Berkeley Single Cell Computational Microscopy Dataset
See the project website and paper for more information.
For using the bsccm python package for using the dataset, see the Getting Started Jupyter notebook.
Raw data is hosted here, but it is easiest to download using the python package as shown in the notebook
Metadata
Release files for bsccm 1.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| bsccm-1.2.1.tar.gz | 33.4 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bsccm-1.2.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 69.3 kB
Release files / bsccm-1.2.1.tar.gz
| Download URL | bsccm-1.2.1.tar.gz |
|---|---|
| Size | 33.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
bc1c59254b9bddfc1152c4d37aa9465277c374308932a2efbe0c70b58fabc9ae
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.6
|
Release files / bsccm-1.2.1-py3-none-any.whl
| Download URL | bsccm-1.2.1-py3-none-any.whl |
|---|---|
| Size | 35.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
4d343a391a0cfccc734855f35bef1d0278da548b27e4038c30b89fcabc089b88
|
|
BLAKE2b-256 checksum How to use checksums |
e4a898839a6d273f624f0e92ede655d7fe2951b02df11ebb4c3e3656ce85040f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.6
|
Security for bsccm 1.2.1
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