Observation Instance
Get a list of Observation objects.
### Available end points:
- `/observations/` - Will list all Results in the database
- `/observations.json` - Will return all Results in json format. This can
also be achieved by using the accept header. `application/json`
- `/observations/<object_id>/` - Returns Results object with that id
### Available Methods:
- `GET`
- `HEAD`
### Available filters:
- `title`
- `uuid`
- `keywords`
- `status`
- `result_field`
- `discoveryKeywords`
- `updateFrequency`
- `nonGeographicFlag`
- `publicationState`
- `permissions`
### How to use filters:
These filters can be used like django query filters using __ for related model relationships.
- `/observations/?uuid=d594d53df2612bbd89c2e0e770b5c1a0`
- `/observations/?status=completed`
- `/observations/?results_field__dataPath__startswith=/neodc/esacci`
- `/observations/?discoveryKeywords__name=ESACCI`
- `/observations/?nonGeographicFlag=True`
Filters can be stacked to build an 'AND' relationship. E.g.
- `/observations/?publicationState__in=published,citable&nonGeographicFlag=True`
- `/observations/?publicationState__in=published,citable&discoveryKeyword__name=NDGO0003`
GET /api/v2/observations/4442/?format=api
{ "ob_id": 4442, "uuid": "fd1f0377eef5b47ca4e3d889d5d84987", "title": "Ozone Satellite Data, Part of the Met Office MetDB System", "abstract": "The ozone satellite data describe ozone measurements deduced from satellite data. The dataset contains atmospheric profiles of ozone concentrations. The data are measured by satellites and around 2700 observations are made per day.", "keywords": "Met Office, MetDB, Ozone, Satellite", "publicationState": "published", "dataPublishedTime": "2008-08-13T11:20:30", "doiPublishedTime": null, "updateFrequency": "continual", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/4443/?format=api", "dataPath": "/badc/ukmo-metdb/data/ozonesat/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 314782643423, "numberOfFiles": 2728, "fileFormat": "<div property=\"cedacat:formats\">\r\n<div class=\"formats\">Data availability and file format</div>\r\n\r\n<a id=\"MessageTables\" name=\"MessageTables\"><h4>Message Tables</h4></a>\r\n\r\n<p>\r\nThe Met Office MetDB holds data from a variety of different message types covering observations from satellites, profiling instruments (e.g. radiosondes and wind profilers) and surface based observations (e.g land meteorological recording stations). The BADC has obtained access to an number of the message types that should be of greatest use to the atmospheric research community and the data are stored in a the <a href=\"http://badc.nerc.ac.uk/help/formats/badc-csv/\">BADC-CSV format</a>, which is comma separated, plain text, \"human\" readable and self describing. <br /><br />\r\nThe following message types are available through the BADC. Follow the links to see the appropriate table detailing the elements within each message type:\r\n</p>\r\n<table align=\"center\" border=\"1\" cellspacing=\"0\" width=\"55%\">\r\n <tbody><tr>\r\n <td align=\"center\" valign=\"TOP\" width=\"10%\"><b><i>Message Name</i></b></td>\r\n <td valign=\"TOP\" width=\"20%\"><b><i>Description &amp; Link</i></b></td>\r\n\r\n </tr><tr>\r\n <td align=\"center\" valign=\"TOP\" width=\"10%\"><b>AMDARs</b></td>\r\n <td valign=\"TOP\" width=\"20%\"><a href=\"http://badc.nerc.ac.uk/data/ukmo-metdb/amdars.html\">Aircraft Meteorological Data Relay</a></td>\r\n </tr><tr>\r\n <td align=\"center\" valign=\"TOP\" width=\"10%\"><b>LNDSYN</b></td>\r\n <td valign=\"TOP\" width=\"20%\"><a href=\"http://badc.nerc.ac.uk/data/ukmo-metdb/lndsyn.html\">Land based SYNOP messages</a></td>\r\n </tr><tr>\r\n\r\n <td align=\"center\" valign=\"TOP\" width=\"10%\"><b>RASS</b></td>\r\n <td valign=\"TOP\" width=\"20%\"><a href=\"http://badc.nerc.ac.uk/data/ukmo-metdb/rass.html\">Radio Acoustic Sounding System messages</a></td>\r\n </tr><tr>\r\n\r\n <td align=\"center\" valign=\"TOP\" width=\"10%\"><b>SHPSYN</b></td>\r\n <td valign=\"TOP\" width=\"20%\"><a href=\"http://badc.nerc.ac.uk/data/ukmo-metdb/shpsyn.html\">Ship based SYNOP messages</a> (including buoy and fixed platform)</td>\r\n </tr><tr>\r\n\r\n <td align=\"center\" valign=\"TOP\" width=\"10%\"><b>WINPRO</b></td>\r\n <td valign=\"TOP\" width=\"20%\"><a href=\"http://badc.nerc.ac.uk/data/ukmo-metdb/winpro.html\">Wind profiler observations </a></td>\r\n </tr></tbody></table>\r\n<br />\r\n\r\n<h4>File Format</h4>\r\n<p>The data are held in the BADC-CSV file format, each of which will contain one or more data records and are comma separated variables. \"Metadata\" are provided giving a full description of the content of the data. More information about the file format can be found on the <a href=\"http://badc.nerc.ac.uk/help/formats/badc-csv/\">BADC-CSV format page</a>, which also contains two example files taken from the MetDB dataset.</p>\r\n\r\n<p>As the data are held as comma separated variable the file should load automatically into programmes such as Microsoft Excel. Alternatively see the following webguide on how to read a text file into Excel:</p>\r\n<table>\r\n<tbody><tr><td><a href=\"http://badc.nerc.ac.uk/web_guides/csv_to_excel_demo_skin.swf\" target=\"blank\"><img align=\"absmiddle\" alt=\"view guide\" border=\"0\" src=\"http://badc.nerc.ac.uk/graphics/logos/small/wgclapper_icon.png\" /></a></td><td><i>How to convert a text file to Excel.</i></td></tr>\r\n</tbody></table>\r\n</div>\r\n\r\n" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/1267/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11476/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11477/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11478/?format=api" ], "dataLineage": "Data are extracted from the Met Office's \"metDB\" system and supplied to BADC. These are then processed to generate BADC-CSV files, where possible. METARS and CLIMAT message types are stored as original message types only within http://data.ceda.ac.uk/badc/ukmo-metdb/raw", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/2983/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/4405/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/4355/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/20883/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/20885/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/20886/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/20887/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/20889/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/44593/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/44594/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/20884/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/4445/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2532/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ukmo_wx", "label": "restricted: ukmo_wx group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement.pdf", "licenceClassifications": "academic" }, { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2533/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ukmo_wx_gov", "label": "restricted: ukmo_wx_gov group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement_gov.pdf", "licenceClassifications": "policy" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }