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Comma Separated Values - 2.7 KB -
MD5: 0963bbb3fc9374d9139527b7d60d408d
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Adobe PDF - 192.3 KB -
MD5: c94cd1ca702e8cb2ca188fa04a6fd847
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Adobe PDF - 2.9 MB -
MD5: 15159b0daf7b8f8dee10a160edc3c6f1
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Plain Text - 3.5 KB -
MD5: 322159369e7c9d610b5fe142976e60be
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Aug 28, 2025 -
Replication Data for: Mat-forming lichens support contrasting micro-arthropod density
Plain Text - 8.8 KB -
MD5: 5dab1e821e51a676091d5091a24bcec7
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Aug 28, 2025 -
Replication Data for: Mat-forming lichens support contrasting micro-arthropod density
Comma Separated Values - 3.4 KB -
MD5: 91030c4a0306ce78e2e17f026d797fba
Arthropod counts in lichen and soil, lichen mat traits and microclimate |
Aug 28, 2025 -
Replication Data for: Mat-forming lichens support contrasting micro-arthropod density
Comma Separated Values - 2.7 KB -
MD5: a082ace2a1cbaa2da3d2c1811ef8c1a3
Measurements of soil elements |
Plain Text - 7.0 KB -
MD5: e4467ab7ce9df768899dd290ffd5f20a
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Unknown - 287.0 MB -
MD5: 0c81b315e1628295658c0defa0486c9c
The .pkl file integrates all the processed data from the .nwb files into a single DataFrame for easier access, without the need to load large files every time, where each row represents one single neuron's data.
Data structure (for example, read the file using pandas.read_pickle(... |
Python Source Code - 1.3 KB -
MD5: bf2fcbbd6418a75410223d6d620285af
A example code for reading the .nwb data. Requires python and pynwb. |