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/27607/?format=api
{ "ob_id": 27607, "uuid": "dd63f6f7239f4c1da830950c6e58cfdd", "title": "FIDUCEO: Sea and Lake Surface Temperature Climate Data Record, V2.11, 2006 -2016", "abstract": "The FIDelity and Uncertainty in Climate data records from Earth Observations (FIDUCEO) project Sea and Lake Surface Temperature Climate Data Record core retrieved quantity is the skin (radiometric) temperature of the Earth’s water surfaces (sea and large lakes). This is provided as a best estimate, plus an ensemble of 10 perturbations capturing known uncertainties. The CDR contains grid-cell instantaneous averagesof retrieved surface temperature over ice-free oceans and 300 large lakes.\r\n\r\n\r\nThe FIDUCEO Surface Temperature CDR differs from the ESA Sea Surface Temperature Climate Change Initiative CDRs ; which were generated using in the using the same cloud detection and SST retrieval methodology in the following points:\r\n\r\n- The calibration of the brightness temperatures used is revised for the FIDUCEO ST CDR. The first step in this has been multi-sensor harmonisation to obtain baseline calibration coefficients (Giering et al., 2019). For specific ST application, these coefficients were adjusted such that SSTs had lower bias, using a method of cross-referencing to matched drifting buoys (Merchant et al., 2019)\r\n- Perturbations to the obtained ST and quality level determination are provided for an ensemble of 10 members, for the purpose of propagating uncertainty in ST in complex (large scale, non-linear) applications.\r\n- The FIDUCEO ST CDR includes retrievals over the world’s 300 largest lakes, unlike the SST-only product. (Lakes, including much smaller lakes,are addressed in other CDRs requiring significantly different methodsto cope with the difficulties of small target water bodies.)\r\n\r\nFull documentation including product user guide, tutorials, the scientific basis and relevant publications are available in the documentation.", "keywords": "Uncertainty, FIDUCEO, AVHRR, Climate Data Record, Sea Surface Temperature, Lake Surface Temperature, MetopA", "publicationState": "published", "dataPublishedTime": "2019-11-08T12:57:58", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/28109/?format=api", "dataPath": "/neodc/fiduceo/data/cdr/sst_lst/v2.11/metopa/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 602826757536, "numberOfFiles": 72959, "fileFormat": "The data files are CF compliant NetCDF version 4. See fomat specification in documentation for further information" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7601/?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/50415/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50417/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52527/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52529/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52530/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52532/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52535/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52536/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52539/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52540/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52542/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52543/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52545/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/57984/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/57985/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/57986/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/57987/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/57988/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/57989/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59109/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70255/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70256/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70257/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74117/?format=api" ], "dataLineage": "Supplied to CEDA for archival by Claire Bulgin of the University of Reading on behalf of the H2020 FIDUCEO project", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/27632/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/27633/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30128/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/119192/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/119196/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/119189/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115416/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/119186/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/119190/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/119191/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/119193/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/119195/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/119194/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/119185/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/119187/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/119188/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/28244/?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" } ] }