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/25941/?format=api
{ "ob_id": 25941, "uuid": "38296ae73f3b44f5b8d66dcc3ed398bd", "title": "QA4ECV Polar sea-ice spectral albedo (2000-2016)", "abstract": "The Quality Assurance for Essential Climate Variables (QA4ECV) project produced four daily polar sea-ice products, each with a different averaging time window (24 hours, 7 days, 15 days, 31 days). For each time window, the number of samples, mean and standard deviation of Multi-angle Imaging SpectroRadiometer (MISR) cloud-free sea ice albedo was calculated. These products are on a predefined polar stereographic grid at three spatial resolutions (1 km, 5 km, 25 km). The time span of the generated sea ice albedo covers the months between March and September of each year from 2000 to 2016 inclusive.\r\n\r\nIf publishing results based on this dataset, please cite the following: S. Kharbouche and J.-P. Muller, “Sea Ice Albedo from MISR and MODIS: Production, Validation, and Trend Analysis,” Remote Sensing, vol. 11,no. 1, p. 9, Dec. 2018. DOI: 10.3390/rs11010009. URL:http://www.mdpi.com/2072-4292/11/1/9", "keywords": "Albedo, Polar, Climate, Sea Ice, Radiometer", "publicationState": "citable", "dataPublishedTime": "2019-01-18T13:01:13", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/26911/?format=api", "dataPath": "/neodc/qa4ecv/data/sea_ice/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2224562524077, "numberOfFiles": 39313, "fileFormat": "These data are in NetCDF format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7010/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/24786/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/24787/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/24788/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/24789/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/24790/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/24791/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/24792/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/24793/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/24794/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/24795/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/24796/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/24797/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/24798/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/24799/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/24800/?format=api" ], "dataLineage": "Data are provided by the QA4ECV project for archival with CEDA. Data are in NetCDF format.\r\n\r\nIf publishing results based on this dataset, please cite the following: S. Kharbouche and J.-P. Muller, “Sea Ice Albedo from MISR and MODIS: Production, Validation, and Trend Analysis,” Remote Sensing, vol. 11,no. 1, p. 9, Dec. 2018. DOI: 10.3390/rs11010009. URL:http://www.mdpi.com/2072-4292/11/1/9", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10211/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/25937/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/25940/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/25978/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112952/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108433/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112951/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108435/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108436/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112953/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113178/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112954/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108434/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/108437/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/26906/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }