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/19267/?format=api
{ "ob_id": 19267, "uuid": "0872cfcf994b4c6292e19f69fb0e7541", "title": "ECMWF ERA-15: Surface Orography Data", "abstract": "The European Centre for Medium-Range Weather Forecasts (ECMWF) has provided global atmospheric analyses from its archive for many years. The ERA-15 Re-analysis project was devised in response to wishes expressed by many users for a data set generated by a modern, consistent, and invariant data assimilation system. The ERA-15 project produced a long time-series (January 1979 - February 1994) of consistent meteorological analyses using a single version of the ECMWF model. \r\n\r\nThis dataset contains surface orography data. These data are available in gaussian N80 gridded, lat-long (2.5 degree) gridded and spectral form, from the initialised and uninitialised datasets (N.B. initialised spectral is missing at the moment).\r\n\r\nNote that the grid-point orography files change with date. This does not affect the ERA period but if you use Operational data for later dates you will need\r\nto use the different orography files from our ecmwf-op directory.\r\n\r\nThe spectral orography file spor90010100 contains just the orography data (surface geopotential).\r\n\r\nThe other files contain the constant fields:\r\nGeopotential (at the surface, orography)\r\nStandard deviation of orography\r\nAnisotropy of subgrid scale orography\r\nAngle of subgrid scale orography\r\nSlope of subgrid scale orography\r\nLand/Sea mask\r\n\r\ngpor79010100 contains the gaussian gridded data\r\nllor80010100 contains the 2.5 degree gridded data\r\n", "keywords": "ECMWF, ERA, ERA 15, reanalysis, surface, orography", "publicationState": "published", "dataPublishedTime": "2006-12-10T11:28:21", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/19268/?format=api", "dataPath": "/badc/ecmwf-era/data/orography", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 584376, "numberOfFiles": 5, "fileFormat": "Data are GRIB 1 formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/1583/?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/23144/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/23401/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/23402/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/23403/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/23404/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/23405/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/23406/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/23408/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/23410/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25846/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25929/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/26005/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/26007/?format=api" ], "dataLineage": "Data were extracted from European Centre for Medium-Range Weather Forecasts (ECMWF) MARS system and transferred to BADC where they were ingested into the archive.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/5490/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/5487/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72787/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72789/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72785/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72786/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72783/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72790/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72834/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72784/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72833/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72835/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/72788/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/5491/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2536/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ecmwf-era-products.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }