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United Kingdom Butterfly Monitoring Scheme: site location data 2019
This dataset provides the details of all sites on which butterflies have been monitored as part of the UK Butterfly Monitoring Scheme (UKBMS). This includes all standard UKBMS transect sites, Wider Countryside Butterfly Survey (WCBS) sites and targeted species survey sites (timed counts, single-species transects, larval web and egg counts). Data includes the location within the UK, the length and number of sections for the butterfly transect on each site and the number of years each transect has been monitored. The location of some sites are sensitive and are excluded from this dataset. A full set of UKBMS monitoring sites is available in a separate dataset requested via the UKBMS website. The UKBMS started in 1976 with fewer than 50 sites. Since then the number of sites monitored each year has increased to several thousand. There are year new sites each and a small number where the transect is no longer surveyed. Details of this are provided in the site dataset in the form of the first and last year in which each site was surveyed. The majority of site data is provided by recorders at the time a transect is created. Site data are crucial in order to determine where extra recording effort is required and to investigate where butterfly populations are changing most and thus where conservation should be targeted, including across different habitat types. The UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation (BC), the Centre for Ecology & Hydrology (CEH), the British Trust for Ornithology (BTO), and the Joint Nature Conservation Committee (JNCC). The UKBMS is indebted to all volunteers who contribute data to the scheme. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/8a41e1c8-3018-44f1-8d0a-c1b1ad957fc9
Contains UK Butterfly Monitoring Scheme (UKBMS) data © copyright and database right Butterfly Conservation, the Centre for Ecology & Hydrology, British Trust for Ornithology, and the Joint Nature Conservation Committee.
If you reuse this data, you should cite: Botham, M., Brereton, T., Harris, S., Harrower, C., Middlebrook, I., Randle, Z., Roy, D.B. (2020). United Kingdom Butterfly Monitoring Scheme: site location data 2019. NERC Environmental Information Data Centre https://doi.org/10.5285/8a41e1c8-3018-44f1-8d0a-c1b1ad957fc9
This resource is available under the terms of the Open Government Licence
Site location data provide details about the linear transect at each UKBMS site. Data on the location and length and width of each transect are provided by the recorder for each site. Data on how long each transect has been monitored is calculated as the time period between when a transect was first and last monitored.
https://catalogue.ceda.ac.uk/uuid/a55694199afd4993869fafce201c1b0a a55694199afd4993869fafce201c1b0a
ECMWF ERA-Interim: monthly ozone climatology source data from satellite and ozonesondes (1966-1993)
This monthly ozone climatology dataset was produced from a combination of satellite and ozonesonde data from 1966 to 1993. It was produced following the method described by Fortuin and Langematz (1994) and is used by the radiation code within the ECMWF IFS to generate the output from from ERA-Interim reanalysis model runs (see Dee et al. 2011 for further details). The ozone values are given in ppmv on 36 vertical pressure levels and 19 latitudinal bands. These are then internally interpolated to the grid used by the model before entering the radiation scheme. The 19 latitudinal bands the data are present are at: -90, -80, -70, -60, -50, -40, -30, -20, -10, 0, 10, 20, 30, 40, 50, 60, 70, 80, 90 degrees. The climatology was originally produced by Fortuin and Langematz (1994) in response to the many GCMs at that time that used a prescribed ozone field. The aim was to generate a reference field with the required spatial and temporal coverage for use within modelling studies.
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 http://creativecommons.org/licenses/by/3.0/, 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 are generated by the ERA-Interim project team at European Centre for Medium-Range Weather Forecasts (ECMWF) as part of the input into the ECMWF IFS. These data were then extracted from the ECMWF system by Alessio Bozzo at ECMWF and sent to Alison Ming, University of Cambridge, for preparation before submission to Centre for Environmental Data Analysis (CEDA) for ingestion into the archive.
https://catalogue.ceda.ac.uk/uuid/6d09c0895f574e458205f699f2646daf 6d09c0895f574e458205f699f2646daf CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.6hrPlev.psl.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.6hrPlevPt.hus.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.6hrPlevPt.psl.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.6hrPlevPt.ta.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.6hrPlevPt.ua.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.6hrPlevPt.uas.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.6hrPlevPt.va.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.6hrPlevPt.vas.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.6hrPlevPt.zg.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.cl.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.cli.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.clivi.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.clt.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.clw.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.clwvi.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.evspsbl.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.hfls.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.hfss.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.hur.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.hurs.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.hus.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.huss.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.pr.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.prc.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.prsn.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.prw.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.ps.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.psl.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.rlds.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.rldscs.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.rlus.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.rlut.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.rlutcs.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.rsds.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.rsdscs.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.rsdt.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.rsus.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.rsuscs.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.rsut.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.rsutcs.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.rtmt.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.sfcWind.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.ta.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.tas.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.tasmax.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.tasmin.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.tauu.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.tauv.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.ts.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.ua.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.uas.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.va.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.vas.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.wap.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Amon.zg.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Eday.tauu.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Eday.tauv.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.LImon.snw.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.Lmon.mrso.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.day.clt.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.day.hfls.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.day.hfss.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.day.hur.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.day.hurs.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.day.hus.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.day.huss.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.day.pr.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.day.prc.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.day.prsn.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.day.psl.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.day.rlds.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.day.rlus.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.day.rlut.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.day.rsds.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.day.rsus.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.day.sfcWind.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.day.sfcWindmax.gn.v20190923.v20190923 CMIP6.HighResMIP.MPI-M.MPI-ESM1-2-XR.highresSST-present.r1i1p1f1.day.ta.gn.v20190923.v20190923 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WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-XR model output for the "highresSST-present" experiment
The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-XR model output for the "forced atmosphere experiment for 1950-2014" (highresSST-present) experiment. These are available at the following frequencies: 6hrPlev, 6hrPlevPt, Amon, Eday, LImon, Lmon 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 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 Max Planck Institute for Meteorology (MPI-M) 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/9f002827ba7d48f59019fcfd3577a57e 9f002827ba7d48f59019fcfd3577a57e esacci.GHG.satellite-orbit-frequency.L2.CO2.TANSO-FTS.GOSAT.EMMA.v2-2c.r1.v20180702 esacci.GHG.satellite-orbit-frequency.L2.CO2.multi-sensor.multi-platform.EMMA.v2-2a.r1.v20180702 esacci.GHG.satellite-orbit-frequency.L2.CO2.multi-sensor.multi-platform.EMMA.v2-2b.r1.v20180702
ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column averaged CO2 Merged Product generated with the EMMA algorithm (CO2_EMMA), v2.2
The CO2_EMMA dataset comprises of level 2, column-averaged dry-air mole fractions (mixing ratios) of carbon dioxide (XCO2). It has been produced using the ensample median algorithm EMMA to produce a merged SCIAMACHY and GOSAT XCO2 Level 2 product, as part of the ESA Greenhouse Gases Climate Change Initiative (GHG_cci) project. This version of the product is v2.2, and forms part of the Climate Research Data Package 4. The EMMA algorithm has been applied to level 2 data from multiple XCO2 retrievals from the Japanese Greenhouse gases Observing Satellite (GOSAT) and the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) on board the European Space Agency's environmental research satellite ENVISAT. This merged SCIAMACHY and GOSAT XCO2 Level 2 product is primarily used as a comparison tool to assess the level of agreement / disagreement of the various input products (for model-independent global comparison, i.e. for comparisons not restricted to TCCON validation sites and independent of global model data). For further information on the product and the EMMA algorithm please see the EMMA website, the GHG-CCI Data Products webpage or the Product Validation and Intercomparison Report (PVIR).
column-averaged dry air mole fraction of CO2
SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY
Thermal And Near-infrared Sensor for Carbon Observation - Fourier Transform Spectrometer
Under the following licence https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_ghg_terms_and_conditions.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 processed by the ESA CCI GHG project team and supplied to CEDA as part of the ESA CCI Open Data Portal Project
Mechanical and acoustic properties of antigorite during brittle deformation (NERC grant NE/M016471/1)
These data contain time series of stress, strain, confining pressure, elastic wave velocities of samples of Vermont antigorite and Westerly granite deformed under hydrostatic and triaxial conditions at room temperature and dry conditions. This dataset is used and fully described/interpreted in the paper: David, E.C., N. Brantut, L.N. Hansen and T.M. Mitchell, Absence of stress-induced anisotropy during brittle deformation in antigorite serpentinite, submitted to J. Geophys. Res.
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.
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.
https://catalogue.ceda.ac.uk/uuid/7d7214cdff734ade9588c8157acf79d0 7d7214cdff734ade9588c8157acf79d0 CMIP6.ScenarioMIP.THU.CIESM.ssp585.r1i1p1f1.Amon.huss.gr.v20200605.v20200605 CMIP6.ScenarioMIP.THU.CIESM.ssp585.r1i1p1f1.Amon.pr.gr.v20200605.v20200605 CMIP6.ScenarioMIP.THU.CIESM.ssp585.r1i1p1f1.Amon.prw.gr.v20200605.v20200605 CMIP6.ScenarioMIP.THU.CIESM.ssp585.r1i1p1f1.Amon.ps.gr.v20200605.v20200605 CMIP6.ScenarioMIP.THU.CIESM.ssp585.r1i1p1f1.Amon.psl.gr.v20200605.v20200605 CMIP6.ScenarioMIP.THU.CIESM.ssp585.r1i1p1f1.Amon.rlut.gr.v20200605.v20200605 CMIP6.ScenarioMIP.THU.CIESM.ssp585.r1i1p1f1.Amon.rlutcs.gr.v20200605.v20200605 CMIP6.ScenarioMIP.THU.CIESM.ssp585.r1i1p1f1.Amon.rsds.gr.v20200605.v20200605 CMIP6.ScenarioMIP.THU.CIESM.ssp585.r1i1p1f1.Amon.rsut.gr.v20200605.v20200605 CMIP6.ScenarioMIP.THU.CIESM.ssp585.r1i1p1f1.Amon.ta.gr.v20200605.v20200605 CMIP6.ScenarioMIP.THU.CIESM.ssp585.r1i1p1f1.Amon.tas.gr.v20200605.v20200605 CMIP6.ScenarioMIP.THU.CIESM.ssp585.r1i1p1f1.Amon.tasmax.gr.v20200605.v20200605 CMIP6.ScenarioMIP.THU.CIESM.ssp585.r1i1p1f1.Amon.tasmin.gr.v20200605.v20200605 CMIP6.ScenarioMIP.THU.CIESM.ssp585.r1i1p1f1.Amon.ts.gr.v20200605.v20200605 CMIP6.ScenarioMIP.THU.CIESM.ssp585.r1i1p1f1.Amon.ua.gr.v20200605.v20200605 CMIP6.ScenarioMIP.THU.CIESM.ssp585.r1i1p1f1.Amon.va.gr.v20200605.v20200605 CMIP6.ScenarioMIP.THU.CIESM.ssp585.r1i1p1f1.Amon.zg.gr.v20200605.v20200605 CMIP6.ScenarioMIP.THU.CIESM.ssp585.r1i1p1f1.LImon.snd.gr.v20200417.v20200417 CMIP6.ScenarioMIP.THU.CIESM.ssp585.r1i1p1f1.LImon.snm.gr.v20200417.v20200417 CMIP6.ScenarioMIP.THU.CIESM.ssp585.r1i1p1f1.LImon.snw.gr.v20200417.v20200417 CMIP6.ScenarioMIP.THU.CIESM.ssp585.r1i1p1f1.Lmon.mrro.gr.v20200417.v20200417 CMIP6.ScenarioMIP.THU.CIESM.ssp585.r1i1p1f1.Lmon.mrros.gr.v20200417.v20200417 CMIP6.ScenarioMIP.THU.CIESM.ssp585.r1i1p1f1.Lmon.mrso.gr.v20200417.v20200417 CMIP6.ScenarioMIP.THU.CIESM.ssp585.r1i1p1f1.Ofx.deptho.gn.v20200220.v20200220 CMIP6.ScenarioMIP.THU.CIESM.ssp585.r1i1p1f1.Ofx.volcello.gn.v20200220.v20200220 CMIP6.ScenarioMIP.THU.CIESM.ssp585.r1i1p1f1.Omon.msftbarot.gn.v20200220.v20200220 CMIP6.ScenarioMIP.THU.CIESM.ssp585.r1i1p1f1.Omon.so.gn.v20200220.v20200220 CMIP6.ScenarioMIP.THU.CIESM.ssp585.r1i1p1f1.Omon.tauuo.gn.v20200220.v20200220 CMIP6.ScenarioMIP.THU.CIESM.ssp585.r1i1p1f1.Omon.tauvo.gn.v20200220.v20200220 CMIP6.ScenarioMIP.THU.CIESM.ssp585.r1i1p1f1.Omon.thetao.gn.v20200220.v20200220 CMIP6.ScenarioMIP.THU.CIESM.ssp585.r1i1p1f1.Omon.tos.gn.v20200220.v20200220 CMIP6.ScenarioMIP.THU.CIESM.ssp585.r1i1p1f1.Omon.uo.gn.v20200220.v20200220 CMIP6.ScenarioMIP.THU.CIESM.ssp585.r1i1p1f1.Omon.vo.gn.v20200220.v20200220 CMIP6.ScenarioMIP.THU.CIESM.ssp585.r1i1p1f1.Omon.zos.gn.v20200220.v20200220 CMIP6.ScenarioMIP.THU.CIESM.ssp585.r1i1p1f1.SImon.siarean.gn.v20200420.v20200420 CMIP6.ScenarioMIP.THU.CIESM.ssp585.r1i1p1f1.SImon.siareas.gn.v20200420.v20200420 CMIP6.ScenarioMIP.THU.CIESM.ssp585.r1i1p1f1.SImon.siconc.gn.v20200420.v20200420 CMIP6.ScenarioMIP.THU.CIESM.ssp585.r1i1p1f1.SImon.sithick.gn.v20200420.v20200420 CMIP6.ScenarioMIP.THU.CIESM.ssp585.r1i1p1f1.SImon.sivoln.gn.v20200420.v20200420 CMIP6.ScenarioMIP.THU.CIESM.ssp585.r1i1p1f1.SImon.sivols.gn.v20200420.v20200420
WCRP CMIP6: Tsinghua University - Department of Earth System Science (THU) CIESM model output for the "ssp585" experiment
The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Tsinghua University - Department of Earth System Science (THU) CIESM model output for the "update of RCP8.5 based on SSP5" (ssp585) experiment. These are available at the following frequencies: Amon, LImon, Lmon, Ofx, Omon and SImon. 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 Tsinghua University - Department of Earth System Science (THU) scientists before publication via the Earth Systems Grid Federation (ESGF) and a copy obtained by the Centre for Environmental Data Analysis (CEDA).
Major and trace element data for glasses and melt inclusions from Midfell, Snaefellsjokull and Oraefajokull, Iceland (NERC Grant NE/P002331/1)
Major and trace element data for olivine- and plagioclase-hosted silicate melt inclusions, their host minerals, and associated matrix glasses, from Midfell, Snaefellsjokull and Oraefajokull, Iceland. Melt inclusion compositions are provided as measured, and corrected for post-entrapment crystallization. Reflected light images of the melt inclusions.
Major elements acquired by electron probe microanalysis. Trace elements acquired by secondary ion mass spectrometry. Melt inclusion compositions corrected for post-entrapment crystallization. All methods and data reduction procedures are described in the accompanying files.
Volcanological data for the Echo Canyon Eruption, Ascension Island, South Atlantic: size, abundance, density, vesicle texture and composition of pumice and lava clasts, collected between 2018 and 2020 (NERC Grant NE/L002582/1)
Compositional and volcanological data from a small-volume explosive-effusive volcanic eruption on Ascension Island, South Atlantic. Multiple samples of pumice and lava spanning the whole eruption sequence were collected from several locations in the area surrounding NE-Bay on Ascension Island. This dataset includes compositional, clast size, abundance, clast density and vesicle texture data for the products of the Echo Canyon eruption. Data was collected between the 12th June 2018 and the 30th August 2020 on Ascension Island and at the University of East Anglia, UK. Compositional data was collected using X-ray fluorescence (XRF), density of pumice clasts using the Archimedes suspension method and textural data by visual inspection of sample vesicle shape and size, all at the University of East Anglia, UK. Clast size and abundance was semi-quantitatively estimated in the field on Ascension Island and later checked against photographs. This data provides a framework through which changes to eruption style were reconstructed and is useful to any persons wishing to study or compare small-volume eruption deposits which record eruptive transitions. The data supports and forms the basis of Davies et al., (2021) (DOI : 10.1007/s00445-021-01480-1) and forms part of B V Davies’ Natural Environment Research Council funded PhD project investigating eruption controls on Ascension Island. Bridie V Davies collected and interpreted the data with assistance from Jane H Scarrow and Richard J Brown on Ascension Island, and Jenni Barclay at the University of East Anglia, Bertrand Leze performed XRF on prepared samples. All data collected is included in this resource.
1) data obtained by X-ray fluorescence at the Univeristy of East Anglia, UK. 2) Data collected by Bridie V Davies using field observations of deposits in outcrop. Estimated mean and modal clase size (not using seiving). 3) Density data collected using the suspension method based on the Archimedes principle as outlined in Houghton and Wilson (1989) and Shea et al., (2010) 4) Proportions of pumice clasts in each of five textural groups identified within the units.
The oceanographic dataset collected during the research cruise identified as 0202C_2 on board the FRV Clupea
The dataset comprises 9 hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, from across the Inner Seas off the West Coast of Scotland area specifically Loch Alsh, Loch Duich, Loch Hourn, Loch Kishorn, Loch Nevis, Sound of Sleat and around the Small Isles. Data were collected during January and February of 2002. 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 Fisheries Research Services Aberdeen Marine Laboratory.
Electrical conductivity of the water column
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.
EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 instrument deployed at Ilanz, Switzerland
Daily concatenated files of ceilometer cloud base height and aerosol profile data from MeteoSwiss's Vaisala CL31 deployed at Ilanz, Switzerland. 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: 0-20000-0-06789. 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.
Restricted data: please submit an application using the REQUEST ACCESS link for access.
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.
Jan P. Fortuin and Ulrike Langematz "Update on the global ozone climatology and on concurrent ozone and temperature trends", Proc. SPIE 2311, Atmospheric Sensing and Modelling, 207 (January 4, 1995); doi:10.1117/12.198578; http://dx.doi.org/10.1117/12.198578
Dee, D. P., and Coauthors, 2011: The ERA-Interim reanalysis: configuration and performance of the data assimilation system. Quarterly Journal of the Royal Meteorological Society, 137, 553–597, doi:10.1002/qj.828.
CMIP6 ES-Doc ensemble member r1i1p1f1 entry for the highresSST-present run with MPI-ESM1-2-XR model.
Detailed experiment description for: "forced atmosphere experiment for 1950-2014" (highresSST-present)
Official CMIP6 DOI Citation: von Storch, Jin-Song, et. al. (2017). MPI-M MPI-ESM1.2-XR model output prepared for CMIP6 HighResMIP highresSST-present. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.10305
Reuter et al, 2013,'A joint effort to deliver satellite retrieved atmospheric CO2 concentrations for surface flux inversions: the ensemble median algorithm EMMA'
Product Validation and Intercomparison Report (PVIRv5)
ESA CCI Greenhouse Gases project website
CMIP6 ES-Doc ensemble member r1i1p1f1 entry for the ssp585 run with CIESM model.
Detailed experiment description for: "update of RCP8.5 based on SSP5" (ssp585)
Official CMIP6 DOI Citation: Huang, Wenyu (2020). THU CIESM model output prepared for CMIP6 ScenarioMIP ssp585. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.8863
Citation Information - Digital Object Identifier (DOI)
BODC Cruise Metadata Report for FRV Clupea Cruise 0202C_2
EUMETNET activities web page detailing the range of activities undertaken by EUMETNET.
Observing Systems Capability Analysis and Review (OSCAR) Tool metadata page for site 0-20000-0-06789
NERC EDS Environmental Information Data Centre
Centre for Environmental Data Analysis (CEDA)
European Centre for Medium-Range Weather Forecasts (ECMWF)
Max Planck Institute for Meteorology (MPI-M)
Tsinghua University - Department of Earth System Science (THU)
Fisheries Research Services, Aberdeen Marine Laboratory
NERC EDS Centre for Environmental Data Analysis
Polluted Troposphere TORCH1: University of East Anglia Formaldehyde (HCHO) measurements at Writtle College, UK
Tropospheric ORganic CHemistry Experiment (TORCH) was a Natural Environment Research Council (NERC) Polluted Troposphere Research Programme project (Round 1 - NER/T/S/2002/00145. Duration 2002 - 2005) led by A. Lewis, University of York. TORCH 1 took place in July and August 2003 at Writtle College, near Chelmsford, Essex. This dataset contains formaldehyde measurements from a formaldehyde analyser.
Under the following licence https://artefacts.ceda.ac.uk/licences/missing_licence.pdf, appropriate use of these data may fall under unstated 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 at Writtle College, near Chelmsford, Essex between 27th July - 30th August 2003 and in April and May 2004 at Weybourne Atmospheric Observatory. Data files supplied as is to the BADC by the campaign participants.
British Geological Survey (BGS) Geophysical Survey 1969/2: Northern Irish Sea and Outer Solway Firth (19/04/1969 to 16/05/1969)
Report: Arnold, SE. 1971. Cruise Report for MV Moray Firth IV North Irish Sea Survey. MGU Project 69/02. (IGS Report No 17) Positioning: Main Chain Decca with Mark12 receiver Echo Sounding: Kelvin Hughes MS 36 and MS32 Sonar Systems: EG&G side-scan sonar Kelvin Hughes MS43 Mk1 transit sonar Seismic Systems: Sparker System: EG&G sparker system with 16 element hydrophone streamer. Most lines run at either 0.5kJ or 3kJ Magnetometer: Varian magnetometer. See also IGS report 71/19.
Geophysical equipment types used included: Echo Sounder, Magnetometer, Sparker and Transit Sonar. The survey was undertaken by British Geological Survey. For more detailed information on the acquisition equipment and data collection techniques, operational standards, data processing methods and quality control procedures used on this survey see the Report of Survey/Cruise Report and associated documentation where available. The information available may vary depending on the age of the survey. Data are checked and loaded to the BGS Coastal and Marine data management system following BGS marine data management procedures.
NCAS British Atmospheric Data Centre (NCAS BADC)