Identification info

Metadata Language

English (en)

Dataset Reference Date ()

2010-05

Identifier

http://data.bgs.ac.uk/id/dataHolding/13606453

Maintenance and update frequency

notApplicable

GEMET - INSPIRE themes

• Geology

BGS Thesaurus of Geosciences

• Monitoring

• Carbon

• Bacteria

• Environmental impact

• Storage

• Nitrogen cycle

Keywords

• NERC_DDC

Limitations on Public Access

otherRestrictions

Other constraints

intellectualPropertyRights

Other constraints

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.

Use constraints

otherRestrictions

Other constraints

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.

Other constraints

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. ipr@bgs.ac 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.

Topic category

• Geoscientific information

Extent

Ardmucknish Bay [id=1214829]

Dataset Reference Date ()

2002

Begin date

2010-05

End date

2014-12

Additional information

Blackford et al. (2014) Detection and impacts of leakage from sub-seafloor deep geological carbon dioxide storage. Nature Climate Change DOI: 10.1038/NCLIMATE238. Tait et al. (2015) Rapid response of the active microbial community to CO2 exposure from a controlled sub-seabed CO2 leak in Ardmucknish Bay (Oban, Scotland). IJGGC DOI: 10.1016/ijggc.2014.11.021. Watanabe et al. (2015) Ammonia oxidation activity of microorganisms in surface sediment to a controlled sub-seabed release of CO2. IJGGC DOI: 10.1016/j.ijggc.2014.11.013. QICS project website: www.bgs.ac.uk/qics/home.html.

 

Distribution Information

Data format

• .txt

  ()

• TIF

  ()

 

Quality Scope

dataset

Other

dataset

Statement

Sediment samples were collected 7 days before the CO2 supply was turned on (D-7/8), D13/14 and D35/36 during CO2 release, and after the CO2 release ended on D41/42, D55/56 and D127/128 at each of four zones (zone 1 = at epicentre; zone 2 (25m distant), zone 3 (75m distant), and zone 4 (control, 450m distant). At each zone, five replicate sediment samples were manually collected by divers using five 50 ml syringes with the end cut off. Each syringe was sealed with a rubber bung and transported back to the lab were the top 1 cm was sectioned and frozen at -80 °C. RNA and DNA were extracted from 2 g sediment using the MoBio RNA PowerSoil® Total RNA Isolation Kit with the DNA elution accessory kit according to the manufacturer’s instructions. RNA was reverse transcribed using the QuantiTect Reverse Transcription Kit (Qiagen) with 0.2 μg of RNA and the supplied random primers. An ABI 7000 sequence detection system (Applied Biosystems, Foster City, USA) and QuantiFast SYBR Green PCR Kit (Qiagen) was used for all qPCR measurements. The abundance of bacterial, archaeal and cyanobacterial/chloroplast 16S rRNA (from cDNA) and genes (from DNA) in each sediment sample was determined using quantitative PCR. The method is described in detail in Tait et al. 2015. In addition, for each sediment sample, the abundance of Thaumarchaeal and bacterial amoA transcripts and genes, nitrite reducer (nirS) and hydrazine oxidoreductase (hzo) genes and transcripts was determined. The method is described in detail in Watanabe et al. 2015. The data in the table QICS microbial qPCR data.txt is in the format of Dx (relative to day of injection). D-7/8: 10/11 May 2012 D13/14: 30/31 May 2012 D35/D36: 20/21 June 2012 D41/D42: 27/28 June 2012 D54/D55: 9 July/10 July 2012 D127/D128: 19/20 September 2012 Zones are as described above and data is shown for the 5 replicate cores. Numbers are 16S rRNA/transcript/gene copies per gram sediment. DGGE analysis of cyanobacteria/chloroplast 16S rRNA (cDNA) sequences was performed with the INGENYphorU DGGE system (Ingeny, The Netherlands), as described in detail in Tait et al. 2015 . Replicate cores were combined to give a total of 24 PCR products. The original gel image is QICS cyanobacteria 16S rRNA DGGE image.tif. Gel Compar II software was used to analyse DGGE fingerprinting patterns (Applied Maths, Netherlands) and the data imported into PRIMER vs. 6.1 multivariate analysis software (Clarke and Gorley 2006) for statistical analysis. The data in the table QICS cyanobacteria 16S rRNA DGGE data.txt contains relative abundance of band density for each sample. Data is in the format of Dx as above. Bands are numbered according to their distance migrated down the gel. To compare bacterial communities at each zone and over time, 16S rRNA fragments were amplified and analysed using terminal restriction length polymorphism (T-RFLP) using the protocol of Laverock et al. (2010). 6-FAM labelled PCR products were digested with the restriction enzyme AluI, and the fragment profile for each sample determined by DNA Sequencing Services (Dundee University). Resulting electropherograms were initially analysed using GeneMapper 3.7 software (Applied Biosystems) and subsequently using T-Align (Smith et al., 2005). This data can be found in Blackford et al. (2014) Nature Climate Change DOI: 10.1038/NCLIMATE2381. Relative abundance of TRFs for each sample can be found in QICS bacterial 16S rRNA T-RFLP data.txt. Again, the data is in the format of Dx as above. TRFs are numbered according to their nucleotide length. The relative abundance and composition of 16S rRNA (cDNA) in the five replicate samples collected from zones 1 and zones 4 on D-7/8, D13/14, D35/36 and D41/42 were determined using 16S rRNA tagged pyrosequencing, as described in Tait et al. 2015 . Sequence data has been archived at the European Nucleotide Archive, accession number PRJEB7642.

Metadata

File identifier

0a6b0b4d-65a0-2bdb-e054-002128a47908 XML

Metadata Language

English (en)

Resource type

dataset

Metadata Date

2022-11-26

Metadata standard name

UK GEMINI

Metadata standard version

2.3