Please enable JavaScript in your browser. It is required to use most of the features of Dataverse.

RepOD

Select dataverse

Add dataset

Metrics

264,933 Downloads

Share Dataverse

Share this dataverse on your favorite social media networks.

Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Search results

Keyword Term: deep learning

1 to 5 of 5 Results

DatasetDataset on the application of machine learning to assess the quality of food products. Case study: coffee bean Sep 27, 2023 - DataverseFood and Nutrition Technology Przybył, Krzysztof, 2023, "Dataset on the application of machine learning to assess the quality of food products. Case study: coffee bean", https://doi.org/10.18150/0B46MT, RepOD, V1
DatasetSupplementary Data 4 for 'IPC 2.0 – prediction of isoelectric point and pKa dissociation constants' Apr 16, 2021 Kozlowski, Lukasz P., 2021, "Supplementary Data 4 for 'IPC 2.0 – prediction of isoelectric point and pKa dissociation constants'", https://doi.org/10.18150/7LDND3, RepOD, V2
DatasetSupplementary Data 3 for 'IPC 2.0 – prediction of isoelectric point and pKa dissociation constants Mar 4, 2021 Kozlowski, Lukasz P., 2021, "Supplementary Data 3 for 'IPC 2.0 – prediction of isoelectric point and pKa dissociation constants", https://doi.org/10.18150/CAG3QJ, RepOD, V1
DatasetSupplementary Data 2 for 'IPC 2.0 – prediction of isoelectric point and pKa dissociation constants' Feb 19, 2021 Kozlowski, Lukasz P., 2021, "Supplementary Data 2 for 'IPC 2.0 – prediction of isoelectric point and pKa dissociation constants'", https://doi.org/10.18150/34GBOB, RepOD, V1
DatasetSupplementary Data 1 for 'IPC 2.0 – prediction of isoelectric point and pKa dissociation constants' Feb 19, 2021 Kozlowski, Lukasz P., 2021, "Supplementary Data 1 for 'IPC 2.0 – prediction of isoelectric point and pKa dissociation constants'", https://doi.org/10.18150/QLPZDQ, RepOD, V1

Dataset on the application of machine learning to assess the quality of food products. Case study: coffee bean

Sep 27, 2023 - Food and Nutrition Technology

Przybył, Krzysztof, 2023, "Dataset on the application of machine learning to assess the quality of food products. Case study: coffee bean", https://doi.org/10.18150/0B46MT, RepOD, V1

Supplementary Data 4 for 'IPC 2.0 – prediction of isoelectric point and pKa dissociation constants'

Apr 16, 2021

Kozlowski, Lukasz P., 2021, "Supplementary Data 4 for 'IPC 2.0 – prediction of isoelectric point and pKa dissociation constants'", https://doi.org/10.18150/7LDND3, RepOD, V2

Supplementary Data 3 for 'IPC 2.0 – prediction of isoelectric point and pKa dissociation constants

Mar 4, 2021

Kozlowski, Lukasz P., 2021, "Supplementary Data 3 for 'IPC 2.0 – prediction of isoelectric point and pKa dissociation constants", https://doi.org/10.18150/CAG3QJ, RepOD, V1

Supplementary Data 2 for 'IPC 2.0 – prediction of isoelectric point and pKa dissociation constants'

Feb 19, 2021

Kozlowski, Lukasz P., 2021, "Supplementary Data 2 for 'IPC 2.0 – prediction of isoelectric point and pKa dissociation constants'", https://doi.org/10.18150/34GBOB, RepOD, V1

Supplementary Data 1 for 'IPC 2.0 – prediction of isoelectric point and pKa dissociation constants'

Feb 19, 2021

Kozlowski, Lukasz P., 2021, "Supplementary Data 1 for 'IPC 2.0 – prediction of isoelectric point and pKa dissociation constants'", https://doi.org/10.18150/QLPZDQ, RepOD, V1

Add Data

You need to Log In/Sign Up to create a dataverse or add a dataset.

Link Dataverse