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SCAN-Deep SIGNED

Systematic Characterisation and Archiving of megafauNa on a regional scale in a Deep-sea area threatened by mining

Total Cost €

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EC-Contrib. €

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Partnership

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 SCAN-Deep project word cloud

Explore the words cloud of the SCAN-Deep project. It provides you a very rough idea of what is the project "SCAN-Deep" about.

contracted    ecology    digitisation    pipeline    reserves    organismal    biodiversity    samples    complete    policy    eastern    bioinformatic    sea    transferable    absence    environment    science    first    career    communication    metals    species    tropical    megafaunal    scientific    image    pressing    regardless    abyssal    successful    conservation    quantitative    dna    host    baseline    nodules    urgently    morphotypes    agenda       characterization    green    identification    transfers    marine    earth    bioinformatics    economies    million    archiving    fold    clipperton       fellowship    health    interface    found    worldwide    blue    sustainable    vast    barcoding    global    richness    ranges    exploration    source    minerals    km2    area    taxonomy    classification    researcher    fuelled       context    safety    regional    laboratory    clarion    polymetallic    industries    zone    entire    imagery    survey    skills    region    cuts    data    demand    deep    ccz    almost    megafauna    contains    metabarcoding    planning    contract    seafloor    ocean    globally    animals    metagenomics    rare    pacific   

Project "SCAN-Deep" data sheet

The following table provides information about the project.

Coordinator
NATURAL HISTORY MUSEUM 

Organization address
address: CROMWELL ROAD
city: LONDON
postcode: SW7 5BD
website: http://www.nhm.ac.uk/

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 183˙454 €
 EC max contribution 183˙454 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2016
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2018
 Duration (year-month-day) from 2018-03-14   to  2020-03-13

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    NATURAL HISTORY MUSEUM UK (LONDON) coordinator 183˙454.00

Map

 Project objective

The worldwide demand for metals and rare-earth elements is increasing, fuelled by developing economies and the growth of high-technology green industries. The Clarion-Clipperton Zone (CCZ) in the tropical eastern Pacific Ocean contains vast reserves of polymetallic nodules on the abyssal seafloor, a future source of deep-sea minerals already targeted for exploitation. There is an almost complete absence of open biodiversity data on the large animals (megafauna) of this 6 million km2 area, and it is a pressing conservation priority to establish baseline data to enable future sustainable management of the region. In particular, a regional-level assessment that cuts across contracted areas is urgently needed to [1] establish the baseline quantitative ecology of the region, [2] assess species richness and ranges and thus, [3] enable the successful management of this globally important marine area in the context of a global ‘blue growth’ agenda. The objective of this fellowship is to develop the first regional-level approach to megafauna classification and identification in the CCZ. This will be done using a three-fold approach: (1) The development of a new open-access data-archiving bioinformatic pipeline for imagery and samples of megafauna from the entire CCZ, (2) the identification and characterization of megafaunal morphotypes observed across the CCZ regardless of exploration contract area and (3), development of biodiversity survey methods based on organismal DNA found in the environment (metabarcoding). This project will include knowledge transfers between the host and experienced researcher in the following areas: bioinformatics, digitisation, image analysis, megafauna taxonomy, DNA barcoding, metagenomics and transferable skills such as project management, scientific communication including science-policy interface work, laboratory health and safety, and career planning.

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The information about "SCAN-DEEP" are provided by the European Opendata Portal: CORDIS opendata.

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