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DNA/RNA sequences, gene expression, protein structures, metagenomics, single-cell sequencing
23,873 datasets
Quantitative mass spectrometry data profiles proteomic changes following SMARCA4 knockdown in HD-MB03 cells, a model for Group 3 medulloblastoma. The dataset was generated by Medha Gayathri J. Pai and published on figshare in March 2026. It captures dysregulated proteins and pathways, including SWI/SNF complex subunits and lipid metabolism enzymes.
Phillips-Sunray Buckabie No.1 Well, drilled to 9,070 feet near Quilpie, SW Queensland, provides lithological and paleontological data from cuttings and cores. The Australian Ocean Data Network published a report examining cuttings from 80 to 3,310 feet and three specific cores to determine a Lower Cretaceous sequence. This dataset likely contains stratigraphic and fossil occurrence data for the Great Artesian Basin.
Palynological examination of cores from the subsidised A.O.G. Wentworth No.1 well indicates a transition from Tertiary into Lower Cretaceous marine sediments at depths between 1283-1335 feet or 140-1455 feet. The well was completed in conglomerates, probably of Lower Permian age, at a total depth of 2081 feet. This report, hosted by the Australian Ocean Data Network, compares these findings with samples from the Oaklands-Coorabin coalfield.
5.5 KB Excel file contains the overall accuracy results for a 'positional' classifier predicting the chromosomal location of var genes in the malaria parasite Plasmodium falciparum. The data was generated by author Elcid Aaron Pangilinan using machine learning models on a reannotated subset of var genes classified as upsA, upsE, upsB_subtelomeric, and upsBC_internal. The dataset was last updated on April 16, 2026, and is shared under a CC-BY-4.0 license.
342 female giant crabs (Pseudocarcinus gigas) were sampled to estimate intermoult duration using computerized tomography (CT) scanning of ovaries and radiometric aging (228Th/228Ra) of carapaces. The data was published by the Australian Ocean Data Network and last updated in April 2026. The work focuses on testing methodological assumptions rather than describing population-level intermoult duration.
A dataset sourced from references [33,34] summarizes the temperature-dependent density of various biological tissues. The dataset is 5.5 KB in size and was authored by Oleh V. Ivakhnenko. It was last updated on 2026-04-16.
Thermodynamic parameters compiled from three scientific references for mammalian tissues. The data is stored in an Excel file and is 5.5 KB in size. The dataset was authored by Oleh V. Ivakhnenko and last updated on April 16, 2026.
1,072-sample dataset comparing findings from logistic regression, latent-only SEM, and network centrality analyses. The data is hosted on figshare and was last updated on April 16, 2026. Author Md Rizwanul Karim published the results in an Excel file under a CC-BY-4.0 license.
Bill of Materials to construct the MobileLAMP. Mohini Bhupathi published this dataset on figshare in April 2026. The cost of the 3D-printed parts is estimated assuming a $22.99 per kg spool of PLA material.
Cole E. McGuire created a zip file of tables containing individual genes ranked by their predicted involvement in each predicted Gene Ontology (GO) term. The predictions were made by Model 1 as described in a referenced research article. The dataset was last updated on April 16, 2026.
Pierre Darlu published a dataset on surname distribution based on birth records in Martigues. The data is structured in classes from 0 to more than 10 births per surname, split into periods before and after 1720. The dataset is 5.5 KB in size and was last updated on April 16, 2026.
Madhusmita Rout published this dataset on figshare in April 2026. The 10.6 KB XLSX file contains results from regression analyses calculating associations between genome-wide metabolite polygenic risk scores (PRS) and lipid metabolites, type 2 diabetes (T2D), and coronary artery disease (CAD).
A tabular dataset containing statistical associations between lipid metabolites and polygenic risk scores for Type 2 Diabetes and Coronary Artery Disease. The 18.2 KB XLSX file, authored by Madhusmita Rout and last updated in April 2026, presents p-values calculated using regression for both ancestry-specific and European-derived PRS variants.
A 12.6 KB Excel file published on figshare by Madhusmita Rout on April 23, 2026. The dataset presents results from a multivariate regression analysis, showing the association between SNPs (mQTLs) for the lipid metabolite LPC O-16:0 and Coronary Artery Disease (CAD). It includes separate results for South Asian and European populations.
12.5 KB Excel file containing data on metabolite quantitative trait loci (mQTL) SNPs for lysophosphatidylcholine O-16:0 and their association with Type 2 Diabetes. The dataset, authored by Madhusmita Rout and last updated in April 2026, includes results from multivariate regression analyses for both South Asian and European populations.
13.9 KB of genetic data detailing SNPs associated with lipid metabolites LPC O-16:0 and PC 38:4. The dataset, authored by Madhusmita Rout and last updated in April 2026, likely contains minor allele frequencies for these metabolite quantitative trait loci (mQTLs) across different cohorts. It is shared under a CC-BY-4.0 license on figshare.
7,356 episodes of human teleoperation data for 65 atomic robot skills, comprising 1,495,313 video frames. This dataset is part of the larger 482-hour RoboCasa365 pretraining collection, mirrored in the LeRobot v3.0 layout for direct loading. The data was contributed by ember-lab-berkeley and was last updated in May 2026.
Geoscience Australia Data provides entropy-ratio maps for classifying surficial facies of coral reefs. The method uses a ternary classification based on detritus, framework encrustation, and pavement, and is sensitive to reef zonation. An example application is given for the Great Barrier Reef.
Geoscience Australia Data published a palynological report on the S.P.L. No.1 (Birkhead) well. The report is based on an examination of twenty-two samples, chiefly cuttings, and suggests the Permian-Triassic boundary lies between 3600 and 3700 feet. It indicates a marine influence in Upper Permian times and a possibly older unit at 5000 feet, with no age evidence offered for strata above 1900 feet and below 5035 feet.
An Antarctic sea-ice diatom, likely Nitzschia stellata, genome assembly and predicted proteome are provided by the Australian Ocean Data Network. The dataset includes endogenous viral element sequences identified within the genome and results from comparative genomic analyses with non-polar diatoms. The genome assembly was generated through metagenomic binning of Antarctic sea-ice samples and was last updated on 2026-04-29.