Research Data

Fossil charcoal particle training data for neural networks

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General
Title
Fossil charcoal particle training data for neural networks
Type
Dataset
Date Record Created
2019-06-10
Date Record Modified
2019-07-18
Language
English
Coverage
Date Coverage
(no information)
Time Period
Holocene
Geospatial Location
  • Arnhem Land, Northern Territory, Australia
  • Cape York Peninsula, Queensland, Australia
Description
Descriptions
  1. Type: full

    Photographs taken using a DSLR and lens adapter through a stereomicroscope of fossil charcoal particles (>63 micron diameter) isolated from Holocene lake sediments. These images have been processed ready to use as a training dataset for neural networks, with binary masks (charcoal versus not charcoal).

  2. Type: note

    A zip file containing the photographs (28.6 GB) is available from the link below.

Related Publications
(no information)
Related Websites
(no information)
Related Data
(no information)
Related Services
(no information)
Technical metadata
(no information)
People
Creators
  1. Owned by: Miss Emma Rehn , emma.rehn@my.jcu.edu.au , College of Science & Engineering
  2. Enriched by: Mr Adam Rehn , adam.rehn@jcu.edu.au , College of Business, Law & Governance
Primary Contact
Ms Emma Rehn, emma.rehn@my.jcu.edu.au
Supervisors
  1. Professor Michael Bird , michael.bird@jcu.edu.au
  2. Dr Cassandra Rowe , cassandra.rowe@jcu.edu.au
  3. Professor Sean Ulm , sean.ulm@jcu.edu.au
  4. Dr Craig Woodward , craigw@ansto.gov.au
  5. Dr Geraldine Jacobsen , gej@ansto.gov.au
Collaborators
  1. Australia's Nuclear Science and Technology Organisation (ANSTO)
  2. Australian Institute of Nuclear Science and Engineering (AINSE)
Subject
Fields of Research
  1. 040606 - Quaternary Environments (040606)
  2. 050399 - Soil Sciences not elsewhere classified (050399)
Socio-Economic Objective
  1. 960304 - Climate Variability (excl. Social Impacts) (960304)
Keywords
  1. fossil charcoal
  2. palaeoenvironment
  3. neural networks
  4. anthracology
  5. palaeolimnology
Research Activity
(no information)
Research Themes
Tropical Ecosystems, Conservation and Climate Change
Rights
License
CC BY-NC-SA 4.0: Attribution-Noncommercial-Share Alike 4.0 International
License - Other
(no information)
Access Rights/Conditions
Open access. If the data is not freely accessible via the link provided, please contact the nominated data manager or researchdata@jcu.edu.au for assistance.
Type
open
Rights
(no information)
Data
Data Location
Online Locations
  1. https://cloudstor.aarnet.edu.au/plus/s/BT7Sij6WKuezC2V
Stored At
(no information)
Citation
Cite:
Rehn, E.; Rehn, A. (2019): Fossil charcoal particle training data for neural networks. James Cook University. (dataset). http://dx.doi.org/10.25903/5d006c1494cf9
Digital Object Identifier (DOI):
10.25903/5d006c1494cf9