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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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https://doi.org/10.5281/zenodo...
Dataset . 2022
License: CC BY
Data sources: Sygma
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https://doi.org/10.5281/zenodo...
Dataset . 2022
License: CC BY
Data sources: Sygma
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PROSPECT

Authors: Shouman, Omar; Gabriel, Wassim; Giurcoiu, Victor; Sternlicht, Vitor; Wilhelm, Mathias;
Abstract

PROSPECT: Labeled Tandem Mass Spectrometry Dataset for Machine Learning in Proteomics PROSPECT (PROteometools SPECTrum compendium) is a large annotated dataset leveraging the raw data from ProteomeTools. The dataset consists of 12 packages and has two main parquet file formats; meta-data and annotation files. Each package has one meta-data file, while the annotations file is split into multiple files per package to facilitate reading the data. Annotation files are sub-organized by pools, where a pool is a set of ~1k peptides measured in one analysis to keep the complexity low and the identification rate high. The annotation files are also zipped together into archives. In all files, a unique identifier to trace back any example to its original raw data file in ProteomeTools is provided. This identifier is the combination of the raw file ID and the scan number. The original ProteomeTools dataset is available on PRIDE: Part1, Part2, Part3.

Bundesministerium für Bildung und Forschung – BMBF; Grant Number 031L0008A

Related Organizations
Keywords

Proteomics, Neutral Losses, Machine Learning, Deep Learning, Mass Spectrometery, Fragment Ions, ProteomeTools, Annotated Spectra

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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