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QSAR-TID-10364 | DataSalon

Home ChemistryQSAR-TID-10364

Chemistry

QSAR-TID-10364

Name: QSAR-TID-10364
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

Data from the OpenML platform with the identifier QSAR-TID-10364. No descriptive metadata, sample data, or structural information is available.

Use Cases

null

Strengths

null

Limitations

No descriptive metadata, column definitions, or sample data are provided, making initial assessment impossible.
The dataset's size, format, and license are unknown, creating significant uncertainty for potential use.

Provenance

Source: OpenML

The dataset lacks all descriptive and structural metadata; users must download it or query the OpenML API directly to discover its contents and suitability.

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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-10364

Description

Use Cases

Strengths

Limitations

Provenance

Related Topics

Related Datasets

Quality Score

Community

Dataset Info

Community

Dataset Info