zenodo a cannabis use reddit dataset  (Reddit Inc)

Journal: Data in Brief

Article Title: DriveNet: A comprehensive dataset for driver posture recognition to enhance ergonomics and safety

doi: 10.1016/j.dib.2026.112950

Figure Lengend Snippet: Illustration of the DriveNet Dataset.

Article Snippet: The DriveNet dataset is publicly available in the Mendeley Data repository: https://data.mendeley.com/datasets/v37nxdn2gh/6 .

Techniques:

Journal: Data in Brief

Article Title: SiNuS: A comprehensive dataset for singular nuclei segmentation for HER2 grading of breast cancer

doi: 10.1016/j.dib.2026.112934

Figure Lengend Snippet: Folder structure of the SiNuS dataset.

Article Snippet: The SiNuS dataset is publicly available on Mendeley at ( https://data.mendeley.com/datasets/gtjrgwbntc/2 ) and distributed under the CC BY 4.0 license, permitting reuse with proper citation.

Techniques:

Journal: Data in Brief

Article Title: A large-scale benchmark dataset for Urdu script optical character recognition with systematic augmentation

doi: 10.1016/j.dib.2026.112938

Figure Lengend Snippet: Representative renderings of all 48 character classes across four calligraphic styles, sampled from the 201 font styles in FIPU-OCR-CHAR, illustrating typographic variation across the dataset.

Article Snippet: Mendeley Data FIPU-OCR-CHAR: Font-Invariant Printed Urdu Character Dataset (Original data) .

Techniques:

Journal: Data in Brief

Article Title: A large-scale benchmark dataset for Urdu script optical character recognition with systematic augmentation

doi: 10.1016/j.dib.2026.112938

Figure Lengend Snippet: Overview of the FIPU-OCR-CHAR dataset generation pipeline. The process proceeds through five sequential stages from font style validation to final dataset organization.

Article Snippet: Mendeley Data FIPU-OCR-CHAR: Font-Invariant Printed Urdu Character Dataset (Original data) .

Techniques: Biomarker Discovery

Journal: Results in chemistry

Article Title: Assessing the impact of data harmonization on human liver microsomal stability prediction model performance

doi: 10.1016/j.rechem.2026.103305

Figure Lengend Snippet: Visualization of chemical space diversity using a t-SNE plot of RDKit molecular descriptors for Biogen (green), ChEMBL (teal), NCATS (purple), AstraZeneca (orange), Polaris (magenta). (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)

Article Snippet: The single-dataset ChEMBL and single-dataset NCATS models showed comparable performance to each other across all metrics and both the single-dataset ChEMBL and single-dataset NCATS models generally improved with the addition of Biogen data.

Techniques:

Journal: iScience

Article Title: Multi-omics profiling-derived signature links cellular ecosystem to glioblastoma prognosis

doi: 10.1016/j.isci.2026.115982

Figure Lengend Snippet: Transcriptomic and TME characteristics associated with ECMSig in TCGA-GBM cohort (A) Volcano plot showing DEGs between ECMSig-high and ECMSig-low groups. Red dots: upregulated in high-risk; blue dots: upregulated in low-risk. Benjamini-Hochberg adjusted. (B) Gene set enrichment analysis (GSEA) plots showing enrichment of hallmark pathways. Pathways enriched in ECMSig-high and ECMSig-low groups are shown with their running enrichment scores (ESs) and ranked gene lists. Benjamini-Hochberg adjusted. (C) Heatmap showing the activity scores of selected oncogenic and tumor-related signaling pathways (rows) across TCGA-GBM samples (columns), annotated by ECMSig group and ECMSig score. Red indicates high activity, blue indicates low activity. ∗ p < 0.05. Wilcoxon signed-rank test. (D) Heatmap depicting the estimated infiltration levels of various immune and stromal cell types (rows) in TCGA-GBM samples (columns), stratified by ECMSig group and score. Red indicates high infiltration, blue indicates low infiltration. Cells significantly highly infiltrated in ECMSig-high are labeled in red, and those high in ECMSig-low group are in blue. ∗q < 0.05, ∗∗q < 0.01, ∗∗∗q < 0.001. Wilcoxon signed-rank test. Benjamini-Hochberg adjusted. (E and F) Scatterplots showing the spearman correlation between ECMSig score and (E) Macrophage_XCELL infiltration score and (F) immune_score_XCELL. The blue line represents the linear regression fit with 95% confidence interval bands. Spearman correlation test.

Article Snippet: The single-cell transcriptomic sequencing dataset utilizing technology from the 10X Genomics platform was available under the accession number GEO: GSE182109 at the Gene Expression Omnibus (GEO) repository.

Techniques: Activity Assay, Protein-Protein interactions, Labeling

Journal: iScience

Article Title: Multi-omics profiling-derived signature links cellular ecosystem to glioblastoma prognosis

doi: 10.1016/j.isci.2026.115982

Figure Lengend Snippet: Single-cell RNA sequencing analysis revealing ECMSig expression across cell types and identification of prognostically relevant cell states in GBM (A) UMAP visualization of major cell types identified in GBM scRNA-seq data. (B) Dot plot showing the scaled average expression (color intensity) and percentage of cells expressing (dot size) canonical marker genes for each major cell type. (C) Dot plot showing the scaled average expression and percentage of cells expressing the seven ECMSig genes across major cell types. (D) UMAP plots showing the expression levels of individual ECMSig genes and overall ECMSig score across all cells. (E–G) UMAP plots illustrating Scissor-identified prognostically unfavorable (Scissor_Pos, red dashed circle) and favorable (Scissor_Neg, blue dashed circle; Scissor_Others, gray) cell subpopulations within (E) tumor cells, (F) myeloid cells, and (G) endothelial cells. (H–K) Violin plots comparing ECMSig scores among tumor cells grouped by Scissor status (H) and tumor type (I), and myeloid cells (J) or endothelial cells (K) grouped by Scissor status. ∗∗∗∗ p < 0.0001. Wilcoxon signed-rank test. (L) Dot plot showing differentially expressed marker genes between myeloid Scissor_Pos and other myeloid cells. Dot size indicates the fraction of cells in the group expressing the gene; color indicates average expression level.

Article Snippet: The single-cell transcriptomic sequencing dataset utilizing technology from the 10X Genomics platform was available under the accession number GEO: GSE182109 at the Gene Expression Omnibus (GEO) repository.

Techniques: Single Cell, RNA Sequencing, Expressing, Marker

Journal: iScience

Article Title: Multi-omics profiling-derived signature links cellular ecosystem to glioblastoma prognosis

doi: 10.1016/j.isci.2026.115982

Figure Lengend Snippet: Spatial transcriptomic analysis revealing co-localization of ECMSig, hypoxia, Scissor-Positive cells, and pericytes in GBM (A) Spatial feature plots for four GBM samples. Each row represents a sample. Columns show spatial heatmaps of: ECMSig score, hypoxia signature score, tumor Scissor_Pos signature score, myeloid Scissor_Pos signature score, endothelial Scissor Pos signature score, and pericyte marker signature score. Color scale indicates scaled expression or score (low to high). Each dot represents a spatial barcoded spot.

Article Snippet: The single-cell transcriptomic sequencing dataset utilizing technology from the 10X Genomics platform was available under the accession number GEO: GSE182109 at the Gene Expression Omnibus (GEO) repository.

Techniques: Marker, Expressing