Changes
On March 22, 2023 at 5:13:09 PM +0100,
-
Changed value of field
civity_metadataquality
to{'total': {'score': 0.2564102564102564, 'number': 39, 'valid': 10}, 'mandatory': {'score': 0.5882352941176471, 'number': 17, 'valid': 10}, 'optional': {'score': 0.0, 'number': 22, 'valid': 0}}
in Soil moisture data from SmartCityTrees
f | 1 | { | f | 1 | { |
2 | "author": null, | 2 | "author": null, | ||
3 | "author_email": null, | 3 | "author_email": null, | ||
n | n | 4 | "authority": "http://standaarden.overheid.nl/op/terms/overig", | ||
4 | "civity_metadataquality": { | 5 | "civity_metadataquality": { | ||
5 | "mandatory": { | 6 | "mandatory": { | ||
6 | "number": 17, | 7 | "number": 17, | ||
n | 7 | "score": 0.35294117647058826, | n | 8 | "score": 0.5882352941176471, |
8 | "valid": 6 | 9 | "valid": 10 | ||
9 | }, | 10 | }, | ||
10 | "optional": { | 11 | "optional": { | ||
11 | "number": 22, | 12 | "number": 22, | ||
12 | "score": 0.0, | 13 | "score": 0.0, | ||
13 | "valid": 0 | 14 | "valid": 0 | ||
14 | }, | 15 | }, | ||
15 | "total": { | 16 | "total": { | ||
16 | "number": 39, | 17 | "number": 39, | ||
n | 17 | "score": 0.15384615384615385, | n | 18 | "score": 0.2564102564102564, |
18 | "valid": 6 | 19 | "valid": 10 | ||
19 | } | 20 | } | ||
20 | }, | 21 | }, | ||
21 | "creator_user_id": "b35482c9-cfb2-47c2-bb59-4c94d7a35e75", | 22 | "creator_user_id": "b35482c9-cfb2-47c2-bb59-4c94d7a35e75", | ||
22 | "groups": [ | 23 | "groups": [ | ||
23 | { | 24 | { | ||
24 | "description": "", | 25 | "description": "", | ||
25 | "display_name": "Environment", | 26 | "display_name": "Environment", | ||
26 | "id": "f76c11a1-ac92-480f-bf4d-bec0133ec6c2", | 27 | "id": "f76c11a1-ac92-480f-bf4d-bec0133ec6c2", | ||
27 | "image_display_url": "", | 28 | "image_display_url": "", | ||
28 | "name": "environment", | 29 | "name": "environment", | ||
29 | "title": "Environment" | 30 | "title": "Environment" | ||
30 | } | 31 | } | ||
31 | ], | 32 | ], | ||
32 | "id": "39992833-4a81-4cc0-bb66-e333f0159727", | 33 | "id": "39992833-4a81-4cc0-bb66-e333f0159727", | ||
33 | "isopen": false, | 34 | "isopen": false, | ||
n | n | 35 | "language": | ||
36 | "http://publications.europa.eu/resource/authority/language/ENG", | ||||
34 | "license_id": "notspecified", | 37 | "license_id": "notspecified", | ||
35 | "license_title": "License not specified", | 38 | "license_title": "License not specified", | ||
36 | "maintainer": null, | 39 | "maintainer": null, | ||
37 | "maintainer_email": null, | 40 | "maintainer_email": null, | ||
38 | "metadata_created": "2023-03-21T11:15:06.077588", | 41 | "metadata_created": "2023-03-21T11:15:06.077588", | ||
n | n | 42 | "metadata_language": | ||
43 | "http://publications.europa.eu/resource/authority/language/ENG", | ||||
39 | "metadata_modified": "2023-03-22T16:07:37.832347", | 44 | "metadata_modified": "2023-03-22T16:07:37.832347", | ||
40 | "name": "soil-moisture-data-from-smartcitytrees", | 45 | "name": "soil-moisture-data-from-smartcitytrees", | ||
41 | "notes": "Within the frame of the SCOREwater project, the City of | 46 | "notes": "Within the frame of the SCOREwater project, the City of | ||
42 | Amersfoort commissioned Hoefakker to install Teneo soil moisture and | 47 | Amersfoort commissioned Hoefakker to install Teneo soil moisture and | ||
43 | climate monitor sensors at several locations in the Schothorst | 48 | climate monitor sensors at several locations in the Schothorst | ||
44 | neighbourhood and the Central Railway area. The sensors measure soil | 49 | neighbourhood and the Central Railway area. The sensors measure soil | ||
45 | moisture, temperature and humidity. Schothorst and the Central Railway | 50 | moisture, temperature and humidity. Schothorst and the Central Railway | ||
46 | area differ in groundwater levels. In Schothorst the groundwater | 51 | area differ in groundwater levels. In Schothorst the groundwater | ||
47 | levels are higher (average height: 0.7 meter to 1.0 meter below ground | 52 | levels are higher (average height: 0.7 meter to 1.0 meter below ground | ||
48 | level) than in the Central Railway area (average height: lower than | 53 | level) than in the Central Railway area (average height: lower than | ||
49 | 1.6 meter below ground level). The lowest soil moisture sensors are | 54 | 1.6 meter below ground level). The lowest soil moisture sensors are | ||
50 | placed on 1.2 meter below ground level. As a result, in the Schothorst | 55 | placed on 1.2 meter below ground level. As a result, in the Schothorst | ||
51 | area the sensors are located close to or in the groundwater during | 56 | area the sensors are located close to or in the groundwater during | ||
52 | winter. In the Central Railway area they are located far above the | 57 | winter. In the Central Railway area they are located far above the | ||
53 | groundwater level. This makes both areas interesting to include. What | 58 | groundwater level. This makes both areas interesting to include. What | ||
54 | all soil moisture sensors have in common is that they are all located | 59 | all soil moisture sensors have in common is that they are all located | ||
55 | nearby trees and in public spaces. Locations differ in terms of: being | 60 | nearby trees and in public spaces. Locations differ in terms of: being | ||
56 | in the sun or in the shade, being in a green setting (unpaved, such as | 61 | in the sun or in the shade, being in a green setting (unpaved, such as | ||
57 | parks) or being in a paved setting, and being near surface water or | 62 | parks) or being in a paved setting, and being near surface water or | ||
58 | not. Because of the differences between the locations the sensors have | 63 | not. Because of the differences between the locations the sensors have | ||
59 | been installed in, data from the sensors can be used to investigate | 64 | been installed in, data from the sensors can be used to investigate | ||
60 | questions such as:\r\n\r\n* What is the influence of the type of | 65 | questions such as:\r\n\r\n* What is the influence of the type of | ||
61 | surface on soil moisture levels?\r\n* Does the nearby presence of | 66 | surface on soil moisture levels?\r\n* Does the nearby presence of | ||
62 | surface water affect soil moisture?\r\n* What is the influence of heat | 67 | surface water affect soil moisture?\r\n* What is the influence of heat | ||
63 | on soil moisture?\r\n* What is the relation between groundwater levels | 68 | on soil moisture?\r\n* What is the relation between groundwater levels | ||
64 | fluctuance and soil moisture?\r\n* Are adjustments on in public spaces | 69 | fluctuance and soil moisture?\r\n* Are adjustments on in public spaces | ||
65 | (on street level) helpful to improve the soil situation for a more | 70 | (on street level) helpful to improve the soil situation for a more | ||
66 | climate adaptive city?\r\n\r\n# Contents of the data\r\n\r\nData are | 71 | climate adaptive city?\r\n\r\n# Contents of the data\r\n\r\nData are | ||
67 | being harmonized using FIWARE Smart Data Models. Data regarding soil | 72 | being harmonized using FIWARE Smart Data Models. Data regarding soil | ||
68 | moisture can be modelled using the GreenSpaceRecord model. The data in | 73 | moisture can be modelled using the GreenSpaceRecord model. The data in | ||
69 | this dataset provide the following elements from this data | 74 | this dataset provide the following elements from this data | ||
70 | model:\r\n\r\n* id - identifier of the sensors\r\n* recordingTimetamp | 75 | model:\r\n\r\n* id - identifier of the sensors\r\n* recordingTimetamp | ||
71 | - timestamp of the measurement\r\n* location - GPS location of the | 76 | - timestamp of the measurement\r\n* location - GPS location of the | ||
72 | sensor, GeoJSON with WGS84/EPSG:4326 coordinate\r\n* soilMoistureVwc - | 77 | sensor, GeoJSON with WGS84/EPSG:4326 coordinate\r\n* soilMoistureVwc - | ||
73 | percentage Volumetric Water Content of soil\r\n\r\n<br>Meteorological | 78 | percentage Volumetric Water Content of soil\r\n\r\n<br>Meteorological | ||
74 | data can be modelled using the WeatherObserved model. The data in this | 79 | data can be modelled using the WeatherObserved model. The data in this | ||
75 | dataset provide the following elements from this data model:\r\n\r\n* | 80 | dataset provide the following elements from this data model:\r\n\r\n* | ||
76 | id - identifier of the sensors\r\n* recordingTimetamp - timestamp of | 81 | id - identifier of the sensors\r\n* recordingTimetamp - timestamp of | ||
77 | the measurement\r\n* location - GPS location of the sensor, GeoJSON | 82 | the measurement\r\n* location - GPS location of the sensor, GeoJSON | ||
78 | with WGS84/EPSG:4326 coordinate\r\n* temperature - temperature in | 83 | with WGS84/EPSG:4326 coordinate\r\n* temperature - temperature in | ||
79 | degrees Celsius\r\n* relativeHumidity - percentage relative | 84 | degrees Celsius\r\n* relativeHumidity - percentage relative | ||
80 | humidity\r\n\r\n# Access the data\r\n\r\nData are available using | 85 | humidity\r\n\r\n# Access the data\r\n\r\nData are available using | ||
81 | different API's:\r\n\r\n* Archives of the data are available as a CKAN | 86 | different API's:\r\n\r\n* Archives of the data are available as a CKAN | ||
82 | resource for both \r\n* GreenSpaceRecord entities and WeatherObserved | 87 | resource for both \r\n* GreenSpaceRecord entities and WeatherObserved | ||
83 | entities. Once a week, data from the live datasets is archived in this | 88 | entities. Once a week, data from the live datasets is archived in this | ||
84 | CKAN package which allows for a) previewing the data, b) a CSV | 89 | CKAN package which allows for a) previewing the data, b) a CSV | ||
85 | download and c) CKAN datastore API access to the data.\r\n* The Orion | 90 | download and c) CKAN datastore API access to the data.\r\n* The Orion | ||
86 | ContextBroker allows you to access the current status of entities. Use | 91 | ContextBroker allows you to access the current status of entities. Use | ||
87 | the information provided by the Orion ContextBroker to compile | 92 | the information provided by the Orion ContextBroker to compile | ||
88 | requests for the Short Term History API. the ContextBroker provides | 93 | requests for the Short Term History API. the ContextBroker provides | ||
89 | information on which entities are present and what attributes those | 94 | information on which entities are present and what attributes those | ||
90 | entities support.\r\n* The Short Term History API allows you to | 95 | entities support.\r\n* The Short Term History API allows you to | ||
91 | download historical data for the different sensors in both raw and | 96 | download historical data for the different sensors in both raw and | ||
92 | aggregated form in either JSON or CSV format:\r\n* The OGC web | 97 | aggregated form in either JSON or CSV format:\r\n* The OGC web | ||
93 | services allows you to render maps of the sensors and to download | 98 | services allows you to render maps of the sensors and to download | ||
94 | historical data in different formats such as CSV, GML and shape | 99 | historical data in different formats such as CSV, GML and shape | ||
95 | file.\r\n\r\n<br>\r\n\r\n<img | 100 | file.\r\n\r\n<br>\r\n\r\n<img | ||
96 | ff3-59f3-4d66-b152-ff9ab201d88e/download/smart_city_trees_sensor.jpg\" | 101 | ff3-59f3-4d66-b152-ff9ab201d88e/download/smart_city_trees_sensor.jpg\" | ||
97 | width=\"600\" als=\"SmartCityTrees-sensor\" />\r\n\r\n*Teneo soil | 102 | width=\"600\" als=\"SmartCityTrees-sensor\" />\r\n\r\n*Teneo soil | ||
98 | moisture sensors (branded as Smart City Trees by Hoefakker)*\r\n\r\n", | 103 | moisture sensors (branded as Smart City Trees by Hoefakker)*\r\n\r\n", | ||
99 | "num_resources": 1, | 104 | "num_resources": 1, | ||
100 | "num_tags": 0, | 105 | "num_tags": 0, | ||
101 | "organization": { | 106 | "organization": { | ||
102 | "approval_status": "approved", | 107 | "approval_status": "approved", | ||
103 | "created": "2023-03-21T12:22:15.788620", | 108 | "created": "2023-03-21T12:22:15.788620", | ||
104 | "description": "", | 109 | "description": "", | ||
105 | "id": "492bd563-8b5b-4c0f-8d19-d20d5e6b254c", | 110 | "id": "492bd563-8b5b-4c0f-8d19-d20d5e6b254c", | ||
106 | "image_url": | 111 | "image_url": | ||
107 | "2023-03-22-091310.6951222022-08-12-103356.970918amersfoort.jpg", | 112 | "2023-03-22-091310.6951222022-08-12-103356.970918amersfoort.jpg", | ||
108 | "is_organization": true, | 113 | "is_organization": true, | ||
109 | "name": "amersfoort", | 114 | "name": "amersfoort", | ||
110 | "state": "active", | 115 | "state": "active", | ||
111 | "title": "Amersfoort", | 116 | "title": "Amersfoort", | ||
112 | "type": "organization" | 117 | "type": "organization" | ||
113 | }, | 118 | }, | ||
114 | "owner_org": "492bd563-8b5b-4c0f-8d19-d20d5e6b254c", | 119 | "owner_org": "492bd563-8b5b-4c0f-8d19-d20d5e6b254c", | ||
115 | "private": false, | 120 | "private": false, | ||
t | t | 121 | "publisher": "http://standaarden.overheid.nl/op/terms/overig", | ||
116 | "relationships_as_object": [], | 122 | "relationships_as_object": [], | ||
117 | "relationships_as_subject": [], | 123 | "relationships_as_subject": [], | ||
118 | "resources": [ | 124 | "resources": [ | ||
119 | { | 125 | { | ||
120 | "cache_last_updated": null, | 126 | "cache_last_updated": null, | ||
121 | "cache_url": null, | 127 | "cache_url": null, | ||
122 | "created": "2023-03-22T16:04:48.891237", | 128 | "created": "2023-03-22T16:04:48.891237", | ||
123 | "datastore_active": false, | 129 | "datastore_active": false, | ||
124 | "description": "Sensor of SmartCityTrees", | 130 | "description": "Sensor of SmartCityTrees", | ||
125 | "download_url": "", | 131 | "download_url": "", | ||
126 | "format": "JPEG", | 132 | "format": "JPEG", | ||
127 | "geonetwork_url": "", | 133 | "geonetwork_url": "", | ||
128 | "hash": "c5308ce5e452cf103abe4bccf20e9e810b5b6854", | 134 | "hash": "c5308ce5e452cf103abe4bccf20e9e810b5b6854", | ||
129 | "id": "b04caff3-59f3-4d66-b152-ff9ab201d88e", | 135 | "id": "b04caff3-59f3-4d66-b152-ff9ab201d88e", | ||
130 | "language": "", | 136 | "language": "", | ||
131 | "last_modified": "2023-03-22T16:04:48.783775", | 137 | "last_modified": "2023-03-22T16:04:48.783775", | ||
132 | "layer_extent": "", | 138 | "layer_extent": "", | ||
133 | "linked_schemas": "", | 139 | "linked_schemas": "", | ||
134 | "metadata_language": "", | 140 | "metadata_language": "", | ||
135 | "mimetype": "image/jpeg", | 141 | "mimetype": "image/jpeg", | ||
136 | "mimetype_inner": null, | 142 | "mimetype_inner": null, | ||
137 | "name": "SmartCityTrees sensor", | 143 | "name": "SmartCityTrees sensor", | ||
138 | "package_id": "39992833-4a81-4cc0-bb66-e333f0159727", | 144 | "package_id": "39992833-4a81-4cc0-bb66-e333f0159727", | ||
139 | "position": 0, | 145 | "position": 0, | ||
140 | "resource_status": "", | 146 | "resource_status": "", | ||
141 | "resource_type": null, | 147 | "resource_type": null, | ||
142 | "rights": "", | 148 | "rights": "", | ||
143 | "size": 964100, | 149 | "size": 964100, | ||
144 | "state": "active", | 150 | "state": "active", | ||
145 | "timestamp_identifier": "", | 151 | "timestamp_identifier": "", | ||
146 | "url": | 152 | "url": | ||
147 | ff3-59f3-4d66-b152-ff9ab201d88e/download/smart_city_trees_sensor.jpg", | 153 | ff3-59f3-4d66-b152-ff9ab201d88e/download/smart_city_trees_sensor.jpg", | ||
148 | "url_type": "upload", | 154 | "url_type": "upload", | ||
149 | "wfs_url": "", | 155 | "wfs_url": "", | ||
150 | "wms_url": "" | 156 | "wms_url": "" | ||
151 | } | 157 | } | ||
152 | ], | 158 | ], | ||
153 | "state": "active", | 159 | "state": "active", | ||
154 | "tags": [], | 160 | "tags": [], | ||
155 | "theme": "environment", | 161 | "theme": "environment", | ||
156 | "title": "Soil moisture data from SmartCityTrees", | 162 | "title": "Soil moisture data from SmartCityTrees", | ||
157 | "type": "dataset", | 163 | "type": "dataset", | ||
158 | "url": null, | 164 | "url": null, | ||
159 | "version": "" | 165 | "version": "" | ||
160 | } | 166 | } |