{"count":87423,"next":"https://api.catalogue.ceda.ac.uk/api/v3/onlineresources/?format=json&limit=100&offset=80900","previous":"https://api.catalogue.ceda.ac.uk/api/v3/onlineresources/?format=json&limit=100&offset=80700","results":[{"ob_id":88649,"function":"metadata","linkage":"https://doi.org/10.5281/zenodo.14986563","name":"Complex Citation Object: CMIP6 input data usage information for IPCC WGI AR6 figure CCB3.1.1, Zenodo. https://doi.org/10.5281/zenodo.14986563","relatedTo":{"ob_id":37543,"uuid":"e299379f837142bfb2aa6df64cc66fe7","short_code":"ob"}},{"ob_id":88650,"function":"metadata","linkage":"https://doi.org/10.5281/zenodo.14986565","name":"Complex Citation Object: CMIP6 input data usage information for IPCC WGI AR6 figure CCB3.2.1, Zenodo. https://doi.org/10.5281/zenodo.14986565","relatedTo":{"ob_id":37546,"uuid":"73c576b685c049258dd578f5487885f2","short_code":"ob"}},{"ob_id":88651,"function":"metadata","linkage":"https://doi.org/10.5281/zenodo.14986567","name":"Complex Citation Object: CMIP6 input data usage information for IPCC WGI AR6 figure FAQ3.1.1, Zenodo. https://doi.org/10.5281/zenodo.14986567","relatedTo":{"ob_id":37549,"uuid":"c03ba3e2a7314f848e41a3a724bd8d25","short_code":"ob"}},{"ob_id":88652,"function":"metadata","linkage":"https://doi.org/10.5281/zenodo.14986569","name":"Complex Citation Object: CMIP6 input data usage information for IPCC WGI AR6 figure FAQ3.3.1, Zenodo. https://doi.org/10.5281/zenodo.14986569","relatedTo":{"ob_id":37555,"uuid":"afe80eb32a1c4164a3b84396c6d7a5d6","short_code":"ob"}},{"ob_id":88653,"function":"documentation","linkage":"http://hadisd.blogspot.co.uk/","name":"HadISD blog","relatedTo":{"ob_id":43669,"uuid":"2a01faf75de64308b2bf4c7b43d393ef","short_code":"ob"}},{"ob_id":88654,"function":"documentation","linkage":"http://www.metoffice.gov.uk/hadobs/hadisd/","name":"HadISD homepage","relatedTo":{"ob_id":43669,"uuid":"2a01faf75de64308b2bf4c7b43d393ef","short_code":"ob"}},{"ob_id":88655,"function":"documentation","linkage":"https://doi.org/10.5194/gi-5-473-2016","name":"HadISD v2 reference paper: Dunn, R. J. H., Willett, K. M., Parker, D. E., and Mitchell, L.: Expanding HadISD: quality-controlled, sub-daily station data from 1931, Geosci. Instrum. Method. Data Syst., 5, 473–491, https://doi.org/10.5194/gi-5-473-2016, 2016.","relatedTo":{"ob_id":43669,"uuid":"2a01faf75de64308b2bf4c7b43d393ef","short_code":"ob"}},{"ob_id":88656,"function":"documentation","linkage":"https://www.metoffice.gov.uk/learning/library/publications/science/climate-science-technical-notes","name":"Dunn, R. J. H., (2019), HadISD version 3: monthly updates, Hadley Centre Technical Note","relatedTo":{"ob_id":43669,"uuid":"2a01faf75de64308b2bf4c7b43d393ef","short_code":"ob"}},{"ob_id":88657,"function":"documentation","linkage":"https://twitter.com/metofficeHadOBS","name":"Met Office HadOBS twitter feed","relatedTo":{"ob_id":43669,"uuid":"2a01faf75de64308b2bf4c7b43d393ef","short_code":"ob"}},{"ob_id":88658,"function":"documentation","linkage":"http://data.ceda.ac.uk/badc/ukmo-hadobs/docs/HadISD/HadISD_File_format_guide.pdf","name":"HadISD File formats description","relatedTo":{"ob_id":43669,"uuid":"2a01faf75de64308b2bf4c7b43d393ef","short_code":"ob"}},{"ob_id":88659,"function":"documentation","linkage":"https://doi.org/10.1175/2011BAMS3015.1","name":"Integrated surface database reference : Smith, A., N. Lott, and R. Vose, 2011: The Integrated Surface Database: Recent Developments and Partnerships. Bull. Amer. Meteor. Soc., 92, 704–708, https://doi.org/10.1175/2011BAMS3015.1.","relatedTo":{"ob_id":43669,"uuid":"2a01faf75de64308b2bf4c7b43d393ef","short_code":"ob"}},{"ob_id":88660,"function":"documentation","linkage":"https://doi.org/10.5194/cp-8-1649-2012","name":"Dunn, R. J. H., Willett, K. M., Thorne, P. W., Woolley, E. V., Durre, I., Dai, A., Parker, D. E., and Vose, R. S.: HadISD: a quality-controlled global synoptic report database for selected variables at long-term stations from 1973–2011, Clim. Past, 8, 1649–1679, https://doi.org/10.5194/cp-8-1649-2012, 2012.","relatedTo":{"ob_id":43669,"uuid":"2a01faf75de64308b2bf4c7b43d393ef","short_code":"ob"}},{"ob_id":88661,"function":"documentation","linkage":"http://data.ceda.ac.uk/badc/ukmo-hadobs/metadata/HadISD/hadisd_station_fullinfo_v341_2024f.txt","name":"HadISD v341 station ID codes","relatedTo":{"ob_id":43669,"uuid":"2a01faf75de64308b2bf4c7b43d393ef","short_code":"ob"}},{"ob_id":88662,"function":"documentation","linkage":"https://github.com/ncasuk/ncas-mobile-x-band-radar-1-software/releases/tag/v1.2.0","name":"Processing software for ncas-mobile-x-band-radar-1","relatedTo":{"ob_id":43685,"uuid":"7746b6b9a5b044ddbc0d2a172b9a8b5f","short_code":"ob"}},{"ob_id":88665,"function":"documentation","linkage":"https://www.vaisala.com/en/products/weather-environmental-sensors/upper-air-radiosondes-rs41-rs41-e-models","name":"Vaisala RS41-SG radiosondes","relatedTo":{"ob_id":43696,"uuid":"3de521b50b8546308c90cc586ae72034","short_code":"instr"}},{"ob_id":88667,"function":"documentation","linkage":"https://earth.esa.int/documents/20142/37627/QA4EO-VEG-OQC-MEM-4538_User_Documentation_for__A_ATSR_4th_Reprocessing_Level_1.pdf","name":"User Documentation for (A)ATSR 4th\r\nReprocessing Level 1B Products","relatedTo":{"ob_id":43344,"uuid":"dcad505a8203486e8a3b530a6dff00ca","short_code":"ob"}},{"ob_id":88668,"function":"documentation","linkage":"https://earth.esa.int/documents/20142/37627/QA4EO-VEG-OQC-MEM-4538_User_Documentation_for__A_ATSR_4th_Reprocessing_Level_1.pdf","name":"User Documentation for (A)ATSR 4th\r\nReprocessing Level 1B Products","relatedTo":{"ob_id":43622,"uuid":"6822dc77dcd34c85b015d5f8b40b4ce9","short_code":"ob"}},{"ob_id":88669,"function":"documentation","linkage":"https://earth.esa.int/documents/20142/37627/QA4EO-VEG-OQC-MEM-4538_User_Documentation_for__A_ATSR_4th_Reprocessing_Level_1.pdf","name":"User Documentation for (A)ATSR 4th\r\nReprocessing Level 1B Products","relatedTo":{"ob_id":43183,"uuid":"6f5eb4ba74fa41bfb421d828d9a3f941","short_code":"ob"}},{"ob_id":88670,"function":"documentation","linkage":"https://anr.fr/Project-ANR-21-CE32-0009","name":"Amazonian Landscapes in Transition – ANR webpage","relatedTo":{"ob_id":43702,"uuid":"fa308f5639a54d0ba0b401c206042797","short_code":"proj"}},{"ob_id":88671,"function":null,"linkage":"http://www.riegl.com/nc/products/airborne-scanning/produktdetail/product/scanner/69/","name":"RIEGL VQ 780II Product website","relatedTo":{"ob_id":43711,"uuid":"50c22b642ce14adaa3ed704933c6c1dc","short_code":"instr"}},{"ob_id":88672,"function":"documentation","linkage":"https://cnes.fr/en/scientists/tosca","name":"CNES TOSCA website","relatedTo":{"ob_id":43715,"uuid":"b5807470b54f405aaabf5b1c7a06e463","short_code":"proj"}},{"ob_id":88675,"function":null,"linkage":"https://www.metoffice.gov.uk/research/foundation/observational-studies/wessex-convection-experiment","name":"The Wessex Convection Experiment (WesCon) webpage","relatedTo":{"ob_id":43720,"uuid":"d3685300168848f290dd3a9ec14cc8ac","short_code":"proj"}},{"ob_id":88676,"function":"documentation","linkage":"https://github.com/ncasuk/ncas-radar-x-band-2-software/releases/tag/v1.0.0","name":"Processing software for ncas-radar-x-band-2","relatedTo":{"ob_id":43721,"uuid":"0affc94eb312459e840d957d4401018e","short_code":"ob"}},{"ob_id":88679,"function":"documentation","linkage":"https://doi.org/10.1016/j.envsoft.2024.106131","name":"Environmental Insights: Democratizing access to ambient air pollution data and predictive analytics with an open-source Python package","relatedTo":{"ob_id":43733,"uuid":"4cbd9c53ab07497ba42de5043d1f414b","short_code":"ob"}},{"ob_id":88682,"function":"documentation","linkage":"https://www.cpom.ucl.ac.uk/eocis/icesheets/","name":"CPOM EOCIS products website","relatedTo":{"ob_id":43338,"uuid":"6ccd55eedabf49fcbcdda3332460e67f","short_code":"ob"}},{"ob_id":88683,"function":"documentation","linkage":"https://eocis.org/wp-content/uploads/2024/12/UK_EOCIS_QSG_V2.0-WP_1.3.9_mass-balance.pdf","name":"Quick Start Guide","relatedTo":{"ob_id":43338,"uuid":"6ccd55eedabf49fcbcdda3332460e67f","short_code":"ob"}},{"ob_id":88684,"function":null,"linkage":"https://csl.noaa.gov/projects/bleach/","name":"Bermuda boundary Layer Experiment on the Atmospheric Chemistry of Halogens (BLEACH)","relatedTo":{"ob_id":43656,"uuid":"c5545d7d3b7b405e8607afb8b2e581f2","short_code":"ob"}},{"ob_id":88685,"function":null,"linkage":"https://doi.org/10.1175/JHM-D-20-0148.1","name":"Osborne, S.R. and Weedon, G.P., 2021: Observations and Modeling of Evapotranspiration and Dewfall during the 2018 Meteorological Drought in Southern England. J. Hydrometeorology., 22, 279-295 https://doi.org/10.1175/JHM-D-20-0148.1","relatedTo":{"ob_id":43749,"uuid":"1f2d8d035fde4c24b5aec8b1a093ec66","short_code":"comp"}},{"ob_id":88686,"function":"documentation","linkage":"https://www.cpom.ucl.ac.uk/landice_portal/","name":"CPOM EOCIS products website","relatedTo":{"ob_id":43203,"uuid":"debc301e309a45c68fe2e6f41329cd3b","short_code":"ob"}},{"ob_id":88687,"function":"documentation","linkage":"https://www.cpom.ucl.ac.uk/landice_portal/","name":"CPOM EOCIS products website","relatedTo":{"ob_id":43337,"uuid":"afa4296dd881415eb522eafe7d8116ac","short_code":"ob"}},{"ob_id":88688,"function":"documentation","linkage":"https://doi.org/10.1038/s41467-021-21321-1","name":"Selley, H.L., Hogg, A.E., Cornford, S. et al. Widespread increase in dynamic imbalance in the Getz region of Antarctica from 1994 to 2018. Nat Commun 12, 1133 (2021).","relatedTo":{"ob_id":43475,"uuid":"c0b464b3da9845758cd33591e57c4abf","short_code":"ob"}},{"ob_id":88689,"function":"documentation","linkage":"https://doi.org/10.1038/s41467-023-36990-3","name":"Davison, B.J., Hogg, A.E., Rigby, R. et al. Sea level rise from West Antarctic mass loss significantly modified by large snowfall anomalies. Nat Commun 14, 1479 (2023).","relatedTo":{"ob_id":43475,"uuid":"c0b464b3da9845758cd33591e57c4abf","short_code":"ob"}},{"ob_id":88690,"function":"documentation","linkage":"https://doi.org/10.1002/2016GL069666","name":"McMillan, M., Leeson, A., Shepherd, A., Briggs, K., Armitage, T. W., Hogg, A., ... & Gilbert, L. (2016). A high‐resolution record of Greenland mass balance. Geophysical Research Letters, 43(13), 7002-7010.","relatedTo":{"ob_id":43203,"uuid":"debc301e309a45c68fe2e6f41329cd3b","short_code":"ob"}},{"ob_id":88691,"function":"documentation","linkage":"https://doi.org/10.1029/2019GL082182","name":"Shepherd, A., Gilbert, L., Muir, A. S., Konrad, H., McMillan, M., Slater, T., ... & Engdahl, M. E. (2019). Trends in Antarctic Ice Sheet elevation and mass. Geophysical Research Letters, 46(14), 8174-8183.","relatedTo":{"ob_id":43338,"uuid":"6ccd55eedabf49fcbcdda3332460e67f","short_code":"ob"}},{"ob_id":88692,"function":"documentation","linkage":"https://doi.org/10.1029/2019GL082182","name":"Shepherd, A., Gilbert, L., Muir, A. S., Konrad, H., McMillan, M., Slater, T., ... & Engdahl, M. E. (2019). Trends in Antarctic Ice Sheet elevation and mass. Geophysical Research Letters, 46(14), 8174-8183.","relatedTo":{"ob_id":43337,"uuid":"afa4296dd881415eb522eafe7d8116ac","short_code":"ob"}},{"ob_id":88693,"function":null,"linkage":"http://gem.tropicalforests.ox.ac.uk/","name":"Global Ecosystem Monitoring Network website","relatedTo":{"ob_id":43850,"uuid":"edc03d280dab4549a23b8da869460b94","short_code":"ob"}},{"ob_id":88694,"function":null,"linkage":"https://doi.org/10.1016/j.rse.2017.04.030","name":"Wilkes, P., Lau, A., Disney, M. I., Calders, K., Burt, A., Gonzalez de Tanago Menaca, J., … Herold, M. (2017). Data Acquisition Considerations for Terrestrial Laser Scanning of Forest Plots. Remote Sensing of Environment, 196, 140–153","relatedTo":{"ob_id":43850,"uuid":"edc03d280dab4549a23b8da869460b94","short_code":"ob"}},{"ob_id":88695,"function":null,"linkage":"https://unemat.br/","name":"UNEMAT","relatedTo":{"ob_id":43850,"uuid":"edc03d280dab4549a23b8da869460b94","short_code":"ob"}},{"ob_id":88696,"function":"documentation","linkage":"https://doi.org/10.5281/zenodo.15119805","name":"Data documentation: Projected Abstractions and Discharges for England, 2020 to 2080, for three future scenarios","relatedTo":{"ob_id":43853,"uuid":"4731f72a886c47739fb5990c379c91dd","short_code":"ob"}},{"ob_id":88697,"function":"documentation","linkage":"https://assets.publishing.service.gov.uk/media/672b50a040f7da695c921bf3/cs-now-d2-future-water-resources-scenarios.pdf","name":"Relevant Report Publication - Future water resources for water intensive energy infrastructure: future scenarios","relatedTo":{"ob_id":43853,"uuid":"4731f72a886c47739fb5990c379c91dd","short_code":"ob"}},{"ob_id":88698,"function":"documentation","linkage":"https://github.com/HEBaron/CS-N0W_FAS","name":"Data processing code","relatedTo":{"ob_id":43853,"uuid":"4731f72a886c47739fb5990c379c91dd","short_code":"ob"}},{"ob_id":88699,"function":"documentation","linkage":"https://www.gov.uk/government/collections/climate-services-for-a-net-zero-resilient-world","name":"Climate services for a Net Zero resilient world: Overview","relatedTo":{"ob_id":43853,"uuid":"4731f72a886c47739fb5990c379c91dd","short_code":"ob"}},{"ob_id":88700,"function":"documentation","linkage":"https://eocis.org/wp-content/uploads/2025/03/UK_EOCIS_LakeCatchment_Quick-Start-Guide-V1.2.pdf","name":"Quick Start Guide","relatedTo":{"ob_id":43235,"uuid":"6e329e32570d4d4f818b8f8aa18e7a85","short_code":"ob"}},{"ob_id":88713,"function":"documentation","linkage":"https://climate.esa.int","name":"ESA Climate Change Initiative website","relatedTo":{"ob_id":43866,"uuid":"bf5f4731e8bd456082e2e43f97f4430e","short_code":"ob"}},{"ob_id":88714,"function":"documentation","linkage":"https://climate.esa.int/projects/ice-sheets-greenland","name":"ESA Greenland Ice Sheets project webpage","relatedTo":{"ob_id":43866,"uuid":"bf5f4731e8bd456082e2e43f97f4430e","short_code":"ob"}},{"ob_id":88715,"function":"documentation","linkage":"https://climate.esa.int/media/documents/ST-DTU-ESA-GISCCI-PUG-001_v3.0.pdf","name":"Product User Guide","relatedTo":{"ob_id":43866,"uuid":"bf5f4731e8bd456082e2e43f97f4430e","short_code":"ob"}},{"ob_id":88716,"function":"documentation","linkage":"https://climate.esa.int/documents/2896/DTU-ESA-GISCCI-ATBD-001_v2.1_signed.pdf","name":"Algorithm Theoretical Baseline Document (ATBD)","relatedTo":{"ob_id":43866,"uuid":"bf5f4731e8bd456082e2e43f97f4430e","short_code":"ob"}},{"ob_id":88717,"function":"documentation","linkage":"https://doi.org/10.5194/tc-7-1411-2013","name":"Barletta, V. R., Sørensen, L. S., and Forsberg, R.: Scatter of mass changes estimates at basin scale for Greenland and Antarctica, The Cryosphere, 7, 1411-32, doi:10.5194/tc-7-1411-2013.","relatedTo":{"ob_id":43866,"uuid":"bf5f4731e8bd456082e2e43f97f4430e","short_code":"ob"}},{"ob_id":88718,"function":"dataService","linkage":"ftp://anon-ftp.ceda.ac.uk/neodc/esacci/ice_sheets_greenland/data/greenland_gravimetric_mass_balance/DTU_Space/v3.0/","name":"Anonymous ftp site for ESA CCI download","relatedTo":{"ob_id":43866,"uuid":"bf5f4731e8bd456082e2e43f97f4430e","short_code":"ob"}},{"ob_id":88719,"function":"documentation","linkage":"https://utils.ceda.ac.uk/cgi-bin/midas_stations/station_details.cgi.py?id=671&db=midas_stations","name":"Ross-on-Wye station details","relatedTo":{"ob_id":43868,"uuid":"30e468bb868949dc8552f68a21067995","short_code":"instr"}},{"ob_id":88720,"function":"documentation","linkage":"https://utils.ceda.ac.uk/cgi-bin/midas_stations/station_details.cgi.py?id=658&db=midas_stations","name":"Pershore station details","relatedTo":{"ob_id":43869,"uuid":"c10a547247344ebeb636e86b20950aad","short_code":"instr"}},{"ob_id":88721,"function":"documentation","linkage":"https://doi.org/10.1002/qj.49710042511","name":"Manley, G. (1974), Central England temperatures: Monthly means 1659 to 1973. Q.J.R. Meteorol. Soc., 100: 389-405. https://doi.org/10.1002/qj.49710042511","relatedTo":{"ob_id":43872,"uuid":"9fdd3f704cfa4e0d8575decd494fb038","short_code":"comp"}},{"ob_id":88722,"function":"documentation","linkage":"https://doi.org/10.1002/gdj3.284","name":"Legg, T., Packman, S., Caton Harrison, T. and McCarthy, M. (2025), An Update to the Central England Temperature Series—HadCET v2.1. Geosci. Data J., 12: e284. https://doi.org/10.1002/gdj3.284","relatedTo":{"ob_id":43872,"uuid":"9fdd3f704cfa4e0d8575decd494fb038","short_code":"comp"}},{"ob_id":88723,"function":"documentation","linkage":"https://doi.org/10.5281/zenodo.15131212","name":"Packman, S., & Met Office. (2025). Process flow of the Met Office HadCET daily and monthly series construction. Zenodo. https://doi.org/10.5281/zenodo.15131212","relatedTo":{"ob_id":43873,"uuid":"dcae52d88dea47e0947e2eed2e08bd31","short_code":"comp"}},{"ob_id":88724,"function":"dataService","linkage":"https://www.metoffice.gov.uk/hadobs/hadcet/data/download.html","name":"Latest available provisional release of HadCET values supplementing latest completed released version on the HadObs website.","relatedTo":{"ob_id":43589,"uuid":"0363d592dd3548febaa6fc4056a618a9","short_code":"ob"}},{"ob_id":88726,"function":"documentation","linkage":"http://www.cas.manchester.ac.uk/restools/instruments/remotesensing/windprofiler/","name":"Wind profiler details on the University of Manchester website","relatedTo":{"ob_id":43885,"uuid":"354e046496514ce19ea3d6a862046021","short_code":"instr"}},{"ob_id":88727,"function":null,"linkage":"http://www.degreane-horizon.com/GB/meteorology/autonomous-measurements/wind-altitude-measurement.html","name":"Degreane Horizon Meteorology Wind in Altutude Measurement","relatedTo":{"ob_id":43885,"uuid":"354e046496514ce19ea3d6a862046021","short_code":"instr"}},{"ob_id":88728,"function":"documentation","linkage":"https://amof.ac.uk/instruments/boundary-layer-wind-profiler/","name":"NCAS AMOF page detailing the 1290 mhz wind profiler","relatedTo":{"ob_id":43885,"uuid":"354e046496514ce19ea3d6a862046021","short_code":"instr"}},{"ob_id":88729,"function":"documentation","linkage":"https://ore.exeter.ac.uk/repository/handle/10871/137342","name":"Operationalising Ambient Air Pollution Estimation PhD Thesis","relatedTo":{"ob_id":43886,"uuid":"e6a317f0bc544a4e8a45884b82e6ccae","short_code":"proj"}},{"ob_id":88730,"function":"documentation","linkage":"https://doi.org/10.5194/gmd-16-4451-2023","name":"Wilcox, L. J., Allen, R. J., Samset, B. H., Bollasina, M. A., Griffiths, P. T., Keeble, J., Lund, M. T., Makkonen, R., Merikanto, J., O'Donnell, D., Paynter, D. J., Persad, G. G., Rumbold, S. T., Takemura, T., Tsigaridis, K., Undorf, S., and Westervelt, D. M.: The Regional Aerosol Model Intercomparison Project (RAMIP), Geosci. Model Dev., 16, 4451–4479, https://doi.org/10.5194/gmd-16-4451-2023, 2023.","relatedTo":{"ob_id":43889,"uuid":"5477e60b209a4e169ca60d7f01a017eb","short_code":"coll"}},{"ob_id":88731,"function":"dataService","linkage":"ftp://anon-ftp.ceda.ac.uk/neodc/esacci/sea_ice/data/drift_aware_sea_ice_thickness/L3C/cryosat/v1.0/NH","name":"Anonymous FTP download service for ESA CCI data","relatedTo":{"ob_id":43890,"uuid":"c7cd8115391340638bdd9adb0fbf28e9","short_code":"ob"}},{"ob_id":88732,"function":"documentation","linkage":"https://climate.esa.int/","name":"ESA Climate Change Initiative website","relatedTo":{"ob_id":43890,"uuid":"c7cd8115391340638bdd9adb0fbf28e9","short_code":"ob"}},{"ob_id":88733,"function":"documentation","linkage":"https://climate.esa.int/projects/sea-ice/","name":"ESA CCI Sea Ice project website","relatedTo":{"ob_id":43890,"uuid":"c7cd8115391340638bdd9adb0fbf28e9","short_code":"ob"}},{"ob_id":88736,"function":"documentation","linkage":"https://climate.esa.int/projects/biomass/","name":"ESA CCI Biomass project website","relatedTo":{"ob_id":43891,"uuid":"95913ffb6467447ca72c4e9d8cf30501","short_code":"ob"}},{"ob_id":88737,"function":"documentation","linkage":"https://climate.esa.int/en/projects/biomass/key-documents/","name":"Project documentation for Biomass CCI","relatedTo":{"ob_id":43891,"uuid":"95913ffb6467447ca72c4e9d8cf30501","short_code":"ob"}},{"ob_id":88740,"function":"documentation","linkage":"https://gmd.copernicus.org/articles/16/4451/2023/gmd-16-4451-2023.html","name":"RAMIP experiment description paper","relatedTo":{"ob_id":43895,"uuid":"75154cb17fa145baae459e13af7777d2","short_code":"ob"}},{"ob_id":88741,"function":"documentation","linkage":"https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019MS001791","name":"CNRM-ESM2-1 model description paper","relatedTo":{"ob_id":43895,"uuid":"75154cb17fa145baae459e13af7777d2","short_code":"ob"}},{"ob_id":88742,"function":"documentation","linkage":"https://gmd.copernicus.org/articles/16/4451/2023/gmd-16-4451-2023.html","name":"RAMIP experiment description paper","relatedTo":{"ob_id":43898,"uuid":"93f964d370104d5c9c5b1c0d82f8b846","short_code":"ob"}},{"ob_id":88743,"function":"documentation","linkage":"https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019MS001791","name":"CNRM-ESM2-1 model description paper","relatedTo":{"ob_id":43898,"uuid":"93f964d370104d5c9c5b1c0d82f8b846","short_code":"ob"}},{"ob_id":88744,"function":"documentation","linkage":"https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019MS001791","name":"CNRM-ESM2-1 model description paper","relatedTo":{"ob_id":43889,"uuid":"5477e60b209a4e169ca60d7f01a017eb","short_code":"coll"}},{"ob_id":88745,"function":"documentation","linkage":"https://gmd.copernicus.org/articles/16/4451/2023/gmd-16-4451-2023.html","name":"RAMIP experiment description paper","relatedTo":{"ob_id":43900,"uuid":"ec6e5980a74a4c69a8fde0b4d81a658d","short_code":"ob"}},{"ob_id":88746,"function":"documentation","linkage":"https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019MS001791","name":"CNRM-ESM2-1 model description paper","relatedTo":{"ob_id":43900,"uuid":"ec6e5980a74a4c69a8fde0b4d81a658d","short_code":"ob"}},{"ob_id":88747,"function":"documentation","linkage":"https://gmd.copernicus.org/articles/16/4451/2023/gmd-16-4451-2023.html","name":"RAMIP experiment description paper","relatedTo":{"ob_id":43902,"uuid":"13b310fc41f04792ad7f84ad8d80f1c3","short_code":"ob"}},{"ob_id":88748,"function":"documentation","linkage":"https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019MS001791","name":"CNRM-ESM2-1 model description paper","relatedTo":{"ob_id":43902,"uuid":"13b310fc41f04792ad7f84ad8d80f1c3","short_code":"ob"}},{"ob_id":88749,"function":"documentation","linkage":"https://gmd.copernicus.org/articles/16/4451/2023/gmd-16-4451-2023.html","name":"RAMIP experiment description paper","relatedTo":{"ob_id":43904,"uuid":"5e2588d9fcc2409bb572402108622b3e","short_code":"ob"}},{"ob_id":88750,"function":"documentation","linkage":"https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019MS001791","name":"CNRM-ESM2-1 model description paper","relatedTo":{"ob_id":43904,"uuid":"5e2588d9fcc2409bb572402108622b3e","short_code":"ob"}},{"ob_id":88751,"function":"documentation","linkage":"https://gmd.copernicus.org/articles/16/4451/2023/gmd-16-4451-2023.html","name":"RAMIP experiment description paper","relatedTo":{"ob_id":43906,"uuid":"2140af6da1b44861a74e66333ed277c9","short_code":"ob"}},{"ob_id":88752,"function":"documentation","linkage":"https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019MS001791","name":"CNRM-ESM2-1 model description paper","relatedTo":{"ob_id":43906,"uuid":"2140af6da1b44861a74e66333ed277c9","short_code":"ob"}},{"ob_id":88755,"function":"documentation","linkage":"https://gmd.copernicus.org/articles/16/4451/2023/gmd-16-4451-2023.html","name":"RAMIP experiment description paper","relatedTo":{"ob_id":43909,"uuid":"cf87f3ebcaa04c03b9f7079d9aa270cd","short_code":"ob"}},{"ob_id":88756,"function":"documentation","linkage":"https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019MS001791","name":"CNRM-ESM2-1 model description paper","relatedTo":{"ob_id":43909,"uuid":"cf87f3ebcaa04c03b9f7079d9aa270cd","short_code":"ob"}},{"ob_id":88757,"function":"documentation","linkage":"https://gmd.copernicus.org/articles/16/4451/2023/gmd-16-4451-2023.html","name":"RAMIP experiment description paper","relatedTo":{"ob_id":43912,"uuid":"f5cf862872d240dcab86a0d67eb16699","short_code":"ob"}},{"ob_id":88758,"function":"documentation","linkage":"https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019MS001791","name":"CNRM-ESM2-1 model description paper","relatedTo":{"ob_id":43912,"uuid":"f5cf862872d240dcab86a0d67eb16699","short_code":"ob"}},{"ob_id":88759,"function":"documentation","linkage":"https://gmd.copernicus.org/articles/16/4451/2023/gmd-16-4451-2023.html","name":"RAMIP experiment description paper","relatedTo":{"ob_id":43914,"uuid":"e83f26cb113544db8db274a194b49977","short_code":"ob"}},{"ob_id":88760,"function":"documentation","linkage":"https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019MS001791","name":"CNRM-ESM2-1 model description paper","relatedTo":{"ob_id":43914,"uuid":"e83f26cb113544db8db274a194b49977","short_code":"ob"}},{"ob_id":88761,"function":"documentation","linkage":"https://gmd.copernicus.org/articles/16/4451/2023/gmd-16-4451-2023.html","name":"RAMIP experiment description paper","relatedTo":{"ob_id":43916,"uuid":"146acf9cfe564eaba7e20a190e922d44","short_code":"ob"}},{"ob_id":88762,"function":"documentation","linkage":"https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019MS001791","name":"CNRM-ESM2-1 model description paper","relatedTo":{"ob_id":43916,"uuid":"146acf9cfe564eaba7e20a190e922d44","short_code":"ob"}},{"ob_id":88763,"function":"documentation","linkage":"https://rainforest-crc.jcu.edu.au/publications/permanent_plots_full.pdf","name":"Graham, A.W. (Ed.), 2006. The CSIRO Rainforest Permanent Plots of North Queensland – Site, Structural, Floristic and Edaphic Descriptions. CSIRO and the Cooperative Research Centre for Tropical Rainforest Ecology and Management, Cairns.","relatedTo":{"ob_id":43919,"uuid":"826c4184a49640659558eeb03f796414","short_code":"ob"}},{"ob_id":88764,"function":"documentation","linkage":"https://research.wur.nl/en/publications/data-acquisition-considerations-for-terrestrial-laser-scanning-of","name":"Wilkes, P., Lau, A., Disney, M. I., Calders, K., Burt, A., Gonzalez de Tanago Menaca, J., … Herold, M. (2017). Data Acquisition Considerations for Terrestrial Laser Scanning of Forest Plots. Remote Sensing of Environment, 196, 140–153. https://doi.org/10.1016/j.rse.2017.04.030","relatedTo":{"ob_id":43919,"uuid":"826c4184a49640659558eeb03f796414","short_code":"ob"}},{"ob_id":88765,"function":"download","linkage":"http://products.esa-icesheets-cci.org/products/downloadlist/GMB/","name":"CCI Ice Sheets Product Download Portal","relatedTo":{"ob_id":43866,"uuid":"bf5f4731e8bd456082e2e43f97f4430e","short_code":"ob"}},{"ob_id":88766,"function":null,"linkage":"http://gem.tropicalforests.ox.ac.uk/","name":"Global Ecosystem Monitoring Network website","relatedTo":{"ob_id":43929,"uuid":"1377e1c5100b4ceba84d077c4166b4ef","short_code":"ob"}},{"ob_id":88767,"function":null,"linkage":"https://doi.org/10.1016/j.rse.2017.04.030","name":"Wilkes, P., Lau, A., Disney, M. I., Calders, K., Burt, A., Gonzalez de Tanago Menaca, J., … Herold, M. (2017). Data Acquisition Considerations for Terrestrial Laser Scanning of Forest Plots. Remote Sensing of Environment, 196, 140–153","relatedTo":{"ob_id":43929,"uuid":"1377e1c5100b4ceba84d077c4166b4ef","short_code":"ob"}},{"ob_id":88769,"function":"documentation","linkage":"http://gem.tropicalforests.ox.ac.uk/","name":"Global Ecosystem Monitoring Network website","relatedTo":{"ob_id":43932,"uuid":"e83501ef28ce4839916621857fdd9a88","short_code":"ob"}},{"ob_id":88770,"function":"documentation","linkage":"https://doi.org/10.1016/j.rse.2017.04.030","name":"Wilkes, P., Lau, A., Disney, M. I., Calders, K., Burt, A., Gonzalez de Tanago Menaca, J., … Herold, M. (2017). Data Acquisition Considerations for Terrestrial Laser Scanning of Forest Plots. Remote Sensing of Environment, 196, 140–153","relatedTo":{"ob_id":43932,"uuid":"e83501ef28ce4839916621857fdd9a88","short_code":"ob"}},{"ob_id":88771,"function":"documentation","linkage":"https://www.safeproject.net/","name":"The SAFE project website","relatedTo":{"ob_id":43933,"uuid":"7060904eb2d140f887bbcf07224d19f3","short_code":"proj"}},{"ob_id":88772,"function":"documentation","linkage":"https://www.searrp.org/","name":"SEARRP website","relatedTo":{"ob_id":43932,"uuid":"e83501ef28ce4839916621857fdd9a88","short_code":"ob"}},{"ob_id":88773,"function":"documentation","linkage":"http://gem.tropicalforests.ox.ac.uk/","name":"Global Ecosystem Monitoring Network website","relatedTo":{"ob_id":43935,"uuid":"839eff8c0ef44c23840c1c13ebe78d17","short_code":"ob"}},{"ob_id":88774,"function":"documentation","linkage":"https://doi.org/10.1016/j.rse.2017.04.030","name":"Wilkes, P., Lau, A., Disney, M. I., Calders, K., Burt, A., Gonzalez de Tanago Menaca, J., … Herold, M. (2017). Data Acquisition Considerations for Terrestrial Laser Scanning of Forest Plots. Remote Sensing of Environment, 196, 140–153","relatedTo":{"ob_id":43935,"uuid":"839eff8c0ef44c23840c1c13ebe78d17","short_code":"ob"}},{"ob_id":88775,"function":"documentation","linkage":"https://www.searrp.org/","name":"SEARRP website","relatedTo":{"ob_id":43935,"uuid":"839eff8c0ef44c23840c1c13ebe78d17","short_code":"ob"}},{"ob_id":88776,"function":null,"linkage":"http://gem.tropicalforests.ox.ac.uk/","name":"Global Ecosystem Monitoring Network website","relatedTo":{"ob_id":43938,"uuid":"26bd74cc70c84bcea4e0726a3342d839","short_code":"ob"}},{"ob_id":88777,"function":null,"linkage":"https://doi.org/10.1016/j.rse.2017.04.030","name":"Wilkes, P., Lau, A., Disney, M. I., Calders, K., Burt, A., Gonzalez de Tanago Menaca, J., … Herold, M. (2017). Data Acquisition Considerations for Terrestrial Laser Scanning of Forest Plots. Remote Sensing of Environment, 196, 140–153","relatedTo":{"ob_id":43938,"uuid":"26bd74cc70c84bcea4e0726a3342d839","short_code":"ob"}}]}