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QSAR-TID-10695 | DataSalon

Home ChemistryQSAR-TID-10695

Chemistry

QSAR-TID-10695

Name: QSAR-TID-10695
Creator: Dr Jeremy Besnard, Dr Ivan Olier, Dr Noureddin Sadawi, Dr Larisa Soldatova, Dr Crina Grosan, Prof Ross King, Dr Richard Bickerton, Prof Andrew Hopkins and Dr Willem van Hoorn
License: us-pd

by Dr Jeremy Besnard, Dr Ivan Olier, Dr Noureddin Sadawi, Dr Larisa Soldatova, Dr Crina Grosan, Prof Ross King, Dr Richard Bickerton, Prof Andrew Hopkins and Dr Willem van Hoorn

Sparse_ARFF

Available on 1 platform

Description

Identified as QSAR-TID-10695 from the OpenML platform. No information is available regarding its contents, size, structure, or origin.

Use Cases

null

Strengths

null

Limitations

No descriptive metadata, column definitions, or sample data are provided, making assessment impossible.
The dataset's size, format, and license are unknown, posing significant barriers to use.

Provenance

Source: OpenML

The dataset lacks all descriptive metadata; users must query the OpenML platform directly to discover its purpose and structure before any attempt to use it.

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Quality Score

C46

Description

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Reputation

Quality Score

C46

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Source

Reputation

Access

Community

0 views

Dataset Info

License: us-pd
Author: Dr Jeremy Besnard, Dr Ivan Olier, Dr Noureddin Sadawi, Dr Larisa Soldatova, Dr Crina Grosan, Prof Ross King, Dr Richard Bickerton, Prof Andrew Hopkins and Dr Willem van Hoorn

Access

Community

0 views

Dataset Info

License: us-pd
Author: Dr Jeremy Besnard, Dr Ivan Olier, Dr Noureddin Sadawi, Dr Larisa Soldatova, Dr Crina Grosan, Prof Ross King, Dr Richard Bickerton, Prof Andrew Hopkins and Dr Willem van Hoorn

QSAR-TID-10695

Description

Use Cases

Strengths

Limitations

Provenance

Related Topics

Related Datasets

Quality Score

Community

Dataset Info

Community

Dataset Info