[Examples] Dataset Description Sheet

Example – Dataset Description Sheet

Dataset title: Fluorescence Imaging of Rotaxanes – Series 1

Type: Experimental data (high-resolution TIFF images)

Estimated size: 8 GB (100 images of ~80 MB each)

Collection protocol: Confocal microscopy using protocol X (parameters recorded in electronic lab notebook)

Format / software: .tiff format, readable with Fiji / ImageJ

Purpose or use in the project: These data are used to analyse the expression patterns of specific genes in response to various immune stimulations. They support the project’s main hypothesis regarding the transcriptomic regulation mechanisms of human B cells. The images also serve to compare experimental conditions and to generate figures for scientific publications..

Dataset title: Transcriptomic Analysis of Human B Cells Stimulated In Vitro

Type and nature of data: Experimental RNA-Seq data (full transcriptome), generated from B cell lines treated under various conditions

Estimated size: ~50 GB

Raw FASTQ files (~8 GB each, 6 samples)

Processed files (count tables, analysis outputs): ~2 GB

Collection and processing protocol: Total RNA extraction

Quality control (Bioanalyzer)

Illumina NextSeq sequencing

Bioinformatic processing using STAR for alignment and featureCounts for quantification

Differential expression analysis using DESeq2 in R

All parameters, software versions, and scripts are documented in an accompanying README file.

Formats and software:

Raw data: .fastq

Processed data: .csv (normalized counts), .RData (R objects for DESeq2 analysis)

Visualisations: .png, .pdf

Software: R (DESeq2, ggplot2), FastQC, STAR, featureCounts

Purpose or use in the project: These data are used to identify gene expression changes triggered by different experimental conditions. They are central to testing the project’s main hypothesis on transcriptomic regulation in human B cells and will be used to support scientific publications.