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Add datacite file

Frank/Phenom 4 years ago
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      datacite.yml

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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: "Frank"
+    lastname: "Michler"
+    affiliation: "Philipps-Universität Marburg"
+  -
+    firstname: "Sebastian Thomas"
+    lastname: "Philipp"
+
+# A title to describe the published resource.
+title: "ObjSim"
+
+# Additional information about the resource, e.g., a brief abstract.
+description: |
+  C++ library for simulating spiking neural networks.
+
+# Lit of keywords the resource should be associated with.
+# Give as many keywords as possible, to make the resource findable.
+keywords:
+  - Neuroscience
+  - Spiking Neural Networks
+  - Topographic Maps
+  - Object Recognition
+
+# 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: "X11 License"
+  url: "https://spdx.org/licenses/X11.html"
+
+
+
+## Optional Fields
+
+# Funding information for this resource.
+# Separate funder name and grant number by comma.
+funding:
+  - "DFG, EC 53/11"
+  - "DFG, DFG.5471310"
+
+
+# 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
+references:
+  -
+    id: "doi:10.1152/jn.90651.2008"
+    reftype: "IsSupplementTo"
+    name: "Using Spatiotemporal Correlations to Learn Topographic Maps for Invariant Object Recognition"
+  -
+    id: "doi:10.1007/11829898_3"
+    reftype: "IsSupplementTo"
+    name: "Adaptive Feedback Inhibition Improves Pattern Discrimination Learning"
+
+# Resource type. Default is Dataset, other possible values are Software, DataPaper, Image, Text.
+resourcetype: Software