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=5700
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "count": 10256,
    "next": "https://api.catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=5800",
    "previous": "https://api.catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=5600",
    "results": [
        {
            "ob_id": 27559,
            "uuid": "4370dacd17544eb781aa1e51cc4dc633",
            "title": "Deriving Emissions related to Climate Change Network: CO2, CH4, N2O, and SF6 measurements from Ridge Hill Tall Tower, Herefordshire",
            "abstract": "High frequency measurements of carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O) and sulfur hexafluoride (SF6) have been taken at Ridge Hill tall tower as part of the UK DECC (Deriving Emissions linked to Climate Change) Network. \r\n\r\nRidge Hill (RGL) is a rural UK site located 13 km south-east of Hereford (population ~55,000), and 30 km south-west of Worcester (population ~94,000), in Herefordshire, UK.  Measurements of SF6 and N2O have been taken using gas chromatography with an electron capture detector (GC-ECD), sampling from a height of 90 m above ground level. Measurements are also taken from inlet heights of 45 m and 90 m above ground level using laser-based techniques for CO2 and CH4. Due to the location of the site, far from strong sources of local pollution, measurements from this site are used to calculate emission maps of trace gas species in the UK in combination with other measurement stations in the UK (Bilsdale, Tacolneston and Heathfield) and Ireland (Mace Head).\r\n\r\nThis work was funded by  Business Energy and Industrial Strategy (BEIS) contracts TRN1028/06/2015 and TRN1537/06/2018  to the University of Bristol.",
            "keywords": "UK-DECC, Ridge Hill, trace gases",
            "publicationState": "published",
            "dataPublishedTime": "2019-09-04T10:07:04",
            "doiPublishedTime": null,
            "updateFrequency": "",
            "status": "ongoing",
            "result_field": {
                "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27562/?format=api",
                "dataPath": "/badc/uk-decc-network/data/previous_versions/Ridge_Hill/",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 526200486,
                "numberOfFiles": 19,
                "fileFormat": "NetCDF"
            },
            "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7392/?format=api",
            "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2402/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1633/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/23442/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/23445/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/23446/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/23448/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/23449/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/23451/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25429/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25430/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25431/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25432/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25433/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25434/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25435/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25436/?format=api"
            ],
            "dataLineage": "Data were collected by the University of Bristol and deposited at the Centre for Environmental Data Analysis (CEDA) for archiving.",
            "removedDataTime": null,
            "removedDataReason": "",
            "language": "English",
            "identifier_set": [],
            "projects": [
                "https://api.catalogue.ceda.ac.uk/api/v2/projects/27561/?format=api"
            ],
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                "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/27499/?format=api"
            ],
            "responsiblepartyinfo_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115263/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115260/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115259/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115257/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115266/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115261/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115258/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115262/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115268/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115265/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179843/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179874/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179875/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179876/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179877/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179878/?format=api"
            ],
            "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/27557/?format=api",
            "procedureCompositeProcess": null,
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            "permissions": [
                {
                    "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api",
                    "useLimitation": null,
                    "accessConstraints": null,
                    "accessCategory": "public",
                    "accessRoles": null,
                    "label": "public: None group",
                    "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/",
                    "licenceClassifications": "any"
                }
            ],
            "discoveryKeywords": [
                {
                    "ob_id": 1138,
                    "name": "NDGO0003"
                }
            ]
        },
        {
            "ob_id": 27563,
            "uuid": "d2090552c8fe4c16a2fd7d616adc2d9f",
            "title": "Deriving Emissions related to Climate Change Network: CO2, CH4, N2O, SF6 and CO measurements from Bilsdale Tall Tower, North York Moors National Park",
            "abstract": "High frequency measurements of carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), sulfur hexafluoride (SF6) and carbon monoxide (CO) made at  Bilsdale Tall Tower, North York Moors National Park were made for the UK-DECC (Deriving Emissions related to Climate Change) Network. \r\n\r\nBilsdale (BSD) tall tower is in a remote area of the North York Moors National Park and is the first monitoring site in the northeast region of England. The closest large conurbations are York and Middlesbrough, located 30 miles south and 16 miles northeast, respectively. The tower is on a high plateau overlooking green valleys used mainly for livestock (sheep and cattle). Between 2014-01-01 and 2017-03-17, air samples are taken from a line sampling 108 m above ground level. From 2017-03-17 onwards, air was sampled from 248 m above ground level. Due to the sites location, far from strong sources of local pollution, measurements from this site will be used to calculate emission maps of trace gas species in the UK in combination with other measurement stations in the UK (Ridge Hill, Tacolneston and Heathfield) and Ireland (Mace Head).\r\n\r\n\r\nThis work was funded by  Business Energy and Industrial Strategy (BEIS) contracts TRN1028/06/2015 and TRN1537/06/2018 to the University of Bristol.",
            "keywords": "UK-DECC, Bilsdale, trace gas",
            "publicationState": "published",
            "dataPublishedTime": "2019-09-04T10:05:24",
            "doiPublishedTime": null,
            "updateFrequency": "",
            "status": "ongoing",
            "result_field": {
                "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27564/?format=api",
                "dataPath": "/badc/uk-decc-network/data/previous_versions/Bilsdale",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 603829253,
                "numberOfFiles": 52,
                "fileFormat": "NetCDF"
            },
            "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7392/?format=api",
            "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2298/?format=api",
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            "phenomena": [
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58411/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58412/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58413/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58414/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58415/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58416/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/61969/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74599/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74600/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74601/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74602/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74603/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74605/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74606/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74607/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74609/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74612/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74613/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75537/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75543/?format=api"
            ],
            "dataLineage": "Data were collected by the University of Bristol and deposited at the Centre for Environmental Data Analysis (CEDA) for archiving.",
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                "https://api.catalogue.ceda.ac.uk/api/v2/projects/27561/?format=api"
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                "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/27499/?format=api"
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                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115279/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115274/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115275/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115272/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115277/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115273/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115269/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115276/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115270/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115271/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179868/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179869/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179870/?format=api"
            ],
            "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/27565/?format=api",
            "procedureCompositeProcess": null,
            "procedureComputation": null,
            "permissions": [
                {
                    "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api",
                    "useLimitation": null,
                    "accessConstraints": null,
                    "accessCategory": "public",
                    "accessRoles": null,
                    "label": "public: None group",
                    "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/",
                    "licenceClassifications": "any"
                }
            ],
            "discoveryKeywords": [
                {
                    "ob_id": 1138,
                    "name": "NDGO0003"
                }
            ]
        },
        {
            "ob_id": 27572,
            "uuid": "c1145ccc4b6d4310a4fc7cce61041b63",
            "title": "ECMWF ERA5: surface level analysis parameter data",
            "abstract": "This dataset contains ERA5 surface level analysis parameter data. ERA5 is the 5th generation reanalysis project from the European Centre for Medium-Range Weather Forecasts (ECWMF) - see linked documentation for further details. This dataset contains a limited selection of all available variables and have been converted to netCDF from the original GRIB files held on the ECMWF system. They have also been translated onto a regular latitude-longitude grid during the extraction process from the ECMWF holdings. For a fuller set of variables please see the linked Copernicus Data Store (CDS) data tool, linked to from this record.\r\n\r\nModel level analysis and surface forecast data to complement this dataset are also available. Data from a 10 member ensemble, run at lower spatial and temporal resolution, were also produced to provide an uncertainty estimate for the output from the single high resolution (hourly output at 31 km grid spacing) 'HRES' realisation producing data in this dataset.\r\n\r\nThe ERA5 global atmospheric reanalysis of the covers 1979 to 2 months behind the present month. This follows on from the ERA-15, ERA-40 rand ERA-interim re-analysis projects.\r\n\r\nAn initial release of ERA5 data (ERA5t) is made roughly 5 days behind the present date. These will be subsequently reviewed ahead of being released by ECMWF as quality assured data within 3 months. CEDA holds a 6 month rolling copy of the latest ERA5t data. See related datasets linked to from this record. However, for the period 2000-2006 the initial ERA5 release was found to suffer from stratospheric temperature biases and so new runs to address this issue were performed resulting in the ERA5.1 release (see linked datasets). Note, though, that Simmons et al. 2020 (technical memo 859) report that \"ERA5.1 is very close to ERA5 in the lower and middle troposphere.\" but users of data from this period should read the technical memo 859 for further details.",
            "keywords": "ECMWF, ERA, ERA5, reanalysis, analysis, surface level",
            "publicationState": "published",
            "dataPublishedTime": "2021-03-10T09:49:59",
            "doiPublishedTime": null,
            "updateFrequency": "monthly",
            "status": "ongoing",
            "result_field": {
                "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27567/?format=api",
                "dataPath": "/badc/ecmwf-era5/data/oper/an_sfc/",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 6241422299609,
                "numberOfFiles": 5356105,
                "fileFormat": "Data are netCDF formatted."
            },
            "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8225/?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/51981/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59154/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59155/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68850/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68851/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68852/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68853/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68854/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68855/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68856/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68857/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68858/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68859/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68860/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68861/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68862/?format=api"
            ],
            "dataLineage": "Data are generated by the ERA5 project at European Centre for Medium-Range Weather Forecasts (ECMWF) before being prepared by CEDA staff using the ECMWF system and uploaded to Centre for Environmental Data Analysis (CEDA) for ingestion into the archive. Data are translated over to a regular latitude-longitude grid and converted to netCDF format ahead of transfer to the CEDA system.",
            "removedDataTime": null,
            "removedDataReason": "",
            "language": "English",
            "identifier_set": [],
            "projects": [
                "https://api.catalogue.ceda.ac.uk/api/v2/projects/30234/?format=api"
            ],
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                "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30248/?format=api"
            ],
            "responsiblepartyinfo_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115284/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115283/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115285/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115286/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115287/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115288/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115281/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115282/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115289/?format=api"
            ],
            "procedureAcquisition": null,
            "procedureCompositeProcess": null,
            "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/30236/?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"
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            ],
            "discoveryKeywords": [
                {
                    "ob_id": 1138,
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        },
        {
            "ob_id": 27577,
            "uuid": "2503df629a8a485e8582e5150876b210",
            "title": "Thunderstorm occurrence at ten sites across the UK digitsied from the UK Met Office Monthly Weather Records (1884-1993)",
            "abstract": "This dataset contains UK Met Office Daily Weather Reports (DWR) from ten sites from the UK Met Office Monthly Weather Records (1884-1993), using the recently-scanned UK Met Office Monthly Weather Reports (MWR). The data are presented as is, with no attempt to provide any corrections  or calibration. Approximately half the stations exhibit sharp drops in thunderdays at various points between 1960 and 1990. Comparison with nearby Met Office Integrated Data Archive System (MIDAS) stations suggests the low thunderdays are the result of changes in observing practice, rather than genuine changes in thunderstorm  occurrence. These potential  data issues limit  interpretation of the long-term  trends. \r\n\r\n DWR  contain extensive logs of UK thunderstorm activity, in the form of thunderday observations.  To date, only a very small fraction of these data have been digitised as part of the MIDAS dataset, and exclusively after 1950.",
            "keywords": "Thunderstorms, UK, Weather reports",
            "publicationState": "citable",
            "dataPublishedTime": "2019-08-12T08:06:09",
            "doiPublishedTime": "2019-08-12T08:30:09",
            "updateFrequency": "",
            "status": "completed",
            "result_field": {
                "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27576/?format=api",
                "dataPath": "/badc/deposited2019/uk-thunder-days/data/v1/",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 160411,
                "numberOfFiles": 2,
                "fileFormat": "Data are netCDF formatted"
            },
            "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7393/?format=api",
            "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2404/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1319/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1320/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/4385/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68302/?format=api"
            ],
            "dataLineage": "Data originates from the Met Office it has been digitised by the data provider without further QC by the Met Office and therefore the Met Office is currently unable to confirm the accuracy of the keying. They have been digitised and deposited at the Centre for Environmental Data Analysis (CEDA) for archiving.",
            "removedDataTime": null,
            "removedDataReason": "",
            "language": "English",
            "identifier_set": [
                "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10550/?format=api"
            ],
            "projects": [
                "https://api.catalogue.ceda.ac.uk/api/v2/projects/4/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/projects/1186/?format=api"
            ],
            "observationcollection_set": [],
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                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115308/?format=api",
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        {
            "ob_id": 27580,
            "uuid": "438268b75fed4f27988dc02f8a1d756d",
            "title": "CMIP6 HighResMIP: Tropical storm tracks as calculated by the TempestExtremes algorithm",
            "abstract": "These data are the tropical storm tracks calculated using the \"TempestExtremes\" storm tracking algorithm. The storm tracks are from experiments run as part of HighResMIP (High Resolution Model Intercomparison Project; Haarsma, R. J. and co-authors) a component of the Coupled Model Intercomparison Project Phase 6 (CMIP6). The raw HighResMIP data are available from the Earth System Grid Federation (ESGF), here the calculated storm tracks are available.\r\n\r\nThe storm tracks are provided as Climate Model Output Rewriter (CMOR)-like NetCDF files with one file per hemisphere for all years in the simulated period of HighResMIP experiments:\r\n1950-2014 - highresSST-present, atmosphere-only;\r\n2015-2050 - highresSST-future experiment, atmosphere-only;\r\n1950-2050 – control-1950, coupled atmosphere-ocean;\r\n1950-2014 – hist-1950, coupled atmosphere-ocean;\r\n2015-2050 – highres-future, coupled atmosphere-ocean using SSP585 scenario. \r\nThere is one tracked variable in each file with time, latitude and longitude coordinates associated at each six-hour interval.\r\n\r\nOther variables associated with each track are also provided, e.g. the minimum or maximum value adjacent to the track of the variable of interest and these variables have their own latitude and longitude coordinate variables. If a maximum/minimum value is not found, then a missing data value is used for the respective latitude-longitude values.",
            "keywords": "CMIP6, HighResMIP, tropical, cyclone, high resolution, storm tracking",
            "publicationState": "published",
            "dataPublishedTime": "2019-07-23T10:56:26",
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                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 1616803602,
                "numberOfFiles": 237,
                "fileFormat": "The storm tracks are provided as Climate Model Output Rewriter (CMOR)-like NetCDF files with one file per hemisphere ."
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                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52295/?format=api"
            ],
            "dataLineage": "The data were passed from the project team to the Centre for Environmental Data Analysis for archival and distribution in July 2019.",
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                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115319/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115320/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115321/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115317/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168776/?format=api",
                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115322/?format=api"
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        {
            "ob_id": 27583,
            "uuid": "67074956dd8b45a59f3fca8c60eca9b7",
            "title": "Sentinel 1 Analysis-Ready Data for the Committee on Earth Observation Satellites (ARD4CEOS) over Plymouth",
            "abstract": "This reference only dataset contains Sentinel-1 data that has been modified to provide a Normalised Radar Backscatter, Analysis Ready Dataset over Plymouth.  Two months' of data are provided for each area in the CARD4L v3.2.2 standard format.  The data is designed to be used with the ESA SNAP toolbox. UK Analysis-Ready Data (ARD) tests in support of the Committee on Earth Observation Satellites (CEOS) Standards is a project run by the Group on Earth Observations (GEO)/CEOS office.  The purpose of the project was to demonstrate the UK's ability to produce ARD to the specified CEOS Analysis Ready Data for Land (CARD4L) standards. The GEO/CEOS office is hosted by NCEO and funded by UK Space Agency, DEFRA and NERC.",
            "keywords": "ARD, Sentinel",
            "publicationState": "published",
            "dataPublishedTime": "2019-10-03T15:51:14",
            "doiPublishedTime": null,
            "updateFrequency": "",
            "status": "completed",
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                "dataPath": "/neodc/ard4ceos/data/plymouth/",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 89994207065,
                "numberOfFiles": 200,
                "fileFormat": "These data are provided in HDR and IMG format suitable for use with the ESA SNAP toolbox. Each product comes with various masks and metadata files."
            },
            "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7389/?format=api",
            "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2405/?format=api",
            "nonGeographicFlag": false,
            "phenomena": [],
            "dataLineage": "Contains modified Copernicus Sentinel data 2018; Example ARD dataset produced under the 'UK Analysis-Ready Data Tests in Support of CEOS Standards' project. Data delivered to CEDA for archiving.",
            "removedDataTime": null,
            "removedDataReason": "",
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                "https://api.catalogue.ceda.ac.uk/api/v2/projects/27545/?format=api"
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                "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30129/?format=api"
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                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115340/?format=api",
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                "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115339/?format=api",
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        {
            "ob_id": 27596,
            "uuid": "602f11d9a2034dae9d0a7356f9aeaf45",
            "title": "The Disdrometer Verification Network (DiVeN): particle diameter and fall velocity measurements from a network of Thies Laser Precipitation Monitors around the UK (2017-2019)",
            "abstract": "Starting in February 2017, a network of 14 Thies™ manufactured Laser Precipitation Monitors (LPMs) were installed at various locations around the United Kingdom to create the Disdrometer Verification Network (DiVeN). The instruments were installed for verification of radar hydrometeor classification algorithms but are valuable for much wider use in the scientific and operational meteorological community.\r\n\r\nEvery Thies LPM is able to designate each observed hydrometeor into one of 20 diameter bins from >= 0.125 mm to > 8 mm, and one of 22 speed bins from > 0.0 m s-1 to > 20.0 m s-1. A laser and diode receiver operate in tandem; a falling particle will occlude the beam. The duration of the occlusion and the maximum extent (measured by diode voltage) determines the fall velocity and diameter respectively. Using empirically-derived relationships, the instrument classifies precipitation into one of 11 possible hydrometeor classes in the form of a 'present weather code', with an associated indicator of uncertainty. To provide immediate feedback to data users, the observations are plotted in near real time (NRT) and made publicly available on a website within 7 minutes (see linked documentation section). A 'present weather code' is a World Meteorological Organisation (WMO) code used to define the present observatory weather (see linked documentation for the WMO present weather code list).\r\n\r\nThe instruments belonged to the Met Office but were loaned to the National Centre for Atmospheric Science (NCAS) for the duration of the project. NCAS handle the receiving server for real-time DiVeN data, which is the only route to this dataset. On-site collection of data are not guaranteed in all circumstances. Some of the sites rely on unreliable O2 3G dongles; whilst the Feshie instrument was solar and wind powered and the Coverhead instrument suffered from power / connectivity issues. Any missing data can be explained by these reasons, and are handled appropriately in the files. The data were collated into daily files of 1440 minutes. More information can be found in Pickering et al., 2018, see related documentation.",
            "keywords": "disdrometer, rainfall, precipitation, verification, hydrometeors",
            "publicationState": "citable",
            "dataPublishedTime": "2019-10-29T11:25:16",
            "doiPublishedTime": "2019-10-31T14:59:50.268415",
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            "status": "final",
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                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 72756447035,
                "numberOfFiles": 13483,
                "fileFormat": "Data are NetCDF formatted."
            },
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            ],
            "dataLineage": "The resource came into existence to fulfil a need for more reliable hydrometeor type data in the UK (compared with automated stations using a visiometer) in order to verify radar hydrometeor classification algorithms for the UK C-band dual-polarisation radar network, which was upgraded to dual-polarisation 2013-2018. \r\n\r\nThe recorded disdrometer precipitation data are uploaded in real time to an NCAS server, where it has been converted to a netCDF format. The instrument itself does all the internal processing to generate the extra variables before outputting the data to a user, but the raw particle counts are retained. Raw diode voltages are not an available product.",
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        {
            "ob_id": 27599,
            "uuid": "67b206b17365444b8243182f04c8ba44",
            "title": "FIDUCEO: Fundamental Climate Data Record of recalibrated brightness temperatures for the Advanced Very-High-Resolution Radiometer (AVHRR) with metrologically-traceable uncertainty estimates, 1998 - 2016,  v1.0",
            "abstract": "This Fundamental Climate Data Record (FDCR) of recalibrated brightness temperatures for the Advanced Very-High-Resolution Radiometer (AVHRR) AVHRR/1, AVHRR/2 andAVHRR/3 with metrologically-traceable uncertainty estimates.  Error covariance information is also provided.In this data set , in addition to relative reflectance for channels 1, 2 and 3A( when available) together with estimated independent, common and structured uncertainties are also provided.\r\n\r\nThe FIDelity and Uncertainty in Climate data records from Earth Observations (FIDUCEO) project AVHRR FCDR improves on existing AVHRR level-1B data (such as that processed by NOAA or EUMETSAT): the calibration has been improved with a measurement function approach such that the data is of better quality (noise has been reduced, outliers have been filtered) the metrologically traceable uncertainties have been derived together with their associated effects cross-channel correlations and long-term correlation structures have now been calculated from the processed data and are being understood and used to improve data quality and consistency all the sensors are calibrated to a common reference (AATSR series).The products have been harmonised across the satellite series using Simultaneous (Nadir) Overpasses (SNOs).\r\n\r\nFull documentation including product user guide, tutorials, the scientific basis and relevant publications are available in the documentation.",
            "keywords": "Uncertainty,  FIDUCEO,  AVHRR,  Fundamental Climate Data Record",
            "publicationState": "published",
            "dataPublishedTime": "2019-10-25T10:36:30",
            "doiPublishedTime": null,
            "updateFrequency": "notPlanned",
            "status": "completed",
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                "dataPath": "/neodc/fiduceo/data/fcdr/avhrr/v1.00/easy/",
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                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 19390753021052,
                "numberOfFiles": 453804,
                "fileFormat": "The files fomat is  CF compliant NetCDF please see dicumentation for full format specification"
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            "title": "FIDUCEO: Advanced Very-High-Resolution Radiometer (AVHRR ) Climate Data Record for Aerosol Optical Depth, V1.0, 2003 -2012",
            "abstract": "The Fidelity and uncertainty in climate data records from Earth Observations (FIDUCEO) projcet Advanced Very-High-Resolution Radiometer (AVHRR ) Climate Data Record for Aerosol Optical Depth (AOD) dataset covers Europe and North  Africa  over land.  It was  inferred  from AVHRR/3 instruments on board the  NOAA-16 and NOAA-18 satellites. \r\n\r\nThe dataset is provided on 3 processing levels: superpixels (L2B: 12x12 km2at nadir), gridded (1°x 1°) daily (L3 daily) and monthly (L3 monthly). The original lowest processing level (on selected dark field pixels) is not provided to users, but can be made available on request. The product contains the best AOD estimate but also a more detailed information on different aerosol types (most likely AOD value based on a multi-model ensemble climatology of the aerosol type and a 36 member ensemble of AOD values for a wide range of aerosol types spanning a realistic range in the atmosphere). A user  can  also process  an  application  with  all  36  ensemble  members  and  then  calculate  the  spread  of  the application results. Note that AOD values on the lowest processing level can be (slightly) negative reflecting radiometric calibration uncertaintiesand keeping un-cut AOD distributions.\r\n\r\nThe products contain on all levels sophisticated and detailed estimates of total AOD uncertainties propagated from  the  input  L1B  products  and  the  retrieval  algorithm through  all  levels of the  processing  chain.   These total uncertainties can be directly used for data assimilation or to constrain a confidence interval around the AOD solutions. AOD uncertainties are also kept separated into the (relevant) different parts with different correlation structures, so that a user can conduct averaging and uncertainty propagation as suitable for the intended  applications. Uncertainties also  include   separate  values  for  the  dominant  effects  (reflectance inversion, albedo estimation, aerosol type, cloud masking); also estimates of a sampling uncertainty (due to missing pixels from the cloud masking or from failed inversions) are contained.\r\n\r\nMore information including a report on the datset and scientific background is availible in the documentation section.",
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            "title": "FIDUCEO: Sea and Lake Surface Temperature Climate Data Record,  V2.11,  2006 -2016",
            "abstract": "The FIDelity and Uncertainty in Climate data records from Earth Observations (FIDUCEO) project  Sea and Lake Surface Temperature Climate Data Record  core retrieved quantity is the skin (radiometric) temperature of the Earth’s water surfaces (sea and large lakes). This is provided as a best estimate, plus an ensemble of 10 perturbations capturing known uncertainties. The CDR contains grid-cell instantaneous averagesof retrieved surface temperature over ice-free oceans and 300 large lakes.\r\n\r\n\r\nThe FIDUCEO Surface Temperature CDR differs from the ESA Sea Surface Temperature Climate Change Initiative CDRs ; which were generated using in the using the same cloud detection and SST retrieval methodology in the following points:\r\n\r\n- The calibration of the brightness temperatures used is revised for the FIDUCEO ST CDR. The first step in this has been multi-sensor harmonisation to obtain baseline calibration coefficients (Giering et al., 2019). For specific ST application, these coefficients were adjusted such that SSTs had lower bias, using a method of cross-referencing to matched drifting buoys (Merchant et al., 2019)\r\n- Perturbations to the obtained ST and quality level determination are provided for an ensemble of 10 members, for the purpose of propagating uncertainty in ST in complex (large scale, non-linear) applications.\r\n- The FIDUCEO ST CDR includes retrievals over the world’s 300 largest lakes, unlike the SST-only product. (Lakes, including much smaller lakes,are addressed in other CDRs requiring significantly different methodsto cope with the difficulties of small target water bodies.)\r\n\r\nFull documentation including product user guide, tutorials, the scientific basis and relevant publications are available in the documentation.",
            "keywords": "Uncertainty,  FIDUCEO,  AVHRR,  Climate Data Record, Sea Surface Temperature, Lake Surface Temperature, MetopA",
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            "title": "APHH: Simulated photolysis rates using the Fast-JX model at the IAP-Beijing site during the winter and summer campaigns",
            "abstract": "This dataset contains Simulated Photolysis rates using the Fast-JX model at the IAP-Beijing site during the winter and summer APHH-Beijing campaign for the Atmospheric Pollution & Human Health in a Chinese Megacity (APHH) programme.\r\n\r\nFast-JX column photolysis model was used at Lancaster University  to simulate column profiles of photolysis rates (JO3 and JNO2) centred on the Institute of Atmospheric Physics (IAP) tower site in Beijing. The photolysis rate profiles are simulated under different aerosol loadings to represent the optical effects of individual species and cloud cover on photochemistry.",
            "keywords": "APHH, photolysis, Fast-JX model, IAP, Beijing",
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            "uuid": "b37470e2d12b4763a323a03d0f494f6a",
            "title": "GAUGE: Methane, carbon dioxide and meteorological observations taken onboard Finlandia Seaways (2015-2017)",
            "abstract": "This dataset contains methane, carbon dioxide and meteorological observations taken onboard the commercial freight ferry Finlandia Seaways on route between Rosyth (Scotland, UK: 56°1'21.611''N 3°26'21.558'' W) and Zeebrugge (Belgium : 51°21'16.96''N 3°10'34.645''E) 2015-2017 by the Centre for Ecology and hydrology (CEH). The measurements were taken using a Picarro CRDS model G1301, Vaisala WXT510 weather station and Garmin GPS. \r\n\r\nThis data was collected as part of the Natural Environment Research Council (NERC) Greenhouse gAs Uk and Global Emissions (GAUGE) project (NE/K002449/1NERC)  and NERC UK-SCAPE programme delivering National Capability (NE/R016429/1).\r\n\r\nThe GAUGE project aimed to determine the magnitude, spatial distribution, and uncertainties of the UK's Greenhouse Gas budget using new and existing measurement networks and modelling approaches at a range of scales.",
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            "uuid": "bbdfd09a04304158b366777eba0d2aeb",
            "title": "High resolution Standardized Precipitation Evapotranspiration Index (SPEI) dataset for Africa",
            "abstract": "This dataset consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM). \r\n\r\nThe SPEI dataset covers the whole of the African continent for a 36-year-long period (1981–2016) at a horizontal resolution of 5 km (0.05 deg) and a monthly time resolution. The dataset is provided in NetCDF format with in a Geographic Lat/Lon projection. Due to the lower reliability of SPEI over areas with low hydro-climatic variability, the areas with barren or sparsely vegetated areas in Africa were masked out based on data from the Moderate Resolution Imaging Spectroradiometer (MODIS) land surface type product (MCD12Q1).",
            "keywords": "SPEI, Africa, UK Space Agency, drought",
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            "title": "ARSF 2014_309 - MA14_14 Flight: Airborne remote sensing measurements",
            "abstract": "Airborne remote sensing measurements collected on 5th November 2014 onboard the NERC ARSF Dornier Do228-101 D-CALM Aircraft for the Biodiversity and Land-use Impacts on Tropical Ecosystem function (BALI) (MA14_14) project (flight reference: 2014_309). This dataset comprises: hyperspectral data collected using a Specim Aisa FENIX, full waveform airborne LiDAR collected using a Leica ALS50II, and digital photography data collected using a Leica RCD105.\r\n\r\nData were collected over the Sepilok Forest Reserve, Sabah, Malaysia area.",
            "keywords": "MA14_14, MA14/14, aircraft, hyperspectral, remote sensing, lidar, tropical forest, sabah",
            "publicationState": "citable",
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            "title": "Spectral analysis of voltage data taken from the Canadian Riometer Array",
            "abstract": "This dataset contains voltage data taken from the Canadian Riometer Array (CRA). The provided tables and datasets can be used to determine if the voltage time series of CRA riometers have characteristic spectral features. In addition, datasets are provided which have been collected from the Solar Wind Electron Proton Monitor (SWEPAM) and Magnetic Field Experiment (MAG) instruments aboard the Atmospheric Composition Explorer (ACE).",
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            "dataLineage": "Data produced by the project participants at Queen's University, Canada and uploaded to the Centre for Environmental Data (CEDA) for archiving.",
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            "title": "ESA Land Cover Climate Change Initiative (Land_Cover_cci):  Global Land Cover Maps, Version 2.0.7",
            "abstract": "As part of the ESA Land Cover Climate Change Initiative (CCI) project a new set of Global Land Cover Maps have been produced. These maps are available at 300m spatial resolution for each year between 1992 and 2015.\r\n\r\nEach pixel value corresponds to the classification of a land cover class defined based on the UN Land Cover Classification System (LCCS).  The reliability of the classifications made are documented by the four quality flags (decribed further in the Product User Guide) that accompany these maps.    Data are provided in both NetCDF and GeoTiff format.\r\n\r\nFurther Land Cover CCI products, user tools and a product viewer are available at: http://maps.elie.ucl.ac.be/CCI/viewer/index.php .   Maps for the 2016-2020 time period have been produced in the context of the Copernicus Climate Change service, and can be downloaded from the Copernicus Climate Data Store (CDS).",
            "keywords": "Land Cover, CCI",
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            "dataLineage": "Data were processed by the ESA CCI Land Cover project and supplied to CEDA in the context of the ESA CCI Open Data Portal Project",
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            "title": "BITMAP: Tracks of western disturbances transiting Pakistan and north India from various CMIP5 midHolocene experiments",
            "abstract": "This dataset contains tracks generated using a bespoke tracking algorithm developed within the BITMAP (Better understanding of Interregional Teleconnections for prediction in the Monsoon And Poles) project, identifying and linking upper-tropospheric vortices (described in Hunt et al, 2018, QJRMS - see linked documentation). The dataset was produced utilising data derived from from various simulation output for the WCRP Coupled Model Intercomparison Project, Phase 5 (CMIP5) 'mid-Holocene' experiment. Similar datasets were produced using various model output from the WRCP CMIP5 'Historical', 'RCP45' and 'RCP85' experiments and the ECMWF ERA-Interim reanalysis model output, also available within the parent dataset collection.\r\n\r\nThe mid-Holocene period were designed to simulate the climate 6000 years ago, thus the representative date range for these data is circa 4025-4000 BC. Not all available CMIP5 mid-Holocene experiments were chosen for this dataset as the algorithm required 6-hourly output fields which were not available for all runs.\r\n\r\nWestern disturbances (WDs) are upper-level vortices that can significantly impact the weather over Pakistan and north India. This is a catalogue of the tracks of WDs passing through the region (specifically 20-36.5N, 60-80E) on the 500 hPa layer. This differs from those tracks from the ECMWF Era-Interim data which were carried out on the 450-300 hPa layer. See linked documentation for details of the algorithms used.\r\n\r\nBITMAP was an Indo-UK-German project (NERC grant award NE/P006795/1) to develop better understanding of processes linking the Arctic and Asian monsoon, leading to better prospects for prediction on short, seasonal and decadal scales in both regions. Recent work had suggested that the pole-to-equator temperature difference is an essential ingredient driving variations in the monsoon. For further details on the project itself see the linked Project record.",
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            "title": "ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 3 aerosol products from AATSR (SU algorithm), Version 4.3",
            "abstract": "The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics.   This dataset comprises Level 3 daily and monthly aerosol products from the AATSR instrument on the ENVISAT satellite, using the Swansea University (SU) algorithm, version 4.3. Data is available for the period 2002 - 2012.\r\n\r\nFor further details about these data products please see the documentation.",
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            "dataPublishedTime": "2020-08-27T16:11:31",
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            "title": "ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 3 aerosol products from ATSR-2 (ensemble product), Version 2.6",
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            "title": "Qualitative Interviews with Women in Greater Manchester (UK) about their conceptualizations of air pollution and a city with clean air",
            "abstract": "This dataset contains semi-structure qualitative interview transcripts (n=30) with women in Greater Manchester, about how they conceptualize air pollution and envision a city with clean air. This data has been fully anonymized by the author. The data collection took place between 2018 and 2019. Interviews were designed to last approximately 1h. The questioning route received full ethical approval from Manchester Metropolitan University Academic Ethics Committee. Participants were recruited following a purposive sampling technique, assuring that the people being interviewed are relevant to the research question and that different segments of the population are interviewed. This was complemented with a snowball sampling technique to expand the sample size of relevant interviewees. Before the interviews started, the background of the researcher, the project, as well as the structure of the interviews were explained to the participants, and verbal consent was asked to proceed with the interview, to record, and to use the data in the form of papers or conference presentations, as well as to make the data publicly available. \r\n\r\nThe interviews were composed of two sections. The first part gathered data in relation to socio-demographic factors to make sure that women with different backgrounds were represented (i.e. age, ethnicity, nationality, number of children, occupation, co-habitation, responsibility for unpaid work, carbon footprint, and main form of transport). The second part contained questions about the present of air pollution and about the future of Greater Manchester and cleaner air. The questions were: (1) How do you feel when you hear the term air pollution? (2) How would you describe air pollution in your own words? (3) Which of your daily activities contribute to air pollution the most? (4) Is air pollution a concern for you? (5) Do you think Greater Manchester is polluted, and do you recognize any places as being more polluted than others? (6) When you decide on a form of transport, what do you value most? (7) How do you feel when you hear a city with clean air? (8) How would you describe a city with clean air? (9) If you could change anything in Greater Manchester, so that it becomes a city with clean air, what would you change? \r\n\r\nSample description: 30 women in Greater Manchester. \r\nAge: < 40 (14 participants), 40-60 (11 participants), > 60 (5 participants).\r\nNationality: British (23 participants), Other nationalities (7 participants).\r\nEthnicity: White (25 participants) Other ethnic groups (5 participants).\r\nOccupation: Policy-maker (3 participants), Teacher (4 participants), University lecturer or researcher (6 participants), Student (2 participants), Environmental manager (2 participants), Business professional (3 participants), Architect (1 participants), Service and sales worker (3 participants), Retired (6 participants). \r\nChildren: Yes (17 participants), No (13 participants).\r\nResponsibility for unpaid work: Myself (9 participants), 50% - 50% split (6 participants), Me > 50% (10 participants), Me < 50% (5 participants). \r\nCo-habitation: Alone (4 participants), Partner (16 participants), Partner and children (6 participants), Children (3 participants), Flatmate (1 participants). \r\nMain form of transport: Car (11 participants), Walk (9 participants), Public transport (6 participants), Bike (4 participants). \r\nCarbon footprint: High (23 participants), Low (7 participants). \",",
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        {
            "ob_id": 27709,
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            "title": "Climate of the last millenium UV solar model experiments",
            "abstract": "This dataset contains UV solar model experiment data using the Hadley Centre Global Environmental Model version 3 at the Global Coupled model 2.0 (HadGEM3 GC2) configuration (Williams et al 2015). The model was used as part of the Natural Environment Research Council (NERC) Climate of the LAst Millennium (CLAM): An Integrated Data-Model Approach to Reconstruct and Interpret Annual Variability in North Atlantic Circulation project (NE/N001176/1).\r\n\r\nThe model performs step changes in the UV forcing and integrate for 50 years to identify multi-decadal changes due to solar radiation adjustment. The simulations are 0.25 degree ocean resolution (eddy-permitting) and so ocean dynamics and ocean-atmosphere coupling are more realistic than in models used in previous work evaluating the effect of UV forcing. Each simulation has an equivalent control simulation, and an experiment with a total solar irradiance change in addition to the UV forcing experiments.",
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            "title": "NIALL: Meteoric Ablation Simulator (MASI) sodium and nickel ablation experimental data",
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            "title": "NIALL: Chemical Ablation Model version 3 (CABMOD3) simulations of metal ablation from meteoroids",
            "abstract": "This dataset contains Chemical Ablation Model version 3 (CABMOD3) simulations of metal ablation from meteoroids.\r\n\r\nThis experiment was undertaken as part of Natural Environment Research Council (NERC) First study of the global Nickel and Aluminium Layers in the upper atmosphere (NIALL) project (NE/P001815/1). This project aimed to make the first ever study of  Ni and Al chemistry in the mesosphere/lower thermosphere.",
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            "title": "CP4A-Present: Present-day climate predictions for Africa",
            "abstract": "Ten years of present-day Climate Predictions for Africa (CP4A-present) data were produced by the NERC funded IMPALA (Improving Model Processes for African cLimAte) project team using the Met Office Unified Model (4.5km horizontal grid spacing) and are valid from 1997-2007. Parameters include (but not limited to); near-surface air temperature, outgoing longwave radiation and surface sensible heat flux. The IMPALA project is within the Future Climate for Africa (FCFA) programme.\r\n\r\nHere a subset of variables of the data produced is provided in NetCDF format for community reuse, variables are available at a range of temporal frequencies.",
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            "abstract": "Convection permitting climate model projections produced as part of the UK Climate Projection 2018 (UKCP18) project. The data produced by the Met Office Hadley Centre provides information on changes in climate for the UK until 2080, downscaled to a high resolution (2.2km), helping to inform adaptation to a changing climate. \r\n\r\nThe projections cover the UK and the time period 01/12/1980 to 30/11/2080 for a high emissions scenario RCP8.5. Each projection provides an example of climate variability in a changing climate, which is consistent across climate variables at different times and spatial locations.\r\n \r\nThis dataset contains 2.2km data regionally averaged to 23 UK River Basins. Further information on this dataset and UKCP18 can be found in the documentation section. \r\n\r\nNote that the first version of this data covered three time slices (1981-2000, 2021-2040 and 2061-2080), and in March 2023 the remaining time slices (2001-2020, 2041-2060) were added. In December 2024, an additional four downscaled CMIP5 members were added . Also note that the data for the three time slices (1981-2000, 2021-2040 and 2061-2080) were updated during summer 2021, after the correction of a coding error relating to graupel. Full details can be found on the Met Office website, on the UKCP Project News page in the documentation section.",
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            "title": "UKCP Local Projections on a 5km grid over the UK for 1980-2080",
            "abstract": "Convection permitting climate model projections produced as part of the UK Climate Projection 2018 (UKCP18) project. The data produced by the Met Office Hadley Centre provides information on changes in climate for the UK until 2080, downscaled to a high resolution (2.2km), helping to inform adaptation to a changing climate. \r\n \r\nThe projections cover the UK and the time period 01/12/1980 to 30/11/2080 for a high emissions scenario RCP8.5. Each projection provides an example of climate variability in a changing climate, which is consistent across climate variables at different times and spatial locations.\r\n \r\nThis dataset contains 2.2km data on a rotated pole regridded onto a 5km grid on the Ordnance Survey's British National Grid. Further information on this dataset and UKCP18 can be found in the documentation section. \r\n\r\nNote that the first version of this data covered three time slices (1981-2000, 2021-2040 and 2061-2080), and in March 2023 the remaining time slices (2001-2020, 2041-2060) were added. In December 2024, an additional four downscaled CMIP5 members were added . Also note that the data for the three time slices (1981-2000, 2021-2040 and 2061-2080) were updated during summer 2021, after the correction of a coding error relating to graupel. Full details can be found on the Met Office website, on the\" UKCP Project News page in the documentation section.",
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            "title": "Sentinel 3A Synthetic Aperture Radar Altimeter (SRAL) Level 2 Land data",
            "abstract": "This dataset contains altimetry data from the Synthetic Aperture Radar Altimeter (SRAL) aboard the European Space Agency (ESA) Sentinel 3A Satellite. Sentinel 3A was launched on the 16th February 2016. Level-2 (L2) is the Level-1 data corrected for geophysical effects. \r\n\r\nLike many recent altimeters, Sentinel 3 operates at two frequencies (Ju and C band) in order to derive an ionospheric correction. A Level 2 SRAL/MWR complete product contains three data files:\r\na \"reduced\" (Red) data file, containing a subset of the main 1 Hz Ku band parameters\r\na \"standard\" (Std) data file containing the standard 1 Hz and 20 Hz Ku and C-band parameters\r\nan \"enhanced\" (Enh) data file containing the standard 1 Hz and 20 Hz Ku and C-band parameters, the waveforms and the associated parameters necessary to reprocess the data.\r\nThe SRAL/MWR Level-2 products are generated in Standard Archive Format for Europe (SAFE) format. All the information relevant to the product is gathered into a single package. Inside this package, the specific objects containing measurement data are encoded in netCDF format.\r\n\r\nThere are different levels of data latency related to the availability of auxiliary or ancillary data:\r\n\r\nNear Real-Time (NRT): delivered less than 3 hours after data acquisition\r\nSlow Time Critical (STC): delivered within 48 hours after data acquisition\r\nNon-Time Critical (NTC): delivered within typically 1 month after data acquisition.\r\n\r\nData are provided by ESA and are made available via CEDA to any registered user.",
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            "uuid": "34660ad77b744572b70fe6a721cbd4f2",
            "title": "GAUGE: Ecotech Spectronus FTIR greenhouse gas concentrations in Glatton, Cambridgeshire from October 2014 to April 2016",
            "abstract": "This dataset contains concentrations of methane, carbon dioxide, nitrous oxide, and carbon monoxide measured using an Ecotech Spectronus FTIR (Fourier transform infrared spectrometer) in Glatton, Cambridgeshire. The instrument operated from October 2014 to April 2016 in the tower of St Nicholas Church, Glatton. The church is located at 52.461N, 0.304W, and the inlet was located 20m above the ground.\r\n\r\nThis data was collected as part of the Natural Environment Research Council (NERC) Greenhouse gAs Uk and Global Emissions (GAUGE) project.\r\n\r\nThe GAUGE project aimed to determine the magnitude, spatial distribution, and uncertainties of the UK's Greenhouse Gas budget using new and existing measurement networks and modelling approaches at a range of scales.",
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            "uuid": "ad00efa6f2b44d92aa1022e5b122bb22",
            "title": "GAUGE: Ecotech Spectronus FTIR greenhouse gas concentrations on a landfill site near Great Blakenham, Suffolk, from 7th August 2014 to 15th August 2014",
            "abstract": "This dataset contains concentrations of methane, carbon dioxide, nitrous oxide, and carbon monoxide measured using an Ecotech Spectronus FTIR (Fourier transform infrared) spectrometer. The instrument operated from 7 August 2014 to 15 August 2014 on a landfill site near Great Blakenham, Suffolk. The measurement site was located at 52.112N, 1.082E, and the inlet was located 2m above the ground.\r\n\r\nThis data was collected as part of the Natural Environment Research Council (NERC) Greenhouse gAs Uk and Global Emissions (GAUGE) project.\r\n\r\nThe GAUGE project aimed to determine the magnitude, spatial distribution and uncertainties of the UK's Greenhouse Gas budget using new and existing measurement networks and modelling approaches at a range of scales.",
            "keywords": "GAUGE, FTIR, methane, carbon dioxide, carbon monoxide, nitrous oxide, spectrometer",
            "publicationState": "published",
            "dataPublishedTime": "2019-09-24T07:59:48",
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                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70277/?format=api",
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                "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70281/?format=api"
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            "dataLineage": "Data were collected by the University of Leicester and deposited at the Centre for Environmental Data Analysis (CEDA) for archiving.",
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        {
            "ob_id": 27790,
            "uuid": "9604cf11798b4af3a9dfe573617571d2",
            "title": "IPCC AR5 Seasonal temperature and precipitation extremes in IPCC regions for CMIP5",
            "abstract": "Projected regional average change in seasonal and annual temperature and precipitation extremes for the IPCC SREX regions for CMIP5.  The data were produced in 2013 by the Intergovernmental Panel on Climate Change (IPCC) Working Group II (WGII) Chapter 14 supplementary material (SM) author team for the IPCC Fifth Assessment Report (AR5). \r\n\r\nRegional average seasonal and annual temperature and precipitation extremes for the periods 2016-2035, 2046-2065 and 2081-2100 for CMIP5 General Circulation Model (GCM) projections are compared to a baseline of 1986-2005 from each model's historical simulation. The temperature and precipitation data are  based on the difference between the projected periods and the historical baseline for which the 25th, 50th and 75th percentiles, and the lowest and highest responses among the 32 models which are expressed for temperature as degrees Celsius change and for precipitation as a per cent change.  The temperature responses are averaged over the boreal winter and summer seasons; December, January, February (DJF) and June, July and August (JJA) respectively. The precipitation responses are averaged over half year periods, boreal winter (BW); October, November, December, January, February and March (ONDJFM) and boreal summer (BS); April, May, June, July, August and September (AMJJAS). \r\n\r\nRegional averages are based on the SREX regions defined by the IPCC Special Report on Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation (IPCC, 2012: also known as \"SREX\"). Added to the SREX regions are additional regions containing the two polar regions, the Caribbean, Indian Ocean and Pacific Island States. The data are further categorised by the land and sea mask for each SREX region.",
            "keywords": "IPCC AR5 IPCC-DDC regional CMIP CMIP5 SREX RCP25 RCP60 RCP85",
            "publicationState": "published",
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            "dataLineage": "Data from Table 14.SM.1 of the IPCC 5th Assessment Report, Working Group 1, Chapter 14.\r\n\r\nErrata: the table is missing a row of data and there are errors in the RCP2.6 Caribbean annual precipitation figures (WG1AR5_Errata_26092014.pdf, 14SM-18 and 14SM-22).",
            "removedDataTime": null,
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            "ob_id": 27793,
            "uuid": "df502fe4715c4177ab5e4e367a99316b",
            "title": "Deriving Emissions related to Climate Change Network: CO2, CH4, N2O, SF6 and CO measurements from Heathfield Tall Tower, East Sussex",
            "abstract": "Measurements of carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), sulfur hexafluoride (SF6) and carbon monoxide (CO) have been taken at Heathfield tall tower as part of the UK-DECC (Deriving Emissions related to Climate Change) Network. \r\n\r\nHeathfield (HFD) is a semi-rural UK site located 19 km south of Royal Tunbridge Wells (population ~118,000), in East Sussex, UK. This station is affiliated to the UK DECC (Deriving Emissions related to Climate Change) Network, and is operated by the National Physics Laboratory (NPL). CO2, CH4 and CO are  measured at a height of 50 m and 100 m above ground level. Due to the sites location, far from strong sources of local pollution, measurements from this site will be used to calculate emission maps of trace gas species in the UK in combination with other measurement stations in the UK and Ireland.\r\n\r\nDue to the sites location, far from strong sources of local pollution, measurements from this site are used to calculate emission maps of trace gas species in the UK in combination with other measurement stations in the UK (Bilsdale, Ridge Hill and Tacolneston) and Ireland (Mace Head).\r\n\r\nThis work was funded by  Business Energy and Industrial Strategy (BEIS) contracts TRN1028/06/2015 and TRN1537/06/2018  to the University of Bristol and through the National Measurement System at the National Physical Laboratory.",
            "keywords": "UK-DECC, Heathfield, trace gases",
            "publicationState": "published",
            "dataPublishedTime": "2019-09-26T13:06:13",
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        {
            "ob_id": 27797,
            "uuid": "3200894e4add4049b31f8df132c0d664",
            "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Global attenuation coefficient for downwelling irradiance (Kd490) gridded on a sinusoidal projection, Version 4.0",
            "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 4.0 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 4.0 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.",
            "keywords": "ESA, CCI, Ocean Colour, Sinusoidal",
            "publicationState": "published",
            "dataPublishedTime": "2019-11-27T16:21:59",
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            "dataLineage": "These data were produced by the ESA Ocean Colour CCI project and provided to CEDA in the context of the ESA CCI Open Data Portal project.\r\nThis dataset forms part of the v4.0 ocean colour dataset collection that can be cited with the following DOI: 10.5285/00b5fc99f9384782976a4453b0148f49",
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            "keywords": "IPCC AR5 Regions IPCC-DDC regional CMIP CMIP3 CMIP5 SREX",
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            "title": "FAAM C199 ACSIS-5 flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft",
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