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bonndata is the institutional, cross-disciplinary research data repository for the publication of research data for all researchers at the University of Bonn.
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1,211 to 1,220 of 4,850 Results
main_figures.py
Jul 30, 2025 - Transformations of the spatial activity manifold convey aversive information in CA3
Python Source Code - 241.8 KB - MD5: 41910b091cc0d4c6373f12a78daa8591
main_functions.cpython-39.pyc
Jul 30, 2025 - Transformations of the spatial activity manifold convey aversive information in CA3
Unknown - 266.5 KB - MD5: f6aefcd957a2631d9114b7e720c36e1b
poetry.lock
Jul 30, 2025 - Transformations of the spatial activity manifold convey aversive information in CA3
Unknown - 426.8 KB - MD5: 9a7bce8d22f67c27c66d4e8c38c3c7bc
processing_functions.cpython-39.pyc
Jul 30, 2025 - Transformations of the spatial activity manifold convey aversive information in CA3
Unknown - 35.2 KB - MD5: efa9322fd91ca4c30723ed732fe532a1
processing_functions.py
Jul 30, 2025 - Transformations of the spatial activity manifold convey aversive information in CA3
Python Source Code - 51.6 KB - MD5: 4185dee55dec468123e38e06e7a1277f
project_parameters.cpython-39.pyc
Jul 30, 2025 - Transformations of the spatial activity manifold convey aversive information in CA3
Unknown - 5.8 KB - MD5: 7b798486bb89a9761ce6054aae0ea21c
project_parameters.py
Jul 30, 2025 - Transformations of the spatial activity manifold convey aversive information in CA3
Python Source Code - 8.6 KB - MD5: 2a8f3b6357df7366fd3bb18deeda9a7b
pyproject.toml
Jul 30, 2025 - Transformations of the spatial activity manifold convey aversive information in CA3
Unknown - 685 B - MD5: dae1acfdd1a11ca87e6dc35d312c48fd
SFB1089(University of Bonn)
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Jul 30, 2025
Bibliographic data for gender and ethnicity analysis
Jul 30, 2025 - ZEF: Center for Development Research
Kamau, Hannah Nyakio; Tran, Uyen Thi Thien, 2025, "Bibliographic data for gender and ethnicity analysis", https://doi.org/10.60507/FK2/XIFJHS, bonndata, V1
This dataset contains bibliographic records extracted from peer-reviewed articles indexed in Web of Science (WoS), published between 2000 and 2021. The primary objective of this dataset is to investigate gender and ethnic disparities in research productivity within the field of land science. Key Analyses Conducted Disparity Assessment: Examined var...
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