Observation List
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=5600
{ "count": 10256, "next": "https://api.catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=5700", "previous": "https://api.catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=5500", "results": [ { "ob_id": 27102, "uuid": "8692c9ac8d0d4605858c1edb7ee5da17", "title": "Saturation vapour pressures of atmospherically relevant organic compounds", "abstract": "This dataset contains values of saturation vapour pressures of atmospherically relevant organic compounds, derived from the University of Manchester Knudsend Effusion Mass Spectrometer (KEMS). This dataset was collected as part of the International network for coordinating work on the physicochemical properties of molecules and mixtures important for atmospheric particulate matter project, funded by the Natural Environment Research Council (NERC, grant: NE/N013794/1).", "keywords": "Vapour pressures, organic compounds, KEMS, NERC, NE/N013794/1", "publicationState": "published", "dataPublishedTime": "2019-02-14T10:36:56", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27103/?format=api", "dataPath": "/badc/deposited2019/kems-vapour-pressure", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 17403, "numberOfFiles": 2, "fileFormat": "Data are BADC-CSV formatted." }, "timePeriod": null, "geographicExtent": null, "nonGeographicFlag": true, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59100/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59101/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59102/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59103/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59104/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59105/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59106/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59107/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59108/?format=api" ], "dataLineage": "Data were collected, quality controlled and prepared for archiving by the instrument scientist Dr Thomas Bannan before upload to the Centre for Environmental Data Analysis (CEDA) for long term archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/24873/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113549/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113544/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113546/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113547/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113548/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113550/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113552/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129600/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113543/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113545/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113551/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/27106/?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": 27108, "uuid": "bac3632d641642988c4abf55c587eed0", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): PASSIVE Product, Version 04.4", "abstract": "The Soil Moisture CCI PASSIVE dataset is one of the three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) CCI project. The product has been created by merging data from the SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS satellite instruments. ACTIVE and COMBINED products have also been created.\r\n\r\nThe v04.4 PASSIVE product presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. The product is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2018-06-30. It consists of global daily images stored within yearly folders and are NetCDF-4 classic file formatted. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Other additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project web site or within the Product Specification Document.\r\n\r\nThe data set should be cited using all three of the following references:\r\n\r\n1. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n2. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070\r\n\r\n3. Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014", "keywords": "ESA, CCI, PASSIVE", "publicationState": "published", "dataPublishedTime": "2019-04-30T13:51:23", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "superseded", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27109/?format=api", "dataPath": "/neodc/esacci/soil_moisture/data/daily_files/PASSIVE/v04.4/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 11688913361, "numberOfFiles": 14488, "fileFormat": "Data are in NetCDF-4 classic fomat" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7291/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50512/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52664/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52665/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54641/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54643/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54646/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54647/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54648/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54649/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54650/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54651/?format=api" ], "dataLineage": "Data were processed by the ESA CCI Soil Moisture project team and transferred to CEDA for the ESA CCI Open Data Portal Project. This dataset forms part of the v04.4 Soil Moisture dataset (doi:10.5285/dce27a397eaf47e797050c220972ca0e. http://dx.doi.org/10.5285/dce27a397eaf47e797050c220972ca0e)", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/13332/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/27112/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113553/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113555/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113556/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113557/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113558/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113560/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113554/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113562/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113561/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113563/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113564/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113565/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113566/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113567/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113568/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113569/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114478/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113570/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/27140/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2535/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_soilmoisture_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 27110, "uuid": "a341b3dcb0d8416498acc70dd14faa6e", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): COMBINED Product, Version 04.4", "abstract": "The Soil Moisture CCI COMBINED dataset is one of the three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) CCI project. The product has been created by directly merging Level 2 scatterometer and radiometer soil moisture products derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS satellite instruments. \r\n\r\nThe v04.4 COMBINED product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2018-06-30. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Other additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project web site or within the Product Specification Document.\r\n\r\nThe data set should be cited using all three of the following references:\r\n\r\n1. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n2. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070\r\n\r\n3. Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014", "keywords": "ESA, Soil Moisture, CCI, COMBINED", "publicationState": "published", "dataPublishedTime": "2019-04-30T13:55:28", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "superseded", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27111/?format=api", "dataPath": "/neodc/esacci/soil_moisture/data/daily_files/COMBINED/v04.4/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 14260545550, "numberOfFiles": 14488, "fileFormat": "Data are in NetCDF-4 classic format." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7345/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50512/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52664/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52665/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54641/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54643/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54646/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54647/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54648/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54649/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54650/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54651/?format=api" ], "dataLineage": "Data were processed by the ESA CCI Soil Moisture project team and transferred to CEDA for the ESA CCI Open Data Portal Project. This dataset forms part of the v04.4 Soil Moisture dataset (doi:10.5285/dce27a397eaf47e797050c220972ca0e. http://dx.doi.org/10.5285/dce27a397eaf47e797050c220972ca0e)", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/13332/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/27112/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113574/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113575/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113576/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113577/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113578/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113571/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113573/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113572/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113579/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113580/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113581/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113582/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113583/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113584/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113585/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113586/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113587/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114480/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113588/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/27141/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2535/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_soilmoisture_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 27113, "uuid": "dff5410043ee4d2094cdf3b9b5284a63", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Ancillary data used for the ACTIVE, PASSIVE and COMBINED products, Version 04.4", "abstract": "These ancillary datasets were used in the production of the ACTIVE, PASSIVE and COMBINED soil moisture data products, created as part of the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. The set of ancillary datasets include datasets of Average Vegetation Optical Depth data from AMSR-E, Soil Porosity, Topographic Complexity and Wetland fraction, as well as a Land Mask. This version of the ancillary datasets were used in the production of the v04.4 Soil Moisture CCI data.\r\n\r\nThe ACTIVE, PASSIVE and COMBINED soil moisture products which they were used in the development of are fusions of scatterometer and radiometer soil moisture products, derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS satellite instruments. To access these products or for further details on them please see their dataset records. Additional reference documents and information relating to them can also be found on the CCI Soil Moisture project website.\r\n\r\nSoil moisture CCI data should be cited using all three of the following references:\r\n\r\n1. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n2. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070\r\n\r\n3. Liu, Y.Y., Dorigo, W.A., Parinussa, R.M., de Jeu, R.A.M. , Wagner, W., McCabe, M.F., Evans, J.P., van Dijk, A.I.J.M. (2012). Trend-preserving blending of passive and active microwave soil moisture retrievals, Remote Sensing of Environment, 123, 280-297, doi: 10.1016/j.rse.2012.03.014", "keywords": "ESA, Soil Moisture, CCI, Ancillary", "publicationState": "published", "dataPublishedTime": "2019-04-30T14:00:52", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "superseded", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27114/?format=api", "dataPath": "/neodc/esacci/soil_moisture/data/ancillary/v04.4/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1558808, "numberOfFiles": 6, "fileFormat": "Data are in NetCDF format" }, "timePeriod": null, "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/12066/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52664/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52665/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54683/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54684/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54685/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60753/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60754/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63533/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63534/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63535/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63536/?format=api" ], "dataLineage": "Data were processed by the ESA CCI Soil Moisture project team and transferred to CEDA for the ESA CCI Open Data Portal Project. 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This utilised data derived from from various simulation output for the WCRP Coupled Model Intercomparison Project, Phase 5 (CMIP5) 'Historical' experiment. Similar datasets were produced using various model output from the WRCP CMIP5 'RCP45' and 'RCP85' experiments and the ECMWF ERA-Interim reanalysis model output, also available within the parent dataset collection.\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. 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This data was taken as part of the NERC funded project Taking forward the United Nations Environment Assembly (UNEA) resolution: Pilot to determine the air quality drivers for Sub-Saharan Africa (NE/P008453/1).\r\n\r\nThis pilot project, AQD-Nairobi, was designed to integrate low and high temporal resolution low-cost air quality (AQ) measurements to determine AQ drivers in Nairobi and be an exemplar scientific study for sub-Saharan Africa.", "keywords": "NE/P008453/1, Air Quality, Sub-Saharan Africa, Nairobi, AQD", "publicationState": "published", "dataPublishedTime": "2019-03-07T11:52:50", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27262/?format=api", "dataPath": "/badc/deposited2019/unea-air-quality/data/nh3", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 5296, "numberOfFiles": 2, "fileFormat": "Data are BADC CSV formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7306/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2367/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59267/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59269/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59270/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59271/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59272/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59291/?format=api" ], "dataLineage": "Data were collected by the project team and sent to the Centre for Environmental Data Anyalsis (CEDA) for archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/27196/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/27197/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113894/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113899/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113900/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113901/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113903/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113904/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113905/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113906/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113902/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168868/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113895/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113896/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113897/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113898/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/27371/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 27203, "uuid": "d2e07c380e0448389db72dce786e5340", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Brazil, Pará, Caxiuanã National Forest (CAX-A), October 2014", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Brazil, Pará, Caxiuanã National Forest. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firma, Substrate:Mixed, Geology: Pre-Quaternary,Forrestry: Old-growth.\r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy.", "keywords": "Terrestrial Laser Scanner, French Guiana, Cayenne, Nourague Nautre Reserve, Moisture type:\tMoist, Elevation: Lowland, Edaphic Type: Terra Firma, Substrate:Mixed, Geology: Pre-Quaternary, Forestry: Old-growth", "publicationState": "published", "dataPublishedTime": "2025-06-05T15:03:26", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27204/?format=api", "dataPath": "/neodc/tls/data/raw/brazil/CAX-A/2014-10-29.001.riproject/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 142503016371, "numberOfFiles": 4557, "fileFormat": "Scan folder contain a number of file formats CSV, ASCII, text, PNG , RXP and PAT" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7340/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2388/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Provided by Andrew Burt UCL to CEDA for publication", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/26683/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/26677/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30127/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30128/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113912/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113910/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113917/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113913/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113907/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113915/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113914/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113916/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113911/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113908/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113918/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114424/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113924/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/27255/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 27207, "uuid": "35e6cc3ca2314dcd8d627d85e6c01d46", "title": "Model data of sulphate aerosols, aerosol size distribution and radiative fluxes produced using different values of cloud-water pH", "abstract": "This dataset contains model output data on sulphate aerosols, aerosol size distributions and radiative fluxes produced from experiments that used different values of cloud-water pH. 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It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy.", "keywords": "Terrestrial Laser Scanner, Gabon Estuaire l'Arboretum Raponda , Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firma, Forrestry: Secondary, older.", "publicationState": "published", "dataPublishedTime": "2025-06-17T13:10:01", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27363/?format=api", "dataPath": "/neodc/tls/data/raw/gabon/MNG-04/2016-07-07.001.riproject", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 73793317135, "numberOfFiles": 2404, "fileFormat": "Scan folder contain a number of file formats CSV, ASCII, text, PNG , RXP and PAT" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7312/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2366/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Provided by Andrew Burt UCL to CEDA for publication", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/26683/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/26677/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30127/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30128/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113974/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113969/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113972/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113979/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113978/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113980/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113977/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113976/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113973/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113970/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113975/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114429/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113982/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/27257/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 27270, "uuid": "061fc7fd1ca940e7ad685daf146db08f", "title": "University of Bath: King Edward Point Skiymet meteor radar data (2016-2020)", "abstract": "The University of Bath's meteor radar located at the King Edward Point Magnetic Observatory (KEP, 54.2820 S, 36.4930 W) on South Georgia island in the South Atlantic , is an all-sky VHF (Very High Frequency) meteor radar commercially produced Skiymet system. It has been operational since 2016 providing meteor detection and derived wind data in support of the NERC funded South Georgia Wave (SG-WEX) and DRAGON-WEX: The Drake Passage and Southern Ocean Wave Experiments (see linked Project records for further details).\r\n\r\nThe radar detects radio scatter from the ionised trails of individual meteors drifting with the winds of the upper mesosphere, mesopause and lower thermosphere. A low-gain transmitter antenna is used to provide broad illumination of the sky. An array of five receiver antennas act as an interferometer to determine the azimuth and zenith angles of individual meteor echoes. Doppler measurements from each meteor determine the radial drift velocity and the meteor is assumed to be a passive tracer of atmospheric flow. The radar typically detects of order a few thousand meteors per day. These observations can be used to determine zonal and meridional winds in the mesosphere, mesopause and lower thermosphere at heights of about 80 – 100 km and with height and time resolutions of ~ 3 km and 2 hours.\r\n\r\nThe radar produces daily “meteor position data” data files (mpd files) recording the details of each individual meteor echo. In normal operation a few thousand individual meteors are detected per day. See parameter list for details of available data.\r\n\r\nRecordings are made for each individual meteor detected allowing measurements of zonal and meridional wind speeds in the mesosphere and lower thermosphere to be obtained. Meteor count rates vary diurnally and with season, but are usually up to a few thousand meteors per day.", "keywords": "meteor radar, mesosphere", "publicationState": "citable", "dataPublishedTime": "2019-06-03T13:22:04", "doiPublishedTime": "2021-05-10T14:27:15.245881", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27268/?format=api", "dataPath": "/badc/meteor-radars/data/king-edward-point/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1313621784, "numberOfFiles": 3355, "fileFormat": "Data are ASCII formatted. 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Meteor detection and derived wind data from this instrument are available from 2005. These were collected in support of a number of research projects - see linked Project records for further details.\r\n\r\nThe radar detects radio scatter from the ionised trails of individual meteors drifting with the winds of the upper mesosphere, mesopause and lower thermosphere. A low-gain transmitter antenna is used to provide broad illumination of the sky. An array of five receiver antennas act as an interferometer to determine the azimuth and zenith angles of individual meteor echoes. Doppler measurements from each meteor determine the radial drift velocity and the meteor is assumed to be a passive tracer of atmospheric flow. The radar typically detects of order a few thousand meteors per day. These observations can be used to determine zonal and meridional winds in the mesosphere, mesopause and lower thermosphere at heights of about 80 – 100 km and with height and time resolutions of ~ 3 km and 2 hours.\r\n\r\nThe radar produces daily “meteor position data” data files (mpd files) recording the details of each individual meteor echo. In normal operation a few thousand individual meteors are detected per day. See parameter list for details of available data.\r\n\r\nRecordings are made for each individual meteor detected allowing measurements of zonal and meridional wind speeds in the mesosphere and lower thermosphere to be obtained. Meteor count rates vary diurnally and with season, but are usually up to a few thousand meteors per day.\r\n\r\nNote - there are additional data from 20040728 in the archive. No other data were obtained between that date and the start date for the dataset (20050212). The start date of 20050212 has been chosen in order to avoid potential confusion about missing data prior to that date.", "keywords": "meteor radar, mesosphere", "publicationState": "published", "dataPublishedTime": "2019-06-03T13:22:23", "doiPublishedTime": null, "updateFrequency": "daily", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27272/?format=api", "dataPath": "/badc/meteor-radars/data/rothera/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 11244499234, "numberOfFiles": 14795, "fileFormat": "Data are ASCII formatted. 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The system was operational from October 2001 to June 2011, albeit with some gaps in the data coverage, in support of a number of research projects - see linked Project records for further details. Meteor detection and derived wind data from this instrument were collected in support of a number of research projects - see linked Project records for further details.\r\n\r\nThe radar detects radio scatter from the ionised trails of individual meteors drifting with the winds of the upper mesosphere, mesopause and lower thermosphere. A low-gain transmitter antenna is used to provide broad illumination of the sky. An array of five receiver antennas act as an interferometer to determine the azimuth and zenith angles of individual meteor echoes. Doppler measurements from each meteor determine the radial drift velocity and the meteor is assumed to be a passive tracer of atmospheric flow. The radar typically detects of order a few thousand meteors per day. These observations can be used to determine zonal and meridional winds in the mesosphere, mesopause and lower thermosphere at heights of about 80 – 100 km and with height and time resolutions of ~ 3 km and 2 hours.\r\n\r\nThe radar produces daily “meteor position data” data files (mpd files) recording the details of each individual meteor echo. In normal operation a few thousand individual meteors are detected per day. See parameter list for details of available data.\r\n\r\nRecordings are made for each individual meteor detected allowing measurements of zonal and meridional wind speeds in the mesosphere and lower thermosphere to be obtained. Meteor count rates vary diurnally and with season, but are usually up to a few thousand meteors per day.", "keywords": "meteor radar, mesosphere", "publicationState": "published", "dataPublishedTime": "2019-06-03T13:21:23", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27275/?format=api", "dataPath": "/badc/meteor-radars/data/ascension/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2317630317, "numberOfFiles": 4526, "fileFormat": "Data are ASCII formatted. 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The system has been operational from March 2008, providing meteor detection and derived wind data. Note, however, that there have been with some significant gaps in the data coverage. The data have been produced in support of a number of research projects - see linked Project records for further details.\r\n\r\nMeteor detection and derived wind data from this instrument are available from July 2000 to June 2018. These were collected in support of a number of research projects - see linked Project records for further details.\r\n\r\nThe radar detects radio scatter from the ionised trails of individual meteors drifting with the winds of the upper mesosphere, mesopause and lower thermosphere. A low-gain transmitter antenna is used to provide broad illumination of the sky. An array of five receiver antennas act as an interferometer to determine the azimuth and zenith angles of individual meteor echoes. Doppler measurements from each meteor determine the radial drift velocity and the meteor is assumed to be a passive tracer of atmospheric flow. The radar typically detects of order a few thousand meteors per day. These observations can be used to determine zonal and meridional winds in the mesosphere, mesopause and lower thermosphere at heights of about 80 – 100 km and with height and time resolutions of ~ 3 km and 2 hours.\r\n\r\nThe radar produces daily “meteor position data” data files (mpd files) recording the details of each individual meteor echo. In normal operation a few thousand individual meteors are detected per day. See parameter list for details of available data.\r\n\r\nRecordings are made for each individual meteor detected allowing measurements of zonal and meridional wind speeds in the mesosphere and lower thermosphere to be obtained. Meteor count rates vary diurnally and with season, but are usually up to a few thousand meteors per day.", "keywords": "meteor radar, mesosphere", "publicationState": "published", "dataPublishedTime": "2019-06-03T13:21:33", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27277/?format=api", "dataPath": "/badc/meteor-radars/data/bear-lake-observatory/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3242218157, "numberOfFiles": 5231, "fileFormat": "Data are ASCII formatted. 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It was operated by the University of Bath from October 1999 to October 2015 - albeit with some gaps in the data coverage. In October 2015, Esrange took over operation of the radar. Meteor detection and derived wind data from this instrument are available from July 2000 to June 2018. These were collected in support of a number of research projects - see linked Project records for further details.\r\n\r\nThe radar detects radio scatter from the ionised trails of individual meteors drifting with the winds of the upper mesosphere, mesopause and lower thermosphere. A low-gain transmitter antenna is used to provide broad illumination of the sky. An array of five receiver antennas act as an interferometer to determine the azimuth and zenith angles of individual meteor echoes. Doppler measurements from each meteor determine the radial drift velocity and the meteor is assumed to be a passive tracer of atmospheric flow. The radar typically detects of order a few thousand meteors per day. These observations can be used to determine zonal and meridional winds in the mesosphere, mesopause and lower thermosphere at heights of about 80 – 100 km and with height and time resolutions of ~ 3 km and 2 hours.\r\n\r\nThe radar produces daily “meteor position data” data files (mpd files) recording the details of each individual meteor echo. In normal operation a few thousand individual meteors are detected per day. See parameter list for details of available data.\r\n\r\nRecordings are made for each individual meteor detected allowing measurements of zonal and meridional wind speeds in the mesosphere and lower thermosphere to be obtained. Meteor count rates vary diurnally and with season, but are usually up to a few thousand meteors per day.", "keywords": "meteor radar, mesosphere", "publicationState": "published", "dataPublishedTime": "2019-06-03T13:22:51", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27281/?format=api", "dataPath": "/badc/meteor-radars/data/esrange/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 5288830837, "numberOfFiles": 9756, "fileFormat": "Data are ASCII formatted. See linked documentation." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7318/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2293/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27550/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27551/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27552/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27555/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27556/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27557/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27558/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27559/?format=api" ], "dataLineage": "Data from the instrument are produced by the instrument's SKiYCORR analysis programme before being collected by Genesis Software, the instrument manufacturer, who then supplied the data to the Centre for Environmental Data Analysis (CEDA) for long-term archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/27206/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/27261/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/27264/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/27265/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/27266/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/27283/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114090/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114092/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114094/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114095/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114093/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114087/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114088/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114089/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114091/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114096/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/27282/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 27286, "uuid": "235c7abace54467f84a680e8322a1b40", "title": "Southern OceaN optimal Approach To Assess the carbon state, variability and climatic drivers (SONATA): Atmospheric carbon dioxide, oxygen and atmospheric potential oxygen data from the Cap San Lorenzo container ship 2018", "abstract": "This dataset contains atmospheric carbon dioxide, oxygen and atmospheric potential oxygen data from the Cap San Lorenzo container ship. A Li-6252 CO2 analyser and Oxzilla II O2 analyser was used for measurement. The UK participation of Southern OceaN optimal Approach To Assess the carbon state, variability and climatic drivers (SONATA) was funded by the Natural Environment Research Council (NERC, grant: NE/P021360/1).", "keywords": "SONATA, Carbon dioxide, Oxygen, Ship", "publicationState": "published", "dataPublishedTime": "2019-02-28T15:58:32", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27287/?format=api", "dataPath": "/badc/sonata/data/cap-san-lorenzo", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 21026370, "numberOfFiles": 3, "fileFormat": "Data are BADC CSVF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7319/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2369/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58106/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58107/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58386/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59273/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59274/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59275/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59276/?format=api" ], "dataLineage": "Data were collected, quality controlled and prepared for archiving by the instrument scientists before upload to the Centre for Environmental Data Analysis (CEDA) for long term archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/26626/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/27293/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114108/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114109/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114110/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114111/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114112/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114113/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114115/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114114/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168872/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114116/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/27288/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 27294, "uuid": "7ad3d55c11614b49988bec9bee12d4bd", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Gabon Estuaire l'Arboretum Raponda Walkeron (MNG-03), August 2013", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Gabon Estuaire l'Arboretum Raponda Walker. The plot site had the following geographical features; Moisture type: Monodominant, Elevation: Lowland, Edaphic Type: Terra Firma, Forrestry: Secondary, older. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy.", "keywords": "Terrestrial Laser Scanner, Gabon Estuaire l'Arboretum Raponda , Moisture type: Monodominant, Elevation: Lowland, Edaphic Type: Terra Firma, Forrestry: Secondary, older.", "publicationState": "published", "dataPublishedTime": "2025-06-12T13:59:58", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27361/?format=api", "dataPath": "/neodc/tls/data/raw/gabon/MNG-03/2013-08-16.001.riproject/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 44323706604, "numberOfFiles": 4196, "fileFormat": "Scan folder contain a number of file formats CSV, ASCII, text, PNG , RXP and PAT" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7312/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2370/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Provided by Andrew Burt UCL to CEDA for publication", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/26683/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/26677/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30127/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30128/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114142/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114144/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114145/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114134/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114139/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114138/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114140/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114146/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114143/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114135/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114141/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114427/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/27362/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 27295, "uuid": "76a29c5b55204b66a40308fc2ba9cdb3", "title": "GloboLakes: Lake Surface Water Temperature (LSWT) v4.0 (1995-2016)", "abstract": "Global Observatory of Lake Responses to Environmental Change (GloboLakes) was a project funded by the Natural Environment Research Council (NERC) with the following grant references: NE/J023345/2, NE/J02211X/1, NE/J023396/1, NE/J021717/1 and NE/J022810/1. \r\n\r\nThis dataset contains the GloboLakes LSWT v4.0 of daily observations of Lake Surface Water Temperature (LSWT), its uncertainty and quality levels. The LSWTs are obtained by combining the orbit data from the AVHRR (Advanced Very High Resolution Radiometer) on MetOpA, AATSR (Advanced Along Track Scanning Radiometer) on Envisat and ATSR-2 (Along Track Scanning Radiometer) on ERS-2 (European Remote Sensing Satellite). The temperatures from the different instruments have been derived with the same algorithm and harmonised to insure consistency for the period 1995-2016. The GloboLakes LSWT v4.0 was produced by the University of Reading in 2018 for long term observations of surface water temperature for about 1000 lakes globally.\r\n\r\nThe dataset consist of two sets of files: 1) a single file per day on a 0.05° regular latitude- longitude grid covering the period from June 1995 to December 2016 (folder = daily), 2) a file per lake which contains the time series (daily) of the lake on a 0.05° regular grid (folder = per-lake). The list of the GloboLakes lakes is included as a CSV file and it contains name, GLWD identifier, coordinate of the lake centre and a set of coordinates that can be used to locate the lake in the daily-file dataset. The LSWTs consists of the daily observations of the temperature of the water (skin temperature). Uncertainty estimates and quality levels are provided for each value.", "keywords": "GloboLakes, Water, Temperature, LSWT, Lake, Surface", "publicationState": "citable", "dataPublishedTime": "2019-03-28T16:35:27", "doiPublishedTime": "2019-03-29T07:02:15", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27296/?format=api", "dataPath": "/neodc/globolakes/data/lake-surface-temp/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 126457928310, "numberOfFiles": 8541, "fileFormat": "Data are NetCDF formatted and a metadata file describing the lake ID's and locations that is BADC-CSV formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7320/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50561/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70129/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70130/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70131/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70132/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70133/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70134/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70135/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70136/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70137/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70138/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70139/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70140/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70141/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70142/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70143/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70144/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70145/?format=api" ], "dataLineage": "Data were processed by the University of Reading within the GloboLakes project 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/10505/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/12408/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30128/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30127/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114147/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114148/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114149/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114150/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114151/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114152/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114154/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114153/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168875/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114155/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/27298/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 27299, "uuid": "60d5d5e095024831a6f45e4febe4a95e", "title": "APHH: Meteorology and atmospheric chemistry measurements made at the Xibaidian, Beijing site during the summer and winter campaigns.", "abstract": "This dataset contains wind speed and direction, air temperature, relative humidity, barometric pressure, nitric oxide, nitric dioxide, nitric oxides, sulphur dioxide, carbon dioxide, ozone and pm2.5 based on a newly built-up rural site at Xibaidian, Pinggu district, Beijing in winter 2016 and summer 2017. The data were taken for the APHH-Beijing campaign for the Effects of air pollutions on cardiopulmonary disease in urban and peri-urban residents in Beijing (AIRLESS) project as part of the Atmospheric Pollution & Human Health in a Chinese Megacity (APHH) programme.\r\n\r\nInstruments were deployed on the roof of a one-story building in the far north end of a village, where most of the subjects resided nearby. Northern winds tend to bring relatively clean background air. In contrast, winds from the south are often contaminated by emissions from traffic and industries. \r\n\r\nThe following instruments were used:\r\n1. Meteorological parameter: TH16A meteorological station\r\n2. NOx: TEI 42 trace level chemiluminescence NOx Analyzer;\r\n3. SO2: Ecotech EC9850 Sulfur Dioxide Analyzer\r\n4. CO: Ecotech EC9830 Carbon Monoxide Analyzer\r\n5. O3: Ecotech EC9810 Ozone Analyzer\r\n6. PM2.5: Met One BAM 1020\r\n\r\nThe dataset was collected in Xibaidian, Pinggu district, Beijing for the Effects of air pollutions on cardiopulmonary disease in urban and peri-urban residents in Beijing (AIRLESS) project can provide ambient level of air pollutant in rural Beijing, enabling better understanding of the exposure level for local residents and potential examination for the related health effects.", "keywords": "APHH, AIRLESS, China, Meteorology, Chemistry", "publicationState": "published", "dataPublishedTime": "2019-02-28T12:54:33", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27300/?format=api", "dataPath": "/badc/aphh/data/beijing/ucl-met-chem", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 155910, "numberOfFiles": 2, "fileFormat": "Data are BADC-CSV formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7321/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2387/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54165/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54167/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54170/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59281/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59282/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59283/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59284/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59285/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59286/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59287/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59288/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59289/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/59290/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60664/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60665/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60666/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60667/?format=api" ], "dataLineage": "Data produced by APHH project participants at University College London and uploaded to 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/24808/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/24880/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/24817/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114160/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114159/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114167/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114161/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114162/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114164/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114165/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114166/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114163/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/27308/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 27309, "uuid": "d24ec272fc8e41b18e0eccc9a1b55c3d", "title": "Weighing trees with lasers project: terrestrial laser scanner data; Gabon Ogooué-Ivindo Lopé National Park (Plot LPG-01), August 2013", "abstract": "This dataset is comprised of raw data from the NERC-funded, full waveform terrestrial laser scanner (TLS) deployed at sites on three continents, multiple countries and plot locations which, have been re-surveyed at different times. This plot site was situated in Gabon Ogooué-Ivindo Lopé National Park. The plot site had the following geographical features; Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firma, Composition: Mixed, Forrestry: Old Growth. \r\n\r\nThe project scanned all trees in the permanent sample plot (PSP) spanning a range of soil fertility and productivity gradients (24 x 1 ha PSPs in total). The aim of the weighing trees with lasers project is to test if current allometric relationships are invariant across continents, or whether they differ significantly, and require continental level models; quantify the impact of assumptions of tree shape and wood density on tropical forest allometry; test hypotheses relating to pan-tropical differences in observed AGB (Above Ground Biomass) from satellite and field data. 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It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI (Global Ecosystem Dynamics Investigation Lidar) missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs (unmanned aerial vehicle) for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy.", "keywords": "Terrestrial Laser Scanner, data; Peru Madre De Dios Tambopata National Reserve , Moisture type: Moist, Elevation: Lowland, Edaphic Type: Terra Firme, Composition Mixed Forrest , Substrate Geology: Holocence, Forrestry: Old-growth", "publicationState": "published", "dataPublishedTime": "2025-06-17T13:29:51", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27359/?format=api", "dataPath": "/neodc/tls/data/raw/peru/TAM-09/2017-06-15.001.riproject/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 58879685833, "numberOfFiles": 2595, "fileFormat": "Scan folder contain a number of file formats CSV, ASCII, text, PNG , RXP and PAT" }, "timePeriod": null, "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2385/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Provided by Andrew Burt UCL to CEDA for publication", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/26683/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/26677/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30127/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30128/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114415/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114411/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114421/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114419/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114423/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114418/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114420/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114417/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114422/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114412/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114416/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114440/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/27360/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 27366, "uuid": "d40bf62899014582a72d24154a94d8e2", "title": "IASI retrieval of sulphur dioxide (SO2) column amounts and altitude, 2014-09 to 2015-02, version 1.0", "abstract": "This dataset contains global retrieval of sulphur dioxide (SO2) column amounts and altitudes derived from the Infrared Atmospheric Sounding Interferometer (IASI) instrument on the METOP-A satellite. The data have been produced by the University of Oxford as part of the NERC Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET). \r\n\r\nThis dataset has been produced using the Carboni et al. (2012,2016) retrieval algorithm for the Infrared Atmospheric Sounding Interferometer which retrieve column amount and altitude (together with a comprehensive error budget for every pixel) using simultaneously all the IASI channels between 1000–1200 and 1300–1410 cm−1. It has a global coverage and includes the six-month-long Holuhraun eruption, from September 2014 to February 2015, together with other events during the same periods such as: volcanic activity on the Kamchatka peninsula, Etna and Capo verde eruptions, anthropogenic SO2 emissions from China.\r\n\r\nThe data presents the results of the retrieval for every IASI 'plume' pixels (e.g. that result positive to the IASI SO2 detection) including: column amount (in Dobson Unit - DU), altitude (in millibar and successively converted in km using meteorological profile), surface temperature. It also includes quality control parameters and quality flags: for generic use we recommend using data with flag = 1. Quality control parameters available are: degree of freedom, cost function, convergence. These quality control paramenters are also summarized in two 'stricted' and 'relaxed' quality control flags. \r\n\r\nThis dataset also includes location of all IASI pixels in the same orbit (non plume pixel) to allow regridding and comparison with other instruments and models.", "keywords": "IASI, SO2, volcanic emissions, satellite observation,", "publicationState": "published", "dataPublishedTime": "2019-03-04T15:54:19", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27367/?format=api", "dataPath": "/neodc/iasi_so2_oxford/data/orbit-by-orbit/paper-sep14-sep15", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3797560623, "numberOfFiles": 2549, "fileFormat": "Data are NetCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7341/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2389/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/13238/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/21858/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/21859/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/21860/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/21863/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/21868/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/21872/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/21873/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/21877/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/21879/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52020/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52021/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52022/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52024/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52025/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52026/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52027/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52028/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52029/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52030/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52031/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52032/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52033/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52034/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52035/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52036/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52037/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52038/?format=api" ], "dataLineage": "These data were produced by the Earth Observation Data Group, Atmospheric, Oceanic and Planetary Physics, University of Oxford, as part of the NERC Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET). These data were then supplied to the Centre for Environmental Data Analysis (CEDA) to be archived.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/11687/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30127/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114451/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114447/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114448/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114449/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114450/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114452/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114445/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114446/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114453/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114454/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/25889/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 27374, "uuid": "cef0068506d0458f903bd79edbf9df31", "title": "AMUSED: Cosmic-ray soil moisture and other meteorological data from Sheepdrove Farm stations", "abstract": "This dataset contains standard meteorological data and soil moisture estimates from cosmic-ray neutron sensors taken from Sheepdrove Farm stations (2015-2018). This data was collected as part of the NERC project A MUlti-scale Soil moisture-Evapotranspiration Dynamics study (AMUSED), which aimed to identify the spatial/temporal scale-dependency of key dominant processes that control changes in soil moisture and land-atmosphere interactions.", "keywords": "AMUSED, meteorological, soil moisture, cosmic ray", "publicationState": "published", "dataPublishedTime": "2019-03-04T11:56:14", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27375/?format=api", "dataPath": "/badc/deposited2019/amused/data/soil-moisture", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 33415307, "numberOfFiles": 5, "fileFormat": "Data are ASCII formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7343/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2391/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were collected by Rafael Rosolem (AMUSED PI) and Joost Iwema (PhD, Bristol University) 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/27380/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114459/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114460/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114461/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114462/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114463/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114464/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114466/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114465/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168880/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114467/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114468/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/27377/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 27387, "uuid": "690f5b6bc2654efb92c763e8614ae0a7", "title": "PM2.5 and meteorology measurements taken from Temuco and Padre Las Casas, Chile", "abstract": "This dataset contains PM2.5 and meteorology measurements taken from Temuco and Padre Las Casas, Chile from June 2017 to July 2018. This data was collected for the NERC funded project Impact of Wood Burning Air Pollution on Preeclampsia and other Pregnancy Outcomes in Temuco which aimed to determine whether exposure to air pollutants (specifically PM2.5 and wood burning tracer) have an impact on preeclampsia and other pregnancy outcomes (low birth weight, birth weight, small of gestational age, preterm birth). The purpose of this data is to predict the spatio-temporal PM2.5 concentrations and wood tracers using land use regression models.\r\n\r\nThe campaign included sampling at 40 fixed sites in parallel with sampling at a central site located at a government monitoring station to control for background levels. Sites tried to maximize the spatial distribution of likely predictors such as number of residential dwellings, number of wood-stoves, PM2.5 concentrations and traffic impact. Two-weeks PM2.5 samples were collected at each site and repeated in 4 sessions covering a whole year. Samples were analyzed for mass and the wood-burning tracers levoglucosan and soluble potassium.", "keywords": "Air pollution, PM2.5, meteorology, Chile", "publicationState": "published", "dataPublishedTime": "2019-07-24T14:44:12", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27388/?format=api", "dataPath": "/badc/deposited2019/wood-burning/data/pm2.5", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 84869, "numberOfFiles": 2, "fileFormat": "Data are BADC-CSV formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7347/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2393/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52039/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52040/?format=api", 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NERC Mesosphere-Stratosphere-Troposphere radar facility site, Capel Dewi, near Aberystwyth, Ceredigion, Wales, between 13th February and 4th August 2009 as part of ongoing long term observations made by the NERC National Centre for Atmospheric Science (NCAS). These data were collected by the NCAS Atmospheric Measreument Facility's (AMF) 1290 MHz Mobile Wind Profiler, owned and operated by the University of Manchester and previously known as the aber-radar-1290mhz at the time of these observations. 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These data were collected by the NCAS Atmospheric Measurement Facility's (AMF) 1290 MHz Mobile Wind Profiler, owned and operated by the University of Manchester and previously known as the aber-radar-1290mhz at the time of these observations. The data are available at 15 minute intervals as netCDF files to all registered BADC users under the Open Government License.\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": "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", "dataPublishedTime": "2019-03-21T13:30:05", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "superseded", 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"https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52211/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52212/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83844/?format=api" ], "dataLineage": "Data were collected by the wind profiler before being processed by the instrument scientist, Emily Norton, and then provided to the BADC for archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/5407/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114608/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114609/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114610/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114611/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114613/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114614/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114615/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114612/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/5420/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 27423, "uuid": "b20f68b2ee0b42c5a135fe2589eb1afe", "title": "Vertical wind profile data from 16th February to 10th April 2017 measured by the University of Manchester 1290 mhz mobile wind profiler deployed on long term observations at Capel Dewi, Wales", "abstract": "Vertical profiles of horizontal and vertical wind components as well as signal-to-noise (SNR) and spectal width measurements were collected at the NERC Mesosphere-Stratosphere-Troposphere radar facility site, Capel Dewi, near Aberystwyth, Ceredigion, Wales, between 16th February and 10th April 2017 as part of ongoing long term observations made by the NERC National Centre for Atmospheric Science (NCAS). These data were collected by the NCAS Atmospheric Measurement Facility's (AMF) 1290 MHz Mobile Wind Profiler, owned and operated by the University of Manchester and previously known as the aber-radar-1290mhz at the time of these observations. The data are available at 15 minute intervals as netCDF files to all registered BADC users under the Open Government License.\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": "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": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "underDevelopment", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/42836/?format=api", "dataPath": "/badc/ncas-long-term/data/man-radar-1290mhz/20170216-20170410/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 0, "numberOfFiles": 0, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7359/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/107/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were collected by the wind profiler before being processed by the instrument scientist, Emily Norton, and then provided to the BADC for archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/25342/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114636/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114637/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114638/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114640/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114641/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114642/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114643/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114639/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/5411/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 27427, "uuid": "0b42715a7a804290afa9b7e31f5d7753", "title": "CMIP6 HighResMIP: Tropical storm tracks as calculated by the TRACK algorithm", "abstract": "These data are the tropical storm tracks calculated using the \"TRACK\" 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": "2019-05-28T09:14:34", "doiPublishedTime": null, "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27426/?format=api", "dataPath": "/badc/highresmip-derived/data/storm_tracks/TRACK", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 8137586880, "numberOfFiles": 257, "fileFormat": "The data are NetCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7378/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2394/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50561/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52279/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52280/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52281/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52282/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52283/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52284/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52285/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52286/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52287/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52288/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52289/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52292/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52293/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52294/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52295/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62645/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89203/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89204/?format=api" ], "dataLineage": "The data were passed from the project team to the Centre for Environmental Data Analysis for archival and distribution in March 2019.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/27422/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/38941/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/27425/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114654/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114655/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114656/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114657/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114658/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114660/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114661/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114663/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114659/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114662/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168774/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/27428/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 27429, "uuid": "57739af449414fb6a806fdc076192e38", "title": "Vertical wind profile data from 17th October 2017 to present measured by the University of Manchester 1290 mhz mobile wind profiler deployed on long term observations at Capel Dewi, Wales", "abstract": "Vertical profiles of horizontal and vertical wind components as well as signal-to-noise (SNR) and spectal width measurements were collected at the NERC Mesosphere-Stratosphere-Troposphere radar facility site, Capel Dewi, near Aberystwyth, Ceredigion, Wales, between 17th October 2017 to the present as part of ongoing long term observations made by the NERC National Centre for Atmospheric Science (NCAS). These data were collected by the NCAS Atmospheric Measurement Facility's (AMF) 1290 MHz Mobile Wind Profiler, owned and operated by the University of Manchester and previously known as the aber-radar-1290mhz at the time of these observations. The data are available at 15 minute intervals as netCDF files to all registered BADC users under the Open Government License.\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": "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": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "underDevelopment", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/42853/?format=api", "dataPath": "/badc/ncas-longterm-obs/data/man-radar-1290mhz/20171017-present", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1010, "numberOfFiles": 1, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7362/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/107/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were collected by the wind profiler before being processed by the instrument scientist, Emily Norton, and then provided to the BADC for archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/25342/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114668/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114669/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114670/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114671/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114673/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114674/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114675/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114672/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/5411/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 27435, "uuid": "af13038e9caf499482a9bbb0b8fca2b8", "title": "BACI: System State Vector (SSV) land surface time series dataset for the European regional site, 2000-2015, v1.0", "abstract": "The BACI Surface State Vector (SSV) dataset for Europe provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified.", "keywords": "BACI, TOWARDS A BIOSPHERE ATMOSPHERE CHANGE INDEX, State Surface Vector, Europe, albedo, mircrowave, backscatter", "publicationState": "citable", "dataPublishedTime": "2019-11-14T12:35:16", "doiPublishedTime": "2020-01-30T17:13:33.056428", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/29899/?format=api", "dataPath": "/neodc/baci_ssv/data/v1.0/regional_sites/13_europe/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 739351549216, "numberOfFiles": 1287, "fileFormat": "netCDF version 4" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8136/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2548/?format=api", "nonGeographicFlag": false, "phenomena": [ 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"aced40d7cb964f23a0fd3e85772f2d48", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Level 4 Analysis Climate Data Record, version 2.0", "abstract": "This v2.0 SST_cci Level 4 Analysis Climate Data Record (CDR) provides a globally-complete daily analysis of sea surface temperature (SST) on a 0.05 degree regular latitude-longitude grid. It combines the orbit data from the Advanced High Resolution Radiometer (AVHRR) and Along Track Scanning Radiometer (ATSR) SST_cci Climate Data Records, using a data assimilation method to provide SSTs where there were no measurements. These data cover the period between 09/1981 and 12/2016.\r\n\r\nThe dataset has been produced as part of the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project(ESA SST_cci). The data products from SST CCI accurately map the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified SSTs to a quality suitable for climate research.\r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ .", "keywords": "SST, ESA Climate Change Initiative", "publicationState": "citable", "dataPublishedTime": "2019-08-02T21:47:49", "doiPublishedTime": "2019-08-22T12:25:04", "updateFrequency": "notPlanned", "status": "superseded", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27448/?format=api", "dataPath": "/neodc/esacci/sst/data/CDR_v2/Analysis/L4/v2.0/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 210043354685, "numberOfFiles": 12907, "fileFormat": "Data are in NetCDF format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7397/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50561/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66257/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66259/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68037/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68038/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83836/?format=api" ], "dataLineage": "Data were processed by the ESA CCI SST project team and supplied to the Centre for Environmental Data Analysis (CEDA) for archiving in the context of the ESA CCI Open Data Portal project and the National Centre for Earth Observation (NCEO).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10578/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/11008/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/11005/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30128/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114743/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114741/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114742/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114747/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114750/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114740/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114752/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114745/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114744/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114749/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115381/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/27591/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2523/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_sst_terms_and_conditions_v2.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 27450, "uuid": "fb629f940ef84efba012e7e29c831d66", "title": "Sentinel 1A C-band Synthetic Aperture Radar: Wave (WV) mode Ocean (OCN) Level 2 data, Instrument Processing Facility (IPF) v2", "abstract": "This dataset contains Level-2, Wave mode (WV) Ocean (OCN) C-band Synthetic Aperture Radar (SAR) data from the European Space Agency (ESA) Sentinel 1A satellite. Level-2 data consists of geolocated geophysical products derived from Level-1. \r\n\r\nFrom WV modes, the OCN product will only contain Ocean Swell Spectra (OSW) and Surface Radial Velocity (RVL). \r\n\r\nThe OSW component is a two-dimensional ocean surface swell spectrum and includes an estimate of wind speed and direction per swell spectrum. The OSW component provides continuity measurement of SAR swell spectra at C-band. OSW is estimated from Sentinel-1 SLC images by inversion of the corresponding image cross-spectra.\r\n\r\nThe OSW is generated from Stripmap and Wave modes only and is not available from the TOPSAR IW and EW modes. For Stripmap mode, there are multiple spectra derived from the Level-1 SLC image. For Wave mode, there is one spectrum per vignette.\r\n\r\nOcean wave height spectra are provided in units of m4 and given on a polar grid of wavenumber in rad/m and direction in degrees with respect to North.\r\n\r\nThe OSW product also contains one estimate of the wind speed in m/s and direction in degrees (meteorological convention) per ocean wave spectrum, as well as parameters derived from the ocean wave spectra (integrated wave parameters) and from the imagette (image statistics).\r\n\r\nThe spatial coverage of the OSW product is equal to the spatial coverage of the corresponding Level-1 WV SLC or Level-1 SM SLC product, limited to ocean areas.\r\n\r\nThe RVL surface radial velocity component is a ground range gridded difference between the measured Level-2 Doppler grid and the Level-1 calculated geometrical Doppler. The RVL component provides continuity of the ASAR Doppler grid. The RVL estimates are produced on a ground-range grid.\r\n\r\nThe Level-2 Doppler is computed on a grid similar to the OWI component grid and provides an estimate of the Doppler frequency and the Doppler spectral width. For TOPS, one grid is provided by swath (additional dimension in the NetCDF). The uncertainties of the estimates are also provided for both the Doppler and radial velocity. The Doppler frequency and the Doppler spectral width are estimated based on fitting the azimuth spectral profile of the data to the antenna model taking into account additive noise, aliasing, and sideband effects. The Doppler frequency provided in the product is the pure Doppler frequency estimated from the SLC data without correcting for geometry and mispointing errors.\r\n\r\nSentinel 1A was launched on 3rd April 2014 and provides continuous all-weather, day and night imaging radar data. These data are available via CEDA to any registered CEDA user.", "keywords": "Sentinel, radar, Synthetic Aperture Radar, SAR, Wave, WV, OCN", "publicationState": "published", "dataPublishedTime": "2023-05-04T10:45:26", "doiPublishedTime": null, "updateFrequency": "asNeeded", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27451/?format=api", "dataPath": "/neodc/sentinel1a/data/WV/L2_OCN/IPF_v2/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 884996602213, "numberOfFiles": 182686, "fileFormat": "Data are provided in SAFE format. With the data products inside the SAFE zip in NetCDF." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9001/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data collected and prepared by European Space Agency (ESA). Downloaded from the Collaborative Hub for use by CEDA users.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/12321/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30129/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/12314/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114762/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114756/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114758/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146219/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114757/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114759/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114761/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114763/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114764/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114760/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146220/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/32791/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2586/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://sentinel.esa.int/documents/247904/690755/Sentinel_Data_Legal_Notice", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 27454, "uuid": "6027950b3f214818b661e4e11245b1a8", "title": "Hurricane Maria and Dominica: geomorphological change and infrastructure damage baseline surveys: Unmanned Aerial Vehicle (UAV) data processed using Structure from Motion", "abstract": "Topographical and orthophotograph data sets created using Structure from Motion (SfM) from Unmanned Aerial Vehicle (UAV) data, presented as Orthophotographs (image and world file), Digital Surface Models (DSM) (image and world file), and point clouds (LAS format) using EPSG 32620 projection. The data was collected at selected sites on Dominica, Caribbean in January/February 2018 as part of a NERC funded project (NE/RO16968/1) to conduct geomorphological change and infrastructure damage baseline surveys following hurricane Maria. The data was flown using either a DJI Phantom 3 or 4, as indicated by the file name. If the file name includes 'NoGCP' in the file name the data uses the internal GPS and altitude of the DJI UAV. This means the data is not positionally accurate in absolute terms and should not be used in direct comparison to other georeferenced data. If the file name includes 'GCP' then the data was georeferenced using ground control derived from UAV data provided by the University of Michigan. This data is deemed accurate in absolute terms. (World Bank. 2018 Aug 31; Geotechnical Engineering Research Report(UMGE-2018/01))", "keywords": "UAV, UAS, hurricane, Structure from Motion, Maria", "publicationState": "citable", "dataPublishedTime": "2019-04-05T13:44:25", "doiPublishedTime": "2019-04-05T14:00:01", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27455/?format=api", "dataPath": "/badc/deposited2019/dominica_post-maria_UAV/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 143585233877, "numberOfFiles": 254, "fileFormat": "Data are Jpeg, TIF and LAS formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7369/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2397/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data captured using DJI Phantom 3&4 in JPG format, lighting levels balanced in Adobe Lightroom CC Classic, processed using Agisoft PhotoScan 1.4 using version 6.2 of a Python script (https://github.com/gisportsmouth/PhotoScan-Automation-Script) developed for automatic processing of UAV data. The method involved using an automated gradual selection process. \r\nOutput in EPSG 32620.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10508/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/27456/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114783/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114778/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114779/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114780/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114781/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114782/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114784/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114777/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114785/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114786/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114787/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114788/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/27457/?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": 27460, "uuid": "2d9162f949e042adbdd6ec82c910ee5b", "title": "Theoretical uncertainties for three global satellite-derived burned area estimates", "abstract": "Estimated annual burned area and uncertainties for three global satellite-derived burned area products. Each estimate is provided at 1° spatial resolution for the years 2001-2013. Theoretical annual uncertainties in burned area (standard errors) products are generated according to a multiplicative triple collocation error model and annualised according to a sampling of the 16-day burned area estimates from each product. The approach provides unique uncertainties at 1° for the NASA Moderate Resolution Imaging Spectroradiometer (MODIS) Collection 6 burned area product (MCD64); the MODIS Collection 5.1 MCD45 product and the FireCCI50 product. Please note that due to limitations in the available sampling for the error model, around 40% of cells do not have uncertainty estimates.", "keywords": "biomass burning, forest fires", "publicationState": "citable", "dataPublishedTime": "2019-07-23T10:47:07", "doiPublishedTime": "2019-07-26T14:04:07.382780", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27461/?format=api", "dataPath": "/badc/deposited2019/ba_uncertainties/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 20243861, "numberOfFiles": 2, "fileFormat": "Data are NetCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7370/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2398/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6323/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6324/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/21859/?format=api" ], "dataLineage": "Data were produced by the project team before preparation and delivery for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10538/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/27462/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114805/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114800/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114801/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114802/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114803/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114804/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114806/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114799/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114807/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114808/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114809/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/27463/?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": 27467, "uuid": "b33ec61670644124ab4af661009ec507", "title": "Sentinel 5P: Methane (CH4) Total Column level 2 data", "abstract": "This dataset contains level 2 (geolocated) total column Methane (CH4) data from the TROPOspheric Monitoring Instrument (TROPOMI) aboard the Sentinel 5P satellite.\r\n\r\nSentinel 5 Precursor (S5P) was launched on the 13th October 2017 carrying TROPOMI. Methane (CH4) is an important atmospheric trace gas for our understanding of tropospheric chemistry. TROPOMI aims at providing CH4 column concentrations with high sensitivity to the Earth’s surface, good spatiotemporal coverage, and sufficient accuracy to facilitate inverse modeling of sources and sinks. TROPOMI uses absorption information from the Oxygen-A Band (760nm) and the SWIR spectral range to monitor CH4 abundances in the Earth's atmosphere.\r\n\r\nThe Sentinel-5 Precursor mission flies in loose formation (about 3.5 – 5 minutes behind) with the S-NPP (SUOMI-National Polar-orbiting Partnership) mission to use VIIRS (Visible Infrared Imaging Radiometer Suite) cloud information to select cloud-free TROPOMI pixels for high quality methane retrieval.", "keywords": "Sentinel, Methane, CH4, TROPOMI", "publicationState": "published", "dataPublishedTime": "2022-11-14T15:12:40", "doiPublishedTime": null, "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27468/?format=api", "dataPath": "/neodc/sentinel5p/data/L2_CH4/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2084217313363, "numberOfFiles": 69939, "fileFormat": "These data are in NetCDF format." }, "timePeriod": 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Downloaded from the Collaborative Hub for use by CEDA users.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/12321/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30129/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/26459/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114826/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114823/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145843/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114824/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114825/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114827/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114829/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114830/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114831/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114828/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/27471/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2586/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://sentinel.esa.int/documents/247904/690755/Sentinel_Data_Legal_Notice", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 27469, "uuid": "19a97e70e5a848ddaebac0243ff41684", "title": "Sentinel 5P: Sulphur Dioxide (SO2) Total Column level 2 data", "abstract": "This dataset contains total column Sulphur Dioxide (SO2) data from the TROPOspheric Monitoring Instrument (TROPOMI) aboard the Sentinel 5P satellite. \r\n\r\nSentinel 5 Precursor (S5P) was launched on the 13th October 2017 carrying the TROPOspheric Monitoring Instrument (TROPOMI). The TROPOMI instrument is a nadir-viewing, imaging spectrometer covering wavelength bands between the ultraviolet and the shortwave infrared. The instrument uses passive remote sensing techniques to attain its objective by measuring, at the Top Of Atmosphere (TOA), the solar radiation reflected by and radiated from the earth.\r\n\r\nSulphur dioxide (SO2) enters the Earth’s atmosphere through both natural and anthropogenic processes. It plays a role in chemistry on a local and global scale and its impact ranges from short-term pollution to effects on climate. Only about 30% of the emitted SO2 comes from natural sources; the majority is of anthropogenic origin. SO2 emissions adversely affect human health and air quality. SO2 has an effect on climate through radiative forcing, via the formation of sulphate aerosols. Volcanic SO2 emissions can also pose a threat to aviation, along with volcanic ash. S5P/TROPOMI samples the Earth’s surface with a revisit time of one day with an unprecedented spatial resolution of 3.5 x 7 km which allows the resolution of fine details including the detection of much smaller SO2 plumes.\r\n\r\nBesides the total column of SO2, enhanced levels of SO2 are flagged within the products. The recognition of enhanced SO2 values is essential in order to detect and monitor volcanic eruptions and anthropogenic pollution sources. Volcanic SO2 emissions may also pose a threat to aviation, along with volcanic ash.", "keywords": "Sentinel, Sulphur Dioxide, SO2, TROPOMI", "publicationState": "published", "dataPublishedTime": "2022-11-07T16:22:35", "doiPublishedTime": null, "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27470/?format=api", "dataPath": "/neodc/sentinel5p/data/L2_SO2/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 32365621856509, "numberOfFiles": 66506, "fileFormat": "These data are in NetCDF format." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7138/?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/55535/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66547/?format=api", 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The samples were taken at 185m and analysed by Aerosol Mass Spectrometer (AMS) at Keck-Carbon Cycle AMS facility, University of California, Irvine.\r\n\r\nThis data was collected as part of the NERC GAUGE (Greenhouse gAs UK and Global Emissions) project (NE/K002449/1NERC and TRN1028/06/2015). The GAUGE project aimed to produce robust estimates of the UK Greenhouse Gas budget, using new and existing measurement networks and modelling activities at a range of scales. 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The model uses a hybrid σ-p or σ-θ vertical coordinate and has an option to run at different horizontal resolution forced by different meteorological reanalysis. Tracer transport uses the conservation of the second order moments scheme of Prather. 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It was developed as part of the NERC project Iodide in the ocean:distribution and impact on iodine flux and ozone loss (NE/N009983/1), which aimed to quantify the dominant controls on the sea surface iodide distribution and improve parameterisation of the sea-to-air iodine flux and of ozone deposition.\r\n\r\nThis dataset is the output used in the published paper 'A machine learning based global sea-surface iodide distribution' ( https://doi.org/10.5194/essd-2019-40) \r\n\r\nThe main ensemble prediction (\"Ensemble_Monthly_mean \") is provided in a NetCDF file as a single variable (1). A second file (2) is provided which includes all of the predictions and the standard deviation on the prediction.\r\n(1) predicted_iodide_0.125x0.125_Ns_Just_Ensemble.nc\r\n(2) predicted_iodide_0.125x0.125_Ns_All_Ensemble_members.nc\r\n\r\nFor ease of use, this output has been re-gridded to various commonly used atmosphere and ocean model resolutions (see table SI table A5 in paper). These re-gridded files are included in the folder titled \"regridded_data\".\r\n\r\nAdditionally, a further file (3) is provided including the prediction made included data from the Skagerak dataset. As stated in the paper referenced above, it is recommended to use the use the core files (1,2) or their re-gridded equivalents.\r\n\r\n(3) predicted_iodide_0.125x0.125_All_Ensemble_members.nc\r\n\r\nAs new observations are made, this global data product will be updated through a \"living data\" model. The dataset versions follow semantic versioning (https://semver.org/) This dataset contains the first publicly released version v0.0.1 and supersedes the pre-review dataset named v0.0.0, Please refer to the paper referenced above for the current version number and information on this.\r\n\r\nUpdates for v0.0.1 vs. v0.0.0\r\n- Additional files included of the core data re-gridded for 0.5x0.5 degree and 0.25x0.25 degree horizontal resolution.\r\n- Minor updates were applied to all metadata in NetCDF files.\r\n- Updates were made to coordinate grids used for regriding files from 1x1 degree to 4x5 degree.", "keywords": "NE/N009983/1, Iodide, sea-surface, ozone deposition, iodine emission, Ocean, Model, NERC", "publicationState": "citable", "dataPublishedTime": "2019-04-30T09:27:27", "doiPublishedTime": "2019-04-30T09:28:26", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27479/?format=api", "dataPath": "/badc/deposited2019/sea-surface-iodide/data/v0.0.1/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 13401448237, "numberOfFiles": 14, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7275/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2335/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50416/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52192/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52193/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70164/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70165/?format=api" ], "dataLineage": "Data sent to the Centre for Environmental Data Analysis for archiving from the project participants.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10515/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/27022/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/27480/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114866/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114868/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114865/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114863/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114861/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114864/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114867/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114862/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168883/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114869/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114870/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114871/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114872/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114873/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/27024/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 27483, "uuid": "eb3f1419034c42109e14ab94f4320f0c", "title": "GAUGE: Carbon Dioxide measurements taken from Mace Head Tower", "abstract": "This dataset contains measurements of enrichment of 14C in carbon dioxide in air taken from the sampling tower at Mace Head Observatory. The samples were taken at 185m and analysed by Aerosol Mass Spectrometer (AMS) at Keck-Carbon Cycle AMS facility, University of California, Irvine.\r\n\r\nThis data was collected as part of the NERC GAUGE (Greenhouse gAs UK and Global Emissions) project (NE/K002449/1NERC and TRN1028/06/2015). The GAUGE project aimed to produce robust estimates of the UK Greenhouse Gas budget, using new and existing measurement networks and modelling activities at a range of scales. It aimed to integrate inter-calibrated information from ground-based, airborne, ferry-borne, balloon-borne, and space-borne sensors, including new sensor technology.", "keywords": "GAUGE, CO2, Tower, Carbon Dioxide", "publicationState": "published", "dataPublishedTime": "2019-05-09T10:45:22", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27485/?format=api", "dataPath": "/badc/gauge/data/tower/macehead", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 14955, "numberOfFiles": 2, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7373/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/508/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1050/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1635/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1636/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/23087/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/23088/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/23089/?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/12409/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/12404/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114902/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114903/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114904/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114905/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114906/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114907/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114908/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114911/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114901/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114909/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114910/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/27484/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 27486, "uuid": "1d76c5f6007648f8b81c37cbcb62024a", "title": "Advanced Very High Resolution Radiometer (AVHRR) - Level 0 data from NEODAAS Dundee Satellite Receiving Station", "abstract": "The Advanced Very High Resolution Radiometer (AVHRR) is a broad-band, four to six-channel (depending on the model) scanner, sensing in the visible, near-infrared, and thermal infrared portions of the electromagnetic spectrum. This sensor is carried on the National Oceanic and Atmospheric Administration's (NOAA's) Polar Orbiting Environmental Satellites (POES), beginning with TIROS-N in 1978.\r\n\r\nAVHRR provides day and night imaging of land, water, and clouds as well as measurements of sea surface temperature, ice snow, and vegetation cover.\r\n\r\nNEODAAS (NERC Earth Observation Data Acquisition and Analysis Service) Dundee Satellite Receiving Station retrieved data from the NOAA satellites and initially published the products. The data were transferred to CEDA when the Dundee Satellite Receiving Station (NEODAAS Dundee node) facility was closed to continue the long term archive.", "keywords": "AVHRR, Radiometer", "publicationState": "published", "dataPublishedTime": "2020-09-22T12:22:35", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27578/?format=api", "dataPath": "/neodc/avhrr_dundee/data/Level_0/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 9560503697698, "numberOfFiles": 235544, "fileFormat": "Data are provided in RAW format, from the NEODAAS Dundee satellite receiving station." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7375/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data from the NOAA AVHRR instruments were collected by the NEODAAS Dundee Satellite Receiving Station. 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The SAF network complements the product-oriented activities at the EUMETSAT Central Facility in Darmstadt. The main purpose of the LSA SAF is to take full advantage of remotely sensed data, particularly those available from EUMETSAT sensors, to measure land surface variables, which will find primarily applications in meteorology (http:/lsa-saf.eumetsat.int)\r\n.\r\nThe spin-stabilised Meteosat Second Generation (MSG) has an imaging-repeat cycle of 15 minutes. 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The variables are provided on a 0.5 deg latitude x 0.5 deg longitude grid, the grid is near global but excludes Antarctica (this is same as the CRU TS grid, though the set of variables is different) . The data are available at a 6 hourly time-step from January 1901 to December 2018.\r\n\r\nThe dataset is constructed by combining data from the Japanese Reanalysis data (JRA) produced by the Japanese Meteorological Agency (JMA) and adjusted where possible to align with the CRU TS 4.03 data (see the Process section and the ReadMe file for full details).\r\n\r\nThe CRU JRA data consists of the following ten meteorological variables: 2-metre temperature, 2-metre maximum and minimum temperature, total precipitation, specific humidity, downward solar radiation flux, downward long wave radiation flux, pressure and the zonal and meridional components of wind speed (see the ReadMe file for further details).\r\n\r\nThe CRU JRA dataset is intended to be a replacement of the CRU NCEP forcing dataset. The CRU JRA dataset follows the style of Nicolas Viovy's original CRU NCEP dataset rather than that which is available from UCAR. A link to the CRU NCEP documentation for comparison is provided in the documentation section. \r\n\r\nIf this dataset is used in addition to citing the dataset as per the data citation string users must also cite the following:\r\n\r\nHarris, I., Jones, P.D., Osborn, T.J. and Lister, D.H. (2014), Updated\r\nhigh-resolution grids of monthly climatic observations - the CRU TS3.10\r\nDataset. International Journal of Climatology 34, 623-642.\r\n\r\nKobayashi, S., et. al., The JRA-55 Reanalysis: General Specifications and\r\nBasic Characteristics. J. Met. Soc. Jap., 93(1), 5-48\r\nhttps://dx.doi.org/10.2151/jmsj.2015-001", "keywords": "CRU, JRA, CRUJRA, atmosphere, earth science, climate", "publicationState": "published", "dataPublishedTime": "2019-06-04T15:13:00", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27496/?format=api", "dataPath": "/badc/cru/data/cru_jra/cru_jra_2.0/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 399316225261, "numberOfFiles": 1182, "fileFormat": "The data are provided as gzipped NetCDF files, with one file per variable, per year. Each file is approximately 330MB when compressed." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7376/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/513/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6811/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/8326/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/8332/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/10222/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/10223/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/10224/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/10225/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/10226/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/10227/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/10228/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/10229/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/10230/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11960/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/19309/?format=api" ], "dataLineage": "The CRU JRA data are produced by the Climatic Research Unit (CRU) at the University of East Anglia and are passed to the Centre for Environmental Data Analysis (CEDA) for long-term archival and distribution. This is the first formal release and was provided to CEDA in May 2019.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/6672/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/26851/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114928/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114929/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114930/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114931/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114932/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114934/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114935/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114933/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114937/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168498/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114936/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168499/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/27185/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 27492, "uuid": "d6768285fdc8408bbb9b02bb0f317774", "title": "CRU CY 4.03: Climatic Research Unit year-by-year variation of selected climate variables by country version 4.03 (Jan. 1901 - Dec. 2018)", "abstract": "The Climatic Research Unit (CRU) Country (CY) data version 4.03 dataset consists of ten climate variables for country averages at a monthly, seasonal and annual frequency; including cloud cover, diurnal temperature range, frost day frequency, precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, vapour pressure and potential evapotranspiration. This version uses the updated set of country definitions, please see the appropriate Release Notes.\r\n\r\nThis dataset was produced in 2019 by CRU at the University of East Anglia and extends the CRU CY4.02 data to include 2018. The data are available as text files with the extension '.per' and can be opened by most text editors.\r\n\r\nSpatial averages are calculated using area-weighted means. CRU CY4.03 is derived directly from the CRU time series (TS) 4.03 dataset. CRU CY version 4.03 spans the period 1901-2018 for 292 countries.\r\n\r\nTo understand the CRU CY4.03 dataset, it is important to understand the construction and limitations of the underlying dataset, CRU TS4.03. It is therefore recommended that all users read the Harris et al, 2020 paper and the CRU TS4.03 release notes listed in the online documentation on this record.\r\n\r\nCRU CY data are available for download to all CEDA users.", "keywords": "CRU, CRU CY, CY, climate", "publicationState": "citable", "dataPublishedTime": "2020-01-22T09:20:22", "doiPublishedTime": "2020-01-22T09:21:40", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27494/?format=api", "dataPath": "/badc/cru/data/cru_cy/cru_cy_4.03/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 50162999, "numberOfFiles": 2924, "fileFormat": "The CRU CY data are provided as text files with the extension \".per\", most text editors will open these files. See the linked file formats guide for more information." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7376/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/513/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "The Climatic Research Unit (CRU) CY data are derived directly from the CRU TS data, and version numbering is matched between the two datasets. The CRU CY data are produced by the CRU unit at the University of East Anglia and passed to the Centre for Environmental Data Analysis (CEDA) for long term archival and distribution. Previous releases of CRU CY include:\r\n\r\nCRU CY 4.03 data were passed to CEDA for archival and distribution by CRU in May 2019.\r\n\r\nCRU CY 4.02 data were passed to CEDA for archival and distribution by CRU in November 2018.\r\n\r\nCRU CY 4.01 data were passed to CEDA for archival and distribution by CRU in September 2017.\r\n\r\nCRU CY 4.00 data were passed to CEDA for archival and distribution by CRU in March 2017.\r\n\r\nCRU CY 3.24.01 data files supplied to CEDA for long term archival by CRU in January 2017.\r\n\r\nThe CRU CY 3.24 data were withdrawn by CRU and CEDA in January 2017 due to known issues with the data.\r\n\r\nCRU CY 3.24 data files supplied to CEDA for long term archival by CRU in October 2016.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10675/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/6672/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/27835/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114942/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114941/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114945/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114939/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114940/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114947/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114938/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114943/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114946/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114944/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168577/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168578/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114948/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/20388/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 27493, "uuid": "10d3e3640f004c578403419aac167d82", "title": "CRU TS4.03: Climatic Research Unit (CRU) Time-Series (TS) version 4.03 of high-resolution gridded data of month-by-month variation in climate (Jan. 1901- Dec. 2018)", "abstract": "The gridded Climatic Research Unit (CRU) Time-series (TS) data version 4.03 data are month-by-month variations in climate over the period 1901-2018, provided on high-resolution (0.5x0.5 degree) grids, produced by CRU at the University of East Anglia.\r\n\r\nThe CRU TS4.03 variables are cloud cover, diurnal temperature range, frost day frequency, potential evapotranspiration (PET), precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, and vapour pressure for the period January 1901 - December 2018.\r\n\r\nThe CRU TS4.03 data were produced using angular-distance weighting (ADW) interpolation. All version 4 releases used triangulation routines in IDL. Please see the release notes for full details of this version update. \r\n\r\nThe CRU TS4.03 data are monthly gridded fields based on monthly observational data 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. The NetCDF versions contain an additional integer variable, ’stn’, which provides, for each datum in the main variable, a count (between 0 and 8) of the number of stations used in that interpolation. The missing value code for 'stn' is -999.\r\n\r\nAll CRU TS output files are actual values - NOT anomalies.", "keywords": "CRU, CRU TS, atmosphere, earth science, climate", "publicationState": "citable", "dataPublishedTime": "2019-06-05T08:25:25", "doiPublishedTime": "2020-01-22T09:20:18", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27495/?format=api", "dataPath": "/badc/cru/data/cru_ts/cru_ts_4.03", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 34683770527, "numberOfFiles": 399, "fileFormat": "Data are provided in ASCII and NetCDF formats." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7376/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/513/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/19309/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52192/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52193/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56250/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56251/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56252/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56253/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56254/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56255/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56256/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56257/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56258/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/61269/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63011/?format=api" ], "dataLineage": "The CRU TS data are produced by the Climatic Research Unit (CRU) at the University of East Anglia and are passed to the Centre for Environmental Data Analysis (CEDA) for long-term archival and distribution. Previous releases of the CRU TS data include:\r\n\r\nCRU TS 4.03 was provided to CEDA for archival in May 2019. \r\n\r\nCRU TS 4.02 was provided to CEDA for archival in December 2018. \r\n\r\nCRU TS 4.01 was provided to CEDA for archival in September 2017. \r\n\r\nCRU TS 4.00 was provided to CEDA for archival in March 2017. \r\n\r\nCRU TS 3.24.01 was provided to CEDA for archival in January 2017. This is the latest version available and is a replacement of the withdrawn dataset 3.24, it supersedes all previous data versions (which are available to allow user comparisons)\r\n\r\nCRU TS 3.24 was provided to CEDA for archival in July 2016. This is the latest version available, superseding all previous data versions (which are available to allow user comparisons), v3.24 has been withdrawn.\r\n\r\nCRU TS 3.23 was provided to CEDA in October 2015 by CRU. This is the latest version available, superseding all previous data versions (which are available to allow user comparisons).\r\n\r\nCRU TS 3.22 was provided to CEDA for archival in July 2014 by CRU.\r\n\r\nCRU TS 3.21 was provided to CEDA for archival in July 2013 by CRU.\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 3.10.01 In 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 3.00 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", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10674/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/6672/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/27513/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114949/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114952/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114954/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114953/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114955/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114956/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114951/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114950/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114958/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114957/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130617/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114959/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148587/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168466/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/20388/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 27501, "uuid": "ac7b9d37e258418a9e814fd90a7f4aa5", "title": "Heinrich Stadial 1 (HS-1) Experiment", "abstract": "Modelling output by MPIOM, the ocean component of COSMOS Model. 0.2Sv freshwater perturbation in the North Atlantic Ocean based on LGM state.", "keywords": "", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7379/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2335/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were generated using the COSMOS Model at GR30 horizontal resolution in the ocean, in format of netCDF", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/12137/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204947/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204948/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204949/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204950/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204951/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204952/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/27500/?format=api", "permissions": [], "discoveryKeywords": [] }, { "ob_id": 27502, "uuid": "e73eda7e28b1468bb21a59c7aeeb446e", "title": "Last Glacial Maximum (LGM) Experiment", "abstract": "Modelling output by Max Planck Institute for Meteorology (MPIOM), the ocean component of COSMOS Model. An equilibrium state for LGM, forced by PMIP3 boundary conditions.", "keywords": "", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7381/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2398/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were generated using the COSMOS Model at GR30 horizontal resolution in the ocean, in format of netCDF.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/12137/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204969/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204970/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204971/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204972/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204973/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204974/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/27500/?format=api", "permissions": [], "discoveryKeywords": [] }, { "ob_id": 27505, "uuid": "802182ae6b184c7397f5a29ae75e4932", "title": "EUSTACE: Global daily air temperature combining surface and satellite data, with uncertainty estimates, for 1880-2015, v1.1", "abstract": "This dataset consists of a global daily analysis of surface air temperature for the whole Earth since 1880, based on combined information from satellite and in situ data sources, including uncertainty estimates. This is v1.1 of the EUSTACE global daily air temperature product. This is a shortened version compared to the v1.0 product, using an experimental version of the statistical model. \r\nThe data has been compiled as part of the European Union Horizon 2020 EUSTACE (EU Surface Temperature for All Corners of Earth) project. \r\n\r\nThis product provides global mean air temperature data on a regular lat-lon grid with a grid spacing of 0.25 degrees, and provides daily data from 1850 to 2015. Uncertainty estimates are also provided, with both a 'total' uncertainty, and an ensemble of 10 samples. The mean temperature data and uncertainty estimates provided are consistent across a broad range of space and time scales from daily 0.25° to multidecadal global averages. The coverage is significantly better than is available from station data alone, and covers land, ocean and ice areas.\r\n\r\nThis data has been derived using a statistical method to estimate air temperatures at all places and times. 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The data products from SST_cci accurately map the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified SSTs to a quality suitable for climate research.\r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ . \r\n\r\nWhen citing this dataset please also cite the associated data paper: Merchant, C.J., Embury, O., Bulgin, C.E., Block T., Corlett, G.K., Fiedler, E., Good, S.A., Mittaz, J., Rayner, N.A., Berry, D., Eastwood, S., Taylor, M., Tsushima, Y., Waterfall, A., Wilson, R., Donlon, C. 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The inlet height was then changed to 185 m above ground level. Two instruments (GC-RGA and GC-ECD) were decommissioned on 2018-03-13. The remaining two continue to operate. Two laser-based instruments have been used to measure CO2, CH4, N2O and CO from inlet heights of 54 m, 100 m, and 185 m above ground level. Due to the location of the site, far from strong sources of local pollution, measurements from this site can be 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 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, Tacolneston, trace gases", "publicationState": "published", "dataPublishedTime": "2019-09-04T10:07:30", "doiPublishedTime": null, "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27554/?format=api", "dataPath": "/badc/uk-decc-network/data/previous_versions/Tacolneston", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 711091031, "numberOfFiles": 120, "fileFormat": "NetCDF" }, "timePeriod": 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