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Het gaat hierbij om de bewerkte gegevens. De begin- en eindpunten worden niet getoond en foutieve metingen (met bijvoorbeeld een ontbrekende GPS coordinaat) zijn eruit gefilterd. Bewerkingen nodig om bijvoorbeeld de correcte fijnstof waardes en temperaturen in graden Celsius te krijgen zijn uitgevoerd. Ritten waarbij een snelheid van meer dan 50 kilometer per uur wordt bereikt worden ook niet meegenomen. Als zo'n hoge snelheid behaald wordt, bevindt de sensor zich waarschijnlijk in de trein of in een auto waardoor waarschijnlijk niet de luchtkwaliteit buiten gemeten wordt, maar de luchtkwaliteit in de auto of de trein. Het bestand is gepseudonimiseerd, wat betekent dat informatie die rechtstreeks te herleiden is naar een gebruiker verwijderd is. In deze vorm zou het bestand openbaar gepubliceerd kunnen worden. \r\n\r\nHet bestand bevat de volgende informatie:\r\n\r\n* sensor: unieke identificatie sensor;\r\n* recording_timestamp: tijdstip van de meting. 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[Hier](https://github.com/CivityNL/Snuffelfiets-examples) vindt u Python voorbeeld code hoe u deze API kunt gebruiken. In dit voorbeeld wordt gebruik gemaakt van een resource identifier. Voor deze dataset dient de volgende resource identifier gebruikt te worden: [provincie_zeeland_snuffelfiets_gdpr_rydruofi](/dataset/snuffelfiets-provincie-zeeland/resource/provincie_zeeland_snuffelfiets_gdpr_rydruofi). Van deze dataset wordt ook per week een [eenvoudig te downloaden CSV bestand](/#/data/bcb4a73a-d2ea-4561-b32a-51a19438e5ca) aangemaakt. ", 'num_resources': 2, 'num_tags': 1, 'organization': {'id': '6ddb518e-4309-4433-820c-1e235636a666', 'name': 'provincie-zeeland', 'title': 'Provincie Zeeland', 'type': 'organization', 'description': '', 'image_url': '2021-07-26-135340.023136logo-zeeland-kleur-groot.png', 'created': '2021-07-26T15:53:40.050553', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': '6ddb518e-4309-4433-820c-1e235636a666', 'private': False, 'publisher': 'http://standaarden.overheid.nl/owms/terms/Zeeland_(provincie)', 'resolution': '', 'spatial_scheme': 'http://standaarden.overheid.nl/owms/4.0/doc/waardelijsten/overheid.provincie', 'spatial_value': 'http://standaarden.overheid.nl/owms/terms/Zeeland_(provincie)', 'state': 'active', 'subtheme': 'http://standaarden.overheid.nl/owms/terms/Lucht', 'theme': 'http://standaarden.overheid.nl/owms/terms/Natuur_en_milieu', 'title': 'Near-real-time bewerkte Snuffelfiets gegevens Provincie Zeeland', 'type': 'dataset', 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'c92561bc-085c-40a6-822a-f6e17de2a5a8', 'dataset_status': 'http://data.overheid.nl/status/beschikbaar', 'definition': '', 'denominator': '', 'donl_link_enabled': 'False', 'geo_ref_system': '', 'geonetwork_link_enabled': 'False', 'geoserver_link_enabled': 'True', 'id': 'c2c5ed23-8ccd-47ae-896d-7880fba3d794', 'isopen': False, 'language': 'http://publications.europa.eu/resource/authority/language/NLD', 'license_id': 'notspecified', 'license_title': 'License not specified', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2022-06-29T09:26:49.303338', 'metadata_language': 'http://publications.europa.eu/resource/authority/language/NLD', 'metadata_modified': '2024-08-23T11:53:43.077255', 'name': 'near-real-time-bewerkte-snuffelfiets-gegevens-globe-nederland', 'notes': "In deze dataset worden door de Snuffelfiets sensoren van de Globe Nederland ingewonnen gegevens near-real-time aangeboden. Het gaat hierbij om de bewerkte gegevens. De begin- en eindpunten worden niet getoond en foutieve metingen (met bijvoorbeeld een ontbrekende GPS coordinaat) zijn eruit gefilterd. Bewerkingen nodig om bijvoorbeeld de correcte fijnstof waardes en temperaturen in graden Celsius te krijgen zijn uitgevoerd. Ritten waarbij een snelheid van meer dan 50 kilometer per uur wordt bereikt worden ook niet meegenomen. Als zo'n hoge snelheid behaald wordt, bevindt de sensor zich waarschijnlijk in de trein of in een auto waardoor waarschijnlijk niet de luchtkwaliteit buiten gemeten wordt, maar de luchtkwaliteit in de auto of de trein. Het bestand is gepseudonimiseerd, wat betekent dat informatie die rechtstreeks te herleiden is naar een gebruiker verwijderd is. In deze vorm zou het bestand openbaar gepubliceerd kunnen worden. \r\n\r\nHet bestand bevat de volgende informatie:\r\n\r\n* sensor: unieke identificatie sensor;\r\n* recording_timestamp: tijdstip van de meting. De sensoren meten elke 10 seconden;\r\n* longitude/latitude: GPS locatie van de meting;\r\n* horizontal/vertical accuracy: indicatie nauwkeurigheid GPS locatie;\r\n* pm10: fijnstof PM10 in parts per million;\r\n* pm2_5: fijnstof PM2.5 in parts per million;\r\n* pm1: fijnstof PM1.0 in parts per million;\r\n* acc_max: accelerometer geeft indicatie van oneffenheden in de weg\r\n* temperature: temperatuur in graden Celsius;\r\n* humidity: luchtvochtigheid\r\n* pressure: luchtdruk\r\n* voc: vluchtige organische stoffen\r\n* version_major/minor: versienummer van de software op de sensor;\r\n* error_code: eventuele foutcode;\r\n* voltage: voltage van de batterij in de sensor; \r\n* no2: stikstof.\r\n\r\nEr is inmiddels zoveel data verzameld door de Snuffelfietsers dat het in een keer downloaden van de hele dataset niet meer mogelijk is. Daarom kan de dataset met behulp van de CKAN DataStore API in stukken worden opgehaald. [Hier](https://github.com/CivityNL/Snuffelfiets-examples) vindt u Python voorbeeld code hoe u deze API kunt gebruiken. In dit voorbeeld wordt gebruik gemaakt van een resource identifier. Voor deze dataset dient de volgende resource identifier gebruikt te worden: [globe_nederland_snuffelfiets_gdpr_rydruofi](/dataset/near-real-time-bewerkte-snuffelfiets-gegevens-globe-nederland/resource/globe_nederland_snuffelfiets_gdpr_rydruofi). Van deze dataset wordt ook per week een [eenvoudig te downloaden CSV bestand](unknown) aangemaakt.", 'num_resources': 1, 'num_tags': 2, 'organization': {'id': 'a85ef4ed-db23-432c-b981-23b12d31dac0', 'name': 'snuffelfiets', 'title': 'Snuffelfiets', 'type': 'organization', 'description': '', 'image_url': '2021-10-15-123351.894098SNuffelfiets.png', 'created': '2021-07-26T15:50:50.086148', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': 'a85ef4ed-db23-432c-b981-23b12d31dac0', 'private': False, 'publisher': 'http://standaarden.overheid.nl/owms/terms/Utrecht_(gemeente)', 'resolution': '', 'spatial_scheme': 'http://standaarden.overheid.nl/owms/4.0/doc/waardelijsten/overheid.gemeente', 'spatial_value': 'http://standaarden.overheid.nl/owms/terms/Utrecht_(gemeente)', 'state': 'active', 'subtheme': 'http://standaarden.overheid.nl/owms/terms/Lucht', 'theme': 'http://standaarden.overheid.nl/owms/terms/Natuur_en_milieu', 'title': 'Near-real-time bewerkte Snuffelfiets gegevens Globe Nederland', 'type': 'dataset', 'update_frequency': 'voortdurend geactualiseerd', 'url': None, 'version': '', 'version_notes': '', 'extras': [{'key': 'linked_datasets', 'value': ''}], 'groups': [{'description': '', 'display_name': 'Natuur en milieu', 'id': 'af36ddfd-2ec1-4266-ad7b-53c089952591', 'image_display_url': 'https://tst-ckan.dataplatform.nl/uploads/group/2020-10-27-090104.5979272019-02-13-122638.391682natuur.png', 'name': 'natuur-en-milieu', 'title': 'Natuur en milieu'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2022-06-29T09:29:31.784240', 'datastore_active': True, 'description': 'Bewerkte Snuffelfiets metingen sensoren Globe Nederland\r\nCIVDEV-1043\r\nCIVDEV-1043\r\nCIVDEV-1043\r\nCIVDEV-1043\r\nCIVDEV-1043', 'format': '', 'hash': '', 'id': 'globe_nederland_snuffelfiets_gdpr_rydruofi', 'language': 'http://publications.europa.eu/resource/authority/language/NLD', 'last_modified': None, 'layer_extent': '[4.2753391, 51.6186649, 5.5223449, 52.3713686]', 'layer_srid': 4326, 'metadata_language': 'http://publications.europa.eu/resource/authority/language/NLD', 'metadata_modified': '2024-08-23T11:49:36.245783', 'mimetype': None, 'mimetype_inner': None, 'name': 'Bewerkte Snuffelfiets metingen sensoren Globe Nederland', 'package_id': 'c2c5ed23-8ccd-47ae-896d-7880fba3d794', 'position': 0, 'resource_type': None, 'state': 'active', 'timestamp_identifier': 'recording_timestamp', 'url': '', 'url_type': None, 'wfs_url': 'https://tst-ckan.dataplatform.nl/geoserver/workspace_datastore_ckan_dataplatform_nl/ckan_globe_nederland_snuffelfiets_gdpr_rydruofi/ows?service=WFS&version=2.0.0&request=GetFeature&typeName=workspace_datastore_ckan_dataplatform_nl%3Ackan_globe_nederland_snuffelfiets_gdpr_rydruofi&maxFeatures=50&outputFormat=gml3', 'wms_url': 'https://tst-ckan.dataplatform.nl/geoserver/workspace_datastore_ckan_dataplatform_nl/ckan_globe_nederland_snuffelfiets_gdpr_rydruofi/ows?service=WMS&version=1.3.0&request=GetMap&layers=ckan_globe_nederland_snuffelfiets_gdpr_rydruofi&bbox=4.2753391%2C+51.6186649%2C+5.5223449%2C+52.3713686&width=768&height=384&srs=EPSG%3A4326&format=image%2Fpng'}], 'tags': [{'display_name': 'Luchtkwaliteit', 'id': '1201d09a-a68f-437f-a894-baaab6e9e42e', 'name': 'Luchtkwaliteit', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'Snuffelfiets', 'id': 'eb41b058-0dc9-4682-966d-ca647ef567df', 'name': 'Snuffelfiets', 'state': 'active', 'vocabulary_id': None}], 'relationships_as_subject': [], 'relationships_as_object': []}, {'access_rights': 'http://publications.europa.eu/resource/authority/access-right/PUBLIC', 'author': None, 'author_email': None, 'authority': 'http://standaarden.overheid.nl/owms/terms/Amersfoort_(gemeente)', 'bounding_box': '', 'changetype': 'updated', 'contact_point_email': 'servicedesk@civity.nl', 'contact_point_name': 'Servicedesk', 'contact_point_phone': '', 'contact_point_type': 'organization', 'creator_user_id': '2da92da4-b919-40d6-9afe-60b6fa1310a9', 'dataset_status': 'http://data.overheid.nl/status/beschikbaar', 'definition': '', 'denominator': '', 'donl_link_enabled': 'False', 'geo_ref_system': '', 'geonetwork_link_enabled': 'False', 'geoserver_link_enabled': 'True', 'id': 'a0c22580-3015-45f9-b1fc-53817adb709c', 'isopen': False, 'language': 'http://publications.europa.eu/resource/authority/language/ENG', 'license_id': 'notspecified', 'license_title': 'License not specified', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2020-12-07T08:02:03.974927', 'metadata_language': 'http://publications.europa.eu/resource/authority/language/ENG', 'metadata_modified': '2024-08-23T11:50:11.519093', 'name': 'teneo-soil-moisture-temperature-humidity-sensors', 'notes': "## Introduction\r\n\r\nWithin the frame of the SCOREwater project, the City of Amersfoort commissioned [Hoefakker](https://hoefakker.com/boomspecialisten/smart-city-bodemvochtsensor/) to install Teneo soil moisture and climate monitor sensors at several locations in the Schothorst neighbourhood and the Central Railway area. The sensors measure soil moisture, temperature and humidity. Schothorst and the Central Railway area differ in groundwater levels. In Schothorst the groundwater levels are higher (average height: 0.7 meter to 1.0 meter below ground level) than in the Central Railway area (average height: lower than 1.6 meter below ground level). The lowest soil moisture sensors are placed on 1.2 meter below ground level. As a result, in the Schothorst area the sensors are located close to or in the groundwater during winter. In the Central Railway area they are located far above the groundwater level. This makes both areas interesting to include. What all soil moisture sensors have in common is that they are all located nearby trees and in public spaces. Locations differ in terms of: being in the sun or in the shade, being in a green setting (unpaved, such as parks) or being in a paved setting, and being near surface water or not. Because of the differences between the locations the sensors have been installed in, data from the sensors can be used to investigate questions such as:\r\n\r\n* What is the influence of the type of surface on soil moisture levels?\r\n* Does the nearby presence of surface water affect soil moisture?\r\n* What is the influence of heat on soil moisture?\r\n* What is the relation between groundwater levels fluctuance and soil moisture?\r\n* Are adjustments on in public spaces (on street level) helpful to improve the soil situation for a more climate adaptive city?\r\n\r\n## Contents of the data\r\n\r\nData are being harmonized using FIWARE [Smart Data Models](https://www.fiware.org/smart-data-models/). Data regarding soil moisture can be modelled using the GreenSpaceRecord model. The data in this dataset provide the following elements from this data model:\r\n\r\n* id - identifier of the sensors\r\n* recordingTimetamp - timestamp of the measurement\r\n* location - GPS location of the sensor, GeoJSON with WGS84/EPSG:4326 coordinate\r\n* soilMoistureVwc - percentage Volumetric Water Content of soil\r\n\r\nMeteorological data can be modelled using the WeatherObserved model. The data in this dataset provide the following elements from this data model: \r\n\r\n* id - identifier of the sensors\r\n* recordingTimetamp - timestamp of the measurement\r\n* location - GPS location of the sensor, GeoJSON with WGS84/EPSG:4326 coordinate\r\n* temperature - temperature in degrees Celsius\r\n* relativeHumidity - percentage relative humidity\r\n\r\n## Access the data\r\n\r\nData are available using different API's:\r\n\r\n* Archives of the data are available as a CKAN resource for both [GreenSpaceRecord entities](https://ckan-dataplatform-nl.dataplatform.nl/dataset/archived-teneo-soil-moisture-temperature-and-humidity-sensors/resource/resource-f9dc5371bdb117348be116cc5891c911f5466ac42ef69f6fb8a654be9bc64bbd) and [WeatherObserved entities](https://ckan-dataplatform-nl.dataplatform.nl/dataset/archived-teneo-soil-moisture-temperature-and-humidity-sensors/resource/resource-a8b1ca2b02669d05b945f6739966cc2ddbcc9ebafa67770714d033fb161295f7). Once a week, data from the live datasets is archived in this [CKAN package](https://ckan-dataplatform-nl.dataplatform.nl/dataset/archived-teneo-soil-moisture-temperature-and-humidity-sensors) which allows for a) previewing the data, b) a CSV download and c) CKAN datastore API access to the data. \r\n* The Orion ContextBroker allows you to access the [current status of entities](https://gravitee-scorewater-gateway.dataplatform.nl/teneo/orion/v2/entities). Use the information provided by the Orion ContextBroker to compile requests for the Short Term History API. the ContextBroker provides information on which entities are present and what attributes those entities support. \r\n* The Short Term History API allows you to download historical data for the different sensors in both [raw](https://gravitee-scorewater-gateway.dataplatform.nl/teneo/STH/v2/entities/206/attrs/soilMoistureVwc?type=GreenSpaceRecord&lastN=100) and [aggregated](https://gravitee-scorewater-gateway.dataplatform.nl/teneo/STH/v2/entities/206/attrs/soilMoistureVwc?type=GreenSpaceRecord&aggrMethod=min&aggrPeriod=month) form in either [JSON](https://gravitee-scorewater-gateway.dataplatform.nl/teneo/STH/v2/entities/240/attrs/temperature?type=WeatherObserved&lastN=100) or [CSV](https://gravitee-scorewater-gateway.dataplatform.nl/teneo/STH/v2/entities/240/attrs/temperature?type=WeatherObserved&lastN=100&fileType=csv) format:\r\n* The OGC web services allows you to [render maps](https://gravitee-scorewater-gateway.dataplatform.nl/teneo/ows?layers=ckan_current_weather_observed_hegcudye&width=768&version=1.3.0&bbox=52.148986%2C+5.365354%2C+52.178201%2C+5.403238&service=WMS&srs=EPSG%3A4326&format=image%2Fpng&request=GetMap&height=384) of the sensors and to download historical data in different formats such as [CSV](https://gravitee-scorewater-gateway.dataplatform.nl/teneo/ows?outputFormat=csv&service=WFS&maxFeatures=50&request=GetFeature&typeName=workspace_datastore_ckan_dataplatform_nl%3Ackan_current_weather_observed_hegcudye&version=2.0.0), [GML](https://gravitee-scorewater-gateway.dataplatform.nl/teneo/ows?outputFormat=gml3&service=WFS&maxFeatures=50&request=GetFeature&typeName=workspace_datastore_ckan_dataplatform_nl%3Ackan_current_weather_observed_hegcudye&version=2.0.0) and shape file. \r\n\r\n\r\n\r\n*Teneo soil moisture sensors (branded as Smart City Trees by Hoefakker)*", 'num_resources': 6, 'num_tags': 2, 'organization': {'id': '9cb8dbf9-415b-4db9-aa41-ca81e5b08e8f', 'name': 'gemeente-amersfoort', 'title': 'Gemeente Amersfoort', 'type': 'organization', 'description': '', 'image_url': '', 'created': '2020-12-07T08:59:07.765805', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': '9cb8dbf9-415b-4db9-aa41-ca81e5b08e8f', 'private': False, 'publisher': 'http://standaarden.overheid.nl/owms/terms/Amersfoort_(gemeente)', 'resolution': '', 'spatial_scheme': 'http://standaarden.overheid.nl/owms/4.0/doc/waardelijsten/overheid.gemeente', 'spatial_value': 'http://standaarden.overheid.nl/owms/terms/Amersfoort_(gemeente)', 'state': 'active', 'subtheme': 'http://standaarden.overheid.nl/owms/terms/Bodem', 'theme': 'http://standaarden.overheid.nl/owms/terms/Natuur_en_milieu', 'title': 'Teneo soil moisture, temperature and humidity sensors', 'type': 'dataset', 'update_frequency': 'voortdurend geactualiseerd', 'url': None, 'version': '', 'version_notes': '', 'extras': [{'key': 'linked_datasets', 'value': ''}, {'key': 'packagetracker_ckantockan_donl_job_id', 'value': ''}, {'key': 'packagetracker_ckantockan_donl_status', 'value': ''}], 'groups': [{'description': '', 'display_name': 'Natuur en milieu', 'id': 'af36ddfd-2ec1-4266-ad7b-53c089952591', 'image_display_url': 'https://tst-ckan.dataplatform.nl/uploads/group/2020-10-27-090104.5979272019-02-13-122638.391682natuur.png', 'name': 'natuur-en-milieu', 'title': 'Natuur en milieu'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2022-02-16T17:05:28.404932', 'datastore_active': True, 'description': 'Current state of GreenSpaceRecord entities\r\nCIVDEV-1043\r\nCIVDEV-1043\r\nCIVDEV-1043\r\nCIVDEV-1043', 'format': '', 'hash': '', 'id': 'current_green_space_record_hegcudye', 'last_modified': None, 'layer_extent': '[52.148986, 5.365354, 52.178201, 5.403238]', 'layer_srid': 4326, 'metadata_modified': '2024-08-23T11:50:11.530066', 'mimetype': None, 'mimetype_inner': None, 'name': 'Current GreenSpaceRecord entities', 'package_id': 'a0c22580-3015-45f9-b1fc-53817adb709c', 'position': 0, 'resource_type': None, 'state': 'active', 'url': '', 'url_type': None, 'wfs_url': 'https://acc-ckan.dataplatform.nl/geoserver/workspace_datastore_ckan_dataplatform_nl/ckan_current_green_space_record_hegcudye/ows?outputFormat=gml3&service=WFS&maxFeatures=50&request=GetFeature&typeName=workspace_datastore_ckan_dataplatform_nl%3Ackan_current_green_space_record_hegcudye&version=2.0.0', 'wms_url': 'https://acc-ckan.dataplatform.nl/geoserver/workspace_datastore_ckan_dataplatform_nl/ckan_current_green_space_record_hegcudye/ows?layers=ckan_current_green_space_record_hegcudye&width=768&version=1.3.0&bbox=52.148986%2C+5.365354%2C+52.178201%2C+5.403238&service=WMS&srs=EPSG%3A4326&format=image%2Fpng&request=GetMap&height=384'}, {'cache_last_updated': None, 'cache_url': None, 'created': '2022-02-16T17:05:11.799269', 'datastore_active': True, 'description': 'Current state of WeatherObserved entities\r\nCIVDEV-1043\r\nCIVDEV-1043\r\nCIVDEV-1043\r\nCIVDEV-1043', 'format': '', 'hash': '', 'id': 'current_weather_observed_hegcudye', 'last_modified': None, 'layer_extent': '[52.148986, 5.365354, 52.178201, 5.403238]', 'layer_srid': 4326, 'metadata_modified': '2024-08-23T11:50:08.630491', 'mimetype': None, 'mimetype_inner': None, 'name': 'Current WeatherObserved entities', 'package_id': 'a0c22580-3015-45f9-b1fc-53817adb709c', 'position': 1, 'resource_type': None, 'state': 'active', 'url': '', 'url_type': None, 'wfs_url': 'https://acc-ckan.dataplatform.nl/geoserver/workspace_datastore_ckan_dataplatform_nl/ckan_current_weather_observed_hegcudye/ows?outputFormat=gml3&service=WFS&maxFeatures=50&request=GetFeature&typeName=workspace_datastore_ckan_dataplatform_nl%3Ackan_current_weather_observed_hegcudye&version=2.0.0', 'wms_url': 'https://acc-ckan.dataplatform.nl/geoserver/workspace_datastore_ckan_dataplatform_nl/ckan_current_weather_observed_hegcudye/ows?layers=ckan_current_weather_observed_hegcudye&width=768&version=1.3.0&bbox=52.148986%2C+5.365354%2C+52.178201%2C+5.403238&service=WMS&srs=EPSG%3A4326&format=image%2Fpng&request=GetMap&height=384'}, {'cache_last_updated': None, 'cache_url': None, 'created': '2022-02-16T17:06:56.769003', 'datastore_active': False, 'description': 'Simple symbolization which just renders a point on the location of the sensor with a label for the soil moisture VWC In case of a GreenSpaceRecord) and temperature and relative humidity (in case of WeatherObserved). ', 'download_url': '', 'format': 'SLD', 'hash': '4c2700d0be382716a6ad086896850700b9801c43', 'id': '539ea2b3-e77d-427e-a6f0-0c256a800005', 'language': 'http://publications.europa.eu/resource/authority/language/ENG', 'last_modified': '2022-02-16T17:06:56.454351', 'layer_extent': '', 'linked_schemas': '', 'metadata_language': 'http://publications.europa.eu/resource/authority/language/ENG', 'metadata_modified': '2022-02-16T17:06:56.769003', 'mimetype': None, 'mimetype_inner': None, 'name': 'Symbolization Teneo soil moisture, temperature and humidity sensors', 'package_id': 'a0c22580-3015-45f9-b1fc-53817adb709c', 'position': 2, 'resource_status': 'http://purl.org/adms/status/Completed', 'resource_type': None, 'rights': '', 'size': 6047, 'state': 'active', 'url': 'https://tst-ckan.dataplatform.nl/dataset/a0c22580-3015-45f9-b1fc-53817adb709c/resource/539ea2b3-e77d-427e-a6f0-0c256a800005/download/teneo-soil-moisture-temperature-humidity-sensors.sld', 'url_type': 'upload', 'wfs_url': '', 'wms_url': ''}, {'cache_last_updated': None, 'cache_url': None, 'created': '2020-12-07T08:37:34.735549', 'datastore_active': True, 'datastore_contains_all_records_of_source_file': 'False', 'description': 'Flexyz measurements', 'format': '', 'hash': '', 'id': 'measurement_hegcudye', 'last_modified': None, 'license_id': 'notspecified', 'metadata_modified': '2024-08-22T12:37:09.296218', 'mimetype': None, 'mimetype_inner': None, 'name': 'Measurements', 'ows_url': 'None', 'package_id': 'a0c22580-3015-45f9-b1fc-53817adb709c', 'position': 3, 'resource_type': None, 'state': 'active', 'url': 'https://tst-ckan.dataplatform.nl/datastore/dump/measurement_hegcudye', 'url_type': 'datastore', 'wfs_featuretype_name': 'None', 'wms_layer_name': 'None'}, {'cache_last_updated': None, 'cache_url': None, 'created': '2020-12-07T08:37:08.143263', 'datastore_active': True, 'datastore_contains_all_records_of_source_file': 'False', 'description': 'FTP files uploaded to FTP server by Flexyz', 'format': '', 'hash': '', 'id': 'ftp_file_hegcudye', 'last_modified': None, 'license_id': 'notspecified', 'metadata_modified': '2024-08-22T12:37:09.296387', 'mimetype': None, 'mimetype_inner': None, 'name': 'FTP files', 'ows_url': 'None', 'package_id': 'a0c22580-3015-45f9-b1fc-53817adb709c', 'position': 4, 'resource_type': None, 'state': 'active', 'url': 'https://tst-ckan.dataplatform.nl/datastore/dump/ftp_file_hegcudye', 'url_type': 'datastore', 'wfs_featuretype_name': 'None', 'wms_layer_name': 'None'}, {'cache_last_updated': None, 'cache_url': None, 'created': '2022-02-23T08:16:12.309343', 'datastore_active': 'false', 'description': 'Hoefakker Smart City Trees sensorkit', 'format': 'JPEG', 'hash': 'c5308ce5e452cf103abe4bccf20e9e810b5b6854', 'id': 'picture-smart-city-trees-sensor', 'last_modified': '2022-02-23T08:16:11.867403', 'metadata_modified': '2022-02-23T08:16:12.309343', 'mimetype': 'image/jpeg', 'mimetype_inner': None, 'name': 'Hoefakker Smart City Trees sensorkit', 'package_id': 'a0c22580-3015-45f9-b1fc-53817adb709c', 'position': 5, 'resource_type': None, 'size': 964100, 'state': 'active', 'url': 'https://tst-ckan.dataplatform.nl/dataset/a0c22580-3015-45f9-b1fc-53817adb709c/resource/picture-smart-city-trees-sensor/download/smart_city_trees_sensor.jpg', 'url_type': 'upload'}], 'tags': [{'display_name': 'Meteorology', 'id': 'ce379001-4f59-45e5-a746-457893f1bf83', 'name': 'Meteorology', 'state': 'active', 'vocabulary_id': None}, {'display_name': 'soil moisture', 'id': '1aef7b12-677a-4f7b-94a7-731a3be50707', 'name': 'soil moisture', 'state': 'active', 'vocabulary_id': None}], 'relationships_as_subject': [], 'relationships_as_object': []}, {'access_rights': 'http://publications.europa.eu/resource/authority/access-right/PUBLIC', 'author': None, 'author_email': None, 'authority': 'http://standaarden.overheid.nl/owms/terms/Almere_(gemeente)', 'bounding_box': '', 'carousel_active': 'True', 'carousel_image': 'https://acc-greeninnovationhub.dataplatform.nl/portal-config/organizations/greeninnovationhub/assets/images/BANNER_YELLOW.png', 'carousel_order': '1', 'carousel_text': '', 'changetype': 'updated', 'contact_point_email': 'servicedesk@civity.nl', 'contact_point_name': 'Servicedesk', 'contact_point_phone': '', 'contact_point_type': 'organization', 'creator_user_id': '2da92da4-b919-40d6-9afe-60b6fa1310a9', 'dataset_status': 'http://data.overheid.nl/status/beschikbaar', 'definition': '', 'denominator': '', 'donl_link_enabled': 'False', 'geo_ref_system': '', 'geonetwork_link_enabled': 'False', 'geoserver_link_enabled': 'True', 'id': '53d2d3fd-076b-46f7-b5b7-dec1529b3a78', 'isopen': False, 'language': 'http://publications.europa.eu/resource/authority/language/ENG', 'license_id': 'notspecified', 'license_title': 'License not specified', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2024-03-28T14:00:14.452730', 'metadata_language': 'http://publications.europa.eu/resource/authority/language/ENG', 'metadata_modified': '2024-04-16T16:31:28.528640', 'name': 'indoor-air-quality', 'notes': 'Indoor air quality datasets Green Innovation Hub', 'num_resources': 2, 'num_tags': 1, 'organization': {'id': '97734b58-589e-4e99-9ae8-9189894aa716', 'name': 'green-innovation-hub', 'title': 'Green Innovation Hub', 'type': 'organization', 'description': '', 'image_url': '2024-03-28-135420.561575logo-GIH-horizontaal.png', 'created': '2024-03-28T14:54:20.660314', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': '97734b58-589e-4e99-9ae8-9189894aa716', 'private': False, 'publisher': 'http://standaarden.overheid.nl/owms/terms/Almere_(gemeente)', 'resolution': '', 'spatial_scheme': 'http://standaarden.overheid.nl/owms/4.0/doc/waardelijsten/overheid.gemeente', 'spatial_value': 'http://standaarden.overheid.nl/owms/terms/Almere_(gemeente)', 'state': 'active', 'subtheme': 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'http://standaarden.overheid.nl/owms/terms/Bodem', 'theme': 'http://standaarden.overheid.nl/owms/terms/Natuur_en_milieu', 'title': 'Bodemvocht', 'type': 'dataset', 'update_frequency': 'voortdurend geactualiseerd', 'url': None, 'version': '', 'version_notes': '', 'extras': [{'key': 'linked_datasets', 'value': ''}], 'groups': [{'description': '', 'display_name': 'Natuur en milieu', 'id': 'af36ddfd-2ec1-4266-ad7b-53c089952591', 'image_display_url': 'https://tst-ckan.dataplatform.nl/uploads/group/2020-10-27-090104.5979272019-02-13-122638.391682natuur.png', 'name': 'natuur-en-milieu', 'title': 'Natuur en milieu'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2024-03-25T12:43:40.413300', 'datastore_active': 'true', 'description': 'pienteretuinen', 'format': '', 'hash': '', 'id': 'pienteretuinen', 'last_modified': None, 'metadata_modified': '2024-03-25T12:43:40.413300', 'mimetype': None, 'mimetype_inner': None, 'name': 'pienteretuinen', 'package_id': 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'bounding_box': '', 'changetype': 'updated', 'contact_point_email': 'servicedesk@civity.nl', 'contact_point_name': 'Servicedesk', 'contact_point_phone': '', 'contact_point_type': 'organization', 'creator_user_id': '2da92da4-b919-40d6-9afe-60b6fa1310a9', 'dataset_status': 'http://data.overheid.nl/status/beschikbaar', 'definition': '', 'denominator': '', 'donl_link_enabled': 'False', 'geo_ref_system': '', 'geonetwork_link_enabled': 'False', 'geoserver_link_enabled': 'False', 'id': 'ff31cc71-49d9-4e01-9825-68f8f38efe93', 'isopen': False, 'language': 'http://publications.europa.eu/resource/authority/language/ENG', 'license_id': 'notspecified', 'license_title': 'License not specified', 'maintainer': None, 'maintainer_email': None, 'metadata_created': '2022-08-25T18:44:56.966263', 'metadata_language': 'http://publications.europa.eu/resource/authority/language/ENG', 'metadata_modified': '2022-10-13T12:01:05.078473', 'name': 'energy-consumption-observed', 'notes': '# Introduction\r\n\r\nWithin the frame of IRIS Utrecht, data regarding energy consumption is being collected from a number of apartment buildings. Purpose of collecting these data is to be able to evaluate the result of energy saving measures. \r\n\r\nTo be able to calculate energy consumption, the following variables are needed:\r\n\r\n* electricity delivered (from net to connection)\r\n* electricity generated (by PV panels)\r\n* electricity returned (from connection to net)\r\n\r\nUsing these variables, electricity consumption can be calculated using the following formula:\r\n\r\nelectricity consumed = electricity delivered + electricity generated - electricity returned\r\n\r\n\r\n\r\n*Electricity delivered, produced and generated explained*\r\n\r\nWe are collecting energy consumption from different sources. \r\n\r\n## Toon smart thermostat\r\n\r\nEvery night, Quby uploads a file containing energy consumption data from Alexander de Grotelaan I, II, III and IV, Columbuslaan II and Rooseveldlaan I and II to a Amazon S3 bucket. Theses data contain average electricity delivered (from net to connection) and electricity received (from connection to net) for two tariffs (low and normal tariff) at 15 minute intervals. In addition to the average, the files contain the standard deviation and the number of connections involved in calculating the average and standard deviation values. The dataset does not contain energy generated, and can thus not be used to calculate energy consumption. To work around this issue, energy generated by Columbuslaan I (downloaded from the myBeNext API) is used to estimate energy generation by the other apartment buildings. \r\n\r\nThe S3 file should contain four rows per hour for each apartment building/variable combination. In the picture below, hours for which this is not the case have been marked red. This is probably due to the fact that there are no households producing data for that timestamp/variable. If all variables are missing for a timestamp, this will lead to a missing data point in this dataset. If at least one variable is present for a timestamp, the missing ones will be zero. \r\n\r\n\r\n\r\n## myBeNext API\r\n\r\nEvery hour, quarterly data is being downloaded from the myBeNext API for two apartment buildings: Henriettedreef and Columbuslaan I. For Henriettedreef, data regarding electricity delivered, electricity returned and electricity produced is collected. This information is available at the level of the individual connections, but this information is never stored in the dataset. The dataset contains the sum for the entire apartment building. \r\n\r\n## Access the data\r\n\r\n### CKAN datastore API\r\n\r\nThe data can be downloaded from the CKAN resource included in this package. Because of the size of the dataset, downloading the entire dataset in one go will probably fail due to time outs. The CKAN datastore API can be used to download the dataset in parts.Example code how that can be done can be found [here](https://github.com/CivityNL/Snuffelfiets-examples). To be able to run this code, you will need a resource identifier (in this case energy_consumption_observed_cepontod) and (in case of a private dataset) an API key. You can find your API key by logging in to CKAN and clicking on your username in the top right corner of the page. You will then find your API key on the left. \r\n\r\n### FIWARE ContextBroker\r\n\r\nThe [get entities](https://acc-toon.dataplatform.nl//smart-thermostat/orion/v2/entities?type=EnergyConsumptionObserved) gets the current state of the different enties. It provides a list of a) the entities and b) the attributes which can be used to compile requests for the Short Term History API. \r\n\r\n### Short Term History API\r\n\r\nThe Short Term History (STH) API provides access to historical information for the different entities in both raw and aggregated form. \r\n\r\n[Columbuslaan II, electricity consumed, raw values](https://acc-toon.dataplatform.nl/smart-thermostat/STH/v2/entities/columbuslaan_ii/attrs/electricityConsumed?type=EnergyConsumptionObserved&lastN=100&count=false)\r\n\r\n[Number of connections corresponding to the previous API call](https://acc-toon.dataplatform.nl/smart-thermostat/STH/v2/entities/columbuslaan_ii/attrs/noConnectionsElectricityConsumed?type=EnergyConsumptionObserved&lastN=100&count=false)\r\n\r\n[Columbuslaan II, electricity delivered, aggregated values per month between January 1, 2022 and January 1, 2023](https://acc-toon.dataplatform.nl/smart-thermostat/STH/v2/entities/columbuslaan_ii/attrs/electricityDelivered?type=EnergyConsumptionObserved&aggrMethod=sum&aggrPeriod=month&dateFrom=2022-01-01T00%3A00%3A00.0%2B02%3A00&dateTo=2023-01-01T00%3A00%3A00.0%2B02%3A00&count=false)', 'num_resources': 4, 'num_tags': 1, 'organization': {'id': 'c24f840a-2cbd-417b-8655-665e72a8366c', 'name': 'gemeente-utrecht', 'title': 'Gemeente Utrecht', 'type': 'organization', 'description': 'Gemeente Utrecht organisatie aangemaakt om IRIS Utrecht data te kunnen publiceren.', 'image_url': '2021-07-29-123833.980283logo-gemeente-utrecht-nederlands-groot-1200.png', 'created': '2020-10-06T13:54:05.559242', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}, 'owner_org': 'c24f840a-2cbd-417b-8655-665e72a8366c', 'private': False, 'publisher': 'http://standaarden.overheid.nl/owms/terms/Utrecht_(gemeente)', 'resolution': '', 'spatial_scheme': 'http://standaarden.overheid.nl/owms/4.0/doc/waardelijsten/overheid.gemeente', 'spatial_value': 'http://standaarden.overheid.nl/owms/terms/Utrecht_(gemeente)', 'state': 'active', 'subtheme': 'http://standaarden.overheid.nl/owms/terms/Energie', 'theme': 'http://standaarden.overheid.nl/owms/terms/Natuur_en_milieu', 'title': 'Energy consumption observed', 'type': 'dataset', 'update_frequency': 'voortdurend geactualiseerd', 'url': None, 'version': '', 'version_notes': '', 'extras': [{'key': 'linked_datasets', 'value': ''}], 'groups': [{'description': '', 'display_name': 'Natuur en milieu', 'id': 'af36ddfd-2ec1-4266-ad7b-53c089952591', 'image_display_url': 'https://tst-ckan.dataplatform.nl/uploads/group/2020-10-27-090104.5979272019-02-13-122638.391682natuur.png', 'name': 'natuur-en-milieu', 'title': 'Natuur en milieu'}], 'resources': [{'cache_last_updated': None, 'cache_url': None, 'created': '2020-10-23T09:48:15.576528', 'datastore_active': True, 'description': 'Energy consumption at building level', 'format': '', 'hash': '', 'id': 'energy_consumption_observed_cepontod', 'last_modified': None, 'license_id': 'notspecified', 'metadata_modified': '2020-10-23T09:48:15.576528', 'mimetype': None, 'mimetype_inner': None, 'name': 'Energy consumption observed', 'package_id': 'ff31cc71-49d9-4e01-9825-68f8f38efe93', 'position': 0, 'resource_type': None, 'state': 'active', 'url': 'https://tst-ckan.dataplatform.nl/datastore/dump/energy_consumption_observed_cepontod', 'url_type': 'datastore'}, {'cache_last_updated': None, 'cache_url': None, 'created': '2022-08-25T18:52:26.742432', 'datastore_active': False, 'description': 'Energy consumption observed picture', 'download_url': '', 'format': 'PNG', 'geonetwork_url': '', 'hash': 'dd7674202866412ff06c4d658f21031aec99d4e9', 'id': '4df5ddde-4320-49d2-b9e1-6d9a962b2c4b', 'language': 'http://publications.europa.eu/resource/authority/language/NLD', 'last_modified': '2022-08-25T18:52:26.364364', 'layer_extent': '', 'linked_schemas': '', 'metadata_language': 'http://publications.europa.eu/resource/authority/language/NLD', 'metadata_modified': '2022-08-25T18:52:26.742432', 'mimetype': 'image/png', 'mimetype_inner': None, 'name': 'Energy consumption observed picture', 'package_id': 'ff31cc71-49d9-4e01-9825-68f8f38efe93', 'position': 1, 'resource_status': 'http://purl.org/adms/status/Completed', 'resource_type': None, 'rights': '', 'size': 10567, 'state': 'active', 'timestamp_identifier': '', 'url': 'https://tst-ckan.dataplatform.nl/dataset/ff31cc71-49d9-4e01-9825-68f8f38efe93/resource/4df5ddde-4320-49d2-b9e1-6d9a962b2c4b/download/energy_consumption_observed.png', 'url_type': 'upload', 'wfs_url': '', 'wms_url': ''}, {'cache_last_updated': None, 'cache_url': None, 'created': '2022-08-25T18:54:14.956754', 'datastore_active': False, 'description': 'The S3 file should contain for rows per hour for each apartment building/variable combination. 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Het gaat hierbij om de bewerkte gegevens. De begin- en eindpunten worden niet getoond en foutieve metingen (met bijvoorbeeld een ontbrekende GPS coordinaat) zijn eruit gefilterd. Bewerkingen nodig om bijvoorbeeld de correcte fijnstof waardes en temperaturen in graden Celsius te krijgen zijn uitgevoerd. Ritten waarbij een snelheid van meer dan 50 kilometer per uur wordt bereikt worden ook niet meegenomen. Als zo'n hoge snelheid behaald wordt, bevindt de sensor zich waarschijnlijk in de trein of in een auto waardoor waarschijnlijk niet de luchtkwaliteit buiten gemeten wordt, maar de luchtkwaliteit in de auto of de trein. Het bestand is gepseudonimiseerd, wat betekent dat informatie die rechtstreeks te herleiden is naar een gebruiker verwijderd is. In deze vorm zou het bestand openbaar gepubliceerd kunnen worden. \r\n\r\nHet bestand bevat de volgende informatie:\r\n\r\n* sensor: unieke identificatie sensor;\r\n* recording_timestamp: tijdstip van de meting. 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