How to cite this Dataset
Description
Dataset contains a set of data collected during liquid AP-MALDI MS sample preparation studies. Dataset contains 9 sets of mass spectrometry data acquired on an in-house developed AP-MALDI ion source attached to a commercial Synapt G2-Si mass spectrometer. Other data include 3 surface tension measurements acquired on a Kruess K-12 tensiometer, and 3 processed laser energy threshold measurements datasets.
Resource Type: |
Dataset |
Creators: |
Ryumin, Pavel ORCID: https://orcid.org/0000-0002-7423-6169 and Cramer, Rainer ORCID: https://orcid.org/0000-0002-8037-2511 |
Rights-holders: |
University of Reading |
Data Publisher: |
University of Reading |
Publication Year: |
2017 |
Data last accessed: |
23 November 2023 |
DOI: |
https://doi.org/10.17864/1947.102 |
Metadata Record URL: |
https://researchdata.reading.ac.uk/id/eprint/102 |
Organisational units: |
Life Sciences > School of Chemistry, Food and Pharmacy > Department of Chemistry |
Participating Organisations: |
University of Reading |
Keywords: |
liquid MALDI, mass spectrometry, protein analysis |
Rights: |
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Data Availability: |
OPEN |
Project Name: |
Development of a Novel MALDI Mass Spectrometer and Technology for the Generation of Multiply Charged Ions at High Sensitivity |
Funders: |
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Resource Language: |
English |
Collection period: |
From January 2016 To January 2017 |
Data collection method: |
The dataset contains data that was generated using a commercial mass spectrometer Synapt G2-Si (Waters) equipped with an in-house developed AP-MALDI ion source. MassLynx software (ver. 4.1; Waters) was used to collect and process the data. Surface tension data were acquired on a commercial tensiometer K-12 (Kruess).
The manuscript in preparation at time of the data deposit is entitled 'The composition of liquid AP-MALDI MS matrices and its effect on ionization' by P.Ryumin, R.Cramer contains the methods section where the exact procedures of the data acquisition are described. |
Data processing and preparation activities: |
DriftScope (ver. 2.4; Waters) was used to extract the data, and msconvert utility from open source ProteoWizard software package (ver. 3.0.6893) was used to convert the data to mzML format. Open source pymzML (ver. 0.7.6) Python (ver. 3.4.) libraries were used to extract the data correspondingly. In-house developed scripts were used to analyse the data. |
Depositing User: |
Professor Rainer Cramer
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Date Deposited: |
08 Sep 2017 14:56 |
Last Modified: |
29 Jul 2023 04:18 |
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