Aird is a new format for mass spectrometry data storage. It is an opensource and computation-oriented format with controllable precision, flexible indexing strategies, and high compression rate for m/z, intensity and ion mobility pairs. Aird provides a novel compressor called ComboComp for m/z data compression,which makes up an amazing compression rate. Compared with Zlib, m/z data is about 65% lower in the Aird on average. Aird is a computational friendly algorithm. Through SIMD optimization, the decoding speed of Aird is much higher than that of Zlib.
Aird SDK is a developer tool written in Java, C# and Python language. It is convenient for developers who want to read the spectrum data in the Aird file quickly. With the high performance of reading and excellent compression rate, developer can develop a lot of application based on Aird for data visualization and analysis.

Aird Index File Suffix: .json
Aird Data File Suffix: .aird
Aird Index File and Aird Data File show be stored in the same directory with the same file.

You should use the AirdPro client to transfer the vendor files into Aird format.
You can download the AirdPro from the github:
https://github.com/CSi-Studio/AirdPro/releases/
After downloading, unzip the file, click the AirdPro.exe to start the AirdPro Application AirdPro is written in C#, it is also an opensource project. Simple UI is provided by AirdPro for people to convert the vendor file to the Aird file quickly.

• DIA/SWATH
• DDA
• PRM
• DIA_PASEF
• DDA_PASEF

Demo code: see SampleCode.java in the project or in the "How to use" chapter

1. Lu, M., An, S., Wang, R. et al. Aird: a computation-oriented mass spectrometry data format enables a higher compression ratio and less decoding time. BMC Bioinformatics 23, 35 (2022)

2. Wang,J. et al. StackZDPD: a novel encoding scheme for mass spectrometry data optimized for speed and compression ratio. Scientific Reports, 12, 5384.(2022)

<dependency>
    <groupId>net.csibio.aird</groupId>
    <artifactId>aird-sdk</artifactId>
    <version>2.4.1.2</version>
</dependency>

Search "AirdSDK" in Nuget Package Manager

pip install AirdSDK

    List<File> files = AirdScanUtil.scanIndexFiles("E:\\data\\SGS");
    files.forEach(file -> {
        AirdManager.getInstance().load(file.getPath());
    });

    DIAParser diaParser = new DIAParser("\\FilePath\\file.json");
    DDAParser ddaParser = new DDAParser("\\FilePath\\file.json");
    DDAPasefParser ddaPasefParser = new DDAPasefParser("\\FilePath\\file.json");
    DIAPasefParser diaPasefParser = new DIAPasefParser("\\FilePath\\file.json");
    PRMParser prmParser = new PRMParser("\\FilePath\\file.json");

    DDAParser parser1 = new DDAParser(YOUR_AIRD_INDEX_FILE_PATH);
    AirdInfo airdInfo = parser.getAirdInfo();

    int num = 12
    Spectrum pairs = parser.getSpectrum(num);

    double rt = 12.3456
    Spectrum pairs = parser.getSpectrum(num);

    DIAParser diaParser = new DIAParser("\\FilePath\\file.json");
    AirdInfo airdInfo = diaParser.getAirdInfo();
    airdInfo.getIndexList().forEach(blockIndex -> {
       TreeMap<Double, Spectrum> map = diaParser.getSpectrums(blockIndex); //key is retention time
    });

This is only for DDAParser with small DDA data file(< 200MB as an advice). Read all spectra into the memory

    DDAParser ddaParser = new DDAParser("\\FilePath\\file.json");
    List<DDAMs> cycleList = ddaParser.readAllToMemory();

Detail sample code. See net.csibio.aird.sample.SampleCode