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Add information for publishing with DataCite

Zhuanghua Shi vor 1 Jahr
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datacite.yml

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+# 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: "Zhuanghua"
+    lastname: "Shi"
+    affiliation: "Department of Psychology, Ludwig-Maximilians-Universität München, Munich, Germany"
+    id: "ORCID:0000-0003-2388-6695"
+  -
+    firstname: "Laura A."
+    lastname: "Theisinger"
+    affiliation: "Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-Universität München, Munich, Germany"
+  -
+    firstname: "Fredrik"
+    lastname: "Allenmark"
+    affiliation: "Department of Psychology, Ludwig-Maximilians-Universität München, Munich, Germany"
+    id: "ORCID:0000-0002-3127-4851"
+  -
+    firstname: "Rasmus L."
+    lastname: "Pistorius"
+    affiliation: "Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-Universität München, Munich, Germany"
+  -
+    firstname: "Hermann J."
+    lastname: "Müller"
+    affiliation: "Department of Psychology, Ludwig-Maximilians-Universität München, Munich, Germany"
+  -
+    firstname: "Christine M."
+    lastname: "Falter-Wagner"
+    affiliation: "Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-Universität München, Munich, Germany"
+    
+
+# A title to describe the published resource.
+title: "Dataset of Predictive coding in ASD: reduced adaptability of prior to environmental changes"
+
+# Additional information about the resource, e.g., a brief abstract.
+description: |
+  Data and codes for the study of predicitiv coding in ASD
+
+# Lit of keywords the resource should be associated with.
+# Give as many keywords as possible, to make the resource findable.
+keywords:
+  - autism
+  - predictive coding
+  - prediction error
+  - volatility
+  - duration reproduction
+
+# 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:
+  - "DFG, SH166/3-2"
+  - "BGF, DFG, FA876/3-1, FA876/5-1"
+
+
+# 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.
+
+
+# Resource type. Default is Dataset, other possible values are Software, DataPaper, Image, Text.
+resourcetype: Dataset
+
+# Do not edit or remove the following line
+templateversion: 1.2