Observation Collection List
Get a list of Collections objects. Collections have a 1:1 mapping with Observations.
### Available end points:
- `/observationcollections/` - Will list all Collections in the database
- `/observationcollections.json` - Will return all Collections in json format
- `/observationcollections/<object_id>/` - Returns Collections object with that id
### Available Methods:
- `GET`
- `HEAD`
### Available filters:
- `uuid`
- `title`
- `keywords`
- `discoveryKeywords`
- `publicationState`
### How to use filters:
- `/observationcollections/?uuid=ab4ca8d019d148f78afba1cd20872bdd`
- `/observationcollections.json?publicationState=citable`
GET /api/v2/observationcollections/?format=api&offset=600
{ "count": 947, "next": "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/?format=api&limit=100&offset=700", "previous": "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/?format=api&limit=100&offset=500", "results": [ { "ob_id": 26580, "uuid": "35829fb8a0f94cdea5859905bdae2e55", "title": "Model output described in the 1995 IPCC Second Assessment Report (IS92 scenarios), 30-year means", "abstract": "Data used in Climate Change 1995, the Second Assessment Report (SAR) of the United Nations Intergovernmental Panel on Climate Change (IPCC).\r\n\r\nSimulations of global climate models were run by various climate modelling groups coordinated by the World Climate Research Programme (WCRP) on behalf of the United Nations Intergovernmental Panel on Climate Change (IPCC).\r\nClimatology data calculated from global climate model simulations of experiments representative of IPCC Scenarios IS92 a and d.\r\nThe climatologies are 30-year averages. Climate anomalies are expressed relative to the period 1961-1990. The monthly climatology data covers the period from 1961-2100. The climatologies are of global scope and are provided on latitude-longitude grids.", "keywords": "IPCC, DDC, SAR, IS92, Climate Change", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2021-06-01T21:10:58", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/26588/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146590/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111705/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111707/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112654/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112656/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112657/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112658/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112655/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146589/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111706/?format=api" ] }, { "ob_id": 26581, "uuid": "d31ec9ec0411447e9056d14b6f941026", "title": "Data used in Climate Change 2001, the Third Assessment Report (TAR) of the United Nations Intergovernmental Panel on Climate Change (IPCC)", "abstract": "Data used in Climate Change 2001, the Third Assessment Report (TAR) of the United Nations Intergovernmental Panel on Climate Change (IPCC).\r\n\r\nSimulations of global climate models were run by various climate modelling groups coordinated by the World Climate Research Programme (WCRP) on behalf of the United Nations Intergovernmental Panel on Climate Change (IPCC).\r\nClimatology data calculated from global climate model simulations of experiments representative of Special Report on Emission Scenarios (SRES) scenarios: A1F, A1T, A1a, A2a, A2b, A2c, B1a, B2b.\r\nThe climatologies are 30-year averages. Climate anomalies are expressed relative to the period 1961-1990. The monthly climatology data covers the period from 1961-2100. The climatologies are of global scope and are provided on latitude-longitude grids.", "keywords": "IPCC, DDC, TAR, SRES, Climate Change", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2021-06-01T21:14:41", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/26585/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112662/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111708/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111710/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112659/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112660/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112661/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112663/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112664/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112665/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111709/?format=api" ] }, { "ob_id": 26582, "uuid": "3a9c171d7f1c4441ba8ffb9c2c22b81e", "title": "Model output described in the 2007 IPCC Fourth Assessment Report (AR4), 20 and 30 year climatologies", "abstract": "Data used in Climate Change 2007, the Fourth Assessment Report (AR4) of the United Nations Intergovernmental Panel on Climate Change (IPCC).\r\n\r\nSimulations of global climate models were run by various climate modelling groups coordinated by the World Climate Research Programme (WCRP) on behalf of the United Nations Intergovernmental Panel on Climate Change (IPCC).\r\nClimatology data calculated from global climate model simulations of experiments representative of Special Report on Emission Scenarios (SRES) scenarios: A1b, A2, B1, the commitment scenario experiment (COMMIT), the twentieth century experiment (20C3M), the pre-industrial control (PICTL) and the idealised experiments 1PCTO2X and 1PCTO4X.\r\nThe AR4 climatologies are 20-year averages, 30-year averages have also been calculated for comparison with the IPCC Third Assessment Report (TAR). The monthly climatology data covers the period from 1850-2100. The climatologies are of global scope and are provided on latitude-longitude grids.", "keywords": "IPCC, DDC, AR4, SRES, COMMIT, PICTL, 20C3M, 1PCTO2X, 1PCTO4X, Climate Change", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2021-06-01T21:13:33", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/26584/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130048/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130050/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130051/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111714/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130044/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130045/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130046/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130047/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130049/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111711/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111712/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111713/?format=api" ] }, { "ob_id": 26630, "uuid": "e302b4dd46f54dd5b2dceb374f390c4a", "title": "CMORPH precipitation estimates", "abstract": "This dataset collection contains 0.25 degree resolution 3-hourly and daily global Climate Prediction Center morphing method (CMORPH) precipitation data. CMORPH is the CPC Morphing technique which derives precipitation estimates from low orbiter satellite microwave observations.", "keywords": "CMORPH, rainfall, precipitation", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2018-10-12T16:05:19", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/26527/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26628/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111903/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111905/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111906/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111908/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111909/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111904/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204918/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/132768/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/111907/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168850/?format=api" ] }, { "ob_id": 26675, "uuid": "0e17fb6a4869482fa041f16687dcf496", "title": "Momentum budget and snow removal experiment model data from Dudh Kosh Valley, Himalaya", "abstract": "This dataset collection contains momentum budget and snow removal experiment model data from Dudh Koshi Valley in the Nepalese Himalaya. The Weather Research and Forecasting (WRF) model was run for two months, July 2013 and December 2014, to investigate the momentum budget components of the winds in the Dudh Koshi Valley. The two runs were repeated with the permanent snow and ice changed to rock. This data was collected as part of the Dynamical drivers of the local wind regime in a Himalayan valley project (NE/L002507/1).", "keywords": "Wind, Himalaya, WRF, momentum budget", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2018-11-07T10:31:04", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/26672/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26673/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/31930/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112211/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112212/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112213/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112215/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112216/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112217/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141128/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141129/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112214/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168859/?format=api" ] }, { "ob_id": 26677, "uuid": "ca0729ec30514a64a6ccd393eacff5f0", "title": "Weighing trees with lasers project: Terrestrial Laser Scanner data collection", "abstract": "This dataset collection 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. The terrestrial laser scanner (TLS) was able to scan 1000s of trees in tropical forests on three continents: including Amazonia, the Congo Basin and SE Asia. The laser data measured 3D tree volume and biomass non-destructively to within a few percent of the best current estimates, made by destructive harvesting and weighing.\r\n\r\nThe project scanned all trees in multiple permanent sample plots (PSPs) 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 from satellite and field data. It also aims to apply new knowledge to assessing retrieval accuracy of forthcoming ESA BIOMASS and NASA GEDI missions and providing calibration datasets; In addition to testing the capability of low-cost instruments to augment TLS data including: UAVs for mapping cover and canopy height; low-cost lidar instruments to assess biomass rapidly, at lower accuracy.", "keywords": "terrestrial laser scanner , raw data, wood density, forest", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/26423/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27203/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27212/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27256/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27294/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27309/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27312/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27315/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27319/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27325/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27328/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27331/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27334/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27342/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27345/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27346/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27349/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27352/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27355/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27358/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39481/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39484/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39487/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/44516/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/44524/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/44526/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/44535/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/44545/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/44547/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/44549/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204841/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112222/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112224/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112225/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112228/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112229/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112230/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112227/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112226/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112223/?format=api" ] }, { "ob_id": 26708, "uuid": "2e735f1e75844ede83f4af703214ad56", "title": "Simulations for the SAPRISE (South Asian PRecIpitation: A SEamless assessment) project", "abstract": "Simulations made using the HadGEM2 model in AMIP (atmosphere only) configuration for the SAPRISE (South Asian PRecIpitation: A SEamless assessment) project. The SAPRISE project investigates the impacts of aerosols on the South Asian Monsoon using historical simulations forced with anthropogenic aerosols i.e. sulphur dioxide, black carbon and biomass burning aerosols. The simulations cover the period from 1850-2000.", "keywords": "SAPRISE, South Asia, Monsoon, Rainfall, Precipitation, Aerosols, HadGEM2-ES, Historical", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2019-02-28T16:06:23", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/26710/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204857/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112373/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113254/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112368/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114443/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112372/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113252/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113253/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112367/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112369/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112370/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112371/?format=api" ] }, { "ob_id": 26801, "uuid": "1fcdc2b6eeaa4b7baa44a4126283ad6e", "title": "UKCP18 Derived Climate Model Projections for the UK", "abstract": "Derived climate model projections data produced as part of the UK Climate Projections 2018 (UKCP18) project. The data produced by the UK Met Office Hadley Centre provides information on changes in 21st century climate for the UK helping to inform adaptation to a changing climate. The derived climate model projections are estimated using a methodology based on time shift and other statistical approaches applied to a set of 28 projections comprising of 15 coupled simulations produced by the Met Office Hadley Centre, and 13 coupled simulations from CMIP5. The derived climate model projections exist for the RCP2.6 emissions scenario and for 2°C and 4°C global warming above pre-industrial levels.", "keywords": "UKCP18, UKCP, Climate, UK, Derived, Projections, GCM", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2019-09-16T08:00:00", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/26791/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26794/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26797/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112697/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112698/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112699/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112701/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204909/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112703/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112700/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204908/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112702/?format=api" ] }, { "ob_id": 26851, "uuid": "863a47a6d8414b6982e1396c69a9efe8", "title": "CRU JRA: Collection of CRU JRA forcing datasets of gridded land surface blend of Climatic Research Unit (CRU) and Japanese reanalysis (JRA) data.", "abstract": "This is a collection of the University of East Anglia Climatic Research Unit (CRU) Japanese Reanalysis (JRA) data. The CRU JRA data are 6-hourly, land surface, gridded time series of ten meteorological variables produced by the Climatic Research Unit (CRU) at the University of East Anglia (UEA), and is intended to be used to drive models.\r\n\r\nThe dataset is constructed by combining data from the Japanese Reanalysis data produced by the Japanese Meteorological Agency (JMA) and adjusted where possible to align with the CRU TS data (these 'ten meteorological variables' are not the same ten available from CRU TS).\r\n\r\nThe CRU JRA dataset is intended to be a replacement of the CRUNCEP forcing dataset. The CRU JRA dataset follows the style of Nicolas Viovy's original CRUNCEP dataset rather than that which is available from UCAR.", "keywords": "CRU, JRA, CRUJRA, atmosphere, earth science, climate", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2019-02-25T15:47:59", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/26978/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27491/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/31963/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32817/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38218/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40271/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/43093/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112756/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112754/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112755/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112749/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112746/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112743/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112744/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112751/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112752/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168490/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168491/?format=api" ] }, { "ob_id": 26862, "uuid": "4dc8450d889a491ebb20e724debe2dfb", "title": "HadUK-Grid gridded and regional average climate observations for the UK", "abstract": "This Dataset Collection contains a number of different versions of the HadUK-Grid dataset, each of which present a set of gridded climate variables extending from the present back to the 19th Century. The primary purpose of these data are to facilitate monitoring of the UK climate and research into climate variability, climate change, impacts and adaptation. The Met Office uses these data for operational monitoring of the UK's climate.\r\n\r\nThe data have been interpolated from meteorological station data onto a uniform grid at 1km by 1km resolution to provide complete and consistent coverage across the UK. The 1km data set has been regridded to different resolutions and regional averages to create a collection allowing for comparison to data from UKCP18 climate projections.\r\n\r\nA new version of HadUK-Grid is released each year. The latest version is v1.3.1.ceda, released in June 2025 and containing data up to the end of 2024. A summary of previous releases can be found below. Provisional data for more recent months can be found on the Met Office web site https://www.metoffice.gov.uk/hadobs/hadukgrid/.\r\n\r\nEach version comprises eight Datasets - gridded data at 1, 5, 12, 25 and 60 km resolution, plus three sets of area averages (UK countries, admin regions and river basins).\r\n\r\nThe earliest year of data varies by variable and has changed as more data are digitised. Currently the start years are:\r\n1836 (monthly rainfall)\r\n1884 (monthly max/mean/min air temperature)\r\n1891 (daily rainfall)\r\n1910 (monthly sunshine)\r\n1931 (daily max/min air temperature)\r\n1961 (monthly days of ground frost, relative humidity, mean sea level pressure and vapour pressure)\r\n1969 (monthly mean wind speed)\r\n1971 (monthly days of lying snow)\r\n\r\nThe grids are provided at daily (max/min air temperature and rainfall only), monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods.\r\n\r\nThe latest release has been created by the Met Office funded by the UK Department for Science, Innovation and Technology (DSIT).\r\n\r\nPrevious versions were created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project.\r\n\r\nFor all versions, the data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\".\r\n\r\nThe data are provided under Open Government Licence v3 (see each dataset for links to licence and associated citations to use).\r\n\r\nList of dataset versions (latest first) and key differences (each release also extends the dataset by one year):\r\n\r\nv1.3.1.ceda (1836-2024) - Daily temperature extended back to 1931 (from 1960). Historical data recovery has improved daily rainfall over Scotland for 1922-1945.\r\nv1.3.0.ceda (1836-2023) - Historical data recovery has improved daily rainfall over Scotland for 1945-1960.\r\nv1.2.0.ceda (1836-2022) - Monthly sunshine extended back to 1910 (from 1919). Incorporation of Rainfall Rescue v2.\r\nv1.1.0.0 (1836-2021) - Addition of climate averages for 1991-2020. Rainfall Rescue v1 dataset incorporated into the monthly rainfall grids which are extended back to 1836 (from 1862).\r\nv1.0.3.0 (1862-2020)\r\nv1.0.2.1 (1862-2019) - Monthly sunshine extended back to 1919 (from 1929). Historical data recovery has also improved monthly rainfall 1862-1910, daily rainfall 1891-1910 and monthly temperature 1900-1909. Correction to the grid definition for 12 km grid product to match the UKCP18 climate model products.\r\nv1.0.1.0 (1862-2018) - Addition of 5km data.\r\nv1.0.0.0 (1862-2017) - Initial release.\r\n\r\nSee the change log file for each version for further details.\r\n\r\nNote: The introduction of the '.ceda' suffix was done to highlight that CEDA is the source of these data files compared to other potential sources (e.g. the UKCP User Interface https://ukclimateprojections-ui.metoffice.gov.uk/ui/home) The data values are the same - it is the way the data are packaged that may differ between sources.\r\n\r\nEach version following the initial release is accompanied by change log files. These list new files in the version compared with the previous version plus summary totals of the number of files that remained the same, modified and removed. Links to these change logs are available in the 'Details/Docs' section of each dataset. Additionally, a summary change log file is provided which gives an overview of all changes to the data sources and processing methods since the initial release. This summary can be found in the 'Details/Docs' section below or via the individual datasets.\r\n\r\nThis collection supersedes the UKCP09 Dataset Collection and contains all datasets within the major version 1 release (i.e. v1.#.#.#). See Hollis et al. (2019; linked documentation) for details on the version numbering utilised.", "keywords": "Met Office, UKCP18, BEIS, Defra, land surface, climate observations, hadobs", "discoveryKeywords": [ 1138, 1141 ], "publicationState": "published", "dataPublishedTime": "2018-11-26T09:00:00", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/26863/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26871/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26874/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26877/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26880/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26883/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26886/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/28137/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/28138/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/28139/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/28140/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/28141/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/28142/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/28143/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/28144/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/31901/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/31902/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/31903/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/31904/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/31905/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/31906/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/31907/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/31908/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32984/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32985/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32986/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32987/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32988/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32989/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32990/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32991/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37207/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37208/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37209/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37210/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37211/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37212/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37213/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37214/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40125/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40126/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40127/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40128/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40129/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40130/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40131/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40132/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/42321/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/42322/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/42323/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/42324/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/42325/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/42326/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/42327/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/42328/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/44203/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/44204/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/44205/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/44206/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/44207/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/44208/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/44209/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/44210/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112813/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112814/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112815/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112817/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112819/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115301/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/119092/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112816/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112818/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/119007/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/118915/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/119008/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/119009/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/119010/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/119011/?format=api" ] }, { "ob_id": 26980, "uuid": "ce289ace73a045fcb4fb90813f0db8e3", "title": "CORDEX EUR Data from the Met Office Hadley Centre", "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the Europe Domain (EUR) produced by the Met Office Hadley Centre.\r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies.", "keywords": "CORDEX, Europe, EUR, EUR-44, EUR-44i, MOHC, Region 5", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2019-02-24T18:55:24", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/26975/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26976/?format=api" ], "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10209/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113211/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113212/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113214/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113215/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113216/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113217/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113271/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113220/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113219/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113218/?format=api" ] }, { "ob_id": 27050, "uuid": "625a38498f364f0caa04407fb85644b8", "title": "CORDEX EAS Data from the Met Office Hadley Centre", "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the East Asia Domain (EAS) produced by the Met Office Hadley Centre.\r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies.", "keywords": "CORDEX, EAS, EAS44, EAS44i, MOHC, East Asia, Region 7", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2019-02-24T18:54:54", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/27044/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27047/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113358/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113359/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113366/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113357/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113360/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113361/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113362/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113363/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113364/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113365/?format=api" ] }, { "ob_id": 27065, "uuid": "5723e4ef485748629a02cf8acbf48b75", "title": "CORDEX AUS Data from the Met Office Hadley Centre", "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the Australasia Domain (AUS) produced by the Met Office Hadley Centre.\r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies.", "keywords": "CORDEX, AUS, AUS44, AUS44i, MOHC, Australasia, Region 9", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2019-02-24T18:54:25", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/27058/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27063/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113411/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113413/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113414/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113415/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113416/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113417/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113420/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113412/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113418/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113419/?format=api" ] }, { "ob_id": 27112, "uuid": "dce27a397eaf47e797050c220972ca0e", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Version 04.4 data collection", "abstract": "Soil Moisture data (version 04.4) from the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. This dataset collection contains three surface soil moisture datasets, alongside ancilliary data products. The ACTIVE and PASSIVE products have been created by fusing scatterometer and radiometer soil moisture products respectively. In the case of the ACTIVE product, these have been derived from AMI-WS and ASCAT instruments and for the PASSIVE product from the instruments SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS. The COMBINED product is generated from the Level 2 active and passive instruments.. \r\n\r\nThe homogenized and merged products present a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. The products are provided as global daily images, in NetCDF-4 classic file format, the PASSIVE and COMBINED products covering the period (yyyy-mm-dd) 1978-11-01 to 2018-06-30 and the ACTIVE product covering 1991-08-05 to 2018-06-30. The soil moisture data for the PASSIVE and the COMBINED product are provided in volumetric units [m3 m-3], while the ACTIVE soil moisture data are expressed in percent of saturation [%]. For information regarding the theoretical and algorithmic base of the datasets, please see the Algorithm Theoretical Baseline Document (ATBD). Other additional documentation and information documentation relating to the datasets can also be found on the CCI Soil Moisture project web site or in the Product Specification Document.\r\n\r\nThe data set should be cited using the all 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\r\n\r\n4. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W.: Evolution of the ESA CCI Soil Moisture Climate Data Records and their underlying merging methodology, Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-21, in review, 2019.", "keywords": "ESA, Soil Moisture, CCI", "discoveryKeywords": [ 1138 ], "publicationState": "citable", "dataPublishedTime": "2019-04-30T13:47:04", "doiPublishedTime": "2019-05-06T10:03:18", "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/27092/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27108/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27110/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27113/?format=api" ], "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10516/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113594/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113589/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113590/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113591/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113592/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113593/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113595/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113596/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113598/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113597/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113599/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113600/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113601/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113602/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113603/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113604/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113605/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114479/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113606/?format=api" ] }, { "ob_id": 27127, "uuid": "4eba765330c84701880a4b27c5ebc18f", "title": "CORDEX NAM Data from the Met Office Hadley Centre", "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the North America Domain (NAM) produced by the Met Office Hadley Centre.\r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies.", "keywords": "CORDEX, NAM, NAM44, NAM44i, MOHC, Australasia, Region 3", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2019-02-24T18:53:29", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/27093/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27094/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113655/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113657/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113658/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113659/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113660/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113661/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113664/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113656/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113662/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113663/?format=api" ] }, { "ob_id": 27129, "uuid": "1cd669029af34dcd8fbb4b24bc46c9c1", "title": "CORDEX SAM Data from the Met Office Hadley Centre", "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the South America Domain (SAM) produced by the Met Office Hadley Centre.\r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies.", "keywords": "CORDEX, SAM, SAM44, MOHC, Australasia, Region 1", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2019-02-24T18:53:04", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/27096/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27148/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113666/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113668/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113669/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113670/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113671/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113672/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113675/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113667/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113673/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113674/?format=api" ] }, { "ob_id": 27131, "uuid": "035bf62d438044bba51659186465cffc", "title": "CORDEX ANT Data from the Met Office Hadley Centre", "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the Antarctica Domain (ANT) produced by the Met Office Hadley Centre.\r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies.", "keywords": "CORDEX, ANT, ANT44, MOHC, East Asia, Region 10", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2019-02-24T18:52:42", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/27115/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113677/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113679/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113680/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113681/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113682/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113683/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113686/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113678/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113684/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113685/?format=api" ] }, { "ob_id": 27136, "uuid": "9506d4a8097e4e1d8e11d322cf760448", "title": "CORDEX ARC Data from the Met Office Hadley Centre", "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the Arctic Domain (ARC) produced by the Met Office Hadley Centre.\r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies.", "keywords": "CORDEX, ARC, ARC-44, MOHC, East Asia, Region 11", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2019-02-24T18:52:18", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/27117/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113691/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113693/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113694/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113695/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113696/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113697/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113700/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113692/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113698/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113699/?format=api" ] }, { "ob_id": 27142, "uuid": "13631476324948598c34e84ce90a1363", "title": "CORDEX CAS Data from the Met Office Hadley Centre", "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the Central Asia Domain (CAS) produced by the Met Office Hadley Centre.\r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies.", "keywords": "CORDEX, CAS, CAS44, MOHC, Australasia, Region 8", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2019-02-24T18:51:45", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/27101/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113705/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113707/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113708/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113709/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113710/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113711/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113714/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113706/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113712/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113713/?format=api" ] }, { "ob_id": 27147, "uuid": "f9025ac0ca0f4a8da211d8a9dfca75db", "title": "CORDEX AFR Data from the Met Office Hadley Centre", "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the Africa Domain (AFR) produced by the Met Office Hadley Centre.\r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies.", "keywords": "CORDEX, Africa, AFR, AFR-44, AFR-44i, MOHC, Region 4", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2019-02-24T18:50:57", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/27143/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27144/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113737/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113746/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113743/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113738/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113739/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113740/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113741/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113742/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113744/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113745/?format=api" ] }, { "ob_id": 27163, "uuid": "a590f587d3b64ca28a367fa3c82554fb", "title": "CORDEX WAS Data from the Met Office Hadley Centre", "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the West Asia Domain (WAS) produced by the Met Office Hadley Centre.\r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies.", "keywords": "CORDEX, West Asia, WAS, WAS-44, WAS-44i, MOHC", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2019-02-24T18:50:18", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/27158/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27162/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113774/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113776/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113777/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113778/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113779/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113780/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113783/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113775/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113781/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113782/?format=api" ] }, { "ob_id": 27197, "uuid": "8710d8ef8d73419990cbf551afe667a1", "title": "Taking forward the United Nations Environment Assembly (UNEA) resolution air quality data for Sub-Saharan Africa", "abstract": "This dataset contains No2, NH3 air quality data measurements taken in from Mukuru in Nairobi using passive samplers. 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", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2019-03-07T11:51:10", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/27201/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27202/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113867/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113868/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113869/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113870/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113872/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113873/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113874/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113875/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113871/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168867/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113876/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113877/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113878/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113879/?format=api" ] }, { "ob_id": 27283, "uuid": "836daab8d626442ea9b8d0474125a446", "title": "University of Bath Skiymet meteor radar data collection", "abstract": "The University of Bath have operated a number of meteor radars in the northern and southern hemisphere since around 1999. These commercially produced Skiymet meteor radars are all-sky VHF (Very High Frequency) meteor radar systems. The various instruments have been operated by the University of Bath from October 1999 to present - albeit with some gaps in the data coverage. These were collected in support of a number of research projects - see linked Project records for further details.\r\n\r\nThe Skiymet 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. The key data parameters recorded for each meteor echo include:\r\n\r\n1. Date and time of the meteor detection \r\n2. Range to the meteor echo point \r\n3. Height of the meteor echo above the ground \r\n4. Radial drift velocity of the meteor echo and its uncertainty \r\n5. Zenith and azimuth angles of the meteor echo \r\n6. Ambiguity levels in the determined zenith and azimuth angles \r\n7. Decay time of the meteor echo \r\n8. Meteor echo power and S/N ratio\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", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2019-05-24T11:21:32", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/27270/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27271/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27274/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27276/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27280/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114102/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114100/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114101/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114103/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114104/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114105/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114106/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114099/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114107/?format=api" ] }, { "ob_id": 27293, "uuid": "ab029e4d61e94aaba2ecbf40779ad42d", "title": "Southern OceaN optimal Approach To Assess the carbon state, variability and climatic drivers (SONATA): Atmospheric carbon dioxide, oxygen and atmospheric potential oxygen", "abstract": "This dataset contains atmospheric carbon dioxide, oxygen and atmospheric potential oxygen data from the 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, SHIP, Oxygen, BAS, Antarctica, Halley", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2019-02-21T11:57:59", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/26620/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27286/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27548/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114132/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114122/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114123/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114127/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114128/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114129/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114121/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114125/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168874/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114133/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114130/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114131/?format=api" ] }, { "ob_id": 27425, "uuid": "e82a62d926d7448696a2b60c1925f811", "title": "CMIP6 HighResMIP: Tropical storm tracks", "abstract": "This collection of datasets hold the tropical storm tracks derived from the Coupled Model Intercomparison Project Phase 6 (CMIP6) HighResMIP model simulations obtained from the Earth System Grid Federation (ESGF). Different storm tracking algorithms are used to identify the storm tracks including TRACK (Hodges, K., et. al., 2017) and TempestExtremes (Ullrich and Zarzycki, 2017; Zarzycki and Ullrich, 2017).", "keywords": "CMIP6, HighResMIP, storm, tracking, tropical, cyclone, hurricane, typhoon", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2019-07-23T10:59:49", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/27427/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27580/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114644/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114645/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114646/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114647/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114648/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114650/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114651/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114652/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114649/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168773/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114653/?format=api" ] }, { "ob_id": 27434, "uuid": "1452fa13390549f5a6794840b948a8d1", "title": "Regularised optical, thermal and backscatter land surface System State Vector (SSV) time series data collection from the BACI ( Towards a Biosphere Atmosphere Change Index) project.", "abstract": "The BACI System State Vector datasets cover large regional sites in Europe, West, Eastern and Southern Africa in addition to smaller fast track sites in Denmark, Wytham Forest, Kruger National Park, Hainich, Viterbo, Romania, Slovenia, Ethiopia and Southern/Central/Northern Somalia. \r\n\r\nThe BACI datasets address one of main complications in combining different Earth Observation (EO) data streams is a requirement of common time and space resolution. These data are gap free time series, of EO data across optical (reflectance, albedo), passive microwave (LST) and active microwave (backscatter) domains. This collection contains optimally smoothed and filtered time series of reflectance, albedo and backscatter datasets, starting in 2000 and running to the present, as the core SSV output. \r\n\r\nCrucially, the SSV data is provided with consistent uncertainties, which is key for use in downstream quantitative modelling and change detection applications, particularly to help attribute and explain detected change. Changes in the Earth’s surface can have very different properties and so can influence very different domains of the electromagnetic spectrum. As a result these datasets are particularly useful for trying to detect changes in ecosystem structure and function, a potentially vital application for satellite monitoring of the Earth system.", "keywords": "BACI, Biodiversity, long time series, State Surface Vector, land surface temperature, backscatter, albedo, uncertainty", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2019-10-08T15:40:09", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/27435/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27436/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27437/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27444/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/29900/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/29902/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/29904/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/29906/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/29908/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/29910/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/29913/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/29915/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/29917/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/29919/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/29921/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204840/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129248/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129267/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129266/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114681/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204836/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204837/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204838/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204839/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129249/?format=api" ] }, { "ob_id": 27445, "uuid": "b3e807b8df824a8ca83468ce2e5b54e5", "title": "In situ observations of air-sea interaction processes from the Iceland Greenland seas Project (IGP)", "abstract": "This collection contains a range of in situ observations of meteorological and air-sea interaction processes from a range of instruments on several platforms (buoy, ship , radiosonde) from the Iceland Greenland seas Project (IGP). \r\n\r\n\r\nThe Iceland Greenland seas Project (IGP) was an international project involving the UK, US and Norwegian research communities. The UK component was funded by NERC, under the Atmospheric Forcing of the Iceland Sea (AFIS) project (NE/N009754/1)", "keywords": "IGP, AFIS, radiosonde, radiometer, buoy, HATPRO", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2019-05-29T13:15:49", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/26505/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26651/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/29983/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/31783/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/31878/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32159/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32473/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32478/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32482/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32531/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32535/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32539/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32543/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32547/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32551/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32555/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32563/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32567/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32571/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/34686/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/34692/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/34698/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37365/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40384/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114730/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114727/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114728/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114729/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114732/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140255/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140755/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114731/?format=api" ] }, { "ob_id": 27480, "uuid": "0e99091596b34b3b846c40134937fe91", "title": "Global predicted sea-surface iodide concentrations", "abstract": "This dataset collection contains global spatially predicted sea-surface iodide concentrations at a monthly resolution for the year 1970. 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\nAs new observations are made, this global data product will be continually added to and updated through a \"living data\" model. The datasets follows semantic versioning (https://semver.org/) and holds different versions of this. Please refer to the paper referenced for the current version number and information on this (see related documentation).", "keywords": "NE/N009983/1, Iodide, sea-surface, ozone deposition, iodine emission, Ocean, Model, NERC", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/27020/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27478/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114883/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114889/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114885/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114886/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114887/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114888/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114890/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114884/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168884/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114891/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114892/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114893/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114894/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114895/?format=api" ] }, { "ob_id": 27499, "uuid": "f5b38d1654d84b03ba79060746541e4f", "title": "UK DECC (Deriving Emissions linked to Climate Change) Network", "abstract": "This dataset collection consists of atmospheric trace gas observations made as part of the UK Deriving Emissions linked to Climate Change (DECC) Network. It includes core DECC Network measurements, funded by the UK Government Department for Energy Security and Net Zero (TRN1028/06/2015, TRN1537/06/2018, TRN5488/11/2021 and prj_1604) and through the National Measurement System at the National Physical Laboratory, supplemented by observations funded through other associated projects. \r\n\r\nThe core DECC network consists of five sites in the UK and Ireland measuring greenhouse and ozone-depleting gases. The four UK-based sites (Ridge Hill, Herefordshire; Tacolneston, Norfolk; Bilsdale, North Yorkshire; and Heathfield, East Sussex) sample air from elevated inlets on tall telecommunications towers. Mace Head, situated on the west coast of Ireland, samples from an inlet within 10 metres of ground level and is ideally situated to intercept baseline air from the North Atlantic Ocean. The measurement site at Weybourne, Norfolk, funded by the National Centre for Atmospheric Science (NCAS) and operated by the University of East Anglia, is also affiliated with the network. Mace Head and Weybourne data are archived separately - see links in documentation. Data from the UK DECC network are used to assess atmospheric trends and quantify UK emissions, and feed into other international research programs, including the Integrated Carbon Observation System (ICOS) and Advanced Global Atmospheric Gases Experiment (AGAGE) networks.", "keywords": "greenhouse gas, tall tower, uk-decc-network", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2020-04-09T11:38:16", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/27558/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27563/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27793/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41180/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/43147/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/43187/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/43618/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115295/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115297/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115299/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115300/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115294/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115296/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115298/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180007/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180009/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208796/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180014/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180018/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180013/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208797/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115291/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180015/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180010/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208798/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208799/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115292/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180008/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180012/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180017/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208800/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180016/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180011/?format=api" ] }, { "ob_id": 27513, "uuid": "3587430e588b491e8a795664466a27d1", "title": "Climatic Research Unit (CRU): Time-series (TS) datasets of variations in climate with variations in other phenomena v4", "abstract": "Time-series (TS) datasets are month-by-month variation in climate over the last century or so as produced by the Climatic Research Unit (CRU) at the University of East Anglia. These are calculated on high-resolution (0.5x0.5 degree) grids, which are based on an archive of monthly mean temperatures provided by more than 4000 weather stations distributed around the world. They allow variations in climate to be studied, and include variables such as cloud cover, diurnal temperature range, frost day frequency, precipitation, daily mean temperature, monthly average daily maximum temperature, vapour pressure, potential evapo-transpiration and wet day frequency.\r\n\r\nThe CRU TS data are monthly gridded fields based on daily values -hence the ASCII and netcdf files both contain monthly mean values for the various parameters.", "keywords": "", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2019-06-06T13:29:35", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/20372/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25066/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26858/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27493/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30263/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32804/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38103/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40300/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/43100/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115000/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115002/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115003/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115001/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115011/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115012/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115008/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115006/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115005/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115004/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115007/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115009/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115010/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115013/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168542/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168543/?format=api" ] }, { "ob_id": 27626, "uuid": "c7b218dddeed42a585792f521e448784", "title": "__MUST_UPDATE__20190729154734__ EUFAR11_04: in-situ airborne observations by the NERC ARSF Dornier Do228-101 D-CALM Aircraft aircraft", "abstract": "In-situ airborne observations by the NERC ARSF Dornier Do228-101 D-CALM Aircraft aircraft for HyMedEcos-Gradients - Hyperspectral monitoring of Mediterranean ecosystems: gradients of land degradation (EUFAR11_04).", "keywords": "EUFAR11_04, HYMEDECOS-GRADIENTS, aircraft, hyperspectral, remote sensing", "discoveryKeywords": [], "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/24587/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115462/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115464/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115465/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115466/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115467/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115468/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115469/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115463/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115470/?format=api" ] }, { "ob_id": 27633, "uuid": "f6f424ff804b434685e2913e5bd2f3b0", "title": "FIDUCEO: Collection of Climate data records from Earth Observations Satellites from the FIDUCEO (Fidelity and uncertainty in climate data records from Earth Observations) project", "abstract": "The Fidelity and Uncertainty in Climate data records from Earth Observations consists of new climate datasets from Earth Observation Satellites which have received rigorous treatment of uncertainty informed by the discipline of metrology. The collection datasets include Fundamental Climate Data Records (FCDRs) containing harmonised radiances and [Thematic] Climate Data Records (CDRs) for ensemble sea and lake surface temperature, tropospheric humidity, aerosol optical depth and surface albedo that are widely applicable and metrologically rigorous.\r\n\r\nThe archived FCDRs have a length relevant to climate (>20 years) and can support numerous CDRs. The selected CDRs illustrate new capabilities (e.g. equi-probable ensembles) as well as the benefiting from use of the new FCDRs, resulting in improved stability and traceable uncertainties. Specifically, the data collection contains: harmonised radiances (FCDRs) for the following sensors: Advanced Very High Resolution Radiometer (AVHRR), High Resolution Infrared Radiation Sounder (HIRS), Advanced Microwave Sounding Unit-B (AMSU-B), Microwave Humidy Sounder (MHS) and Meteosat Visible Infra-Red Imager (MVIR); and geophysical datasets with uncertainties.", "keywords": "FIDUCEO, H2020, Uncertainty, Earth Observation, Instrument calibration, climate data records, metrology, MVIIRI, AVHRR, HIRS, AMSU-B, MHS, sea surface temperature, lake surface temperature, tropospheric humidity, aerosol optical depth, surface albedo", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2019-08-21T11:09:23", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/26981/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26982/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27599/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27600/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27601/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27602/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27603/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27604/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27605/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27606/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27607/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115493/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115490/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115488/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115492/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115491/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115495/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115489/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115498/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/132769/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115497/?format=api" ] }, { "ob_id": 27726, "uuid": "fe8eaca1b26042caafd721c7c8333e82", "title": "NIALL: Chemical Ablation Model version 3 (CABMOD3) simulations and Meteoric Ablation Simulator (MASI) experiment data", "abstract": "This dataset collection contains Chemical Ablation Model version 3 (CABMOD3) simulations of metal ablation from meteoroids and Meteoric Ablation Simulator (MASI) sodium and nickel ablation experimental data.\r\n\r\nThis experiment was undertaken as part of Natural Environment Research Council (NERC) First study of the global Nickel and Aluminium Layers in the upper atmosphere (NIALL) project (NE/P001815/1). This project aimed to make the first ever study of Ni and Al chemistry in the mesosphere/lower thermosphere.", "keywords": "NIALL, MASI, experiment, LIF, Laser, CABMOD, meteoroids", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2019-09-06T14:49:50", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/27719/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27725/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115865/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115866/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115867/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115868/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115870/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115871/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115872/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115876/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115869/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168897/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115873/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115874/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115875/?format=api" ] }, { "ob_id": 27761, "uuid": "ad2ac0ddd3f34210b0d6e19bfc335539", "title": "UKCP18 Convection-Permitting Model Projections for the UK at 2.2km resolution", "abstract": "Climate model runs at convection-permitting scale for the UK for three time slices (1981-2000, 2021-2040, 2061-2080) produced by the Met Office for UK Climate Projections. The data is available on a 2.2km grid on a rotated pole at various temporal resolutions: hourly (for some variables), 3-hourly (for some variables), daily and longer averages. Additionally, the data has been regridded onto a 5km grid on the Ordnance Survey's British National Grid.\r\n\r\nNote that these data were updated during summer 2021, after the correction of a coding error relating to graupel. Full details can be found on the Met Office website, on the Project News page: https://www.metoffice.gov.uk/research/approach/collaboration/ukcp/ukcp18-project-news/index. The previous version of the data will be retained on CEDA for twelve months until 21st July 2022.", "keywords": "UKCP18, UKCP, Climate, UK, Simulations, CPM, Local, 2.2km", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2019-09-16T08:00:00", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/27763/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27766/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27769/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27772/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27775/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116012/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116013/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116014/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116016/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146876/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116018/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116015/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146875/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116017/?format=api" ] }, { "ob_id": 27791, "uuid": "00b5fc99f9384782976a4453b0148f49", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Version 4.0 Data", "abstract": "This collection contains version 4.0 datasets produced by the Ocean Colour project of the ESA Climate Change Inititative (CCI). The Ocean Colour CCI is producing long-term multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490 nm. Information on uncertainties is also provided.\r\n\r\nThis dataset collection refers to the Version 4.0 data products held in the CEDA archive covering the period 1997-2018. Links to the individual datasets that make up this collection are given in the record below.\r\n\r\nPlease note, this dataset has been superseded. Later versions of the data are now available.", "keywords": "ESA, Ocean Colour, CCI, ECV", "discoveryKeywords": [ 1138 ], "publicationState": "citable", "dataPublishedTime": "2019-11-27T16:38:17", "doiPublishedTime": "2019-11-27T17:15:57", "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/27797/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27798/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27799/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27800/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27801/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27802/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27803/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27804/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27805/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27806/?format=api" ], "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10664/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116109/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116110/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116111/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116112/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/118406/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116114/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204875/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204876/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116124/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/118407/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116117/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116118/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116927/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116119/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116928/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116929/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116930/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116931/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116932/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116115/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116123/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116125/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116126/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116128/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116129/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116130/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116131/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116133/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116135/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116933/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116136/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116137/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116138/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116152/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116153/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116154/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116176/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/116132/?format=api" ] }, { "ob_id": 27835, "uuid": "a5fc25a8153148b9872f24ab889f64a9", "title": "Climatic Research Unit (CRU): Year-by-Year Variation of Selected Climate Variables by CountrY (CY) v4", "abstract": "The CRU CY datasets consists of country averages at a monthly, seasonal and annual frequency, for ten climate variables in 289 countries. Spatial averages are calculated using area-weighted means. Variables include cloud cover (cld), diurnal temperature range (dtr), frost day frequency (frs), precipitation (pre), daily mean temperature (tmp), monthly average daily maximum (tmx) and minimum (tmn) temperature, vapour pressure (vap), Potential Evapo-transpiration (pet) and wet day frequency (wet). The CRU CY datasets produced by the Climatic Research Unit (CRU) at the University of East Anglia.\r\n\r\nSpatial averages are calculated using area-weighted means. CRU CY is derived directly from the CRU TS dataset and version numbering is matched between the two datasets. Thus, the first official version of CRU CY is v3.21, as it is based on CRU TS v3.21 (1901-2012) and the latest version of CRU-CY is v4.03, as it is based on CRU TS v4.03. The data are available as text files with the extension '.per' and can be opened by most text editors.\r\n\r\nTo understand the CRU-CY dataset, it is important to understand the construction and limitations of the underlying dataset, CRU TS. It is therefore recommended that all users read the paper referenced below (Harris et al, 2014).", "keywords": "CRU, CRU CY, climate, meteorology", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2019-10-04T13:46:00", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/20374/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/25065/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26860/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27492/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30262/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32803/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38216/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40346/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/43120/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117088/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117082/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117079/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117080/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117085/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117087/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117078/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117077/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117081/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117083/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117086/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117084/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117089/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168544/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168545/?format=api" ] }, { "ob_id": 27836, "uuid": "a9f7c9d7123b4c3f8e13382d66679d1a", "title": "Met Office Hadley centre global environment model version 2 (HadGEM2) AO Data", "abstract": "The HadGEM2 model is the Met Office Hadley centre global environment model version 2. The Atmospheric resolution of this model is 1.25 degrees latitude by 1.875 degrees with 38 levels (N96L38). The HadGEM2-AO model is a configuration of the HadGEM2 model which is an atmosphere ocean simulation with other component interfaces replaced with ancillary file input. Part of the UK Met Office Hadley Centre's contributions to the fifth assessment report of the IPCC (Intergovernmental Panel on Climate Change) was based on the HadGEM2 model. Specifically, this data were used for the ENSEMBLES EU FP7 project. These data are provided in the Met Office PP format, but tools are available to extract subsets in NetCDF and other formats.", "keywords": "", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/27837/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/28010/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/28012/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/28015/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/28030/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/28032/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/28034/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117093/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117092/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117090/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117096/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117097/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117098/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117095/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117091/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148549/?format=api" ] }, { "ob_id": 27849, "uuid": "c3f9945f1c1041f6a20b98940db27335", "title": "ARNA: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for FAAM Atmospheric Reactive Nitrogen Cycling over the Ocean (ARNA)", "keywords": "ARNA-1, ARNA, FAAM, airborne, atmospheric measurments", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2019-09-27T09:23:28", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/27848/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27851/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27853/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27855/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30150/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30153/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30155/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30157/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30159/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30161/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30163/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30165/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117167/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117159/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117160/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117166/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117158/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117163/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117164/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117165/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117161/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117162/?format=api" ] }, { "ob_id": 27869, "uuid": "92c6e73f70b54c4ea8eae0389e09f24e", "title": "HyVic: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for HYVIC FAAM Aircraft Project (HyVic).", "keywords": "HyVic, FAAM, airborne, atmospheric measurments", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2019-10-07T14:51:00", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/27868/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27871/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117270/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117262/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117263/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117269/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117261/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117266/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117267/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117268/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117264/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117265/?format=api" ] }, { "ob_id": 27881, "uuid": "e489099fb2844a1192036a6323238ef4", "title": "Zwamps: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for ZWAMPS FAAM Aircraft Project (Zwamps).", "keywords": "Zwamps, FAAM, airborne, atmospheric measurments", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2019-10-07T14:51:01", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/27880/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27883/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27885/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27887/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30617/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117333/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117325/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117326/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117332/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117324/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117329/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117330/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117331/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117327/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117328/?format=api" ] }, { "ob_id": 27906, "uuid": "28e3c9851c3144f9a0ea482f0ebef0af", "title": "AEOG-3: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for FAAM AEOG : Demonstration of Comprehensive Approach to monitoring atmospheric Emissions from Oil and Gas installations (AEOG-3).", "keywords": "AEOG-3, FAAM, airborne, atmospheric measurments", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2019-10-07T14:51:03", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/27905/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27908/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27910/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27912/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27914/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117463/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117455/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117456/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117462/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117454/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117459/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117460/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117461/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117457/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/117458/?format=api" ] }, { "ob_id": 28029, "uuid": "9ef0ebf847564c2eabe62cac4899ec41", "title": "ESA Sea Surface Salinity Climate Change Initiative (Sea_Surface_Salinity_cci): Version 1.8 data collection", "abstract": "These data comprise v1.8 of the Sea Surface Salinity (SSS) Essential Climate Variable (ECV) dataset produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) programme. The ESA CCI Sea Surface Salinity ECV data have been produced at a spatial resolution of 50 km and spatiallly resampled on a 25km EASE (Equal Area Scalable Earth) grid and a) with a time resolution of 1 week and 1 day of time sampling and b) a time resolution of 1 month and 15 days of time sampling.\r\n\r\nThis first version (v1.8) of the CCI+SSS products is a preliminary version issued for evaluation purposes by voluntary scientists and for framing future CCI+SSS products. This product has not been fully validated yet and may contain flaws. In case you discover some, the CCI Sea Surface Salinity project (Mngt_CCI-Salinity@argans.co.uk) are very keen to get your feedback. In case you would like to use them in a presentation or publication, please be aware of the following caveats:\r\n\r\nCAVEATS\r\n\r\n- The SSS random error in the weekly product is overestimated by a factor ~1.4. \r\n- The Number of outliers is wrongly set to 'NaN' in the case where it is equal to zero.\r\n- Products have not yet been not optimised for some issues encountered at high latitudes (i.e. remaining ice, RFI pollution, biases due to land-sea contamination and dielectric constant in cold waters).\r\n- The criteria for flagging data close to land (including islands) are conservative and likely to be too restrictive in places. \r\n- There is a systematic global underestimation (-0.08) of SSS starting at the beginning of the data set, and gradually disappearing at the end of 2010.\r\n- There is a seasonal varying bias (~0.1, peaking in the middle of the year) in the Pacific North of 25°N\".\r\n\r\nAcknowledgements: The authors thank the CCI+ SSS validation team, in particular S. Guimbard (ODL) and A. Martin (NOC), for their feedback on the products, R. Catany (ARGANS) for managing the project and P. Cipollini and C. Donlon (ESA) for their sound advice.", "keywords": "ESA, Sea Surface Salinity, CCI", "discoveryKeywords": [ 1138 ], "publicationState": "citable", "dataPublishedTime": "2019-11-21T16:39:29", "doiPublishedTime": "2019-11-25T09:45:52", "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/28123/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/28233/?format=api" ], "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10663/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/118031/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/118027/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/118028/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/118029/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/118030/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/118032/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/118044/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/118025/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/118045/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/118046/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/118047/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/118048/?format=api" ] }, { "ob_id": 28048, "uuid": "56c03beb2e11472d87d547ea53c95f51", "title": "Meteorological observations recovered by the Weather Rescue project", "abstract": "This dataset contains meteorological observations rescued by different phases of the Weather Rescue project. They include hourly observations taken on Ben Nevis and in the town of Fort William between 1883 and 1904, and observations from the UK, Ireland and mainland Europe recorded in the Met Office's Daily Weather Report from 1900-1910. Variables available include: atmospheric pressure, temperature, wind speed and rainfall.", "keywords": "Weather Rescue, meteorology, reports, Ben Nevis", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2019-10-24T12:34:12", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/27035/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/28050/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/118112/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/118121/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/118118/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/118114/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/118115/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/118116/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/118117/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/118119/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/118120/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/118113/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168797/?format=api" ] }, { "ob_id": 28110, "uuid": "001b9640fdb1453aa95a222ba423580e", "title": "Disdrometer Verification Network (DiVeN) data collection: particle diameter and fall velocity measurements from a UK-wide network of disdrometers and supporting measurements from Chilbolton", "abstract": "Starting in February 2017, a network of 14 Thies™ manufactured Laser Precipitation Monitors (LPMs) were installed at various locations around the United Kingdom to create the Disdrometer Verification Network (DiVeN). The instruments were installed for verification of radar hydrometeor classification algorithms but are valuable for much wider use in the scientific and operational meteorological community. See dataset for further details.\r\n\r\nThis collection not only holds the disdrometer data collected for the DiVeN project, but links to supporting observations from the Chilbolton Facility for Radio Research (CFARR) in Hampshire made use of by the project.", "keywords": "disdrometer, rainfall, precipitation, verification, hydrometeors", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2019-10-31T14:28:44", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/3482/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/3489/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/3531/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/3611/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27596/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/118330/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/118325/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/118326/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/118327/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/118328/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/118329/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/118332/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/118333/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/118324/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/118331/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/118334/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/118335/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/118336/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/118337/?format=api" ] }, { "ob_id": 28268, "uuid": "666320d5c4ac4b949a55695bfedf3958", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-ESM1 model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Beijing Climate Center (BCC) BCC-ESM1 model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, BCC, BCC-ESM1", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/28266/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/28270/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/28273/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/28276/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/28279/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/28281/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/28284/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/28654/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/28838/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/28844/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/28848/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/28851/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/28909/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/28912/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/28915/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/28918/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/33473/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/119335/?format=api", 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"https://api.catalogue.ceda.ac.uk/api/v2/observations/34152/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125169/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125170/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125171/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125172/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125173/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125176/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125177/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125178/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125175/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125174/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/166093/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/166094/?format=api" ] }, { "ob_id": 29262, "uuid": "388d8c06a1c8401480b38d400b333f96", "title": "WCRP CMIP6: Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-VHR4 model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Centro Euro-Mediterraneo per I Cambiamenti Climatici (CMCC) CMCC-CM2-VHR4 model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, CMCC, CMCC-CM2-VHR4", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/29260/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/31008/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/31011/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/34155/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/34158/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125195/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125196/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125197/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125198/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125199/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125202/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125203/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125204/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125201/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125200/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/166099/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/166100/?format=api" ] }, { "ob_id": 29266, "uuid": "1b6d2c8917a64b3f84bdc8e6fe818c9a", "title": "WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-ATM-HR model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-ATM-HR model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, IPSL, IPSL-CM6A-ATM-HR", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/29264/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125221/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125222/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125223/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125224/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125225/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125228/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125229/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125230/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125227/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125226/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/166105/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/166106/?format=api" ] }, { "ob_id": 29273, "uuid": "6fa760d4630e49e0b27a491a943694b1", "title": "WCRP CMIP6: the MIROC team NICAM16-7S model output collection", "abstract": "The the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the the MIROC team NICAM16-7S model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, MIROC, NICAM16-7S", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/29271/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125275/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125266/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125277/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125278/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125270/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125271/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125268/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125267/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125274/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125272/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125269/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/166115/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125276/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/166116/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125273/?format=api" ] }, { "ob_id": 29277, "uuid": "88fa0b25323b480b8d4370176b2333e7", "title": "WCRP CMIP6: the MIROC team NICAM16-8S model output collection", "abstract": "The the MIROC team team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI), Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the the MIROC team NICAM16-8S model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, MIROC, NICAM16-8S", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/29275/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125310/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125301/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125312/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125313/?format=api", 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Centre for Climate System Research - National Institute for Environmental Studies (CCSR-NIES) and Atmosphere and Ocean Research Institute (AORI).World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the the MIROC team NICAM16-9S model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, MIROC, NICAM16-9S", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/29279/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125345/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125336/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125347/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125348/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125340/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125341/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125338/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125337/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125344/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125342/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125339/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/166127/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125346/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/166128/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125343/?format=api" ] }, { "ob_id": 29285, "uuid": "9aae4919af514b28b8e057b8b765a55c", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-HM model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-HM model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, MOHC, HadGEM3-GC31-HM", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/29283/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/29287/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/29290/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/34182/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38645/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125368/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125369/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125370/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125371/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125372/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125375/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125376/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125377/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125374/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125373/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/166133/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/166134/?format=api" ] }, { "ob_id": 29301, "uuid": "214110e112b14fb684cc78dcc796ea45", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LM model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LM model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, MOHC, HadGEM3-GC31-LM", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/29299/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/34185/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125458/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125459/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125460/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125461/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125462/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125465/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125466/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125467/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125464/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125463/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/166155/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/166156/?format=api" ] }, { "ob_id": 29315, "uuid": "b7982906b1a34c4ea8beab7af74081f0", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, MPI-M, MPI-ESM1-2-HR", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/29313/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30800/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30803/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30806/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30809/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30812/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30956/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30959/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30962/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30965/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30968/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/31070/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/31073/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/34089/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/34092/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/34191/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/34194/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38582/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125538/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125539/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125540/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125541/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125542/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125545/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125546/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125547/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125544/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125543/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/166175/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/166176/?format=api" ] }, { "ob_id": 29319, "uuid": "5776217e2c2e4bd3b200165ce732bfbc", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-XR model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-XR model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, MPI-M, MPI-ESM1-2-XR", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/29317/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/31076/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/31079/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/34197/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/34200/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125564/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125565/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125566/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125567/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125568/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125571/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125572/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125573/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125570/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125569/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/166181/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/166182/?format=api" ] }, { "ob_id": 29323, "uuid": "c5c0b3bb82134f1a9285a0feecbfbba0", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-AGCM3-2-H model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-AGCM3-2-H model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, MRI, MRI-AGCM3-2-H", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/29321/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/29325/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125590/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125591/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125592/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125593/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125594/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125597/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125598/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125599/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125596/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125595/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/166187/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/166188/?format=api" ] }, { "ob_id": 29330, "uuid": "9bd7918d540849f4ad7ac5724e4d8e14", "title": "WCRP CMIP6: Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-AGCM3-2-S model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Meteorological Research Institute of the Japan Meteorological Agency (MRI) MRI-AGCM3-2-S model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, MRI, MRI-AGCM3-2-S", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/29328/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/29332/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125632/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125633/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125634/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125635/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125636/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125639/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125640/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125641/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125638/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125637/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/166197/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/166198/?format=api" ] }, { "ob_id": 29337, "uuid": "a5c58f5e41144a55b7c48373c3b038be", "title": "WCRP CMIP6: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4C192 model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM4C192 model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, NOAA-GFDL, GFDL-CM4C192", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/29335/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/31094/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/31097/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/31100/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125674/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125675/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125676/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125677/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125678/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125681/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125682/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125683/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125680/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/125679/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/166207/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/166208/?format=api" ] }, { "ob_id": 29487, "uuid": "11ee7caa7e65475f96c628dd3e532f87", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorESM1-F model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Norwegian Climate Centre (NCC) NorESM1-F model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, NCC, NorESM1-F", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/29485/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30869/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/126508/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/126509/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/126510/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/126511/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/126512/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/126515/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/126516/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/126517/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/126514/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/126513/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/166407/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/166408/?format=api" ] }, { "ob_id": 29875, "uuid": "f23c8a29c38c41908e6676b8a6e4c61d", "title": "WCRP CMIP6: Norwegian Climate Centre (NCC) NorCPM1 model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Norwegian Climate Centre (NCC) NorCPM1 model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, NCC, NorCPM1", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/28946/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/28947/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30860/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30863/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30866/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38585/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/128880/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/128881/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/128882/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/128883/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/128884/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/128887/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/128888/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/128889/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/128886/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/128885/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/166923/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/166924/?format=api" ] }, { "ob_id": 29893, "uuid": "585b29ba4a054760ac4e53e7d95290b9", "title": "SG-WEx: a collection of meteor radar observations, radiosondes and numerical modelling output over South Georgia", "abstract": "The NERC-funded South Georgia Wave EXperiment (SG-WEx) project (grant numbers NE/K015117/1, NE/K012614/1 and NE/K012584/1) was a major coordinated observational and modelling campaign to study the nature and deep vertical propagation of atmospheric gravity waves over the mountainous island of South Georgia in the Southern Atlantic.\r\n\r\nThis dataset collection contains meteor radar and radiosonde measurements from King Edward Point Magnetic Observatory on South Georgia and output from high-resolution (1.5km grid, 118 vertical levels) Met Office Unified Model simulations in a box 1200km x 900km centred on the island that coincide with the radiosonde campaigns.\r\n\r\nThe meteor radar observations included in this collection are continuous from February 2016 to November 2020, funding for which was continued as part of the follow-on NERC DRAGON-WEx project (NE/R001391/1,NE/R001235/1).\r\n\r\nThe project also made use of 3rd party satellite data from NASA, not included in this collection.", "keywords": "meteor radar, gravity wave, radiosonde", "discoveryKeywords": [ 1138 ], "publicationState": "citable", "dataPublishedTime": "2021-05-11T09:55:01", "doiPublishedTime": "2021-05-12T15:41:57", "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/27270/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/28240/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32324/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32469/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32521/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32522/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32527/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32528/?format=api" ], "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10879/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129045/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129048/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129044/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129040/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129041/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129043/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129042/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129039/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145010/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145009/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129047/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129046/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145011/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129050/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145012/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145013/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129049/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145014/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145015/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145016/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145017/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/145018/?format=api" ] }, { "ob_id": 29894, "uuid": "e78a792d2a4845ab9c675ad837f137ef", "title": "DRAGON-WEx: meteor radar data from South Georgia and Rother, Antarctica.", "abstract": "some stuff", "keywords": "", "discoveryKeywords": [], "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "member": [], "identifier_set": [], "responsiblepartyinfo_set": [] }, { "ob_id": 29923, "uuid": "400efba73c1d40c78f44918429ce9c99", "title": "PICASSO: data from radiosonde flights, Chilbolton weather radar and in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft, radiosonde launches and the Chilbolton weather radar for the Parameterizing Ice Clouds using Airborne obServationS and triple-frequency dOppler radar data (PICASSO) project.\r\n\r\nThis dataset collection also links to a range of third party datasets that were also utilised by the project participants (Met Office rain radar, surface charts, Meteosat images, surface data from Chilbolton instruments and data from the X-band radar deployed at the site at the same time as the PICASSO observation days).", "keywords": "PICASSO, FAAM, airborne, atmospheric measurements", "discoveryKeywords": [ 1138 ], "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/3471/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/3482/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/3531/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/5746/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/12294/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/14642/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/14644/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/14646/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/14648/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/14680/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/14698/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/14700/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26298/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26302/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26306/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26310/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26314/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26318/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26322/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26326/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26387/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26391/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27922/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27950/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27952/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27954/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27958/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27960/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/31948/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/36833/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/36862/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129272/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129273/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129274/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129275/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129271/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129268/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129269/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129270/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129276/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129277/?format=api" ] }, { "ob_id": 29924, "uuid": "ec4926a38c0f4fb181f1e20eb93e0b64", "title": "ACRUISE: Atmospheric Composition and Radiative forcing changes due to UN International Ship Emissions regulations", "abstract": "In-situ ground based observations, airborne observations by the FAAM BAE-146 aircraft, and process-level modelling output for the Atmospheric Composition and Radiative forcing changes due to UN International Ship Emissions regulations (ACRUISE) project.", "keywords": "ACRUISE, FAAM, airborne, atmospheric measurments", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2017-08-03T12:15:43", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/25285/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27968/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27970/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27972/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27974/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27976/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27978/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27980/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27982/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27984/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27986/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27988/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27990/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/27992/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/36866/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/36941/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/36945/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/36949/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/36953/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/36957/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/36961/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/36965/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/36969/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/36973/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/36977/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/36981/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/36985/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/36989/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/36993/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/36997/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37001/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37458/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37462/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37466/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37470/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129278/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129284/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129285/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129279/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129280/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129281/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129282/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129283/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129286/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129287/?format=api" ] }, { "ob_id": 29937, "uuid": "38b8e5e524e1449ab4b4994970752644", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Version 04.5 data collection", "abstract": "Soil Moisture data (version 04.5) from the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. This dataset collection contains three surface soil moisture datasets, alongside ancilliary data products. The ACTIVE and PASSIVE products have been created by fusing satellite scatterometer and radiometer soil moisture products respectively. In the case of the ACTIVE product, these have been derived from the AMI-WS and ASCAT satellite instruments and for the PASSIVE product from the satellite instruments SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS. The COMBINED product is generated from the Level 2 active and passive instruments.. \r\n\r\nThe homogenized and merged products present a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. The products are provided as global daily images, in NetCDF-4 classic file format, the PASSIVE and COMBINED products covering the period (yyyy-mm-dd) 1978-11-01 to 2018-12-31 and the ACTIVE product covering 1991-08-05 to 2018-12-31. The soil moisture data for the PASSIVE and the COMBINED product are provided in volumetric units [m3 m-3], while the ACTIVE soil moisture data are expressed in percent of saturation [%]. For information regarding the theoretical and algorithmic base of the datasets, please see the Algorithm Theoretical Baseline Document (ATBD). Other additional documentation and information documentation relating to the datasets can also be found on the CCI Soil Moisture project web site or in the Product Specification Document.\r\n\r\nThe data set should be cited using the all of the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. 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\n3. 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", "keywords": "ESA, Soil Moisture, CCI", "discoveryKeywords": [ 1138 ], "publicationState": "citable", "dataPublishedTime": "2019-12-19T17:56:57", "doiPublishedTime": "2019-12-19T18:30:10", "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/29929/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/29931/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/29933/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/29935/?format=api" ], "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10672/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129378/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129377/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129371/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129372/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129373/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129374/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129375/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129376/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129380/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129379/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129381/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129382/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129383/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129384/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129385/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129386/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129387/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129388/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129618/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129389/?format=api" ] }, { "ob_id": 29963, "uuid": "4065971a9c5a45e2b64d4dfcc2001e4d", "title": "ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost Climate Research Data Package - Beta version", "abstract": "This collection of data is a Beta version of the Permafrost Climate Research Data Package (CRDP v0), which comprises the Version 1.0 Permafrost data products from the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. Data products include Ground Temperature, Active Layer Thickness and Permafrost Extent for the Northern Hemisphere (north of 30°) for the period 2003-2017. They are derived from a thermal model driven and constrained by satellite data. Gridded products are released in annual files, covering the start to the end of the Julian year. This corresponds to average annual ground temperatures, as well as the maximum depth of seasonal thaw, which corresponds to the active layer thickness.", "keywords": "ESA, CCI, Permafrost", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2019-12-17T17:56:20", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/29962/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/29964/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/29965/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129449/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129440/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129455/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129585/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129586/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129588/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204877/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204878/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129450/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129587/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129456/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129457/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129458/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129459/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129460/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129461/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129571/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129470/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129462/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129463/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129464/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129465/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129466/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129467/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129471/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129468/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129469/?format=api" ] }, { "ob_id": 29977, "uuid": "7f35130cb8c947bf9013594aec6b3043", "title": "Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA)", "abstract": "This dataset collection contains data collected from the Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA) project. MOCCHA aimed to study aerosol processes, the contribution of marine microbiology to their formation and properties, and their impact on the life cycle of low-lewel clouds in the central Arctic as part of the Arctic Ocean 2018 (AO2018) expedition. AO2018 took place between 1 August and 21 September 2018, departing from and returning to Longyearbyen. The expedition was centered around a 4-week long intensive observation period, where e icebreaker Oden was moored to an ice flow and drifted passively with the ice.", "keywords": "MOCCHA, AMF", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2020-03-04T10:48:00", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/29973/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30099/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30102/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30106/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30130/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30132/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32074/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39661/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39666/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39670/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39674/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129546/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129557/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129554/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146936/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129549/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129550/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129551/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129555/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129547/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168365/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129548/?format=api" ] }, { "ob_id": 29993, "uuid": "0a418abc19ee4700a49f9a86b519820f", "title": "Global Precipitation Measurements (GPM) Integrated Multi-satellitE Retrievals (IMERG)", "abstract": "This dataset contains Global Precipitation Measurements (GPM) Integrated Multi-satellitE Retrievals (IMERG) v5 and v6. The Global Precipitation Measurement (GPM) mission is an international network of satellites that provide the next-generation global observations of rain and snow.", "keywords": "GPM, NASA, rainfall, snow", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2020-01-06T09:59:41", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/26515/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/29978/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129622/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129623/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129624/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129626/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129627/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129628/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129625/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168793/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168794/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168795/?format=api" ] }, { "ob_id": 30025, "uuid": "c0edac5a52c64e55ab61bc49a493ef9c", "title": "ESA Sea State Climate Change Initiative (Sea_State_cci): Version 1.1 data collection", "abstract": "The ESA Sea State CCI project has produced global multi-sensor time-series of satellite altimeter significant wave height data with a particular focus for use in climate studies. A number of products are available: a Level 2P (L2P) along-track dataset, a Level 3 (L3) daily merged along-track dataset, and a L4 montly gridded product.\r\n\r\nThis first version of the Sea State CCI products is inherited from the GlobWave project, building on experience and existing outputs. It extends and improves the GlobWave products ,which were a post-processing over existing L2 altimeter agency products with additional filtering, corrections and variables. A major improvement consists in a new denoised sea surface height variable using Empirical Mode Decomposition, which was used as input to these monthly statistical fields.\r\n\r\nThe altimeter data used in the Sea State CCI dataset v1.1 come from multiple satellite missions spanning from 1991 to 2018 (ERS-1, ERS-2, Topex, Envisat, GFO, CryoSat-2, Jason-1, Jason-2, Jason-3, SARAL). Many altimeters are bi-frequency (Ku-C or Ku-S) and only measurements in Ku band were used, for consistency reasons, being available on each altimeter but SARAL (Ka band).", "keywords": "CCI, Sea State, significant wave height", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2020-01-30T16:57:55", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/30003/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30006/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30013/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129691/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129696/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204897/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204898/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129695/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129697/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129698/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129693/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129692/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129699/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129694/?format=api" ] }, { "ob_id": 30041, "uuid": "14f16b7ee7f24f3992e84c22dfb736ca", "title": "PM2.5 analysis results of samples taken from the Institute of Atmospheric Physics -Beijing site by the Si-SOA project", "abstract": "This dataset collection contains the results of the analysis conducted on PM2.5 (particulate matter) samples by the Si-SOA project. The PM2.5 samples were collected in the Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences, China during August 2018 and January 2019 by the Silicon-containing secondary organic aerosols in ambient air (Si-SOA) project. \r\n\r\nThe PM2.5 samples were taken from ambient air at the height of 8m and subjected to a series of analytical techniques, and the data collection is comprised of the following results. \r\n\r\n- The concentration of water-soluble Silicon/water-soluble organic Silicon/water-soluble inorganic Silicon in PM2.5 samples from Ultraviolet-Visible Spectrophotometry\r\n- The concentration of specific ions in PM2.5 samples from Ion Chromatography\r\n- The concentration of water-soluble Silicon in PM2.5 samples from Coupled Plasma - Optical Emission Spectrometry (ICP-OES)\r\n- The concentration of water-soluble elements in PM2.5 samples from Inductively Coupled Plasma Mass Spectrometry (ICP-MS)\r\n- The concentration of elements in PM2.5 samples from X-ray Fluorescence Spectrometry\r\n\r\nThese data support the study of atmospheric processes in relation to fine Silicon-containing particles, which may contribute to the formation of haze and atmospheric pollution.", "keywords": "SI-SOA, PM2.5, ions, chromatography, Silicon, fine particles, pollution, atmospheric chemistry", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2020-02-18T09:05:49", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/29994/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30027/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30030/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30034/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30038/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129811/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129809/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129804/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129805/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129806/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129807/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129808/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129810/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168417/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129812/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129813/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129814/?format=api" ] }, { "ob_id": 30118, "uuid": "6a44fecc0f3842faaea53ab617dd2047", "title": "UKCP18 Global Climate Model Projections for the UK", "abstract": "UK-scale data from Global climate model runs for 1900-2100 produced by the Met Office for UK Climate Projections 2018 (UKCP18) using the HadGEM3 climate model. The data is available at various temporal resolutions: daily, monthly, seasonal and annual and various spatial resolutions: on a 60km OSGB grid, for major UK river catchments and each of the countries of the United Kingdom.", "keywords": "UKCP18, UKCP, Climate, UK, Simulations, GCM, Historical, Projections", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2019-09-16T08:00:00", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/26192/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26195/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26198/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/26201/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130143/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130144/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130145/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130147/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204926/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130149/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130146/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/204925/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130148/?format=api" ] }, { "ob_id": 30127, "uuid": "82b29f96b8c94db28ecc51a479f8c9c6", "title": "National Centre for Earth Observation (NCEO) Core datasets", "abstract": "This NCEO Core data set collection contains data generated by the National Centre for Earth Observation core scientific programmes. NCEO is a National Environment Research Council (NERC) research centre with more than 80 scientists distributed across leading UK universities and research organisations and led by Professor John Remedios at the University of Leicester.\r\n\r\nNCEO provides the UK with core expertise in Earth Observation science, data sets and merging techniques, and model evaluation to underpin Earth System research and the UK’s international contribution to environmental science. NCEO scientists work strategically with space agencies, play significant roles in mission planning, and generate internationally-recognised data products from 20 different satellite instruments.", "keywords": "NCEO", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2021-02-17T15:54:22", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/2743/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/2752/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/6855/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/6875/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/7788/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/7999/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/8008/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/8016/?format=api", 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"https://api.catalogue.ceda.ac.uk/api/v2/observations/32598/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32702/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32738/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32752/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/33223/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/33272/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/33275/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/33410/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/33412/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/33414/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/33423/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/33460/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39323/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39499/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39500/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40176/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40760/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41238/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41239/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41440/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41444/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41445/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/43124/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141133/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130175/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130174/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141130/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141131/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141132/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141134/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141135/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143082/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130176/?format=api" ] }, { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. 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This dataset collection contains three surface soil moisture datasets, alongside ancilliary data products. The ACTIVE and PASSIVE products have been created by fusing satellite scatterometer and radiometer soil moisture products respectively. In the case of the ACTIVE product, these have been derived from the AMI-WS and ASCAT satellite instruments and for the PASSIVE product from the satellite instruments SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS. The COMBINED product is generated from the Level 2 active and passive instruments.. \r\n\r\nThe homogenized and merged products present a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. The products are provided as global daily images, in NetCDF-4 classic file format, the PASSIVE and COMBINED products covering the period (yyyy-mm-dd) 1978-11-01 to 2019-12-31 and the ACTIVE product covering 1991-08-05 to 2019-12-31. The soil moisture data for the PASSIVE and the COMBINED product are provided in volumetric units [m3 m-3], while the ACTIVE soil moisture data are expressed in percent of saturation [%]. For information regarding the theoretical and algorithmic base of the datasets, please see the Algorithm Theoretical Baseline Document (ATBD). Other additional documentation and information documentation relating to the datasets can also be found on the CCI Soil Moisture project web site or in the Product Specification Document.\r\n\r\nThe data set should be cited using the all of the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. 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\n3. 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", "keywords": "ESA, Soil Moisture, CCI", "discoveryKeywords": [ 1138 ], "publicationState": "citable", "dataPublishedTime": "2020-04-16T13:57:01", "doiPublishedTime": "2020-04-20T09:39:12", "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/30204/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30206/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30208/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30211/?format=api" ], "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10710/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130529/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130530/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130532/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130533/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130534/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130535/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130536/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130531/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130537/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130546/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130547/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130549/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130545/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130541/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130540/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130538/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130539/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130542/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130543/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130544/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130548/?format=api" ] }, { "ob_id": 30224, "uuid": "ee6d4c9285ae40aba7b5a7db738c6576", "title": "(APHH India) Megacity Delhi atmospheric emission quantification, assessment and impacts (DelhiFlux): Atmospheric measurements", "abstract": "This dataset collection contains atmospheric measurements from the APHH India) Megacity Delhi atmospheric emission quantification, assessment and impacts (DelhiFlux) project.", "keywords": "APHH, Delhi, air pollution", "discoveryKeywords": [], "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/26923/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30223/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30225/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30306/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/31869/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32119/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32187/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32200/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32210/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32213/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130609/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130610/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130611/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130612/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130614/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130615/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130616/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130613/?format=api" ] }, { "ob_id": 30248, "uuid": "5971cb20fae94540b862ae3ed3204c3f", "title": "European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis 5 (ERA5) model data", "abstract": "ERA5 is the latest European Centre for Medium-Range Weather Forecasts (ECMWF) global atmospheric reanalysis of the period 1979 to present. This follows on from the ERA-15, ERA-40 and ERA-Interim re-analysis projects. This dataset collection includes data on surface and model levels on a regular latitude-longitude grid in netCDF from :\r\n - a high resolution 'HRES' (31 km horizontal, 137 model level, hourly output) reanalysis model \r\n - a reduced resolution ten member member ensemble runs, including data from all 10 members as well as means and spreads - produced to provide an uncertainty estimate for the 'HRES' output.\r\n - initial release 'ERA5t' data\r\n - re-run model output for 2000-2006 to address issues for this period - ERA5.1\r\n\r\nNote, the parameter selection for the data held in the CEDA archive is not the full range of available parameters. Users requiring other parameters or data on alternative level types should seek these products via the Copernicus Data Store (CDS) - see linked data tool resource.\r\n\r\nFor further details of the datasets and CEDA's holdings please see the individual datasets linked to on this dataset collection record.", "keywords": "ECMWF, ERA, ERA5, ERA5.1, ERA5t, reanalysis, surface, model, Gaussian, N256, analysis, forecast, ensemble", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": "2021-02-08T15:05:00", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/27572/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30235/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30244/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30245/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32092/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32093/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32094/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32095/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32096/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32108/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32109/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32110/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32111/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32112/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32113/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32114/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32115/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32116/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/32706/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130710/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130716/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130711/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130709/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130715/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130714/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130713/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130712/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/130717/?format=api" ] }, { "ob_id": 30334, "uuid": "fffdb393206747c8bdc2f2613b1f0f5e", "title": "WCRP CMIP6: the NIMS-KMA team UKESM1-0-LL model output collection", "abstract": "The the NIMS-KMA team team consisted of the following agencies: National Institute of Meteorological Sciences (NIMS) and Korea Meteorological Administration (KMA).World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the the NIMS-KMA team UKESM1-0-LL model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, NIMS-KMA, UKESM1-0-LL", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/30332/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30890/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/33499/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/34551/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/34554/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38365/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38368/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38811/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38814/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/131140/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/131148/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/131149/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/131150/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/131151/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/131143/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/131145/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/131147/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/131141/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/131146/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/131144/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/131142/?format=api" ] }, { "ob_id": 30339, "uuid": "ec43ab35f09a4f4bacdb9b5adfe723aa", "title": "WCRP CMIP6: National Institute of Water and Atmospheric Research (NIWA) UKESM1-0-LL model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the National Institute of Water and Atmospheric Research (NIWA) UKESM1-0-LL model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, NIWA, UKESM1-0-LL", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/30337/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/30341/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/33502/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/33532/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/33535/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/33538/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/131183/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/131175/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/131177/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/131178/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/131179/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/131180/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/131181/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/131182/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/131176/?format=api" ] } ] }