year, end year, attribute, radii, unit, and path.

References:

G. Giuliani, D. Rodila, N. Külling, R. Maggini, A. Lehmann, Downscaling Switzerland Land Use/Land Cover Data Using Nearest Neighbors and an Expert System. Land 11, 615 (2022).

B. Price, Huber, N., Ginzler, C., Pazúr, R., Rüetschi, M., "The Habitat Map of Switzerland v1," (Birmensdorf, Switzerland, 2021)

Külling, N., Adde, A., Fopp, F., Schweiger, A. K., Broennimann, O., Rey, P.-L., Giuliani, G., Goicolea, T., Petitpierre, B., Zimmermann, N. E., Pellissier, L., Altermatt, F., Lehmann, A., & Guisan, A. (2024). SWECO25: A cross-thematic raster database for ecological research in Switzerland. Scientific Data, 11(1), Article 1. https://doi.org/10.1038/s41597-023-02899-1

V2: metadata update

Comprehensive dataset of 7 Open universities in Switzerland as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.