doi_info.xml 4.9 KB

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  1. <?xml version="1.0" encoding="UTF-8"?>
  2. <?xml-stylesheet type="text/xsl" href="odmlTerms.xsl"?>
  3. <?xml-stylesheet type="text/xsl" href="odml.xsl"?>
  4. <odML version="1">
  5. <date>2017-02-01</date>
  6. <section>
  7. <property>
  8. <value>Baseline and driven activity of p-type and ampullary electroreceptor afferents of the weakly electric fish Apteronotus leptorhynchus<definition>Title of Dataset</definition></value>
  9. <name>Title</name>
  10. </property>
  11. <property>
  12. <value>Creative Commons Attribution Non-Commercial Share-Alike 4.0 International<definition>License under which the dataset is released.</definition><reference>https://creativecommons.org/licenses/by-nc-sa/4.0/</reference></value>
  13. <name>License</name>
  14. </property>
  15. <property>
  16. <value>Raw and derived data as are used in Grewe et al., 2017. Data originates from semi-intracellular recordings of electroreceptor afferents. The whole dataset is split into two folders: (I) data recorded in p-type electroreceptor afferents, and (II) data recorded in ampullary electroreceptor afferents. The datasets contain spontaneous (baseline) activity and/or neuronal responses to white noise stimuli.<definition>Description of Dataset</definition></value>
  17. <name>Description</name>
  18. </property>
  19. <name>Dataset</name>
  20. <section>
  21. <name>Authors</name>
  22. <section>
  23. <property>
  24. <value>Grewe, Jan<definition>Author's Name (Last Name, First Names)</definition></value>
  25. <name>Name</name>
  26. </property>
  27. <property>
  28. <value>Institute for Neurobiology, University of Tuebingen, Germany<definition>Author's Affiliation</definition></value>
  29. <name>Affiliation</name>
  30. </property>
  31. <property>
  32. <value><definition>Author's ORCID (or other identifier)</definition></value>
  33. <name>ORCID</name>
  34. </property>
  35. <name>Author 1</name>
  36. <type>undefined</type>
  37. </section>
  38. <section>
  39. <property>
  40. <value>Benda, Jan<definition>Author's Name (Last Name, First Names)</definition></value>
  41. <name>Name</name>
  42. </property>
  43. <property>
  44. <value>Institute for Neurobiology, University of Tuebingen, Germany<definition>Author's Affiliation</definition></value>
  45. <name>Affiliation</name>
  46. </property>
  47. <name>Author 2</name>
  48. <type>undefined</type>
  49. </section>
  50. <type>undefined</type>
  51. </section>
  52. <section>
  53. <property>
  54. <value>electroreceptors</value>
  55. <name>Keyword 1</name>
  56. </property>
  57. <property>
  58. <value>action potentials</value>
  59. <name>Keyword 2</name>
  60. </property>
  61. <property>
  62. <value>weakly electric fish</value>
  63. <name>Keyword 3</name>
  64. </property>
  65. <property>
  66. <value>white noise</value>
  67. <name>Keyword 4</name>
  68. </property>
  69. <property>
  70. <value>active electrosensory system</value>
  71. <name>Keyword 5</name>
  72. </property>
  73. <property>
  74. <value>passive electrosensory system</value>
  75. <name>Keyword 6</name>
  76. </property>
  77. <property>
  78. <value>baseline activity</value>
  79. <name>Keyword 7</name>
  80. </property>
  81. <property>
  82. <value>Apteronotus leptorhynchus</value>
  83. <name>Keyword 8</name>
  84. </property>
  85. <name>Keywords</name>
  86. <type>undefined</type>
  87. </section>
  88. <section>
  89. <property>
  90. <value>Grewe J, Kruscha A, Lindner B, Benda J (2017) Synchronous spikes are necessary but not sufficient for a synchrony code in populations of spiking neurons. PNAS, in press</value>
  91. <name>Citation</name>
  92. </property>
  93. <property>
  94. <value>10.1073/pnas.1615561114</value>
  95. <name>DOI</name>
  96. </property>
  97. <name>OriginalPublication</name>
  98. <type>undefined</type>
  99. </section>
  100. <section>
  101. <name>Files</name>
  102. <section>
  103. <property>
  104. <value>Grewe_etal_2017_data.zip</value>
  105. <name>Filename</name>
  106. </property>
  107. <property>
  108. <value>Archive of data files. The p-unit folder contains recordings from p-type afferents (so called p-units) and the ampullary folder those recordings made in ampullary afferents. The basic structure of the files is the same for both cell types.</value>
  109. <name>Description</name>
  110. </property>
  111. <name>File 1</name>
  112. <type>undefined</type>
  113. </section>
  114. <section>
  115. <property>
  116. <value>Grewe_etal_2017_Readme.pdf</value>
  117. <name>Filename</name>
  118. </property>
  119. <property>
  120. <value>Detail information about the data</value>
  121. <name>Description</name>
  122. </property>
  123. <name>File 2</name>
  124. <type>undefined</type>
  125. </section>
  126. <type>undefined</type>
  127. </section>
  128. <type>undefined</type>
  129. </section>
  130. <repository>http://portal.g-node.org/odml/terminologies/v1.0/terminologies.xml</repository>
  131. <author>Jan Grewe</author>
  132. </odML>