NERC Data Catalogue Service
NERC Data Catalogue Service (Natural Environment Research Council)
Continents, countries, sea regions of the world.
Plagioclase chemistry and shape from experiments and samples from Mount St Helens, Washington, USA
Textural data and major element geochemical data for plagioclase crystallisation experiments. Data were collected 2020-2022. The aim of the experiments was to produce plagioclase crystals at a variety of sizes at low to moderate undercooling conditions (~0 < ΔT < 45 °C) and characterise their shapes. Experiments, data acquisition and processing were conducted by Dr Martin Mangler and Eshbal Geifman. This research was funded by a NERC grant to Madeleine Humphreys, Richard Brooker, Fabian Wadsworth and Alex Iveson, and by an ERC Consolidator award to Madeleine Humphreys under the European Union’s Horizon 2020 research and innovation programme (grant agreement 864923). Full details of the data analysis and interpretation can be found in Mangler et al. (2023): Melt diffusion-moderated crystal growth and its effect on euhedral crystal shapes, Journal of Petrology, doi.org/10.1093/petrology/egad054.
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]"
Experiments were performed using rapid-quench cold-seal pressure vessels and a Linkam high-temperature heating stage. Crystals from experiments were characterised by mounting or sectioning then imaged using back-scattered scanning electron microscopy (SEM) methods using Oxford Instruments Aztec software. ImageJ software was used to extract shape and other textural information from plagioclase crystal intersections on the scanned images. Chemical composition of crystals from experiments and from natural lava samples were characterised using electron dispersive spectroscopy (EDS).
Point Load Test (PLT) data on salt samples from the Northwich Halite Member
The dataset contains point load test data of salt samples collected from the Northwich Halite Member at the Winsford Mine in Cheshire, UK. Each sample was tested in an unconfined state using a point load testing apparatus, in which compressive force was applied through two opposing conical platens until failure occurred. All tests were conducted in the Rock Mechanics and Physics Laboratory at the British Geological Survey, Keyworth, UK. The dataset is compiled into a single Microsoft Excel file, with each row representing an individual test. For each test, measurements of sample length, diameter, and peak load are provided, along with calculated point load strength indices and estimates of unconfined compressive strength.
The samples were tested in a point load apparatus at the Rock Mechanics and Physics Laboratory at the British Geological Survey in Keyworth, UK. Each sample, prepared as a right circular disc, was positioned between two spherically truncated conical platens and loaded at a controlled rate to ensure failure occurred within 10–60 seconds, following ISRM (2007) and ASTM D5731 (2016) suggested methods for axial loading of disc-shaped samples. Peak loads were used to calculate point load strength indices and size-corrected values. UCS estimates were derived using empirical conversion factors. Full results are provided in the accompanying Excel file.
The oceanographic dataset collected during the research cruise identified as CD60 on board the RRS Charles Darwin
This dataset comprises 45 hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, during June - July 1991 from stations in the South Iceland Basin in the North East Atlantic Ocean. 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 Southampton Department of Oceanography as part of the Biogeochemical Ocean Flux Study (BOFS).
Nitrate concentration parameters in the water column
Transmittance and attenuance of the water column
Nitrite concentration parameters in the water column
Ammonium and ammonia concentration parameters in water bodies
Visible waveband radiance and irradiance measurements in the water column
Phosphate concentration parameters in the water column
Chlorophyll pigment concentrations in water bodies
Silicate concentration parameters in the water column
Marine Environmental Data and Information Network
Natural Environment Research Council Designated Data Centres
Data are freely available to all following agreement to the terms and conditions of the Open Government Licence. The licence terms and conditions are available via https://www.bodc.ac.uk/data/documents/nodb/267809/
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.
Palaeointensity (PINT) database v8.0.0 (NERC Grants NE/P017266/1, NE/S008330/1, NE/P00170X/1)
The palaeointensity (PINT) database of estimates of absolute palaeomagnetic field strength throughout Earth history. The aim of the PINT database is to catalogue all absolute palaeointensity data with ages > 50 ka which have been published in the peer-reviewed literature. The data is provided at the cooling unit level or, in the case of large intrusions, at the sampling site level. In some cases, the data provided in the publication only allows averages of multiple cooling units to be given. In such cases, this should be a Field. The database was published in Bono et al. (2021, https://doi.org/10.1093/gji/ggab490) and an online version is available at http://pintdb.org/
There are no restrictions on the use that may be made of the dataset, although an appropriate copyright acknowledgement must be made when any part of the dataset is reproduced. Either no third party data / information is contained in the dataset or BGS has secured written permission from the owner of any third party data / information contained in the dataset to make the dataset freely available without any use constraints - inclusion of any third party data / information will affect the copyright acknowledgement that needs to be made.
Data compilation from the published literature combined with a quality assessment following the quality of paleointensity (Qpi) criteria of Biggin & Paterson (2014; doi: https://doi.org/10.3389/feart.2014.00024).
UKCCSRC Summer 2020 Web Series presentations
UKCCSRC Grant EP/P026214/1. The UKCCSRC Summer Web Series ran from 21st July to 3rd September 2020 relating to various aspects of carbon capture and storage. For more information see https://ukccsrc.ac.uk/web-series/ukccsrc-summer-web-series/.
Presentation slides from the UKCCSRC Summer Web Series deposited on behalf of UKCCSRC.
Glass geochemical data of Late Quaternary tephra from Main Ethiopian Rift (NERC grant NE/L013533/1)
Glass major element geochemical data on Late Quaternary tephra deposits from the Main Ethiopian Rift volcanoes. These data were acquired using Electron Microprobe Analysis, and secondary standard data (MPI-DING glasses) are also included. All samples were given a unique name related to the outcrop from which they were obtained. Outcrops are named "MER" followed by a 3-digit number (e.g. MER153). Samples from a given outcrops are given the same name, followed by a letter (e.g. MER153A). Outcrop localities, with GPS coordinates (Lat Long WGS84) and brief description of the geology are also included. These data are published as Supplementary Files to a paper published in Journal of Volcanology and Geothermal Research: Fontijn et al (2018), https://doi.org/10.1016/j.jvolgeores.2018.02.001.
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.
Tephra samples were manually crushed, wet-sieved at 80 µm to remove alteration products, and dried at 50 °C. Ash shards were mounted in EpoFix resin and polished. Glass major element analyses was carried out by Electron Microprobe Analysis using a 4-spectrometer JEOL JXA-8600 Superprobe, with an accelerating voltage of 15 kV, a defocused beam of 10 (or 5) µm, and 6 (or 4) nA beam current. Elements were counted on-peak for 30 s (Si, Al, Fe, Ti, Mg, Ca, K), except for Na (12 s, analysed first), P (60 s), Mn and Cl (50 s). Off-peak background counting times were half the peak counting times. Data quality was continuously monitored by secondary glass standard analyses. Thirty individual points were attempted per sample. Only analyses with totals above 90 wt% were retained.
Modal mineralogy data of iceberg-rafted debris (NERC Grant NE/T006609/1)
Modal mineralogy data of iceberg-rafted debris deposited at IODP Site U1538 in the Scotia Sea 1.2 million years ago based on QEMSCAN® analyses, which infer minerals from chemistry
We mounted ∼1 g of the sand (>63-μm) fraction of each sample in a 30-mm diameter (15-mm thick) epoxy resin block. Sample measurement and data processing were undertaken using the software packages iMeasure version 4.2SR1 and iDiscover 4.2SR1 and 4.3 (Rollinson et al., 2011). The QEMSCAN® settings used 25kV, 5nA, a 1000 X-ray count rate per pixel, a working distance of ∼22-mm under high vacuum and beam calibration every 30 min. We used the software's fieldscan measurement mode to analyze each sample (Pirrie & Rollinson, 2011) at an X-ray resolution/pixel spacing of 8-μm and a 1500-μm2 field size (at x46 magnification).
The oceanographic dataset collected during the research cruise identified as CH35 on board the RRS Challenger
This dataset comprises 109 hydrographic data profiles, collected by a conductivity-temperature-depth (CTD) sensor package, in September 1988 from a pre-determined 123-station survey grid covering the southern North Sea (south of 56N). 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 Institute of Oceanographic Sciences Bidston Laboratory as part of the North Sea Project water column survey.
Dissolved oxygen parameters in the water column
Concentration of suspended particulate material in the water column
UKCCSRC Call 2 project poster: Flexible CCS operations combined with online solvent monitoring: A pilot-scale study, CSLF Call project poster reception, London, 27.06.16
This poster on the UKCCSRC Call 2 project Flexible CCS operations combined with online solvent monitoring: A pilot-scale study was presented at the CSLF Call project poster reception, London, 27.06.16. Grant number: UKCCSRC-C2-214. This project focuses on enhancing the flexibility of amine based post-combustion capture systems 1. To evaluate the flexible operation capabilities of current post-combustion CCS plant designs via dynamic scenario testing at pilot scale. 2. To identify hardware bottlenecks to dynamic operation and suggest improvements. 3. To develop new instrumentation, operating strategies and control systems which will enhance operational flexibility. 4. To obtain real plant data to complement dynamic modelling efforts.
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.
Either : (i) the dataset has not been formally approved by BGS for access and use by external clients under license; and / or (ii) the dataset contains 3rd party data or information obtained by BGS under terms and conditions that must be consulted before the dataset can be provided to, or accessed by, BGS staff or external clients. 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 access restrictions. This staff member should revert to the IPR Section (IPR@bgs.ac.uk) for advice, should the position not be clear.
UKCCSRC Call 2 project, grant number: UKCCSRC-C2-214, Lead institution: University of Edinburgh
UKCCSRC Call 1 Project (C1-27) - 'Experimental investigation with PACT facility and CFD modelling of oxy-coal combustion on recycling real flue gas and vent gas of compression and purification units' - Methodologies and Data
UKCCSRC Call 1 project, grant number: UKCCSRC-C1-27, Lead institution: University of Nottingham
Citation Information - Digital Object Identifier (DOI)
BODC Cruise Metadata Report for RRS Charles Darwin Cruise CD60
BODC Cruise Metadata Report for RRS Challenger Cruise CH35
Queen's University Belfast, School of Biological Sciences
University of Southampton Department of Oceanography
Institute of Oceanographic Sciences Wormley Laboratory
Institute of Oceanographic Sciences, Bidston Laboratory