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=700
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "count": 10253,
    "next": "https://api.catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=800",
    "previous": "https://api.catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=600",
    "results": [
        {
            "ob_id": 6314,
            "uuid": "a3a263cf63b2bd893b30df9e9a2f1571",
            "title": "ECMWF ERA-Interim: reduced N256 Gaussian gridded model level forecast parameter data (ggfm)",
            "abstract": "Model level forecast parameters on a reduced N256 Gaussian grid from the European Centre for Medium-Range Weather Forecasts (ECWMF) ERA-Interim programme. \r\n\r\nThe ERA-Interim global atmospheric reanalysis of the covers 1979 to August 2019. This follows on from the ERA-15 and ERA-40 re-analysis projects.\r\n\r\nThis subset of the ERA-Interim dataset contains 3 parameters on 60 model levels covering natural log of surface pressure (single level parameter), specific humidity and temperature.",
            "keywords": "ECMWF, ERA, ERA, Interim, reanalysis, surface, model, Gaussian, N256, forecast",
            "publicationState": "published",
            "dataPublishedTime": "2014-08-26T15:14:26",
            "doiPublishedTime": null,
            "updateFrequency": "notPlanned",
            "status": "completed",
            "result_field": {
                "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/6315/?format=api",
                "dataPath": "/badc/ecmwf-era-interim/data/gg/fm",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 5704052905531,
                "numberOfFiles": 118074,
                "fileFormat": "Data are GRIB formatted."
            },
            "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/1835/?format=api",
            "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25221/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25972/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25973/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25974/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25975/?format=api"
            ],
            "dataLineage": "Data are generated by the ERA-Interim project at European Centre for Medium-Range Weather Forecasts (ECMWF) before being prepared by ECMWF and uploaded to Centre for Environmental Data Analysis (CEDA) for ingestion into the archive.",
            "removedDataTime": null,
            "removedDataReason": "",
            "language": "English",
            "identifier_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/4122/?format=api"
            ],
            "projects": [
                "https://api.catalogue.ceda.ac.uk/api/v2/projects/6305/?format=api"
            ],
            "observationcollection_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/6302/?format=api"
            ],
            "responsiblepartyinfo_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/26706/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/26705/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/26703/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/26704/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/26701/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/26700/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/26699/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/26702/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109206/?format=api"
            ],
            "procedureAcquisition": null,
            "procedureCompositeProcess": null,
            "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/6306/?format=api",
            "permissions": [
                {
                    "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2536/?format=api",
                    "useLimitation": null,
                    "accessConstraints": null,
                    "accessCategory": "registered",
                    "accessRoles": null,
                    "label": "registered: None group",
                    "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ecmwf-era-products.pdf",
                    "licenceClassifications": "any"
                }
            ],
            "discoveryKeywords": [
                {
                    "ob_id": 1138,
                    "name": "NDGO0003"
                }
            ]
        },
        {
            "ob_id": 6316,
            "uuid": "3075228bcb09e90bf3717f9eeb0fed5b",
            "title": "ECMWF ERA-Interim: reduced N256 Gaussian gridded surface level analysis time parameter data (ggas)",
            "abstract": "Surface level analysis time parameters on a reduced N256 Gaussian grid from the European Centre for Medium-Range Weather Forecasts (ECWMF) ERA-Interim programme.\r\n\r\nThe ERA-Interim global atmospheric reanalysis of the covers 1979 to August 2019. This follows on from the ERA-15 and ERA-40 re-analysis projects\r\n\r\nThis subset of the ERA-Interim dataset contains 37 parameters.",
            "keywords": "ECMWF, ERA, ERA, Interim, reanalysis, model, surface level",
            "publicationState": "published",
            "dataPublishedTime": "2014-08-26T15:11:58",
            "doiPublishedTime": null,
            "updateFrequency": "notPlanned",
            "status": "completed",
            "result_field": {
                "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/6317/?format=api",
                "dataPath": "/badc/ecmwf-era-interim/data/gg/as/",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 1153714644080,
                "numberOfFiles": 80820,
                "fileFormat": "Data are netCDF formatted."
            },
            "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/1836/?format=api",
            "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50542/?format=api",
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                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51580/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56631/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56632/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56634/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56635/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56636/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56639/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56640/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56642/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56644/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56645/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56646/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56647/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56648/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56649/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56651/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56652/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56653/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56654/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56655/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56657/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56658/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56659/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56660/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56661/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56662/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56665/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56666/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56667/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56668/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56670/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56671/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56672/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56673/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56674/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56675/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56676/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56677/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56679/?format=api"
            ],
            "dataLineage": "Data are generated by the ERA-Interim project at European Centre for Medium-Range Weather Forecasts (ECMWF) before being prepared by ECMWF and uploaded to Centre for Environmental Data Analysis (CEDA) for ingestion into the archive.",
            "removedDataTime": null,
            "removedDataReason": "",
            "language": "English",
            "identifier_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/4125/?format=api"
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            "projects": [
                "https://api.catalogue.ceda.ac.uk/api/v2/projects/6305/?format=api"
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            "observationcollection_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/6302/?format=api"
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            "responsiblepartyinfo_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/26709/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/26707/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/26708/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/26710/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/26711/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/26712/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/26714/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/26713/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/109203/?format=api"
            ],
            "procedureAcquisition": null,
            "procedureCompositeProcess": null,
            "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/6306/?format=api",
            "permissions": [
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                    "useLimitation": null,
                    "accessConstraints": null,
                    "accessCategory": "registered",
                    "accessRoles": null,
                    "label": "registered: None group",
                    "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ecmwf-era-products.pdf",
                    "licenceClassifications": "any"
                }
            ],
            "discoveryKeywords": [
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                    "ob_id": 1138,
                    "name": "NDGO0003"
                }
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        },
        {
            "ob_id": 6318,
            "uuid": "5577bf20736c904722f429fe3dc5885a",
            "title": "ECMWF ERA-Interim: reduced N256 Gaussian gridded potential vorticity level analysis time parameter data (ggav)",
            "abstract": "Potential vorticity level analysis time parameters on a reduced N256 Gaussian grid from the European Centre for Medium-Range Weather Forecasts (ECWMF) ERA-Interim programme.\r\n\r\nThe ERA-Interim global atmospheric reanalysis of the covers 1979 to August 2019. This follows on from the ERA-15 and ERA-40 re-analysis projects\r\n\r\nThis subset of the ERA-Interim dataset contains 7 parameters on the 2PV level.",
            "keywords": "ECMWF, ERA, ERA, Interim, reanalysis, surface, model, Gaussian, N256, analysis, potential vorticity level",
            "publicationState": "published",
            "dataPublishedTime": "2014-08-26T15:13:04",
            "doiPublishedTime": null,
            "updateFrequency": "notPlanned",
            "status": "completed",
            "result_field": {
                "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/6319/?format=api",
                "dataPath": "/badc/ecmwf-era-interim/data/gg/av",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 218453815931,
                "numberOfFiles": 80847,
                "fileFormat": "Data are netCDF formatted."
            },
            "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/1837/?format=api",
            "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [
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                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51580/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56611/?format=api",
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            "procedureCompositeProcess": null,
            "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/6306/?format=api",
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                    "label": "registered: None group",
                    "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ecmwf-era-products.pdf",
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        {
            "ob_id": 6320,
            "uuid": "9b040bf4f8f168f21a11e725160bf34e",
            "title": "ECMWF ERA-Interim: reduced N256 Gaussian gridded surface level forecast min-max parameter data (gmfs)",
            "abstract": "Surface level forecast min-max parameters on a reduced N256 Gaussian grid from the European Centre for Medium-Range Weather Forecasts (ECWMF) ERA-Interim programme.\r\n\r\nThe ERA-Interim global atmospheric reanalysis of the covers 1979 to August 2019. This follows on from the ERA-15 and ERA-40 re-analysis projects\r\n\r\nThis subset of the ERA-Interim dataset contains 3 parameters.",
            "keywords": "ECMWF, ERA, ERA, Interim, reanalysis, surface, model, minimum, maximum, forecast",
            "publicationState": "published",
            "dataPublishedTime": "2014-08-26T15:16:55",
            "doiPublishedTime": null,
            "updateFrequency": "notPlanned",
            "status": "completed",
            "result_field": {
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                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 187527882707,
                "numberOfFiles": 143411,
                "fileFormat": "Data are netCDF formatted."
            },
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                    "label": "registered: None group",
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        {
            "ob_id": 6322,
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            "abstract": "The Atmospheric Chemistry Studies in the Oceanic Environment (ACSOE) was a 5-year Natural Environment Research Council (NERC) programme on tropospheric chemistry coordinated by the University of East Anglia and involving research groups from a number of UK universities and research institutes. The project had three consortia of UK institutes and universities, each of which focused on a different scientific topic. OXICOA (OXIdising Capacity of the Ocean Atmosphere) was a study of oxidant, radical and related gas-phase chemistry in the clean and moderately polluted marine atmosphere. The Testing Atmospheric Chemistry in Anticyclone (TACIA) project as part of the ACSOE-OXICOA program was carried to collect data. The dataset was collected by the C-130 research aircraft; a former transport aircraft operated by the Meteorological Research Flight (MRF), and includes in situ trace gas photochemistry measurements.",
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            "abstract": "The Atmospheric Chemistry Studies in the Oceanic Environment (ACSOE) was a 5-year Natural Environment Research Council (NERC) programme on tropospheric chemistry coordinated by the University of East Anglia and involving research groups from a number of UK universities and research institutes.\r\n\r\nThe Meteorological Research Flight (MRF) was a Met Office facility, which flew a well-instrumented C-130 Hercules aircraft for atmospheric research purposes.\r\n\r\nThis dataset contains airborne atmospheric and chemistry measurements taken on board the Met Office C-130 Hercules aircraft flight A475 for the ACSOE project.",
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            "title": "APPRAISE CLOUDS: aerosols concentration measurements from the University of Manchester Scanning Mobility Particle Sizer deployed at the Chilbolton Observatory, Hampshire",
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            "title": "Data from Cambridge Chemical data assimilation model at Cambridge University computer for the Assimilation of Remote-sensed Data for Applications in the Atmospheric and Oceanographic Sciences (ARDAAOS) NERC Research Programme Project",
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            "title": "Along Track Scanning Radiometer (ATSR-1) data from the European Remote Sensing satellite (ERS-1)",
            "abstract": "An infra-red radiometer capable of measuring sea surface temperature to better than 0.3K. The cd-rom dataset consists of two data products: (a) Spatially averaged sea surface temperatures (ASSTs) and (b) Time averaged global maps. The ASSTs are provided daily in half-degree cells together with temporal and positional information. The data cover the period August 1991 to July 1995. ",
            "keywords": "OCEANTEMPERATURE OCEANS",
            "publicationState": "published",
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            "doiPublishedTime": null,
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                "volume": 1132668737,
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            },
            "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/1934/?format=api",
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            ],
            "dataLineage": "The data were collected by the first Along-Track Scanning Radiometer (ATSR-1) launched on the ESA (European Space Agency) remote sensing satellite (ERS-1) in July 1991. CD-ROM obtained from the ATSR group at the Rutherford Appleton Laboratory and stored at the BADC.",
            "removedDataTime": null,
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                "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/4303/?format=api"
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            "ob_id": 6594,
            "uuid": "0d401c19272d3f57ef1367dc64679310",
            "title": "Limb Infra-red Monitor of the Stratosphere (LIMS) Instrument: Methane and Nitrogen Dioxide measurements",
            "abstract": "Infrared radiances from the Limb Infrared Monitor of the Stratosphere (LIMS) instrument, mounted on the Nimbus-7 satellite, were stored on a Radiance Archive Tape (RAT). RAT data was used to derive a series of products, two of which are held here. Firstly, the LIMS Inverted Profile Archival Tape (LAIPAT). This dataset contains mixing ratios of methane and nitrogen dioxide. ",
            "keywords": "LIMS, Methane, Nitrogen Dioxide",
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            "dataPublishedTime": "2007-01-13T23:38:22",
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                "volume": 12940739,
                "numberOfFiles": 101,
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            "ob_id": 6600,
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            "title": "DIAMET: Vertical wind profile measurements from the FGAM 1290 MHz mobile wind profiler at Capel Dewi, UK",
            "abstract": "The DIAMET project aimed to better the understanding and prediction of mesoscale structures in synoptic-scale storms. Such structures include fronts, rain bands, secondary cyclones, sting jets etc, and are important because much of the extreme weather we experience (e.g. strong winds, heavy rain) comes from such regions. Weather forecasting models are able to capture some of this activity correctly, but there is much still to learn. By a combination of measurements and modelling, mainly using the Met Office Unified Model (UM), the project worked to better understand how mesoscale processes in cyclones give rise to severe weather and how they can be better represented in models and better forecast.\r\n\r\nThis dataset contains wind profile measurements which were taken by the Facility for Ground-based Atmospheric Measurements' (FGAM) 1290 MHz Degreane Mobile Wind Profiler, operated by the University of Manchester,as part of the DIAMET (Diabatic influences on mesoscale structures in extratropical storms) project from 9th August 2011 to 17th February 2012. During this period the instrument was deployed at the Natural Environment Research Council (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar Facility, Capel Dewi, UK. These data are available in netCDF and include wind speed, wind direction, signal to noise ratio and spectral width.",
            "keywords": "DIAMET, FGAM, NCAS, AMF, radar, wind profiler, boundary layer wind profiler, turbulence, thermals, boundary layer structure, radar wind profiler, Doppler radar, UHF radar, 'Clear' air radar, morning transition, convective boundary layer, mixed layer, entrainment zone, transitional boundary layer, nocturnal boundary layer, lower level jet, nocturnal jet, weather fronts, sting jets, MST",
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                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/22318/?format=api"
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            "dataLineage": "Data were collected by Emily Norton directly from the mobile wind profiler before checking and processing using the Degreane Horizon software supplied with the mobile wind profiler. The data were then prepared for archiving by Emily Norton using IDL scripts prepared for the task. The data were then delivered to the BADC for archiving.",
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        {
            "ob_id": 6605,
            "uuid": "a165238d408bb1c4df4aad7a704719d6",
            "title": "UTLS Egrett: Atmospheric airborne chemical measurements from Egrett aircraft flights over Aberystwyth, Mid-Wales",
            "abstract": "The Aberystwyth Egrett Experiment: Gravity Waves, Turbulence, Mixing and Filamentation in the Tropopause Region is a Upper Troposphere Lower Stratosphere (UTLS) Round 2 project led by Dr J. Whiteway and Dr G. Vaughan, Department of Physics, University of Wales, Aberystwyth.\r\n\r\nThis dataset contains airborne measurements, by the Egrett aircraft, of turbulence, ozone, water vapour and CH4.",
            "keywords": "UTLS, Egrett, chemistry",
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            "dataPublishedTime": "2007-03-13T15:20:25",
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            "dataLineage": "Data collected by the Egrett aircraft on behalf of the University of Aberystwyth respectively. Data files were then provided as is in 2002 to the BADC, where they are stored.",
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        {
            "ob_id": 6612,
            "uuid": "3e10648b7a59df1005c958461957eec6",
            "title": "UTLS-Ozone: Ozonesonde and ozone DIAL lidar measurements from Aberystwyth, Mid-Wales",
            "abstract": "UTLS-OZONE was a NERC directed mode programme funding projects to study the upper troposphere and lower stratosphere. The particular emphasis was on the processes determining the distribution of ozone and any subsequent climate impacts. Two UTLS Ozone projects were based on airborne campaigns using the FAAM aircraft, namely ITOP-UK and CIRRUS.\r\n\r\nThis dataset contains ozonesonde and LIDAR ozone profiles measured by the Aberystwyth group in support of the UTLS-OZONE projects:\r\n* Dynamics and Chemistry of Frontal Zones (DCFZ) (PI: Keith Browning, Department of Meteorology, University of Reading)\r\n* Atmospheric Chemistry and Transport of Ozone (ACTO) (PI: Stuart Penkett, School of the Environment, University of East Anglia)\r\n* the Egrett experiment (PI: Jim Whiteway, University of Wales at Aberystwyth)\r\n* \"Night-Time Chemistry in the UTLS Region\" (PI: Hugh Coe, University of Manchester) and of the EU project TRACAS.\r\n",
            "keywords": "UTLS, Ozone, Chemistry",
            "publicationState": "published",
            "dataPublishedTime": "2007-03-13T15:26:36",
            "doiPublishedTime": null,
            "updateFrequency": "notPlanned",
            "status": "completed",
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                "storageStatus": "online",
                "volume": 3561095,
                "numberOfFiles": 121,
                "fileFormat": "Data are NASA Ames formatted"
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            "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/1941/?format=api",
            "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/154/?format=api",
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            "phenomena": [
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            "dataLineage": "Data collected by the Egrett aircraft, the NERC MST Radar on behalf of the University of Aberystwyth and the University of Manchester, respectively. Data files were then provided as is in 2002 to the BADC, where they are stored.",
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            "language": "English",
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            "title": "Cascade: Africa-12km zfdya model run data",
            "abstract": "Cascade was a NERC funded consortium project to study organized convection and scale interactions in the tropical atmosphere using large domain cloud system resolving model simulations. This dataset contains data from the zfdya simulation which ran using the Met Office Unified Model (UM) at 12km horizontal resolution over the domain 20W-20E, 5S-28N which encompasses the west african monsoon.  Cascade Africa simulations are used to study African Easterly Waves.\r\n\r\nThis dataset contains 12km Africa model measurements from zfdya runs. ",
            "keywords": "Cascade, atmosphere, UM, Unified Model",
            "publicationState": "published",
            "dataPublishedTime": "2014-09-22T06:26:51",
            "doiPublishedTime": null,
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                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 295537941713,
                "numberOfFiles": 911,
                "fileFormat": "Data are netCDF formatted"
            },
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                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/9142/?format=api",
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                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/9144/?format=api",
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                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/9150/?format=api"
            ],
            "dataLineage": "Data were generated using the Met Office Unified Model (UM) at 12km horizontal resolution over the domain 20W-20E, 5S-28N. Cascade data has been converted to CF-netCDF by the cascade team using one of two tools: UKMOIDL or xconv, then passed on to the BADC for archiving.",
            "removedDataTime": null,
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            "language": "English",
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                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/28680/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/28682/?format=api"
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        },
        {
            "ob_id": 6670,
            "uuid": "c9dd2107e0b7e8c7b6aca7c34980f679",
            "title": "CRU TS3.00: Climatic Research Unit (CRU) Time-Series (TS) Version 3.00 of High Resolution Gridded Data of Month-by-month Variation in Climate (Jan. 1901 - Dec.2006)",
            "abstract": "The gridded CRU TS (time-series) 3.00 data are month-by-month variations in climate over the period 1901-2006, on high-resolution (0.5x0.5 degree) grids, produced by the Climatic Research Unit (CRU) at the University of East Anglia. \r\n\r\nThe CRU TS 3.00 variables include cloud cover, diurnal temperature range, frost day frequency, precipitation, daily mean temperature, monthly average daily maximum/min temperature, vapour pressure and wet day frequency.\r\n\r\nThe BADC holds the preliminary CRU TS3.00 datasets for the period 1901-2006. Note that these data are yearly files REGARDLESS of whether the data exists for the full year. In CRU TS3.00, the data up to 06/2006 *ONLY* has been used.\r\n\r\nThe CRU TS 3.00 data are monthly gridded fields based on monthly observational data, which are calculated from daily or sub-daily data by National Meteorological Services and other external agents. The ASCII and netcdf data files both contain monthly mean values for the various parameters. \r\n\r\nAll CRU TS output files are actual values - NOT anomalies. \r\n\r\nCRU TS data are available for download to all CEDA users.",
            "keywords": "CRU TS, ATMOSPHERE, EARTHSCIENCE",
            "publicationState": "published",
            "dataPublishedTime": "2013-10-22T16:03:20",
            "doiPublishedTime": null,
            "updateFrequency": "notPlanned",
            "status": "completed",
            "result_field": {
                "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/6671/?format=api",
                "dataPath": "/badc/cru/data/cru_ts/cru_ts_3.00",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 2878738610,
                "numberOfFiles": 36,
                "fileFormat": "The CRU TS 3.00 data (i.e. climate variables) are available in both compressed (.gz extension) ASCII \".dat\" and netcdf \".nc\" file formats. CRU TS 3.00 metadata files (i.e. stations) are available in ASCII. To understand how to read the CRU TS 3.00 data and metadata files, please refer to the CRU_TS_3.00_File_Formats_explained PDF documentation (under Linked Documentation below).\r\n\r\n"
            },
            "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/1954/?format=api",
            "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/513/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [
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                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25979/?format=api"
            ],
            "dataLineage": "CRU TS 3.00 data files acquired directly from CRU in 2007. CRU provided the BADC with software to generate the CRU datasets in 2010, and this was used to produce CRU TS 3.10 at the BADC in early 2011.",
            "removedDataTime": null,
            "removedDataReason": "",
            "language": "English",
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                "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/4371/?format=api",
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        {
            "ob_id": 6674,
            "uuid": "ac3e6be017970639a9278e64d3fd5508",
            "title": "CRU TS3.10: Climatic Research Unit (CRU) Time-Series (TS) Version 3.10 of High Resolution Gridded Data of Month-by-month Variation in Climate (Jan. 1901 - Dec. 2009)",
            "abstract": "The gridded CRU TS (time-series) 3.10 data are month-by-month variations in climate over the period 1901-2009, on high-resolution (0.5x0.5 degree) grids, produced by the Climatic Research Unit (CRU) at the University of East Anglia. \r\n\r\nCRU TS 3.10 includes variables such as cloud cover, diurnal temperature range, PET, daily mean temperature, monthly average daily minimun/maximum temperature, and vapour pressure for the period 1901-2009. Note that a corrected run of precipitation data, based on the v3.10 precipitation station data are available (e.g cru_ts_3_10_01.1901.2009.pre.dat).\r\n\r\nCRU provided the BADC with software to generate the CRU datasets in 2010, and this was used to produce CRU TS 3.10 at the BADC in early 2011. CRU TS 3.10 data were produced using the same methodology as for the 3.00 dataset. The main differences is that the 3.10 dataset extends from 1901-2009, and all of the data in this period can now be used. Slight differences may be noticed between the results for a given time/location between the 3.00 and 3.10 versions, due to additional data now being available. CRU have examined the 3.10 dataset in detail and are confident that such differences are not significant.\r\n\r\nThe CRU TS 3.10 data are monthly gridded fields based on monthly observational data, which are calculated from daily or sub-daily data by National Meteorological Services and other external agents. The ASCII and netcdf data files both contain monthly mean values for the various parameters. \r\nAll CRU TS output files are actual values - NOT anomalies. \r\n\r\nCRU TS data are available for download to all CEDA users.",
            "keywords": "CRU TS, ATMOSPHERE, EARTHSCIENCE",
            "publicationState": "published",
            "dataPublishedTime": "2013-03-30T20:22:04",
            "doiPublishedTime": null,
            "updateFrequency": "notPlanned",
            "status": "completed",
            "result_field": {
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                "dataPath": "/badc/cru/data/cru_ts/cru_ts_3.10",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 3314311139,
                "numberOfFiles": 48,
                "fileFormat": "The CRU TS 3.10 data (i.e. climate variables) are available in both compressed (.gz extension) ASCII \".dat\" and netcdf \".nc\" file formats. \r\nTo understand how to read the CRU TS 3.10, please refer to the CRU_TS_3.10_File_Formats_explained PDF documentation (under Linked Documentation below).\r\n\r\n"
            },
            "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/1955/?format=api",
            "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/513/?format=api",
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            "abstract": "The gridded CRU TS (time-series) 3.20 data are month-by-month variations in climate over the period 1901-2011, on high-resolution (0.5x0.5 degree) grids, produced by the Climatic Research Unit (CRU) at the University of East Anglia. CRU TS 3.20 data were produced using the same methodology as for the 3.00 and 3.10 datasets. \r\n\r\nCRU TS 3.20 variables are cloud cover, diurnal temperature range, frost day frequency, PET, precipitation, daily mean temperature, monthly average daily maximum temperature, vapour pressure and wet day frequency for the period 1901-2011.\r\n\r\nThe CRU TS 3.20 data are monthly gridded fields based on monthly observational data, which are calculated from daily or sub-daily data by National Meteorological Services and other external agents. The ASCII and netcdf data files both contain monthly mean values for the various parameters. All CRU TS output files are actual values - NOT anomalies. \r\n\r\nCRU TS data are available for download to all CEDA users.",
            "keywords": "CRU TS, ATMOSPHERE,  EARTHSCIENCE",
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            "title": "CRU TS3.21: Climatic Research Unit (CRU) Time-Series (TS) Version 3.21 of High Resolution Gridded Data of Month-by-month Variation in Climate (Jan. 1901- Dec. 2012)",
            "abstract": "The gridded Climatic Research Unit (CRU) TS (time-series) 3.21 datasets are month-by-month variations in climate over the period 1901-2012, on high-resolution (0.5 x 0.5 degree) grids, produced by the Climatic Research Unit (CRU) at the University of East Anglia. \r\n\r\nCRU TS 3.21 variables are cloud cover, diurnal temperature range, frost day frequency, PET, precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, vapour pressure and wet day frequency for the period Jan. 1901 - Dec. 2012. \r\n\r\nCRU TS 3.21 data were produced using the same methodology as for the 3.20  datasets.\r\nIn addition to updating the dataset with 2012 data, the v3.21 release corrects two errors in the v3.20 dataset. Please see the release notes in the docs section, which contain details of the errors.\r\n\r\nThis directory also contains an advisory note regarding an issue with 35 Mozambique stations that were new. After an investigation by the CRU,  the comparison plots show that the only countries affected in a possibly significant way are Egypt and Eritrea. The details of these can be found in this directory.\r\n\r\nThe CRU TS 3.21 data are monthly gridded fields based on monthly observational data, which are calculated from daily or sub-daily data by National Meteorological Services and other external agents. The ASCII and netcdf data files both contain monthly mean values for the various parameters.\r\n\r\nAll CRU TS output files are actual values - NOT anomalies.\r\n\r\nCRU TS data are available for download to all CEDA users.",
            "keywords": "CRU TS, ATMOSPHERE, EARTHSCIENCE",
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            "title": "CRU TS3.22: Climatic Research Unit (CRU) Time-Series (TS) Version 3.22 of High Resolution Gridded Data of Month-by-month Variation in Climate (Jan. 1901- Dec. 2013)",
            "abstract": "The gridded CRU TS (time-series) 3.22 data are month-by-month variations in climate over the period 1901-2013, on high-resolution (0.5x0.5 degree) grids, produced by the Climatic Research Unit (CRU) at the University of East Anglia.\r\n\r\nCRU TS 3.22 variables are cloud cover, diurnal temperature range, frost day frequency, PET, precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, vapour pressure and wet day frequency for the period Jan. 1901 - Dec. 2013.\r\n\r\nCRU TS 3.22 data were produced using the same methodology as for the 3.21 datasets. In addition to updating the dataset with 2013 data, the v3.22 release corrects an error in the v3.21 dataset. This is summarised in the document, CRU_Advisory_v3.2x_NE_Africa.txt, and affects PRE and WET variables only. There are several known issues with the current dataset which cannot be resolved in the timeframe of this release; they will be addressed in the future. This directory also contains an advisory note regarding an issue with 35 Mozambique stations that were new. After an investigation by the CRU, the comparison plots show that the only countries affected in a possibly significant way are Egypt and Eritrea. The details of these can be found in this directory.\r\n\r\nThe CRU TS 3.22 data are monthly gridded fields based on monthly observational data, which are calculated from daily or sub-daily data by National Meteorological Services and other external agents. The ASCII and netcdf data files both contain monthly mean values for the various parameters.\r\n\r\nAll CRU TS output files are actual values - NOT anomalies.\r\n\r\nCRU TS data are available for download to all CEDA users. The CEDA Web Processing Service (WPS) may be used to extract a subset of the data (please see link to WPS below).",
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            "dataLineage": "CRU TS 3.00 data files acquired directly from CRU in 2007. CRU provided the BADC with software to generate the CRU datasets in 2010, and this was used to produce CRU TS 3.10 at the BADC in early 2011.\r\n\r\nIn July 2012, systematic errors were discovered in the CRUTS v3.10 process. The effect was, in some cases, to reduce the gridded values for PRE and therefore WET. Values of FRS were found to be unrealistic in some areas due to the algorithms used for synthetic generation. The files (pre, frs and wet) were immediately removed from BADC. The corrected run for precipitation, based on the v3.10 precipitation station data, was generated as a direct replacement and given the version number 3.10.01. There were no corrected runs produced for wet and frs.\r\n\r\nCRU TS 3.20 was produced in December 2012.\r\nIn March 2013, CRU TS observation databases for TMP and PRE variables were provided by CRU. Others are in preparation. In july 2013, two errors were found in the PRE and WET variables of CRU TS v3.20. These have been repaired in CRU TS v3.21. Details of the errors found are available in the Release Notes in the archive.\r\n\r\nCRU TS 3.21 was produced in July 2013. \r\n\r\nIn July 2014, CRU TS 3.22 provided by CRU, is the latest version available, superseding all previous data versions (which are available to allow user comparisons).",
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            "ob_id": 6684,
            "uuid": "79a78643974498da956b88ccd4e592c9",
            "title": "Acid Deposition Processes Project: Vertical wind profile data from the Facility for Ground-based Atmospheric Measurements' (FGAM) 1290 MHz Degreane Mobile Wind Profiler located at the Centre for Ecology and Hydrology's Auchencorft Moss field site, Edinburgh",
            "abstract": "Vertical profiles of horizontal and vertical wind components as well as signal-to-noise (SNR) and spectal width measurements were collected at the Centre for Ecology and Hydrology's (CEH) Auchencorft Moss field site in January and February 2007 as part of the DEFRA funded Acid Deposition Processes Project. These data were collected by the University of Manchester Degreane Mobile Wind Profiler Radar - formerly knonw as the aber-radar-1290mhz - at 15 minute intervals and are available as netCDF files to all registered BADC users.\r\n\r\nThe dataset contains the following measurements:\r\n\r\nEastward wind velocity component\r\nNorthward wind velocity component\r\nUpward air velocity\r\nDirection the wind is from\r\nSignal to noise ratio\r\nAltitude of instrument above the ground\r\nLongitude of instrument\r\nLatitude of instrument\r\nSpectral width",
            "keywords": "FGAM, NCAS, AMF, radar, wind profiler, boundary layer wind profiler, turbulence, thermals, boundary layer structure, radar wind profiler, Doppler radar, UHF radar, 'Clear' air radar, morning transition, convective boundary layer, mixed layer, entrainment zone, transitional boundary layer, nocturnal boundary layer, lower level jet, nocturnal jet, weather fronts, sting jets",
            "publicationState": "published",
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                "volume": 4254204,
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            "dataLineage": "Data were collected by Emily Norton directly from the mobile wind profiler before checking and processing using the Degreane Horizon software supplied with the mobile wind profiler. The data were then prepared for archiving by Emily Norton using IDL scripts prepared for the task. The data were then delivered to the BADC for archiving.",
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            "title": "Upper Atmosphere Research Satellite (UARS) Microwave Limb Sounder (MLS) Level 3 data (1991-1997) - Version 4",
            "abstract": "The Microwave Limb Sounder (MLS) is an instrument on board the  Upper Atmosphere Research Satellite (UARS) which measured global ClO, O3, H2O, temperature and SO2. Data are version 4 and public (gridded in time or latitude along the satellite track) between 80S - 80N, approximately 10-60 km in the vertical, from October 1991 to June 1997.\r\n\r\nThis directory tree now contains Version 4 MLS data files, in subdirectories for constituent and year, for FTP to remote machines. The data is held in IEEE binary files as supplied by the Goddard DAAC. Remember to switch to BINARY mode when transferring these files by FTP. New software to read the data files is also available.",
            "keywords": "MLS, UARS, atmospheric chemistry, profiles",
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            "dataLineage": "Data files acquired as is directly from NASA (mirror transfer).",
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            "ob_id": 6695,
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            "title": "RAPID: Self-calibrating Palmer Drought Severity Index (scPDSI) data from Europe and America",
            "abstract": "\"The Quantitative applications of high-resolution late Holocene proxy data sets: estimating climate sensitivity and thermohaline circulation influences\" project, part of the Natural Environment Research Council (NERC) RAPID Climate Change Research Programme, was led by Prof Keith Briffa of the University of East Anglia and co-investigators at the University of East Anglia (Round 1 - NER/T/S/2002/00440 - Duration 1 Jul 2003 - 30 Jun 2008).\r\n\r\nThis dataset contains self-calibrating Palmer Drought Severity Index data.",
            "keywords": "RAPID, Climate change,  Drought",
            "publicationState": "published",
            "dataPublishedTime": "2014-09-21T14:54:30",
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                "numberOfFiles": 5,
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            "dataLineage": "Data provided by Tim Osborn at UEA.",
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            "uuid": "bd6fd7e3bcbd6a410b8b75a6514466c4",
            "title": "UTLS-Ozone: Balloon-borne ozonesonde and snow-white hygrometer measurements at Aberystwyth, UK",
            "abstract": "Ozone and water vapour in the tropopause region was an Upper Troposphere Lower Stratosphere (UTLS) Round 3 project led by Dr G. Vaughan, Dr J.A. Whiteway, Physics Department University of Wales, Aberystwyth and Dr R.L. Jones, Department of Chemistry, University of Cambridge. \r\n\r\nThis dataset contains Balloon-borne simultaneous measurements of ozone and water vapour in the tropopause region. The flights were targeted as far as possible at different air masses in the lower stratosphere over Aberystwyth, with a particular emphasis on north-westerly jet streams.",
            "keywords": "UTLS, chemistry, ozone, water vapour",
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            "title": "Aerosol and Chemical Transport in Tropical Convection (ACTIVE) Project: Ozonesondes measurements at Darwin, Australia",
            "abstract": "The ACTIVE (Aerosol and chemical transport in tropical convection) Natural Environment Research Council (NERC) funded consortium project, combined field measurements and a range of modelling tools at different scales to address questions related to the composition of the tropical tropopause layer (TTL). ACTIVE utilised the Australian Egrett aircraft operated by Airborne Research Australia (ARA) and the NERC Dornier 228 operated by the British Airborne Research and Survey Facility (ARSF) to measure chemical species and aerosol in the inflow and outflow of tropical storms. Cloud-scale and large-scale modelling studies assisted in the interpretation of the measurements to distinguish the different contributions to the TTL composition. The dataset contains ozonesondes measurements at Darwin, Australia. ",
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