(My organization)
Continents, countries, sea regions of the world.
https://catalogue.ceda.ac.uk/uuid/422f7235c49e430ebfb72a9feac95de0 422f7235c49e430ebfb72a9feac95de0 cmip5.output1.LASG-IAP.FGOALS-s2.1pctCO2.day.atmos.day.r1i1p1.v1.v1 cmip5.output1.LASG-IAP.FGOALS-s2.1pctCO2.day.ocean.day.r1i1p1.v1.v1 cmip5.output1.LASG-IAP.FGOALS-s2.1pctCO2.fx.ocean.fx.r0i0p0.v1.v1 cmip5.output1.LASG-IAP.FGOALS-s2.1pctCO2.mon.atmos.Amon.r1i1p1.v1.v1 cmip5.output1.LASG-IAP.FGOALS-s2.1pctCO2.mon.ocean.Omon.r1i1p1.v20130225.v20130225 cmip5.output1.LASG-IAP.FGOALS-s2.1pctCO2.mon.seaIce.OImon.r1i1p1.v2.v2
WCRP CMIP5: The LASG-IAP team FGOALS-s2 model output for the 1pctCO2 experiment
WCRP CMIP5: The LASG-IAP team FGOALS-s2 model output for the 1 percent per year CO2 (1pctCO2) experiment. These data cover the following realms: atmos, ocean and seaIce; at the following frequencies: day, fx and mon. The runs included the ensemble members: r0i0p0 and r1i1p1. The WCRP Coupled Model Intercomparison Project, Phase 5 (CMIP5), was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the World Climate Research Program (WCRP) and provided input for the Intergovernmental Panel on Climate Change (IPCC) 5th Assessment Report (AR5). The LASG-IAP team consisted of the following agencies: Institute of Atmospheric Physics (LASG) and Institute of Atmospheric Physics (IAP).
Access to these data is available to any registered CEDA user. Please Login or Register for a CEDA account to gain access.
Under the following licence https://artefacts.ceda.ac.uk/licences/specific_licences/cmip5_open.pdf, appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data were produced and verified by The LASG-IAP team scientists before publication via the Earth Systems Grid Federation (ESGF) and a copy obtained by the Centre for Environmental Data Analysis (CEDA).
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WCRP CMIP6: Institute for Numerical Mathematics (INM) INM-CM4-8 model output for the "historical" experiment
The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institute for Numerical Mathematics (INM) INM-CM4-8 model output for the "all-forcing simulation of the recent past" (historical) experiment. These are available at the following frequencies: AERmon, Amon, CFday, CFmon, Eday, EdayZ, Lmon, Omon, SImon, day and fx. The runs included the ensemble member: r1i1p1f1. CMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6). The official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.
Public data: access to these data is available to both registered and non-registered users.
Under the following licence https://artefacts.ceda.ac.uk/licences/specific_licences/CMIP6_Terms_of_Use.pdf, appropriate use of these data may fall under unclassified use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data were produced and verified by Institute for Numerical Mathematics (INM) scientists before publication via the Earth Systems Grid Federation (ESGF) and a copy obtained by the Centre for Environmental Data Analysis (CEDA).
https://catalogue.ceda.ac.uk/uuid/d1535aa7a15f43f9a03642ca26f92c51 d1535aa7a15f43f9a03642ca26f92c51 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Amon.clt.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Amon.co2.gn.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Amon.evspsbl.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Amon.hfls.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Amon.hfss.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Amon.hurs.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Amon.hus.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Amon.huss.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Amon.pr.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Amon.prw.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Amon.ps.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Amon.psl.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Amon.rlds.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Amon.rlus.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Amon.rlut.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Amon.rlutcs.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Amon.rsds.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Amon.rsus.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Amon.rsut.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Amon.rsutcs.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Amon.rtmt.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Amon.ta.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Amon.tas.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Amon.tasmax.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Amon.tasmin.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Amon.tauu.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Amon.tauv.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Amon.tos.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Amon.ts.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Amon.ua.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Amon.va.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Amon.zg.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Eday.lai.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Emon.cSoil.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.LImon.snc.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.LImon.snw.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Lmon.burntFractionAll.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Lmon.cLeaf.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Lmon.cProduct.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Lmon.cRoot.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Lmon.cVeg.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Lmon.gpp.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Lmon.lai.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Lmon.mrro.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Lmon.mrso.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Lmon.mrsos.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Lmon.nbp.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Lmon.ra.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Lmon.rh.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Oday.tos.gn.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Ofx.basin.gn.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Ofx.deptho.gn.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Ofx.sftof.gn.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Omon.bigthetao.gn.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Omon.fgco2.gn.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Omon.hfds.gn.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Omon.masscello.gn.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Omon.masso.gn.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Omon.mlotst.gn.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Omon.msftyz.gn.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Omon.so.gn.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Omon.sos.gn.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Omon.thetao.gn.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Omon.thkcello.gn.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Omon.tos.gn.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Omon.volcello.gn.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Omon.volo.gn.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Omon.zos.gn.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Omon.zostoga.gn.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.Oyr.fgco2.gn.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.SIday.siconc.gn.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.SIday.siconca.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.SImon.siconc.gn.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.SImon.siconca.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.day.clt.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.day.hfls.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.day.hfss.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.day.hurs.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.day.hus.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.day.huss.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.day.mrro.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.day.mrso.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.day.mrsos.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.day.pr.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.day.psl.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.day.rlds.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.day.rlus.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.day.rlut.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.day.rsds.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.day.rsus.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.day.snc.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.day.snw.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.day.ta.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.day.tas.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.day.tasmin.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.day.ua.gr.v20210113.v20210113 CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.esm-hist.r1i1p1f1.day.va.gr.v20210113.v20210113
WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3-CC model output for the "esm-hist" experiment
The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the the EC-Earth-Consortium team EC-Earth3-CC model output for the "all-forcing simulation of the recent past with atmospheric CO2 concentration calculated" (esm-hist) experiment. These are available at the following frequencies: Amon, Eday, Emon, LImon, Lmon, Oday, Ofx, Omon, Oyr, SIday, SImon and day. The runs included the ensemble member: r1i1p1f1. CMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6). The the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University. The official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.
Data were produced and verified by the EC-Earth-Consortium team scientists before publication via the Earth Systems Grid Federation (ESGF) and a copy obtained by the Centre for Environmental Data Analysis (CEDA).
https://catalogue.ceda.ac.uk/uuid/ec79b1847ba64bb88b47a99afb003b68 ec79b1847ba64bb88b47a99afb003b68 CMIP6.LUMIP.BCC.BCC-CSM2-MR.hist-noLu.r1i1p1f1.Amon.cli.gn.v20190719.v20190719 CMIP6.LUMIP.BCC.BCC-CSM2-MR.hist-noLu.r1i1p1f1.Amon.clw.gn.v20190719.v20190719 CMIP6.LUMIP.BCC.BCC-CSM2-MR.hist-noLu.r1i1p1f1.Amon.ta.gn.v20190719.v20190719
WCRP CMIP6: Beijing Climate Center (BCC) BCC-CSM2-MR model output for the "hist-noLu" experiment
The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Beijing Climate Center (BCC) BCC-CSM2-MR model output for the "historical with no land-use change" (hist-noLu) experiment. These are available at the following frequency: Amon. The runs included the ensemble member: r1i1p1f1. CMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6). The official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.
Data were produced and verified by Beijing Climate Center (BCC) scientists before publication via the Earth Systems Grid Federation (ESGF) and a copy obtained by the Centre for Environmental Data Analysis (CEDA).
Tomographic data on the developmental biology of the Early Cambrian cnidarian Olivooides (NERC grant NE/J018325/1)
The folders GMPKU2311, GMPKU3089, ELISN108-343 and ELISN31-5 contain data from X-ray tomographic analyses of fossil embryos and post-embryonic stages as described: There is one data folder provided for each specimen, each containing the following: - Raw data: zip archive containing the raw scan data (.tif image stack). - Working files: zip archive containing the segmented slices (.tif image stack exported from Avizo labels). - Avizo project: the Avizo .hx project file. - Avizo labels: the Avizo .am labels file, containing the segmentation information. - 3D model: the 3D surface computed from the segmented labels data (.stl file). In the case of GMPKU2311 only the raw data and 3D model file are provided, as the surface was computed directly from an isosurface of the specimen in Avizo. The individual slices (.tif images) can be viewed with standard graphics software, and the datasets can be studied in 3D using tomographic reconstruction software such as Avizo (www.vsg3d.com/), Spiers (www.spiers-software.org/), VG Studio Max (www.volumegraphics.com) etc. The Avizo project and label files (.hx and .am files) require Avizo software (www.vsg3d.com/) to be opened. The 3D models (.stl files) are widely compatible with 3D freeware packages such as MeshLab (http://meshlab.sourceforge.net/) or Blender (https://www.blender.org/), or with proprietary software, e.g. Avizo (www.vsg3d.com/), Geomagic (http://www.geomagic.com/en/), Mimics (http://biomedical.materialise.com/mimics). The files relate to the following publication: Dong, X.; Vargas, K.; Cunningham, J. A.; Zhang, H.; Liu, T.; Chen, F.; Liu, J.; Bengtson, S. & Donoghue, P. C. J. 2015. Developmental biology of the early Cambrian cnidarian Olivooides. Journal of Paleontology.
The copyright of materials derived from the British Geological Survey's work is vested in the Natural Environment Research Council [NERC]. No part of this work may be reproduced or transmitted in any form or by any means, or stored in a retrieval system of any nature, without the prior permission of the copyright holder, via the BGS Intellectual Property Rights Manager. Use by customers of information provided by the BGS, is at the customer's own risk. In view of the disparate sources of information at BGS's disposal, including such material donated to BGS, that BGS accepts in good faith as being accurate, the Natural Environment Research Council (NERC) gives no warranty, expressed or implied, as to the quality or accuracy of the information supplied, or to the information's suitability for any use. NERC/BGS accepts no liability whatever in respect of loss, damage, injury or other occurence however caused.
Either: (i) the dataset is made freely available, e.g. via the Internet, for a restricted category of use (e.g. educational use only); or (ii) the dataset has not been formally approved by BGS for access and use by external clients under licence, but its use may be permitted under alternative formal arrangements; or (iii) the dataset contains 3rd party data or information obtained by BGS under terms and conditions that must be consulted in order to determine the permitted usage of the dataset. Refer to the BGS staff member responsible for the creation of the dataset if further advice is required. He / she should be familiar with the composition of the dataset, particularly with regard to 3rd party IPR contained in it, and any resultant use restrictions. This staff member should revert to the IPR Section (ipr@bgs.ac.uk) for advice, should the position not be clear.
Access via University of Bristol and available under Non-Commercial Government License for public sector information.
For methodology see https://data.bris.ac.uk/datasets/ig22c0fcvoen1qrvpuoctgij9/readme.txt
Chapter 10 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 10.6 (v20220113)
Data for Figure 10.6 from Chapter 10 of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6). Figure 10.6 is an illustration of some model biases in simulations performed with dynamical models. --------------------------------------------------- How to cite this dataset --------------------------------------------------- When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates: Doblas-Reyes, F.J., A.A. Sörensson, M. Almazroui, A. Dosio, W.J. Gutowski, R. Haarsma, R. Hamdi, B. Hewitson, W.-T. Kwon, B.L. Lamptey, D. Maraun, T.S. Stephenson, I. Takayabu, L. Terray, A. Turner, and Z. Zuo, 2021: Linking Global to Regional Climate Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1363–1512, doi:10.1017/9781009157896.012. --------------------------------------------------- Figure subpanels --------------------------------------------------- The figure has two panels ((a) and (b)), which are further divided into 6 maps and 1 boxplot. Data is provided for all subpanels. --------------------------------------------------- List of data provided --------------------------------------------------- Boxplot data point is annual summer mean (JJA) surface air temperature (panel (a)) and precipitation (panel (b)) for western Mediterranean mean (lon: 10°W-10°E, lat: 33°N-45°N) between 1986 and 2005 for: - Observational datasets - Each model of CMIP5, CMIP6, HighResMIP, EURO-CORDEX 11 and EURO-CORDEX 44 Mapplot data is mean (1986-2005) annual summer mean (JJA) surface air temperature (panel (a)) and precipitation (panel (b)) for the western Mediterranean (lon: 15°W-15°E, lat: 28°N-50°N) regrided on a 1°x1° regular grid for: - Absolute values for reference observational dataset (BerkeleyEarth (a), CRU TS (b)) - Ensemble biases of CMIP5, CMIP6, HighResMIP, EURO-CORDEX 11 and EURO-CORDEX 44 --------------------------------------------------- Data provided in relation to figure --------------------------------------------------- Panel (a): - Data file: Observed (Berkeley Earth) mean (1986-2005) annual summer mean (JJA) surface air temperature over the western Mediterranean (top left): Fig_10_6_panel-a_mapplot_tas_obs_single_single_mean.nc - Data files: Ensemble mean (1986-2005) annual summer mean (JJA) surface air temperature bias over the western Mediterranean (top right): Fig_10_6_panel-a_mapplot_tas_bias_cmip5_tas_cmip5_map_MultiModelMean_bias.nc, Fig_10_6_panel-a_mapplot_tas_bias_cmip6_tas_cmip6_map_MultiModelMean_bias.nc, Fig_10_6_panel-a_mapplot_tas_bias_hrmip_tas_hrmip_map_MultiModelMean_bias.nc, Fig_10_6_panel-a_mapplot_tas_bias_cdx44_tas_cdx44_map_MultiModelMean_bias.nc, Fig_10_6_panel-a_mapplot_tas_bias_cdx11_tas_cdx11_map_MultiModelMean_bias.nc - Data file: Observed (black boxplots), reanalysis (black boxplots) and modelled (CMIP5: blue boxplots, CMIP6: red boxplots, HighResMIP: orange boxplots, CORDEX EUR-44: light blue boxplots, CORDEX EUR-11: green boxplots) annual summer mean (JJA) surface air temperature values (i.e. underlying data points of the boxplot) over the western Mediterranean (bottom part): Fig_10_6_panel-a_boxplot.csv Panel (b): - Data file: Observed (CRU TS) mean (1986-2005) annual summer mean (JJA) precipitation rate over the western Mediterranean (top left): Fig_10_6_panel-b_mapplot_pr_obs_single_masked_cru_single_mean.nc - Data files: Ensemble mean (1986-2005) annual summer mean (JJA) precipitation rate bias over the western Mediterranean (top right): Fig_10_6_panel-b_mapplot_pr_bias_cmip5_pr_cmip5_map_MultiModelMean_bias.nc, Fig_10_6_panel-b_mapplot_pr_bias_cmip6_pr_cmip6_map_MultiModelMean_bias.nc, Fig_10_6_panel-b_mapplot_pr_bias_hrmip_pr_hrmip_map_MultiModelMean_bias.nc, Fig_10_6_panel-b_mapplot_pr_bias_cdx44_pr_cdx44_map_MultiModelMean_bias.nc, Fig_10_6_panel-b_mapplot_pr_bias_cdx11_pr_cdx11_map_MultiModelMean_bias.nc - Data file: observed (black boxplots), reanalysis (black boxplots) and modelled (CMIP5: blue boxplots, CMIP6: red boxplots, HighResMIP: orange boxplots, CORDEX EUR-44: light blue boxplots, CORDEX EUR-11: green boxplots) annual summer mean (JJA) precipitation rate values (i.e. underlying data points of the boxplot) over the western Mediterranean (bottom part): Fig_10_6_panel-b_boxplot.csv Acronyms: CMIP - Coupled Model Intercomparison Project, HighResMIP - High Resolution Model Intercomparison Project, Cordex – Coordinated Regional Climate Downscaling Experiment, OLS - ordinary least squares regression. --------------------------------------------------- Notes on reproducing the figure from the provided data --------------------------------------------------- The code for ESMValTool is provided. --------------------------------------------------- Sources of additional information --------------------------------------------------- The following weblinks are provided in the Related Documents section of this catalogue record: - Link to the figure on the IPCC AR6 website - Link to the report component containing the figure (Chapter 10) - Link to the Supplementary Material for Chapter 10, which contains details on the input data used in Table 10.SM.11 - Link to the code for the figure, archived on Zenodo.
Under the following licence http://creativecommons.org/licenses/by/4.0/, appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data produced by Intergovernmental Panel on Climate Change (IPCC) authors and supplied for archiving at the Centre for Environmental Data Analysis (CEDA) by the Technical Support Unit (TSU) for IPCC Working Group I (WGI). Data curated on behalf of the IPCC Data Distribution Centre (IPCC-DDC).
BGS offshore activities and samples Web service
This Web service provides layers which show metadata relating to offshore sample collection and other activities undertaken by the British Geological Survey (BGS) and its predecessors. The layers are point layers which indicate the spatial locations of the samples or activities. This service groups data by the type of sample: borehole-type samples (including boreholes, vibrocorers, piston corers and other types of corer), grab samples and other samples (including dredge samples and cone penetrometer tests). For each sample type, two layers are provided: 1) A summary metadata layer containing details about the sample, the survey or cruise during which it was collected, and additional descriptive information, plus a link to scanned images of sample station datasheets (where available). 2) For samples which have undergone further geological interpretation, a layer which contains geological observations, measurements and interpretations at specific depth intervals. Two additional layers containing the results of particle size analysis (PSA) and geotechnical data (where collected) are also provided.
200-Geographic model/information management service
Available under the Open Government Licence subject to the following acknowledgement accompanying the reproduced NERC materials "Contains NERC materials ©NERC [year]"
The dataset is made freely available for access, e.g. via the Internet. Either no third party data / information is contained in the dataset or BGS has secured written permission from the owner(s) of any third party data / information contained in the dataset to make the dataset freely accessible.
For the lineage of datasets served by this service, refer to the metadata for those data.
https://catalogue.ceda.ac.uk/uuid/c9865e19dd6445baa06ec7a68dee05c7 c9865e19dd6445baa06ec7a68dee05c7
FAAM B447 MEVEX flight, D6: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft
Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft, D6 flight for MEVEX - Middle East Validation EXperiment project.
Under the following licence http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/, appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data were collected by instrument scientists during the flight before preparation and delivery for archiving at the NCAS British Atmospheric Data Centre.
https://catalogue.ceda.ac.uk/uuid/ca924c65ad514b3a82cd50e70a5bb86a ca924c65ad514b3a82cd50e70a5bb86a
FAAM B438 MEVEX flight, M1: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft
Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft, M1 flight for MEVEX - Middle East Validation EXperiment project.
Organic pollutants in urban soils of Glasgow, UK
Concentrations of total organic carbon (TOC), total petroleum hydrocarbons, polycyclic aromatic hydrocarbons (PAHs) and polychlorinated biphenyls (PCBs) were determined in 84 near-surface soils (5-20 cm depth) taken from a 255 km2 area of Glasgow in the Clyde Basin, UK, during July 2011. Total petroleum hydrocarbon ranged from 79-2,505 mg kg-1 (mean 388 mg kg-1; median 272 mg kg-1) of which the aromatic fraction was 13-74 % (mean 44 %, median 43 %) and saturates were 28-87 % (mean 56 %, median 57 %). Σ16 PAH varied from 2-653 mg kg-1 (mean 32.4 mg kg-1; median 12.5mg kg-1) and Σ31 PAH range was 2.47-852 mg kg-1 (mean 45.4 mg kg-1; median 19.0 mg kg-1). PCB tri-hepta range was 2.2-1052 mg kg-1 (mean 32.4 mg kg-1; median 12.7 mg kg-1) and the ΣPCB7 was 0.3-344 mg kg-1 (mean 9.8 mg kg-1; median 2.7 mg kg-1). This data is associated with the published research paper https://doi.org/10.1017/S1755691018000324 Kim, A.W., Vane, C.H., Moss-Hayes, V. Berriro, D.B., Fordyce, F., Everrett, P. Nathanail, P.C. 2018. Polycyclic aromatic hydrocarbons (PAH) and polychlorinated biphenyls (PCB) in urban soils of Glasgow, UK. Earth and Environmental Science Transactions of the Royal Society of Edinburgh 108, 2-3, 231-248.
Total organic carbon was measured using an Elementar VarioMax C analyser after acidification with 50 % v/v HCl. Non-volatile total petroleum hydrocarbons (TPH) were determined using TLC-FID Iatroscan Mk6. Polycyclic aromatic hydrocarbons (PAH) were extracted using organic solvents and isolated by solid phase extraction (SPE). PAH were measured by Gas-Chromatography Mass Spectrometry (Varian 3800-1200L). Polychlorinated biphenyls were extracted using organic solvents, treated with H2SO4 and separated from other compound groups by SPE. PCB were determined by Gas-Chromatography Mass Spectrometry (Varian 3800-1200L).
CMIP6 ES-Doc ensemble member r1i1p1f1 entry for the historical run with INM-CM4-8 model.
Detailed experiment description for: "all-forcing simulation of the recent past" (historical)
Official CMIP6 DOI Citation: Volodin, Evgeny; Mortikov, Evgeny; Gritsun, Andrey; Lykossov, Vasily; Galin, Vener; Diansky, Nikolay; Gusev, Anatoly; Kostrykin, Sergey; Iakovlev, Nikolay; Shestakova, Anna; Emelina, Svetlana (2019). INM INM-CM4-8 model output prepared for CMIP6 CMIP historical. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.5069
CMIP6 ES-Doc ensemble member r1i1p1f1 entry for the esm-hist run with EC-Earth3-CC model.
Detailed experiment description for: "all-forcing simulation of the recent past with atmospheric CO2 concentration calculated" (esm-hist)
Official CMIP6 DOI Citation: EC-Earth Consortium (EC-Earth) (2021). EC-Earth-Consortium EC-Earth-3-CC model output prepared for CMIP6 CMIP esm-hist. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.4608
CMIP6 ES-Doc ensemble member r1i1p1f1 entry for the hist-noLu run with BCC-CSM2-MR model.
Detailed experiment description for: "historical with no land-use change" (hist-noLu)
Official CMIP6 DOI Citation: Zhang, Yanwu; Wu, Tongwen; Shi, Xueli; Zhang, Fang; Li, Jianglong; Chu, Min; Liu, Qianxia; Yan, Jinghui; Ma, Qiang; Wei, Min (2019). BCC BCC-CSM2MR model output prepared for CMIP6 LUMIP hist-noLu. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.2930
Citation Information - Digital Object Identifier (DOI)
ORIGIN OF FIGURE (IPCC REPORT CHAPTER): Doblas-Reyes, F.J., A.A. Sörensson, M. Almazroui, A. Dosio, W.J. Gutowski, R. Haarsma, R. Hamdi, B. Hewitson, W.-T. Kwon, B.L. Lamptey, D. Maraun, T.S. Stephenson, I. Takayabu, L. Terray, A. Turner, and Z. Zuo, 2021: Linking Global to Regional Climate Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change
SUPPLEMENTARY MATERIAL FOR REPORT CHAPTER: Doblas-Reyes, F.J., A.A. Sörensson, M. Almazroui, A. Dosio, W.J. Gutowski, R. Haarsma, R. Hamdi, B. Hewitson, W.-T. Kwon, B.L. Lamptey, D. Maraun, T.S. Stephenson, I. Takayabu, L. Terray, A. Turner, and Z. Zuo, 2021: Linking Global to Regional Climate Change Supplementary Material. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change
Complex Citation Object: CMIP6 input data usage information for IPCC WGI AR6 figure 10.6, Zenodo. https://doi.org/10.5281/zenodo.14986320
Flight summary file for FAAM BAE-146 flight B447
Flight track for FAAM BAE-146 flight B447
Flight summary file for FAAM BAE-146 flight B438
Flight track for FAAM BAE-146 flight B438
Centre for Environmental Data Analysis (CEDA)
Institute for Numerical Mathematics (INM)
NERC EDS Centre for Environmental Data Analysis
La Agencia Estatal de Meteorología (AEMET)
Institute of Atmospheric Sciences and Climate (CNR-ISAC)
Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA)
Helmholtz Centre for Ocean Research Kiel (Geomar)
Irish Centre for High-End Computing (ICHEC)
International Centre for Theoretical Physics (ICTP)
Institute for Marine and Atmospheric research Utrecht (IMAU)
Portuguese Institute for Sea and Atmosphere (IPMA)
Royal Netherlands Meteorological Institute (KNMI)
Norwegian University of Science and Technology (NTNU)
Swedish Meteorological and Hydrological Institute (SMHI)
NCAS British Atmospheric Data Centre (NCAS BADC)
Facility for Airborne Atmospheric Measurements (FAAM)
Natural Environment Research Council (NERC)
A time series of wind speed & direction, air temperature, humidity and atmospheric pressure measured during seasonal campaigns at six tributaries of Hampshire River Avon from 2013 to 2014
The dataset contain meteorological time series encompassing wind dynamics, and air temperature and relative humidity that were collected in the proximity of the streambed of selected riverine sites within the Hampshire Avon catchment (UK). Six rivers within sub-catchments of contrasting geology (clay, greensand, chalk) and associated river morphology were investigated. Data were obtained from field-based measurements in seasonal campaigns conducted between spring 2013 and winter 2014. Full details about this dataset can be found at https://doi.org/10.5285/03acd63b-a540-42af-a305-e323f6f16f91
If you reuse this data, you should cite: Rovelli, L., Attard, K.M., Stahl, H., Glud, R.N. (2016). A time series of wind speed & direction, air temperature, humidity and atmospheric pressure measured during seasonal campaigns at six tributaries of Hampshire River Avon from 2013 to 2014. NERC Environmental Information Data Centre https://doi.org/10.5285/03acd63b-a540-42af-a305-e323f6f16f91
This resource is made available under the terms of the Open Government Licence
All data were generated by the authors. As time series containing physical parameters were generated, checks were made to ensure that each instrument was properly calibrated and serviced prior to each campaign to keep accuracy and precision within the manufacturer tolerances. Furthermore, the time series were screened for outliers caused by unsuitable meteorological conditions and contamination by the users during concurrent activities on site. All data were checked to ensure reported values were above the detection limit of the respective sensors.
https://catalogue.ceda.ac.uk/uuid/ab029e4d61e94aaba2ecbf40779ad42d ab029e4d61e94aaba2ecbf40779ad42d
Southern OceaN optimal Approach To Assess the carbon state, variability and climatic drivers (SONATA): Atmospheric carbon dioxide, oxygen and atmospheric potential oxygen
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).
All data within this dataset collection are available to any registered CEDA user.
Please see data lineage statements for each dataset within this collection for data lineage details.
River water and suspended sediment chemistry from Nepal (NERC grant NE/N007441/1)
Cation, anion and Sr isotope data from Nepalese river water. Suspended sediment concentration, suspended sediment chemistry presented as wt% oxides from Nepalese rivers. Both the waters and sediments were collected following the 2015 earthquakes.
Samples were collected mid-channel either from bridges or using a boat. Water samples were filtered through 0.2micron PES membranes. Cation samples were acidified to pH 2. Anion samples were unacidified. Both were stored in the dark in a fridge. HCO3- was determined by gran titration in the field. Cations were determined using an Agilent 5100 against synthetic standards. Uncertainties are 5%. Anions were determined using a dionex HPLC against synthetic standards. Sr isotopes were measured using a VG-Sector 54. For the sediments, sediment concentration was determined by weight. Elemental concentrations were determined by Agilent 5100 ICP-OES following complete digestion using Li-tetra-metaborate alkaline fusions. Uncertainties are <10%.
The oceanographic dataset collected during the research cruise identified as BG9919B on board the RV Belgica
This dataset comprises 50 hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, in September 1999 from stations off the coast of the Iberian Peninsula, between 42.0 - 43.0 N, 9.0 - 10.3 W. A complete list of all data parameters are described by the SeaDataNet Parameter Discovery Vocabulary (PDV) keywords assigned in this metadata record. The data were collected by the University of Liège Department of Astrophysics Geophysics and Oceanography as part of the Ocean Margin Exchange (OMEX) II project.
Urea concentration parameters in the water column
Dissolved oxygen parameters in the water column
Concentration of suspended particulate material in the water column
Chlorophyll pigment concentrations in water bodies
Nitrate concentration parameters in the water column
Phosphate concentration parameters in the water column
Phaeopigment concentrations in the water column
Silicate concentration parameters in the water column
Nitrite concentration parameters in the water column
Ammonium and ammonia concentration parameters in water bodies
Carotenoid and flavenoid pigment concentrations in water bodies
Natural Environment Research Council Designated Data Centres
Marine Environmental Data and Information Network
Data are freely available to all following agreement to the terms and conditions of the British Oceanographic Data Centre Data Licence. The licence terms and conditions are available via https://www.bodc.ac.uk/data/documents/nodb/267795/
Usage restrictions are specified in the terms of the licence
This dataset was collected by the originators and provided to the British Oceanographic Data Centre (BODC). Data have undergone BODC quality control procedures described in https://www.bodc.ac.uk/data/documents/nodb/63428/ prior to long term archive and management. Further information about data collection, data processing and data quality reports are linked to the individual profile references in the cruise metadata document linked to this metadata record.
https://catalogue.ceda.ac.uk/uuid/c7c458c5c1984d58ac7f02c8fc8993bb c7c458c5c1984d58ac7f02c8fc8993bb
EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 instrument deployed at Bergerac, France
Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at Bergerac, France. These data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide. The site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07530. See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool. EUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities.
Under the following licence https://artefacts.ceda.ac.uk/licences/cuncgl, appropriate use of these data may fall under personal, academic and policy use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data were collected by instrument and transmitted to the central E-PROFILE processing hub at the UK's Met Office before preparation and delivery to the Centre for Environmental Data Analysis (CEDA). CEDA then produces daily concatenated files before ingestion into the CEDA Archive.
The oceanographic dataset collected during the research cruise identified as CD22 on board the RRS Charles Darwin
The dataset comprises 131 hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, from across the W. Indian Ocean area specifically surrounding and between the Aldabra Islands and the Cosmoledo Group, during April and May of 1987. A complete list of all data parameters are described by the SeaDataNet Parameter Discovery Vocabulary (PDV) keywords assigned in this metadata record. The data were collected by the University of Wales, Bangor School of Ocean Sciences.
Transmittance and attenuance of the water column
BODC Cruise Metadata Report for Belgica Cruise BG9919B
Observing Systems Capability Analysis and Review (OSCAR) Tool metadata page for site 0-20000-0-07530
EUMETNET activities web page detailing the range of activities undertaken by EUMETNET.
BODC Cruise Metadata Report for RRS Charles Darwin Cruise CD22
NERC EDS Environmental Information Data Centre
Vrije Universiteit Brussels, Faculty of Sciences, Department of Chemistry, Laboratory of Analytical and Environmental Chemistry
Université Libre de Bruxelles, Laboratory of Chemical Oceanography and Water Geochemistry
Royal Belgian Institute of Natural Sciences, Management Unit of North Sea and Scheldt Estuary Mathematical Models, Ostend
University of Liège, Laboratory of Oceanology
University of Wales, School of Ocean Sciences