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DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
23,873 datasets
RoboCasa365 Target Composite Seen contains 8,077 episodes of human teleoperation data for 16 composite tasks, recorded across 10 held-out target kitchens. The dataset includes 6,002,265 frames, representing approximately 83 hours of video at 20 frames per second. It was created by ember-lab-berkeley and last updated on Hugging Face in May 2026.
Lord Howe Island's carbonate deposits contain a record of up to 7 discrete phases of deposition during the Middle Pleistocene. A chronology is constructed based on U/Th ages of speleothems and corals, TL ages, AMS 14C, and amino acid racemization dating. The dataset is hosted by the Australian Ocean Data Network and was last updated in April 2026.
From March 2013 to June 2016, the CO2QUEST project investigated the optimal composition and purity of CO2 streams for safe and economic transport and storage. The project involved 9 partners across Europe, Canada, and China, resulting in over 100 peer-reviewed publications and conference proceedings. It was coordinated by Haroun Mahgerefteh at UCL and funded by the European Commission's FP7 program.
Acute myeloid leukemia research identifies seven hub lactylation-related genes (LSP1, MPO, GZMB, SPINK2, HLA-DRB1, HLA-DRA, POU2F2) through integrative analysis of GEO and TCGA data. The study employs machine learning algorithms including LASSO-logistic, SVM-RFE, and Boruta to validate prognostic biomarkers. GZMB and LSP1 were confirmed via Mendelian randomization as clinical modeling indicators.
Seven hub lactylation-related genes (LSP1, MPO, GZMB, SPINK2, HLA-DRB1, HLA-DRA, POU2F2) were identified through integrative analysis of AML data from GEO and TCGA databases. Machine learning models, including LASSO-logistic and SVM-RFE, were used to validate these prognostic biomarkers. The study links these genes to immune pathways and potential therapeutic drug interactions.
Acute myeloid leukemia research identifies seven lactylation-related hub genes (LSP1, MPO, GZMB, SPINK2, HLA-DRB1, HLA-DRA, POU2F2) as prognostic biomarkers. The study integrates data from GEO and TCGA databases, applying machine learning algorithms like LASSO-logistic and SVM-RFE for gene selection. It validates findings through Mendelian randomization, molecular docking, and experimental assays on AML cell lines.
Seven hub lactylation-related genes (LRGs) were identified as prognostic biomarkers for acute myeloid leukemia (AML). The dataset includes genes LSP1, MPO, GZMB, SPINK2, HLA-DRB1, HLA-DRA, and POU2F2, with GZMB and LSP1 validated via Mendelian randomization. Analysis leveraged data from GEO and TCGA databases, applying machine learning algorithms like LASSO-logistic and SVM-RFE for gene selection.
Zhibo Guo's research dataset identifies seven lactylation-related genes (LSP1, MPO, GZMB, SPINK2, HLA-DRB1, HLA-DRA, POU2F2) as prognostic biomarkers in acute myeloid leukemia. It integrates data from GEO and TCGA databases, analyzed using machine learning algorithms like LASSO-logistic and SVM-RFE. The 14.4 KB XLSX file contains results from this integrative profiling study.
This dataset presents seven hub lactylation-related genes (LSP1, MPO, GZMB, SPINK2, HLA-DRB1, HLA-DRA, POU2F2) identified as prognostic biomarkers for Acute Myeloid Leukemia (AML). It integrates findings from RNA and single-cell sequencing data from the GEO and TCGA databases, validated through machine learning algorithms and Mendelian randomization. The data supports the investigation of lactate regulation's role in AML pathogenesis and potential therapeutic strategies.
Zhibo Guo's 2026 research provides a dataset of seven hub lactylation-related genes (LRGs) identified in acute myeloid leukemia. The data, derived from TCGA and GEO databases, includes prognostic biomarkers like GZMB and LSP1 validated through Mendelian randomization. It supports the development of machine learning models for AML prognosis.
Seven hub lactylation-related genes (LSP1, MPO, GZMB, SPINK2, HLA-DRB1, HLA-DRA, POU2F2) were identified as prognostic biomarkers for acute myeloid leukemia (AML) through integrative profiling. The analysis leveraged RNA and single-cell sequencing data from public databases and validated findings using machine learning models and Mendelian randomization. GZMB and LSP1 were specifically validated as key clinical modeling indicators.
A high-quality chromosome-level reference genome for the migratory locust, accompanied by the largest resequencing dataset to date. The dataset includes genome-wide maps of SNPs and transposable element insertion polymorphisms. It was authored by Xuanzhao Li and last updated on April 24, 2026.
Samples from sand mine pits at Beachmere and an estuarine channel at Bells Creek in southeast Queensland were analysed for indurated sand layers. The dataset includes optical and thermoluminescence (OSL/TL) ages indicating induration processes occurring over periods up to approximately 100,000 years. It was published by the Australian Ocean Data Network and last updated in April 2026.
A benchmark dataset for evaluating spatio-temporal reasoning during vision-and-language navigation tasks, used with the LASAR model. The dataset was created by TMarcus and is associated with a CVPR 2026 publication. It includes video files and associated data files organized in a directory structure.
Environmental baseline data for the Van Diemen Rise on the Sahul Shelf in the eastern Timor Sea. The dataset likely contains information on Quaternary evolution, modern geological processes, and environmental features, compiled by the Australian Ocean Data Network. It was last updated on 2026-04-16.
One joint statement issued by G7 foreign ministers during their meeting in Toronto on April 22 and 23, 2018. The document is a statement of commitment to support the implementation of international humanitarian law. It is archived by Global Affairs Canada and is provided as a PDF for research or recordkeeping purposes.
Westmeijer's dataset provides raw metatranscriptomic data supporting the analysis in 'Low prokaryotic growth efficiency enhances the carbon demand estimate for the Central Arctic Ocean'. The 188.6 MB dataset contains transcripts per million (TPM) values for each open reading frame (ORF), along with assigned taxonomy and functional annotations. It was last updated on 2026-04-28 and is shared under a CC-BY-4.0 license.
Ayumi Itabashi published a supplementary table of differentially expressed genes (DEGs) on figshare in April 2026. The 3.9 MB XLSX file contains a complete list of DEGs between AGM Sox17⁻ and AGM Sox17⁺ samples, including log2FC, p-value, and FDR values.
3.9 MB Excel file containing a complete list of differentially expressed genes (DEGs) from RNA-seq analysis. The table includes log2 fold change, p-value, and false discovery rate for genes comparing Sox17⁺ cells from the AGM and BM sites. Author Ayumi Itabashi published the supplementary material on figshare in April 2026.
Complaints received by the Civilian Office of Police Accountability and its predecessor agency. Each row represents a single complaint, with multi-person data delimited by pipes. The dataset includes columns for complaint categories, demographics of complainants and involved officers, beat locations, and case status.