Subject Environment<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"There are two new data models ElectroMagneticObserved and IndoorEnvironmentObserved ElectroMagneticObserved. The Data Model is intended to measure excessive electric and magnetic fields (EMFs), or radiation in a work or public environment according to the level of exposure to electromagnetic fields on the air. The frequency of the Hertzian waves is… More…<\/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}},"categories":[48,113],"tags":[],"class_list":["post-1252","post","type-post","status-publish","format-standard","hentry","category-environment","category-smart-environment"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":6183,"url":"https:\/\/smartdatamodels.org\/index.php\/updated-3-data-models-in-environment-subject\/","url_meta":{"origin":1252,"position":0},"title":"updated 3 data models in environment subject","author":"maestro","date":"21\/06\/2022","format":false,"excerpt":"The data models AirQualityMonitoring, AirQualityObserved, and NoiseLevelObserved have been extended with additional attributes. These data models have been tested in three use cases in the cities\/regions of\u00a0 Murcia \/ Molina de Segura, (Spain), Nice Cote D'azur (France), and Flanders (Belgium). Soon other data models will be released thanks to this\u2026","rel":"","context":"In "Smart Environment domain"","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":251,"url":"https:\/\/smartdatamodels.org\/index.php\/updated-air-quality-data-model\/","url_meta":{"origin":1252,"position":1},"title":"Updated Air quality data model","author":"maestro","date":"01\/04\/2020","format":false,"excerpt":"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.","rel":"","context":"In "Environment"","block_context":{"text":"Environment","link":"https:\/\/smartdatamodels.org\/index.php\/category\/environment\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":6780,"url":"https:\/\/smartdatamodels.org\/index.php\/3-new-data-models-for-environment-and-mobility\/","url_meta":{"origin":1252,"position":2},"title":"3 new data models for environment (and mobility)","author":"maestro","date":"26\/08\/2022","format":false,"excerpt":"There are 3 new data models coming from the collaboration with the GreenMov project. They are located at the Environment subject. NoisePollutionForecast. Noise Pollution forecast stores the expectation about noise pollution based on some input elements and the noise elements present. TrafficEnvironmentImpact. Environmental Impact of traffic based on the vehicles\u2026","rel":"","context":"In "Smart Environment domain"","block_context":{"text":"Smart Environment domain","link":"https:\/\/smartdatamodels.org\/index.php\/category\/smart-environment\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2022\/08\/logo_GreenMov-300x95-1.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":2963,"url":"https:\/\/smartdatamodels.org\/index.php\/airqualitymonitoring\/","url_meta":{"origin":1252,"position":3},"title":"AirQualityMonitoring","author":"maestro","date":"17\/08\/2021","format":false,"excerpt":"IUDX one of the members of the Smart Data Models Steering board has contributed actively to the new data model in the Environment subject. It is relevant the Time Series Aggregation (TSA) properties which allow storing the average of the parameter during a period, their maximum and minimum, and their\u2026","rel":"","context":"In "Environment"","block_context":{"text":"Environment","link":"https:\/\/smartdatamodels.org\/index.php\/category\/environment\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":728,"url":"https:\/\/smartdatamodels.org\/index.php\/new-harmonized-data-models\/","url_meta":{"origin":1252,"position":4},"title":"New harmonized data models","author":"maestro","date":"16\/10\/2020","format":false,"excerpt":"Harmonization repository is dedicated to those data models that are mostly accepted and only requirements of consistency, complete documentation and examples availability. Here there is a list of coming data models in different domains: Battery StorageBattery StorageBatteryDevice StorageBatteryMeasurement Energy ACMeasurement InverterDevice PhotoVoltaicDevice PhotovoltaicMeasurement Environment ElectroMagneticObserved PhreaticLevel RainFallRadarObservation Ports BoatAtuthorized BoatPlacesAvailable\u2026","rel":"","context":"In "Battery"","block_context":{"text":"Battery","link":"https:\/\/smartdatamodels.org\/index.php\/category\/battery\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":2906,"url":"https:\/\/smartdatamodels.org\/index.php\/new-data-model-data-package-in-the-subject-frictionless-data\/","url_meta":{"origin":1252,"position":5},"title":"New data model data Package in the subject Frictionless Data","author":"maestro","date":"22\/07\/2021","format":false,"excerpt":"The new data model in the datamodel.FrictionlessData subject DataPackageFrictionlessData. Data Package is a simple specification for data access and delivery. Converted for Smart Data Models initiative from original frictionless data.","rel":"","context":"In "Cross Sector"","block_context":{"text":"Cross Sector","link":"https:\/\/smartdatamodels.org\/index.php\/category\/cross-sector\/"},"img":{"alt_text":"","src":"https:\/\/frictionlessdata.io\/img\/frictionless-color-full-logo.svg","width":350,"height":200,"srcset":"https:\/\/frictionlessdata.io\/img\/frictionless-color-full-logo.svg 1x, https:\/\/frictionlessdata.io\/img\/frictionless-color-full-logo.svg 1.5x, https:\/\/frictionlessdata.io\/img\/frictionless-color-full-logo.svg 2x"},"classes":[]}],"_links":{"self":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/1252","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=1252"}],"version-history":[{"count":2,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/1252\/revisions"}],"predecessor-version":[{"id":1259,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/1252\/revisions\/1259"}],"wp:attachment":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/media?parent=1252"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/categories?post=1252"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/tags?post=1252"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}