Izquierdo_Lab_UCLA/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: "Alexandra"
    lastname: "Stolyarova"
    affiliation: "UCLA"

  -
    firstname: "Mohsen"
    lastname: "Rakhshan"
    affiliation: "Dartmouth"
    
  -
    firstname: "Evan"
    lastname: "Hart"
    affiliation: "UCLA"
    
  -
    firstname: "Thomas"
    lastname: "O'Dell"
    affiliation: "UCLA"
    
  -
    firstname: "Megan"
    lastname: "Peters"
    affiliation: "UC Riverside"
    
  -
    firstname: "Hakwan"
    lastname: "Lau"
    affiliation: "UCLA"
    
  -
    firstname: "Alireza"
    lastname: "Soltani"
    affiliation: "Dartmouth"
    id: "ORCID:0000-0003-4386-8486"
    
  -
    firstname: "Alicia"
    lastname: "Izquierdo"
    affiliation: "UCLA"
    id: "ORCID:0000-0001-9897-2091"

# A title to describe the published resource.
title: "ACC BLA Nat Comm 2019 Source Data"

# Additional information about the resource, e.g., a brief abstract.
description: |
  This file provides source data for all Figures appearing in Stolyarova A, Rakhshan M, Hart Evan E, O’Dell TJ, Peters MAK, Lau H, Soltani A, Izquierdo A (2019). Contributions of Anterior Cingulate Cortex and Basolateral Amygdala to Decision Confidence and Learning under Uncertainty. Preprint appearing first in biorxiv  https://doi.org/10.1101/655860, and in final form in Nature Communications. For questions about variables and/or access to scripts used for analysis contact either aizquie@psych.ucla.edu or alireza.soltani@dartmouth.edu.

# Lit of keywords the resource should be associated with.
# Give as many keywords as possible, to make the resource findable.
keywords: 
  - delay discounting, win-stay, lose-switch, perseveration, reversal learning, perceptual uncertainty


# 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 1.0 Public Domain Dedication"
  url: "https://creativecommons.org/publicdomain/zero/1.0/"


## Optional Fields

# Funding information for this resource.
# Separate funder name and grant number by comma.
funding:
  - "NIH, R01DA047870"
  

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