{"id":251,"date":"2020-04-01T08:04:20","date_gmt":"2020-04-01T08:04:20","guid":{"rendered":"http:\/\/data-models.fiware.org\/?p=251"},"modified":"2020-04-03T07:53:19","modified_gmt":"2020-04-03T07:53:19","slug":"updated-air-quality-data-model","status":"publish","type":"post","link":"https:\/\/smartdatamodels.org\/index.php\/updated-air-quality-data-model\/","title":{"rendered":"Updated Air quality data model"},"content":{"rendered":"<p>Included pollutants Arsenic, Benzene, Cadmium, carbon monoxide, nickel, nitrogen monoxide, nitrogen dioxide, ozone, particulate minor 10 microns, particulate minor 2.5 microns, lead, sulfur dioxide, hydrogen sulfide.<\/p>\n<p>Available <a href=\"https:\/\/github.com\/smart-data-models\/dataModel.Environment\/blob\/master\/AirQualityObserved\/schema.json\">here<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Included pollutants Arsenic, Benzene, Cadmium, carbon monoxide, nickel, nitrogen monoxide, nitrogen dioxide, ozone, particulate minor 10 microns, particulate minor 2.5 microns, lead, sulfur dioxide, hydrogen sulfide. Available here. <a class=\"continue-reading-link\" href=\"https:\/\/smartdatamodels.org\/index.php\/updated-air-quality-data-model\/\">More&#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"jetpack_post_was_ever_published":false},"categories":[48],"tags":[50,52],"class_list":["post-251","post","type-post","status-publish","format-standard","hentry","category-environment","tag-airquality","tag-environment"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":1769,"url":"https:\/\/smartdatamodels.org\/index.php\/extednded-data-model-airquality-observed\/","url_meta":{"origin":251,"position":0},"title":"Extended data model Airquality observed","author":"maestro","date":"24\/02\/2021","format":false,"excerpt":"The data model of AirQualityobserved in the subject datamodel.Environment has been extended with these properties: nox: Other Nitrogen oxides detected coLevel: Qualitative Carbon Monoxide presence precipitation: Amount of water rain relativeHumidity: Humidity in the Air typeofLocation: Type of location of the sampled item temperature: Temperature of the item windDirection: Direction\u2026","rel":"","context":"In &quot;Smart Environment domain&quot;","block_context":{"text":"Smart Environment domain","link":"https:\/\/smartdatamodels.org\/index.php\/category\/smart-environment\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":19840,"url":"https:\/\/smartdatamodels.org\/index.php\/carbonfootprint-published-at-environment-subject\/","url_meta":{"origin":251,"position":1},"title":"CarbonFootprint published at Environment subject","author":"maestro","date":"24\/06\/2025","format":false,"excerpt":"There is a new data model in the subject of Environment, CarbonFootprint CarbonFootprint. Data model to represent the carbon footprint in CO2 equivalents. ;","rel":"","context":"In &quot;Smart Environment domain&quot;","block_context":{"text":"Smart Environment domain","link":"https:\/\/smartdatamodels.org\/index.php\/category\/smart-environment\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":1746,"url":"https:\/\/smartdatamodels.org\/index.php\/extended-the-data-model-for-airqualityobserved\/","url_meta":{"origin":251,"position":2},"title":"Extended the data model for AirQualityObserved","author":"maestro","date":"23\/02\/2021","format":false,"excerpt":"The data model for AirQualityObserved in the Subject dataModel.Environment has been extended with the properties: co2: Carbon Dioxide detected.","rel":"","context":"In &quot;Smart Environment domain&quot;","block_context":{"text":"Smart Environment domain","link":"https:\/\/smartdatamodels.org\/index.php\/category\/smart-environment\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":3947,"url":"https:\/\/smartdatamodels.org\/index.php\/66-new-data-models-for-sensors-coming-from-the-open-connectivity-foundation\/","url_meta":{"origin":251,"position":3},"title":"66 new data models for sensors coming from the Open Connectivity Foundation","author":"maestro","date":"18\/03\/2022","format":false,"excerpt":"Thaks to the collaboration with the open connectivity foundation there 66 new data models in very different scenarios, from Air qualty testing, blood pressure, Co2 detection, speed or weight. Check them out at the specific subject for these models datamodel.OCF Here you have the full lst. 3DPrinter. This Resource describes\u2026","rel":"","context":"In &quot;Smart-Sensoring domain&quot;","block_context":{"text":"Smart-Sensoring domain","link":"https:\/\/smartdatamodels.org\/index.php\/category\/smart-sensoring\/"},"img":{"alt_text":"OCF - OCF Security","src":"https:\/\/i0.wp.com\/openconnectivityfoundation.github.io\/OCF-Security-Baseline-Mapping\/docs\/OCF_POS_4C.png?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/openconnectivityfoundation.github.io\/OCF-Security-Baseline-Mapping\/docs\/OCF_POS_4C.png?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/openconnectivityfoundation.github.io\/OCF-Security-Baseline-Mapping\/docs\/OCF_POS_4C.png?resize=525%2C300&ssl=1 1.5x"},"classes":[]},{"id":8574,"url":"https:\/\/smartdatamodels.org\/index.php\/7_data_models_in_the_saref4bldg_subject\/","url_meta":{"origin":251,"position":4},"title":"7 data models in the SAREF4BLDG subject","author":"maestro","date":"20\/04\/2023","format":false,"excerpt":"The new subject datamodel.S4BLDG is mapping the data models from SAREF for buildings 1.1.2. Thanks to the contributors Grzegorz Wiszniewski and Jakob Bj\u00f8rnskov t the project Twin4Build \u2013 A holistic Digital Twin platform for decision-making support over the whole building life cycle. FlowInstrument. A flow instrument reads and displays the\u2026","rel":"","context":"In &quot;Smart Cities domain&quot;","block_context":{"text":"Smart Cities domain","link":"https:\/\/smartdatamodels.org\/index.php\/category\/smart-cities\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":10306,"url":"https:\/\/smartdatamodels.org\/index.php\/minor-extension-of-pysmartdatamodels-0-6-4-1\/","url_meta":{"origin":251,"position":5},"title":"Minor extension of pysmartdatamodels 0.6.4.1","author":"maestro","date":"28\/02\/2024","format":false,"excerpt":"There is a minor new version of the package pysmartdatamodels. Now it allows to have in the metadata of a data model the direct links to the specification in the 8 languages. you can access thanks to the function list_datamodel_metadata and accessing the objects with the keys, spec, spec_DE, spec_ES,\u2026","rel":"","context":"In &quot;Cross Sector&quot;","block_context":{"text":"Cross Sector","link":"https:\/\/smartdatamodels.org\/index.php\/category\/cross-sector\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2024\/02\/pysdm_0.6.4.1.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]}],"_links":{"self":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/251","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/comments?post=251"}],"version-history":[{"count":1,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/251\/revisions"}],"predecessor-version":[{"id":252,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/251\/revisions\/252"}],"wp:attachment":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/media?parent=251"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/categories?post=251"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/tags?post=251"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}