Scheduled service maintenance on November 22


On Friday, November 22, 2024, between 06:00 CET and 18:00 CET, GIN services will undergo planned maintenance. Extended service interruptions should be expected. We will try to keep downtimes to a minimum, but recommend that users avoid critical tasks, large data uploads, or DOI requests during this time.

We apologize for any inconvenience.

datacite.yml 3.0 KB

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  1. # Metadata for DOI registration according to DataCite Metadata Schema 4.1.
  2. # For detailed schema description see https://doi.org/10.5438/0014
  3. ## Required fields
  4. # The main researchers involved. Include digital identifier (e.g., ORCID)
  5. # if possible, including the prefix to indicate its type.
  6. authors:
  7. -
  8. firstname: "Barbara"
  9. lastname: "Imbrosci"
  10. affiliation: "German Center for Neurodegenerative Diseases (DZNE) Berlin, 10117 Berlin, Germany"
  11. id: "ORCID:0000-0002-4527-0536"
  12. -
  13. firstname: "Dietmar"
  14. lastname: "Schmitz"
  15. affiliation: "Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, and Berlin Institute of Health, and NeuroCure Cluster of Excellence, Charitéplatz 1, 10117 Berlin, Germany"
  16. id: "ORCID:0000-0003-2741-5241"
  17. -
  18. firstname: "Marta"
  19. lastname: "Orlando"
  20. affiliation: "Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, and Berlin Institute of Health, and NeuroCure Cluster of Excellence, Charitéplatz 1, 10117 Berlin, Germany"
  21. id: "ORCID:0000-0002-9017-0251"
  22. # A title to describe the published resource.
  23. title: "EM images for automated synaptic vesicle detection"
  24. # Additional information about the resource, e.g., a brief abstract.
  25. description: |
  26. "This repository conitains 87 electron microscopy images of hippocampal murine presynaptic terminals that have been used to train, test and evaluate the performance of an algorithm for the automated detection and analysis of synaptic vesicles. It includes whole images (image_01 to image_87) and the patches derived from these images that have been used to train and test the algorithm."
  27. # Lit of keywords the resource should be associated with.
  28. # Give as many keywords as possible, to make the resource findable.
  29. keywords:
  30. - "Neuroscience"
  31. - "Synapses"
  32. - "Synaptic vesicles"
  33. # License information for this resource. Please provide the license name and/or a link to the license.
  34. # Please add also a corresponding LICENSE file to the repository.
  35. license:
  36. name: "Creative Commons CC0 4.0 attribution licence"
  37. ## Optional Fields
  38. # Funding information for this resource.
  39. # Separate funder name and grant number by comma.
  40. funding:
  41. - "DFG Exc 2049"
  42. # Related publications. reftype might be: IsSupplementTo, IsDescribedBy, IsReferencedBy.
  43. # Please provide digital identifier (e.g., DOI) if possible.
  44. # Add a prefix to the ID, separated by a colon, to indicate the source.
  45. # Supported sources are: DOI, arXiv, PMID
  46. # In the citation field, please provide the full reference, including title, authors, journal etc.
  47. references:
  48. -
  49. id:
  50. reftype: "IsSupplementTo"
  51. citation: "Imbrosci B, Schmitz D, Orlando M. Automated detection and localization of synaptic vesicles in electron microscopy images. Under revision at eNeuro"
  52. # Resource type. Default is Dataset, other possible values are Software, DataPaper, Image, Text.
  53. resourcetype: "Images"
  54. # Do not edit or remove the following line
  55. templateversion: 1.2