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update datacite.yml, LICENSE and README.md

Lennart Wittkuhn 1 year ago
parent
commit
860ed57c3c
3 changed files with 47 additions and 31 deletions
  1. 9 11
      LICENSE
  2. 15 3
      README.md
  3. 23 17
      datacite.yml

+ 9 - 11
LICENSE

@@ -1,20 +1,19 @@
-Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License
+Creative Commons Attribution-ShareAlike 4.0 International Public License
 
-By exercising the Licensed Rights (defined below), You accept and agree to be bound by the terms and conditions of this Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License ("Public License"). To the extent this Public License may be interpreted as a contract, You are granted the Licensed Rights in consideration of Your acceptance of these terms and conditions, and the Licensor grants You such rights in consideration of benefits the Licensor receives from making the Licensed Material available under these terms and conditions.
+By exercising the Licensed Rights (defined below), You accept and agree to be bound by the terms and conditions of this Creative Commons Attribution-ShareAlike 4.0 International Public License ("Public License"). To the extent this Public License may be interpreted as a contract, You are granted the Licensed Rights in consideration of Your acceptance of these terms and conditions, and the Licensor grants You such rights in consideration of benefits the Licensor receives from making the Licensed Material available under these terms and conditions.
 
 Section 1 – Definitions.
 
     Adapted Material means material subject to Copyright and Similar Rights that is derived from or based upon the Licensed Material and in which the Licensed Material is translated, altered, arranged, transformed, or otherwise modified in a manner requiring permission under the Copyright and Similar Rights held by the Licensor. For purposes of this Public License, where the Licensed Material is a musical work, performance, or sound recording, Adapted Material is always produced where the Licensed Material is synched in timed relation with a moving image.
     Adapter's License means the license You apply to Your Copyright and Similar Rights in Your contributions to Adapted Material in accordance with the terms and conditions of this Public License.
-    BY-NC-SA Compatible License means a license listed at creativecommons.org/compatiblelicenses, approved by Creative Commons as essentially the equivalent of this Public License.
+    BY-SA Compatible License means a license listed at creativecommons.org/compatiblelicenses, approved by Creative Commons as essentially the equivalent of this Public License.
     Copyright and Similar Rights means copyright and/or similar rights closely related to copyright including, without limitation, performance, broadcast, sound recording, and Sui Generis Database Rights, without regard to how the rights are labeled or categorized. For purposes of this Public License, the rights specified in Section 2(b)(1)-(2) are not Copyright and Similar Rights.
     Effective Technological Measures means those measures that, in the absence of proper authority, may not be circumvented under laws fulfilling obligations under Article 11 of the WIPO Copyright Treaty adopted on December 20, 1996, and/or similar international agreements.
     Exceptions and Limitations means fair use, fair dealing, and/or any other exception or limitation to Copyright and Similar Rights that applies to Your use of the Licensed Material.
-    License Elements means the license attributes listed in the name of a Creative Commons Public License. The License Elements of this Public License are Attribution, NonCommercial, and ShareAlike.
+    License Elements means the license attributes listed in the name of a Creative Commons Public License. The License Elements of this Public License are Attribution and ShareAlike.
     Licensed Material means the artistic or literary work, database, or other material to which the Licensor applied this Public License.
     Licensed Rights means the rights granted to You subject to the terms and conditions of this Public License, which are limited to all Copyright and Similar Rights that apply to Your use of the Licensed Material and that the Licensor has authority to license.
     Licensor means the individual(s) or entity(ies) granting rights under this Public License.
-    NonCommercial means not primarily intended for or directed towards commercial advantage or monetary compensation. For purposes of this Public License, the exchange of the Licensed Material for other material subject to Copyright and Similar Rights by digital file-sharing or similar means is NonCommercial provided there is no payment of monetary compensation in connection with the exchange.
     Share means to provide material to the public by any means or process that requires permission under the Licensed Rights, such as reproduction, public display, public performance, distribution, dissemination, communication, or importation, and to make material available to the public including in ways that members of the public may access the material from a place and at a time individually chosen by them.
     Sui Generis Database Rights means rights other than copyright resulting from Directive 96/9/EC of the European Parliament and of the Council of 11 March 1996 on the legal protection of databases, as amended and/or succeeded, as well as other essentially equivalent rights anywhere in the world.
     You means the individual or entity exercising the Licensed Rights under this Public License. Your has a corresponding meaning.
@@ -23,8 +22,8 @@ Section 2 – Scope.
 
     License grant.
         Subject to the terms and conditions of this Public License, the Licensor hereby grants You a worldwide, royalty-free, non-sublicensable, non-exclusive, irrevocable license to exercise the Licensed Rights in the Licensed Material to:
-            reproduce and Share the Licensed Material, in whole or in part, for NonCommercial purposes only; and
-            produce, reproduce, and Share Adapted Material for NonCommercial purposes only.
+            reproduce and Share the Licensed Material, in whole or in part; and
+            produce, reproduce, and Share Adapted Material.
         Exceptions and Limitations. For the avoidance of doubt, where Exceptions and Limitations apply to Your use, this Public License does not apply, and You do not need to comply with its terms and conditions.
         Term. The term of this Public License is specified in Section 6(a).
         Media and formats; technical modifications allowed. The Licensor authorizes You to exercise the Licensed Rights in all media and formats whether now known or hereafter created, and to make technical modifications necessary to do so. The Licensor waives and/or agrees not to assert any right or authority to forbid You from making technical modifications necessary to exercise the Licensed Rights, including technical modifications necessary to circumvent Effective Technological Measures. For purposes of this Public License, simply making modifications authorized by this Section 2(a)(4) never produces Adapted Material.
@@ -37,7 +36,7 @@ Section 2 – Scope.
     Other rights.
         Moral rights, such as the right of integrity, are not licensed under this Public License, nor are publicity, privacy, and/or other similar personality rights; however, to the extent possible, the Licensor waives and/or agrees not to assert any such rights held by the Licensor to the limited extent necessary to allow You to exercise the Licensed Rights, but not otherwise.
         Patent and trademark rights are not licensed under this Public License.
-        To the extent possible, the Licensor waives any right to collect royalties from You for the exercise of the Licensed Rights, whether directly or through a collecting society under any voluntary or waivable statutory or compulsory licensing scheme. In all other cases the Licensor expressly reserves any right to collect such royalties, including when the Licensed Material is used other than for NonCommercial purposes.
+        To the extent possible, the Licensor waives any right to collect royalties from You for the exercise of the Licensed Rights, whether directly or through a collecting society under any voluntary or waivable statutory or compulsory licensing scheme. In all other cases the Licensor expressly reserves any right to collect such royalties.
 
 Section 3 – License Conditions.
 
@@ -59,7 +58,7 @@ Your exercise of the Licensed Rights is expressly made subject to the following
     ShareAlike.
 
     In addition to the conditions in Section 3(a), if You Share Adapted Material You produce, the following conditions also apply.
-        The Adapter’s License You apply must be a Creative Commons license with the same License Elements, this version or later, or a BY-NC-SA Compatible License.
+        The Adapter’s License You apply must be a Creative Commons license with the same License Elements, this version or later, or a BY-SA Compatible License.
         You must include the text of, or the URI or hyperlink to, the Adapter's License You apply. You may satisfy this condition in any reasonable manner based on the medium, means, and context in which You Share Adapted Material.
         You may not offer or impose any additional or different terms or conditions on, or apply any Effective Technological Measures to, Adapted Material that restrict exercise of the rights granted under the Adapter's License You apply.
 
@@ -67,7 +66,7 @@ Section 4 – Sui Generis Database Rights.
 
 Where the Licensed Rights include Sui Generis Database Rights that apply to Your use of the Licensed Material:
 
-    for the avoidance of doubt, Section 2(a)(1) grants You the right to extract, reuse, reproduce, and Share all or a substantial portion of the contents of the database for NonCommercial purposes only;
+    for the avoidance of doubt, Section 2(a)(1) grants You the right to extract, reuse, reproduce, and Share all or a substantial portion of the contents of the database;
     if You include all or a substantial portion of the database contents in a database in which You have Sui Generis Database Rights, then the database in which You have Sui Generis Database Rights (but not its individual contents) is Adapted Material, including for purposes of Section 3(b); and
     You must comply with the conditions in Section 3(a) if You Share all or a substantial portion of the contents of the database.
 
@@ -102,4 +101,3 @@ Section 8 – Interpretation.
     To the extent possible, if any provision of this Public License is deemed unenforceable, it shall be automatically reformed to the minimum extent necessary to make it enforceable. If the provision cannot be reformed, it shall be severed from this Public License without affecting the enforceability of the remaining terms and conditions.
     No term or condition of this Public License will be waived and no failure to comply consented to unless expressly agreed to by the Licensor.
     Nothing in this Public License constitutes or may be interpreted as a limitation upon, or waiver of, any privileges and immunities that apply to the Licensor or You, including from the legal processes of any jurisdiction or authority.
-

+ 15 - 3
README.md

@@ -1,6 +1,17 @@
 # Highspeed Data Behavioral
 
-This repository contains the dataset structure of the "raw" behavioral data of the study "Faster than thought: Detecting sub-second activation sequences with sequential fMRI pattern analysis", Wittkuhn & Schuck, 2020, *Nature Communications*.
+This repository contains the dataset structure of the "raw" behavioral data of the study "Dynamics of fMRI patterns reflect sub-second activation sequences and reveal replay in human visual cortex", Wittkuhn & Schuck, 2020, *Nature Communications*.
+
+Please visit our project website at https://wittkuhn.mpib.berlin/highspeed for more details about the study.
+
+## Overview
+
+The data stored in this repository was acquired using the [Highspeed Task](https://github.com/lnnrtwttkhn/highspeed-task).
+
+- `main/` contains behavioral data of the `main` condition of the Highspeed Task performed during MRI acquisition
+- `practice/` contains behavioral data of the `practice` condition of the Highspeed Task
+- `instructions/` contains behavioral data of the `instructions` condition of the Highspeed Task
+- `digitspan/` contains data of the Digit Span task assessing working memory capacity
 
 ## Usage
 
@@ -13,5 +24,6 @@ The annexed content of this dataset (i.e., the actual files) can be retrieved fr
 
 ## License
 
-The contents of this repo are licensed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0.
-Please see the [LICENSE](LICENSE) file and https://creativecommons.org/licenses/by-nc-sa/4.0/ for details.
+The contents of this repo are licensed under Creative Commons Attribution-ShareAlike 4.0.
+
+Please see the [LICENSE](LICENSE) file and https://creativecommons.org/licenses/by-sa/4.0/ for details.

+ 23 - 17
datacite.yml

@@ -15,37 +15,37 @@ authors:
     firstname: "Nicolas W."
     lastname: "Schuck"
     affiliation: "Max Planck Institute for Human Development, Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany"
-    id: "ResearcherID:X-1234-5678"
+    id: "ORCID:0000-0002-0150-8776"
 
 # A title to describe the published resource.
-title: "Faster than thought: Detecting sub-second activation sequences with sequential fMRI pattern analysis"
+title: "Dynamics of fMRI patterns reflect sub-second activation sequences and reveal replay in human visual cortex - Behavioral data"
 
 # Additional information about the resource, e.g., a brief abstract.
 description: |
-  Neural computations are often anatomically localized and executed on sub-second time scales.
-  Understanding the brain therefore requires methods that offer sufficient spatial and temporal resolution.
-  This poses a particular challenge for the study of the human brain because non-invasive methods have either high temporal or spatial resolution, but not both.
-  Here, we introduce a novel multivariate analysis method for conventional blood-oxygen-level dependent functional magnetic resonance imaging (BOLD fMRI) that allows to study sequentially activated neural patterns separated by less than 100 ms with anatomical precision.
-  Human participants underwent fMRI and were presented with sequences of visual stimuli separated by 32 to 2048 ms.
-  Probabilistic pattern classifiers were trained on fMRI data to detect the presence of image-specific activation patterns in early visual and ventral temporal cortex.
-  The classifiers were then applied to data recorded during sequences of the same images presented at increasing speeds.
-  Our results show that probabilistic classifier time courses allowed to detect neural representations and their order, even when images were separated by only 32 ms.
-  Moreover, the frequency spectrum of the statistical sequentiality metric distinguished between sequence speeds on sub-second versus supra-second time scales.
-  These results survived when data with high levels of noise and rare sequence events at unknown times were analyzed.
-  Our method promises to lay the groundwork for novel investigations of fast neural computations in the human brain, such as hippocampal replay.
+  Neural computations are often fast and anatomically localized.
+  Yet, investigating such computations in humans is challenging because non-invasive methods have either high temporal or spatial resolution, but not both.
+  Of particular relevance, fast neural replay is known to occur throughout the brain in a coordinated fashion about which little is known.
+  We develop a multivariate analysis method for functional magnetic resonance imaging that makes it possible to study sequentially activated neural patterns separated by less than 100 ms with precise spatial resolution.
+  Human participants viewed images individually and sequentially with speeds up to 32 ms between items.
+  Probabilistic pattern classifiers were trained on activation patterns in visual and ventrotemporal cortex during individual image trials.
+  Applied to sequence trials, probabilistic classifier time courses allow the detection of neural representations and their order.
+  Order detection remains possible at speeds up to 32 ms between items.
+  The frequency spectrum of the sequentiality metric distinguishes between sub- versus supra-second sequences.
+  Importantly, applied to resting-state data our method reveals fast replay of task-related stimuli in visual cortex.
+  This indicates that non-hippocampal replay occurs even after tasks without memory requirements and shows that our method can be used to detect such spontaneously occurring replay.
 
 # Lit of keywords the resource should be associated with.
 # Give as many keywords as possible, to make the resource findable.
 keywords:
-  - Neuroscience
+  - cognitive neuroscience
   - functional magnetic resonance imaging
   - hippocampal replay
 
 # 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 Attribution-NonCommercial-ShareAlike 4.0"
-  url: "https://creativecommons.org/licenses/by-nc-sa/4.0/"
+  name: "Creative Commons Attribution-ShareAlike 4.0"
+  url: "https://creativecommons.org/licenses/by-sa/4.0/"
 
 
 
@@ -54,7 +54,8 @@ license:
 # Funding information for this resource.
 # Separate funder name and grant number by comma.
 funding:
-  - "Max Planck Society (M.TN.A.BILD0004)"
+  - "Max Planck Society, Independent Max Planck Research Group grant"
+  - "European Union, ERC Starting Grant ERC-2019-StG REPLAY-852669"
   - "Max Planck Institute for Human Development"
 
 
@@ -64,6 +65,9 @@ funding:
 # Supported sources are: DOI, arXiv, PMID
 # In the citation field, please provide the full reference, including title, authors, journal etc.
 references:
+  -
+    reftype: "IsSupplementTo"
+    citation: "Wittkuhn, L. and Schuck, N. W. (2020). Dynamics of fMRI patterns reflect sub-second activation sequences and reveal replay in human visual cortex. Nature Communications"
   -
     id: "doi:10.1101/2020.02.15.950667"
     reftype: "IsSupplementTo"
@@ -71,6 +75,8 @@ references:
 
 
 
+
+
 # Resource type. Default is Dataset, other possible values are Software, DataPaper, Image, Text.
 resourcetype: Dataset