Observation List – Django REST framework

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/?format=api&offset=5200

HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "count": 10400,
    "next": "https://catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=5300",
    "previous": "https://catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=5100",
    "results": [
        {
            "ob_id": 25241,
            "uuid": "e1792258138d410f8dd78d8ffbfc537a",
            "title": "FAAM C032 CLARIFY flight: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft",
            "abstract": "Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for CLouds and Aerosol Radiative Impacts and Forcing: Year 2016 (CLARIFY-2016) project.",
            "keywords": "CLARIFY, FAAM, airborne, atmospheric measurments",
            "publicationState": "published",
            "dataPublishedTime": "2017-10-03T13:15:11.949892",
            "doiPublishedTime": null,
            "updateFrequency": "asNeeded",
            "status": "ongoing",
            "result_field": {
                "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/25240/?format=api",
                "dataPath": "/badc/faam/data/2017/c032-aug-19",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 1663115615,
                "numberOfFiles": 38,
                "fileFormat": "Data are netCDF and NASA-Ames formatted. Ancillary files may be plain ASCII or PDF formatted. Image files may be PNG formatted."
            },
            "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/6827/?format=api",
            "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/4286/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/1347/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/26172/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/26173/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/26174/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/26175/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/26176/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/26177/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/26178/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/26179/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/26180/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/26181/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/26182/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/26183/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/26184/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/26185/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/26186/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/26187/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/26188/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/26189/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/26190/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/26191/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/26192/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/26193/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/26194/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/26195/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/26196/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/26197/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/26198/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/26199/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/26200/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/26201/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/26202/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/26203/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/26204/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/32419/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/32420/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/32421/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/32422/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/32423/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/32424/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/32425/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/32426/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/32427/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/32428/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/32429/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/32430/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/32431/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/32432/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/32433/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50512/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50835/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50836/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50837/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50838/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50839/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50840/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50841/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50842/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50843/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50844/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50845/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50846/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50847/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50848/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50849/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50850/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50851/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50852/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50853/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50854/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50855/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50856/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50857/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50858/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50859/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50860/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50861/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50862/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50863/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50864/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50865/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50866/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50867/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50868/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50869/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50870/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50871/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50872/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50873/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50874/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50875/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50876/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50877/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50878/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50879/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50880/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50881/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50882/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50883/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50884/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50885/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50886/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50887/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50888/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50889/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50890/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50891/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50892/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50893/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50894/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50895/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50896/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50897/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50898/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50899/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50900/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50901/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50902/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50903/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50904/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50905/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50906/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50907/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50908/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50909/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50910/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50911/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50912/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50913/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50914/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50915/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50916/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50917/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50918/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50919/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50920/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50921/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50922/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50923/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50924/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50925/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50926/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50927/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50928/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50929/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50930/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50931/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50932/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50933/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50934/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50935/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50936/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50937/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50938/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50939/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50940/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50941/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50942/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50943/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50944/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50945/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50946/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50947/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50948/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50949/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50950/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50951/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50952/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50953/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50954/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50955/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50956/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50957/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50958/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50959/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50960/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50961/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50962/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50963/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50964/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50965/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50966/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50967/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50969/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50970/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50971/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50973/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50974/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50975/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50976/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50977/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50978/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50979/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50982/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50983/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50984/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50985/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50986/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50987/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50988/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50989/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50990/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50991/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50992/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50993/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50994/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50995/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50996/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50997/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50998/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50999/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/51000/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/51001/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/51002/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/51003/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/51004/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/51005/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/51006/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/51007/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/51008/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/51009/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/51010/?format=api",
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                "https://catalogue.ceda.ac.uk/api/v2/rpis/103537/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/103538/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/103530/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/103535/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/103536/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/103533/?format=api",
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            ],
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        {
            "ob_id": 25276,
            "uuid": "f9df4417213b49a888ab2c85faefd2ba",
            "title": "Sentinel 2B Multispectral Instrument (MSI) Level 1C data",
            "abstract": "This dataset contains Top-of Atmosphere (TOA) reflectances in cartographic geometry (level 1C) processed data, from the Multispectral Instrument (MSI) aboard the European Space Agency (ESA) Sentinel 2B satellite. Sentinel 2B was launched on 7th March 2016 and provides multispectral images of the earth’s surface as a continuation and enhancement of the Landsat and SPOT missions. Data are provided by the European Space Agency (ESA) and are made available via CEDA to any registered user.\r\n\r\nCEDA have switched to provide Sentinel 2 data for the UK and Dependencies along with data needed per project basis as of April 2019. Please contact us if you need data outside these areas and we will see what we can do.",
            "keywords": "Sentinel, Multispectral Instrument, MSI, Level 1C",
            "publicationState": "published",
            "dataPublishedTime": "2016-11-16T16:20:26",
            "doiPublishedTime": null,
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            "status": "ongoing",
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                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 554278550920886,
                "numberOfFiles": 4352991,
                "fileFormat": "These data are JPG 2000 formatted."
            },
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            "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/1/?format=api",
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            "phenomena": [
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            "dataLineage": "Data collected and prepared by European Space Agency (ESA). Downloaded from the Collaborative Hub for use by registered users of CEDA.",
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            "language": "English",
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                "https://catalogue.ceda.ac.uk/api/v2/rpis/103562/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/146231/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/103554/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/103566/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/103564/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/103560/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/103556/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/103552/?format=api"
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        {
            "ob_id": 25278,
            "uuid": "bb6d82f8adbb49bf9f9b26a84a4c7c85",
            "title": "GERB-1: Level 2 High resolution (L2hr) top of atmosphere radiance and flux data",
            "abstract": "The Geostationary Earth Radiation Budget (GERB-1) Level 2 High Resolution (L2HR) dataset contains accurate measurements of the Earth Radiation Budget.  Broadband measurements of earth-leaving radiances are made from which the emitted thermal and reflected solar components of the Earth Radiation Budget are derived. These data are available at a time resolution of 15 minutes for the region 60E to 60W, 60N to 60S and area are ideal for studying fast variations in the radiation budget such as those associated with changing cloud conditions, aerosol events and the diurnal cycle. Time and pixel centres matched with METEOSAT imager SEVIRI.\r\n\r\nThe level 2 HR (High Resolution) data are resolution enhanced snapshots of the top of atmosphere radiances and fluxes every 15 minutes. They are provided at the product acquisition time of the METEOSAT narrowband SEVIRI imager on a fixed equal viewing angle grid matched to 3x3 SEVIRI pixel grid-boxes.  This gives the HR product a temporal resolution of 15 minutes and a grid spacing of 9 km at the sub-satellite point. The time in the product name is the same as the SEVIRI product name time. Instantaneous accuracy at the HR scale is expected to be lower than for the lower spatial resolution GERB products as additional noise is introduced by the resolution enhancement, particularly for very inhomogeneous scenes and extreme angles. However, the HR product is recommended as the basis for users wishing to create custom averages over time and space and its production ensures that after appropriate averaging its accuracy is commensurate with the other GERB products\r\n\r\nThe GERB instrument was specifically designed to be mounted on a geostationary satellite and was carried onboard the Meteosat Second Generation satellite operated by European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT). The second GERB instrument, GERB-1, was onboard Meteosat Second Generation satellite, MSG-2, and covers the period May 2007 to January 2013. \r\n\r\nUsers must read the quality summary associated with these data and will find details of user applied correction that are recommended to be applied to these datasets before using. Please cite Harries et al., 2005: The Geostationary Earth Radiation Budget Project, Bull. Amer. Meteorol. Soc., Vol. 86, 945-960, doi: 10.1175/BAMS-86-7-945.",
            "keywords": "GERB, solar, thermal, radiation",
            "publicationState": "published",
            "dataPublishedTime": "2018-03-26T15:04:31",
            "doiPublishedTime": null,
            "updateFrequency": "notPlanned",
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            "uuid": "029b11f4c46a472293bc401c4b5afdc7",
            "title": "GERB-2: Level 2 High resolution (L2hr) top of atmosphere radiance and flux data",
            "abstract": "The Geostationary Earth Radiation Budget (GERB-2) Level 2 High Resolution (L2HR) dataset contains accurate measurements of the Earth Radiation Budget.  Broadband measurements of earth-leaving radiances are made from which the emitted thermal and reflected solar components of the Earth Radiation Budget are derived. These data are available at a time resolution of 15 minutes for the region 60E to 60W, 60N to 60S and area are ideal for studying fast variations in the radiation budget such as those associated with changing cloud conditions, aerosol events and the diurnal cycle. Time and pixel centres matched with METEOSAT imager SEVIRI.\r\n\r\nThe level 2 HR (High Resolution) data are resolution enhanced snapshots of the top of atmosphere radiances and fluxes every 15 minutes. They are provided at the product acquisition time of the METEOSAT narrowband SEVIRI imager on a fixed equal viewing angle grid matched to 3x3 SEVIRI pixel grid-boxes.  This gives the HR product a temporal resolution of 15 minutes and a grid spacing of 9 km at the sub-satellite point. The time in the product name is the same as the SEVIRI product name time. Instantaneous accuracy at the HR scale is expected to be lower than for the lower spatial resolution GERB products as additional noise is introduced by the resolution enhancement, particularly for very inhomogeneous scenes and extreme angles. However, the HR product is recommended as the basis for users wishing to create custom averages over time and space and its production ensures that after appropriate averaging its accuracy is commensurate with the other GERB products\r\n\r\nThe GERB instrument was specifically designed to be mounted on a geostationary satellite and was carried onboard the Meteosat Second Generation satellite operated by European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT). The first GERB instrument, GERB-2, was onboard Meteosat Second Generation satellite, MSG-1, and covers the period March 2004 to May 2007. \r\n\r\nUsers must read the quality summary associated with these data and will find details of user applied correction that are recommended to be applied to these datasets before using. Please cite Harries et al., 2005: The Geostationary Earth Radiation Budget Project, Bull. Amer. Meteorol. Soc., Vol. 86, 945-960, doi: 10.1175/BAMS-86-7-945.",
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            "title": "Penlee Point Atmospheric Observatory: Meteorological and chemical observations 2014- present",
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            "keywords": "Penlee, Atmospheric, Meteorology, Pollution, Chemistry, Ozone, Sulphur Dioxide, Carbon Dioxide, Rainfall, Wind, Methane",
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            "title": "APHH: Single Particle Soot Photometer measurements made at the IAP-Beijing site during the summer and winter campaigns",
            "abstract": "This dataset contains single particle soot photometer measurements made at the IAP-Beijing site during the summer and winter APHH-Beijing campaign for the Atmospheric Pollution & Human Health in a Chinese Megacity (APHH) programme.",
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            "title": "PRESTO: Unified model simulation data",
            "abstract": "This dataset contains the input data (initial conditions, boundary conditions, initial perturbations) for Met Office Unified Model simulations performed during the PRESTO (PREcipitation STructures over Orography) project. It also contains the 2D and 3D output files from these simulations.\r\n\r\nThe PRESTO project was funded by the Natural Environment Research Council (NERC) with the grant references - NE/I024984/1 and NE/I026545/1 - led by Professor Suzanne Gray (University of Reading) and Professor David Schultz (University of Manchester). \r\n\r\nPRESTO provided a leap forward in the understanding and prediction of quasi-stationary orographic convection in the UK and beyond. This was achieved through an intensive climatological analysis over several regions of the globe where continuous radar data was available, which identified the environmental conditions that support the bands and their characteristic locations and morphologies. Complementary high-resolution numerical simulations pinpointed the underlying mechanisms behind the bands and their predictability in numerical weather prediction models. This work provides positive impacts for the forecasting community, general public, and other academics in the field. Forecasters benefit from the identification of simple diagnostics that can be used operationally to predict these events based on available model forecasts and/or upstream soundings. A series of activities were used to directly engage with forecasters to effectively disseminate our findings. The public benefit from this improved forecasting of potentially hazardous precipitation events. The academic community benefit from the advanced physical understanding (which was disseminated through conferences, workshops, and peer-reviewed publications) and the numerous international collaborations associated with this project.",
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            "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global ocean colour data products gridded on a geographic projection (All Products), Version 3.1",
            "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 3.1 generated ocean colour products on a geographic projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites).  Data are also available as monthly climatologies.\r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320.   (A separate dataset is also available for data on a sinusoidal projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available.",
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            "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global attenuation coefficient for downwelling irradiance (Kd490) gridded on a sinusoidal projection, Version 3.1",
            "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 3.1 Kd490 attenuation coefficient (m-1) for downwelling irradiance product on a sinusoidal projection at approximately 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). It is computed from the Ocean Colour CCI Version 3.1 inherent optical properties dataset at 490 nm and the solar zenith angle. Note, these data are also contained within the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection).\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available.",
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            "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains their Version 3.1 chlorophyll-a product (in mg/m3) on a sinusoidal projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites).   Note, the chlorophyll-a data are also included in the 'All Products' dataset. \r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available.",
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            "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global ocean colour data products gridded on a sinusoidal projection (All Products), Version 3.1",
            "abstract": "The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nThis dataset contains all their Version 3.1 generated ocean colour products on a sinusoidal projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). \r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided.\r\n\r\nThis data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available.",
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                    "licenceClassifications": "any"
                }
            ],
            "discoveryKeywords": [
                {
                    "ob_id": 1138,
                    "name": "NDGO0003"
                }
            ]
        },
        {
            "ob_id": 25414,
            "uuid": "9c43b65c191b44cba2abb5f5c8821f20",
            "title": "Bias adjusted ERA-Interim Reanalysis for energy-relevant climate variables",
            "abstract": "This dataset contains the construction of a bias-adjusted climate variables at the near surface using ERA-Interim Reanalysis is presented. A number of different, variable-dependent, bias-adjustment approaches have been proposed. Here we modify the parameters of different distributions (depending on the variable), adjusting ERA-Interim based on gridded station or direct station observations. The variables are: air temperature, dewpoint temperature, precipitation (daily only), solar radiation, wind speed and relative humidity. These are available at either 3 or 6 h timescales over the period 1979-2016. The resulting bias-adjusted dataset is available through the Climate Data Store (CDS) of the Copernicus Climate Change Data Store (C3S). The benefit of performing bias-adjustment is demonstrated by comparing initial and bias-adjusted ERA-Interim data against gridded observational fields.",
            "keywords": "Reanalysis, ERA-Interim, climate variables, bias adjustment, energy sector",
            "publicationState": "working",
            "dataPublishedTime": null,
            "doiPublishedTime": null,
            "updateFrequency": "",
            "status": "completed",
            "result_field": null,
            "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/6879/?format=api",
            "geographicExtent": null,
            "nonGeographicFlag": false,
            "phenomena": [],
            "dataLineage": "Data were delivered to the Centre for Environmental Data Analysis (CEDA) for archiving.",
            "removedDataTime": null,
            "removedDataReason": "",
            "language": "English",
            "identifier_set": [],
            "projects": [
                "https://catalogue.ceda.ac.uk/api/v2/projects/24960/?format=api"
            ],
            "observationcollection_set": [],
            "responsiblepartyinfo_set": [
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105614/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105611/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105612/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105613/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105615/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105616/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105617/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105618/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105610/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105619/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105620/?format=api"
            ],
            "procedureAcquisition": null,
            "procedureCompositeProcess": null,
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            "permissions": [],
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        },
        {
            "ob_id": 25417,
            "uuid": "d920cb54fe694711b59379f2b1b1f569",
            "title": "Internal waves density and seabed interaction maps of UK continental shelf (2006-2012)",
            "abstract": "This dataset contains observational frequency maps of internal waves (IW) within the UK Continental Shelf (UKCS) region. The maps were generated by automatic processing of the ENVISAT Advanced Synthetic Aperture Radar (ASAR) data archive covering the period from 2006 to 2012. The IW frequency maps were combined with bathymetry and mixed layer depth modelling data to estimate the interaction of IWs with the sea bed. The results are presented in monthly, seasonal, annual and climatology maps.",
            "keywords": "Internal waves, seabed impact, SAR",
            "publicationState": "citable",
            "dataPublishedTime": "2018-01-03T10:19:50",
            "doiPublishedTime": "2018-01-03T10:52:28.508910",
            "updateFrequency": "notPlanned",
            "status": "completed",
            "result_field": {
                "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/25418/?format=api",
                "dataPath": "/badc/deposited2017/wave_density_map/data",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 458774882,
                "numberOfFiles": 3,
                "fileFormat": "Data are NetCDF, tar, GeoTIFF and PNG formatted"
            },
            "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/6880/?format=api",
            "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/1873/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [],
            "dataLineage": "These data have been sent to the Centre for Environmental Data Analysis (CEDA) for archiving.",
            "removedDataTime": null,
            "removedDataReason": "",
            "language": "English",
            "identifier_set": [
                "https://catalogue.ceda.ac.uk/api/v2/identifiers/9362/?format=api"
            ],
            "projects": [
                "https://catalogue.ceda.ac.uk/api/v2/projects/25415/?format=api"
            ],
            "observationcollection_set": [],
            "responsiblepartyinfo_set": [
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105637/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105641/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105631/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105634/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105635/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105636/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105638/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105639/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105640/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105632/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105633/?format=api"
            ],
            "procedureAcquisition": "https://catalogue.ceda.ac.uk/api/v2/acquisitions/25416/?format=api",
            "procedureCompositeProcess": null,
            "procedureComputation": null,
            "permissions": [
                {
                    "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api",
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                    "accessConstraints": null,
                    "accessCategory": "public",
                    "accessRoles": null,
                    "label": "public: None group",
                    "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/",
                    "licenceClassifications": "any, attribution required"
                }
            ],
            "discoveryKeywords": [
                {
                    "ob_id": 1138,
                    "name": "NDGO0003"
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        {
            "ob_id": 25419,
            "uuid": "072418297ba548b58a710f3d2692b23c",
            "title": "GloCAEM: Atmospheric electricity measurements at Tripura University, India",
            "abstract": "Global Coordination of Atmospheric Electricity Measurements (GloCAEM) project brought these experts together to make the first steps towards an effective global network for FW atmospheric electricity monitoring by holding workshops to discuss measurement practises and instrumentation, as well as establish recording and archiving procedures to archive electric field data in a standardised, easily accessible format, then by creating a central data repository. This project was funded in the UK under NERC grant NE/N013689/1.\r\n\r\nThis dataset contains measurements of atmospheric electricity and electric potential gradient made using a EFM-100 Atmospheric Electric Field Monitor at Tripura University, India.",
            "keywords": "GloCAEM, GEC, electric potential, electric field",
            "publicationState": "published",
            "dataPublishedTime": "2018-08-01T15:20:37",
            "doiPublishedTime": null,
            "updateFrequency": "unknown",
            "status": "completed",
            "result_field": {
                "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/25420/?format=api",
                "dataPath": "/badc/glocaem/data/tripura",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 5455647305,
                "numberOfFiles": 5177,
                "fileFormat": "Data are BADC-CSV formatted"
            },
            "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/6758/?format=api",
            "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/1874/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/54165/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/54166/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/54167/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/54168/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/54169/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/54170/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/54171/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/54172/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/54173/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/54174/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/54175/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/54176/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/54177/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/54178/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/54179/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/54180/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/54181/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/54182/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/54183/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/54184/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/54185/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/54186/?format=api"
            ],
            "dataLineage": "Data collected by project team and sent to CEDA",
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            "removedDataReason": "",
            "language": "English",
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                "https://catalogue.ceda.ac.uk/api/v2/projects/20068/?format=api"
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            "observationcollection_set": [
                "https://catalogue.ceda.ac.uk/api/v2/observationcollections/24981/?format=api"
            ],
            "responsiblepartyinfo_set": [
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105642/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105643/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105644/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105647/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105645/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105649/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105648/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105650/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105646/?format=api"
            ],
            "procedureAcquisition": "https://catalogue.ceda.ac.uk/api/v2/acquisitions/25421/?format=api",
            "procedureCompositeProcess": null,
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            "permissions": [
                {
                    "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/2546/?format=api",
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                    "accessCategory": "registered",
                    "accessRoles": null,
                    "label": "registered: None group",
                    "licenceURL": "http://creativecommons.org/licenses/by/4.0/",
                    "licenceClassifications": "any, attribution required"
                }
            ],
            "discoveryKeywords": [
                {
                    "ob_id": 1138,
                    "name": "NDGO0003"
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            ]
        },
        {
            "ob_id": 25425,
            "uuid": "de37c54e59a548ccb9f168ee724f3769",
            "title": "APHH: Volatile organic compound (VOC) mixing ratios made at the IAP-Beijing site during the summer and winter campaigns",
            "abstract": "This dataset contains volatile organic compound (VOC) mixing ratios recorded during two intensive field campaigns in Beijing (winter: 12/11/2016 - 10/12/2016; and summer: 15/05/2017 - 24/06/2017) as part of the Atmospheric Pollution & Human Health in a Chinese Megacity (APHH) programme. \r\n\r\nThe species recorded include methanol, acetonitrile, acetaldehyde, acrolein, acetone, isoprene, methyl vinyl ketone and methacrolein, methyl ethyl ketone, benzene, toluene, C2-benzenes, C3-benzenes and monoterpenes. The data were recorded using a proton transfer reaction-time of flight-mass spectrometer (PTR-ToF-MS) from a sampling height of 100m.",
            "keywords": "Volatile Organic Compounds, VOCs, APHH, Beijing",
            "publicationState": "published",
            "dataPublishedTime": "2018-01-11T14:05:37",
            "doiPublishedTime": null,
            "updateFrequency": "",
            "status": "completed",
            "result_field": {
                "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/25424/?format=api",
                "dataPath": "/badc/aphh/data/beijing/lanc-gas",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 298161,
                "numberOfFiles": 4,
                "fileFormat": "Data are NASA Ames formatted"
            },
            "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/6881/?format=api",
            "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/1856/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/66080/?format=api"
            ],
            "dataLineage": "Data produced by APHH project participants at University of Lancaster and uploaded to CEDA archive",
            "removedDataTime": null,
            "removedDataReason": "",
            "language": "English",
            "identifier_set": [],
            "projects": [
                "https://catalogue.ceda.ac.uk/api/v2/projects/24808/?format=api"
            ],
            "observationcollection_set": [
                "https://catalogue.ceda.ac.uk/api/v2/observationcollections/24817/?format=api"
            ],
            "responsiblepartyinfo_set": [
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105659/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105657/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105658/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105660/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105661/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105662/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105663/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105655/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105656/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105664/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105665/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105666/?format=api"
            ],
            "procedureAcquisition": "https://catalogue.ceda.ac.uk/api/v2/acquisitions/25427/?format=api",
            "procedureCompositeProcess": null,
            "procedureComputation": null,
            "permissions": [
                {
                    "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api",
                    "useLimitation": null,
                    "accessConstraints": null,
                    "accessCategory": "registered",
                    "accessRoles": null,
                    "label": "registered: None group",
                    "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/",
                    "licenceClassifications": "any, attribution required"
                }
            ],
            "discoveryKeywords": [
                {
                    "ob_id": 1138,
                    "name": "NDGO0003"
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            ]
        },
        {
            "ob_id": 25428,
            "uuid": "22241af0eb934cd7bfb1ae7418ad7c9e",
            "title": "APHH: Atmospheric nitrous acid (HONO) measurements made at the IAP-Beijing site during the summer and winter campaigns",
            "abstract": "This dataset contains atmospheric nitrous acid (HONO) measurements made at the IAP-Beijing site during the summer and winter APHH-Beijing campaign for the Atmospheric Pollution & Human Health in a Chinese Megacity (APHH) programme.\r\n\r\nHONO data was obtained using a commercial (QUMA) Long Path Absorption Photometer (LOPAP) instrument and calibrated using liquid nitrite standards. Data are averaged over 5 mins, the time stamp represents the start time of each averaging period. Missing data are either due to baseline measurements, calibrations or instrument malfunction. They are not retrievable.",
            "keywords": "HONO, China, LOPAP, APHH",
            "publicationState": "citable",
            "dataPublishedTime": "2018-01-11T12:07:14",
            "doiPublishedTime": "2019-12-13T14:39:23",
            "updateFrequency": "notPlanned",
            "status": "completed",
            "result_field": {
                "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/25431/?format=api",
                "dataPath": "/badc/aphh/data/beijing/birm-gas",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 1118698,
                "numberOfFiles": 11,
                "fileFormat": "Data are NASA Ames formatted"
            },
            "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/6882/?format=api",
            "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/1856/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/94596/?format=api"
            ],
            "dataLineage": "Data produced by APHH project participants at University of Birmingham and uploaded to CEDA archive",
            "removedDataTime": null,
            "removedDataReason": "",
            "language": "English",
            "identifier_set": [
                "https://catalogue.ceda.ac.uk/api/v2/identifiers/10668/?format=api"
            ],
            "projects": [
                "https://catalogue.ceda.ac.uk/api/v2/projects/24808/?format=api"
            ],
            "observationcollection_set": [
                "https://catalogue.ceda.ac.uk/api/v2/observationcollections/24817/?format=api"
            ],
            "responsiblepartyinfo_set": [
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105679/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105676/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105677/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105678/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105680/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105681/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105682/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105683/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105675/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105684/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105693/?format=api"
            ],
            "procedureAcquisition": "https://catalogue.ceda.ac.uk/api/v2/acquisitions/25430/?format=api",
            "procedureCompositeProcess": null,
            "procedureComputation": null,
            "permissions": [
                {
                    "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api",
                    "useLimitation": null,
                    "accessConstraints": null,
                    "accessCategory": "registered",
                    "accessRoles": null,
                    "label": "registered: None group",
                    "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/",
                    "licenceClassifications": "any, attribution required"
                }
            ],
            "discoveryKeywords": [
                {
                    "ob_id": 1138,
                    "name": "NDGO0003"
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            ]
        },
        {
            "ob_id": 25437,
            "uuid": "5f56428ca2674a45bbf97179d853df0e",
            "title": "Amazonica: Greenhouse gas profile measurements (CO, CO2, CH4) above the forest canopy at four sites",
            "abstract": "Profiles of greenhouse gases CO, CO2 and CH4 taken on board a small aircraft descending in a spiral from approximately 4,420m to about 300m a.s.l. (as close to the forest canopy as possible). Samples were taken by semi-automatically filling 12 (for the Tabatinga (TAB 69.7W, 6.0S), Alta Floresta (ALF 56.7W, 8.9S) and Rio Branco (RBA 67.9W, 9.3S) sites) and 17 (for the Santarem (SAN 65.0W, 2.9S) site) 0.7-litre flasks controlled from a microprocessor and contained in one suitcase. \r\n\r\nThe profiles were taken frequently throughout the measurement campaign (2010-2012) between 12:00 and 13:00 local time - at which time, the boundary layer is close to being fully developed. Once a vertical profile had been sampled (one suitcase filled) it was analysed  at the IPEN Atmospheric Chemistry Laboratory in Sao Paulo, using a replica of the NOAA/ ESRL trace gas analysis system.",
            "keywords": "Amazonica, carbon, methane, carbon dioxide Amazon, aircraft,",
            "publicationState": "published",
            "dataPublishedTime": "2016-11-29T09:57:54",
            "doiPublishedTime": null,
            "updateFrequency": "",
            "status": "completed",
            "result_field": {
                "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/20099/?format=api",
                "dataPath": "/badc/amazonica/data/greenhousegases/",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 1082148,
                "numberOfFiles": 10,
                "fileFormat": "Data are ASCII and NASA Ames formatted"
            },
            "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/6883/?format=api",
            "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/1652/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/25856/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/99578/?format=api"
            ],
            "dataLineage": "Data were collected by the AMAZONICA team and analysed at the IPEN Atmospheric Chemistry Laboratory in Sao Paulo, Brazil, using a replica of the NOAA/ ESRL trace gas analysis system; then deposited at BADC.",
            "removedDataTime": null,
            "removedDataReason": "",
            "language": "English",
            "identifier_set": [
                "https://catalogue.ceda.ac.uk/api/v2/identifiers/9363/?format=api"
            ],
            "projects": [
                "https://catalogue.ceda.ac.uk/api/v2/projects/2909/?format=api"
            ],
            "observationcollection_set": [
                "https://catalogue.ceda.ac.uk/api/v2/observationcollections/2906/?format=api"
            ],
            "responsiblepartyinfo_set": [
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105704/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105702/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/rpis/105703/?format=api",
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            "title": "HELIX: McArthur Forest Fire Danger Index (FFDI) for 2061 - 2070 at 1.5 and 2.0 degrees",
            "abstract": "The High-End cLimate Impacts and eXtremes (HELIX) project have calculated fire danger for the period 2061 to 2070 under two different climate change scenarios based on the Representative Concentration Scenario (RCP) scenarios used within the World Climate Research Programme's (WCRP) Climate Modelling Intercomparison Project phase 5 (CMIP5) using two Fire Indices, the McArthur Forest Fire Danger Index (FFDI), and the Angstroem Index. This work has been done to assess the change in fire danger at 1.5 degrees compared to 2 degrees Celsius.\r\n\r\nThis dataset presents those from the McArthur Forest Fire Danger Index (FFDI), utilising Met Office Earth System Model HadGEM2-ES model output at a spatial resolution of 1.875° x 1.25°. The original model data were produced and owned by the Met Office. These results have been saved into gridded netCDF files showing global fire risk. The files represent two experimental runs, one is driven by concentrations following the Representative Concentration Scenario (RCP) 2.6, and the second represents a theoretical Solar Radiation Management scenario using a sulphur dioxide aerosol injection to reduce global mean temperature to 1.5 degrees Celsius. There are 4 ensemble members for each experiment: apdib, apdic, apdid and apdie are the ensemble members for the RCP2.6+SRM run; ajnjm, kaadc, kaaec and kaafc are the ensemble members for the standard RCP2.6 run. A period of 10 years 2061-2070 is chosen for this analysis, and this is compared to a present day period of 2006-2015 (files are labelled according to the data period represented). ",
            "keywords": "HELIX, McArthur, Forest Fire",
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            "ob_id": 25827,
            "uuid": "75a7e567fe2342a493663a7a085d015e",
            "title": "HELIX: Angström calculated fire risk index for 2061 - 2070 at 1.5 and 2.0 degrees",
            "abstract": "The High-End cLimate Impacts and eXtremes (HELIX) project have calculated fire danger for the period 2061 to 2070 under two different climate change scenarios based on the Representative Concentration Scenario (RCP) scenarios used within the World Climate Research Programme's (WCRP) Climate Modelling Intercomparison Project phase 5 (CMIP5) using two Fire Indices, the McArthur Forest Fire Danger Index (FFDI), and the Angström Index. This work has been done to assess the change in fire danger at 1.5 degrees compared to 2 degrees Celsius.\r\n\r\nThis dataset presents those from the Angström calculated fire risk index, utilising Met Office Earth System Model HadGEM2-ES model output at a spatial resolution of 1.875° x 1.25°. The original model data were produced and owned by the Met Office. These results have been saved into gridded netCDF files showing global fire risk. The files represent two experimental runs, one is driven by concentrations following the Representative Concentration Scenario (RCP) 2.6, and the second represents a theoretical Solar Radiation Management scenario using a sulphur dioxide aerosol injection to reduce global mean temperature to 1.5 degrees Celsius. There are 4 ensemble members for each experiment: apdib, apdic, apdid and apdie are the ensemble members for the RCP2.6+SRM run; ajnjm, kaadc, kaaec and kaafc are the ensemble members for the standard RCP2.6 run. A period of 10 years 2061-2070 is chosen for this analysis, and this is compared to a present day period of 2006-2015 (files are labelled according to the data period represented). ",
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        {
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            "uuid": "3c67dfe728594fadabb920564af4df4a",
            "title": "HadISD: Global sub-daily, surface meteorological station data, 1931-2017, v2.0.2.2017p",
            "abstract": "This is version 2.0.2.2017p of Met Office Hadley Centre's Integrated Surface Database, HadISD. These data are global sub-daily surface meteorological data that extends HadISD v2.0.1.2016f to include 2017 and so spans 1931-2017. These data include an update to the station selected and contain 8103 stations. These are the preliminary data for this version, a finalised version will be released in a few months with any station updates.\r\n\r\nThe quality controlled variables in this dataset are: temperature, dewpoint temperature, sea-level pressure, wind speed and direction, cloud data (total, low, mid and high level). Past significant weather and precipitation data are also included, but have not been quality controlled, so their quality and completeness cannot be guaranteed. Quality control flags and data values which have been removed during the quality control process are provided in the qc_flags and flagged_values fields, and ancillary data files show the station listing with a station listing with IDs, names and location information. \r\n\r\nThe data are provided as one NetCDF file per station. Files in the station_data folder station data files have the format \"station_code\"_HadISD_HadOBS_19310101-20171231_v2-0-2-2017p.nc. The station codes can be found under the docs tab or on the archive beside the station_data folder. The station codes file has five columns as follows: 1) station code, 2) station name 3) station latitude 4) station longitude 5) station height.\r\n\r\nTo keep up to date with updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS.\r\n\r\nFor more detailed information e.g bug fixes, routine updates and other exploratory analysis, see the HadISD blog: http://hadisd.blogspot.co.uk/\r\n\r\nReferences:\r\nWhen using the dataset in a paper you must cite the following papers (see Docs for link to the publications) and this dataset (using the \"citable as\" reference) :\r\n\r\nDunn, R. J. H., Willett, K. M., Parker, D. E., and Mitchell, L.: Expanding HadISD: quality-controlled, sub-daily station data from 1931, Geosci. Instrum. Method. Data Syst., 5, 473-491, doi:10.5194/gi-5-473-2016, 2016.\r\n\r\nDunn, R. J. H., et al. (2012), HadISD: A Quality Controlled global synoptic report database for selected variables at long-term stations from 1973-2011, Clim. Past, 8, 1649-1679, 2012, doi:10.5194/cp-8-1649-2012\r\n\r\nSmith, A., N. Lott, and R. Vose, 2011: The Integrated Surface Database: Recent Developments and Partnerships. Bulletin of the American Meteorological Society, 92, 704–708, doi:10.1175/2011BAMS3015.1\r\n\r\nFor a homogeneity assessment of HadISD please see this following reference\r\n\r\nDunn, R. J. H., K. M. Willett, C. P. Morice, and D. E. Parker. \"Pairwise homogeneity assessment of HadISD.\" Climate of the Past 10, no. 4 (2014): 1501-1522. doi:10.5194/cp-10-1501-2014, 2014.",
            "keywords": "HadISD, temperature, dewpoint, pressure, wind, speed, direction, cloud, precipitation",
            "publicationState": "published",
            "dataPublishedTime": "2018-02-21T07:44:32",
            "doiPublishedTime": null,
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            "status": "superseded",
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            "dataLineage": "Data were processed by the ESA CCI Sea Ice project team, and were supplied to CEDA in the context of the ESA CCI Open Data Portal Project",
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                "https://catalogue.ceda.ac.uk/api/v2/rpis/108158/?format=api",
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        {
            "ob_id": 25879,
            "uuid": "ec331e93d21347e6bf5fa4b9c68dbd2c",
            "title": "Climatic Research Unit CRU TS 2.1 dataset of gridded month-by-month observed climate (Jan. 1901- Dec. 2002)",
            "abstract": "CRU TS2.1: The Climatic Research Unit (CRU) Time-Series (TS) version 2.1 of gridded data of month-by-month variation in climate (Jan. 1901- Dec. 2002). \r\n\r\nThe CRU TS 2.1 dataset is comprised of 1224 monthly grids of observed climate, for the period 1901-2002, covering the global land surface at 0.5 degree resolution. There are nine climate variables available: daily mean, minimum and maximum temperature, diurnal temperature range, precipitation, wet day frequency, frost day frequency, vapour pressure and cloud cover.\r\n\r\nThe primary purpose for this dataset is to provide environmental modellers with some of the inputs they require to run their models. \r\n\r\nThe creator of this data set (Dr. T. D. Mitchell) retains full ownership rights over it. The dataset may be freely used for non-commerical scientific and educational purposes, provided it is described as CRU TS 2.1 and attributed to: Mitchell, T.D., and P.D. Jones (2005): An improved method of constructing a database of monthly climate observations and associated high resolution grids. Int. J. Climatol. 25: 693–712, DOI: 10.1002/joc.1181",
            "keywords": "IPCC-DDC, CRU TS 2.1, temperature, precipitation,  vapour pressure, cloud cover, frost days, wet days, diurnal temperature range",
            "publicationState": "published",
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            "dataLineage": "Data provided to the Intergovernmental Panel on Climate Change Data Distribution Centre for archiving.",
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            "ob_id": 25882,
            "uuid": "4f4159c6251d49bdbab07fea1e6ffbdb",
            "title": "GERB-1: Level 2b averaged rectified geolocated radiance and flux data (L2barg)",
            "abstract": "This dataset contains Level 2b averaged rectified geolocated radiance and flux data (L2barg) taken at 17 minute time resolution. Each grid point is a 3 GERB scan average weighted by the instrument point spread function.\r\n\r\nThe Geostationary Earth Radiation Budget (GERB) instrument makes accurate broadband measurements of earth leaving radiances from the geostationary METOSAT Second Generation satellites from which the emitted thermal and reflected solar components of the Earth Radiation Budget are derived. These data are available at high time resolution for the portion of the globe observable from a METEOSAT geostationary orbit above 0, 0.  These data are ideal for studying fast variation in the radiation budget such as those associated with changing cloud conditions, aerosol events and the diurnal cycle.  GERB-1 (METEOSAT-9) record covers the period May 2007 to January 2013. \r\n\r\nUsers must read the quality summary associated with these data and will find details of user applied correction that are recommended to be applied to these datasets before using. Please cite Harries et al., 2005: The Geostationary Earth Radiation Budget Project, Bull. Amer. Meteorol. Soc., Vol. 86, 945-960, doi: 10.1175/BAMS-86-7-945.\r\n\r\nThe level 2b ARG (Averaged, Rectified, Geolocated) top of atmosphere radiance and flux products are averaged over three interleaved SW (short wave) and TOT (total) GERB scans. They are provided interpolated to a fixed rectified equal viewing angle grid and averaged resulting in a product with a temporal resolution of around 17 minutes.  Times contained in the level 2b ARG product names indicate the nominal start of the integration period.  North-south and east-west grid spacing is around 0.07° in viewing angle giving a spatial resolution of approximately 45 km at nadir. Whilst the radiances and fluxes are corrected for the spectral imperfections of the instrument, no correction is made for spatial non-uniformities in the instrument field of view response. Thus each ARG grid point is a weighted average of the observed scenes with the weighting determined by the instrument field of view response or Point Spread Function (PSF).",
            "keywords": "GERB, solar, thermal, radiation",
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                "volume": 1074,
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            "dataLineage": "Data collected by the GERB instrument onboard the Meteosat Second Generation satellite operated by European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT), then the data processed at RMIB (Royal Meteorological Institute of Belgium) then sent to CEDA by the GERB team at Imperial College and RAL (Rutherford Appleton Laboratory).",
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        {
            "ob_id": 25884,
            "uuid": "83f6530dedb94937924f48edad347fff",
            "title": "Merged SST and LST reconstructed anomaly averaged annually and between 90°S and 90°N",
            "abstract": "This dataset contains merged Sea Surface Temperature (SST) and Land Surface Temperature (LST) reconstructed anomaly averaged annually and between 90°S and 90°N. The anomalies are calculated with respect to the 1961–1990 mean, to help define long-term temperature variations over the twentieth century. The data were calculated in 2004 and data spans period from 1880 to 2009.",
            "keywords": "SST, LST, anomaly, ",
            "publicationState": "working",
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        {
            "ob_id": 25886,
            "uuid": "8eb35b1ab1b2476986d174a2f0231307",
            "title": "IASI global monthly averages of effective sulphur dioxide (SO2) column amounts, 2007 - 2014, version 1.0",
            "abstract": "This dataset contains global monthly averaged effective sulphur dioxide (SO2) column amounts derived from the Infrared Atmospheric Sounding Interferometer (IASI) instrument  on the METOP-A satellite.  The data have been produced by the University of Oxford as part of the NERC Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET). \r\n\r\nThis dataset has been produced using the Walker et al. (2011, 2012) linear retrieval developed for the Infrared Atmospheric Sounding Interferometer, which is able to detect sulphur dioxide (SO2) gas. This dataset  contains monthly averages of this retrieval output from June 2007 to December 2014 across the globe, within which it is possible to identify the period and the location of when we have an anomaly of SO2 in atmosphere. This includes volcanic eruptions alongside non-eruptive volcanic degassing, and human pollution sources. \r\n\r\nWithin the dataset are the average effective SO2 column amounts in Dobson Units (DU) for 0.125º by 0.125º gridboxes across the globe. Also included for each grid box are the standard deviation, and the number of pixel boxes contributing to the mean. The results from this dataset are discussed in Taylor et al. (2018) 'Exploring the utility of IASI for monitoring volcanic SO2 emissions' in review at JGR: Atmospheres.",
            "keywords": "IASI, SO2, volcanic emissions, satellite observation, thermal infrared spectra",
            "publicationState": "published",
            "dataPublishedTime": "2018-03-15T11:50:00",
            "doiPublishedTime": null,
            "updateFrequency": "notPlanned",
            "status": "completed",
            "result_field": {
                "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/25890/?format=api",
                "dataPath": "/neodc/iasi_so2_oxford/data/monthly_mean/v1.0",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 4535221367,
                "numberOfFiles": 92,
                "fileFormat": "Data are in NetCDF format"
            },
            "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/6990/?format=api",
            "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50542/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/50543/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/95593/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/95594/?format=api",
                "https://catalogue.ceda.ac.uk/api/v2/phenomona/95595/?format=api"
            ],
            "dataLineage": "These data were produced by the Earth Observation Data Group, Atmospheric, Oceanic and Planetary Physics, University of Oxford, as part of the NERC Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET). These data were then supplied to CEDA to be archived.",
            "removedDataTime": null,
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            "language": "English",
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                "https://catalogue.ceda.ac.uk/api/v2/identifiers/9521/?format=api"
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                "https://catalogue.ceda.ac.uk/api/v2/rpis/108236/?format=api",
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                "https://catalogue.ceda.ac.uk/api/v2/rpis/108237/?format=api"
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        {
            "ob_id": 25892,
            "uuid": "62cc25997f58459581879553f3a25e19",
            "title": "Sustaining Himalayan Water Resources in a Changing Climate (SusHi-Wat): Monthly maps of wet and dry snow over a Himalayan river basin (January 2015 to July 2017)",
            "abstract": "This dataset contains monthly maps of dry and wet snow for a Himalayan river basin in northern India. The data were collected as part of the Sustaining Himalayan Water Resources in a Changing Climate (SusHi-Wat) project aimed at improving our understanding on how water is stored in, and moves through, a Himalayan river system in northern India. \r\n\r\nThe maps were obtained by combining satellite remote sensing images from Sentinel-1 and the Moderate Resolution Imaging Spectroradiometer (MODIS). The resolution of the maps is 500m and the coordinate system is EPSG:4326. The dry snow data correspond to the MODIS land cover product (MCD12Q1). The wet snow data were obtained from Sentinel-1 by applying a -2dB threshold on the backscatter ratio between a Sentinel-1 image with wet snow and a reference Sentinel-1 image with only dry snow. \r\n\r\nThe possible pixel values are: \r\n0: no snow, \r\n1-100: wet snow cover fraction, \r\n101-200: dry snow cover fraction with an offset of 100, \r\n240: missing Sentinel-1 data, \r\n250: pixel wrongly identified as wet snow by Sentinel-1 (false positives), \r\n255: fill value. \r\n\r\nThe images are GeoTIFF formatted.",
            "keywords": "Himalayan, wet, dry, snow, hydrology, Sentinel-1, MODIS, sushi-wat",
            "publicationState": "citable",
            "dataPublishedTime": "2018-03-16T15:35:39",
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                "storageLocation": "internal",
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                "volume": 30447071,
                "numberOfFiles": 31,
                "fileFormat": "The images are GeoTIFF formatted."
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            "dataLineage": "Data was prepared and sent to Centre for Environmental Data Analysis (CEDA) for archiving by the project team.",
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            "title": "The impact of stratospheric ozone feedbacks on climate sensitivity estimates",
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            "title": "Sentinel 5P: TROPOspheric Monitoring Instrument (TROPOMI) Radiance level 1b data.",
            "abstract": "This dataset contains level 1b earth radiance spectra data from the TROPOspheric Monitoring Instrument (TROPOMI) aboard the European Space Agency (ESA) Sentinel 5P satellite. Sentinel 5P was launched on 13th October 2017. Level 1b data is geo-located and radiometrically corrected top of the atmosphere Earth radiances in all spectral bands. There is one L1b radiance product type for each spectral band (product identifiers L1B_RA_BD1 through L1B_RA_BD8). The radiance products are the main input for the Level-2 processors.\r\n\r\nSentinel 5P aims to provide atmospheric measurements relating to air quality, climate forcing, ozone and ultraviolet radiation. This data looks to build on the data from GOME, SCIAMACHY and OMI missions. Data are provided by the European Space Agency (ESA) and are made available via CEDA to any registered user.",
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            "title": "Identification and classification of Cirrus (IC-CIR): A cirrus classification based on satellite and reanalysis data (2003-2013)",
            "abstract": "Cirrus clouds play an important role in determining the radiation budget of the earth, but many of their properties remain uncertain, particularly their response to aerosol variations and to warming. Part of the reason for this uncertainty is the dependence of cirrus cloud properties on the cloud formation mechanism, which itself is strongly dependent on the local meteorological conditions. This classification system is designed to identify cirrus clouds by the cloud formation mechanism. Using re-analysis and satellite data, cirrus clouds are separated in four main types: orographic, frontal, convective and synoptic.  Comparisons with convection-permitting model simulations and back-trajectory based analysis have shown that this classification can provide useful information on the cloud scale updraughts and the frequency of occurrence of liquid-origin ice, with the convective regime having higher updraughts and a greater occurrence of liquid-origin ice compared to the synoptic regimes (see description paper).\r\nThis classification is designed to be easily implemented in global climate models - the observational classification results are made available make this comparison easier. The classification has been generated globally for the years 2003-2013 inclusive.  Making use of the moderate\r\nresolution imaging spectrometer (MODIS) on-board the Aqua satellite, the classification exists only at 13:30 local solar time each day.\r\n\r\nThe regimes used within this classification are defined as follows (further details are given in the description paper)\r\nOrographic - proximity to regions of large-scale topography variation\r\nFrontal - satellite detected cirrus clouds that intersect to atmospheric fronts determined from reanalysis data\r\nConvective - satellite detected cirrus clouds in regions of large scale ascent determined from reanalysis data\r\nSynoptic - Not assigned as one of the other regimes. \r\n\r\nData are gridded NetCDF V4 files, provided on a regular longitude-latitude grid at a 1 by 1 degree resolution across the whole globe. The files provide the classification at 13:30 local solar time (the satellite overpass time) and are at a daily resolution, within a folder defining the year.  The filename structure is: {year}/IC-CIR.{year}.{day_of_year}.v1.nc where {year} is the year of the data and {doy of year} starts with 001 on the first of January.\r\nFurther details about the data, including comparisons to convection-resolving model simulations can be found in the description paper (Gryspeerdt et al., ACP, 2018).\r\n",
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            "dataLineage": "This classification is derived using data from the moderate resolution imaging spectrometer (MODIS) on-board the Aqua satellite and from the ERA-Interim Reanalysis, created by ECMWF.  The MODIS data used is collection 6 of the 1 by 1 degree gridded daily product (MYD08_D3), originating from the NASA Goddard Space Flight Center.",
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                "https://catalogue.ceda.ac.uk/api/v2/rpis/108321/?format=api"
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        {
            "ob_id": 25916,
            "uuid": "e493802d83c846c8b76f817866fb74cc",
            "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged CO2 from SCIAMACHY generated with the WFMD algorithm (CO2_SCI_WFMD), v4.0",
            "abstract": "The CO2_SCI_WFMD dataset comprises level 2, column-averaged dry-air mole fractions (mixing ratios) of carbon dioxide (XCO2) from the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) on board the European Space Agency's environmental research satellite ENVISAT.   It has been produced using the Weighting Function Modified DOAS (WFM-DOAS) algorithm, by the ESA Greenhouse Gases Climate Change Initiative (GHG_cci) project.\r\n\r\nThe WFM-DOAS algorithm is a least-squares method based on scaling pre-selected atmospheric vertical profiles.  Note that this has been designated as an 'alternative' algorithm for the GHG_cci and another XCO2 product has also been generated from the SCIAMACHY data using the baseline algorithm (the Bremen Optimal Estimation DOAS (BESD) algorithm).  It is advised that users who aren't sure whether to use the baseline or alternative product use the product generated with the BESD baseline algorithm. For more information regarding the differences between baseline and alternative algorithms please see the GHG-CCI data products webpage. \r\n\r\nThe data product is stored per day in seperate NetCDF-files (NetCDF-4 classic model). The product files contain the key products, i.e. the retrieved column-averaged dry air mole fractions for XCO2, several other useful parameters and additional information relevant to using the data e.g. the averaging kernels. For further information on the product, including details of the WFMD algorithm, the SCIAMACHY instrument and issues associated with the data please see the associated product user guide (PUG) or the Algorithm Theoretical Basis Documents in the documentation section.",
            "keywords": "ESA, GHG, CCI, CO2, WFMD",
            "publicationState": "published",
            "dataPublishedTime": "2018-03-19T20:57:44",
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                "storageLocation": "internal",
                "storageStatus": "online",
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            "abstract": "This CH4_GOS_OCPR dataset is comprised of level 2, column-averaged dry-air mole fractions (mixing ratios) of methane (XCH4.)  The product has been produced using data acquired from the Thermal and Near Infrared Sensor for Carbon Observations (TANSO-FTS) NIR and SWIR spectra, onboard the Japanese Greenhouse gases Observing Satellite (GOSAT), using the OCPR University of Leicester Proxy Retrieval Algorithm. It has been generated as part of the European Space Agency (ESA) Greenhouse Gases Climate Change Initiative (GHG_cci).  This version of the data is v7.0 and forms part of the Climate Research Data Package 4.\r\n\r\nThis algorithm has been designated the baseline algorithm for the GHG CCI proxy methane retrievals.  A second product has also been generated from the TANSO-FTS data using an alternative algorithm, the RemoTeC Proxy algorithm. It is advised that users who aren't sure whether to use the baseline or alternative product use this product generated with the OCPR baseline algorithm. For more information regarding the differences between baseline and alternative algorithms please see the GHG-CCI data products webpage.\r\n\r\nThe product is stored in NetCDF format with all GOSAT soundings on a single day stored in one file. For further details on the product, including the UoL-PR algorithm and the TANSO-FTS instrument, please see the associated product user guide (PUG) or the Algorithm Theoretical Basis Documents.",
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