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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.

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

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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