synaptic-vesicles-detection/datacite.yml

# Metadata for DOI registration according to DataCite Metadata Schema 4.1.
# For detailed schema description see https://doi.org/10.5438/0014

## Required fields

# The main researchers involved. Include digital identifier (e.g., ORCID)
# if possible, including the prefix to indicate its type.
authors:
  -
    firstname: "Barbara"
    lastname: "Imbrosci"
    affiliation: "German Center for Neurodegenerative Diseases (DZNE) and NeuroCure Cluster of Excellence, Charitéplatz 1, 10117 Berlin, Germany"
    id: "ORCID:ORCID:0000-0002-4527-0536"
  -
    firstname: "Dietmar"
    lastname: "Schmitz"
    affiliation: "Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, and Berlin Institute of Health, and NeuroCure Cluster of Excellence, Charitéplatz 1, 10117 Berlin, Germany; 1German Center for Neurodegenerative Diseases (DZNE) Berlin, 10117 Berlin, Germany; Bernstein Center for Computational Neuroscience (BCCN) Berlin, 10115 Berlin, Germany; Einstein Center for Neurosciences (ECN) Berlin, 10117 Berlin, Germany; Max-Delbrück-Centrum (MDC) for molecular medicine, 13125 Berlin, Germany"

    id: "ORCID:0000-0003-2741-5241"
  -
    firstname: "Marta"
    lastname: "Orlando"
    affiliation: "Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, and Berlin Institute of Health, and NeuroCure Cluster of Excellence, Charitéplatz 1, 10117 Berlin, Germany"
    id: "ORCID:0000-0002-9017-0251"
    
# A title to describe the published resource.
title: "Automated detection and localization of synaptic vesicles in electron microscopy images"

# Additional information about the resource, e.g., a brief abstract.
description: |
  This repository conitains 87 electron microscopy images of hippocampal murine presynaptic terminals
  that have been used to train, test and evaluate the performance of an algorithm
  for the automated detection and analysis of synaptic vesicles.

# Lit of keywords the resource should be associated with.
# Give as many keywords as possible, to make the resource findable.
keywords:
  - "Neuroscience"
  - "Synapses"
  - "Synaptic vesicles"
  - "convolutional neural network"

# License information for this resource. Please provide the license name and/or a link to the license.
# Please add also a corresponding LICENSE file to the repository.
license:
  name: "Creative Commons CC0 4.0 attribution licence"
  url: "https://creativecommons.org/licenses/by/4.0/"



## Optional Fields

# Funding information for this resource.
# Separate funder name and grant number by comma.
funding:
  - "DFG, DFG.Exc2049"


# Related publications. reftype might be: IsSupplementTo, IsDescribedBy, IsReferencedBy.
# Please provide digital identifier (e.g., DOI) if possible.
# Add a prefix to the ID, separated by a colon, to indicate the source.
# Supported sources are: DOI, arXiv, PMID
# In the citation field, please provide the full reference, including title, authors, journal etc.
references:
  -
    id: "na"
    reftype: "IsSupplementTo"
    citation: "Imbrosci B, Schmitz D, Orlando M. Automated detection and localization of synaptic vesicles in electron microscopy images. To date, October 2021, is under revision at eNeuro"


# Resource type. Default is Dataset, other possible values are Software, Image, Text.
resourcetype: "Image"

# Do not edit or remove the following line
templateversion: 1.2