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Continents, countries, sea regions of the world.
British Geological Survey (BGS) Geophysical Survey 1970/VV/7: South of Mull and Tiree (26/06/1970 to 11/07/1970)
This geophysical survey is thought to have been carried out by Institute of Geological Sciences now British Geological Survey (BGS) for BGS, the survey took place in June to July 1970 in the Tiree area and south of Mull on board the RV Vickers Venturer. The purpose is thought to have been to collect data as part of the UK regional mapping programme. Beach sample data were collected for the marine geology unit UK regional mapping programme. No BGS survey report currently available however reference to other RV Vickers Venturer surveys undertaken by IGS can be found in IGS reports 71/16 and 73/14.
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.
Geophysical equipment types used included: Echo Sounder, Gravimeter, Magnetometer and Sparker. 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.
https://catalogue.ceh.ac.uk/id/2da56eb1-ff01-48de-ba2a-d3afceefc85f 10.5285/2da56eb1-ff01-48de-ba2a-d3afceefc85f
Seedlings growth in a fertilized forest in Central Amazonia (2019 – 2020)
Data are presented showing seedling height, diameter at ground height (DGH), total number of leaves, number of leaves with herbivory damage and leaf mortality, from a plot based fertilisation experiment. The experiment was carried out at the Biological Dynamics of Forest Fragments Project (BDFFP) approximately 100 km north of Manaus. Data were collected bimonthlyfrom February 2019 to January 2020, by the dataset first author. Height measurements were made with a tape measure and DRH measurements were made with digital calipers. Leaf numbers, damage and mortality were made from visual observations. The data were collected to investigate the possible effects of different fertiliser applications on seedling height, totalnumber of leaves, number of leaves with herbivory damage and leaf mortality.The work was carried out as part of the Amazon Fertilization Experiment (AFEX), funded by the Natural Environment Research Council (NERC), Award reference NE/L007223/1, by the Brazilian government (Researcher scholarship) and the Biological Dynamics of Forest Fragments Project (BDFFP - logistical support and camps maintanance). Full details about this dataset can be found at https://doi.org/10.5285/2da56eb1-ff01-48de-ba2a-d3afceefc85f
Biological Dynamics of Forest Fragments Project
©National Institute of Amazonian Research
If you reuse this data, you should cite: Antonieto, F.A., Assis, R.L., Hartley, I.P., Di Ponzio, R., Quesada, C.A. (2020). Seedlings growth in a fertilized forest in Central Amazonia (2019 – 2020). NERC Environmental Information Data Centre https://doi.org/10.5285/2da56eb1-ff01-48de-ba2a-d3afceefc85f
This resource is available under the terms of the Open Government Licence
Within each sub-plot, all plant individuals greater than 20 centimetres in height and with diameter at ground height (DGH) greater than 1 centimetre were identified and tagged. Seedling height was measured from ground level to the highest apical yolk with measuring tapes and DGH was measured with digital calipers. Total leaves number and total of leaves with herbivory damage was accounted for each tagged seedling. Data were collected bimonthly, during a period of 12 months, totaling six replications in each sub-plot, four in the rainy season and two in the dry season. Data were recorded on to field sheets. These data were then transferred to an Excel spreadsheet. Data were exported as a comma separated file for ingestion into the EIDC.
Groundwater chemistry, hydrogeological data, geophysical investigations, borehole chippings analysis and local geology for the Tambora region of Tanzania. To investigate low permeability rocks in sub-Saharan Africa.
This data was produced to support a project looking at low permeability rocks in sub-Saharan Africa. Multiple boreholes were drilled for the project with geology identified from chippings. Groundwater chemistry was analysed from the resulting boreholes. The data contained within this record is from the CD that accompanies the report: J Davies and B É Ó Dochartaigh. 2002. Low Permeability Rocks In Sub-Saharan Africa. Groundwater development in the Tabora Region, Tanzania. British Geological Survey Internal Report, CR/02/191N. 71pp http://nora.nerc.ac.uk/id/eprint/505608/1/CR_02_191N.pdf The CD has not been uploaded in full elsewhere.
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 lineage information see report http://nora.nerc.ac.uk/id/eprint/505608/1/CR_02_191N.pdf
Gridded (1km) physical river characteristics for the UK
[THIS DATASET HAS BEEN WITHDRAWN]. The dataset includes five files of UK physical river characteristics including four files of gridded data at 1km × 1km resolution and one comma separated table. The data includes: - Outflow drainage directions (D8) - Catchment areas (km2) - Widths of bankfull rivers (m) - Depths of bankfull rivers (m) - NRFA gauging station locations (easting (m), northing (m)) The comma separated NRFA (National River Flow Archive) gauging station locations table provides the best locations of 1499 river flow gauging stations on the 1km grids, together with the approximate error in the 1km × 1km gridded delineation of the upstream catchment area. All datasets are provided on the British National Grid. Full details about this dataset can be found at https://doi.org/10.5285/6da95899-f3b8-4089-b621-560818aa78ba
© Crown copyright and database rights 2020 Ordnance Survey (100025252)
If you reuse this data, you should cite: Davies, H.N., Rameshwaran, P., Bell, V.A. (2022). Gridded (1km) physical river characteristics for the UK. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/6da95899-f3b8-4089-b621-560818aa78ba
The 1km × 1km outflow drainage direction and catchment areas datasets are generated from a 50m × 50m resolution digital terrain: IHDTM (Integrated Hydrological Digital Terrain Model). Bankfull river widths on a 1km × 1km grid are generated using the OS MasterMap Water Network Layer width data in a regression relationship with geomorphic and rainfall characteristics. The 1km × 1km gridded bankfull river depth dataset is generated using observed measurements from a range of sources in a regression relationship with geomorphic and rainfall characteristics. Finally, the NRFA gauging station location dataset on a 1km × 1km grid is generated by identifying the location (easting, northing) on the catchment areas dataset that best represents the true gauging station location. An indication of the quality of these data is provided by the % error between the 1km-derived and the IHDTM catchment areas. See supporting information for more details.
Maritime and Coastguard Agency (MCA) Bathymetric Survey HI1059, W Approaches to English Channel, (01/05/2004 to 01/05/2005)
Samples and associated geological data are held at the British Geological Survey for Maritime Coastguard Agency (MCA), Civil Hydrography Programme (CHP), Bathymetric Survey HI1059; W Approaches to English Channel, Area in SqKm: 8822, (01/05/2004 to 01/05/2005), Standard: IHO S44ed4 Order 1. Contract: W Approaches to. FY 2004/05. Contractor: Gardline.
Sample equipment types used included: Grab: Van Veen. Gardline was contracted to undertake the survey on behalf of Maritime and Coastguard Agency. 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.
Hornblende 40Ar/39Ar dates for Miocene sediment samples collected at Site U1521 during International Ocean Discovery Program (IODP) Expedition 374 to the Ross Sea, Antarctica
This dataset comprises 40Ar/39Ar dated detrital hornblende grains for 5 samples from IODP Expedition 374 Site U1521 to the Ross Sea, collected on the RV JOIDES Resolution. Shipboard biostratigraphy and magnetostratigraphy suggests the samples are early Miocene in age (McKay et al., 2019, Proceedings of the International Ocean Discovery Program). These data can be compared to terrestrial geochronological data, allowing the changing provenance of the sediments to be traced.
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.
The dataset has been formally approved by BGS for access by external clients under a BGS Digital Data Licence, issued via BGS's IPR Section. The dataset must not be provided to, or be accessible by, an external client until the IPR Section confirms that signed licence documentation is in place. Refer to the IPR Section (DigitalLE@bgs.ac.) if further advice is required.. Constraint applies until 2022-12-31
Hornblende grains were picked from the magnetic separate of samples prepared for U-Pb dating of zircons (150-300 µm size fraction). The samples were co-irradiated with Fish Canyon sanidine (28.201 ± 0.046 Ma) (Kupier et al., 2008, Science) for 8 hours in the CLICIT (Cadmium Lined In-Core Irradiation Tube) facility at Oregon State University reactor. Samples were loaded into planchettes, evacuated in a chamber with a ZnSe window, then heated with a CO2 laser to release the gas. Samples were exposed to hot Zr-Al getters to remove reactive gases, and the inert gases were let into a VG5400 noble gas mass spectrometer and measured with peak hopping on an analogue multiplier in static vacuum mode. Backgrounds were corrected based on frequent measurements of blanks (~ every 4 unknowns) and mass discrimination was corrected based on measurements of air (~ every 12 unknowns). Corrections for nuclear interferences are based on reported measurements from the Berkeley Geochronology Lab (Renne, 1995, EPSL). Analyses and data reduction were performed using MassSpec, a program written by Al Deino at the BGC. Errors are reported at 1 sigma.
ESA Biomass Climate Change Initiative (Biomass_cci): Global datasets of forest above-ground biomass for the years 2010, 2017 and 2018, v3
This dataset comprises estimates of forest above-ground biomass for the years 2010, 2017 and 2018. They are derived from a combination of Earth observation data, depending on the year, from the Copernicus Sentinel-1 mission, Envisat’s ASAR instrument and JAXA’s Advanced Land Observing Satellite (ALOS-1 and ALOS-2), along with additional information from Earth observation sources. The data has been produced as part of the European Space Agency's (ESA's) Climate Change Initiative (CCI) programme by the Biomass CCI team. This release of the data is version 3. Compared to version 2, this is a consolidated version of the Above Ground Biomass (AGB) maps. This version also includes a preliminary estimate of AGB changes for two epochs. The data products consist of two (2) global layers that include estimates of: 1) above ground biomass (AGB, unit: tons/ha i.e., Mg/ha) (raster dataset). This is defined as the mass, expressed as oven-dry weight of the woody parts (stem, bark, branches and twigs) of all living trees excluding stump and roots 2) per-pixel estimates of above-ground biomass uncertainty expressed as the standard deviation in Mg/ha (raster dataset) In addition, files describing the AGB change between 2018 and the other two years are provided (labelled as 2018_2010 and 2018_2017). These consist of two sets of maps: the standard deviation of the AGB change and a quality flag of the AGB change. Note that the change itself can be simply computed as the difference between two AGB maps, so is not provided directly. Data are provided in both netcdf and geotiff format.
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/esacci_biomass_terms_and_conditions_v2.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 was created by the Biomass CCI team.
https://catalogue.ceda.ac.uk/uuid/7f31695e4b6d4ff5af71ccae213c910b 7f31695e4b6d4ff5af71ccae213c910b
ESA Ocean Colour Climate Change Initiative (Ocean Colour CCI): 8-day global ocean colour data products gridded on a geographic projection (All Products), Version 1.0
The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies. This dataset contains all their Version 1.0 generated ocean colour products on a geographic projection at 4 km spatial resolution and at an 8-day time resolution. Data products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided. This data product is on a geographic grid projection, which is a direct conversion of latitude and longitude coordinates to a rectangular grid, typically a fixed multiplier of 360x180. The netCDF files follow the CF convention for this projection with a resolution of 8640x4320. (A separate dataset is also available for data on a sinusoidal projection.)
multiple products (chla, nlw, IOPs, etc)
Under the following licence https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_oc_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.
This data has been produced by the ESA Ocean Colour CCI project and provided to CEDA in the context of the ESA CCI Open Data Portal project
Raw data, model outputs and plotting scripts resulting from NERC Grant NE/L011050/2: Rethinking carbonate diagenesis: clues to past carbon cycling from an overlooked carbon sink
Supplemental files (plotting scripts, tables) in support of Greene et al., 2019. Early Cenozoic Decoupling of Climate and Carbonate Compensation Depth Trends. PP2019.Greeneetal.SupplementaryTables.xlsx Tables S1-S3. Raw data for CCD time-slice reconstruction for NP8, NP10-11, and NP12-13, respectively. Raw data for each CCD time-slice reconstruction (program, site number, current and paleo- latitude/longitude, underlying basement age, current water depth, sediment cover, reconstructed paleodepth (see Methods), wt% CaCO3 mean, and individual wt% CaCO3 measurements. Tables S4-S18. Model output: time series of pCO2 and Ca2+ weathering flux for each ensemble #1 experiment. Tables S19-S22. Final year model output for each experiment in each ensembles 1-4. Final year model output for each experiment ensembles 1-4 (outgassing rate modification factor relative to x3 pre-industrial pCO2, pCO2, mean ocean [DIC], mean ocean [ALK], POC export, Ca2+ weathering flux, mean ocean temperature, mean land surface air temperature, overturning stream function min/max, and final year CSH and CCD (following Goodwin and Ridgwell [2010]). For ensembles 2-4 bolded columns indicate model variables roughly fixed across all experiments within the ensemble. PP2019_Greeneetal_Subsidence.m Matlab script for calculating paleodepth from current water depth and seafloor age. This script plots a subsidence curve for a single location and displays the paleodepth for that location at a user-specified point in the past using the subsidence equations from Cramer et al., 2009 'Ocean overturning since the Late Cretaceous: Inferences from a new benthic foraminiferal isotope compliation', Paleoceanography 24(4), PA4216 with a simplified sediment unloading term. PP2019_Greeneetal_plot_CCDcontour.m Matlab script for contouring depth/wt% carbonate data into contoured CCD snapshot. In support of Published Paper: Greene, S.E., Ridgwell, A., Kirtland Turner, S., Schmidt, D.N., Pälike, H., Thomas, E., Greene, L.K. and Hoogakker, B.A.A. (2019), Early Cenozoic Decoupling of Climate and Carbonate Compensation Depth Trends. Paleoceanography and Paleoclimatology, 34: 930-945. https://doi.org/10.1029/2019PA003601
HadISDH: gridded global monthly land surface humidity data version 3.0.0.2016p
This is the 3.0.0.2016p version of the HadISDH land data. The data are provided by the Met Office Hadley Centre. This version spans 1/1/1973 to 31/12/2016. The data are monthly gridded (5 degree by 5 degree) and station products are available for temperature and six humidity variables: specific humidity (q), relative humidity (RH), dew point temperature (Td), wet bulb temperature (Tw), vapour pressure (e), dew point depression (DPD). Data are provided in either NetCDF or ASCII format. This version extends the 2.1.0.2015p version to the end of 2016 and constitutes a major update to HadISDH due to a major update of the source data HadISD. Improvements in this version include increased numbers of stations (~8000) and updated methodologies. Users are advised to read the update document in the docs section for full details. Uncertainty estimates are provided at the station and gridbox level covering station uncertainty (climatological, homogenisation and measurement uncertainty), gridbox spatial and temporal sampling uncertainty and combined station and sampling uncertainty. To keep up to date with updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS. For more detailed information e.g bug fixes, routine updates and other exploratory analysis, see the HadISDH blog: http://hadisdh.blogspot.co.uk/ References: When using the dataset in a paper you must cite the following papers (see Docs for link to the publications) and this dataset (using the "citable as" reference) : Willett, K. M., Dunn, R. J. H., Thorne, P. W., Bell, S., de Podesta, M., Parker, D. E., Jones, P. D., and Williams Jr., C. N.: HadISDH land surface multi-variable humidity and temperature record for climate monitoring, Clim. Past, 10, 1983-2006, doi:10.5194/cp-10-1983-2014, 2014. Smith, A., N. Lott, and R. Vose, 2011: The Integrated Surface Database: Recent Developments and Partnerships. Bulletin of the American Meteorological Society, 92, 704–708, doi:10.1175/2011BAMS3015.1 We strongly recommend that you read these papers before making use of the data, more detail on the dataset can be found in an earlier publication: Willett, K. M., Williams Jr., C. N., Dunn, R. J. H., Thorne, P. W., Bell, S., de Podesta, M., Jones, P. D., and Parker D. E., 2013: HadISDH: An updated land surface specific humidity product for climate monitoring. Climate of the Past, 9, 657-677, doi:10.5194/cp-9-657-2013.
Under the following licence http://www.nationalarchives.gov.uk/doc/non-commercial-government-licence/version/2/, 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.
HadISDH, a global land surface humidity dataset is produced by the Met Office Hadley Centre in collaboration with Maynooth University, NOAA NCEI, NPL and CRU. It is based on the quality controlled sub-daily HadISD from the Met Office Hadley Centre which is in turn based on the ISD dataset from NOAA's NCEI. It is passed to the BADC for archiving and distribution.
Low permeability rocks in sub-Saharan Africa : groundwater development in the Tabora Region, Tanzania
Citation Information - Digital Object Identifier (DOI)
Lavender, S. et al, 'The Ocean Colour Climate Change Initiative',Ocean Challenge, Vol.21, No.1, 2015
Integrated surface database reference paper
NERC EDS Environmental Information Data Centre
Lamont-Doherty Earth Observatory of Columbia University
NERC EDS Centre for Environmental Data Analysis
Centre for Environmental Data Analysis (CEDA)
Department of Geography, Maynooth University
National Centers for Environmental Information - NOAA (NCEI-NOAA)
University of East Anglia Climatic Research Unit (CRU)
Map based index (GeoIndex) offshore hydrocarbon wells
This layer of the map based index (GeoIndex) shows the location, with basic metadata, of selected DECC (Department of Energy & Climate Change) offshore hydrocarbon wells. The source data for this layer was downloaded from the DECC website at www.og.decc.gov.uk/information/maps_offshore.htm. These are DECC owned data and information and supply of the actual data is through the DECC release agents.
Free access. The usual BGS licensing terms and conditions apply to external use of the data.
GeoIndex is a publically-accessible map-based index to the datasets that BGS have collected or have obtained from other sources. All datasets presented are derived from the BGS corporate data holdings.
British Geological Survey (BGS) Sampling Survey 1990/1: Drilling, west of Scotland
This sampling survey has been carried out by, British Geological Survey (BGS) in collaboration with a group of oil companies for Offshore Regional Mapping, the survey took place from June to July 1990 to the north and west of The Hebrides on board the M/V Bucentaur. The purpose was to collect data to enhance the geological knowledge in the area. Sample data (borehole) were collected using wireline drilling equipment. These data are archived by BGS. Technical details of the survey are contained in BGS report WB/90/26C.
Sample equipment types used included: Borehole. Not entered was contracted to undertake the survey on behalf of 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.
British Geological Survey (BGS) Geophysical Survey 1975/WH/3: Firth of Forth (27/02/1975 to 10/03/1975)
Report: Owens, R. 1975. Firth of Forth engineering cruise, MV Whitethorn, Continental Shelf Unit II Cruise 75/WH/03. Marine Geology Internal Report 75/08
Geophysical equipment types used included: Echo Sounder, Magnetometer, Pinger and Sparker. 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.