{"count":87270,"next":"https://api.catalogue.ceda.ac.uk/api/v3/onlineresources/?format=json&limit=100&offset=23300","previous":"https://api.catalogue.ceda.ac.uk/api/v3/onlineresources/?format=json&limit=100&offset=23100","results":[{"ob_id":26388,"function":"documentation","linkage":"http://www.cordex.org/domains/region-5-africa/","name":"CORDEX domain specifications for Africa (region 4)","relatedTo":{"ob_id":27146,"uuid":"1d791e601e4d4cafb83db2244b8a3821","short_code":"comp"}},{"ob_id":26391,"function":"documentation","linkage":"http://www.cordex.org/about/","name":"CORDEX Web Site","relatedTo":{"ob_id":27147,"uuid":"f9025ac0ca0f4a8da211d8a9dfca75db","short_code":"coll"}},{"ob_id":26392,"function":"documentation","linkage":"http://www.csag.uct.ac.za/cordex-africa/","name":"CORDEX Africa Web Site","relatedTo":{"ob_id":27147,"uuid":"f9025ac0ca0f4a8da211d8a9dfca75db","short_code":"coll"}},{"ob_id":26393,"function":"documentation","linkage":"http://www.cordex.org/domains/region-5-africa/","name":"CORDEX domain specifications for Africa (region 4)","relatedTo":{"ob_id":27147,"uuid":"f9025ac0ca0f4a8da211d8a9dfca75db","short_code":"coll"}},{"ob_id":26394,"function":"documentation","linkage":"http://www.cordex.org/domains/cordex-region-south-america-cordex/","name":"CORDEX domain specifications for South America (region 1)","relatedTo":{"ob_id":27148,"uuid":"fcebbb5ad28947378ee874ea1569c2a1","short_code":"ob"}},{"ob_id":26395,"function":"documentation","linkage":"https://is-enes-data.github.io/CORDEX_variables_requirement_table.pdf","name":"CORDEX Variables Table","relatedTo":{"ob_id":27148,"uuid":"fcebbb5ad28947378ee874ea1569c2a1","short_code":"ob"}},{"ob_id":26396,"function":"documentation","linkage":"https://www.metoffice.gov.uk/research/modelling-systems/unified-model/climate-models/hadgem3","name":"HadGEM3 description","relatedTo":{"ob_id":27148,"uuid":"fcebbb5ad28947378ee874ea1569c2a1","short_code":"ob"}},{"ob_id":26397,"function":"documentation","linkage":"https://www.metoffice.gov.uk/research/modelling-systems/unified-model/climate-models/hadcm3","name":"HadCM3 description","relatedTo":{"ob_id":27148,"uuid":"fcebbb5ad28947378ee874ea1569c2a1","short_code":"ob"}},{"ob_id":26398,"function":"documentation","linkage":"https://www.ecmwf.int/en/forecasts/datasets/archive-datasets/reanalysis-datasets/era-interim","name":"ECMWF ERA-Interim Reanalysis dataset","relatedTo":{"ob_id":27148,"uuid":"fcebbb5ad28947378ee874ea1569c2a1","short_code":"ob"}},{"ob_id":26399,"function":"documentation","linkage":"http://www.cordex.org/about/","name":"CORDEX Web Site","relatedTo":{"ob_id":27148,"uuid":"fcebbb5ad28947378ee874ea1569c2a1","short_code":"ob"}},{"ob_id":26400,"function":"documentation","linkage":"https://madwiki.dkrz.de/CORDEXDataManagement","name":"CORDEX Data Management","relatedTo":{"ob_id":27148,"uuid":"fcebbb5ad28947378ee874ea1569c2a1","short_code":"ob"}},{"ob_id":26401,"function":"documentation","linkage":"https://is-enes-data.github.io/CORDEX_variables_requirement_table.pdf","name":"CORDEX Variables Table","relatedTo":{"ob_id":27158,"uuid":"60e2f0b902e847dd86376294245d6693","short_code":"ob"}},{"ob_id":26402,"function":"documentation","linkage":"https://www.metoffice.gov.uk/research/modelling-systems/unified-model/climate-models/hadgem3","name":"HadGEM3 description","relatedTo":{"ob_id":27158,"uuid":"60e2f0b902e847dd86376294245d6693","short_code":"ob"}},{"ob_id":26403,"function":"documentation","linkage":"https://www.metoffice.gov.uk/research/modelling-systems/unified-model/climate-models/hadcm3","name":"HadCM3 description","relatedTo":{"ob_id":27158,"uuid":"60e2f0b902e847dd86376294245d6693","short_code":"ob"}},{"ob_id":26404,"function":"documentation","linkage":"https://www.ecmwf.int/en/forecasts/datasets/archive-datasets/reanalysis-datasets/era-interim","name":"ECMWF ERA-Interim Reanalysis dataset","relatedTo":{"ob_id":27158,"uuid":"60e2f0b902e847dd86376294245d6693","short_code":"ob"}},{"ob_id":26405,"function":"documentation","linkage":"http://www.cordex.org/about/","name":"CORDEX Web Site","relatedTo":{"ob_id":27158,"uuid":"60e2f0b902e847dd86376294245d6693","short_code":"ob"}},{"ob_id":26406,"function":"documentation","linkage":"https://madwiki.dkrz.de/CORDEXDataManagement","name":"CORDEX Data Management","relatedTo":{"ob_id":27158,"uuid":"60e2f0b902e847dd86376294245d6693","short_code":"ob"}},{"ob_id":26408,"function":"documentation","linkage":"http://www.meteo.unican.es/wiki/cordexwrf/CordexDomains/DomainsWestAsia","name":"CORDEX domain specification for West Asia","relatedTo":{"ob_id":27158,"uuid":"60e2f0b902e847dd86376294245d6693","short_code":"ob"}},{"ob_id":26411,"function":"documentation","linkage":"https://www.ecmwf.int/en/forecasts/datasets/archive-datasets/reanalysis-datasets/era-interim","name":"ECMWF ERA-Interim Reanalysis","relatedTo":{"ob_id":27161,"uuid":"d9ede438de31435a96fd946e0b8bf7f1","short_code":"comp"}},{"ob_id":26412,"function":"documentation","linkage":"https://www.metoffice.gov.uk/research/modelling-systems/unified-model/climate-models/hadcm3","name":"HadCM3","relatedTo":{"ob_id":27161,"uuid":"d9ede438de31435a96fd946e0b8bf7f1","short_code":"comp"}},{"ob_id":26413,"function":"documentation","linkage":"http://www.meteo.unican.es/wiki/cordexwrf/CordexDomains/DomainsWestAsia","name":"CORDEX domain specifications for West Asia","relatedTo":{"ob_id":27161,"uuid":"d9ede438de31435a96fd946e0b8bf7f1","short_code":"comp"}},{"ob_id":26416,"function":"documentation","linkage":"https://www.ecmwf.int/en/forecasts/datasets/archive-datasets/reanalysis-datasets/era-interim","name":"ECMWF ERA-Interim Reanalysis dataset","relatedTo":{"ob_id":27162,"uuid":"36dc92e160c442b2b83f2ad80da4c494","short_code":"ob"}},{"ob_id":26417,"function":"documentation","linkage":"https://www.metoffice.gov.uk/research/modelling-systems/unified-model/climate-models/hadcm3","name":"HadCM3 description","relatedTo":{"ob_id":27162,"uuid":"36dc92e160c442b2b83f2ad80da4c494","short_code":"ob"}},{"ob_id":26418,"function":"documentation","linkage":"https://madwiki.dkrz.de/CORDEXDataManagement","name":"CORDEX Data Management","relatedTo":{"ob_id":27162,"uuid":"36dc92e160c442b2b83f2ad80da4c494","short_code":"ob"}},{"ob_id":26419,"function":"documentation","linkage":"https://is-enes-data.github.io/CORDEX_variables_requirement_table.pdf","name":"CORDEX Variables Table","relatedTo":{"ob_id":27162,"uuid":"36dc92e160c442b2b83f2ad80da4c494","short_code":"ob"}},{"ob_id":26420,"function":"documentation","linkage":"http://www.cordex.org/about/","name":"CORDEX Web Site","relatedTo":{"ob_id":27162,"uuid":"36dc92e160c442b2b83f2ad80da4c494","short_code":"ob"}},{"ob_id":26421,"function":"documentation","linkage":"http://www.meteo.unican.es/wiki/cordexwrf/CordexDomains/DomainsWestAsia","name":"CORDEX domain specification for West Asia","relatedTo":{"ob_id":27162,"uuid":"36dc92e160c442b2b83f2ad80da4c494","short_code":"ob"}},{"ob_id":26424,"function":"documentation","linkage":"http://www.cordex.org/about/","name":"CORDEX Web Site","relatedTo":{"ob_id":27163,"uuid":"a590f587d3b64ca28a367fa3c82554fb","short_code":"coll"}},{"ob_id":26425,"function":"documentation","linkage":"http://www.meteo.unican.es/wiki/cordexwrf/CordexDomains/DomainsWestAsia","name":"CORDEX domain specification for West Asia","relatedTo":{"ob_id":27163,"uuid":"a590f587d3b64ca28a367fa3c82554fb","short_code":"coll"}},{"ob_id":26426,"function":"dataService","linkage":"https://archive.ceda.ac.uk/tools/midas_stations","name":"Search for Met Office MIDAS Stations","relatedTo":{"ob_id":27164,"uuid":"1e040656ae0a4646acafbef6144b10f2","short_code":"ob"}},{"ob_id":26429,"function":"documentation","linkage":"https://artefacts.ceda.ac.uk/badc_datadocs/ukmo-midas/ukmo_guide.html#6.2","name":"Information on versioning in MIDAS data","relatedTo":{"ob_id":27164,"uuid":"1e040656ae0a4646acafbef6144b10f2","short_code":"ob"}},{"ob_id":26430,"function":"documentation","linkage":"https://www.metoffice.gov.uk/binaries/content/assets/metofficegovuk/pdf/research/library-and-archive/library/publications/factsheets/factsheet_17-observations_over_land_2023.pdf","name":"Weather observations over land (Factsheet 17)","relatedTo":{"ob_id":27164,"uuid":"1e040656ae0a4646acafbef6144b10f2","short_code":"ob"}},{"ob_id":26432,"function":"documentation","linkage":"https://zenodo.org/record/7357325","name":"MIDAS User Guide version v20200921","relatedTo":{"ob_id":27164,"uuid":"1e040656ae0a4646acafbef6144b10f2","short_code":"ob"}},{"ob_id":26433,"function":"download","linkage":"http://data.ceda.ac.uk/badc/cru/doc/CRU_CY_File_formats_guide.pdf","name":"CRU CY File formats guide","relatedTo":{"ob_id":20364,"uuid":"fa6472c913e2455bad5f6bf91c1e9825","short_code":"result"}},{"ob_id":26434,"function":"download","linkage":"http://data.ceda.ac.uk/badc/cru/doc/CRU_CY_File_formats_guide.pdf","name":"CRU CY File formats guide","relatedTo":{"ob_id":20375,"uuid":"ee38460f89cd4d439fea5a211484346e","short_code":"result"}},{"ob_id":26435,"function":"download","linkage":"http://data.ceda.ac.uk/badc/cru/doc/CRU_CY_File_formats_guide.pdf","name":"CRU CY File formats guide","relatedTo":{"ob_id":25069,"uuid":"6fb382672acf4ddd9852d2e5d8aa6603","short_code":"result"}},{"ob_id":26436,"function":"download","linkage":"http://data.ceda.ac.uk/badc/cru/doc/CRU_CY_File_formats_guide.pdf","name":"CRU CY File formats guide","relatedTo":{"ob_id":25070,"uuid":"dd3d8e7a55f8416eb387ffaff8b2e990","short_code":"result"}},{"ob_id":26437,"function":"download","linkage":"http://data.ceda.ac.uk/badc/cru/doc/CRU_CY_File_formats_guide.pdf","name":"CRU CY File formats guide","relatedTo":{"ob_id":26861,"uuid":"ad4c8fc44a614b24ae6f40d25b648c3e","short_code":"result"}},{"ob_id":26438,"function":"download","linkage":"http://data.ceda.ac.uk/badc/cru/doc/CRU_CY_File_formats_guide.pdf","name":"CRU CY File formats guide","relatedTo":{"ob_id":26868,"uuid":"35ea06ed7a1a4fdeb4823914c18512ee","short_code":"result"}},{"ob_id":26439,"function":"download","linkage":"http://data.ceda.ac.uk/badc/cru/doc/CRU_CY_File_formats_guide.pdf","name":"CRU CY File formats guide","relatedTo":{"ob_id":20045,"uuid":"c023c1c96c294b2aa19e8c6c7c1c90f4","short_code":"result"}},{"ob_id":26443,"function":"documentation","linkage":"https://www.metoffice.gov.uk/binaries/content/assets/metofficegovuk/pdf/research/library-and-archive/library/publications/factsheets/factsheet_17-observations_over_land_2023.pdf","name":"Weather observations over land (Factsheet 17)","relatedTo":{"ob_id":26437,"uuid":"a39add95a8dc49709f6e984c020c8dbc","short_code":"ob"}},{"ob_id":26444,"function":"dataService","linkage":"https://ceda-wps-ui.ceda.ac.uk/processes/execute?wps=midas_extract&process=GetWeatherStations","name":"Find MIDAS stations using WPS tool","relatedTo":{"ob_id":26892,"uuid":"0049795739e44310a4982e26d8e26748","short_code":"ob"}},{"ob_id":26445,"function":"dataService","linkage":"https://ceda-wps-ui.ceda.ac.uk/processes/execute?wps=midas_extract&process=GetWeatherStations","name":"Find MIDAS stations using WPS tool","relatedTo":{"ob_id":26437,"uuid":"a39add95a8dc49709f6e984c020c8dbc","short_code":"ob"}},{"ob_id":26446,"function":"documentation","linkage":"https://www.metoffice.gov.uk/binaries/content/assets/metofficegovuk/pdf/research/library-and-archive/library/publications/factsheets/factsheet_17-observations_over_land_2023.pdf","name":"Weather observations over land (Factsheet 17)","relatedTo":{"ob_id":26896,"uuid":"c58c1af69b9745fda4cdf487a9547185","short_code":"ob"}},{"ob_id":26447,"function":"dataService","linkage":"https://ceda-wps-ui.ceda.ac.uk/processes/execute?wps=midas_extract&process=GetWeatherStations","name":"Find MIDAS stations using WPS tool","relatedTo":{"ob_id":26899,"uuid":"11c15f2640f541d4847dafe9be1bb90a","short_code":"ob"}},{"ob_id":26448,"function":"documentation","linkage":"https://www.metoffice.gov.uk/binaries/content/assets/metofficegovuk/pdf/research/library-and-archive/library/publications/factsheets/factsheet_17-observations_over_land_2023.pdf","name":"Weather observations over land (Factsheet 17)","relatedTo":{"ob_id":26901,"uuid":"a7ba08d073eb40a9aab5e312f371d007","short_code":"ob"}},{"ob_id":26449,"function":"dataService","linkage":"https://ceda-wps-ui.ceda.ac.uk/processes/execute?wps=midas_extract&process=GetWeatherStations","name":"Find MIDAS stations using WPS tool","relatedTo":{"ob_id":26894,"uuid":"7aaa582fb00246b794dc85950f1be265","short_code":"ob"}},{"ob_id":26450,"function":"dataService","linkage":"https://ceda-wps-ui.ceda.ac.uk/processes/execute?wps=midas_extract&process=GetWeatherStations","name":"Find MIDAS stations using WPS tool","relatedTo":{"ob_id":27164,"uuid":"1e040656ae0a4646acafbef6144b10f2","short_code":"ob"}},{"ob_id":26456,"function":"documentation","linkage":"http://data.ceda.ac.uk/badc/cru/data/cru_jra/cru_jra_1.1/data/CRUJRA_V1.1_Read_me.txt","name":"CRU JRA 1.1 README","relatedTo":{"ob_id":26978,"uuid":"13f3635174794bb98cf8ac4b0ee8f4ed","short_code":"ob"}},{"ob_id":26459,"function":"documentation","linkage":"http://data.ceda.ac.uk/badc/cru/data/cru_jra/cru_jra_1.1/data/CRUJRA_V1.1_Read_me.txt","name":"CRU JRA Read Me","relatedTo":{"ob_id":27185,"uuid":"9692143d57aa413eab1277193361de77","short_code":"comp"}},{"ob_id":26460,"function":"documentation","linkage":"https://dx.doi.org/10.2151/jmsj.2015-001","name":"Kobayashi, S., Y. Ota, Y. Harada, A. Ebita, M. Moriya, H. Onoda, K. Onogi, H. Kamahori, C. Kobayashi, H. Endo, K. Miyaoka, and K. Takahashi, 2015: The JRA-55 Reanalysis: General Specifications and Basic Characteristics. J. Met. Soc. Jap., 93(1), 5-48 https://dx.doi.org/10.2151/jmsj.2015-001","relatedTo":{"ob_id":27185,"uuid":"9692143d57aa413eab1277193361de77","short_code":"comp"}},{"ob_id":26461,"function":"documentation","linkage":"http://data.ceda.ac.uk/badc/cru/data/cru_jra/cru_jra_1.1/data/CRUJRA_V1.1_Read_me.txt","name":"CRU JRA Read Me","relatedTo":{"ob_id":26979,"uuid":"0aa107d4a32a4d8f85a5b5545aae0961","short_code":"result"}},{"ob_id":26462,"function":"documentation","linkage":"https://crudata.uea.ac.uk/cru/data/hrg/Revised_Appendix_3_CLD.pdf","name":"This is a revision to the paper: Harris, I., Jones, P.D., Osborn, T.J. and Lister, D.H. (2014), Updated highresolution grids of monthly climatic observations – the CRU TS3.10 Dataset. Int. J. Climatol., 34: 623–642. doi: 10.1002/joc.3711","relatedTo":{"ob_id":26978,"uuid":"13f3635174794bb98cf8ac4b0ee8f4ed","short_code":"ob"}},{"ob_id":26463,"function":"documentation","linkage":"https://dx.doi.org/10.2151/jmsj.2015-001","name":"Kobayashi, S., Y. Ota, Y. Harada, A. Ebita, M. Moriya, H. Onoda, K. Onogi, H. Kamahori, C. Kobayashi, H. Endo, K. Miyaoka, and K. Takahashi, 2015: The JRA-55 Reanalysis: General Specifications and Basic Characteristics. J. Met. Soc. Jap., 93(1), 5-48","relatedTo":{"ob_id":26978,"uuid":"13f3635174794bb98cf8ac4b0ee8f4ed","short_code":"ob"}},{"ob_id":26464,"function":"documentation","linkage":"ftp://nacp.ornl.gov/synthesis/2009/frescati/model_driver/cru_ncep/analysis/readme.htm","name":"CRU NCEP documentation","relatedTo":{"ob_id":26978,"uuid":"13f3635174794bb98cf8ac4b0ee8f4ed","short_code":"ob"}},{"ob_id":26465,"function":"documentation","linkage":"https://www.ceh.ac.uk/services/air-samplers#alph","name":"CEH air samplers","relatedTo":{"ob_id":27198,"uuid":"aab818c5a78244799c1ead83f9f5e3f2","short_code":"instr"}},{"ob_id":26466,"function":"documentation","linkage":"https://gtr.ukri.org/projects?ref=NE%2FN00373X%2F1","name":"Weighing trees with lasers: reducing uncertainty in tropical forest biomass and allometry","relatedTo":{"ob_id":27203,"uuid":"d2e07c380e0448389db72dce786e5340","short_code":"ob"}},{"ob_id":26469,"function":"documentation","linkage":"https://gtr.ukri.org/projects?ref=NE%2FN00373X%2F1","name":"Weighing trees with lasers: reducing uncertainty in tropical forest biomass and allometry","relatedTo":{"ob_id":27212,"uuid":"b93d491bee374c29a46d0a16049fb65e","short_code":"ob"}},{"ob_id":26470,"function":"dataService","linkage":"http://www.riegl.com/uploads/tx_pxpriegldownloads/10_DataSheet_VZ-400_2017-06-14.pdf","name":"Instrument Data Sheet","relatedTo":{"ob_id":27217,"uuid":"2bb19819fe424c7a8629755eaa9a0c4f","short_code":"instr"}},{"ob_id":26471,"function":"dataService","linkage":"http://www.riegl.com/uploads/tx_pxpriegldownloads/10_DataSheet_VZ-400_2017-06-14.pdf","name":"Instrument Data Sheet","relatedTo":{"ob_id":27223,"uuid":"d80d5c2b6b40455c82707bc53c200f2a","short_code":"instr"}},{"ob_id":26472,"function":"documentation","linkage":"https://www.atmos-meas-tech-discuss.net/amt-2018-255/","name":"A method for extracting calibrated volatility information from the FIGAERO-HR-ToF-CIMS and its application to chamber and field studies","relatedTo":{"ob_id":27102,"uuid":"8692c9ac8d0d4605858c1edb7ee5da17","short_code":"ob"}},{"ob_id":26473,"function":"documentation","linkage":"https://gtr.ukri.org/projects?ref=NE%2FN00373X%2F1","name":"Weighing trees with lasers: reducing uncertainty in tropical forest biomass and allometry","relatedTo":{"ob_id":27256,"uuid":"0e2faf925c404a4fb817b17a6508cf99","short_code":"ob"}},{"ob_id":26474,"function":"documentation","linkage":"http://data.ceda.ac.uk/neodc/eustace/metadata/station/input_datasets/input_datasets_for_eustace_land_station_data.pdf","name":"References for input datasets","relatedTo":{"ob_id":20093,"uuid":"7925ded722d743fa8259a93acc7073f2","short_code":"ob"}},{"ob_id":26475,"function":"documentation","linkage":"http://gotw.nerc.ac.uk/list_full.asp?pcode=NER%2FG%2FS%2F2003%2F00014","name":"NERC Grants on the Web Entry for the project \"A meteor radar at Rothera for studies of the mesosphere and lower thermosphere.\" NERC Grant award: NER/G/S/2003/00014","relatedTo":{"ob_id":27263,"uuid":"6150c36a822c4c7d8168aefc90e2b93a","short_code":"proj"}},{"ob_id":26476,"function":"documentation","linkage":"http://gotw.nerc.ac.uk/list_full.asp?pcode=NE%2FE007384%2F1","name":"NERC Grants on the Web Entry for the project \"Winds, waves, clouds & meteors in the mesosphere\" NERC Grant award: NE/E007384/1","relatedTo":{"ob_id":27265,"uuid":"393353f16afd48db94908479a2e5acc1","short_code":"proj"}},{"ob_id":26477,"function":"documentation","linkage":"https://gtr.ukri.org/projects?ref=NE%2FE007384%2F1","name":"UKRI Gateway to Research entry for the project \"Winds, waves, clouds & meteors in the mesosphere\" NERC Grant award: NE/E007384/1","relatedTo":{"ob_id":27265,"uuid":"393353f16afd48db94908479a2e5acc1","short_code":"proj"}},{"ob_id":26478,"function":"documentation","linkage":"https://gtr.ukri.org/projects?ref=PP%2FE002218%2F1","name":"UKRI Gateway to Research entry for the project \"Dynamics & Coupling of the Mesosphere & Lower Thermosphere - Studies with Meteor Radar & EISCAT\" STFC award PP/E002218/1","relatedTo":{"ob_id":27266,"uuid":"a274dbc117484ee78f92fcb48cd552bc","short_code":"proj"}},{"ob_id":26479,"function":"documentation","linkage":"http://gotw.nerc.ac.uk/list_full.asp?pcode=NE%2FH009760%2F1","name":"NERC Grants on the Web Entry for the project \"Wave dynamics of the mesosphere\" NERC Grant award: NE/H009760/1","relatedTo":{"ob_id":27267,"uuid":"df2f6edc1fd34c65aac55a1e9a6455b2","short_code":"proj"}},{"ob_id":26480,"function":"documentation","linkage":"https://gtr.ukri.org/projects?ref=NE%2FH009760%2F1","name":"UKRI Gateway to Research entry for the project \"Wave dynamics of the mesosphere\" NERC Grant award: NE/H009760/1","relatedTo":{"ob_id":27267,"uuid":"df2f6edc1fd34c65aac55a1e9a6455b2","short_code":"proj"}},{"ob_id":26481,"function":"documentation","linkage":"https://gtr.ukri.org/projects?ref=NE%2FN00373X%2F1","name":"Weighing trees with lasers: reducing uncertainty in tropical forest biomass and allometry","relatedTo":{"ob_id":27294,"uuid":"7ad3d55c11614b49988bec9bee12d4bd","short_code":"ob"}},{"ob_id":26482,"function":"documentation","linkage":"https://rmets.onlinelibrary.wiley.com/doi/full/10.1002/gdj3.32","name":"Datasets related to in-land water for limnology and remote sensing applications: distance-to-land, distance-to-water, water-body identifier and lake-centre co-ordinates","relatedTo":{"ob_id":27295,"uuid":"76a29c5b55204b66a40308fc2ba9cdb3","short_code":"ob"}},{"ob_id":26483,"function":"documentation","linkage":"https://www.tandfonline.com/doi/abs/10.5589/m12-010","name":"Surface water temperature observations of large lakes by optimal estimation","relatedTo":{"ob_id":27295,"uuid":"76a29c5b55204b66a40308fc2ba9cdb3","short_code":"ob"}},{"ob_id":26484,"function":"documentation","linkage":"https://gtr.ukri.org/projects?ref=NE%2FN00373X%2F1","name":"Weighing trees with lasers: reducing uncertainty in tropical forest biomass and allometry","relatedTo":{"ob_id":27309,"uuid":"d24ec272fc8e41b18e0eccc9a1b55c3d","short_code":"ob"}},{"ob_id":26485,"function":"documentation","linkage":"https://gtr.ukri.org/projects?ref=NE%2FN00373X%2F1","name":"Weighing trees with lasers: reducing uncertainty in tropical forest biomass and allometry","relatedTo":{"ob_id":27312,"uuid":"d903e5f48267499992d00b92574caa8e","short_code":"ob"}},{"ob_id":26486,"function":"documentation","linkage":"https://gtr.ukri.org/projects?ref=NE%2FN00373X%2F1","name":"Weighing trees with lasers: reducing uncertainty in tropical forest biomass and allometry","relatedTo":{"ob_id":27315,"uuid":"89c664b7a86341bfa1b65c9fc5a0347d","short_code":"ob"}},{"ob_id":26488,"function":"documentation","linkage":"https://gtr.ukri.org/projects?ref=NE%2FN00373X%2F1","name":"Weighing trees with lasers: reducing uncertainty in tropical forest biomass and allometry","relatedTo":{"ob_id":27319,"uuid":"f835f111f045429d9301061a34dcbc37","short_code":"ob"}},{"ob_id":26490,"function":"documentation","linkage":"https://gtr.ukri.org/projects?ref=NE%2FN00373X%2F1","name":"Weighing trees with lasers: reducing uncertainty in tropical forest biomass and allometry","relatedTo":{"ob_id":27325,"uuid":"e06a9cc321b149c3b2ab878788f92798","short_code":"ob"}},{"ob_id":26491,"function":"documentation","linkage":"https://gtr.ukri.org/projects?ref=NE%2FN00373X%2F1","name":"Weighing trees with lasers: reducing uncertainty in tropical forest biomass and allometry","relatedTo":{"ob_id":27328,"uuid":"02db52fec47541cf93e9bac62d80bfd2","short_code":"ob"}},{"ob_id":26492,"function":"documentation","linkage":"https://gtr.ukri.org/projects?ref=NE%2FN00373X%2F1","name":"Weighing trees with lasers: reducing uncertainty in tropical forest biomass and allometry","relatedTo":{"ob_id":27331,"uuid":"5cc5789f790f40548164f68714bd1205","short_code":"ob"}},{"ob_id":26493,"function":"documentation","linkage":"https://gtr.ukri.org/projects?ref=NE%2FN00373X%2F1","name":"Weighing trees with lasers: reducing uncertainty in tropical forest biomass and allometry","relatedTo":{"ob_id":27334,"uuid":"12d06294616a434db1756d36f06b01dc","short_code":"ob"}},{"ob_id":26496,"function":"documentation","linkage":"https://gtr.ukri.org/projects?ref=NE%2FN00373X%2F1","name":"Weighing trees with lasers: reducing uncertainty in tropical forest biomass and allometry","relatedTo":{"ob_id":27342,"uuid":"8065f8dc04144a85bbdc7357c723801f","short_code":"ob"}},{"ob_id":26497,"function":"documentation","linkage":"https://gtr.ukri.org/projects?ref=NE%2FN00373X%2F1","name":"Weighing trees with lasers: reducing uncertainty in tropical forest biomass and allometry","relatedTo":{"ob_id":27345,"uuid":"6312f1117b044e0288720f11a9fdd36d","short_code":"ob"}},{"ob_id":26498,"function":"documentation","linkage":"https://gtr.ukri.org/projects?ref=NE%2FN00373X%2F1","name":"Weighing trees with lasers: reducing uncertainty in tropical forest biomass and allometry","relatedTo":{"ob_id":27346,"uuid":"275dd9bd0a9f42ff8b226c542b16a772","short_code":"ob"}},{"ob_id":26499,"function":"documentation","linkage":"https://gtr.ukri.org/projects?ref=NE%2FN00373X%2F1","name":"Weighing trees with lasers: reducing uncertainty in tropical forest biomass and allometry","relatedTo":{"ob_id":27349,"uuid":"d616ea0a4bcc4b36a3f2b01a5d2077a9","short_code":"ob"}},{"ob_id":26500,"function":"documentation","linkage":"https://gtr.ukri.org/projects?ref=NE%2FN00373X%2F1","name":"Weighing trees with lasers: reducing uncertainty in tropical forest biomass and allometry","relatedTo":{"ob_id":27352,"uuid":"0e84e3b2ab694046a81c118ed29eff48","short_code":"ob"}},{"ob_id":26501,"function":"documentation","linkage":"https://gtr.ukri.org/projects?ref=NE%2FN00373X%2F1","name":"Weighing trees with lasers: reducing uncertainty in tropical forest biomass and allometry","relatedTo":{"ob_id":27355,"uuid":"1d745315475c4fe4a0d561c4a02e0acd","short_code":"ob"}},{"ob_id":26502,"function":"documentation","linkage":"https://gtr.ukri.org/projects?ref=NE%2FN00373X%2F1","name":"Weighing trees with lasers: reducing uncertainty in tropical forest biomass and allometry","relatedTo":{"ob_id":27358,"uuid":"4a82c176ca994889862c271cc784f040","short_code":"ob"}},{"ob_id":26503,"function":"documentation","linkage":"https://www.atmos-chem-phys.net/16/4343/2016/","name":"Paper: The vertical distribution of volcanic SO2 plumes measured by IASI","relatedTo":{"ob_id":27366,"uuid":"d40bf62899014582a72d24154a94d8e2","short_code":"ob"}},{"ob_id":26504,"function":"documentation","linkage":"https://www.atmos-chem-phys.net/12/11417/2012/acp-12-11417-2012.html","name":"Paper: A new scheme for sulphur dioxide retrieval from IASI measurements: application to the Eyjafjallajökull eruption of April and May 2010","relatedTo":{"ob_id":27366,"uuid":"d40bf62899014582a72d24154a94d8e2","short_code":"ob"}},{"ob_id":26505,"function":"documentation","linkage":"https://uk-air.defra.gov.uk/assets/documents/reports/cat05/0802141004_NO2_WG_PracticalGuidance_Issue1a.pdf","name":"Diffusion Tubes for Ambient NO2 Monitoring: Practical Guidance","relatedTo":{"ob_id":27198,"uuid":"aab818c5a78244799c1ead83f9f5e3f2","short_code":"instr"}},{"ob_id":26507,"function":"documentation","linkage":"https://www.ceh.ac.uk/services/air-samplers#alph","name":"CEH air samplers","relatedTo":{"ob_id":27370,"uuid":"80438df7695447f897ae47db91469152","short_code":"instr"}},{"ob_id":26510,"function":"documentation","linkage":"https://github.com/ExoMol/dvr3d","name":"https://github.com/ExoMol/dvr3d","relatedTo":{"ob_id":27382,"uuid":"9a241b172c3b4505b8e173504d76e33f","short_code":"excit"}},{"ob_id":26511,"function":"documentation","linkage":"https://github.com/ExoMol/dvr3d","name":"https://github.com/ExoMol/dvr3d","relatedTo":{"ob_id":26725,"uuid":"01a9f5caedbc4a92af70b390a3a21b5e","short_code":"comp"}},{"ob_id":26512,"function":"documentation","linkage":"https://www.esa-fire-cci.org/sites/default/files/Fire_cci_O2_D2_ATBD_AVHRR%20v1.1.pdf","name":"Algorithm Theoretical Basis Document - AVHRR-LTDR Fire_cci v1.0","relatedTo":{"ob_id":27396,"uuid":"28195716468d459f9d3c3860dcfa8cf9","short_code":"comp"}},{"ob_id":26513,"function":"documentation","linkage":"http://www.ecad.eu","name":"European Climate Assessment & Dataset (ECA&D) project website","relatedTo":{"ob_id":20092,"uuid":"81784e3642bd465aa69c7fd40ffe1b1b","short_code":"ob"}},{"ob_id":26514,"function":"documentation","linkage":"https://doi.org/10.1002/joc.5874","name":"Squintu, AA, van der Schrier, G, Brugnara, Y, Klein Tank, A.  Homogenization of daily temperature series in the European Climate Assessment & Dataset. /Int J Climatol/. 2019; 39: 1243– 1261.  https://doi.org/10.1002/joc.5874","relatedTo":{"ob_id":20092,"uuid":"81784e3642bd465aa69c7fd40ffe1b1b","short_code":"ob"}},{"ob_id":26515,"function":"documentation","linkage":"https://doi.org/10.1002/qj.3200","name":"Hunt, K. M., Turner, A. G. and Shaffrey, L. C. (2018), The evolution, seasonality and impacts of western disturbances. Q.J.R. Meteorol. Soc., 144: 278-290. doi:10.1002/qj.3200","relatedTo":{"ob_id":27182,"uuid":"f2ab8c5fb8da40cf96d32ac3739149ca","short_code":"ob"}},{"ob_id":26516,"function":"documentation","linkage":"https://doi.org/10.1175/JCLI-D-18-0420.1","name":"Hunt, K.M., A.G. Turner, and L.C. Shaffrey, 0: Representation of western disturbances in CMIP5 models. J. Climate, 0, https://doi.org/10.1175/JCLI-D-18-0420.1","relatedTo":{"ob_id":27182,"uuid":"f2ab8c5fb8da40cf96d32ac3739149ca","short_code":"ob"}},{"ob_id":26517,"function":"documentation","linkage":"https://doi.org/10.1002/qj.3200","name":"Hunt, K. M., Turner, A. G. and Shaffrey, L. C. (2018), The evolution, seasonality and impacts of western disturbances. Q.J.R. Meteorol. Soc., 144: 278-290. doi:10.1002/qj.3200","relatedTo":{"ob_id":27397,"uuid":"2703d5a46d22430d887043b2715dae5a","short_code":"ob"}},{"ob_id":26518,"function":"documentation","linkage":"https://doi.org/10.1175/JCLI-D-18-0420.1","name":"Hunt, K.M., A.G. Turner, and L.C. Shaffrey, 0: Representation of western disturbances in CMIP5 models. J. Climate, 0, https://doi.org/10.1175/JCLI-D-18-0420.1","relatedTo":{"ob_id":27397,"uuid":"2703d5a46d22430d887043b2715dae5a","short_code":"ob"}}]}