{"id":9246,"date":"2023-07-17T17:48:16","date_gmt":"2023-07-17T15:48:16","guid":{"rendered":"https:\/\/smartdatamodels.org\/?p=9246"},"modified":"2023-07-17T17:48:16","modified_gmt":"2023-07-17T15:48:16","slug":"nigthskyquality-data-model-at-environment-subject","status":"publish","type":"post","link":"https:\/\/smartdatamodels.org\/index.php\/nigthskyquality-data-model-at-environment-subject\/","title":{"rendered":"NigthSkyQuality data Model at Environment subject"},"content":{"rendered":"<p>New data model at <a href=\"https:\/\/github.com\/smart-data-models\/dataModel.Environment\">Environment<\/a> subject, <a href=\"https:\/\/github.com\/smart-data-models\/dataModel.Environment\/blob\/master\/NightSkyQuality\/README.md\">Night Sky Quality<\/a><\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/smart-data-models\/dataModel.Environment\/blob\/master\/NightSkyQuality\/README.md\">NightSkyQuality<\/a>. Data regarding the observed sky quality and the status of the measuring device.<\/li>\n<\/ul>\n<p><a title=\"Kristian Pikner, CC BY-SA 4.0 &lt;https:\/\/creativecommons.org\/licenses\/by-sa\/4.0&gt;, via Wikimedia Commons\" href=\"https:\/\/commons.wikimedia.org\/wiki\/File:Virmalised_15.09.2017_-_Aurora_Borealis_15.09.2017_copy.jpg\"><img decoding=\"async\" src=\"https:\/\/upload.wikimedia.org\/wikipedia\/commons\/thumb\/8\/86\/Virmalised_15.09.2017_-_Aurora_Borealis_15.09.2017_copy.jpg\/512px-Virmalised_15.09.2017_-_Aurora_Borealis_15.09.2017_copy.jpg\" alt=\"Virmalised 15.09.2017 - Aurora Borealis 15.09.2017 copy\" width=\"512\" \/><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>New data model at Environment subject, Night Sky Quality NightSkyQuality. Data regarding the observed sky quality and the status of the measuring device. <a class=\"continue-reading-link\" href=\"https:\/\/smartdatamodels.org\/index.php\/nigthskyquality-data-model-at-environment-subject\/\">More&#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","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":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[113],"tags":[],"class_list":["post-9246","post","type-post","status-publish","format-standard","hentry","category-smart-environment"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":1862,"url":"https:\/\/smartdatamodels.org\/index.php\/extended-airqualityobserved-data-model-in-datamodel-environment-subject\/","url_meta":{"origin":9246,"position":0},"title":"Extended AirqualityObserved data model In datamodel.Environment Subject","author":"maestro","date":"04\/03\/2021","format":false,"excerpt":"It has been extended the data model of AirQualityObserved in the datamodel.Environment Subject. With the property, AirQualityIndex is the numerical value for the Air quality. This value is frequently transformed into qualitative scales (good, quite good, etc) \u00a0","rel":"","context":"In &quot;Environment&quot;","block_context":{"text":"Environment","link":"https:\/\/smartdatamodels.org\/index.php\/category\/environment\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":6280,"url":"https:\/\/smartdatamodels.org\/index.php\/noise-pollution-data-model-and-airqualityforecast-published-at-environment-subject\/","url_meta":{"origin":9246,"position":1},"title":"Noise pollution data model and AirQualityForecast published at Environment subject","author":"maestro","date":"05\/07\/2022","format":false,"excerpt":"The Noise Pollution data model and the AirQualityForecast have been published on the Environment subject. The first one merges specific and punctual noise measurements (coming, e.g. from NoiseLevelObservation entities) into average parameters referred to city areas, providing more city-related data about noise pollution status and evolution. The second one helps\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":1219,"url":"https:\/\/smartdatamodels.org\/index.php\/new_data_model_for_environment_phreatic_observed\/","url_meta":{"origin":9246,"position":2},"title":"New data model for Environment. Phreatic Observed","author":"maestro","date":"02\/01\/2021","format":false,"excerpt":"There is a new data model\u00a0PhreaticObserved is intended to measure, observe and control the level and quality of groundwater at a given time (T), by a fixed or mobile monitoring system. Depending on the device used, it is also possible to measure the quality of water such as its electrical\u2026","rel":"","context":"In &quot;Environment&quot;","block_context":{"text":"Environment","link":"https:\/\/smartdatamodels.org\/index.php\/category\/environment\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":1454,"url":"https:\/\/smartdatamodels.org\/index.php\/smart-water-and-smart-environment-updated-waterqualityobserved-in-water-quality-repository\/","url_meta":{"origin":9246,"position":3},"title":"Smart water and Smart Environment: Updated WaterQualityObserved in water quality repository","author":"maestro","date":"26\/01\/2021","format":false,"excerpt":"The data model WaterQualityObserved has been expanded to include 3 new properties: BOD: Biochemical oxygen demand (BOD) is the amount of dissolved oxygen (DO) needed (i.e. demanded) by aerobic biological organisms to break down organic material present in a given water sample at certain temperature over a specific time period\u2026","rel":"","context":"In &quot;Environment&quot;","block_context":{"text":"Environment","link":"https:\/\/smartdatamodels.org\/index.php\/category\/environment\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":2963,"url":"https:\/\/smartdatamodels.org\/index.php\/airqualitymonitoring\/","url_meta":{"origin":9246,"position":4},"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 &quot;Environment&quot;","block_context":{"text":"Environment","link":"https:\/\/smartdatamodels.org\/index.php\/category\/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":9246,"position":5},"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 &quot;Environment&quot;","block_context":{"text":"Environment","link":"https:\/\/smartdatamodels.org\/index.php\/category\/environment\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"_links":{"self":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/9246","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=9246"}],"version-history":[{"count":1,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/9246\/revisions"}],"predecessor-version":[{"id":9247,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/9246\/revisions\/9247"}],"wp:attachment":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/media?parent=9246"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/categories?post=9246"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/tags?post=9246"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}