The data.gov catalog is powered by CKAN, a powerful open source data platform that includes a robust API. Please be aware that data.gov and the data.gov CKAN API only contain metadata about datasets. This metadata includes URLs and descriptions of datasets, but it does not include the actual data within each dataset.
Attribution-NonCommercial 2.0 (CC BY-NC 2.0)https://creativecommons.org/licenses/by-nc/2.0/
License information was derived automatically
A basic run through of the different areas of the site, how to navigate them and add datasets.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The Victorian Government Open Data Directory uses CKAN to surface thousands of datasets from across the Victorian Government. This API is based on version 2.7.3 of the CKAN API documentation and provides access to CKAN functionality for the purpose of integrating with other CKAN instances. It can also be used as a data source for other applications to search and download the datasets provided by Data.Vic.\r \r This API is the updated version that implements the Whole of Victorian Government API Design Standards for RESTful APIs developed by the Victorian Government. \r \r
Phytoplankton community composition data from Esthwaite Water collected fortnightly. Data from 1989 onwards, held in Oracle. More information on this dataset can be found in the Freshwater Metadatabase - BF_W_12-L-CA (http://www.freshwatermetadata.eu/metadb/bf_mdb_view.php?entryID=BF_W_12-L-CA).
This video tutorial explains the process of installing CKAN on Ubuntu 20.04. This is general information for installing an operation system that can be used in a lot of other applications.
address(object): The mailing address . Model: https://schema.org/address alternateName(string): An alternative name for this item areaServed(string): The geographic area where a service or offered item is provided . Model: https://schema.org/Text dataProvider(string): A sequence of characters identifying the provider of the harmonised data entity. dateCreated(string): Entity creation timestamp. This will usually be allocated by the storage platform. dateModified(string): Timestamp of the last modification of the entity. This will usually be allocated by the storage platform. description(string): A description of this item
Simulation features related to all topics - bvb, schalke, fpoe, neos, political as combination of fpoe+neose, vegan, covid19 related to political graph, covid19 related to socialdistance graph. Version 2 of the data format contain adjlist user ids and metis user ids, related to each graph.
Category_Id (number): Category identifier Category (text): Name of the category Subcategory_id (number): Subcategory identifier Subcategory (text): Name of the subcategory Keyword (text): Text of the keyword
SELECTED HOUSING CHARACTERISTICS YEAR STRUCTURE BUILT - DP04 Universe - Total housing units Survey-Program - American Community Survey 5-year estimates Years - 2020, 2021 Year structure built refers to when the building was first constructed, not when it was remodeled, added to, or converted. Housing units under construction are included as vacant housing if they meet the housing unit definition, that is, all exterior windows, doors, and final usable floors are in place. For mobile homes, houseboats, RVs, etc., the manufacturer's model year was assumed to be the year built. The data relate to the number of units built during the specified periods that were still in existence at the time of interview.its built during the specified periods that were still in existence at the time of interview.
The dataset comprises 750 distinct binary files, each representing a unique timestamp, derived from partitioning a comprehensive binary file.
Station Code: CLAR, Network Code: CI, Location Code: LY_, Channel Code: 20, Latitude: 34.10992974, Longitude: -117.70881533
Multi-modal indoor data for activity recognition and data security. 1) Audio data (wav files): Audio files containing indoor sounds and speech 2) Motion data (JSON): JSON files contraining motion information from PIR sensors 3) Luminance (JSON): JSON files containing luminance information in lux 4) Temperature (JSON): JSON files conrainign temperature information in Celsius
{"default_tags": [{"name": "GEOSS"}, {"name": "GEO"}, {"name": "AmeriGEOSS"}, {"name": "AmeriGEO"}, {"name": "Global"}, {"name": "EDX"}, {"name": "Energy Data Exchange"},{"name": "Energy"},{"name":"CKAN"}], "default_groups": ["amerigeoss", "global-provider"]}
The XRayLab (ISPC-CNR) of Catania (Italy) in the framework of the interdisciplinary project MINIARE (Manuscript Illumination: Non-Invasive Analysis, Research And Expertise) in collaboration with the Fitzwilliam Museum (Department of Manuscripts and Printed Books), the Hamilton Kerr Institute, the University of Cambridge (Department of Chemistry), carried out MA-XRF analyses on illuminated manuscripts (1350 BC - 19th c. AD) of different geographical provenance, by using in-situ an advanced X-ray imaging scanning system (Landis-X), designed and developed in laboratory. The MA-XRF high-resolution distribution images of the chemical elements composing the painting of the manuscripts have provided, in non-invasive way, the identification of the original materials (pigments) used by the artists increasing the knowledge on the artistic, cultural, political, social, technological, and economic aspects in which the miniatures were created. The elemental images also allowed the visualization of the back of the single pages, no more readable because over time they have been detached from their main books and glued on cardboard,t hus helping their collocation in the original volumes.
Data licence Germany - Zero - Version 2.0https://www.govdata.de/dl-de/zero-2-0
License information was derived automatically
Data licence Germany – Attribution – Version 2.0https://www.govdata.de/dl-de/by-2-0
License information was derived automatically
Metadaten werden bei GovData in CKAN verwaltet. Sie können ohne Anmeldung über die Schnittstelle ausgelesen werden. Die Metadaten Struktur DCAT-AP.de ist hier beschrieben: https://www.dcat-ap.de/
Ein Beispielabruf zum Suchwort Kindergarten lautet z.B.: https://ckan.govdata.de/api/3/action/dcat_catalog_search?q=kindergarten&format=rdf
Der Endpunkt ist in den Formaten RDF, Turtle und JSON-LD verfügbar. Die Links finden Sie in den Informationen zu den Datendateien.
Die Original-Metadaten der zuliefernden Stellen können zusätzlich auch über den entsprechenden Endpunkt eines Apache Jena Fuseki Triple Stores mittels SPARQL-Abfragen durchsucht und kombiniert werden. Im Vergleich zur CKAN-API werden über den TripleStore auch zusätzliche von den Datenbereitstellern übertragene Metadaten abgebildet.
Example GDI Catalogue
tipoMovilizacion (string): id of the mobilization type recursos (integer): resources used in the mobilization personas (integer): people used in the mobilization
SCOREwater videos
This guide covers the CKAN installation process, using Ubuntu dependency. Ubuntu is a Linux based open-source operating system. This is a general guide created by Jacob Cain.
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The data.gov catalog is powered by CKAN, a powerful open source data platform that includes a robust API. Please be aware that data.gov and the data.gov CKAN API only contain metadata about datasets. This metadata includes URLs and descriptions of datasets, but it does not include the actual data within each dataset.