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/31800/?format=api
{ "ob_id": 31800, "uuid": "b5ea7341a7164525b74143d8afe77223", "title": "Global model data generated for COVID-19 simulations 2012-2014", "abstract": "Global model data has been generated for COVID-19 (Coronavirus Disease 2019) simulations. The model used was the United Kingdom Earth System Model 1.0 (UKESM1.0), in an atmosphere-only nudged configuration, with Met Office Unified Model version 11.5. The data is on a global N96 grid (192 x 144 points), and covers the years 2012, 2013, and 2014. These data were used to study the effect of COVID-19 lockdowns (simulated scenarios) on atmospheric composition and radiative forcing.\r\n\r\nThe dataset includes data used in the paper submitted to Geophysical Research Letters (GRL) August 2020 with title 'Minimal climate impacts from short-lived climate forcers following emission reductions related to the COVID-19 pandemic'. See Details/Docs tab for a link to this. For this purpose, there are four experimental integrations (a1, a2, a3, a4), and a control (con) for each year. The files are labelled using variable codes such as m01s34i001 to determine the model variable field contained. A full description of what these are can be found in the included docs/file variable_codes.txt.\r\n\r\nThe data are in NetCDF format, and were generated from the following suites: u-bt034, u-bt090, u-bt091, u-bt092, u-bt637, u-bt341, u-bt342, u-bt343, u-bt344, u-bt926, u-bt375, u-bt376, u-bt377, u-bt378, u-bt927. \r\n\r\nThis is a NERC funded project.", "keywords": "COVID19, covid, emissions, aerosol, simulations", "publicationState": "citable", "dataPublishedTime": "2020-08-28T07:26:26", "doiPublishedTime": "2020-08-28T13:29:06", "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/31807/?format=api", "dataPath": "/badc/deposited2020/COVID19_emiss_reduc_study/data", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1506332387555, "numberOfFiles": 8198, "fileFormat": "The data are in NetCDF format." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8698/?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/6023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/19039/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/19043/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/21990/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/22005/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30343/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30344/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30345/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30346/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30347/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30348/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30349/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30350/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30351/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30352/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30353/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30354/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30355/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30356/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30357/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30358/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30359/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30360/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30361/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30362/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30363/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30364/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30365/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30366/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30367/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30368/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30369/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30370/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30373/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30374/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50512/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51186/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51187/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/53096/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54871/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54872/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54873/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54874/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54875/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54878/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54880/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54881/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64049/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/67800/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92010/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92011/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92012/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92013/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92014/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92015/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92016/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92017/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92018/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92019/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92020/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92021/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92022/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92023/?format=api" ], "dataLineage": "Simulations run on Met Office MONSooN2. Data extracted from MASS to JASMIN as PP files. Converted to CF-compliant NetCDF format using Python 3.7.1.\r\n\r\nData were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10747/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/31799/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140322/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140321/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140310/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140313/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140309/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140308/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140317/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140312/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140311/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148579/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140315/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140316/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140318/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140319/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140320/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/4335/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }